This PDF file contains the front matter associated with SPIE Proceedings Volume 12793, including the Title page, Copyright information, Table of Contents and Conference Committee lists.

In the current social construction and development, the computer network security architecture design is composed of software and hardware, which refers to the communication transmission activities with transmission control interconnection protocol as the core. With the continuous improvement of Internet information technology, a large number of Internet transaction modes, such as remote control and online payment, have emerged in the market. Although they provide convenient conditions for social residents, serious problems of cyberspace security have also arisen. In this paper, on the basis of understanding the development trend of modern science and technology innovation, according to the computer network security system framework design, clear network security service measures and management mode, in order to create a safe and comfortable network protection environment for social residents.

During the process of power system construction, whether overhead transmission lines can be stable operation has a direct influence on the quality and safety of electricity used by residents enterprises. Therefore, while attaching importance to the supervision of power system in our country, regular or irregular inspection work for overhead transmission lines will be actively organized. This can not only develop the security risks of the potential as soon as possible and formulate an effective solution. It can also ensure the safety and stability of overhead transmission lines. After understanding the basic concept of unmanned aerial vehicle (UAV) and its control inspection technology, this paper analyzes how to reasonably apply unmanned aerial vehicle (UAV) in the inspection work of overhead transmission lines based on the accumulated experience in recent years, so as to provide basic guarantee for the operation of Chinese power system.

As the core content of modern social construction and development, Internet of Things technology has made excellent achievements in practice and exploration in various countries. From the perspective of the development of information industry technology, as the third innovative development of the information industry, the Internet of Things technology not only speeds up the update speed of the information industry, but also brings more emerging industries. On the basis of understanding the development status of the Internet of Things technology and construction machinery field, this paper mainly studies the construction machinery monitoring system structure with the Internet of Things as the core, and then discusses the application and development trend of the Internet of Things in the construction machinery field, in order to lay the foundation for the construction machinery field technological innovation in the new era.

As a basic element of urban construction and development, elevators provide convenient means of transportation for people, but there are also many security risks. Therefore, some scholars put forward the use of the Internet of Things technology to improve the remote security management architecture of elevators and clarify the methods of elevator fault diagnosis and maintenance. Based on the understanding of the application architecture and main characteristics of the Internet of Things, this paper establishes the elevator fault diagnosis management system with the Internet of Things as the core, and defines the maintenance methods for the practice and development, in order to ensure the safety and stability of the operation of elevator equipment.

This paper addresses the problems of high labour intensity, low work efficiency, poor product quality and lack of conveying equipment, as the harvesting and conveying work of striped seaweed is mainly done manually. In this paper, we designed and completed a post-harvest conveying equipment based on the biomechanical characteristics of striped seaweed and carried out experimental research on the conveying effect of striped seaweed. The post-harvest conveying equipment consists of an inlet, a conveying line, a flexible vane pump and an outlet. In this paper, pump speed, water to vegetable ratio and conveying height, which have an influence on the conveying effect of seaweed, were used as test factors, and conveying capacity, energy consumption per unit mass and residual rate were used as evaluation indicators. The results showed that the conveying capacity increased with the increase of pump speed, and the conveying capacity was 3122.684kg/h at 1390r/min; the energy consumption per unit mass decreased with the increase of vegetable-water ratio; the loss rate of purple cabbage increased with the increase of pump inlet conveying height, and the loss rate was 0.94% at 2.95m. 0.94% at 2.95m. In addition, the orthogonal test found that the main factors affecting the conveying capacity, energy consumption per unit mass and loss rate were the vegetable-to-water ratio, followed by the pump inlet conveying height and pump rotational speed. The best conveying effect of the seaweed conveying equipment was achieved with a maximum of 2445.744 kg of seaweed per hour, and the energy consumption and loss rate per unit mass were less than 0.0890 kW-h/t and 0.32% respectively, meeting the actual conveying requirements.

Based on the current academic research on social work evaluation is relatively weak, the existing index system is not pertinent, the evaluation period is long, and the cost is high. This study attempts to build a real-time quantitative evaluation model using Internet open source big data and establish a targeted index system. , put forward a fast calculation method for scoring, and design and realize the prototype software. Through an empirical case, the real Internet data of a province is collected to evaluate its social work strength. The results are basically consistent with the subjective feelings and official evaluations of many interviewees, which proves the validity and rationality of the proposed model.

Graphene nanosheets have a good development in the field of power capacitors because of their unique structure, strong mechanical properties and excellent electrical conductivity. However, the capacitance capacity based on simple graphene nanomaterials is usually difficult to be adjusted dynamically. To solve this problem, this paper conducts research on the design of related capacitors and the control strategy of capacitance capacity based on the special characteristics of graphene materials. Firstly, an original five-layer graphene capacitor design is carried out in order to take advantage of the graphene material. Secondly, the control circuit and control strategy are designed and experimented, and the BP neural network algorithm is used for verification. The experiments prove that the BP neural network algorithm predicts various errors and disturbances better within the scope of this study, and the corresponding control circuit can intervene according to this prediction; thus the output current of the graphene variable capacitor is more stable.

Based on the issue, this paper applied the information technology tool of building information model (BIM) in the construction industry, which can effectively learn the quality management problems of construction projects. By summarizing the main quality questions and reasons in the traditional construction process, the technical path of construction project quality management based on BIM technology is investigated to improve the quality management.

As the core basis of industrial reform in the new era, artificial intelligence can improve the development level of informatization, automation and intelligence in the field of civil engineering, and lay the foundation for the creation of a technical system with the value of The Times. In recent years, integrated research on the integration development trend between artificial intelligence and civil engineering, clear the basic research field of artificial intelligence, use visual tools to excavate the main problems and development bottlenecks of artificial intelligence in the field of civil engineering, and put forward effective research ideas and solutions, are the core issues discussed by researchers. In this paper, the process of mass concrete placement is taken as an example, several kinds of intelligent algorithms proposed in the field of artificial intelligence are compared and analyzed, and the related prediction model and measured data are constructed. The final results show that reasonable application of artificial intelligence method can provide effective basis for monitoring, forecasting and early warning in the field of civil engineering in the future.

As the scale and complexity of software continue to increase, software security vulnerabilities are also growing. Among these vulnerabilities, configuration vulnerabilities account for a considerable proportion. These configuration vulnerabilities can only be triggered under specific configuration environments, making them harder to debug. However, existing work on vulnerability mining or vulnerability reproduction has overlooked the influence of configuration environment factors. In this paper, we investigated configuration vulnerabilities in five mainstream software products. We collected a total of 200 configuration vulnerabilities in which the related configuration changes are valid, and analyzed these vulnerabilities to construct a valid-configuration vulnerability database.

Communication engineering as a basic component of urban construction and development, project product quality directly determines the level of communication quality of social residents. Especially after the Chinese communication industry presents the characteristics of opening to the outside world, the international communication giants participate in the competition and cooperation in the Chinese communication field, which leads to the Chinese communication enterprises facing increasingly strong competition pressure. Facing the new market competition environment, Chinese communication enterprises want to occupy an important market position, improve the loyalty of enterprise users, obtain more economic benefits and social effects, to use big data technology to control the quality of communication engineering products, only in this way can achieve sustainable development goals. Based on the understanding of the development status of communication engineering industry and product quality control, this paper deeply discusses the communication engineering product quality control innovation channel with big data as the core according to the basic concept and unique characteristics of big data technology, in order to provide technical support for the innovation and development of communication industry.

Database management systems introduce thousands of configuration options to provide flexibility. However, configuration complexity and configuration dependencies have inevitably affect the system reliability and become one of the major causes of system failure. Previous research neither specifically detects configuration-related bugs nor studies the characteristics of configuration-related code in DBMSs. In this paper, we undertake one of the first attempts to conduct a real-world configuration-related branch statements characteristic study in DBMSs. We first use a taint analysis tool to construct a data set of 347 real world configuration-related branch statements including 100 in MySQL, 98 in SQLite and 149 in PostgreSQL, which are very popular. Based on our study, we have obtained some findings: (1) More than half (53. 6%) of configuration-related branch statements contain only configuration variables, 93. 5% of which contain only one configuration variable. (2) 46. 4% of configuration-related branch statements contain not only configuration variables but also program variables. (3) Complex configuration-related branch statements (which contain function call) account for 17. 9%.

With the continuous increase in the number of Autonomous Maritime Radio Devices (AMRD), the international standards for AMRD are gradually improving, and China is also researching and developing the national standard for AMRD. On the basis of studying international standards, this paper compares the differences between international standards related to AMRD and China national standard, then studies and analyses AMRD key technology. Based on the technical characteristics and application requirements of AMRD, the application scenarios of various types of AMRD are studied and suggestions for further application of AMRD are proposed.

Since the current conventional straight isolator cannot meet the needs of various new engines, the annular isolator has become a hot research object. At present, there are few studies on the flow field in the annular isolator, and most of the research contents are aimed at the shock train leading edge in the annular isolator, and there are relatively few studies on the motion of the shock train in the annular isolator. Therefore, this paper conducts experiments on the annular isolator under the steady-state back pressure to explore the motion characteristics of the shock train in the annular isolator. An experimental device of the annular isolator under static wind tunnel is designed, and the wall pressure datas of the annular isolator under different steady-state back pressures are collected. The experimental results show that the oscillation of the shock train leading edge in the annular isolator is a low frequency oscillation, and the shock train has a hysteresis effect during the movement.

In order to improve the load control business level of the new power system and meet the personalized requirements of the load control approval process, this paper proposes a design scheme of the load control approval workflow of the new power load management system. The design scheme proposes business concepts such as process, process task, to-do work order, work order footprint, etc. Based on the approval driven business process flow, it realizes the customization of the load control approval process, and satisfies the customization and self-drive of the load control approval process such as Demand response (direct control), Ordered electricity consumption, Emergency control, and Power switch verification, which is a lightweight implementation of workflow. The practical application has proved the effectiveness and convenience of the scheme in the load control approval business.

It has the advantages of low consumption of building materials, high safety performance and fast assembly, and it can also be fixed horizontally in a short time, which is a significant advantage in high-rise or large buildings. Therefore, in order to better promote the development of attached lift scaffolding technology, this study takes a large square project as an example, based on the analysis of the construction characteristics of attached scaffolding, construction principles and construction difficulties of the project, and the analysis and study of the scaffolding frame construction process and flow, aiming to sort out the control points of construction safety in the process of scaffolding assembly and erection, while ensuring the overall stability of the supporting structure, with a view to reduce the construction safety risks of large construction projects.

The construction industry has been faced with the problems of low labor productivity, labor shortage and high worker safety risk for a long time. However, building automation and robot technology bring new opportunities to solve these problems. After more than 40 years of development, the field of building automation and robot has accumulated a lot of research results, but it has not been widely used in practical engineering. Among them, high-rise buildings are large in quantity, wide in scope, complex in function, higher in engineering efficiency, quality and safety requirements, is an important direction of building automation and robot development. This study describes the development status of high-rise building automation and robot in a multi-directional way, which lays a theoretical foundation for the subsequent research. It clearly puts forward the priority development direction of high-rise building automation and robot, identifies the key factors of success, and provides important reference for relevant participants to grasp the key points and breakthrough the key, which is conducive to promoting the commercialization and practical application of the research results. Based on the research of robot prototype system, a more efficient and safe new method is provided for the safety inspection of glass curtain wall of high-rise buildings. The guarantee measures of automation and robot development in high-rise building are put forward systematically.

Ultrasound therapy is one of the most effective schemes in knee joint disease treatment. In this paper, we present simulation of low-intensity ultrasound wave propagation in knee tissue and fabricate the devised treatment model. Based on early clinical research data, the multi-physics field simulation tool comsol5.6 was used to accurately simulate and simulate the treatment effect and treatment method from the engineering perspective. Based on the simulation results, we fabricate the model device that is expected for clinical treatment. Our work may provide a scheme and specific engineering solution for ultrasonic treatment, and provide engineering technical support for the design of specific device for ultrasonic treatment of knee joint.

Solar flares are the most violent outbursts that occur in localized regions of the solar atmosphere. They emit large amounts of X-rays and energetic particles. X-rays reaching the earth at the speed of light will disrupt the calm ionospheric environment, causing sudden ionospheric disturbance (SID), which will make the very low frequency (VLF) signal to sudden phase anomaly (SPA), lead to the positioning error of satellite navigation system and interfere with satellite communication. Energetic particles will arrive near the satellite orbit in 1-3 days, causing direct damage to the satellite. They may also cause geomagnetic storms after reaching the Earth. In this paper, we mainly study to monitor solar activity and calculate solar flare class through the phase variation of VLF signal by combining the theory of VLF waveguide mode in order to forecast the environment of satellite navigation and communication, so that the protective measures for satellite to operate safely could be taken in advance.

With the development of computer technology and the increasing maturity of its application in various fields, it is difficult for people's usual mechanical keyboards to accompany them in different working situations, and the public increasingly needs a convenient and portable virtual keyboard. In this paper, a virtual keyboard system based on RGB camera is designed based on image analysis, infrared laser positioning and laser projection technology. Compared with the traditional keyboard, this system can project the keyboard image onto the desktop, and also use the camera to capture and record the movement of the fingers to determine whether there is a keystroke. The system can be used with mobile terminals to help people deal with daily office work or even emergency business anywhere, anytime.

Dynamic vibration and oscillation are a typical operating condition of wind turbine bearings. Different from constant rotating, contact points in a bearing under oscillation loading experience rolling contact loads from two opposite directions. Nevertheless, most research workings on crack behaviors available in the literature are focused on rotation rather than oscillation loading conditions. To this end, this paper establishes the 3D crack-initiated finite element model of a scaled pitch bearing coupling with ANSYS and FRANC3D. Using the developed model, the stress intensity factors (SIFs) during the oscillation cycle loading are computed based on interaction integral method. Moreover, the impact of different crack parameters (i.e. initial angle and crack size) on crack propagation rate and its kink angle is investigated. The obtained results show that the oscillation loading influences not only the crack propagation rate but also the crack growth angle, especially on the crack front midpoint. Furthermore, it has been found that oscillating rolling contact loading has a stronger impact on the behavior of both larger and vertical cracks.

In order to solve the landing risk problem caused by unknown obstacles in the landing area of multi-vector engine aircraft, an autonomous obstacle avoidance soft landing guidance and control method is designed, which mainly includes active disturbance rejection control algorithm, A-star autonomous obstacle avoidance guidance algorithm and variable thrust engine explicit guidance and control algorithm. Theoretical derivation and simulation results show that the autonomous obstacle avoidance soft landing guidance and control method designed in this paper can ensure that the multi-vector engine aircraft can automatically plan the route to achieve obstacle-avoidance and soft-land to the safe area, meeting the safety requirements of aircraft landing.

With the maturation of experimental laser cooling and atom trapping techniques, various types of atomic optical devices developed by using cold atoms as media have been born in recent years, which play an important role in the field of atomic physics. In atomic optics, Bose-Einstein condensation (BEC) has been one of the hot topics in the study of scientists. It describes the phenomenon that bosons are concentrated in the lowest energy quantum state at extremely low temperatures. In general, atomic BEC can be expressed in the form of quantum wave packet. On the basis of previous studies, two kinds of motion behaviors of Bose-Einstein condensates passing through Gaussian laser field are investigated in this paper, namely the motion phenomena of atoms under the acceleration field and the S-wave scattering collision between atoms. The atomic motion equation is derived by establishing the theoretical model, and then the numerical simulation is carried out by MATLAB program. The results show that the acceleration field only affects the velocity of the wave packet. The attractive interatomic collision will cause the collapse of the wave packet. On the contrary, the repulsion will accelerate the diffusion of the wave packet. These results will provide more theoretical and feasible schemes for studying the coherent manipulation of atoms and laser in the future.

To improve road traffic safety and reduce the incidence of unauthorized vehicle modifications, overloading, and oversizing, this study proposed a detection platform structure to support the quick measurement of key dimensions and high-precision reconstruction of local features using the automotive contour size system. Using CAE technology, static and dynamic characteristic analysis was performed on the platform structure, and optimization design was conducted on the column frame and gantry frame separately. The optimized column frame's first-order modal frequency increased by 243% from 5.16 Hz to 17.65 Hz, with an average optimization ratio of 187% for the first six modal frequencies. For the optimized gantry frame, the average optimization ratio of the key node displacement exceeded 46%, with the first-order modal frequency increasing by 13% from 36.43 Hz to 41.33 Hz, and an average optimization ratio of 21% for the first six modal frequencies. Ultimately, the optimized detection platform's key nodes achieved an average optimization ratio of nearly 60%, with the first-order modal frequency increasing by 240% from 5.16 Hz to 17.57 Hz and an average optimization ratio of 185% for the first six modal frequencies. The optimized platform structure provides robust support for the high-speed and high-precision vehicle contour detection system's implementation.

This article reported a fiber optic acoustic sensor (FOAS) used for measuring snoring signals. The fabricated sensor consists of a single-mode fiber collimator and a gold-plated quartz film. Based on the incident-angle sensing mechanism, the sensor gets rid of the stringent control of the operating wavelength and cavity length, which greatly reduce the difficulty and cost of equipment manufacturing. Experimental results show that the fabricated sensor has a sensitivity of -145.3dB (re V/µPa @5KHz) and a minimum detectable sound pressure (MDP) of 14.0µPa/Hz1/2 @ 5KHz. The prepared sensor has the advantages of simple structure, low cost, compactness, and high sensitivity, which can be used for real-time monitoring of snoring signals.

Global warming caused by rising carbon emissions is a pressing issue that demands immediate action. In this paper, we delve into the topic of carbon emission reduction solutions, examining modeling techniques that can effectively address this global crisis. By exploring innovative approaches such as artificial intelligence (AI) and intelligent systems, we aim to propose robust and efficient strategies for curbing carbon emissions and mitigating the impact of climate change. This discussion serves as a platform for reevaluating existing solutions and introducing novel ideas to combat global warming. In this paper, we regard the global temperature as a system with input and output. By set up its dynamic model and formula, finding the relation between the temperature and the influencing elements. Numerical methods are given to solve the dynamical equation. Using our model and algorithms, we can easily calculate the reason of increasing global warming. These findings indicate that large-scale factors responsible for the most societally relevant temperature variations over continents are distinct from those of global mean surface temperature. The statistical data of global carbon dioxide emission, estimates the total amount, accumulative amount, per capita amount of carbon emission, and predicts the future carbon emission. Carbon emission is an aftermath of global industrialization. Human being are responsible for reducing carbon emission. The plan for climate changes shall abide by a principle of "common but with difference in responsibility". Besides increasing energy efficiency, other renewable energies, low-carbon technologies, a global specific policy shall be established with a clear and measurable goal to stabilize global atmospheric carbon.

Along with the continuous development of data mining technology, various types of algorithms have been diversified. Cluster analysis is considered to be a very important research project and an important means of group processing and data division. At present, the research on cluster analysis algorithm has been gradually expanded to statistics, data mining, database and other related fields, and has also gained good development. Based on this, this paper analyzes the cluster analysis algorithm based on data mining and further analyzes its corresponding application practice, so as to provide some reference for the implementation of the cluster analysis algorithm based on data mining.

In order to predict the propeller noise under different phase angle combinations, a computational fluid dynamics approach incorporating the FW-H equation was used to calculate the acoustic field characteristics of the propeller. The propeller signatures were calculated directly using Fourier transforms. The results indicate that the noise prediction model constructed based on propeller signatures theory has an error of within 1% for the first three orders of discrete noise and within 8% for the fourth and fifth orders of discrete noise. Compared to traditional identification methods, the prediction accuracy has improved by 30% to 50%.

The cam curve was optimized and the bolt cam part was analyzed. it can be changed some materials and create an opening of the bolt, or the reduction of the height and the increase of length or width can lead to reducing friction. With the increase of the injection rate, the main roller pressure rapidly increased from more than 1000 to 10000N, nearly 10 times. The rate of fire is increased by 3 times and the pressure is close to 10 times.

Big data technology as the foundation of the construction and development of modern society, according to the huge data information and diversified processing technology, technology innovation in each field provides technical support. Whether in the domestic environment or in the international environment, digital transformation has become the preferred strategic decision goal of the industry development, among which the unique advantages of large enterprises are very obvious. By understanding the management principles put forward by enterprise development and integrating big data technology to realize the goal of enterprise digital transformation, it can not only improve the business processing capacity and stabilize the basic assets, but also provide strong support for enterprise strategic planning. Therefore, based on understanding the concept of big data technology and the present situation of enterprise digital transformation, this article, based on the analysis of enterprise digital transformation path based on the big data, deeply studies how Chinese commercial banks apply the theory of big data technology in enterprise digital transformation.

The cam mechanism in the traditional engine distribution mechanism is constrained by the contour curve,which cannot meet the requirements of the engine under full working conditions. The electromagnetic linear actuator, as a new type of electronic cam, has the advantages of simple structure, fast response, good flexibility and good controllability. In this paper, an electromagnetic linear actuator control system based on digital twin-driven is designed, and the trajectory planning and motion trajectory tracking control of electromagnetic linear actuator are realized by using the virtual and real interaction technology of digital twin. At the same time, a virtual simulation and physical platform for the motion control of the electromagnetic linear actuator driven by digital twin is built and the synchronization and tracking effect of the virtual-real system are tested. The test results show that the system has good synchronization and consistency, which provides a reference for the later research and application of digital twin technology in the engine distribution mechanism.

Currently, the knowledge representation learning methods are based on knowledge background information and integrated with the calculation related to correlation strength, type matching degree, and multi-part path. However, besides excellent learning effects, their loss functions are simple so that more complex knowledge graphs cannot be represented well. In order to solve these problems, a more flexible knowledge representation learning model is proposed in the paper and the adaptive measure functions are imported to optimize the loss functions in the knowledge representation learning method. The experiment was performed on several baseline data sets and optimal results are well obtained.

Multi-scale and multi-class target detection in complex scenes has always been a very difficult issue. In this paper, we propose a target detection network based on object detection and multi-scale context. The proposed method overcomes the interference caused by the wide dispersion of scale ranges and effectively counteracts the features extracted for targets of different sizes. It combines 3 scale information with Generalized Intersection over Union (GIoU) and FocalLoss to perform the object detection task more accurately. The experimental results show that the method we proposed can effectively improve the accessibility of detection for abnormal size and orientation targets. It successfully generates a mask that highlights the objects on the input image.

Computer wireless network communication is an indispensable part of modern Internet infrastructure, which can provide stable, efficient and secure data transmission services for different application scenarios and usage habits. Transmission control technology is also crucial. As one of the core technologies of network information transmission, computer communication technology has good anti-interference performance and can play an extremely important role in the transmission and control of various network data. Based on the actual situation, this paper discusses the transmission control, communication network and transmission control technology of computer communication, and puts forward countermeasures.

In the innovation and development of modern science and technology, domestic and foreign scholars in the application of artificial intelligence technology theory, strengthen the research and development of multi-dimensional force sensor equipment, in order to solve the monotonic problem of force measurement component sensitivity. From the perspective of practical application, the manufacturers of force sensors mainly provide static calibration results. Whether the static calibration results are scientific during the dynamic force measurement is the focus of research scholars. This paper takes intelligent robot as an example, on the basis of mastering the application research status of multi-dimensional force sensor in the new era, a dynamic calibration problem of six-dimensional force sensor is proposed, and combined with practical cases for verification and analysis. The final results show that the dynamic calibration system of six-dimension force sensor in this paper has high application accuracy and meets the needs of engineering construction management in the new era.

Aiming at the tooth root wear problem of thin-walled gear ring considering the hardness gradient of carburized layer of thin-walled gear ring, the tooth root wear failure mechanism of thin-walled gear ring is analyzed based on Hertz contact theory, Archard wear theory, etc. Based on the first order second moment reliability analysis method, the tooth root wear reliability analysis model of thin-walled gear ring is established, which is compared with the wear reliability without considering the hardness gradient of carburized layer. The results show that the actual wear reliability with carburized layer hardness gradient is lower than that without carburized layer hardness gradient.

In the rapid development of social economy, the technical theory of our country has become more and more rich, and the competition between various industries will become more and more intense. In order to achieve development advantages in such a fierce competitive environment, enterprises should make innovations in production technology, form unique development advantages, and effectively improve economic benefits. On the basis of understanding the development status of enterprise machinery and mechanical automation technology, according to the structure of mechanical control system, this paper mainly analyzes the common automation technology content in the current market, and takes the automotive field as an example for empirical study. The final result shows that automation technology in mechanical control system has unique advantages.

In order to solve the path planning problem of USV(unmanned surface vehicle), a global path planning method integrating global path and local path is proposed in this paper. First, the global path planning of grid electronic chart is carried out using two different reward modes of PPO(Proximal Policy Optimization Algorithms) algorithm, and the global optimal path is selected after comparison. Secondly, The inflection point on the global optimal path is selected as the key point of the DWA(dynamic window algorithm) to optimize the local path. The simulation results show that the method can take into account the requirements of high smoothness and short navigation distance, and plan a safe and reasonable route in the static environment.

This study investigates the effects of thermal-oxidative aging on the mechanical properties of three-dimensional woven carbon fiber composite materials with pre-existing damage. The aging mechanisms and changes in mechanical properties were analyzed under aging conditions of 70℃, 120℃, and 180℃. The materials were subjected to thermal-oxidative aging tests, and the following analyses were conducted: mass loss rate, SEM microstructure observation, Fourier-transform infrared spectroscopy (FT-IR), dynamic mechanical analysis (DMA), as well as open-hole tensile strength tests. The results indicate that the extent of mass loss and interface debonding increases with higher thermal-oxidative aging temperatures. Higher temperatures also lead to chemical reactions within the resin matrix. Moreover, the open-hole tensile strengths decrease with increasing aging temperature.

In this paper, based on the background of public health emergencies and focusing on the enabling and embedding trend of computer technology under the trend of normalization, the paper analyzes the previous models applicable to the location of emergency hospitals, and illustrates the limitations of the previous models through the applicability and complexity analysis. On this basis, combined with computer site selection technology, considering the quasi-public goods and risk effects of medical services provided by hospitals, a site selection model of emergency hospitals based on SCP was proposed. It is found that computer technology has strengthened the factor analysis ability of public hospital location structurally, and profoundly affected the diagnosis and treatment behavior and service behavior of public hospitals. Meanwhile, computer technology has also greatly affected the performance appraisal of public hospitals.

To study the effect of different milling parameters on residual surface stresses during the milling process of 7075 aluminum alloy, a 2D cutting simulation model was established to simulate the component milling process. Orthogonal experiment was used to investigate the effects of various cutting parameters on residual surface stresses during the milling process, and an empirical formula for predicting residual stresses was obtained. A mathematical model for parameter optimization was established using optimization theory, and genetic algorithms were used to solve the optimization problem. The results showed that spindle speed, feed rate per tooth, milling depth, and milling width each had an impact on milling forces and heat generation, thus affecting residual surface tensile stresses and residual surface compressive stresses. The empirical formula established could predict residual surface stresses well, and the optimized milling parameters obtained through genetic algorithms could improve processing efficiency while reducing residual surface stresses, providing guidance for practical production processing.

Current on-site management of hazardous chemicals at ports is not intelligent and digitalized enough, especially in daily inspection, gas detection and alarm, management of interested parties and emergency management. To deal with this problem, an explosion-proof mobile terminal based on some advanced technology including 5G, the Beidou system, face recognition algorithms, etc. is introduced in this paper. Considering the relevant laws and norms, this paper makes some suggestions for safety management of port operations relevant to hazardous chemicals and aims to make it more efficient, more digitalized and more intelligent.

The redistribution of residual stress caused by material removal and the bending deformation during the processing of 7075 aluminium alloy sheet were studied in this paper. A continuous model for the redistribution law of residual stress in the plate during cutting is proposed and the influence of material removal rate on deflection and overall bending deformation of the plate is studied by theoretical analysis method. ABAQUS software is used to simulate the redistribution of initial residual stress and the overall bending deformation caused by material removal. The results of simulation and example are within the error range, which proves the reliability of the theory. The results show that there is a certain stripping depth in the stripping process, which can minimize the bending deformation in subsequent inventory. This conclusion has a certain guiding effect on controlling the residual stress of plate in actual production and the bending deformation in inventory process.

Lightning is a kind of natural disaster that seriously threaten the safe and stable operation of power grids. This paper proposes a new kind of composite insulator combining the function of both arrester and insulation , which can meet the needs of lightning prevention of 35kV transmission lines. In this paper, 5-year lightning statistical data in Longhui, Hunan Province have been investigated. Then, the lightning trip rate of 35kV distribution network were analyzed by simulation, the influence of grounding resistance on the lightning trip rate of was discussed, and the lightning protection effect of the proposed composite insulator was evaluated.

Based on the rotor rotation speed of the in wheel motor, an anti-lock braking system (ABS) control strategy with slip ratio self-adaptive characteristics is constructed for unknown and complex road surface adhesion conditions, which is capable of adaptively tracking the optimal slip ratio without predicting the road surface adhesion conditions and has strong adaptability to complex and variable road surface conditions. The simulation results verify the adaptability of the vehicle under switching adhesion conditions between dry asphalt and snowy road surfaces.

Thanks to the development of 5G technology, the construction of edge data centers has been highly valued. In order to ensure the security of signal transmission in edge data centers, it is a promising measure to apply the quantum key distribution (QKD) technology to edge data centers. To solve the problem of noise interference in the process of applying QKD technology, this paper first proposes the edge-end quantum one-way edge data center architecture, that is, the edge data center that first distributes the data to the surrounding clusters, and then transmits the single data from the edge to the end. Directed quantum signals increase the safe communication distance to meet the requirements of information encryption. Secondly, we conduct research on the four-wave mixing (FWM)noise interference in the architecture and the secure key rate model of the QKD system and perform theoretical calculations of the noise power and the rate of the secure key. Finally, through simulation, we can evaluate that QKD has the characteristic of high degree of security and its performance is affected by channel location, classical signal power and QKD detection efficiency, etc. The FWM noise power increases first and then decreases with the increase of transmission distance, with the maximum distance of 15 km. When the distance between the classical channel and the quantum channel is more than 200 GHz, the effect of FWM noise on QKD is weak.

The design of vibration damping controllers for uncertain mechanical systems with time-varying input delays is the main topic of this work. First, a state-space model based on matrix transformations is used to characterise the mechanical system. The uncertain system model is then created by adding parameters with linear variation. Second, by employing LMI technology, it is possible to derive LMI-based necessary requirements for system stability. A controller that is stable for the closed-loop system and has the desired amount of disturbance attenuation is realised by solving the obtained LMI. Finally, numerical examples are provided to show how well the suggested theorems work.

In view of the characteristics of non-stationary signals in bearings under abnormal conditions, a new diagnosis method for bearing fault detection was proposed based on TVF-EMD, kurtosis selection and envelope entropy as energy extraction method and random forest classification model. First, TVF-EMD method is used to decompose the initial signal, and the decomposed intrinsic modal components (IMFS) are obtained. Secondly, several natural modal components which can best represent the original signal are selected by the kurtosis values of the natural modal components. Secondly, the envelope entropy is used as the energy extraction method. Finally, the stochastic forest classification model is used to train and predict the original data. After comparing the test data with the original data, the accuracy rate reached 99.5 percent.

A large number of elevator safety accidents occur at the landing door. The bottom guide of landing door has the function of fixing the landing door and guiding. The previous measurement of the engagement depth of the bottom guide of landing door has drawbacks and the measurement accuracy is low. The insufficient engagement depth of the bottom guide of landing door will affect the strength of the landing door.In order to improve the measurement accuracy of the engagement depth of the bottom guide of landing door, this paper proposes a device for measuring the engagement depth of the bottom guide of landing door, analyzes its structure and working principle, and measures the engagement depth of the bottom guide of landing door through direct measurement and indirect measurement.Through the measurement and numerical analysis of the engagement depth of the bottom guide of landing door by the steel tape, inclined feeler gauge and the device for measuring the engagement depth of bottom guide of landing door, it is concluded that the measurement accuracy of the device for measuring the engagement depth of bottom guide of landing door can be improved compared with the steel tape and inclined feeler gauge.

Pile foundation is the most widely used type of foundation foundation in our country, and there are many forms of pile. Compared with other pile types, thread pile has high bearing capacity, strong adaptability, a wide range of application, environmental protection and remarkable economic benefits, so it has been widely used in our country. This paper studies the vertical bearing capacity of spiral anchor pile in silty soil by ABAQUS numerical simulation. The distribution of pile axial force, pile side resistance, pile soil interface stress and soil shear stress around the pile are analyzed. The influence of pile structural parameters is discussed, and the properties of grouting and ungrouting screw anchors in silty soil are studied. The results show that the pile side resistance is larger, the number of anchor disks is 4, and the bearing effect of anchor rod φ140mm is better, which significantly improves the ultimate bearing capacity of single pile.

In recent years, the tension stringing construction is used in UHV transmission lines. However, in the process of tension stringing construction, the flexibility of the cable will cause vibration. The large vibration can lead to system instability, which will affect the construction progress. So in order to reduce vibration of system, dynamic characteristics of system is needed to be studied. In this paper, the ground wires stringing process of the first and last electric towers, near Hanjiadian Xiang, in 3rd bidding segment of Ximeng-Shandong 1000kV UHV project is taken as the research object, and the dynamic characteristics of the system under constant and varying stringing velocity is studied using ADAMS software. Through analysis, it can be concluded that the stringing velocity and tension should be monitored in the construction process, and the vibration should be controlled, which can ensure that the construction process is smooth.

At present, deep learning has achieved excellent performance in the field of network traffic classification. However, deep learning relies on massive data-driven classification models. When the data set is small, it is usually hindered. In order to solve this problem, few-shot network traffic classification technology based on deep learning has been gradually studied. In this paper, we conducted a comprehensive survey to fully understand the few-shot traffic classification techniques. We first define the few-shot traffic classification problem. Based on how to solve the contradiction between the few-shot data set and the large number of parameters to be trained in the model, we classify the current few-shot traffic classification method based on deep learning from two perspectives: (1) Data augmentation method, which uses the method of expanding the data set to enhance the supervision experience. In this paper, the methods based on data enhancement are divided into two categories based on GAN and feature transformation.(2) Model-based methods. Model-based methods are divided into three categories: transfer learning, metric learning and meta-learning. And discuss the advantages and disadvantages of each classification method. Finally, the results are summarized and the future development direction of few-shot network traffic classification technology based on deep learning is prospected.

The protection and rescue system plays a crucial role in ensuring flight safety and enhancing operational efficiency. To address the issue of control function verification for the protection and rescue system, a semi-physical simulation platform for the system has been developed. This platform includes the aircraft body, cabin status, pilot physiological digital model, sensing unit, and protective rescue equipment, forming a complete protection and rescue information system. An integrated control algorithm model for the protection and rescue system has been developed, and with the help of the testing environment and the upper computer management software, the protection and rescue control function can be comprehensively verified. This semi-physical simulation platform can advance the verification of protection and rescue control functions to the early design stage, reduce verification costs, and improve verification coverage.

Parallel computing plays an increasingly important role in the field of numerical computing, with technological developments permitting an ever-increasing range of potential applications. However, the design of parallel numerical programs is far more difficult than serial programs, especially in the face of complex application problems, the development and performance optimization of massive parallel numerical programs are very challenging. High-performance numerical software often requires a comprehensive and long exploration process from design to implementation. With the help of existing parallel algorithm packages, this paper develops efficient finite element parallel programs without accounting for complex data distribution and communication. In doing so, this method greatly reduces the difficulty and cost of finite element parallel computing and shortens the development cycle. This paper makes a series of optimizations for algorithms and computational processes to improve their stability, computational efficiency, and parallel scalability. Subsequently, the algorithm is made suitable for solving the eigenvalues of a large-scale sparse matrix in a parallel computing environment. The software package formed in this paper depends neither on the specific structure of the matrix nor on the vector, meaning it can be applied to arbitrary matrix-vector structures. The test results for several typical matrices show that the algorithm and software package have not only good numerical stability and scalability, but also a greater improvement in efficiency when compared with other parallel solvers.

In order to solve the problem of deviation between the calculated value of the design parameters and the actual situation in the finite element calculation of the hybrid girder cable-stayed bridge using the asymmetrical double cantilever construction method, a BP neural network parameter identification method based on sparrow search algorithm optimization is proposed. A hybrid girder cable-stayed bridge using this construction method is taken as the research object. According to the characteristics of this method, the main parameters to be identified are determined through parameter analysis, namely-the weight of main girder of side span and middle span, the final tension force of side span and middle span, and the elastic modulus of stay cable. Based on the uniform design method, 126 training samples were obtained, and the BP neural network model was established, which was optimized by sparrow search algorithm. The trained neural network model is used to predict the parameters to be recognized. The results show that the self-weight of the main beam of the side span and the middle span should be modified by 2.02% and 4.40% respectively. The cable force of side span and middle span should be revised by 4.93% and 3.48% respectively. The elastic modulus of stay cable shall be revised by 2.46%. The corrected results are substituted into the finite element model, and the corrected theoretical values are closer to the measured values. The side span elevation error is within 2.0cm. The mid-span elevation error is within 2.5cm. The tower deviation error is 0.9cm.

The intercity railway(IR) project has the characteristics of high project investment, long construction period, high construction requirements, and great construction difficulty, and there is a lot of uncertainty in the construction process. The two-dimensional drawings based on CAD can not fully and clearly express the on-site construction content, so it is necessary to timely adjust the construction plan according to the actual site conditions, resulting in inaccurate calculation of quantities. This paper proposes to use BIM technology to research and analyze the engineering quantity calculation in the design stage, briefly analyzes the application of BIM in the engineering cost software and the overall structure of the bill of quantities pricing system, discusses the design of the reinforcement quantity calculation system based on Revit, and finally, combined with the IR project under construction, through the practical application of BIM technology in the engineering quantity calculation in the design stage of the IR project, the data analysis proves that, The project quantity calculation system based on BIM can effectively realize the project cost control.

With the gradual maturity of aviation technology, the number of civil aircraft development projects has increased. In order to carry out the development projects with high quality and efficiency, it is necessary to apply the risk management mechanism to the civil aircraft development projects. Based on this, this paper summarizes the specific application of risk management in the development of civil aircraft development projects. During the development of civil aircraft development projects, it is extremely vulnerable to environmental factors and control factors, resulting in an increase in engineering uncertainties, project delays and abnormal increase in costs and other problems. Applying risk management methods to civil aircraft development projects can not only find out the risk problems existing during the development of civil aircraft development projects in time, but also continuously improve and optimize the management mechanism of civil aircraft development projects based on these risk problems to ensure that the development level of civil aircraft development projects can better meet the development needs of China's aviation industry. Firstly, this paper applies the project risk management technology method to count the risk cases of aircraft development projects, analyze the risk factors of aircraft development projects, and combine the system engineering idea to build the risk evaluation index table of aircraft development projects for the first time, and comprehensively apply the WBS and FMEA of aircraft development projects analysis and network planning technology and other technical methods are used to carry out the schedule risk analysis of the aircraft development project scheme confirmation stage, and obtain the risk ranking in line with the actual situation. This risk analysis method can also be applied to the risk analysis of cost and performance quality. Based on the analysis of the risk cases of the aircraft development project, the risk control process of the aircraft development project is designed and the risk warning signal is set in it, which not only allows the project managers and decision makers to fully grasp the project risk situation, but also facilitates the project management organization to control or avoid the project risk in a timely manner.

The test results of shear wave velocity can be applied to many aspects, such as the dynamic parameters of soil in seismic design, the possibility of liquefaction of sandy soil foundation, and the possibility of seismic subsidence of loess foundation; However, due to the influence of soil structure, genesis and other factors, as well as the artificial error in the process of wave velocity test, the shear wave velocity values of the same stratum or the same site also vary greatly. Based on the existing wave velocity data, with the help of statistical analysis tools and taking into account the actual engineering conditions in the project area, the mathematical expression of shear wave velocity can more accurately reflect the actual situation of the soil layer at the construction site. Therefore, whether from the practical work value or theoretical research, it is a very meaningful work to study the statistical law of shear wave velocity. Based on the shear wave velocity data of 170 boreholes (150 shallow holes and 20 deep holes) of multiple construction projects in the urban area of Beijing and the geotechnical test parameters, this paper studies the relationship between shear wave velocity and buried depth, density and other factors using the grey correlation theory, and establishes the empirical formula of shear wave velocity applicable to the urban area of Beijing using statistical tools.

Using the frequency domain analysis method, the thermocouple time constant in the dynamic measurement of laser power is analyzed, and the pole of the thermocouple is compensated by the frequency domain analysis method, thus expanding the frequency domain range of the measurement system. On this basis, by measuring the response curve of the power detector, its time constant is determined, and its transfer function is obtained by designing a predictive circuit. The designed prediction circuit is simulated, and the optimal design parameters are obtained, which doubles the frequency response and reduces the response time constant to the step function from T to T/2. Through the test of the actual circuit, the results are basically consistent with the theoretical calculation results, which can meet the rapid detection needs of high-power detectors.

Metallic materials are widely used in various Industrial scenarios but they often suffer from different issues such as icing, corrosion, and damage, which negatively impact the safety and performance of equipment. Superhydrophobic materials, characterized by an apparent contact angle greater than 150° have been extensively studied as potential solutions to these problems. This paper introduces the basic theory of surface wettability, discusses applications of metallic surfaces and two main strategies for obtaining superhydrophobic surfaces. Inspired by the structure of dragonfly wings, we present an experimental method using a Ti:sapphire ultrafast laser system to fabricated superhydrophobic surfaces on TC4 titanium alloy samples. Scanning electron microscopy (SEM) and energy dispersive spectrometer (EDS) analysis reveal the ultrafast laser pulse can induce micro-scale groove structures and nano-scale laser induced periodic surface structures (LIPSS) on the morphology of titanium and will cause a significant change in the surface chemistry. The resulting superhydrophobic behavior can be attributed to a combination of surface roughness and low surface energy, which has potential applications in fields such as self-cleaning surfaces, microfluidics, and anti-corrosion coatings

Blockchain uses encryption algorithms, consensus mechanisms and complex mathematical methods to achieve open and transparent data transmission, traceability of information content and tamper resistance, and can provide participants with good internal conditions and external environment, thereby promoting the establishment of credit. The basis of the blockchain lies in the consensus mechanism. The blockchain is a decentralized information storage technology, on which all nodes (participants) can communicate with each other to achieve and agree to the purpose of data sharing, that is, all nodes on the chain can share the ledger in the blockchain network., so all data on the chain is open and credible. This paper takes the consensus mechanism of the blockchain as the main research content, uses the literature research method and the experience summary method to analyze and study the consensus mechanism algorithm, and explores its application in the blockchain, and analyzes the performance of the DPoS consensus mechanism. Finally, an improved blockchain consensus algorithm is proposed to achieve the purpose of optimizing the blockchain consensus mechanism.

Detection accuracy of bearing faults is crucial in saving economic loss for industrial applications. Various diagnostic methods proposed by researchers can produce highly accurate bearing fault diagnosis, but it is difficult to obtain accurate and effective diagnosis results under variable working conditions and noise conditions. Thus, A hybrid model M-SWCAL based on multi-scale convolutional neural network (CNN), artificial neural network (ANN) and long short-term memory (LSTM) neural network is proposed for fault diagnosis of rolling bearings. The model uses multiscale CNN to extract the frequency domain information of the vibration signal at different resolutions, and the multiscale structure can effectively enrich the number of feature information. After that, the features of different channels are fused into one long sequence by using splicing fusion. Then ANN is used to filter and sort out the noise and redundant information in the features, and finally LSTM is used to further learn the sequence characteristics in the new sequence. Experiments show that the model can generally achieve more than 99% diagnostic accuracy for different data sets, and the generalization performance and noise immunity of the model are completely better than other existing methods.

In recent years, new offshore platforms have been widely used, but safety issues have become increasingly prominent. A 1:30 experimental platform model was developed using physical model testing methods to optimize the anchoring scheme of the "National Sea Trial 1" platform at the National Marine Testing Ground. A study on the motion response of the model under two-point lying chain mooring state has been conducted with the combined function of over a hundred sets of irregular waves, fixed length winds, and equivalent uniform currents with different wave heights, wave periods, and wave directions at the Marine Dynamic Environment Laboratory of the National Ocean Technology Center. By analyzing the test results and corresponding design indicators of the test platform, it is shown that when the effective wave height is 1.5 m, the period is 5.35 s, the wind speed is 8 m/s, the flow rate is 1.14 m/s, the maximum roll angle of the platform is 10.41°, and the "National Sea Trial 1" platform crane cannot carry out normal lifting work; When the effective wave height is 5.1 m, the period is 6.95, the wind speed is 13 m/s, and the flow rate is 1.14 m/s, the maximum roll angle of the platform is 15.07°, and the test equipment carried on the platform cannot work properly; When the effective wave height is 9.23 m, the period is 10.22 s, the wind speed is 17 m/s, and the flow velocity is 1.14 m/s, the maximum roll angle of the platform is 20.21°. There is a safety hazard on the platform, and safety measures should be taken. The research results have verified the indexes of the improved National Marine Comprehensive Test Site "National Sea Trial 1" platform. Therefore, it is recommended to stop the testing operation of the "National Sea Trial 1" platform under level six sea conditions, and necessary risk avoidance measures should be taken under level eight sea conditions. This study provides a reference for the hydrodynamic research of similar new offshore platforms.

It is necessary to establish three-dimensional digital twin model for the ultra-high voltage power transformers and bushings, and simulate and track the changes and trends of the physical parameters through digital twin model. Under high temperature conditions, tangent value of the loss angle and the real part value of dielectric constant of bushing core material of the converter transformer will suddenly increase, and the tangent value of the loss angle will remain between 0.004 and 0.022, while the real part value of dielectric constant will remain between 3.9 and 4.5. It can be seen that the amplitude of the fundamental wave is about 6000A, while amplitude of other harmonics shows a decreasing trend as the number of harmonics increases. Amplitude of the 50Hz fundamental current varies between -6000A and 6000A, and the eddy current heating power of the current carrying structure varies between 15W and 45W. However, during the first 1/4 cycle, the eddy current heating power of the current carrying structure gradually increases from 0W to around the peak of 45W.

Ultra high voltage power bushings are widely used in power systems. In the operation and maintenance process of the ultra high voltage power bushings, testing and analysis are generally based on the equipment itself. If data is obtained from the equipment itself, there will be incomplete data transmission, and the obtained data is generally voltage, current, temperature and other sensing data that are easily obtained from outside power equipment. But for the internal data of power equipment, including online data information such as flow velocity field and pressure field. Therefore, this article attempts to establish the three-dimensional visual simulation model for the digital twin of ultra-high voltage power casing equipment, and further sets key tracking nodes on the three-dimensional configuration model to quantitatively track its multi-dimensional physical quantity change curves and trends. First of all, 3D modeling of large terrain of electric equipment is carried out. Virtual texture technology is used to block and fuse large area and multi resolution texture data. Different detail Hierarchical database model are used to block large area terrain, including texture image selection, ground surface background map selection, texture coverage and grid division. After determining the morphology of the terrain, digital twin 3D modeling analysis was immediately conducted on the power equipment. In the 3D digital twin modeling, the converter transformer body and converter transformer bushing are taken as examples for analysis and explanation. The detailed structure of bushing equipment is considered in the twin model. At the same time, the electrical, thermal and mechanical Multi-physics simulation of converter transformer bushing are coupled and analyzed. Multi-physics simulation simulation results are associated with the key nodes in the 3D digital twin model to realize interaction of physical quantity information between the simulation model and the twin model. The research results of this paper have a good guiding role for the digital operation and maintenance of power equipment, and creatively integrate visual image processing and digital twin Technological convergence to interact, forming a visual simulation research method

With the development of Digital Twin technology, more and more network devices have begun to be applied to Digital Twin networks, and the status information generated by network devices during operation has gradually entered the Digital Twin Network. However, due to the large number of network devices and the complex environment, the data transmission and processing process between different devices cannot be completed at the same time, which leads to many inconsistencies in the key technical status of the Digital Twin Network, such as delay, packet loss, jitter, errors, etc. This data can cause the operating state of the Digital Twin Network to drift, which in turn affects the stability of the entire Digital Twin Network. Therefore, it is necessary to study the key technologies of rapid synchronization and also the key technologies of Digital Twin Network to ensure the accuracy and real-time synchronization of state synchronization during the operation of Digital Twin Network, so as to ensure its normal operation.

In areas with thick overburden, "large excavation", "excavation and expansion", "explosion and expansion pile" and other foundation types are mainly used for transmission line foundation. However, the three foundations have their specific defects. Aiming at the defects of these foundations, a new type of transmission tower foundation can be proposed, which has the advantages of clear load transfer process, simple structure, convenient assembly, low cost, high safety and reliability, strong resistance to dynamic load, and small damage to the environment.

With growing cultural self-confidence in China, horse culture is increasingly popular among the young. In the era of artificial intelligence, horse culture should use artificial intelligence to output diverse content that you ng people love, so that more young people can understand and love horse culture, use all available resources to increase the cultivation of young people's cultural self-confidence, and constantly adjust and improve the cultivation program according to the development and changes of The Times and young people themselves, so as to strengthen the foundation for the realization of the dream of cultural power . This not only contributes to the dissemination and activation of contemporary urban horse culture, but also contributes to the inheritance and innovation of Chinese traditional culture. Based on the above reasons, it is of importance that in this paper, information resources construction of horse culture is explored under the background of artificial intelligence.

In recent years, with the increasing demand for electric vehicles in the Chinese market, there are more and more projects to build electric vehicle charging facilities. In order to ensure that the work of car charging facilities has been maintained relatively reliable and safe, in accordance with the relevant technical specifications, after several years of unremitting efforts of professionals, the compatibility and interoperability methods of components and equipment of research and development of car charging facilities have been formed. This proves that a faster charging device can be put into social use at a high level of reliability and safety. The communication Conformance testing scheme was identified through an analysis of the DC charging communication consistency of the EV charging equipment. The experimental data show that the leakage current limit is set at 30mA and the maximum error is 1.1 Ma. The experimental results show that the controller on the cable can provide protection in case of cable leakage, and the measurement error is less than ± 5mA.

With the increase in the quantity of electric vehicles in our country, fast charging is a problem that continues to be solved. In order to improve the test cove rage and accuracy of ChaoJi charging devices, this paper plans to stud y the testing methods of standard group components of electric vehicle charging device s, establish a standardized testing process, create a complete test case library, and finally form a set of standard testing methods for communication between ChaoJi charging devices and electricvehicles to speed up the testing progress. And improve the test accuracy and cove rage rate. Effectively improve the standardization of ChaoJi charging equipment infrastructure and promote the healthy development of new energy automobile industry.

The rapid development of information technology not only requires a change in the traditional development model of rural tourism, but also requires the use of various information technologies to promote the development of rural tourism. At present, building a rural tourism model with Internet plus as the core has become an inevitable trend. This paper first describes the development status of the Internet plus tourism model, then analyzes the development factors of rural tourism under the Internet plus model, and finally puts forward various measures to promote the development of rural tourism.

Hydrogels are reticular polymer compounds containing a large number of hydrophilic groups. Under the stimulation of external physical and chemical factors, such as temperature, pH, light, electricity, magnetism, sound, force and chemical solution, reversible changes in volume and shape can occur under artificial control. Compared with other types of hydrogels, electrosensitive hydrogels are mostly composed of polyelectrolyte polymers, which can deform under the action of DC electric field. Realizing the conversion of electrical energy to mechanical energy, it can be applied as an energy conversion device in fields such as robots, sensors, controllable drug release, and artificial muscles. In this paper, based on the chemical mechanical electrical continuum model of electrosensitive cantilever hydrogel proposed by Abdolhamid[1], the evolution process of bending behavior of electrosensitive hydrogel under external electric field stimulation is studied. The bending deformation of electrosensitive hydrogels with different electric stimulation, concentration of the mobile ions in solution and bound anions concentration of gel was studied. The results show that the size of the potential, the concentration of mobile ions in the solution and the concentration of bound anions in the gel will have a greater impact on the bending deformation of the electrosensitive hydrogel. The conclusions obtained have certain guiding significance for the design and manufacture of the electrosensitive hydrogel.

COMSOL is used to establish a flow field pipeline model, design and optimize flow detection, and analyze and study acoustic intensity, pressure signal and other parameters. According to the circular pipe test system used in the experiment, the flow velocity analysis model of the steady and constant flow field in the circular pipe was theoretically constructed using the finite element method. The numerical analysis results show that the flow rate in the pipeline obtained in the experiment is the average flow rate of the fluid at the section of the test location, and the test value is 0.63% different from the theoretical value.

A necessary condition for a pair of plane stochastic tensors (C₁ C₂, ) to have a common C-eigenpair as their piezoelectric tensor is given. If the fourth-order tensor which is determined by (C₁ C₂, ) has a Z-eigenpair, the Z-eigenpair is dependent on the common C-eigenpair, then (C₁ C₂,) has a common C-eigenpair.

The factors of electricity consumption growth in China are increasing, such as "double carbon" constraint, new urbanization, rural revitalization, electrification, digitalization, new power system, power market, etc., which lead to a more complex influence mechanism of electricity consumption growth. This paper adopts a combination of quantitative and qualitative methods to build a spatial and temporal evolution system of power consumption influencing factors, and draws the following conclusions: economic and social factors are the basic support for power consumption growth, and the pulling effect of new technologies and new business models on power consumption growth is gradually increasing; there are some differences in power consumption influencing mechanisms among regions, and the influence of energy and electricity, climate and temperature factors on power consumption in east and central regions is increasing, while the influence of export factors on western and northeastern regions is increasing. Export factors on the western and northeastern regions to enhance the impact.

Marine ranching is one of the main ways of resource management fisheries, which can promote the stable development of fisheries and effectively maintain the marine ecological environment. In order to grasp the water quality status of marine ranches in real time, this paper carries out the dynamic monitoring of water quality of marine ranches based on water quality sensors and Internet of Things. First of all, we selected the key water quality parameters such as temperature, turbidity, and PH that needed to be detected, and then completed the design of the monitoring point including sensor data acquisition module, data processing module, and wireless communication module. Secondly, we perform color correction and image enhancement on the collected underwater images, classify and recognize biological objects through support vector machines. Through simulation tests and comparisons, it is verified that the scheme has the advantages of good real-time and high accuracy in the dynamic monitoring of marine aquaculture environmental parameters.

Ecological civilization is characterized by harmonious coexistence between man and nature, and peaceful coexistence between society and ecology. In the current social and economic process, there are problems such as environmental management problems, imperfect environmental management mechanisms such as economic activities and production and sales, and ineffective implementation of pollution control. Based on this, in this paper, we combine deep learning technology to innovate the classification and scientific treatment mechanism of specific pollutants. In addition, this paper focuses on evaluating the strengths and feasibility of enterprises by introducing SWOT research methods. Simulation tests show that the introduction of deep learning and big data into the field of informatization and intelligence to establish an environmental monitoring system can effectively improve the emergency environmental accident management system, public environmental safety and emergency management level.

The promotion and utilization of modern technology has made intercultural exchanges more frequent and deep, and secure image encryption and processing are hot issues for multicultural IOT communication platforms in the context of globalization for smart cities. In this paper, the re-al-time image encryption test and resource scheduling optimization analysis of multicultural communication platform are carried out based on convolutional neural network. First, we encrypt the image based on the layered image encryption technology of the chaotic system and the Feistel network. Secondly, through different strength encryption algorithms and different convolutional network structures, the encrypted images are classified and analyzed, and the encryption effect of the images is tested by the classification accuracy. In addition, we construct a task-resource scheduling model and design scheduling optimization schemes for the model from the aspects of data flow and control flow, so as to realize the mapping of network model to the IOT cloud plat-form and the reasonable scheduling of task resources on the software and hardware side.