Dr. Xiaoli Zhang Profile

Dr. Xiaoli Zhang

at Xinyang Normal Univ

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Publications (4)

Proceedings Article | 12 April 2023 Paper

Research on intelligent fire image detection based on FPGA

Bingrui Guo, Bianlian Zhang, Xiaoli Zhang, Senlin Yang

Proceedings Volume 12565, 125651X (2023) https://doi.org/10.1117/12.2662538

KEYWORDS: Convolution, Neural networks, Fire, Forest fires, Field programmable gate arrays, Image processing, Education and training, Convolutional neural networks, Clocks, Power consumption

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Proceedings Article | 15 February 2022 Paper

Confidence probability cooperation for multi-agent fiber Bragg grating intelligent health monitoring self-healing system

Xiaoli Zhang, Senlin Yang, Bianlian Zhang, Shaofei Dong

Proceedings Volume 12166, 121665S (2022) https://doi.org/10.1117/12.2617686

KEYWORDS: Fiber Bragg gratings, Optical sensing, Optical fibers, Intelligence systems, Sensors, Sensing systems, Telecommunications, Mechanical sensors, Data modeling, Intelligent sensors

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Fiber Bragg Grating (FBG) sensor has attracted considerable attention for intelligent health monitoring system, owing to advantages including resistance to electromagnetic interference, durability under extreme temperature and pressures, light weight, high transmission rate, small size and flexibility. However, the intelligent health monitoring system based on FBG sensor may carry the risk of transmission or sensing optical fiber fracture in the engineering application, the safety and reliability of intelligent health monitoring system will be reduced. For improving the security and reliability, the self-healing implementation of the intelligent health monitoring 25system based on confidence probability cooperation technology is investigated. The self-healing model of multi-agent FBG intelligent health monitoring system based on confidence probability is constructed firstly. Secondly, the optical fiber sensing function agent and system cooperative decision making agent with self-learning ability is defined. The progress of cooperative means between agents based on confidence probability is studied. Thirdly, for the non-participants of the fiber sensing function because of the low confidence probability, dynamic model modification method is studied, and the evaluation results of optical sensing function are modified dynamically. Correspondingly, the system cooperative decision making model is modified on account of its confidence probability. Thus the self-healing ability of the multi-agent FBG intelligent health monitoring system is implemented. Finally, taking the plane wing box test panel as subject, the multi-agent FBG intelligent health monitoring system based on confidence probability is verified and analyzed by experiment and simulation. The results indicate that the multi-agent technology based on confidence probability cooperation not only improves the self-learning ability, but also improves the monitoring accuracy of the FBG intelligent health monitoring system.

Proceedings Article | 31 January 2020 Paper

Participant selection strategy for collaboration in multi-agent intelligent health monitoring systems

Xiaoli Zhang, Senlin Yang, Bianlian Zhang, Hao Li

Proceedings Volume 11427, 114271B (2020) https://doi.org/10.1117/12.2551431

KEYWORDS: Intelligence systems, Strategic intelligence, Fiber Bragg gratings, Structural health monitoring, Sensors, Sensing systems, Systems modeling, Data modeling, Position sensing equipment, Radon

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Proceedings Article | 10 January 2018 Paper

An intelligent system for simultaneous measurement of oil temperature and level in transformer conservator using fiber grating sensor

Yingmeng Zhou, Xiaoli Zhang, Shuaibin Lian, Ying Jiang

Proceedings Volume 10618, 106180W (2018) https://doi.org/10.1117/12.2296401

KEYWORDS: Transformers, Sensors, Fiber optics sensors, Temperature metrology, Intelligence systems, Intelligent sensor systems, Intelligent sensors, Liquids, Electromagnetic interference, Environmental monitoring

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