Intelligent community management system based on the devicenet fieldbus

Yulan Wang; Jianxiong Wang; Jiwen Liu

doi:10.1117/12.2021222

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13 March 2013 Intelligent community management system based on the devicenet fieldbus

Yulan Wang, Jianxiong Wang, Jiwen Liu

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Proceedings Volume 8784, Fifth International Conference on Machine Vision (ICMV 2012): Algorithms, Pattern Recognition, and Basic Technologies; 87842I (2013) https://doi.org/10.1117/12.2021222
Event: Fifth International Conference on Machine Vision (ICMV 12), 2012, Wuhan, China

Abstract

With the rapid development of the national economy and the improvement of people's living standards, people are making higher demands on the living environment. And the estate management content, management efficiency and service quality have been higher required. This paper in-depth analyzes about the intelligent community of the structure and composition. According to the users' requirements and related specifications, it achieves the district management systems, which includes Basic Information Management: the management level of housing, household information management, administrator-level management, password management, etc. Service Management: standard property costs, property charges collecting, the history of arrears and other property expenses. Security Management: household gas, water, electricity and security and other security management, security management district and other public places. Systems Management: backup database, restore database, log management. This article also carries out on the Intelligent Community System analysis, proposes an architecture which is based on B / S technology system. And it has achieved a global network device management with friendly, easy to use, unified human - machine interface.

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Yulan Wang, Jianxiong Wang, and Jiwen Liu "Intelligent community management system based on the devicenet fieldbus", Proc. SPIE 8784, Fifth International Conference on Machine Vision (ICMV 2012): Algorithms, Pattern Recognition, and Basic Technologies, 87842I (13 March 2013); https://doi.org/10.1117/12.2021222

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