Journal of Jilin University (Information Science Edition) ›› 2025, Vol. 43 ›› Issue (3): 689-694.
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YAO Kai, WANG Xingbo, HUANG Jian, YANG Jiahao, LIU Yunfei, SUN Tiegang
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Abstract: In order to solve the problems of low efficiency of manual laboratory management, slow transmission speed of monitoring data and insufficient level of informatized management, an intelligent laboratory management and control system based on all optical access network is designed and implemented. It consists of laboratory front-end monitoring module, all optical access network data transmission module and laboratory management and control center module. The ESP 8266 microcontroller is used as main control chip in the laboratory front-end monitoring module. The acquisition unit of laboratory operation status data is designed. It consists of fingerprint recognition module, temperature and humidity sensor, smoke sensor and network camera. Real-time data acquisition of personnel management and control, video surveillance and environmental monitoring is thus realized. Optical network units, optical fiber distribution network and optical line terminal are utilized to construct all optical access network data transmission module, realizing remote high-speed transmission of each laboratory monitoring data. The web page of laboratory management and control platform is developed, real-time operation status data of each laboratory is displayed in terminal management and control server. The joint debugging result shows that real-time personnel management and control, video surveillance and environmental monitoring are realized, and the laboratory management and control system provides reliable stability in a long time.
Key words: laboratory management and control, all optical access network, personnel management and control, video surveillance, environmental monitoring
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YAO Kai, WANG Xingbo, HUANG Jian, YANG Jiahao, LIU Yunfei, SUN Tiegang. Intelligent Laboratory Management and Control System Based on All Optical Access Network[J].Journal of Jilin University (Information Science Edition), 2025, 43(3): 689-694.
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http://xuebao.jlu.edu.cn/xxb/EN/Y2025/V43/I3/689
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