Construction of Safety Management System of Instrument/Electrical Laboratory in Universities based on Artificial Intelligence Technology
DOI:
https://doi.org/10.54097/nt5k3e13Keywords:
AI Technology, University Laboratory, Safety Management System, Instrument Laboratory, Electrical LaboratoryAbstract
With the increasing importance of safety management of instrument and electrical laboratories in universities, the disadvantages of traditional management mode are becoming more and more obvious. This study aims to explore the construction of an efficient safety management system with the help of AI technology. Through literature research and theoretical analysis, this paper analyzes the application feasibility of AI related technologies such as machine learning, image recognition and sensor technology in laboratory safety management. In this paper, the system framework covering intelligent monitoring, risk assessment, emergency response and data management is constructed, and the functions and coordination mechanisms of each module are defined, and the implementation guarantee is put forward from three aspects: hardware facilities, operation management mechanism construction, data security and privacy protection. The research shows that the safety management system based on AI technology can realize all-round intelligent management of the laboratory. This provides a reliable guarantee for the safe operation of instrument and electrical laboratories in universities, and is of great significance to promote the intelligent transformation of laboratory safety management in universities.
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[1] Zhen Lihua. Exploration on the construction path of smart laboratories in the era of artificial intelligence[J]. Laboratory Science, 2023, 26(3): 160-163.
[2] Zhang Zhenhua. How to realize the application of artificial intelligence technology in university laboratory management[J]. China New Telecommunications, 2022, 24(18): 113-115.
[3] Wang Shuai. Innovative laboratory management mode based on Internet of Things + big data technology[J]. Information Recording Materials, 2021, 22(9): 214-215.
[4] Wu Qinglin, Wang Yan. Exploration and practice of university smart laboratories based on "cloud computing + Internet of Things"[J]. Research and Exploration in Laboratory, 2024, 43(2): 226-230.
[5] Wang Fan, Zhang Liucheng, You Tingting, et al. Analysis and prospect of the current situation of safety management in university teaching laboratories in the digital intelligence era[J]. Laboratory Science, 2024, 27(4): 204-209.
[6] Xu Yunfeng, Lei Hailong, Han Yonghui, et al. Safety detection model for chemical laboratories in constrained computing environments[J]. Journal of Safety and Environment, 2024, 24(10): 3780-3787.
[7] Chen Wei, He Jing. Research on optimization strategies of university laboratory safety management system integrating AI agents[J]. China Broadband, 2024, 20(9): 148-150.
[8] Xue Liang, Wang Hanxiao, Hu Xiaobo, et al. Research on data security audit management system based on user and entity behavior analysis and artificial intelligence[J]. Information and Communications Technology and Policy, 2024, 50(12): 73-81.
[9] Sui Shougang, Qiao Bin. Design and research of intelligent auxiliary management system for electrical and electronic laboratories[J]. Laboratory Science, 2023, 26(4): 48-52.
[10] Wang Shiguo. Research on comprehensive reform of university laboratory management from the perspective of building a world-class university highland[J]. Experimental Technology and Management, 2021, 38(12): 249-254.
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