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The laboratory is an important place for teaching and scientific research in major universities, and plays an important role in the work of universities. The resources equipped by the laboratory occupy a large part of the resources of the entire school. The laboratory security system plays an important role in ensuring the safety of the laboratory...
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... After 2010, national and local governments have paid more attention to laboratory safety management, on the one hand, they have formulated standards related to laboratory safety management in colleges and universities, on the other hand, they have also enhanced laboratory safety education at the school level [15], [16]. As a result, accidents in laboratories in colleges and universities have been reduced [17]. Therefore, it is especially important to study the law of laboratory accidents in colleges and universities, and to deeply investigate the root causes leading to laboratory accidents, which is particularly important for the intelligent control model of laboratory safety risks in colleges and universities [18], [19]. ...
... where t is the number of experts involved in empowerment. (6) Determination of the outcome of decision-making by expert group clusters: According to Eqs. (14), (15), (16) to calculate the weights of the indicators under the decision-making of a single expert, the weight of the ith indicator under the decision-making of the kth expert is expressed by w k i , and according to the equation (17) to get the weight index L k of the kth expert in the process of assigning weights then the result of the group decision-making of the ith indicator is, ...
This paper focuses on developing an intelligent management model for safety risks in university laboratories based on digital twin technology to improve safety management efficiency and accuracy. The virtual simulation environment of the laboratory is constructed by using digital twin technology, which is combined with the DEMATEL-ISM method for risk identification and analysis. Fault tree analysis (FTA) method was utilized to construct a laboratory safety accident fault tree to identify and assess potential risk factors. It was found that safety risks in laboratories can be effectively identified and controlled by digital twin technology. The risk assessment showed that unregulated drug storage, lack of monitoring and warning devices, insufficient safety awareness, inadequate systems and unreasonable layout of water, electricity and gas pipelines were the main risk factors. The empirical analysis of 11 university laboratories revealed that most of the laboratories were at a “relatively safe” level. The intelligent management model of safety risk in university laboratories based on digital twins can effectively identify and assess the safety risk, provide a scientific basis for the formulation of safety management measures, and thus improve the efficiency and accuracy of laboratory safety management.
