Optimal Design of Safety Supervision System of University Laboratories Based on Internet of Things Technology

The optimal design of safety supervision system is critical in university laboratories, however it has an issue with erroneous performance positioning. The typical Bee colony algorithm is unable to address the optimization design issue in university laboratories, and the result is insufficient. As a result, a Internet of things technology-based this paper proposes the optimal design of the safety supervision system of university laboratories is provided, and the indicators is divided according to the requirements of the optimization is assessed. To begin, the network communication theory is used to discover the influencing elements, and the indicators are split based on the optimal design of safety supervision system's needs to decrease interference factors in the optimal design of safety supervision system. The network communication theory is then used to create a Internet of things technology optimal design of safety supervision system scheme, and the outcomes of the optimal design of safety supervision system are thoroughly examined. The MATLAB simulation results reveal that, under particular evaluation conditions, the Internet of things technology outperforms the standard Bee colony algorithm in terms of optimal design of safety supervision system accuracy and time of influencing variables.