Development and Application of Intelligent Laboratory Management System
Yang Xu, Shunhong Yan, Tongtong Lin, Bolin Chen, Aiguo Dong · 2024
In the context of the rapid development of the Internet of Things (IoT) and the prevalence of intelligent management modes, this paper explores the application of the Intelligent Laboratory Management System (ILMS) in university laboratories. It introduces the design concept of the ILMS and presents numerous examples aimed at addressing the fundamental challenges in traditional laboratory management, including manpower shortage, safety issues, fund utilization, and fault repair. Integrating this system into university laboratory management practices can improve the quality and efficiency of the teaching process.