Practice teaching plays an important role in the skill training process of high schools, colleges and universities. The traditional model of laboratory management is based on manual management, with the problems of low utilization of equipment, outdated means of operation and management of laboratories, and inconvenient use by students and teachers. Based on AIoT (Artificial Intelligence & Internet of Things) technology, this paper designs and implements an intelligent laboratory management system. The system consists of device layer, edge layer, network layer, and application layer. The proposed system uses a variety of IoT (Internet of Things) devices to realize the collection of laboratory-related data, including environmental data, electricity data, video data, etc., and connecting to the edge gateway and application platform. The edge gateway integrates an AI (Artificial Intelligence) chip with a dedicated NPU module that enables analysis of video data for intelligent detection in laboratory environments. The laboratory management platform with B/S architecture is built to provide functions such as laboratory energy consumption management, environment monitoring, access management, safety monitoring, classroom scheduling, etc., to improve the intelligence level of laboratory management in universities and improve the efficiency of laboratory management.