There are potential safety hazards in the laboratory such as unauthorized access, and abnormal temperature and humidity fluctuation. These risks pose significant threats to the safe storage of chemical reagents, the proper operation of precision instruments, and the overall security of laboratory assets. Traditional manual inspection methods often fail to provide timely monitoring of these critical aspects, leaving room for undetected incidents. To address these challenges, with the aid of WiFi communication to intelligently supervise the laboratory environment, a sophisticated laboratory security warning system based on the core control chip of STM32F103RCT6 as well as integrated various sensors has been developed. Meanwhile, we design fuzzy logic fusion weighted method to fuse multi-source data into a unified warning value to decide whether to trigger an alarm. As soon as the system detects any anomalies, it immediately triggers an audible alarm and simultaneously uploads the relevant data to the China Mobile OneNet IoT cloud platform. This advanced system offers comprehensive data management capabilities, including storage, query, and export functions. By providing real-time monitoring and rapid alerting, it effectively identifies potential risks, significantly reducing the likelihood of accidents. Furthermore, it enhances management efficiency and emergency response capabilities, thereby ensuring the safety and security of laboratory operations.

Laboratory environment warning system; Sensors; STM32; WiFi communication