Design And Implementation Of A Wireless-Based Laboratory Fire Monitoring System

With the rapid development of science and the economy,the state’s investment in scientific experiments is increasing,leading to a rapid growth in the number of laboratories with special characteristics,such as complex electrical wiring and storage of flammable and explosive substances.These characteristics greatly increase the potential for safety accidents.Unfortunately,laboratory fires have occurred frequently in recent years,posing a significant threat to the lives of laboratory researchers and laboratory property.As a result,laboratory safety has become an increasingly important issue for the public,and the development of a system that can effectively monitor and warn of laboratory fires has become critical.Although many laboratories today have established fire monitoring systems,these systems have limitations,such as irregular records of accident causes and a lack of unified information management,which hinders the analysis of accidents and identification of hidden dangers in individual laboratories.To address these issues,a wireless-based laboratory fire monitoring system has been designed and implemented.This system provides unified information management for the province’s laboratory fire monitoring system,thus improving the province’s laboratory fire monitoring capability.The main work accomplished in this study includes the following:First of all,a wireless sensing network for the fire monitoring system was designed and implemented,which includes the hardware and software parts.The hardware part involved designing the circuit connections of the ZigBee master chip with various types of sensor and gateway modules.The software part included designing and implementing the ZigBee program for the coordinator node and terminal node,as well as the data conversion method between the ZigBee data frame format and the data messages uploaded to the cloud platform.In the next part,to address the problem of low accuracy of single sensors in fire alarm,the fire monitoring system adopted fuzzy inference technology to predict the probability of fire occurrence,thereby improving the accuracy of fire alarms.The cloud platform system and web-based management platform were designed and implemented according to the system requirements,with the cloud platform connected to the web-based management platform through the data push function,providing real-time environmental data charts,visualization of fire probability,historical data query,and user management.Finally,various functional modules of the system underwent overall testing,including networking and transmission distance testing of the wireless sensor network,data communication and alarm testing of the One NET platform,various functional modules testing of the web-based management platform,and fire warning function testing.The testing results were in line with the expected vision,indicating the system’s effectiveness in improving laboratory fire monitoring capability.