| With the vigorous construction of urban underground comprehensive pipeline corridors,the fire prevention problem in its pipeline corridors has also become one of the hotspots we are currently studying.This thesis mainly focuses on the fire hazard identification and warning system of urban underground pipeline corridors.In this paper,the improved Apriori algorithm is used to realize the danger identification and early warning of the pipe corridor fire.The multi-factor characteristics of the pipe corridor fire perfectly match the rules of the Apriori algorithm.Excavate,analyze the potential correlation of various factors leading to fire and summarize them regularly,predict the possibility and development trend of fire,and verify the improved algorithm by analyzing the results of Matlab simulation training of Apriori algorithm before and after improvement.It can quickly and accurately achieve the early warning effect.The design of the system’s lower computer mainly uses Siemens PLC S7-300 controller to control various sensors and other hardware modules,and the functions of monitoring,controlling and alarming the internal environmental parameters of the pipe corridor are realized by compiling the lower computer program.The design of the host computer is mainly based on Lab VIEW,which realizes the management and control of the comprehensive pipe corridor fire early warning system and the real-time monitoring of the internal environmental parameters of the pipe corridor.Detect and alert the observer in the control room in order to deal with the fault as soon as possible.Finally,the joint test and debugging of the entire system are conducted to verify the feasibility of the system,and the corresponding problems are summarized and corrected accordingly. |
