Tunnel Fire Monitoring And Ventilation Smoke Exhaust Linkage Control System Based On Multi-Sensor Fusion

Tunnel fire is a serious tunnel safety accident.It is very important to monitor the fire in time and take ventilation and smoke extraction control measures to ensure the safety of tunnel personnel and follow-up rescue work.At present,there are two problems in tunnel fire monitoring and rescue: on the one hand,the tunnel is narrow,the fire sensors are distributed dispersedly and the sensor information fusion is insufficient,which leads to misjudgment and omission of fire judgment;On the other hand,the existing tunnel ventilation and smoke extraction control system and tunnel fire monitoring system can not achieve linkage,which leads to control lag and brings difficulties to fire rescue.Therefore,based on the multi-sensor data fusion technology,a master-slave distributed tunnel fire monitoring and ventilation and smoke extraction linkage control system has been designed,which is used to monitor the disaster data in the tunnel in real time and automatically determine the tunnel conditions,under the support of the scientific research project "Information Technology Research on Intelligent Highway Construction and Operation Management(21-04X)" of Shaanxi Transportation Department.By constructing the linkage control algorithm of tunnel ventilation and smoke exhaust,ventilation control under normal operation conditions and smoke exhaust control under fire conditions have been realized.Based on the analysis of requirements of fire monitoring and ventilation and smoke extraction linkage control,an overall scheme which includes four modules: tunnel environment and fire monitoring,multi-sensor data fusion processing has been designed,tunnel ventilation and smoke extraction linkage control,remote monitoring and control management system.Secondly,sensor selection,section layout,location and sensor network design have been carried out for tunnel environment and fire monitoring module to ensure real-time and effective collection and transmission of environmental and fire monitoring data.Then,a hierarchical multi-sensor data fusion structure has been designed,and a multi-sensor data fusion algorithm based on improved DS evidence theory has been put forward.By using multi-sensor monitoring data,tunnel fire can be quickly and accurately judged.The Pyro Sim simulation experiment of tunnel fire proves the feasibility and superiority of the multi-sensor data fusion algorithm based on improved DS evidence theory for tunnel fire judgment.Further,a tunnel fire monitoring and ventilation and smoke exhaust linkage fuzzy control model has been designed.The fire probability of fire monitoring is taken as input to judge the tunnel conditions.Under normal operating conditions,the fan control parameters are obtained by taking CO concentration and vehicle flow as input and starting units and speed as output.Under fire conditions,fan control parameters are optimized by taking control target wind speed and real-time wind speed as inputs and three optimization parameters of PID controller as outputs.The simulation results of MATLAB show that the proposed fuzzy control model can effectively realize ventilation and smoke extraction control under both fire and normal operation conditions.The linkage control system of tunnel fire monitoring and ventilation and smoke extraction designed in this thesis can accurately determine the occurrence and trend of fire,realize the linkage control of ventilation and smoke extraction control system under normal operation conditions and fire conditions,improve the automation level of tunnel ventilation and smoke extraction control system,and provide new ideas and data reference for tunnel design.