Design of Fire Detection and Automated Early Warning System Based on Multi Sensor Information Fusion
Fire detection and automated early warning are the basis for ensuring reliable emergency rescue of fires.Therefore,a fire detection and automated early warning system based on multi-sensor information fusion is designed.Using adaptive weighting algorithm,based on the autocorrelation and cross correlation functions of sensors,the sensing data of temperature sensors,carbon monoxide sensors,and smoke sensors are fused.The DKmeans algorithm optimized based on TOPSIS method is used to cluster the fused multi-sensor data and calculate the fire probability results.Based on the probability calculation results,the fire category is determined and fire warning is carried out.The test results show that the system can complete multi-sensor data fusion and obtain reliable and comprehensive fire data.The data clustering effect is good,with single point contour coefficients above 0.947.Based on the fire probability re-sults,the fire category can be determined and the fire warning can be completed.
multiple sensorsinformation fusionfire detectionautomated early warningdata clusteringfire probability
NETL
NSTL
万方数据
维普
