Thermal Fault Monitoring Method For Substation Based On Multi-sensors Information Technology

Substation is the hub of power transmission and distribution.Electrical equipment fault will cause serious power problems,lead to fire,bring inconvenience to people's lives and even cause huge economic and property losses.Because electrical equipment fault was not found in time and the error of fire alarm was large,method for monitoring electric equipment of substation based on multi-sensors is proposed.This topic study and research were from video monitoring of electrical equipment and fire prevention in substation.Infrared sensor and visible light sensor is used in video monitoring.Infrared sensor can monitor heating information of electrical equipment which reflects the operation status of equipment indirectly.Visible light sensor can monitor spot information of equipment.Infrared image and visible light image were combined through image segmentation algorithm and image fusion algorithm,by which not only the thermal equipment fault information could be found,but also the site location information was clear.In the fire monitoring,using temperature sensor,CO concentration sensor,and smoke concentration sensor monitor fire characteristics at the same time,then the final decision of the fire alarm was got by the fusion algorithm of D-S evidence theory.The monitoring method of infrared sensor combined with visible light sensor is more comprehensive and accurate for the analysis and diagnosis of thermal fault of electrical equipment.It has obvious advantages compared with the conventional single visible video monitoring.The simulation results of multi-sensors fire monitoring alarm shows that D-S evidence theory data fusion algorithm speeds up the convergence rate of fire signs and reduces the false alarm rate of fire alarm.