基于移动式红外测温的变电站设备温度预警系统

Research on temperature early warning system for substation equipments based on the mobile infrared temperature measurement

目前,变电站人工巡检效率低,对电气设备的测温准确率不高,导致不能对潜在的异常设备进行预警。针对此现状,提出了一种基于移动式红外测温的变电站设备温度预警系统。系统以巡检机器人为移动平台,结合红外测温、WiFi通讯、远程监控显示等新技术,可对变电站设备进行测温预警。在此基础上,进一步分析导致红外测温误差的影响因素,采用BP神经网络对红外测温误差进行修正。系统结合绝对测温预警和相对温差预警方式,达到理想的预警效果。该系统已在德清变电站成功投入运行,证明了系统的合理性和可靠性。

Nowadays,the manual inspection is considered as a low efficiency way for substation inspection.The poten-tial abnormal for equipments might not be warned since.The temperature measurement of electrical equipments is inaccurate.Therefore,an temperature early warning system for substation equipments is proposed based on the mobile infrared temperature measurement in this paper.This system takes the inspection robot as a mobile platform and new technologies such as infrared temperature measurement,WiF1 commnunications and remote monitoring display.ete are incorporated.It is able to conduct temperature measurement early warning.In addition,the effects factors of infrared temperature measurement error are analyzed and the BP neural network is employed to modify the infrared tempera-ture mea surement errors.The proposed system combines the absolute and relative temperature measurements early warning method so as to achieve the ideal early warning effect.It has been run successfully in Deqing substation to venify its rationality and reliability.