变电站高压电气试验设备故障运行状态检测研究

Study on Fault Operation Status Detection of High Voltage Electrical Testing Equipment in Substation

为解决现有变电站高压电气试验设备故障检测方法存在的热位置不明显、检测精准度低问题,探讨了变电站高压电气试验设备故障运行状态检测。首先使用CCD图像传感器对设备进行拍摄,然后通过分割阈值对采集到的故障图像进行分割,以便识别每个区域中对应设备的故障特征。接下来,利用传感器对设备故障图像进行分析,并通过无线传感网络进行信息感知,从中提取设备故障运行的状态数据,再经过压缩感知处理的设备信息进行信号重构,得到故障概率。最后采用DS论证方式将故障概率进行信息证据融合,经分析决策后得出具体的故障状态。同时,设备在运行过程中会产生热量,而通过监测设备的温度变化可判断设备的运行状态,为故障状态提供额外依据。试验结果表明,该方法可有效检测出变电站设备的过热位置和温度,检测精度在98%~100%,达到了较高水平。

In order to solve the problems of unclear hot position and low detection accuracy in existing fault detection methods for high-voltage electrical testing equipment in substations,this work studied fault operation status detection of high-voltage electrical testing equipment in substations.First,the CCD image sensor was used to capture the equipment,and then the collected fault images were segmented using a segmentation threshold to identify the corresponding fault features of the equipment in each area.Next,sensors were used to analyze equipment fault images,and information perception was carried out through wireless sensor networks to extract status data of equipment fault operation.Then,the device information processed by compressed sensing was used for signal reconstruction to obtain the probability of failure.Finally,DS reasoning method was used to fuse the information evidence of fault probability,and after analysis and decision-making,the specific fault state was obtained.Moreover,the equipment generated heat during operation.Thereby by monitoring the temperature changes of the equipment,the operating status of the equipment could be determined,providing additional information for determining fault status.The experimental results showed that the method proposed in this paper can effectively detect the overheating position and temperature of substation equipment,with a detection accuracy between 98%and 100%,achieving a high level of effectiveness.