基于Mask R-CNN的电力关键设备运行状态检测

Operation status detection of power key equipment based on Mask R⁃CNN

为判断电力关键设备两端负载电压与干路总电压之间的数值关系,提出基于Mask R-CNN的电力关键设备运行状态检测方法。在Mask R-CNN网络结构中,判断电量信号的时域范围与频域范围。然后根据负荷阻抗特征计算交流参数的取值结果,再联合已获取的电信号参量,求解连续相关函数,从而检测电力关键设备运行状态。实验过程中,设备两端负载电压、内阻消耗电压之和与干路总电压之间的差值未超过1.5 V,说明该方法能够证明电力关键设备两端负载电压、内阻消耗电压之和等于干路总电压数值的猜想成立,可以根据该验证检测电力关键设备运行状态是否正常。

In order to judge the numerical relationship between the load voltage at both ends of the key power equipment and the total voltage of the main road,a key power equipment operation state detection method based on Mask R-CNN is proposed.In the Mask R-CNN network structure,judge the time domain range and frequency domain range of the electric quantity signal.Then calculate the value of AC parameters according to the load impedance characteristics,and then combine the obtained electrical signal parameters to solve the continuous correlation function,so as to detect the operation state of key power equipment.During the experiment,the difference between the sum of the load voltage and the internal resistance consumption voltage at both ends of the equipment and the total voltage of the main road does not exceed 1.5 V,which indicates that the method can prove that the conjecture that the sum of the load voltage and the internal resistance consumption voltage at both ends of the power key equipment is equal to the total voltage of the main road is established,and can be used to verify whether the operation status of the power critical equipment is normal.