Remote infrared monitoring method for faults of indoor patrol robot in substation

In view of the low efficiency and accuracy of the traditional substation fault monitoring method and the large limitation of the use conditions, this paper studies the remote infrared monitoring method of substation indoor patrol robot fault. After the infrared image acquired by the robot is enhanced, the object to be monitored in the image is identified. The relationship between the color component of image pixels and the temperature is established to complete the fault monitoring. The experimental results show that the average fault detection accuracy of the proposed method is 98.16% and the monitoring sensitivity is higher.