The widespread power cut caused by substation power equipment failure will bring about huge economic losses and negative impact on society. According to the characteristic that power equipment failure can produce abnormal temperature, an infrared monitoring system based on intelligent visual internet of things for substation is presented. This system realizes remote monitoring by wireless network and alarms the equipment’s heat anomaly in real time. The accurate locating of the abnormal heat-generating area is achieved by using the infrared image and the visible image registration method based on the spatial position constraint and the direction constraint. The system will mark the abnormal heating area and the high temperature area with visual labels, and analyze the temperature change in the heat region as a result of which the occurrence and even the severity of the breakdown can be prevented. The experimental results demonstrate that the system can detect and locate the equipment’s temperature anomaly immediately and accurately, achieve the continuous monitoring of the abnormal temperature area as well as alarming the breakdown, and provide reliable guarantee for the monitoring of substation equipment anomaly. This work is supported by Key Research and Development Program of Jiangsu Province (No. BE2016071).