Method and system for identifying abnormal equipment based on thermal imager

Abstract

The invention discloses a method and system for identifying abnormal equipment based on a thermal imager, and the system applies the method. The method comprises the steps: S1, obtaining the current position information and environment information; S2, generating and collecting an infrared thermal image according to the environment information, and identifying the temperature of all pixel points in the infrared thermal image; S3, judging whether the temperature of each pixel point exceeds a threshold value or not, if the pixel points exceeding the threshold value exist, skipping to the step S4, and if the pixel points exceeding the threshold value do not exist, skipping to the infrared thermal image; S4, collecting a visible light image corresponding to the infrared thermal image; S5, extracting corresponding equipment according to the visible light image and the infrared thermal image; S6, identifying a type and a model corresponding to the equipment and a common temperature abnormalfault type according to the extracted equipment; and S7, transmitting the type and model of the equipment, the common temperature abnormal fault type, the current position data and the alarm information to a data monitoring center. The position of the abnormal equipment is accurately obtained according to the current position data so that the maintenance efficiency is improved.

Description

technical field [0001] The invention belongs to the technical field of electric equipment fault detection, and in particular relates to a method and system for identifying abnormal equipment based on a thermal imager. Background technique [0002] With the rapid development of science and technology, the requirements for the power industry have also been gradually improved. At present, my country is vigorously developing smart substations and building a big data platform. Because the power equipment is in the running state for a long time, and affected by the environment and other factors, it will produce different levels of faults, which will cause certain harm to the safety and stability of the power system. Therefore, the fault detection and analysis of power equipment is very important in the smart grid. Effective monitoring of different types of power equipment, and real-time and automatic analysis of whether the power equipment is faulty, fault degree, fault location,...

AI Technical Summary

Problems solved by technology

[0005] In this scheme, the infrared thermal image is used to process the data to analyze the faulty power equipment, locate the fault location of the power equipment, and judge the level of the fault. However, during the power inspection process, the collected infrared thermal image contains many The electrical equipment, and the infrared thermal image shows the thermal field distribution map, it is impossible to accurately identify the corresponding electrical equipment from the infrared thermal image, the fault types of different electrical equipment are different, and the maintenance suggestions given are also different. must be accurate

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