A method for automatic early warning of power equipment faults based on infrared imaging temperature measurement

Abstract

The invention discloses an automatic early warning method for power equipment faults based on infrared imaging temperature measurement, and relates to the technical field of power equipment detection and maintenance. The main method step is to take the four data sets of T, T20, Tmax, and Tmax20, with the time as the X axis and the value as the Y axis, and perform incremental recursive regression modeling respectively, and the real-time temperature measurement data sets formed by each are used as the trend The basic data of the analysis; according to the trend model of T, T20, Tmax, Tmax20, predict the temperature value that T, T20, Tmax, Tmax20 will reach in the next 1 hour, 1 day, 1 week, according to the predicted temperature value, and alarm Threshold comparison to realize trend warning. For the first time, the present invention applies the trend analysis of the conversion temperature of infrared temperature measurement combined with environmental climate information to the judgment of infrared temperature measurement trend warning of electric power equipment; for the first time, the infrared temperature measurement combined with environmental climate information and current load to calculate the maximum duration of the equipment The temperature of the hot spot of the load is analyzed, and this index is analyzed to predict the temperature trend, and further realize accurate and advanced warning.

Description

technical field [0001] The invention relates to the technical field of electric equipment detection and maintenance. Background technique [0002] At present, my country's economy continues to develop rapidly, and the power grid is also moving towards the ranks of strong and smart grids, that is, UHV is the main network, and different levels of power grids are developed in harmony. The safe and stable operation of the power system is the key to the safe production of various industries including coal mines. basic security. The smart grid has the characteristics of "self-healing", including the following two aspects: First, the smart grid can automatically and quickly isolate faults and ensure the power supply of normal areas in time; second, it can monitor the operation of the power grid online and give timely alarms for faults that occur , and take effective measures to eliminate hidden dangers, so as to ensure the safe and reliable operation of the power grid and avoid the...

AI Technical Summary

Problems solved by technology

[0008] Therefore, all kinds of existing manual monitoring systems have phenomena such as untimely alarms, false positives and false negatives to varying degrees, so that the security and practicability of the system cannot be guaranteed.

In addition, the smart grid has effectively promoted the development of real-time online detection technology for substation equipment. Therefore, with the rapid development of the smart grid, the monitoring system will become larger and larger. If all manual monitoring is used, the labor cost will be very expensive

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