Generator carbon brush temperature monitoring system and temperature prediction method based on infrared image

Abstract

According to a generator carbon brush temperature monitoring system based on an infrared image, monitoring software is developed based on an industrial personal computer end and a mobile end platform, and multi-platform remote temperature monitoring is achieved through a 4G network; a cloud server and a local data management system are used for accessing data into the cloud database and the local database to realize data storage and management; the generator carbon brush temperature prediction method comprises the following steps: acquiring field infrared image data by using a generator carbon brush temperature on-line monitoring system, processing to obtain carbon brush temperature data, and predicting and analyzing the carbon brush temperature data development trend by using a long-short term memory-feedforward LSTM-BP neural network combination model. Infrared image feature information and carbon brush temperature information are fused, the carbon brush temperature data prediction precision is improved through the long-short term memory-feedforward neural network combination model, and carbon brush temperature development trend prediction is achieved.

Description

technical field [0001] The invention belongs to the technical field of municipal public facilities monitoring, and in particular relates to a generator carbon brush temperature monitoring system and a temperature prediction method based on infrared images. Background technique [0002] Electricity is related to the national economy and people's livelihood. In 2018, the installed capacity of thermal power in my country reached 1.1 billion kilowatts, and thermal power units accounted for 70% of the total capacity. It is estimated that by the end of 2019, my country's installed power generation capacity is expected to exceed 2 billion kilowatts for the first time, and its total installed capacity will rank first in the world. With the increasing installed capacity, the safety of the system has been paid close attention to, and the generator is one of the three main engines of the thermal power unit, and its equipment reliability has a significant impact on the operation of the ...

AI Technical Summary

Problems solved by technology

However, this method of predicting by law has a large error, and can only obtain a general trend of temperature, and cannot do a good quantitative analysis

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