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

An infrared image and monitoring system technology, applied in the direction of radiation pyrometry, neural learning method, information technology support system, etc., can solve the problems of large error and quantitative analysis, and achieve good timing characteristics, high prediction accuracy, The effect of accurate data

Inactive Publication Date: 2021-12-21
XIAN UNIV OF TECH
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Generator carbon brush temperature monitoring system and temperature prediction method based on infrared image
  • Generator carbon brush temperature monitoring system and temperature prediction method based on infrared image
  • Generator carbon brush temperature monitoring system and temperature prediction method based on infrared image

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0041] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0042] Such as figure 1 Generator carbon brush temperature online monitoring system based on infrared image, including: 2 infrared cameras, 4G industrial router, GPRS / 4G base station, cloud server, carbon brush temperature analysis system, data management system, mobile terminal monitoring system;

[0043] Two thermal imaging cameras are installed on both sides of the generator to ensure that the detection range includes the main parts of the generator slip ring and the entire range of the carbon brush; the infrared image data of the thermal imaging cameras are transmitted to the industrial 4G router through a twisted pair , the real-time measurement data images are then transmitted to the cloud server via the 4G / GPRS bas...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

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 ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G01J5/00G06N3/08G06N3/04
CPCG01J5/00G06N3/084G01J2005/0077G06N3/044G06N3/045Y04S10/50
Inventor 焦尚彬兀鹏越李玉军武晓辉赵峰张青马寅兴
Owner XIAN UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap