Image processing-based heliostat fault diagnosis method and system

An image processing and fault diagnosis technology, applied in the field of solar energy, can solve the problems of high installation accuracy and high diagnostic cost, and achieve the effect of timely and rapid troubleshooting

Inactive Publication Date: 2014-07-30
ZHEJIANG SUPCON SOLAR TECHNOLOGY CO LTD
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of this invention is to provide a heliostat fault diagnosis method based on image processing to solve the high diagnostic cost and high installation accuracy requirements in the prior art question
[0006] Another object of the present invention is to provide a heliostat fault diagnosis system based on image processing to solve the problem of high diagnosis cost and high installation accuracy in the prior art technical issues

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
  • Image processing-based heliostat fault diagnosis method and system
  • Image processing-based heliostat fault diagnosis method and system
  • Image processing-based heliostat fault diagnosis method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0076] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments. The embodiments and examples listed in the present invention are only for the purpose of illustration, so that those skilled in the art can better understand and implement the present invention, and are not intended to limit the scope of protection defined by the claims.

[0077] Such as figure 1 As shown, the heliostat fault diagnosis system includes:

[0078] The camera 1 is connected with the transmission module, and is used for collecting digital images of the attitude of the heliostat;

[0079] The transmission module 2 is connected with the calculation processing center 3 and the data center 4, and is used for transmitting image information, calculated and processed data information, and sending alarm information, etc.;

[0080] The computing processing center 3 is connected to the data transmission module 2, and is used for binocular vis...

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

A method and system for fault diagnosis of heliostats based on image processing, the method further includes: (1) collecting images of heliostats in the same target area, and obtaining at least two two-dimensional images of the same scene; (2) calculating heliostats The actual attitude data; (3) Calculate the theoretical attitude data of the heliostat according to the sun altitude angle, azimuth angle and the relative position between the heliostat and the heat sink at the time of image collection; (4) Compare the actual attitude data of the heliostat with the fixed The theoretical attitude data of the heliostat is used to judge whether the heliostat is a faulty heliostat. Step (2) further includes: using the binocular vision three-dimensional measurement algorithm to calculate the actual attitude of the target heliostat at this moment, and determine the position information and serial number of the heliostat. The invention overcomes the disadvantages of high cost and complicated installation of the traditional closed-loop fault diagnosis method, and realizes the heliostat fault diagnosis automatically, quickly, conveniently and accurately by using computer image processing technology.

Description

field of invention [0001] The present invention generally relates to the field of solar energy, in particular to a heliostat fault diagnosis method and system applied to a tower-type solar thermal power generation system. Background technique [0002] With the development of economy and industry, the demand for energy is increasing, especially electric energy is an indispensable energy in industry and people's life. The traditional power generation mode can no longer meet the needs of industrial and economic development. For this reason, people pay more and more attention to clean and renewable energy, and among many clean energy sources, solar energy is widely used in the fields of power generation and heat generation. In the application of solar power generation, tower solar power generation system is one of the important ways. [0003] Tower-type solar thermal power plant is a complex thermal system, which has the characteristics of strong nonlinearity, large delay, and...

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 Patents(China)
IPC IPC(8): G01M11/00
Inventor 黄文君姚梦凯祝雪妹李江烨
Owner ZHEJIANG SUPCON SOLAR TECHNOLOGY CO LTD
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