Image processing-based heliostat fault diagnosis method and system

Abstract

The invention discloses an image processing-based heliostat fault diagnosis method and system. The method further comprises the following steps of: (1) acquiring images of a heliostat in the same target area to obtain at least two two-dimensional images in the same scene; (2) calculating the practical attitude data of the heliostat; (3) calculating the theoretical attitude data of the heliostat according to a solar altitude, an azimuth angle and a relative position between the heliostat and a heat absorber at an image acquiring moment; and (4) comparing the practical attitude data of the heliostat with the theoretical attitude data of the heliostat to judge whether the heliostat is faulted heliostat, wherein the step (2) further comprises the following steps of: calculating the practical attitude of a target heliostat at the same moment by using a binocular vision three-dimensional measuring algorithm; and judging the position information and the serial number of the heliostat. Due to the adoption of the method and the system, the defects of high cost and complex installation existing in the conventional close-loop fault diagnosis method are overcome; and a computer image processing technology is adopted, so that fault diagnosis of the heliostat is realized automatically, rapidly, conveniently and accurately.

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...

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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

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