Heliostat shape rapid detection system and method thereof

Abstract

The invention relates to a heliostat shape rapid detection system and method thereof. The heliostat shape rapid detection system comprises a laser array and an image acquisition device array. The laser array is installed on a horizontal supporting plane through an angle-adjustable mechanism. A receiving target is parallel to the horizontal plane. The image acquisition device array is installed on the receiving target through a fixing support and transmits the acquired image data to a computer. A heliostat under detection is composed of multiple sub-mirrors which form a discrete convergence curve which is the mirror shape of the heliostat under detection, and the three-dimensional attitude is described through the rolling angle and the pitching angle of the sub-mirrors. The mirror reflection light spots of the heliostat on the receiving target are directly photographed by the image acquisition device array based on the reflection law of light to calculate the three-dimensional space reflection angle of each sub-mirror so that high-precision shape detection of continuous mirrors and discrete mirrors can be realized. The energy density of the laser light spots is high and is not liable to be interfered by environmental light so that shape detection can be completed in the common indoor environment.

Description

technical field [0001] The invention relates to a heliostat surface shape rapid detection system and a method thereof, belonging to the technical field of heliostat surface shape detection. Background technique [0002] As the core component of tower solar thermal power generation technology, heliostats can reflect the received sunlight to a specific receiving target. Heliostats with converging characteristics can achieve the reduction of the reflected sunlight spot size according to specific strategies while completing the above work, thereby reducing the size of the receiving surface and improving space utilization and power generation efficiency. Due to the influence of various errors in the actual manufacturing process, the surface shape accuracy of the heliostat will be reduced, which may cause huge deformation of the reflected light spot and affect the effective energy obtained by the receiving target. Therefore, it is necessary to accurately measure the surface shape ...

AI Technical Summary

Problems solved by technology

[0005] The object of the present invention is to provide a rapid detection system and method for the heliostat surface shape in view of the fact that the current technology cannot meet the existing needs, and directly capture the specular reflection spot of the heliostat on the receiving target through the image collector array, because The energy density of the laser spot is high, so it is not easily disturbed by the ambient light, which can ensure the stability of the surface shape detection, and can realize the surface shape detection in the ordinary indoor environment, and realize the high-precision relative position deviation through the image processing technology. Move distance measurement to obtain high-precision angle measurement value, so as to realize high-precision heliostat surface reconstruction, calculate the three-dimensional space reflection angle of each sub-mirror according to the reflection law of light, and achieve high-precision for both continuous and separated mirrors. High-precision surface shape detection does not require complex target recognition algorithms, and has a wide range of applications

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