Abstract: A heliostat surface shape detection system and a method based on multi-view image recognition are described. The system includes a multi-view image collector array, a bracket and a computer. The multi-view image collector array is arranged on the bracket so that the main optical axes of image collectors are parallel to each other and point to the heliostat; the multi-view image collector array is connected with the computer via data lines, and transmits the collected image data to the computer for heliostat surface shape calculation.

Abstract: A heliostat correction system includes an image acquisition module for acquiring the image of a celestial body in a field of view and sending the image to a data analysis module which analyzes the deviation value between the celestial body image and the image center in an image coordinate system and transmits the deviation value to a correction calculation module which decomposes the deviation to a corresponding rotation axis according to the rotation mode of a heliostat to obtain the deviation angle of each rotation axis; a data storage module is used to store the correction result of the heliostat and the single correction period control command list of the heliostat; a communication module reads the single correction period control command list from the data storage module, sends the list to the heliostat, and simultaneously controls the image acquisition module to shoot according to the rotation period of the heliostat.

Abstract: A heliostat correction system includes an image acquisition module for acquiring the image of a celestial body in a field of view and sending the image to a data analysis module which analyzes the deviation value between the celestial body image and the image center in an image coordinate system and transmits the deviation value to a correction calculation module which decomposes the deviation to a corresponding rotation axis according to the rotation mode of a heliostat to obtain the deviation angle of each rotation axis; a data storage module is used to store the correction result of the heliostat and the single correction period control command list of the heliostat; a communication module reads the single correction period control command list from the data storage module, sends the list to the heliostat, and simultaneously controls the image acquisition module to shoot according to the rotation period of the heliostat.

Abstract: A heliostat surface shape detection system and a method based on multi-view image recognition are described. The system includes a multi-view image collector array, a bracket and a computer. The multi-view image collector array is arranged on the bracket so that the main optical axes of image collectors are parallel to each other and point to the heliostat; the multi-view image collector array is connected with the computer via data lines, and transmits the collected image data to the computer for heliostat surface shape calculation.