MULTI-VIEW IMAGE RECOGNITION-BASED HELIOSTAT SURFACE SHAPE MEASUREMENT SYSTEM AND METHOD
The present invention relates to a heliostat surface shape detection system and method based on multi-view image recognition, comprising a multi-view image collector array, a bracket and a computer, wherein the said multi-view image collector array is arranged on the bracket so that the main optical...
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Main Authors | , , |
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Format | Patent |
Language | English French German |
Published |
25.03.2020
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Subjects | |
Online Access | Get full text |
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Summary: | The present invention relates to a heliostat surface shape detection system and method based on multi-view image recognition, comprising a multi-view image collector array, a bracket and a computer, wherein the said 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. The present invention, with a simple system structure and reasonable design, adopts non-contact detection which avoids interaction with the heliostat surface, ensures high-precision and high-efficiency heliostat surface shape detection, calculates the heliostat surface shape according to the feature information of the surface, effectively detects the surface shape of both continuous and discrete heliostats, and has a wide application range. |
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Bibliography: | Application Number: EP20180788983 |