Intelligent ring-throwing cross-repair allocation system based on big data analysis

Abstract

The invention discloses an intelligent cross-repair and allocation system based on big data analysis. Its structural diagram is as follows, including a surface data acquisition module, a cross-repair matching analysis module, and an intelligent access and allocation module; a surface data acquisition module It includes a static constant temperature unit and a surface shape detection unit, and obtains data such as the full-aperture reflection surface shape, transmission surface shape, and material non-uniformity distribution of the component through a digital interferometer; the cross-repair matching analysis module includes a data classification unit, an index extraction unit, Data analysis unit and analysis result driving unit, the function is to process, analyze and judge the obtained surface shape data, and finally form the best cross-repair matching scheme; the intelligent cross-repair allocation module includes component storage unit and automatic transmission unit, according to the cross-repair The matching scheme automatically accesses and transfers components. The intelligent cross-repair adjustment system of the present invention is applied in the batch processing process of multi-station ring polishing machines, and uses the diversified first surface shape distribution and the diversified polishing die surface shape change characteristics to make matching decisions based on big data analysis. The intelligent control of the whole process can effectively improve the hit rate of cross repair and the efficiency of surface shape control, which has strong practicability.

Description

technical field [0001] The invention belongs to the field of optical cold processing, and in particular relates to batch ring polishing processing of large-diameter neodymium glass elements. Background technique [0002] In high-power laser systems, in order to obtain ideal beam focusing quality, precision optical components need to meet stringent full-band wavefront error and surface quality requirements. Ring throwing technology has excellent low-medium-high-frequency error control and multi-station batch processing capabilities, and has become the main technical approach for high-precision large-diameter planar component processing. [0003] The large-diameter neodymium glass plate element is the working substance of the laser system and one of the key components in the ICF laser driver. The difficulty in ring polishing of neodymium glass components comes from its large aspect ratio, diameter-thickness ratio, and large thermal expansion coefficient. Influenced by many f...

AI Technical Summary

Problems solved by technology

[0005] The current status of the above process increases the difficulty of controlling the surface shape of neodymium glass components, making it difficult to greatly improve the processing efficiency of a single device

It cannot meet the finishing needs of thousands of pieces of neodymium glass components in high-power laser systems

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