Intelligent continuous-polishing cross-repairing allocation system based on big data analysis

Abstract

The invention discloses an intelligent continuous-polishing cross-repairing allocation system based on big data analysis. A structural schematic diagram of the system is as shown below. The system comprises a surface shape data acquisition module, a cross-repairing matching analysis module and an intelligent access and allocation module, wherein the surface shape data acquisition module includes astatic constant-temperature unit and a surface shape detection unit, and acquires data such as a full-caliber reflective surface shape and transmissive surface shape of an element and non-uniform distribution of a material through a digital interferometer; the cross-repairing matching analysis module includes a data classification unit, an index extraction unit, a data analysis unit and an analysis result driving unit, and has the functions of processing, analyzing and judging the acquired surface shape data to finally form an optimal cross-repairing matching scheme; and an intelligent cross-repairing allocation module includes an element storage unit and an automatic transmission unit, and performs automatic access and allocation on the element according to the cross-repairing matching scheme. The intelligent cross-repairing allocation system is applied to a batch processing course of a multi-station continuous polishing machine cluster, a matching decision making is performed basedon the big data analysis by use of diversified surface shape distributions of first surfaces and diversified polishing mold surface shape variation characteristics, the whole process is intelligentlycontrolled, the cross-repairing hit rate and the surface shape control efficiency are effectively improved, and the system 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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