Machining process route knowledge mining method and system

Abstract

The invention discloses a machining process route knowledge mining method and system, and the method comprises the steps: representing a machining process card of a part in a picture form, and obtaining process data corresponding to the machining process card through adoption of an OCR (Optical Character Recognition) method; converting a process route data combination in the acquired process data into a process route data sequence form; taking the converted process route data in the sequence form of the parts of the same category as input, performing recursive mining based on an improved PrefixSpan method to obtain all frequent step sequences, and determining the occurrence probability of subsequent step sequences according to the frequent step sequences and corresponding frequencies; and outputting the subsequent process step sequence and the corresponding probability P to determine a machining process route. According to the method, acquisition of process data and mining of machining process route knowledge are realized, a technologist can be effectively helped to select a proper typical process route at the initial stage of process route design, and guidance is provided for process step modification when the process route is modified.

Description

technical field [0001] The invention belongs to the field of intelligent information technology of advanced manufacturing technology, and in particular relates to a method and system for digging knowledge of machining process routes. Background technique [0002] At present, computer-aided process planning technology (CAPP) is widely used in the process design of mechanical manufacturing. This technology is based on the group technology. By inputting the information of the parts to be processed into the computer, the computer can help the craftsmen to complete various tasks in the process design in a systematic and scientific way according to the knowledge in the process knowledge base. The efficiency and quality of process design largely depend on the diversity and correctness of process knowledge in the process knowledge base. Therefore, how to obtain process knowledge efficiently and correctly becomes a key issue. [0003] The acquisition of traditional process knowledg...

AI Technical Summary

Problems solved by technology

However, in order to ensure the processing quality and productivity during production, it is often necessary to carry out a detailed design of each process in the process design and determine the specific steps of each process. The knowledge excavated by this method is difficult to meet the needs

At the same time, there are also researches on process route knowledge mining from the perspective of process steps. Such methods ignore the relationship between processes and process steps, and the excavated process routes composed of process steps are often longer and less readable. And it is difficult to provide knowledge guidance when modifying the process steps, and it is only applicable to simple parts

In addition, these methods only focus on the process of process knowledge mining, while ignoring the acquisition of process data itself - the enterprise's process regulations are stored in a variety of forms, and the full-cycle intelligent mining from process data extraction to process route knowledge mining has not been realized.

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