Double spinning process recommendation system based on case reasoning

Abstract

The invention discloses a double spinning process recommendation system based on case reasoning, which comprises a spinning process case library, wherein the spinning process case library is connected with a spinning process recommendation module, the spinning process recommendation module is connected with a similar process reuse module, and the similar process reuse module is connected with a case learning module; and the case learning module is also connected with the spinning process case library. According to the method, the double similarity is adopted to represent the closeness degree of the two spinning process cases, the analytic hierarchy process and the expert scoring system are adopted, fixed weights are given to part of feature attributes, the user range can be expanded, certain manual operation influences are reduced, the time for repeatedly adjusting the weights is shortened, and therefore efficiency can be effectively improved. The method has the characteristic that the process case with the highest similarity can be efficiently and accurately recommended.

Description

technical field [0001] The invention relates to a spinning process recommendation system, in particular to a dual spinning process recommendation system based on case reasoning. Background technique [0002] With the development of social economy, people's demand for products tends to be diversified and customized, and the production characteristics of textile enterprises tend to be more and more small-batch and multi-variety, which puts forward higher requirements for the production capacity of textile enterprises, that is, enterprises should Possess the ability to quickly respond and adjust the manufacturing process. As far as spinning is concerned, it is characterized by multiple machines, multiple processes, and long process, mainly including raw material selection, dyeing, mixing, carding, drawing, drafting, twisting, clearing, paralleling, two-for-one twisting, etc. There are many process parameters involved and the processing mechanism is complicated, which easily re...

AI Technical Summary

Problems solved by technology

The system covers a wide range, but it also lacks pertinence, ignoring many factors that affect the spinning process design. In the case of a large number of process cases, it is difficult to accurately find out the process case with the highest similarity

And the method of assigning retrieval feature weights completely independently, although highly open, may also cause unreasonable feature weights, and it will take a lot of time to repeatedly adjust the weights

Therefore, the existing technology has the characteristic of being unable to efficiently and accurately find the process case with the highest similarity

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