Rough set and ANFIS (adaptive neuro-fuzzy inference system) based quantitative analysis method for relation between glass batch and quality

Abstract

The invention provides a rough set and ANFIS (adaptive neuro-fuzzy inference system) based quantitative analysis method for the relation between glass batch and quality, belongs to the fields of automatic control, information technology and advanced manufacturing, and particularly relates to a rough set and ANFIS based quantitative analysis method used for improving quality of finished glass products. The method is characterized by comprising the following steps: firstly, generating glass batch ingredient-quality data pair sample library on the basis of historical production data, establishing a fuzzy information system based on fuzzy relation, simplifying the fuzzy information system on the basis of a rough set to determine inputting of a quantitative relation model between glass batch ingredients and finished product quality; and establishing the quantitative relation model between the glass batch ingredients and the finished product quality by adopting the ANFIS on the basis of analysis of a lag time constant for the glass batch ingredients and glass quality. The method can be used for analyzing the quantitative relation between the glass batch ingredients and the finished product quality, so that the batch ingredients are optimized, and the quality of the finished glass product is improved effectively.

Description

technical field [0001] The invention belongs to the fields of automatic control, information technology and advanced manufacturing. Background technique [0002] Glass is an amorphous solid obtained by cooling and hardening the melt. Glass batch materials are made by mixing main raw materials and auxiliary raw materials in a certain proportion. The main raw materials determine the physical and chemical properties of glass, such as silica sand and silica rock. The auxiliary raw materials can make the glass obtain certain necessary properties or accelerate The melting process of glass, such as clarifying agent, flux, etc. [0003] The composition of glass batch materials is one of the important factors affecting the quality of glass products, mainly due to several factors: 1) the degree of agreement between the composition content of glass batch materials and the material recipe; 2) the redox index of batch materials, the chemical requirements of raw materials Oxygen content...

AI Technical Summary

Problems solved by technology

[0004] In order to solve the problem of quantitative analysis of glass batch materials and glass product quality, thereby optimizing the composition of batch materials and improving the quality of glass products, this invention proposes a method based on the combination of fuzzy rough sets and ANFIS to establish a quantitative relationship model between glass batch materials and finished product quality. Said method is realized on the computer according to the following steps successively:

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