Glass furnace air-fuel ratio adjustment method based on variable universe fuzzy rule iterative learning

Abstract

The invention relates to a glass furnace air-fuel ratio adjustment method based on variable universe fuzzy rule iterative learning, which belongs to the field of advanced manufacturing, automation and information. The method is characterized in that: firstly, a data-driven smoke oxygen content index prediction model is built, the input variable is an air-fuel ratio and the output variable is a smoke oxygen content. Meanwhile, on the basis of analyzing a chemical reaction mechanism during a glass furnace combustion process, a fuel thermal value serves as the input, a mechanism model for calculating the theoretical value of the air-fuel ratio is built, and the air-fuel ratio theoretical value acquired by the mechanism model is used for limiting the input value of the above data-driven smoke oxygen content index prediction model. On the basis of smoke oxygen content index prediction, an air-fuel ratio adjustment method based on variable universe fuzzy rule iterative learning is provided and a constraint satisfaction harmony search algorithm is provided for carrying out iterative learning on the variable universe fuzzy rule. When the method of the invention is applied to a glass production process, the furnace combustion condition can be effectively improved.

Description

technical field [0001] The invention belongs to the fields of advanced manufacturing, automation and information, and in particular relates to a method for iteratively adjusting the air-fuel ratio of a glass kiln. Background technique [0002] The combustion control of the glass furnace plays an important role in improving the combustion efficiency of the furnace, reducing energy consumption, reducing exhaust gas emissions, and improving the quality of glass products. It is the basis for achieving efficient control of the temperature and pressure of the glass furnace. Certainty is the core content of combustion control. In the actual glass production process in my country, the air-fuel ratio of the kiln is often set at a fixed value, but due to the frequent changes in the production conditions such as the calorific value of natural gas and the temperature of the combustion air, the combustion control based on the fixed value air-fuel ratio will affect the combustion efficien...

AI Technical Summary

Problems solved by technology

In the actual glass production process in my country, the air-fuel ratio of the kiln is often set at a fixed value, but due to the frequent changes in the production conditions such as the calorific value of natural gas and the temperature of the combustion air, the combustion control based on the fixed value air-fuel ratio will affect the combustion efficiency, Energy consumption, waste gas emissions, glass product quality and other indicators have adverse effects

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