Adjustment method of glass furnace air-fuel ratio based on iterative learning of variable universe fuzzy rules
A technology of glass furnace and theoretical air-fuel ratio, applied in the direction of control/adjustment system, instrument, adaptive control, etc., which can solve problems such as combustion efficiency, energy consumption, exhaust gas emissions, and adverse effects of glass product quality
Active Publication Date: 2019-09-20
TSINGHUA UNIV +1
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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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[0071] The dispatching method of the present invention relies on the relevant data acquisition system, and is realized by a modeling client and a modeling server. The schematic diagram of the hardware and software architecture of the present invention applied in the actual glass furnace is as follows: figure 1 As shown, the embodiments of the present invention are as follows.
[0072] Step (1): Initialize, set the following basic variables
[0073] Set the problem variables:
[0074] x 1 (t): natural gas flow rate at time t
[0075] x 2 (t): Combustion air flow at time t
[0076] y(t): Oxygen content of flue gas at time t
[0077] [y min ,y max ]: Range of flue gas oxygen content setting value
[0078] △C: Air-fuel ratio adjustment amount
[0079] C: actual air-fuel ratio
[0080] CT: theoretical air-fuel ratio
[0081] CGas: Calorific value of natural gas
[0082] Step (2): Data Acquisition
[0083] Collect one or more production shifts including the above natur...
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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...
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IPC IPC(8): G05B13/04
Inventor 刘民崔兴华董明宇张龙张亚斌刘涛
Owner TSINGHUA UNIV