Coke furnace temperature predicting method based on dynamic working conditions in coke furnace heating and burning process

Abstract

The invention discloses a coke furnace temperature predicting method based on dynamic working conditions in a coke furnace heating and burning process. The method is characterized by comprising the following steps: 1, acquiring gas flow and coke furnace temperature data in various historical working conditions, and establishing a sample bank; 2, calculating the similarity of a current working point and a sample in the sample bank on the basis of an included angle of Euclidean distance and variation trend of the current working point and the sample in the sample bank; and 3, selecting a plurality of sample structural learning sets with maximum similarity; establishing a learning-set-based local linear model by adopting an iterative least square method; and calculating an output value corresponding to the current working point as a coke furnace temperature predicted value in the coke furnace heating and burning process. The coke furnace temperature predicting method based on dynamic working conditions in the coke furnace heating and burning process has high prediction accuracy, and has the online adaptive capability.

Description

technical field [0001] The invention belongs to the field of coke oven heating and combustion control, and relates to a coke oven temperature prediction method in the coke oven heating and combustion process based on dynamic working conditions. Background technique [0002] As an important basic raw material and strategic material for the development of my country's national economy and national defense and military industry, steel has been widely used in various industries such as machinery, electronics, building materials, transportation, aerospace, aviation, national defense and military industry, and plays a very important role in the development of the national economy. The coke oven is one of the most important industrial furnaces in the coal chemical industry. It is the key equipment for the production of coke. In the iron and steel industry, the quality of coke directly affects the production cost, product quality and the growth of the economic benefits of the enterpr...

AI Technical Summary

Problems solved by technology

However, the global modeling method generally has problems such as long learning time, poor generalization ability, and difficulty in updating the model online.

The heating and combustion process of the coke oven is a complex heat transfer and chemical change process. The structure of the coke oven body is complex, the operating environment is harsh, the detection methods are few, and the working conditions are changeable. It is very difficult to establish a process model using the global modeling method.

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