Method for monitoring gas flow development process in blast furnace material distribution period and predicting gas utilization rate

Abstract

The invention discloses a method for monitoring the gas flow development process in the blast furnace material distribution period and predicting the gas utilization rate. The method comprises the first step of data collecting and processing, the second step of infrared image processing, the third step of image feature extraction, the fourth step of material distribution period gas flow distribution dynamic changing model construction, the fifth step of gas flow center feature extraction, the sixth step of image and material surface position calibration, the seventh step of material distribution period gas flow center dynamic change model construction and the eighth step of gas utilization rate prediction model construction. According to the method, collected furnace roof infrared images are treated, the clustering algorithm, the statistics method, the feature recognition technology and the mode recognition technology are utilized for achieving dynamic tracking of the material distribution period gas flow distribution state and falling point distribution of the gas flow center on the material surface, the neural network algorithm is utilized for finding the relation between the material distribution period gas flow development process and the gas utilization rate, real-time prediction of the gas flow utilization rate is achieved, and assistance is provided for intelligent production.

Description

technical field [0001] The invention relates to the field of intelligent production and monitoring in the metallurgical industry, in particular to a method for monitoring the gas flow development process of a blast furnace material distribution cycle and predicting the gas utilization rate. Background technique [0002] Blast furnace ironmaking is a typical "black box" production, which makes it difficult for operators to understand the dynamic changes of gas flow. Each blast furnace has its own best "distribution period" gas flow development process under certain raw material conditions (including the dynamic change process of gas flow distribution and the dynamic change process of gas flow center), and a reasonable "distribution period" gas flow The development process is an important condition to ensure the smooth flow of the blast furnace charge, the normal physical and chemical reactions and the improvement of gas utilization. At present, blast furnace operators mainly...

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Problems solved by technology

[0004] The purpose of the present invention is to solve the problem that it is difficult to track and identify the gas flow development process of the "material distribution period" and the relationship between the gas flow development process and the gas utilization rate is difficult to determine, and to provide a monitoring method for monitoring the gas flow development process of the blast furnace material distribution cycle and intelligent The method of predicting the gas utilization rate; this method realizes the gas flow distribution state and the gas flow center falling on the material surface during the material distribution period by processing the collected furnace top infrared image and using clustering algorithm, statistical method, feature recognition technology and pattern recognition technology. The dynamic tracking of point distribution, and the use of neural network algorithms to mine the relationship between the gas flow development process and the gas utilization rate during the cloth distribution cycle, realize real-time prediction of the gas flow utilization rate, and provide help for the realization of intelligent production; the invention can detect the gas flow in real time Flow development process and forecast gas flow utilization rate, so that the blast furnace material distribution operation can realize online monitoring, visual control and intelligent prediction

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