Blast furnace burden distribution optimization method based on mode recognition and expert system as well as system
A pattern recognition and expert system technology, which is applied in the field of blast furnace material distribution optimization and large-scale blast furnace process control, can solve the problems of limiting the speed and quality of expert system development for material distribution control, restricting blast furnace production efficiency and capacity, and low learning and maintenance capabilities. Achieve the effect of improving learning and maintenance ability, improving gas utilization rate, improving speed and quality
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[0027]Below in conjunction with accompanying drawing and specific embodiment the present invention is described in further detail:
[0028] Such as figure 1 The shown optimization method of blast furnace material distribution based on pattern recognition and expert system includes the following steps:
[0029] S1. Construct condition case base: Construct pattern recognition of airflow distribution in blast furnace, pattern recognition of furnace type change and pattern recognition of blast furnace condition;
[0030] In the above S1: Constructing the pattern recognition of the airflow distribution: Obtain the 6-month airflow distribution data from the database, use the temperature of the blast furnace riser tube or the infrared measurement image of the furnace top as the measurement data of the airflow distribution, and use the pattern recognition technology to map the furnace top Airflow changes are divided into 25 categories (or 36, 49 categories);
[0031] Construct the p...
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