Blast furnace condition identification method and system based on fuzzy clustering

Abstract

The invention discloses a blast furnace condition identification method and system based on fuzzy clustering, and the method comprises the steps of firstly, determining the cooling wall temperature and the gas utilization rate as the furnace condition division parameters from the perspective of edge cooling wall stability and energy consumption; setting four different types of furnace conditions according to the actual production requirements; calculating the membership values of different types of cooling wall temperature parameters based on a fuzzy clustering method, and determining the type of the sample according to the membership values; and finally, dividing the gas utilization rate by adopting a dynamic threshold updating method; and determining the final furnace condition category according to the division result and one of the four furnace conditions. By the adoption of the method, the blast furnace parameters can be effectively divided at the aspects of furnace condition stability and energy consumption, and the real-time identification of the blast furnace condition can be achieved.

Description

technical field [0001] The invention relates to the field of blast furnace ironmaking, in particular to a method and system for identifying blast furnace conditions based on fuzzy clustering. Background technique [0002] The iron and steel industry is an important part of my country's national economy. It is widely involved in the core industries of national development such as construction, energy, automobiles, and infrastructure. It is a strong support for my country to achieve a well-off society and build an economically powerful country. In the past few decades, under the strong demand of comprehensive economic construction, my country's steel industry has developed rapidly, and it is in an international leading position in the production and consumption of steel products. But on the whole, there is still a big gap between my country's iron and steel production technology and the international ones, especially the degree of automation in the iron and steel smelting proc...

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is that in the prior art, in the blast furnace production process, the operator's recognition of the blast furnace condition is often not timely and accurate, and it is difficult to give reasonable material distribution parameters. Blast Furnace Status Recognition Method and System Based on Clustering

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