Method for calculating thermal property of coke and control method therefor

Abstract

This invention relates ti coke heat quality preprocess and control method. First enterprise coal using history is analyzed to get coal resource database information and certain coal caking capacity and evaluation information to coke quality contribution. Expert system knowledge base is built, it relates to coal resource situation, coal blending and coking technique, transportation, coke quality goal, coal blending cost etc. each single coal using constraint condition is ensured according to the knowledge base, optimization coal blending ratio is ensured by using nonlinear planning and simulation evolution algorithm. Coke quality predicted value under optimization match is predicted by coke quality prediction model to produce optimization coal ratio, coal blending slot operation is auto controlled by computer to correct control model according to practical production. This method can solve the problems in coking coal resource effective using, coke heat control and low cost coal blending.

Description

technical field [0001] The invention belongs to the technical field of coal chemical industry, and in particular relates to coal resource allocation and coke quality prediction in coking production, especially a method for predicting and controlling thermal properties of coke. Background technique [0002] Coking production generally consists of three to five or more single types of coal blended and then subjected to high-temperature carbonization to obtain blast furnace coke with certain quality requirements. The coke used for blast furnace smelting usually only has certain requirements for its ash content, sulfur content, mechanical strength and other indicators. The intensified operations such as blast furnace enlargement and pulverized coal injection put forward new requirements for the thermal properties of coke. The existing coke quality control method is to guide coking coal blending with coal quality index, supplemented by small coke oven coking test, the accuracy of...

AI Technical Summary

Problems solved by technology

The above-mentioned coke quality control methods are relatively primitive and extensive: firstly, for most coking enterprises, the single type of coal entering the plant is itself a mixed coal, and the quality of these coals fluctuates greatly; secondly, the coal quality index only reflects the quality of the coal. The nature of some aspects, there is no one or two coal quality indicators that can be directly linked to the quality of coke produced by coal blending; third, although the domestic coking coal variety is complete, the coal quality structure is unreasonable, and there is a shortage of high-quality coking coal. Relatively more high volatile and weak caking coal

[0003] Most of the existing coke quality prediction models at home and abroad are limited to ash content, sulfur content, and cold strength, and do not reflect the effective use of coking coal resources, coke thermal property control, and low-cost coal blending.

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