Low-cost coking coal blending system

Abstract

The invention relates to a low-cost coking coal blending system which can be applied to controlling the precise coal blending and the procurement plan making of a coking plant. In the system, a coal and coke record management module, a coke quality prediction module, a by-product value prediction module and an optimizing coal blending module are tightly combined by a server and a network, real-time update is carried out, and the lowest-net-cost coal blending scheme meeting the coke quality requirements and all technology, warehousing and procurement limiting conditions is automatically obtained by a programming solver method under the limiting conditions such as coal quality, coke quality prediction, coal net price, coal reserve and procurement, thereby precisely controlling the automaticcoal blending system and achieving the purposes of improving and stabilizing the coke quality and reducing the coking cost.

Description

Technical field [0001] The invention relates to a coking coal blending system applied to the field of coking, in particular to a coking coal blending system that realizes low net cost. Background technique [0002] With the development of the global economy, non-renewable resources such as coal have become particularly scarce, and prices have risen rapidly, which has brought huge cost pressures to the steel industry. At the same time, due to the large fluctuations in the quality of domestic coal and the incomplete testing methods, most coking plants can only determine the coal blending ratio through experience and small coke oven experiments, which causes large fluctuations in coke quality and seriously affects the normal operation of blast furnaces. In order to solve the quality problem of coke, domestic scholars have conducted a lot of research on coke quality prediction, but most of them need very comprehensive coal and small coke oven experimental analysis data, the predictio...

AI Technical Summary

Problems solved by technology

At the same time, due to the large fluctuations in domestic coal quality and incomplete detection methods, most coking plants can only determine the coal blending ratio through experience and small coke oven experiments, resulting in large fluctuations in coke quality and seriously affecting the normal operation of the blast furnace

In order to solve the quality problem of co

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