Coke quality prediction method in coal silo mode

Abstract

The invention discloses a coke quality prediction method in a coal silo mode. The method comprises the steps of: 1) simulating the running rules of batches of materials in a coal silo so as to establish a mathematical model; 2) inputting material information before the batches of materials enter the coal silo and following the materials until batches of cokes are discharged from a furnace and conveyed into a blast furnace for iron smelting; 3) analyzing material indexes and storage positions in the coal silo in a coal silo coal matching mode according to the material indexes, coking and coke-quenching process information so as to perform an alarming prompt for unqualified materials; 4) automatically predicting the consumption-using time of the unqualified materials and performing coke index prediction according to the mathematical model. According to the method, the logistics trackings of the material dynamic running and an iron pretreatment process, comprising the functions of abnormal material information, high / low storage capacity alarming and the like, are realized. Thus, when abnormal indexes occur, a system prompts automatically, so that the usage of the materials can be adjusted in time by a management worker, the coke quality is adjusted and controlled in advance, and the quality indexes of the cokes are predicted in advance according to the current material indexes, the coking process and other information.

Description

technical field [0001] The invention belongs to the technical field of coal coke quality control in coal chemical industry, and in particular relates to a coke quality prediction method in a coal silo mode. Background technique [0002] At present, most domestic coking plants often have a "traceability management" mode in coal coke quality management due to various conditions, that is, when the coke quality indicators exceed the standard data or the blast furnace production is not smooth, go back to the previous process Carry out inspection and analysis, find out the cause, and make adjustments. There are also some coking enterprises with considerable conditions, have conducted a lot of research and experiments, established a mathematical model for the relationship between coal blending ratio and comprehensive coke strength, and a mathematical model for predicting the quality of blended coal and coke, and can propose a variety of coal blending schemes. And it was applied to...

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Problems solved by technology

Due to the different actual conditions of incoming coal resources and coal blending processes in each coking plant, it is generally difficult to apply them uniformly to industry production practice

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