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The method of predicting quality indexes of metallurgical coke

A coke quality and quality index technology, applied in the field of iron and steel production, can solve the problems of inaccurate prediction of coke strength, inaccurate prediction of coke strength, etc., and achieve the effects of accurate prediction of coke strength, fast calculation and convenient update

Inactive Publication Date: 2019-02-19
HEILONGJIANG JIANLONG CHEM
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Problems solved by technology

[0003] The purpose of this invention is to provide a new method for predicting the quality index of metallurgical coke, using the ash content, volatile matter, colloidal layer maximum thickness (Ymm), and cohesive index (G) of the mixed coal to predict the inaccuracy of the coke strength, increasing the unit The M25 and CSR data of coal coking to predict coke strength and other data solve the problem of inaccurate prediction of coke strength, and the prediction of coke strength is more accurate

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  • The method of predicting quality indexes of metallurgical coke

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Embodiment 1

[0017] A method of predicting the quality index of metallurgical coke

[0018] Step 1: Establish coke quality related database (Excel):

[0019] 1. Database content:

[0020] Production coke quality: mechanical strength M40 or M25, post-reaction strength CSR.

[0021] Coal quality: ash Ad%, volatile Vdaf%, maximum thickness of colloidal layer Ymm, cohesion index G, etc., coal rock distribution.

[0022] Coke quality of mixed coal test: mechanical strength M40 or M25, strength after reaction CSR.

[0023] Single coal quality: M25, CSR, volatile matter Vdaf%, maximum thickness of colloidal layer Ymm, cohesive index G, etc. and the proportion.

[0024] 2. Create a database:

[0025] Collect production data, including coke quality index, blended coal quality index, blended coal test index, main single coal quality index and proportion; requirements: select data content according to the unit's laboratory and test conditions and needs. For example: Some coking plants do not tes...

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Abstract

The invention belongs to the technical field of iron and steel production, in particular to a method for predicting quality indexes of metallurgical coke, which includes: establishing a coke quality data collecting production data; establishing a data correspondence; screening database data; establishing a regression equation of coke quality, and obtaining the partial regression coefficientsm 1, m 2, m 3,... mn and constant b with coke quality as dependent variable y, coal quality index and coal test index, and single coal quality as independent variable x. The application of the prediction equation of coke quality index, the blended coal quality index corresponding to the coke quality index, the single coal quality index and the coal test index can be added or updated. If the data area selected by the LINEST function formula is adjusted, the formula will be updated. According to the actual production situation, the coke quality reacted strength CS or M40 and its related data will be selected. The accuracy of coke quality index prediction is greatly improved due to its fast calculation, convenient update and flexible use.

Description

Technical field: [0001] The invention belongs to the technical field of iron and steel production, and in particular relates to a method for predicting the quality index of metallurgical coke. Background technique: [0002] Now the general method of predicting the quality of coke is to predict the quality index of coke by matching the ash content of coal, volatile matter, maximum thickness of colloidal layer, and cohesive index. Disadvantages: The calculation of the prediction formula is troublesome, and the technical data is scarce, resulting in a large difference between the predicted value and the actual quality index of coke. Now with the increasing number of coal index tests, some coking plants purchase test coke ovens, and some coking plants conduct coke oven single coal tests on single coals and conduct coal rock analysis on single coals. The types and regions of raw coal used in coking plants have expanded. Previous forecasting methods are no longer suitable. The ...

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06G06Q50/02
CPCG06Q10/04G06Q10/06393G06Q10/06395G06Q50/02
Inventor 吴利波颜世广孙福平杨晓飞孟宪斌
Owner HEILONGJIANG JIANLONG CHEM
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