CN-122024894-A - Method for predicting phosphorus content in dry quenching chemical coke, electronic equipment and storage medium

Abstract

The application discloses a prediction method, electronic equipment and storage medium for phosphorus content in dry quenching chemical coke, wherein the prediction method comprises the steps of obtaining coal ash component data of at least one single coal, calculating to obtain total phosphorus content of each single coal according to phosphorus pentoxide content in the coal ash component, obtaining industrial analysis ash data of each single coal, obtaining ash content of each single coal, establishing a Jiao Huifen coefficient model of each single coal to predict single coal coke ash, calculating to obtain total phosphorus of coke formed by the single coal based on the total phosphorus content of the single coal and the ash content of the single coal, calculating to obtain total phosphorus content of coke formed by the single coal according to the blending proportion of each single coal in a target coal blending scheme and the total phosphorus content of the coke ash formed by the corresponding single coal, and calculating to obtain the total phosphorus content of the coke formed by the coal blending scheme through weighting calculation and combination of calibration coefficients. The method can accurately predict the phosphorus content of different coal blending schemes after coking in advance, and avoid the problems of lag in detection data, high chemical industry coke phosphorus content and instability.

Inventors

• Dang Yanbao
• KE YANG
• ZHAO FUJUN

Assignees

• 宁夏宝丰能源集团焦化二厂有限公司

Dates

Publication Date

20260512

Application Date

20260128

Claims (10)

1. 1. A method for predicting the phosphorus content in dry quenching chemical coke is characterized by comprising the following steps: Acquiring coal ash component data of at least one single coal, and calculating to obtain the total phosphorus content P of each single coal according to the content of phosphorus pentoxide in the coal ash component; Acquiring industrial analysis ash data of various single coals, acquiring ash contents Ad of the various single coals through a coking test, and establishing a Jiao Huifen coefficient model of the single coals based on the ash contents Ad of the various single coals so as to predict ash contents Adi of the single coals; Calculating to obtain total phosphorus Pi of coke formed by the single coal based on the total phosphorus content P of the single coal and ash content Adi of the coke formed by the single coal; According to the blending proportion W i of each single coal in the target coal blending scheme and the total phosphorus content Pi in the coke ash after the single coal is coked, calculating and obtaining the total phosphorus content P Total (S) in the dry quenching chemical coke after the coal blending scheme is coked through weighting calculation and combining with the calibration coefficient A.
2. 2. The prediction method according to claim 1, wherein the total phosphorus content P of the single coal is obtained by the following formula: Content of p=phosphorus pentoxide 0.437; Wherein 0.437 is the mass ratio of phosphorus element in phosphorus pentoxide.
3. 3. The prediction method according to claim 2, wherein the single coal coke ash Adi is obtained by the following formula: Single coal coke ash adi=single coal ash Ad K; Where K is the coal yield Jiao Huifen coefficient of the single coal as determined by the coke formation test fit.
4. 4. The prediction method according to claim 3, wherein the forming Jiao Huifen coefficient K is obtained by detecting a plurality of single coal samples through a 40Kg small coke oven test and fitting according to the correspondence between the industrial analysis ash of each single coal and the ash after forming coke.
5. 5. The prediction method according to claim 4, wherein the Jiao Huifen coefficients K are obtained by the following formula: ; wherein Vdaf is a single coal volatile.
6. 6. The prediction method according to claim 3 or 4, wherein the single-coal coke-forming total phosphorus Pi is obtained by the following formula: Pi=P Adi。
7. 7. The prediction method according to claim 1, wherein the total phosphorus content P Total (S) in the post-coke dry quenching chemical coke is obtained by the following formula: ; wherein A is a calibration coefficient obtained by actual production data calibration.
8. 8. The prediction method according to claim 7, wherein the calibration factor a is determined by: collecting actual production data of a plurality of historical coal blending schemes, and obtaining actual coke forming total phosphorus content detection values corresponding to the schemes; Predicting and calculating to obtain P Total (S) of total phosphorus content in the dry quenching chemical coke according to each historical coal blending scheme; And carrying out linear regression analysis on the actual detection value and the predicted calculation value, and determining the best fitting coefficient between the actual detection value and the predicted calculation value as the calibration coefficient A.
9. 9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor, when executing the program, implements a method for predicting the phosphorus content in dry quenched chemical coke according to any of claims 1 to 8.
10. 10. A computer-readable storage medium, on which a computer program is stored, characterized in that the program, when executed by a processor, implements a method for predicting the phosphorus content in dry quenched chemical coke according to any of claims 1 to 8.

Description

Method for predicting phosphorus content in dry quenching chemical coke, electronic equipment and storage medium Technical Field The present application relates generally to the field of coking process technology. More particularly, the application relates to a method for predicting the phosphorus content in dry quenching chemical coke, electronic equipment and a storage medium. Background The dry quenching chemical coke is an important carbonaceous reducing agent and a heating agent for producing high-carbon ferrochrome, high-silicon ferroalloy, high-carbon ferromanganese and other high-end ferroalloys. These downstream smelting processes have extremely stringent requirements on the phosphorus (P) content in the chemical coke, since phosphorus is a detrimental impurity that is very easily reduced into the alloy during the smelting process, severely affecting the cold shortness and workability of the final steel. For example, in high-silicon ferroalloy smelting, phosphorus pentoxide in coke ash can be reduced into ferrosilicon to reduce the purity of products, and in high-carbon ferromanganese smelting in a blast furnace, the phosphorus content of the coke is severely limited because of large coke adding amount, relatively low furnace temperature and less volatilization of phosphorus elements, and most of phosphorus elements can be transferred into the alloy. At present, the control of the dry quenching chemical phosphorus content in the industry mainly depends on two modes, namely, a so-called low-phosphorus coal blending scheme is formulated by manual experience, the scientific basis of a system is lacked, the prediction accuracy is poor, and quantitative evaluation cannot be performed. Secondly, after coke is produced, the actual data of the phosphorus content is obtained by a chemical detection method. The former is limited by experience and instability, so that the continuous stability of the product quality is difficult to ensure, and the optimal balance point between the standard of the phosphorus content and the cost of the raw materials cannot be found. The latter has serious hysteresis, when the detection result is unqualified, the whole batch of coke is produced, and can only be treated as unqualified products or sold at a reduced price, so that huge economic loss and resource waste are caused. In view of the foregoing, it is desirable to provide a method, an electronic device and a storage medium solution for predicting the phosphorus content of a dry quenched chemical coke, so as to accurately predict the phosphorus content of the coke before blending the coal, thereby guiding optimization of the coal blending solution. Disclosure of Invention In order to solve at least one or more of the technical problems mentioned above, the present application provides, in various aspects, a method, an electronic device, and a storage medium solution for predicting the phosphorus content of coke in dry quenched chemical coke before blending the coal. In a first aspect, the application provides a method for predicting phosphorus content in dry quenching chemical coke, which comprises the following steps of obtaining coal ash component data of at least one single coal, calculating to obtain total phosphorus content P of each single coal according to phosphorus pentoxide content in the coal ash component, obtaining industrial analysis ash data of each single coal, obtaining each single coal ash Ad through a coking test, establishing a single coal coking ash content Jiao Huifen coefficient model based on the data to predict single coal coking ash content Adi, calculating to obtain single coal coking total phosphorus Pi based on the total phosphorus content P of the single coal and the single coal coking ash Adi, calculating to obtain total phosphorus content P Total (S) in the dry quenching chemical coke after coking according to a target coal blending scheme by weighting calculation and combining a calibration coefficient A according to the blending proportion W i of each single coal and the total phosphorus content Pi in the coke ash after coking of the single coal. In some embodiments, the total phosphorus content P of the individual coals is obtained by the formula P=phosphorus pentoxide content0.437, Wherein 0.437 is the mass ratio of phosphorus element in phosphorus pentoxide. In some embodiments, the single coal char ash Adi is obtained by the formula adi=adK, wherein K is the coefficient Jiao Huifen of the single coal determined by the coking test fitting. In some embodiments, the Jiao Huifen coefficient K is obtained by detecting a plurality of single coal samples through a 40Kg small coke oven test and fitting the corresponding relation between the industrial analysis ash content of each single coal and the ash content after coking. In some embodiments, the Jiao Huifen coefficients K are obtained by the following formula: Wherein Vdaf is a single coal volatile. In some embodiments, the single coal c