CN112871431A - Coal dressing method for optimizing raw coal ratio through H-R curve - Google Patents
Coal dressing method for optimizing raw coal ratio through H-R curve Download PDFInfo
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B03—SEPARATION OF SOLID MATERIALS USING LIQUIDS OR USING PNEUMATIC TABLES OR JIGS; MAGNETIC OR ELECTROSTATIC SEPARATION OF SOLID MATERIALS FROM SOLID MATERIALS OR FLUIDS; SEPARATION BY HIGH-VOLTAGE ELECTRIC FIELDS
- B03B—SEPARATING SOLID MATERIALS USING LIQUIDS OR USING PNEUMATIC TABLES OR JIGS
- B03B5/00—Washing granular, powdered or lumpy materials; Wet separating
- B03B5/28—Washing granular, powdered or lumpy materials; Wet separating by sink-float separation
- B03B5/30—Washing granular, powdered or lumpy materials; Wet separating by sink-float separation using heavy liquids or suspensions
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Abstract
The invention discloses a coal dressing method for optimizing raw coal proportion through an H-R curve, which comprises the following steps: setting the quality of clean coal, and obtaining an H-R curve of each raw coal by using a float-sink test; obtaining a proportioning set of each raw coal under each floating and sinking density through an H-R curve according to the set quality of the clean coal; and calculating the cost of each raw coal combination in the matching set to obtain the matching of each raw coal with the lowest cost and the corresponding float-sink density. The invention can effectively reduce the raw coal cost on the premise of ensuring the quality of the clean coal.
Description
Technical Field
The invention relates to the technical field of raw coal proportioning selection, in particular to a coal dressing method for optimizing raw coal proportioning through an H-R curve.
Background
The H-R curve is generally only used for judging the difficulty level of washing and dressing and is irrelevant to the quality calculation of washed clean coal, coal washing enterprises always search for a raw coal shuffling ratio through manual experience and repeated manual calculation, and the method is complex in calculation, poor in precision and incapable of meeting the requirements of high-requirement coal enterprises on the quality of the washed clean coal.
Disclosure of Invention
The invention aims to provide a coal dressing method for optimizing the raw coal proportion through an H-R curve, so as to overcome the defects in the prior art.
In order to achieve the technical purpose, the technical scheme of the invention is realized as follows:
a coal dressing method for optimizing raw coal proportioning through an H-R curve comprises the following steps:
1) setting the quality of clean coal, and obtaining an H-R curve of each raw coal by using a float-sink test;
2) obtaining a proportioning set of each raw coal under each floating and sinking density through an H-R curve according to the set quality of the clean coal;
3) and calculating the cost of each raw coal combination in the matching set to obtain the matching of each raw coal with the lowest cost and the corresponding float-sink density.
Furthermore, the individual raw coal proportion is finely adjusted according to the storage condition of each raw coal on site and each raw coal proportion with the lowest cost obtained by calculation.
Further, in the step 2), a mixture ratio set of each raw coal at each floating and sinking density is obtained through a weighting method.
The invention has the beneficial effects that: the invention can effectively reduce the raw coal cost on the premise of ensuring the quality of the clean coal.
Drawings
FIG. 1 is a flow chart of a method of the present invention;
FIG. 2 is a H-R diagram of raw coal.
Detailed Description
The technical solution in the embodiments of the present invention is clearly and completely described below with reference to the drawings in the embodiments of the present invention.
As shown in fig. 1, a coal preparation method for optimizing raw coal blending ratio by H-R curve according to an embodiment of the present invention includes the following steps:
step 1: and setting the quality of the clean coal, and obtaining the H-R curve of each raw coal by using a float-sink test. The quality parameters of the clean coal include CSR (thermal reaction strength), V (ash), S (sulfur), calorific value, V (volatile matter), G (caking index), Y (stratum corneum thickness), etc., and it can be known to those skilled in the art that in practical application, engineers can select specific quality parameters according to actual needs.
The sink-float test comprises:
1. weighing a certain amount of coal A into a liquid with the density of 1.3, respectively fishing out the coal floating on the liquid surface and the coal sinking below the liquid, drying and weighing the amount a1 of the coal floating on the liquid surface, simultaneously testing the ash content b1 of the coal, and filling the values a1/A and b1 in the following table 2;
2. taking out the coal which sinks below in the step 1 and then putting the coal into liquid with the density of 1.4, wherein part of the coal also floats above and part of the coal sinks below, drying and weighing the quantity a2 of the coal which floats above, simultaneously testing the ash content b2 of the coal, and filling the values of a2/A and b2 in the following table; by analogy, the filling and generation of data in table 2 are completed according to the model of table 1, wherein the blank space without the background color part in table 1 is filled with the data obtained by the test, and the blank space with the background color part is automatically produced by the formula.
TABLE 1
TABLE 2
3. The table of the calculation of the selectable curves of the raw coal generated from the float-sink experimental table of the raw coal is shown in table 3:
TABLE 3
4. The H-R curve of the raw coal generated on the graph according to the alternative curve calculation table of the raw coal is shown in FIG. 2.
Step 2: and (3) obtaining a proportioning set of each raw coal under each floating and sinking density through an H-R curve according to the set clean coal quality, wherein a specific calculation formula is as follows:
ad ═ raw coal 1 ratio · raw coal 1 float yield · raw coal 1 float cumulative Ad + raw coal 2 ratio · raw coal 2 float cumulative Ad + …
St, d ═ raw coal 1 ratio:rawcoal 1 float yield:rawcoal 1 cleaned coal St, d + raw coal 2 ratio:rawcoal 2 float yield:rawcoal 2 cleaned coal St, d + …
Model of CSR 70-0.8 ∑ Vdaf +0.1 ∑ G-4.3 ∑ mci
Σ Vdaf ═ raw coal 1(Vdaf) + raw coal 2
Σ G ═ raw coal 1(G) + raw coal 2 ═ raw coal 2(G) + raw coal 3 ═ raw coal 3(G) + … … ═ raw coal 1-
Σ mci ═ raw coal 1(mci) + raw coal 2 ═ raw coal 2(mci) + raw coal 3 ═ raw coal 3(mci) + … …
Wherein Ad is ash in the target value; st and d are sulfur content in the target value, and Vdaf and G are coal quality detection data; mci shows ash component detection data.
And step 3: and calculating the cost of each raw coal combination in the matching set to obtain the matching of each raw coal with the lowest cost and the corresponding float-sink density.
In a specific embodiment, the individual raw coal proportion is finely adjusted according to the stock condition of each raw coal on site and the calculated lowest-cost raw coal proportion.
The invention also discloses a specific application example of the coal dressing method for optimizing the raw coal ratio through the H-R curve.
Example 1:
the first step is as follows: setting target quality: csr is more than or equal to 60, ash content is less than or equal to 12, and sulfur is less than or equal to 1.0G and more than or equal to 88.
The second step is that: selecting a coal source, wherein the site coal source is shown in table 4:
TABLE 4
The third step: optimizing calculations
The optimization principle is as follows:
optimization is relative, conditional, and is the optimal ratio for a certain period and range of time, meeting a certain target or goal. Firstly, placing all coal sources to be screened into an optimization area, setting limiting conditions of related factors, reasonably distributing weights of factors such as sulfur, volatile components, ash content and water content to establish a plurality of linear functions to form an optimal solution area aiming at whether all indexes of finally mixed clean coal meet requirements, selecting and designing schemes obtained by different proportions of all the coal sources under different flotation densities, establishing cost required by objective function evaluation of all the schemes, and comparing and deciding to obtain an optimal solution under the lowest cost, namely an optimal scheme.
The following optimal solutions were obtained by performing optimization calculations, as shown in table 5:
TABLE 5
Namely the optimal mixture ratio is as follows: raw coal 2, raw coal 3 and raw coal 4 are 17: 23: 60; the optimal washing density is as follows: 1.38; and (3) recovery rate: 23.6 percent; cost price: 1100, 1100; indexes of clean coal washing: ad (ash): 11.39, St, d (sulfur): 1, G: 88.08, CSR: 66.48.
the fourth step: according to the on-site inventory condition, the individual coal source proportion is finely adjusted,
the on-site stock of the raw coal 4 can only reach 50 percent, the proportion of the raw coal 4 can be limited to 50, the model optimization calculation is carried out again, and the following results are obtained as shown in the table 6:
TABLE 6
The optimal proportion is as follows: the ratio of raw coal 2 to raw coal 3 to raw coal 4 is 11: 39: 50, the cost is increased to 1174, and the quality index is unchanged.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (3)
1. A coal dressing method for optimizing raw coal proportioning through an H-R curve is characterized by comprising the following steps:
1) setting the quality of clean coal, and obtaining an H-R curve of each raw coal by using a float-sink test;
2) obtaining a proportioning set of each raw coal under each floating and sinking density through an H-R curve according to the set quality of the clean coal;
3) and calculating the cost of each raw coal combination in the matching set to obtain the matching of each raw coal with the lowest cost and the corresponding float-sink density.
2. The method of claim 1, wherein the individual raw coal ratios are fine-tuned based on-site stock status of each raw coal and the calculated lowest cost raw coal ratios.
3. The method according to claim 1, wherein the ratio set of each raw coal at each float-sink density is obtained in step 2) by a weighting method.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| GB737842A (en) * | 1952-11-26 | 1955-10-05 | Stamicarbon | Improvements in or relating to the washing of coal |
| AU1050092A (en) * | 1991-01-30 | 1992-08-06 | Broken Hill Proprietary Company Limited, The | A method of beneficiating coal |
| CN105956744A (en) * | 2016-04-20 | 2016-09-21 | 淮南矿业(集团)有限责任公司 | Multi-mine raw coal blending analysis system and coal blending analysis method thereof |
| CN110728073A (en) * | 2019-10-23 | 2020-01-24 | 北京黑色智慧科技有限公司 | Multi-objective optimization method for coal washing and blending |
| CN111647414A (en) * | 2020-06-16 | 2020-09-11 | 攀钢集团西昌钢钒有限公司 | Method for adjusting starting current of tamping coke oven by controlling coal proportion |
| CN112001117A (en) * | 2020-07-23 | 2020-11-27 | 大连智慧海洋软件有限公司 | Coking single coal proportioning optimization method |
-
2021
- 2021-02-19 CN CN202110188189.1A patent/CN112871431A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| GB737842A (en) * | 1952-11-26 | 1955-10-05 | Stamicarbon | Improvements in or relating to the washing of coal |
| AU1050092A (en) * | 1991-01-30 | 1992-08-06 | Broken Hill Proprietary Company Limited, The | A method of beneficiating coal |
| CN105956744A (en) * | 2016-04-20 | 2016-09-21 | 淮南矿业(集团)有限责任公司 | Multi-mine raw coal blending analysis system and coal blending analysis method thereof |
| CN110728073A (en) * | 2019-10-23 | 2020-01-24 | 北京黑色智慧科技有限公司 | Multi-objective optimization method for coal washing and blending |
| CN111647414A (en) * | 2020-06-16 | 2020-09-11 | 攀钢集团西昌钢钒有限公司 | Method for adjusting starting current of tamping coke oven by controlling coal proportion |
| CN112001117A (en) * | 2020-07-23 | 2020-11-27 | 大连智慧海洋软件有限公司 | Coking single coal proportioning optimization method |
Non-Patent Citations (1)
| Title |
|---|
| 刘文轩: ""大同侏罗系煤和石炭二叠系煤配煤入选的探讨"", 《煤炭工程》 * |
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