CN111738580B - Anshan type iron ore blending optimization method - Google Patents
Anshan type iron ore blending optimization method Download PDFInfo
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- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 title claims abstract description 32
- 238000000034 method Methods 0.000 title claims abstract description 23
- 229910052742 iron Inorganic materials 0.000 title claims abstract description 16
- 238000002156 mixing Methods 0.000 title claims description 23
- 238000005457 optimization Methods 0.000 title abstract description 6
- 238000004519 manufacturing process Methods 0.000 claims abstract description 11
- 230000002068 genetic effect Effects 0.000 claims abstract description 9
- 239000012141 concentrate Substances 0.000 claims abstract description 6
- 238000009533 lab test Methods 0.000 claims abstract description 4
- CWYNVVGOOAEACU-UHFFFAOYSA-N Fe2+ Chemical compound [Fe+2] CWYNVVGOOAEACU-UHFFFAOYSA-N 0.000 claims abstract description 3
- 229910052500 inorganic mineral Inorganic materials 0.000 claims description 9
- 239000011707 mineral Substances 0.000 claims description 9
- 238000004364 calculation method Methods 0.000 claims description 6
- 239000002245 particle Substances 0.000 claims description 4
- 238000009826 distribution Methods 0.000 claims description 3
- 230000005251 gamma ray Effects 0.000 claims description 2
- 238000000605 extraction Methods 0.000 abstract 1
- 239000011159 matrix material Substances 0.000 description 8
- 238000002360 preparation method Methods 0.000 description 6
- 238000009472 formulation Methods 0.000 description 3
- 238000005065 mining Methods 0.000 description 3
- 239000000203 mixture Substances 0.000 description 3
- 230000007547 defect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 239000002184 metal Substances 0.000 description 1
- 229910052751 metal Inorganic materials 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
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- G—PHYSICS
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/15—Correlation function computation including computation of convolution operations
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/12—Computing arrangements based on biological models using genetic models
- G06N3/126—Evolutionary algorithms, e.g. genetic algorithms or genetic programming
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/02—Agriculture; Fishing; Mining
Abstract
The invention relates to a saddle mountain type iron ore proportioning optimization method, which is characterized by establishing a proportioning objective function taking the deviation absolute value of the average grade of raw ore at each ore outlet point of a stope and the given grade alpha of the raw ore and the ore dressing index of each ore outlet point as independent variables, solving the proportioning objective function by adopting a genetic algorithm, outputting the raw ore quality to a concentrating mill to obtain an optimized proportioning scheme, so as to reduce the fluctuation of ore dressing production indexes caused by the fluctuation of the raw ore quality, and simultaneously reduce the shoveling cost of the stope, thereby realizing scientific and reasonable proportioning of the stope, and specifically comprising the following steps: 1. selecting n ore samples of n ore extraction points of open-pit iron ore, performing laboratory tests on the ore samples according to the technological process of a concentrating mill to obtain raw ore grade, ferrous grade, granularity of an ore grinding product, concentrate grade and concentrate yield indexes of each ore sample, establishing an ore matching objective function, solving the ore matching objective function by adopting a genetic algorithm, and outputting an optimal ore matching scheme.
Description
Technical Field
The invention belongs to the technical field of ore blending between mining and ore dressing, and particularly relates to a Anshan type iron ore blending optimization method.
Background
In the production of iron ore, concentrating mills require a stope to provide raw ore of stable quality to ensure stable production of the concentrating mill. In order to meet the quality requirements of the concentrating mills on raw ores, ores at each ore outlet point are subjected to ore proportioning. In the current practical mining production of most domestic mines, only the index of the grade of raw ores is used as the basis for evaluating the quality of the ores, and most ore proportioning work adopts a manual calculation method, and high-grade and low-grade ores are mixed and then conveyed to a concentrating mill for crushing and sorting. However, from the view point of the ore dressing production process flow, the ore quality is evaluated not only by the grade of the raw ore, but also by introducing the ore selectivity as an evaluation index, and the ore selectivity of each ore outlet point is different, so that in the ore dressing production, the ore dressing method only according to the grade of the raw ore is not scientific, the production operation is easy to be difficult, the ore dressing process parameters are difficult to control, and the fluctuation of the production index is caused. Therefore, in order to ensure stable production of the concentrating mill, the problem of scientifically and reasonably proportioning ores is always plagued by mining technicians. As taught in the university of martial arts Ke Lihua, the current state of the art of mineral formulation optimization and the development trend, two main reasons for the difficulty in solving the mineral formulation problem are: 1. the ore proportioning flow is complex, the factors influencing the ore quality are excessive, and the practical application difficulty is high; 2. in the technical targets selected by the ore blending method at present, the control of ore quality is generally evaluated by only referring to the ore grade or metal quantity, and a single standard is used as the sole ore blending basis, so that the method has the defects that the technical index reference of processing ores at each ore outlet point with different quality by adopting the process flow of an ore dressing plant is lacked, and further improvement is needed.
Disclosure of Invention
The invention aims to provide a method for preparing the Anshan-type iron ore, which is characterized in that an ore preparation objective function taking the average grade deviation of each ore outlet point and the ore preparation index of each ore outlet point of a stope as independent variables is established, and the ore preparation objective function is solved by adopting a genetic algorithm, so that an optimized ore preparation scheme is obtained, the fluctuation of ore preparation production indexes caused by the fluctuation of raw ore quality is reduced, and the scientific and reasonable ore preparation of the stope is realized.
The invention aims at realizing the following technical scheme:
the invention discloses an optimization method for preparing Anshan type iron ore, which is characterized by comprising the following steps of:
step one, selecting n ore samples n which are more than or equal to 2 from n ore points of open-air iron ore;
step two, laboratory tests are carried out on the n selected ore samples according to the technological process of the concentrating mill, and the relevant parameters of the raw ore at n ore removal points are obtained as follows: alpha j Raw ore grade of the jth ore outlet point,%; f (f) j Ferrous grade,%; d, d j The particle size of the ground ore product at the j-th ore outlet point, namely the content of-200 meshes,%; beta j Concentrate grade for j-th ore outlet,%; gamma ray j Concentrate yield,%; j=1, 2,3 … … n;
step three, establishing a mineral matching objective function, and selecting constraint conditions;
and step four, solving the ore blending objective function by adopting a genetic algorithm and outputting an ore blending scheme.
The third step specifically comprises the following steps:
s3.1, establishing a mineral distribution objective function
The ore blending objective function is composed of two polynomial functions as shown in formula (1):
F(X)＝min[Z(x)+Q(x)] (1)
in the formula (1), Z (x) represents the absolute value of the deviation between the average grade of the raw ore and the given grade alpha of the raw ore at n ore-drawing points. As shown in formula (2):
wherein alpha is given raw ore grade,%; x is x j Representing the amount t of ore provided by the jth ore withdrawal;
the Q (x) in the formula (1) is the ore quality index C of the ore output by n ore outlet points j And x j The negative value of the product sum is as shown in equation (3):
wherein, the ore quality index C j According to the data obtained in the second step, the data is obtained through calculation of a formula (4), and the formula (4) is as follows:
wherein, C is more than or equal to 1 j ≤100；C j The value represents the raw ore quality index of the jth ore outlet point, C j Higher values indicate higher raw ore quality;
s3.2, setting constraint conditions as follows:
1) Open air iron ore crushing plant capacity y, (t/d);
2) Minimum ore yield w of jth ore yield point j ，(t/d)，j＝1，2，3……n；
3) Maximum ore yield W of jth ore yield point j ，(t/d)，j＝1，2，3……n；
The fourth step adopts a genetic algorithm to solve the ore blending objective function, and specifically comprises the following steps:
s4.1, inputting basic parameters as follows: n, alpha j 、f j 、d j 、β j 、γ j 、x j 、y、w j 、W j And α, j=1, 2,3 … … n;
s4.2, initializing population to obtain corresponding ore feeding matrix X z (z=, 1,2,3,4 … R, R is the number of iterations), the initial matrix is input in random form, the input argument needs to satisfy the constraint condition, and the matrix represents the collection of the ore yield of each ore yield point; x is X 0 ＝(x 1 ，x 2 ，……x n ) Representing an initial ore blending schedule;
s4.3, calculating the adaptability D of the ore blending scheme z ＝F(X) i ；
S4.4, the fitness D of the comparison matrix z When D z ＜D z-1 When the optimal scheme is p=x z ＝(x 1 ，x 2 ，……x j ) The method comprises the steps of carrying out a first treatment on the surface of the Conversely, p=x z+1 ；
S4.5, the current position X of the particle z ＝(x 1 ，x 2 ，……x n ) And X is z-1 ＝(x 1 ，x 2 ，……x n ) The particles in the matrix are crossed, and the crossing rule is that X is randomly arranged z To and X z-1 A group of X values in the matrix are exchanged, and a new sub-matrix after exchange is X z+1 ＝(x 1 ，x 2 ，……x n )；
S4.6, new child matrix X z+1 Participate in the iterative calculation again;
and S4.7, outputting a global optimal solution P, namely an optimal ore blending scheme after the iteration condition is met.
Compared with the prior art, the invention has the advantages that:
the invention aims to solve the problem of ore matching in a stope, not only considers the high-low collocation of ore grade, but also considers the technical indexes of ore at each ore outlet point with different quality in the process flow of a concentrating mill, establishes an ore matching objective function based on the technical indexes, obtains an optimal ore matching scheme by solving the ore matching objective function through adopting a genetic algorithm, and provides an optimized ore matching method for ensuring that raw ore with stable quality is obtained in the subsequent concentrating process.
Drawings
FIG. 1 is a block diagram of the genetic algorithm of the present invention for solving a mine-matching objective function.
Detailed Description
The invention will be further described with reference to the accompanying drawings and examples.
As shown in fig. 1, the method for optimizing the ore blending of the Anshan-type iron ore is characterized by comprising the following steps:
step one: selecting 10 ore samples from 10 ore points of open-air iron ore;
step two: laboratory tests are respectively carried out on the 10 selected ore samples according to the process flow of the concentrating mill to obtain the relevant parameters alpha of the raw ore of 10 ore points j 、f j 、d j 、β j 、γ j Specific data are shown in table 1:
table 1 test parameters
Step three, establishing a mineral matching objective function, and selecting constraint conditions;
s3.1, establishing a mineral distribution objective function
The ore blending objective function is composed of two polynomial functions as shown in formula (1):
F(X)＝min[Z(x)+Q(x)] (1)
in the formula (1), Z (x) represents the absolute value of the deviation between the average grade of the raw ore and the given grade alpha of the raw ore at n ore-drawing points, as shown in the formula (2):
wherein the given raw ore grade alpha is 30%; x is x j Representing the amount t of ore provided by the jth ore withdrawal;
the Q (x) in the formula (1) is the ore quality index C of the ore output by n ore outlet points j And x j The negative value of the product sum is as shown in equation (3):
wherein, the ore quality index C j According to the data obtained in the second step, the data is obtained through calculation of a formula (4), and the formula (4) is as follows:
wherein, C is more than or equal to 1 j ≤100；C j The value represents the raw ore quality index of the jth ore outlet point, C j Higher values indicate higher raw ore quality;
s3.2, setting constraint conditions as follows:
1) Open air iron ore crushing plant capacity y, (t/d);
2) The j-th ore outlet pointMinimum amount of ore w j ，(t/d)，j＝1，2，3……n；
3) Maximum ore yield W of jth ore yield point j ，(t/d)，j＝1，2，3……n；
The specific data are shown in table 2:
TABLE 2 specific constraint data
Step four, solving a ore blending objective function by adopting a genetic algorithm and outputting an ore blending scheme
The solution flow chart is shown in fig. 1, and the input basic parameters are as follows: n, alpha j 、f j 、d j 、β j 、γ j 、x j 、y、w j 、W j And α, j=1, 2,3 … … n, the optimized ore-blending scheme output after 1000 iterative calculations is shown in table 3:
table 3 optimized mineral formulation scheme
The invention provides an optimized ore blending method for ensuring that the raw ore with stable quality is obtained by the subsequent ore dressing process.
Claims (1)
1. The method for optimizing the ore blending of the Anshan-type iron ore is characterized by comprising the following steps of:
step one, selecting n ore samples n which are more than or equal to 2 from n ore points of open-air iron ore;
step two, laboratory tests are carried out on the n selected ore samples according to the technological process of the concentrating mill, and the relevant parameters of the raw ore at n ore removal points are obtained as follows: alpha j Raw ore grade of the jth ore outlet point,%; f (f) j For the j th ore outletPoint raw ore ferrous grade,%; d, d j The particle size of the ground ore product at the j-th ore outlet point, namely the content of-200 meshes,%; beta j Concentrate grade for j-th ore outlet,%; gamma ray j Concentrate yield,%; j=1, 2,3 … … n;
step three, establishing a mineral matching objective function, and selecting constraint conditions;
the third step specifically comprises the following steps:
s3.1, establishing a mineral distribution objective function
The ore blending objective function is composed of two polynomial functions as shown in formula (1):
F(X)＝min[Z(x)+Q(x)] (1)
in the formula (1), Z (x) represents the absolute value of the deviation between the average grade of the raw ore at n ore-drawing points and the given grade alpha of the raw ore; as shown in formula (2):
wherein alpha is given raw ore grade,%; x is x j Representing the raw ore quantity provided by the jth ore outlet point, t;
the Q (x) in the formula (1) is the ore quality index C of the ore output by n ore outlet points j And x j The negative value of the product sum is as shown in equation (3):
wherein, the ore quality index C j According to the data obtained in the second step, the data is obtained through calculation of a formula (4), and the formula (4) is as follows:
wherein, C is more than or equal to 1 j ≤100；C j The value represents the raw ore quality index of the jth ore outlet point, C j Higher values indicate higher raw ore quality;
s3.2, setting constraint conditions as follows:
1) The production capacity y, t/d of the open-air iron ore crushing station;
2) Minimum ore yield w of jth ore yield point j ，t/d，j＝1，2，3……n；
3) Maximum ore yield W of jth ore yield point j ，t/d，j＝1，2，3……n；
And step four, solving the ore blending objective function by adopting a genetic algorithm and outputting an ore blending scheme.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH09125164A (en) * | 1995-11-07 | 1997-05-13 | Nippon Steel Corp | Method for blending sintered returned ore in optimum |
| CN104835074A (en) * | 2015-02-11 | 2015-08-12 | 中南大学 | Ore blending method of strip mine production |
| CN107145970A (en) * | 2017-04-18 | 2017-09-08 | 东北大学 | One kind is based on the maximized milling ore Optimization Ore Matching method of Utilization Rate of Mineral Resources |
| CN107609681A (en) * | 2017-08-22 | 2018-01-19 | 西安建筑科技大学 | A kind of more metal multiple target ore-proportioning methods based on APSO algorithm |
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| CN104570739B (en) * | 2015-01-07 | 2017-01-25 | 东北大学 | Ore dressing multi-production-index optimized decision making system and method based on cloud and mobile terminal |
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH09125164A (en) * | 1995-11-07 | 1997-05-13 | Nippon Steel Corp | Method for blending sintered returned ore in optimum |
| CN104835074A (en) * | 2015-02-11 | 2015-08-12 | 中南大学 | Ore blending method of strip mine production |
| CN107145970A (en) * | 2017-04-18 | 2017-09-08 | 东北大学 | One kind is based on the maximized milling ore Optimization Ore Matching method of Utilization Rate of Mineral Resources |
| CN107609681A (en) * | 2017-08-22 | 2018-01-19 | 西安建筑科技大学 | A kind of more metal multiple target ore-proportioning methods based on APSO algorithm |
Non-Patent Citations (1)
| Title |
|---|
| 基于遗传算法的多目标优化配矿;李志国 等;《广西大学学报(自然科学版)》;第38卷(第5期);第1230-1238页 * |
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