CN-122019912-A - Judgment feedback method for selective grinding dissociation effect of stirring mill and computer system

CN122019912ACN 122019912 ACN122019912 ACN 122019912ACN-122019912-A

Abstract

The invention discloses a judgment feedback method and a computer system for selective grinding dissociation effect of a stirring mill, wherein the judgment feedback method comprises the following steps of S1, constructing a comprehensive evaluation mathematical model Mb for the selective grinding dissociation effect; S2, determining a threshold value T of a mathematical model Mb according to historical field production data or experiments, when the Mb value calculated in real time is lower than the threshold value T, determining that the current selective grinding dissociation effect is poor, automatically triggering a regulation and control instruction by the system, and when the Mb value calculated in real time is continuously higher than the threshold value T and is kept stable, determining that the current grinding effect is good and excessive energy is input, and triggering an energy-saving regulation and control instruction by the system. The method of the invention forms closed-loop control of evaluation-feedback-regulation by establishing a comprehensive mathematical model formula Mb, calculating the comprehensive evaluation value of the grinding effect on line, setting a threshold trigger feedback mechanism and automatically adjusting key operation parameters of the grinding machine.

Inventors

LONG YUAN
LIU YU
SHI LI

Assignees

湖南金磨科技有限责任公司

Dates

Publication Date: 20260512
Application Date: 20251218

Claims (9)

1. A judgment feedback method for selective grinding dissociation effect of a stirring mill is characterized by comprising the following steps: S1, constructing a mathematical model Mb for comprehensively evaluating the selective grinding dissociation effect, wherein the general expression of the mathematical model Mb is as follows: Mb=kx [ f (grinding classification index)/f (energy consumption parameter) ]×w; wherein, K is the comprehensive adjustment coefficient related to the ore property and the sorting process, w is the concentration of ore pulp in the mill, f (grinding sorting index) is positively related to one or more of the grinding grain lifting value and the ore sorting index, f (energy consumption parameter) is positively related to one or more of the energy consumption parameters of the mill; S2, determining a threshold value T of a mathematical model Mb according to historical field production data or experiments, when the Mb value calculated in real time is lower than the threshold value T, determining that the current selective grinding dissociation effect is poor, automatically triggering a regulation and control instruction, regulating and control energy consumption parameters of a grinder to enable the Mb value not to be lower than the threshold value T, and when the Mb value calculated in real time is continuously higher than the threshold value T and kept stable, determining that the current grinding effect is good and excessive energy is input, triggering an energy-saving regulation and control instruction, regulating and control energy consumption parameters of the grinder, and enabling the Mb value to be reduced to the threshold value T.
2. The method for judging and feeding back selective grinding dissociation effect of a stirred mill according to claim 1, wherein the mineral separation index comprises concentrate yield Concentrate grade improvement value And concentrate recovery rate Concentrate grade improvement value Is the difference between the concentrate grade and the feed grade.
3. The method for determining and feeding back selective grinding dissociation effect of a mixer mill according to claim 2, wherein f (grinding classification index) =a × ×b* ×c* ×d* , wherein, For the grinding grain size increasing value a, b, c, d is the weight index of each parameter, and a+b+c+d=1, a is 0.15-0.25, b is 0.3-0.45, c is 0.1-0.2, d is 0.2-0.3.
4. The method for judging and feeding back the selective grinding dissociation effect of the stirring mill according to claim 1, wherein the mill energy consumption parameters include mill operating power P, ball adding amount Q and mill rotation speed V.
5. The method according to claim 4, wherein f (energy consumption parameter) =e×p×f×q×g×v, wherein e, f, g are weight indexes of the parameters, e+f+g=1, e is 0.1 to 0.3, f is 0.2 to 0.5, and g is 0.4 to 0.6.
6. The judgment feedback method of selective grinding dissociation effect of a mixer mill according to claim 1, wherein the mill energy consumption parameter is controlled so that the Mb value is not lower than the threshold T, and is controlled according to the following priority: if the Mb value is still lower than the threshold value T after the rotation speed V of the mill is lifted to the preset upper limit, starting the regulation and control of the second priority; And the second priority is to increase the ball adding quantity Q or increase the pulp concentration w in the mill.
7. The method for judging and feeding back selective grinding dissociation effect of a mixer mill according to claim 1, wherein the energy consumption parameter of the mill is controlled to reduce the value of Mb to a threshold T, and the energy consumption parameter is controlled according to the following priority: if the rotation speed V of the mill is reduced to a preset lower limit, the Mb value is still higher than the threshold value T, and then the regulation of the second priority is started; And the second priority is to reduce the ball adding quantity Q or the pulp concentration w in the mill.
8. The judgment feedback method for selective grinding dissociation effect of agitator mill according to claim 1, wherein the grinding particle size increase value is measured by an on-line particle size detector, and the mineral separation index is obtained by a grade analyzer or a periodic sampling test.
9. A computer system comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the method of any of the preceding claims 1-8 when the computer program is executed by the processor.

Description

Judgment feedback method for selective grinding dissociation effect of stirring mill and computer system Technical Field The invention belongs to the field of mineral separation, and particularly relates to an evaluation method of a grinding effect of a stirring mill and a computer system. Background In mineral processing, the grinding operation is a key process for realizing dissociation of useful minerals and gangue minerals, and is also a link with highest energy consumption in the whole plant. The selective grinding aims at optimizing grinding energy input, preferentially breaking the minerals at the interface, realizing efficient dissociation and minimizing overgrinding, which is important for energy conservation and consumption reduction. However, the current grinding effect evaluation mainly depends on two modes, namely, offline and long-period direct dissociation degree detection (such as MLA analysis) with high cost and incapability of being used for real-time regulation and control, and on the other hand, depends on a single indirect index of grinding fineness (such as-0.075 mm content) only, so that the applicability of the grinding product to subsequent flotation or magnetic separation operation cannot be comprehensively reflected. In order to realize intelligent optimization of the ore grinding process, an indirect characterization model which can comprehensively reflect the energy consumption efficiency and the selectivity and can be calculated in real time is required to be constructed. The prior art lacks a mathematical model which dynamically correlates the operation parameters (such as power, rotating speed, ball adding amount and grinding concentration) of the grinding machine with the final sorting indexes (such as concentrate yield and grade), and does not form a closed loop method for automatically feeding back and regulating the grinding machine based on the output result of the model. The operation adjustment is dependent on manual experience, the hysteresis is strong, and the grinding is difficult to ensure to be in a high-efficiency and low-consumption selective grinding state all the time. Therefore, a judging method capable of indirectly, rapidly and effectively characterizing the grinding effect, particularly evaluating the selective grinding performance of a mill is needed in a mineral processing site. A judgment feedback method based on a multi-parameter mathematical model is developed, the selective grinding dissociation effect of the stirring mill is evaluated in real time, and the operation parameters are automatically adjusted according to the judgment feedback method, so that the judgment feedback method has great significance in realizing intelligent, fine and green production of the ore dressing process. Disclosure of Invention The invention aims to solve the technical problems and overcome the defects and shortcomings in the background art, and provides a judgment feedback method for the selective grinding dissociation effect of a stirring mill and a computer system. The method is characterized in that a comprehensive mathematical model formula Mb is established, the comprehensive evaluation value of the grinding effect is calculated on line, a threshold trigger feedback mechanism is established, key operation parameters of the grinding machine are automatically adjusted, and closed-loop control of evaluation-feedback-regulation is formed. In order to solve the technical problems, the technical scheme provided by the invention is as follows: a judgment feedback method for selective grinding dissociation effect of a stirring mill comprises the following steps: S1, constructing a mathematical model Mb for comprehensively evaluating the selective grinding dissociation effect, wherein the general expression of the mathematical model Mb is as follows: Mb=kx [ f (grinding classification index)/f (energy consumption parameter) ]×w; wherein, K is the comprehensive adjustment coefficient related to the ore property and the sorting process, w is the concentration of ore pulp in the mill, f (grinding sorting index) is positively related to one or more of the grinding grain lifting value and the ore sorting index, f (energy consumption parameter) is positively related to one or more of the energy consumption parameters of the mill; S2, determining a threshold value T of a mathematical model Mb according to historical field production data or experiments, when the Mb value calculated in real time is lower than the threshold value T, determining that the current selective grinding dissociation effect is poor, automatically triggering a regulation and control instruction, regulating and control energy consumption parameters of a grinder to enable the Mb value not to be lower than the threshold value T, and when the Mb value calculated in real time is continuously higher than the threshold value T and kept stable, determining that the current grinding effect is good and excessive ener