CN-118417046-B - Intelligent ore grinding control method, device, medium and equipment

CN118417046BCN 118417046 BCN118417046 BCN 118417046BCN-118417046-B

Abstract

The invention provides an intelligent ore grinding control method, device, medium and equipment, wherein the method comprises the steps of obtaining a historical data sample by collecting equipment operation state and process flow information of an ore grinding process system, determining various working condition states of the ore grinding process system and corresponding sample ranges thereof by utilizing the historical data sample, determining parameter adjustment ranges according to the various working condition states and the corresponding sample ranges, obtaining real-time equipment states and process information to obtain a real-time data sample, determining the real-time working condition states, judging whether the real-time data sample accords with the parameter adjustment ranges corresponding to the real-time working condition states according to the real-time working condition states and the sample parameter adjustment ranges, and correspondingly adjusting working parameters of the ore grinding process system. The method ensures reliable operation control of the ore grinding process system through real-time intelligent feedback adjustment, achieves the purposes of improving the yield and quality of the ore grinding products, reducing the energy consumption and process fluctuation of unit ore, realizing the process optimization of the production process and increasing the economic benefit of enterprises.

Inventors

ZHAO CHENYANG
HE RONGQUAN
YOU TENGSHENG
ZHANG WEIGUO
HONG JIAYANG
ZHANG XIAOLONG
CHANG LIANGLIANG
CHENG JING

Assignees

中国恩菲工程技术有限公司
中国有色工程有限公司

Dates

Publication Date: 20260505
Application Date: 20240509

Claims (8)

1. An intelligent ore grinding control method is characterized by comprising the following steps: The method comprises the steps of acquiring a plurality of groups of historical information of an ore grinding process system, respectively carrying out information processing on each group of historical information to obtain a plurality of groups of historical information samples, wherein the historical information comprises historical equipment running state information and historical process flow information; Determining different working condition states of the grinding process system and sample ranges of the grinding process system corresponding to the different working condition states respectively based on the multiple groups of historical information samples, and determining sample parameter adjustment ranges of the grinding process system corresponding to each working condition state based on a preset method according to each working condition state and the sample ranges of the grinding process system corresponding to each working condition state, wherein the working condition states comprise a low state, a medium state, a high state and an extremely high state; the method comprises the steps of acquiring real-time information of an ore grinding process system, respectively carrying out information processing on the real-time information to obtain a real-time information sample, determining the real-time working condition state of the ore grinding process system based on the real-time information sample, wherein the real-time information comprises real-time equipment running state information and real-time process flow information; Judging whether the real-time equipment operation state information sample meets the sample parameter adjustment range corresponding to the real-time working condition state based on the sample parameter adjustment range of the ore grinding process system corresponding to each working condition state; after the grinding process system works for a preset time, acquiring a historical sample range and a real-time sample range of the grinding process system, and respectively adjusting sample parameter adjustment ranges of the grinding process system based on the historical sample range and the real-time sample range; the determining, based on a preset method, a sample parameter adjustment range of the ore grinding process system corresponding to each working condition state includes: Determining a low sample parameter adjustment range based on a preset method and the low sample range under the condition that the working condition state is a low state; Under the condition that the working condition state is a middle state, determining a middle sample parameter adjustment range based on a preset method and the middle sample range; Under the condition that the working condition state is a high state, determining a high sample parameter adjustment range based on a preset method and the high sample range; and under the condition that the working condition state is an extremely high state, determining an extremely high sample parameter adjustment range based on a preset method and the extremely high sample range.
2. The method according to claim 1, wherein said separately processing each set of said history information comprises: performing data blurring processing on each group of the historical equipment operation state information to obtain historical equipment operation state information with error information removed, and performing defuzzification processing on the historical equipment operation state information with error information removed to obtain a historical equipment operation state information sample; And carrying out data blurring processing on each group of the historical process flow information to obtain historical process flow information with error information removed, and carrying out deblurring processing on the historical process flow information with error information removed to obtain a historical process flow information sample.
3. The method according to claim 1, wherein after determining whether the real-time equipment operation state information sample meets the sample parameter adjustment range corresponding to the real-time working condition state based on the sample parameter adjustment range of the ore grinding process system corresponding to each working condition state, the method comprises: matching a target sample parameter adjustment range corresponding to the real-time working condition state according to the real-time working condition state, wherein the target sample parameter adjustment range comprises one of a low sample parameter adjustment range, a medium sample parameter adjustment range, a high sample parameter adjustment range and an extremely high sample parameter adjustment range; And under the condition that the real-time equipment running state information sample meets the target sample parameter adjustment range, adjusting the working parameters of the ore grinding process system based on the real-time information sample.
4. A method according to claim 3, wherein the operating parameters of the milling process system include belt feeder frequency, feed block, water content and rotational speed.
5. The method of claim 1, wherein the milling process system comprises a single-stage ball milling system, a single-stage semi-self-milling system, a semi-self-milling-ball milling system, or a ball-milling-ball milling system.
6. An apparatus for performing the intelligent grinding control method of any one of claims 1-5, comprising: The system comprises a history information acquisition module, a processing module and a processing module, wherein the history information acquisition module is used for acquiring a plurality of groups of history information of an ore grinding process system, and respectively carrying out information processing on each group of history information to obtain a plurality of groups of history information samples, wherein the history information comprises history equipment running state information and history process flow information; The system comprises an adjustment range determining module, a control range determining module and a control module, wherein the adjustment range determining module is used for respectively determining different working condition states of the ore grinding process system and sample ranges of the ore grinding process system corresponding to the different working condition states based on the plurality of groups of historical information samples, and determining sample parameter adjustment ranges of the ore grinding process system corresponding to each working condition state based on a preset method according to each working condition state and the sample ranges of the ore grinding process system corresponding to each working condition state, wherein the working condition states comprise a low state, a medium state, a high state and an extremely high state; The system comprises a real-time information acquisition module, a real-time information processing module and a real-time processing module, wherein the real-time information acquisition module is used for acquiring real-time information of the ore grinding process system and respectively carrying out information processing on the real-time information to obtain a real-time information sample; the parameter information judging module is used for judging whether the real-time equipment operation state information sample meets the sample parameter adjustment range corresponding to the real-time working condition state or not based on the sample parameter adjustment range of the ore grinding process system corresponding to each working condition state; The parameter information judging module is further used for acquiring a historical sample range and a real-time sample range of the ore grinding process system after the ore grinding process system works for a preset time, and respectively adjusting sample parameter adjustment ranges of the ore grinding process systems based on the historical sample range and the real-time sample range; the adjustment range determining module is specifically configured to: Determining a low sample parameter adjustment range based on a preset method and the low sample range under the condition that the working condition state is a low state; Under the condition that the working condition state is a middle state, determining a middle sample parameter adjustment range based on a preset method and the middle sample range; Under the condition that the working condition state is a high state, determining a high sample parameter adjustment range based on a preset method and the high sample range; and under the condition that the working condition state is an extremely high state, determining an extremely high sample parameter adjustment range based on a preset method and the extremely high sample range.
7. A storage medium having stored thereon a computer program, which when executed by a processor, implements the method of any of claims 1 to 5.
8. A computer device comprising a storage medium, a processor and a computer program stored on the storage medium and executable on the processor, characterized in that the processor implements the method of any one of claims 1 to 5 when executing the computer program.

Description

Intelligent ore grinding control method, device, medium and equipment Technical Field The disclosure relates to the field of ore processing, and in particular relates to an intelligent ore grinding control method, device, medium and equipment. Background Ore grinding is to gradually reduce the granularity of ore by utilizing the impact and the grinding and stripping actions of media (such as steel balls, steel bars and gravels) and the ore so as to meet the requirement of subsequent operation. In the beneficiation process, the main purpose of ore grinding is to dissociate the useful minerals from gangue minerals as much as possible to meet the needs of the subsequent beneficiation process. At present, the mine crushing and grinding production process at home and abroad mainly comprises a conventional three-section one-closed-circuit crushing and grinding process and a conventional semi-self-grinding and ball grinding process. The semi-autogenous grinding and ball milling grinding process can accept larger ore feeding granularity (the maximum granularity is generally 200-350 mm), and replaces the fine grinding and screening operation in the conventional grinding process, so that the process flow is simplified, the dust pollution is reduced, the occupied area is reduced, and the method is widely applied in the global scope. However, semi-autogenous and ball milling processes are sensitive to changes in the feed properties (including feed block, hardness, grindability, etc.). Along with the change of the ore feeding block degree and hardness of raw ore, the problems of easy fluctuation of production process flow, large fluctuation of equipment operation parameters, relatively complex on-site production operation and control, untimely manual real-time adjustment and control of an ore grinding system, unstable concentration and fineness of an ore grinding product and the like can occur, so that the stability of the ore grinding process flow is influenced, and further, the process indexes (such as grade and recovery rate) and economic benefits of the whole ore dressing plant are influenced. Disclosure of Invention The embodiment of the disclosure at least provides an intelligent ore grinding control method, device, medium and equipment, which enable operation control of an ore grinding process system to be reliable through real-time intelligent feedback adjustment, thereby improving the yield and quality of ore grinding products, reducing unit ore energy consumption and process fluctuation, realizing process optimization of a production process, and increasing economic benefits of enterprises. The embodiment of the disclosure provides an intelligent ore grinding control method, which comprises the following steps: The method comprises the steps of acquiring a plurality of groups of historical information of an ore grinding process system, respectively carrying out information processing on each group of historical information to obtain a plurality of groups of historical information samples, wherein the historical information comprises historical equipment running state information and historical process flow information; Determining different working condition states of the ore grinding process system and sample ranges of the ore grinding process system corresponding to the different working condition states respectively based on the multiple groups of historical information samples, and determining sample parameter adjustment ranges of the ore grinding process system corresponding to each working condition state based on a preset method according to each working condition state and the sample ranges of the ore grinding process system corresponding to each working condition state; The method comprises the steps of acquiring real-time information of an ore grinding process system, respectively carrying out information processing on the real-time information to obtain a real-time information sample, determining the real-time working condition state of the ore grinding process system based on the real-time equipment information sample, wherein the real-time information comprises real-time equipment running state information and real-time process flow information; Based on the sample parameter adjustment range of the ore grinding process system corresponding to each working condition state, judging whether the real-time equipment operation state information sample meets the sample parameter adjustment range corresponding to the real-time working condition state, and adjusting the working parameters of the ore grinding process system according to the judgment result. In some possible embodiments, the processing the history information separately includes: performing data blurring processing on each group of the historical equipment operation state information to obtain historical equipment operation state information with error information removed, and performing defuzzification processing on the historical equipment