CN109331984B - Expert intelligent configuration cloud control system and control method for ball mill - Google Patents

Expert intelligent configuration cloud control system and control method for ball mill Download PDF

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Publication number
CN109331984B
CN109331984B CN201710817902.8A CN201710817902A CN109331984B CN 109331984 B CN109331984 B CN 109331984B CN 201710817902 A CN201710817902 A CN 201710817902A CN 109331984 B CN109331984 B CN 109331984B
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ball mill
control
data
parameters
expert
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CN109331984A (en
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代雷
侯勤顺
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Shanghai Meikuang Machinery Co ltd
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Shanghai Meikuang Machinery Co ltd
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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B02CRUSHING, PULVERISING, OR DISINTEGRATING; PREPARATORY TREATMENT OF GRAIN FOR MILLING
    • B02CCRUSHING, PULVERISING, OR DISINTEGRATING IN GENERAL; MILLING GRAIN
    • B02C25/00Control arrangements specially adapted for crushing or disintegrating
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B02CRUSHING, PULVERISING, OR DISINTEGRATING; PREPARATORY TREATMENT OF GRAIN FOR MILLING
    • B02CCRUSHING, PULVERISING, OR DISINTEGRATING IN GENERAL; MILLING GRAIN
    • B02C17/00Disintegrating by tumbling mills, i.e. mills having a container charged with the material to be disintegrated with or without special disintegrating members such as pebbles or balls
    • B02C17/18Details

Abstract

The invention provides an expert intelligent configuration cloud control system for a ball mill, which is characterized by comprising the following components: the automatic basic control unit is used for completing the acquisition of conventional parameters and the control of basic operation; and an automatic optimization control unit, so that the efficiency of the ball mill is improved.

Description

Expert intelligent configuration cloud control system and control method for ball mill
Technical Field
The invention relates to the field of automation, in particular to an expert intelligent configuration cloud control system and a control method for a ball mill.
Background
Through investigation and analysis, the ball milling of metal mines in China is automatic, and active enterprises include: the DOA measurement and control, the automation of the Changsha mining institute, the automation of the Beijing mining and metallurgy institute, and other mining and metallurgy institute automation companies and enterprise automation control companies.
In the field, more than 95% of mine enterprises are actually examined, and although an automatic system is added, the process data are actually manually stared, and then the staged adjustment is carried out through personal judgment. The operators with better experience can classify the minerals into 2-3 categories and make corresponding judgment according to the incoming materials. More than 90% of operators complain about not being in the problem of their personal abilities, being sensors are not good, some data are collected incorrectly, and the existing situation cannot realize full-automatic control and can only operate according to their personal experiences.
Through cultivation and development for more than 10 years, an automatic control system which is operated at present is basically operated and controlled in a manual centralized mode and is in an automatic basic control stage.
The following problems mainly exist in the existing ball mill automation:
1. inaccuracy of data acquisition
Some key data sensors are incorrectly selected or of unstable quality and do not provide effective, stable, accurate data.
2. Uncertainty of manual control
Different operator responsibility, work experience, work skills, work mode and method.
3. Can only realize digital display and numerical control
The existing centralized control system established by large investment only displays the equipment operation parameters acquired by the sensors, and has no substantive operation and control. Only digital display is solved, and parameters are provided; the numerical control can not be realized by the operator, and the intelligent control can not be realized.
Based on the ores with the same grade, the same raw ore size grade is embodied in that the operation of the existing control system is closed, and compared with manual operation, the same production result can be achieved by relying on the operation experience of field operators.
Disclosure of Invention
The present invention is made to solve the above problems, and an object of the present invention is to provide a highly accurate, highly deterministic, and numerically controllable expert intelligent configuration cloud control system and method for a ball mill.
The invention provides an expert intelligent configuration cloud control system for a ball mill, which is characterized by comprising the following components: the automatic basic control unit is used for completing the acquisition of conventional parameters and the control of basic operation; and an automatic optimization control unit, so that the efficiency of the ball mill is improved.
The invention provides an expert intelligent configuration cloud control system for a ball mill, which is also characterized in that: the automatic basic control unit monitors conventional supply parameters of the ball mill, combines detected conventional discharge parameters, adjusts the supply parameters after comprehensive analysis of control personnel, analyzes the conventional discharge parameters again, corrects the conventional supply parameters before, and performs reciprocating circulation.
The invention provides an expert intelligent configuration cloud control system for a ball mill, which is also characterized in that: wherein, the automatic optimization control unit includes: the method for controlling and calculating the efficiency of the ball mill MACKORN has ball mill efficiency parameters, and the formula is as follows:
Be=Bei*Bs*fd,
be is the efficiency parameter of the ball mill,
the Bei is the efficiency correction coefficient of the ball mill, the single ball mill carries out proportion correction according to the deviation of the calculation result and the actual detection value in the actual operation on site,
bs is the saturation degree of the ball mill,
fd is the coefficient of mineral hardness,
saturation of the ball mill according to the formula
Bs=Bsi*Bwi*Sa,
Bs is the saturation degree of the ball mill,
bsi is a mill saturation correction coefficient,
bwi is the impact energy coefficient of the ball mill,
sa is the pulp binding coefficient.
The invention provides an expert intelligent configuration cloud control system for a ball mill, which is also characterized in that: the conventional parameters comprise ore feeding amount, water feeding amount, current, power, ball loading amount, ball ore proportion, grinding ball grade proportion, pump pool liquid level, cyclone pressure, cyclone underflow concentration, cyclone overflow concentration, classifier power, classifier rotating speed, classifier main shaft lifting height, classifier overflow weir height, high-frequency sieve power, high-frequency sieve grain size fraction, slag slurry pump frequency, slag slurry pump power and sand return ratio.
The invention provides an expert intelligent configuration cloud control system for a ball mill, which is also characterized in that: wherein, the conventional discharging parameters are ore removal grade, ore pulp concentration and ore grinding fineness.
The invention also provides a ball mill expert intelligent configuration cloud control method, which is characterized by comprising the following steps:
after field data are collected, processing conventional data through a field server;
step two, transmitting the unconventional data to a remote cloud data processing center; and
and step three, calling data of the data model base, sending a data group and an adjusting instruction to the field server through analysis and operation, and intelligently controlling the monitoring equipment.
Action and Effect of the invention
According to the ball mill expert intelligent configuration cloud control system and the control method, the problem that some sensors universal in the market are inaccurate or unstable in data is solved through the sensors which are independently researched and developed and customized; using expert system cloud control to replace manual staged operation; the real-time continuous adjustment control is used for replacing the staged adjustment control. The stability of the database operation is used for replacing manual uncertainty; the general operators identify 2-3 mineral characteristics manually, and better operators can distinguish and treat 3-5 mineral characteristics; the expert system identifies the mineral characteristics, can refine and produce dozens of to hundreds of and thousands of common configurations; in real-time monitoring, the expert system cloud distinguishes and controls in real time according to different mineral characteristics; the control fineness of the expert system cannot be achieved manually; the expert system gives full play to the efficiency of the monitored equipment, and the operation of staring data manually is difficult to realize. Based on the same grade of ore, the same raw ore size fraction; the specific expression is that the running of the expert system can improve the efficiency by 8-10% compared with the manual running of the expert system.
Drawings
FIG. 1 is a system block diagram of a ball mill expert intelligent configuration cloud control system in an embodiment of the present invention;
FIG. 2 is a system block diagram of an automated base control unit in an embodiment of the invention;
FIG. 3 is a system block diagram of an automated optimization control unit in an embodiment of the invention; and
fig. 4 is a flowchart of a ball mill expert intelligent configuration cloud control system and control method according to an embodiment of the present invention.
Detailed Description
The expert intelligent configuration cloud control system and the control method of the ball mill according to the present invention are described in detail below with reference to the accompanying drawings.
Examples
Fig. 1 is a system block diagram of a cloud control system configured with expert intelligence for a ball mill according to an embodiment of the present invention.
As shown in fig. 1, an expert intelligent configuration cloud control system for a ball mill comprises: an automation basic control unit 1 and an automation optimization control unit 2.
The automatic basic control unit 1 completes the acquisition of the conventional parameters and the control of the basic operation.
The automatic optimization control unit 2 realizes the improvement of the efficiency of the ball mill.
FIG. 2 is a system block diagram of an automated base control unit in an embodiment of the present invention.
As shown in fig. 2, the automated basic control unit 1 monitors the conventional feeding parameters of the ball mill, such as: ore feeding amount, water feeding amount (frequency of a pump), current, power, ball loading amount, ball ore proportion, grinding ball grade proportion, pump pool liquid level, swirler pressure, swirler underflow concentration, swirler overflow concentration, classifier power, classifier rotating speed, classifier main shaft lifting height, classifier overflow weir height, high-frequency sieve power, high-frequency sieve grain size fraction, slag slurry pump frequency, slag slurry pump power, sand return ratio and the like; and combining the detected conventional discharge parameters, such as: ore removal grade, ore pulp concentration, ore grinding fineness and the like; after comprehensive analysis, the control personnel adjust the supply parameters, analyze the conventional discharge parameters again, correct the conventional supply parameters before, and perform reciprocating circulation; as the nature of the mineral changes: such as: the operator combines the yield and the recovery rate (concentrate grade multiplied by the yield divided by the original mineral product) according to own experience, and then integrates the requirements of company management to realize automatic basic control.
The basic automation only completes the centralized control, and the efficiency problem of the ball mill cannot be solved. The ball mill expert intelligent configuration cloud control system increases the ball mill efficiency parameters.
FIG. 3 is a system block diagram of an automated optimization control unit in an embodiment of the invention.
As shown in fig. 3, the automated optimization control unit 2 includes:
the method for controlling and calculating the efficiency of the ball mill MACKORN has ball mill efficiency parameters, and the formula is as follows:
Be=Bei*Bs*fd,
be is the efficiency parameter of the ball mill,
the Bei is the efficiency correction coefficient of the ball mill, the single ball mill carries out proportion correction according to the deviation of the calculation result and the actual detection value in the actual operation on site,
bs is the saturation degree of the ball mill,
fd is the coefficient of mineral hardness,
saturation of the ball mill according to the formula
Bs=Bsi*Bwi*Sa,
Bs is the saturation degree of the ball mill,
bsi is a mill saturation correction coefficient,
bwi is the impact energy coefficient of the ball mill,
sa is the pulp binding coefficient.
The intensity of the grinding ball impacting the ball mill cylinder is detected by a shock wave detector, and the proportion correction is carried out according to the deviation of a calculation result and an actual detection value in the field actual operation of a single ball mill through long-term actual production and the saturation correction coefficient Bsi of the ball mill.
The ball mill expert intelligent control system is used for processing central operation through a high-speed cloud computer on the basis of accurate and timely effective data acquisition, and is cooperated with a remote expert cloud to call a huge configuration database, adjust correction coefficients of corresponding parameters, process data and graphs and generate correct judgment and operation instructions. The high-efficiency operation of the ball mill is realized through real-time monitoring, real-time analysis, fact judgment and real-time processing.
Fig. 4 is a flowchart of a ball mill expert intelligent configuration cloud control system and control method according to an embodiment of the present invention.
As shown in fig. 4, a method for controlling a cloud based on expert intelligent configuration of a ball mill is characterized by comprising the following steps:
step one, after field data are collected, conventional data are processed through a field server, and the step two is carried out.
And step two, transmitting the unconventional data to a remote cloud data processing center, and entering step three.
And step three, calling data of the data model base, sending a data group and an adjusting instruction to the field server through analysis and operation, and intelligently controlling the monitoring equipment.
Effects and effects of the embodiments
According to the ball mill expert intelligent configuration cloud control system and the control method, the problem that some sensors universal in the market are inaccurate or unstable in data is solved through the sensors which are independently researched and developed and customized; using expert system cloud control to replace manual staged operation; the real-time continuous adjustment control is used for replacing the staged adjustment control. The stability of the database operation is used for replacing manual uncertainty; the general operators identify 2-3 mineral characteristics manually, and better operators can distinguish and treat 3-5 mineral characteristics; the expert system identifies the mineral characteristics, can refine and produce dozens of to hundreds of and thousands of common configurations; in real-time monitoring, the expert system cloud distinguishes and controls in real time according to different mineral characteristics; the control fineness of the expert system cannot be achieved manually; the expert system gives full play to the efficiency of the monitored equipment, and the operation of staring data manually is difficult to realize. Based on the same grade of ore, the same raw ore size fraction; the specific expression is that the running of the expert system can improve the efficiency by 8-10% compared with the manual running of the expert system.
The above embodiments are preferred examples of the present invention, and are not intended to limit the scope of the present invention.

Claims (5)

1. The utility model provides a ball mill expert intelligent configuration cloud control system which characterized in that includes:
the automatic basic control unit is used for completing the acquisition of conventional supply parameters and the control of basic operation; and
the automatic optimization control unit realizes the improvement of the efficiency of the ball mill;
wherein, the automatic optimization control unit comprises:
the method for controlling and calculating the efficiency of the ball mill MACKORN has ball mill efficiency parameters, and the formula is as follows:
Be=Bei*Bs*fd,
the Be is the efficiency parameter of the ball mill,
the Bei is the efficiency correction coefficient of the ball mill, the single ball mill carries out proportion correction according to the deviation of the calculation result and the actual detection value in the actual operation on site,
the Bs is the saturation degree of the ball mill,
the fd is the coefficient of mineral hardness,
saturation of the ball mill according to the formula
Bs=Bsi*Bwi*Sa,
The Bs is the saturation degree of the ball mill,
the Bsi is a saturation correction coefficient of the ball mill,
the Bwi is the impact energy coefficient of a ball mill,
and Sa is the pulp adhesion coefficient.
2. The ball mill expert intelligent configuration cloud control system of claim 1, characterized in that:
and the automatic basic control unit monitors the conventional supply parameters of the ball mill, combines the detected conventional discharge parameters, adjusts the conventional supply parameters after comprehensive analysis by control personnel, analyzes the conventional discharge parameters again, corrects the conventional supply parameters before correction, and performs reciprocating circulation.
3. The ball mill expert intelligent configuration cloud control system of claim 1, characterized in that:
the conventional supply parameters comprise ore feeding amount, water feeding amount, current, power, ball loading amount, ball ore proportion, ball grinding grade proportion, pump pool liquid level, cyclone pressure, cyclone underflow concentration, cyclone overflow concentration, classifier power, classifier rotating speed, classifier main shaft lifting height, classifier overflow weir height, high-frequency sieve power, high-frequency sieve particle grade, slag slurry pump frequency, slag slurry pump power and sand return ratio.
4. The ball mill expert intelligent configuration cloud control system of claim 2, characterized in that:
wherein the conventional discharging parameters comprise ore removal grade, ore pulp concentration and ore grinding fineness.
5. The control method of the expert intelligent configuration cloud control system for the ball mill according to claim 1, characterized by comprising the following steps:
after field data are collected, processing conventional data through a field server;
step two, transmitting the unconventional data to a remote cloud data processing center; and
and step three, calling data of the data model base, sending a data group and an adjusting instruction to the field server through analysis and operation, and intelligently controlling the monitoring equipment.
CN201710817902.8A 2017-09-12 2017-09-12 Expert intelligent configuration cloud control system and control method for ball mill Active CN109331984B (en)

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101134226A (en) * 2007-10-17 2008-03-05 中国水利水电第九工程局 Intelligentized control technology of the semi- dry type manufactured sand production technology
CN103203277A (en) * 2013-04-15 2013-07-17 鞍钢集团矿业公司 Ball mill monitoring system based on smart cloud computing platform and monitoring method
CN106506694A (en) * 2016-12-14 2017-03-15 安徽天俣科技有限公司 A kind of cement grinding equipment remote monitoring system
CN107051691A (en) * 2017-04-10 2017-08-18 太仓金溪粉碎设备有限公司 A kind of intelligently realizing explosion-proof air-flow crushing and hierarchy system
CN107153410A (en) * 2017-07-12 2017-09-12 上海云统创申智能科技有限公司 A kind of intelligent sandstone aggregate production line

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101134226A (en) * 2007-10-17 2008-03-05 中国水利水电第九工程局 Intelligentized control technology of the semi- dry type manufactured sand production technology
CN103203277A (en) * 2013-04-15 2013-07-17 鞍钢集团矿业公司 Ball mill monitoring system based on smart cloud computing platform and monitoring method
CN106506694A (en) * 2016-12-14 2017-03-15 安徽天俣科技有限公司 A kind of cement grinding equipment remote monitoring system
CN107051691A (en) * 2017-04-10 2017-08-18 太仓金溪粉碎设备有限公司 A kind of intelligently realizing explosion-proof air-flow crushing and hierarchy system
CN107153410A (en) * 2017-07-12 2017-09-12 上海云统创申智能科技有限公司 A kind of intelligent sandstone aggregate production line

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