CN114160273B - Online detection device for comprehensive operation state of ore mill and automatic control method - Google Patents
Online detection device for comprehensive operation state of ore mill and automatic control method Download PDFInfo
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- CN114160273B CN114160273B CN202111424631.2A CN202111424631A CN114160273B CN 114160273 B CN114160273 B CN 114160273B CN 202111424631 A CN202111424631 A CN 202111424631A CN 114160273 B CN114160273 B CN 114160273B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B02—CRUSHING, PULVERISING, OR DISINTEGRATING; PREPARATORY TREATMENT OF GRAIN FOR MILLING
- B02C—CRUSHING, PULVERISING, OR DISINTEGRATING IN GENERAL; MILLING GRAIN
- B02C17/00—Disintegrating 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
- B02C17/18—Details
- B02C17/1805—Monitoring devices for tumbling mills
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B02—CRUSHING, PULVERISING, OR DISINTEGRATING; PREPARATORY TREATMENT OF GRAIN FOR MILLING
- B02C—CRUSHING, PULVERISING, OR DISINTEGRATING IN GENERAL; MILLING GRAIN
- B02C25/00—Control arrangements specially adapted for crushing or disintegrating
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
The invention provides an online detection device for the comprehensive operation state of an ore mill and an automatic control method, and belongs to the technical field of mineral processing. The device comprises a feeding belt conveyor, a water pipe, an electromagnetic valve, a device for replenishing grinding media, intelligent materials, grinding media, a frequency converter, a grinding sound detection device, a vibration monitor, a wireless base station, an expert control system and an upper computer; the grinding sound detection device is connected with a grinding sound detector and an analyzer through a shielded cable, grinding media, ores and intelligent materials are arranged in the ore grinding machine, a vibration monitor is installed on a main shaft of the ore grinding machine, the grinding sound detector is installed on the ground adjacent to the ground of the ore grinding machine, a wireless base station and a frequency converter are installed at a discharge port of the ore grinding machine, and an expert control system is connected with an upper computer. The system and the method can realize direct online detection and automatic control of the running state of the ore mill, are easy to realize, accurate, feasible and strong in practicability, can be used for automatic control of the ore mill, and realize energy conservation and consumption reduction.
Description
The patent application is divisional application of application number 201910647948.9, application date 20190718 and invention name 'an ore mill comprehensive operation state online detection device and automatic control method'.
Technical Field
The invention relates to the technical field of mineral processing, in particular to an online detection device for the comprehensive running state of an ore mill and an automatic control method.
Background
At present, the information technology of China and the traditional mineral processing technology are continuously and deeply integrated, the mineral processing process is taken as a typical flow industry, and the online detection and automatic control of the mineral processing process are realized, so that the significance of improving the working efficiency of a ball mill, reducing the equipment damage, reducing the production cost and lightening the working intensity of workers is great; the ore mill is an ore milling device which is developed and widely applied all the time and is an important process link in the production flow of ore dressing. Three states often occur for internal loading of the mill: the load state of the ore mill is mainly determined by the rotating speed, the filling rate, the material-ball ratio, the medium size and the like, and the parameters have a certain coupling effect, so whether the internal load parameters (the filling rate, the material-ball ratio and the concentration) of the mill can be accurately predicted by direct or indirect means is the key for optimizing and controlling the success or failure of the whole mill. The existing detection method comprises the following steps: the method is characterized by comprising a vibration method, a useful power method, a vibration sound method and the like, wherein the sensitivity of a vibration method detection signal is higher, the change of materials in the ball mill can be displayed at any time, the method is not influenced by surrounding noise sources, but is easily influenced by small fluctuation such as voltage frequency change, grinding body loss or mill rotating speed, the useful power method is difficult to judge the reduction of the useful power according to the detected signal due to the overload state of the mill, the vibration sound method can predict the material ball ratio and the lining plate abrasion degree but is difficult to judge the medium filling rate and the ore pulp concentration, the intelligent material can judge the motion state of an ore grinding medium but is difficult to judge the material ball ratio and the ore pulp concentration, and factors influencing the ore grinding of the ore mill have diversity and the complexity of coupling among the factors. Therefore, the intelligent material-vibration sound method-vibration method is combined, the latest signal analysis technology is adopted to deeply mine data according to the obtained information, the potential information contained in the characteristic factors is explored to judge the comprehensive operation state of the ore mill, and finally the accurate and timely prediction of the load of the ore mill is realized. The invention relates to an online detection device for the comprehensive running state of an ore mill and an automatic control method, which are used for realizing online detection and automatic optimization control of the ore mill and have important guiding significance for production control of the ore mill.
Disclosure of Invention
Aiming at the defects of the online detection technology of the ore mill, the invention provides the online detection device and the automatic control method for the comprehensive operation state of the ore mill.
The device comprises a feeding belt conveyor, a water pipe, a device for replenishing grinding media, a feeding port, an ore grinding machine, intelligent materials, a grinding sound detection device, a vibration monitor, a frequency converter, a wireless base station, a discharge port, an expert control system, an upper computer and an electromagnetic valve, wherein the grinding sound detection device comprises a grinding sound detector, a shielding cable and an analyzer, the vibration monitor comprises a second acceleration sensor, a second connecting wire and a second microprocessor, and the intelligent materials comprise a detachable shell, a fixed base, a first acceleration sensor, a first microprocessor and a first connecting wire; the feeding belt conveyor feeds ores into the ore mill through a feeding port, the ore mill is fed with ore milling media through a device for supplementing the ore milling media, a water pipe is controlled by an electromagnetic valve to add water into the ore mill, intelligent materials are added into the ore mill, a vibration monitor is installed on a main shaft of the ore mill, a grinding sound detector is installed on an empty ground adjacent to the ore mill, a wireless base station and a frequency converter are installed at a discharge port of the ore mill, data transmission is carried out between the wireless base station and an expert control system, and the expert control system is connected with an upper computer.
The grinding sound detection device is connected with the grinding sound detector and the analyzer through a shielded cable, the acceleration sensor II in the vibration monitor is connected with the microprocessor II through a connecting wire II, and the acceleration sensor I in the intelligent material is connected with the microprocessor I through a connecting wire I; the analyzer, the microprocessor II and the microprocessor I are wirelessly connected to an expert control system, and the expert control system is connected with an upper computer.
The fixed base, the acceleration sensor I, the microprocessor I and the connecting wire I are packaged in the detachable shell, and the fixed base can load a lead block to balance weight, so that the density of an intelligent material is the same as that of an ore grinding medium or ore, and the real ore grinding medium or ore can be simulated.
The detachable shell is made of high-strength wear-resistant materials, and the shape of the detachable shell comprises a sphere, a rod, a short column and a short truncated cone.
The detachable shell is made of one of wear-resistant steel, wear-resistant cast iron, medium-high carbon alloy wear-resistant steel, hard alloy, hard nickel, ceramic and high-strength wear-resistant organic polymer.
The expert control system comprises a combined logic expert control system and a microprogrammed expert control system, the acceleration sensor II and the acceleration sensor I comprise a biaxial acceleration sensor and a triaxial acceleration sensor, the source of an intelligent material power supply comprises a lithium battery and a self-generating technology, and the types of the frequency converter comprise a direct frequency converter, an indirect frequency converter, a current type frequency converter and a voltage type frequency converter.
The method for automatically controlling by applying the online detection device specifically comprises the following steps: in the ore grinding process of the ore grinding machine, intelligent materials move along with ore grinding media and ores, an acceleration sensor I detects an acceleration signal of the intelligent materials, the acceleration signal is input into a microprocessor I through a connecting line I, the microprocessor carries out frequency spectrum analysis on the acceleration signal and outputs frequency spectrum information, the acceleration signal is transmitted to an expert control system and an upper computer through a wireless base station, the upper computer carries out stress analysis and inputs the stress analysis into the expert control system, an acceleration sensor II arranged in a vibration monitor monitors a vibration signal of a main shaft, the vibration signal is input into the microprocessor II through a connecting line II, the microprocessor carries out frequency spectrum analysis on the acceleration signal and outputs frequency spectrum information, the frequency spectrum information is transmitted to the expert control system and the upper computer through the wireless base station, the upper computer carries out stress analysis and inputs the stress analysis into the expert control system, an abrasion sound detector detects mechanical noise generated by mutual collision between a steel ball and a cylinder body, between the steel ball and the materials, the mechanical noise is transmitted to the analyzer through a shielding cable and transmits the information to the expert control system after passing through the analyzer, the expert control system calculates control signals and outputs the control signals to a feeding belt conveyor, an electromagnetic valve and an ore grinding media replenishing device and a frequency converter which are connected with the expert control system.
In the application process, the grinding sound detector detects mechanical noise generated by mutual collision between the steel balls and the cylinder, between the steel balls and the steel balls, and between the steel balls and materials, the mechanical noise is transmitted to the analyzer through a shielded cable, information is transmitted to the expert control system after passing through the analyzer, the expert control system receives the information of the intelligent materials, the vibration monitor and the grinding sound detector, calculates control signals according to the control system and outputs the control signals to the feeding belt conveyor, the electromagnetic valve, the device for replenishing grinding media and the frequency converter for control, and meanwhile, the expert control system is connected with the upper computer. And if the intelligent materials are damaged in the ore grinding process, adding a corresponding number of intelligent materials.
The technical scheme of the invention has the following beneficial effects:
in the scheme, the online detection of the comprehensive operation state of the ore mill can be realized, the automatic optimization control of the ore mill is realized, and the problems of insufficient manual judgment experience and large fluctuation of ore milling effect are solved; an acceleration sensor and a microprocessor are arranged in the intelligent material, the collection and data transmission of the motion state information of the intelligent material can be realized, the expert control system and an upper computer are used for respectively carrying out spectrum analysis and stress analysis, an acceleration sensor arranged in the vibration monitor monitors the vibration signal of a main shaft, the vibration signal is input into the microprocessor through a connecting wire, the microprocessor carries out spectrum analysis on the acceleration signal and outputs spectrum information, the spectrum information is transmitted to the expert control system and the upper computer through a wireless base station, the upper computer carries out stress analysis and inputs the stress analysis into the expert control system, a grinding sound detector detects mechanical noise generated by mutual collision between a steel ball and a cylinder, the steel ball and the material, the mechanical noise is transmitted to the analyzer through a shielded cable, the information is transmitted to the expert control system after passing through the analyzer, the expert control system receives the intelligent material, the vibration monitor and the grinding sound detector information and then outputs the information to a belt conveyor according to the control system to calculate a control signal, an electromagnetic valve and a grinding medium supplementing device and a frequency converter to control, and adjust the grinding machine to an optimal state. The system and the method can realize the online detection and automatic control of the comprehensive operation state of the ore mill, are easy to realize, accurate, feasible and strong in practicability, can be used for the automatic control of the ore mill, and realize energy conservation and consumption reduction.
Drawings
FIG. 1 is a schematic structural diagram of an online detection device for comprehensive operating conditions of an ore mill according to the present invention.
Wherein: 1-feeding belt conveyor, 2-water pipe, 3-device for supplementing grinding medium, 4-grinding medium, 5-feeding port, 6-grinding machine, 7-ore, 8-intelligent material, 9-grinding sound detector, 10-shielding cable, 11-analyzer, 12-vibration monitor, 13-frequency converter, 14-wireless base station, 15-discharging port, 16-expert control system, 17-upper computer, 2/1-electromagnetic valve, 8/1-acceleration sensor I, 8/2-connecting line I, 8/3-detachable shell, 8/4-microprocessor I, 12/1-acceleration sensor II, 12/2-microprocessor II and 12/3-connecting line II.
Detailed Description
In order to make the technical problems, technical solutions and advantages of the present invention more apparent, the following detailed description is given with reference to the accompanying drawings and specific embodiments.
The invention provides an online detection device for the comprehensive operation state of an ore mill and an automatic control method.
As shown in fig. 1, the device comprises a feeding belt conveyor 1, a water pipe 2, an ore grinding medium supplementing device 3, an ore grinding medium 4, a feeding port 5, an ore grinding machine 6, an intelligent material 8, an ore grinding sound detection device, a vibration monitor 12, a frequency converter 13, a wireless base station 14, a discharge port 15, an expert control system 16, an upper computer 17 and an electromagnetic valve 2/1, wherein the ore grinding sound detection device comprises an ore grinding sound detector 9, a shielding cable 10 and an analyzer 11, the vibration monitor comprises an acceleration sensor II 12/1, a connecting line II 12/3 and a microprocessor II 12/2, and the intelligent material comprises a detachable shell 8/3, a fixed base, an acceleration sensor I8/1, a microprocessor I8/4 and a connecting line I8/2; the feeding belt conveyor 1 feeds ores 7 into an ore mill 6 through a feeding port 5, ore grinding media 4 are fed into the ore mill 6 through an ore grinding media supplementing device 3, a solenoid valve 2/1 controls a water pipe 2 to add water into the ore mill 6, intelligent materials 8 are added into the ore mill 6, a vibration monitor 12 is installed on a main shaft of the ore mill 6, a grinding sound detector 9 is installed on the ground adjacent to the ground of the ore mill 6, a wireless base station 14 and a frequency converter 13 are installed at a discharge port 15 of the ore mill 6, data transmission is carried out between the wireless base station 14 and an expert control system 16, and the expert control system 16 is connected with an upper computer 17.
The grinding sound detection device is connected with a grinding sound detector 9 and an analyzer 11 through a shielded cable 10, an acceleration sensor II 12/1 in a vibration monitor 12 is connected with a microprocessor II 12/2 through a connecting wire II 12/3, and an acceleration sensor I8/1 in an intelligent material 8 is connected with a microprocessor I8/4 through a connecting wire I8/2; the analyzer 11, the microprocessor II 12/3 and the microprocessor I8/4 are wirelessly connected to the expert control system 16, and the expert control system 16 is connected with the upper computer 17.
The fixed base, the acceleration sensor I8/1, the microprocessor I8/4 and the connecting line I8/2 are packaged in the detachable shell 8/3, and the fixed base can load a lead block to balance weight, so that the density of the intelligent material 8 is the same as that of an ore grinding medium or ore.
The method for automatically controlling by applying the online detection device specifically comprises the following steps: in the ore grinding process of the ore grinding machine 6, the intelligent material 8 moves along with the ore grinding medium 4 and the ore 7, the acceleration sensor I8/1 detects the acceleration signal of the intelligent material 8, the acceleration signal is input into the microprocessor I8/4 through the connecting wire I8/2, the microprocessor I8/4 carries out frequency spectrum analysis on the acceleration signal and outputs frequency spectrum information, the acceleration signal is transmitted to the expert control system 16 and the upper computer 17 through the wireless base station 14, the upper computer 17 carries out stress analysis and inputs the stress signal into the expert control system 16, the acceleration sensor II 12/1 arranged in the vibration monitor 12 monitors the vibration signal of the main shaft, the vibration signal is input into the microprocessor II 12/2 through the connecting wire II 12/3, the acceleration signal is subjected to frequency spectrum analysis and outputs the frequency spectrum information, the signal is transmitted to an expert control system 16 and an upper computer 17 through a wireless base station 14, the upper computer 17 carries out stress analysis and is input into the expert control system 16, a grinding sound detector 9 detects mechanical noise generated by mutual collision between steel balls and a cylinder body, between the steel balls and between the steel balls and materials, the mechanical noise is transmitted to an analyzer 11 through a shielded cable 10, information is transmitted to the expert control system 16 through the analyzer 11, the expert control system 16 receives information from a microprocessor II 12/2, a microprocessor I8/4 and the analyzer 11 and then calculates control signals according to the control system and outputs the control signals to a feeding belt conveyor 1, an electromagnetic valve 2/1, an ore grinding medium supplementing device 3 and a frequency converter 13 for control, and meanwhile, the expert control system 16 is connected with the upper computer 17.
The following description is given with reference to specific embodiments.
Taking the ore grinding process flow of a single ore grinding machine as an example, an overflow ore grinding machine is selected, a feeding belt conveyor, a water pipe and an ore grinding medium supplementing device are connected with a feeding port of the overflow ore grinding machine, a discharge port of the overflow ore grinding machine is connected with a classifier, a two-axis acceleration sensor is adopted as an acceleration sensor of an intelligent material, a microprocessor adopts an intelligent chip, a shell material of the intelligent material adopts high-strength forged steel, the rest fixing seats in the intelligent material are loaded with lead weights, an FR-DL-O1 model measuring instrument is adopted as an abrasion sound detector, a Reynolds RNHV frequency converter is adopted as the frequency converter, the intelligent material moves along with the ore grinding medium and ore during the ore grinding process of the ore grinding machine, the acceleration sensor detects an acceleration signal of the intelligent material, the acceleration signal is input into the microprocessor through a connecting line, the microprocessor carries out spectral analysis on the acceleration signal and outputs spectral information, and the spectral information is transmitted to an expert control system and an upper computer through a wireless base station, the upper computer carries out stress analysis and inputs the stress analysis to the expert control system, an acceleration sensor arranged in the vibration monitor monitors vibration signals of the main shaft, the vibration signals are input to the microprocessor through a connecting wire, the microprocessor carries out frequency spectrum analysis on the acceleration signals and outputs frequency spectrum information, the acceleration signals are transmitted to the expert control system and the upper computer through a wireless base station, the upper computer carries out stress analysis and inputs the stress analysis to the expert control system, the mill sound detector detects mechanical noise generated by mutual collision between the steel balls and the cylinder, between the steel balls and between the steel balls and materials, the mechanical noise is transmitted to the analyzer through a shielded cable, the information is transmitted to the expert control system after passing through the analyzer, the expert control system receives the information of the intelligent materials, the vibration monitor and the mill sound detector and then outputs the information to the feeding belt conveyor, the electromagnetic valve and the device for replenishing the mill medium, the frequency converter is used for controlling, and meanwhile, the expert control system is connected with the upper computer.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (2)
1. The utility model provides an ore mill comprehensive operation state on-line measuring device which characterized in that: the grinding sound detection device comprises a grinding sound detector (9), a shielding cable (10) and an analyzer (11), the vibration monitor comprises a second acceleration sensor (12/1), a second connecting line (12/3) and a second microprocessor (12/2), and the intelligent material (8) comprises a detachable shell (8/3), a fixed base, a first acceleration sensor (8/1), a first microprocessor (8/4) and a first connecting line (8/2); feeding ores (7) into an ore mill (6) through a feeding port (5) by a feeding belt conveyor (1), feeding ore milling media (4) into the ore mill (6) through an ore milling media supplementing device (3), controlling a water pipe (2) to add water into the ore mill (6) by an electromagnetic valve (2/1), adding intelligent materials (8) into the ore mill (6), installing a vibration monitor (12) on a main shaft of the ore mill (6), installing a milling sound detector (9) on an empty ground adjacent to the ore mill (6), installing a wireless base station (14) and a frequency converter (13) on a discharge port (15) of the ore mill (6), carrying out data transmission between the wireless base station (14) and an expert control system (16), and connecting the expert control system (16) with an upper computer (17);
the grinding sound detection device is connected with a grinding sound detector (9) and an analyzer (11) through a shielded cable (10), a second acceleration sensor (12/1) in the vibration monitor (12) is connected with a second microprocessor (12/2) through a second connecting wire (12/3), and a first acceleration sensor (8/1) in the intelligent material (8) is connected with a first microprocessor (8/4) through a first connecting wire (8/2); the analyzer (11), the microprocessor II (12/3) and the microprocessor I (8/4) are wirelessly connected to the expert control system (16), and the expert control system (16) is connected with the upper computer (17);
the fixed base, the acceleration sensor I (8/1), the microprocessor I (8/4) and the connecting line I (8/2) are packaged in the detachable shell (8/3), and the fixed base can load a lead block for balancing weight, so that the density of the intelligent material (8) is the same as that of an ore grinding medium or ore;
the detachable shell (8/3) is made of one of wear-resistant steel, wear-resistant cast iron, medium-high carbon alloy wear-resistant steel, hard alloy, hard nickel, ceramic and high-strength wear-resistant organic polymer;
the expert control system (16) comprises a combined logic expert control system and a microprogrammed expert control system, the acceleration sensor II (12/1) and the acceleration sensor I (8/1) comprise a two-axis acceleration sensor and a three-axis acceleration sensor, the power source of the intelligent material (8) comprises a lithium battery and a self-generating technology, and the type of the frequency converter (13) comprises a direct frequency converter, an indirect frequency converter, a current type frequency converter and a voltage type frequency converter.
2. The method for automatically controlling the ore mill comprehensive operation state online detection device according to claim 1, wherein the method comprises the following steps: in the ore grinding process of an ore grinding machine (6), intelligent materials (8) move along with ore grinding media (4) and ores (7), an acceleration sensor I (8/1) detects acceleration signals of the intelligent materials (8), the acceleration signals are input into a microprocessor I (8/4) through a connecting line I (8/2), the microprocessor I (8/4) carries out spectrum analysis on the acceleration signals and outputs spectrum information, the acceleration signals are transmitted to an expert control system (16) and an upper computer (17) through a wireless base station (14), the upper computer (17) carries out stress analysis and inputs the spectrum information into the expert control system (16), an acceleration sensor II (12/1) arranged in a vibration monitor (12) monitors vibration signals of a main shaft, the acceleration signals are input into a microprocessor II (12/2) through a connecting line II (12/3), the microprocessor II (12/2) carries out spectrum analysis and outputs the spectrum information, the spectrum information is transmitted to the expert control system (16) and the upper computer (17) through the wireless base station (14), the upper computer (17) carries out stress analysis and inputs the stress analysis into a sound detector (16), the sound detector (9) detects the information, the information between the steel ball and a steel ball, the collision between the expert control system and a shielding steel ball, the expert control system and a steel ball (11) generates mutual collision noise analysis, the steel ball analysis, the expert control system transmits the steel ball analysis to a steel ball control cylinder (11), the steel ball analysis system (11), the steel ball analysis and the expert control cylinder (11), the steel ball analysis system (11), the noise analysis system (16), and after receiving the information from the second microprocessor (12/2), the first microprocessor (8/4) and the analyzer (11), the expert control system (16) calculates control signals according to the control system and outputs the control signals to the feeding belt conveyor (1), the electromagnetic valve (2/1), the ore grinding medium supplementing device (3) and the frequency converter (13) for control, and meanwhile, the expert control system (16) is connected with an upper computer (17).
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| CN112871386B (en) * | 2020-12-23 | 2022-09-30 | 安徽华润金蟾药业有限公司 | Superfine grinding device for traditional Chinese medicine decoction pieces and application thereof |
| CN114800240A (en) * | 2021-06-17 | 2022-07-29 | 上海普偌迈机电制造有限公司 | Complex part deburring grinding device based on AI intelligent control |
| CN113953056B (en) * | 2021-09-28 | 2023-04-14 | 新疆阜康天山水泥有限责任公司 | Utilize inside quantity control of vibration response to smash complete cement manufacture equipment |
| CN114950701B (en) * | 2022-07-28 | 2022-12-30 | 中国电力科学研究院有限公司 | Intelligent energy terminal, system and operation control method for industrial ball mill |
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| CN102749099A (en) * | 2012-05-18 | 2012-10-24 | 浙江工业大学 | Detection ball being capable of realizing medium motion measurement of ball mill |
| CN203830127U (en) * | 2014-01-14 | 2014-09-17 | 中国矿业大学 | Closed type automatic control system for ore grinding classification |
| CN104713556A (en) * | 2015-03-17 | 2015-06-17 | 中国海洋石油总公司 | Analysis system and method of medium motion state in ball mill |
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| CN106681145A (en) * | 2016-12-30 | 2017-05-17 | 苏州中材建设有限公司 | Deep learning based ball mill energy conservation optimization control method |
| CN108038079A (en) * | 2017-12-05 | 2018-05-15 | 北京工业大学 | A kind of multi-source mechanical signal analysis and optimization combined method |
| CN108629091A (en) * | 2018-04-19 | 2018-10-09 | 北京工业大学 | A kind of mill load parameter prediction method based on selectivity fusion multiple channel mechanical signal spectrum multiple features subset |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110339914B (en) | 2023-05-05 |
| CN114160273A (en) | 2022-03-11 |
| CN110339914A (en) | 2019-10-18 |
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