CN114713381A - Flotation intelligent dosing system and dosing method based on flotation tailing pulp detection - Google Patents
Flotation intelligent dosing system and dosing method based on flotation tailing pulp detection Download PDFInfo
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- CN114713381A CN114713381A CN202210288356.4A CN202210288356A CN114713381A CN 114713381 A CN114713381 A CN 114713381A CN 202210288356 A CN202210288356 A CN 202210288356A CN 114713381 A CN114713381 A CN 114713381A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B03—SEPARATION OF SOLID MATERIALS USING LIQUIDS OR USING PNEUMATIC TABLES OR JIGS; MAGNETIC OR ELECTROSTATIC SEPARATION OF SOLID MATERIALS FROM SOLID MATERIALS OR FLUIDS; SEPARATION BY HIGH-VOLTAGE ELECTRIC FIELDS
- B03D—FLOTATION; DIFFERENTIAL SEDIMENTATION
- B03D1/00—Flotation
- B03D1/14—Flotation machines
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B03—SEPARATION OF SOLID MATERIALS USING LIQUIDS OR USING PNEUMATIC TABLES OR JIGS; MAGNETIC OR ELECTROSTATIC SEPARATION OF SOLID MATERIALS FROM SOLID MATERIALS OR FLUIDS; SEPARATION BY HIGH-VOLTAGE ELECTRIC FIELDS
- B03D—FLOTATION; DIFFERENTIAL SEDIMENTATION
- B03D1/00—Flotation
- B03D1/14—Flotation machines
- B03D1/1443—Feed or discharge mechanisms for flotation tanks
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Abstract
The invention relates to a flotation intelligent dosing system and a dosing method based on flotation tailing pulp detection, belongs to the technical field of flotation dosing, and solves the problems of untimely and inaccurate dosage caused by manual adjustment of flotation dosing in the prior art. The invention provides a flotation intelligent dosing system based on flotation tailing pulp detection, which comprises a flotation information acquisition unit, an ash content intelligent prediction unit and a distributed control dosing unit, wherein the flotation information acquisition unit acquires the flow, the concentration, the coarse particle content and the image information of pulp, the ash content intelligent prediction unit processes the flow, the concentration, the coarse particle content and the image information of the pulp to obtain the ash content of the pulp, and the distributed control dosing unit regulates and controls the dosing amount according to the ash content of the pulp, the flow, the concentration and the coarse particle content of the pulp. The invention can realize uninterrupted real-time monitoring of flotation parameters and timely adjustment of the dosage.
Description
Technical Field
The invention relates to the technical field of flotation dosing, in particular to a flotation intelligent dosing system and a dosing method based on flotation tailing pulp detection.
Background
The flotation technology is the most economic and effective fine coal slime separation method, is also an important method for deep separation of coal, and plays a vital role in coal slime water treatment and closed circulation of the coal slime water in a coal preparation plant. The accurate control of the dosage in the flotation process is an important means for ensuring the ash content of the flotation clean coal, the recovery rate of the flotation clean coal and reducing the consumption of the reagent, the dosage is too high, the selectivity of the flotation process is poor, the ash content of the flotation clean coal is improved while the consumption of the reagent is increased, the quality of the clean coal cannot be ensured, the dosage is too low, and the selectivity is too high, so that the yield of the clean coal is reduced.
The intelligent level of the flotation system of current coal preparation factory is low, and the flotation adds the medicine and judges mainly by the manual work, and its flotation effect depends on the production experience of flotation driver and meticulous management degree, judges whether there is sense organ result such as "run thick" problem in flotation tailing according to seeing ore pulp colour, hand touch, and manual operation is operated, can not reach accurate ration, has hysteresis quality and individual subjectivity, leads to the situation of production unstable. In addition, the flotation dosing device is generally higher in position, and besides the physical consumption caused by frequent adjustment is large, the health of a flotation driver is also influenced by pungent smell generated by volatilization of a medicament, and the flotation working environment needs to be improved.
The traditional automatic dosing system is mostly controlled in an open loop mode, dosing is carried out according to a fixed numerical value by the system after a flotation driver determines the numerical value, and a feedback link for automatically adjusting the dosing amount according to working conditions is lacked. Along with increasingly strict requirements of the market on the flotation quality and continuous improvement of the intelligent level of the industrial process, the coal slime flotation intelligence is more and more valued by people. One of the key links of the intelligent control of the flotation process is to realize the real-time detection of product indexes in the flotation process, the current prediction of the ash content of flotation pulp mainly comprises two detection methods, namely an image method and a direct detection method, the traditional prediction of the ash content of the image is to obtain the ash content of the ore concentrate through the analysis of the foam, the gray level and the like of the ore concentrate, and the prediction accuracy is high due to the fact that the floating interval of the ash content of the ore concentrate is small, the accurate ash content prediction is difficult to achieve, and the influence on the recovery rate is also enlarged due to the deviation of the ash content prediction of the ore concentrate. For the direct detection method, the ore pulp ash instrument is mainly used for detecting the ash content of the ore concentrate ore pulp at present, the detection of the tailing ore pulp is lacked, the control on the recovery rate is reduced, the investment cost of the ore pulp ash instrument is high, the determination result has certain hysteresis, the real-time monitoring effect cannot be achieved, the dosage cannot be adjusted in time, and the flotation efficiency is ensured.
Disclosure of Invention
In view of the above analysis, the embodiment of the invention aims to provide an intelligent flotation dosing system and a dosing method based on flotation tailing pulp detection, so as to solve the problems of untimely and inaccurate dosage caused by manual adjustment of existing flotation dosing.
On one hand, the invention provides a flotation intelligent dosing system based on flotation tailing pulp detection, which comprises a flotation information acquisition unit, an ash content intelligent prediction unit and a distributed control dosing unit, wherein the flotation information acquisition unit acquires flow, concentration, coarse particle content and image information of pulp, the ash content intelligent prediction unit processes the flow, concentration, coarse particle content and image information of the pulp to obtain ash content of the pulp, and the distributed control dosing unit regulates dosing quantity according to the ash content of the pulp and the flow, concentration and coarse particle content of the pulp.
Further, the flotation intelligent dosing system comprises a pulp preparer and flotation equipment, wherein the pulp preparer performs flotation through the flotation equipment after pretreating pulp.
Further, the ore pulp preparer comprises a barrel body, wherein a water inlet pipe and a water inlet pipe are arranged at the upper end of the barrel body, and a water outlet pipe is arranged at the lower end of the barrel body.
Further, the flotation information acquisition unit comprises a flowmeter and a concentration meter, and the flowmeter and the concentration meter are arranged at the downstream of the pulp preparer.
Further, the flow meter and the concentration meter are used to obtain the flow rate and the concentration of the slurry flowing from the slurry preparer to the flotation device, respectively.
Further, the flotation information acquisition unit also comprises a force sensor and an industrial camera, and the force sensor and the industrial camera are arranged at a tailing outlet of the flotation equipment.
Further, the force sensor is used for acquiring pulp impact baffle vibration data, and the industrial camera is used for acquiring an image of the pulp.
Furthermore, the ash intelligent prediction unit comprises an image ash prediction unit and a vibration mode identification unit, the image ash prediction unit calculates the ore pulp gray scale according to the obtained ore pulp image, and the vibration mode identification unit calculates the coarse particle content of the ore pulp according to the ore pulp impact baffle vibration data obtained by the force sensor.
Further, distributed control adds medicine unit includes centralized control center unit and flotation control center unit, centralized control center unit sends the medicine instruction to flotation control center unit according to the ash content of ore pulp, coarse grain content, ore pulp volume and ore pulp concentration, flotation control center unit is analyzed adding the medicine instruction, sends out the medicine volume instruction to automatic medicine room that adds.
On the other hand, the invention provides a flotation intelligent dosing method based on flotation tailing pulp detection, which is used for the flotation intelligent dosing system based on flotation tailing pulp detection and comprises the following steps:
s1: after being treated by an ore pulp preparer, flotation feed is subjected to flow and concentration information collection by a flowmeter and a concentration meter, then enters flotation equipment for separation, and tailings obtained through separation enter an information acquisition area;
s2: the force sensor feeds acquired information back to a vibration pattern recognition unit based on a pattern recognition algorithm, and the content of coarse particles in the tailing pulp is analyzed through a model trained through previous data based on the pattern recognition algorithm of SVM (support vector machine) regression;
the industrial camera feeds collected information back to an image ash content prediction unit based on a neural network, and through image gray distribution analysis and coarse particle content factor integration, tailing ash content prediction is carried out in real time;
s3: and transmitting the obtained ash content, coarse particle content, ore pulp amount and ore pulp concentration information into a centralized control center unit, and sending a dosing instruction to a flotation control center unit by a decision system of the centralized control center unit according to the data, so that the tailing ash content is regulated and controlled, and a closed loop is controlled.
Compared with the prior art, the invention can realize at least one of the following beneficial effects:
(1) the invention can realize uninterrupted real-time monitoring of flotation parameters in 24 hours, timely adjust the dosage and has stronger timeliness.
(2) According to the invention, a pattern recognition algorithm is introduced, the coarse particle content in the tailing slurry is detected by using the force sensor, and the coarse particle running condition in the tailing slurry is fed back in time, so that the cost is reduced while the data reliability is ensured, and the flotation efficiency can be improved.
(3) The intelligent dosing process of the invention introduces PAC main component analysis and BP neural network regression analysis database and quantitative dosing strategy of machine learning training, adopts mechanized and accurate control of dosing amount, can avoid the conditions of under-regulation or over-regulation caused by misoperation and judgment error of workers, and improves the recovery rate of clean coal.
(4) The intelligent dosing process provided by the invention has the advantages of simple flow, less investment, low operation cost, obvious economic benefit, no large-scale equipment investment and easiness in modification on the basis of the original plant.
(5) The invention combines the daily data of the mining quality of the factory to carry out prediction regression correction and adjust the algorithm, thereby preventing the deviation of the prediction result caused by the fluctuation of the coal sample, the change of the coal type and the like.
In the invention, the technical schemes can be combined with each other to realize more preferable combination schemes. Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and drawings.
Drawings
The drawings are only for purposes of illustrating particular embodiments and are not to be construed as limiting the invention, wherein like reference numerals are used to designate like parts throughout.
FIG. 1 is a schematic diagram of the flotation intelligent dosing system of the embodiment;
FIG. 2 is a flow chart of the control of the intelligent dosing system for flotation according to the embodiment.
Reference numerals:
1-a pulp preparation device; 11-barrel body; 12-a water inlet pipe; 13-a feed pipe; 14-a discharge pipe; 2-flotation equipment; 31-a flow meter; 32-concentration meter; 33-a force sensor; 34-an industrial camera; 35-light source.
Detailed Description
The preferred embodiments of the present invention will now be described in detail with reference to the accompanying drawings, which form a part hereof, and which together with the embodiments of the invention serve to explain the principles of the invention and not to limit its scope.
In the description of the embodiments of the present invention, it should be noted that the term "connected" is to be understood broadly, and may be, for example, fixed, detachable, or integrally connected, and may be mechanically or electrically connected, and may be directly or indirectly connected through an intermediate medium, unless otherwise specifically stated or limited. The specific meanings of the above terms in the present invention can be understood according to specific situations by those of ordinary skill in the art.
The terms "top," "bottom," "above … …," "below," and "on … …" as used throughout the description are relative positions with respect to components of the device, such as the relative positions of the top and bottom substrates inside the device. It will be appreciated that the devices are multifunctional, regardless of their orientation in space.
Example 1
The invention discloses a flotation intelligent dosing system (hereinafter referred to as a "flotation intelligent dosing system") based on flotation tailing pulp detection, which comprises a flotation information acquisition unit, an ash content intelligent prediction unit and a distributed control dosing unit, wherein the flotation information acquisition unit acquires flow, concentration, coarse particle content and image information of pulp, the ash content intelligent prediction unit processes the flow, concentration, coarse particle content and image information of the pulp to acquire ash content of the pulp, and the distributed control dosing unit regulates dosing amount according to the ash content of the pulp, the flow, concentration and coarse particle content of the pulp.
The intelligent chemical adding system for flotation comprises an ore pulp preparer 1 and flotation equipment 2, wherein the ore pulp preparer 1 is used for pretreating ore pulp and then carrying out flotation through the flotation equipment 2.
The ore pulp preparer 1 comprises a barrel body 11, wherein the upper end of the barrel body 11 is provided with an inlet pipe 12 and an inlet pipe 13, and the lower end of the barrel body 11 is provided with an outlet pipe 14.
The flotation information collecting unit comprises a flow meter 31 and a concentration meter 32, and the flow meter 31 and the concentration meter 32 are arranged at the downstream of the pulp preparation device 1 and are used for obtaining the flow rate and the concentration of the pulp flowing from the pulp preparation device 1 to the flotation device 2.
The flotation information collecting unit further comprises a force sensor 33 and an industrial camera 34, the force sensor 33 and the industrial camera 34 are both arranged at a tailing outlet of the flotation device 2, the force sensor 33 is used for obtaining vibration data of an ore pulp impacting baffle, and the industrial camera 34 is used for obtaining an image of the ore pulp.
Notably, the industrial camera 34 is equipped with a light source 35, a defogger, and a light shield.
The ash content intelligent prediction unit comprises an image ash content prediction unit and a vibration mode identification unit, the image ash content prediction unit calculates the ore pulp gray scale according to the obtained ore pulp image, and the vibration mode identification unit calculates the coarse particle content of the ore pulp according to the ore pulp impact baffle vibration data obtained by the force sensor 33.
The distributed control dosing unit comprises a centralized control center unit and a flotation control center unit, the centralized control center unit sends dosing instructions to the flotation control center unit according to the specific conditions of ash content, coarse particle content, ore pulp amount and ore pulp concentration of ore pulp, the flotation control center unit analyzes the dosing instructions and sends dosing instructions to an automatic dosing chamber, and the automatic dosing chamber regulates and controls the dosing amount of a flotation system by controlling a main electromagnetic valve and an auxiliary electromagnetic valve, so that the ash content of tailings is regulated and controlled, and a closed loop is controlled.
Specifically, the automatic dosing chamber regulates and controls the dosing amount of the ore pulp preparer 1 by controlling a main electromagnetic valve, and regulates and controls the dosing amount of the flotation equipment 2 by controlling an auxiliary electromagnetic valve.
The ash content prediction calculation module is used for carrying out prediction regression correction by combining daily mining data of a factory and adjusting an algorithm, so that deviation of prediction results caused by fluctuation of coal samples, change of coal types and the like is prevented.
Example 2
Another specific embodiment of the present invention, as shown in fig. 1-2, discloses a flotation intelligent dosing method based on flotation tailing pulp detection, and the flotation intelligent dosing system based on flotation tailing pulp detection in embodiment 1 is adopted, and includes the following steps:
s1: after being processed by the ore pulp preparer 1, the flotation feed is firstly subjected to flow and concentration information collection by the flowmeter 31 and the concentration meter 32, then enters the flotation equipment 2 for separation, and tailings obtained by separation enter an information acquisition area.
In this embodiment, the pulp preparation device 1 includes a barrel 11, the barrel 11 is provided with a water inlet pipe 11, a water inlet pipe 12 and a water outlet pipe 14, the water inlet pipe 12 and the water inlet pipe 13 are provided at the upper end of the barrel 11, and the water outlet pipe 14 is provided at the lower end of the barrel 11.
A flow meter 31 and a concentration meter 32 are arranged downstream of the pulp preparation machine 1 for obtaining the flow and concentration of the pulp flowing from the pulp preparation machine 1 to the flotation device 2.
S2: the force sensor 33 feeds the acquired information back to the vibration pattern recognition unit based on the pattern recognition algorithm, and the content of coarse particles in the tailing pulp is analyzed through a model trained through previous data based on the pattern recognition algorithm based on SVM (support vector machine) regression.
A force sensor 33 is arranged at a specific position of a tailing discharge opening, the 'touch' of a flotation driver is simulated through a pattern recognition algorithm based on SVM support vector machine regression to detect the content of coarse particles, the influence of the content of the coarse particles on ash content prediction is eliminated, and the coarse particle running condition is monitored in real time.
The industrial camera 34 feeds back the collected information to an image ash prediction unit based on a neural network, such as a YOLOV5 network, for example, and performs the tailing ash prediction in real time by analyzing the gray distribution of the image and integrating the content of coarse particles.
The industrial camera 34, the light source 35, the demister and other equipment are placed at the upper end of the flotation tailing outlet to monitor the image of the flotation tailing slurry. The independent calculation unit module calculates corresponding ash content by combining the characteristic value extracted by the pulp image gray captured by the industrial camera 34, the flow meter and concentration meter parameters arranged at the tailing discharge port, the intensity of a given light source, the coarse particle content and other information through a CNN neural network model trained by a sample.
The system periodically performs ash prediction regression correction, and the ash prediction calculation unit corrects the prediction result by adjusting the principal component relation of the operation parameters and the network weight in combination with the real data of the periodically collected ash in the plant selection, so that the deviation of the prediction result caused by coal sample fluctuation, coal type change and the like is prevented.
In this embodiment, the force sensor 33 and the industrial camera 34 are both disposed at a tailing outlet of the flotation device 2, the force sensor 33 is used for acquiring vibration data of an ore pulp impact baffle, and the industrial camera 34 is used for acquiring an image of the ore pulp. The industrial camera 34 is equipped with a light source 35, a defogger, and a light shield.
S3: the obtained information of ash content, coarse particle content, pulp quantity, pulp concentration and the like is transmitted into a centralized control center unit, and a decision system of the centralized control center unit sends a dosing instruction to a flotation control center unit according to specific conditions.
The flotation control center unit analyzes the dosing instruction, sends a dosing amount instruction to the automatic dosing chamber, and the automatic dosing chamber controls the dosing amount of the flotation system by controlling the main and auxiliary electromagnetic valves, so that the ash content of tailings is controlled, and closed loop control is realized.
The centralized control center unit combines the information of the ash content, the coarse particle content, the ore pulp flow, the ore pulp concentration and the like which are predicted, and combines the information of a database through a PAC (programmable automation controller) principal component analysis algorithm to control the flotation dosing link.
Specifically, the centralized control center unit collects information such as real-time images of industrial cameras, and judges the flotation working condition by combining the predicted ash content, coarse particle content, ore pulp flow, ore pulp concentration and the like. The flotation dosing link is controlled by a decision system through a PAC (programmable automation controller) principal component analysis algorithm and in combination with database information, dosing information is sent to a dosing station, the flotation dosing is accurately regulated and controlled through a mechanical dosing mode of a frequency converter and a mechanical diaphragm metering pump, and when the variation of the added medicament exceeds a set warning threshold value, the system gives an alarm and needs to be manually confirmed and changed.
Preferably, the frequency converter is Siemens G120C 0.75.75 KWLO (0.55KWHO) C, is widely applied to frequency conversion of pumps and fans, supports bus control and analog input control, and is convenient for a flotation industrial control system to control the frequency converter.
Preferentially, the machinery diaphragm measuring pump chooses for use the Midunluo GM0090PQ9MNN pump head PVC material, and it can be accurate comparatively viscous flotation reagent of effectual transportation of diaphragm PTFE material, and collocation inverter motor conveniently utilizes the converter to carry out flow control to it.
Preferably, the chemical feeding pipe flowmeter is an NKGF-06F1I1/SLZ circular gear flowmeter, has the characteristics of high precision, small range and organic corrosion resistance, and is suitable for real-time monitoring of the amount of the added flotation reagents.
Preferably, the PLC selects Siemens S7200 smart ST-20 transistor output, is matched with an EAM03 analog input/output module, is matched with information fed back by the flowmeter, and carries out real-time closed-loop control on the dosing quantity by controlling the frequency converter.
The flotation intelligent dosing system that this embodiment provided regulates and control the dosing according to the data information (ore pulp flow, concentration, coarse grain content and ash content) of flotation tailing ore pulp, can realize the incessant real time monitoring flotation parameter of 24 hours, in time adjusts the dosing, has stronger ageing.
The flotation intelligent dosing system provided by the embodiment introduces a pattern recognition algorithm to detect the content of coarse particles in the tailing slurry by using the force sensor, feeds back the situation of 'coarse running' in the tailing slurry in time, reduces the cost while ensuring the reliability of data, and can improve the flotation efficiency.
According to the flotation intelligent dosing system provided by the embodiment, the PAC main component analysis and BP neural network regression analysis database and the quantitative dosing strategy of machine learning training are introduced into the intelligent dosing process, the dosing amount is mechanically and accurately controlled, the condition of underregulation or overshooting caused by misoperation and judgment errors of workers can be avoided, and the recovery rate of clean coal is improved.
The flotation intelligent dosing system provided by the embodiment has the advantages of simple intelligent dosing process flow, low investment, low operation cost, obvious economic benefit, no large-scale equipment investment and easiness in modification on the basis of an original plant; and performing prediction regression correction by combining daily mining data of a factory, and adjusting an algorithm, thereby preventing deviation of a prediction result caused by fluctuation of a coal sample, change of coal types and the like.
The invention simulates the current stage of flotation drivers to add medicine by depending on vision and touch, and establishes a machine vision and touch medicine adding decision mechanism based on an artificial neural network; the flotation machine has the advantages that the labor intensity of adding chemicals for flotation workers is reduced, the problems of untimely time and inaccurate dosage caused by manual adjustment are solved, the control over the addition amount of the chemicals of the flotation machine can be realized in time and for a long time, and the running and coarse extraction high recovery rate is reduced while the ash content of a product is ensured.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention.
Claims (10)
1. The utility model provides a flotation intelligence charge system based on flotation tailing ore pulp detects, its characterized in that, adds the medicine unit including flotation information acquisition unit, ash content intelligent prediction unit and distributed control, flotation information acquisition unit acquires flow, concentration, coarse grain content and the image information of ore pulp, ash content intelligent prediction unit obtains the ash content of ore pulp to flow, concentration, coarse grain content and the image information processing of ore pulp, distributed control adds the medicine unit and adjusts and control the dose according to the ash content of ore pulp and the flow, the concentration and the coarse grain content of ore pulp.
2. The flotation smart dosing system based on flotation tailing pulp detection according to claim 1 is characterized by comprising a pulp preparer (1) and a flotation device (2), wherein the pulp preparer (1) performs flotation through the flotation device (2) after pre-processing pulp.
3. The flotation intelligent dosing system based on flotation tailing pulp detection according to claim 2, characterized in that the pulp preparer (1) comprises a barrel (11), wherein the upper end of the barrel (11) is provided with a water inlet pipe (12) and a water inlet pipe (13), and the lower end of the barrel (11) is provided with a water outlet pipe (14).
4. The flotation smart dosing system based on flotation tailing pulp detection according to claim 2, characterized in that the flotation information collecting unit comprises a flow meter (31) and a concentration meter (32), the flow meter (31) and the concentration meter (32) being provided downstream of the pulp preparer (1).
5. The flotation smart dosing system based on flotation tailing pulp detection according to claim 4, characterized in that the flow meter (31) and the concentration meter (32) are used to obtain the flow and concentration, respectively, of the pulp flowing from the pulp preparer (1) to the flotation device (2).
6. The flotation smart dosing system based on flotation tailing pulp detection according to claim 4, characterized in that the flotation information collection unit further comprises a force sensor (33) and an industrial camera (34), both the force sensor (33) and the industrial camera (34) being located at a tailing outlet of the flotation device (2).
7. The flotation smart dosing system based on flotation tailing pulp detection according to claim 6, characterized in that the force sensor (33) is used to obtain pulp impact baffle vibration data and the industrial camera (34) is used to obtain an image of the pulp.
8. The flotation tailing pulp detection based flotation intelligent dosing system according to claim 6, characterized in that the ash intelligent prediction unit comprises an image ash prediction unit and a vibration pattern recognition unit, the image ash prediction unit calculates pulp grey scale according to the obtained pulp image, and the vibration pattern recognition unit calculates coarse particle content of pulp according to pulp impact baffle vibration data obtained by the force sensor (33).
9. The flotation intelligent dosing system based on flotation tailing pulp detection according to claims 1-8, wherein the distributed control dosing unit comprises a centralized control center unit and a flotation control center unit, the centralized control center unit sends dosing instructions to the flotation control center unit according to ash content, coarse particle content, pulp amount and pulp concentration of the pulp, and the flotation control center unit analyzes the dosing instructions and sends dosing amount instructions to the automatic dosing chamber.
10. An intelligent flotation dosing method based on flotation tailing pulp detection is characterized in that the intelligent flotation dosing method is used for the intelligent flotation dosing system based on flotation tailing pulp detection and disclosed by claims 1-9, and the steps comprise:
s1: after being treated by the ore pulp preparer (1), flotation feed is subjected to flow and concentration information collection by a flowmeter (31) and a concentration meter (32), then enters flotation equipment (2) for separation, and tailings obtained through separation enter an information acquisition area;
s2: the force sensor (33) feeds the acquired information back to the vibration pattern recognition unit based on the pattern recognition algorithm, and the content of coarse particles in the tailing pulp is analyzed through a model trained through previous data based on the pattern recognition algorithm based on SVM (support vector machine) regression;
the industrial camera (34) feeds the acquired information back to the image ash content prediction unit based on the neural network, and performs real-time tailing ash content prediction by analyzing the gray level distribution of the image and integrating the coarse particle content factors;
s3: and transmitting the obtained ash content, coarse particle content, ore pulp amount and ore pulp concentration information into a centralized control center unit, and sending a dosing instruction to a flotation control center unit by a decision system of the centralized control center unit according to the data, so that the tailing ash content is regulated and controlled, and a closed loop is controlled.
Priority Applications (4)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210288356.4A CN114713381B (en) | 2022-03-23 | 2022-03-23 | Flotation intelligent dosing system and dosing method based on flotation tail coal mine slurry detection |
| PCT/CN2022/138268 WO2023179111A1 (en) | 2022-03-23 | 2022-12-12 | Intelligent flotation chemicals loading system and method based on flotation tailing ore pulp detection |
| PCT/CN2023/079776 WO2023179344A1 (en) | 2022-03-23 | 2023-03-06 | Intelligent flotation agent addition system based on flotation coal tailing slurry detection, and agent addition method |
| AU2023240839A AU2023240839A1 (en) | 2022-03-23 | 2023-03-06 | Intelligent flotation agent addition system based on flotation coal tailing slurry detection, and agent addition method |
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| CN202210288356.4A CN114713381B (en) | 2022-03-23 | 2022-03-23 | Flotation intelligent dosing system and dosing method based on flotation tail coal mine slurry detection |
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| CN114713381B CN114713381B (en) | 2023-07-07 |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115338040A (en) * | 2022-07-14 | 2022-11-15 | 安徽理工大学 | Flotation control method for adjusting and controlling tail coal slime through bubbles, electronic equipment and storage medium |
| WO2023179344A1 (en) * | 2022-03-23 | 2023-09-28 | 中国矿业大学 | Intelligent flotation agent addition system based on flotation coal tailing slurry detection, and agent addition method |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117772406B (en) * | 2023-12-21 | 2024-08-23 | 中煤天津设计工程有限责任公司 | Coarse and medium running integrated detection device and online detection method for coal preparation plant |
| CN117943213B (en) * | 2024-03-27 | 2024-06-04 | 浙江艾领创矿业科技有限公司 | Real-time monitoring and early warning system and method for micro-bubble flotation machine |
| CN118179761A (en) * | 2024-05-15 | 2024-06-14 | 青岛理工大学 | Mining solid waste treatment modularization intelligent automatic control cyclone column flotation system |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4712742A (en) * | 1984-11-20 | 1987-12-15 | Electric Power Development Co., Ltd. | Preparation of deashed high solid concentration coal-water slurry |
| CN204194144U (en) * | 2014-09-23 | 2015-03-11 | 新矿内蒙古能源有限责任公司 | Thick floatation equipment is cut based on entering the pre-current stabilization of floating ore pulp |
| CN105127002A (en) * | 2015-07-17 | 2015-12-09 | 中国矿业大学 | Floating technology for effectively reducing pollution of high ash content slime in clean coal |
| CN207546767U (en) * | 2017-06-28 | 2018-06-29 | 贵州大学 | A kind of device of coarse granule column flotation |
| CN108255082A (en) * | 2017-12-31 | 2018-07-06 | 天津美腾科技有限公司 | Flotation intelligence control system based on the detection of ore pulp ash content and floatation feed information |
| CN211570318U (en) * | 2019-12-06 | 2020-09-25 | 迈海(苏州)环保科技有限公司 | Unmanned automatic microparticle adsorption filtration processing apparatus |
| CN215235855U (en) * | 2021-04-27 | 2021-12-21 | 湖北三宁矿业有限公司 | Unmanned on duty crushing screening detection device |
| CN114146823A (en) * | 2021-12-10 | 2022-03-08 | 枣庄矿业(集团)有限责任公司田陈煤矿 | Intelligent coal slime flotation system and method |
Family Cites Families (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE611637C (en) * | 1929-11-27 | 1935-04-03 | Erz U Kohle Flotation G M B H | Device for floating processing of ores, coals, etc. like |
| CN202272472U (en) * | 2011-08-23 | 2012-06-13 | 北京纵横兴业科技发展有限公司 | System used for monitoring large coal on coal conveyer belt of coal conveying system |
| CN102671773A (en) * | 2012-04-10 | 2012-09-19 | 拜城县众泰煤焦化有限公司 | Automatic control process for coal slime flotation |
| CN103344644A (en) * | 2013-06-27 | 2013-10-09 | 天地（唐山）矿业科技有限公司 | On-line detection device for flotation tailing ash |
| CN105446401A (en) * | 2016-01-05 | 2016-03-30 | 天津美腾科技有限公司 | Intelligent flotation medicine quantitative adding system |
| CN108580247B (en) * | 2017-12-29 | 2020-08-28 | 扬州大学 | Particulate matter screening machine and screening method thereof |
| JP7074406B2 (en) * | 2018-03-13 | 2022-05-24 | 住友重機械エンバイロメント株式会社 | Drug addition amount control device and drug addition amount control method |
| CN109269951B (en) * | 2018-09-06 | 2021-12-03 | 山西智卓电气有限公司 | Image-based flotation tailing ash content, concentration and coarse particle content detection method |
| WO2021119745A1 (en) * | 2019-12-19 | 2021-06-24 | The University Of Queensland | A sensor for monitoring flotation recovery |
| CN113970510B (en) * | 2021-10-20 | 2024-04-30 | 天地（唐山）矿业科技有限公司 | Flotation tailing granularity online detection device and method based on artificial bionic |
| CN114713381B (en) * | 2022-03-23 | 2023-07-07 | 中国矿业大学 | Flotation intelligent dosing system and dosing method based on flotation tail coal mine slurry detection |
-
2022
- 2022-03-23 CN CN202210288356.4A patent/CN114713381B/en active Active
- 2022-12-12 WO PCT/CN2022/138268 patent/WO2023179111A1/en unknown
-
2023
- 2023-03-06 AU AU2023240839A patent/AU2023240839A1/en active Pending
- 2023-03-06 WO PCT/CN2023/079776 patent/WO2023179344A1/en active Application Filing
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4712742A (en) * | 1984-11-20 | 1987-12-15 | Electric Power Development Co., Ltd. | Preparation of deashed high solid concentration coal-water slurry |
| CN204194144U (en) * | 2014-09-23 | 2015-03-11 | 新矿内蒙古能源有限责任公司 | Thick floatation equipment is cut based on entering the pre-current stabilization of floating ore pulp |
| CN105127002A (en) * | 2015-07-17 | 2015-12-09 | 中国矿业大学 | Floating technology for effectively reducing pollution of high ash content slime in clean coal |
| CN207546767U (en) * | 2017-06-28 | 2018-06-29 | 贵州大学 | A kind of device of coarse granule column flotation |
| CN108255082A (en) * | 2017-12-31 | 2018-07-06 | 天津美腾科技有限公司 | Flotation intelligence control system based on the detection of ore pulp ash content and floatation feed information |
| CN211570318U (en) * | 2019-12-06 | 2020-09-25 | 迈海(苏州)环保科技有限公司 | Unmanned automatic microparticle adsorption filtration processing apparatus |
| CN215235855U (en) * | 2021-04-27 | 2021-12-21 | 湖北三宁矿业有限公司 | Unmanned on duty crushing screening detection device |
| CN114146823A (en) * | 2021-12-10 | 2022-03-08 | 枣庄矿业(集团)有限责任公司田陈煤矿 | Intelligent coal slime flotation system and method |
Non-Patent Citations (4)
| Title |
|---|
| 吴翠平: "在线煤浆灰分测量的煤泥浮选优化控制系统研究", 《高技术通讯》 * |
| 张义: "煤泥浮选固体和水的回收特性研究", 《矿山机械》 * |
| 黄波: "《煤泥浮选技术》", 31 March 2012, 冶金工业出版社 * |
| 黄波: "《界面分选技术》", 30 September 2008, 煤炭工业出版社 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2023179344A1 (en) * | 2022-03-23 | 2023-09-28 | 中国矿业大学 | Intelligent flotation agent addition system based on flotation coal tailing slurry detection, and agent addition method |
| WO2023179111A1 (en) * | 2022-03-23 | 2023-09-28 | 中国矿业大学 | Intelligent flotation chemicals loading system and method based on flotation tailing ore pulp detection |
| CN115338040A (en) * | 2022-07-14 | 2022-11-15 | 安徽理工大学 | Flotation control method for adjusting and controlling tail coal slime through bubbles, electronic equipment and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2023179344A1 (en) | 2023-09-28 |
| CN114713381B (en) | 2023-07-07 |
| WO2023179111A1 (en) | 2023-09-28 |
| AU2023240839A1 (en) | 2024-10-03 |
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