CN116550466B - Dense medium sorting intelligent control method, control system, equipment and medium - Google Patents
Dense medium sorting intelligent control method, control system, equipment and medium Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 42
- 239000003245 coal Substances 0.000 claims abstract description 397
- 239000002245 particle Substances 0.000 claims abstract description 146
- 238000012216 screening Methods 0.000 claims abstract description 40
- 238000000926 separation method Methods 0.000 claims description 86
- 238000007599 discharging Methods 0.000 claims description 21
- 239000000126 substance Substances 0.000 claims description 8
- 238000004590 computer program Methods 0.000 claims description 3
- 230000000875 corresponding effect Effects 0.000 description 77
- 235000019580 granularity Nutrition 0.000 description 57
- 230000001276 controlling effect Effects 0.000 description 4
- 238000001514 detection method Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 239000007788 liquid Substances 0.000 description 3
- 239000000463 material Substances 0.000 description 3
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- 230000003287 optical effect Effects 0.000 description 3
- 230000002035 prolonged effect Effects 0.000 description 3
- 230000006978 adaptation Effects 0.000 description 2
- 230000002093 peripheral effect Effects 0.000 description 2
- JTJMJGYZQZDUJJ-UHFFFAOYSA-N phencyclidine Chemical class C1CCCCN1C1(C=2C=CC=CC=2)CCCCC1 JTJMJGYZQZDUJJ-UHFFFAOYSA-N 0.000 description 2
- 230000003068 static effect Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000000903 blocking effect Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 230000002596 correlated effect Effects 0.000 description 1
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- 238000012544 monitoring process Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
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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
- B03B—SEPARATING SOLID MATERIALS USING LIQUIDS OR USING PNEUMATIC TABLES OR JIGS
- B03B13/00—Control arrangements specially adapted for wet-separating apparatus or for dressing plant, using physical effects
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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]
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Abstract
The application relates to the field of equipment control, in particular to an intelligent control method, an intelligent control system, intelligent control equipment and intelligent control media for dense medium sorting, wherein the method comprises the following steps: acquiring size information of coal particles in each raw coal group, wherein each raw coal group is obtained by screening raw coal by screening equipment according to a preset granularity range; determining unit target sorting volumes corresponding to the size information according to the size information and the history information corresponding to each raw coal group, wherein the history information comprises a plurality of history size information and corresponding history unit sorting volumes; according to the unit target sorting volume, determining the unit feeding volume corresponding to the raw coal group; and controlling feeding equipment based on the unit feeding volume for each raw coal group, wherein the feeding equipment is used for pouring the raw coal group into the corresponding heavy medium sorting equipment of the raw coal group according to the unit feeding volume. The application can shorten the time consumed by dense medium coal dressing.
Description
Technical Field
The application relates to the technical field of equipment control, in particular to an intelligent control method, an intelligent control system, intelligent control equipment and intelligent control media for dense medium sorting.
Background
At present, coal and other substances in raw coal are separated by using dense medium separation equipment to obtain clean coal for removing other substances. The coal particles meeting the feeding granularity requirement of the dense medium separation equipment enter the dense medium separation equipment and then fall into a structure with dense medium to be mixed with the dense medium, wherein the density of the dense medium is between the density of other substances and the density of the clean coal; the structure with heavy medium rotates at a fixed speed to provide centrifugal force for heavy medium and raw coal particles, and the clean coal floats upwards and other substances sink to realize dense medium coal separation.
However, the sorting is liable to take a long time due to the difference in particle size of the materials.
Disclosure of Invention
In order to perform dense medium coal dressing faster, the application provides an intelligent dense medium sorting control method, an intelligent dense medium sorting control system, intelligent dense medium sorting equipment and an intelligent dense medium sorting control medium.
In a first aspect, the application provides an intelligent control method for dense medium sorting, which adopts the following technical scheme:
an intelligent control method for dense medium separation comprises the following steps:
acquiring size information of coal particles in each raw coal group, wherein each raw coal group is obtained by screening raw coal by screening equipment according to a preset granularity range;
Determining unit target sorting volumes corresponding to the size information according to the size information and the history information corresponding to each raw coal group, wherein the history information comprises a plurality of history size information and history unit sorting volumes corresponding to each history size information;
determining a unit feeding volume corresponding to the raw coal group according to the unit target sorting volume;
and controlling feeding equipment based on the unit feeding volume for each raw coal group, wherein the feeding equipment is used for pouring the raw coal group into the corresponding heavy medium sorting equipment of the raw coal group according to the unit feeding volume.
The present application may be further configured in a preferred example to:
before determining the unit feeding volume corresponding to the raw coal group according to the unit target sorting volume, the method further comprises the following steps:
acquiring a fault unit feeding volume of raw coal groups corresponding to faults of dense medium separation equipment;
correspondingly, according to the unit target sorting volume, determining the unit feeding volume corresponding to the raw coal group comprises the following steps:
determining an initial unit target sorting volume according to the unit target sorting volume;
calculating the difference value of the initial unit target sorting volume and the fault unit feeding volume;
judging whether the difference value is smaller than a set deviation threshold value, if so, determining a preset unit target sorting volume as the unit target sorting volume; if not, the initial unit target sorting volume is determined as the unit target sorting volume.
The present application may be further configured in a preferred example to:
the obtaining the size information corresponding to each raw coal group comprises the following steps:
acquiring the weight of raw coal at a discharge port and the number of coal particles corresponding to a raw coal group feed port of the screening equipment corresponding to each raw coal group at the current moment;
obtaining the particle size of coal particles at a feed inlet of heavy medium separation equipment according to the density of raw coal, the weight of the raw coal and the number of the coal particles; and taking the granularity of the coal particles at the feed inlet as the size information.
The present application may be further configured in a preferred example to:
acquiring the number of coal particles of a discharge port corresponding to a raw coal group feed port of the screening device corresponding to each raw coal group at the current moment, including:
acquiring coal particle images with preset length on a conveyor belt, wherein the conveyor belt is a conveyor belt between a raw coal group feeding port and a discharge port corresponding to the raw coal group feeding port, and the preset length is the moving length of the conveyor belt in unit time;
and determining the quantity of the coal particles at the discharge port by identifying the coal particle image.
The present application may be further configured in a preferred example to:
after controlling the feeding device based on the unit feeding volume, further comprising:
Acquiring the real-time unit discharge volume of the clean coal at the discharge port in real time;
judging whether the unit feeding volume needs to be adjusted according to the unit discharging volume of the real-time clean coal;
if so, obtaining a unit feeding volume adjustment mode according to the unit discharging volume of the clean coal, and obtaining a new unit feeding volume according to the unit feeding volume adjustment mode.
The present application may be further configured in a preferred example to:
judging whether the unit feeding volume needs to be adjusted according to the unit discharging volume of the real-time clean coal, comprising the following steps:
selecting a real-time clean coal unit discharge volume group, wherein the real-time clean coal unit discharge volume group comprises a plurality of real-time clean coal unit discharge volumes carrying time marks;
judging whether the real-time refined coal unit discharge volume in the real-time refined coal unit discharge volume group is in a descending trend along with the time change according to the time mark, wherein when the descending trend is shown, the unit feed volume is required to be adjusted, otherwise, the unit feed volume is not required to be adjusted.
The present application may be further configured in a preferred example to:
according to the unit discharge volume of the clean coal, a unit feed volume adjustment mode is obtained, and the method comprises the following steps:
Making a difference between the unit feeding volume and the real-time clean coal unit discharging volume to obtain a difference absolute value;
the method comprises the steps of obtaining idle capacity in a separation cavity, wherein the separation cavity is a structure for separating clean coal and other substances in raw coal in a heavy-medium separation device;
and determining a unit feeding volume adjustment mode according to the idle capacity in the sorting cavity and the preset rated capacity.
In a second aspect, the application provides an intelligent control system for dense medium sorting, which adopts the following technical scheme:
an intelligent control system for dense media sorting, comprising:
the size information acquisition module is used for acquiring the size information of coal particles in each raw coal group, wherein each raw coal group is obtained by screening raw coal by screening equipment according to a preset granularity range;
the unit target sorting volume determining module is used for determining a unit target sorting volume corresponding to the size information according to the size information and the history information corresponding to each raw coal group, wherein the history information comprises a plurality of history size information and history unit sorting volumes corresponding to the history size information;
the unit feeding volume determining module is used for determining the unit feeding volume corresponding to the raw coal group according to the unit target sorting volume;
And the feeding module is used for controlling feeding equipment based on the unit feeding volume aiming at each raw coal group, wherein the feeding equipment is used for pouring the raw coal group into the raw coal group corresponding heavy medium sorting equipment according to the unit feeding volume.
In a third aspect, the present application provides an electronic device, which adopts the following technical scheme:
at least one processor;
a memory;
at least one application program, wherein the at least one application program is stored in the memory and configured to be executed by the at least one processor, the at least one application program configured to: the dense media sorting intelligent control method according to any one of the first aspects is performed.
In a fourth aspect, the present application provides a computer readable storage medium, which adopts the following technical scheme:
a computer readable storage medium having stored thereon a computer program which, when executed in a computer, causes the computer to perform the dense media sorting intelligent manipulation method of any of the first aspects.
In summary, the application at least comprises the following beneficial technical effects:
compared with the prior art, when the coal particles with larger granularity and the coal particles with smaller granularity in raw coal are mixed for heavy medium separation, the coal particles with smaller granularity influence the separation speed of the coal particles with larger granularity, so that the overall separation time is longer; according to the scheme, before the heavy medium separation equipment is used, the coal particles with larger granularity and the coal particles with smaller granularity are separated by using the screening equipment, so that the difference value between the coal particle sizes entering the same heavy medium separation equipment can be reduced, the separation time of the coal particles with larger granularity is shortened, the time of occupying the space in the heavy medium separation equipment is shortened, and the unit feeding volume of the follow-up heavy medium separation equipment is increased; determining a proper unit feeding volume for each raw coal group according to the volume of coal particles in the raw coal group, and feeding the raw coal group corresponding heavy medium sorting equipment based on the unit feeding volume so as to reduce the time for sorting all raw coal; unlike the related art that the screening device is used for ensuring that the dense medium separation device can produce the clean coal, the method utilizes the screening device to promote the separation speed so as to produce the clean coal more quickly.
Drawings
Fig. 1 is a schematic flow chart of an intelligent control method for dense media sorting according to an embodiment of the present application.
Fig. 2 is a schematic diagram of an application scenario of intelligent control of dense media sorting according to an embodiment of the present application.
Fig. 3 is a schematic structural diagram of an intelligent control device for dense medium sorting according to an embodiment of the present application.
Fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The present application will be described in further detail with reference to fig. 1 to 4.
The present embodiment is merely illustrative of the present application and is not intended to limit the present application, and those skilled in the art, after having read the present specification, may make modifications to the present embodiment without creative contribution as necessary, but are protected by patent laws within the scope of the present application.
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions in the embodiments of the present application are clearly and completely described, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
In addition, the term "and/or" herein is merely an association relationship describing an association object, and means that three relationships may exist, for example, a and/or B may mean: a exists alone, A and B exist together, and B exists alone. In this context, unless otherwise specified, the term "/" generally indicates that the associated object is an "or" relationship.
The heavy medium sorting equipment is at least two types of lump coal heavy medium sorting machines and cyclones, the feeding granularity of the lump coal heavy medium sorting machines is usually 13-300 mm, and the feeding granularity of the cyclones is usually 0.15-13 mm. Because the requirements of different types of heavy medium separation equipment on the feeding granularity are different, raw coal is subjected to primary screening generally, and the granularity of the raw coal entering the heavy medium separation equipment is determined to be within the feeding granularity requirement range of the equipment, so that the heavy medium separation equipment can be normally used, and clean coal can be produced.
In the heavy medium separation process, the larger the granularity of the coal particles is, the larger the relative movement speed of the coal particles compared with the heavy medium is, the larger the separation speed is, and the shorter the separation time is. And the granularity difference between the minimum value and the maximum value of the feeding granularity of the heavy medium separator or the cyclone is one order of magnitude, and the difference between the minimum value and the maximum value of the feeding granularity is larger; meanwhile, the coal particles entering the dense medium separation equipment are separated for a shorter time than the coal particles with smaller granularity; when the coal particles with larger granularity and the coal particles with smaller granularity are mixed, the relative movement speeds of the two can be mutually influenced, namely, the relative movement speed of the coal particles with larger granularity is reduced, the separation time of the coal particles with larger granularity is prolonged, and the time of occupying the space in the heavy medium separation equipment is prolonged, so that the follow-up feeding speed of the heavy medium separation equipment is influenced, and the time of separating all raw coal is prolonged. Therefore, there is a problem that the time required for classifying the whole raw coal is long when the dense medium classification is performed in a mixed state of the coal particles having a large particle size and the coal particles having a small particle size.
The inventor finds that before the heavy medium separation equipment is used, the separation equipment is used for separating coal particles with larger granularity from coal particles with smaller granularity, the difference value between the granularity of the coal particles entering the same heavy medium separation equipment is reduced, the separation time of the coal particles with larger granularity is shortened, the time of occupying the space in the heavy medium separation equipment is shortened, the subsequent feeding speed of the heavy medium separation equipment is increased, and the separation speed is increased, so that the clean coal is produced more quickly.
The embodiment of the application provides an intelligent control method for dense media sorting, which is executed by electronic equipment, wherein the electronic equipment can be a server or terminal equipment, and the server can be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, or a cloud server for providing cloud computing service. The terminal device may be a smart phone, a tablet computer, a notebook computer, a desktop computer, or the like, but is not limited thereto, and the terminal device and the server may be directly or indirectly connected through a wired or wireless communication manner, as shown in fig. 1, the method includes steps S101 to S104, where:
Step S101: and acquiring size information of coal particles in each raw coal group, wherein each raw coal group is obtained by screening raw coal by screening equipment according to a preset granularity range.
As shown in fig. 2, raw coal is sent to a screening device by a conveyor belt to be screened, the screening device outputs raw coal groups corresponding to a plurality of preset granularity ranges, wherein the screening device can comprise a plurality of sub-screening devices, the plurality of sub-screening devices can be arranged in a mode that any raw coal group corresponding to the plurality of preset granularity ranges can be obtained, the embodiment of the application is not limited, and the preset granularity ranges can be set by a technician according to actual requirements and are stored in electronic equipment in advance; the screening equipment outputs raw coal groups corresponding to a plurality of preset granularity ranges and enters different feeding equipment through different conveying belts, wherein each raw coal group corresponds to a unique preset granularity range, a unique feeding equipment and a unique heavy medium sorting equipment; each raw coal group is sent into the corresponding heavy medium separation equipment by each feeding equipment. The screening equipment, the feeding equipment, the conveyor belt and the heavy medium sorting equipment are all connected with the electronic equipment.
Specifically, the size information may be determined based on preset data, or the size information may be collected in real time.
In one implementation manner of determining the size information based on the preset data, step S101 may specifically include: and matching each raw coal group information with the corresponding relation between the preset raw coal group information and the size information in the database, and determining the size information corresponding to each raw coal group information, wherein the raw coal group information is the raw coal group corresponding identification information, and the size information in the corresponding relation between the preset raw coal group information and the size information can be the minimum particle size of the raw coal group corresponding to the raw coal group in the corresponding preset particle size range.
It can be understood that the minimum particle size value in the preset particle size range is selected as the size information, so that the problem that the dense medium separation equipment cannot timely process dense medium separation equipment blockage caused by too much raw coal due to the fact that the unit feeding volume is large because the size information corresponds to the large particle size can be reduced.
In another implementation manner of collecting the size information in real time, step S101 may specifically include step S1011 (not shown in the figure) and step S1012 (not shown in the figure), where:
step S1011: and acquiring the weight of raw coal at a discharge port and the number of coal particles of the screening equipment corresponding to each raw coal group and corresponding to a feed port of the raw coal group at the current moment.
The obtaining of the raw coal weight may include: the weight sensor is arranged at the position of the target conveyor belt and used for collecting the weight of raw coal and transmitting the weight of the raw coal back to the electronic equipment, wherein the target conveyor belt is a conveyor belt between a discharge port of the screening equipment corresponding to the raw coal group and a feed port of the heavy medium sorting equipment corresponding to the raw coal group, the weight of the raw coal is the weight of raw coal with a preset length on the target conveyor belt, the preset length is the moving length of the target conveyor belt in unit time, and the moving length of the target conveyor belt in unit time can be preset by technicians according to actual requirements and stored in the electronic equipment.
The step of obtaining the number of coal particles of the discharge port of the screening device corresponding to each raw coal group and corresponding to the raw coal group feed port at the current moment specifically may include a step SA1 (not shown in the figure) and a step SA2 (not shown in the figure), wherein:
step SA1: and acquiring a coal particle image with a preset length on the conveyor belt, wherein the conveyor belt is a conveyor belt between a raw coal group feeding port and a discharge port corresponding to the raw coal group feeding port, and the preset length is the moving length of the conveyor belt in unit time.
Specifically, the target conveyor belt can be subjected to nodding through the image pickup device to obtain an initial coal particle image and the initial coal particle image is transmitted back to the electronic equipment, wherein the initial coal particle image comprises a part of the target conveyor belt, a clear coal particle image and at least two reference marks, and the linear distance between the reference marks is equal to the preset length; and after the electronic equipment receives the initial coal particle image, cutting the initial coal particle image according to the reference mark to obtain a cut coal particle image.
Step SA2: and determining the number of the coal particles at the discharge port by identifying the coal particle images.
Specifically, each coal particle image in the coal particle image can be identified based on any one of identification modes such as a gray value and a coal particle edge, and then counting is carried out to obtain the number of the overlooking coal particles of the discharge hole; acquiring the thickness of a coal bed; determining an initial coal grain layer number based on the coal layer thickness and the preset unit coal layer height, wherein the initial coal grain layer number=the coal layer thickness/the preset unit coal layer height, and when the calculated coal grain layer number is not an integer, taking a larger integer adjacent to the initial coal grain layer number as the coal grain layer number; the number of coal particles at the discharge hole = the number of overlooking coal particles at the discharge hole x the number of coal particle layers.
In the embodiment of the application, after the coal particle images on the conveyor belt are acquired, the coal particle images are identified to determine the quantity of the coal particles at the discharge port, so that the real-time quantity of the coal particles to enter the dense medium sorting equipment is determined, and compared with the use of the historical coal particle quantity average value, the accuracy of the quantity of the coal particles can be improved by determining the quantity of the coal particles in real time by utilizing the images.
Step S1012: obtaining the particle size of coal particles at a feed inlet of the heavy medium separation equipment according to the density, the weight and the number of the coal particles; and taking the granularity of the coal particles at the feed inlet as size information.
Specifically, the volume of coal particles at the feed inlet=the weight of raw coal/the number of coal particles/the density of raw coal; substituting the volume of the coal particles at the feed inlet into a preset particle size curve to determine the corresponding particle size of the coal particles at the feed inlet, wherein the determination mode of the preset particle size curve can be as follows: and (3) putting a large number of historical coal particle volumes and the coal particle sizes corresponding to the historical coal particle volumes and the coal particle sizes into a two-dimensional coordinate system taking the coal particle volumes and the coal particle sizes as coordinate axes to obtain a fitting curve between the coal particle volumes and the coal particle sizes, and taking the fitting curve between the coal particle volumes and the coal particle sizes as a preset particle size curve.
According to the embodiment of the application, the coal particle size of the feed inlet is obtained according to the raw coal density, the raw coal weight and the coal particle number at the current moment so as to determine the size information, so that the real-time performance of the size information can be improved, and further, the accuracy of unit target sorting volume can be improved.
Step S102: and determining a unit target sorting volume corresponding to the size information according to the size information and the history information corresponding to each raw coal group, wherein the history information comprises a plurality of history size information and a history unit sorting volume corresponding to each history size information.
The unit target separation volume is the raw coal volume which can finish separation in unit time of the dense medium separation equipment; placing the plurality of pieces of historical size information and the corresponding historical unit sorting volumes into a two-dimensional coordinate system taking the size information and the unit sorting volumes as coordinate axes to obtain a fitting curve between the size information and the unit sorting volumes; and storing a fitting curve between the size information and the unit sorting volume as a preset unit sorting volume model corresponding to each raw coal group into the electronic equipment to wait for calling.
Specifically, for each raw coal group, a target preset unit sorting volume model corresponding to each raw coal group is called according to the raw coal group identification, and size information corresponding to the raw coal group is input into the target preset unit sorting volume model to obtain a unit target sorting volume corresponding to the size information output by the target preset unit sorting volume model.
Step S103: and determining the unit feeding volume corresponding to the raw coal group according to the unit target sorting volume.
The working states of the heavy medium sorting equipment comprise a normal state and a fault state.
And in a normal state, taking the unit target sorting volume as the unit feeding volume corresponding to the raw coal group.
When the fault state is reached, obtaining the fault unit feeding volume of the raw coal group corresponding to the fault of the dense medium separation equipment; correspondingly, according to the unit target sorting volume, determining the unit feeding volume corresponding to the raw coal group comprises the following steps: determining an initial unit target sorting volume according to the unit target sorting volume; calculating the difference value between the initial unit target sorting volume and the fault unit feeding volume; judging whether the difference value is smaller than a set deviation threshold value, if so, determining a preset unit target sorting volume as a unit target sorting volume; if not, the initial unit target sorting volume is determined as the unit target sorting volume.
Step S104: and controlling feeding equipment based on the unit feeding volume for each raw coal group, wherein the feeding equipment is used for pouring the raw coal group into the corresponding heavy medium sorting equipment of the raw coal group according to the unit feeding volume.
An object detection sensor is arranged in a feeding bin of the feeding equipment and is used for monitoring the height of raw coal in the feeding bin, when the height of the raw coal reaches a set height, the fact that the volume of the raw coal in the feeding bin is equal to the unit feeding volume at the moment is represented, a limit signal acquired by the object detection sensor is an effective signal, the feeding equipment is dumped at the moment, and the raw coal in the feeding bin is dumped into the dense medium sorting equipment; it should be noted that the average value of the pouring time interval is the same as the unit time.
In the embodiment of the application, compared with the prior art, when the coal particles with larger granularity and the coal particles with smaller granularity in raw coal are mixed for heavy medium separation, the coal particles with smaller granularity influence the separation speed of the coal particles with larger granularity, so that the whole separation time is longer; according to the scheme, before the heavy medium separation equipment is used, the coal particles with larger granularity and the coal particles with smaller granularity are separated by using the screening equipment, so that the difference value between the coal particle sizes entering the same heavy medium separation equipment can be reduced, the separation time of the coal particles with larger granularity is shortened, the time of occupying the space in the heavy medium separation equipment is shortened, and the unit feeding volume of the follow-up heavy medium separation equipment is increased; determining a proper unit feeding volume for each raw coal group according to the volume of coal particles in the raw coal group, and feeding the raw coal group corresponding heavy medium sorting equipment based on the unit feeding volume so as to reduce the time for sorting all raw coal; unlike the related art that the screening device is used for ensuring that the dense medium separation device can produce the clean coal, the method utilizes the screening device to promote the separation speed so as to produce the clean coal more quickly.
One possible implementation manner of the embodiment of the present application, before step S103, may specifically further include: and obtaining the fault unit feeding volume of the raw coal group corresponding to the fault of the dense medium separation equipment.
The fault unit feeding volume is the raw coal volume which can be sorted in unit time when the heavy medium sorting equipment is in fault, and the fault unit feeding volume is stored in the electronic equipment as historical data.
Accordingly, step S103 may specifically include steps SB1 to SB3 (not shown in the drawings), in which:
step SB1: and determining the initial unit target sorting volume according to the unit target sorting volume.
The unit target sorting volume is taken as the initial unit target sorting volume.
Step SB2: and calculating the difference value between the initial unit target sorting volume and the fault unit feeding volume.
Specifically, the difference= |initial unit target sorting volume-fault unit feed volume|.
Step SB3: judging whether the difference value is smaller than a set deviation threshold value, if so, determining a preset unit target sorting volume as a unit target sorting volume; if not, the initial unit target sorting volume is determined as the unit target sorting volume.
The deviation threshold may be preset by a technician according to the actual error allowance range and stored in the electronic device.
Specifically, if the difference value is smaller than the set deviation threshold value, the probability of occurrence of faults when the heavy medium sorting equipment feeds materials with the initial unit target sorting volume is larger, the unit sorting volume needs to be adjusted, the preset unit target sorting volume is determined to be the unit target sorting volume, the preset unit target sorting volume is positively correlated with the fault degree, and the larger the fault degree is, the larger the preset unit target sorting volume is; if the difference value is not smaller than the set deviation threshold, the probability of failure is smaller when the heavy medium sorting equipment feeds materials with the initial unit target sorting volume, and the unit sorting volume does not need to be adjusted.
In the embodiment of the application, the probability of the fault of the heavy medium sorting equipment is reduced by avoiding that the unit target sorting volume is the same as the unit feeding volume causing the larger probability of the fault of the heavy medium sorting equipment.
Further, before the fault unit feeding volume of the raw coal group corresponding to the fault of the dense medium separation equipment is obtained, the method specifically further comprises the following steps: acquiring unit discharge volume and unit feed volume of refined coal at a discharge port of the heavy medium sorting equipment, which correspond to each moment; for each moment, differentiating the unit discharge volume and the unit feed volume of the clean coal to obtain a difference value of the input and output volume, wherein the difference value of the input and output volume=the unit discharge volume and the unit feed volume of the clean coal; judging whether the difference value of the feeding volume is in an increasing trend along with the change of time according to a plurality of moments; if not, the normal operation of the dense medium sorting equipment is indicated; otherwise, the heavy medium sorting equipment is represented to be in a fault state, and whether the difference value of the feeding and discharging volumes at the current moment is larger than a preset difference value threshold value is judged at the moment, wherein the preset difference value threshold value is equal to the average value of the difference values of the feeding and discharging volumes of the fault historical data; if the fault state of the heavy medium sorting equipment is larger than the critical value, the fault state of the heavy medium sorting equipment is determined to be serious, otherwise, the fault state of the heavy medium sorting equipment is determined to be general.
Correspondingly, according to the unit target sorting volume, determining the unit feeding volume corresponding to the raw coal group comprises the following steps:
when the heavy medium sorting equipment normally operates, taking a unit target sorting volume as a unit feeding volume corresponding to the raw coal group; when the dense medium sorting equipment is in a fault state: if the fault state is serious, determining a first preset unit target sorting volume as a unit target sorting volume, wherein the first preset unit target sorting volume is a unit sorting volume with the smallest probability of causing the heavy medium sorting equipment to generate fault in the common unit sorting volume; if the fault state is normal, determining a second preset unit target sorting volume as a unit target sorting volume, wherein the second preset unit target sorting volume is a unit sorting volume average value which does not cause the fault of the heavy medium sorting equipment in the common unit sorting volume.
Further, when the heavy medium sorting equipment is in a serious fault state, the fault state of the heavy medium sorting equipment is pre-warned, and a user is prompted to overhaul the heavy medium sorting equipment.
One possible implementation manner of the embodiment of the present application may specifically further include steps SC1 to SC3 (not shown in the figure) after step S104, where:
Step SC1: and obtaining the real-time unit discharge volume of the clean coal at the discharge port in real time.
The method comprises the steps that a speed sensor and a camera device are arranged at the position of a discharge hole, the detection direction of the speed sensor is perpendicular to the discharge direction, the speed sensor is used for measuring the movement speed of the clean coal particles at the discharge hole, the camera device is used for shooting the contact surface of a conveyor belt perpendicular to clean coal and the conveyor belt, the clean coal image is used for collecting the clean coal image, the clean coal image comprises a clear clean coal particle image and at least two reference marks, the at least two reference marks are separated by a preset discharge length, the reference marks can be the conveyor belt or any non-moving point around the conveyor belt, the preset discharge length is the unit time moving length of the conveyor belt corresponding to the discharge hole, and the preset discharge length can be preset by a technician and stored in electronic equipment.
Specifically, the average movement speed of the clean coal particles is acquired by using a speed sensor, and the average movement speed is transmitted back to the electronic equipment; collecting a clean coal image with a preset discharging length by using a camera device, and identifying the number of clean coal particles in the clean coal image; it should be noted that the average movement speed and the clean coal image are acquired simultaneously; the number of unit clean coal particles = average moving speed x unit time x the number of clean coal particles, wherein the number of unit clean coal particles is the number of clean coal particles discharged from a discharge port in unit time; determining a volume corresponding to the feeding granularity according to the feeding granularity corresponding to the raw coal group and the historical feeding granularity information, wherein the historical feeding granularity information comprises a plurality of historical feeding granularities and respective corresponding volumes; real-time clean coal unit discharge volume = volume corresponding to feed granularity x unit clean coal particle number.
Step SC2: and judging whether the unit feeding volume needs to be adjusted according to the unit discharging volume of the real-time clean coal.
Specifically, step SC2-1 (not shown) and step SC2-2 (not shown) may be included, where:
step SC2-1: and selecting a real-time clean coal unit discharge volume group, wherein the real-time clean coal unit discharge volume group comprises a plurality of real-time clean coal unit discharge volumes carrying time marks.
Specifically, the real-time clean coal unit discharge volume group at least comprises the real-time clean coal unit discharge volume at the current moment.
Step SC2-2: judging whether the real-time clean coal unit discharge volume in the real-time clean coal unit discharge volume group is in a descending trend along with the time change according to the time mark, wherein when the descending trend is shown, the unit feed volume needs to be adjusted, otherwise, the unit feed volume does not need to be adjusted.
Specifically, if the heavy medium separation equipment has a descending trend, the discharging amount of the heavy medium separation equipment is reduced, and the unit feeding volume of raw coal in the heavy medium separation equipment is properly reduced; otherwise, the discharge amount of the heavy medium sorting equipment is increased or has no obvious change, and the discharge amount and the feed amount of the heavy medium sorting equipment can be kept balanced without adjusting the unit feed volume.
Step SC3: if so, obtaining a unit feeding volume adjustment mode according to the unit discharging volume of the clean coal, and obtaining a new unit feeding volume according to the unit feeding volume adjustment mode.
Specifically, the method for adjusting the unit feeding volume according to the unit discharging volume of the clean coal may include steps SC3-1 to SC3-3 (not shown in the figure), wherein:
step SC3-1: and taking the difference between the unit feeding volume and the real-time unit discharging volume of the clean coal to obtain the absolute value of the difference.
Step SC3-2: and acquiring the free capacity in the separation cavity, wherein the separation cavity is a structure for separating clean coal and other substances in raw coal in the heavy-medium separation equipment.
Specifically, the ultrasonic equipment or infrared equipment is used for measuring the position information of each point of the liquid level of the mixed liquid in the separation cavity, wherein the position information is the vertical distance from each point of the liquid level to the plane where the top of the separation cavity is positioned; and summing the position information of all the points to obtain the sum of the vertical distances, and taking the vertical distances as the free capacity in the sorting cavity.
Step SC3-3: and determining a unit feeding volume adjustment mode according to the idle capacity in the sorting cavity and the preset rated capacity.
Specifically, if the idle capacity is smaller than the preset rated capacity, the unit feeding volume adjustment mode is determined as follows: the absolute value of the difference value is adjusted downwards according to the unit feeding volume; if the free capacity is larger than or equal to the preset rated capacity, determining that the unit feeding volume adjustment mode is as follows: the absolute value of the difference is adjusted up per unit of feed volume. The preset rated capacity is determined by a large amount of idle capacity when the heavy medium sorting equipment fails, and can be preset by a technician and stored in the electronic equipment.
Obtaining a new unit feeding volume according to the unit feeding volume adjustment mode specifically may include: if the unit feeding volume adjustment mode is to adjust the unit feeding volume by the absolute value of the difference value, the new unit feeding volume=the unit feeding volume-the absolute value of the difference value; otherwise, new unit feed volume = unit feed volume + absolute value of difference.
In the embodiment of the application, the current working state of the heavy medium sorting equipment is determined by acquiring the real-time unit discharge volume of the clean coal at the discharge port in real time; when the unit discharge volume of the real-time clean coal of the heavy medium sorting equipment is in a descending trend, the idle capacity in the heavy medium sorting equipment is possibly smaller, the sorting process is possibly blocked, and the blocking condition is reduced by adjusting the unit feed volume so as to improve the unit discharge volume of the real-time clean coal.
The above embodiment describes an intelligent control method for dense medium sorting from the aspect of a method flow, and the following embodiment describes an intelligent control system for dense medium sorting from the aspect of a virtual module or a virtual unit, specifically the following embodiment.
The embodiment of the application provides an intelligent control system for heavy medium sorting, as shown in fig. 3, which specifically comprises the following steps:
A size information obtaining module 201, configured to obtain size information of coal particles in each raw coal group, where each raw coal group is obtained by screening raw coal by a screening device according to a preset particle size range;
a unit target sorting volume determining module 202, configured to determine a unit target sorting volume corresponding to the size information according to the size information and the history information corresponding to each raw coal group, where the history information includes a plurality of history size information and a history unit sorting volume corresponding to each history size information;
the unit feeding volume determining module 203 is configured to determine a unit feeding volume corresponding to the raw coal group according to the unit target sorting volume;
the feeding module 204 is configured to control a feeding device based on a unit feeding volume for each raw coal group, where the feeding device is configured to pour the raw coal group into the raw coal group corresponding heavy medium sorting device according to the unit feeding volume.
One possible implementation manner of the embodiment of the application is an intelligent control system for dense medium sorting, which further comprises:
the fault unit feeding volume module is specifically used for:
acquiring a fault unit feeding volume of raw coal groups corresponding to faults of dense medium separation equipment;
correspondingly, the unit feeding volume determining module 203 is specifically configured to, when determining the unit feeding volume corresponding to the raw coal group according to the unit target sorting volume:
Determining an initial unit target sorting volume according to the unit target sorting volume;
calculating the difference value between the initial unit target sorting volume and the fault unit feeding volume;
judging whether the difference value is smaller than a set deviation threshold value, if so, determining a preset unit target sorting volume as a unit target sorting volume; if not, the initial unit target sorting volume is determined as the unit target sorting volume.
In one possible implementation manner of the embodiment of the present application, the size information obtaining module 201 is specifically configured to, when performing obtaining the size information of the coal particles in each raw coal group:
acquiring the weight of raw coal at a discharge port and the number of coal particles, corresponding to a raw coal group feed port, of a screening device corresponding to each raw coal group at the current moment;
obtaining the particle size of coal particles at a feed inlet of the heavy medium separation equipment according to the density, the weight and the number of the coal particles; and taking the granularity of the coal particles at the feed inlet as size information.
In one possible implementation manner of the embodiment of the present application, the size information obtaining module 201 is specifically configured to, when executing obtaining the number of coal particles at the discharge port corresponding to the raw coal group feed port of the screening device corresponding to each raw coal group at the current moment:
acquiring coal particle images with preset length on a conveyor belt, wherein the conveyor belt is a conveyor belt between a raw coal group feeding port and a discharge port corresponding to the raw coal group feeding port, and the preset length is the moving length of the conveyor belt in unit time;
And determining the number of the coal particles at the discharge port by identifying the coal particle images.
One possible implementation manner of the embodiment of the application is an intelligent control system for dense medium sorting, which further comprises:
the unit feeding volume adjusting module is specifically used for:
acquiring the real-time unit discharge volume of the clean coal at the discharge port in real time;
judging whether the unit feeding volume needs to be adjusted according to the unit discharging volume of the real-time clean coal;
if so, obtaining a unit feeding volume adjustment mode according to the unit discharging volume of the clean coal, and obtaining a new unit feeding volume according to the unit feeding volume adjustment mode.
In one possible implementation manner of the embodiment of the present application, the unit feeding volume adjustment module is specifically configured to, when executing the determination of whether to adjust the unit feeding volume according to the real-time unit discharging volume of the clean coal:
selecting a real-time clean coal unit discharge volume group, wherein the real-time clean coal unit discharge volume group comprises a plurality of real-time clean coal unit discharge volumes carrying time marks;
judging whether the real-time clean coal unit discharge volume in the real-time clean coal unit discharge volume group is in a descending trend along with the time change according to the time mark, wherein when the descending trend is shown, the unit feed volume needs to be adjusted, otherwise, the unit feed volume does not need to be adjusted.
In one possible implementation manner of the embodiment of the present application, the unit feeding volume adjustment module is specifically configured to:
taking the difference between the unit feeding volume and the real-time unit discharging volume of the clean coal to obtain the absolute value of the difference;
the method comprises the steps of obtaining idle capacity in a separation cavity, wherein the separation cavity is a structure for separating clean coal and other substances in raw coal in a dense separation device;
and determining a unit feeding volume adjustment mode according to the idle capacity in the sorting cavity and the preset rated capacity.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, a specific working process of the heavy medium sorting intelligent control device described above may refer to a corresponding process in the foregoing method embodiment, which is not described herein again.
In an embodiment of the present application, as shown in fig. 4, an electronic device shown in fig. 4 includes: a processor 301 and a memory 303. Wherein the processor 301 is coupled to the memory 303, such as via a bus 302. Optionally, the electronic device may also include a transceiver 304. It should be noted that, in practical applications, the transceiver 304 is not limited to one, and the structure of the electronic device is not limited to the embodiment of the present application.
The processor 301 may be a CPU (Central Processing Unit ), general purpose processor, DSP (Digital Signal Processor, data signal processor), ASIC (Application Specific Integrated Circuit ), FPGA (Field Programmable Gate Array, field programmable gate array) or other programmable logic device, transistor logic device, hardware components, or any combination thereof. Which may implement or perform the various exemplary logic blocks, modules and circuits described in connection with this disclosure. Processor 301 may also be a combination that implements computing functionality, e.g., comprising one or more microprocessor combinations, a combination of a DSP and a microprocessor, etc.
Bus 302 may include a path to transfer information between the components. Bus 302 may be a PCI (Peripheral Component Interconnect, peripheral component interconnect Standard) bus or an EISA (Extended Industry Standard Architecture ) bus, or the like. Bus 302 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in fig. 4, but not only one bus or type of bus.
The Memory 303 may be, but is not limited to, a ROM (Read Only Memory) or other type of static storage device that can store static information and instructions, a RAM (Random Access Memory ) or other type of dynamic storage device that can store information and instructions, an EEPROM (Electrically Erasable Programmable Read Only Memory ), a CD-ROM (Compact Disc Read Only Memory, compact disc Read Only Memory) or other optical disk storage, optical disk storage (including compact discs, laser discs, optical discs, digital versatile discs, blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.
The memory 303 is used for storing application program codes for executing the inventive arrangements and is controlled to be executed by the processor 301. The processor 301 is configured to execute the application code stored in the memory 303 to implement what is shown in the foregoing method embodiments.
Among them, electronic devices include, but are not limited to: mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and the like, and stationary terminals such as digital TVs, desktop computers, and the like. But may also be a server or the like. The electronic device shown in fig. 4 is only an example and should not be construed as limiting the functionality and scope of use of the embodiments of the application.
Embodiments of the present application provide a computer-readable storage medium having a computer program stored thereon, which when run on a computer, causes the computer to perform the corresponding method embodiments described above. Compared with the prior art, when the coal particles with larger granularity and the coal particles with smaller granularity in raw coal are mixed for dense medium separation, the coal particles with smaller granularity influence the separation speed of the coal particles with larger granularity, so that the whole separation time is longer; according to the scheme, before the heavy medium separation equipment is used, the coal particles with larger granularity and the coal particles with smaller granularity are separated by using the screening equipment, so that the difference value between the coal particle sizes entering the same heavy medium separation equipment can be reduced, the separation time of the coal particles with larger granularity is shortened, the time of occupying the space in the heavy medium separation equipment is shortened, and the unit feeding volume of the follow-up heavy medium separation equipment is increased; determining a proper unit feeding volume for each raw coal group according to the volume of coal particles in the raw coal group, and feeding the raw coal group corresponding heavy medium sorting equipment based on the unit feeding volume so as to reduce the time for sorting all raw coal; unlike the related art that the screening device is used for ensuring that the dense medium separation device can produce the clean coal, the method utilizes the screening device to promote the separation speed so as to produce the clean coal more quickly.
It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited in order and may be performed in other orders, unless explicitly stated herein. Moreover, at least some of the steps in the flowcharts of the figures may include a plurality of sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, the order of their execution not necessarily being sequential, but may be performed in turn or alternately with other steps or at least a portion of the other steps or stages.
The foregoing is only a partial embodiment of the present application, and it should be noted that it will be apparent to those skilled in the art that modifications and adaptations can be made without departing from the principles of the present application, and such modifications and adaptations should and are intended to be comprehended within the scope of the present application.
Claims (10)
1. An intelligent control method for dense medium separation is characterized by comprising the following steps:
acquiring size information of coal particles in each raw coal group, wherein each raw coal group is obtained by screening raw coal by screening equipment according to a preset granularity range;
Determining a unit target sorting volume corresponding to the size information according to the size information and the history information corresponding to each raw coal group, wherein the history information comprises a plurality of pieces of history size information and history unit sorting volumes corresponding to the history size information, the unit target sorting volume is a raw coal volume which can be sorted in unit time when raw coal corresponding to the size information of the raw coal group is processed by a medium sorting device, and the history unit sorting volume is a raw coal volume which can be sorted in unit time when the raw coal corresponding to the history size information is processed by the medium sorting device;
determining a unit feeding volume corresponding to the raw coal group according to the unit target sorting volume;
and controlling feeding equipment based on the unit feeding volume for each raw coal group, wherein the feeding equipment is used for pouring the raw coal group into the corresponding heavy medium sorting equipment of the raw coal group according to the unit feeding volume.
2. The intelligent control method for dense medium sorting according to claim 1, further comprising, before determining a unit feed volume corresponding to the raw coal group according to the unit target sorting volume:
acquiring a fault unit feeding volume of raw coal groups corresponding to faults of dense medium separation equipment;
Correspondingly, according to the unit target sorting volume, determining the unit feeding volume corresponding to the raw coal group comprises the following steps:
determining an initial unit target sorting volume according to the unit target sorting volume;
calculating the difference value of the initial unit target sorting volume and the fault unit feeding volume;
judging whether the difference value is smaller than a set deviation threshold value, if so, determining a preset unit target sorting volume as the unit target sorting volume; if not, the initial unit target sorting volume is determined as the unit target sorting volume.
3. The intelligent control method for dense medium sorting according to claim 1, wherein the obtaining the size information corresponding to each raw coal group comprises:
acquiring the weight of raw coal at a discharge port and the number of coal particles corresponding to a raw coal group feed port of the screening equipment corresponding to each raw coal group at the current moment;
obtaining the particle size of coal particles at a feed inlet of heavy medium separation equipment according to the density of raw coal, the weight of the raw coal and the number of the coal particles; and taking the granularity of the coal particles at the feed inlet as the size information.
4. The intelligent control method for heavy medium sorting according to claim 3, wherein obtaining the number of coal particles at the discharge port of the screening device corresponding to each raw coal group and corresponding to the raw coal group feed port at the current moment comprises:
Acquiring coal particle images with preset length on a conveyor belt, wherein the conveyor belt is a conveyor belt between a raw coal group feeding port and a discharge port corresponding to the raw coal group feeding port, and the preset length is the moving length of the conveyor belt in unit time;
and determining the quantity of the coal particles at the discharge port by identifying the coal particle image.
5. The method according to claim 1, further comprising, after controlling the feeding device based on the unit feeding volume:
acquiring the real-time unit discharge volume of the clean coal at the discharge port in real time;
judging whether the unit feeding volume needs to be adjusted according to the unit discharging volume of the real-time clean coal;
if so, obtaining a unit feeding volume adjustment mode according to the unit discharging volume of the clean coal, and obtaining a new unit feeding volume according to the unit feeding volume adjustment mode.
6. The intelligent control method for dense medium sorting according to claim 5, wherein the step of judging whether the unit feeding volume needs to be adjusted according to the real-time unit discharging volume of the clean coal comprises the following steps:
selecting a real-time clean coal unit discharge volume group, wherein the real-time clean coal unit discharge volume group comprises a plurality of real-time clean coal unit discharge volumes carrying time marks;
Judging whether the real-time refined coal unit discharge volume in the real-time refined coal unit discharge volume group is in a descending trend along with the time change according to the time mark, wherein when the descending trend is shown, the unit feed volume is required to be adjusted, otherwise, the unit feed volume is not required to be adjusted.
7. The intelligent control method for dense medium sorting according to claim 5, wherein the obtaining a unit feeding volume adjustment mode according to the unit discharging volume of the clean coal comprises:
making a difference between the unit feeding volume and the real-time clean coal unit discharging volume to obtain a difference absolute value;
the method comprises the steps of obtaining idle capacity in a separation cavity, wherein the separation cavity is a structure for separating clean coal and other substances in raw coal in a heavy-medium separation device;
and determining a unit feeding volume adjustment mode according to the idle capacity in the sorting cavity and the preset rated capacity.
8. An intelligent control system for dense medium sorting, which is characterized by comprising:
the size information acquisition module is used for acquiring the size information of coal particles in each raw coal group, wherein each raw coal group is obtained by screening raw coal by screening equipment according to a preset granularity range;
The unit target sorting volume determining module is used for determining a unit target sorting volume corresponding to the size information according to the size information and the history information corresponding to each raw coal group, wherein the history information comprises a plurality of history size information and history unit sorting volumes corresponding to the history size information, the unit target sorting volume is a raw coal volume which can be sorted in unit time when raw coal corresponding to the size information of the raw coal group is processed by the medium sorting equipment, and the history unit sorting volume is a raw coal volume which can be sorted in unit time when the raw coal corresponding to the history size information is processed by the medium sorting equipment;
the unit feeding volume determining module is used for determining the unit feeding volume corresponding to the raw coal group according to the unit target sorting volume;
and the feeding module is used for controlling feeding equipment based on the unit feeding volume aiming at each raw coal group, wherein the feeding equipment is used for pouring the raw coal group into the raw coal group corresponding heavy medium sorting equipment according to the unit feeding volume.
9. An electronic device, comprising:
at least one processor;
a memory;
at least one application program, wherein the at least one application program is stored in the memory and configured to be executed by the at least one processor, the at least one application program configured to: an intelligent control method for heavy medium sorting according to any one of claims 1 to 7 is performed.
10. A computer-readable storage medium, having stored thereon a computer program which, when executed in a computer, causes the computer to perform the dense media sorting intelligent manipulation method according to any one of claims 1 to 7.
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