Intelligent medium addition method and system for coal preparation plants

Abstract

This application proposes an intelligent medium addition method and system for coal preparation plants. The method includes: calculating the volume of the target medium to be detected in the medium library based on reverse modeling; determining the amount of medium required for mineral separation in the coal preparation system; setting multiple multi-angle rotatable spray guns at different positions in the medium library and controlling each spray gun to spray water to transport the medium to the medium addition pit, wherein the direction of the water spray from each spray gun matches the material conveying direction; calculating the volume of the transported medium in real time based on the volume of the target medium through reverse modeling, comparing the volume of the transported medium with the medium addition amount, and controlling the spray guns to stop spraying medium when the medium addition amount is met; controlling each spray gun to spray water into the medium addition pit until the medium concentration in the pit is lower than a preset concentration threshold. This method can achieve fully automated medium addition, saving labor costs and energy consumption, and improving medium addition efficiency.

Description

Technical Field

[0001] This application relates to the field of mineral sorting technology, and in particular to an intelligent medium addition method and system for coal preparation plants. Background Technology

[0002] Currently, raw coal mined from coal mines needs to be processed in coal preparation plants to separate clean coal that meets quality requirements. Among these processes, heavy media coal preparation technology, also known as heavy medium coal preparation technology, is an important mineral separation technology used in coal preparation plants. This separation technology is a gravity coal preparation scheme that uses heavy liquid or heavy suspension as the medium to achieve separation.

[0003] In related technologies, heavy media coal preparation typically involves manual addition of the medium, requiring workers to perform operations such as medium preparation and material conveying control. However, this manual method is labor-intensive, consumes significant human resources, is time-consuming, and has low efficiency. Furthermore, the lack of appropriate adjustment measures can lead to material accumulation in the medium addition pit and increased energy consumption. Summary of the Invention

[0004] This application aims to at least partially address one of the technical problems in the related art.

[0005] Therefore, the first objective of this application is to propose an intelligent medium addition method for coal preparation plants. This method can achieve fully automated medium addition, save labor costs and energy consumption, improve medium addition efficiency, and solve the technical problems of high labor intensity, low work efficiency, serious siltation in the medium addition pit, and high energy consumption caused by existing manual medium addition.

[0006] The second objective of this application is to propose an intelligent medium addition system for coal preparation plants;

[0007] The third objective of this application is to provide a non-transitory computer-readable storage medium.

[0008] To achieve the above objectives, a first aspect of this application provides an intelligent medium addition method for coal preparation plants, the method comprising the following steps:

[0009] The volume of the target medium to be detected in the medium library is calculated based on reverse modeling.

[0010] Determine the amount of medium required for mineral separation in the coal preparation system of the coal preparation plant;

[0011] Multiple multi-angle rotatable spray guns are set at different positions in the medium library, and each spray gun is controlled to spray water to transport the medium to the medium addition pit. When adding the medium, the direction of the water spray from each spray gun is matched with the material conveying direction.

[0012] Based on the volume of the target medium, the volume of the delivered medium is calculated in real time through reverse modeling, and the volume of the delivered medium is compared with the amount of medium added. If the volume of the delivered medium meets the amount of medium added, each spray gun is controlled to stop spraying medium.

[0013] Control each of the spray guns to spray water into the medium filling pit until the concentration of the medium in the medium filling pit is lower than a preset concentration threshold.

[0014] Optionally, in one embodiment of this application, the method of calculating the volume of the target medium to be detected in the medium library based on reverse modeling includes: setting a three-dimensional laser scanning system in the medium library, performing reverse modeling based on the three-dimensional point cloud data obtained by the three-dimensional laser scanning system, and calculating the volume of the target medium based on the digital model generated by reverse modeling.

[0015] Optionally, in one embodiment of this application, the method of calculating the volume of the target medium to be detected in the medium library based on reverse modeling further includes: setting a movable camera or multiple fixed-position cameras in the medium library, controlling the set cameras to perform oblique photography; performing reverse modeling based on the images acquired by oblique photography, and calculating the volume of the target medium based on the digital model generated by reverse modeling.

[0016] Optionally, in one embodiment of this application, the method of calculating the volume of the target medium to be detected in the medium library based on reverse modeling further includes: controlling the UAV to perform oblique photography in the medium library, performing reverse modeling based on the images acquired by the oblique photography, and calculating the volume of the target medium based on the digital model generated by the reverse modeling.

[0017] Optionally, in one embodiment of this application, before calculating the volume of the target medium to be detected in the media library based on reverse modeling, the method further includes: calculating the environmental volume of the media library; the calculation of the volume of the target medium to be detected in the media library based on reverse modeling further includes: determining the volume of the target medium by combining the environmental volume and the volume output by the digital model.

[0018] Optionally, in one embodiment of this application, before controlling each of the spray guns to spray water to deliver the medium to the medium filling pit, the method further includes: transporting the medium, which is at a distance greater than a first distance from the medium filling pit, to a location within a second distance from the medium filling pit using a crane grab bucket.

[0019] To achieve the above objectives, a second aspect of this application also proposes an intelligent medium-addition system for a coal preparation plant, comprising the following modules:

[0020] The calculation module is used to calculate the volume of the target medium to be detected in the medium library based on reverse modeling.

[0021] The determination module is used to determine the amount of medium required for mineral separation in the coal preparation system of a coal preparation plant;

[0022] The first control module is used to set multiple multi-angle rotatable spray guns at different positions in the medium library, and control each spray gun to spray water to transport the medium to the medium addition pit, wherein when adding the medium, the direction of the water spray from each spray gun is matched with the material conveying direction.

[0023] The second control module is used to calculate the volume of the delivered medium in real time based on the volume of the target medium through reverse modeling, and compare the volume of the delivered medium with the amount of medium added. If the volume of the delivered medium meets the amount of medium added, the module controls each spray gun to stop spraying medium.

[0024] The third control module is used to control each of the spray guns to spray water into the medium filling pit until the concentration of the medium in the medium filling pit is lower than a preset concentration threshold.

[0025] Optionally, in one embodiment of this application, the calculation module is specifically used to: set up a three-dimensional laser scanning system in the medium library, perform reverse modeling based on the three-dimensional point cloud data obtained by the three-dimensional laser scanning system, and calculate the volume of the target medium based on the digital model generated by the reverse modeling.

[0026] Optionally, in one embodiment of this application, the calculation module is specifically used for: setting a movable camera or multiple fixed-position cameras in the medium library, controlling the set cameras to perform oblique photography; performing reverse modeling based on the images acquired by oblique photography, and calculating the volume of the target medium based on the digital model generated by reverse modeling.

[0027] To implement the above embodiments, a third aspect of this application also proposes a non-transitory computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the intelligent medium addition method for coal preparation plants in the above embodiments.

[0028] The technical solution provided by the embodiments of this application brings at least the following beneficial effects: This application sets up multiple spray guns that can rotate at multiple angles to transport the medium, and through volume calculation based on reverse modeling, the time to stop adding the medium can be determined, thereby enabling fully automatic medium addition. This makes the entire production process virtually unattended, reducing the labor costs associated with medium addition, alleviating the workload of workers, and improving the efficiency and accuracy of the amount of medium provided. Furthermore, when the medium addition process is basically complete, water is added until the medium concentration in the medium addition pit is lower than a preset concentration threshold, which can prevent material sedimentation and caking, effectively preventing material accumulation in the medium addition pit. This application also reduces rinsing time by adjusting the angle of the flushing spray guns to control the water flow direction to be consistent with the material conveying direction, further improving medium addition efficiency and reducing the energy consumption required for the rinsing process.

[0029] Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0030] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein:

[0031] Figure 1 This is a flowchart of an intelligent media addition method for a coal preparation plant proposed in an embodiment of this application;

[0032] Figure 2 This is a schematic diagram illustrating an application scenario within a media library as proposed in an embodiment of this application;

[0033] Figure 3 This is a schematic diagram illustrating another application scenario within a media library as proposed in an embodiment of this application;

[0034] Figure 4 This is a flowchart illustrating a specific intelligent media addition method for a coal preparation plant, as proposed in an embodiment of this application.

[0035] Figure 5 This is a schematic diagram of the structure of an intelligent medium addition system for a coal preparation plant proposed in an embodiment of this application. Detailed Implementation

[0036] Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain the present invention, and should not be construed as limiting the present invention.

[0037] The following description, with reference to the accompanying drawings, illustrates an intelligent medium addition method and system for coal preparation plants proposed in the embodiments of the present invention.

[0038] Figure 1 This is a flowchart of an intelligent media addition method for a coal preparation plant proposed in an embodiment of this application, as shown below. Figure 1 As shown, the method includes the following steps:

[0039] Step S101: Calculate the volume of the target medium to be detected in the medium library based on reverse modeling.

[0040] The target medium to be tested is the medium already stored in the medium library of the coal preparation plant, which is used to calculate the volume of the transported medium in the subsequent process. For example, the target medium can be all the media currently in the medium library.

[0041] Reverse modeling is a method of building digital models based on real-world people and objects. It involves collecting on-site data using scanning equipment, interpreting the data at the back end, and automatically or semi-automatically building a 3D model.

[0042] Specifically, this application utilizes various measuring devices to scan a media library, obtaining point cloud data of the media and other items within the library. For example, dense point cloud data of the media library can be acquired through radar scanning or panoramic photography for 3D reverse modeling based on scanning or photographs. Then, a 3D digital model is generated by calculating the density and spatial location of the point cloud. This constructed 3D digital model can be a model of the media library containing all internal objects, or it can be a model specific to the target media being tested. Furthermore, data analysis and calculations are performed on the generated model to determine the volume of the target media.

[0043] In specific implementation, the following are some possible solutions. As the first possible implementation, a three-dimensional laser scanning system is set up in the medium library, and reverse modeling is performed based on the three-dimensional point cloud data obtained by the three-dimensional laser scanning system. The volume of the target medium is then calculated based on the digital model generated by the reverse modeling.

[0044] In this embodiment, the three-dimensional laser scanning system may include multiple lidars, and the scanning range of the three-dimensional laser scanning system covers the entire medium library. Each lidar can emit multiple laser lines to perform high-speed non-repetitive scanning simultaneously, and can distribute more point cloud data per second within its scanning line of sight to improve the density of the acquired point cloud.

[0045] As a second possible implementation, a movable camera or multiple fixed-position cameras are set up in the media library, and the set cameras are controlled to perform oblique photography. Then, reverse modeling is performed based on the images acquired by the oblique photography, and the volume of the target medium is calculated based on the digital model generated by the reverse modeling.

[0046] In this embodiment, as Figure 2 As shown, multiple fixed-position cameras 10 can be set at different locations within the media library. Figure 2 (Using three as an example), the number of fixed-position cameras 10 and the position of each camera can be determined according to the actual situation such as the volume of the media library to ensure that images of the entire media library can be captured.

[0047] Or, such as Figure 3 As shown, a movable camera 10 can be installed inside the media library using methods such as a rail mount. The movable camera 10 moves along a preset trajectory, continuously capturing images from different locations within the media library. By setting the camera's track and shooting angle, it is ensured that images of the entire media library can be captured.

[0048] In this embodiment, during image scanning, a mobile camera or multiple fixed-position cameras are controlled to perform oblique photography. Oblique photography involves controlling the same camera to simultaneously capture images from five different angles, including a vertical angle and four tilted angles. This captures high-resolution textures of target media and other objects within the media library from different angles, obtaining denser point cloud data. This improves the accuracy and completeness of the constructed digital model, thereby increasing the accuracy of the calculated target media volume.

[0049] As a third possible implementation, the volume of the target medium to be detected in the medium library can be calculated based on reverse modeling. Alternatively, the UAV can be controlled to perform oblique photography in the medium library, and reverse modeling can be performed based on the images acquired by the oblique photography. The volume of the target medium can then be calculated based on the digital model generated by the reverse modeling.

[0050] In this embodiment, multiple sensors are mounted on a drone to simultaneously acquire images from five different angles, including a vertical one and four tilted ones. This allows the drone to capture images of the top surface, sides, and areas within the media library. By adjusting the drone's flight path, it is ensured that images of the entire media library can be captured.

[0051] To further improve the accuracy of the calculated volume of the target medium to be detected, in one embodiment of this application, before calculating the volume of the target medium to be detected in the media library based on reverse modeling, the method further includes: calculating the environmental volume of the media library. The environmental volume is the volume of media that can be contained, calculated based on the size information of the media library, the environment within it that can accommodate media, and the space within it used for other purposes. The specific calculation method can be determined according to the actual situation.

[0052] Furthermore, in this embodiment, when calculating the current volume of the target medium in the media library, the volume of the target medium can be determined by combining the environmental volume and the volume output by the digital model. That is, in the above embodiment, when constructing a model to calculate the volume of the target medium through reverse modeling, the volume of the target medium is jointly determined based on the environmental volume and the volume calculated based on the digital model. For example, the volume output by the digital model is adjusted based on the environmental volume, and if it is determined that the volume calculated based on the digital model is less than the environmental volume, the model calculation is considered correct.

[0053] Step S102: Determine the amount of medium required for mineral separation in the coal preparation system of the coal preparation plant.

[0054] Specifically, the amount of medium required for the coal preparation system to carry out this heavy medium coal preparation task can be determined based on factors such as the amount of coal to be processed in this heavy medium coal preparation task and the operating parameters of the coal preparation system.

[0055] In one embodiment of this application, the required amount of medium added to the coal preparation system can be determined by inputting the amount of coal to be processed in the current heavy medium coal preparation task and the parameters of each device in the coal preparation system into a pre-determined calculation algorithm. Alternatively, the amount of medium added can be determined by combining data detected by instruments such as the density meter of the mixing tank during operation.

[0056] Step S103: Set multiple multi-angle rotatable spray guns at different positions in the medium library, and control each spray gun to spray water to transport the medium to the medium addition pit. When adding the medium, the direction of the water spray from each spray gun is matched with the material conveying direction.

[0057] Specifically, this application utilizes hydraulic material conveying, i.e., water flow flushing the medium into the medium-addition pit according to a pre-set material conveying direction, so that the material in the medium-addition pit can be used for heavy medium coal preparation. Specifically, this application uses a multi-angle rotatable spray gun within the medium reservoir, such as a spray gun capable of horizontal or vertical rotation to change the flushing angle, as a flushing device. The spray gun propels the medium by spraying water.

[0058] For example, such as Figure 2 or Figure 3 As shown, multiple spray guns 20 can be installed at different locations near the medium-addition pit. Four are illustrated in the figure. The number and location of the spray guns 20 can be determined based on various factors, such as the amount of medium added in a typical coal preparation plant and the location of the medium-addition pit. Each spray gun 20 includes a rotating component for adjusting its angle; preferably, each spray gun can be controlled to rotate 360°.

[0059] It should be noted that, during the media addition process, this application controls the direction of the water jet from each spray gun to match the pre-planned material conveying direction corresponding to that spray gun. That is, the spray angle of each spray gun is adjusted so that the water flow direction is substantially consistent with the material conveying direction, or within an allowable deviation range. It can be understood that when the water flow direction is consistent with the material conveying direction, the water flow can more effectively flush the medium, causing the medium to move along the material conveying track. This application, by adjusting the water flow direction of each spray gun to be consistent with its own material conveying direction, provides more sufficient power to move the medium in the correct direction, thereby using less water resources to flush the medium into the media addition pit with higher efficiency and reduced energy consumption.

[0060] Step S104: Based on the volume of the target medium, calculate the volume of the delivered medium in real time through reverse modeling, and compare the volume of the delivered medium with the amount of medium added. If the volume of the delivered medium meets the amount of medium added, control each spray gun to stop spraying medium.

[0061] Specifically, this application uses the volume of the medium calculated before medium transportation in step S101 to continuously calculate the volume of the medium that has been hydraulically transported in real time through the reverse modeling system built at that time. Then, the calculated volume of the transported medium is compared with the amount of medium added required for this sorting determined in step S102. When the transported medium reaches the calculated value of the required amount of medium added, the spray gun is stopped.

[0062] In one embodiment of this application, when calculating the volume of the currently transported medium, the volume of the medium present in the medium library at the current moment can be calculated using an existing reverse modeling system. The specific calculation process can refer to the process of calculating the volume of the target medium based on reverse modeling in the above embodiment, which will not be repeated here. Then, the volume of the target medium is subtracted from the volume of the currently existing medium calculated at the current moment to obtain the volume of the transported medium. It can be understood that the volume of the transported medium includes the volume transported to the medium filling pit and the volume of the material being transported on the material conveying pipeline. Therefore, when it is determined that the difference between the above two is equal to the required amount of medium to be added, the spray gun can be controlled to stop flushing the fresh medium in real time, and the work can be stopped after the medium on the material conveying pipeline is transferred to the medium filling pit. Since the actual amount of medium added is equal to the required amount of medium added, the accuracy of medium addition is improved. As another possible implementation, the volume of the hydraulically transported medium can also be continuously calculated to the modeling system, and the calculation results can be accumulated. When the accumulated result reaches the theoretical calculation value, the spray gun flushing can be stopped.

[0063] In one embodiment of this application, when comparing to determine whether the required amount of medium is met, the comparison can be made from the perspective of volume. When the calculated result of the required amount of medium for sorting is in units of mass, the volume of the target medium can be calculated in step S101, and the volume of the target medium can be multiplied by the medium density to obtain the medium mass. The comparison can then be made from the perspective of mass to determine whether the required amount of medium is met.

[0064] Step S105: Control each spray gun to spray water into the medium filling pit until the medium concentration in the medium filling pit is lower than the preset concentration threshold.

[0065] Specifically, the spray angle of each spray gun is adjusted so that it rotates to flush water into the medium-adding pit. By flushing water into the pit, the concentration of the medium inside is continuously reduced, thereby preventing material accumulation. The preset concentration threshold is determined in advance based on historical operating data, expert knowledge, and extensive experimental results, representing the highest threshold of the solution in the pit at which the medium will not settle. When water is added until the medium concentration in the pit falls below this concentration threshold, flushing is stopped, which significantly avoids medium deposition and caking, effectively preventing siltation.

[0066] In one embodiment of this application, before controlling each spray gun to spray water to deliver the medium to the medium filling pit, the method further includes: transporting the medium, which is at a distance greater than a first distance from the medium filling pit, to a location within a second distance from the medium filling pit using a crane grab bucket.

[0067] In this embodiment, the first distance and the second distance are used to indicate the distance from the medium filling pit. When the distance from the medium filling pit is greater than the first distance, it indicates that the medium is far from the medium filling pit. When the distance from the medium filling pit is less than the second distance, it indicates that the medium is close to the medium filling pit. This embodiment transports the medium that is far from the medium filling pit to a position closer to the medium filling pit before flushing, which can reduce the hydraulic transport distance, thereby shortening the time required for hydraulic flushing and reducing energy consumption.

[0068] In summary, the intelligent medium-addition method for coal preparation plants in this application embodiment uses multiple multi-angle rotatable spray guns to transport the medium. Through volume calculation based on reverse modeling, the timing for stopping medium addition can be determined, enabling fully automated medium addition. This reduces labor costs associated with medium addition, alleviates the workload of workers, and improves the efficiency and accuracy of the supplied medium. Furthermore, when the medium addition process is essentially complete, water is added until the medium concentration in the addition pit is below a preset concentration threshold, preventing material sedimentation and caking, and effectively preventing material accumulation in the pit. The method also reduces flushing time by adjusting the angle of the flushing spray guns to ensure the water flow direction aligns with the material transport direction, further improving medium addition efficiency and reducing energy consumption during the flushing process.

[0069] To more clearly illustrate the processing flow of the intelligent media addition method for coal preparation plants according to the embodiments of this application, a detailed description of a specific embodiment of the intelligent media addition method for coal preparation plants will be provided below. Figure 4 This is a flowchart illustrating a specific intelligent media addition method for a coal preparation plant, as proposed in an embodiment of this application.

[0070] like Figure 4 As shown, the method includes the following steps:

[0071] Step S401: Determine the environmental volume of the media library through calculation.

[0072] Step S402: Set up a reverse modeling system in the media library to calculate the media volume.

[0073] Step S403: Determine the current volume of the medium through the first two steps, and determine the weight of the medium based on the density.

[0074] Step S404: Determine the required amount of medium to be added in the coal preparation system based on theoretical calculations.

[0075] Step S405: A flushing device is installed in the medium reservoir, which can control the water flow direction by rotating the spray gun horizontally or vertically. When adding medium, the water flow direction is basically consistent with the material conveying direction.

[0076] In step S406, the volume of the medium being hydraulically transported is continuously calculated using the reverse modeling system established in step S402, and compared with the theoretical calculation value in step S404. When the calculated value is reached, the spray gun stops spraying the medium.

[0077] Step S407: Adjust the spray gun angle to the medium filling pit, and continuously reduce the medium concentration in the pit by flushing water into the medium filling pit to prevent siltation.

[0078] All the control processes in the above steps can be calculated and controlled by the host computer in the coal preparation plant. For example, the host computer can be connected to the reverse modeling system and the spray gun via wired or wireless means, receive data collected by the reverse modeling system and other equipment, perform statistical analysis, calculate the volume, and then issue control commands to the spray gun.

[0079] It should be noted that the specific implementation of each step in the method of this embodiment can be referred to the relevant description of the above embodiments. The implementation principle is similar, and will not be repeated here.

[0080] To achieve the above embodiments, this application also proposes an intelligent medium addition system for coal preparation plants. Figure 5 This is a schematic diagram of the structure of an intelligent medium-addition system for a coal preparation plant, as proposed in an embodiment of this application. Figure 5As shown, the system includes a calculation module 100, a determination module 200, a first control module 300, a second control module 400, and a third control module 500.

[0081] The calculation module 100 is used to calculate the volume of the target medium to be detected in the medium library based on reverse modeling.

[0082] Module 200 is used to determine the amount of medium required for mineral separation in the coal preparation system of a coal preparation plant.

[0083] The first control module 300 is used to set multiple multi-angle rotatable spray guns at different positions in the medium library and control each spray gun to spray water to transport the medium to the medium addition pit. When adding the medium, the direction of the water spray from each spray gun is matched with the material conveying direction.

[0084] The second control module 400 is used to calculate the volume of the delivered medium in real time based on the volume of the target medium through reverse modeling, and compare the volume of the delivered medium with the amount of medium added. If the volume of the delivered medium meets the amount of medium added, the module controls each spray gun to stop spraying medium.

[0085] The third control module 500 is used to control each spray gun to spray water into the medium filling pit until the concentration of the medium in the medium filling pit is lower than the preset concentration threshold.

[0086] Optionally, in one embodiment of this application, the calculation module 100 is specifically used to: set up a three-dimensional laser scanning system in the medium library, perform reverse modeling based on the three-dimensional point cloud data obtained by the three-dimensional laser scanning system, and calculate the volume of the target medium based on the digital model generated by the reverse modeling.

[0087] Optionally, in one embodiment of this application, the calculation module 100 is specifically used for: setting a movable camera or multiple fixed-position cameras in the medium library, controlling the set cameras to perform oblique photography; performing reverse modeling based on the images acquired by oblique photography, and calculating the volume of the target medium based on the digital model generated by reverse modeling.

[0088] Optionally, in one embodiment of this application, the calculation module 100 is specifically used to: control the UAV to perform oblique photography in the medium library, perform reverse modeling based on the images acquired by the oblique photography, and calculate the volume of the target medium based on the digital model generated by the reverse modeling.

[0089] Optionally, in one embodiment of this application, the calculation module 100 is further configured to: calculate the environmental volume of the media library; and determine the volume of the target media by combining the environmental volume and the volume output by the digital model.

[0090] Optionally, in one embodiment of this application, the first control module 300 is further configured to: transport a medium that is at a distance greater than a first distance from the medium filling pit to a location within a second distance from the medium filling pit using a crane grab bucket.

[0091] It should be noted that the foregoing explanation of the embodiment of the intelligent medium addition method for coal preparation plants also applies to the system of this embodiment, and will not be repeated here.

[0092] In summary, the intelligent medium-addition system for coal preparation plants in this application embodiment can be equipped with multiple multi-angle rotatable spray guns to convey the medium. Through volume calculation based on reverse modeling, the timing for stopping medium addition can be determined, enabling fully automated medium addition. This reduces the labor costs associated with medium addition, alleviates the workload of workers, and improves the efficiency and accuracy of the supplied medium. Furthermore, when the medium addition process is essentially complete, water is added until the medium concentration in the addition pit is below a preset concentration threshold, preventing material sedimentation and caking, and effectively preventing material accumulation in the pit. The system also reduces flushing time by adjusting the angle of the flushing spray guns to ensure the water flow direction aligns with the material conveying direction, further improving medium addition efficiency and reducing the energy consumption required for the flushing process.

[0093] To implement the above embodiments, this application also proposes a non-transitory computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the intelligent medium addition method for coal preparation plants as described in any of the above embodiments.

[0094] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0095] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of the technical features being referred to. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of such features. Throughout the description of this application, "plurality" means at least two, for example, two, three, etc., unless otherwise specifically defined.

[0096] Any process or method description in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as should be understood by those skilled in the art to which embodiments of this application pertain.

[0097] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Furthermore, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing it in another suitable manner if necessary, and then storing it in a computer memory.

[0098] It should be understood that various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0099] Those skilled in the art will understand that all or part of the steps of the methods in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.

[0100] Furthermore, the functional units in the various embodiments of this application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0101] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of this application.

Claims

1. A method for intelligent media addition in a coal preparation plant, characterized in that, The following steps are involved: The volume of the target medium to be detected in the medium library is calculated based on reverse modeling. Determine the amount of medium required for mineral separation in the coal preparation system of the coal preparation plant; Multiple multi-angle rotatable spray guns are set at different positions in the medium library, and each spray gun is controlled to spray water to transport the medium to the medium addition pit. When adding the medium, the direction of the water spray from each spray gun is matched with the material conveying direction. Based on the volume of the target medium, the volume of the delivered medium is calculated in real time through reverse modeling, and the volume of the delivered medium is compared with the amount of medium added. If the volume of the delivered medium meets the amount of medium added, each spray gun is controlled to stop spraying medium. Control each of the spray guns to spray water into the medium filling pit until the concentration of the medium in the medium filling pit is lower than a preset concentration threshold.

2. The intelligent media addition method for coal preparation plants according to claim 1, characterized in that, The method of calculating the volume of the target medium to be detected in the medium library based on reverse modeling includes: A three-dimensional laser scanning system is set up in the medium library. Reverse modeling is performed based on the three-dimensional point cloud data obtained by the three-dimensional laser scanning system, and the volume of the target medium is calculated based on the digital model generated by the reverse modeling.

3. The intelligent media addition method for coal preparation plants according to claim 1, characterized in that, The method of calculating the volume of the target medium to be detected in the medium library based on reverse modeling also includes: A movable camera or multiple fixed-position cameras are set in the media library, and the set cameras are controlled to perform tilt photography. Reverse modeling is performed based on images acquired by oblique photography, and the volume of the target medium is calculated based on the digital model generated by reverse modeling.

4. The intelligent media addition method for coal preparation plants according to claim 1, characterized in that, The method of calculating the volume of the target medium to be detected in the medium library based on reverse modeling also includes: The drone is controlled to perform oblique photography in the medium library. Reverse modeling is performed based on the images acquired by the oblique photography, and the volume of the target medium is calculated based on the digital model generated by the reverse modeling. The oblique photography involves controlling the same camera to simultaneously acquire images from five different angles: one vertical and four oblique angles. This acquires high-resolution textures of the target medium items in the medium library from different angles, resulting in denser point cloud data.

5. The intelligent media addition method for coal preparation plants according to any one of claims 2-4, characterized in that, Before calculating the volume of the target medium to be detected in the medium library using the inverse modeling method, the following steps are also included: Calculate the environmental volume of the media library; The method of calculating the volume of the target medium to be detected in the medium library based on reverse modeling also includes: The volume of the target medium is determined by combining the environmental volume and the volume output by the digital model.

6. The intelligent medium-addition method for coal preparation plants according to claim 1, further comprising, before controlling each of the spray guns to spray water flow to deliver the medium to the medium-addition pit: The medium, which is at a distance greater than a first distance from the medium filling pit, is transported by the crane grab bucket to a location within a second distance from the medium filling pit.

7. An intelligent medium-addition system for a coal preparation plant, characterized in that, include: The calculation module is used to calculate the volume of the target medium to be detected in the medium library based on reverse modeling. The determination module is used to determine the amount of medium required for mineral separation in the coal preparation system of a coal preparation plant; The first control module is used to set multiple multi-angle rotatable spray guns at different positions in the medium library, and control each spray gun to spray water to transport the medium to the medium addition pit, wherein when adding the medium, the direction of the water spray from each spray gun is matched with the material conveying direction. The second control module is used to calculate the volume of the delivered medium in real time based on the volume of the target medium, compare the volume of the delivered medium with the amount of medium added, and control each of the spray guns to stop spraying medium when the volume of the delivered medium meets the amount of medium added. The third control module is used to control each of the spray guns to spray water into the medium filling pit until the concentration of the medium in the medium filling pit is lower than a preset concentration threshold.

8. The intelligent medium-addition system for coal preparation plants according to claim 7, characterized in that, The computing module is specifically used for: A three-dimensional laser scanning system is set up in the medium library. Reverse modeling is performed based on the three-dimensional point cloud data obtained by the three-dimensional laser scanning system, and the volume of the target medium is calculated based on the digital model generated by the reverse modeling.

9. The intelligent medium-addition system for coal preparation plants according to claim 7, characterized in that, The computing module is specifically used for: A movable camera or multiple fixed cameras are set in the media library, and the set cameras are controlled to perform oblique photography. Oblique photography means controlling the same camera to simultaneously capture images from five different angles, including one vertical angle and four oblique angles, to capture high-resolution textures of target media items in the media library at different angles and obtain denser point cloud data. Reverse modeling is performed based on images acquired by oblique photography, and the volume of the target medium is calculated based on the digital model generated by reverse modeling.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the intelligent media addition method for coal preparation plants as described in any one of claims 1-6.

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