Coal gangue recognition equipment and coal gangue dry separation device

Abstract

The utility model provides coal gangue recognition equipment and a coal gangue dry separation device, and relates to the field of coal gangue separation equipment. And then the image processing board card is used for processing the collected coal gangue image, finally, analysis of the coal gangue is completed through the image recognition processor, the analysis result is fed back to the control end of the coal gangue dry separation device through the industrial personal computer, and corresponding adjusting parameters are generated till specific indexes are met. According to the scheme, automatic generation of parameter adjustment is realized, and the defects of low adjustment parameter acquisition efficiency and poor adjustment effect caused by manual observation are overcome.

Description

Technical Field

[0001] The utility model relates to the field of coal gangue sorting equipment, in particular to coal gangue identification equipment and a coal gangue dry sorting device. Background Art

[0002] It is very important to distinguish between coal stone and gangue in the process of coal mining. Existing technology can use specific dry sorting devices to realize the identification and separation of coal gangue. The sorting effect of the dry sorting device for coal gangue is closely related to the coal quality. When the coal quality changes, the corresponding sorting parameters need to be modified to meet the sorting requirements.

[0003] The parameter modification process is a complex process, which requires targeted adjustments based on the actual conditions of coal and gangue until the sorting effect meets the requirements. The conventional practice is to manually observe the gangue and then feed back to the control end of the gangue dry sorting device to adjust the corresponding parameters. After the parameter modification is completed, manual observation is still required until specific indicators are met. However, this method has low execution efficiency and manual observation is somewhat subjective, resulting in poor adjustment effect of sorting parameters. Utility Model Content

[0004] In view of this, the purpose of the utility model is to provide a gangue identification device and a gangue dry selection device, which uses the image acquisition module in the gangue identification device to collect images of the gangue, and then uses the image processing board to process the collected gangue images, and finally completes the analysis of the gangue through the image recognition processor, and the analysis results are fed back to the control end of the gangue dry selection device through the industrial computer and generate corresponding adjustment parameters until specific indicators are met. This solution realizes the automatic generation of parameter adjustment, which makes up for the defects of low efficiency and poor adjustment effect of adjustment parameters caused by manual observation.

[0005] In a first aspect, an embodiment of the utility model provides a coal gangue identification device, which includes: an image acquisition module, an image processing board, an image recognition processor and an industrial computer; wherein an image sensor is provided in the image acquisition module, and the output end of the image acquisition module is connected to the input end of the image processing board; the output end of the image processing board is connected to the first input end of the industrial computer; the first output end of the industrial computer is connected to the input end of the image recognition processor; the output end of the image recognition processor is connected to the second input end of the industrial computer;

[0006] The image sensor in the image acquisition module is used to transmit the collected coal gangue image to the image processing board through the output end of the image acquisition module;

[0007] The image processing board is used to process the gangue image according to the requirements of the image recognition processor and transmit it to the image recognition processor through the industrial computer;

[0008] The image recognition processor is used to obtain the gangue data in the gangue image and transmit the gangue data to the industrial computer;

[0009] The industrial computer is used to transmit the coal gangue image to the image recognition processor, and is also used to receive the coal gangue data fed back by the image recognition processor.

[0010] In some embodiments, the gangue identification device further includes: a battery module; the battery module is respectively connected to the image acquisition module, the image processing board, the image recognition processor, and the power supply port of the industrial computer.

[0011] In some embodiments, the gangue identification device further includes: a display screen; wherein the display screen is connected to the second output terminal of the industrial computer.

[0012] In some embodiments, the gangue identification device further includes: a router; a data input terminal of the router is connected to a third output terminal of the industrial computer; and a data output terminal of the router is connected to a third input terminal of the industrial computer.

[0013] In some embodiments, the gangue identification device further includes: a housing; a fixed area is provided in the housing, and the fixed area is used to respectively fix the image acquisition module, the image processing board, the image recognition processor and the industrial computer.

[0014] In some embodiments, the image recognition processor includes multiple NVIDIA deep learning processing chips.

[0015] In some implementations, a video playback component is provided in the industrial computer for playing the coal gangue image.

[0016] In some embodiments, the gangue identification device further includes: a data storage device; the data storage device is connected to a data storage terminal of an industrial computer; and the data storage device is used to store the gangue image.

[0017] In some embodiments, the image acquisition module also includes: an exposure controller; the exposure controller is connected to the image sensor; the exposure controller is used to set exposure parameters according to ambient light parameters and coal gangue speed parameters; the exposure parameters are used to control the image sensor to acquire and obtain coal gangue images.

[0018] In a second aspect, an embodiment of the utility model provides a gangue dry sorting device, the gangue dry sorting device comprising: a gangue dry sorting device and the gangue identification device mentioned in the first aspect;

[0019] Among them, a conveyor belt is arranged in the gangue dry sorting equipment, and the conveyor belt is used to convey the gangue and coal stone sorted by the gangue dry sorting equipment; the gangue identification equipment is fixed in the conveyor belt area.

[0020] The embodiments of the present invention bring the following beneficial effects:

[0021] The utility model provides a gangue identification device and a gangue dry selection device, the gangue identification device comprises: an image acquisition module, an image processing board, an image recognition processor and an industrial computer; wherein an image sensor is arranged in the image acquisition module, the output end of the image acquisition module is connected to the input end of the image processing board; the output end of the image processing board is connected to the first input end of the industrial computer; the first output end of the industrial computer is connected to the input end of the image recognition processor; the output end of the image recognition processor is connected to the second input end of the industrial computer The image sensor in the acquisition module is used to transmit the collected gangue image to the image processing board through the output end of the image acquisition module; the image processing board is used to process the gangue image according to the requirements of the image recognition processor and transmit it to the image recognition processor through the industrial computer; the image recognition processor is used to obtain the gangue data in the gangue image and transmit the gangue data to the industrial computer; the industrial computer is used to transmit the gangue image to the image recognition processor and also to receive the gangue data fed back by the image recognition processor. The gangue image is collected by using the image acquisition module in the gangue recognition device, and then the collected gangue image is processed by the image processing board, and finally the analysis of the gangue is completed through the image recognition processor. The analysis result is fed back to the control end of the gangue dry selection device through the industrial computer and the corresponding adjustment parameters are generated until the specific indicators are met. This solution realizes the automatic generation of parameter adjustment, makes up for the defects of low efficiency in obtaining adjustment parameters and poor adjustment effect caused by manual observation, and thus solves the above-mentioned technical problems existing in the background technology.

[0022] Other features and advantages of the utility model will be described in the subsequent description, or some features and advantages can be inferred or determined without doubt from the description, or can be learned by implementing the above-mentioned technology of the utility model.

[0023] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the following specifically cites preferred implementation modes and describes them in detail with reference to the attached drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the specific implementation methods of the utility model or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the utility model. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0025] Figure 1A schematic diagram of the structure of a coal gangue identification device provided in an embodiment of the utility model;

[0026] Figure 2 A schematic diagram of the structure of another coal gangue identification device provided by an embodiment of the utility model;

[0027] Figure 3 A schematic structural diagram of a coal gangue dry separation device provided in an embodiment of the utility model.

[0028] icon:

[0029] 10-image acquisition module; 20-image processing board; 30-image recognition processor; 40-industrial computer; 50-battery module; 60-display screen; 70-router; 80-housing; 90-data storage device;

[0030] 11-image sensor; 12-exposure controller;

[0031] 100- Gangue dry sorting equipment; 110- Conveyor belt; 200- Gangue identification equipment. DETAILED DESCRIPTION

[0032] In order to make the purpose, technical solution and advantages of the embodiments of the utility model clearer, the technical solution of the utility model will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the utility model, not all of the embodiments. Based on the embodiments of the utility model, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the utility model.

[0033] It is very important to distinguish between coal stone and gangue during coal mining. Existing technology can use specific dry sorting devices to realize the identification and separation of coal gangue. For example, TDS intelligent dry sorting machine can be used to meet the above needs. TDS intelligent dry sorting machine adopts intelligent identification method, establishes analysis models suitable for different coal quality characteristics, digitally identifies coal and gangue through big data analysis, and finally discharges gangue through intelligent execution system. The sorting effect of sorting equipment such as TDS intelligent dry sorting machine is closely related to coal quality. When the coal quality changes, it is necessary to modify the corresponding parameters according to the changes in coal quality and generate new packages to meet the sorting requirements.

[0034] It can be seen that the final sorting effect is closely related to the coal quality. When the coal quality changes, the corresponding sorting parameters need to be modified to meet the sorting requirements. The parameter modification process is a complex process, which requires targeted adjustments according to the actual conditions of coal stone and gangue until the sorting effect meets the requirements. The conventional practice is to manually observe the coal gangue and then feed it back to the control end of the coal gangue dry sorting device to adjust the corresponding parameters. After the parameter modification is completed, manual observation is still required until specific indicators are met. However, this method has low execution efficiency, and manual observation has a certain subjectivity, resulting in a relatively poor adjustment effect of the sorting parameters. Based on this, the embodiment of the utility model provides a coal gangue identification device and a coal gangue dry sorting device, which uses the image acquisition module in the coal gangue identification device to collect images of the coal gangue, and then uses the image processing board to process the collected coal gangue images, and finally completes the analysis of the coal gangue through the image recognition processor, and the analysis results are fed back to the control end of the coal gangue dry sorting device through the industrial computer and generate corresponding adjustment parameters until specific indicators are met. This solution realizes the automatic generation of parameter adjustments, making up for the defects of low efficiency in obtaining adjustment parameters and poor adjustment effects caused by manual observation.

[0035] To facilitate understanding of this embodiment, a coal gangue identification device disclosed in an embodiment of the utility model is first introduced in detail.

[0036] See also Figure 1 The structural schematic diagram of the coal gangue identification device shown in the figure comprises: an image acquisition module 10, an image processing board 20, an image recognition processor 30 and an industrial computer 40; wherein, an image sensor 11 is provided in the image acquisition module 10, and the output end of the image acquisition module 10 is connected to the input end of the image processing board 20; the output end of the image processing board 20 is connected to the first input end of the industrial computer 40; the first output end of the industrial computer 40 is connected to the input end of the image recognition processor 30; the output end of the image recognition processor 30 is connected to the second input end of the industrial computer 40.

[0037] The image sensor 11 in the image acquisition module 10 is used to transmit the collected gangue image to the image processing board 20 through the output end of the image acquisition module 10. The image acquisition module 10 collects the gangue image through the built-in image sensor 11. In layman's terms, the input end of the image acquisition module 10 is the image sensor 11, and the output end of the image acquisition module 10 is connected to the input end of the image processing board 20.

[0038] The image processing board 20 is used to process the gangue image according to the requirements of the image recognition processor 30, and then transmit it to the image recognition processor 30 through the industrial computer 40. The image processing board 20 can be understood as an image processing device, which processes the gangue image transmitted by the image acquisition module 10 to meet the use requirements of the image recognition processor 30, and then transmits the processed gangue image to the image recognition processor 30 through the industrial computer 40.

[0039] The image recognition processor 30 is used to obtain the gangue data in the gangue image and transmit the gangue data to the industrial computer 40. The image recognition processor 30 can analyze the gangue image through relevant deep learning and artificial intelligence technology, and finally obtain the corresponding gangue data.

[0040] The industrial computer 40 is used to transmit the gangue image to the image recognition processor 30, and is also used to receive the gangue data fed back by the image recognition processor 30. As the recognition center, the industrial computer 40 is used to transmit the gangue image to the image recognition processor 30 on the one hand, and on the other hand, by receiving the gangue data fed back by the image recognition processor 30, it generates the analysis results corresponding to the gangue data, and finally uses them for parameter adjustment of the gangue dry separation device.

[0041] like Figure 2 It can be seen from another gangue identification device shown that in some embodiments, the gangue identification device further includes: a battery module 50; the battery module 50 is respectively connected to the image acquisition module 10, the image processing board 20, the image recognition processor 30 and the power supply port of the industrial computer 40. The battery module 50 is mainly used to power each component in the gangue identification device, and a battery of corresponding capacity can be set according to the actual use scenario to ensure that the battery life reaches more than 8 hours under full load operation to meet the debugging requirements of one working day.

[0042] In some embodiments, the gangue identification device further includes: a display screen 60; wherein the display screen 60 is connected to the second output terminal of the industrial computer 40. The display screen 60 is mainly used to display the adjustment progress of the gangue identification device, the collection and identification of the gangue image, and in actual scenarios, the display screen 60 can also be connected to the battery module 50.

[0043] In some embodiments, the gangue identification device further includes: a router 70; a data input terminal of the router 70 is connected to a third output terminal of the industrial computer 40; a data output terminal of the router 70 is connected to a third input terminal of the industrial computer 40. The router 70 is mainly used to provide a network connection function, and a mobile communication network such as 4G and 5G can be set to meet the use requirements of the full network.

[0044] In some embodiments, the gangue identification device further includes: a housing 80; a fixed area is provided in the housing 80, and the fixed area is used to respectively fix the image acquisition module 10, the image processing board 20, the image recognition processor 30 and the industrial computer 40. The size of the housing 80 should be as compact as possible to facilitate the staff to carry.

[0045] In some embodiments, the image recognition processor 30 includes multiple NVIDIA deep learning processing chips. By setting multiple NVIDIA deep learning processing chips and using them for parallel computing, the gangue image can be analyzed by relevant deep learning and artificial intelligence technologies to finally obtain corresponding gangue data.

[0046] In some embodiments, a video player component is provided in the industrial computer for playing the gangue image. The industrial computer may have a built-in Linux operating system, in which the video player component is installed, and remote on-site monitoring and front-end video display are realized through the video component.

[0047] In some embodiments, the gangue identification device further includes: a data storage device 90; the data storage device 90 is connected to the data storage terminal of the industrial computer 40; the data storage device 90 is used to store the gangue image. The gangue image is saved in the data storage device 90 to facilitate the subsequent tracking of historical data.

[0048] In some embodiments, the image acquisition module further includes: an exposure controller 12; the exposure controller 12 is connected to the image sensor 11; the exposure controller 12 is used to set exposure parameters according to the ambient light parameters and the speed parameters of the gangue; the exposure parameters are used to control the image sensor 11 to acquire and obtain the gangue image. The setting of the exposure parameters needs to meet the requirement that the gangue in the moving state is imaged without tailing, so a shorter exposure time is required.

[0049] From the gangue identification device in the above embodiment, it can be known that the gangue image is collected by using the image acquisition module in the gangue identification device, and then the collected gangue image is processed by the image processing board, and finally the gangue analysis is completed by the image recognition processor, and the analysis result is fed back to the control end of the gangue dry selection device through the industrial computer and the corresponding adjustment parameters are generated until the specific indicators are met. This scheme realizes the automatic generation of parameter adjustment, which makes up for the defects of low efficiency of adjustment parameter acquisition and poor adjustment effect caused by manual observation.

[0050] The utility model also provides a dry separation device for coal gangue, such as Figure 3 As shown, the gangue dry sorting device comprises: a gangue dry sorting device 100 and the gangue identification device 200 mentioned in the above embodiment.

[0051] The gangue dry sorting equipment 100 is provided with a conveyor belt 110 , which is used to convey the gangue and coal stone sorted by the gangue dry sorting equipment 100 ; the gangue identification equipment 200 is fixed in the relevant area of ​​the conveyor belt 110 .

[0052] Specifically, the gangue identification device 200 can be installed at the conveyor belt 110 of clean coal or gangue, and the image acquisition module of the gangue identification device 200 can be used to collect images of clean coal and gangue on the belt. The collected image data is processed by the image processing board and finally transmitted to the image recognition processor. The image data is analyzed and calculated using the relevant deep learning algorithm of the image recognition processor to obtain accurate data of gangue in coal or coal in gangue on the belt. These data are finally fed back to the staff of the relevant remote control center through the industrial computer 40. The staff will modify the control parameters of the gangue dry sorting device 100 according to the received data; after the control parameters are issued, the gangue identification device 200 will continue to feed back the data on the belt to the staff of the remote control center, and the staff can judge whether the current index is qualified according to the feedback results. If the index is not qualified, it is necessary to continue to optimize the parameters until the results fed back by the portable video acquisition device meet the index requirements. In addition, the deep learning algorithm can be linked with the sorting equipment package to achieve real-time parameter automatic adjustment.

[0053] It can be seen that the gangue dry-selection device in this embodiment can collect images of gangue by using the image acquisition module in the gangue identification device, and then use the image processing board to process the collected gangue images, and finally complete the analysis of the gangue through the image recognition processor. The analysis results are fed back to the control end of the gangue dry-selection device through the industrial computer and generate corresponding adjustment parameters until specific indicators are met. This solution realizes the automatic generation of parameter adjustment, which makes up for the defects of low efficiency in obtaining adjustment parameters and poor adjustment effect caused by manual observation.

[0054] The gangue identification device in the gangue dry sorting device provided in the embodiment of the utility model has the same technical features as the gangue identification device provided in the aforementioned embodiment, so it can also solve the same technical problems and achieve the same technical effects. For the sake of brief description, the parts not mentioned in the embodiment part can refer to the corresponding contents in the aforementioned embodiment.

[0055] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. The device embodiments described above are merely schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some communication interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0056] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0057] In addition, each functional unit in each embodiment of the present utility model may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0058] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a non-volatile computer-readable storage medium that is executable by a processor. Based on this understanding, the technical solution of the utility model can essentially or in other words, the part that contributes to the prior art or the part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the utility model. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0059] Finally, it should be noted that the above-described embodiments are only specific implementation methods of the utility model, which are used to illustrate the technical solution of the utility model, rather than to limit it. The protection scope of the utility model is not limited thereto. Although the utility model is described in detail with reference to the above-mentioned embodiments, ordinary technicians in the field should understand that any technician familiar with the technical field can still modify the technical solution recorded in the above-mentioned embodiments within the technical scope disclosed by the utility model, or can easily think of changes, or make equivalent replacements for some of the technical features therein; and these modifications, changes or replacements do not make the essence of the corresponding technical solution deviate from the spirit and scope of the technical solution of the embodiment of the utility model, and should be included in the protection scope of the utility model. Therefore, the protection scope of the utility model should be based on the protection scope of the claims.

Claims

1. A coal gangue identification device, characterized in that: The gangue identification device comprises: an image acquisition module, an image processing board, an image recognition processor and an industrial computer; wherein the image acquisition module is provided with an image sensor, the output end of the image acquisition module is connected to the input end of the image processing board; the output end of the image processing board is connected to the first input end of the industrial computer; the first output end of the industrial computer is connected to the input end of the image recognition processor; the output end of the image recognition processor is connected to the second input end of the industrial computer; The image sensor in the image acquisition module is used to transmit the acquired coal gangue image to the image processing board through the output end of the image acquisition module; The image processing board is used to process the gangue image according to the requirements of the image recognition processor and transmit the image to the image recognition processor through the industrial computer; The image recognition processor is used to obtain the gangue data in the gangue image and transmit the gangue data to the industrial computer; The industrial computer is used to transmit the coal gangue image to the image recognition processor, and is also used to receive the coal gangue data fed back by the image recognition processor.

2. The gangue identification device according to claim 1, characterized in that: The gangue identification device further includes: a battery module; The battery module is respectively connected to the image acquisition module, the image processing board, the image recognition processor and the power supply port of the industrial computer.

3. The gangue identification device according to claim 1, characterized in that: The gangue identification device further includes: a display screen; Wherein, the display screen is connected to the second output terminal of the industrial computer.

4. The gangue identification device according to claim 1, characterized in that: The gangue identification device further includes: a router; The data input terminal of the router is connected to the third output terminal of the industrial computer; the data output terminal of the router is connected to the third input terminal of the industrial computer.

5. The gangue identification device according to claim 1, characterized in that: The gangue identification device further includes: a housing; A fixing area is provided in the housing, and the fixing area is used to fix the image acquisition module, the image processing board, the image recognition processor and the industrial computer respectively.

6. The gangue identification device according to claim 1, characterized in that: The image recognition processor includes multiple NVIDIA deep learning processing chips.

7. The gangue identification device according to claim 1, characterized in that: The industrial computer is provided with a video playing component for playing the coal gangue image.

8. The gangue identification device according to claim 1, characterized in that: The gangue identification device further includes: a data storage device; The data storage device is connected to the data storage terminal of the industrial computer; the data storage device is used to store the coal gangue image.

9. The gangue identification device according to claim 1, characterized in that: The image acquisition module further includes: an exposure controller; the exposure controller is connected to the image sensor; The exposure controller is used to set exposure parameters according to ambient light parameters and coal gangue velocity parameters; the exposure parameters are used to control the image sensor to collect and obtain the coal gangue image.

10. A dry separation device for coal gangue, characterized in that: The gangue dry separation device comprises: a gangue dry separation device and a gangue identification device according to any one of claims 1 to 9; Wherein, the gangue dry sorting equipment is provided with a conveyor belt, and the conveyor belt is used to convey the gangue and coal stone sorted by the gangue dry sorting equipment; the gangue identification equipment is fixed in the conveyor belt area.

Images