A sampling device for sampling quality detection in mining areas
By configuring a crushing device in the sampling device and controlling the servo motor using image and weight data analysis, the problem of low sampling efficiency caused by inconsistent size of coal mine blocks is solved, and uniform crushing and efficient sampling of coal mine blocks are achieved.
Patent Information
- Application Number
- CN202510622877.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-05-15
- Publication Date
- 2025-07-25
- Estimated Expiration
- 2045-05-15
AI Technical Summary
In the prior art, due to the inconsistent size of coal mine blocks, the consistency of the quality and size of coal mine blocks in the sampling device is poor, which affects the sampling efficiency.
The crushing device is arranged at the connection between the sampling barrel and the sample barrel, and the initial and target images and weight data are obtained using the second camera, the third camera and the weight monitoring device, the stacking degree is determined through image analysis and data processing, and the operating power of the servo motor is controlled to adjust the crushing force and efficiency.
It improves the consistency of the crushing effect of coal mine blocks, enhances the sampling efficiency and quality, and avoids the problem of uneven sampling caused by differences in coal mine block size.
Smart Images

Figure CN120141914B_ABST
Abstract
Description
Technical Field
[0001] This application relates to the technical field of coal mine sampling devices, and particularly relates to a sampling device for sampling quality detection in mining areas. Background Art
[0002] A coal mine is an area where humans extract coal resources in coal-rich mining areas. Coal quality detection can ensure the relevant component composition of the mined coal and determine which industrial uses it is suitable for, so as to achieve the best use effect of the coal mine. In the prior art CN220437811U, a sampling device for coal quality detection in coal mines is proposed. By inserting the sampling equipment deep into the coal seam, a rotary sampling knife is used to complete the sampling of the coal mine. The sampled coal mine is transported to the sample outlet cylinder, and a sample storage module is used to receive it in the sample outlet cylinder, thereby completing the sampling of the coal mine.
[0003] However, there are significant differences in the sizes of the coal mine block samples received by the sample storage module in the prior art. After the sampled coal mine blocks are stored, there may be a large number of gaps between the coal mine blocks. Due to the large gaps between the coal mine blocks in the sample storage module, the amount of the collected coal mine samples stored in the sample storage cylinder may be small, resulting in the weight not reaching the preset standard requirements. However, at this time, the sample storage cylinder can no longer store coal mines. As a result, the consistency of the sizes, qualities, etc. of the coal mines collected in different sample storage cylinders is poor, which seriously affects the sampling efficiency. Summary of the Invention
[0004] In order to solve the technical problem that in the related art, due to the large differences in the sizes of the sampled coal mine blocks, the consistency of the sizes, qualities, etc. of the coal mines collected in different sample storage cylinders is poor, which seriously affects the sampling efficiency, this application provides a sampling device for sampling quality detection in mining areas. The specific technical solutions adopted are as follows:
[0005] This application proposes a sampling device for sampling quality detection in mining areas, including a sampling module, a moving module, and a sample storage module. The sampling module includes a sampling cylinder and a sample outlet cylinder connected to each other. A crushing device is configured at the connection between the sampling cylinder and the sample outlet cylinder. The crushing device includes a feed inlet connected to the sampling cylinder, a crushing member, a second camera, a third camera, a filter screen, a weight monitoring device, a discharge outlet connected to the sample outlet cylinder, and a servo motor. Among them, the filter screen is located below the crushing member. The coal mine blocks enter through the feed inlet, are crushed by the crushing member and fall onto the filter screen, and then are filtered by the filter screen and output through the discharge outlet.
[0006] The second camera is located above the crushing member and is used to capture the initial image of the uncrushed coal mine blocks. The third camera is located below the filter screen and is used to capture the target image of the coal mine blocks below the filter screen. Image analysis is performed on the initial image and the target image respectively to determine the flow change data of the coal mine blocks above the crushing member and below the filter screen.
[0007] The weight monitoring device is arranged below the filter screen and is used to obtain the weight data of all coal blocks on the filter screen;
[0008] According to the weight data and the flow change data, determine the stacking degree of the coal blocks on the filter screen, and control the operating power of the servo motor according to the stacking degree. The servo motor controls the rotation of the crushing member based on the operating power to perform a crushing operation.
[0009] Further, the method for obtaining the flow change data includes:
[0010] Perform edge detection on the initial image and the target image respectively, and determine different coal block regions according to the edge detection results;
[0011] Determine the volume feature data of the corresponding image according to the distribution of the coal block regions in each image;
[0012] Normalize the difference between the volume feature data of the initial image and the target image as the flow change data.
[0013] Further, the determining the volume feature data of the corresponding image according to the distribution of the coal block regions in each image includes:
[0014] Determine the uniformity of the coal block regions in the corresponding image according to the area distribution of all the coal block regions in the same image;
[0015] Determine the volume feature data of the coal blocks in the corresponding image according to the total area, uniformity and number of all the coal block regions in the same image. Among them, the total area and uniformity of the coal block regions are positively correlated with the volume feature data, and the number of the coal block regions is negatively correlated with the volume feature data.
[0016] Further, the determining the uniformity of the coal block regions according to the area distribution of all the coal block regions includes:
[0017] Determine the dispersion degree of the areas of all the coal block regions;
[0018] Normalize the opposite number of the dispersion degree as the uniformity of the coal block regions.
[0019] Further, the determining the volume feature data of the coal blocks in the corresponding image according to the total area, uniformity and number of all the coal block regions in the same image includes:
[0020] Use the normalized value of the product of the total area and the evenness of all the coal mine block areas as the area influence index;
[0021] Use the normalized value of the reciprocal of the number of all the coal mine block areas as the number influence index;
[0022] Calculate the product value of the area influence index and the number influence index to obtain the volume characteristic data.
[0023] Further, according to the weight data and the flow change data, determine the stacking degree of the coal mine blocks on the filter screen, including:
[0024] Calculate the normalized value of the product of the weight data and the flow change data as the stacking degree of the coal mine blocks on the filter screen.
[0025] Further, control the operating power of the servo motor according to the stacking degree, including:
[0026] Determine the preset maximum power during the operation of the servo motor, where the preset maximum power is not higher than the rated power of the servo motor;
[0027] Determine the operating power of the servo motor according to the stacking degree and the preset maximum power.
[0028] Further, determine the operating power of the servo motor according to the stacking degree and the preset maximum power, including:
[0029] Calculate the product of the stacking degree and the preset maximum power to obtain the operating power of the servo motor.
[0030] Further, it also includes a light source, which is used to illuminate the shooting range of the second camera when the second camera takes pictures.
[0031] Further, it also includes a recovery device. When the stacking degree is greater than the preset stacking threshold and the difference in the stacking degree between the current moment and the previous moment is greater than the preset stacking difference, start the recovery device to recover the coal mine blocks on the filter screen into the sampling cylinder.
[0032] The present application has the following beneficial effects:
[0033] In the embodiment of the present application, a crushing device is configured at the connection between the sampling cylinder and the sample outlet cylinder. Then, according to the crushing device, the crushing effect of coal blocks is achieved, avoiding the situation that due to the relatively large size of coal particles and the relatively large gaps between coal mines, the coal in the sample storage cylinder can no longer be effectively stored, but the weight does not meet the requirements, thus seriously affecting the sampling quality of the sampling device. During the crushing process, in order to ensure the crushing effect, it is necessary to detect and analyze the situation of coal blocks in the crushing device. By setting a second camera, a third camera and a weight monitoring device, an initial image, a target image and the weight data of all coal blocks on the filter screen are obtained. By analyzing, the stacking degree of coal blocks on the filter screen is determined, and the operating power of the servo motor is controlled according to the stacking degree. The servo motor controls the rotation of the crushing part based on the operating power to perform the crushing operation. Thus, the operating power of the servo motor can be adjusted, and then the crushing strength and efficiency of the crushing part can be adjusted, ensuring the stability of the crushing effect, improving the consistency effect of the sampled coal blocks, and enhancing the sampling efficiency. BRIEF DESCRIPTION OF THE DRAWINGS
[0034] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.
[0035] Figure 1 The first structure diagram of the coal mine detection vehicle provided by an embodiment of the present application;
[0036] Figure 2 The second structure diagram of the coal mine detection vehicle provided by an embodiment of the present application;
[0037] Figure 3 The structure diagram of a crushing device provided by an embodiment of the present application;
[0038] Figure 4 The flow chart of the method for obtaining the flow change data provided by an embodiment of the present application;
[0039] The reference numerals in the drawings are:
[0040] 100 Sampling module; 110 Sampling cylinder; 130 Sampling motor; 140 Sample output cylinder; 200 Moving module; 210 First camera; 300 Sample storage module; 310 Sample receiving platform; 320 Circulating conveying device; 321 Chain track; 323 Driven wheel; 330 Sample storage cylinder; 350 Gravity sensor; 410 Sampling cylinder fixing part; 420 Lifting motor; 500 Crushing device; 501 Feed inlet; 502 Crushing part; 503 Second camera; 504 Third camera; 505 Filter screen; 506 Weight monitoring device; 507 Discharge outlet; 508 Servo motor; 509 Tilt plate; 510 Device housing. Detailed implementation manners
[0041] In order to further elaborate on the technical means and effects adopted by the present application to achieve the predetermined invention purpose, the following combines the drawings and preferred embodiments to detail the specific implementation manners, structures, features, and effects of a sampling device for sampling quality detection in a mining area proposed according to the present application. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. In addition, the specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.
[0042] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field to which this application belongs.
[0043] The following specifically describes the specific solution of a sampling device for sampling quality detection in a mining area provided by the present application with reference to the drawings.
[0044] The sampling device for coal quality detection in the embodiment of the present application can be specifically embodied in the form of a mobile vehicle. Combining Figure 1 and Figure 2 for specific analysis, Figure 1 is the first structure diagram of the coal mine detection vehicle provided by one embodiment of the present application, Figure 2 is the second structure diagram of the coal mine detection vehicle provided by one embodiment of the present application. Among them, the sampling module 100 includes a sampling cylinder 110, a sampling motor 130, and a sample output cylinder 140; the moving module 200 is mainly crawler-type moving and includes a first camera 210; the sample storage module 300 includes a sample receiving platform 310, a circulating conveying device 320, a chain track 321, a driven wheel 323, a sample storage cylinder 330, a gravity sensor 350, a sampling cylinder fixing part 410, and a lifting motor 420.
[0045] Among them, the moving module 200 is a crawler-type vehicle bottom. The function of the moving module 200 is to enable the sampling device for coal quality detection in coal mines to move within the coal sampling area of coal mines. The sampling module 100 and the sample storage module 300 are arranged on the moving module 200. The sampling module 100 is used to sample the coal in the coal sampling area of coal mines. The function of the sample storage module 300 is to send the coal block samples collected by the sampling module 100 to the sample storage cylinder 330 of the sample storage module 300 for storage. The circulating conveying device 320 is used to periodically control the rotation of the sample storage cylinder 330 to store the coal block samples in different sample storage cylinders 330. In the related art, due to the inconsistent sizes of the coal block samples, it may suddenly receive larger coal block samples in the sample storage cylinder 330, resulting in large differences in the quality and quality of the coal block samples collected in different sample storage cylinders 330, thereby affecting the collection efficiency.
[0046] In this embodiment, the sampling module 100 can be connected to the moving module 200 through a lifting device (not marked in the figure). During the sampling process, the lifting device drives the screw rod to rotate through the screw rod lifting motor, so that the sampling module 100 performs a lifting activity. When entering the sampling position, the lifting device drives the sampling module 100 to descend to the ground, and the sampling motor 130 rotates to collect coal block samples. The collected coal blocks move upward in the sampling cylinder 110. When the collected coal blocks reach the position of the sample outlet cylinder 140, they reach the sample storage module 300 through the sample outlet cylinder 140, thus realizing the sampling and sample storage of coal blocks. In the embodiment of the present application, a crushing device 500 is configured at the connection between the sampling cylinder 110 and the sample outlet cylinder 140 to realize the crushing process of coal blocks.
[0047] Please refer to Figure 3 , which shows a structural diagram of a crushing device provided by an embodiment of the present application. The crushing device 500 includes a feed inlet 501 connected to the sampling cylinder 110, a crushing member 502, a second camera 503, a third camera 504, a filter screen 505, a weight monitoring device 506, a discharge outlet 507 connected to the sample outlet cylinder 140, a servo motor 508. There is an inclined plate 509 at the bottom of the crushing device to facilitate the rolling of coal blocks, and a device housing 510 that wraps the entire crushing device; among them, the filter screen 505 is located below the crushing member 502. The coal blocks enter through the feed inlet 501, are crushed by the crushing member 502 and fall onto the filter screen 505, and then are filtered by the filter screen 505 and output through the discharge outlet 507.
[0048] It should be noted that in the related art, the collected coal blocks are directly stored in the sample storage cylinder 330 of the sample storage module 300, and the size of the coal blocks is also an important standard affecting the coal quality detection.
[0049] On the one hand, when the coal block is too large, it may cause a too large coal block to be stored in the sample storage cylinder 330, and then other coal blocks cannot be stuffed in, resulting in a large difference in the coal content in different sample storage cylinders 330, which affects the subsequent mineral quality detection.
[0050] On the other hand, when the coal block is too large, it is still necessary to crush and screen it during the subsequent mineral quality detection.
[0051] Therefore, it is necessary to control the coal block with an appropriate size. In the embodiments of the present application, the screening process is realized through further crushing and filtering. However, during the crushing process, the coal blocks to be crushed are likely to accumulate, resulting in a poor crushing effect. Therefore, it is necessary to adaptively adjust the crushing effect during the crushing process to adapt to the accumulation of coal blocks.
[0052] In the embodiments of the present application, by configuring multi-dimensional data acquisition and data analysis devices, an adaptive crushing effect is realized. Among them, the second camera 503 is located above the crushing member 502 and is used to capture the initial image of the uncrushed coal block. The third camera 504 is located below the filter screen 505 and is used to capture the target image of the coal block below the filter screen 505. The initial image and the target image are respectively subjected to image analysis to determine the flow change data of the coal block above the crushing member 502 and below the filter screen 505. The weight monitoring device 506 is configured below the filter screen 505 and is used to obtain the weight data of all the coal blocks on the filter screen 505. According to the weight data and the flow change data, the accumulation degree of the coal block on the filter screen 505 is determined, and the operating power of the servo motor 508 is controlled according to the accumulation degree. The servo motor 508 controls the rotation of the crushing member 502 based on the operating power to perform the crushing operation.
[0053] Further, in some embodiments of the present application, refer to Figure 4 , Figure 4 is a flowchart of a method for obtaining flow change data provided by an embodiment of the present application, including:
[0054] S401: Perform edge detection on the initial image and the target image respectively, and determine different coal block regions according to the edge detection results.
[0055] Among them, the edge detection can specifically be, for example, canny edge detection, or sobel edge detection method, etc. These are all commonly used technologies in the field of image detection. Its essence is to obtain the regions belonging to coal in the image and realize the distribution analysis of coal blocks.
[0056] Since the overall color of the coal is relatively dark during the actual detection process, in the embodiments of the present application, a corresponding light source can also be configured. It can be located below the second camera, or it can be located on the side, or it can be a multi-point light group, which illuminates the shooting range of the second camera when the second camera takes pictures.
[0057] It should be noted that the initial image and the target image are both subjected to the same edge detection process to identify the coal block areas in each image. In an actual scenario, different coal blocks may be stacked, but the stacking state has a relatively low impact on the overall analysis of coal blocks. Therefore, in the embodiments of the present application, the analysis is directly performed based on the planar image to determine the coal block areas.
[0058] S402: Determine the volume feature data corresponding to each image according to the distribution of the coal block areas in each image.
[0059] Among them, the volume feature data is a numerical representation of the volume characteristics of the coal blocks shown in the image during the processes of flowing and crushing. In the embodiments of the present application, the uncrushed coal blocks and the coal blocks filtered by the filter screen can be determined according to the characteristic distribution of the coal block areas in the image, and the volume feature data of these two types of coal blocks can be obtained.
[0060] Furthermore, in some embodiments of the present application, determining the volume feature data corresponding to each image according to the distribution of the coal block areas in each image includes: determining the uniformity degree of the coal block areas in the corresponding image according to the area distribution of all the coal block areas in the same image; determining the volume feature data of the coal blocks in the corresponding image according to the total area, uniformity degree, and the number of all the coal block areas in the same image. Among them, the total area and uniformity degree of the coal block areas are positively correlated with the volume feature data, and the number of the coal block areas is negatively correlated with the volume feature data.
[0061] Among them, the uniformity degree is an index of the uniformity of the coal block size distribution. The larger the value of the uniformity degree, the more average the area distribution of different coal block areas, that is, the more consistent the coal block sizes in the corresponding image scene.
[0062] In some embodiments of the present application, the dispersion degree of the areas of all the coal block areas can be calculated, and the opposite number of the dispersion degree is normalized to be used as the uniformity degree of the coal block areas.
[0063] Among them, the dispersion degree can be specifically calculated using methods such as variance and standard deviation, which are well-known calculation methods in this field and will not be elaborated here. Since the larger the dispersion degree, the more uneven the corresponding coal block area distribution, the opposite number of it can be calculated, and linear normalization of the maximum and minimum values of the opposite number is performed to obtain the uniformity degree.
[0064] Of course, there are various ways to obtain the uniformity degree of multiple values, and it can be selected according to actual calculation requirements without limitation.
[0065] It should be noted that since the camera is fixed, that is, the angle of the image it captures is fixed, the larger the total area of the coal block regions in the image, the more the distribution of the coal blocks themselves, and there is a positive correlation between the total area of the coal block regions and the volume characteristic data.
[0066] Among them, the negative correlation means that the dependent variable decreases as the independent variable increases. That is, the larger the number of coal block regions, the smaller the corresponding volume characteristic data. On the contrary, the positive correlation means that the dependent variable increases as the independent variable increases. The larger the total area and the uniformity value of the coal block regions, the larger the corresponding volume characteristic data.
[0067] Among them, the larger the number of all coal block regions in any image, that is, the denser its overall distribution. However, when the total area of the coal block regions is large and the number is small, it indicates a poor crushing effect and a greater need for a larger crushing force.
[0068] In the embodiments of the present application, the normalized value of the product of the total area and the uniformity of all coal block regions is used as the area influence index; the normalized value of the reciprocal of the number of all coal block regions is used as the number influence index; the product value of the area influence index and the number influence index is calculated to obtain the volume characteristic data.
[0069] Then, the larger the value of the volume characteristic data of the initial image, the more the corresponding coal blocks to be crushed and the larger the volume of each block. And the value of the volume characteristic data of the target image represents the volume characteristics of the coal blocks after crushing and screening by the filter screen.
[0070] S403: Normalize the difference between the volume characteristic data of the initial image and the target image as the flow change data.
[0071] In the embodiments of the present application, the difference between the volume characteristic data of the initial image and the target image represents the degree of change in the volume of the coal blocks during the crushing process. That is, the larger the value of the flow change data, the greater the required crushing effect.
[0072] Thus, in the embodiments of the present application, by calculating the flow change data, the analysis of the adaptive crushing effect is realized, so that the crushing parts can be controlled based on the crushing effect in the subsequent process.
[0073] It should be noted that since the weight data on the filter screen also affects the overall crushing effect, the weight of the filter screen reflects the coal particles present on it. The larger this value, the fewer small-sized coal particles can pass through the filter screen and enter the sample storage cylinder. And as time delays, the blockage on the filter screen becomes more and more serious, while the sample storage cylinder stores samples at fixed intervals based on the uniform movement of the circulating conveyor device, resulting in a significant reduction in the coal entering the sample storage cylinder, mainly due to insufficient crushing force.
[0074] Thus, in the embodiments of the present application, according to the weight data and the flow change data, the accumulation degree of coal blocks on the filter screen is determined, including: calculating the normalized value of the product of the weight data and the flow change data as the accumulation degree of coal blocks on the filter screen.
[0075] That is, the larger the value of the weight data, the more serious the blockage on the filter screen, and the larger the accumulation of coal blocks. The larger the flow change data, the greater the volume change of the coal blocks, the more troublesome it is during the crushing process, and the more likely it is to produce a larger accumulation. Therefore, in the embodiments of the present application, the normalized value of the product of the weight data and the flow change data is directly calculated as the accumulation degree of coal blocks on the filter screen. The accumulation degree directly characterizes the possible accumulation effect of coal blocks during the crushing process.
[0076] It should be noted that the higher the accumulation degree, the greater the crushing force required for coal blocks at the current stage. In the embodiments of the present application, the running power of the servo motor can be controlled, thereby controlling the rotation speed of the crushing part and further controlling the crushing force.
[0077] Further, in some embodiments of the present application, controlling the running power of the servo motor according to the accumulation degree includes: determining the preset maximum power during the operation of the servo motor, where the preset maximum power is not higher than the rated power of the servo motor; determining the running power of the servo motor according to the accumulation degree and the preset maximum power.
[0078] It should be noted that the preset maximum power is the maximum power corresponding to the rotation of the motor. When the preset maximum power is higher than the rated power of the servo motor, the servo motor may be damaged due to too high running power. Therefore, the preset maximum power in the embodiments of the present application does not exceed the rated power of the servo motor. That is to say, when the rated power of the servo motor is 10 kw, the corresponding preset maximum power can be 10 kw.
[0079] As can be seen from the above, the accumulation degree characterizes the accumulation situation of coal blocks inside the crushing device in the current situation. The accumulation degree is a normalized value. Determining the running power of the servo motor according to the accumulation degree and the preset maximum power includes: calculating the product of the accumulation degree and the preset maximum power to obtain the running power of the servo motor.
[0080] That is to say, the present application directly calculates the product of the accumulation degree and the preset maximum power as the running power of the servo motor.
[0081] Of course, in some other embodiments of the present application, other calculation methods can also be used, such that the larger the accumulation degree, the larger the running power of the corresponding servo motor, and the overall does not exceed the preset maximum power.
[0082] It should be noted that in the embodiments of the present application, the power adjustment range can also be determined as a corresponding numerical range. For example, when the preset maximum power is 10 kw, the power adjustment range can be determined as [5 kw, 10 kw], and then linear adjustment can be performed within the range of [5 kw, 10 kw] according to the stacking degree to obtain the operating power.
[0083] In some embodiments of the present application, a recycling device is further included. When the stacking degree is greater than the preset stacking threshold and the difference in the stacking degree between the current moment and the previous moment is greater than the preset stacking difference, the recycling device is activated to recycle the coal blocks on the filter screen into the sampling cylinder.
[0084] Among them, the preset stacking threshold can be specifically 0.85, that is, when the stacking degree is greater than 0.85, it means that a large amount of coal has accumulated on the filter screen at the current moment, and blockage is very likely to occur. At this time, the recycling device can be activated to recycle the coal blocks accumulated on the filter screen into the sampling cylinder and re-enter the crushing device for crushing to ensure the overall operation.
[0085] It should be noted that the recycling device can specifically be a scraper to scrape the coal blocks on the filter screen into the sampling cylinder, or the coal blocks on the filter screen can also be scraped outside the sampling device for coal quality detection of coal, that is, into the environment. Of course, in some other embodiments of the present application, various other structures can also be set, such as stopping sampling and lifting the filter screen, etc., to achieve the recycling effect, and this is not limited.
[0086] In the embodiments of the present application, a crushing device is configured at the connection between the sampling cylinder and the sample output cylinder, and then the crushing effect of the coal blocks is achieved according to the crushing device, avoiding the situation that due to the large size of the coal particles and the large gaps between the coals, the coal in the sample storage cylinder can no longer be effectively stored, but the weight does not meet the requirements, which will seriously affect the sampling quality of the sampling device. During the crushing process, in order to ensure the crushing effect, it is necessary to detect and analyze the situation of the coal blocks in the crushing device. By setting a second camera, a third camera and a weight monitoring device, an initial image, a target image and the weight data of all the coal blocks on the filter screen are obtained. The stacking degree of the coal blocks on the filter screen is determined by analysis, and the operating power of the servo motor is controlled according to the stacking degree. The servo motor controls the rotation of the crushing part based on the operating power to perform the crushing operation. Thus, the operating power of the servo motor can be adjusted, and then the crushing strength and efficiency of the crushing part can be adjusted to ensure the consistency of the crushing effect, improve the consistency effect of the sampled coal blocks, and enhance the stability of sampling.
[0087] It should be noted that: the above order of the embodiments of the present application is only for description and does not represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
[0088] Each embodiment in this specification is described in a progressive manner. For the same or similar parts among the embodiments, reference can be made to each other. The key point of each embodiment is to illustrate the differences from other embodiments.
Claims
1. A sampling device for sampling quality detection in a mining area, comprising a sampling module, a moving module and a sample storage module. The sampling module includes a sampling cylinder and a sample outlet cylinder which are connected to each other, and is characterized in that, A crushing device is configured at the connection between the sampling cylinder and the sample output cylinder. The crushing device includes a feed inlet connected to the sampling cylinder, a crushing member, a second camera, a third camera, a filter screen, a weight monitoring device, a discharge outlet connected to the sample output cylinder, and a servo motor. Among them, the filter screen is located below the crushing member. Coal blocks enter through the feed inlet, are crushed by the crushing member and fall onto the filter screen. Then, they are filtered by the filter screen and output through the discharge outlet. The second camera is located above the crushing member and is used to capture the initial image of the uncrushed coal blocks. The third camera is located below the filter screen and is used to capture the target image of the coal blocks below the filter screen. Image analysis is performed on the initial image and the target image respectively to determine the flow change data of the coal blocks above the crushing member and below the filter screen. The weight monitoring device is configured below the filter screen and is used to obtain the weight data of all the coal blocks on the filter screen. According to the weight data and the flow change data, determine the accumulation degree of the coal blocks on the filter screen. Control the operating power of the servo motor according to the accumulation degree. The servo motor controls the rotation of the crushing member based on the operating power to perform the crushing operation. The method for obtaining the flow change data includes: Perform edge detection on the initial image and the target image respectively, and determine different coal block areas according to the edge detection results. Determine the volume feature data of the corresponding image according to the distribution of the coal block areas in each image. Normalize the difference between the volume feature data of the initial image and the target image as the flow change data.
2. The sampling device for sampling quality detection in a mining area according to claim 1, characterized in that, The determining the volume feature data of the corresponding image according to the distribution of the coal block areas in each image includes: Determine the uniformity degree of the coal block areas in the corresponding image according to the area distribution of all the coal block areas in the same image. Determine the volume feature data of the coal blocks in the corresponding image according to the total area, uniformity degree and the number of all the coal block areas in the same image. Among them, the total area and uniformity degree of the coal block areas are positively correlated with the volume feature data, and the number of the coal block areas is negatively correlated with the volume feature data.
3. The sampling device for sampling quality detection in a mining area according to claim 2, wherein, The determining the uniformity degree of the coal block areas according to the area distribution of all the coal block areas includes: Determine the dispersion degree of the areas of all the coal block areas. Normalize the opposite number of the dispersion degree as the uniformity degree of the coal block areas.
4. A sampling device for sampling quality detection in a mining area according to claim 2, characterized in that, The determining the volume feature data of the coal blocks in the corresponding image according to the total area, uniformity degree and the number of all the coal block areas in the same image includes: Take the normalized value of the product of the total area and uniformity degree of all the coal block areas as the area influence index. Take the normalized value of the reciprocal of the number of all the coal block areas as the number influence index. Calculate the product value of the area influence index and the number influence index to obtain the volume feature data.
5. The sampling device for sampling quality detection in a mining area according to claim 1, characterized in that, According to the weight data and the flow change data, determine the accumulation degree of the coal blocks on the filter screen, including: Calculate the normalized value of the product of the weight data and the flow change data as the stacking degree of the coal mine blocks on the filter screen.
6. The sampling device for sampling quality detection in a mining area according to claim 1, characterized in that, Control the operating power of the servo motor according to the stacking degree, including: Determine the preset maximum power of the servo motor during operation, where the preset maximum power is not higher than the rated power of the servo motor; Determine the operating power of the servo motor according to the stacking degree and the preset maximum power.
7. A sampling device for sampling quality detection in a mining area according to claim 6, characterized in that, Determine the operating power of the servo motor according to the stacking degree and the preset maximum power, including: Calculate the product of the stacking degree and the preset maximum power to obtain the operating power of the servo motor.
8. The sampling device for sampling quality detection in a mining area according to claim 1, wherein It further includes a light source, which is used to illuminate the shooting range of the second camera when the second camera takes pictures.
9. The sampling device for sampling quality detection in a mining area according to claim 1, wherein, It further includes a recovery device. When the stacking degree is greater than the preset stacking threshold and the difference in the stacking degree between the current moment and the previous moment is greater than the preset stacking difference, the recovery device is started to recover the coal mine blocks on the filter screen into the sampling cylinder.
Citation Information
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