Coal quality calorific value analysis device based on hyperspectral imaging

Abstract

A coal quality calorific value analysis device based on hyperspectral imaging. It relates to the field of coal quality calorific value analysis. The diversity and complexity of existing coal samples are difficult to accurately predict the coal quality calorific value by relying only on the hyperspectral imaging technology itself. The new type includes a sampling and pulverizing module, a rack module, a coal powder transportation module, a system light source module, a hyperspectral image acquisition module and a processing and display module; the top of the rack of the rack module is connected with a hyperspectral dark box and a machine shell respectively, the machine shell is internally provided with the sampling and pulverizing module for collecting and pulverizing coal samples; the rack is connected with the coal powder transportation module for conveying the coal powder to be detected to the data acquisition area to collect complete coal powder; the inside of the hyperspectral dark box is internally provided with the system light source module and the hyperspectral image acquisition module for providing stable homogenization light source for hyperspectral data acquisition and collecting hyperspectral image data. The utility model is applied to the field of coal quality calorific value analysis based on hyperspectral imaging.

Description

Technical Field

[0001] This utility model relates to the field of coal calorific value analysis, specifically to a coal calorific value analysis device based on hyperspectral imaging. Background Technology

[0002] Coal, as a traditional energy resource, is widely used globally, particularly in power generation, metallurgy, and chemical industries. With the adjustment of energy structure and increasingly stringent environmental protection requirements, improving coal utilization efficiency and reducing environmental pollution have become critical issues urgently needing to be addressed by the coal industry. Among these, the calorific value of coal is a crucial indicator for evaluating coal quality, directly affecting combustion efficiency and energy conversion efficiency. Therefore, accurate and rapid determination of coal calorific value is of paramount importance for production scheduling, resource management, and the formulation of environmental policies in the coal industry.

[0003] Current traditional methods for detecting the calorific value of coal have many shortcomings. Conventional methods mainly include chemical analysis and indirect measurement. Chemical analysis typically requires multiple complex chemical reactions of the coal sample, and is time-consuming and costly. Indirect measurement methods mainly calculate the calorific value through the spectral characteristics of coal, but due to the complexity and variability of coal quality, existing spectral analysis methods have low accuracy. Therefore, there is an urgent need to develop a new, efficient, and accurate coal calorific value analysis technology to meet the coal industry's demand for rapid and precise coal quality analysis.

[0004] Hyperspectral imaging, as an emerging remote sensing technology, has been widely applied in various fields in recent years. By acquiring multi-band spatial spectral information of objects, hyperspectral imaging can obtain richer spatial spectral information than traditional images. Compared with traditional spectral techniques, hyperspectral imaging provides more spectral detail and spatial information, offering significant advantages for qualitative and quantitative analysis of substances. In agriculture, environmental monitoring, and food safety, hyperspectral imaging has been successfully applied to the analysis of material composition, quality assessment, and environmental monitoring. For the calorific value analysis of coal, hyperspectral imaging can be used to perform in-depth analysis of the spatial spectral data of coal samples, extracting features related to calorific value, thereby achieving accurate prediction of the coal's calorific value.

[0005] Despite the significant achievements of hyperspectral imaging technology in many fields, it still faces several challenges in coal calorific value analysis. First, the inherent complexity of coal leads to considerable variability in its spatial-spectral characteristics. In particular, variations in factors such as mineral composition, moisture content, ash content, and organic components significantly affect the spatial-spectral response. Coal from different types, regions, and combustion conditions may exhibit substantial differences in their spatial-spectral characteristics, further complicating the processing of hyperspectral imaging data. Second, due to the diversity and complexity of coal samples, relying solely on hyperspectral imaging technology is insufficient for accurate prediction of coal calorific value. Therefore, combining hyperspectral imaging data with other analytical methods to extract key features influencing calorific value and establish efficient and accurate prediction models remains a key challenge in technological development. Utility Model Content

[0006] In order to address the challenges posed by the diversity and complexity of existing coal samples, where relying solely on hyperspectral imaging technology is insufficient for accurate prediction of coal calorific value, this application provides a coal calorific value analysis device based on hyperspectral imaging.

[0007] The technical solution of this utility model is:

[0008] A coal calorific value analysis device based on hyperspectral imaging includes a sampling and pulverizing module, a frame module, a coal powder transportation module, a system light source module, a hyperspectral image acquisition module, and a processing and display module;

[0009] The rack module includes a rack, casters, a hyperspectral darkroom, a cooling fan, and a housing;

[0010] The top of the frame is connected to the hyperspectral dark box and the housing, respectively, and the bottom of the frame is connected to casters.

[0011] The top of the hyperspectral dark box and the casing are respectively equipped with cooling fans. The inside of the casing is equipped with a sampling and pulverizing module for collecting and pulverizing coal samples.

[0012] The frame is connected to the coal powder transport module, which is used to transport the coal powder to be tested to the data acquisition area and collect the coal powder after the data acquisition is complete;

[0013] The hyperspectral dark box contains a system light source module and a hyperspectral image acquisition module, which are used to provide a stable homogenizing light source for hyperspectral data acquisition and to acquire hyperspectral image data, respectively.

[0014] The processing and display module is installed on the front panel of the hyperspectral darkroom and is used for processing hyperspectral data and displaying calorific value analysis results.

[0015] Furthermore, the sampling and powder preparation module includes a suction machine, a manual sampling port, a primary crusher, a fine powder preparation machine, a screening machine, a temporary storage bin, and a leveling mechanism;

[0016] The suction machine is connected to the primary crusher, and the manual sampling port is also connected to the primary crusher. Material is fed into the primary crusher through the manual sampling port or automatically sucked in by the suction machine. The output end of the manual sampling port and the suction machine is connected to the feed inlet of the primary crusher. The discharge outlet of the primary crusher is connected to the feed inlet of the fine pulverizer. After the primary crusher performs preliminary crushing of the material, the output material enters the fine pulverizer for further grinding and refining. The discharge outlet of the fine pulverizer is connected to the feed inlet of the screening machine. The material processed by the fine pulverizer is then conveyed to the screening machine for screening and grading. The discharge outlet of the screening machine is connected to the feed inlet of the temporary storage bin. The qualified material screened by the screening machine enters the temporary storage bin for temporary storage. The discharge outlet of the temporary storage bin is connected to the feeding area of ​​the leveling mechanism. The material in the temporary storage bin is conveyed to the leveling mechanism for leveling.

[0017] Furthermore, the pulverized coal transport module includes a collection box and an electrically controlled displacement platform;

[0018] The electrically controlled displacement platform is installed above the frame and is electrically connected to the industrial touch screen all-in-one machine for processing and display modules. The collection box is installed on the right side of the frame and the collection box shell is pulled out from the frame.

[0019] The collection box is a drawer with a round handle.

[0020] Furthermore, the system light source module includes a halogen cold light source, which is installed inside a hyperspectral dark chamber;

[0021] The halogen cold light source includes a set of six cold halogen lamps with a continuous spectrum in the wavelength range of 400-2500nm. The set consists of three cold halogen lamps on each side and is installed at both ends of the interior of the hyperspectral dark box. The installation angle of the set of cold halogen lamps is 40-50 degrees, so that the center of the light source of the set of cold halogen lamps is directly facing the area directly below the hyperspectral imager.

[0022] Furthermore, the hyperspectral image acquisition module includes a working distance adjustment mechanism, a hyperspectral imager, and a dustproof transparent plate;

[0023] The working distance adjustment mechanism is connected to the hyperspectral imager, and the dustproof transparent plate is set below the hyperspectral imager;

[0024] The working distance adjustment mechanism is a working distance adjustment mechanism, and the working distance adjustment mechanism is electrically connected to the industrial touch screen all-in-one machine via an Ethernet cable or RS485 communication cable to adjust the working distance between the hyperspectral imager and the coal powder to be detected;

[0025] The hyperspectral imager is electrically connected to the industrial touch screen all-in-one machine via a CameraLink interface or a USB port. The wavelength of the hyperspectral imager covers at least the short-wave infrared region, which is 1000 nm - 2500 nm.

[0026] The dustproof transparent panel is installed horizontally inside the hyperspectral darkroom, and the dustproof transparent panel is made of high borosilicate glass or fused silica glass.

[0027] Furthermore, the processing and display module includes an industrial touch screen all-in-one machine, status indicator lights, a start button, an emergency stop button, a network cable interface, and a USB interface;

[0028] The industrial touch screen all-in-one machine, status indicator lights, start button, emergency stop button, network cable interface and USB interface are respectively installed on the front panel of the hyperspectral dark box;

[0029] The industrial touch screen all-in-one machine is used to process the hyperspectral data of coal powder collected by the hyperspectral imager and analyze the calorific value parameters of the coal.

[0030] The industrial touch screen all-in-one machine controls and adjusts the parameters of the electrically controlled displacement platform, working distance adjustment mechanism, hyperspectral imager, and sampling powder preparation module.

[0031] Furthermore, the suction machine is electrically connected to the industrial touch screen all-in-one machine, and an electrically controlled valve is provided at the bottom of the temporary storage compartment, and the electrically controlled valve of the temporary storage compartment is electrically connected to the industrial touch screen all-in-one machine.

[0032] Furthermore, the leveling mechanism includes a metal scraper and a motor A;

[0033] The metal scraper is connected to motor A. The metal scraper of the leveling mechanism is fixed at the upper end of the electrically controlled displacement platform. Motor A drives the metal scraper to rotate, and the metal scraper adjusts the height of the coal powder.

[0034] Furthermore, the electrically controlled displacement platform includes a drive wheel, a driven wheel, and a drive motor. The drive wheel and the driven wheel are connected by a conveyor belt. The drive motor drives the drive wheel to rotate, which in turn drives the conveyor belt to move, thereby realizing the transportation of pulverized coal.

[0035] Furthermore, the working distance adjustment mechanism includes a linear slide rail and a motor B;

[0036] The top of the linear slide rail is connected to motor B, and the slider on the linear slide rail is connected to the hyperspectral imager to adjust the physical distance between the hyperspectral imager and the coal powder to be detected.

[0037] Compared with the prior art, this utility model has the following advantages:

[0038] This invention utilizes hyperspectral imaging technology to acquire multi-band spatial spectral data of coal samples, enabling the acquisition of richer spatial spectral information. Combined with data processing algorithms, key features are extracted from the coal's spatial spectral information to achieve efficient prediction of coal calorific value.

[0039] This invention enables rapid and non-destructive analysis of coal calorific value. It allows for quick acquisition of hyperspectral data without contact with coal powder, avoiding sample loss, significantly reducing analysis time, and improving detection efficiency. Furthermore, it enables high-precision analysis of coal calorific value by rationally utilizing the rich spatial-spectral information of hyperspectral data and combining it with advanced artificial intelligence algorithms.

[0040] This utility model integrates sampling, sample preparation, and analysis into one integrated system. It has a high degree of integration, effectively simplifies operation steps, and saves costs. Unlike existing coal quality analysis devices, it does not pose a radiation risk and will not affect the health of operators.

[0041] This utility model has the following advantages:

[0042] (1) Using an electrically controlled displacement platform to transport coal samples allows for continuous and multiple sampling, avoiding the problem of non-representative coal powder sampling.

[0043] (2) Ambient stray light can affect the acquisition of hyperspectral data. A specially designed hyperspectral dark box structure can effectively avoid the influence of ambient stray light and acquire high-quality data.

[0044] (3) The device operates in a high dust environment and uses a specially designed dustproof transparent plate module, which can ensure that the hyperspectral imager is not affected by dust interference while not affecting the acquisition of coal powder hyperspectral data.

[0045] (4) The device integrates sampling, sample preparation and analysis functions. Each component is installed inside the device box with a certain connection relationship, which makes the device highly integrated and simplifies the operation steps. In addition, the design of the omnidirectional locking universal wheels can facilitate the transportation and movement of the entire device, which is conducive to improving the adaptability of the device.

[0046] This utility model relates to an industrial touch screen all-in-one machine that controls the operation of a sampling and pulverizing module. After sampling and sample preparation, analytical-grade coal powder is obtained and spread evenly on an electrically controlled displacement platform. When the coal powder on the conveyor belt of the electrically controlled displacement platform is transported to the detection station, a halogen cold light source emits light and illuminates the surface of the coal powder. A hyperspectral imager performs imaging and scanning of the coal powder to obtain hyperspectral data. The acquired data is then transmitted to the industrial touch screen all-in-one machine, which processes and analyzes the data and uses a built-in artificial intelligence algorithm to predict the calorific value of the coal, displaying the prediction results on the screen. Attached Figure Description

[0047] Figure 1 This is a schematic diagram of the structure of this utility model;

[0048] Figure 2 This is a schematic diagram of the internal structure of this utility model;

[0049] Figure 3 This is a schematic diagram of the paving mechanism;

[0050] Figure 4 This is a schematic diagram of the structure of an electrically controlled displacement platform;

[0051] Figure 5 This is a schematic diagram of the working distance adjustment mechanism;

[0052] The components are as follows: 1-Frame, 2-Universal casters, 3-Collection box, 4-Electrically controlled displacement platform, 5-Hyperspectral dark box, 6-Cooling fan, 7-Casing, 8-Industrial touch screen all-in-one machine, 9-Status indicator light, 10-Start button, 11-Emergency stop button, 12-Network cable interface, 13-USB interface, 14-Working distance adjustment mechanism, 15-Hyperspectral imager, 16-Dustproof transparent plate, 17-Halogen cold light source, 18-Suction machine, 19-Manual sampling port, 20-Primary crusher, 21-Fine powder mill, 22-Screening machine, 23-Temporary storage bin, 24-Leveling mechanism. Detailed Implementation

[0053] To make the objectives, technical solutions, and advantages of the embodiments of this utility model clearer, the technical solutions in the embodiments will be clearly and completely described below with reference to the accompanying drawings. The following embodiments are used to illustrate this utility model, but are not intended to limit the scope of this utility model. Specific implementation method one:

[0055] Combination Figure 1 and Figure 2 This embodiment describes a coal calorific value analysis device based on hyperspectral imaging, which includes a sampling and pulverizing module, a frame module, a coal powder transportation module, a system light source module, a hyperspectral image acquisition module, and a processing and display module.

[0056] The rack module includes a rack 1, casters 2, hyperspectral darkroom 5, cooling fan 6, and housing 7;

[0057] The frame 1 is connected to the hyperspectral dark box 5 and the housing 7 at the top, and the bottom of the frame 1 is connected to the casters 2.

[0058] The top of the hyperspectral dark box 5 and the housing 7 are respectively equipped with a heat dissipation fan 6. The housing 7 is equipped with a sampling and powder preparation module for coal sample collection and powder preparation.

[0059] The frame 1 is connected to the coal powder transport module, which is used to transport the coal powder to be tested to the data acquisition area and collect the coal powder after the data acquisition is complete;

[0060] The hyperspectral dark box 5 is equipped with a system light source module and a hyperspectral image acquisition module, which are used to provide a stable homogenizing light source for hyperspectral data acquisition and to acquire hyperspectral image data, respectively.

[0061] The processing and display module is installed on the front panel of the hyperspectral dark box 5 and is used for processing hyperspectral data and displaying calorific value analysis results.

[0062] The frame is the overall frame 1, which supports the entire device; the casters 2 are omnidirectional locking casters, a total of 4, which are installed at the four bottom corners of the frame 1. The casters 2 can be fully or partially locked for the transportation and movement of the entire device; the hyperspectral dark box 5 avoids the influence of ambient stray light during data acquisition; the housing 7 is used to protect the coal powder sampling and pulverizing module; in addition, cooling fans are installed on components 5 and 7 respectively for the heat dissipation of the system.

[0063] The sampling and powder preparation module operates on a continuous, automated process, consisting of the following steps:

[0064] (1) Collection start: Coal samples are automatically collected from the conveyor belt by the suction machine 18, or manually added through the manual sampling port 19. The selection of the inlet is determined by the operational requirements.

[0065] (2) Primary processing: The coal sample enters the primary crusher 20 for coarse crushing.

[0066] (3) Fine processing: The coarsely crushed coal sample is transported to the fine powder mill 21 and ground into fine powder.

[0067] (4) Quality control: After grinding, the coal powder is screened by a 22-screening machine to ensure uniform particle size.

[0068] (5) Temporary storage: Qualified coal powder is stored in temporary storage warehouse 23 and awaits release.

[0069] (6) Leveling preparation: Coal powder is released from the temporary storage bin and evenly spread on the electrically controlled displacement platform 4 by the leveling mechanism 24.

[0070] (7) The entire process is coordinated and controlled by the industrial touch screen all-in-one machine 8. Specific Implementation Method Two:

[0072] Combination Figure 1 and Figure 2This embodiment describes a coal calorific value analysis device based on hyperspectral imaging. The sampling and pulverizing module includes a suction machine 18, a manual sampling port 19, a primary crusher 20, a fine pulverizer 21, a screening machine 22, a temporary storage bin 23, and a leveling mechanism 24.

[0073] The suction pump 18 is connected to the primary crusher 20, and the manual sampling port 19 is also connected to the primary crusher 20. Material is fed into the primary crusher 20 through the manual sampling port 19 or actively sucked in by the suction pump 18. The output ends of the manual sampling port 19 and the suction pump 18 are connected to the feed inlet of the primary crusher 20, and the discharge outlet of the primary crusher 20 is connected to the feed inlet of the fine pulverizer 21. After the primary crusher 20 performs preliminary crushing, the output material enters the fine pulverizer 21. In the one-step grinding and refining process, the discharge port of the fine powder mill 21 is connected to the inlet of the screening machine 22. The material processed by the fine powder mill 21 is conveyed to the screening machine 22 for screening and grading. The discharge port of the screening machine 22 is connected to the inlet of the temporary storage bin 23. The qualified material screened by the screening machine 22 enters the temporary storage bin 23 for temporary storage. The discharge port of the temporary storage bin 23 is connected to the feeding area of ​​the leveling mechanism 24. The material in the temporary storage bin 23 is conveyed to the leveling mechanism 24 for leveling.

[0074] The suction machine 18 is a suction machine used to collect coal samples from the coal conveyor belt. The suction machine 18 is electrically connected to the industrial touch screen all-in-one machine. The manual sampling port 19 is a manual sampling port used to receive samples manually placed into the sampling port. The primary crusher is a primary crusher used to perform primary crushing of the coal sample. The fine pulverizer is a fine pulverizer used to grind coal powder to analytical grade. The sieve is a sieve used to sieve coal powder to ensure uniform coal powder particle size. The temporary storage bin is a coal powder temporary storage bin used to temporarily store the sieved coal powder. It is equipped with an electrically controlled valve at the bottom, which is electrically connected to the industrial touch screen all-in-one machine 8. The leveling mechanism is used to spread the coal powder evenly on the component 4. Specific implementation method three:

[0076] Combination Figure 1 and Figure 2 This embodiment describes a coal calorific value analysis device based on hyperspectral imaging, wherein the coal powder transportation module includes a collection box 3 and an electrically controlled displacement platform 4.

[0077] The electrically controlled displacement platform 4 is installed above the frame 1 and is electrically connected to the industrial touch screen all-in-one machine 8 that processes the display module. The collection box 3 is installed on the right side of the frame 1 and the shell of the collection box 3 is pulled out from the frame 1.

[0078] Collection box 3 is a collection box with a drawer structure featuring a round handle.

[0079] The coal powder transport module is used to transport the coal powder to be tested to the data acquisition area and collect the coal powder after data acquisition. The electrically controlled displacement platform 4 is electrically connected to the industrial touch screen all-in-one machine 8 and is installed on the frame 1. The electrically controlled displacement platform 4 includes a drive wheel, a driven wheel, and a drive motor. The drive wheel and driven wheel are connected by a conveyor belt. The drive motor drives the drive wheel to rotate, which in turn drives the conveyor belt to move, thus transporting the coal powder. The collection box 3 is a collection box with a circular handle and drawer structure. It can be pulled out from the frame 1 and installed on the right side of the frame 1 to collect the coal powder after data acquisition, avoiding waste and pollution. Specific implementation method four:

[0081] Combination Figure 1 and Figure 2 This embodiment describes a coal calorific value analysis device based on hyperspectral imaging. The system light source module includes a halogen cold light source 17, which is installed inside a hyperspectral dark chamber.

[0082] The halogen cold light source 17 includes a set of six cold halogen lamps with a continuous spectrum in the wavelength range of 400-2500nm. The set of cold halogen lamps consists of three lamps on each side and is installed at both ends inside the hyperspectral dark box 5. The installation angle of the set of cold halogen lamps is 40-50 degrees, so that the light source center of the set of cold halogen lamps faces the area directly below the hyperspectral imager 15, which can provide a uniform and continuous spectrum.

[0083] The hyperspectral dark box 5 and halogen cold light source 17 of the system light source module are used to provide a stable and homogenized light source for hyperspectral data acquisition, while effectively avoiding the influence of ambient stray light and ensuring the quality of hyperspectral image acquisition. The casing material of the hyperspectral dark box 5 includes, but is not limited to, aluminum alloy or stainless steel, and the inner wall of the casing is coated with a high-reflectivity polytetrafluoroethylene (PTFE) material. Specific implementation method five:

[0085] Combination Figure 1 and Figure 2 This embodiment describes a coal calorific value analysis device based on hyperspectral imaging. The hyperspectral image acquisition module includes a working distance adjustment mechanism 14, a hyperspectral imager 15, and a dustproof transparent plate 16.

[0086] The working distance adjustment mechanism 14 is connected to the hyperspectral imager 15, and the dustproof transparent plate 16 is located below the hyperspectral imager 15.

[0087] The working distance adjustment mechanism 14 is electrically connected to the industrial touch screen all-in-one machine 8 via an Ethernet cable or RS485 communication cable to adjust the working distance between the hyperspectral imager 15 and the coal powder to be detected.

[0088] The dustproof transparent plate 16 is installed horizontally inside the hyperspectral dark box 5. The dustproof transparent plate 16 is made of high borosilicate glass or fused silica glass.

[0089] The working distance adjustment mechanism 14 is electrically connected to the industrial touch screen all-in-one machine (Ethernet or RS485 communication, etc.) to adjust the working distance between the hyperspectral imager 15 and the coal powder to be detected, ensuring clear, complete, and high-quality data acquisition. The hyperspectral imager 15 is electrically connected to the industrial touch screen all-in-one machine 8 (CameraLink interface or USB, etc.). It is recommended that the wavelength of the hyperspectral imager cover the visible light to short-wave infrared region (400-2500nm), and should at least cover the short-wave infrared region (1000-2500nm) for acquiring hyperspectral image data of coal powder. The dustproof transparent plate 16 is made of high borosilicate glass or fused silica glass and is installed on the hyperspectral dark box 5 to ensure that the hyperspectral imager 15 is protected from dust interference without affecting the acquisition of hyperspectral data of coal powder. Specific implementation method six:

[0091] Combination Figure 1 and Figure 2 This embodiment describes a coal calorific value analysis device based on hyperspectral imaging. The processing and display module includes an industrial touch screen all-in-one machine 8, a status indicator light 9, a start button 10, an emergency stop button 11, a network cable interface 12, and a USB interface 13.

[0092] The industrial touch screen all-in-one machine 8, status indicator light 9, start button 10, emergency stop button 11, network cable interface 12 and USB interface 13 are respectively installed on the front panel of the hyperspectral dark box 5;

[0093] The industrial touch screen all-in-one machine 8 is used to process the hyperspectral data of coal powder collected by the hyperspectral imager 15 and analyze the calorific value parameters of coal.

[0094] The industrial touch screen all-in-one machine 8 controls and adjusts the parameters of the electrically controlled displacement platform 4, the working distance adjustment mechanism 14, the hyperspectral imager 15, and the sampling and powder preparation module.

[0095] The processing and display module is used for processing hyperspectral data and displaying calorific value analysis results. Specifically, status indicator 9 displays the operating status of the device; start button 10 starts the entire device; emergency stop button 11 shuts down the device in case of an emergency; industrial touch screen all-in-one machine 8 processes the coal powder hyperspectral data acquired by the hyperspectral imager 15 and analyzes it to obtain coal calorific value parameters; furthermore, industrial touch screen all-in-one machine 8 controls and adjusts the parameters of the electrically controlled displacement platform 4, working distance adjustment mechanism 14, hyperspectral imager 15, and sampling and powder preparation modules; network cable interface 12 is used for data transmission; and USB interface is used for data export. Specific implementation method seven:

[0097] Combination Figure 1 and Figure 2 This embodiment describes a coal calorific value analysis device based on hyperspectral imaging. The suction machine 18 is electrically connected to the industrial touch screen all-in-one machine 8. An electrically controlled valve is provided at the bottom of the temporary storage chamber 23, and the electrically controlled valve of the temporary storage chamber 23 is electrically connected to the industrial touch screen all-in-one machine 8. Detailed implementation method eight:

[0099] Combination Figure 3 This embodiment describes a coal calorific value analysis device based on hyperspectral imaging, wherein the leveling mechanism 24 includes a metal scraper and a motor A;

[0100] The metal scraper is connected to motor A. The metal scraper of the leveling mechanism 24 is fixed on the upper end of the electrically controlled displacement platform 4. Motor A drives the metal scraper to rotate, and the metal scraper adjusts the height of the coal powder.

[0101] The main function of the leveling mechanism 24 is to adjust the height of the pulverized coal, ensuring its uniform distribution. Specifically, this is achieved by controlling the opening and closing of an electrically controlled valve at the bottom of the temporary storage bin 23, allowing the analytical grade pulverized coal to fall onto the conveyor belt. The metal scraper of the leveling mechanism 24 is fixed to the upper end of the conveyor belt, and the scraper height is adjusted by a motor to level the pulverized coal on the conveyor belt to a uniform height (generally set at 4.5mm-5.5mm). This ensures that after passing through component 24, the pulverized coal on the conveyor belt has a uniform thickness and distribution, facilitating subsequent hyperspectral data acquisition. Specific implementation method nine:

[0103] Combination Figure 4 This embodiment describes a coal calorific value analysis device based on hyperspectral imaging. The electrically controlled displacement platform 4 includes a drive wheel, a driven wheel, and a drive motor. The drive wheel and the driven wheel are connected by a conveyor belt. The drive motor drives the drive wheel to rotate, which in turn drives the conveyor belt to move, thereby realizing the transportation of coal powder. Specific Implementation Method Ten:

[0105] Combination Figure 5 This embodiment describes a coal calorific value analysis device based on hyperspectral imaging, wherein the working distance adjustment mechanism 14 includes a linear slide rail and a motor B;

[0106] The top of the linear slide rail is connected to the motor B, and the slider on the linear slide rail is connected to the hyperspectral imager 15 to adjust the physical distance between the hyperspectral imager 15 and the coal powder to be detected.

[0107] The working distance adjustment mechanism 14 includes a linear slide rail and a motor, and its main function is to adjust the working distance of the hyperspectral imager component 15.

[0108] Motor B receives instructions from the industrial touchscreen all-in-one machine 8 and dynamically adjusts the physical distance between the hyperspectral imager and the coal powder to be detected (located on the electrically controlled displacement platform 4) via a slide rail, achieving precise vertical displacement adjustment. This ensures the clarity and integrity of the hyperspectral image acquisition, avoiding data blurring or distortion caused by improper working distance.

[0109] Working principle:

[0110] Pressing the device start button 10 starts the entire analysis device. The industrial control all-in-one machine 8 controls the electrical connections, starts the suction machine 18, sets the working distance adjustment mechanism 14, adjusts the working distance between the hyperspectral imager 15 and the coal powder, and sets parameters such as exposure time, integration time, aperture size, and focal length of the hyperspectral imager 15. The sampling and powder preparation module is responsible for converting the raw coal sample into uniform coal powder of analytical grade and spreading it evenly on the electrically controlled displacement platform 4, preparing for hyperspectral data acquisition. The entire process includes two entry points (automatic acquisition or manual sample feeding), multi-stage physical processing (crushing, grinding, and sieving), and automated control (via the industrial touch screen all-in-one machine 8). The process begins with coal sample acquisition and ends with coal powder spreading, ensuring uniform coal powder particle size and high representativeness, which is beneficial for subsequent high-precision calorific value analysis.

[0111] The suction machine 18 is used to automatically collect coal samples on the coal conveyor belt. It draws the raw coal sample (lumpy coal or coarse-grained coal) into the system through a pipeline and transports it to the primary crusher 20. The manual sampling port 19 receives manually placed coal samples and transports them to the primary crusher 20. The primary crusher 20 performs preliminary crushing of the coal samples, breaking large pieces into smaller particles, and then transports these smaller particles to the fine pulverizer 21. The fine pulverizer 21 grinds the crushed coal samples into standard particle sizes, forming analytical-grade fine powder, and then transports the coal powder to the screening machine 22. The screening machine 22 screens the ground coal powder to ensure uniform particle size and then transports the coal powder to the temporary storage bin 23 for temporary storage. The temporary storage bin 23 temporarily stores the screened coal powder. The leveling mechanism 24 evenly spreads the coal powder onto the electrically controlled displacement platform. Coal powder is moved below the hyperspectral imager 15, which focuses the coal powder to observe a clear and complete hyperspectral image. The imager also allows for setting the opening and closing degree of the electrically controlled valve in the temporary storage chamber 23 and the transmission speed of the electrically controlled displacement platform 4, enabling continuous hyperspectral sampling. The hyperspectral imager 15 scans the coal powder to obtain hyperspectral data, which is then uploaded to the industrial control all-in-one machine 8. The industrial touch screen all-in-one machine 8 processes and analyzes the collected data, uses built-in artificial intelligence algorithms to predict the calorific value of the coal, and displays the prediction results on the screen.

[0112] The above description is merely a preferred embodiment of the present utility model and is not intended to limit the present utility model in any way. Although the present utility model has been disclosed above with reference to a preferred embodiment, it is not intended to limit the present utility model. Any person skilled in the art can make some modifications or alterations to the above-disclosed technical content to create equivalent embodiments without departing from the scope of the present utility model's technical solution. Any simple modifications, equivalent substitutions, and improvements made to the above embodiments without departing from the scope of the present utility model's technical solution, based on the technical essence of the present utility model and within the spirit and principles of the present utility model, shall still fall within the protection scope of the present utility model's technical solution.

Claims

1. A coal calorific value analysis device based on hyperspectral imaging, characterized in that, It includes a sampling and pulverizing module, a frame module, a pulverized coal conveying module, a system light source module, a hyperspectral image acquisition module, and a processing and display module; The rack module includes a rack (1), casters (2), a hyperspectral darkroom (5), a cooling fan (6), and a housing (7). The frame (1) is connected to the hyperspectral dark box (5) and the housing (7) at the top, and the bottom of the frame (1) is connected to the casters (2); The top of the hyperspectral dark box (5) and the housing (7) are respectively equipped with a heat dissipation fan (6), and the inside of the housing (7) is equipped with a sampling and powder preparation module for coal sample collection and powder preparation. The frame (1) is connected to the coal powder transport module to transport the coal powder to be tested to the data acquisition area and to collect the coal powder with complete data acquisition. The hyperspectral dark box (5) is equipped with a system light source module and a hyperspectral image acquisition module, which are used to provide a stable homogenizing light source for hyperspectral data acquisition and for acquiring hyperspectral image data, respectively. The processing and display module is installed on the front panel of the hyperspectral dark box (5) for processing hyperspectral data and displaying calorific value analysis results.

2. The coal calorific value analysis device based on hyperspectral imaging according to claim 1, characterized in that, The sampling and powder preparation module includes a suction machine (18), a manual sampling port (19), a primary crusher (20), a fine powder preparation machine (21), a screening machine (22), a temporary storage bin (23), and a leveling mechanism (24). The suction machine (18) is connected to the primary crusher (20), and the manual sampling port (19) is connected to the primary crusher (20). The material is fed into the primary crusher (20) through the manual sampling port (19) or automatically sucked in by the suction machine (18). The output ends of the manual sampling port (19) and the suction machine (18) are connected to the feed inlet of the primary crusher (20). The discharge port of the primary crusher (20) is connected to the feed inlet of the fine powder mill (21). After the primary crusher (20) performs preliminary crushing of the material, the output material enters the fine powder mill (21). Further grinding and refining, the outlet of the fine powder mill (21) is connected to the inlet of the screening machine (22). The material processed by the fine powder mill (21) is transported to the screening machine (22) for screening and grading. The outlet of the screening machine (22) is connected to the inlet of the temporary storage bin (23). The qualified material screened by the screening machine (22) enters the temporary storage bin (23) for temporary storage. The outlet of the temporary storage bin (23) is connected to the feeding area of ​​the leveling mechanism (24). The material in the temporary storage bin (23) is transported to the leveling mechanism (24) for leveling.

3. The coal calorific value analysis device based on hyperspectral imaging according to claim 1, characterized in that, The pulverized coal transport module includes a collection box (3) and an electrically controlled displacement platform (4). The electrically controlled displacement platform (4) is installed above the frame (1), and the electrically controlled displacement platform (4) is electrically connected to the industrial touch screen all-in-one machine (8) that processes the display module. The collection box (3) is installed on the right side of the frame (1), and the shell of the collection box (3) is pulled out from the frame (1). The collection box (3) is a collection box with a drawer structure with a round handle.

4. The coal calorific value analysis device based on hyperspectral imaging according to claim 1, characterized in that, The system light source module includes a halogen cold light source (17), which is installed inside a hyperspectral dark box; The halogen cold light source (17) includes a set of cold halogen lamps with a continuous spectrum in the wavelength range of 400-2500nm, and the number of cold halogen lamps in the set is six. There are three cold halogen lamps on each side of the set, which are installed at both ends of the interior of the hyperspectral dark box (5). The installation angle of the set of cold halogen lamps is 40 degrees to 50 degrees, so that the light source center of the set of cold halogen lamps faces the area directly below the hyperspectral imager (15).

5. The coal calorific value analysis device based on hyperspectral imaging according to claim 1, characterized in that, The hyperspectral image acquisition module includes a working distance adjustment mechanism (14), a hyperspectral imager (15), and a dustproof transparent plate (16). The working distance adjustment mechanism (14) is connected to the hyperspectral imager (15), and the dustproof transparent plate (16) is set below the hyperspectral imager (15); The working distance adjustment mechanism (14) is a working distance adjustment mechanism, and the working distance adjustment mechanism (14) is electrically connected to the industrial touch screen all-in-one machine (8) through an Ethernet cable or RS485 communication cable to adjust the working distance between the hyperspectral imager (15) and the coal powder to be detected; The hyperspectral imager (15) is electrically connected to the industrial touch screen all-in-one machine (8) via a CameraLink interface or a USB port. The wavelength of the hyperspectral imager (15) covers at least the short-wave infrared region, which is 1000 nm - 2500 nm. The dustproof transparent plate (16) is installed horizontally inside the hyperspectral dark box (5). The dustproof transparent plate (16) is made of high borosilicate glass or fused silica glass.

6. The coal calorific value analysis device based on hyperspectral imaging according to claim 1, characterized in that, The processing and display module includes an industrial touch screen all-in-one machine (8), a status indicator light (9), a start button (10), an emergency stop button (11), a network cable interface (12), and a USB interface (13). The industrial touch screen all-in-one machine (8), status indicator (9), start button (10), emergency stop button (11), network cable interface (12) and USB interface (13) are respectively installed on the front panel of the hyperspectral dark box (5); The industrial touch screen all-in-one machine (8) is used to process the coal powder hyperspectral data collected by the hyperspectral imager (15) and analyze the coal calorific value parameters. The industrial touch screen all-in-one machine (8) controls and adjusts the parameters of the electrically controlled displacement platform (4), the working distance adjustment mechanism (14), the hyperspectral imager (15), and the sampling and powder preparation module.

7. The coal calorific value analysis device based on hyperspectral imaging according to claim 2, characterized in that, The suction machine (18) is electrically connected to the industrial touch screen all-in-one machine (8), and an electrically controlled valve is provided at the bottom of the temporary storage compartment (23), and the electrically controlled valve of the temporary storage compartment (23) is electrically connected to the industrial touch screen all-in-one machine (8).

8. The coal calorific value analysis device based on hyperspectral imaging according to claim 2, characterized in that, The leveling mechanism (24) includes a metal scraper and a motor A; The metal scraper is connected to the motor A. The metal scraper of the leveling mechanism (24) is fixed at the upper end of the electrically controlled displacement platform (4). The motor A drives the metal scraper to rotate, and the metal scraper adjusts the height of the coal powder.

9. The coal calorific value analysis device based on hyperspectral imaging according to claim 3, characterized in that, The electrically controlled displacement platform (4) includes a drive wheel, a driven wheel and a drive motor. The drive wheel and the driven wheel are connected by a conveyor belt. The drive motor drives the drive wheel to rotate, which in turn drives the conveyor belt to move, thereby realizing the transportation of coal powder.

10. The coal calorific value analysis device based on hyperspectral imaging according to claim 5, characterized in that, The working distance adjustment mechanism (14) includes a linear slide rail and a motor B; The top of the linear slide rail is connected to the motor B, and the slider on the linear slide rail is connected to the hyperspectral imager (15) to adjust the physical distance between the hyperspectral imager (15) and the coal powder to be detected.

Images