Multi-source fusion spectrum coal quality fast detection device and method

Abstract

The invention relates to the technical field of coal quality detection, in particular to a multi-source fusion spectrum coal quality rapid detection device and method. The near-infrared spectrum detection module is used for emitting near-infrared square light spots to the surface of the target coal sample so as to detect the overall spectrum characteristic data of the target coal sample; the X fluorescence spectrum detection module is used for performing multi-angle spectrum detection on the target coal sample to obtain element composition data in the target coal sample; the laser sensing module is used for vertically emitting a laser beam to the target coal sample and receiving corresponding reflected light so as to determine height information of the surface of the target coal sample; and the data processing module is used for fusing the overall spectral feature data and the element component data, calibrating fusion information according to the height information, and performing data processing operation on the spectral compensation information to calculate various coal quality indexes corresponding to the target coal sample, so that the adaptability to coal samples in different states is improved, and the coal quality index detection accuracy is improved. And the real-time detection requirement in the coal production process is met.

Description

Technical Field

[0001] This application relates to the field of coal quality testing technology, and in particular to a multi-source fusion spectral rapid coal quality testing device and method. Background Technology

[0002] In the process of coal production and processing, rapid and accurate detection of coal quality is crucial for production scheduling, product quality control, and the rational utilization of coal resources.

[0003] Existing coal quality testing technologies have several shortcomings. For example, some testing equipment is slow and cannot meet the real-time testing needs of continuous coal production. Some spectral-based testing devices have poor adaptability to coal sample conditions, making it difficult to guarantee the accuracy of test results when the coal sample height and distribution are uneven. While near-infrared spectroscopy can quickly detect the organic components of coal, its use alone has limitations. XRF (X-ray fluorescence) spectroscopy can detect elemental composition information, but in practical applications, its detection location and coal sample condition have a significant impact on the results. Furthermore, traditional testing methods fail to effectively integrate multiple spectral information, failing to fully utilize the advantages of different spectral technologies.

[0004] In summary, existing coal quality testing technologies have low accuracy, slow testing speed, and poor adaptability to coal sample conditions, which urgently need to be addressed. Summary of the Invention

[0005] This application provides a multi-source fusion spectral rapid coal quality detection device and method to solve the problems of low detection accuracy, slow detection speed, and poor adaptability to coal sample conditions in existing coal quality detection technologies.

[0006] The first aspect of this application provides a multi-source fusion spectral coal quality rapid detection device, comprising the following steps: a detection frame erected above a preset coal conveyor belt for fixing a preset near-infrared spectral detection module, an X-ray fluorescence spectral detection module, and a laser sensing module; the near-infrared spectral detection module for emitting a near-infrared square light spot onto the surface of a target coal sample to detect the overall spectral characteristic data of the target coal sample; the X-ray fluorescence spectral detection module for performing multi-angle spectral detection on the target coal sample to obtain elemental composition data in the target coal sample; the laser sensing module for vertically emitting a laser beam onto the target coal sample and receiving the corresponding reflected light to determine the height information of the target coal sample surface through the reflected light; and a data processing module for fusing the overall spectral characteristic data and the elemental composition data to obtain corresponding spectral fusion information, calibrating the spectral fusion information according to the height information to obtain corresponding spectral compensation information, and performing data processing operations on the spectral compensation information to calculate multiple coal quality indicators corresponding to the target coal sample.

[0007] Based on the above-mentioned technical means, the embodiments of this application, by setting up a specific arrangement of spectral detection modules and laser sensing modules, can sense the height of coal samples in real time, fuse and analyze near-infrared spectral and X-ray fluorescence spectral data, and adjust detection parameters, thereby improving the adaptability of the detection device to coal samples in different states, realizing rapid and accurate detection of coal quality, and meeting the real-time detection needs in the coal production process.

[0008] Optionally, in one embodiment of this application, the near-infrared spectroscopy detection module includes: a near-infrared spectrometer, used to emit near-infrared light corresponding to a square spot based on the unidirectional focusing characteristics of a cylindrical lens, and to output near-infrared light corresponding to a large square spot with uniform spatial energy distribution after multiple reflections of the incident near-infrared light within the integrating sphere by combining the diffuse reflection characteristics of the integrating sphere, so as to use the near-infrared light corresponding to the large square spot to detect the overall spectral characteristic data of the target coal sample.

[0009] Based on the above-mentioned technical means, the embodiments of this application, through the switching design of square light spots and large light spots, can select the appropriate detection mode according to the actual situation of the coal sample, which significantly enhances the adaptability of the device to different coal sample states and expands the application range. In addition, the near-infrared spectrometer in the embodiments of this application adopts a square light spot design, thereby reducing the blind zone of light spot edge detection and further improving the accuracy of near-infrared spectral detection, ensuring the accuracy of detection from multiple aspects.

[0010] Optionally, in one embodiment of this application, the X-ray fluorescence spectroscopy detection module includes: multiple X-ray fluorescence spectrometers, which are distributed perpendicularly to the coal flow transport direction, and are used to perform multi-angle spectral detection on the target coal sample through each X-ray fluorescence spectrometer to obtain corresponding elemental composition data.

[0011] Based on the above-mentioned technical means, the embodiments of this application use three XRF spectrometers arranged horizontally and perpendicular to the coal flow to detect coal samples from multiple angles, thereby effectively reducing errors caused by the non-uniformity of the coal samples.

[0012] Optionally, in one embodiment of this application, the laser sensing module includes: a plurality of laser sensors, which are distributed in parallel with the plurality of X-ray fluorescence spectrometers, for vertically emitting laser beams toward the target coal sample through each laser sensor and receiving the reflected light corresponding to each laser sensor, so as to calculate the height information corresponding to the surface of the target coal sample based on the reflected light.

[0013] Based on the above technical means, the embodiments of this application arrange the laser sensing module and the XRF spectrometer in parallel in a one-to-one correspondence to accurately sense the coal sample height in each XRF spectrometer detection area, thereby providing accurate data for the calibration of detection results.

[0014] Optionally, in one embodiment of this application, it further includes: a transmission module for sending the various coal quality indicators to a target user terminal through a preset data transmission interface; and a visualization module for displaying the various coal quality indicators.

[0015] Based on the above technical means, this application embodiment constructs a transmission module and a visualization module to transmit various coal quality indicators to the user terminal in a timely manner, enabling the user to intuitively understand the relevant indicator data of the coal sample and providing an important basis for taking corresponding measures in the future.

[0016] A second aspect of this application provides a multi-source fusion spectral coal quality rapid detection device, comprising the following steps: emitting a near-infrared square light spot onto the surface of a target coal sample transported on a preset coal conveyor belt to detect the overall spectral characteristic data of the target coal sample; performing multi-angle spectral detection on the target coal sample to obtain elemental composition data in the target coal sample; vertically emitting a laser beam onto the target coal sample and receiving the corresponding reflected light to determine the height information of the target coal sample surface through the reflected light; fusing the overall spectral characteristic data and the elemental composition data to obtain corresponding spectral fusion information, calibrating the spectral fusion information according to the height information to obtain corresponding spectral compensation information, and performing data processing operations on the spectral compensation information to calculate various coal quality indicators corresponding to the target coal sample.

[0017] Optionally, in one embodiment of this application, the step of emitting a near-infrared square light spot onto the surface of a target coal sample transported on a preset coal conveyor belt to detect the overall spectral characteristic data of the target coal sample includes: acquiring the detection requirements and coal sample distribution corresponding to the target coal sample, and determining the light spot emission mode based on the detection requirements and coal sample distribution; emitting a near-infrared square light spot adapted to the coal flow width in the coal flow transport direction through the light spot emission mode to detect the overall spectral characteristic data of the target coal sample.

[0018] A third aspect of this application provides an electronic device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the multi-source fusion spectral rapid detection method for coal quality as described in the above embodiments.

[0019] A fourth aspect of this application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described multi-source fusion spectral rapid detection method for coal quality.

[0020] A fifth aspect of this application provides a computer program product, including a computer program that is executed to implement the above-described multi-source fusion spectral rapid detection method for coal quality.

[0021] Therefore, the embodiments of this application have the following beneficial effects: The embodiments of this application include a detection frame erected above a pre-set coal conveyor belt, used to fix a pre-set near-infrared spectroscopy detection module, an X-ray fluorescence spectroscopy detection module, and a laser sensing module; the near-infrared spectroscopy detection module is used to emit a near-infrared square light spot onto the surface of the target coal sample to detect the overall spectral characteristic data of the target coal sample; the X-ray fluorescence spectroscopy detection module is used to perform multi-angle spectral detection on the target coal sample to obtain elemental composition data in the target coal sample; the laser sensing module is used to vertically emit a laser beam onto the target coal sample and receive the corresponding reflected light to determine the height information of the target coal sample surface through the reflected light; the data processing module is used to fuse the overall spectral characteristic data and elemental composition data to obtain corresponding spectral fusion information, and to calibrate the spectral fusion information according to the height information to obtain corresponding spectral compensation information, and to perform data processing operations on the spectral compensation information to calculate various coal quality indicators corresponding to the target coal sample. This application utilizes a specially arranged spectral detection module and laser sensing module to sense the coal sample height in real time. It fuses and analyzes near-infrared and X-ray fluorescence spectral data and adjusts detection parameters, thereby improving the adaptability of the detection device to coal samples in different states. This enables rapid and accurate detection of coal quality, meeting the real-time detection needs in the coal production process. Therefore, it solves the problems of low detection accuracy, slow detection speed, and poor adaptability to coal sample states in existing coal quality detection technologies.

[0022] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0023] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein: Figure 1 This is a schematic diagram of the structure of the electronic device provided in the embodiments of this application; Figure 2 This is an example diagram of a multi-source fusion spectral coal quality rapid detection device according to an embodiment of this application; Figure 3 This is a flowchart of a multi-source fusion spectral rapid detection method for coal quality provided according to an embodiment of this application.

[0024] Among them, 10-multi-source fusion spectroscopy coal quality rapid detection device; 100-detection frame, 200-near-infrared spectroscopy detection module, 300-X-fluorescence spectroscopy detection module, 400-laser sensing module, 500-data processing module; 301-memory, 302-processor, 303-communication interface. Detailed Implementation

[0025] The embodiments of this application are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain this application, and should not be construed as limiting this application.

[0026] The following description, with reference to the accompanying drawings, describes a multi-source fusion spectral coal quality rapid detection device and method according to embodiments of this application. Addressing the problems mentioned in the background art, this application provides a multi-source fusion spectral coal quality rapid detection device. This device includes a detection frame erected above a pre-set coal conveyor belt, used to fix a pre-set near-infrared spectral detection module, an X-ray fluorescence spectral detection module, and a laser sensing module. The near-infrared spectral detection module emits a near-infrared square light spot onto the surface of a target coal sample to detect the overall spectral characteristic data of the target coal sample. The X-ray fluorescence spectral detection module performs multi-angle spectral detection on the target coal sample to obtain elemental composition data. The laser sensing module emits a laser beam vertically onto the target coal sample and receives the corresponding reflected light to determine the height information of the target coal sample surface through the reflected light. A data processing module fuses the overall spectral characteristic data and elemental composition data to obtain corresponding spectral fusion information, calibrates the spectral fusion information according to the height information to obtain corresponding spectral compensation information, and performs data processing operations on the spectral compensation information to calculate various coal quality indicators corresponding to the target coal sample. This application utilizes a specially arranged spectral detection module and laser sensing module to sense the coal sample height in real time. It fuses and analyzes near-infrared and X-ray fluorescence spectral data and adjusts detection parameters, thereby improving the adaptability of the detection device to coal samples in different states. This enables rapid and accurate detection of coal quality, meeting the real-time detection needs in the coal production process. Therefore, it solves the problems of low detection accuracy, slow detection speed, and poor adaptability to coal sample states in existing coal quality detection technologies.

[0027] Specifically, Figure 1 This is a block diagram of the multi-source fusion spectral coal quality rapid detection device according to an embodiment of this application.

[0028] like Figure 1As shown, the multi-source fusion spectroscopy coal quality rapid detection device 10 includes: a detection frame 100, a near-infrared spectroscopy detection module 200, an X-ray fluorescence spectroscopy detection module 300, a laser sensing module 400, and a data processing module 500.

[0029] The detection frame 100, which is built above the pre-set coal conveyor belt, is used to fix the pre-set near-infrared spectroscopy detection module 200, X-ray fluorescence spectroscopy detection module 300 and laser sensing module 400.

[0030] The embodiments of this application mainly include a detection frame 100, a near-infrared spectroscopy detection module 200, an X-ray fluorescence spectroscopy detection module 300, a laser sensing module 400, and a data processing module 500. The detection frame 100 is installed above the coal flow conveying channel, perpendicular to the coal flow direction, to support and fix each detection module.

[0031] A detection frame is erected at a suitable location above the coal conveyor belt. The frame is securely installed using bolts and other fasteners, ensuring it is perpendicular to the coal flow direction and will not shift due to coal flow vibrations. A near-infrared spectrometer is installed in the center of the detection frame, its angle and position adjusted so that the square near-infrared spot completely covers the detection area on the coal flow surface. The three XRF spectrometers from the X-ray fluorescence spectroscopy detection module 300 are installed on the detection frame at suitable positions on both sides and below the near-infrared spectrometer, ensuring that the X-ray emission direction effectively irradiates the coal sample. Three laser sensors are installed on the side of the detection frame closest to the coal flow, arranged parallel to the corresponding XRF spectrometers, ensuring comprehensive sensing of the coal sample surface height at the corresponding location. Therefore, the embodiments of this application provide a reliable monitoring environment for each detection module by setting up a detection frame 100 and installing corresponding near-infrared spectroscopy detection modules 200, X-ray fluorescence spectroscopy detection modules 300 and laser sensing modules 400 at corresponding positions on the detection frame 100.

[0032] The near-infrared spectroscopy detection module 200 is used to emit a near-infrared square light spot onto the surface of the target coal sample to detect the overall spectral characteristic data of the target coal sample.

[0033] Secondly, the embodiments of this application can initialize and debug the near-infrared spectroscopy detection module 200 to calibrate the detection parameters such as the wavelength range and detection time of the near-infrared spectrometer. After that, the embodiments of this application can emit near-infrared square light spots onto the surface of the coal sample being transported on the coal conveyor belt, thereby obtaining the overall spectral characteristic data of the coal sample.

[0034] Optionally, in one embodiment of this application, the near-infrared spectroscopy detection module 200 includes: a near-infrared spectrometer, used to emit near-infrared light corresponding to a square spot based on the unidirectional focusing characteristics of a cylindrical lens, and to output near-infrared light corresponding to a large square spot with uniform spatial energy distribution after multiple reflections of the incident near-infrared light within the integrating sphere by combining the diffuse reflection characteristics of the integrating sphere, so as to use the near-infrared light corresponding to the large square spot to detect the overall spectral characteristic data of the target coal sample.

[0035] Specifically, the near-infrared spectroscopy detection module 200 in this embodiment includes a near-infrared spectrometer, which emits a square near-infrared spot with a design size of 10cm in length and 8cm in width. Compared with a traditional circular spot, the edge of the square spot has a closer contact with the coal sample surface under the same spot coverage area, which can effectively reduce the blind zone of coal sample detection at the edge of the spot. At the same time, the length of the square spot in the coal flow transport direction is adapted to the width of the coal flow, which can achieve large-area coverage of the transverse cross section of the coal flow and improve the representativeness of the detection data.

[0036] In addition, the near-infrared spectrometer also has a large spot switching function. The diameter of the large spot is 15cm. When it is necessary to perform preliminary rapid detection of coal samples or when the coal sample distribution is relatively sparse, it can be switched to the large spot mode. The large spot can cover a larger coal sample area per unit time, and the detection speed is increased by about 30%.

[0037] It should be noted that the embodiments of this application can determine the testing requirements for the coal sample based on the actual situation of the coal sample. If preliminary rapid testing is required, the embodiments of this application can switch the near-infrared spectrometer to the large spot mode, where the large spot emits near-infrared light to irradiate the coal sample and collect near-infrared spectral data. If precise testing is required, the square spot mode can be maintained for testing, thereby quickly obtaining the overall spectral characteristics of the coal sample and providing solid basic data for subsequent precise testing. In actual implementation, the embodiments of this application can adjust the square spot and large spot modes of the near-infrared spectrometer, test the spot size, coverage, and detection effect to ensure that the switching between the two modes is normal and meets the testing requirements.

[0038] Therefore, the embodiments of this application, through the switching design of square spot and large spot, can select the appropriate detection mode according to the actual situation of the coal sample, which significantly enhances the adaptability of the device to different coal sample states and expands the application range. In addition, the near-infrared spectrometer in the embodiments of this application adopts a square spot design, thereby reducing the blind zone of spot edge detection and further improving the accuracy of near-infrared spectroscopy detection, thus ensuring the accuracy of detection from multiple aspects.

[0039] The X-ray fluorescence spectroscopy detection module 300 is used to perform multi-angle spectral detection on the target coal sample to obtain elemental composition data of the target coal sample.

[0040] Furthermore, embodiments of this application can debug the X-ray fluorescence spectroscopy detection module 300 and calibrate the detection parameters of the XRF spectrometer, such as wavelength range and detection time. After that, embodiments of this application can perform multi-angle spectral detection on the coal sample to obtain elemental composition data in the coal sample.

[0041] Optionally, in one embodiment of this application, the X-ray fluorescence spectroscopy detection module 300 includes: multiple X-ray fluorescence spectrometers installed on a preset detection frame, the multiple X-ray fluorescence spectrometers being distributed perpendicularly to the coal flow transport direction, for performing multi-angle spectral detection on the target coal sample through each X-ray fluorescence spectrometer to obtain corresponding elemental composition data.

[0042] In the specific implementation process, the X-ray fluorescence spectroscopy detection module 300 in this application embodiment consists of three XRF spectrometers, which are installed horizontally on the detection frame and distributed perpendicularly to the coal flow. The three XRF spectrometers are located on both sides and below the near-infrared spectrometer (or other reasonable distribution positions). The three XRF spectrometers emit X-rays from different positions to irradiate the coal sample and collect XRF spectral data to detect the content of inorganic elements in the coal sample, such as silicon dioxide, aluminum oxide, ferric oxide, calcium, magnesium and other elements.

[0043] Therefore, the embodiments of this application use three XRF spectrometers arranged horizontally and perpendicular to the coal flow to detect coal samples from multiple angles, thereby effectively reducing errors caused by the non-uniformity of the coal samples.

[0044] The laser sensing module 400 is used to vertically emit a laser beam toward the target coal sample and receive the corresponding reflected light in order to determine the height information of the target coal sample surface through the reflected light.

[0045] Furthermore, embodiments of this application can calibrate the position and detection accuracy of the laser sensor by simulating coal samples at different heights to ensure that the laser sensing module 400 can accurately acquire coal sample height information.

[0046] Subsequently, in embodiments of this application, when the coal flow passes under the detection device, the three laser sensors of the laser sensing module 400 emit laser beams toward the surface of the coal flow, receive the reflected light, calculate the height information of the coal sample surface at the corresponding position, and transmit the data to the data processing module.

[0047] Optionally, in one embodiment of this application, the laser sensing module 400 includes: a plurality of laser sensors, which are distributed in parallel with a plurality of X-ray fluorescence spectrometers, for vertically emitting laser beams toward the target coal sample through each laser sensor and receiving the reflected light corresponding to each laser sensor, so as to calculate the height information corresponding to the surface of the target coal sample based on the reflected light.

[0048] It should be noted that the laser sensing module 400 in this embodiment is installed on the side of the detection frame 100 near the coal flow and consists of three laser sensors, each corresponding to an XRF spectrometer, arranged in parallel. Each laser sensor emits a laser beam perpendicularly toward the coal flow surface and senses the coal sample height by receiving the reflected light. The detection accuracy of the laser sensors is ±0.1cm, and the measurement range is 0-50cm, thus enabling real-time and accurate acquisition of the height information of the coal sample surface at the corresponding location, providing reliable data support for subsequent adjustment of detection parameters.

[0049] Therefore, the embodiments of this application arrange the laser sensing module 400 and the XRF spectrometer in parallel, corresponding one-to-one, to accurately sense the coal sample height in each XRF spectrometer detection area, thereby providing accurate data for the calibration of detection results.

[0050] The data processing module 500 is used to fuse overall spectral feature data and elemental composition data to obtain corresponding spectral fusion information, and to calibrate the spectral fusion information according to the height information to obtain corresponding spectral compensation information. It also performs data processing operations on the spectral compensation information to calculate various coal quality indicators corresponding to the target coal sample.

[0051] Furthermore, embodiments of this application also require data transmission cables to connect the near-infrared spectroscopy detection module 200, the XRF spectroscopy detection module 300, and the laser sensing module 400 to the data processing module 500 respectively to ensure stable connections. Simultaneously, the multi-source data fusion algorithm in the data processing module 500 is debugged. Fusion tests are conducted by inputting spectral data from different types of coal samples to optimize algorithm parameters and ensure the data fusion effect and accuracy of the detection results.

[0052] Subsequently, in embodiments of this application, after the data processing module 500 receives the spectral data and coal sample height information, it uses a multi-source data fusion algorithm to fuse near-infrared spectral data and XRF spectral data according to preset fusion rules, such as feature extraction and weighted fusion, integrating the spectral feature information of organic components and inorganic elements to obtain corresponding spectral fusion information. Secondly, embodiments of this application can calibrate the fused spectral data according to the coal sample height information and the spectral data calibration model to compensate for the influence of changes in coal sample height on the detection results, thereby obtaining corresponding spectral compensation information. Finally, embodiments of this application can use a built-in data processing algorithm to analyze and process the spectral compensation information to calculate coal quality indicators, such as calorific value, total water, total sulfur, ash content, volatile matter, carbon content, hydrogen content, and the content of various inorganic elements.

[0053] Therefore, the embodiments of this application achieve rapid detection of coal quality by combining efficient multi-source data fusion and analysis algorithms, meeting the needs of real-time detection. Furthermore, the data processing module 500 can flexibly adjust detection parameters and fusion strategies based on height information, thus adapting to coal sample detection at different heights and with different distribution states. In addition, the embodiments of this application achieve near-infrared spectroscopy and XRF spectroscopy data fusion in a single detection, simultaneously acquiring multiple coal quality index data. The detection information of organic components and inorganic elements complement each other, providing more comprehensive and valuable data support for quality control and production scheduling in coal production and processing. This helps optimize production processes, rationally utilize coal resources, and improve production efficiency and product quality.

[0054] Optionally, in one embodiment of this application, the multi-source fusion spectral coal quality rapid detection device 10 further includes a transmission module and a visualization module.

[0055] The transmission module is used to send various coal quality indicators to the target user terminal through a preset data transmission interface.

[0056] The visualization module is used to display various coal quality indicators.

[0057] In actual implementation, the data processing module 500 can display the calculated coal quality index results through a pre-equipped display screen or other visualization module; at the same time, the data can also be transmitted to external devices, such as computers and production control systems, through Ethernet interfaces, USB interfaces, or other transmission modules for users to view and use.

[0058] Therefore, this application embodiment constructs a transmission module and a visualization module to transmit various coal quality indicators to the user terminal in a timely manner, enabling the user to intuitively understand the relevant indicator data of the coal sample and providing an important basis for taking corresponding measures in the future.

[0059] In summary, the embodiments of this application, by employing multi-source spectral fusion technology, can perform real-time detection during coal flow transportation without requiring complex pretreatment of coal samples, breaking through the limitations of traditional single-spectral detection and providing a new technical approach for the field of coal quality testing. Furthermore, the corresponding arrangement of the laser sensing module 400 and the XRF spectrometer in the embodiments of this application, as well as the innovative design of the square and large light spots of the near-infrared spectrometer, greatly promote the innovative development of coal quality testing technology.

[0060] The multi-source fusion spectral coal quality rapid detection device proposed in this application includes a detection frame built above a preset coal conveyor belt for fixing a preset near-infrared spectral detection module, an X-ray fluorescence spectral detection module, and a laser sensing module. The near-infrared spectral detection module emits a near-infrared square spot onto the surface of a target coal sample to detect the overall spectral characteristic data of the target coal sample. The X-ray fluorescence spectral detection module performs multi-angle spectral detection on the target coal sample to obtain elemental composition data. The laser sensing module emits a laser beam vertically onto the target coal sample and receives the corresponding reflected light to determine the height information of the target coal sample surface through the reflected light. The data processing module fuses the overall spectral characteristic data and elemental composition data to obtain corresponding spectral fusion information, calibrates the spectral fusion information according to the height information to obtain corresponding spectral compensation information, and performs data processing operations on the spectral compensation information to calculate various coal quality indicators corresponding to the target coal sample. This application improves the adaptability of the detection device to coal samples in different states by setting up a specific arrangement of spectral detection modules and laser sensing modules to sense the coal sample height in real time, fuse and analyze near-infrared spectral and X-ray fluorescence spectral data, and adjust detection parameters. This enables rapid and accurate detection of coal quality and meets the real-time detection needs in the coal production process.

[0061] Secondly, the multi-source fusion spectral rapid detection method for coal quality according to the embodiments of this application is described with reference to the accompanying drawings.

[0062] Figure 2 This is a flowchart of a multi-source fusion spectral rapid detection method for coal quality provided in an embodiment of this application.

[0063] like Figure 2 As shown, this multi-source fusion spectral rapid detection method for coal quality includes the following steps: In step S201, a near-infrared square spot is emitted onto the surface of the target coal sample being transported on a preset coal conveyor belt to detect the overall spectral characteristic data of the target coal sample.

[0064] In step S202, the target coal sample is subjected to multi-angle spectral detection to obtain elemental composition data of the target coal sample.

[0065] In step S203, a laser beam is emitted vertically toward the target coal sample, and the corresponding reflected light is received to determine the height information of the target coal sample surface through the reflected light.

[0066] In step S204, the overall spectral feature data and elemental composition data are fused to obtain the corresponding spectral fusion information. The spectral fusion information is then calibrated based on the height information to obtain the corresponding spectral compensation information. Data processing operations are performed on the spectral compensation information to calculate various coal quality indicators corresponding to the target coal sample.

[0067] Optionally, in one embodiment of this application, a near-infrared square light spot is emitted onto the surface of a target coal sample transported on a preset coal conveyor belt to detect the overall spectral characteristic data of the target coal sample. This includes: acquiring the detection requirements and coal sample distribution corresponding to the target coal sample, and determining the light spot emission mode based on the detection requirements and coal sample distribution; and emitting a near-infrared square light spot adapted to the coal flow width in the coal flow transport direction through the light spot emission mode to detect the overall spectral characteristic data of the target coal sample.

[0068] It should be noted that the foregoing explanation of the embodiment of the multi-source fusion spectral coal quality rapid detection device also applies to the multi-source fusion spectral coal quality rapid detection method of this embodiment, and will not be repeated here.

[0069] The multi-source fusion spectral rapid coal quality detection method proposed in this application involves emitting a near-infrared square spot onto the surface of a target coal sample transported on a pre-set coal conveyor belt to detect the overall spectral characteristics of the target coal sample; performing multi-angle spectral detection on the target coal sample to obtain elemental composition data; vertically emitting a laser beam onto the target coal sample and receiving the corresponding reflected light to determine the height information of the target coal sample surface; fusing the overall spectral characteristics and elemental composition data to obtain corresponding spectral fusion information; calibrating the spectral fusion information based on the height information to obtain corresponding spectral compensation information; and performing data processing operations on the spectral compensation information to calculate various coal quality indicators corresponding to the target coal sample. This application, by setting up a specifically arranged spectral detection module and laser sensing module, senses the coal sample height in real time, fuses and analyzes near-infrared and X-ray fluorescence spectral data, and adjusts detection parameters, thereby improving the adaptability to coal samples in different states and achieving rapid and accurate detection of coal quality, meeting the real-time detection needs in the coal production process.

[0070] Figure 3 A schematic diagram of the structure of an electronic device provided in an embodiment of this application. The electronic device may include: The memory 301, the processor 302, and the computer program stored on the memory 301 and capable of running on the processor 302.

[0071] When the processor 302 executes the program, it implements the multi-source fusion spectral rapid coal quality detection method provided in the above embodiments.

[0072] Furthermore, electronic devices also include: Communication interface 303 is used for communication between memory 301 and processor 302.

[0073] The memory 301 is used to store computer programs that can run on the processor 302.

[0074] The memory 301 may include high-speed RAM memory, and may also include non-volatile memory, such as at least one disk storage device.

[0075] If the memory 301, processor 302, and communication interface 303 are implemented independently, then the communication interface 303, memory 301, and processor 302 can be interconnected via a bus to complete communication between them. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. Buses can be categorized as address buses, data buses, control buses, etc. For ease of representation, Figure 3 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0076] Optionally, in a specific implementation, if the memory 301, processor 302, and communication interface 303 are integrated on a single chip, then the memory 301, processor 302, and communication interface 303 can communicate with each other through an internal interface.

[0077] Processor 302 may be a central processing unit (CPU), an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of this application.

[0078] This application also provides a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the above-described multi-source fusion spectral rapid detection method for coal quality.

[0079] This application also provides a computer program product, including a computer program, which, when executed, is used to implement the above-described multi-source fusion spectral rapid detection method for coal quality.

[0080] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0081] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0082] Any process or method described in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or N executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as should be understood by those skilled in the art to which embodiments of this application pertain.

[0083] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable medium may be paper or other suitable media on which the program can be printed, since the program can be obtained electronically by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.

[0084] It should be understood that the various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, the N steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. If implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0085] Those skilled in the art will understand that all or part of the steps of the methods in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.

[0086] Furthermore, the functional units in the various embodiments of this application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0087] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of this application.

Claims

1. A multi-source fusion spectral rapid coal quality detection device, characterized in that, include: The detection frame, erected above the pre-set coal conveyor belt, is used to fix the pre-set near-infrared spectroscopy detection module, X-ray fluorescence spectroscopy detection module, and laser sensing module. The near-infrared spectroscopy detection module is used to emit a near-infrared square light spot onto the surface of the target coal sample to detect the overall spectral characteristic data of the target coal sample; The X-ray fluorescence spectroscopy detection module is used to perform multi-angle spectral detection on the target coal sample to obtain elemental composition data in the target coal sample; A laser sensing module is used to vertically emit a laser beam toward the target coal sample and receive the corresponding reflected light, so as to determine the height information of the target coal sample surface through the reflected light; The data processing module is used to fuse the overall spectral feature data and the elemental composition data to obtain corresponding spectral fusion information, and to calibrate the spectral fusion information according to the height information to obtain corresponding spectral compensation information. The module also performs data processing operations on the spectral compensation information to calculate various coal quality indicators corresponding to the target coal sample.

2. The multi-source fusion spectral coal quality rapid detection device according to claim 1, characterized in that, The near-infrared spectroscopy detection module includes: A near-infrared spectrometer is used to emit near-infrared light corresponding to a square spot based on the unidirectional focusing characteristics of a cylindrical lens. By combining the diffuse reflection characteristics of an integrating sphere, the incident near-infrared light is reflected multiple times within the sphere, and the output is near-infrared light corresponding to a large square spot with uniform spatial energy distribution. The near-infrared light corresponding to the large square spot is used to detect the overall spectral characteristic data of the target coal sample.

3. The multi-source fusion spectral coal quality rapid detection device according to claim 1, characterized in that, The X-ray fluorescence spectroscopy detection module includes: Multiple X-ray fluorescence spectrometers are distributed perpendicularly to the coal flow direction, and are used to perform multi-angle spectral detection on the target coal sample by each X-ray fluorescence spectrometer to obtain the corresponding elemental composition data.

4. The multi-source fusion spectral coal quality rapid detection device according to claim 3, characterized in that, The laser sensing module includes: Multiple laser sensors are distributed in parallel with multiple X-ray fluorescence spectrometers. Each laser sensor emits a laser beam vertically toward the target coal sample and receives the reflected light corresponding to each laser sensor, so as to calculate the height information corresponding to the surface of the target coal sample based on the reflected light.

5. The multi-source fusion spectral coal quality rapid detection device according to claim 1, characterized in that, Also includes: The transmission module is used to send the various coal quality indicators to the target user terminal through a preset data transmission interface; The visualization module is used to display the various coal quality indicators.

6. A rapid coal quality detection method using multi-source fusion spectroscopy, characterized in that, Includes the following steps: Near-infrared square light spots are emitted onto the surface of a target coal sample transported on a pre-set coal conveyor belt to detect the overall spectral characteristic data of the target coal sample; The target coal sample was subjected to multi-angle spectral detection to obtain elemental composition data of the target coal sample; A laser beam is emitted vertically toward the target coal sample, and the corresponding reflected light is received, so as to determine the height information of the target coal sample surface through the reflected light; The overall spectral feature data and the elemental composition data are fused to obtain corresponding spectral fusion information. The spectral fusion information is then calibrated based on the height information to obtain corresponding spectral compensation information. Data processing operations are performed on the spectral compensation information to calculate various coal quality indicators corresponding to the target coal sample.

7. The multi-source fusion spectral rapid detection method for coal quality according to claim 6, characterized in that, The step of emitting a near-infrared square spot onto the surface of a target coal sample transported on a pre-set coal conveyor belt to detect the overall spectral characteristic data of the target coal sample includes: The detection requirements and coal sample distribution of the target coal sample are obtained, and the light spot emission mode is determined based on the detection requirements and coal sample distribution. The near-infrared square spot, adapted to the width of the coal flow in the direction of coal flow, is emitted by the spot emission mode to detect the overall spectral characteristic data of the target coal sample.

8. An electronic device, characterized in that, include: The method includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the multi-source fusion spectral rapid detection method for coal quality as described in any one of claims 1-5 or any one of claims 6-7.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, The program is executed by the processor to implement the multi-source fusion spectral rapid detection method for coal quality as described in any one of claims 6-7.

10. A computer program product, comprising a computer program, characterized in that, The computer program is executed to implement the multi-source fusion spectral rapid detection method for coal quality as described in any one of claims 6-7.

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