Boiler pulverized coal particle online measuring device and method based on CT imaging

Abstract

The invention discloses a boiler pulverized coal particle online measurement device and method based on CT imaging, and relates to the technical field of boiler pulverized coal measurement. The device comprises a CT image acquisition module, a CT image preprocessing module, a particle feature analysis module, a three-dimensional reconstruction module and a report output module. By acquiring and analyzing the multi-angle CT images of the feed opening of the pulverized coal bunker and in the hearth, detailed information, including particle size, particle distribution, particle size uniformity, combustion state and other characteristics, of pulverized coal particles entering the boiler can be detected and monitored on line, and by conducting three-dimensional reconstruction on the multi-angle CT images and marking the pulverized coal, the pulverized coal particles can be detected and monitored on line. A user can monitor the state of the pulverized coal particles of the boiler more easily; by integrating the pulverized coal characteristic data and the three-dimensional graph and outputting the report, the particle size and the distribution state of the pulverized coal particles can be visually monitored, the method can be used for analyzing the combustion state of the boiler, and the combustion efficiency of the boiler is further controlled and improved.

Description

Technical Field

[0001] The invention relates to the technical field of boiler coal powder measurement, and in particular to an online measurement device and a measurement method for boiler coal powder particles based on CT imaging. Background Art

[0002] During the operation of the boiler, the characteristics of the coal powder particles entering the furnace (such as particle size distribution, concentration, etc.) directly affect the combustion efficiency, flame stability, and pollutant emissions. The traditional method of measuring coal powder particles in boilers has many limitations, and it is difficult to achieve high-precision, real-time online measurement under complex boiler conditions. For example, the measurement accuracy of ultrasonic measurement and laser measurement methods may drop significantly in the case of high-concentration, large-particle coal powder, or the electrical measurement method is easily affected by factors such as the size, shape, humidity of coal powder particles and electrostatic interference in the airflow, and the measurement stability and accuracy are poor. With the development of CT imaging technology, its application in the field of boilers provides a new way to solve these problems. By obtaining a two-dimensional tomographic image of the coal powder at the discharge port of the coal powder bin or the furnace, the size or state of the coal powder can be understood. However, the existing measurement technology based on CT imaging still has the problem of inaccurate data processing. It often requires manual judgment of the image and analysis of the state of coal powder particle combustion. The error is large and it consumes more human resources. It is impossible to intuitively and comprehensively display the state and particle size of coal powder particles, which increases the difficulty of subsequent boiler combustion state analysis. Summary of the invention

[0003] The object of the present invention is to provide an online measurement device and method for boiler coal powder particles based on CT imaging to solve the problems raised in the above-mentioned background technology.

[0004] To achieve the above object, the present invention provides the following technical solution: an online measurement device for boiler coal powder particles based on CT imaging, comprising: A CT image acquisition module is used to acquire CT images of the pulverized coal bin discharge port and the furnace interior of the boiler at multiple angles for the pulverized coal entering the furnace; A CT image preprocessing module is used to preprocess the CT image and extract its features after preprocessing to obtain a feature image of coal powder particles; a particle characteristic analysis module, which is used to analyze the acquired characteristic images of the coal powder particles, confirm characteristic data of the coal powder particles, and further analyze the characteristic data of the coal powder particles to confirm whether the characteristic threshold is exceeded; The three-dimensional reconstruction module is used to convert the two-dimensional CT image sequence of the pre-processed CT images at different angles within the same time into three-dimensional image data through the ray projection algorithm, and obtain the analysis results of the coal powder particle characteristic data, and mark the coal powder particles exceeding the characteristic threshold in the three-dimensional graphic data; The report output module integrates the three-dimensional image data and the coal powder particle characteristic data, and generates a measurement report for output.

[0005] Preferably, the CT image acquisition module includes a high-temperature resistant X-ray source and a detector array arranged in a specific measurement area, the X-ray source is used to emit high-intensity and high-frequency X-ray beams, and the detector array is composed of a plurality of high-sensitivity detector units, which are used to synchronously collect attenuation data of X-rays after passing through the coal powder bin discharge port and the coal powder particle flow inside the furnace from multiple angles, convert them into digital signals, and generate coal powder CT images at multiple angles.

[0006] Preferably, the CT image preprocessing module includes: An image denoising unit is used to remove noise from the acquired CT image by using an adaptive median filtering algorithm to remove noise interference and retain the edge and detail information of the image; An image enhancement unit, which is used to expand the grayscale range of the image and improve the contrast of the image through a grayscale stretching algorithm; The feature extraction unit is used to extract the edge contour features of the coal powder particles through the Canny edge detection algorithm.

[0007] Preferably, the particle feature analysis module is specifically used for: According to a preset particle size threshold, the area or diameter enclosed by the edge contour features of the coal powder particles is calculated to identify particles whose size exceeds the threshold; The gray distribution characteristics of the particles are further analyzed, and a pulverized coal combustion analysis model is established, and the combustion degree of the particles is analyzed by the pulverized coal combustion analysis model.

[0008] Preferably, the converting of the two-dimensional CT image sequence into three-dimensional image data by a ray casting algorithm comprises: The pre-processed CT images at different angles within the same time are sliced ​​and stored in sequence; Determine the parameters of the ray casting; For each pixel point in the CT image sequence, traverse from the starting point along the set light direction. During the traversal process, obtain the pixel grayscale value at the position according to the CT image coordinates corresponding to the current position of the light; According to the obtained grayscale value, the color value and opacity value of the light at that point are calculated through the preset color mapping table and opacity mapping table. The color mapping table maps the grayscale value range to the corresponding color space, and the opacity mapping table determines the opacity corresponding to different grayscale values; Repeat the operation for all pixels in the CT image sequence to obtain complete three-dimensional image data.

[0009] Preferably, the analysis result of obtaining the coal powder particle characteristic data and marking the coal powder particles exceeding the characteristic threshold in the three-dimensional graphic data includes: Obtaining analysis results of coal powder particle characteristic data, and obtaining coal powder particle data exceeding a characteristic threshold; During the traversal process, when the light passes through the coal powder particle area exceeding the characteristic threshold, the corresponding marking color or identification symbol is selected according to the current combustion state information of the coal powder particles for marking; In calculating the color and opacity values ​​of the light at that point, for the light sampling point located within the marked particle area, additional marking information is added to the specific channel of the color value or opacity value.

[0010] Preferably, the report output module is specifically used for: Integrate the particle characteristic data obtained by the particle characteristic analysis module with the three-dimensional image data generated by the three-dimensional reconstruction module; Based on the integrated content, a particle size distribution curve, a ratio chart of particles with different combustion degrees, a 3D image screenshot with particle markings, and a text description report are generated.

[0011] The present invention also provides a method for online measurement of boiler coal powder particles based on CT imaging, comprising: Obtain CT images of the boiler pulverized coal bunker discharge port and the interior of the furnace from multiple angles; Preprocessing the CT image, and extracting its features after the preprocessing to obtain the characteristic image of the coal powder particles; Analyzing the acquired characteristic images of the coal powder particles to confirm characteristic data of the coal powder particles, and further analyzing the characteristic data of the coal powder particles to confirm whether the characteristic threshold is exceeded; For the CT images at different angles within the same time after preprocessing, the two-dimensional CT image sequence is converted into three-dimensional image data through the ray projection algorithm, and the analysis results of the coal powder particle characteristic data are obtained, and the coal powder particles exceeding the characteristic threshold are marked in the three-dimensional graphic data; The three-dimensional image data and coal powder particle characteristic data are integrated and a measurement report is generated for output.

[0012] Compared with the prior art, the present invention has the following beneficial effects: By acquiring and analyzing multi-angle CT images of the pulverized coal bin discharge port and the furnace, detailed information of the pulverized coal particles entering the furnace can be detected and monitored online, including particle size, particle distribution, particle size uniformity, combustion status and other characteristics. By performing three-dimensional reconstruction of multi-angle CT images and marking the pulverized coal, it is more convenient for users to monitor the status of boiler pulverized coal particles. By integrating pulverized coal characteristic data and three-dimensional graphics and outputting reports, the particle size and distribution status of pulverized coal particles can be intuitively monitored, which can be used to analyze the combustion status of the boiler and further help control and improve the boiler combustion efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 A schematic diagram of the architecture of an online measurement device for boiler coal powder particles based on CT imaging provided in an embodiment of the present invention; Figure 2 A flowchart of converting a two-dimensional CT image sequence into three-dimensional image data in an embodiment of the present invention; Figure 3 A flowchart of three-dimensional graphic data labeling in an embodiment of the present invention; Figure 4 A flow chart of the steps of an online measurement method for boiler coal powder particles based on CT imaging provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0014] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0015] See also Figure 1 The present invention provides an online measurement device for boiler pulverized coal particles based on CT imaging, including a CT image acquisition module, a CT image preprocessing module, a particle feature analysis module, a three-dimensional reconstruction module and a report output module. During the device installation stage, the X-ray source and detector array of the CT image acquisition module are installed at appropriate positions of the pulverized coal bin discharge port and the boiler furnace to ensure that the area to be measured can be fully covered and is not interfered by the operation of the boiler. The data transmission lines between the CT image preprocessing module, the particle feature analysis module, the three-dimensional reconstruction module and the report output module are connected to ensure that the data can be transmitted stably and quickly.

[0016] Specifically, the CT image acquisition module is used to acquire CT images of the pulverized coal bin discharge port of the boiler and the interior of the furnace for the pulverized coal entering the furnace from multiple angles; The CT image preprocessing module is used to preprocess the CT image and extract its features after preprocessing to obtain the characteristic image of the coal powder particles; The particle characteristic analysis module is used to analyze the characteristic images of the acquired coal powder particles, confirm the characteristic data of the coal powder particles, and further analyze the characteristic data of the coal powder particles to confirm whether it exceeds the characteristic threshold; The 3D reconstruction module is used to convert the 2D CT image sequence of the pre-processed CT images at different angles within the same time into 3D image data through the ray projection algorithm, and obtain the analysis results of the coal powder particle characteristic data, and mark the coal powder particles exceeding the characteristic threshold in the 3D graphic data; The report output module integrates the three-dimensional image data and the coal powder particle characteristic data, and generates a measurement report for output.

[0017] In one embodiment, the CT image acquisition module includes a high-temperature resistant X-ray source and a detector array arranged in a specific measurement area, wherein the X-ray source is used to emit a high-intensity and high-frequency X-ray beam, and the detector array is composed of a plurality of high-sensitivity detector units, which are used to synchronously collect attenuation data of X-rays passing through the pulverized coal bin discharge port and the pulverized coal particle flow inside the furnace from multiple angles, convert the data into digital signals, and generate pulverized coal CT images at multiple angles.

[0018] For example, the X-ray source can dynamically adjust the emission intensity and frequency of X-rays according to the operating parameters of the boiler (such as load, air volume, etc.), increase the intensity at high load to penetrate denser coal powder flow to obtain clear images, and reduce the intensity at low load to reduce radiation dose. The layout of the detector array has been optimized to ensure that it can fully cover the coal powder bin discharge port and key areas of the furnace to obtain representative multi-angle image data.

[0019] In an optional embodiment, the CT image preprocessing module includes: Image denoising unit, which is used to remove noise from the acquired CT images. It uses an adaptive median filtering algorithm to automatically adjust the filter window size and parameters according to the noise characteristics of the local area of ​​the image, effectively removing noise interference caused by X-ray scattering, detector electronic noise, etc., while retaining the edge and detail information of the image; An image enhancement unit, which is used to expand the grayscale range of the image through a grayscale stretching algorithm, thereby improving the contrast of the image and making the difference between the coal powder particles and the background and between the particles in different combustion states more obvious; The feature extraction unit uses the Canny edge detection algorithm based on the grayscale gradient information of the image to accurately extract the edge contour of the coal powder particles, providing a basis for subsequent analysis and reconstruction.

[0020] In an optional embodiment, the particle feature analysis module is specifically used for: According to the preset particle size threshold, the area or diameter enclosed by the edge contour features of the pulverized coal particles is calculated, which is mainly used to identify particles whose size exceeds the threshold at the discharge port of the pulverized coal bin, so as to monitor the particle size and distribution of the pulverized coal particles; The grayscale distribution characteristics of the particles are further analyzed, and a coal powder combustion analysis model is established. The coal powder combustion analysis model is used to analyze the combustion degree of the particles, which is mainly used to analyze the coal powder combustion state in the boiler furnace. For example, the center grayscale value of fully burned particles is higher and evenly distributed, while the grayscale value of unburned or incompletely burned particles is lower and there is a grayscale gradient change. Through quantitative analysis of these characteristics, the combustion state of the particles is determined, and the number and proportion of particles in different combustion states and size ranges are counted to fully understand the characteristics of the particles in the furnace.

[0021] In an alternative embodiment, if Figure 2 As shown, the three-dimensional reconstruction module converts its two-dimensional CT image sequence into three-dimensional image data through a ray casting algorithm, specifically including: Step 110, slicing and storing the pre-processed CT images at different angles within the same time in sequence, where each slice can represent two-dimensional image information at different depths in the furnace; Step 120, determining the parameters of the ray projection, including the starting point, direction, step length, and image resolution of the ray; The starting point is usually set at one side of the image sequence (such as the front end of the observer's perspective), the light direction is perpendicular to the image plane, the step size is adjusted according to the required accuracy and computing resources, and the image resolution matches the resolution of the original CT image or is appropriately scaled according to display requirements; Step 130, for each pixel point in the CT image sequence, traverse from the starting point along the set light direction. During the traversal process, obtain the pixel grayscale value of the position according to the CT image coordinates corresponding to the current position of the light; for example, assuming that the two-dimensional image coordinates corresponding to the light at a certain depth position are , then obtain the Gray value of the position , this gray value will be used as the attenuation coefficient of the light at that position to calculate the intensity change of the light when it passes through this point; Step 140, based on the gray value obtained , calculate the color value and opacity value of the light at that point through the preset color mapping table and opacity mapping table; Specifically, let the color mapping function be , the opacity mapping function is , then the color of the light at this point is calculated as , and opacity is Among them, the color mapping table maps the grayscale value range to the corresponding color space. For example, a lower grayscale value may be mapped to blue (indicating low-density or unburned coal powder particle areas), and a higher grayscale value may be mapped to red (indicating high-density or fully burned areas). The opacity mapping table determines the opacity corresponding to different grayscale values. Generally speaking, the higher the grayscale value, the greater the opacity, indicating that the area has a stronger blocking effect on light. Step 150, as the light continues to move along its path, the color value and opacity value calculated at each sampling point are synthesized and accumulated according to the light synthesis model; Among them, the light synthesis model adopts the alpha blending model, and its calculation formula is as follows: In the formula, It is the synthesized color. is the color synthesized in the previous step. In this way, after the light passes through the entire image sequence, the final It is the color value of the pixel corresponding to the light in the three-dimensional image; Step 160 , repeat the operations of steps 130 , 140 and 150 for all pixels in the CT image sequence to obtain complete three-dimensional image data.

[0022] In an alternative embodiment, if Figure 3 As shown, when the three-dimensional reconstruction module obtains the analysis results of the coal powder particle characteristic data and marks the coal powder particles exceeding the characteristic threshold in the three-dimensional graphic data, it specifically includes: Step 210, obtaining the analysis results of the coal powder particle characteristic data, and obtaining the coal powder particle data exceeding the characteristic threshold, Step 220, during the traversal process, when the light passes through the coal powder particle area exceeding the characteristic threshold, select a corresponding marking color or identification symbol according to the current combustion state information of the coal powder particle for marking. For example, if a coal powder particle is determined to be a large particle and is not completely burned, its marking color is set to yellow according to a preset rule; Step 230, in calculating the color and opacity value of the light at that point, for the light sampling point located in the marked particle area, additional marking information is added to a specific channel of the color value or opacity value. For example, the alpha channel of the color value can be used to store the marking information, and the alpha value corresponding to the marked particle is set to a specific non-zero value (such as 0.5), while the alpha value of the ordinary area is 0, indicating that it is unmarked. In this way, in the subsequent image display process, the marked particles can be identified according to the value of the alpha channel and displayed specially in a predetermined manner.

[0023] Optionally, the 3D reconstruction module is also used to optimize the 3D image, such as performing surface smoothing, adding lighting effects, etc., to improve the visualization and realism of the 3D image, so that operators can more clearly observe the spatial distribution and state changes of the coal powder particles in the furnace.

[0024] In an optional embodiment, the report output module is specifically used for: Integrate the particle characteristic data obtained by the particle characteristic analysis module with the three-dimensional image data generated by the three-dimensional reconstruction module; Based on the integrated content, the data is generated into a detailed measurement report, which includes the particle size distribution curve of the coal powder particles, the proportion chart of particles with different combustion degrees, a three-dimensional image screenshot with particle markings, and related text descriptions.

[0025] The measurement report can be stored in the local database in the form of an electronic document, or it can be transmitted via the network to a remote monitoring center or the terminal device of relevant equipment maintenance personnel, so that it can be viewed and analyzed at any time.

[0026] In this embodiment, by acquiring and analyzing CT images, detailed information of the pulverized coal particles in the furnace can be acquired online in real time during boiler operation, including characteristics such as particle size, particle distribution, and combustion status. By performing three-dimensional reconstruction of multi-angle CT images and marking the pulverized coal, it is more convenient for users to monitor the status of the pulverized coal particles in the boiler. By integrating pulverized coal characteristic data and three-dimensional graphics and outputting reports, the particle size and distribution status of pulverized coal particles can be intuitively monitored, which can be used to analyze the combustion status of the boiler and further facilitate the control and improvement of the boiler combustion efficiency.

[0027] Based on the above embodiments, Figure 4 As shown, the present invention also provides a method for online measurement of boiler coal powder particles based on CT imaging, which is applied to the online measurement device for boiler coal powder particles based on CT imaging in the above embodiment, and the method includes: Step 310: Acquire CT images of the discharge port of the pulverized coal bin of the boiler and the interior of the furnace at multiple angles.

[0028] Specifically, step 310 includes: The detector synchronously collects the attenuation data of X-rays passing through the pulverized coal bin discharge port and the pulverized coal particle flow inside the boiler furnace from multiple angles, and converts it into digital signals to generate pulverized coal CT images from multiple angles.

[0029] Step 320 , preprocessing the CT image, and extracting features from the preprocessed CT image to obtain a feature image of the coal powder particles.

[0030] Specifically, step 320 includes: De-noise the acquired CT images by using an adaptive median filter algorithm to remove noise interference and retain the edge and detail information of the image; Through the grayscale stretching algorithm, the grayscale range of the image is expanded to improve the contrast of the image; The edge contour features of coal powder particles are extracted using the Canny edge detection algorithm.

[0031] Step 330 , analyzing the acquired characteristic image of the coal powder particles to confirm the characteristic data of the coal powder particles, and further analyzing the characteristic data of the coal powder particles to confirm whether it exceeds the characteristic threshold.

[0032] Specifically, step 330 includes: According to a preset particle size threshold, the area or diameter enclosed by the edge contour features of the coal powder particles is calculated to identify particles whose size exceeds the threshold; The grayscale distribution characteristics of the particles are further analyzed, and a coal powder combustion analysis model is established, through which the combustion degree of the particles is analyzed.

[0033] Step 340, for the pre-processed CT images at different angles within the same time, the two-dimensional CT image sequence is converted into three-dimensional image data through a ray projection algorithm, and the analysis results of the coal powder particle characteristic data are obtained, and the coal powder particles exceeding the characteristic threshold are marked in the three-dimensional graphic data.

[0034] Specifically, step 340 includes: The pre-processed CT images at different angles within the same time are sliced ​​and stored in sequence; Determine the parameters of the ray casting; For each pixel point in the CT image sequence, traverse from the starting point along the set light direction. During the traversal process, obtain the pixel grayscale value at the position according to the CT image coordinates corresponding to the current position of the light; According to the obtained grayscale value, the color value and opacity value of the light at that point are calculated through the preset color mapping table and opacity mapping table. The color mapping table maps the grayscale value range to the corresponding color space, and the opacity mapping table determines the opacity corresponding to different grayscale values; Repeat the operation for all pixels in the CT image sequence to obtain complete three-dimensional image data; Step 340 also includes: Obtaining analysis results of coal powder particle characteristic data, and obtaining coal powder particle data exceeding a characteristic threshold; During the traversal process, when the light passes through the coal powder particle area exceeding the characteristic threshold, the corresponding marking color or identification symbol is selected according to the current combustion state information of the coal powder particles for marking; In calculating the color and opacity values ​​of the light at that point, for the light sampling point located within the marked particle area, additional marking information is added to the specific channel of the color value or opacity value.

[0035] Step 350: The three-dimensional image data and the coal powder particle characteristic data are integrated and a measurement report is generated for output.

[0036] Specifically, step 350 includes: Integrate the particle characteristic data obtained by the particle characteristic analysis module with the three-dimensional image data generated by the three-dimensional reconstruction module; Based on the integrated content, a particle size distribution curve, a ratio chart of particles with different combustion degrees, a 3D image screenshot with particle markings, and a text description report are generated.

[0037] In this embodiment, by acquiring and analyzing CT images, detailed information of the pulverized coal particles in the furnace can be acquired online in real time during boiler operation, including characteristics such as particle size, particle distribution, and combustion status. By performing three-dimensional reconstruction of multi-angle CT images and marking the pulverized coal, it is more convenient for users to monitor the status of the pulverized coal particles in the boiler. By integrating pulverized coal characteristic data and three-dimensional graphics and outputting reports, the particle size and distribution status of pulverized coal particles can be intuitively monitored, which can be used to analyze the combustion status of the boiler and further facilitate the control and improvement of the boiler combustion efficiency.

[0038] It should be noted that the above examples are only specific embodiments of the present invention, and the present invention is obviously not limited to the above examples, and there are many similar variations. All variations directly derived or associated from the contents disclosed by the technicians in this field should fall within the protection scope of the present invention.

[0039] The above are only preferred embodiments of the present invention and are not intended to limit the protection scope of the present invention. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A boiler coal powder particle online measurement device based on CT imaging, characterized in that: include: A CT image acquisition module is used to acquire CT images of the pulverized coal bin discharge port and the furnace interior of the boiler at multiple angles for the pulverized coal entering the furnace; A CT image preprocessing module is used to preprocess the CT image and extract its features after preprocessing to obtain a feature image of coal powder particles; a particle characteristic analysis module, which is used to analyze the acquired characteristic images of the coal powder particles, confirm characteristic data of the coal powder particles, and further analyze the characteristic data of the coal powder particles to confirm whether the characteristic threshold is exceeded; The three-dimensional reconstruction module is used to convert the two-dimensional CT image sequence of the pre-processed CT images at different angles within the same time into three-dimensional image data through the ray projection algorithm, and obtain the analysis results of the coal powder particle characteristic data, and mark the coal powder particles exceeding the characteristic threshold in the three-dimensional graphic data; The report output module integrates the three-dimensional image data and the coal powder particle characteristic data, and generates a measurement report for output.

2. The on-line measurement device for boiler coal powder particles based on CT imaging according to claim 1 is characterized in that: The CT image acquisition module includes a high-temperature resistant X-ray source and a detector array arranged in a specific measurement area. The X-ray source is used to emit high-intensity and high-frequency X-ray beams. The detector array is composed of multiple high-sensitivity detector units, which are used to synchronously collect attenuation data of X-rays after passing through the coal powder bin discharge port and the coal powder particle flow inside the furnace from multiple angles, convert them into digital signals, and generate coal powder CT images at multiple angles.

3. The on-line measurement device for boiler coal powder particles based on CT imaging according to claim 1 is characterized in that: The CT image preprocessing module comprises: An image denoising unit is used to remove noise from the acquired CT image by using an adaptive median filtering algorithm to remove noise interference and retain the edge and detail information of the image; An image enhancement unit, which is used to expand the grayscale range of the image and improve the contrast of the image through a grayscale stretching algorithm; The feature extraction unit is used to extract the edge contour features of the coal powder particles through the Canny edge detection algorithm.

4. The on-line measurement device for boiler coal powder particles based on CT imaging according to claim 1 is characterized in that: The particle feature analysis module is specifically used for: According to a preset particle size threshold, the area or diameter enclosed by the edge contour features of the coal powder particles is calculated to identify particles whose size exceeds the threshold; The gray distribution characteristics of the particles are further analyzed, and a pulverized coal combustion analysis model is established, and the combustion degree of the particles is analyzed by the pulverized coal combustion analysis model.

5. The on-line measurement device for boiler coal powder particles based on CT imaging according to claim 1 is characterized in that: The two-dimensional CT image sequence is converted into three-dimensional image data by a ray casting algorithm, including: The pre-processed CT images at different angles within the same time are sliced ​​and stored in sequence; Determine the parameters of the ray casting; For each pixel point in the CT image sequence, traverse from the starting point along the set light direction. During the traversal process, obtain the pixel grayscale value at the position according to the CT image coordinates corresponding to the current position of the light; According to the obtained grayscale value, the color value and opacity value of the light at that point are calculated through the preset color mapping table and opacity mapping table. The color mapping table maps the grayscale value range to the corresponding color space, and the opacity mapping table determines the opacity corresponding to different grayscale values; Repeat the operation for all pixels in the CT image sequence to obtain complete three-dimensional image data.

6. The on-line measurement device for boiler coal powder particles based on CT imaging according to claim 5 is characterized in that: The step of obtaining the analysis result of the coal powder particle characteristic data and marking the coal powder particles exceeding the characteristic threshold in the three-dimensional graphic data includes: Obtaining analysis results of coal powder particle characteristic data, and obtaining coal powder particle data exceeding a characteristic threshold; During the traversal process, when the light passes through the coal powder particle area exceeding the characteristic threshold, the corresponding marking color or identification symbol is selected according to the current combustion state information of the coal powder particles for marking; In calculating the color and opacity values ​​of the light at that point, for the light sampling point located within the marked particle area, additional marking information is added to the specific channel of the color value or opacity value.

7. The on-line measurement device for boiler coal powder particles based on CT imaging according to claim 1 is characterized in that: The report output module is specifically used for: Integrate the particle characteristic data obtained by the particle characteristic analysis module with the three-dimensional image data generated by the three-dimensional reconstruction module; Based on the integrated content, a particle size distribution curve, a ratio chart of particles with different combustion degrees, a 3D image screenshot with particle markings, and a text description report are generated.

8. A method for online measurement of boiler coal powder particles based on CT imaging, characterized in that: include: Obtain CT images of the boiler pulverized coal bunker discharge port and the interior of the furnace from multiple angles; Preprocessing the CT image, and extracting its features after the preprocessing to obtain the characteristic image of the coal powder particles; Analyzing the acquired characteristic images of the coal powder particles to confirm characteristic data of the coal powder particles, and further analyzing the characteristic data of the coal powder particles to confirm whether the characteristic threshold is exceeded; For the CT images at different angles within the same time after preprocessing, the two-dimensional CT image sequence is converted into three-dimensional image data through the ray projection algorithm, and the analysis results of the coal powder particle characteristic data are obtained, and the coal powder particles exceeding the characteristic threshold are marked in the three-dimensional graphic data; The three-dimensional image data and coal powder particle characteristic data are integrated and a measurement report is generated for output.

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