A coke discharging dust removal air duct maintenance method

Abstract

The application provides a coke discharging dust removal air duct maintenance method and relates to the technical field of coking operation, which comprises the following steps: S1: collecting the images of the dust removal pipeline and the box body for abnormal texture detection, performing segmented nondestructive testing on the dust removal pipeline and the box body by using a thermal anemograph, a metal thickness gauge and a pressure transmitter, finding out defects according to the air volume loss and the differential pressure changes of each part, and performing accurate positioning of the defects; and S2: according to the nondestructive testing result, repairing the defect positions of the weak pipeline wall thickness and performing surface corrosion prevention treatment; the coke oven coke discharging dust removal system air duct leakage points and weak positions are repaired and the technical transformation of the sealing position of the flap valve is performed, so that the suction force and the air volume of the air duct system are greatly improved, the original design working condition is restored, the smoke and dust generated during coke discharging are effectively captured, the economic benefit, the environmental protection benefit and the social benefit are multiple wins, and a new situation of safe production and environmental protection work is effectively created.

Description

Technical Field

[0001] This invention relates to the field of coking operation technology, and in particular to a method for maintaining a coke outlet dust removal duct. Background Technology

[0002] A coke oven is a furnace typically constructed of refractory bricks and blocks, used to convert coal into coke. It is the main thermal equipment for coking. A modern coke oven is a horizontal coke oven primarily used for producing metallurgical coke and capable of recovering coking chemical products. It consists of a furnace body and auxiliary equipment. The coke oven body comprises a furnace top, combustion chamber and carbonization chamber, inclined section, regenerator, etc., and is connected by flues and chimneys.

[0003] During the operation of a coke oven, a ground-based dust removal station for coal charging and coke discharging is required to control the smoke and dust generated during coal charging and coke discharging. The main structure of the coke discharging dust removal duct is a trapezoidal pipe connection. After long-term continuous operation, the duct body is prone to varying degrees of corrosion, and the flue flaps on the coke side are not airtight, resulting in a high air leakage rate. This causes the actual air volume of the coke discharging system duct to be much smaller than the system's design air volume during production, resulting in severe loss of dust removal suction. Consequently, the smoke and dust generated during coke discharging cannot be effectively captured. Therefore, this invention proposes a coke discharging dust removal duct maintenance method to solve the problems existing in the prior art. Summary of the Invention

[0004] To address the aforementioned problems, this invention proposes a maintenance method for the coke oven dust removal duct. This method involves repairing leaks and weak points in the coke oven dust removal system duct and modifying the sealing position of the flap valve, thereby significantly improving the suction and air volume within the duct system and restoring it to its original design conditions.

[0005] To achieve the objectives of this invention, the invention is implemented through the following technical solution: a method for maintaining a coke outlet dust removal duct, comprising the following steps:

[0006] S1: Collect images of dust removal ducts and housings for abnormal texture detection. Use thermal anemometers, metal thickness gauges and pressure transmitters to perform segmented non-destructive testing on dust removal ducts and housings. Based on air volume loss and pressure difference changes in various parts, identify defects and accurately locate them.

[0007] S2: Based on the non-destructive testing results, repair and surface anti-corrosion treatment are carried out on the defective parts with thin pipe walls;

[0008] S3: Replace the internal seal of the flap valve. First, remove the original damaged sealing rings of all the coke discharge dust removal flaps. Then, apply high-temperature adhesive to asbestos cloth to make a sealing gasket. Finally, fix the pressure plate to the valve port joint surface with bolts to achieve a sealing effect.

[0009] A further improvement is made in S1, where abnormal texture detection specifically includes the following steps:

[0010] S111: Collect images of dust removal pipes and housings for screening, first removing duplicates, and then discarding low-quality image data;

[0011] S112: Extract the color features of the dust removal pipe and box images, then extract the texture features of the images, then determine the texture density of the images, and finally determine the feature values ​​of each image.

[0012] S113: Using the normal texture feature value of the dust removal pipe and box image as the comparison threshold, compare it with the feature value of each image to determine the abnormal texture target;

[0013] S114: Compare the abnormal texture target with the abnormal texture sample to determine the abnormal type to which the abnormal texture belongs.

[0014] A further improvement is made in S1, where the segmented nondestructive testing includes the following steps:

[0015] S121: Construct a relevant spatial model using the collected images of dust removal pipes and boxes;

[0016] S122: First, use a thermal anemometer and pressure transmitter to detect the dust removal pipeline and housing, and obtain the internal wind speed change data and pressure distribution values ​​based on the spatial model;

[0017] S123: Using the green building CARD software, based on the two-dimensional and three-dimensional integrated technology, the wind speed vector analysis map and wind speed field analysis cloud map are constructed using the measured wind speed change data and presented in three dimensions. The surface pressure analysis map is analyzed in the spatial model, and the wind pressure cloud map is dissected. Different colors are used to mark the wind pressure and pressure difference changes in different areas of the three-dimensional space.

[0018] S124: Determine air volume loss and identify defects based on changes in wind pressure and pressure difference in different areas;

[0019] S125: Next, the metal thickness of the dust removal pipe and the inside of the box is measured using a metal thickness gauge to determine the areas with weak thickness, and the corresponding data is then input into the spatial model.

[0020] A further improvement lies in the following steps in S1: Accurate defect location is performed.

[0021] S131: Determine the specific numerical range of Path and Row based on the spatial model area range, and then perform preliminary screening on these specific numerical ranges to ensure that each Path and Row contains one scene image.

[0022] S132: First, input the image to which the abnormal texture belongs into the spatial model to determine the Path and Row coordinates of the abnormal texture;

[0023] S133: Import the color-coded defects to which the airflow loss belongs into the spatial model to determine the Path and Row coordinates of the defects;

[0024] S134: Import the comprehensive metal thickness data into the spatial model to determine the Path and Row coordinate range of the thin areas.

[0025] A further improvement is made in S2, which specifically includes the following steps:

[0026] S21: First, grind the surface of the defective part with thin wall thickness. Then, prepare the repair material by mixing barium aluminate cement, cordierite, aggregate and water. Apply the repair material in an alternating manner with heat-resistant adhesive to thicken the wall.

[0027] S22: Then repair the leak and perform full welding.

[0028] S23: Finally, apply paint for corrosion protection and let it dry and solidify.

[0029] A further improvement is made in S2, where, when the dust removal station is selected for maintenance, a comprehensive leak detection and repair is carried out on the dust removal pipes and housing.

[0030] A further improvement is made in S3, where the original damaged sealing ring of the flap valve is located on the flap side. When replacing it, the original seal is removed and the seal on the flap side is discarded.

[0031] The beneficial effects of this invention are as follows:

[0032] 1. This invention significantly improves the suction and air volume of the air duct system by repairing leaks and weak points in the coke oven dust removal system and by technically modifying the sealing position of the flap valve. This restores the original design conditions and effectively captures the smoke and dust generated during coke discharge, achieving a win-win situation in terms of economic, environmental and social benefits, and effectively creating a new situation in safe production and environmental protection.

[0033] 2. In defect location, this invention identifies textured areas such as cracks by identifying abnormal textures, finds defects such as leaks by measuring airflow loss and pressure difference changes in various parts, determines areas with weak thickness by measuring metal thickness, and establishes an air duct model and layout coordinates for specific location, making defect investigation and maintenance more comprehensive. Attached Figure Description

[0034] Figure 1 This is a flowchart of the present invention. Detailed Implementation

[0035] To enhance understanding of the present invention, the present invention will be further described in detail below with reference to embodiments. These embodiments are only used to explain the present invention and do not constitute a limitation on the scope of protection of the present invention. Example 1

[0036] according to Figure 1 As shown in the figure, this embodiment proposes a maintenance method for coke outlet dust removal air duct, including the following steps:

[0037] S1: Collect images of dust removal ducts and housings for abnormal texture detection. Use thermal anemometers, metal thickness gauges and pressure transmitters to perform segmented non-destructive testing on dust removal ducts and housings. Based on air volume loss and pressure difference changes in various parts, identify defects and accurately locate them.

[0038] S2: Based on the non-destructive testing results, repair and surface anti-corrosion treatment are carried out on the defective parts with thin pipe walls;

[0039] S3: Replace the internal seal of the flap valve. First, remove the original damaged sealing rings of all the coke discharge dust removal flaps. Then, apply high-temperature adhesive to asbestos cloth to make a sealing gasket. Finally, fix the pressure plate to the valve port joint surface with bolts to achieve a sealing effect. Example 2

[0040] according to Figure 1 As shown in the figure, this embodiment proposes a maintenance method for coke outlet dust removal air duct, including the following steps:

[0041] Images of dust collection ducts and housings are collected for abnormal texture detection. A segmented non-destructive testing of the dust collection ducts and housings is performed using a thermal anemometer, metal thickness gauge, and pressure transmitter. Defects are identified and accurately located based on airflow loss and pressure difference changes at various locations.

[0042] Specifically, the process involves: collecting and screening images of dust collection pipes and housings, first removing duplicates and then discarding low-quality image data; extracting color features from the images of dust collection pipes and housings, then extracting texture features, determining the texture density of the images, and finally determining the feature value of each image; using the normal texture feature value of the dust collection pipes and housing images as a comparison threshold, comparing it with the feature value of each image to identify abnormal texture targets; and comparing the abnormal texture targets with samples of abnormal textures to determine the anomaly type to which the abnormal texture belongs. The color and texture feature extraction process specifically involves: using the HOG feature extraction algorithm to convert an image (the target or image to be detected) to grayscale (treating the image as a three-dimensional image with x, y, z (grayscale) coordinates); applying Gamma correction to standardize the color space of the input image; the purpose of this is to adjust the image contrast, reduce the impact of local shadows and lighting changes, and suppress noise interference; calculating the gradient (including magnitude and direction) of each pixel in the image; primarily to capture contour information and further weaken lighting interference; dividing the image into small cells (e.g., 6*6 pixels / cell); calculating the gradient histogram (number of different gradients) of each cell to form the descriptor of each cell; grouping several cells into a block (e.g., 3*3 cells / block); concatenating the feature descriptors of all cells within a block yields the HOG feature descriptor of that block; and concatenating the HOG feature descriptors of all blocks within the image yields the image's HOG feature descriptor. The HOG feature descriptor (of the target to be detected) is the final feature vector usable for classification, thus obtaining color pixel features. Then, ENVI software's filtering function is used to perform directional filtering along the overall direction to extract image texture. The filtered texture results are then placed in ArcGIS for density analysis to determine the image's texture fineness. Next, the second derivative of the spectrum is calculated, and a second derivative calculation algorithm is written in ENVI IDL to determine the texture feature value of each image. Anomaly texture identification identifies texture regions such as cracks.

[0043] A spatial model was constructed using collected images of the dust collection ducts and housing. Specifically, ContextCapture was used to visualize the image data in 3D, and symbolization was used to enhance the visual effect. SVG was used to vectorize the corresponding dimensional values ​​in the model, completing the construction of the visualized spatial model. First, a thermal anemometer and pressure transmitter were used to inspect the dust collection ducts and housing, obtaining internal wind speed variation data and pressure distribution values ​​based on the spatial model. Using Green Building CARD software, based on 2D / 3D integrated technology, wind speed vector analysis maps and wind speed field analysis cloud maps were constructed using the measured wind speed variation data and presented in 3D. Surface pressure analysis maps were analyzed in the spatial model, and wind pressure cloud maps were dissected, with different colors used to mark wind pressure and pressure difference changes in different areas of the 3D space. Based on the wind pressure and pressure difference changes in different areas, airflow loss was determined, and defects were identified. Next, a metal thickness gauge was used to measure the metal thickness inside the dust collection ducts and housing to identify areas with weak thickness, and the corresponding data was input into the spatial model. By analyzing airflow loss and pressure difference changes in various parts, defects such as leaks were identified, and areas with weak thickness were determined through metal thickness measurement.

[0044] Based on the spatial model's regional range, the specific numerical ranges of Path and Row are determined. These specific numerical ranges are then preliminarily screened to ensure that each Path and Row contains one image. The images to which the identified anomalous textures belong are first imported into the spatial model to determine the Path and Row coordinates of the anomalous textures. The color-coded defects to which the airflow loss belongs are imported into the spatial model to determine the Path and Row coordinates of the defects. The metal thickness values ​​from comprehensive detection are imported into the spatial model to determine the Path and Row coordinate ranges of the thinnest areas.

[0045] Based on the non-destructive testing results, the thinner sections of the pipe wall were repaired and surface anti-corrosion treatment was carried out.

[0046] Specifically, the process involves: first, grinding the surface of the thinner defective areas; then, preparing a repair material using a mixture of barium aluminate cement, cordierite, aggregate, and water, and applying it alternately with a heat-resistant adhesive to thicken the surface; next, repairing the leaks and performing full welding; finally, painting for corrosion protection and allowing it to dry and solidify. When overhauling a dust collection station, a comprehensive leak detection and maintenance procedure is performed on the dust collection pipes and housing.

[0047] Replace the internal seals of the flap valve. First, remove any damaged original sealing rings from all the coke discharge dust removal flaps. Then, apply high-temperature adhesive to asbestos cloth to create a sealing gasket. Secure the gasket to the valve port mating surface with bolts and tighten the pressure plate to achieve a sealing effect. The original damaged sealing rings of the flap valve were located on the flap side. When replacing them, remove the original seals and discard the seals on the flap side.

[0048] Verification example:

[0049]

[0050] This coke oven dust removal duct maintenance method significantly improves the suction and airflow within the duct system by repairing leaks and weak points in the ductwork and modifying the sealing position of the flap valves. At the same measuring point, the airflow increases by approximately 205,092 m³ / h, and the maximum airflow of the dust removal main pipe reaches approximately 315,576 m³ / h, essentially restoring the original design conditions (320,000 m³ / h). The smoke and dust generated during coke discharge are effectively captured, achieving a win-win situation in economic, environmental, and social benefits, and effectively creating a new landscape for safe production and environmental protection. Furthermore, in defect location, this invention identifies textured areas such as cracks through abnormal texture recognition, locates defects such as leaks through airflow loss and pressure difference changes at various locations, determines thin-thickness areas through metal thickness measurement, and establishes a duct model with coordinate layout for specific location, making defect detection and maintenance more comprehensive.

[0051] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the present invention as claimed. The scope of protection of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for maintaining a coke outlet dust removal duct, characterized in that, Includes the following steps: S1: Collect images of dust removal ducts and housings for abnormal texture detection. Use thermal anemometers, metal thickness gauges and pressure transmitters to perform segmented non-destructive testing on dust removal ducts and housings. Based on air volume loss and pressure difference changes in various parts, identify defects and accurately locate them. The abnormal texture detection process includes the following steps: First, images of dust removal pipes and housings are collected and filtered, first removing duplicates and then discarding low-quality image data; then, color features are extracted from the dust removal pipe and housing images, followed by texture features, then the texture density is determined, and finally, the feature value of each image is determined; using the normal texture feature value of the dust removal pipe and housing images as a comparison threshold, the image is compared with the feature value of each image to identify abnormal texture targets; finally, the abnormal texture targets are compared with samples of abnormal textures to determine the type of abnormality to which the abnormal texture belongs. Segmented non-destructive testing includes the following steps: First, a relevant spatial model is constructed using acquired images of the dust collection duct and housing. Then, a thermal anemometer and pressure transmitter are used to inspect the dust collection duct and housing, obtaining internal wind speed variation data and pressure distribution values ​​based on the spatial model. Next, using Green Building CARD software and based on integrated 2D and 3D technology, a wind speed vector analysis map and a wind speed field analysis cloud map are constructed from the measured wind speed variation data and presented in 3D. Surface pressure analysis maps are analyzed within the spatial model, and the wind pressure cloud map is dissected, with different colors used to mark wind pressure and differential pressure changes in different areas of the 3D space. Based on the wind pressure and differential pressure changes in different areas, airflow loss is determined, and defects are identified. Finally, a metal thickness gauge is used to measure the metal thickness inside the dust collection duct and housing to identify areas with weak thickness, and the corresponding data is input into the spatial model. Accurate defect localization includes the following steps: First, determine the specific numerical ranges of Path and Row based on the spatial model area, and then perform preliminary screening of these specific numerical ranges to ensure that each Path and Row contains one image; second, import the image to which the identified abnormal texture belongs into the spatial model to determine the Path and Row coordinates of the abnormal texture; third, import the color-coded defect to which the airflow loss belongs into the spatial model to determine the Path and Row coordinates of the defect; fourth, import the metal thickness values ​​obtained from comprehensive detection into the spatial model to determine the Path and Row coordinate ranges of the thinnest areas. S2: Based on the non-destructive testing results, repair and surface anti-corrosion treatment are carried out on the defective parts with thin pipe walls; S3: Replace the internal seal of the flap valve. First, remove the original damaged sealing rings of all the coke discharge dust removal flaps. Then, apply high-temperature adhesive to asbestos cloth to make a sealing gasket. Finally, fix the pressure plate to the valve port joint surface with bolts to achieve a sealing effect.

2. The method for maintaining a coke outlet dust removal duct according to claim 1, characterized in that: S2 specifically includes the following steps: S21: First, grind the surface of the defective part with thin wall thickness. Then, prepare the repair material by mixing barium aluminate cement, cordierite, aggregate and water. Apply the repair material in an alternating manner with heat-resistant adhesive to thicken the wall. S22: Then repair the leak and perform full welding. S23: Finally, apply paint for corrosion protection and let it dry and solidify.

3. The method for maintaining a coke outlet dust removal duct according to claim 2, characterized in that: In S2, when selecting the dust removal station for maintenance, a comprehensive leak detection and maintenance is carried out on the dust removal pipeline and housing.

4. The method for maintaining a coke outlet dust removal duct according to claim 1, characterized in that: In S3, the original damaged sealing ring of the flap valve is located on the flap side. When replacing it, the original seal is removed and the seal on the flap side is discarded.

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