Plastic coated pipeline surface quality detection device

Abstract

The invention discloses a plastic-coated pipeline surface quality detection device, which belongs to the technical field of pipeline processing, and comprises a shell, and a rolling shaft and a driven shaft are arranged on the shell. The adjusting assembly is used for driving the driven shaft to slide; the dust removal assembly is used for removing dust on the surface of the plastic-coated pipeline; the ventilation assembly is used for transferring dust after dust removal of the plastic-coated pipeline; the image data acquisition module is used for generating a dust evaluation value; the dust removal requirement judgment module is used for generating a dust removal instruction; the dust removal control module is used for controlling a dust removal assembly; the surface quality detection module is used for detecting the surface quality of the plastic-coated pipeline; the surface image of the plastic-coated pipeline is analyzed through the image analysis unit, and whether the surface of the plastic-coated pipeline needs to be dedusted through the dedusting assembly or not is judged, so that the surface of the plastic-coated pipeline is kept in a clean state in the surface quality detection process, and the accuracy of the surface quality detection result of the plastic-coated pipeline is improved.

Description

Technical Field

[0001] The invention belongs to the technical field of pipeline processing, and in particular relates to a surface quality detection device for plastic-coated pipelines. Background Art

[0002] Plastic-coated pipes have been widely used in municipal engineering, industrial transportation and other fields due to their excellent anti-corrosion properties and mechanical strength; however, the surface quality of plastic-coated pipes directly affects their service life and safety.

[0003] When testing the surface quality of plastic-coated pipes, it is generally necessary to wait until the coating of the plastic-coated pipes is completely cured before testing. Existing methods for testing the surface quality of plastic-coated pipes mainly include visual inspection, thickness inspection, passivation film inspection and destructive inspection.

[0004] However, during the surface quality inspection of plastic-coated pipes, the plastic-coated pipes may have some other attachments on their surface due to long storage time, which may affect the quality inspection of the plastic-coated pipe surface and cause the accuracy of the quality inspection results of the plastic-coated pipe surface to decrease. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides a device for detecting the surface quality of a plastic-coated pipe, which solves the above-mentioned problems.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a plastic-coated pipe surface quality detection device, comprising a housing, the housing is provided with a roller and a driven shaft for supporting and driving the plastic-coated pipe to rotate; the plastic-coated pipe surface quality detection device also includes: An adjusting component, the adjusting component is arranged on one side of the driven shaft and is used to drive the driven shaft to slide; A dust removal component, which is arranged on the housing and is used to remove dust from the surface of the plastic-coated pipe; A ventilation component, the ventilation component is arranged on the housing and is used to transfer the dust removed from the plastic-coated pipe by the dust removal component; An image data acquisition module, used to acquire an image of the surface of the plastic-coated pipe; An image analysis unit, used to obtain the defect ratio of the plastic-coated pipe, the image grayscale difference value, the lighting condition factor and the air particle size factor in the shell, and generate a dust evaluation value; A dust removal requirement judgment module is used to judge whether the plastic-coated pipe needs to be dusted according to the dust evaluation value, and generate a dust removal instruction; wherein the dust removal instruction includes a dust removal instruction that the plastic-coated pipe needs to be dusted and an instruction that the plastic-coated pipe does not need to be dusted; A dust removal control module, used to control the dust removal component to remove dust from the surface of the plastic-coated pipe according to a dust removal instruction for the plastic-coated pipe to remove dust; The surface quality detection module is used to detect the surface quality of plastic-coated pipes.

[0007] On the basis of the above technical solution, the present invention also provides the following optional technical solution: In a further technical solution, the regulating component specifically comprises: A cross bar, wherein the cross bar is fixedly arranged on one side of the driven shaft; A telescopic member is fixedly arranged in a slide groove provided on the housing, and an extended end of the telescopic member is interlaced and rotationally connected with the driven shaft.

[0008] According to a further technical solution, the dust removal assembly specifically comprises: A slider, the slider being slidably disposed on the housing; A transfer piece, the transfer piece is fixedly arranged on one side of the slider; A nozzle, the nozzle being rotatably disposed on the adapter; A screw rod is arranged on one side of the housing, two ends of the screw rod are rotatably connected to the housing and the screw rod is threadedly connected to the slider.

[0009] According to a further technical solution, the ventilation assembly specifically comprises: A vent, the vent being provided on the shell; A support member, the support member is arranged on one side of the vent, and the support member is fixedly connected to the shell; A fan is arranged on one side of the support member, and one end of the fan is fixedly connected to the support member.

[0010] In a further technical solution, the image analysis unit specifically comprises: An image conversion module, for converting the image of the plastic-coated pipe into a grayscale image; Grayscale image segmentation module, used to divide the grayscale image into several analysis areas and obtain the image grayscale value in each analysis area; The area classification module is used to compare the image grayscale value with the image grayscale value range of the standard plastic-coated pipe. If the image grayscale value is not within the image grayscale value range of the standard plastic-coated pipe, the area is marked as a defective area; the image grayscale value range of the standard plastic-coated pipe refers to the range formed by the image grayscale value of the standard plastic-coated pipe after the image is converted into a grayscale image and the measurement error value; A defect ratio generation module is used to obtain the number of defect areas, perform ratio processing on the number of defect areas and the total number of analysis areas, and generate a defect ratio; The image grayscale difference degree value generation module is used to perform difference processing on the image grayscale value and the image grayscale value of the standard plastic-coated pipe to generate the image grayscale difference value; perform ratio processing on the image grayscale difference value and the image grayscale value of the standard plastic-coated pipe to generate the image grayscale difference degree value; A light condition factor generation module is used to obtain the light intensity value on the surface of the plastic-coated pipe and generate a light condition factor; An air particle size factor generation module is used to obtain air particle data in the shell and generate an air particle size factor in the shell; wherein the air particle data includes air particle size and air particle quantity; The dust evaluation value generation module is used to establish a surface dust evaluation model, substitute the defect ratio, image grayscale difference value, lighting condition factor and air particle size factor in the shell into the surface dust evaluation model to generate a dust evaluation value.

[0011] In a further technical solution, the expression of the surface dust evaluation model is: ; In the expression, Ra represents the defect ratio, Le represents the image grayscale difference value, Su represents the lighting condition factor, and Du represents the air particle size factor in the shell; α and β are both weight coefficients, and α+β=1.

[0012] In a further technical solution, the illumination condition factor generation module specifically includes: The light intensity difference generation submodule is used to obtain the light intensity value of the plastic-coated pipe surface, perform difference processing on the light intensity value and the near end point of the standard light intensity range, and generate the light intensity difference value; The illumination condition factor generation submodule is used to perform ratio processing on the illumination intensity difference and the near end point of the standard illumination intensity range to generate the illumination condition factor.

[0013] In a further technical solution, the air particle size factor generation module specifically includes: An air particle data acquisition submodule, used to acquire air particle data in the housing; wherein the air particle data includes air particle size and air particle quantity; an air particle classification submodule, for comparing the size of air particles in the shell with the maximum value of the particle size of standard air; if the size of air particles in the shell is larger than the maximum value of the particle size of standard air, it means that the larger the size of air particles in the shell is, the worse the air quality in the shell is, and the particle is marked as a large air particle; A large air particle ratio generating submodule is used to obtain the number of large air particles in the shell, perform ratio processing on the number of large air particles in the shell and the total number of air particles in the shell to generate a large air particle ratio; The air particle size ratio generation submodule is used to perform mean processing on the air particle size to generate the average air particle size, and then perform ratio processing on the average air particle size and the maximum value of the standard air particle size to generate the air particle size ratio; a particle density ratio generating submodule, for performing a product process on the average size of air particles and the number of air particles to generate a total volume of air particles, and then performing a ratio process on the total volume of air particles and the total volume of air in the shell to generate a particle density ratio; The air particle comprehensive evaluation submodule is used to perform weighted summation on the proportion of large air particles, the air particle size ratio and the particle density ratio to generate the air particle size factor in the shell.

[0014] In a further technical solution, the dust removal demand judgment module specifically includes: A data comparison submodule, for comparing the dust assessment value with the dust assessment threshold; The dust removal requirement judgment submodule, if the dust assessment value is greater than or equal to the dust assessment threshold, means that the larger the dust assessment value, the greater the possibility of excessive dust accumulation on the surface of the plastic-coated pipe. The dust removal requirement judgment submodule is used to generate an instruction for dust removal of the plastic-coated pipe.

[0015] The present invention provides a device for detecting the surface quality of a plastic-coated pipe, which has the following beneficial effects compared with the prior art: The present invention can not only drive the roller to rotate by the driving motor, the roller drives the plastic-coated pipe to rotate, and the roller drives the driven shaft to rotate, thereby realizing all-round detection of the surface of the plastic-coated pipe; it can also analyze the surface image of the plastic-coated pipe by the image analysis unit to determine whether the surface of the plastic-coated pipe needs to be dusted by the dust removal component, so that the surface of the plastic-coated pipe can be kept clean during the surface quality detection process, thereby improving the accuracy of the surface quality detection results of the plastic-coated pipe. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 A schematic diagram of the three-dimensional structure of a plastic-coated pipe surface quality detection device provided in an embodiment of the present invention.

[0017] Figure 2 for Figure 1 Enlarged view of point A in the middle.

[0018] Figure 3 A cross-sectional schematic diagram of a plastic-coated pipe surface quality detection device provided in an embodiment of the present invention.

[0019] Figure 4 A module block diagram of an image analysis unit provided in an embodiment of the present invention.

[0020] Figure 5 A flowchart of a dust removal requirement determination module provided in an embodiment of the present invention.

[0021] Notes on figure numbers: 1. Shell; 2. Adjustment assembly; 3. Dust removal assembly; 4. Ventilation assembly; 5. Image sensor; 101. Roller; 102. Driven shaft; 201. Telescopic member; 202. Crossbar; 301. Slider; 302. Adapter; 303. Nozzle; 304. Screw; 401. Vent; 402. Support member; 403. Fan. DETAILED DESCRIPTION

[0022] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0023] The specific implementation of the present invention is described in detail below in conjunction with specific embodiments.

[0024] See also Figure 1 , a plastic coated pipe surface quality detection device provided by an embodiment of the present invention, comprising a housing 1, wherein the housing 1 is provided with a roller 101 and a driven shaft 102 for supporting and driving the plastic coated pipe to rotate; the plastic coated pipe surface quality detection device also includes: An adjusting component 2, wherein the adjusting component 2 is disposed on one side of the driven shaft 102 and is used to drive the driven shaft 102 to slide; A dust removal component 3, which is arranged on the housing 1 and is used to remove dust from the surface of the plastic-coated pipe; A ventilation component 4, the ventilation component 4 is arranged on the housing 1, and is used to transfer the dust removed from the plastic-coated pipe by the dust removal component 3; An image data acquisition module, used to acquire an image of the surface of the plastic-coated pipe; An image analysis unit, used to obtain the defect ratio of the plastic-coated pipe, the image grayscale difference value, the lighting condition factor and the air particle size factor in the housing 1, and generate a dust evaluation value; A dust removal requirement judgment module is used to judge whether the plastic-coated pipe needs to be dusted according to the dust evaluation value; wherein the dust removal instruction includes a dust removal instruction that the plastic-coated pipe needs to be dusted and an instruction that the plastic-coated pipe does not need to be dusted; A dust removal control module, used to control the dust removal component 3 to remove dust from the surface of the plastic-coated pipe according to the dust removal instruction for the plastic-coated pipe to be dusted; The surface quality detection module is used to detect the surface quality of plastic-coated pipes.

[0025] Specifically, when the plastic-coated pipe is placed on the roller 101 and the driven shaft 102, the roller 101 is driven to rotate by the driving motor, the roller 101 drives the plastic-coated pipe to rotate, and the roller 101 drives the driven shaft 102 to rotate, so that the surface of the plastic-coated pipe can be fully inspected; in addition, the surface image of the plastic-coated pipe is analyzed by the image analysis unit to determine whether the surface of the plastic-coated pipe needs to be dusted by the dust removal component 3, so that the surface of the plastic-coated pipe is kept clean during the surface quality inspection process, thereby improving the accuracy of the surface quality inspection result of the plastic-coated pipe; In this embodiment, the distance between the roller 101 and the driven shaft 102 is adjusted by adjusting the component 2 according to the diameter of the plastic-coated pipe.

[0026] As a preferred embodiment of the present invention, the adjustment component 2 specifically includes: A cross bar 202, wherein the cross bar 202 is fixedly disposed on one side of the driven shaft 102; A telescopic member 201, wherein the telescopic member 201 is fixedly disposed in a slide groove provided on the housing 1, and an extended end of the telescopic member 201 is interlaced and rotatably connected with the driven shaft 102; Specifically, by starting the telescopic member 201, the extended end of the telescopic member 201 drives the cross bar 202 to perform linear motion, and the cross bar 202 drives the driven shaft 102 to perform linear motion, thereby adjusting the distance between the driven shaft 102 and the roller 101, which can be suitable for plastic-coated pipes of more sizes.

[0027] See also Figure 1 and Figure 2 As a preferred embodiment of the present invention, the dust removal component 3 specifically includes: A slider 301, wherein the slider 301 is slidably disposed on the housing 1; An adapter 302, wherein the adapter 302 is fixedly disposed on one side of the slider 301; A nozzle 303, wherein the nozzle 303 is rotatably disposed on the adapter 302; A screw rod 304, wherein the screw rod 304 is disposed on one side of the housing 1, and both ends of the screw rod 304 are rotatably connected to the housing 1 and the screw rod 304 is threadedly connected to the slider 301; Specifically, the servo motor drives the screw rod 304 to rotate, the screw rod 304 drives the slider 301 to perform linear motion, the slider 301 drives the adapter 302 to perform linear motion, and the adapter 302 drives the nozzle 303 to perform linear motion, so that the position of the nozzle 303 can be adjusted; in addition, the nozzle 303 is a rotatable nozzle, and the output angle of the nozzle 303 can be adjusted, so that it can remove dust from plastic-coated pipes of various sizes.

[0028] See also Figure 1 and Figure 3 As a preferred embodiment of the present invention, the ventilation component 4 specifically includes: A vent 401, wherein the vent 401 is provided on the housing 1; A support member 402, wherein the support member 402 is disposed on one side of the vent 401, and the support member 402 is fixedly connected to the housing 1; A fan 403, wherein the fan 403 is disposed on one side of the support member 402, and one end of the fan 403 is fixedly connected to the support member 402; Specifically, by starting the fan 403 , the fan 403 drives the air in the housing 1 to flow, thereby taking away the dust floating in the housing 1 .

[0029] See also Figure 1 As a preferred embodiment of the present invention, the image data acquisition module specifically includes: An image sensor 5 is fixedly disposed on one side of the housing 1 and is used to acquire an image of the surface of the plastic-coated pipe placed in the housing 1 .

[0030] See also Figure 4 As a preferred embodiment of the present invention, the image analysis unit specifically includes: An image conversion module, for converting the image of the plastic-coated pipe into a grayscale image; Grayscale image segmentation module, used to divide the grayscale image into several analysis areas and obtain the image grayscale value in each analysis area; The area classification module is used to compare the image grayscale value with the image grayscale value range of the standard plastic-coated pipe; the image grayscale value range of the standard plastic-coated pipe refers to the range formed by the image grayscale value after the image of the standard plastic-coated pipe is converted into a grayscale image and the measurement error value; if the image grayscale value is not within the image grayscale value range of the standard plastic-coated pipe, the area is marked as a defective area; if the image grayscale value is within the image grayscale value range of the standard plastic-coated pipe, the area is marked as a normal area; A defect ratio generation module is used to obtain the number of defect areas, perform ratio processing on the number of defect areas and the total number of analysis areas, and generate a defect ratio; The image grayscale difference degree value generation module is used to perform difference processing on the image grayscale value and the image grayscale value of the standard plastic-coated pipe to generate the image grayscale difference value; perform ratio processing on the image grayscale difference value and the image grayscale value of the standard plastic-coated pipe to generate the image grayscale difference degree value; A light condition factor generation module is used to obtain the light intensity value on the surface of the plastic-coated pipe and generate a light condition factor; An air particle size factor generation module is used to obtain air particle data in the housing 1 and generate an air particle size factor in the housing 1; wherein the air particle data includes air particle size and air particle quantity; A dust evaluation value generation module is used to establish a surface dust evaluation model, substitute the defect ratio, the image grayscale difference value, the lighting condition factor and the air particle size factor in the housing 1 into the surface dust evaluation model, and generate a dust evaluation value P; Wherein, the expression of the surface dust evaluation model is:

[0031] In the expression, Ra represents the defect ratio, Le represents the image grayscale difference value, Su represents the lighting condition factor, and Du represents the air particle size factor in the shell 1; α and β are both weight coefficients, and α+β=1.

[0032] As a preferred embodiment of the present invention, the illumination condition factor generation module specifically includes: The light intensity difference generation submodule is used to obtain the light intensity value of the plastic-coated pipe surface, perform difference processing on the light intensity value and the near end point of the standard light intensity range, and generate the light intensity difference value; The illumination condition factor generation submodule is used to perform ratio processing on the illumination intensity difference and the near end point of the standard illumination intensity range to generate the illumination condition factor; For example, by formula , generate the illumination condition factor Su; In the formula, Ln represents the light intensity value, Ln0 represents the near end point of the standard light intensity range, and ΔLn represents the light intensity difference.

[0033] As a preferred embodiment of the present invention, the air particle size factor generation module specifically includes: An air particle data acquisition submodule is used to acquire air particle data in the housing 1; wherein the air particle data includes air particle size and air particle quantity; The air particle classification submodule is used to compare the size of the air particles in the housing 1 with the maximum value of the particle size of the standard air. If the size of the air particles in the housing 1 is larger than the maximum value of the particle size of the standard air, it means that the larger the size of the air particles in the housing 1, the worse the air quality in the housing 1, and the particle is marked as a large air particle; The size of the air particles in the housing 1 is smaller than or equal to the maximum value of the particle size of the standard air, indicating that the smaller the size of the air particles in the housing 1, the better the air quality in the housing 1, and the particles are marked as small air particles; The large air particle ratio generating submodule is used to obtain the number of large air particles in the shell 1, perform ratio processing on the number of large air particles in the shell 1 and the total number of air particles in the shell 1, and generate the large air particle ratio; The air particle size ratio generation submodule is used to perform mean processing on the air particle size to generate the average air particle size, and then perform ratio processing on the average air particle size and the maximum value of the standard air particle size to generate the air particle size ratio; The particle density ratio generating submodule is used to perform a product process on the average size of air particles and the number of air particles to generate a total volume of air particles, and then perform a ratio process on the total volume of air particles and the total volume of air in the housing 1 to generate a particle density ratio; The air particle comprehensive evaluation submodule is used to perform weighted summation on the proportion of large air particles, the air particle size ratio and the particle density ratio to generate the air particle size factor in the shell 1.

[0034] See also Figure 5 As a preferred embodiment of the present invention, the dust removal demand judgment module specifically includes: A data comparison submodule, for comparing the dust assessment value with the dust assessment threshold; It should be explained that the dust assessment threshold is consistent with the method of obtaining the dust assessment value, and its value is set by relevant personnel in this field; The dust removal requirement judgment submodule, if the dust assessment value is greater than or equal to the dust assessment threshold, it means that the larger the dust assessment value is, the greater the possibility of excessive dust accumulation on the surface of the plastic-coated pipe is, and the dust removal requirement judgment submodule is used to generate a dust removal instruction for the plastic-coated pipe; if the dust assessment value is less than the dust assessment threshold, it means that the smaller the dust assessment value is, the smaller the possibility of excessive dust accumulation on the surface of the plastic-coated pipe is, and the dust removal requirement judgment submodule is used to generate an instruction that the plastic-coated pipe does not need to be dusted.

[0035] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A plastic coated pipe surface quality detection device, comprising a housing (1), characterized in that: The housing (1) is provided with a roller (101) and a driven shaft (102) for supporting and driving the plastic-coated pipe to rotate; the plastic-coated pipe surface quality detection device also includes: an adjusting component (2), the adjusting component (2) being arranged on one side of the driven shaft (102) and being used to drive the driven shaft (102) to slide; A dust removal component (3), the dust removal component (3) being arranged on the housing (1) and used for removing dust from the surface of the plastic-coated pipe; A ventilation component (4), the ventilation component (4) being arranged on the housing (1) and used to transfer dust removed from the plastic-coated pipe by the dust removal component (3); An image data acquisition module, used to acquire an image of the surface of the plastic-coated pipe; An image analysis unit, used to obtain the defect ratio of the plastic-coated pipe, the image grayscale difference value, the lighting condition factor and the air particle size factor in the housing (1), and generate a dust assessment value; A dust removal requirement judgment module is used to judge whether the plastic-coated pipe needs to be dusted according to the dust evaluation value, and generate a dust removal instruction; wherein the dust removal instruction includes a dust removal instruction that the plastic-coated pipe needs to be dusted and an instruction that the plastic-coated pipe does not need to be dusted; A dust removal control module, used to control the dust removal component (3) to remove dust from the surface of the plastic-coated pipe according to a dust removal instruction indicating that the plastic-coated pipe needs to be dusted; The surface quality detection module is used to detect the surface quality of plastic-coated pipes.

2. A plastic coated pipe surface quality detection device according to claim 1, characterized in that: The regulating component (2) specifically comprises: A cross bar (202), the cross bar (202) being fixedly arranged on one side of the driven shaft (102); A telescopic member (201), the telescopic member (201) being fixedly arranged in a slide groove provided on the housing (1), and the extended end of the telescopic member (201) being interlaced and rotatably connected to the driven shaft (102).

3. A plastic coated pipe surface quality detection device according to claim 1, characterized in that: The dust removal component (3) specifically comprises: A slider (301), the slider (301) being slidably disposed on the housing (1); An adapter (302), the adapter (302) being fixedly arranged on one side of the sliding block (301); A spray head (303), the spray head (303) being rotatably disposed on the adapter (302); A screw rod (304), the screw rod (304) being arranged on one side of the housing (1), the two ends of the screw rod (304) being rotatably connected to the housing (1) and the screw rod (304) being threadedly connected to the slider (301).

4. A plastic coated pipe surface quality detection device according to claim 1, characterized in that: The ventilation component (4) specifically comprises: A vent (401), the vent (401) being provided on the shell (1); A support member (402), the support member (402) being arranged on one side of the vent (401), the support member (402) being fixedly connected to the housing (1); A fan (403), wherein the fan (403) is arranged on one side of the support member (402), and one end of the fan (403) is fixedly connected to the support member (402).

5. The surface quality detection device for plastic coated pipes according to claim 1 is characterized in that: The image analysis unit specifically includes: An image conversion module, for converting the image of the plastic-coated pipe into a grayscale image; Grayscale image segmentation module, used to divide the grayscale image into several analysis areas and obtain the image grayscale value in each analysis area; The area classification module is used to compare the image grayscale value with the image grayscale value range of the standard plastic-coated pipe. If the image grayscale value is not within the image grayscale value range of the standard plastic-coated pipe, the area is marked as a defective area; the image grayscale value range of the standard plastic-coated pipe refers to the range formed by the image grayscale value of the standard plastic-coated pipe after the image is converted into a grayscale image and the measurement error value; A defect ratio generation module is used to obtain the number of defect areas, perform ratio processing on the number of defect areas and the total number of analysis areas, and generate a defect ratio; The image grayscale difference degree value generation module is used to perform difference processing on the image grayscale value and the image grayscale value of the standard plastic-coated pipe to generate the image grayscale difference value; perform ratio processing on the image grayscale difference value and the image grayscale value of the standard plastic-coated pipe to generate the image grayscale difference degree value; A light condition factor generation module is used to obtain the light intensity value on the surface of the plastic-coated pipe and generate a light condition factor; An air particle size factor generation module, used to obtain air particle data in the shell (1) and generate an air particle size factor in the shell (1); wherein the air particle data includes air particle size and air particle quantity; The dust evaluation value generation module is used to establish a surface dust evaluation model, substitute the defect ratio, the image grayscale difference value, the lighting condition factor and the air particle size factor in the shell (1) into the surface dust evaluation model to generate a dust evaluation value.

6. A plastic coated pipe surface quality detection device according to claim 5, characterized in that: The expression of the surface dust evaluation model is: ； In the expression, Ra represents the defect ratio, Le represents the image grayscale difference value, Su represents the lighting condition factor, and Du represents the air particle size factor in the shell (1); α and β are both weight coefficients, and α+β=1.

7. The surface quality detection device for plastic-coated pipes according to claim 5, characterized in that: The illumination condition factor generation module specifically includes: The light intensity difference generation submodule is used to obtain the light intensity value of the plastic-coated pipe surface, perform difference processing on the light intensity value and the near end point of the standard light intensity range, and generate the light intensity difference value; The illumination condition factor generation submodule is used to perform ratio processing on the illumination intensity difference and the near end point of the standard illumination intensity range to generate the illumination condition factor.

8. The surface quality detection device for plastic-coated pipes according to claim 5, characterized in that: The air particle size factor generation module specifically includes: An air particle data acquisition submodule, used to acquire air particle data in the housing (1); wherein the air particle data includes air particle size and air particle quantity; An air particle classification submodule, for comparing the size of air particles in the housing (1) with the maximum value of the particle size of standard air; if the size of air particles in the housing (1) is larger than the maximum value of the particle size of standard air, it means that the larger the size of air particles in the housing (1), the worse the air quality in the housing (1), and the particle is marked as a large air particle; A large air particle ratio generating submodule is used to obtain the number of large air particles in the shell (1), perform ratio processing on the number of large air particles in the shell (1) and the total number of air particles in the shell (1), and generate a large air particle ratio; The air particle size ratio generation submodule is used to perform mean processing on the air particle size to generate the average air particle size, and then perform ratio processing on the average air particle size and the maximum value of the standard air particle size to generate the air particle size ratio; a particle density ratio generating submodule, for performing a product processing on the average size of air particles and the number of air particles to generate a total volume of air particles, and then performing a ratio processing on the total volume of air particles and the total volume of air in the housing (1) to generate a particle density ratio; The air particle comprehensive evaluation submodule is used to perform weighted summation on the proportion of large air particles, the air particle size ratio and the particle density ratio to generate an air particle size factor in the shell (1).

9. The surface quality detection device for plastic-coated pipes according to claim 5, characterized in that: The dust removal demand judgment module specifically includes: A data comparison submodule, for comparing the dust assessment value with the dust assessment threshold; The dust removal requirement judgment submodule, if the dust assessment value is greater than or equal to the dust assessment threshold, means that the larger the dust assessment value, the greater the possibility of excessive dust accumulation on the surface of the plastic-coated pipe. The dust removal requirement judgment submodule is used to generate an instruction for dust removal of the plastic-coated pipe.

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