Cable pipe-penetrating laying state detection system

Abstract

The invention relates to a cable through-pipe laying state detection system, which comprises a cross section shooting device used for performing directional shooting operation on the cross section of a cable in through-pipe laying so as to obtain a field acquisition image, and an imaging plane of an imaging lens of the cross section shooting device is parallel to the cross section of the cable in through-pipe laying; and the connection judgment device is used for sending out an illegal pipe penetrating alarm signal corresponding to the situation that the armored cable and the lead-coated cable penetrate into the same pipe and are connected when the difference value between the first reference field depth value and the second reference field depth value is between 0 and a preset field depth threshold value and adjacent pixel points exist in the first detection area and the second detection area. According to the invention, a targeted visual data optimization mechanism and a visual data analysis mechanism can be adopted to intelligently detect whether the armored cable and the lead-coated cable are laid in the same pipe or not and whether the armored cable and the lead-coated cable are isolated or not if the armored cable and the lead-coated cable are laid in the same pipe, so that a safety guarantee is provided for a power transmission cable laying site.

Description

Technical Field

[0001] This invention relates to the field of power transmission cable laying, and more particularly to a cable conduit laying status detection system. Background Technology

[0002] Armored cables are cables with a metal armor covering the entire cable, used for protection and to enhance the cable's mechanical strength. They are typically used in complex environments such as underground, submarine, and railway tunnels. For example, invention application CN117238588A (a production process and equipment for armored cables) includes a cable wire braiding machine and a cable extruder located at the discharge end of the cable wire braiding machine. It also includes the following structures: at least three working pools, each with guide rings welded to its front and rear ends; a drying pipe with a return pipe fixed to its bottom; and a mounting plate whose bottom is fixedly connected to the left side of the working pools. This equipment, through the working pools and the structures thereon, combined with the cable wire braiding machine and the cable extruder, forms a comprehensive armored cable production process and equipment. It allows users to use pre-produced non-armored cables that meet the specifications of armored cable cores as raw materials to produce armored cables, eliminating the need to plan and equip a complete armored cable production line within the factory, reducing production costs, and solving the technical problem of high investment costs in existing armored cable production lines. Lead-sheathed cables are cables with a layer of lead wrapped around them. They are mainly used in environments requiring special protection, such as waterproofing, corrosion protection, and rodent protection.

[0003] Armored cables and lead-sheathed cables should not be run in the same conduit as much as possible. Even if they must be run in the same conduit, they should be separated by insulating materials to avoid contact. The main reason for this is that the metal sheath of armored cables is prone to electrochemical corrosion, and crossing with lead-sheathed cables may cause problems such as electrochemical corrosion.

[0004] For example, the specific causes of electrochemical corrosion are as follows: The sheath of armored cables is made of metal, which, when reacting electrochemically with the electrolyte or conductor, easily leads to the dissolution of metal ions and leakage, causing corrosion of the outer metal sheath. If lead-sheathed and armored cables are run in the same conduit and are connected, minute defects such as scratches and cracks on the metal sheath will accelerate the dissolution of metal ions and leakage, increasing the degree of corrosion and thus affecting the cable's service life.

[0005] To illustrate further, the specific causes of electro-corrosion are as follows: Lead-sheathed cables are manufactured using specialized cable production equipment, and the lead sheath encasing the conductor is chemically stable and not easily corroded. However, when lead-sheathed and armored cables are run in the same conduit and are connected, if the metal sheath comes into contact with the lead sheath, the diffusion of metal ions and the migration of lead ions can form a new half-cell system, resulting in electro-corrosion. This leads to damage to the cable sheath, exposure of the live conductor, and ultimately, compromises the safety of the power line.

[0006] Therefore, armored cables and lead-sheathed cables need to be laid in separate conduits during cable laying. If they must be laid in the same conduit, insulating materials or other isolation materials are required to ensure absolute isolation between them. However, the existing technology lacks a high-precision and targeted detection mechanism for whether armored cables and lead-sheathed cables are isolated in power transmission cable laying scenarios, which leads to safety hazards at the power transmission cable laying site. Summary of the Invention

[0007] According to the present invention, a cable conduit laying status detection system is provided, the system comprising:

[0008] A cross-sectional imaging device is used to perform directional imaging of the cross-section of a cable laid in a conduit to obtain and output corresponding on-site acquired images. The imaging plane of the imaging lens of the cross-sectional imaging device is parallel to the cross-section of the cable laid in the conduit.

[0009] A distortion processing device, connected to the cross-sectional imaging device, is used to perform distortion correction processing on the received on-site acquired images to obtain and output the corresponding distorted images;

[0010] An artifact removal device, connected to the distortion processing device, is used to perform artifact removal processing on the received distortion-processed image to obtain and output a corresponding artifact-removed image.

[0011] A real-time filtering device, connected to the artifact removal device, is used to perform Gaussian high-pass filtering on the received artifact removal image to obtain and output the corresponding real-time filtered image.

[0012] A region detection device, connected to the real-time filtering device, is used to identify the image region occupied by the armored cable cross-section in the real-time filtered image based on the imaging characteristics of the armored cable cross-section as a first detection region, and to identify the image region occupied by the lead-sheathed cable cross-section in the real-time filtered image based on the imaging characteristics of the lead-sheathed cable cross-section as a second detection region.

[0013] A depth-of-field resolution device, connected to the region detection device, is used to take the arithmetic mean of the depth values ​​corresponding to each pixel in the first detection region after removing the maximum and minimum values ​​as the first reference depth value, and to take the arithmetic mean of the depth values ​​corresponding to each pixel in the second detection region after removing the maximum and minimum values ​​as the second reference depth value.

[0014] The connection judgment device is connected to the depth resolution device. It is used to issue an illegal pipe-penetration alarm signal corresponding to the armored cable and lead-sheathed cable being inserted into the same pipe and connected when the difference between the first reference depth value and the second reference depth value is between 0 and a preset depth threshold and there are adjacent pixels in the first detection area and the second detection area. Otherwise, it will suspend issuing the illegal pipe-penetration alarm signal corresponding to the armored cable and lead-sheathed cable being inserted into the same pipe and connected.

[0015] Specifically, when the difference between the first reference depth value and the second reference depth value is between 0 and a preset depth threshold, and there are adjacent pixels in the first detection area and the second detection area, an alarm signal for illegal pipe penetration corresponding to armored cables and lead-sheathed cables being inserted into the same pipe and connected is issued; otherwise, the issuance of the alarm signal for illegal pipe penetration corresponding to armored cables and lead-sheathed cables being inserted into the same pipe and connected is suspended, including: when there is a pixel in the first detection area and a pixel in the second detection area whose shortest distance is the distance between two adjacent pixels, it is determined that there are adjacent pixels in the first detection area and the second detection area.

[0016] This invention solves the technical problems in the prior art. It can use targeted visual data optimization and analysis mechanisms to perform high-precision and targeted detection on whether armored cables and lead-sheathed cables are laid in the same conduit and whether they are isolated if they are laid in the same conduit, thereby providing safety assurance for the laying site of power transmission cables. Attached Figure Description

[0017] The embodiments of the present invention will now be described with reference to the accompanying drawings.

[0018] Figure 1 This is a schematic diagram of the internal structure of a cable conduit laying status detection system, showing a cross-section of an armored cable according to an embodiment of the present invention.

[0019] Figure 2 This is a schematic diagram of the internal structure of a cable conduit laying status detection system, showing a cross-section of a lead-sheathed cable according to an embodiment of the present invention.

[0020] Figure 3 This is a schematic diagram of the internal structure of a cable conduit laying status detection system according to embodiment C of the present invention. Detailed Implementation

[0021] The implementation scheme of the cable conduit laying status detection system of the present invention will be described in detail below with reference to the accompanying drawings.

[0022] Figure 1 The diagram shows the internal structure of a cable conduit laying status detection system according to an embodiment of the present invention, illustrating a cross-section of an armored cable. The system includes:

[0023] A cross-sectional imaging device is used to perform directional imaging of the cross-section of a cable laid in a conduit to obtain and output corresponding on-site acquired images. The imaging plane of the imaging lens of the cross-sectional imaging device is parallel to the cross-section of the cable laid in the conduit.

[0024] For example, a cross-sectional imaging device is used to perform directional imaging of the cross-section of a cable laid in a conduit to obtain and output a corresponding on-site acquired image. The imaging plane of the imaging lens of the cross-sectional imaging device is parallel to the cross-section of the cable laid in the conduit, including: the shooting frame rate of the cross-sectional imaging device is inversely correlated with the horizontal resolution of the on-site acquired image, and also inversely correlated with the vertical resolution of the on-site acquired image.

[0025] A distortion processing device, connected to the cross-sectional imaging device, is used to perform distortion correction processing on the received on-site acquired images to obtain and output the corresponding distorted images;

[0026] An artifact removal device, connected to the distortion processing device, is used to perform artifact removal processing on the received distortion-processed image to obtain and output a corresponding artifact-removed image.

[0027] A real-time filtering device, connected to the artifact removal device, is used to perform Gaussian high-pass filtering on the received artifact removal image to obtain and output the corresponding real-time filtered image.

[0028] A region detection device, connected to the real-time filtering device, is used to identify the image region occupied by the armored cable cross-section in the real-time filtered image based on the imaging characteristics of the armored cable cross-section as a first detection region, and to identify the image region occupied by the lead-sheathed cable cross-section in the real-time filtered image based on the imaging characteristics of the lead-sheathed cable cross-section as a second detection region.

[0029] A depth-of-field resolution device, connected to the region detection device, is used to take the arithmetic mean of the depth values ​​corresponding to each pixel in the first detection region after removing the maximum and minimum values ​​as the first reference depth value, and to take the arithmetic mean of the depth values ​​corresponding to each pixel in the second detection region after removing the maximum and minimum values ​​as the second reference depth value.

[0030] The connection judgment device is connected to the depth resolution device. It is used to issue an illegal pipe-penetration alarm signal corresponding to the armored cable and lead-sheathed cable being inserted into the same pipe and connected when the difference between the first reference depth value and the second reference depth value is between 0 and a preset depth threshold and there are adjacent pixels in the first detection area and the second detection area. Otherwise, it will suspend issuing the illegal pipe-penetration alarm signal corresponding to the armored cable and lead-sheathed cable being inserted into the same pipe and connected.

[0031] Specifically, when the difference between the first reference depth value and the second reference depth value is between 0 and a preset depth threshold, and there are adjacent pixels in the first detection area and the second detection area, an alarm signal for illegal pipe penetration corresponding to armored cables and lead-sheathed cables being inserted into the same pipe and connected is issued; otherwise, the issuance of the alarm signal for illegal pipe penetration corresponding to armored cables and lead-sheathed cables being inserted into the same pipe and connected is suspended, including: when there is a pixel in the first detection area and a pixel in the second detection area whose shortest distance is the distance between two adjacent pixels, it is determined that there are adjacent pixels in the first detection area and the second detection area.

[0032] The process of identifying the image region occupied by the armored cable cross-section in the real-time filtered image based on the imaging characteristics of the armored cable cross-section as the first detection region, and identifying the image region occupied by the lead-sheathed cable cross-section in the real-time filtered image based on the imaging characteristics of the lead-sheathed cable cross-section as the second detection region, includes: identifying the image region occupied by the armored cable cross-section in the real-time filtered image based on the brightness value distribution range corresponding to the armored cable cross-section as the first detection region, and identifying the image region occupied by the lead-sheathed cable cross-section in the real-time filtered image based on the brightness value distribution range corresponding to the lead-sheathed cable cross-section as the second detection region, wherein the brightness value distribution range corresponding to the armored cable cross-section is different from the brightness value distribution range corresponding to the lead-sheathed cable cross-section.

[0033] Figure 2 The schematic diagram of the internal structure of the cable conduit laying status detection system shown in the cross-section of a lead-sheathed cable according to an embodiment of the present invention includes the following components:

[0034] A cross-sectional imaging device is used to perform directional imaging of the cross-section of a cable laid in a conduit to obtain and output corresponding on-site acquired images. The imaging plane of the imaging lens of the cross-sectional imaging device is parallel to the cross-section of the cable laid in the conduit.

[0035] A distortion processing device, connected to the cross-sectional imaging device, is used to perform distortion correction processing on the received on-site acquired images to obtain and output the corresponding distorted images;

[0036] An artifact removal device, connected to the distortion processing device, is used to perform artifact removal processing on the received distortion-processed image to obtain and output a corresponding artifact-removed image.

[0037] A real-time filtering device, connected to the artifact removal device, is used to perform Gaussian high-pass filtering on the received artifact removal image to obtain and output the corresponding real-time filtered image.

[0038] A region detection device, connected to the real-time filtering device, is used to identify the image region occupied by the armored cable cross-section in the real-time filtered image based on the imaging characteristics of the armored cable cross-section as a first detection region, and to identify the image region occupied by the lead-sheathed cable cross-section in the real-time filtered image based on the imaging characteristics of the lead-sheathed cable cross-section as a second detection region.

[0039] A depth-of-field resolution device, connected to the region detection device, is used to take the arithmetic mean of the depth values ​​corresponding to each pixel in the first detection region after removing the maximum and minimum values ​​as the first reference depth value, and to take the arithmetic mean of the depth values ​​corresponding to each pixel in the second detection region after removing the maximum and minimum values ​​as the second reference depth value.

[0040] The connection judgment device is connected to the depth resolution device. It is used to issue an illegal pipe-penetration alarm signal corresponding to the armored cable and lead-sheathed cable being inserted into the same pipe and connected when the difference between the first reference depth value and the second reference depth value is between 0 and a preset depth threshold and there are adjacent pixels in the first detection area and the second detection area. Otherwise, it will suspend issuing the illegal pipe-penetration alarm signal corresponding to the armored cable and lead-sheathed cable being inserted into the same pipe and connected.

[0041] The computational detection mechanism is located near the distortion processing device, the artifact removal device, the real-time filtering device, and the area detection device, and is connected to the distortion processing device, the artifact removal device, the real-time filtering device, and the area detection device, respectively.

[0042] The computational detection mechanism, located near the distortion processing device, the artifact removal device, the real-time filtering device, and the region detection device, and connected to each of these devices, includes: the computational detection mechanism being used to analyze the computational load per unit time for each of the distortion processing device, the artifact removal device, the real-time filtering device, and the region detection device.

[0043] Figure 3 The schematic diagram of the internal structure of the cable conduit laying status detection system according to embodiment C of the present invention includes the following components:

[0044] A cross-sectional imaging device is used to perform directional imaging of the cross-section of a cable laid in a conduit to obtain and output corresponding on-site acquired images. The imaging plane of the imaging lens of the cross-sectional imaging device is parallel to the cross-section of the cable laid in the conduit.

[0045] A distortion processing device, connected to the cross-sectional imaging device, is used to perform distortion correction processing on the received on-site acquired images to obtain and output the corresponding distorted images;

[0046] An artifact removal device, connected to the distortion processing device, is used to perform artifact removal processing on the received distortion-processed image to obtain and output a corresponding artifact-removed image.

[0047] A real-time filtering device, connected to the artifact removal device, is used to perform Gaussian high-pass filtering on the received artifact removal image to obtain and output the corresponding real-time filtered image.

[0048] A region detection device, connected to the real-time filtering device, is used to identify the image region occupied by the armored cable cross-section in the real-time filtered image based on the imaging characteristics of the armored cable cross-section as a first detection region, and to identify the image region occupied by the lead-sheathed cable cross-section in the real-time filtered image based on the imaging characteristics of the lead-sheathed cable cross-section as a second detection region.

[0049] A depth-of-field resolution device, connected to the region detection device, is used to take the arithmetic mean of the depth values ​​corresponding to each pixel in the first detection region after removing the maximum and minimum values ​​as the first reference depth value, and to take the arithmetic mean of the depth values ​​corresponding to each pixel in the second detection region after removing the maximum and minimum values ​​as the second reference depth value.

[0050] The connection judgment device is connected to the depth resolution device. It is used to issue an illegal pipe-penetration alarm signal corresponding to the armored cable and lead-sheathed cable being inserted into the same pipe and connected when the difference between the first reference depth value and the second reference depth value is between 0 and a preset depth threshold and there are adjacent pixels in the first detection area and the second detection area. Otherwise, it will suspend issuing the illegal pipe-penetration alarm signal corresponding to the armored cable and lead-sheathed cable being inserted into the same pipe and connected.

[0051] A wireless upload device is disposed near the distortion processing device, the artifact removal device, the real-time filtering device, and the area detection device, and is respectively connected to the distortion processing device, the artifact removal device, the real-time filtering device, and the area detection device;

[0052] The wireless upload device, which is located near the distortion processing device, the artifact removal device, the real-time filtering device, and the region detection device and is connected to each of the following devices: the wireless upload device is used to wirelessly upload the output data of each of the distortion processing device, the artifact removal device, the real-time filtering device, and the region detection device.

[0053] Next, the specific structure of the cable conduit laying status detection system of the present invention will be further described.

[0054] In the cable conduit laying status detection system according to any embodiment of the present invention:

[0055] An image data processing mechanism is used to perform image data processing on the output data of the distortion processing device, the artifact removal device, the real-time filtering device, and the region detection device to obtain the corresponding output processing data of the distortion processing device, the artifact removal device, the real-time filtering device, and the region detection device, respectively.

[0056] The process of using a data processing mechanism to perform image data processing on the output data of the distortion processing device, the artifact removal device, the real-time filtering device, and the region detection device to obtain the corresponding output processing data for each of the following devices includes: performing morphological processing on the output data of the distortion processing device, the artifact removal device, the real-time filtering device, and the region detection device to obtain the corresponding output processing data for each of the following devices.

[0057] The process of using a data processing mechanism to perform image data processing on the output data of the distortion processing device, the artifact removal device, the real-time filtering device, and the region detection device to obtain the corresponding output processing data for each of the following devices includes: performing gamma correction processing on the output data of the distortion processing device, the artifact removal device, the real-time filtering device, and the region detection device to obtain the corresponding output processing data for each of the following devices.

[0058] The process of using a data processing mechanism to perform image data processing on the output data of the distortion processing device, the artifact removal device, the real-time filtering device, and the region detection device to obtain the corresponding output processing data for each of the following devices includes: performing wavelet filtering on the output data of the distortion processing device, the artifact removal device, the real-time filtering device, and the region detection device to obtain the corresponding output processing data for each of the following devices.

[0059] The process of performing image data processing on the output data of the distortion processing device, the artifact removal device, the real-time filtering device, and the region detection device using a data processing mechanism to obtain the corresponding output processing data of the distortion processing device, the artifact removal device, the real-time filtering device, and the region detection device includes: performing contrast enhancement processing on the output data of the distortion processing device, the artifact removal device, the real-time filtering device, and the region detection device to obtain the corresponding output processing data of the distortion processing device, the artifact removal device, the real-time filtering device, and the region detection device.

[0060] In addition, in the cable conduit laying status detection system, the image area occupied by the armored cable cross-section in the real-time filtered image is identified based on the brightness value distribution range corresponding to the armored cable cross-section as the first detection area, and the image area occupied by the lead-sheathed cable cross-section in the real-time filtered image is identified based on the brightness value distribution range corresponding to the lead-sheathed cable cross-section as the second detection area. The difference between the brightness value distribution range corresponding to the armored cable cross-section and the brightness value distribution range corresponding to the lead-sheathed cable cross-section includes: both the brightness value distribution range corresponding to the armored cable cross-section and the brightness value distribution range corresponding to the lead-sheathed cable cross-section are between 0 and 255.

[0061] The essential features of the technical solution of this invention are as follows:

[0062] First: Based on the imaging characteristics of the armored cable cross-section, identify the image area occupied by the armored cable cross-section in the real-time filtered image as the first detection area; based on the imaging characteristics of the lead-sheathed cable cross-section, identify the image area occupied by the lead-sheathed cable cross-section in the real-time filtered image as the second detection area.

[0063] Second: The arithmetic mean of the depth values ​​corresponding to each pixel in the first detection area after removing the maximum and minimum values ​​is taken as the first reference depth value, and the arithmetic mean of the depth values ​​corresponding to each pixel in the second detection area after removing the maximum and minimum values ​​is taken as the second reference depth value.

[0064] Third: When the difference between the first reference depth value and the second reference depth value is between 0 and the preset depth threshold, and there are adjacent pixels in the first detection area and the second detection area, an alarm signal for illegal pipe laying corresponding to armored cables and lead-sheathed cables being laid in the same pipe and connected is issued; otherwise, the issuance of the alarm signal for illegal pipe laying corresponding to armored cables and lead-sheathed cables being laid in the same pipe and connected is suspended, thereby completing the intelligent identification of the compliance of cable pipe laying.

[0065] Fourth: When the shortest distance between a certain pixel in the first detection area and a certain pixel in the second detection area is equal to the distance between two adjacent pixels, it is determined that there are adjacent pixels in the first detection area and the second detection area, thereby achieving pixel-level intelligent identification.

[0066] The cable conduit laying status detection system of the present invention addresses the technical problem of the lack of a high-precision and targeted detection mechanism in the prior art to determine whether armored cables and lead-sheathed cables are isolated in power transmission cable laying scenarios, which leads to safety hazards at the power transmission cable laying site. By employing a targeted visual data optimization mechanism and a visual data analysis mechanism, the system intelligently detects whether armored cables and lead-sheathed cables are laid in the same conduit, and if so, whether they are isolated, thereby providing safety assurance for power transmission cable laying sites.

[0067] Furthermore, the embodiments of the present invention are not limited to the embodiments described above, and various modifications can be made without departing from the spirit of the present invention.

Claims

1. A cable conduit laying status detection system, characterized in that, The system includes: A cross-sectional imaging device is used to perform directional imaging of the cross-section of a cable laid in a conduit to obtain and output corresponding on-site acquired images. The imaging plane of the imaging lens of the cross-sectional imaging device is parallel to the cross-section of the cable laid in the conduit. A distortion processing device, connected to the cross-sectional imaging device, is used to perform distortion correction processing on the received on-site acquired images to obtain and output the corresponding distorted images; An artifact removal device, connected to the distortion processing device, is used to perform artifact removal processing on the received distortion-processed image to obtain and output a corresponding artifact-removed image. A real-time filtering device, connected to the artifact removal device, is used to perform Gaussian high-pass filtering on the received artifact removal image to obtain and output the corresponding real-time filtered image. A region detection device, connected to the real-time filtering device, is used to identify the image region occupied by the armored cable cross-section in the real-time filtered image based on the imaging characteristics of the armored cable cross-section as a first detection region, and to identify the image region occupied by the lead-sheathed cable cross-section in the real-time filtered image based on the imaging characteristics of the lead-sheathed cable cross-section as a second detection region. A depth-of-field resolution device, connected to the region detection device, is used to take the arithmetic mean of the depth values ​​corresponding to each pixel in the first detection region after removing the maximum and minimum values ​​as the first reference depth value, and to take the arithmetic mean of the depth values ​​corresponding to each pixel in the second detection region after removing the maximum and minimum values ​​as the second reference depth value. The connection judgment device is connected to the depth resolution device. It is used to issue an illegal pipe-penetration alarm signal corresponding to the armored cable and lead-sheathed cable being inserted into the same pipe and connected when the difference between the first reference depth value and the second reference depth value is between 0 and a preset depth threshold and there are adjacent pixels in the first detection area and the second detection area. Otherwise, it will suspend issuing the illegal pipe-penetration alarm signal corresponding to the armored cable and lead-sheathed cable being inserted into the same pipe and connected. Specifically, when the difference between the first reference depth value and the second reference depth value is between 0 and a preset depth threshold, and there are adjacent pixels in the first detection area and the second detection area, an alarm signal for illegal pipe penetration corresponding to armored cables and lead-sheathed cables being inserted into the same pipe and connected is issued; otherwise, the issuance of the alarm signal for illegal pipe penetration corresponding to armored cables and lead-sheathed cables being inserted into the same pipe and connected is suspended, including: when there is a pixel in the first detection area and a pixel in the second detection area whose shortest distance is the distance between two adjacent pixels, it is determined that there are adjacent pixels in the first detection area and the second detection area.

2. The cable conduit laying status detection system as described in claim 1, characterized in that: Identifying the image region occupied by the armored cable cross-section in the real-time filtered image based on the imaging characteristics of the armored cable cross-section as the first detection region, and identifying the image region occupied by the lead-sheathed cable cross-section in the real-time filtered image based on the imaging characteristics of the lead-sheathed cable cross-section as the second detection region, includes: identifying the image region occupied by the armored cable cross-section in the real-time filtered image based on the brightness value distribution range corresponding to the armored cable cross-section as the first detection region, and identifying the image region occupied by the lead-sheathed cable cross-section in the real-time filtered image based on the brightness value distribution range corresponding to the lead-sheathed cable cross-section as the second detection region, wherein the brightness value distribution range corresponding to the armored cable cross-section is different from the brightness value distribution range corresponding to the lead-sheathed cable cross-section.

3. The cable conduit laying status detection system as described in claim 2, characterized in that, The system also includes: The computational detection mechanism is located near the distortion processing device, the artifact removal device, the real-time filtering device, and the area detection device, and is connected to the distortion processing device, the artifact removal device, the real-time filtering device, and the area detection device, respectively. The computational detection mechanism, located near the distortion processing device, the artifact removal device, the real-time filtering device, and the region detection device, and connected to each of these devices, includes: the computational detection mechanism being used to analyze the computational load per unit time for each of the distortion processing device, the artifact removal device, the real-time filtering device, and the region detection device.

4. The cable conduit laying status detection system as described in claim 2, characterized in that, The system also includes: A wireless upload device is disposed near the distortion processing device, the artifact removal device, the real-time filtering device, and the area detection device, and is respectively connected to the distortion processing device, the artifact removal device, the real-time filtering device, and the area detection device; The wireless upload device, which is located near the distortion processing device, the artifact removal device, the real-time filtering device, and the region detection device and is connected to each of the following devices: the wireless upload device is used to wirelessly upload the output data of each of the distortion processing device, the artifact removal device, the real-time filtering device, and the region detection device.

5. The cable conduit laying status detection system as described in any one of claims 2-4, characterized in that: An image data processing mechanism is used to perform image data processing on the output data of the distortion processing device, the artifact removal device, the real-time filtering device, and the region detection device to obtain the corresponding output processing data of the distortion processing device, the artifact removal device, the real-time filtering device, and the region detection device.

6. The cable conduit laying status detection system as described in claim 5, characterized in that: The image data processing method employs a data processing mechanism to perform image data processing on the output data of the distortion processing device, the artifact removal device, the real-time filtering device, and the region detection device to obtain the corresponding output processing data for each of the following devices: performing morphological processing on the output data of the distortion processing device, the artifact removal device, the real-time filtering device, and the region detection device to obtain the corresponding output processing data for each of the following devices.

7. The cable conduit laying status detection system as described in claim 5, characterized in that: The image data processing method employs a data processing mechanism to perform image data processing on the output data of the distortion processing device, the artifact removal device, the real-time filtering device, and the region detection device to obtain the corresponding output processing data for each of the following devices: performing gamma correction processing on the output data of the distortion processing device, the artifact removal device, the real-time filtering device, and the region detection device to obtain the corresponding output processing data for each of the following devices.

8. The cable conduit laying status detection system as described in claim 5, characterized in that: The image data processing method employs a data processing mechanism to perform image data processing on the output data of the distortion processing device, the artifact removal device, the real-time filtering device, and the region detection device to obtain the corresponding output processing data for each of the following devices: performing wavelet filtering on the output data of the distortion processing device, the artifact removal device, the real-time filtering device, and the region detection device to obtain the corresponding output processing data for each of the following devices.

9. The cable conduit laying status detection system as described in claim 5, characterized in that: The image data processing method employs a data processing mechanism to perform image data processing on the output data of the distortion processing device, the artifact removal device, the real-time filtering device, and the region detection device to obtain the corresponding output processing data for each of the distortion processing device, the artifact removal device, the real-time filtering device, and the region detection device. This includes performing contrast enhancement processing on the output data of the distortion processing device, the artifact removal device, the real-time filtering device, and the region detection device to obtain the corresponding output processing data for each of the distortion processing device, the artifact removal device, the real-time filtering device, and the region detection device.

Images