TWI834546B - Pipeline defect imaging and identification system - Google Patents

Abstract

A pipeline defect imaging and identification system that uses the inspection end to detect pipelines and then transmits the inspection results to the management end. Managers use the inspection results to query pipeline defects and immediately transmit the identification results back to the inspection end. The inspection-end processing device provides on-site pipeline inspection personnel with pipeline inspection records, and the relevant pipeline inspection records are simultaneously recorded in the pipeline information management module of the management end. Through the management end, factory personnel can inquire about pipeline defects, and can The pipeline image analysis module performs identification training on pipeline defects to improve the accuracy of pipeline defect detection in the future.

Description

Pipeline defect imaging and identification system

The present invention relates to the technical field of pipeline detection, and in particular refers to a pipeline defect imaging and identification system, which uses detection technologies such as external visual inspection (Visual Inspection, VT) and infrared thermal image detection (IRT) to understand the external conditions of the pipeline. Insulation systems, paints and coatings, leaks and other signs can provide inspection personnel to check whether there are any abnormalities in the appearance of pipelines for immediate treatment and repair.

In petrochemical, oil refining and other factories, process pipelines and equipment are important elements and often contain flammable, explosive and toxic fluids.

However, process pipeline equipment located at high altitudes often leaks or is damaged during operation due to difficulty in inspection, resulting in inability to conduct effective and comprehensive inspections, resulting in unplanned shutdowns, industrial safety accidents, or casualties.

In addition, previous inspection technologies are unable to cover numerous and densely packed production pipelines. Detailed inspections require a lot of manpower, material resources and time, so it is often impossible to take both production and industrial safety into consideration at the same time.

For example, the current pipeline inspection method is roughly as follows: the inspection personnel install a GOPRO camera on a telescopic pole, and use the inspection walkway or aerial work vehicle to allow the GOPRO camera to penetrate deep into the pipe rack layer while simultaneously inspecting the pipelines on the pipe rack. Photography, inspection completed The photographed video data is then saved to the computer and manually reviewed one by one. This method of capturing images has the disadvantage that the image becomes larger as the camera droops toward the inside, and the capturing area becomes smaller. However, the method of manually viewing videos for inspection has problems such as poor viewing efficiency and misjudgment caused by eye fatigue. . Inspection personnel need to carry a lot of equipment (cameras, thermal imaging cameras, VOC detectors, etc.), which further reduces the implementation of pipe rack inspections.

How to improve the above-mentioned pipeline inspection problems is an issue that relevant industry players are actively solving.

The main purpose of the present invention is to provide a pipeline defect imaging and identification system that can circle the image of pipeline leakage, pipeline rust, blistering, corrosion, insulation damage and other defects on the process pipeline and determine the probability of the defect, and successfully identify the defects. After detecting defective images, notifications and warnings will be issued for abnormal conditions.

The secondary purpose of the present invention is to provide a pipeline defect imaging and identification system. After using the inspection end to detect pipelines, the inspection results are transmitted to the management end. The managers use the inspection results to query pipeline defects, and use Image deep learning technology enables the inspection end to identify pipeline defects faster.

Therefore, the overall system of the present invention is as follows, including: an inspection end and a management end; the aforementioned inspection end is used to inspect multiple sets of process pipelines, and includes: an optical image detection device, a thermal It consists of an imaging image detection device and an inspection end processing device; The aforementioned optical image detection device is connected to the inspection end processing device. The optical image detection device includes an extension rod. Four imaging units with fisheye lenses are provided on the extension rod. The extension rod is extended into an In the process pipeline area, each imaging unit takes photos of the process pipeline to obtain images, overlaps the repeated parts of the acquired images, processes the four sets of images to form a process pipeline image, and transmits the sorted process pipeline image to the process pipeline area. Inspection end processing device; The thermal imaging image detection device is connected to the inspection end processing device. The thermal imaging image detection device includes an extension rod. Two sets of color cameras and two sets of thermal imaging cameras are installed on the extension rod. The aforementioned The color camera and the thermal imaging camera are respectively arranged on the front and rear of the extension rod. The extension rod is extended into the aforementioned process pipeline area. Each color camera takes a picture of the process pipeline to obtain a color image of the pipeline. Each thermal imaging camera takes a picture of the process pipeline. The process pipeline obtains the thermal image of the pipeline, overlaps the obtained color image of the pipeline with the thermal image of the pipeline to form a thermal image of the pipeline, and transmits the sorted thermal image to the inspection-end processing device; the inspection-end processing device and The management end is connected. The inspection end processing device includes an inspection planning unit, an inspection area positioning unit, a preliminary drawing management unit and a transmission unit. The inspection planning unit is used to plan the process that requires inspection. In the pipeline area, after arriving at the process pipeline area planned to be inspected by the inspection planning unit, the inspection area positioning unit is used to report the location. The process pipeline image and the thermal imaging are displayed through the preliminary map management unit. , and transmit the process pipeline image and the thermal imaging to the management terminal through the transmission unit for analysis; The management end is used to parse the pipeline information transmitted by the inspection end. The management end includes a pipeline image analysis module and a pipeline information management module. The aforementioned pipeline image analysis module performs analysis on the process pipeline image map. Analyze and analyze the pipeline body defects and flange defects in the process pipeline; and analyze the thermal imaging images to analyze the defects in the pipeline insulation facilities in the process pipeline. After analyzing the above problems, hand them over to the pipeline The information management module stores and notifies. When there are problems in the process pipeline that need to be dealt with immediately, the management end notifies the inspection end processing device to repair the process pipeline.

In the embodiment of the present invention, the optical image detection device has four imaging units centered on the extension rod, and are arranged on the extension rod with upper left, lower left, upper right and lower right, and the upper left and upper right image pickup units are arranged on the extension rod. The front-to-back distance between the unit and the lower left and lower right sides is 250 centimeters.

In the aforementioned embodiment, the four imaging units use a 185-degree fisheye lens, and the upper left and lower left imaging units are tilted 25 degrees toward the extension rod direction, and the upper right and lower right imaging units are tilted 25 degrees toward the extension rod. The lower imaging unit is tilted 25 degrees toward the extension rod.

In the aforementioned embodiment, the image range of the process pipeline image synthesized by the four imaging units is 500 cm x 400 cm.

In an embodiment of the present invention, the inspection-end processing device further includes a gyroscope, which reads the rotation coordinate information of the extension rod and then performs image flip correction on the process pipeline image.

In an embodiment of the present invention, the thermal imaging image detection device is centered on the extension rod, and the color camera and the thermal imaging camera are arranged transversely, and are arranged on the extension rod front and back, and the front-to-back distance is 250 centimeters.

In an embodiment of the present invention, the process pipeline area is provided with a QR code of at least one area location, and the inspection area positioning unit scans the QR code to record the captured image of the process pipeline and the thermal imaging Figure.

In an embodiment of the present invention, the pipeline image analysis module uses the YOLO image analysis system to perform deep learning training models for image recognition and pipeline interpretation.

In an embodiment of the present invention, the pipeline body defects include floating rust on the surface of the pipeline body, corrosion of the pipeline body, and cracks in the coating of the pipeline body.

In the embodiment of the present invention, the flange defects include floating rust on the flange surface and corrosion of the flange body.

In the embodiment of the present invention, the defects of the pipeline insulation facilities include floating rust on the surface of the insulation facilities, corrosion of the insulation facilities, cracks in the coating of the insulation facilities, damage to the insulation facilities, and whether the insulation facilities are loose.

In an embodiment of the present invention, the pipeline image analysis module performs a severity analysis of pipeline corrosion defects on the process pipeline through the process pipeline image diagram, and the severity of the corrosion defects is calculated through the following formula:

In an embodiment of the present invention, the management terminal is a network server.

In an embodiment of the present invention, the pipeline information management module is further provided with multiple sets of process pipeline layout diagrams. The aforementioned process pipeline layout diagrams are used to provide the inspection planning unit with inspection path planning and to integrate the pipeline diagrams. The process pipeline image and thermal imaging image analyzed by the image analysis module are stored.

In an embodiment of the present invention, the pipeline information management module is further connected to a management information report module. The management information report module combines the process pipeline image and thermal imaging image analyzed by the pipeline image analysis module. The ratio of defective pixels to the total defect area of the process pipeline is digitized, and the digitized ratio is recorded.

In an embodiment of the present invention, the inspection end further includes a gas detection device (TVOC), which detects specific gases in the process pipeline area, and then inspects the process pipeline for gas leaks.

In the aforementioned embodiments, the aforementioned specific gas is a volatile gas.

Through the above description, the effects and advantages that can be obtained by the present invention are as follows:

1. This invention can circle defective images of pipeline leakage, pipeline rust, blistering, corrosion, insulation damage and other defects on the process pipeline and determine the probability of defects. After successfully identifying the defective image, it can issue notifications and warnings for abnormal conditions. And the warning threshold can be set based on the gas concentration that the TVOC sensor can detect.

2. The pipeline image and gas concentration are collected through the inspection end and then sent to the management end for identification through the telecommunications network. The identification results are immediately sent back to the inspection end processing device for on-site pipeline inspection personnel to conduct pipeline inspection records. Relevant pipeline inspection records are simultaneously recorded in the pipeline information management module of the management terminal, and can be provided to factory personnel through the management terminal. Operators can query pipeline defects and conduct identification training on pipeline defects through the pipeline image analysis module, so as to improve the accuracy of pipeline defect detection in the future.

3. In addition to being easy to use, the system provided by the present invention also reduces the chances of unplanned factory shutdowns and industrial safety accidents caused by corrosion and cracking of pipeline equipment.

A: Inspection end

B: Management side

C: Process pipeline

C1: Process pipeline area

C2: Rust

D: Process pipeline image

E: Thermal imaging picture

F: Process pipeline layout diagram

11: Optical image detection device

111:Extension rod

112, 113, 114, 115: imaging unit

12: Thermal imaging image detection device

121:Extension rod

122, 123: Color camera

124, 125: Thermal imaging camera

13:Inspection end processing device

131: Inspection planning unit

132: Inspection area positioning unit

133: Preliminary map management unit

134:Transmission unit

14:Gas detection device

21: Pipeline image analysis module

22: Pipeline information management module

23: Management information report module

Figure 1: is the overall system diagram of the present invention.

Figure 2: Usage flow chart of the system inspection end.

Figure 3: Structural diagram of the optical image detection device.

Figure 4: Schematic diagram of process pipeline inspection using optical image inspection device.

Figure 5: Schematic diagram of image overlay by optical image detection device.

Figure 6: Structural diagram of the thermal imaging image detection device.

Figure 7: Schematic diagram of the image combination of the thermal imaging image detection device.

Figure 8: Schematic diagram of defect types during inspection of process pipelines at the inspection end.

Figure 9: Schematic diagram of identifying floating rust on process pipelines using an optical image detection device.

Figure 10: Usage flow chart of the management side.

Figure 11: Process pipeline layout created by the pipeline information management module.

Figure 12: A schematic diagram of using the management information report module to generate data reports.

Figure 13: Schematic diagram of using gas detection device.

In order to enable your review committee to have a further understanding and recognition of the features and characteristics of the present invention, the following preferred embodiments are enumerated and explained with drawings: Please refer to Figure 1, pipeline defect imaging and identification of the present invention. The system includes: an inspection terminal A and a management terminal B.

As shown in Figures 1 and 2, the aforementioned inspection end A is used to inspect multiple sets of process pipelines C, which includes: an optical image detection device 11, a thermal imaging image detection device 12, and an inspection end processing device 13 and a gas detection device 14.

As shown in Figures 3 to 5, the aforementioned optical image detection device 11 is connected to the inspection end processing device 13. The optical image detection device 11 includes an extension rod 111. The extension rod 111 is provided with four parts with fish. The imaging units 112, 113, 114, and 115 of the spectacle lens extend the extension rod 111 into a process pipeline area C1. After each of the imaging units 112, 113, 114, and 115 respectively takes a picture of the process pipeline C to obtain an image, as As shown in FIG. 5 , repeated parts of the obtained images are overlapped with each other, and four sets of images are processed to form a process pipeline image D, and the sorted process pipeline image D is transmitted to the inspection end processing device 13 .

Please continue to refer to Figures 3 to 5. The optical image detection device 11 has four imaging units 112, 113, 114, and 115 centered on the extension rod 111 and arranged at the upper left, lower left, upper right, and lower right sides. The rod 111 is extended, and the front-to-back distance between the upper left and upper right imaging units 112 and 113 and the lower left and lower right 114 and 115 is 250 cm. In addition, the four imaging units 112, 113, 114, and 115 use 185-degree fisheye lenses, and the upper left and lower left imaging units 112 and 114 are tilted 25 degrees toward the extension rod 111, so The upper right and lower right imaging units 113 and 115 face the direction of the extension rod 111 Tilt 25 degrees. Through the above technology, the optical image inspection device can inspect an entire layer of the process pipeline, and the image range of the process pipeline image D synthesized by the four imaging units 112, 113, 114, and 115 is 500 cm x 400 centimeters.

As shown in Figures 6 and 7, the thermal imaging image detection device 12 is connected to the inspection end processing device 13. The thermal imaging image detection device 12 includes an extension rod 121, and two sets of color cameras 122 are installed on the extension rod. , 123 and two sets of thermal imaging cameras 124 and 125. The aforementioned color cameras 122 and 123 and the thermal imaging cameras 124 and 125 are respectively arranged on the front and rear of the extension rod 121 (similar to the configuration of the optical image detection device 10). Further, In other words, the thermal imaging image detection device 12 is centered on the extension rod 121, and the color cameras 122, 123 and the thermal imaging cameras 124, 125 are arranged transversely. The front and rear are arranged on the extension rod 121, and the front-to-back distance is 250 cm. ; Extend the extension rod 121 into the aforementioned process pipeline area C1. As shown in Figure 7, the color cameras 122 and 123 respectively take pictures of the process pipeline C to obtain a color image of the pipeline. The thermal imaging cameras 124 and 125 respectively take pictures of the process pipeline C. Pipeline C acquires a thermal image of the pipeline, overlays the acquired color image of the pipeline with the thermal image of the pipeline to form a thermal image E of the pipeline, and transmits the sorted thermal image E to the inspection end processing device 13 . The detection method of the thermal imaging image detection device 12 can refer to the method of FIG. 4 .

As shown in Figures 2, 8, and 9, the inspection end processing device 13 is connected to the management end B. The inspection end processing device 13 includes an inspection planning unit 131, an inspection area positioning unit 132, A preliminary map management unit 133 and a transmission unit 134. The inspection planning unit 131 is used to plan the process pipeline area C1 that needs to be inspected. After arriving at the process pipeline area C1 that is planned by the inspection planning unit 131 and needs to be inspected, Use this inspection area The positioning unit 132 reports the position, the process pipeline image D and the thermal imaging image E are displayed through the preliminary image management unit 133, and the process pipeline image D and the thermal imaging image E are transmitted through the transmission unit 134 Go to the management end B for analysis; the inspection end processing device 13 further includes a gyroscope 135, which reads the rotation coordinate information of the extension rod 111, and then performs image flip correction on the process pipeline image D.

As shown in Figures 1, 2, and 13, the inspection end A further includes a gas detection device 14 (TVOC). The gas detection device 14 detects specific gases (especially volatile gases) in the process pipeline area C1. Test, and then inspect multiple sets of process pipelines C for gas leaks.

As shown in Figures 8 and 9, the inspection end A uses the optical image detection device 11 and the thermal imaging image detection device 12 to mainly detect defects in the process pipeline C. For example, the optical image detection device 11 is used to detect the pipeline body of the process pipeline C. Conduct inspections for defects, such as floating rust on the surface of the pipeline body, corrosion of the pipeline body, and cracks in the coating of the pipeline body, or inspect flange defects, such as floating rust on the surface of the flange, and corrosion of the flange body, or inspect process pipelines C's insulation facilities are inspected for defects, such as rust on the surface of the insulation facilities, corrosion of the insulation facilities, cracks in the coating of the insulation facilities, damage to the insulation facilities, and whether the insulation facilities are loose. Since manual defect identification is time-consuming, therefore, Inspection terminal A of the present invention delivers the inspection images to the management terminal B for analysis.

As shown in Figure 1 and Figure 10, the management terminal B is used to analyze the pipeline information transmitted by the inspection terminal A. The management terminal B includes a pipeline image analysis module 21, a pipeline information management module 22 and a pipeline information management module 22. It is composed of 23 management information report modules.

As shown in Figures 7, 8, 9, and 10, the aforementioned pipeline image analysis module analyzes the process pipeline image, and analyzes the pipeline body defects and flange defects in the process pipeline; and Thermal imaging images are analyzed to analyze defects in the pipeline insulation facilities existing in the process pipeline. For example, as shown in Figure 9, the optical image detection device 11 identifies floating rust or rust C2 defects in the process pipeline C. The pipeline The image analysis module 21 distinguishes the normal process pipeline C from the parts with floating rust or rust C2 defects on the surface through image learning and image recognition, and performs calculations based on the research nature of the defects in the process pipeline C. The calculation formula is as follows: 1), the graph on the left is the total pixels representing the area of rust C2 defects, and the graph on the right is the total pixels with the characteristics of rust C2 defects. The ratio of the two is the severity of the rust C2 defects. In addition, flange defects or insulation defects can also be calculated using formula (1).

The pipeline image analysis module 21 of the present invention uses the YOLO image analysis system to perform deep learning training models for image recognition and pipeline interpretation.

As shown in Figure 10, the pipeline information management module 22 stores and notifies the information analyzed by the pipeline image analysis module 21. When the process pipeline C has a problem that needs to be handled in real time, the management terminal B notifies the The inspection end processing device 13 performs process pipeline repairs. As shown in FIG. 11 , the pipeline information management module 22 is further provided with multiple sets of process pipeline layout diagrams F. The aforementioned process pipeline layout diagrams F are used to provide the inspection planning unit 131 with inspection path planning and to organize the pipelines. The process pipeline image D and the thermal imaging image E analyzed by the image analysis module 21 are stored.

As shown in Figure 12, the management information report module 23 analyzes the process pipeline image D and the thermal image E analyzed by the pipeline image analysis module 21 according to the process pipeline. The ratio of defective pixels to the total defect area is digitized, and the digitized ratio is recorded. Therefore, after multiple pipeline inspections, it can be detected whether the process pipeline C needs to be replaced or repaired, and the results after each inspection are expressed in data. Even if the inspection personnel are different, the management information report module 23 The stored data is analyzed.

Among them, the management terminal B is a network server that can provide multiple inspection terminal processing devices 13 for connection, so that the inspection terminal A can quickly perform the inspection work of the process pipeline area C1.

The above is an introduction to the system of the present invention. The following will introduce the usage of the present invention and the obtainable effects.

1. The inspection planning unit 131 is provided with the process pipeline layout diagram F of the pipeline information management module 22 of the management terminal B to plan the inspection path.

2. The inspection planning unit 131 of the inspection end A conducts the inspection of the process pipeline area C1. After the inspection personnel arrives at the process pipeline area to be inspected, the inspection personnel can use the QR code of an area position set in the process pipeline area C1. The inspection area positioning unit 132 scans the QR code and then records the start of inspection. The advantage of using QR code is that the return is fast and there is no need to use positioning equipment such as GPS for positioning.

3. As shown in Figure 4, the process pipeline C is image inspected through the optical image detection device 11 and the thermal imaging image detection device 12, and the process pipeline image D in Figure 5 and the thermal imaging image E in Figure 7 can be generated. In Figure 13, the gas detection device 14 detects whether there is leakage of volatile gas, and transmits it back to the management end B through the inspection end processing device 13.

4. Management terminal B identifies defects in process pipeline C from process pipeline image D and thermal imaging image E. Based on the severity of defects in process pipeline C, when there are any that need to be dealt with immediately If the situation occurs, the inspection personnel will be notified to perform advance maintenance. If the defect does not affect the overall operation, the process pipeline image D and the thermal image E will be stored in accordance with the process pipeline layout diagram F, and the inspection will be reported through the management information report module 23 The data is stored.

5. This invention can circle the defective images of pipeline leakage, pipeline rust, blistering, corrosion, insulation damage and other defects on the process pipeline C and determine the probability of defects. After successfully identifying the defective image, it can issue notifications and warnings for abnormal conditions. . And the warning threshold can be set based on the gas concentration that the TVOC sensor can detect.

6. The pipeline image and gas concentration are collected through the inspection terminal A and then sent to the management terminal B for identification through the telecommunications network. The identification results are immediately transmitted back to the inspection terminal processing device 13 of the inspection terminal A for on-site pipeline inspection personnel to conduct pipeline inspections. Inspection records, and their related pipeline inspection records are simultaneously recorded in the pipeline information management module 22 of the management terminal B. Through the management terminal B, factory personnel can inquire about pipeline defects, and can use the pipeline image analysis module 21 to target pipelines. Conduct defect identification training to improve the accuracy of pipeline defect detection in the future.

To sum up, the structure of the present invention has never been seen in books or publicly used. It sincerely meets the requirements for invention patent applications. We sincerely ask the Jun Bureau to take a clear view and grant the patent as soon as possible. We express our sincere prayers.

A: Inspection end

B: Management side

11: Optical image detection device

12: Thermal imaging image detection device

13:Inspection end processing device

14:Gas detection device

21: Pipeline image analysis module

22: Pipeline information management module

23: Management information report module

Claims (15)

A pipeline defect imaging and identification system mainly includes: an inspection end and a management end; the aforementioned inspection end is used to inspect multiple groups of process pipelines, and includes: an optical image detection device, a thermal The imaging image detection device is composed of an inspection-end processing device; the aforementioned optical image detection device is connected to the inspection-end processing device; the optical image detection device includes an extension rod, and a four-part fish rod is provided on the extension rod. The imaging unit of the eyeglass lens extends the extension rod into a process pipeline area. After each imaging unit takes photos of the process pipeline to obtain images, the repeated parts of the acquired images overlap each other, and the four sets of images are processed to form a process pipeline. image diagram, and transmits the sorted process pipeline image to the inspection-end processing device; the thermal imaging image detection device is connected to the inspection-end processing device, and the thermal imaging image detection device includes an extension rod. Two sets of color cameras and two sets of thermal imaging cameras are provided on the top. The aforementioned color cameras and two sets of thermal imaging cameras are respectively arranged on the front and rear of the extension rod. The extension rod is extended into the aforementioned process pipeline area. Each color camera controls the process respectively. The pipeline is photographed to obtain a pipeline color image. Each thermal imaging camera obtains a pipeline thermal image of the process pipeline respectively. The obtained pipeline color image is overlapped with the pipeline thermal image to form a thermal imaging image of the pipeline, and the compiled thermal imaging image is transmitted to The inspection end processing device; the inspection end processing device is connected to the management end. The inspection end processing device includes an inspection planning unit, an inspection area positioning unit, a preliminary map management unit and a transmission unit , this inspection planning unit is used to plan the process pipeline area that needs to be inspected. After arriving at the process pipeline area that needs to be inspected planned by the inspection planning unit, the inspection area positioning unit is used to report the location. The process pipeline image map and the thermal imaging map are displayed through the preliminary map information management unit, and The process pipeline image and the thermal imaging are transmitted to the management terminal through the transmission unit for analysis; the management terminal is used to analyze the pipeline information transmitted by the inspection terminal, and the management terminal includes a pipeline image analysis module, A pipeline information management module; the aforementioned pipeline image analysis module analyzes the process pipeline image, and analyzes pipeline body defects and flange defects in the process pipeline; and analyzes the thermal imaging image, by The thermal imaging image analyzes the defects in the pipeline insulation facilities of the process pipeline. After analyzing the above problems, it is sent to the pipeline information management module for storage and notification. When there are problems in the process pipeline that need to be dealt with immediately, the system will The management end notifies the inspection end processing device to repair the process pipeline. The pipeline defect imaging and identification system as described in claim 1, wherein the optical image detection device has four imaging units centered on the extension rod, and are arranged on the extension rod at the upper left, lower left, upper right and lower right , and the front-to-back distance between the upper left and upper right imaging units and the lower left and lower right is 250 cm. The pipeline defect imaging and identification system described in claim 1 or 2, wherein four of the imaging units use a 185-degree fisheye lens, and the upper left and lower left imaging units face the direction of the extension rod. Inclined at 25 degrees, the upper right and lower right imaging units are inclined at 25 degrees toward the direction of the extension rod. The pipeline defect imaging and identification system described in claim 3, wherein the image range of the process pipeline image synthesized by the four imaging units is 500 cm x 400 cm. As claimed in claim 1, the pipeline defect imaging and identification system, wherein the inspection-end processing device further includes a gyroscope, the gyroscope reads the rotation coordinate information of the extension rod, and then images the process pipeline image. Flip correction. The pipeline defect imaging and identification system according to claim 1, wherein the thermal imaging image detection device is centered on the extension rod, and is horizontally arranged with a color camera and a thermal imaging camera, and are arranged on the front and rear of the extension rod, and The front-to-back distance is 250 centimeters. The pipeline defect imaging and identification system described in claim 1, wherein the process pipeline area is provided with a QR code of at least one regional location, and the inspection area positioning unit scans the QR code to record the captured process pipeline image map, and the thermal image map. The pipeline defect imaging and identification system described in claim 1, wherein the pipeline body defects include floating rust on the surface of the pipeline body, corrosion of the pipeline body, and cracks in the coating of the pipeline body. The pipeline defect imaging and identification system described in claim 1, wherein the flange defects include floating rust on the flange surface and corrosion of the flange body. The pipeline defect imaging and identification system described in claim 1, wherein the defects of the pipeline insulation facilities include floating rust on the surface of the insulation facilities, corrosion of the insulation facilities, cracks in the coating of the insulation facilities, damage to the insulation facilities, and whether the insulation facilities are present or not. loose. The pipeline defect imaging and identification system described in claim 1, wherein the pipeline image analysis module performs a severity analysis of pipeline corrosion defects on the process pipeline through the process pipeline image, and the severity of the corrosion defects is determined by the following formula To do the calculation:

The pipeline defect imaging and identification system of claim 1, wherein the management terminal is a network server. The pipeline defect imaging and identification system described in claim 1, wherein the pipeline information management module is further provided with multiple sets of process pipeline layout diagrams, and the aforementioned process pipeline layout diagrams are used to provide the inspection planning unit with inspection paths. Planning, and storing the process pipeline image analyzed by the pipeline image analysis module and the thermal imaging image. The pipeline defect imaging and identification system described in claim 1, wherein the pipeline information management module is further connected to a management information report module, and the management information report module records the process pipeline analyzed by the pipeline image analysis module The image map and the thermal imaging map are digitized based on the ratio of defective pixels to the total defect area of the process pipeline, and the digitized ratio is recorded. As claimed in claim 1, the pipeline defect imaging and identification system, wherein the inspection end further includes a gas detection device, the gas detection device detects specific gases in the process pipeline area, and then inspects the aforementioned process pipeline. Is there any gas leakage?