Detection method of device for recognizing defects of drainage pipeline based on structure-assisted light
By using structure-assisted light recognition technology in the drainage pipeline, combined with robots and AI-assisted recognition, the problem of detecting complex pipeline defects in the existing technology is solved, and accurate identification and detailed reporting of defects such as undulations and deformation of the inner wall of the pipeline is achieved.
Patent Information
- Application Number
- CN202311372736.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2023-10-23
- Publication Date
- 2025-04-25
AI Technical Summary
When detecting long, complex or bent drainage pipes, the prior art has limitations on visual range and detection technology, making it difficult to accurately detect defects in the pipe.
The detection method based on structure-assisted light recognition is adopted. By mounting the structure-assisted light source onto the robot in the pipeline, projecting structure-assisted light into the inside of the pipeline network, and judging the ups and downs and deformation defects of the pipeline network through the projection shape of the light in different forms inside the pipeline network, thereby assisting AI in defect identification.
It effectively solves the visual range limitations and detection technology limitations of internal defect detection of pipelines, can accurately identify defects such as undulations and deformation of the inner wall of pipelines, and provides detailed reports on the location, size and severity of the defects.
Smart Images
Figure CN119880901A_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the field of drainage pipe detection, and in particular to a detection method of a device for identifying drainage pipe defects based on structure-assisted light. Background Art
[0002] With the continuous development of municipal drainage network inspections in various regions across the country, the detection of the internal conditions of municipal drainage pipes is particularly important, which usually requires us to conduct in-pipeline inspections. In-pipeline inspections can help discover defects and faults in the pipelines and take timely measures to repair them to ensure the safe operation of the pipelines.
[0003] For example, if problems such as undulation and deformation of the pipeline are detected, they can be repaired in time to avoid leakage, explosion or other safety accidents. Through in-pipeline inspection, the operating status and reliability of the pipeline can be evaluated. If problems such as the structural condition, internal fouling, and blockage of the pipeline are detected, maintenance measures can be taken in time to ensure the normal operation and long-term reliability of the pipeline. At the same time, in-pipeline inspection can provide detailed information and data of the pipeline to help with maintenance management.
[0004] For example, by detecting the degree of wear and internal fouling of the pipeline, corresponding maintenance plans and cleaning measures can be formulated to extend the service life of the pipeline. In addition, through in-pipeline inspection, pipeline problems can be discovered and solved in a timely manner, avoiding losses such as production shutdowns and equipment damage caused by pipeline failures. Moreover, reasonable maintenance management can extend the service life of the pipeline and reduce the cost of replacement and repair. In addition, in-pipeline inspection can also help discover pipeline leakage and pollution problems, take timely measures to repair them, and prevent pollution and damage to the environment.
[0005] However, currently, in-pipeline inspection is usually limited by the visual range inside the pipeline. For long, complex or curved pipelines, there may be some parts that cannot be directly observed and inspected. In addition, currently commonly used in-pipeline inspection technologies, such as ultrasound and laser scanning, have certain limitations. For example, some pipeline materials or structures may be insensitive to certain inspection technologies, resulting in the inability to accurately detect defects, or when there are obstacles, not enough effective data points will be scanned, so the contour information obtained inside the pipeline is incomplete.
[0006] Based on the above situation, the present invention proposes a detection method for a device for identifying drainage pipe defects based on structure-assisted light to effectively solve the above problems. Summary of the invention
[0007] In order to solve the problems existing in the background technology, the present invention provides a detection method of a device for identifying drainage pipe defects based on structured auxiliary light.
[0008] The present invention adopts the following technical solution: A detection method for a device for identifying drainage pipe defects based on structured auxiliary light, comprising the following steps: S1. Preparation: Ensure the normal operation of the detection devices and equipment, including structural auxiliary light sources, cameras, and data acquisition equipment; S2, connecting equipment: connecting the structure auxiliary light source and the camera to the detection device; S3. Pipeline preparation: introduce the detection device and related equipment into the drainage pipeline; S4, structure auxiliary light projection: start the structure auxiliary light source and project the light beam into the inside of the pipeline to illuminate the structure inside the pipeline; S5. Data acquisition: Use a camera to capture images and videos inside the pipeline, record the pipeline features under the illumination of structured auxiliary light, and store them in a data acquisition device; S6. Data processing and analysis: The collected images and video data are transmitted to the data processing equipment for image processing and analysis to identify characteristic defects of the pipeline; S7. Characteristic defect identification: Identify characteristic defects in the pipeline by analyzing image and video data; S8. Result reporting and recording: Record and report the identified characteristic defect results.
[0009] Furthermore, in step S3, the device is moved into and inside the pipeline by a mobile device.
[0010] Furthermore, in step S7, the pipeline defects include undulations of the pipeline inner wall and deformation of the pipeline inner wall.
[0011] Furthermore, the step S8 includes the location, size and severity of the defect.
[0012] The present invention provides a detection method for a device for identifying drainage pipe defects based on structured auxiliary light: the present invention mounts the device on a robot inside a pipe, and projects structured auxiliary light into the interior of the pipe network while the robot is moving. The projection shapes of the auxiliary light in different forms inside the pipe network are then used to judge the ups and downs and deformation defects of the pipe network, thereby assisting AI in defect identification. BRIEF DESCRIPTION OF THE DRAWINGS
[0013] Figure 1 A schematic cross-sectional view of a robot carrying the device of the present invention in a pipeline; Figure 2 A schematic side view of a robot carrying the device of the present invention in a pipeline; The serial numbers marked in the figure represent the following in turn: 1-A device for identifying drainage pipe defects based on structure-assisted light. DETAILED DESCRIPTION
[0014] The present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments.
[0015] See attached Figure 1-2 , a detection method for a device for identifying drainage pipe defects based on structured auxiliary light, comprising the following steps: S1. Preparation: Ensure the normal operation of the detection devices and equipment, including structural auxiliary light sources, cameras, and data acquisition equipment; S2, connecting equipment: connecting the structure auxiliary light source and the camera to the detection device; S3. Pipeline preparation: introduce the detection device and related equipment into the drainage pipeline; S4, structure auxiliary light projection: start the structure auxiliary light source and project the light beam into the inside of the pipeline to illuminate the structure inside the pipeline; S5. Data acquisition: Use a camera to capture images and videos inside the pipeline, record the pipeline features under the illumination of structured auxiliary light, and store them in a data acquisition device; S6. Data processing and analysis: The collected images and video data are transmitted to the data processing equipment for image processing and analysis to identify characteristic defects of the pipeline; S7. Characteristic defect identification: Identify characteristic defects in the pipeline by analyzing image and video data; S8. Result reporting and recording: Record and report the identified characteristic defect results.
[0016] In step S3, the device is moved into and into the pipeline by a mobile device.
[0017] In step S7, the pipeline defects include undulations of the pipeline inner wall and deformation of the pipeline inner wall.
[0018] The step S8 includes the location, size and severity of the defect.
[0019] This device projects square laser or ring laser with different projections on the inner wall; when the pipe rises and falls, the upper projection will be longer than the lower projection, and when it rises and falls, the lower projection will be longer than the upper projection; if the pipe is deformed, the projection will be flattened.
[0020] It is obvious to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential features of the present invention. Therefore, the embodiments should be regarded as exemplary and non-limiting from any point of view, and the scope of the present invention is defined by the appended claims rather than the above description, and it is intended that all changes falling within the meaning and scope of the equivalent elements of the claims are included in the present invention, and any reference numerals in the claims should not be regarded as limiting the claims involved.
[0021] Note that the above are only preferred embodiments of the present invention and the technical principles used. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described herein, and that various obvious changes, readjustments and substitutions can be made by those skilled in the art without departing from the scope of protection of the present invention. Therefore, although the present invention has been described in more detail through the above embodiments, the present invention is not limited to the above embodiments, and may also include more other equivalent embodiments without departing from the concept of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims
1. A detection method for a device for identifying drainage pipe defects based on structured auxiliary light, characterized in that: The following steps are involved: S1. Preparation: Ensure the normal operation of the detection devices and equipment, including structural auxiliary light sources, cameras, and data acquisition equipment; S2, connecting equipment: connecting the structure auxiliary light source and the camera to the detection device; S3. Pipeline preparation: introduce the detection device and related equipment into the drainage pipeline; S4, structure auxiliary light projection: start the structure auxiliary light source and project the light beam into the inside of the pipeline to illuminate the structure inside the pipeline; S5. Data acquisition: Use a camera to capture images and videos inside the pipeline, record the pipeline features under the illumination of structured auxiliary light, and store them in a data acquisition device; S6. Data processing and analysis: The collected images and video data are transmitted to the data processing equipment for image processing and analysis to identify characteristic defects of the pipeline; S7. Characteristic defect identification: Identify characteristic defects in the pipeline by analyzing image and video data; S8. Result reporting and recording: Record and report the identified characteristic defect results.
2. The detection method of the device for identifying drainage pipe defects based on structured auxiliary light according to claim 1 is characterized in that: In step S3, the device is moved into and into the pipeline by means of a mobile device.
3. The detection method of the device for identifying drainage pipe defects based on structured auxiliary light according to claim 1 is characterized in that: In step S7, the pipeline defects include undulations of the pipeline inner wall and deformation of the pipeline inner wall.
4. The detection method of the device for identifying drainage pipe defects based on structured auxiliary light according to claim 1 is characterized in that: The step S8 includes the location, size and severity of the defect.