Search

CN-122007100-A - Pipeline dredging system, pipeline dredging method, pipeline dredging equipment and pipeline dredging medium

CN122007100ACN 122007100 ACN122007100 ACN 122007100ACN-122007100-A

Abstract

The application relates to the technical field of pipeline dredging, and provides a pipeline dredging system, a pipeline dredging method, pipeline dredging equipment and pipeline dredging medium, wherein in the scheme of the application, firstly, high-definition image data in a pipeline are collected in real time by an image sensor arranged on the inner wall of the pipeline, so that accurate sensing and disease positioning of the internal state of the pipeline are realized; secondly, the intelligent control module utilizes a jam evaluation model constructed based on deep learning to automatically identify and analyze the image data, accurately judges the type, degree and position of the jam, and forms a scientific and objective jam evaluation result; finally, the high-pressure cleaning component in the mechanical execution module automatically cleans the blockage in the pipeline in a nondestructive mode according to the evaluation result. The non-destructive cleaning of the blockage in the pipeline through the integration of automatic sensing, decision making and execution improves the dredging efficiency and accuracy.

Inventors

  • OU YANG
  • HE GUOBING
  • HE FEI

Assignees

  • 成都中海物业管理有限公司
  • 深圳市海博工程科技有限公司成都分公司
  • 中海物业管理有限公司成都分公司
  • 中海物业管理有限公司

Dates

Publication Date
20260512
Application Date
20251229

Claims (10)

  1. 1. A plumbing system, the system comprising: The visual perception module comprises an image sensor, wherein the image sensor is arranged on the inner wall of the pipeline and is used for acquiring image data of the pipeline; The intelligent control module comprises a blockage evaluation model constructed by using a deep learning method and is used for identifying blockage of the image data so as to obtain a blockage evaluation result in the pipeline; the mechanical execution module comprises the pipeline and a high-pressure cleaning assembly arranged in the pipeline, and the high-pressure cleaning assembly is used for dredging the pipeline according to the blockage evaluation result.
  2. 2. The line dredging system according to claim 1, wherein the occlusion evaluation model comprises a feature extraction unit, a three-dimensional reconstruction unit, a spatial coverage calculation unit, and/or a depth impact calculation unit, and/or a structural risk calculation unit, and/or a material risk calculation unit, and an occlusion evaluation calculation unit, wherein: the feature extraction unit is used for extracting features of the image data to obtain image features; The three-dimensional reconstruction unit is used for carrying out three-dimensional reconstruction on the pipeline according to the image characteristics so as to obtain three-dimensional reconstruction data of the pipeline; the space coverage calculation unit is used for calculating the cross section blockage rate of the pipeline according to the three-dimensional reconstruction data; The depth influence calculation unit is used for calculating the blocking length of the pipeline according to the multi-frame image data; The structural risk calculation unit is used for calculating the eccentricity of a blocking area of the pipeline according to the three-dimensional reconstruction data; the material risk calculation unit is used for calculating the material hardness class of the pipeline according to the three-dimensional reconstruction data; The blockage evaluation calculation unit is used for calculating and obtaining a blockage evaluation result in the pipeline according to the cross section blockage rate, the blockage length, the blockage area eccentricity and/or the material hardness class.
  3. 3. The line pull system of claim 2, wherein the occlusion evaluation calculation unit is configured to calculate an occlusion evaluation result within the line by: Wherein, the For the said rate of cross-sectional blockage, For the length of the occlusion, For the length of the pipe to be described, For the eccentricity of the occlusion region, For the diameter of the pipe in question, For the hardness class of the material, 、 、 、 Are all preset weight parameters.
  4. 4. The line pull through system of claim 2, wherein the occlusion evaluation model comprises a line diameter monitoring unit and an edge density monitoring unit, wherein: The pipeline diameter monitoring unit is used for calculating the pipe diameter of the pipeline according to the image data; the edge density monitoring unit is used for calculating the edge density of the inner wall of the pipeline according to the image data; The blockage evaluation calculation unit is configured to obtain the blockage evaluation result in the pipeline according to the pipe diameter of the pipeline and the edge density of the inner wall of the pipeline.
  5. 5. The plumbing system according to claim 1, wherein the high pressure cleaning assembly comprises a high pressure tube, a high pressure pump, a high pressure spray head, wherein: The high-pressure pump is used for converting normal-pressure water into high-pressure water; The high-pressure pipe is used for communicating the high-pressure pump and the high-pressure spray head so as to convey the high-pressure water to the high-pressure spray head for spraying; the high-pressure spray head comprises one or more high-pressure spray heads which are arranged on the inner wall of the pipeline and used for spraying the high-pressure water to dredge the pipeline.
  6. 6. The pipe clearing system of claim 5, wherein the mechanical execution module further comprises a chemical solvent cleaning assembly for spraying a chemical solvent onto the pipe, the chemical solvent capable of dissolving an organic blocking substance of the pipe to clear the pipe.
  7. 7. The pipeline dredging system according to claim 6, further comprising a dredging scheme generating module for generating a dredging scheme of the pipeline according to the blockage evaluation result, wherein the dredging scheme comprises activating the high pressure cleaning assembly and/or activating a dredging mode of the chemical solvent cleaning assembly to achieve dredging of the pipeline.
  8. 8. A pipeline dredging method based on a pipeline dredging system as claimed in claim 1, wherein the method comprises: Acquiring image data of a pipeline; according to the image data, calculating to obtain a blockage evaluation result in the pipeline; And dredging the pipeline according to the blocking evaluation result.
  9. 9. An electronic device, characterized in that the smart watch comprises a memory, a processor and a computer program stored in the memory and executable on the processor, which processor, when executing the computer program, implements the steps of the method according to claim 8.
  10. 10. A computer readable storage medium storing a computer program, characterized in that the computer program when executed by a processor implements the steps of the method of claim 8.

Description

Pipeline dredging system, pipeline dredging method, pipeline dredging equipment and pipeline dredging medium Technical Field The application relates to the technical field of pipeline dredging, in particular to a pipeline dredging system, a pipeline dredging method, pipeline dredging equipment and pipeline dredging medium. Background In the civilian scenes such as bathroom maintenance, old drainage transformation, medical cleaning, etc., extend to industry precision pipeline mediation and smart city piping lane fortune dimension, cover microcosmic to macroscopic multidimensional application field, rely on modes such as manual inspection and mechanical mediation to carry out detection and maintenance of pipeline traditionally. However, these manual approaches have low inspection efficiency, cannot accurately locate internal defects, and mechanical dredging is often empirically operated, which makes it difficult to thoroughly remove stubborn plugs and may damage the vessel wall. With the aging of pipeline infrastructure and the increasingly strict environmental protection requirements, the manual rough operation mode cannot meet the modern and refined management requirements. Therefore, an automation technology capable of deeply fusing the detection and dredging functions is needed at present, so that accurate sensing of the internal state of a pipeline, accurate positioning of diseases and efficient and nondestructive cleaning of blockage are realized, the operation and maintenance efficiency is greatly improved, and the safety risk and the comprehensive cost are reduced. Disclosure of Invention The application provides a pipeline dredging system, a pipeline dredging method, pipeline dredging equipment and pipeline dredging medium, and aims to solve the problems that the existing pipeline detection and dredging are low in inspection efficiency and cannot accurately position internal defects in a manual mode, mechanical dredging is often operated empirically, stubborn plugs are difficult to thoroughly remove, and the pipe wall is possibly damaged. The application provides a pipeline dredging system, which comprises a visual perception module, an intelligent control module and a mechanical execution module, wherein the visual perception module comprises an image sensor, the image sensor is arranged on the inner wall of a pipeline and used for collecting image data of the pipeline, the intelligent control module comprises a blockage evaluation model constructed by a deep learning method and used for identifying the image data to obtain a blockage evaluation result in the pipeline, and the mechanical execution module comprises the pipeline and a high-pressure cleaning assembly arranged in the pipeline and used for dredging the pipeline according to the blockage evaluation result. In some embodiments of the application, the blockage evaluation model comprises a feature extraction unit, a three-dimensional reconstruction unit, a space coverage calculation unit and/or a depth influence calculation unit and/or a structural risk calculation unit and/or a material risk calculation unit and a blockage evaluation calculation unit, wherein the feature extraction unit is used for carrying out feature extraction on image data to obtain image features, the three-dimensional reconstruction unit is used for carrying out three-dimensional reconstruction on a pipeline according to the image features to obtain three-dimensional reconstruction data of the pipeline, the space coverage calculation unit is used for calculating to obtain the cross section blockage rate of the pipeline according to the three-dimensional reconstruction data, the depth influence calculation unit is used for calculating to obtain the blockage length of the pipeline according to the three-dimensional reconstruction data corresponding to multi-frame image data, the structural risk calculation unit is used for calculating the blockage region eccentricity of the pipeline according to the three-dimensional reconstruction data, the material risk calculation unit is used for calculating to obtain the material hardness type of the pipeline according to the three-dimensional reconstruction data, and the blockage evaluation calculation unit is used for calculating to obtain the blockage evaluation result in the pipeline according to the cross section blockage rate and/or blockage length and/or blockage region eccentricity and/or the material hardness type. In some embodiments of the application, the occlusion evaluation calculation unit is configured to calculate an occlusion evaluation result within the conduit in the following manner: Wherein, the For the rate of cross-sectional blockage,In order to achieve a plug length,For the length of the pipe to be described,In order to block the area of the eccentricity,For the diameter of the pipe in question,Is the hardness type of the material,、、、Are all preset weight parameters. In some embodiments of the application,