CN-121981985-A - Pipe network defect detection system and method based on rain and sewage pipe network transformation

CN121981985ACN 121981985 ACN121981985 ACN 121981985ACN-121981985-A

Abstract

The invention belongs to the technical field of pipe network transformation defect detection, and particularly relates to a pipe network defect detection system and method based on rain and sewage pipe network transformation. According to the invention, the joint evaluation of construction disturbance and pipe network structure response is realized, the accuracy of reconstruction design is improved, the quantitative evaluation of construction influence range and influence degree is carried out, the advanced identification of high-risk sections is carried out, more complete defect information is obtained based on multi-mode detection, the accuracy of defect identification is improved, the joint analysis of pipeline CCTV detection video data and acoustic data is adopted, the problems of pipeline geometry defects, pipeline internal leakage and abnormal acoustic characteristics can be identified at the same time, the problem of incomplete information of a single detection means is solved, the reliability of defect evaluation is improved, the construction disturbance type and the defect type are associated, the pertinence of risk evaluation is improved, and the risk performance of different defects under different construction stages can be accurately predicted, so that the method has higher engineering applicability.

Inventors

WANG YING
SUN LIDONG
ZHANG KUN
GAO YESONG
ZHANG LI
LAO HUIMEI
YUAN MINHANG
JIN TAO
ZHAO LING

Assignees

中建生态环境集团有限公司

Dates

Publication Date: 20260505
Application Date: 20260120

Claims (10)

1. A pipe network defect detection method based on rain and sewage pipe network transformation is characterized by comprising the following steps: acquiring construction planning data of a rain and sewage pipe network reconstruction project, and acquiring construction disturbance parameters according to the construction planning data; acquiring basic structure data and hydraulic data of a pipe network to be modified, and acquiring a structural response value and a hydraulic response value of a pipe section corresponding to the basic structure data and the hydraulic data under the action of construction disturbance based on construction disturbance parameters; Determining a pipe section with a structural response value or a hydraulic response value exceeding a preset threshold value as a transformation sensitive section, and generating a corresponding sensitivity value according to the response value of the transformation sensitive section; performing defect detection on the modified sensitive segment, and acquiring corresponding defect characteristic information according to the defect detection; Obtaining a defect type and a construction disturbance type, and obtaining fusion weights according to the defect type and the construction disturbance type; Combining the defect characteristic information with the sensitivity value of the corresponding transformation sensitive section to perform fusion calculation by combining the fusion weight, so as to generate a defect risk index; And sequencing and grading the defects according to the defect risk indexes, obtaining the defects needing to be processed preferentially on the construction critical path, and outputting a corresponding transformation priority result and construction intervention suggestion.
2. The pipe network defect detection method based on rain and sewage pipe network transformation according to claim 1, wherein the steps of obtaining construction planning data of the rain and sewage pipe network transformation project and obtaining construction disturbance parameters according to the construction planning data include: acquiring construction planning data of a rain and sewage pipe network reconstruction project, wherein the construction planning data comprise construction procedures, operation modes of construction equipment and engineering geological conditions; Obtaining vibration influence quantity of vibration waves of construction equipment on surrounding soil and a pipe network in the excavation process according to the operation mode of the construction equipment and engineering geological conditions; Acquiring the state change quantity of water flow in the pipe during construction according to the construction procedure; Acquiring construction load information, wherein the construction load information comprises excavation unloading, backfilling loading or temporary stacking loading, and acquiring bearing variable quantities of a pipe body and a surrounding soil body during construction by combining engineering geological conditions; and summarizing the vibration influence quantity, the water flow state change quantity and the bearing change quantity into construction disturbance parameters.
3. The pipe network defect detection method based on rain and sewage pipe network transformation according to claim 1, wherein the steps of obtaining basic structure data and hydraulic data of a pipe network to be transformed, obtaining a structural response value and a hydraulic response value of a pipe section corresponding to the basic structure data and the hydraulic data under the action of construction disturbance based on construction disturbance parameters comprise: acquiring basic structure data and hydraulic data of a pipe network to be modified; Acquiring the material strength and the embedding depth of each pipe section according to the basic structure data, and acquiring corresponding structural weights according to the material strength, wherein the structural weights comprise vibration influence weights, bearing change weights and embedding weights; Obtaining a structural response value of the corresponding pipe section under the action of construction disturbance according to the buried depth, the vibration influence quantity, the bearing change quantity and the structural weight; Acquiring a plurality of historical flow rates, a plurality of historical water levels, a current flow rate and a current water level of each pipe section according to the hydraulic data; acquiring hydraulic weights according to the water flow state variable quantity, wherein the hydraulic weights comprise water level weights and flow weights; and acquiring a hydraulic response value according to the plurality of historical flow rates, the plurality of historical water levels, the current flow rate, the current water level and the hydraulic weight.
4. The pipe network defect detection method based on rain and sewage pipe network reconstruction according to claim 1, wherein determining a pipe section with a structural response value or a hydraulic response value exceeding a preset threshold as a reconstruction sensitive section, and generating a corresponding sensitivity value according to the response value of the reconstruction sensitive section comprises: Acquiring a preset threshold, wherein the preset threshold comprises a preset structural response threshold and a preset hydraulic response threshold; judging whether the structural response value or the hydraulic response value exceeds a corresponding preset structural response threshold or a preset hydraulic response threshold; if the structural response value exceeds a preset structural response threshold value, judging that the corresponding pipe section is a transformation sensitive section; if the structural response value does not exceed the preset structural response threshold value, judging that the corresponding pipe section is a modified normal section; if the hydraulic response value exceeds the preset hydraulic response threshold value, judging that the corresponding pipe section is a transformation sensitive section; if the hydraulic response value does not exceed the preset hydraulic response threshold value, judging that the corresponding pipe section is a normal reconstruction section; And generating a sensitivity value according to the structural response value or the hydraulic response value which is determined to correspond to the transformation sensitive section.
5. The pipe network defect detection method based on rain and sewage pipe network transformation according to claim 1, wherein the defect detection is performed on the transformation sensitive section, and corresponding defect characteristic information is obtained according to the defect detection, and the method comprises the following steps: performing defect detection on the modified sensitive section, wherein the defect detection comprises pipeline CCTV detection and acoustic detection; Acquiring a detection image sequence according to CCTV detection of the pipeline, identifying a defect area of the inner wall of the pipeline based on the detection image sequence, and extracting the size, shape and surface morphological characteristics of the defect area; identifying a position generating abnormal sound in the pipeline according to the sound signal obtained by acoustic detection, and obtaining the abnormal sound intensity of the position generating the abnormal sound; and combining the size, shape, surface morphology characteristics, the position where the abnormal sound is generated and the abnormal sound intensity of the defect area in the same pipe section to generate defect characteristic information.
6. The pipe network defect detection method based on rain and sewage pipe network transformation according to claim 1, wherein the steps of obtaining the defect type and the construction disturbance type, and obtaining the fusion weight according to the defect type and the construction disturbance type comprise: obtaining a defect type and a construction disturbance type; Acquiring a weight corresponding table, wherein the weight corresponding table comprises a plurality of defect types of longitudinal indexes and a plurality of construction disturbance types of transverse indexes, and fusion weights corresponding to the construction disturbance types of each defect type, and the fusion weights comprise morphological feature weights, sound intensity weights and sensitivity weights; and according to each defect type and construction disturbance type, matching the corresponding defect type of the longitudinal index and the construction disturbance type of the transverse index, and acquiring a corresponding fusion weight from a weight corresponding table.
7. The pipe network defect detection method based on rain and sewage pipe network transformation according to claim 6, wherein the step of performing fusion calculation on the defect characteristic information and the sensitivity value of the corresponding transformation sensitive segment by combining fusion weights to generate a defect risk index comprises the following steps: acquiring a corresponding surface morphology feature value and an abnormal sound intensity value according to the defect feature information; And obtaining a defect risk index corresponding to each defect according to the surface morphology characteristic value, the abnormal sound intensity value, the sensitivity value and the fusion weight.
8. The pipe network defect detection method based on rain and sewage pipe network transformation according to claim 1, wherein the method is characterized in that the method comprises the steps of sequencing and grading a plurality of defects according to the defect risk index, obtaining the defects needing to be preferentially processed on a construction critical path, and outputting a corresponding transformation priority result and construction intervention suggestion, and comprises the following steps: sequencing the defect risk indexes of each transformation sensitive segment according to the sequence from big to small to generate a risk sequencing table and corresponding risk grades; Acquiring a corresponding construction critical path according to construction planning data, identifying a transformation sensitive section which is positioned on the construction critical path and has a risk level exceeding a preset level, and marking the transformation sensitive section as a high-risk defect; Generating a transformation priority result for defining the defect processing sequence based on the high-risk defects, and outputting concrete construction intervention proposal aiming at each defect in the transformation priority result.
9. A pipe network defect detection system based on rain and sewage pipe network transformation, which is applied to the pipe network defect detection method based on rain and sewage pipe network transformation as claimed in any one of claims 1 to 8, and is characterized by comprising the following steps: The construction disturbance module is used for acquiring construction planning data of the rain and sewage pipe network reconstruction project and acquiring construction disturbance parameters according to the construction planning data; The response value module is used for acquiring basic structure data and hydraulic data of the pipe network to be modified, and acquiring a structural response value and a hydraulic response value of the pipe section corresponding to the basic structure data and the hydraulic data under the action of construction disturbance based on the construction disturbance parameters; The sensitivity module is used for determining a pipe section with a structural response value or a hydraulic response value exceeding a preset threshold value as a reconstruction sensitive section and generating a corresponding sensitivity value according to the response value of the reconstruction sensitive section; The defect detection module is used for detecting defects of the transformation sensitive section and acquiring corresponding defect characteristic information according to the defect detection; the fusion weight module is used for acquiring the defect type and the construction disturbance type and acquiring fusion weights according to the defect type and the construction disturbance type; the defect risk module is used for carrying out fusion calculation on the defect characteristic information and the sensitivity value of the corresponding transformation sensitive section by combining fusion weights to generate a defect risk index; The defect intervention module is used for sequencing and grading the defects according to the defect risk indexes, obtaining the defects needing to be processed preferentially on the construction critical path, and outputting the corresponding reconstruction priority result and construction intervention suggestion.
10. Pipe network defect detection terminal based on rain and sewage pipe network transformation, characterized by comprising: One or more processors; A storage device having one or more programs stored thereon; The program or programs, when executed by the processor or processors, cause the processor or processors to implement the method for detecting pipe network defects based on the rain and sewage pipe network modification according to any one of claims 1 to 8.

Description

Pipe network defect detection system and method based on rain and sewage pipe network transformation Technical Field The invention belongs to the technical field of pipe network transformation defect detection, and particularly relates to a pipe network defect detection system and method based on rain and sewage pipe network transformation. Background With the acceleration of the urban process, the rain and sewage pipe network is taken as an important component of urban infrastructure, and the safety and the operation reliability of the rain and sewage pipe network directly influence urban drainage capacity and environmental quality. However, the long-term running rain and sewage pipe network has the common problems of ageing, sedimentation, breakage, leakage and the like. In urban pipe network reconstruction engineering, construction disturbance (such as excavation, backfilling, equipment vibration and temporary stacking) may further aggravate the change of the pipe network structure and the hydraulic state, thereby causing pipe network damage or accidents. Therefore, the accurate detection and risk assessment of the pipeline network defects are of great significance before reconstruction construction. The traditional method usually ignores the disturbance effect of the construction process on the pipe network structure and the hydraulic state, is difficult to accurately evaluate the sensitivity and risk of the pipe section during the transformation, only depends on a single detection means, such as video or acoustic detection, can not obtain the geometric form and leakage state information of the defect at the same time, causes incomplete description of the defect characteristics, generally can not quantify the risk of the defect by combining the response of the pipe network structure, the hydraulic response and the construction disturbance condition, and lacks the construction priority ordering and scientific intervention strategies. Disclosure of Invention The invention aims to provide a pipe network defect detection system and method based on rain and sewage pipe network transformation, which can combine construction disturbance parameters, pipe network structures, hydraulic characteristics and defect characteristic information to improve the safety, efficiency and construction decision scientificity of rain and sewage pipe network transformation engineering. The technical scheme adopted by the invention is as follows: A pipe network defect detection method based on rain and sewage pipe network transformation comprises the following steps: acquiring construction planning data of a rain and sewage pipe network reconstruction project, and acquiring construction disturbance parameters according to the construction planning data; acquiring basic structure data and hydraulic data of a pipe network to be modified, and acquiring a structural response value and a hydraulic response value of a pipe section corresponding to the basic structure data and the hydraulic data under the action of construction disturbance based on construction disturbance parameters; Determining a pipe section with a structural response value or a hydraulic response value exceeding a preset threshold value as a transformation sensitive section, and generating a corresponding sensitivity value according to the response value of the transformation sensitive section; performing defect detection on the modified sensitive segment, and acquiring corresponding defect characteristic information according to the defect detection; Obtaining a defect type and a construction disturbance type, and obtaining fusion weights according to the defect type and the construction disturbance type; Combining the defect characteristic information with the sensitivity value of the corresponding transformation sensitive section to perform fusion calculation by combining the fusion weight, so as to generate a defect risk index; And sequencing and grading the defects according to the defect risk indexes, obtaining the defects needing to be processed preferentially on the construction critical path, and outputting a corresponding transformation priority result and construction intervention suggestion. In a preferred embodiment, acquiring construction planning data of a rain and sewage pipe network reconstruction project, and acquiring construction disturbance parameters according to the construction planning data includes: acquiring construction planning data of a rain and sewage pipe network reconstruction project, wherein the construction planning data comprise construction procedures, operation modes of construction equipment and engineering geological conditions; Obtaining vibration influence quantity of vibration waves of construction equipment on surrounding soil and a pipe network in the excavation process according to the operation mode of the construction equipment and engineering geological conditions; Acquiring the state change quantity of water flow in