CN-121720061-B - Comprehensive detection method and system for leakage of underground sewage pipe network in industrial park

CN121720061BCN 121720061 BCN121720061 BCN 121720061BCN-121720061-B

Abstract

The invention belongs to the technical field related to pipe network leakage detection, and provides a comprehensive detection method and a comprehensive detection system for industrial park underground sewage pipe network leakage, which aim to solve the problems of inaccurate and difficult large-area detection of the existing pipe network leakage detection, carry out overall detection of a ground electromagnetic method on a region to be detected, invert acquired data by adopting prior constraint, and judge a detection section of suspected leakage abnormality according to a resistivity profile; the detection section for suspected leakage abnormality is further detected by a high-density resistivity method and an induced polarization method, grids are refined based on electromagnetic method results and priori information, directional smooth constraint and minimum gradient support are introduced to carry out inversion constraint on collected data, a leakage area is positioned, sampling is carried out to judge the authenticity of leakage in the area, the leakage area is positioned by peeping measurement through a pipeline robot, and rapid identification and delineating of the leakage risk area of the industrial park pipe network are realized through cooperation of a plurality of methods.

Inventors

Mao Deqiang
LIU SHILIANG
WU HONGLIN
WANG YAXUAN
CHAO CHEN
MA HAO
YANG KAI
ZHENG YUSHENG
ZHAI KEXIANG
MENG JIAN

Assignees

山东大学

Dates

Publication Date: 20260508
Application Date: 20260225

Claims (7)

1. The comprehensive detection method for the leakage of the underground sewage pipe network of the industrial park is characterized by comprising the following steps: The method comprises the steps of carrying out overall detection on an area to be detected of an industrial park by a ground electromagnetic method, researching and exploring the area to be detected to obtain area priori information, inverting acquired data by adopting priori constraint to obtain a resistivity profile, judging a detection section suspected of abnormal leakage according to the resistivity profile, and introducing priori constraint items into an objective function of a pipeline scene of the industrial park in electromagnetic method data processing, wherein the method comprises the following specific steps: ; = ; Wherein, the Fitting a term to the data; is a smooth constraint item; Constraint terms for prior information, associated with a plurality of prior constraint functions; And Respectively a smooth constraint weight parameter and a priori constraint weight parameter; is the constraint weight at the nth iteration, Is the initial weight of the prior constraint, n is the iteration number; Is the decay time constant; Confidence for priori information; Data quality index; further detecting the suspected leakage abnormal detection section by using a high-density resistivity method and an induced polarization method, refining grids based on electromagnetic method results and priori information, introducing directional smooth constraint and minimum gradient support to carry out inversion constraint on data of the high-density resistivity method and the induced polarization method, and combining a resistivity profile and a polarization profile to position a leakage area; in the inversion process of the data measured by an electric method, the directional smoothness constraint is as follows: ; Wherein, the And Controlling the smoothness in the horizontal and vertical directions respectively; representing the rate of change of the model in the direction along the pipeline; representing the rate of change of the model in the depth direction; the minimum gradient support is: Wherein, the The degree to which the model m changes drastically at the ith grid cell; is a focusing parameter; Before inversion of data measured by an electric method, firstly, thinning grids based on electromagnetic method results and priori information, specifically, carrying out grid encryption near a pipeline interface according to the vertical distance from a current calculation position to a kth geological interface and the thickness of a background grid layer, determining the self-adaptive transverse grid width of a region near the pipeline based on the influence radius of the pipeline and the width of the background transverse grid, and determining the self-adaptive vertical grid layer thickness of a buried region of the pipeline based on the influence radius of the background vertical grid layer and the position of the pipeline before calculation; Sampling the located leakage area to judge the authenticity of the leakage of the area, peeping and measuring the real leakage area through a pipeline robot, and accurately locating the leakage area.
2. The comprehensive detection method for leakage of an underground sewage pipe network of an industrial park according to claim 1, wherein the comprehensive detection method is characterized in that a ground electromagnetic method, a high-density resistivity method and an induced polarization method are respectively utilized to carry out overall detection on a region to be detected of the industrial park, and specifically comprises the following steps: In electromagnetic method measurement, aiming at an area without coverage on the ground surface, each measuring section is provided with a measuring line on the left, right and upper sides of a pipeline, and aiming at an area with a flower bed or vegetation coverage on the ground surface, the distance between two parallel measuring lines is enlarged, and equidistant measuring lines perpendicular to the pipeline are distributed in the middle for complement measurement, so that the vegetation can be cleaned locally; In the measurement of the high-density resistivity method and the induced polarization method, electrodes are fixed in soil aiming at soil roads, if the measuring line is longer, a roller method is adopted for detection, one-time measurement is carried out on two sides of a pipeline, and the electrodes are wrapped by bentonite aiming at the ground surface covered by a hardened pavement such as a pavement and the like for measurement.
3. The method for comprehensively detecting leakage of the underground sewage pipe network in the industrial park according to claim 1 is characterized by further comprising the steps of quantifying the multi-type defects detected by the pipeline robot into pipeline defect comprehensive indexes based on grade scores of the defects, calculating electrical anomaly strengths reflecting the leakage according to resistivity and polarization values corresponding to depth positions of the measuring lines, evaluating consistency of a geophysical method and pipeline robot detection in space positions according to the pipeline defect comprehensive indexes and the electrical anomaly strengths, calculating comprehensive defect strengths, further evaluating consistency of the geophysical method and pipeline robot in numerical trend changes, and achieving accurate space positioning of leakage points and accurate diagnosis of defect types and grades.
4. An industrial park underground sewage pipe network leakage comprehensive detection system, which adopts the industrial park underground sewage pipe network leakage comprehensive detection method as claimed in any one of claims 1-3, and is characterized by comprising the following steps: The electromagnetic method detection module is configured to carry out overall detection on the area to be detected in the industrial park by a ground electromagnetic method, investigation and investigation on the area to be detected to obtain area prior information, inversion is carried out on the acquired data by adopting prior constraint to obtain a resistivity profile, and a detection section of suspected leakage abnormality is judged according to the resistivity profile; The electric method detection module is configured to detect a detection section suspected of seepage abnormality by using a high-density resistivity method and an induced polarization method, refine grids based on electromagnetic method detection results and priori information, introduce directional smooth constraint and minimum gradient support to carry out inversion constraint on data of the high-density resistivity method and the induced polarization method, and position a seepage area by combining a resistivity profile and a polarization profile; an authenticity detection module configured to sample the located leak region to determine the authenticity of the leak in the region; The pipeline robot detection module is configured to peep and measure a real leakage area through the pipeline robot and accurately position the leakage area.
5. An electronic device comprising a memory and a processor and computer instructions stored on the memory and running on the processor, which when executed by the processor, perform the method of any one of claims 1-3.
6. A computer readable storage medium storing computer instructions which, when executed by a processor, perform the method of any of claims 1-3.
7. A computer program product comprising a computer program which, when executed by a processor, implements the method of any of claims 1-3.

Description

Comprehensive detection method and system for leakage of underground sewage pipe network in industrial park Technical Field The invention belongs to the technical field related to pipe network leakage detection, and particularly relates to a comprehensive detection method and system for underground sewage pipe network leakage of an industrial park. Background The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art. The underground sewage pipe network of the industrial park is used as a core infrastructure for maintaining production activities and environmental safety of the park, and the anti-seepage performance of the underground sewage pipe network is important. The leakage not only causes the loss of sewage resources and increases the treatment cost, but also can cause the infiltration of industrial wastewater containing heavy metals, persistent organic matters and other toxic and harmful pollutants into the ground, thereby causing the pollution of soil and groundwater which are difficult to reverse and forming a long-term threat to the regional ecological environment and human health. Therefore, the method realizes the efficient and accurate detection and diagnosis of hidden troubles of leakage of the underground sewage pipe network in the industrial park, and is an urgent need for environmental risk prevention and control and infrastructure safety operation and maintenance. At present, leakage detection methods for underground sewage pipe networks mainly can be divided into the following categories, but each has obvious technical bottlenecks, and high-requirement detection tasks in complex environments of industrial parks are difficult to meet: First, traditional geophysical prospecting methods are highly versatile in industrial area applications and difficult to locate accurately. Such as a high density resistivity method, an induced polarization method, a ground penetrating radar, a transient electromagnetic method, etc., have been attempted for underground anomaly detection. These methods infer regions where leaks may exist by detecting differences in physical properties of the subsurface medium (e.g., resistivity, dielectric constant). However, the underground environment of the industrial park is extremely complex, the noise, the stratum is complex, the pipeline burial depth and the non-uniformity of backfill soil all generate strong electromagnetic interference, the accuracy of a geophysical prospecting method is continuously reduced along with the increase of the depth, the detection accuracy of an electric method and an electromagnetic method only can reach the meter level, tiny leakage points are difficult to check, misjudgment can be generated, and the detection accuracy cannot be independently used as the reliable basis for the confirmation of the leakage points. Second, the direct detection method is inefficient, costly, and difficult to use for large-scale primary screening. The closed circuit television detection system robot (Closed Circuit Television, CCTV) can intuitively find defects such as cracking, dislocation and the like in the pipeline, but has the advantages of low detection speed, macroscopic detection scale, surface, and requirements on the water level and the mud level in the pipeline, and once the water level/mud level exceeds a specified threshold value, the pipeline robot can be blocked. If the indiscriminate CCTV detection is performed on the whole park pipe network, huge time and economic cost are generated, and the method is not feasible in engineering. The sampling detection method belongs to a target guidance method and is generally used for post-verification. Because the underground sewage pipeline of the chemical industry park is polluted frequently, chemical elements contained in the surrounding soil layers of the underground sewage pipeline are different from those in the surrounding stratum, the soil samples are collected through drilling holes and the underground water samples are collected through monitoring wells in the prior art, and the water chemistry characteristics are analyzed, so that the types and the concentrations of pollutants are determined. However, this method is an invasive detection method, is costly, is generally only used for range definition after severe contamination has been found, and cannot be used for early active discovery of leakage hidden danger. The above prior art has the following problems: Firstly, although the traditional geophysical census method (such as an electromagnetic method, a ground penetrating radar, a high-density resistivity method and an induced polarization method) is convenient to carry, the measurement method is simple and low in cost, the multiple solutions cannot give a reliable conclusion due to the problems of noise, complex stratum, pipeline burial depth and the like; second, the direct detection method can clearly d