Defect detection method and system for urban pipe network

Abstract

The present invention discloses a defect detection method and system for an urban pipe network, which triggers integrity control of the urban pipe network based on the in-place detection of the ends of multiple underground pipes in the urban pipe network; and triggers pressure detection and in-place detection based on multiple detection points of each underground pipe. Further, a pressure change graph of the underground pipe is constructed according to the change amount of each pressure parameter and the position corresponding to each pressure parameter; a first abnormal area is defined based on the pressure change graph; at the same time, a second abnormal area is defined according to the traversal of the pipe body image, and the defect type of the underground pipe is defined based on the second abnormal area and the first abnormal area, so as to perform multi-dimensional defect control for the second abnormal area and the first abnormal area, and further, a defect optimization strategy is triggered according to the defect level of the urban pipe network and each defect type, so as to facilitate overall control in the defect level and each defect type of the urban pipe network.

Description

Technical Field

[0001] The present invention relates to the technical field of urban pipe networks, and in particular to a defect detection method and system for urban pipe networks. Background Art

[0002] With the development of science and technology, urban pipeline networks are applied in cities, and are mainly reflected in underground pipelines. The urban pipeline network is formed by multiple underground pipelines, and each underground pipeline carries out corresponding liquid transportation. In the existing technology, underground pipelines are in underground space for a long time. The defect detection of underground pipelines is generally carried out manually according to the preset time, which is not compatible with multiple detection methods. At the same time, the existing defect detection of underground pipelines performs defect control in a single dimension, which affects the accuracy of the defect types of underground pipelines. Summary of the invention

[0003] The purpose of the present invention is to overcome the shortcomings of the prior art. The present invention provides a defect detection method and system for an urban pipe network, which locates a detection area within the city, and defines a corresponding urban pipe network according to the detection area and the corresponding water flow direction; divides a plurality of underground pipelines based on the urban pipe network, and triggers integrity control of the urban pipe network based on the in-place detection of the ends of the plurality of underground pipelines to output a plurality of complete underground pipelines; in each underground pipeline, defines a plurality of detection points based on the locations of the respective underground pipelines and liquid outlets, triggers pressure detection and in-place detection based on the plurality of detection points, so as to facilitate overall management and control of the plurality of detection points in each underground pipeline, and is compatible with pressure detection and in-place detection, so as to control each underground pipeline in multiple detection dimensions.

[0004] Furthermore, under the joint action of pressure detection at multiple detection points and in-place detection, pressure parameters of multiple detection points are collected, and a pressure change map of the underground pipeline is constructed according to the change amount of each pressure parameter and the position corresponding to each pressure parameter; a first abnormal area is defined based on the pressure change map; the pipe body detector moves along the corresponding underground pipeline; a pipe body image in the underground pipeline is collected based on the pipe body detector, and a second abnormal area is defined according to the traversal of the pipe body image, and the defect type of the underground pipeline is defined based on the second abnormal area and the first abnormal area, so that multi-dimensional defect control is performed on the second abnormal area and the first abnormal area, ensuring that the defect type of the underground pipeline is At the same time, the defect level of the urban pipeline network is defined according to the location of multiple defect types and the corresponding defect types, and the defect optimization strategy is triggered according to the defect level of the urban pipeline network and each defect type, so as to facilitate overall control of the defect level and each defect type of the urban pipeline network, thereby ensuring the accuracy of the defect optimization strategy. At the same time, multiple defect optimization matters are divided based on the defect optimization strategy, and the priorities of multiple defect optimization matters are defined according to multiple defect optimization matters, the functional levels of multiple underground pipelines and the working status of underground pipelines, thereby achieving orderly management and control of multiple defect optimization matters and ensuring the optimization efficiency and integrity of each defect in the urban pipeline network.

[0005] The embodiment of the present invention provides a method for defect detection of an urban pipe network, which is applied to a defect detection scenario of an urban pipe network;

[0006] The defect detection method of the urban pipe network comprises:

[0007] Locate the detection area in the city, and define the corresponding urban pipe network according to the detection area and the corresponding water flow direction;

[0008] Divide the urban pipeline network into multiple underground pipelines, and trigger integrity control of the urban pipeline network based on the in-place detection of the ends of the multiple underground pipelines, so as to output the complete multiple underground pipelines;

[0009] In each underground pipeline, multiple detection points are defined based on the locations of each underground pipeline and the liquid discharge outlet, and pressure detection and in-place detection are triggered based on the multiple detection points;

[0010] Under the joint action of pressure detection at multiple detection points and in-place detection, pressure parameters of multiple detection points are collected, and a pressure change map of the underground pipeline is constructed according to the change amount of each pressure parameter and the position corresponding to each pressure parameter; a first abnormal area is defined based on the pressure change map;

[0011] The pipe body detector moves along the corresponding underground pipeline; based on the pipe body detector, a pipe body image in the underground pipeline is collected, and a second abnormal area is defined according to the traversal of the pipe body image, and a defect type of the underground pipeline is defined based on the second abnormal area and the first abnormal area;

[0012] The defect levels of the urban pipeline network are defined according to the locations of multiple defect types and the corresponding defect types, and the defect optimization strategy is triggered according to the defect levels of the urban pipeline network and each defect type. Multiple defect optimization matters are divided based on the defect optimization strategy, and the priorities of multiple defect optimization matters are defined according to the multiple defect optimization matters, the functional levels of multiple underground pipelines and the working status of the underground pipelines.

[0013] Optionally, locating the detection area in the city and defining a corresponding urban pipe network according to the detection area and the corresponding water flow direction includes:

[0014] Collect pipeline signals in the city, and define detection information based on signal analysis of the pipeline signals in the city;

[0015] Define the detection area in the city according to the detection information, and perform real-time positioning for the detection area in the city;

[0016] Traversing the detection area, and defining the corresponding underground space according to the traversal of the detection area;

[0017] Associating underground spaces and corresponding water flow directions, and defining a primary urban pipe network based on the underground spaces and corresponding water flow directions;

[0018] The final urban pipe network is defined based on the primary urban pipe network, the location of the detection area and the pipeline distribution map of the city.

[0019] Optionally, the dividing of multiple underground pipelines based on the urban pipeline network and triggering integrity control of the urban pipeline network according to the in-place detection of the ends of the multiple underground pipelines to output the complete multiple underground pipelines includes:

[0020] Fixed-frame urban pipe network;

[0021] Divide a plurality of underground pipelines based on the hierarchical arrangement of the urban pipeline network and underground pipelines;

[0022] Traverse multiple underground pipelines, mark the ends of the underground pipelines, and trigger corresponding in-place detection based on the ends of the underground pipelines;

[0023] defining a state of an end of the underground utility line based on the detection of the end of the underground utility line being in position;

[0024] If the state of the end of the underground pipeline is an incomplete state, an incomplete mark is performed on the end of the underground pipeline, and the integrity control of the urban pipeline network is triggered based on multiple incomplete marks;

[0025] In the integrity control of the urban pipeline network, an incomplete pipeline is defined based on the incomplete mark and the corresponding underground pipeline, and the supplementary pipeline part is determined according to the incomplete pipeline and the corresponding extension direction. The underground pipeline in a complete state is constructed based on the incomplete pipeline and the supplementary pipeline part to output multiple complete underground pipelines.

[0026] Optionally, in each underground pipeline, a plurality of detection points are defined based on the locations of each underground pipeline and the liquid outlet, and pressure detection and in-place detection are triggered based on the plurality of detection points, including:

[0027] For each underground pipeline, the length and shape of the underground pipeline are collected;

[0028] Define a corresponding traversal mode according to the length and shape of the underground pipeline;

[0029] Traverse the underground pipeline along the traversal pattern and mark each liquid discharge outlet;

[0030] Defining multiple detection points based on the locations of various underground pipelines and liquid discharge outlets;

[0031] Trigger the distribution optimization of the detection points according to the locations of the multiple detection points and the shapes of the underground pipelines, and output the final multiple detection points;

[0032] Pressure detection and in-place detection are triggered based on multiple detection points, pressure detection and in-place detection are associated in the same detection point, and a matching coefficient is defined based on the matching of pressure detection and in-place detection, and the matching coefficient reaches a preset matching coefficient threshold.

[0033] Optionally, under the joint action of the pressure detection at multiple detection points and the in-place detection, the pressure parameters of multiple detection points are collected, and a pressure change graph of the underground pipeline is constructed according to the change amount of each pressure parameter and the position corresponding to each pressure parameter; and the first abnormal area is defined based on the pressure change graph, including:

[0034] Perform pressure detection and in-place detection on multiple detection points, and define the order of pressure detection and in-place detection based on the shape of the underground pipeline and the location of the detection points;

[0035] When the pressure test takes precedence over the in-place test, the pressure parameters of multiple test points are collected;

[0036] Defining the corresponding pressure parameter variation based on the pressure parameters of two adjacent detection points, and collecting the variation of each pressure parameter;

[0037] Associating the change amount of each pressure parameter and the position corresponding to each pressure parameter;

[0038] Constructing a pressure change diagram of the underground pipeline according to the change amount of each pressure parameter and the position corresponding to each pressure parameter;

[0039] The pressure change graph is frozen, a plurality of pressure change regions are divided according to the pressure change graph, and a first abnormal region is defined according to the plurality of pressure change regions and the pressure abnormality mechanism.

[0040] Optionally, the pipe body detector moves along the corresponding underground pipeline; based on the pipe body detector, a pipe body image in the underground pipeline is collected, and a second abnormal area is defined according to the traversal of the pipe body image, and a defect type of the underground pipeline is defined based on the second abnormal area and the first abnormal area, including:

[0041] Monitor the progress of pressure testing through the combined effects of pressure testing at multiple testing points and in-place testing;

[0042] If the progress of the pressure test reaches the preset progress threshold, the in-place test of multiple test points is triggered. At this time, the test points of the in-place test and the test points of the pressure test do not overlap;

[0043] Real-time monitoring and in-place detection, at this time, the pipe detector moves along the corresponding underground pipeline and passes through multiple detection points in sequence.

[0044] Optionally, the pipe body detector moves along the corresponding underground pipeline; based on the pipe body detector, a pipe body image in the underground pipeline is collected, and a second abnormal area is defined according to the traversal of the pipe body image, and a defect type of the underground pipeline is defined based on the second abnormal area and the first abnormal area, and further includes:

[0045] Collect pipe body images in underground pipelines based on pipe body detectors;

[0046] Defining a plurality of abnormal features according to the traversal of the tube body image, and defining a second abnormal area according to the plurality of abnormal features and corresponding abnormal positions;

[0047] The second abnormal area is matched with the first abnormal area, and a corresponding abnormal matching coefficient is defined. The influencing parameter of the defect type is defined based on the abnormal matching coefficient. The defect type of the underground pipeline is defined based on the influencing parameter of the defect type, the second abnormal area and the first abnormal area.

[0048] Optionally, the defect level of the urban pipe network is defined according to the locations of the multiple defect types and the corresponding defect types, and the defect optimization strategy is triggered according to the defect level of the urban pipe network and each defect type, and multiple defect optimization items are divided based on the defect optimization strategy, and the priorities of the multiple defect optimization items are defined according to the multiple defect optimization items, the functional levels of the multiple underground pipelines, and the working status of the underground pipelines, including:

[0049] Collect defect types of multiple underground pipelines;

[0050] Associate multiple underground pipeline defect types and mark the locations of multiple defect types;

[0051] Defining the defect level of the urban pipeline network according to the locations of multiple defect types, the corresponding defect types and the functional level of the corresponding underground pipelines;

[0052] The defect optimization strategy is triggered according to the defect level of the urban pipeline network and the types of defects.

[0053] Optionally, the method further includes defining the defect level of the urban pipe network according to the locations of the multiple defect types and the corresponding defect types, triggering the defect optimization strategy according to the defect level of the urban pipe network and each defect type, dividing the multiple defect optimization items based on the defect optimization strategy, and defining the priorities of the multiple defect optimization items according to the multiple defect optimization items, the functional levels of the multiple underground pipelines and the working status of the underground pipelines, and further includes:

[0054] Divide multiple defect optimization items based on defect optimization strategy and defect types of multiple underground pipelines;

[0055] Associating multiple defect optimization items, functional levels of multiple underground pipelines, and the working status of underground pipelines;

[0056] Priorities of the plurality of defect optimization items are defined according to the plurality of defect optimization items, the functional levels of the plurality of underground pipelines, and the working status of the underground pipelines.

[0057] In addition, an embodiment of the present invention further provides a defect detection system for an urban pipe network, the defect detection system for an urban pipe network comprising:

[0058] The positioning module is used to locate the detection area in the city and define the corresponding urban pipe network according to the detection area and the corresponding water flow direction;

[0059] An underground pipeline module is used to divide multiple underground pipelines based on the urban pipeline network, and trigger the integrity control of the urban pipeline network according to the in-place detection of the ends of the multiple underground pipelines, so as to output the complete multiple underground pipelines;

[0060] A detection module is used to define multiple detection points in each underground pipeline based on the location of each underground pipeline and the liquid discharge outlet, and trigger pressure detection and in-place detection based on the multiple detection points;

[0061] The first abnormal module is used to collect pressure parameters of multiple detection points under the joint action of pressure detection and in-place detection at multiple detection points, and construct a pressure change map of the underground pipeline according to the change amount of each pressure parameter and the position corresponding to each pressure parameter; define a first abnormal area based on the pressure change map;

[0062] A second abnormal module is used for the pipe body detector to move along the corresponding underground pipeline; based on the pipe body detector, the pipe body image in the underground pipeline is collected, and a second abnormal area is defined according to the traversal of the pipe body image, and the defect type of the underground pipeline is defined based on the second abnormal area and the first abnormal area;

[0063] The defect optimization module is used to define the defect level of the urban pipeline network according to the locations of multiple defect types and the corresponding defect types, and trigger the defect optimization strategy according to the defect level of the urban pipeline network and each defect type, divide multiple defect optimization items based on the defect optimization strategy, and define the priorities of multiple defect optimization items according to multiple defect optimization items, the functional levels of multiple underground pipelines and the working status of the underground pipelines.

[0064] In an embodiment of the present invention, the method in the embodiment of the present invention is used to locate the detection area in the city, and define the corresponding urban pipe network according to the detection area and the corresponding water flow direction; multiple underground pipelines are divided based on the urban pipe network, and the integrity control of the urban pipe network is triggered for the in-place detection of the ends of the multiple underground pipelines to output a complete multiple underground pipelines; in each underground pipeline, multiple detection points are defined based on the locations of each underground pipeline and the liquid outlet, and pressure detection and in-place detection are triggered based on the multiple detection points, so as to facilitate overall management and control of multiple detection points in each underground pipeline, and pressure detection and in-place detection are compatible, so as to control each underground pipeline in multiple detection dimensions.

[0065] Furthermore, under the joint action of pressure detection at multiple detection points and in-place detection, pressure parameters of multiple detection points are collected, and a pressure change map of the underground pipeline is constructed according to the change amount of each pressure parameter and the position corresponding to each pressure parameter; a first abnormal area is defined based on the pressure change map; the pipe body detector moves along the corresponding underground pipeline; a pipe body image in the underground pipeline is collected based on the pipe body detector, and a second abnormal area is defined according to the traversal of the pipe body image, and the defect type of the underground pipeline is defined based on the second abnormal area and the first abnormal area, so that multi-dimensional defect control is performed on the second abnormal area and the first abnormal area, ensuring that the defect type of the underground pipeline is At the same time, the defect level of the urban pipeline network is defined according to the location of multiple defect types and the corresponding defect types, and the defect optimization strategy is triggered according to the defect level of the urban pipeline network and each defect type, so as to facilitate overall control of the defect level and each defect type of the urban pipeline network, thereby ensuring the accuracy of the defect optimization strategy. At the same time, multiple defect optimization matters are divided based on the defect optimization strategy, and the priorities of multiple defect optimization matters are defined according to multiple defect optimization matters, the functional levels of multiple underground pipelines and the working status of underground pipelines, thereby achieving orderly management and control of multiple defect optimization matters and ensuring the optimization efficiency and integrity of each defect in the urban pipeline network. BRIEF DESCRIPTION OF THE DRAWINGS

[0066] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0067] Figure 1 is a flow chart of a defect detection method for an urban pipe network in an embodiment of the present invention;

[0068] Figure 2 is a flow chart of S11 in the urban pipe network defect detection method according to an embodiment of the present invention;

[0069] Figure 3 is a flow chart of S12 in the urban pipe network defect detection method according to an embodiment of the present invention;

[0070] Figure 4 is a flow chart of S13 in the urban pipe network defect detection method according to an embodiment of the present invention;

[0071] Figure 5 is a flow chart of S14 in the urban pipe network defect detection method according to an embodiment of the present invention;

[0072] Figure 6 is a flow chart of S15 in the urban pipe network defect detection method according to an embodiment of the present invention;

[0073] Figure 7 is a flow chart of S16 in the urban pipe network defect detection method according to an embodiment of the present invention;

[0074] Figure 8 Schematic diagram of the structure of the urban pipe network defect detection system in the embodiment of the present invention;

[0075] Fig. 9 The figure is a hardware diagram of an electronic device according to an exemplary embodiment. DETAILED DESCRIPTION

[0076] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0077] See also Figures 1 to 9 , a defect detection method for an urban pipe network is applied to a defect detection scenario of an urban pipe network; the defect detection method for an urban pipe network includes:

[0078] Step S11: Locate the detection area in the city, and define the corresponding urban pipe network according to the detection area and the corresponding water flow direction;

[0079] Step S12: dividing the urban pipe network into multiple underground pipes, and triggering integrity control of the urban pipe network according to the in-place detection of the ends of the multiple underground pipes, so as to output the complete multiple underground pipes;

[0080] Step S13: in each underground pipeline, a plurality of detection points are defined based on the locations of each underground pipeline and the liquid discharge outlet, and pressure detection and in-place detection are triggered based on the plurality of detection points;

[0081] Step S14: Under the combined effect of pressure detection at multiple detection points and in-place detection, pressure parameters of multiple detection points are collected, and a pressure change graph of the underground pipeline is constructed according to the change amount of each pressure parameter and the position corresponding to each pressure parameter; a first abnormal area is defined based on the pressure change graph;

[0082] Step S15: the pipe body detector moves along the corresponding underground pipeline; based on the pipe body detector, the pipe body image in the underground pipeline is collected, and a second abnormal area is defined according to the traversal of the pipe body image, and the defect type of the underground pipeline is defined based on the second abnormal area and the first abnormal area;

[0083] Step S16: Define the defect level of the urban pipeline network according to the locations of multiple defect types and the corresponding defect types, trigger the defect optimization strategy according to the defect level of the urban pipeline network and each defect type, divide multiple defect optimization matters based on the defect optimization strategy, and define the priorities of multiple defect optimization matters according to the multiple defect optimization matters, the functional levels of multiple underground pipelines and the working status of the underground pipelines.

[0084] In an embodiment of the present invention, the method in the embodiment of the present invention is used to locate the detection area in the city, and define the corresponding urban pipe network according to the detection area and the corresponding water flow direction; multiple underground pipelines are divided based on the urban pipe network, and the integrity control of the urban pipe network is triggered for the in-place detection of the ends of the multiple underground pipelines to output a complete multiple underground pipelines; in each underground pipeline, multiple detection points are defined based on the locations of each underground pipeline and the liquid outlet, and pressure detection and in-place detection are triggered based on the multiple detection points, so as to facilitate overall management and control of multiple detection points in each underground pipeline, and pressure detection and in-place detection are compatible, so as to control each underground pipeline in multiple detection dimensions.

[0085] Furthermore, under the joint action of pressure detection at multiple detection points and in-place detection, pressure parameters of multiple detection points are collected, and a pressure change map of the underground pipeline is constructed according to the change amount of each pressure parameter and the position corresponding to each pressure parameter; a first abnormal area is defined based on the pressure change map; the pipe body detector moves along the corresponding underground pipeline; a pipe body image in the underground pipeline is collected based on the pipe body detector, and a second abnormal area is defined according to the traversal of the pipe body image, and the defect type of the underground pipeline is defined based on the second abnormal area and the first abnormal area, so that multi-dimensional defect control is performed on the second abnormal area and the first abnormal area, ensuring that the defect type of the underground pipeline is At the same time, the defect level of the urban pipeline network is defined according to the location of multiple defect types and the corresponding defect types, and the defect optimization strategy is triggered according to the defect level of the urban pipeline network and each defect type, so as to facilitate overall control of the defect level and each defect type of the urban pipeline network, thereby ensuring the accuracy of the defect optimization strategy. At the same time, multiple defect optimization matters are divided based on the defect optimization strategy, and the priorities of multiple defect optimization matters are defined according to multiple defect optimization matters, the functional levels of multiple underground pipelines and the working status of underground pipelines, thereby achieving orderly management and control of multiple defect optimization matters and ensuring the optimization efficiency and integrity of each defect in the urban pipeline network.

[0086] refer to Figure 2 , in step S11, the detection area in the city is located, and the corresponding urban pipe network is defined according to the detection area and the corresponding water flow direction;

[0087] In the specific implementation process of the present invention, the specific steps may be:

[0088] S111: collecting pipeline signals in the city, and defining detection information according to signal analysis of the pipeline signals in the city;

[0089] S112: defining a detection area in the city according to the detection information, and performing real-time positioning for the detection area in the city;

[0090] S113: traversing the detection area, and defining a corresponding underground space according to the traversal of the detection area;

[0091] S114: Associating underground spaces and corresponding water flow directions, and defining a primary urban pipe network based on the underground spaces and the corresponding water flow directions;

[0092] S115: defining a final urban pipe network based on the primary urban pipe network, the location of the detection area, and the pipeline distribution map of the city.

[0093] In an embodiment of the present application, pipeline signals within the city are collected, and detection information is defined based on signal analysis of the pipeline signals within the city, so as to introduce the detection information, thereby further controlling based on the detection information, and then defining the detection area within the city based on the detection information, and performing real-time positioning for the detection area within the city, thereby ensuring the management and control of the detection area within the city.

[0094] Therefore, the detection area is traversed, and the corresponding underground space is defined based on the traversal of the detection area, so as to associate the underground space and the corresponding water flow direction, fully considering the underground space and the corresponding water flow direction. At the same time, the underground space and the corresponding water flow direction are associated, and the primary urban pipeline network is defined based on the underground space and the corresponding water flow direction, so as to be compatible with the underground space and the corresponding water flow direction, realize multi-dimensional control, and ensure the accuracy of the primary urban pipeline network.

[0095] Furthermore, the primary urban pipeline network, the location of the detection area and the pipeline distribution map of the city are introduced, and the primary urban pipeline network, the location of the detection area and the pipeline distribution map of the city are associated with each other, so as to define the final urban pipeline network based on the primary urban pipeline network, the location of the detection area and the pipeline distribution map of the city.

[0096] refer to Figure 3 In step S12, a plurality of underground pipelines are divided based on the urban pipeline network, and integrity control of the urban pipeline network is triggered according to the in-place detection of the ends of the plurality of underground pipelines, so as to output a plurality of complete underground pipelines;

[0097] In the specific implementation process of the present invention, the specific steps may be:

[0098] S121: Fixed-frame urban pipe network;

[0099] S122: Dividing a plurality of underground pipelines based on the urban pipeline network and the hierarchical arrangement of the underground pipelines;

[0100] S123: traverse multiple underground pipelines, mark the ends of the underground pipelines, and trigger corresponding in-place detection based on the ends of the underground pipelines;

[0101] S124: defining the state of the end of the underground pipeline based on the in-place detection of the end of the underground pipeline;

[0102] S125: If the state of the end of the underground pipeline is an incomplete state, an incomplete mark is performed on the end of the underground pipeline, and the integrity control of the urban pipeline network is triggered based on multiple incomplete marks;

[0103] S126: In the integrity control of the urban pipeline network, an incomplete pipeline is defined based on the incomplete mark and the corresponding underground pipeline, and a supplementary pipeline part is determined according to the incomplete pipeline and the corresponding extension direction. An underground pipeline in a complete state is constructed based on the incomplete pipeline and the supplementary pipeline part to output multiple complete underground pipelines.

[0104] In an embodiment of the present application, the urban pipeline network is frozen and controlled. At the same time, multiple underground pipelines are divided based on the hierarchical layout of the urban pipeline network and underground pipelines, so as to introduce multiple underground pipelines and be compatible with the overall consideration of the hierarchical layout of the urban pipeline network and underground pipelines.

[0105] At this time, multiple underground pipelines are traversed, and the ends of the underground pipelines are marked. The corresponding in-place detection is triggered based on the end of the underground pipeline, and the end of the underground pipeline is managed and controlled. Therefore, the state of the end of the underground pipeline is defined based on the in-place detection of the end of the underground pipeline, and the state of the end of the underground pipeline is controlled in a targeted manner to facilitate further processing of the state of the end of the underground pipeline.

[0106] Therefore, if the state of the end of the underground pipeline is incomplete, the end of the underground pipeline is marked as incomplete, and the integrity control of the urban pipeline network is triggered based on multiple incomplete marks to supplement the integrity of the underground pipeline.

[0107] Furthermore, in the integrity control of the urban pipeline network, an incomplete pipeline is defined based on the incomplete mark and the corresponding underground pipeline, and a supplementary pipeline part is determined according to the incomplete pipeline and the corresponding extension direction. An underground pipeline in a complete state is constructed based on the incomplete pipeline and the supplementary pipeline part to output multiple complete underground pipelines, thereby ensuring the integrity of multiple underground pipelines and further ensuring the underground pipeline.

[0108] refer to Figure 4 In step S13, in each underground pipeline, multiple detection points are defined based on the locations of each underground pipeline and the liquid outlet, and pressure detection and in-place detection are triggered based on the multiple detection points;

[0109] In the specific implementation process of the present invention, the specific steps may be:

[0110] S131: For each underground pipeline, collect the length and shape of the underground pipeline;

[0111] S132: defining a corresponding traversal mode according to the length and shape of the underground pipeline;

[0112] S133: traverse the underground pipeline along the traversal pattern and mark each liquid discharge outlet;

[0113] S134: defining a plurality of detection points based on the locations of each underground pipeline and the liquid outlet;

[0114] S135: triggering distribution optimization of the detection points according to the locations of the multiple detection points and the shape of the underground pipeline, and outputting the final multiple detection points;

[0115] S136: triggering pressure detection and in-place detection based on multiple detection points, associating pressure detection and in-place detection in the same detection point, defining a matching coefficient based on matching of pressure detection and in-place detection, and the matching coefficient reaches a preset matching coefficient threshold.

[0116] In an embodiment of the present application, in each underground pipeline, the length and shape of the underground pipeline are collected to facilitate the control of the length and shape of the underground pipeline, thereby being compatible with the overall consideration of the length and shape of the underground pipeline, and then defining a corresponding traversal mode according to the length and shape of the underground pipeline; the traversal mode includes a serpentine traversal mode, a square traversal mode, etc., which are not limited here.

[0117] At this time, the underground pipeline is traversed along the traversal pattern, and each liquid outlet is marked, so that each liquid outlet is managed and controlled, so as to associate the locations of each underground pipeline and the liquid outlet, and then define multiple detection points based on the locations of each underground pipeline and the liquid outlet, thereby realizing the control of multiple detection points.

[0118] Therefore, the distribution optimization of the detection points is triggered according to the locations of the multiple detection points and the shapes of the underground pipelines, so as to facilitate further refinement based on the preliminary classification of the multiple detection points, thereby introducing the distribution optimization of the detection points, and being compatible with the overall consideration of the locations of the multiple detection points and the shapes of the underground pipelines, so as to output the final multiple detection points and ensure the accuracy of the multiple detection points.

[0119] Furthermore, pressure detection and in-place detection are triggered based on multiple detection points, and pressure detection and in-place detection are associated in the same detection point. A matching coefficient is defined based on the matching of pressure detection and in-place detection, and the matching coefficient reaches a preset matching coefficient threshold. The matching procedure of pressure detection and in-place detection is presented through the matching coefficient, so that pressure detection and in-place detection are considered in multiple detection points, and multiple detection methods are used to detect multiple detection points, and are applied to different dimensions.

[0120] refer to Figure 5 S14: Under the combined effect of pressure detection at multiple detection points and in-place detection, pressure parameters of multiple detection points are collected, and a pressure change graph of the underground pipeline is constructed according to the change amount of each pressure parameter and the position corresponding to each pressure parameter; a first abnormal area is defined based on the pressure change graph;

[0121] In the specific implementation process of the present invention, the specific steps may be:

[0122] S141: Performing pressure detection and in-place detection on multiple detection points, and defining the order of pressure detection and in-place detection based on the shape of the underground pipeline and the locations of the detection points;

[0123] S142: when the order of pressure detection takes precedence over in-position detection, pressure parameters of multiple detection points are collected;

[0124] S143: defining a change amount of a corresponding pressure parameter based on the pressure parameters of two adjacent detection points, and collecting the change amount of each pressure parameter;

[0125] S144: Associating the change amount of each pressure parameter and the position corresponding to each pressure parameter;

[0126] S145: constructing a pressure change diagram of the underground pipeline according to the change amount of each pressure parameter and the position corresponding to each pressure parameter;

[0127] S146: Freeze the pressure change graph, divide the pressure change graph into a plurality of pressure change regions, and define a first abnormal region according to the plurality of pressure change regions and the pressure abnormality mechanism.

[0128] In an embodiment of the present application, pressure detection and in-place detection are performed on multiple detection points, and the order of pressure detection and in-place detection is defined based on the shape of the underground pipeline and the locations of the detection points. The order of pressure detection and in-place detection is controlled to facilitate adaptation to the corresponding underground pipeline detection scenario.

[0129] When the order of pressure detection takes precedence over in-place detection, pressure parameters of multiple detection points are collected; the change in the corresponding pressure parameter is defined based on the pressure parameters of two adjacent detection points, and the change in each pressure parameter is collected, thereby introducing the change in each pressure parameter, and controlling the change in each pressure parameter is performed to facilitate presentation of the degree of change of each pressure parameter, and further processing the change in each pressure parameter.

[0130] Therefore, the change amount of each pressure parameter and the position corresponding to each pressure parameter are associated; a pressure change graph of the underground pipeline is constructed according to the change amount of each pressure parameter and the position corresponding to each pressure parameter; the pressure change graph is frozen, a plurality of pressure change areas are divided according to the pressure change graph, and a first abnormal area is defined according to the plurality of pressure change areas and the pressure abnormality mechanism, thereby making an overall consideration based on the plurality of pressure change areas and the pressure abnormality mechanism to ensure the accuracy of the first abnormal area. Optionally, the first abnormal area is mainly presented as an abnormal area at the pressure level, and the pressure abnormality mechanism matches the function and form of the underground pipeline.

[0131] refer to Figure 6 , S15: the pipe body detector moves along the corresponding underground pipeline; based on the pipe body detector, the pipe body image in the underground pipeline is collected, and a second abnormal area is defined according to the traversal of the pipe body image, and the defect type of the underground pipeline is defined based on the second abnormal area and the first abnormal area;

[0132] In the specific implementation process of the present invention, the specific steps may be:

[0133] S151: monitoring the progress of the pressure test under the combined effect of the pressure test at multiple test points and the in-place test;

[0134] S152: If the progress of the pressure detection reaches a preset progress threshold, in-place detection of multiple detection points is triggered. At this time, the detection points of the in-place detection and the detection points of the pressure detection do not overlap;

[0135] S153: real-time monitoring and in-place detection, at this time, the pipe body detector moves along the corresponding underground pipeline and passes through multiple detection points in sequence;

[0136] S154: collecting a pipe body image in the underground pipeline based on a pipe body detector;

[0137] S155: defining a plurality of abnormal features according to the traversal of the tube body image, and defining a second abnormal area according to the plurality of abnormal features and corresponding abnormal positions;

[0138] S156: Match the second abnormal area with the first abnormal area, define a corresponding abnormal matching coefficient, and define an influencing parameter of the defect type based on the abnormal matching coefficient; define the defect type of the underground pipeline based on the influencing parameter of the defect type, the second abnormal area, and the first abnormal area.

[0139] In an embodiment of the present application, under the joint action of pressure detection and in-place detection at multiple detection points, pressure parameters of multiple detection points are collected, and a pressure change graph of the underground pipeline is constructed based on the change amount of each pressure parameter and the position corresponding to each pressure parameter; a first abnormal area is defined based on the pressure change graph; the pipe body detector moves along the corresponding underground pipeline; based on the pipe body detector, a pipe body image in the underground pipeline is collected, and a second abnormal area is defined based on the traversal of the pipe body image, and the defect type of the underground pipeline is defined based on the second abnormal area and the first abnormal area, thereby performing multi-dimensional defect control on the second abnormal area and the first abnormal area, thereby ensuring the accuracy of the defect type of the underground pipeline.

[0140] At this time, under the joint action of pressure detection and in-place detection at multiple detection points, the progress of pressure detection is monitored to further control the progress of pressure detection, thereby dynamically triggering in-place detection. Therefore, if the progress of pressure detection reaches the preset progress threshold, the in-place detection of multiple detection points is triggered. At this time, the detection points performed by the in-place detection do not overlap with the detection points performed by the pressure detection, thereby ensuring dynamic control of in-place detection and pressure detection to avoid conflicts.

[0141] Real-time monitoring and on-site detection. At this time, the pipe body detector moves along the corresponding underground pipeline and passes through multiple detection points in sequence, so as to facilitate pipe body detection at multiple detection points and make full use of the dynamic movement and dynamic shooting of the pipe body detector.

[0142] Therefore, the image of the pipe body in the underground pipeline is collected based on the pipe body detector, so as to introduce the image of the pipe body in the underground pipeline, so as to further process the pipe body image. At the same time, multiple abnormal features are defined according to the traversal of the pipe body image, and a second abnormal area is defined according to the multiple abnormal features and the corresponding abnormal positions. At this time, multi-dimensional control is performed based on the multiple abnormal features and the corresponding abnormal positions to ensure the accuracy of the second abnormal area. Optionally, the second abnormal area is mainly presented as an abnormal area at the abnormal level of the pipe body's appearance.

[0143] Furthermore, the second abnormal area is matched with the first abnormal area, and a corresponding abnormal matching coefficient is defined to facilitate the management and control of the abnormal matching coefficient, and the corresponding matching degree is presented through the abnormal matching coefficient, and then the influencing parameters of the defect type are defined based on the abnormal matching coefficient; the defect type of the underground pipeline is defined based on the influencing parameters of the defect type, the second abnormal area and the first abnormal area, and the influencing parameters of the defect type, the second abnormal area and the first abnormal area are controlled in multiple dimensions to ensure the accuracy of the defect type of the underground pipeline.

[0144] refer to Figure 7 , S16: defining the defect level of the urban pipe network according to the locations of the multiple defect types and the corresponding defect types, triggering the defect optimization strategy according to the defect level of the urban pipe network and each defect type, dividing the multiple defect optimization matters based on the defect optimization strategy, and defining the priorities of the multiple defect optimization matters according to the multiple defect optimization matters, the functional levels of the multiple underground pipelines and the working status of the underground pipelines;

[0145] In the specific implementation process of the present invention, the specific steps may be:

[0146] S161: Collect defect types of multiple underground pipelines;

[0147] S162: Associating defect types of multiple underground pipelines, and marking locations of the multiple defect types;

[0148] S163: defining a defect level of the urban pipe network according to locations of the plurality of defect types, corresponding defect types, and corresponding functional levels of underground pipes;

[0149] S164: triggering defect optimization strategies according to the defect levels and defect types of the urban pipe network;

[0150] S165: dividing a plurality of defect optimization items based on the defect optimization strategy and the defect types of the plurality of underground pipelines;

[0151] S166: Associating multiple defect optimization items, functional levels of multiple underground pipelines, and working status of the underground pipelines;

[0152] S167: Defining priorities of the plurality of defect optimization items according to the plurality of defect optimization items, the functional levels of the plurality of underground pipelines, and the working status of the underground pipelines.

[0153] In the specific implementation process of the present invention, the defect level of the urban pipeline network is defined according to the locations of multiple defect types and the corresponding defect types, and the defect optimization strategy is triggered according to the defect level of the urban pipeline network and each defect type, so as to facilitate the overall control of the defect level and each defect type of the urban pipeline network, thereby ensuring the accuracy of the defect optimization strategy. At the same time, multiple defect optimization matters are divided based on the defect optimization strategy, and the priorities of multiple defect optimization matters are defined according to multiple defect optimization matters, the functional levels of multiple underground pipelines and the working status of the underground pipelines, thereby achieving orderly management and control of multiple defect optimization matters and ensuring the optimization efficiency and integrity of each defect in the urban pipeline network.

[0154] At this time, defect types of multiple underground pipelines are collected to facilitate control of the locations of the defect types. At the same time, the defect types of multiple underground pipelines are associated and the locations of the multiple defect types are marked, so as to perform overall management and control on the locations of the multiple defect types, the corresponding defect types and the corresponding functional levels of the underground pipelines, so as to define the defect level of the urban pipeline network according to the locations of the multiple defect types, the corresponding defect types and the corresponding functional levels of the underground pipelines, thereby realizing multi-dimensional control of the defect level of the urban pipeline network and ensuring the accuracy of the defect level of the urban pipeline network. Optionally, the defect level of the urban pipeline network has at least 8 defect levels, and each defect level corresponds to different defect degrees and contents.

[0155] Furthermore, the defect optimization strategy is triggered according to the defect level and each defect type of the urban pipeline network, so as to facilitate the overall control of the defect level and each defect type of the urban pipeline network. The defect level and each defect type of the urban pipeline network are controlled in multiple dimensions, which ensures the accuracy of the defect optimization strategy and realizes the precise optimization of the urban pipeline network by the defect optimization strategy.

[0156] Therefore, based on the defect optimization strategy and the defect types of multiple underground pipelines, multiple defect optimization items are divided; multiple defect optimization items, functional levels of multiple underground pipelines and the working status of underground pipelines are associated; and the priorities of multiple defect optimization items of the urban pipeline network are defined according to the multiple defect optimization items, functional levels of multiple underground pipelines and the working status of underground pipelines.

[0157] In an embodiment of the present invention, the method in the embodiment of the present invention is used to locate the detection area in the city, and define the corresponding urban pipe network according to the detection area and the corresponding water flow direction; multiple underground pipelines are divided based on the urban pipe network, and the integrity control of the urban pipe network is triggered for the in-place detection of the ends of the multiple underground pipelines to output a complete multiple underground pipelines; in each underground pipeline, multiple detection points are defined based on the locations of each underground pipeline and the liquid outlet, and pressure detection and in-place detection are triggered based on the multiple detection points, so as to facilitate overall management and control of multiple detection points in each underground pipeline, and pressure detection and in-place detection are compatible, so as to control each underground pipeline in multiple detection dimensions.

[0158] Furthermore, under the joint action of pressure detection at multiple detection points and in-place detection, pressure parameters of multiple detection points are collected, and a pressure change map of the underground pipeline is constructed according to the change amount of each pressure parameter and the position corresponding to each pressure parameter; a first abnormal area is defined based on the pressure change map; the pipe body detector moves along the corresponding underground pipeline; a pipe body image in the underground pipeline is collected based on the pipe body detector, and a second abnormal area is defined according to the traversal of the pipe body image, and the defect type of the underground pipeline is defined based on the second abnormal area and the first abnormal area, so that multi-dimensional defect control is performed on the second abnormal area and the first abnormal area, ensuring that the defect type of the underground pipeline is At the same time, the defect level of the urban pipeline network is defined according to the location of multiple defect types and the corresponding defect types, and the defect optimization strategy is triggered according to the defect level of the urban pipeline network and each defect type, so as to facilitate overall control of the defect level and each defect type of the urban pipeline network, thereby ensuring the accuracy of the defect optimization strategy. At the same time, multiple defect optimization matters are divided based on the defect optimization strategy, and the priorities of multiple defect optimization matters are defined according to multiple defect optimization matters, the functional levels of multiple underground pipelines and the working status of underground pipelines, thereby achieving orderly management and control of multiple defect optimization matters and ensuring the optimization efficiency and integrity of each defect in the urban pipeline network.

[0159] See also Figure 8 , Figure 8 It is a schematic diagram of the structural composition of a defect detection system for an urban pipe network in an embodiment of the present invention.

[0160] like Figure 8 As shown, a defect detection system for an urban pipe network, the defect detection system for an urban pipe network comprises:

[0161] A positioning module 21 is used to locate the detection area in the city and define the corresponding urban pipe network according to the detection area and the corresponding water flow direction;

[0162] The underground pipeline module 22 is used to divide the urban pipeline network into multiple underground pipelines, and trigger the integrity control of the urban pipeline network according to the in-place detection of the ends of the multiple underground pipelines, so as to output the complete multiple underground pipelines;

[0163] A detection module 23, for defining a plurality of detection points in each underground pipeline based on the location of each underground pipeline and the liquid discharge outlet, and triggering pressure detection and in-place detection based on the plurality of detection points;

[0164] The first abnormal module 24 is used to collect pressure parameters of multiple detection points under the joint action of pressure detection and in-place detection at multiple detection points, and construct a pressure change map of the underground pipeline according to the change amount of each pressure parameter and the position corresponding to each pressure parameter; define a first abnormal area based on the pressure change map;

[0165] The second abnormal module 25 is used for the pipe body detector to move along the corresponding underground pipeline; based on the pipe body detector to collect the pipe body image in the underground pipeline, and define the second abnormal area according to the traversal of the pipe body image, and define the defect type of the underground pipeline based on the second abnormal area and the first abnormal area;

[0166] The defect optimization module 26 is used to define the defect level of the urban pipeline network according to the locations of multiple defect types and the corresponding defect types, and trigger the defect optimization strategy according to the defect level of the urban pipeline network and each defect type, divide multiple defect optimization matters based on the defect optimization strategy, and define the priorities of multiple defect optimization matters according to multiple defect optimization matters, the functional levels of multiple underground pipelines and the working status of the underground pipelines.

[0167] See also Fig. 9 , refer to the following Fig. 9 The electronic device 40 according to this embodiment of the present invention will be described. Fig. 9 The electronic device 40 shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0168] like Fig. 9 As shown, the electronic device 40 is in the form of a general computing device. The components of the electronic device 40 may include but are not limited to: at least one processing unit 41, at least one storage unit 42, and a bus 43 connecting different system components (including the storage unit 42 and the processing unit 41).

[0169] The storage unit stores program codes, which can be executed by the processing unit 41, so that the processing unit 41 executes the steps according to various exemplary embodiments of the present invention described in the above “Embodiment Method” section of this specification.

[0170] The storage unit 42 may include a readable medium in the form of a volatile storage unit, such as a random access memory unit (RAM) 421 and / or a cache memory unit 422 , and may further include a read-only memory unit (ROM) 423 .

[0171] The storage unit 42 may also include a program / utility 424 having a set (at least one) of program modules 425, such program modules 425 including but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment.

[0172] Bus 43 may represent one or more of several types of bus structures, including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.

[0173] The electronic device 40 may also communicate with one or more external devices (e.g., keyboards, pointing devices, Bluetooth devices, etc.), one or more devices that enable a user to interact with the electronic device 40, and / or any device that enables the electronic device 40 to communicate with one or more other computing devices (e.g., routers, modems, etc.). Such communication may be performed via an input / output (I / O) interface 44. Furthermore, the electronic device 40 may also communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) via a network adapter 45. Fig. 9 As shown, the network adapter 45 communicates with other modules of the electronic device 40 via the bus 43. It should be understood that although Fig. 9 Not shown, other hardware and / or software modules may be used in conjunction with the electronic device 40, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup planning systems.

[0174] Through the description of the above implementation, it is easy for those skilled in the art to understand that the example implementation described here can be implemented by software, or by software combined with necessary hardware. Therefore, the technical solution according to the implementation of the present disclosure can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, and includes a number of instructions to enable a computing device (which can be a personal computer, a server, a terminal device, or a network device, etc.) to execute the method according to the implementation of the present disclosure.

[0175] Those skilled in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium, and the storage medium can include: a read-only memory (ROM), a random access memory (RAM), a disk or an optical disk, etc. In addition, it stores computer program instructions, and when the computer program instructions are executed by a computer, the computer executes the above method.

[0176] In addition, the above describes in detail the defect detection method and system for the urban pipeline network provided by the embodiments of the present invention. Specific examples are used herein to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. At the same time, for those skilled in the art, according to the ideas of the present invention, there will be changes in the specific implementation methods and application scopes. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A defect detection method for an urban pipe network, characterized in that: Applied to defect detection scenarios in urban pipe networks; The defect detection method of the urban pipe network comprises: Locate the detection area in the city, and define the corresponding urban pipe network according to the detection area and the corresponding water flow direction; Divide the urban pipeline network into multiple underground pipelines, and trigger integrity control of the urban pipeline network based on the in-place detection of the ends of the multiple underground pipelines, so as to output the complete multiple underground pipelines; In each underground pipeline, multiple detection points are defined based on the locations of each underground pipeline and the liquid discharge outlet, and pressure detection and in-place detection are triggered based on the multiple detection points; Under the joint action of pressure detection at multiple detection points and in-place detection, pressure parameters of multiple detection points are collected, and a pressure change map of the underground pipeline is constructed according to the change amount of each pressure parameter and the position corresponding to each pressure parameter; a first abnormal area is defined based on the pressure change map; The pipe body detector moves along the corresponding underground pipeline; based on the pipe body detector, a pipe body image in the underground pipeline is collected, and a second abnormal area is defined according to the traversal of the pipe body image, and a defect type of the underground pipeline is defined based on the second abnormal area and the first abnormal area; The defect levels of the urban pipeline network are defined according to the locations of multiple defect types and the corresponding defect types, and the defect optimization strategy is triggered according to the defect levels of the urban pipeline network and each defect type. Multiple defect optimization matters are divided based on the defect optimization strategy, and the priorities of multiple defect optimization matters are defined according to the multiple defect optimization matters, the functional levels of multiple underground pipelines and the working status of the underground pipelines.

2. The method for detecting defects in urban pipe networks according to claim 1, characterized in that: The method of locating the detection area in the city and defining the corresponding urban pipe network according to the detection area and the corresponding water flow direction includes: Collect pipeline signals in the city, and define detection information based on signal analysis of the pipeline signals in the city; Define the detection area in the city according to the detection information, and perform real-time positioning for the detection area in the city; Traversing the detection area, and defining the corresponding underground space according to the traversal of the detection area; Associating underground spaces and corresponding water flow directions, and defining a primary urban pipe network based on the underground spaces and corresponding water flow directions; The final urban pipe network is defined based on the primary urban pipe network, the location of the detection area and the pipeline distribution map of the city.

3. The method for detecting defects in urban pipe networks according to claim 2, characterized in that: The method of dividing the multiple underground pipelines based on the urban pipeline network and triggering the integrity control of the urban pipeline network according to the in-place detection of the ends of the multiple underground pipelines to output the complete multiple underground pipelines includes: Fixed-frame urban pipe network; Divide a plurality of underground pipelines based on the hierarchical arrangement of the urban pipeline network and underground pipelines; Traverse multiple underground pipelines, mark the ends of the underground pipelines, and trigger corresponding in-place detection based on the ends of the underground pipelines; defining a state of an end of the underground utility line based on the detection of the end of the underground utility line being in position; If the state of the end of the underground pipeline is an incomplete state, an incomplete mark is performed on the end of the underground pipeline, and the integrity control of the urban pipeline network is triggered based on multiple incomplete marks; In the integrity control of the urban pipeline network, an incomplete pipeline is defined based on the incomplete mark and the corresponding underground pipeline, and the supplementary pipeline part is determined according to the incomplete pipeline and the corresponding extension direction. The underground pipeline in a complete state is constructed based on the incomplete pipeline and the supplementary pipeline part to output multiple complete underground pipelines.

4. The method for detecting defects in urban pipe networks according to claim 3, characterized in that: In each underground pipeline, a plurality of detection points are defined based on the locations of each underground pipeline and the liquid outlet, and pressure detection and in-place detection are triggered based on the plurality of detection points, including: For each underground pipeline, the length and shape of the underground pipeline are collected; Define a corresponding traversal mode according to the length and shape of the underground pipeline; Traverse the underground pipeline along the traversal pattern and mark each liquid discharge outlet; Defining multiple detection points based on the locations of various underground pipelines and liquid discharge outlets; Trigger the distribution optimization of the detection points according to the locations of the multiple detection points and the shapes of the underground pipelines, and output the final multiple detection points; Pressure detection and in-place detection are triggered based on multiple detection points, pressure detection and in-place detection are associated in the same detection point, and a matching coefficient is defined based on the matching of pressure detection and in-place detection, and the matching coefficient reaches a preset matching coefficient threshold.

5. The method for detecting defects in urban pipe networks according to claim 4, characterized in that: Under the combined effect of pressure detection at multiple detection points and in-place detection, pressure parameters of multiple detection points are collected, and a pressure change diagram of the underground pipeline is constructed according to the change amount of each pressure parameter and the position corresponding to each pressure parameter; Defining a first abnormal area based on the pressure change map includes: Perform pressure detection and in-place detection on multiple detection points, and define the order of pressure detection and in-place detection based on the shape of the underground pipeline and the location of the detection points; When the pressure test takes precedence over the in-place test, the pressure parameters of multiple test points are collected; Defining the corresponding pressure parameter variation based on the pressure parameters of two adjacent detection points, and collecting the variation of each pressure parameter; Associating the change amount of each pressure parameter and the position corresponding to each pressure parameter; Constructing a pressure change diagram of the underground pipeline according to the change amount of each pressure parameter and the position corresponding to each pressure parameter; The pressure change graph is frozen, a plurality of pressure change regions are divided according to the pressure change graph, and a first abnormal region is defined according to the plurality of pressure change regions and the pressure abnormality mechanism.

6. The method for detecting defects in urban pipe networks according to claim 5, characterized in that: The pipe body detector moves along the corresponding underground pipeline; based on the pipe body detector, a pipe body image in the underground pipeline is collected, and a second abnormal area is defined according to the traversal of the pipe body image; based on the second abnormal area and the first abnormal area, a defect type of the underground pipeline is defined, including: Monitor the progress of pressure testing through the combined effects of pressure testing at multiple testing points and in-place testing; If the progress of the pressure test reaches the preset progress threshold, the in-place test of multiple test points is triggered. At this time, the test points of the in-place test and the test points of the pressure test do not overlap; Real-time monitoring and in-place detection, at this time, the pipe detector moves along the corresponding underground pipeline and passes through multiple detection points in sequence.

7. The method for detecting defects in urban pipe networks according to claim 6, characterized in that: The pipe body detector moves along the corresponding underground pipeline; based on the pipe body detector, a pipe body image in the underground pipeline is collected, and a second abnormal area is defined according to the traversal of the pipe body image, and the defect type of the underground pipeline is defined based on the second abnormal area and the first abnormal area, and further includes: Collect pipe body images in underground pipelines based on pipe body detectors; Defining a plurality of abnormal features according to the traversal of the tube body image, and defining a second abnormal area according to the plurality of abnormal features and corresponding abnormal positions; The second abnormal area is matched with the first abnormal area, and a corresponding abnormal matching coefficient is defined. The influencing parameter of the defect type is defined based on the abnormal matching coefficient. The defect type of the underground pipeline is defined based on the influencing parameter of the defect type, the second abnormal area and the first abnormal area.

8. The method for detecting defects in urban pipe networks according to claim 7, characterized in that: The method defines the defect level of the urban pipe network according to the locations of the multiple defect types and the corresponding defect types, triggers the defect optimization strategy according to the defect level of the urban pipe network and each defect type, divides the multiple defect optimization items based on the defect optimization strategy, and defines the priorities of the multiple defect optimization items according to the multiple defect optimization items, the functional levels of the multiple underground pipelines and the working status of the underground pipelines, including: Collect defect types of multiple underground pipelines; Associate multiple underground pipeline defect types and mark the locations of multiple defect types; Defining the defect level of the urban pipeline network according to the locations of multiple defect types, the corresponding defect types and the functional level of the corresponding underground pipelines; The defect optimization strategy is triggered according to the defect level of the urban pipeline network and the types of defects.

9. The method for detecting defects in urban pipe networks according to claim 8, characterized in that: The method further includes: defining the defect level of the urban pipe network according to the locations of the multiple defect types and the corresponding defect types, triggering the defect optimization strategy according to the defect level of the urban pipe network and each defect type, dividing the multiple defect optimization items based on the defect optimization strategy, and defining the priorities of the multiple defect optimization items according to the multiple defect optimization items, the functional levels of the multiple underground pipelines and the working status of the underground pipelines, and further includes: Divide multiple defect optimization items based on defect optimization strategy and defect types of multiple underground pipelines; Associating multiple defect optimization items, functional levels of multiple underground pipelines, and the working status of underground pipelines; Priorities of the plurality of defect optimization items are defined according to the plurality of defect optimization items, the functional levels of the plurality of underground pipelines, and the working status of the underground pipelines.

10. A defect detection system for an urban pipe network, characterized in that: The defect detection system of the urban pipe network is applied to the defect detection method of the urban pipe network as claimed in any one of claims 1 to 9, and the defect detection system of the urban pipe network comprises: The positioning module is used to locate the detection area in the city and define the corresponding urban pipe network according to the detection area and the corresponding water flow direction; An underground pipeline module is used to divide multiple underground pipelines based on the urban pipeline network, and trigger the integrity control of the urban pipeline network according to the in-place detection of the ends of the multiple underground pipelines, so as to output the complete multiple underground pipelines; A detection module is used to define multiple detection points in each underground pipeline based on the location of each underground pipeline and the liquid discharge outlet, and trigger pressure detection and in-place detection based on the multiple detection points; The first abnormal module is used to collect pressure parameters of multiple detection points under the joint action of pressure detection and in-place detection at multiple detection points, and construct a pressure change map of the underground pipeline according to the change amount of each pressure parameter and the position corresponding to each pressure parameter; define a first abnormal area based on the pressure change map; A second abnormal module is used for the pipe body detector to move along the corresponding underground pipeline; based on the pipe body detector, the pipe body image in the underground pipeline is collected, and a second abnormal area is defined according to the traversal of the pipe body image, and the defect type of the underground pipeline is defined based on the second abnormal area and the first abnormal area; The defect optimization module is used to define the defect level of the urban pipeline network according to the locations of multiple defect types and the corresponding defect types, and trigger the defect optimization strategy according to the defect level of the urban pipeline network and each defect type, divide multiple defect optimization items based on the defect optimization strategy, and define the priorities of multiple defect optimization items according to multiple defect optimization items, the functional levels of multiple underground pipelines and the working status of the underground pipelines.

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