Intelligent monitoring method and system for underground pipe network based on optical fiber sensing

Abstract

This invention discloses an intelligent monitoring method and system for underground pipe networks based on fiber optic sensing. A multi-dimensional monitoring system is constructed for the monitoring space based on corresponding fiber optic sensors, camera modules, and sound modules. Anomaly nodes are identified based on multiple monitoring parameters at each monitoring point, ensuring the accuracy of the multi-dimensional monitoring system and the precision of intelligent monitoring of the underground pipe network. Anomaly locations are re-examined by comparing multiple parameters matched by fixed-point monitoring and multiple parameters matched by peripheral monitoring, and corresponding control logic is triggered based on these anomaly locations. Anomaly combinations are constructed based on multiple monitoring parameters corresponding to the anomaly locations, and the anomaly type is determined based on the identification of the anomaly combinations. Intelligent control of the underground pipe network is triggered based on the anomaly type and the corresponding control logic, ensuring the effectiveness of intelligent control of the underground pipe network and achieving precise control of anomaly locations.

Description

Technical Field

[0001] The present invention relates to the technical field of underground pipe networks, and in particular to an intelligent monitoring method and system for underground pipe networks based on optical fiber sensing. Background Art

[0002] With the development of science and technology, underground pipelines are used in cities and are used to supply fluid flow. The underground pipelines are located below the surface. In the existing technology, the underground pipelines are inspected and multi-point inspections are performed on the entrances and outlets of the underground pipelines. However, it is impossible to control the abnormal nodes of the underground pipelines, which affects the multi-dimensional inspection of the underground pipelines and cannot guarantee the intelligent control effect of the 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 an intelligent monitoring method and system for an underground pipeline network based on optical fiber sensing, which collects the monitoring area of ​​the underground pipeline network; divides a plurality of monitoring spaces based on the monitoring area of ​​the underground pipeline network; constructs a multi-dimensional monitoring system of the monitoring space based on corresponding optical fiber sensors, camera modules and sound modules; in the multi-dimensional monitoring system of the monitoring space, the corresponding abnormal nodes are determined according to multiple monitoring parameters of each spatial monitoring point, the overall consideration of the optical fiber sensors, camera modules and sound modules is compatible, and the multi-dimensional monitoring of the optical fiber sensors, camera modules and sound modules is realized, thereby ensuring the accuracy of the multi-dimensional monitoring system and the accuracy of the intelligent monitoring of the underground pipeline network.

[0004] Furthermore, the abnormal position corresponding to the abnormal node is collected, and fixed-point monitoring and surrounding monitoring are triggered for the abnormal position. The abnormal position is rechecked based on the comparison determined by multiple parameters matched by the fixed-point monitoring and multiple parameters matched by the surrounding monitoring, and the corresponding control logic is triggered based on the abnormal position; a corresponding abnormal combination is constructed based on the multiple monitoring parameters corresponding to the abnormal position, and the corresponding abnormal type is determined according to the identification of the abnormal combination, and the intelligent control of the underground pipeline network is triggered based on the abnormal type and the corresponding control logic, thereby realizing dynamic monitoring of the underground pipeline network and real-time control of abnormalities, ensuring the intelligent control effect of the underground pipeline network, realizing accurate control of the abnormal position, and making full use of fixed-point monitoring and surrounding monitoring.

[0005] The embodiment of the present invention provides an intelligent monitoring method for an underground pipe network based on optical fiber sensing, which is characterized by being applied to an intelligent monitoring scenario for an underground pipe network based on optical fiber sensing;

[0006] The intelligent monitoring method of the underground pipe network based on optical fiber sensing comprises:

[0007] Collect monitoring areas of underground pipe networks;

[0008] Divide the monitoring area of ​​the underground pipe network into multiple monitoring spaces;

[0009] Construct a multi-dimensional monitoring system for the monitoring space based on corresponding optical fiber sensors, camera modules and sound modules;

[0010] In the multi-dimensional monitoring system of the monitoring space, the corresponding abnormal nodes are determined according to the multiple monitoring parameters of each spatial monitoring point;

[0011] The abnormal position corresponding to the abnormal node is collected, and fixed-point monitoring and peripheral monitoring are triggered for the abnormal position. The abnormal position is rechecked according to the comparison determined by the multiple parameters matched by the fixed-point monitoring and the multiple parameters matched by the peripheral monitoring, and the corresponding control logic is triggered based on the abnormal position;

[0012] Based on multiple monitoring parameters corresponding to the abnormal position, a corresponding abnormal combination is constructed, and the corresponding abnormal type is determined according to the identification of the abnormal combination. Based on the abnormal type and the corresponding control logic, intelligent control of the underground pipe network is triggered.

[0013] Optionally, the monitoring area for collecting underground pipe network data includes:

[0014] Collect the location of underground pipe network;

[0015] Determine the corresponding traversal space according to the location of the underground pipe network and the length of the underground pipe network;

[0016] Building a three-dimensional model of the underground pipe network based on the online traversal of the traversal space;

[0017] Collecting fluid parameters relative to the underground pipe network, associating the fluid parameters with a three-dimensional model of the underground pipe network, and constructing a dynamic schematic diagram of the underground pipe network based on the fluid parameters and the three-dimensional model of the underground pipe network;

[0018] The monitoring area of ​​the underground pipe network is determined according to the dynamic schematic diagram of the underground pipe network, the dynamic changes of the fluid parameters and the branch positions of the underground pipe network to collect the monitoring area of ​​the underground pipe network.

[0019] Optionally, the monitoring area based on the underground pipe network is divided into a plurality of monitoring spaces, including:

[0020] Determine the monitoring area of ​​the underground pipe network;

[0021] Associate the monitoring area of ​​the underground pipe network, the load corresponding to the underground pipe network, and the corresponding form of the underground pipe network;

[0022] Determining a first space coefficient according to a monitoring area of ​​the underground pipe network and a load corresponding to the underground pipe network;

[0023] Determine the second space coefficient according to the monitoring area of ​​the underground pipe network and the corresponding form of the underground pipe network;

[0024] Dynamically interacting the second spatial coefficient, the first spatial coefficient, and the spatial matching table;

[0025] A plurality of monitoring spaces are divided based on the dynamic interaction of the second space coefficient, the first space coefficient and the space matching table.

[0026] Optionally, the multi-dimensional monitoring system of the monitoring space is constructed based on the corresponding optical fiber sensor, camera module and sound module, including:

[0027] Freeze each monitoring space;

[0028] In each monitoring space, multiple spatial monitoring points are constructed based on the form of the monitoring space, the three-dimensional model of the monitoring space, and the amount of fluid activity corresponding to the monitoring space;

[0029] Triggering dynamic matching of optical fiber sensors, camera modules and sound modules according to multiple spatial monitoring points, corresponding positions and corresponding monitoring angles;

[0030] Control fiber optic sensors, camera modules, and sound modules in each monitoring space;

[0031] Associating optical fiber sensors, camera modules, and sound modules;

[0032] A multi-dimensional monitoring system for the monitoring space is constructed based on the corresponding fiber optic sensors, camera modules and sound modules.

[0033] Optionally, in the multi-dimensional monitoring system of the monitoring space, determining corresponding abnormal nodes according to multiple monitoring parameters of each spatial monitoring point includes:

[0034] Freeze the multi-dimensional monitoring system of the monitoring space;

[0035] The multi-dimensional monitoring system based on the monitoring space dynamically controls the corresponding monitoring space;

[0036] Monitor the working status of each space monitoring point according to the dynamic control of the monitoring space;

[0037] Collect multiple monitoring parameters of each spatial monitoring point, and construct a monitoring parameter combination of the corresponding spatial monitoring point based on the multiple monitoring parameters;

[0038] Associate multiple monitoring parameter combinations;

[0039] Based on the synchronous identification of multiple monitoring parameter combinations, the corresponding spatial features are determined, and the corresponding abnormal features are determined according to the multiple spatial features, the abnormal matching table and the corresponding monitoring space, and the corresponding abnormal nodes are determined by tracing the abnormal features.

[0040] Optionally, the collecting of the abnormal position corresponding to the abnormal node, triggering fixed-point monitoring and peripheral monitoring of the abnormal position, rechecking the abnormal position according to a comparison determined by a plurality of parameters matched by the fixed-point monitoring and a plurality of parameters matched by the peripheral monitoring, and triggering a corresponding control logic based on the abnormal position, includes:

[0041] Freeze the abnormal node;

[0042] Collect the abnormal position corresponding to the abnormal node;

[0043] The positioning range of the abnormal position and the surrounding range of the abnormal position are determined based on the abnormal position and the monitoring space.

[0044] Optionally, the collecting of the abnormal position corresponding to the abnormal node, triggering fixed-point monitoring and peripheral monitoring of the abnormal position, rechecking the abnormal position according to a comparison determined by a plurality of parameters matched by the fixed-point monitoring and a plurality of parameters matched by the peripheral monitoring, and triggering a corresponding control logic based on the abnormal position, further includes:

[0045] In the positioning range of the abnormal position, fixed-point monitoring is triggered for the abnormal position, and at the same time, in the surrounding range of the abnormal position, surrounding monitoring is triggered for the abnormal position;

[0046] Collect multiple parameters matched by fixed-point monitoring and multiple parameters matched by peripheral monitoring, and recheck the abnormal position according to the comparison determined by the multiple parameters matched by fixed-point monitoring and multiple parameters matched by peripheral monitoring;

[0047] The corresponding control logic is triggered based on the abnormal location, the corresponding monitoring space and the corresponding function.

[0048] Optionally, the method constructs a corresponding abnormal combination based on multiple monitoring parameters corresponding to the abnormal position, determines a corresponding abnormal type according to the identification of the abnormal combination, and triggers intelligent regulation of the underground pipe network based on the abnormal type and the corresponding regulation logic, including:

[0049] Freeze the abnormal position and monitor it in real time;

[0050] Collect multiple monitoring parameters corresponding to the abnormal location;

[0051] A corresponding abnormal combination is constructed based on multiple monitoring parameters corresponding to the abnormal location.

[0052] Optionally, the method of constructing a corresponding abnormal combination based on multiple monitoring parameters corresponding to the abnormal position, determining a corresponding abnormal type according to the identification of the abnormal combination, and triggering intelligent regulation of the underground pipe network based on the abnormal type and the corresponding regulation logic, further includes:

[0053] Determine the corresponding abnormal type according to the identification of the abnormal combination;

[0054] Determine a control list based on the abnormality type and the corresponding control logic;

[0055] The underground pipe network is intelligently regulated along each regulation measure in the regulation list. At this time, the underground pipe network is synchronously regulated under each regulation measure, which does not affect the dynamic control of the fluid by the underground pipe network.

[0056] In addition, an embodiment of the present invention further provides an intelligent monitoring system for an underground pipe network based on optical fiber sensing, and the intelligent monitoring system for an underground pipe network based on optical fiber sensing includes:

[0057] The acquisition module is used to collect the monitoring area of ​​the underground pipe network;

[0058] The monitoring space module is used to divide multiple monitoring spaces based on the monitoring area of ​​the underground pipe network;

[0059] A monitoring system module, used to construct a multi-dimensional monitoring system for the monitoring space based on corresponding optical fiber sensors, camera modules and sound modules;

[0060] An abnormal node module is used to determine the corresponding abnormal node according to multiple monitoring parameters of each spatial monitoring point in the multi-dimensional monitoring system of the monitoring space;

[0061] A control logic module is used to collect the abnormal position corresponding to the abnormal node, trigger fixed-point monitoring and peripheral monitoring for the abnormal position, recheck the abnormal position according to the comparison determined by the multiple parameters matched by the fixed-point monitoring and the multiple parameters matched by the peripheral monitoring, and trigger the corresponding control logic based on the abnormal position;

[0062] The intelligent control module is used to construct a corresponding abnormal combination based on multiple monitoring parameters corresponding to the abnormal position, and determine the corresponding abnormal type according to the identification of the abnormal combination, and trigger the intelligent control of the underground pipeline network based on the abnormal type and the corresponding control logic.

[0063] In an embodiment of the present invention, through the method in the embodiment of the present invention, the monitoring area of ​​the underground pipeline network is collected; a plurality of monitoring spaces are divided based on the monitoring area of ​​the underground pipeline network; a multi-dimensional monitoring system of the monitoring space is constructed based on the corresponding optical fiber sensor, camera module and sound module; in the multi-dimensional monitoring system of the monitoring space, the corresponding abnormal nodes are determined according to the multiple monitoring parameters of each spatial monitoring point, the overall consideration of the optical fiber sensor, camera module and sound module is compatible, and the multi-dimensional monitoring of the optical fiber sensor, camera module and sound module is realized, thereby ensuring the accuracy of the multi-dimensional monitoring system and the accuracy of the intelligent monitoring of the underground pipeline network.

[0064] Furthermore, the abnormal position corresponding to the abnormal node is collected, and fixed-point monitoring and surrounding monitoring are triggered for the abnormal position. The abnormal position is rechecked based on the comparison determined by multiple parameters matched by the fixed-point monitoring and multiple parameters matched by the surrounding monitoring, and the corresponding control logic is triggered based on the abnormal position; a corresponding abnormal combination is constructed based on the multiple monitoring parameters corresponding to the abnormal position, and the corresponding abnormal type is determined according to the identification of the abnormal combination, and the intelligent control of the underground pipeline network is triggered based on the abnormal type and the corresponding control logic, thereby realizing dynamic monitoring of the underground pipeline network and real-time control of abnormalities, ensuring the intelligent control effect of the underground pipeline network, realizing accurate control of the abnormal position, and making full use of fixed-point monitoring and surrounding monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] 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.

[0066] Figure 1 is a flow chart of an intelligent monitoring method for an underground pipe network based on optical fiber sensing in an embodiment of the present invention;

[0067] Figure 2 is a flow chart of S11 in the intelligent monitoring method for underground pipe network based on optical fiber sensing in an embodiment of the present invention;

[0068] Figure 3 is a flow chart of S12 in the intelligent monitoring method for underground pipe network based on optical fiber sensing in an embodiment of the present invention;

[0069] Figure 4 is a flow chart of S13 in the intelligent monitoring method for underground pipe network based on optical fiber sensing in an embodiment of the present invention;

[0070] Figure 5is a flow chart of S14 in the intelligent monitoring method for underground pipe network based on optical fiber sensing in an embodiment of the present invention;

[0071] Figure 6 is a flow chart of S15 in the intelligent monitoring method for underground pipe network based on optical fiber sensing in an embodiment of the present invention;

[0072] Figure 7 is a flow chart of S16 in the intelligent monitoring method for underground pipe network based on optical fiber sensing in an embodiment of the present invention;

[0073] Figure 8 Schematic diagram of the structure of an intelligent monitoring system for underground pipe networks based on optical fiber sensing in an embodiment of the present invention;

[0074] Fig. 9 The figure is a hardware diagram of an electronic device according to an exemplary embodiment. DETAILED DESCRIPTION

[0075] 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.

[0076] See also Figures 1 to 9 , an intelligent monitoring method for underground pipe network based on optical fiber sensing, applied to the intelligent monitoring scenario of underground pipe network based on optical fiber sensing; the intelligent monitoring method for underground pipe network based on optical fiber sensing includes:

[0077] Step S11: collecting the monitoring area of ​​the underground pipe network;

[0078] Step S12: dividing a plurality of monitoring spaces based on the monitoring area of ​​the underground pipe network;

[0079] Step S13: constructing a multi-dimensional monitoring system of the monitoring space based on corresponding optical fiber sensors, camera modules and sound modules;

[0080] Step S14: in the multi-dimensional monitoring system of the monitoring space, determining the corresponding abnormal node according to the multiple monitoring parameters of each spatial monitoring point;

[0081] Step S15: collecting the abnormal position corresponding to the abnormal node, triggering fixed-point monitoring and peripheral monitoring for the abnormal position, rechecking the abnormal position according to the comparison determined by the multiple parameters matched by the fixed-point monitoring and the multiple parameters matched by the peripheral monitoring, and triggering the corresponding control logic based on the abnormal position;

[0082] Step S16: construct a corresponding abnormal combination based on multiple monitoring parameters corresponding to the abnormal position, and determine the corresponding abnormal type according to the identification of the abnormal combination, and trigger the intelligent control of the underground pipe network based on the abnormal type and the corresponding control logic.

[0083] In an embodiment of the present invention, through the method in the embodiment of the present invention, the monitoring area of ​​the underground pipeline network is collected; a plurality of monitoring spaces are divided based on the monitoring area of ​​the underground pipeline network; a multi-dimensional monitoring system of the monitoring space is constructed based on the corresponding optical fiber sensor, camera module and sound module; in the multi-dimensional monitoring system of the monitoring space, the corresponding abnormal nodes are determined according to the multiple monitoring parameters of each spatial monitoring point, the overall consideration of the optical fiber sensor, camera module and sound module is compatible, and the multi-dimensional monitoring of the optical fiber sensor, camera module and sound module is realized, thereby ensuring the accuracy of the multi-dimensional monitoring system and the accuracy of the intelligent monitoring of the underground pipeline network.

[0084] Furthermore, the abnormal position corresponding to the abnormal node is collected, and fixed-point monitoring and surrounding monitoring are triggered for the abnormal position. The abnormal position is rechecked based on the comparison determined by multiple parameters matched by the fixed-point monitoring and multiple parameters matched by the surrounding monitoring, and the corresponding control logic is triggered based on the abnormal position; a corresponding abnormal combination is constructed based on the multiple monitoring parameters corresponding to the abnormal position, and the corresponding abnormal type is determined according to the identification of the abnormal combination, and the intelligent control of the underground pipeline network is triggered based on the abnormal type and the corresponding control logic, thereby realizing dynamic monitoring of the underground pipeline network and real-time control of abnormalities, ensuring the intelligent control effect of the underground pipeline network, realizing accurate control of the abnormal position, and making full use of fixed-point monitoring and surrounding monitoring.

[0085] refer to Figure 2 , in step S11, the monitoring area of ​​the underground pipe network is collected;

[0086] In the specific implementation process of the present invention, the specific steps may be:

[0087] S111: collect the location of underground pipe network;

[0088] S112: Determine a corresponding traversal space according to the location of the underground pipe network and the length of the underground pipe network;

[0089] S113: constructing a three-dimensional model of the underground pipe network based on the online traversal of the traversal space;

[0090] S114: collecting fluid parameters relative to the underground pipe network, associating the fluid parameters with a three-dimensional model of the underground pipe network, and constructing a dynamic schematic diagram of the underground pipe network according to the fluid parameters and the three-dimensional model of the underground pipe network;

[0091] S115: Determine the monitoring area of ​​the underground pipe network according to the dynamic schematic diagram of the underground pipe network, the dynamic changes of the fluid parameters and the branch positions of the underground pipe network to collect the monitoring area of ​​the underground pipe network.

[0092] In an embodiment of the present application, the location of the underground pipeline network is collected and controlled, so as to determine the corresponding traversal space according to the location of the underground pipeline network and the length of the underground pipeline network. The location of the underground pipeline network and the length of the underground pipeline network are introduced, and the location of the underground pipeline network and the length of the underground pipeline network are controlled in multiple dimensions to ensure the accuracy of the traversal space.

[0093] Furthermore, a three-dimensional model of the underground pipe network is constructed based on the online traversal of the traversal space; fluid parameters relative to the underground pipe network are collected, the fluid parameters and the three-dimensional model of the underground pipe network are associated, and a dynamic schematic diagram of the underground pipe network is constructed according to the fluid parameters and the three-dimensional model of the underground pipe network, thereby realizing dynamic interaction between the fluid parameters and the three-dimensional model of the underground pipe network and realizing the construction of a dynamic schematic diagram of the underground pipe network.

[0094] Therefore, the monitoring area of ​​the underground pipeline network is determined according to the dynamic schematic diagram of the underground pipeline network, the dynamic changes of the fluid parameters and the branch positions of the underground pipeline network, so as to collect the monitoring area of ​​the underground pipeline network, thereby realizing the management and control of the monitoring area of ​​the underground pipeline network. The dynamic schematic diagram of the underground pipeline network, the dynamic changes of the fluid parameters and the branch positions of the underground pipeline network are used to carry out multi-dimensional control, thereby ensuring the rationality and accuracy of the monitoring area of ​​the underground pipeline network.

[0095] refer to Figure 3 , in step S12, a plurality of monitoring spaces are divided based on the monitoring area of ​​the underground pipe network;

[0096] In the specific implementation process of the present invention, the specific steps may be:

[0097] S121: Fixed monitoring area of ​​underground pipe network;

[0098] S122: Associating the monitoring area of ​​the underground pipe network, the load corresponding to the underground pipe network, and the form corresponding to the underground pipe network;

[0099] S123: determining a first space coefficient according to the monitoring area of ​​the underground pipe network and the load corresponding to the underground pipe network;

[0100] S124: determining a second space coefficient according to the monitoring area of ​​the underground pipe network and the shape corresponding to the underground pipe network;

[0101] S125: Dynamically interacting the second spatial coefficient, the first spatial coefficient, and the spatial matching table;

[0102] S126: Divide a plurality of monitoring spaces based on dynamic interaction of the second space coefficient, the first space coefficient, and the space matching table.

[0103] In an embodiment of the present application, the monitoring area of ​​the underground pipeline network is fixed; the monitoring area of ​​the underground pipeline network, the load corresponding to the underground pipeline network, and the form corresponding to the underground pipeline network are associated, and the monitoring area of ​​the underground pipeline network, the load corresponding to the underground pipeline network, and the form corresponding to the underground pipeline network are introduced to perform multi-dimensional control on the monitoring area of ​​the underground pipeline network, the load corresponding to the underground pipeline network, and the form corresponding to the underground pipeline network.

[0104] Furthermore, the first spatial coefficient is determined according to the monitoring area of ​​the underground pipeline network and the load corresponding to the underground pipeline network, which is compatible with the overall consideration of the monitoring area of ​​the underground pipeline network and the load corresponding to the underground pipeline network, realizes the multi-dimensional control of the monitoring area of ​​the underground pipeline network and the load corresponding to the underground pipeline network, and ensures the accuracy of the first spatial coefficient.

[0105] At the same time, the second spatial coefficient is determined according to the monitoring area of ​​the underground pipeline network and the corresponding form of the underground pipeline network, which is compatible with the overall consideration of the monitoring area of ​​the underground pipeline network and the corresponding form of the underground pipeline network, realizes the multi-dimensional control of the monitoring area of ​​the underground pipeline network and the corresponding form of the underground pipeline network, and ensures the accuracy of the second spatial coefficient.

[0106] Therefore, the second space coefficient, the first space coefficient and the space matching table are dynamically interacted; multiple monitoring spaces are divided based on the dynamic interaction of the second space coefficient, the first space coefficient and the space matching table, thereby realizing the dynamic interaction of the second space coefficient, the first space coefficient and the space matching table, thereby ensuring the rationality and accuracy of multiple monitoring spaces.

[0107] refer to Figure 4 In step S13, a multi-dimensional monitoring system of the monitoring space is constructed based on the corresponding optical fiber sensor, camera module and sound module;

[0108] In the specific implementation process of the present invention, the specific steps may be:

[0109] S131: freeze each monitoring space;

[0110] S132: In each monitoring space, a plurality of spatial monitoring points are constructed based on the form of the monitoring space, the three-dimensional model of the monitoring space, and the amount of fluid activity corresponding to the monitoring space;

[0111] S133: triggering dynamic matching of the optical fiber sensor, the camera module, and the sound module according to the plurality of spatial monitoring points, the corresponding positions, and the corresponding monitoring angles;

[0112] S134: Controlling the optical fiber sensor, the camera module, and the sound module in each monitoring space;

[0113] S135: Associating the optical fiber sensor, the camera module, and the sound module;

[0114] S136: Construct a multi-dimensional monitoring system for the monitoring space according to the corresponding optical fiber sensors, camera modules and sound modules.

[0115] In an embodiment of the present application, each monitoring space is frozen; in each monitoring space, multiple spatial monitoring points are constructed based on the shape of the monitoring space, the three-dimensional model of the monitoring space and the amount of fluid activity corresponding to the monitoring space, and the shape of the monitoring space, the three-dimensional model of the monitoring space and the amount of fluid activity corresponding to the monitoring space are introduced. The shape of the monitoring space, the three-dimensional model of the monitoring space and the amount of fluid activity corresponding to the monitoring space are controlled, thereby achieving multi-dimensional control of the shape of the monitoring space, the three-dimensional model of the monitoring space and the amount of fluid activity corresponding to the monitoring space, and ensuring the rationality and accuracy of the distribution of multiple spatial monitoring points.

[0116] Furthermore, dynamic matching of the fiber optic sensors, camera modules and sound modules is triggered according to multiple spatial monitoring points, corresponding positions and corresponding monitoring angles. At the same time, the fiber optic sensors, camera modules and sound modules are managed and controlled in each monitoring space, so that each monitoring space is compatible with the fiber optic sensors, camera modules and sound modules, ensuring multi-dimensional detection of the fiber optic sensors, camera modules and sound modules.

[0117] Therefore, the optical fiber sensors, camera modules and sound modules are associated; a multi-dimensional monitoring system of the monitoring space is constructed according to the corresponding optical fiber sensors, camera modules and sound modules, and a multi-dimensional monitoring system of the monitoring space is introduced to facilitate multi-dimensional parameter control in the multi-dimensional monitoring system of the monitoring space, thereby realizing the coordination of the optical fiber sensors, camera modules and sound modules, and ensuring multi-dimensional control of the monitoring space.

[0118] refer to Figure 5 , S14: in the multi-dimensional monitoring system of the monitoring space, determining the corresponding abnormal node according to multiple monitoring parameters of each spatial monitoring point;

[0119] In the specific implementation process of the present invention, the specific steps may be:

[0120] S141: freeze the multi-dimensional monitoring system of the monitoring space;

[0121] S142: dynamically controlling the corresponding monitoring space based on the multi-dimensional monitoring system of the monitoring space;

[0122] S143: monitoring the working status of each space monitoring point according to the dynamic control of the monitoring space;

[0123] S144: collecting multiple monitoring parameters of each spatial monitoring point, and constructing a monitoring parameter combination of the corresponding spatial monitoring point based on the multiple monitoring parameters;

[0124] S145: Associating multiple monitoring parameter combinations;

[0125] S146: Determine the corresponding spatial features based on the synchronous identification of multiple monitoring parameter combinations, determine the corresponding abnormal features according to the multiple spatial features, the abnormal matching table and the corresponding monitoring space, and determine the corresponding abnormal node by tracing the abnormal features.

[0126] In an embodiment of the present application, the monitoring area of ​​the underground pipeline network is collected; a plurality of monitoring spaces are divided based on the monitoring area of ​​the underground pipeline network; a multi-dimensional monitoring system of the monitoring space is constructed based on the corresponding optical fiber sensors, camera modules and sound modules; in the multi-dimensional monitoring system of the monitoring space, the corresponding abnormal nodes are determined according to the multiple monitoring parameters of each spatial monitoring point, the overall consideration of the optical fiber sensors, camera modules and sound modules is compatible, and the multi-dimensional monitoring of the optical fiber sensors, camera modules and sound modules is realized, thereby ensuring the accuracy of the multi-dimensional monitoring system and the accuracy of the intelligent monitoring of the underground pipeline network.

[0127] At this time, the multi-dimensional monitoring system of the monitoring space is frozen; the corresponding monitoring space is dynamically controlled based on the multi-dimensional monitoring system of the monitoring space; the working status of each spatial monitoring point is monitored according to the dynamic control of the monitoring space, and the working status of each spatial monitoring point is controlled.

[0128] Furthermore, multiple monitoring parameters of each spatial monitoring point are collected, and a monitoring parameter combination of the corresponding spatial monitoring point is constructed based on the multiple monitoring parameters to facilitate overall control of the multiple monitoring parameters, and multiple monitoring parameter combinations are introduced to achieve overall control of the multiple monitoring parameter combinations.

[0129] Therefore, multiple monitoring parameter combinations are associated; the corresponding spatial features are determined based on the synchronous identification of multiple monitoring parameter combinations, and the corresponding abnormal features are determined according to multiple spatial features, abnormal matching tables and corresponding monitoring spaces, and the corresponding abnormal nodes are determined by tracing the abnormal features. This is compatible with the overall consideration of multiple spatial features, abnormal matching tables and corresponding monitoring spaces, and realizes the corresponding multi-dimensional control of multiple spatial features, abnormal matching tables and corresponding monitoring spaces, ensuring the accuracy of abnormal features, thereby ensuring the accuracy of abnormal nodes.

[0130] At the same time, in the multi-dimensional monitoring system of the monitoring space, the corresponding abnormal nodes are determined according to the multiple monitoring parameters of each spatial monitoring point, which is compatible with the overall consideration of the optical fiber sensor, camera module and sound module, and realizes the multi-dimensional monitoring of the optical fiber sensor, camera module and sound module, ensuring the accuracy of the multi-dimensional monitoring system and the accuracy of the intelligent monitoring of the underground pipeline network.

[0131] refer to Figure 6 S15: collecting the abnormal position corresponding to the abnormal node, and triggering fixed-point monitoring and peripheral monitoring for the abnormal position, rechecking the abnormal position according to the comparison determined by the multiple parameters matched by the fixed-point monitoring and the multiple parameters matched by the peripheral monitoring, and triggering the corresponding control logic based on the abnormal position;

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

[0133] S151: freeze the abnormal node;

[0134] S152: Collecting the abnormal position corresponding to the abnormal node;

[0135] S153: Determine the positioning range of the abnormal position and the surrounding range of the abnormal position based on the abnormal position and the monitoring space;

[0136] S154: triggering fixed-point monitoring of the abnormal position within the positioning range of the abnormal position, and triggering surrounding monitoring of the abnormal position within the surrounding range of the abnormal position;

[0137] S155: collecting multiple parameters matched by the fixed-point monitoring and multiple parameters matched by the surrounding monitoring, and rechecking the abnormal position according to the comparison determined by the multiple parameters matched by the fixed-point monitoring and the multiple parameters matched by the surrounding monitoring;

[0138] S156: triggering corresponding control logic based on the abnormal location, the corresponding monitoring space and the corresponding function.

[0139] In an embodiment of the present application, the abnormal node is frozen; the abnormal position corresponding to the abnormal node is collected, the abnormal position corresponding to the abnormal node is introduced, and the abnormal position corresponding to the abnormal node is further controlled.

[0140] Furthermore, based on the abnormal position and the monitoring space, the positioning range of the abnormal position and the surrounding range of the abnormal position are determined, and the positioning range of the abnormal position and the surrounding range of the abnormal position are introduced to achieve the control of the positioning range of the abnormal position and the surrounding range of the abnormal position.

[0141] Therefore, in the positioning range of the abnormal position, fixed-point monitoring is triggered for the abnormal position, and at the same time, in the surrounding range of the abnormal position, surrounding monitoring is triggered for the abnormal position, thereby realizing fixed-point monitoring of the abnormal position and surrounding monitoring of the abnormal position.

[0142] Furthermore, multiple parameters matched by fixed-point monitoring and multiple parameters matched by peripheral monitoring are collected, and the abnormal position is rechecked based on the comparison determined by the multiple parameters matched by fixed-point monitoring and the multiple parameters matched by peripheral monitoring; the corresponding control logic is triggered based on the abnormal position, the corresponding monitoring space and the corresponding function, which is compatible with the overall consideration of the abnormal position, the corresponding monitoring space and the corresponding function, realizes multi-dimensional control of the abnormal position, the corresponding monitoring space and the corresponding function, and ensures the accuracy of the control logic.

[0143] refer to Figure 7 , S16: constructing a corresponding abnormal combination based on multiple monitoring parameters corresponding to the abnormal position, and determining the corresponding abnormal type according to the identification of the abnormal combination, and triggering intelligent control of the underground pipe network based on the abnormal type and the corresponding control logic;

[0144] In the specific implementation process of the present invention, the specific steps may be:

[0145] S161: freeze the abnormal position and monitor the abnormal position in real time;

[0146] S162: Collect multiple monitoring parameters corresponding to the abnormal position;

[0147] S163: constructing a corresponding abnormal combination based on multiple monitoring parameters corresponding to the abnormal position;

[0148] S164: Determine the corresponding abnormality type according to the identification of the abnormal combination;

[0149] S165: Determine a control list based on the abnormality type and the corresponding control logic;

[0150] S166: Intelligently control the underground pipe network along each control measure in the control list. At this time, the underground pipe network is synchronously controlled under each control measure, which does not affect the dynamic control of the fluid by the underground pipe network.

[0151] In the specific implementation process of the present invention, the abnormal position corresponding to the abnormal node is collected, and fixed-point monitoring and surrounding monitoring are triggered for the abnormal position. The abnormal position is rechecked based on the comparison determined by multiple parameters matched by the fixed-point monitoring and multiple parameters matched by the surrounding monitoring, and the corresponding control logic is triggered based on the abnormal position; a corresponding abnormal combination is constructed based on the multiple monitoring parameters corresponding to the abnormal position, and the corresponding abnormal type is determined according to the identification of the abnormal combination, and the intelligent control of the underground pipeline network is triggered based on the abnormal type and the corresponding control logic, thereby realizing dynamic monitoring of the underground pipeline network and real-time control of abnormalities, ensuring the intelligent control effect of the underground pipeline network, realizing accurate control of the abnormal position, and making full use of fixed-point monitoring and surrounding monitoring.

[0152] At this time, the abnormal position is frozen and monitored in real time; multiple monitoring parameters corresponding to the abnormal position are collected, and multiple monitoring parameters are introduced to achieve multi-dimensional control of multiple monitoring parameters.

[0153] Furthermore, a corresponding abnormal combination is constructed based on multiple monitoring parameters corresponding to the abnormal position; the corresponding abnormal type is determined based on the identification of the abnormal combination; and a control list is determined based on the abnormal type and the corresponding control logic, thereby achieving multi-dimensional compatibility of the abnormal type and the corresponding control logic, ensuring multiple interactions of the abnormal type and the corresponding control logic, and further ensuring the accuracy of the control list.

[0154] Therefore, the underground pipeline network is intelligently regulated along the various control measures in the control list. At this time, the underground pipeline network is synchronously regulated under various control measures, which does not affect the dynamic control of the fluid by the underground pipeline network, thereby realizing the intelligent regulation of the underground pipeline network. Furthermore, the dynamic monitoring of the underground pipeline network and the real-time control of abnormalities are realized, ensuring the intelligent regulation effect of the underground pipeline network, realizing the precise control of abnormal positions, and making full use of fixed-point monitoring and surrounding monitoring.

[0155] In an embodiment of the present invention, through the method in the embodiment of the present invention, the monitoring area of ​​the underground pipeline network is collected; a plurality of monitoring spaces are divided based on the monitoring area of ​​the underground pipeline network; a multi-dimensional monitoring system of the monitoring space is constructed based on the corresponding optical fiber sensor, camera module and sound module; in the multi-dimensional monitoring system of the monitoring space, the corresponding abnormal nodes are determined according to the multiple monitoring parameters of each spatial monitoring point, the overall consideration of the optical fiber sensor, camera module and sound module is compatible, and the multi-dimensional monitoring of the optical fiber sensor, camera module and sound module is realized, thereby ensuring the accuracy of the multi-dimensional monitoring system and the accuracy of the intelligent monitoring of the underground pipeline network.

[0156] Furthermore, the abnormal position corresponding to the abnormal node is collected, and fixed-point monitoring and surrounding monitoring are triggered for the abnormal position. The abnormal position is rechecked based on the comparison determined by multiple parameters matched by the fixed-point monitoring and multiple parameters matched by the surrounding monitoring, and the corresponding control logic is triggered based on the abnormal position; a corresponding abnormal combination is constructed based on the multiple monitoring parameters corresponding to the abnormal position, and the corresponding abnormal type is determined according to the identification of the abnormal combination, and the intelligent control of the underground pipeline network is triggered based on the abnormal type and the corresponding control logic, thereby realizing dynamic monitoring of the underground pipeline network and real-time control of abnormalities, ensuring the intelligent control effect of the underground pipeline network, realizing accurate control of the abnormal position, and making full use of fixed-point monitoring and surrounding monitoring.

[0157] See also Figure 8 , Figure 8 It is a schematic diagram of the structural composition of an intelligent monitoring system for underground pipe networks based on optical fiber sensing in an embodiment of the present invention.

[0158] like Figure 8 As shown, an intelligent monitoring system for underground pipe network based on optical fiber sensing, the intelligent monitoring system for underground pipe network based on optical fiber sensing includes:

[0159] A collection module 21 is used to collect the monitoring area of ​​the underground pipe network;

[0160] A monitoring space module 22, used to divide a plurality of monitoring spaces based on the monitoring area of ​​the underground pipe network;

[0161] A monitoring system module 23, used to construct a multi-dimensional monitoring system of the monitoring space based on corresponding optical fiber sensors, camera modules and sound modules;

[0162] An abnormal node module 24 is used to determine the corresponding abnormal node according to multiple monitoring parameters of each spatial monitoring point in the multi-dimensional monitoring system of the monitoring space;

[0163] The control logic module 25 is used to collect the abnormal position corresponding to the abnormal node, trigger fixed-point monitoring and peripheral monitoring for the abnormal position, recheck the abnormal position according to the comparison determined by the multiple parameters matched by the fixed-point monitoring and the multiple parameters matched by the peripheral monitoring, and trigger the corresponding control logic based on the abnormal position;

[0164] The intelligent control module 26 is used to construct a corresponding abnormal combination based on multiple monitoring parameters corresponding to the abnormal position, and determine the corresponding abnormal type according to the identification of the abnormal combination, and trigger the intelligent control of the underground pipe network based on the abnormal type and the corresponding control logic.

[0165] See also Fig. 9 , refer to the following Fig. 9The 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.

[0166] 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).

[0167] 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.

[0168] 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 .

[0169] 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.

[0170] 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.

[0171] 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. 9Not 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.

[0172] 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.

[0173] 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.

[0174] In addition, the above is a detailed introduction to the intelligent monitoring method and system for underground pipelines based on optical fiber sensing provided in the embodiments of the present invention. Specific examples are used in this article 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 general technical personnel in this field, 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. An intelligent monitoring method for underground pipe network based on optical fiber sensing, characterized in that: Applied to intelligent monitoring scenarios of underground pipe networks based on optical fiber sensing; The intelligent monitoring method of the underground pipe network based on optical fiber sensing comprises: Collect monitoring areas of underground pipe networks; Divide the monitoring area of ​​the underground pipe network into multiple monitoring spaces; Construct a multi-dimensional monitoring system for the monitoring space based on corresponding optical fiber sensors, camera modules and sound modules; In the multi-dimensional monitoring system of the monitoring space, the corresponding abnormal nodes are determined according to the multiple monitoring parameters of each spatial monitoring point; The abnormal position corresponding to the abnormal node is collected, and fixed-point monitoring and peripheral monitoring are triggered for the abnormal position. The abnormal position is rechecked according to the comparison determined by the multiple parameters matched by the fixed-point monitoring and the multiple parameters matched by the peripheral monitoring, and the corresponding control logic is triggered based on the abnormal position; Based on multiple monitoring parameters corresponding to the abnormal position, a corresponding abnormal combination is constructed, and the corresponding abnormal type is determined according to the identification of the abnormal combination, and the intelligent control of the underground pipe network is triggered based on the abnormal type and the corresponding control logic; The method of collecting the monitoring area of ​​the underground pipe network includes: collecting the location of the underground pipe network; determining the corresponding traversal space according to the location of the underground pipe network and the length of the underground pipe network; constructing a three-dimensional model of the underground pipe network based on the online traversal of the traversal space; collecting fluid parameters relative to the underground pipe network, associating the fluid parameters with the three-dimensional model of the underground pipe network, and constructing a dynamic schematic diagram of the underground pipe network according to the fluid parameters and the three-dimensional model of the underground pipe network; determining the monitoring area of ​​the underground pipe network according to the dynamic schematic diagram of the underground pipe network, the dynamic changes of the fluid parameters and the branch positions of the underground pipe network, so as to collect the monitoring area of ​​the underground pipe network; The method of dividing the monitoring area based on the underground pipeline network into multiple monitoring spaces includes: freezing the monitoring area of ​​the underground pipeline network; associating the monitoring area of ​​the underground pipeline network, the load corresponding to the underground pipeline network, and the shape corresponding to the underground pipeline network; determining a first space coefficient according to the monitoring area of ​​the underground pipeline network and the load corresponding to the underground pipeline network; determining a second space coefficient according to the monitoring area of ​​the underground pipeline network and the shape corresponding to the underground pipeline network; dynamically interacting the second space coefficient, the first space coefficient, and the space matching table; and dividing the multiple monitoring spaces based on the dynamic interaction of the second space coefficient, the first space coefficient, and the space matching table.

2. The intelligent monitoring method for underground pipe network based on optical fiber sensing according to claim 1 is characterized in that: The multi-dimensional monitoring system of the monitoring space is constructed based on the corresponding optical fiber sensor, camera module and sound module, including: Freeze each monitoring space; In each monitoring space, multiple spatial monitoring points are constructed based on the form of the monitoring space, the three-dimensional model of the monitoring space, and the amount of fluid activity corresponding to the monitoring space; Triggering dynamic matching of optical fiber sensors, camera modules and sound modules according to multiple spatial monitoring points, corresponding positions and corresponding monitoring angles; Control fiber optic sensors, camera modules, and sound modules in each monitoring space; Associating optical fiber sensors, camera modules, and sound modules; A multi-dimensional monitoring system for the monitoring space is constructed based on the corresponding fiber optic sensors, camera modules and sound modules.

3. The intelligent monitoring method for underground pipe network based on optical fiber sensing according to claim 1 is characterized in that: In the multi-dimensional monitoring system of the monitoring space, the corresponding abnormal nodes are determined according to the multiple monitoring parameters of each spatial monitoring point, including: Freeze the multi-dimensional monitoring system of the monitoring space; The multi-dimensional monitoring system based on the monitoring space dynamically controls the corresponding monitoring space; Monitor the working status of each space monitoring point according to the dynamic control of the monitoring space; Collect multiple monitoring parameters of each spatial monitoring point, and construct a monitoring parameter combination of the corresponding spatial monitoring point based on the multiple monitoring parameters; Associate multiple monitoring parameter combinations; Based on the synchronous identification of multiple monitoring parameter combinations, the corresponding spatial features are determined, and the corresponding abnormal features are determined according to the multiple spatial features, the abnormal matching table and the corresponding monitoring space, and the corresponding abnormal nodes are determined by tracing the abnormal features.

4. The intelligent monitoring method for underground pipe network based on optical fiber sensing according to claim 1 is characterized in that: The abnormal position corresponding to the abnormal node is collected, and fixed-point monitoring and peripheral monitoring are triggered for the abnormal position, the abnormal position is rechecked according to a comparison determined by a plurality of parameters matched by the fixed-point monitoring and a plurality of parameters matched by the peripheral monitoring, and a corresponding control logic is triggered based on the abnormal position, including: Freeze the abnormal node; Collect the abnormal position corresponding to the abnormal node; The positioning range of the abnormal position and the surrounding range of the abnormal position are determined based on the abnormal position and the monitoring space.

5. The intelligent monitoring method for underground pipe network based on optical fiber sensing according to claim 4 is characterized in that: The abnormal position corresponding to the abnormal node is collected, and fixed-point monitoring and peripheral monitoring are triggered for the abnormal position, the abnormal position is rechecked according to a comparison determined by a plurality of parameters matched by the fixed-point monitoring and a plurality of parameters matched by the peripheral monitoring, and a corresponding control logic is triggered based on the abnormal position, and further includes: In the positioning range of the abnormal position, fixed-point monitoring is triggered for the abnormal position, and at the same time, in the surrounding range of the abnormal position, surrounding monitoring is triggered for the abnormal position; Collect multiple parameters matched by fixed-point monitoring and multiple parameters matched by peripheral monitoring, and recheck the abnormal position according to the comparison determined by the multiple parameters matched by fixed-point monitoring and multiple parameters matched by peripheral monitoring; The corresponding control logic is triggered based on the abnormal location, the corresponding monitoring space and the corresponding function.

6. The intelligent monitoring method for underground pipe network based on optical fiber sensing according to claim 1 is characterized in that: The method constructs a corresponding abnormal combination based on multiple monitoring parameters corresponding to the abnormal position, determines a corresponding abnormal type according to the identification of the abnormal combination, and triggers intelligent regulation of the underground pipe network based on the abnormal type and the corresponding regulation logic, including: Freeze the abnormal position and monitor it in real time; Collect multiple monitoring parameters corresponding to the abnormal location; A corresponding abnormal combination is constructed based on multiple monitoring parameters corresponding to the abnormal location.

7. The intelligent monitoring method for underground pipe network based on optical fiber sensing according to claim 6 is characterized in that: The method further comprises: constructing a corresponding abnormal combination based on a plurality of monitoring parameters corresponding to the abnormal position, determining a corresponding abnormal type according to the identification of the abnormal combination, and triggering intelligent control of the underground pipe network based on the abnormal type and the corresponding control logic, and further comprising: Determine the corresponding abnormal type according to the identification of the abnormal combination; Determine a control list based on the abnormality type and the corresponding control logic; The underground pipe network is intelligently regulated along each regulation measure in the regulation list. At this time, the underground pipe network is synchronously regulated under each regulation measure, which does not affect the dynamic control of the fluid by the underground pipe network.

8. An intelligent monitoring system for underground pipe network based on optical fiber sensing, characterized in that: The intelligent monitoring system for underground pipe network based on optical fiber sensing is applied to the intelligent monitoring method for underground pipe network based on optical fiber sensing as claimed in any one of claims 1 to 7, and the intelligent monitoring system for underground pipe network based on optical fiber sensing comprises: The acquisition module is used to collect the monitoring area of ​​the underground pipe network; The monitoring space module is used to divide multiple monitoring spaces based on the monitoring area of ​​the underground pipe network; A monitoring system module, used to construct a multi-dimensional monitoring system for the monitoring space based on corresponding optical fiber sensors, camera modules and sound modules; An abnormal node module is used to determine the corresponding abnormal node according to multiple monitoring parameters of each spatial monitoring point in the multi-dimensional monitoring system of the monitoring space; A control logic module is used to collect the abnormal position corresponding to the abnormal node, trigger fixed-point monitoring and peripheral monitoring for the abnormal position, recheck the abnormal position according to the comparison determined by the multiple parameters matched by the fixed-point monitoring and the multiple parameters matched by the peripheral monitoring, and trigger the corresponding control logic based on the abnormal position; An intelligent control module is used to construct a corresponding abnormal combination based on multiple monitoring parameters corresponding to the abnormal position, and determine the corresponding abnormal type according to the identification of the abnormal combination, and trigger the intelligent control of the underground pipe network based on the abnormal type and the corresponding control logic; The method of collecting the monitoring area of ​​the underground pipe network includes: collecting the location of the underground pipe network; determining the corresponding traversal space according to the location of the underground pipe network and the length of the underground pipe network; constructing a three-dimensional model of the underground pipe network based on the online traversal of the traversal space; collecting fluid parameters relative to the underground pipe network, associating the fluid parameters with the three-dimensional model of the underground pipe network, and constructing a dynamic schematic diagram of the underground pipe network according to the fluid parameters and the three-dimensional model of the underground pipe network; determining the monitoring area of ​​the underground pipe network according to the dynamic schematic diagram of the underground pipe network, the dynamic changes of the fluid parameters and the branch positions of the underground pipe network, so as to collect the monitoring area of ​​the underground pipe network; The method of dividing the monitoring area based on the underground pipeline network into multiple monitoring spaces includes: freezing the monitoring area of ​​the underground pipeline network; associating the monitoring area of ​​the underground pipeline network, the load corresponding to the underground pipeline network, and the shape corresponding to the underground pipeline network; determining a first space coefficient according to the monitoring area of ​​the underground pipeline network and the load corresponding to the underground pipeline network; determining a second space coefficient according to the monitoring area of ​​the underground pipeline network and the shape corresponding to the underground pipeline network; dynamically interacting the second space coefficient, the first space coefficient, and the space matching table; and dividing the multiple monitoring spaces based on the dynamic interaction of the second space coefficient, the first space coefficient, and the space matching table.

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