Multi-dimensional early warning method and system for underground pipe network based on optical fiber sensing

Abstract

The invention discloses an underground pipe network multi-dimensional early warning method and system based on optical fiber sensing, and the method comprises the steps: building a detection system of a detection region based on each parameter combination, a corresponding detection position and a detection time period, collecting a grade change diagram corresponding to the detection system, and carrying out the grade control of the detection system. Defining a real-time early warning level of the underground pipe network according to the positions of the plurality of early warning points, the number of the plurality of early warning points and the road section corresponding to the underground pipe network; a corresponding optical fiber system is constructed based on a plurality of optical fiber sensors, and abnormal events of the plurality of optical fiber sensors are optimized in real time in the optical fiber system so as to define the dynamic detection level of the detection area of the underground pipe network. According to the dynamic detection level of the detection area of the underground pipe network, the real-time early warning level of the underground pipe network and the load corresponding to the road section, multi-dimensional early warning of the underground pipe network is triggered, and the early warning accuracy and response timeliness of the underground pipe network under multiple dimensions based on the multiple optical fiber sensors are guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of urban pipe networks, and in particular to a multi-dimensional early warning method and system for underground pipe networks based on optical fiber sensing. Background Art

[0002] With the development of science and technology, urban pipe networks are used in cities and are used to carry fluids flowing in cities. The fluids are substances such as sewage. Urban pipe networks are laid underground. In the existing technology, multiple fiber optic sensors are arranged in the underground pipe network. Manual comparison is performed on the parameters detected by each fiber optic sensor, and multiple parameters cannot be controlled as a whole. The accuracy of the detection system in the detection area cannot be guaranteed, which affects the accuracy of the early warning of the underground pipe network based on multiple fiber optic sensors in multiple dimensions. 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 multi-dimensional early warning method and system for an underground pipeline network based on optical fiber sensing, which locates the underground pipeline network and determines the detection area of ​​the underground pipeline network; defines the distribution position of each optical fiber sensor based on the detection area of ​​the underground pipeline network, the pipe diameter of the underground pipeline network and the early warning line of the fluid; triggers real-time detection according to the distribution position of each optical fiber sensor, and matches the corresponding parameter combination based on the distribution position of each optical fiber sensor; constructs a detection system for the detection area based on each parameter combination, the corresponding detection position and the detection time period, and collects the level change diagram corresponding to the detection system, performs level control on the detection system, and at the same time, is compatible with the overall consideration of each parameter combination, the corresponding detection position and the detection time period, realizes multi-dimensional control of each parameter combination, the corresponding detection position and the detection time period, and ensures the accuracy of the detection system of the detection area.

[0004] Furthermore, in the level change diagram, the dynamic level of each space in the detection area is marked, and the corresponding warning points are defined according to the dynamic level of each space, the preset warning level and the duration, and the real-time warning level of the underground pipeline network is defined according to the locations of the multiple warning points, the number of the multiple warning points and the road section corresponding to the underground pipeline network; multiple fiber optic sensors are monitored, and a corresponding fiber optic system is constructed based on the multiple fiber optic sensors, and abnormal events of the multiple fiber optic sensors are optimized in real time in the fiber optic system to define the dynamic detection level of the detection area of ​​the underground pipeline network, and the multi-dimensional warning of the underground pipeline network is triggered according to the dynamic detection level of the detection area of ​​the underground pipeline network, the real-time warning level of the underground pipeline network and the load corresponding to the road section, thereby ensuring the accuracy of the warning and timeliness of the response of the underground pipeline network in multiple dimensions based on multiple fiber optic sensors.

[0005] The embodiment of the present invention provides a multi-dimensional early warning method based on optical fiber sensing for underground pipe networks, which is characterized by being applied to multi-dimensional early warning scenarios based on optical fiber sensing for underground pipe networks; The multi-dimensional early warning method of the underground pipe network based on optical fiber sensing includes: Locate the underground pipe network and determine the detection area of ​​the underground pipe network; The distribution location of each optical fiber sensor is defined based on the detection area of ​​the underground pipe network, the pipe diameter of the underground pipe network and the early warning line of the fluid; Triggering real-time detection according to the distribution position of each optical fiber sensor, and matching the corresponding parameter combination based on the distribution position of each optical fiber sensor; A detection system for the detection area is constructed based on various parameter combinations, corresponding detection locations, and detection time periods, and a level change diagram corresponding to the detection system is collected; In the level change diagram, the dynamic level of each space in the detection area is marked, and the corresponding warning points are defined according to the dynamic level of each space, the preset warning level and the duration. The real-time warning level of the underground pipe network is defined according to the location of multiple warning points, the number of multiple warning points and the road section corresponding to the underground pipe network; Monitor multiple fiber optic sensors, build a corresponding fiber optic system based on the multiple fiber optic sensors, and optimize the abnormal events of multiple fiber optic sensors in real time in the fiber optic system to define the dynamic detection level of the detection area of ​​the underground pipeline network, and trigger the multi-dimensional warning of the underground pipeline network according to the dynamic detection level of the detection area of ​​the underground pipeline network, the real-time warning level of the underground pipeline network and the load corresponding to the road section.

[0006] Optionally, locating the underground pipe network and determining the detection area of ​​the underground pipe network includes: Collect the location of underground pipe network; Triggering the positioning of the underground pipe network according to the location of the underground pipe network; Conduct positioning detection on underground pipe networks; In the positioning detection of underground pipe networks, the fluid path of the underground pipe network is collected; The detection area of ​​the underground pipe network is determined according to the fluid path, the corresponding branch point and the pipe diameter of the underground pipe network.

[0007] Optionally, the distribution positions of the optical fiber sensors are defined based on the detection area of ​​the underground pipe network, the pipe diameter of the underground pipe network, and the early warning line of the fluid, including: Determine the detection area of ​​the underground pipe network; Divide the detection area of ​​the underground pipe network and the road section corresponding to the underground pipe network into multiple sub-pipeline spaces; triggering self-regulation of the plurality of sub-pipe spaces according to the plurality of sub-pipe spaces, the turbidity level of the fluid, and the flow rate of the fluid, so as to reasonably distribute the plurality of sub-pipe spaces; The diameter of underground pipe network and the early warning line of fluid based on multiple sub-pipeline spaces; A first position coefficient is defined according to the plurality of sub-pipeline spaces and the pipe diameter of the underground pipe network; a second position coefficient is defined according to the plurality of sub-pipeline spaces and the early warning line of the fluid; The distribution position of each optical fiber sensor is defined based on the second position coefficient, the first position coefficient and the position distribution table corresponding to the underground pipe network.

[0008] Optionally, triggering real-time detection according to the distribution position of each optical fiber sensor, and matching a corresponding parameter combination based on the distribution position of each optical fiber sensor, includes: Freeze the distribution position of each optical fiber sensor; Define corresponding detection modes according to the distribution locations of each optical fiber sensor, the service life of each optical fiber sensor and the corresponding detection dimensions; Triggering each optical fiber sensor to detect the fluid in real time along the detection mode; Collect multiple fluid parameters based on real-time detection of the fluid by each optical fiber sensor; associating a plurality of fluid parameters, corresponding locations, and differences in the plurality of fluid parameters; Multi-dimensional matching is performed based on multiple fluid parameters, corresponding positions, and differences in the multiple fluid parameters to match corresponding parameter combinations.

[0009] Optionally, the construction of a detection system for the detection area based on various parameter combinations, corresponding detection positions and detection time periods, and collecting a level change diagram corresponding to the detection system, includes: The parameter combination corresponding to the freeze frame; Defining a corresponding matching coefficient based on matching of multiple parameter combinations; If the matching coefficient is lower than the preset matching coefficient, the corresponding abnormal parameters are screened based on multiple detections of multiple parameter combinations, and each optimized parameter combination is formed by optimizing the abnormal parameters; Associating the optimized parameter combinations, the corresponding detection positions and the detection time periods, and building a detection system for the detection area based on the optimized parameter combinations, the corresponding detection positions and the detection time periods; As time goes by, collect the detection level of the detection system in each time period; A corresponding detection level set is constructed based on multiple detection levels, and a corresponding level change graph is matched according to the detection level set to acquire the level change graph corresponding to the detection system.

[0010] Optionally, in the level change diagram, the dynamic level of each space in the detection area is marked, and the corresponding warning points are defined according to the dynamic level of each space, the preset warning level and the duration, and the real-time warning level of the underground pipe network is defined according to the locations of the multiple warning points, the number of the multiple warning points and the road section corresponding to the underground pipe network, including: Freeze the level change graph, and dynamically traverse the level change graph; In the level change diagram, each space in the detection area is associated based on the detection system, and the dynamic level of each space in the detection area is marked according to the dynamic interaction between the level change diagram and each space in the detection area.

[0011] Optionally, in the level change diagram, the dynamic level of each space in the detection area is marked, and the corresponding warning points are defined according to the dynamic level of each space, the preset warning level and the duration, and the real-time warning level of the underground pipe network is defined according to the location of multiple warning points, the number of multiple warning points and the road section corresponding to the underground pipe network, and further includes: Freeze the dynamic levels of each space in the detection area; Associating the locations of multiple warning points, the number of multiple warning points, and the road sections corresponding to the underground pipe network; The real-time warning level of the underground pipeline network is defined based on the locations of the multiple warning points, the number of the multiple warning points, and the road sections corresponding to the underground pipeline network.

[0012] Optionally, the monitoring of multiple optical fiber sensors, and building a corresponding optical fiber system based on the multiple optical fiber sensors, and optimizing the abnormal events of the multiple optical fiber sensors in real time in the optical fiber system to define the dynamic detection level of the detection area of ​​the underground pipe network, triggering a multi-dimensional warning of the underground pipe network according to the dynamic detection level of the detection area of ​​the underground pipe network, the real-time warning level of the underground pipe network and the load corresponding to the road section, including: Collecting the locations of multiple optical fiber sensors, and triggering dynamic monitoring of the multiple optical fiber sensors according to the locations of the multiple optical fiber sensors; Based on the dynamic detection of multiple optical fiber sensors, the corresponding working status is collected, and the corresponding optical fiber system is constructed according to the multiple working statuses, the corresponding optical fiber sensors and the cooperative relationship between the multiple optical fiber sensors.

[0013] Optionally, the monitoring of multiple optical fiber sensors, and building a corresponding optical fiber system based on the multiple optical fiber sensors, and optimizing the abnormal events of the multiple optical fiber sensors in real time in the optical fiber system to define the dynamic detection level of the detection area of ​​the underground pipe network, triggering a multi-dimensional warning of the underground pipe network according to the dynamic detection level of the detection area of ​​the underground pipe network, the real-time warning level of the underground pipe network and the load corresponding to the road section, also includes: Collect abnormal events of multiple fiber optic sensors during operation; In this optical fiber system, abnormal events of multiple optical fiber sensors are optimized in real time to define the dynamic detection level of the detection area of ​​the underground pipeline network. Dynamic detection level of the detection area associated with the underground pipe network, real-time warning level of the underground pipe network and the load corresponding to the road section; A multi-dimensional warning of the underground pipeline network is triggered according to the dynamic detection level of the detection area of ​​the underground pipeline network, the real-time warning level of the underground pipeline network and the load corresponding to the road section.

[0014] In addition, an embodiment of the present invention further provides a multi-dimensional early warning system for an underground pipe network based on optical fiber sensing, and the multi-dimensional early warning system for an underground pipe network based on optical fiber sensing includes: A positioning module is used to locate the underground pipe network and determine the detection area of ​​the underground pipe network; A distribution location module is used to define the distribution location of each optical fiber sensor based on the detection area of ​​the underground pipe network, the pipe diameter of the underground pipe network and the early warning line of the fluid; A parameter combination module is used to trigger real-time detection according to the distribution position of each optical fiber sensor, and match the corresponding parameter combination based on the distribution position of each optical fiber sensor; The level change diagram module is used to construct a detection system for the detection area based on various parameter combinations, corresponding detection positions and detection time periods, and collect the level change diagram corresponding to the detection system; The real-time warning level module is used to mark the dynamic level of each space in the detection area in the level change diagram, and define the corresponding warning points according to the dynamic level of each space, the preset warning level and the duration, and define the real-time warning level of the underground pipe network according to the location of multiple warning points, the number of multiple warning points and the road section corresponding to the underground pipe network; The multi-dimensional early warning module is used to monitor multiple fiber optic sensors, build a corresponding fiber optic system based on the multiple fiber optic sensors, and optimize the abnormal events of multiple fiber optic sensors in real time in the fiber optic system to define the dynamic detection level of the detection area of ​​the underground pipeline network, and trigger the multi-dimensional early warning of the underground pipeline network according to the dynamic detection level of the detection area of ​​the underground pipeline network, the real-time early warning level of the underground pipeline network and the load corresponding to the road section.

[0015] In an embodiment of the present invention, the underground pipeline network is located and the detection area of ​​the underground pipeline network is determined through the method in the embodiment of the present invention; the distribution position of each fiber optic sensor is defined based on the detection area of ​​the underground pipeline network, the pipe diameter of the underground pipeline network and the warning line of the fluid; real-time detection is triggered according to the distribution position of each fiber optic sensor, and the corresponding parameter combination is matched based on the distribution position of each fiber optic sensor; a detection system for the detection area is constructed based on each parameter combination, the corresponding detection position and the detection time period, and the level change diagram corresponding to the detection system is collected, and the level control is performed on the detection system. At the same time, it is compatible with the overall consideration of each parameter combination, the corresponding detection position and the detection time period, and realizes multi-dimensional control of each parameter combination, the corresponding detection position and the detection time period, thereby ensuring the accuracy of the detection system of the detection area.

[0016] Furthermore, in the level change diagram, the dynamic level of each space in the detection area is marked, and the corresponding warning points are defined according to the dynamic level of each space, the preset warning level and the duration, and the real-time warning level of the underground pipeline network is defined according to the locations of the multiple warning points, the number of the multiple warning points and the road section corresponding to the underground pipeline network; multiple fiber optic sensors are monitored, and a corresponding fiber optic system is constructed based on the multiple fiber optic sensors, and abnormal events of the multiple fiber optic sensors are optimized in real time in the fiber optic system to define the dynamic detection level of the detection area of ​​the underground pipeline network, and the multi-dimensional warning of the underground pipeline network is triggered according to the dynamic detection level of the detection area of ​​the underground pipeline network, the real-time warning level of the underground pipeline network and the load corresponding to the road section, thereby ensuring the accuracy of the warning and timeliness of the response of the underground pipeline network in multiple dimensions based on multiple fiber optic sensors. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] 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.

[0018] Figure 1 is a flow chart of a multi-dimensional early warning method based on optical fiber sensing for underground pipe networks in an embodiment of the present invention; Figure 2 is a flow chart of S11 in the multi-dimensional early warning method based on optical fiber sensing for underground pipe networks in an embodiment of the present invention; Figure 3 is a flow chart of S12 in the multi-dimensional early warning method based on optical fiber sensing for underground pipe networks in an embodiment of the present invention; Figure 4is a flow chart of S13 in the multi-dimensional early warning method based on optical fiber sensing for underground pipe networks in an embodiment of the present invention; Figure 5 is a flow chart of S14 in the multi-dimensional early warning method based on optical fiber sensing for underground pipe networks in an embodiment of the present invention; Figure 6 is a flow chart of S15 in the multi-dimensional early warning method based on optical fiber sensing for underground pipe networks in an embodiment of the present invention; Figure 7 is a flow chart of S16 in the multi-dimensional early warning method based on optical fiber sensing for underground pipe networks in an embodiment of the present invention; Figure 8 Schematic diagram of the structure of a multi-dimensional early warning system for underground pipe networks based on optical fiber sensing in an embodiment of the present invention; Fig. 9 The figure is a hardware diagram of an electronic device according to an exemplary embodiment. DETAILED DESCRIPTION

[0019] 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.

[0020] See also Figures 1 to 9 , a multi-dimensional early warning method based on optical fiber sensing for underground pipe networks, which is applied to multi-dimensional early warning scenarios based on optical fiber sensing for underground pipe networks; the multi-dimensional early warning method based on optical fiber sensing for underground pipe networks includes: Step S11: locating the underground pipe network and determining the detection area of ​​the underground pipe network; Step S12: defining the distribution positions of each optical fiber sensor based on the detection area of ​​the underground pipe network, the pipe diameter of the underground pipe network and the early warning line of the fluid; Step S13: triggering real-time detection according to the distribution position of each optical fiber sensor, and matching corresponding parameter combinations based on the distribution position of each optical fiber sensor; Step S14: constructing a detection system for the detection area based on various parameter combinations, corresponding detection positions and detection time periods, and collecting a level change diagram corresponding to the detection system; Step S15: In the level change diagram, the dynamic level of each space in the detection area is marked, and the corresponding warning points are defined according to the dynamic level of each space, the preset warning level and the duration, and the real-time warning level of the underground pipe network is defined according to the location of the multiple warning points, the number of the multiple warning points and the road section corresponding to the underground pipe network; Step S16: Monitor multiple fiber optic sensors, and build a corresponding fiber optic system based on the multiple fiber optic sensors, and optimize the abnormal events of the multiple fiber optic sensors in the fiber optic system in real time to define the dynamic detection level of the detection area of ​​the underground pipeline network, and trigger a multi-dimensional warning of the underground pipeline network according to the dynamic detection level of the detection area of ​​the underground pipeline network, the real-time warning level of the underground pipeline network, and the load corresponding to the road section.

[0021] In an embodiment of the present invention, the underground pipeline network is located and the detection area of ​​the underground pipeline network is determined through the method in the embodiment of the present invention; the distribution position of each fiber optic sensor is defined based on the detection area of ​​the underground pipeline network, the pipe diameter of the underground pipeline network and the warning line of the fluid; real-time detection is triggered according to the distribution position of each fiber optic sensor, and the corresponding parameter combination is matched based on the distribution position of each fiber optic sensor; a detection system for the detection area is constructed based on each parameter combination, the corresponding detection position and the detection time period, and the level change diagram corresponding to the detection system is collected, and the level control is performed on the detection system. At the same time, it is compatible with the overall consideration of each parameter combination, the corresponding detection position and the detection time period, and realizes multi-dimensional control of each parameter combination, the corresponding detection position and the detection time period, thereby ensuring the accuracy of the detection system of the detection area.

[0022] Furthermore, in the level change diagram, the dynamic level of each space in the detection area is marked, and the corresponding warning points are defined according to the dynamic level of each space, the preset warning level and the duration, and the real-time warning level of the underground pipeline network is defined according to the locations of the multiple warning points, the number of the multiple warning points and the road section corresponding to the underground pipeline network; multiple fiber optic sensors are monitored, and a corresponding fiber optic system is constructed based on the multiple fiber optic sensors, and abnormal events of the multiple fiber optic sensors are optimized in real time in the fiber optic system to define the dynamic detection level of the detection area of ​​the underground pipeline network, and the multi-dimensional warning of the underground pipeline network is triggered according to the dynamic detection level of the detection area of ​​the underground pipeline network, the real-time warning level of the underground pipeline network and the load corresponding to the road section, thereby ensuring the accuracy of the warning and timeliness of the response of the underground pipeline network in multiple dimensions based on multiple fiber optic sensors.

[0023] refer to Figure 2 , in step S11, the underground pipe network is located and the detection area of ​​the underground pipe network is determined; In the specific implementation process of the present invention, the specific steps may be: S111: collect the location of underground pipe network; S112: triggering the positioning of the underground pipe network according to the location of the underground pipe network; S113: Positioning and detecting the underground pipe network; S114: in the positioning detection of the underground pipe network, collecting the fluid path of the underground pipe network; S115: Determine a detection area of ​​the underground pipe network according to the fluid path, the corresponding branch point, and the pipe diameter of the underground pipe network.

[0024] In an embodiment of the present application, the location of the underground pipeline network is collected, and the location of the underground pipeline network is controlled, so that the positioning of the underground pipeline network is triggered according to the location of the underground pipeline network, thereby achieving accurate positioning of the underground pipeline network.

[0025] Furthermore, the underground pipeline network is positioned and detected, and the positioning detection of the underground pipeline network is introduced to realize the monitoring of the positioning detection of the underground pipeline network. At the same time, in the positioning detection of the underground pipeline network, the fluid path of the underground pipeline network is collected; the detection area of ​​the underground pipeline network is determined according to the fluid path, the corresponding branch points and the pipe diameter of the underground pipeline network, and the overall consideration of the fluid path, the corresponding branch points and the pipe diameter of the underground pipeline network is introduced, which realizes the multi-dimensional control of the fluid path, the corresponding branch points and the pipe diameter of the underground pipeline network, and ensures the accuracy of the detection area of ​​the underground pipeline network.

[0026] refer to Figure 3 In step S12, the distribution positions of the optical fiber sensors are defined based on the detection area of ​​the underground pipe network, the pipe diameter of the underground pipe network and the early warning line of the fluid; In the specific implementation process of the present invention, the specific steps may be: S121: Determine the detection area of ​​the underground pipe network; S122: Dividing a plurality of sub-pipeline spaces based on the detection area of ​​the underground pipe network and the road section corresponding to the underground pipe network; S123: triggering self-regulation of the plurality of sub-pipe spaces according to the plurality of sub-pipe spaces, the turbidity level of the fluid, and the flow rate of the fluid, so as to reasonably distribute the plurality of sub-pipe spaces; S124: Correlating the pipe diameter of the underground pipe network and the early warning line of the fluid based on the multiple sub-pipeline spaces; S125: defining a first position coefficient according to the plurality of sub-pipeline spaces and the pipe diameter of the underground pipe network; defining a second position coefficient according to the plurality of sub-pipeline spaces and the early warning line of the fluid; S126: defining the distribution position of each optical fiber sensor based on the second position coefficient, the first position coefficient and the position distribution table corresponding to the underground pipe network.

[0027] In an embodiment of the present application, the detection area of ​​the underground pipeline network is fixed, and the detection area of ​​the underground pipeline network is introduced. The detection area of ​​the underground pipeline network is further controlled, so that a plurality of sub-pipeline spaces are divided based on the detection area of ​​the underground pipeline network and the road section corresponding to the underground pipeline network, and the overall consideration of the detection area of ​​the underground pipeline network and the road section corresponding to the underground pipeline network is compatible, and multi-dimensional control of the detection area of ​​the underground pipeline network and the road section corresponding to the underground pipeline network is achieved, and a reasonable division of a plurality of sub-pipeline spaces is achieved, thereby ensuring the accuracy of the plurality of sub-pipeline spaces.

[0028] Furthermore, self-regulation of the multiple sub-pipe spaces is triggered according to the multiple sub-pipe spaces, the turbidity level of the fluid and the flow rate of the fluid, so as to reasonably distribute the multiple sub-pipe spaces. At the same time, multiple sub-pipe spaces, the turbidity level of the fluid and the flow rate of the fluid are introduced to further control the turbidity level of the fluid and the flow rate of the fluid. An overall consideration of the multiple sub-pipe spaces, the turbidity level of the fluid and the flow rate of the fluid is introduced to ensure the positions between the multiple sub-pipe spaces and the self-adjustment of the space, and is compatible with multiple different models of underground pipelines, thereby improving the overall versatility.

[0029] Therefore, based on the pipe diameters of multiple sub-pipeline spaces associated with the underground pipeline network and the early warning lines of the fluid, multiple sub-pipeline spaces associated with the underground pipeline network and the early warning lines of the fluid are introduced, and multiple interactions of the pipe diameters of multiple sub-pipeline spaces associated with the underground pipeline network and the early warning lines of the fluid are realized. At the same time, the first position coefficient is defined according to the pipe diameters of the multiple sub-pipeline spaces and the underground pipeline network; the second position coefficient is defined according to the multiple sub-pipeline spaces and the early warning lines of the fluid; the distribution position of each optical fiber sensor is defined based on the second position coefficient, the first position coefficient and the position distribution table corresponding to the underground pipeline network, which is compatible with the overall consideration of the second position coefficient, the first position coefficient and the position distribution table corresponding to the underground pipeline network, and realizes multi-dimensional control of the second position coefficient, the first position coefficient and the position distribution table corresponding to the underground pipeline network, thereby ensuring the accuracy and rationality of the distribution position of each optical fiber sensor.

[0030] refer to Figure 4 , in step S13, triggering real-time detection according to the distribution position of each optical fiber sensor, and matching the corresponding parameter combination based on the distribution position of each optical fiber sensor; In the specific implementation process of the present invention, the specific steps may be: S131: freeze the distribution positions of each optical fiber sensor; S132: defining a corresponding detection mode according to the distribution position of each optical fiber sensor, the service life of each optical fiber sensor and the corresponding detection dimension; S133: triggering each optical fiber sensor to detect the fluid in real time along the detection mode; S134: collecting multiple fluid parameters based on real-time detection of the fluid by each optical fiber sensor; S135: Associating multiple fluid parameters, corresponding positions, and differences between the multiple fluid parameters; S136: Perform multi-dimensional matching based on multiple fluid parameters, corresponding positions, and differences in the multiple fluid parameters to match corresponding parameter combinations.

[0031] In an embodiment of the present application, the distribution position of each optical fiber sensor is fixed, and the distribution position of each optical fiber sensor is controlled, so as to define a corresponding detection mode according to the distribution position of each optical fiber sensor, the service life of each optical fiber sensor and the corresponding detection dimension, which is compatible with the overall consideration of the distribution position of each optical fiber sensor, the service life of each optical fiber sensor and the corresponding detection dimension, realizes the multi-dimensional control of the distribution position of each optical fiber sensor, the service life of each optical fiber sensor and the corresponding detection dimension, and ensures the accuracy of the detection mode.

[0032] At this time, each optical fiber sensor is triggered to detect the fluid in real time along the detection mode; multiple fluid parameters are collected based on the real-time detection of the fluid by each optical fiber sensor, multiple fluid parameters are introduced, and multiple fluid parameters are controlled.

[0033] Furthermore, multiple fluid parameters, corresponding positions, and differences in multiple fluid parameters are introduced to associate multiple fluid parameters, corresponding positions, and differences in multiple fluid parameters; then, multi-dimensional matching is performed based on the multiple fluid parameters, corresponding positions, and differences in multiple fluid parameters to match corresponding parameter combinations, thereby realizing the formation of multiple parameter combinations, ensuring the control of multiple parameter combinations, and being compatible with the combined management and control of multiple fluid parameters, corresponding positions, and differences in multiple fluid parameters.

[0034] refer to Figure 5 , S14: constructing a detection system for the detection area based on various parameter combinations, corresponding detection positions and detection time periods, and collecting a level change diagram corresponding to the detection system; In the specific implementation process of the present invention, the specific steps may be: S141: parameter combination corresponding to freeze frame; S142: defining a corresponding matching coefficient based on matching of multiple parameter combinations; S143: If the matching coefficient is lower than the preset matching coefficient, the corresponding abnormal parameters are screened based on multiple detections of multiple parameter combinations, and each optimized parameter combination is formed by optimizing the abnormal parameters; S144: Associating the optimized parameter combinations, the corresponding detection positions, and the detection time periods, and constructing a detection system for the detection area based on the optimized parameter combinations, the corresponding detection positions, and the detection time periods; S145: As time changes, collect the detection level of the detection system in each time period; S146: constructing a corresponding detection level set based on multiple detection levels, and matching a corresponding level change graph according to the detection level set to collect a level change graph corresponding to the detection system.

[0035] In an embodiment of the present application, the underground pipeline network is located, and the detection area of ​​the underground pipeline network is determined; the distribution position of each fiber optic sensor is defined based on the detection area of ​​the underground pipeline network, the pipe diameter of the underground pipeline network and the warning line of the fluid; real-time detection is triggered according to the distribution position of each fiber optic sensor, and the corresponding parameter combination is matched based on the distribution position of each fiber optic sensor; a detection system for the detection area is constructed based on each parameter combination, the corresponding detection position and the detection time period, and the level change diagram corresponding to the detection system is collected, and the level control is performed on the detection system. At the same time, it is compatible with the overall consideration of each parameter combination, the corresponding detection position and the detection time period, realizes the multi-dimensional control of each parameter combination, the corresponding detection position and the detection time period, and ensures the accuracy of the detection system of the detection area.

[0036] At this time, the corresponding parameter combination is frozen; the corresponding matching coefficient is defined based on the matching of multiple parameter combinations, and the matching degree between the multiple parameter combinations is presented through the matching coefficient, so as to compare the matching coefficient with the preset matching coefficient, thereby realizing targeted control of the matching coefficient.

[0037] Furthermore, if the matching coefficient is lower than the preset matching coefficient, the corresponding abnormal parameters are screened based on multiple detections of multiple parameter combinations, and optimized parameter combinations are formed based on the optimization of the abnormal parameters. The optimized parameter combinations are introduced to ensure the accuracy of the optimized parameter combinations, and primary optimization is performed on each parameter combination.

[0038] Therefore, the optimized parameter combinations, corresponding detection positions and detection time periods are associated, and a detection system for the detection area is constructed based on the optimized parameter combinations, corresponding detection positions and detection time periods. The optimized parameter combinations, corresponding detection positions and detection time periods are introduced, and multi-dimensional control is performed on the optimized parameter combinations, corresponding detection positions and detection time periods. The dynamic interaction of the optimized parameter combinations, corresponding detection positions and detection time periods is realized, thereby ensuring the accuracy of the detection system for the detection area.

[0039] Furthermore, as time changes, the detection levels of the detection system in each time period are collected; a corresponding detection level set is constructed based on multiple detection levels, and the corresponding level change graph is matched according to the detection level set to collect the level change graph corresponding to the detection system. The level change graph is introduced to manage and control the detection levels, so as to facilitate different levels of management and control of the detection system.

[0040] refer to Figure 6 , S15: In the level change diagram, mark the dynamic level of each space in the detection area, and define the corresponding warning point according to the dynamic level of each space, the preset warning level and the duration, and define the real-time warning level of the underground pipe network according to the location of multiple warning points, the number of multiple warning points and the road section corresponding to the underground pipe network; In the specific implementation process of the present invention, the specific steps may be: S151: freeze the level change graph, and dynamically traverse the level change graph; S152: in the level change graph, associating each space in the detection area based on the detection system, and marking the dynamic level of each space in the detection area according to the dynamic interaction between the level change graph and each space in the detection area; S153: freeze the dynamic level of each space in the detection area; S154: Associating the locations of the multiple warning points, the number of the multiple warning points, and the road sections corresponding to the underground pipe network; S155: defining a real-time warning level of the underground pipe network based on the locations of the multiple warning points, the number of the multiple warning points, and the road sections corresponding to the underground pipe network.

[0041] In an embodiment of the present application, the level change graph is frozen and dynamically traversed. At the same time, in the level change graph, each space in the detection area is associated based on the detection system, and the dynamic level of each space in the detection area is marked according to the dynamic interaction between the level change graph and each space in the detection area. The dynamic interaction between the level change graph and each space in the detection area is introduced, and the control of the dynamic interaction between the level change graph and each space in the detection area is achieved. The marking of the dynamic level of each space in the detection area is ensured, and targeted management and control are performed on the dynamic level of each space in the detection area.

[0042] Therefore, the dynamic level of each space in the freeze detection area is determined; the locations of multiple warning points, the number of warning points and the road sections corresponding to the underground pipeline network are associated; the real-time warning level of the underground pipeline network is defined based on the locations of multiple warning points, the number of warning points and the road sections corresponding to the underground pipeline network, which is compatible with the overall consideration of the locations of multiple warning points, the number of warning points and the road sections corresponding to the underground pipeline network, and realizes multi-dimensional control of the locations of multiple warning points, the number of warning points and the road sections corresponding to the underground pipeline network, ensuring the accuracy of the real-time warning level of the underground pipeline network.

[0043] refer to Figure 7 , S16: monitoring multiple optical fiber sensors, and building a corresponding optical fiber system based on the multiple optical fiber sensors, and optimizing abnormal events of the multiple optical fiber sensors in the optical fiber system in real time to define a dynamic detection level of the detection area of ​​the underground pipe network, and triggering a multi-dimensional warning of the underground pipe network according to the dynamic detection level of the detection area of ​​the underground pipe network, the real-time warning level of the underground pipe network, and the load corresponding to the road section; In the specific implementation process of the present invention, the specific steps may be: S161: collecting locations of multiple optical fiber sensors, and triggering dynamic monitoring of the multiple optical fiber sensors according to the locations of the multiple optical fiber sensors; S162: collecting corresponding working states based on dynamic detection of multiple optical fiber sensors, and constructing a corresponding optical fiber system according to the multiple working states, the corresponding optical fiber sensors, and the collaborative relationship between the multiple optical fiber sensors; S163: Collecting abnormal events of multiple optical fiber sensors during operation; S164: optimizing abnormal events of multiple optical fiber sensors in the optical fiber system in real time to define a dynamic detection level of a detection area of ​​the underground pipe network; S165: Dynamic detection level of the detection area associated with the underground pipe network, real-time warning level of the underground pipe network, and load corresponding to the road section; S166: triggering a multi-dimensional warning of the underground pipe network according to the dynamic detection level of the detection area of ​​the underground pipe network, the real-time warning level of the underground pipe network, and the load corresponding to the road section.

[0044] In the specific implementation process of the present invention, the dynamic level of each space in the detection area is marked in the level change diagram, and the corresponding warning points are defined according to the dynamic level of each space, the preset warning level and the duration. The real-time warning level of the underground pipeline network is defined according to the locations of the multiple warning points, the number of the multiple warning points and the road section corresponding to the underground pipeline network; multiple optical fiber sensors are monitored, and a corresponding optical fiber system is constructed based on the multiple optical fiber sensors, and abnormal events of the multiple optical fiber sensors are optimized in real time in the optical fiber system to define the dynamic detection level of the detection area of ​​the underground pipeline network. The multi-dimensional warning of the underground pipeline network is triggered according to the dynamic detection level of the detection area of ​​the underground pipeline network, the real-time warning level of the underground pipeline network and the load corresponding to the road section, thereby ensuring the accuracy of the warning and the timeliness of the response of the underground pipeline network in multiple dimensions based on multiple optical fiber sensors.

[0045] At this time, the locations of multiple fiber optic sensors are collected, and dynamic monitoring of the multiple fiber optic sensors is triggered according to the locations of the multiple fiber optic sensors, so that the corresponding working states are collected based on the dynamic detection of the multiple fiber optic sensors, and the corresponding fiber optic system is constructed according to the multiple working states, the corresponding fiber optic sensors and the collaborative relationship between the multiple fiber optic sensors. The multiple working states, the corresponding fiber optic sensors and the collaborative relationship between the multiple fiber optic sensors are introduced, and the multi-dimensional interaction of the multiple working states, the corresponding fiber optic sensors and the collaborative relationship between the multiple fiber optic sensors is realized, which ensures the accuracy of the fiber optic system and facilitates self-control of the multiple fiber optic sensors.

[0046] Furthermore, abnormal events of multiple optical fiber sensors during their working process are collected; the abnormal events of multiple optical fiber sensors are optimized in real time in the optical fiber system to define the dynamic detection level of the detection area of ​​the underground pipe network, so as to gradually control the dynamic detection level of the detection area of ​​the underground pipe network through the abnormalities of the abnormal events of multiple optical fiber sensors, so as to facilitate self-regulation of the dynamic detection level of the detection area of ​​the underground pipe network.

[0047] Therefore, the dynamic detection level of the detection area of ​​the underground pipeline network, the real-time warning level of the underground pipeline network and the load corresponding to the road section are associated; the multi-dimensional warning of the underground pipeline network is triggered according to the dynamic detection level of the detection area of ​​the underground pipeline network, the real-time warning level of the underground pipeline network and the load corresponding to the road section, thereby ensuring the accuracy of the warning and timeliness of the response of the underground pipeline network in multiple dimensions based on multiple optical fiber sensors.

[0048] In an embodiment of the present invention, the underground pipeline network is located and the detection area of ​​the underground pipeline network is determined through the method in the embodiment of the present invention; the distribution position of each fiber optic sensor is defined based on the detection area of ​​the underground pipeline network, the pipe diameter of the underground pipeline network and the warning line of the fluid; real-time detection is triggered according to the distribution position of each fiber optic sensor, and the corresponding parameter combination is matched based on the distribution position of each fiber optic sensor; a detection system for the detection area is constructed based on each parameter combination, the corresponding detection position and the detection time period, and the level change diagram corresponding to the detection system is collected, and the level control is performed on the detection system. At the same time, it is compatible with the overall consideration of each parameter combination, the corresponding detection position and the detection time period, and realizes multi-dimensional control of each parameter combination, the corresponding detection position and the detection time period, thereby ensuring the accuracy of the detection system of the detection area.

[0049] Furthermore, in the level change diagram, the dynamic level of each space in the detection area is marked, and the corresponding warning points are defined according to the dynamic level of each space, the preset warning level and the duration, and the real-time warning level of the underground pipeline network is defined according to the locations of the multiple warning points, the number of the multiple warning points and the road section corresponding to the underground pipeline network; multiple fiber optic sensors are monitored, and a corresponding fiber optic system is constructed based on the multiple fiber optic sensors, and abnormal events of the multiple fiber optic sensors are optimized in real time in the fiber optic system to define the dynamic detection level of the detection area of ​​the underground pipeline network, and the multi-dimensional warning of the underground pipeline network is triggered according to the dynamic detection level of the detection area of ​​the underground pipeline network, the real-time warning level of the underground pipeline network and the load corresponding to the road section, thereby ensuring the accuracy of the warning and timeliness of the response of the underground pipeline network in multiple dimensions based on multiple fiber optic sensors.

[0050] See also Figure 8 , Figure 8 It is a schematic diagram of the structural composition of a multi-dimensional early warning system based on optical fiber sensing for underground pipe networks in an embodiment of the present invention.

[0051] like Figure 8 As shown, a multi-dimensional early warning system for underground pipe networks based on optical fiber sensing, the multi-dimensional early warning system for underground pipe networks based on optical fiber sensing includes: A positioning module 21 is used to locate the underground pipe network and determine the detection area of ​​the underground pipe network; A distribution location module 22, used to define the distribution location of each optical fiber sensor based on the detection area of ​​the underground pipe network, the pipe diameter of the underground pipe network and the early warning line of the fluid; A parameter combination module 23, used to trigger real-time detection according to the distribution position of each optical fiber sensor, and match the corresponding parameter combination based on the distribution position of each optical fiber sensor; The level change diagram module 24 is used to construct a detection system for the detection area based on various parameter combinations, corresponding detection positions and detection time periods, and collect a level change diagram corresponding to the detection system; The real-time warning level module 25 is used to mark the dynamic level of each space in the detection area in the level change diagram, and define the corresponding warning points according to the dynamic level of each space, the preset warning level and the duration, and define the real-time warning level of the underground pipe network according to the location of multiple warning points, the number of multiple warning points and the road section corresponding to the underground pipe network; The multi-dimensional early warning module 26 is used to monitor multiple optical fiber sensors, build a corresponding optical fiber system based on the multiple optical fiber sensors, and optimize the abnormal events of the multiple optical fiber sensors in real time in the optical fiber system to define the dynamic detection level of the detection area of ​​the underground pipeline network, and trigger the multi-dimensional early warning of the underground pipeline network according to the dynamic detection level of the detection area of ​​the underground pipeline network, the real-time early warning level of the underground pipeline network and the load corresponding to the road section.

[0052] 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.

[0053] 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).

[0054] 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.

[0055] 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 .

[0056] 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.

[0057] 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.

[0058] 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.

[0059] 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.

[0060] 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.

[0061] In addition, the above is a detailed introduction to the multi-dimensional early warning method and system based on optical fiber sensing for underground pipelines 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. A multi-dimensional early warning method for underground pipe network based on optical fiber sensing, characterized in that: Applied to multi-dimensional early warning scenarios based on optical fiber sensing in underground pipeline networks; The multi-dimensional early warning method of the underground pipe network based on optical fiber sensing includes: Locate the underground pipe network and determine the detection area of ​​the underground pipe network; The distribution location of each optical fiber sensor is defined based on the detection area of ​​the underground pipe network, the pipe diameter of the underground pipe network and the early warning line of the fluid; Triggering real-time detection according to the distribution position of each optical fiber sensor, and matching the corresponding parameter combination based on the distribution position of each optical fiber sensor; A detection system for the detection area is constructed based on various parameter combinations, corresponding detection locations, and detection time periods, and a level change diagram corresponding to the detection system is collected; In the level change diagram, the dynamic level of each space in the detection area is marked, and the corresponding warning points are defined according to the dynamic level of each space, the preset warning level and the duration. The real-time warning level of the underground pipe network is defined according to the location of multiple warning points, the number of multiple warning points and the road section corresponding to the underground pipe network; Monitor multiple fiber optic sensors, build a corresponding fiber optic system based on the multiple fiber optic sensors, and optimize the abnormal events of multiple fiber optic sensors in real time in the fiber optic system to define the dynamic detection level of the detection area of ​​the underground pipeline network, and trigger the multi-dimensional warning of the underground pipeline network according to the dynamic detection level of the detection area of ​​the underground pipeline network, the real-time warning level of the underground pipeline network and the load corresponding to the road section.

2. The multi-dimensional early warning method based on optical fiber sensing for underground pipe networks according to claim 1 is characterized in that: The method of locating the underground pipe network and determining the detection area of ​​the underground pipe network includes: Collect the location of underground pipe network; Triggering the positioning of the underground pipe network according to the location of the underground pipe network; Conduct positioning detection on underground pipe networks; In the positioning detection of underground pipe networks, the fluid path of the underground pipe network is collected; The detection area of ​​the underground pipe network is determined according to the fluid path, the corresponding branch point and the pipe diameter of the underground pipe network.

3. The multi-dimensional early warning method based on optical fiber sensing for underground pipe networks according to claim 1 is characterized in that: The distribution positions of the optical fiber sensors are defined based on the detection area of ​​the underground pipe network, the pipe diameter of the underground pipe network and the early warning line of the fluid, including: Determine the detection area of ​​the underground pipe network; Divide the detection area of ​​the underground pipe network and the road section corresponding to the underground pipe network into multiple sub-pipeline spaces; triggering self-regulation of the plurality of sub-pipe spaces according to the plurality of sub-pipe spaces, the turbidity level of the fluid, and the flow rate of the fluid, so as to reasonably distribute the plurality of sub-pipe spaces; The diameter of underground pipe network and the early warning line of fluid based on multiple sub-pipeline spaces; A first position coefficient is defined according to the plurality of sub-pipeline spaces and the pipe diameter of the underground pipe network; a second position coefficient is defined according to the plurality of sub-pipeline spaces and the early warning line of the fluid; The distribution position of each optical fiber sensor is defined based on the second position coefficient, the first position coefficient and the position distribution table corresponding to the underground pipe network.

4. The multi-dimensional early warning method for underground pipe network based on optical fiber sensing according to claim 3 is characterized in that: The real-time detection is triggered according to the distribution position of each optical fiber sensor, and the corresponding parameter combination is matched based on the distribution position of each optical fiber sensor, including: Freeze the distribution position of each optical fiber sensor; Define corresponding detection modes according to the distribution locations of each optical fiber sensor, the service life of each optical fiber sensor and the corresponding detection dimensions; Triggering each optical fiber sensor to detect the fluid in real time along the detection mode; Collect multiple fluid parameters based on real-time detection of the fluid by each optical fiber sensor; associating a plurality of fluid parameters, corresponding locations, and differences in the plurality of fluid parameters; Multi-dimensional matching is performed based on multiple fluid parameters, corresponding positions, and differences in the multiple fluid parameters to match corresponding parameter combinations.

5. The multi-dimensional early warning method based on optical fiber sensing for underground pipe networks according to claim 4 is characterized in that: The detection system of the detection area is constructed based on various parameter combinations, corresponding detection positions and detection time periods, and the level change diagram corresponding to the detection system is collected, including: The parameter combination corresponding to the freeze frame; Defining a corresponding matching coefficient based on matching of multiple parameter combinations; If the matching coefficient is lower than the preset matching coefficient, the corresponding abnormal parameters are screened based on multiple detections of multiple parameter combinations, and each optimized parameter combination is formed by optimizing the abnormal parameters; Associating the optimized parameter combinations, the corresponding detection positions and the detection time periods, and building a detection system for the detection area based on the optimized parameter combinations, the corresponding detection positions and the detection time periods; As time goes by, collect the detection level of the detection system in each time period; A corresponding detection level set is constructed based on multiple detection levels, and a corresponding level change graph is matched according to the detection level set to acquire the level change graph corresponding to the detection system.

6. The multi-dimensional early warning method based on optical fiber sensing for underground pipe networks according to claim 5 is characterized in that: In the level change diagram, the dynamic level of each space in the detection area is marked, and the corresponding warning points are defined according to the dynamic level of each space, the preset warning level and the duration, and the real-time warning level of the underground pipe network is defined according to the location of multiple warning points, the number of multiple warning points and the road section corresponding to the underground pipe network, including: Freeze the level change graph, and dynamically traverse the level change graph; In the level change diagram, each space in the detection area is associated based on the detection system, and the dynamic level of each space in the detection area is marked according to the dynamic interaction between the level change diagram and each space in the detection area.

7. The multi-dimensional early warning method based on optical fiber sensing for underground pipe networks according to claim 6 is characterized in that: In the level change diagram, the dynamic level of each space in the detection area is marked, and the corresponding warning points are defined according to the dynamic level of each space, the preset warning level and the duration, and the real-time warning level of the underground pipe network is defined according to the location of multiple warning points, the number of multiple warning points and the road section corresponding to the underground pipe network, and also includes: Freeze the dynamic levels of each space in the detection area; Associating the locations of multiple warning points, the number of multiple warning points, and the road sections corresponding to the underground pipe network; The real-time warning level of the underground pipeline network is defined based on the locations of the multiple warning points, the number of the multiple warning points, and the road sections corresponding to the underground pipeline network.

8. The multi-dimensional early warning method for underground pipe network based on optical fiber sensing according to claim 7 is characterized in that: The monitoring of multiple optical fiber sensors, and building a corresponding optical fiber system based on the multiple optical fiber sensors, and optimizing the abnormal events of the multiple optical fiber sensors in real time in the optical fiber system to define the dynamic detection level of the detection area of ​​the underground pipe network, triggering a multi-dimensional warning of the underground pipe network according to the dynamic detection level of the detection area of ​​the underground pipe network, the real-time warning level of the underground pipe network and the load corresponding to the road section, include: Collecting the locations of multiple optical fiber sensors, and triggering dynamic monitoring of the multiple optical fiber sensors according to the locations of the multiple optical fiber sensors; Based on the dynamic detection of multiple optical fiber sensors, the corresponding working status is collected, and the corresponding optical fiber system is constructed according to the multiple working statuses, the corresponding optical fiber sensors and the cooperative relationship between the multiple optical fiber sensors.

9. The multi-dimensional early warning method based on optical fiber sensing for underground pipe networks according to claim 8 is characterized in that: The method includes monitoring a plurality of optical fiber sensors, building a corresponding optical fiber system based on the plurality of optical fiber sensors, and optimizing abnormal events of the plurality of optical fiber sensors in the optical fiber system in real time to define a dynamic detection level of a detection area of ​​an underground pipe network, triggering a multi-dimensional warning of the underground pipe network according to the dynamic detection level of the detection area of ​​the underground pipe network, the real-time warning level of the underground pipe network, and the load corresponding to the road section, and further includes: Collect abnormal events of multiple fiber optic sensors during operation; Optimizing abnormal events of multiple optical fiber sensors in real time in the optical fiber system to define dynamic detection levels of detection areas of underground pipe networks; Dynamic detection level of the detection area associated with the underground pipe network, real-time warning level of the underground pipe network and the load corresponding to the road section; A multi-dimensional warning of the underground pipeline network is triggered according to the dynamic detection level of the detection area of ​​the underground pipeline network, the real-time warning level of the underground pipeline network and the load corresponding to the road section.

10. A multi-dimensional early warning system for underground pipe networks based on optical fiber sensing, characterized in that: The multi-dimensional early warning system based on optical fiber sensing for underground pipe networks is applied to the multi-dimensional early warning method based on optical fiber sensing for underground pipe networks as claimed in any one of claims 1 to 9, and the multi-dimensional early warning system based on optical fiber sensing for underground pipe networks comprises: A positioning module is used to locate the underground pipe network and determine the detection area of ​​the underground pipe network; A distribution location module is used to define the distribution location of each optical fiber sensor based on the detection area of ​​the underground pipe network, the pipe diameter of the underground pipe network and the early warning line of the fluid; A parameter combination module is used to trigger real-time detection according to the distribution position of each optical fiber sensor, and match the corresponding parameter combination based on the distribution position of each optical fiber sensor; The level change diagram module is used to construct a detection system for the detection area based on various parameter combinations, corresponding detection positions and detection time periods, and collect the level change diagram corresponding to the detection system; The real-time warning level module is used to mark the dynamic level of each space in the detection area in the level change diagram, and define the corresponding warning points according to the dynamic level of each space, the preset warning level and the duration, and define the real-time warning level of the underground pipe network according to the location of multiple warning points, the number of multiple warning points and the road section corresponding to the underground pipe network; The multi-dimensional early warning module is used to monitor multiple fiber optic sensors, build a corresponding fiber optic system based on the multiple fiber optic sensors, and optimize the abnormal events of multiple fiber optic sensors in real time in the fiber optic system to define the dynamic detection level of the detection area of ​​the underground pipeline network, and trigger the multi-dimensional early warning of the underground pipeline network according to the dynamic detection level of the detection area of ​​the underground pipeline network, the real-time early warning level of the underground pipeline network and the load corresponding to the road section.

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