Geological disaster monitoring method and system based on distributed optical fiber sensor

Abstract

The present invention discloses a method and system for monitoring geological disasters based on distributed optical fiber sensors, which divides a plurality of spatial modules based on a spatial model of an area to be monitored, defines a distribution path of distributed optical fiber sensors based on the plurality of spatial modules, and controls the distribution path of distributed optical fiber sensors. Multiple geological disaster monitoring models are constructed according to the parameter characteristics of each geological disaster scene, the corresponding optical signal change characteristics, and the sound wave change characteristics. The multiple geological disaster monitoring models match different geological disaster scenes. At the same time, the monitoring results are defined according to the geological disaster monitoring model and the real-time parameter set, and the geological disaster information of the area to be monitored is determined based on the abnormal part and the monitoring result, which is compatible with the overall consideration of the abnormal part and the monitoring result, and the abnormal part and the monitoring result are controlled in multiple dimensions, thereby ensuring the accuracy of the geological disaster information of the area to be monitored and the early warning effect of the geological disaster.

Description

Technical Field

[0001] The present invention relates to the technical field of geological disaster monitoring, and in particular to a geological disaster monitoring method and system based on distributed optical fiber sensors. Background Art

[0002] With the development of science and technology, severe weather or vibrations between multiple mountains will cause corresponding geological disasters. In the existing technology, the management and control of geological disasters requires the collection of multiple geological data, and geological data collection is carried out at the main monitoring points, which is not continuous data collection. At the same time, the assessment of geological disasters based on multiple geological data does not take into account the abnormal parts of multiple geological data, which affects the accuracy of geological disaster information in the monitored area. 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 geological disaster monitoring method and system based on distributed optical fiber sensors, locates the area to be monitored, and defines the spatial model of the area to be monitored according to the three-dimensional contour of the area to be monitored; divides a plurality of spatial modules based on the spatial model of the area to be monitored, and defines the distribution path of the distributed optical fiber sensor based on the plurality of spatial modules. The distribution path of the distributed optical fiber sensor is continuous and closed-loop. The distribution path of the distributed optical fiber sensor is controlled, and the area to be monitored is fully considered to improve the adaptability of the distribution path of the distributed optical fiber sensor.

[0004] Furthermore, parameter characteristics of each geological disaster scene are defined according to the distribution path and the virtual disaster scene test; multiple geological disaster monitoring models are constructed according to the parameter characteristics of each geological disaster scene, the corresponding light signal change characteristics and the sound wave change characteristics, the multiple geological disaster monitoring models match different geological disaster scenes, and the targeted monitoring in different geological disaster scenes is ensured, and the matching coefficient is defined based on the real-time parameter set and the multiple geological disaster monitoring models, the geological disaster monitoring model with the highest matching coefficient is used as the current monitoring model of the monitored area, the monitoring results are defined according to the geological disaster monitoring model and the real-time parameter set, and multiple abnormal parameters are defined based on the screening of the real-time parameter set, the abnormal part of the monitored area is defined according to the multiple abnormal parameters, the abnormal part and the monitoring results are associated, and the geological disaster information of the monitored area is determined based on the abnormal part and the monitoring results, which is compatible with the overall consideration of the abnormal part and the monitoring results, and the abnormal part and the monitoring results are controlled in multiple dimensions, ensuring the accuracy of the geological disaster information of the monitored area, realizing the preview of the geological disaster location, geological disaster level and theoretical duration, and ensuring the early warning effect of the geological disaster.

[0005] The embodiment of the present invention provides a geological disaster monitoring method based on distributed optical fiber sensors, which is applied to geological disaster monitoring scenarios based on distributed optical fiber sensors;

[0006] The geological disaster monitoring method based on distributed optical fiber sensors comprises:

[0007] Locate the area to be monitored, and define a spatial model of the area to be monitored according to the three-dimensional contour of the area to be monitored;

[0008] Divide a plurality of spatial modules based on a spatial model of the area to be monitored, and define a distribution path of a distributed optical fiber sensor based on the plurality of spatial modules, wherein the distribution path of the distributed optical fiber sensor is continuous and in a closed loop form;

[0009] Defining parameter characteristics of each geological disaster scenario based on the distribution path and virtual disaster scenario testing;

[0010] Multiple geological disaster monitoring models are constructed according to the parameter characteristics of each geological disaster scene, the corresponding light signal change characteristics, and the sound wave change characteristics. At this time, multiple geological disaster monitoring models match different geological disaster scenes and are associated with the areas to be monitored;

[0011] Collect multiple real-time parameters in the area to be monitored, construct a corresponding real-time parameter set according to the multiple real-time parameters, define a matching coefficient based on the real-time parameter set and multiple geological disaster monitoring models, and use the geological disaster monitoring model with the highest matching coefficient as the current monitoring model of the area to be monitored;

[0012] The monitoring results are defined according to the geological disaster monitoring model and the real-time parameter set, and multiple abnormal parameters are defined based on the real-time parameter set. The abnormal part of the area to be monitored is defined according to the multiple abnormal parameters. The geological disaster information of the area to be monitored is determined based on the abnormal part and the monitoring results. The geological disaster information includes the location of the geological disaster, the level of the geological disaster and the theoretical duration.

[0013] Optionally, the locating the area to be monitored and defining a spatial model of the area to be monitored according to a three-dimensional contour of the area to be monitored includes:

[0014] Collecting past geological disaster information of multiple mountains, and defining multiple geological disaster areas and past geological disaster levels based on the past geological disaster information of multiple mountains;

[0015] Defining relative distances according to multiple geological hazard areas, and defining attenuation coefficients based on the relative distances and the amount of change in the previous geological hazard levels;

[0016] Construct the area to be monitored based on the location, relative distance and attenuation coefficient of multiple geological disaster areas, and locate the area to be monitored;

[0017] Carry out positioning detection on the area to be monitored and collect the three-dimensional contour of the area to be monitored;

[0018] A spatial model of the area to be monitored is defined based on the recognition of the three-dimensional contour of the area to be monitored.

[0019] Optionally, the spatial model of the area to be monitored is divided into a plurality of spatial modules, and a distribution path of a distributed optical fiber sensor is defined based on the plurality of spatial modules, and the distribution path of the distributed optical fiber sensor is continuous and closed-loop, including:

[0020] Freeze the spatial model of the area to be monitored;

[0021] Traversing the spatial model of the area to be monitored, and dividing the spatial modules according to the spatial model of the area to be monitored, the boundary lines between multiple mountains, and the height boundary lines, so as to output multiple spatial modules;

[0022] Mark multiple spatial modules and construct conjoined distribution areas based on multiple spatial modules and previous geological disaster occurrence points;

[0023] The conjoined distribution area is fixed, and multiple monitoring spaces are divided according to the conjoined distribution area, and corresponding sub-distribution paths are defined based on the multiple monitoring spaces and the topography of the mountain;

[0024] Collecting a plurality of sub-distribution paths, and defining a distribution path of a distributed optical fiber sensor based on connections of the plurality of sub-distribution paths;

[0025] In the distribution path of the distributed optical fiber sensor, the connection points between multiple sub-distribution paths are located, the optimization of the arc path is triggered based on the connection points, and closed-loop processing is performed based on the beginning and end of the distribution path of the distributed optical fiber sensor. At this time, the distribution path of the distributed optical fiber sensor is continuous and closed-loop.

[0026] Optionally, the test of defining parameter characteristics of each geological disaster scene according to the distribution path and the virtual disaster scene includes:

[0027] Freeze the distribution path;

[0028] Distributed optical fiber sensors are arranged according to the distribution path so that the distributed optical fiber sensors are distributed in the area to be monitored, and the area to be monitored is monitored in real time;

[0029] Input the model of the area to be monitored, the distribution path and the distributed optical fiber sensor into the virtual model, and build a virtual test scene based on the virtual model;

[0030] Associating the virtual test scenario with the disaster level parameter, and defining the virtual disaster scenario based on the virtual test scenario and the disaster level parameter;

[0031] Conduct geological disaster tests based on virtual disaster scenarios, geological disaster types and distribution paths;

[0032] Based on the geological disaster test, the corresponding geological disaster scene is matched, and the corresponding parameter characteristics are defined in each geological disaster scene.

[0033] Optionally, multiple geological disaster monitoring models are constructed according to the parameter characteristics of each geological disaster scene, the corresponding light signal change characteristics, and the sound wave change characteristics. At this time, multiple geological disaster monitoring models match different geological disaster scenes and are associated with the area to be monitored, including:

[0034] Freeze the parameter characteristics of each geological disaster scene, including the scope of the loss area, the degree of land tilt, the amount of soil erosion, and the vibration amplitude level;

[0035] Conduct optical signal testing based on geological disaster scenarios and distributed optical fiber sensors, associate optical signal testing with geological disaster time, and define optical signal change characteristics based on optical signal testing and geological disaster time;

[0036] Perform acoustic wave tests based on geological disaster scenarios and distributed optical fiber sensors, associate acoustic wave tests with geological disaster times, and define acoustic wave change characteristics based on acoustic wave tests and geological disaster times;

[0037] Correlate the parameter characteristics of each geological disaster scene, the corresponding light signal change characteristics, and the sound wave change characteristics;

[0038] Construct multiple geological disaster monitoring models based on the parameter characteristics of each geological disaster scene, the corresponding light signal change characteristics, and the sound wave change characteristics;

[0039] Multiple geological disaster monitoring models match different geological disaster scenarios and are associated with the areas to be monitored.

[0040] Optionally, the collecting of multiple real-time parameters in the area to be monitored, constructing a corresponding real-time parameter set according to the multiple real-time parameters, defining a matching coefficient based on the real-time parameter set and multiple geological disaster monitoring models, and using the geological disaster monitoring model with the highest matching coefficient as the current monitoring model of the area to be monitored, includes:

[0041] Real-time monitoring of the area to be monitored;

[0042] Collect multiple real-time parameters in the area to be monitored;

[0043] A corresponding real-time parameter set is constructed according to multiple real-time parameters.

[0044] Optionally, the collecting of multiple real-time parameters in the area to be monitored, constructing a corresponding real-time parameter set according to the multiple real-time parameters, defining a matching coefficient based on the real-time parameter set and multiple geological disaster monitoring models, and using the geological disaster monitoring model with the highest matching coefficient as the current monitoring model of the area to be monitored, further includes:

[0045] Associating real-time parameter sets and multiple geohazard monitoring models;

[0046] Defining corresponding matching coefficients based on the real-time parameter set and the matching of multiple geological disaster monitoring models;

[0047] The corresponding geological disaster monitoring model is selected according to the real-time parameter set, and the highest matching coefficient is defined based on the size comparison of the matching coefficient;

[0048] The geological disaster monitoring model with the highest matching coefficient is used as the current monitoring model for the area to be monitored.

[0049] Optionally, the monitoring results are defined according to the geological disaster monitoring model and the real-time parameter set, and multiple abnormal parameters are defined based on the real-time parameter set, and the abnormal part of the area to be monitored is defined according to the multiple abnormal parameters, and the geological disaster information of the area to be monitored is determined based on the abnormal part and the monitoring results, and the geological disaster information includes the geological disaster location, geological disaster level and theoretical duration, including:

[0050] Freeze the geological disaster monitoring model and the area to be monitored;

[0051] Calculations are performed based on the geological disaster monitoring model and the real-time parameter set, and monitoring results are defined according to the geological disaster monitoring model and the real-time parameter set.

[0052] Optionally, the monitoring results are defined according to the geological disaster monitoring model and the real-time parameter set, and a plurality of abnormal parameters are defined based on the real-time parameter set, an abnormal part of the area to be monitored is defined according to the plurality of abnormal parameters, and geological disaster information of the area to be monitored is determined based on the abnormal part and the monitoring results, the geological disaster information including the location of the geological disaster, the level of the geological disaster and the theoretical duration, and also includes:

[0053] Defining multiple abnormal parameters based on the screening of real-time parameter sets;

[0054] Defining an abnormal part of the area to be monitored according to a plurality of abnormal parameters;

[0055] Associating the abnormal part with the monitoring result, and matching the information between the abnormal part and the monitoring result;

[0056] The geological disaster information of the area to be monitored is determined based on the information matching of the abnormal part and the monitoring result, and the geological disaster information includes the location of the geological disaster, the level of the geological disaster and the theoretical duration.

[0057] In addition, an embodiment of the present invention further provides a geological disaster monitoring system based on a distributed optical fiber sensor, and the geological disaster monitoring system based on a distributed optical fiber sensor includes:

[0058] A positioning module is used to locate the area to be monitored and define a spatial model of the area to be monitored according to the three-dimensional contour of the area to be monitored;

[0059] A distribution path module, which is used to divide a plurality of space modules based on a space model of the area to be monitored, and define a distribution path of a distributed optical fiber sensor based on the plurality of space modules, wherein the distribution path of the distributed optical fiber sensor is continuous and in a closed loop form;

[0060] A parameter feature module is used to define the parameter features of each geological disaster scenario according to the distribution path and the virtual disaster scenario test;

[0061] The scene module is used to construct multiple geological disaster monitoring models according to the parameter characteristics of each geological disaster scene, the corresponding light signal change characteristics and the sound wave change characteristics. At this time, multiple geological disaster monitoring models match different geological disaster scenes and are associated with the area to be monitored;

[0062] A matching module is used to collect multiple real-time parameters in the area to be monitored, construct a corresponding real-time parameter set according to the multiple real-time parameters, define a matching coefficient based on the real-time parameter set and multiple geological disaster monitoring models, and use the geological disaster monitoring model with the highest matching coefficient as the current monitoring model of the area to be monitored;

[0063] The geological disaster module is used to define the monitoring results according to the geological disaster monitoring model and the real-time parameter set, and define multiple abnormal parameters based on the real-time parameter set, define the abnormal part of the area to be monitored according to the multiple abnormal parameters, and determine the geological disaster information of the area to be monitored based on the abnormal part and the monitoring results. The geological disaster information includes the location of the geological disaster, the level of the geological disaster and the theoretical duration.

[0064] In an embodiment of the present invention, through the method in the embodiment of the present invention, the area to be monitored is located, and the spatial model of the area to be monitored is defined according to the three-dimensional contour of the area to be monitored; multiple spatial modules are divided based on the spatial model of the area to be monitored, and the distribution path of the distributed optical fiber sensor is defined based on the multiple spatial modules. The distribution path of the distributed optical fiber sensor is continuous and closed-loop. The distribution path of the distributed optical fiber sensor is controlled, and the area to be monitored is fully considered to improve the adaptability of the distribution path of the distributed optical fiber sensor.

[0065] Furthermore, parameter characteristics of each geological disaster scene are defined according to the distribution path and the virtual disaster scene test; multiple geological disaster monitoring models are constructed according to the parameter characteristics of each geological disaster scene, the corresponding light signal change characteristics and the sound wave change characteristics, the multiple geological disaster monitoring models match different geological disaster scenes, and the targeted monitoring in different geological disaster scenes is ensured, and the matching coefficient is defined based on the real-time parameter set and the multiple geological disaster monitoring models, the geological disaster monitoring model with the highest matching coefficient is used as the current monitoring model of the monitored area, the monitoring results are defined according to the geological disaster monitoring model and the real-time parameter set, and multiple abnormal parameters are defined based on the screening of the real-time parameter set, the abnormal part of the monitored area is defined according to the multiple abnormal parameters, the abnormal part and the monitoring results are associated, and the geological disaster information of the monitored area is determined based on the abnormal part and the monitoring results, which is compatible with the overall consideration of the abnormal part and the monitoring results, and the abnormal part and the monitoring results are controlled in multiple dimensions, ensuring the accuracy of the geological disaster information of the monitored area, realizing the preview of the geological disaster location, geological disaster level and theoretical duration, and ensuring the early warning effect of the geological disaster. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0067] Figure 1 is a schematic flow chart of a geological disaster monitoring method based on distributed optical fiber sensors in an embodiment of the present invention;

[0068] Figure 2 is a flow chart of S11 in the geological disaster monitoring method based on distributed optical fiber sensors in an embodiment of the present invention;

[0069] Figure 3 is a schematic flow chart of S12 in the geological disaster monitoring method based on distributed optical fiber sensors in an embodiment of the present invention;

[0070] Figure 4 is a schematic flow chart of S13 in the geological disaster monitoring method based on distributed optical fiber sensors in an embodiment of the present invention;

[0071] Figure 5 is a schematic flow chart of S14 in the geological disaster monitoring method based on distributed optical fiber sensors in an embodiment of the present invention;

[0072] Figure 6 is a flow chart of S15 in the geological disaster monitoring method based on distributed optical fiber sensors in an embodiment of the present invention;

[0073] Figure 7 is a flow chart of S16 in the geological disaster monitoring method based on distributed optical fiber sensors in an embodiment of the present invention;

[0074] Figure 8 Schematic diagram of the structure of a geological disaster monitoring system based on distributed optical fiber sensors in an embodiment of the present invention;

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

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

[0077] See also Figures 1 to 9 , a geological disaster monitoring method based on distributed optical fiber sensors, applied to geological disaster monitoring scenarios based on distributed optical fiber sensors; the geological disaster monitoring method based on distributed optical fiber sensors includes:

[0078] Step S11: Locate the area to be monitored, and define a spatial model of the area to be monitored according to the three-dimensional contour of the area to be monitored;

[0079] Step S12: dividing a plurality of spatial modules based on the spatial model of the area to be monitored, and defining a distribution path of a distributed optical fiber sensor based on the plurality of spatial modules, wherein the distribution path of the distributed optical fiber sensor is continuous and in a closed loop form;

[0080] Step S13: defining parameter characteristics of each geological disaster scenario according to the distribution path and the virtual disaster scenario test;

[0081] Step S14: construct multiple geological disaster monitoring models according to the parameter characteristics of each geological disaster scene, the corresponding light signal change characteristics and the sound wave change characteristics. At this time, multiple geological disaster monitoring models match different geological disaster scenes and are associated with the area to be monitored;

[0082] Step S15: collecting multiple real-time parameters in the area to be monitored, constructing a corresponding real-time parameter set according to the multiple real-time parameters, defining a matching coefficient based on the real-time parameter set and multiple geological disaster monitoring models, and taking the geological disaster monitoring model with the highest matching coefficient as the current monitoring model of the area to be monitored;

[0083] Step S16: Define the monitoring results according to the geological disaster monitoring model and the real-time parameter set, and define multiple abnormal parameters based on the real-time parameter set, define the abnormal part of the area to be monitored according to the multiple abnormal parameters, and determine the geological disaster information of the area to be monitored based on the abnormal part and the monitoring results, and the geological disaster information includes the geological disaster location, geological disaster level and theoretical duration.

[0084] In an embodiment of the present invention, through the method in the embodiment of the present invention, the area to be monitored is located, and the spatial model of the area to be monitored is defined according to the three-dimensional contour of the area to be monitored; multiple spatial modules are divided based on the spatial model of the area to be monitored, and the distribution path of the distributed optical fiber sensor is defined based on the multiple spatial modules. The distribution path of the distributed optical fiber sensor is continuous and closed-loop. The distribution path of the distributed optical fiber sensor is controlled, and the area to be monitored is fully considered to improve the adaptability of the distribution path of the distributed optical fiber sensor.

[0085] Furthermore, parameter characteristics of each geological disaster scene are defined according to the distribution path and the virtual disaster scene test; multiple geological disaster monitoring models are constructed according to the parameter characteristics of each geological disaster scene, the corresponding light signal change characteristics and the sound wave change characteristics, the multiple geological disaster monitoring models match different geological disaster scenes, and the targeted monitoring in different geological disaster scenes is ensured, and the matching coefficient is defined based on the real-time parameter set and the multiple geological disaster monitoring models, the geological disaster monitoring model with the highest matching coefficient is used as the current monitoring model of the monitored area, the monitoring results are defined according to the geological disaster monitoring model and the real-time parameter set, and multiple abnormal parameters are defined based on the screening of the real-time parameter set, the abnormal part of the monitored area is defined according to the multiple abnormal parameters, the abnormal part and the monitoring results are associated, and the geological disaster information of the monitored area is determined based on the abnormal part and the monitoring results, which is compatible with the overall consideration of the abnormal part and the monitoring results, and the abnormal part and the monitoring results are controlled in multiple dimensions, ensuring the accuracy of the geological disaster information of the monitored area, realizing the preview of the geological disaster location, geological disaster level and theoretical duration, and ensuring the early warning effect of the geological disaster.

[0086] refer to Figure 2 , in step S11, the area to be monitored is located, and a spatial model of the area to be monitored is defined according to the three-dimensional contour of the area to be monitored;

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

[0088] S111: collecting past geological disaster information of multiple mountains, and defining multiple geological disaster areas and past geological disaster levels based on the past geological disaster information of the multiple mountains;

[0089] S112: defining a relative distance according to a plurality of geological disaster areas, and defining an attenuation coefficient based on the relative distance and a change in the previous geological disaster level;

[0090] S113: constructing a monitoring area based on the locations, relative distances and attenuation coefficients of multiple geological disaster areas, and locating the monitoring area;

[0091] S114: Performing positioning detection on the area to be monitored and collecting the three-dimensional contour of the area to be monitored;

[0092] S115: Defining a spatial model of the area to be monitored based on the recognition of the three-dimensional contour of the area to be monitored.

[0093] In an embodiment of the present application, past geological disaster information of multiple mountains is collected, and multiple geological disaster areas and past geological disaster levels are defined based on the past geological disaster information of multiple mountains, so that past geological disasters can be controlled based on the past geological disaster information of multiple mountains, and then multiple geological disaster areas and past geological disaster levels can be controlled.

[0094] At this time, the relative distance is defined according to multiple geological disaster areas, and the attenuation coefficient is defined based on the relative distance and the change in previous geological disaster levels. This is compatible with the overall consideration of the relative distance and the change in previous geological disaster levels, and the change in relative distance and previous geological disaster levels is controlled in multiple dimensions to facilitate the control of the attenuation coefficient and ensure the accuracy of the attenuation coefficient.

[0095] Therefore, the monitored area is constructed based on the locations, relative distances and attenuation coefficients of multiple geological disaster areas, so as to facilitate multi-dimensional control of the locations, relative distances and attenuation coefficients of multiple geological disaster areas. The overall control of the locations, relative distances and attenuation coefficients of multiple geological disaster areas is introduced to ensure the accuracy of the monitored area, and then locate the monitored area.

[0096] At the same time, positioning detection is carried out on the area to be monitored, and the three-dimensional contour of the area to be monitored is collected, so as to control the three-dimensional contour of the area to be monitored, and then identify the three-dimensional contour of the area to be monitored, so as to define the spatial model of the area to be monitored based on the identification of the three-dimensional contour of the area to be monitored.

[0097] refer to Figure 3In step S12, a plurality of spatial modules are divided based on the spatial model of the area to be monitored, and a distribution path of a distributed optical fiber sensor is defined based on the plurality of spatial modules, wherein the distribution path of the distributed optical fiber sensor is continuous and closed-loop;

[0098] In the specific implementation process of the present invention, the specific steps may be:

[0099] S121: freeze the spatial model of the area to be monitored;

[0100] S122: traversing the spatial model of the area to be monitored, and dividing the spatial model of the area to be monitored, the boundary lines between multiple mountains, and the height boundary lines into spatial modules to output multiple spatial modules;

[0101] S123: marking multiple spatial modules, and constructing a conjoined distribution area based on the multiple spatial modules and previous geological disaster occurrence points;

[0102] S124: freeze the conjoined distribution area, divide the conjoined distribution area into multiple monitoring spaces, and define corresponding sub-distribution paths based on the multiple monitoring spaces and the topography of the mountain;

[0103] S125: collecting a plurality of sub-distribution paths, and defining a distribution path of the distributed optical fiber sensor based on connections of the plurality of sub-distribution paths;

[0104] S126: In the distribution path of the distributed optical fiber sensor, locate the connection between multiple sub-distribution paths, trigger the optimization of the arc path based on the connection, and perform closed-loop processing based on the beginning and end of the distribution path of the distributed optical fiber sensor. At this time, the distribution path of the distributed optical fiber sensor is continuous and closed-loop.

[0105] In an embodiment of the present application, the area to be monitored is located, and a spatial model of the area to be monitored is defined according to the three-dimensional contour of the area to be monitored; a plurality of spatial modules are divided based on the spatial model of the area to be monitored, and a distribution path of a distributed optical fiber sensor is defined based on the plurality of spatial modules. The distribution path of the distributed optical fiber sensor is continuous and closed-loop. The distribution path of the distributed optical fiber sensor is controlled, and the area to be monitored is fully considered to improve the adaptability of the distribution path of the distributed optical fiber sensor.

[0106] At this time, the spatial model of the area to be monitored is frozen to facilitate traversal of the spatial model of the area to be monitored, and the spatial model of the area to be monitored, the boundary lines between multiple mountains, and the height dividing lines are divided into spatial modules to output multiple spatial modules; at this time, multi-dimensional control is performed on the spatial model of the area to be monitored, the boundary lines between multiple mountains, and the height dividing lines, thereby realizing multi-dimensional control of the spatial model of the area to be monitored, the boundary lines between multiple mountains, and the height dividing lines.

[0107] At the same time, multiple spatial modules are marked, and contiguous distribution areas are constructed based on multiple spatial modules and previous geological disaster occurrence points, so as to facilitate the control of multiple spatial modules and previous geological disaster occurrence points, and fully consider the previous geological disaster occurrence points to achieve accurate control of contiguous distribution areas.

[0108] Furthermore, the conjoined distribution area is fixed, and multiple monitoring spaces are divided according to the conjoined distribution area. The corresponding sub-distribution paths are defined based on the multiple monitoring spaces and the topography of the mountain, thereby introducing sub-distribution paths and realizing the control of multiple sub-distribution paths. At the same time, multiple sub-distribution paths are collected, and the distribution path of the distributed optical fiber sensor is defined based on the connection of the multiple sub-distribution paths.

[0109] Therefore, in the distribution path of the distributed optical fiber sensor, the connection between multiple sub-distribution paths is located, the optimization of the arc path is triggered based on the connection, and closed-loop processing is performed based on the beginning and end of the distribution path of the distributed optical fiber sensor. At this time, the connection, the beginning and end of the distribution path of the distributed optical fiber sensor are focused on to facilitate the optimization of the arc path based on the connection, while ensuring the closure of the beginning and end of the distribution path of the distributed optical fiber sensor. At this time, the distribution path of the distributed optical fiber sensor is continuous and closed-loop.

[0110] refer to Figure 4 , in step S13, parameter characteristics of each geological disaster scenario are defined according to the distribution path and the virtual disaster scenario test;

[0111] In the specific implementation process of the present invention, the specific steps may be:

[0112] S131: freeze the distribution path;

[0113] S132: arranging distributed optical fiber sensors according to the distribution path so that the distributed optical fiber sensors are distributed in the area to be monitored, and performing real-time monitoring on the area to be monitored;

[0114] S133: inputting the area to be monitored, the distribution path, and the model of the distributed optical fiber sensor into the virtual model, and constructing a virtual test scene based on the virtual model;

[0115] S134: Associating the virtual test scenario with the disaster level parameter, and defining a virtual disaster scenario based on the virtual test scenario and the disaster level parameter;

[0116] S135: Conduct geological disaster testing based on virtual disaster scenarios, geological disaster types and distribution paths;

[0117] S136: Matching corresponding geological disaster scenarios based on the geological disaster test, and defining corresponding parameter features in each geological disaster scenario.

[0118] In an embodiment of the present application, the distribution path is frozen, introduced, and controlled so as to arrange distributed optical fiber sensors according to the distribution path, so that the distributed optical fiber sensors are distributed in the area to be monitored, and the area to be monitored is monitored in real time, thereby fully managing and controlling the area to be monitored.

[0119] At this time, the model of the area to be monitored, the distribution path and the distributed optical fiber sensor is input into the virtual model, so as to facilitate the management and control of the area to be monitored, the distribution path and the distributed optical fiber sensor model, thereby virtualizing the virtual model, and building a virtual test scene based on the virtual model, thereby realizing the control of the virtual test scene.

[0120] Therefore, the virtual test scenario is associated with the disaster level parameters, and the virtual disaster scenario is defined based on the virtual test scenario and the disaster level parameters, so as to facilitate multi-dimensional control of the virtual test scenario and the disaster level parameters, thereby introducing the control of the virtual disaster scenario and performing multi-dimensional control of the virtual disaster scenario.

[0121] Furthermore, geological disaster tests are carried out according to virtual disaster scenarios, geological disaster types and distribution paths, so as to facilitate multi-layer geological disaster tests in virtual disaster scenarios, thereby realizing multi-dimensional control of geological disaster tests, thereby matching corresponding geological disaster scenarios based on geological disaster tests, and defining corresponding parameter characteristics in each geological disaster scenario, ensuring the accuracy of parameter characteristics and achieving a high degree of control over parameter characteristics.

[0122] refer to Figure 5 , S14: construct multiple geological disaster monitoring models according to the parameter characteristics of each geological disaster scene, the corresponding light signal change characteristics and the sound wave change characteristics. At this time, multiple geological disaster monitoring models match different geological disaster scenes and are associated with the area to be monitored;

[0123] In the specific implementation process of the present invention, the specific steps may be:

[0124] S141: matching corresponding geological disaster scenarios based on the geological disaster test, and defining corresponding parameter features in each geological disaster scenario;

[0125] S142: Performing an optical signal test based on the geological disaster scenario and the distributed optical fiber sensor, associating the optical signal test with the geological disaster time, and defining optical signal change characteristics according to the optical signal test and the geological disaster time;

[0126] S143: performing an acoustic wave test based on the geological disaster scenario and the distributed optical fiber sensor, associating the acoustic wave test with the geological disaster time, and defining acoustic wave change characteristics according to the acoustic wave test and the geological disaster time;

[0127] S144: Correlating parameter characteristics of each geological disaster scene, corresponding light signal change characteristics, and sound wave change characteristics;

[0128] S145: construct multiple geological disaster monitoring models according to the parameter characteristics of each geological disaster scene, the corresponding light signal change characteristics, and the sound wave change characteristics;

[0129] S146: Multiple geological disaster monitoring models are matched with different geological disaster scenarios and associated with the areas to be monitored.

[0130] In an embodiment of the present application, corresponding geological disaster scenarios are matched based on geological disaster tests, and corresponding parameter features are defined in each geological disaster scenario to facilitate control of each geological disaster scenario. Optionally, the geological disaster scenarios include earthquake disaster scenarios, landslide disaster scenarios, and the like.

[0131] At this time, optical signal testing is performed based on geological disaster scenarios and distributed optical fiber sensors, and the optical signal testing and geological disaster time are correlated. The optical signal change characteristics are defined according to the optical signal testing and geological disaster time, so as to introduce the optical signal change characteristics and conduct in-depth control at the optical signal level.

[0132] Furthermore, acoustic wave tests are carried out based on geological disaster scenarios and distributed optical fiber sensors, and the acoustic wave tests and geological disaster times are correlated. Acoustic wave change characteristics are defined according to the acoustic wave tests and geological disaster times, so that acoustic wave change characteristics are introduced to conduct in-depth control of the acoustic wave level.

[0133] Therefore, the parameter characteristics of each geological disaster scene, the corresponding light signal change characteristics and the sound wave change characteristics are associated, and the parameter characteristics of each geological disaster scene, the corresponding light signal change characteristics and the sound wave change characteristics are controlled, so as to facilitate the overall control of the parameter characteristics of each geological disaster scene, and then construct multiple geological disaster monitoring models according to the parameter characteristics of each geological disaster scene, the corresponding light signal change characteristics and the sound wave change characteristics; multiple geological disaster monitoring models match different geological disaster scenes and are associated with the monitored areas, so as to achieve a high degree of matching between the geological disaster monitoring model and the geological disaster scene, so as to facilitate the use of corresponding geological disaster monitoring models for precise control of geological disaster scenes.

[0134] refer to Figure 6 , S15: collecting multiple real-time parameters in the area to be monitored, constructing a corresponding real-time parameter set according to the multiple real-time parameters, defining a matching coefficient based on the real-time parameter set and multiple geological disaster monitoring models, and using the geological disaster monitoring model with the highest matching coefficient as the current monitoring model of the area to be monitored;

[0135] In the specific implementation process of the present invention, the specific steps may be:

[0136] S151: Real-time monitoring of the area to be monitored;

[0137] S152: Collect multiple real-time parameters in the area to be monitored;

[0138] S153: constructing a corresponding real-time parameter set according to the multiple real-time parameters;

[0139] S154: Associating a real-time parameter set with a plurality of geological disaster monitoring models;

[0140] S155: defining a corresponding matching coefficient based on the real-time parameter set and the matching of multiple geological disaster monitoring models;

[0141] S156: Filter the corresponding geological disaster monitoring model according to the real-time parameter set, and define the highest matching coefficient based on the size comparison of the matching coefficient; use the geological disaster monitoring model with the highest matching coefficient as the current monitoring model of the area to be monitored.

[0142] In an embodiment of the present application, the area to be monitored is monitored in real time, and the area to be monitored is controlled in real time to facilitate the collection of multiple real-time parameters in the area to be monitored, thereby controlling multiple real-time parameters of the area to be monitored within the current time, and defining the state of the area to be monitored based on multiple real-time parameters.

[0143] Therefore, a corresponding real-time parameter set is constructed according to multiple real-time parameters, and the real-time parameter set and multiple geological disaster monitoring models are associated to facilitate comparison between the real-time parameter set and the multiple geological disaster monitoring models, thereby defining a corresponding matching coefficient based on the matching of the real-time parameter set and the multiple geological disaster monitoring models, and performing targeted control on the matching coefficient.

[0144] At the same time, the corresponding geological disaster monitoring model is screened according to the real-time parameter set, and the highest matching coefficient is defined based on the size comparison of the matching coefficient; the geological disaster monitoring model with the highest matching coefficient is used as the current monitoring model of the area to be monitored.

[0145] refer to Figure 7 S16: defining monitoring results according to the geological disaster monitoring model and the real-time parameter set, defining a plurality of abnormal parameters based on the real-time parameter set, defining an abnormal part of the area to be monitored according to the plurality of abnormal parameters, and determining geological disaster information of the area to be monitored based on the abnormal part and the monitoring results, the geological disaster information including the location of the geological disaster, the level of the geological disaster and the theoretical duration;

[0146] In the specific implementation process of the present invention, the specific steps may be:

[0147] S161: freeze the geological disaster monitoring model and the area to be monitored;

[0148] S162: performing calculations based on the geological disaster monitoring model and the real-time parameter set, and defining monitoring results according to the geological disaster monitoring model and the real-time parameter set;

[0149] S163: defining a plurality of abnormal parameters based on the screening of the real-time parameter set;

[0150] S164: defining an abnormal part of the area to be monitored according to a plurality of abnormal parameters;

[0151] S165: Associating the abnormal part with the monitoring result, and performing information matching on the abnormal part and the monitoring result;

[0152] S166: Determine the geological disaster information of the area to be monitored based on the information matching of the abnormal part and the monitoring result, and the geological disaster information includes the location of the geological disaster, the level of the geological disaster and the theoretical duration.

[0153] In the specific implementation process of the present invention, the parameter characteristics of each geological disaster scene are defined according to the distribution path and the virtual disaster scene test; multiple geological disaster monitoring models are constructed according to the parameter characteristics of each geological disaster scene, the corresponding light signal change characteristics and the sound wave change characteristics, and the multiple geological disaster monitoring models match different geological disaster scenes to ensure targeted monitoring in different geological disaster scenes, and define a matching coefficient based on a real-time parameter set and multiple geological disaster monitoring models, and use the geological disaster monitoring model with the highest matching coefficient as the current monitoring model of the monitored area, and define the monitoring results according to the geological disaster monitoring model and the real-time parameter set, and define multiple abnormal parameters based on the screening of the real-time parameter set, define the abnormal part of the monitored area according to the multiple abnormal parameters, associate the abnormal part and the monitoring results, and determine the geological disaster information of the monitored area based on the abnormal part and the monitoring results, which is compatible with the overall consideration of the abnormal part and the monitoring results, and perform multi-dimensional control on the abnormal part and the monitoring results, so as to ensure the accuracy of the geological disaster information of the monitored area, realize the preview of the geological disaster location, geological disaster level and theoretical duration, and ensure the early warning effect of the geological disaster.

[0154] At this point, the geological hazard monitoring model and the monitored area are frozen, calculations are performed based on the geological hazard monitoring model and the real-time parameter set, and the monitoring results are defined according to the geological hazard monitoring model and the real-time parameter set. The monitoring results are introduced, and the geological hazard monitoring model and the real-time parameter set are fully utilized to achieve accurate calculations of the geological hazard monitoring model and the real-time parameter set.

[0155] Therefore, multiple abnormal parameters are defined based on the screening of the real-time parameter set, and abnormality investigation is performed on the real-time parameter set, so that the abnormal part of the area to be monitored can be defined according to the multiple abnormal parameters, thereby achieving further control of the abnormal part.

[0156] Furthermore, the abnormal part and the monitoring results are associated, and information matching is performed on the abnormal part and the monitoring results; the geological disaster information of the area to be monitored is determined based on the information matching of the abnormal part and the monitoring results, which is compatible with the overall consideration of the abnormal part and the monitoring results, and the abnormal part and the monitoring results are controlled in multiple dimensions, ensuring the accuracy of the geological disaster information of the area to be monitored, realizing the preview of the geological disaster location, geological disaster level and theoretical duration, and ensuring the early warning effect of the geological disaster. Optionally, the geological disaster information includes the geological disaster location, geological disaster level and theoretical duration.

[0157] In an embodiment of the present invention, through the method in the embodiment of the present invention, the area to be monitored is located, and the spatial model of the area to be monitored is defined according to the three-dimensional contour of the area to be monitored; multiple spatial modules are divided based on the spatial model of the area to be monitored, and the distribution path of the distributed optical fiber sensor is defined based on the multiple spatial modules. The distribution path of the distributed optical fiber sensor is continuous and closed-loop. The distribution path of the distributed optical fiber sensor is controlled, and the area to be monitored is fully considered to improve the adaptability of the distribution path of the distributed optical fiber sensor.

[0158] Furthermore, parameter characteristics of each geological disaster scene are defined according to the distribution path and the virtual disaster scene test; multiple geological disaster monitoring models are constructed according to the parameter characteristics of each geological disaster scene, the corresponding light signal change characteristics and the sound wave change characteristics, the multiple geological disaster monitoring models match different geological disaster scenes, and the targeted monitoring in different geological disaster scenes is ensured, and the matching coefficient is defined based on the real-time parameter set and the multiple geological disaster monitoring models, the geological disaster monitoring model with the highest matching coefficient is used as the current monitoring model of the monitored area, the monitoring results are defined according to the geological disaster monitoring model and the real-time parameter set, and multiple abnormal parameters are defined based on the screening of the real-time parameter set, the abnormal part of the monitored area is defined according to the multiple abnormal parameters, the abnormal part and the monitoring results are associated, and the geological disaster information of the monitored area is determined based on the abnormal part and the monitoring results, which is compatible with the overall consideration of the abnormal part and the monitoring results, and the abnormal part and the monitoring results are controlled in multiple dimensions, ensuring the accuracy of the geological disaster information of the monitored area, realizing the preview of the geological disaster location, geological disaster level and theoretical duration, and ensuring the early warning effect of the geological disaster.

[0159] See also Figure 8 , Figure 8 It is a schematic diagram of the structural composition of a geological disaster monitoring system based on distributed optical fiber sensors in an embodiment of the present invention.

[0160] like Figure 8 As shown, a geological disaster monitoring system based on distributed optical fiber sensors, the geological disaster monitoring system based on distributed optical fiber sensors includes:

[0161] A positioning module 21 is used to locate the area to be monitored and define a spatial model of the area to be monitored according to the three-dimensional contour of the area to be monitored;

[0162] A distribution path module 22, which is used to divide a plurality of space modules based on a space model of the area to be monitored, and define a distribution path of a distributed optical fiber sensor based on the plurality of space modules, wherein the distribution path of the distributed optical fiber sensor is continuous and closed-loop;

[0163] A parameter feature module 23 is used to define the parameter features of each geological disaster scene according to the distribution path and the virtual disaster scene test;

[0164] The scene module 24 is used to construct multiple geological disaster monitoring models according to the parameter characteristics of each geological disaster scene, the corresponding light signal change characteristics and the sound wave change characteristics. At this time, the multiple geological disaster monitoring models match different geological disaster scenes and are associated with the areas to be monitored;

[0165] A matching module 25 is used to collect multiple real-time parameters in the area to be monitored, construct a corresponding real-time parameter set according to the multiple real-time parameters, define a matching coefficient based on the real-time parameter set and multiple geological disaster monitoring models, and use the geological disaster monitoring model with the highest matching coefficient as the current monitoring model of the area to be monitored;

[0166] The geological disaster module 26 is used to define the monitoring results according to the geological disaster monitoring model and the real-time parameter set, and define multiple abnormal parameters based on the real-time parameter set, define the abnormal part of the area to be monitored according to the multiple abnormal parameters, and determine the geological disaster information of the area to be monitored based on the abnormal part and the monitoring results. The geological disaster information includes the location of the geological disaster, the level of the geological disaster and the theoretical duration.

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

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

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

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

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

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

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

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

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

[0176] In addition, the above is a detailed introduction to the geological disaster monitoring method and system based on distributed optical fiber sensors 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 method for monitoring geological disasters based on distributed optical fiber sensors, characterized in that: Applied to geological disaster monitoring scenarios based on distributed optical fiber sensors; The geological disaster monitoring method based on distributed optical fiber sensors comprises: Locate the area to be monitored, and define a spatial model of the area to be monitored according to the three-dimensional contour of the area to be monitored; Divide a plurality of spatial modules based on a spatial model of the area to be monitored, and define a distribution path of a distributed optical fiber sensor based on the plurality of spatial modules, wherein the distribution path of the distributed optical fiber sensor is continuous and in a closed loop form; Defining parameter characteristics of each geological disaster scenario based on the distribution path and virtual disaster scenario testing; Multiple geological disaster monitoring models are constructed according to the parameter characteristics of each geological disaster scene, the corresponding light signal change characteristics, and the sound wave change characteristics. At this time, multiple geological disaster monitoring models match different geological disaster scenes and are associated with the areas to be monitored; Collect multiple real-time parameters in the area to be monitored, construct a corresponding real-time parameter set according to the multiple real-time parameters, define a matching coefficient based on the real-time parameter set and multiple geological disaster monitoring models, and use the geological disaster monitoring model with the highest matching coefficient as the current monitoring model of the area to be monitored; The monitoring results are defined according to the geological disaster monitoring model and the real-time parameter set, and multiple abnormal parameters are defined based on the real-time parameter set. The abnormal part of the area to be monitored is defined according to the multiple abnormal parameters. The geological disaster information of the area to be monitored is determined based on the abnormal part and the monitoring results. The geological disaster information includes the location of the geological disaster, the level of the geological disaster and the theoretical duration.

2. The method for monitoring geological disasters based on distributed optical fiber sensors according to claim 1, characterized in that: The method of locating the area to be monitored and defining a spatial model of the area to be monitored according to the three-dimensional contour of the area to be monitored includes: Collecting past geological disaster information of multiple mountains, and defining multiple geological disaster areas and past geological disaster levels based on the past geological disaster information of multiple mountains; Defining relative distances according to multiple geological hazard areas, and defining attenuation coefficients based on the relative distances and the amount of change in the previous geological hazard levels; Construct the area to be monitored based on the location, relative distance and attenuation coefficient of multiple geological disaster areas, and locate the area to be monitored; Carry out positioning detection on the area to be monitored and collect the three-dimensional contour of the area to be monitored; A spatial model of the area to be monitored is defined based on the recognition of the three-dimensional contour of the area to be monitored.

3. The method for monitoring geological disasters based on distributed optical fiber sensors according to claim 2, characterized in that: The method divides a plurality of spatial modules based on the spatial model of the area to be monitored, and defines a distribution path of a distributed optical fiber sensor based on the plurality of spatial modules, wherein the distribution path of the distributed optical fiber sensor is continuous and closed-loop, and includes: Freeze the spatial model of the area to be monitored; Traversing the spatial model of the area to be monitored, and dividing the spatial modules according to the spatial model of the area to be monitored, the boundary lines between multiple mountains, and the height boundary lines, so as to output multiple spatial modules; Mark multiple spatial modules and construct conjoined distribution areas based on multiple spatial modules and previous geological disaster occurrence points; The conjoined distribution area is fixed, and multiple monitoring spaces are divided according to the conjoined distribution area, and corresponding sub-distribution paths are defined based on the multiple monitoring spaces and the topography of the mountain; Collecting a plurality of sub-distribution paths, and defining a distribution path of a distributed optical fiber sensor based on connections of the plurality of sub-distribution paths; In the distribution path of the distributed optical fiber sensor, the connection points between multiple sub-distribution paths are located, the optimization of the arc path is triggered based on the connection points, and closed-loop processing is performed based on the beginning and end of the distribution path of the distributed optical fiber sensor. At this time, the distribution path of the distributed optical fiber sensor is continuous and closed-loop.

4. The method for monitoring geological disasters based on distributed optical fiber sensors according to claim 3 is characterized in that: Defining parameter characteristics of each geological disaster scenario according to the distribution path and the virtual disaster scenario test includes: Freeze the distribution path; Distributed optical fiber sensors are arranged according to the distribution path so that the distributed optical fiber sensors are distributed in the area to be monitored, and the area to be monitored is monitored in real time; Input the model of the area to be monitored, the distribution path and the distributed optical fiber sensor into the virtual model, and build a virtual test scene based on the virtual model; Associating the virtual test scenario with the disaster level parameter, and defining the virtual disaster scenario based on the virtual test scenario and the disaster level parameter; Conduct geological disaster tests based on virtual disaster scenarios, geological disaster types and distribution paths; Based on the geological disaster test, the corresponding geological disaster scene is matched, and the corresponding parameter characteristics are defined in each geological disaster scene.

5. The method for monitoring geological disasters based on distributed optical fiber sensors according to claim 4, characterized in that: The multiple geological disaster monitoring models are constructed according to the parameter characteristics of each geological disaster scene, the corresponding light signal change characteristics and the sound wave change characteristics. At this time, the multiple geological disaster monitoring models match different geological disaster scenes and are associated with the areas to be monitored, including: Freeze the parameter characteristics of each geological disaster scene, including the scope of the loss area, the degree of land tilt, the amount of soil erosion, and the vibration amplitude level; Conduct optical signal testing based on geological disaster scenarios and distributed optical fiber sensors, associate optical signal testing with geological disaster time, and define optical signal change characteristics based on optical signal testing and geological disaster time; Perform acoustic wave tests based on geological disaster scenarios and distributed optical fiber sensors, associate acoustic wave tests with geological disaster times, and define acoustic wave change characteristics based on acoustic wave tests and geological disaster times; Correlate the parameter characteristics of each geological disaster scene, the corresponding light signal change characteristics, and the sound wave change characteristics; Construct multiple geological disaster monitoring models based on the parameter characteristics of each geological disaster scene, the corresponding light signal change characteristics, and the sound wave change characteristics; Multiple geological disaster monitoring models match different geological disaster scenarios and are associated with the areas to be monitored.

6. The method for monitoring geological disasters based on distributed optical fiber sensors according to claim 5, characterized in that: The method collects multiple real-time parameters in the area to be monitored, constructs a corresponding real-time parameter set according to the multiple real-time parameters, defines a matching coefficient based on the real-time parameter set and multiple geological disaster monitoring models, and uses the geological disaster monitoring model with the highest matching coefficient as the current monitoring model of the area to be monitored, including: Real-time monitoring of the area to be monitored; Collect multiple real-time parameters in the area to be monitored; A corresponding real-time parameter set is constructed according to multiple real-time parameters.

7. The method for monitoring geological disasters based on distributed optical fiber sensors according to claim 6, characterized in that: The method further comprises: collecting a plurality of real-time parameters in the area to be monitored, constructing a corresponding real-time parameter set according to the plurality of real-time parameters, defining a matching coefficient based on the real-time parameter set and a plurality of geological disaster monitoring models, and taking the geological disaster monitoring model with the highest matching coefficient as the current monitoring model of the area to be monitored; Associating real-time parameter sets and multiple geohazard monitoring models; Defining corresponding matching coefficients based on the real-time parameter set and the matching of multiple geological disaster monitoring models; The corresponding geological disaster monitoring model is screened according to the real-time parameter set, and the highest matching coefficient is defined based on the size comparison of the matching coefficient; the geological disaster monitoring model with the highest matching coefficient is used as the current monitoring model of the area to be monitored.

8. The method for monitoring geological disasters based on distributed optical fiber sensors according to claim 7, characterized in that: The monitoring results are defined according to the geological disaster monitoring model and the real-time parameter set, and a plurality of abnormal parameters are defined based on the real-time parameter set, an abnormal part of the area to be monitored is defined according to the plurality of abnormal parameters, and geological disaster information of the area to be monitored is determined based on the abnormal part and the monitoring results, wherein the geological disaster information includes the location of the geological disaster, the level of the geological disaster and the theoretical duration, including: Freeze the geological disaster monitoring model and the area to be monitored; Calculations are performed based on the geological disaster monitoring model and the real-time parameter set, and monitoring results are defined according to the geological disaster monitoring model and the real-time parameter set.

9. The method for monitoring geological disasters based on distributed optical fiber sensors according to claim 8, characterized in that: The monitoring results are defined according to the geological disaster monitoring model and the real-time parameter set, and a plurality of abnormal parameters are defined based on the real-time parameter set, an abnormal part of the area to be monitored is defined according to the plurality of abnormal parameters, and geological disaster information of the area to be monitored is determined based on the abnormal part and the monitoring results, wherein the geological disaster information includes the location of the geological disaster, the level of the geological disaster and the theoretical duration, and also includes: Defining multiple abnormal parameters based on the screening of real-time parameter sets; Defining an abnormal part of the area to be monitored according to a plurality of abnormal parameters; Associating the abnormal part with the monitoring result, and matching the information between the abnormal part and the monitoring result; The geological disaster information of the area to be monitored is determined based on the information matching of the abnormal part and the monitoring result, and the geological disaster information includes the location of the geological disaster, the level of the geological disaster and the theoretical duration.

10. A geological disaster monitoring system based on distributed optical fiber sensors, characterized in that: The geological disaster monitoring system based on distributed optical fiber sensors is applied to the geological disaster monitoring method based on distributed optical fiber sensors as described in any one of claims 1 to 9, and the geological disaster monitoring system based on distributed optical fiber sensors includes: A positioning module is used to locate the area to be monitored and define a spatial model of the area to be monitored according to the three-dimensional contour of the area to be monitored; A distribution path module, which is used to divide a plurality of space modules based on a space model of the area to be monitored, and define a distribution path of a distributed optical fiber sensor based on the plurality of space modules, wherein the distribution path of the distributed optical fiber sensor is continuous and in a closed loop form; A parameter feature module is used to define the parameter features of each geological disaster scenario according to the distribution path and the virtual disaster scenario test; The scene module is used to construct multiple geological disaster monitoring models according to the parameter characteristics of each geological disaster scene, the corresponding light signal change characteristics and the sound wave change characteristics. At this time, multiple geological disaster monitoring models match different geological disaster scenes and are associated with the area to be monitored; A matching module is used to collect multiple real-time parameters in the area to be monitored, construct a corresponding real-time parameter set according to the multiple real-time parameters, define a matching coefficient based on the real-time parameter set and multiple geological disaster monitoring models, and use the geological disaster monitoring model with the highest matching coefficient as the current monitoring model of the area to be monitored; The geological disaster module is used to define the monitoring results according to the geological disaster monitoring model and the real-time parameter set, and define multiple abnormal parameters based on the real-time parameter set, define the abnormal part of the area to be monitored according to the multiple abnormal parameters, and determine the geological disaster information of the area to be monitored based on the abnormal part and the monitoring results. The geological disaster information includes the location of the geological disaster, the level of the geological disaster and the theoretical duration.

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