A kind of early warning method and system for geological disaster monitoring

Abstract

The present invention discloses an early warning method and system for geological disaster monitoring, and relates to the technical field of geological disaster monitoring. The method includes: constructing a disaster monitoring framework; determining the target disaster category and disaster level; importing the target disaster category and the corresponding disaster level into a risk analysis model to generate first disaster risk prediction information; importing the disaster-prone body distribution data in the basic information into a preset vulnerability assessment model to generate disaster-prone body vulnerability assessment information; obtaining and importing the historical disaster monitoring data of areas with the same geographical characteristics into a preset risk analysis model to generate second disaster risk prediction information; optimizing the preset early warning model to obtain a target early warning model; collecting and importing the geological actual data of the target area into the target early warning model to generate monitoring early warning information. The present invention combines data from multiple levels related to geological disasters to conduct accurate and comprehensive analysis, and then conducts efficient geological disaster early warning.

Description

Technical Field

[0001] The present invention relates to the technical field of geological disaster monitoring, and in particular to an early warning method and system for geological disaster monitoring. Background Art

[0002] Geological disasters refer to geological actions or phenomena that are caused by natural or human factors and cause losses to human life and property and damage to the environment. The distribution and change patterns of geological disasters in time and space are not only subject to the natural environment, but also related to human activities. They are often the result of the interaction between humans and nature. With the development of modern civilization, people are more dependent on nature, and their demands for natural resources are gradually increasing. The geological disasters brought about by them are becoming more frequent and serious, which seriously threatens the safety of people's lives and property. Therefore, it is necessary to effectively monitor geological disasters and issue early warnings in a timely manner.

[0003] Traditional geological disaster monitoring and early warning methods generally use manual detection. Detectors carry detection instruments to disaster-prone areas for inspections regularly or irregularly, and combine detection data and professional experience to determine whether a geological disaster has occurred in the area or there may be a risk of geological disasters, and then issue early warnings. However, the traditional method has great shortcomings, low accuracy, and cannot accurately and efficiently collect and analyze geological data, and thus cannot issue early warnings and effective disaster prevention and control. In addition, due to the diversity and complexity of geological disaster situations, it is necessary to fully consider information on personnel characteristics, geographical characteristics, disaster-bearing bodies, etc. The traditional geological disaster monitoring and early warning method cannot conduct comprehensive and accurate analysis, cannot meet the warning needs, and the warning effect and accuracy are not high. Summary of the invention

[0004] In order to overcome the above problems or at least partially solve the above problems, an embodiment of the present invention provides an early warning method and system for geological disaster monitoring, which combines data from multiple levels related to geological disasters to perform accurate and comprehensive analysis, and then conduct efficient geological disaster early warning.

[0005] The embodiment of the present invention is achieved as follows:

[0006] In a first aspect, an embodiment of the present invention provides an early warning method for geological disaster monitoring, comprising the following steps:

[0007] Obtain and build a disaster monitoring framework based on the basic information and monitoring layout information of the target area;

[0008] Obtain and determine the target disaster category and corresponding disaster level based on historical disaster data of the target area;

[0009] Importing the target disaster category and the corresponding disaster level into a preset risk analysis model to generate first disaster risk prediction information;

[0010] Import the hazard-prone body distribution data in the basic information into the preset vulnerability assessment model to generate hazard-prone body vulnerability assessment information;

[0011] Extract and obtain historical disaster monitoring data of areas with the same geographical features according to the geographical feature data in the basic information and import them into a preset risk analysis model to generate second disaster risk prediction information;

[0012] Optimize the preset early warning model according to the first disaster risk prediction information, the vulnerability assessment information of the disaster-bearing body and the second disaster risk prediction information to obtain the target early warning model;

[0013] Based on the disaster monitoring framework, the actual geological data of the target area is collected and imported into the target early warning model to generate monitoring and early warning information.

[0014] In order to solve the technical problems that the prior art cannot conduct comprehensive and accurate geological disaster analysis, cannot meet the early warning needs, and the effect and accuracy of early warning are not high, the present invention constructs a targeted monitoring framework for the basic information of the target area, so as to carry out rapid data collection and data classification in the future; at the same time, the disaster category and disaster level of the target area are determined in combination with the historical disaster situation of the target area, and the possible disaster risk in the target area is evaluated in combination with the risk analysis model, so as to provide data reference for the subsequent establishment of a targeted early warning model; in order to further improve the rationality and comprehensiveness of disaster monitoring and early warning, a comprehensive analysis is carried out in combination with the vulnerability of the disaster-bearing body and the historical disaster monitoring data with the same geographical characteristics as the target area, the relevant early warning indicators of the target area are determined, and the model is optimized to construct a targeted early warning model; after the target early warning model is constructed, the relevant geological actual data is collected in a targeted manner based on the hierarchical classification of the disaster monitoring framework, and then the target early warning model is used for analysis, so as to obtain an accurate and comprehensive monitoring and early warning information for the target area, which greatly improves the effect of monitoring and early warning. The present invention combines the data of multiple levels related to geological disasters for accurate and comprehensive analysis, and then carries out efficient geological disaster early warning.

[0015] Based on the first aspect, in some embodiments of the present invention, the method for constructing a disaster monitoring framework according to the basic information and monitoring layout information of the target area includes the following steps:

[0016] Determine and construct an initial monitoring framework according to the geographical features and personnel distribution features in the basic information of the target area and the monitoring categories, wherein the initial monitoring framework includes multiple nodes;

[0017] The monitoring layout information is imported into the nodes corresponding to the initial monitoring framework according to the monitoring point information in the monitoring layout information of the target area to obtain the disaster monitoring framework.

[0018] Based on the first aspect, in some embodiments of the present invention, the method for determining and constructing an initial monitoring framework according to the geographical features and personnel distribution features in the basic information of the target area and the monitoring categories comprises the following steps:

[0019] Determine the geographical features in the basic information of the target area and construct the monitoring level and corresponding level nodes according to the monitoring category;

[0020] Optimize the hierarchical nodes according to the personnel distribution characteristics in the basic information of the target area and construct hierarchical sub-nodes;

[0021] An initial monitoring framework is constructed based on monitoring levels, level nodes, and level sub-nodes.

[0022] Based on the first aspect, in some embodiments of the present invention, the method for collecting and importing the geological real-time data of the target area into the target early warning model based on the disaster monitoring framework comprises the following steps:

[0023] Collect the corresponding geological data of the target area based on the disaster monitoring framework, and store the corresponding geological data in the corresponding node according to the data category in the geological data;

[0024] Based on each node in the disaster monitoring architecture, the actual geological data stored under the corresponding node is imported into the target early warning model according to different node categories.

[0025] Based on the first aspect, in some embodiments of the present invention, the method for determining the target disaster category and the corresponding disaster level according to the historical disaster situation data of the target area includes the following steps:

[0026] The key frame extraction method is used to extract key frames from the videos in the historical disaster situation data to obtain disaster key frame images;

[0027] The target disaster category and the corresponding disaster level are calculated and determined based on the similarity between the disaster key frame image and each disaster image in the preset sample disaster image set.

[0028] Based on the first aspect, in some embodiments of the present invention, the early warning method for geological disaster monitoring further includes the following steps:

[0029] According to the personnel distribution information and personnel activity information in the basic information of the target area, the warning level area is divided according to the preset warning level division rules to obtain the warning level division information;

[0030] Import the warning level classification information into the target warning model and optimize the target warning model.

[0031] In a second aspect, an embodiment of the present invention provides an early warning system for geological disaster monitoring, including an architecture construction module, a historical disaster determination module, a first risk analysis module, a vulnerability assessment module, a second risk analysis module, an early warning model optimization module, and a monitoring and early warning module, wherein:

[0032] An architecture building module is used to obtain and build a disaster monitoring architecture based on the basic information and monitoring layout information of the target area;

[0033] A historical disaster determination module is used to obtain and determine the target disaster category and the corresponding disaster level based on the historical disaster situation data of the target area;

[0034] A first risk analysis module, used to import the target disaster category and the corresponding disaster level into a preset risk analysis model to generate first disaster risk prediction information;

[0035] A vulnerability assessment module is used to import the hazard-prone body distribution data in the basic information into a preset vulnerability assessment model to generate hazard-prone body vulnerability assessment information;

[0036] The second risk analysis module is used to extract and obtain historical disaster monitoring data of areas with the same geographical features according to the geographical feature data in the basic information and import them into a preset risk analysis model to generate second disaster risk prediction information;

[0037] An early warning model optimization module is used to optimize the preset early warning model according to the first disaster risk prediction information, the vulnerability assessment information of the disaster-bearing body and the second disaster risk prediction information to obtain a target early warning model;

[0038] The monitoring and early warning module is used to collect and import the actual geological data of the target area into the target early warning model based on the disaster monitoring framework to generate monitoring and early warning information.

[0039] In order to solve the technical problems that the existing technology cannot conduct comprehensive and accurate geological disaster analysis, cannot meet the warning needs, and the warning effect and accuracy are not high, this system builds a targeted monitoring architecture for the basic information of the target area through the cooperation of multiple modules such as the architecture construction module, the historical disaster determination module, the first risk analysis module, the vulnerability assessment module, the second risk analysis module, the warning model optimization module and the monitoring and warning module, so as to facilitate the subsequent rapid data collection and data classification; at the same time, the disaster category and disaster level in the target area are determined in combination with the historical disaster situation in the target area, and the possible disaster risks in the target area are evaluated in combination with the risk analysis model, so as to provide data reference for the subsequent establishment of a targeted warning model; in order to further improve the rationality and comprehensiveness of disaster monitoring and early warning, a comprehensive analysis is conducted in combination with the vulnerability of the disaster-bearing body and the historical disaster monitoring data with the same geographical characteristics as the target area, the relevant warning indicators of the target area are determined, and the model is optimized to construct a targeted target early warning model; after the target early warning model is constructed, the relevant geological actual data is collected in a targeted manner based on the hierarchical classification of the disaster monitoring architecture, and then the target early warning model is used for analysis, so as to obtain an accurate and comprehensive monitoring and early warning information for the target area, which greatly improves the effect of monitoring and early warning. The present invention combines data from multiple levels related to geological disasters to conduct accurate and comprehensive analysis, thereby providing efficient geological disaster early warning.

[0040] Based on the second aspect, in some embodiments of the present invention, the above-mentioned architecture construction module includes an initial framework construction unit and an information import unit, wherein:

[0041] An initial framework construction unit, used to determine and construct an initial monitoring framework according to the geographical features and personnel distribution features in the basic information of the target area and the monitoring category, wherein the initial monitoring framework includes a plurality of nodes;

[0042] The information importing unit is used to import the monitoring layout information into the nodes corresponding to the initial monitoring framework according to the monitoring point information in the monitoring layout information of the target area, so as to obtain the disaster monitoring framework.

[0043] In a third aspect, an embodiment of the present application provides an electronic device, comprising a memory for storing one or more programs and a processor. When the one or more programs are executed by the processor, any method in the first aspect is implemented.

[0044] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements a method as described in any one of the first aspects above.

[0045] The embodiments of the present invention have at least the following advantages or beneficial effects:

[0046] The embodiment of the present invention provides an early warning method and system for geological disaster monitoring, which solves the technical problems that the prior art cannot conduct comprehensive and accurate geological disaster analysis, cannot meet early warning requirements, and has low early warning effect and accuracy. The present invention constructs a targeted monitoring framework for the basic information of the target area, so as to carry out rapid data collection and data classification in the future; at the same time, the disaster category and disaster level occurring in the target area are determined in combination with the historical disaster situation of the target area, and the disaster risk that may exist in the target area is evaluated in combination with the risk analysis model, so as to provide data reference for the subsequent establishment of a targeted early warning model; in order to further improve the rationality and comprehensiveness of disaster monitoring and early warning, a comprehensive analysis is carried out in combination with the vulnerability of the disaster-bearing body and the historical disaster monitoring data with the same geographical characteristics as the target area, the relevant early warning indicators of the target area are determined, and the model is optimized to construct a targeted early warning model; after the target early warning model is constructed, the relevant geological actual data is collected in a targeted manner based on the hierarchical classification of the disaster monitoring framework, and then the target early warning model is used for analysis, so as to obtain an accurate and comprehensive monitoring and early warning information for the target area, which greatly improves the effect of monitoring and early warning. The present invention combines data from multiple levels related to geological disasters for accurate and comprehensive analysis, and then performs efficient geological disaster early warning. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.

[0048] Figure 1 This is a flow chart of an early warning method for geological disaster monitoring according to an embodiment of the present invention;

[0049] Figure 2 A flowchart of constructing a disaster monitoring framework in an early warning method for geological disaster monitoring according to an embodiment of the present invention;

[0050] Figure 3 A flowchart of constructing an initial monitoring framework in an early warning method for geological disaster monitoring according to an embodiment of the present invention;

[0051] Figure 4 This is a principle block diagram of an early warning system for geological disaster monitoring according to an embodiment of the present invention;

[0052] Figure 5 A structural block diagram of an electronic device provided by an embodiment of the present invention.

[0053] Explanation of the accompanying drawings: 100, architecture building module; 200, historical disaster determination module; 300, first risk analysis module; 400, vulnerability assessment module; 500, second risk analysis module; 600, early warning model optimization module; 700, monitoring and early warning module; 101, memory; 102, processor; 103, communication interface. DETAILED DESCRIPTION

[0054] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations.

[0055] Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the invention claimed for protection, but merely represents selected embodiments of the present invention. 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.

[0056] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, further definition and explanation thereof is not required in subsequent drawings.

[0057] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the term "comprise" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0058] Example:

[0059] like Figure 1-Figure 3 As shown, in the first aspect, an embodiment of the present invention provides an early warning method for geological disaster monitoring, comprising the following steps:

[0060] S1. Obtain and build a disaster monitoring framework based on the basic information and monitoring layout information of the target area; the above basic information includes geographical characteristics, personnel distribution characteristics, personnel activity characteristics and other information; the above monitoring layout information includes monitoring points, monitoring equipment, monitoring cycle, etc.

[0061] Furthermore, if Figure 2 As shown, including:

[0062] S11, determining and constructing an initial monitoring framework according to the geographical features and personnel distribution features in the basic information of the target area and the monitoring categories, wherein the initial monitoring framework includes a plurality of nodes;

[0063] Furthermore, if Figure 3 As shown, including:

[0064] S111, determining according to the geographical features in the basic information of the target area and constructing the monitoring level and the corresponding level nodes according to the monitoring category;

[0065] S112, optimizing the hierarchical nodes according to the personnel distribution characteristics in the basic information of the target area, and constructing hierarchical sub-nodes;

[0066] S113. Construct an initial monitoring framework based on monitoring levels, level nodes and level sub-nodes.

[0067] S12. Importing the monitoring layout information into the nodes corresponding to the initial monitoring framework according to the monitoring point information in the monitoring layout information of the target area to obtain a disaster monitoring framework.

[0068] In some embodiments of the present invention, in order to ensure more accurate monitoring of the target area in the future, a targeted initial monitoring framework is constructed in combination with the geographical characteristics and personnel distribution characteristics of the target area. The initial monitoring framework includes different category levels, multiple level nodes corresponding to each level, and multiple sub-nodes under each level node, so as to better classify and manage the data and provide effective support for the follow-up; then, the corresponding information is written into the corresponding node in combination with the monitoring layout information to improve the framework and obtain a more accurate disaster monitoring architecture.

[0069] S2. Obtain and determine the target disaster category and corresponding disaster level based on the historical disaster situation data of the target area;

[0070] Furthermore, a key frame extraction method is used to extract key frames from videos in historical disaster situation data to obtain disaster key frame images; the target disaster category and the corresponding disaster level are determined based on the similarity between the disaster key frame images and each disaster image in a preset sample disaster image set.

[0071] In some embodiments of the present invention, in order to ensure the accuracy of disaster determination in the target area, the disaster category is determined in combination with historical disaster situation data to provide more comprehensive reference data for the follow-up; historical disaster situation data generally includes videos or images to accurately record the disaster situation, and a key frame extraction method is used to extract key frames from the videos in the historical disaster situation data to obtain a clearer and more accurate disaster key frame image, and then a disaster image matching analysis is performed in combination with a sample disaster image set to obtain the target disaster category and the corresponding disaster level. The above-mentioned sample disaster image set includes multiple disaster images of different categories and corresponding disaster images of different levels.

[0072] S3. Import the target disaster category and the corresponding disaster level into a preset risk analysis model to generate first disaster risk prediction information; the first disaster risk prediction information includes data such as disaster category, frequency of possible disaster occurrence, and risk level.

[0073] S4. Import the hazard-prone body distribution data in the basic information into a preset vulnerability assessment model to generate hazard-prone body vulnerability assessment information; the hazard-prone body vulnerability assessment information includes hazard-prone body categories, hazard-prone body distribution, and corresponding hazard-prone body vulnerability levels.

[0074] S5. Extract and obtain historical disaster monitoring data of areas with the same geographical features based on the geographical feature data in the basic information and import them into a preset risk analysis model to generate second disaster risk prediction information; the second disaster risk prediction information includes disaster category, disaster frequency, disaster level, disaster area, etc.

[0075] S6. Optimizing the preset early warning model according to the first disaster risk prediction information, the vulnerability assessment information of the disaster-bearing body and the second disaster risk prediction information to obtain a target early warning model;

[0076] S7. Based on the disaster monitoring framework, the geological data of the target area is collected and imported into the target early warning model to generate monitoring and early warning information, which includes the warning disaster category, warning time, warning area, etc.

[0077] Furthermore, based on the disaster monitoring framework, the corresponding geological actual data of the target area are collected, and the corresponding geological actual data are stored in the corresponding nodes according to the data category in the geological actual data; based on each node in the disaster monitoring framework, the geological actual data stored under the corresponding node are imported into the target early warning model according to different node categories.

[0078] In some embodiments of the present invention, in order to further improve the efficiency of data analysis, rapid data analysis is performed according to different categories, and then timely and effective early warnings are carried out. Data is collected and stored based on each node in the disaster monitoring architecture, and then classified and imported into the early warning model for analysis.

[0079] In order to solve the technical problems that the prior art cannot conduct comprehensive and accurate geological disaster analysis, cannot meet the early warning needs, and the effect and accuracy of early warning are not high, the present invention constructs a targeted monitoring framework for the basic information of the target area, so as to carry out rapid data collection and data classification in the future; at the same time, the disaster category and disaster level of the target area are determined in combination with the historical disaster situation of the target area, and the possible disaster risk in the target area is evaluated in combination with the risk analysis model, so as to provide data reference for the subsequent establishment of a targeted early warning model; in order to further improve the rationality and comprehensiveness of disaster monitoring and early warning, a comprehensive analysis is carried out in combination with the vulnerability of the disaster-bearing body and the historical disaster monitoring data with the same geographical characteristics as the target area, the relevant early warning indicators of the target area are determined, and the model is optimized to construct a targeted early warning model; after the target early warning model is constructed, the relevant geological actual data is collected in a targeted manner based on the hierarchical classification of the disaster monitoring framework, and then the target early warning model is used for analysis, so as to obtain an accurate and comprehensive monitoring and early warning information for the target area, which greatly improves the effect of monitoring and early warning. The present invention combines the data of multiple levels related to geological disasters for accurate and comprehensive analysis, and then carries out efficient geological disaster early warning.

[0080] Based on the first aspect, in some embodiments of the present invention, the early warning method for geological disaster monitoring further includes the following steps:

[0081] According to the personnel distribution information and personnel activity information in the basic information of the target area, the warning level area is divided according to the preset warning level division rules to obtain the warning level division information;

[0082] Import the warning level classification information into the target warning model and optimize the target warning model.

[0083] In order to further improve the effect of geological disaster monitoring and early warning in the target area, the warning level of different areas is determined in combination with the population distribution and personnel activities in the target area, and the regional warning level is divided from high to low according to the number of personnel distribution and activity frequency. The more people there are, the higher the warning level; based on the divided warning level information, the target warning model is optimized to obtain a more reasonable warning model.

[0084] like Figure 4As shown, in the second aspect, an embodiment of the present invention provides an early warning system for geological disaster monitoring, including an architecture building module 100, a historical disaster determination module 200, a first risk analysis module 300, a vulnerability assessment module 400, a second risk analysis module 500, an early warning model optimization module 600 and a monitoring and early warning module 700, wherein:

[0085] The architecture building module 100 is used to obtain and build a disaster monitoring architecture based on the basic information and monitoring layout information of the target area;

[0086] A historical disaster determination module 200 is used to obtain and determine the target disaster category and the corresponding disaster level according to the historical disaster situation data of the target area;

[0087] The first risk analysis module 300 is used to import the target disaster category and the corresponding disaster level into a preset risk analysis model to generate first disaster risk prediction information;

[0088] The vulnerability assessment module 400 is used to import the hazard-prone body distribution data in the basic information into a preset vulnerability assessment model to generate hazard-prone body vulnerability assessment information;

[0089] The second risk analysis module 500 is used to extract and obtain historical disaster monitoring data of areas with the same geographical features according to the geographical feature data in the basic information and import them into a preset risk analysis model to generate second disaster risk prediction information;

[0090] The early warning model optimization module 600 is used to optimize the preset early warning model according to the first disaster risk prediction information, the vulnerability assessment information of the disaster-bearing body and the second disaster risk prediction information to obtain a target early warning model;

[0091] The monitoring and early warning module 700 is used to collect and import the actual geological data of the target area into the target early warning model based on the disaster monitoring framework to generate monitoring and early warning information.

[0092] In order to solve the technical problems that the existing technology cannot conduct comprehensive and accurate geological disaster analysis, cannot meet the early warning needs, and the early warning effect and accuracy are not high, this system builds a targeted monitoring architecture for the basic information of the target area through the cooperation of multiple modules such as the architecture construction module 100, the historical disaster determination module 200, the first risk analysis module 300, the vulnerability assessment module 400, the second risk analysis module 500, the early warning model optimization module 600 and the monitoring and early warning module 700, so as to facilitate the subsequent rapid data collection and data classification; at the same time, the disaster category and disaster level in the target area are determined in combination with the historical disaster situation in the target area, and the target area can be classified according to the risk analysis model. The existing disaster risk can be evaluated to provide data reference for the subsequent establishment of a targeted early warning model; in order to further improve the rationality and comprehensiveness of disaster monitoring and early warning, the vulnerability of the disaster-bearing body and the historical disaster monitoring data with the same geographical characteristics as the target area are comprehensively analyzed, the relevant early warning indicators of the target area are determined, and the model is optimized to construct a targeted early warning model; after the target early warning model is built, the relevant geological actual data is collected in a targeted manner based on the hierarchical classification of the disaster monitoring architecture, and then analyzed using the target early warning model, thereby obtaining an accurate and comprehensive monitoring and early warning information for the target area, which greatly improves the effect of monitoring and early warning. The present invention combines data from multiple levels related to geological disasters for accurate and comprehensive analysis, and then performs efficient geological disaster early warning.

[0093] Based on the second aspect, in some embodiments of the present invention, the above-mentioned architecture construction module 100 includes an initial framework construction unit and an information import unit, wherein:

[0094] An initial framework construction unit, used to determine and construct an initial monitoring framework according to the geographical features and personnel distribution features in the basic information of the target area and the monitoring category, wherein the initial monitoring framework includes a plurality of nodes;

[0095] The information importing unit is used to import the monitoring layout information into the nodes corresponding to the initial monitoring framework according to the monitoring point information in the monitoring layout information of the target area, so as to obtain the disaster monitoring framework.

[0096] In order to ensure more accurate monitoring of the target area in the future, a targeted initial monitoring framework is constructed through the cooperation of the initial framework construction unit and the information import unit, combined with the geographical characteristics and personnel distribution characteristics of the target area. The initial monitoring framework includes different category levels, multiple level nodes corresponding to each level, and multiple sub-nodes under each level node, so as to better classify and manage the data and provide effective support for the follow-up; then, the corresponding information is written into the corresponding node in combination with the monitoring layout information to improve the framework and obtain a more accurate disaster monitoring architecture.

[0097] like Figure 5 As shown, in a third aspect, an embodiment of the present application provides an electronic device, which includes a memory 101 for storing one or more programs and a processor 102. When the one or more programs are executed by the processor 102, any method in the first aspect described above is implemented.

[0098] The memory 101, the processor 102 and the communication interface 103 are directly or indirectly electrically connected to each other to achieve data transmission or interaction. For example, these elements can be electrically connected to each other through one or more communication buses or signal lines. The memory 101 can be used to store software programs and modules, and the processor 102 executes various functional applications and data processing by executing the software programs and modules stored in the memory 101. The communication interface 103 can be used to communicate signaling or data with other node devices.

[0099] Among them, the memory 101 can be, but is not limited to, a random access memory (RAM), a read only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable read-only memory (EEPROM), etc.

[0100] The processor 102 may be an integrated circuit chip with signal processing capability. The processor 102 may be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it may also be a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0101] In the embodiments provided in the present application, it should be understood that the disclosed methods, systems and methods can also be implemented in other ways. The method and system embodiments described above are merely schematic. For example, the flowcharts and block diagrams in the accompanying drawings show the possible architecture, functions and operations of the methods, systems, methods and computer program products according to the multiple embodiments of the present application. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of a code, and the module, program segment or a part of the code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flowchart, and the combination of boxes in the block diagram and / or flowchart can be implemented with a dedicated hardware-based system that performs a specified function or action, or can be implemented with a combination of dedicated hardware and computer instructions.

[0102] In addition, the functional modules in the various embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.

[0103] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium on which a computer program is stored, and when the computer program is executed by the processor 102, a method as in any one of the first aspects described above is implemented. If the function is implemented in the form of a software function module and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or part of the contribution to the prior art or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a disk or an optical disk.

[0104] The above are only preferred embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

[0105] It will be apparent to those skilled in the art that the present application is not limited to the details of the exemplary embodiments described above, and that the present application can be implemented in other specific forms without departing from the spirit or essential features of the present application. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the present application is defined by the appended claims rather than the above description, and it is intended that all changes falling within the meaning and scope of the equivalent elements of the claims be included in the present application. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. An early warning method for geological disaster monitoring, characterized in that: The following steps are involved: Obtaining and constructing a disaster monitoring framework based on basic information and monitoring layout information of the target area, including: determining and constructing an initial monitoring framework based on the geographical features and personnel distribution features in the basic information of the target area and based on the monitoring categories, wherein the initial monitoring framework includes a plurality of nodes; importing the monitoring layout information into the nodes corresponding to the initial monitoring framework based on the monitoring point information in the monitoring layout information of the target area, so as to obtain the disaster monitoring framework; Obtaining and determining the target disaster category and the corresponding disaster level based on the historical disaster situation data of the target area, including extracting key frames from the video in the historical disaster situation data using a key frame extraction method to obtain a disaster key frame image; calculating and determining the target disaster category and the corresponding disaster level based on the similarity between the disaster key frame image and each disaster image in a preset sample disaster image set; Importing the target disaster category and the corresponding disaster level into a preset risk analysis model to generate first disaster risk prediction information; Import the hazard-prone body distribution data in the basic information into the preset vulnerability assessment model to generate hazard-prone body vulnerability assessment information; Extract and obtain historical disaster monitoring data of areas with the same geographical features according to the geographical feature data in the basic information and import them into a preset risk analysis model to generate second disaster risk prediction information; Optimize the preset early warning model according to the first disaster risk prediction information, the vulnerability assessment information of the disaster-bearing body and the second disaster risk prediction information to obtain the target early warning model; Based on the disaster monitoring framework, the actual geological data of the target area is collected and imported into the target early warning model to generate monitoring and early warning information.

2. The early warning method for geological disaster monitoring according to claim 1, characterized in that: The method for determining and constructing an initial monitoring framework according to the geographical features and personnel distribution features in the basic information of the target area and the monitoring categories comprises the following steps: Determine the geographical features in the basic information of the target area and construct the monitoring level and corresponding level nodes according to the monitoring category; Optimize the hierarchical nodes according to the personnel distribution characteristics in the basic information of the target area and construct hierarchical sub-nodes; An initial monitoring framework is constructed based on monitoring levels, level nodes, and level sub-nodes.

3. The early warning method for geological disaster monitoring according to claim 2, characterized in that: The method for collecting and importing the actual geological data of the target area into the target early warning model based on the disaster monitoring framework comprises the following steps: Collect the corresponding geological data of the target area based on the disaster monitoring framework, and store the corresponding geological data in the corresponding node according to the data category in the geological data; Based on each node in the disaster monitoring architecture, the actual geological data stored under the corresponding node is imported into the target early warning model according to different node categories.

4. The early warning method for geological disaster monitoring according to claim 1, characterized in that: The following steps are also included: According to the personnel distribution information and personnel activity information in the basic information of the target area, the warning level area is divided according to the preset warning level division rules to obtain the warning level division information; Import the warning level classification information into the target warning model and optimize the target warning model.

5. An early warning system for geological disaster monitoring, characterized in that: It includes an architecture building module, a historical disaster determination module, a first risk analysis module, a vulnerability assessment module, a second risk analysis module, an early warning model optimization module, and a monitoring and early warning module, among which: An architecture building module is used to obtain and build a disaster monitoring architecture based on the basic information and monitoring layout information of the target area; The historical disaster determination module is used to obtain and determine the target disaster category and the corresponding disaster level based on the historical disaster situation data of the target area, including using a key frame extraction method to extract key frames from the video in the historical disaster situation data to obtain disaster key frame images; calculate and determine the target disaster category and the corresponding disaster level based on the similarity between the disaster key frame image and each disaster image in the preset sample disaster image set; A first risk analysis module, used to import the target disaster category and the corresponding disaster level into a preset risk analysis model to generate first disaster risk prediction information; A vulnerability assessment module is used to import the hazard-prone body distribution data in the basic information into a preset vulnerability assessment model to generate hazard-prone body vulnerability assessment information; The second risk analysis module is used to extract and obtain historical disaster monitoring data of areas with the same geographical features according to the geographical feature data in the basic information and import them into a preset risk analysis model to generate second disaster risk prediction information; An early warning model optimization module is used to optimize the preset early warning model according to the first disaster risk prediction information, the vulnerability assessment information of the disaster-bearing body and the second disaster risk prediction information to obtain a target early warning model; The monitoring and early warning module is used to collect and import the actual geological data of the target area into the target early warning model based on the disaster monitoring framework to generate monitoring and early warning information; The architecture building module includes an initial framework building unit and an information importing unit, wherein: An initial framework construction unit, used to determine and construct an initial monitoring framework according to the geographical features and personnel distribution features in the basic information of the target area and according to the monitoring category, wherein the initial monitoring framework includes a plurality of nodes; The information importing unit is used to import the monitoring layout information into the nodes corresponding to the initial monitoring framework according to the monitoring point information in the monitoring layout information of the target area, so as to obtain the disaster monitoring framework.

6. An electronic device, characterized in that: include: A memory for storing one or more programs; processor; When the one or more programs are executed by the processor, the method according to any one of claims 1 to 4 is implemented.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 4 is implemented.

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