CN108961688A - A kind of big data support under Geological Hazards Monitoring and method for early warning - Google Patents

A kind of big data support under Geological Hazards Monitoring and method for early warning Download PDF

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Publication number
CN108961688A
CN108961688A CN201810771432.0A CN201810771432A CN108961688A CN 108961688 A CN108961688 A CN 108961688A CN 201810771432 A CN201810771432 A CN 201810771432A CN 108961688 A CN108961688 A CN 108961688A
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geological
monitoring
data
disaster
geological disaster
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CN108961688B (en
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石松
罗钰涵
张江辉
张建铿
许金坤
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Fujian Teleware Information Technology Co Ltd
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    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal operating condition and not elsewhere provided for
    • G08B21/02Alarms for ensuring the safety of persons
    • G08B21/10Alarms for ensuring the safety of persons responsive to calamitous events, e.g. tornados or earthquakes
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation, e.g. linear programming, "travelling salesman problem" or "cutting stock problem"
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/26Government or public services
    • G06Q50/265Personal security, identity or safety

Abstract

The Geological Hazards Monitoring and method for early warning that the present invention is provided under a kind of big data is supported generate corresponding Geological Hazards Monitoring model according to the historical data of geological disaster point;Monitoring region is subjected to similarity analysis with geological disaster detection model and sets geological disaster hidden danger area for the monitoring region if similitude reaches limit value;The monitoring data in the geological disaster hidden danger area are obtained by real-time device;Each factor data corresponding with the highest Geological Hazards Monitoring model of the similitude in monitoring data are done into similarity analysis, obtain the probability value of geological disaster generation;Geological disaster real-time early warning is carried out if probability value is greater than limit value, improves monitoring disaster accuracy.

Description

A kind of big data support under Geological Hazards Monitoring and method for early warning
Technical field
Geological Hazards Monitoring and method for early warning under being supported the present invention relates to a kind of big data.
Background technique
Influencing the movable factor of geological disaster includes meteorology, geography, geology etc., is interweaved, and Nature and Man is factor phase Mutually superposition.Existing Early-warning Model is that expert's determination by way of first assuming to verify again obtains, is based on statistical method, coupling Geo-environmental change and rainfall parameter etc. be multifactor to establish early warning criterion, but this method does not give full play to big data Effect, to a certain extent by the selection of statistical sample, the fine degree of geological conditions, live rainfall data it is accurate Factor controllings and the influences such as matching, it is difficult to carry out that real-time update is perfect, moreover, unified empirical model is unable to satisfy different items Geological Hazards Monitoring applicability and accuracy requirement under part.
Summary of the invention
The technical problem to be solved in the present invention is to provide a kind of big data and supports lower Geological Hazards Monitoring and the pre- police Method improves monitoring disaster accuracy.
The present invention is implemented as follows: Geological Hazards Monitoring and method for early warning under a kind of big data support, comprising:
Step 1, according to the historical data of geological disaster point, generate corresponding Geological Hazards Monitoring model;
Step 2 will monitor region and geological disaster detection model progress similarity analysis, if similitude reaches limit value, Then geological disaster hidden danger area is set by the monitoring region;
Step 3, the monitoring data that the geological disaster hidden danger area is obtained by real-time device;
Step 4, by monitoring data each data and the highest Geological Hazards Monitoring model of the similitude corresponding to Data do similarity analysis, obtain geological disaster generation probability value;
Step 5 carries out geological disaster real-time early warning if probability value is greater than limit value.
Further, the step 1 is further specifically: history geological disaster point data (Disasters Type, disaster rank, disaster Coverage), history remote sensing image data, topography and geomorphology, stratigraphic structure, vegetation coverage, weather, precipitation, water system sediments, Dam is built and road construction.
Further, the step 4 is further specifically: by each data and the similitude highest in monitoring data The corresponding data of Geological Hazards Monitoring model do similarity analysis, and be each data setting probability right, by similitude Obtained value is analyzed multiplied by corresponding probability right, the value obtained later is added as the probability value of geological disaster generation;It is described Monitoring data include: topography and geomorphology, stratigraphic structure, vegetation coverage, water system sediments, remote sensing image data, landform deformation data, Meteorological data, dam are built and road construction.
The present invention has the advantage that
1) emphasis is by historical data, carries out in all directions to geological disaster inducement of causing disaster from factors such as natural, artificial, remote sensing Analysis, has given full play to the value of multi-source history big data.
2) it is constantly accumulated experience by the way of successive learning by artificial intelligence technology, excavates multi-source data value, Make model self-optimization, breach empirical model can not self-perfection barrier.
3) grid personalization Geological Hazards Monitoring model is established, having broken conventional model cannot achieve versatility to disaster prison It is influenced brought by surveying, can effectively improve the accuracy of regional area Geological Hazards Monitoring early warning.
Detailed description of the invention
The present invention is further illustrated in conjunction with the embodiments with reference to the accompanying drawings.
Fig. 1 is the method for the present invention execution flow chart.
Fig. 2 is the flow chart of the specific embodiment of the invention.
Specific embodiment
As shown in Figure 1, Geological Hazards Monitoring and method for early warning under a kind of big data support of the present invention, comprising:
Step 1, the historical data according to geological disaster generate corresponding geological disaster by Learning Algorithm and supervise Survey model;The historical data and relative influence factor data of the geological disaster include: history geological disaster point data (Disasters Type, Disaster rank, disaster coverage), history remote sensing image data, topography and geomorphology, stratigraphic structure, vegetation coverage, weather, drop Water, water system sediments, dam are built and road construction;
Step 2 will monitor region and geological disaster detection model progress similarity analysis, if similitude reaches limit value, Then geological disaster hidden danger area is set by the monitoring region;
Step 3, the monitoring data that the geological disaster hidden danger area is obtained by real-time device;
Step 4, by monitoring data each factor and the highest Geological Hazards Monitoring model of the similitude corresponding to The factor do similarity analysis, and set probability right for each factor, the value that similarity analysis is obtained is multiplied by corresponding general Rate weight, the value obtained later are added as the probability value of geological disaster generation;The monitoring data include: topography and geomorphology, Layer construction, vegetation coverage, water system sediments, remote sensing image data, landform deformation data, meteorological data, dam is built and road Road construction;
Step 5 carries out geological disaster real-time early warning if probability value is greater than limit value.
A kind of specific embodiment of the present invention:
In order to solve the confinement problems of empirical Geological Hazards Monitoring model, invention introduces grid personalized models Thinking historic geology disaster point data is based on, in conjunction with multi-source polymorphic type big data, from nature, people using artificial intelligence technology Geological disaster inducement is dissected for factor.Further, the Geological Hazards Monitoring that grid is personalized, has self-perfection ability is established Model, the final fining monitoring and early warning for realizing geological disaster, predicts position, type and the generation of geological disaster generation Probability.Big data advantage can be given full play to using the present invention, and depth profiling is hidden in data my plague law behind, avoids Data are analyzed incomprehensive;The dynamic self-perfection and optimization of model may be implemented simultaneously, it is perfect right not in time to reduce model Disaster monitoring bring influences;Furthermore the model of grid personalization, can be improved the accuracy of local geology disaster monitoring.
As shown in Fig. 2, the present invention includes:
1) China being chosen as service area, service area is divided into according to service area topography variation feature by several lattice Net, using grid as the basic unit of Geological Hazards Monitoring model foundation.
2) in step (1) on the basis of grid, firstly, based on different types of geological disasters such as landslide, mud-rock flows, with Historic geology disaster point data is sample, place, time and the frequency and disaster loss grade that position history geological disaster occurs; Then every factor before the geological disaster of different stage, different frequency occurring respectively, when occurring, after generation is analyzed, Including natural causes such as topography and geomorphology, stratigraphic structure, vegetation coverage, weather, precipitation, the meeting such as dam builds, road construction The human factor of geological disaster hidden danger is caused, and combines the history remote sensing image in history geological disaster generation area and its coverage Data, analyze the situation of change of the factors such as spectrum, the texture in geological disaster generating process, dissect formation comprehensively and occur entire All data situation of change in the process excavates geological disaster inducement, assesses the influence degree that different factor pair disasters occur;Most Afterwards, the impact factor and its respective weights, foundation occurred according to different type, different stage, different frequency geological disaster corresponds to Geological Hazards Monitoring model, ultimately form the grid personalization Geological Hazards Monitoring model library for covering all geological disaster types.
3) based on the every correlative factor and geological disaster model mentioned in step (2), by full-service area and historic geology Disaster generation area carries out similarity analysis, and similitude is higher, is judged as geological disaster hidden danger area.
4) it is based on unmanned plane, is slightly variable the real-time watch devices such as radar, the geological disaster positioned in emphasis monitoring step (3) is hidden Suffer from region Displacement-deformation data, meteorological data real-time change situation, and handles in time and analyze Real-time Remote Sensing data.
5) Real-time Monitoring Data is accessed in Geological Hazards Monitoring model obtained in step (2) in real time, items is influenced The factor is compared, and carries out Similarity measures, obtains the probability that geological disaster occurs, and realizes geological disaster real-time early warning.
6) Real-time Monitoring Data and geo-hazard early-warning data step (2) is transferred to as sample data to continue to learn It practises and analysis, further analysis prediction may occur that geological disaster is practical will not to occur the feelings that geological disaster actually occurs there is no, prediction Condition further adjusts Geological Hazards Monitoring model, the self-perfection function of implementation model.
Although specific embodiments of the present invention have been described above, those familiar with the art should be managed Solution, we are merely exemplary described specific embodiment, rather than for the restriction to the scope of the present invention, it is familiar with this The technical staff in field should be covered of the invention according to modification and variation equivalent made by spirit of the invention In scope of the claimed protection.

Claims (3)

1. Geological Hazards Monitoring and method for early warning under a kind of big data support, it is characterised in that: include:
Step 1, according to the historical data of geological disaster point, generate corresponding Geological Hazards Monitoring model;
Step 2 will monitor region and geological disaster detection model progress similarity analysis, if similitude reaches limit value, by The monitoring region is set as geological disaster hidden danger area;
Step 3, the monitoring data that the geological disaster hidden danger area is obtained by real-time device;
Step 4, by each data number corresponding with the highest Geological Hazards Monitoring model of the similitude in monitoring data According to similarity analysis is done, the probability value of geological disaster generation is obtained;
Step 5 carries out geological disaster real-time early warning if probability value is greater than limit value.
2. Geological Hazards Monitoring and method for early warning under a kind of big data support according to claim 1, it is characterised in that: The step 1 is further specifically: history geological disaster point data, history remote sensing image data, topography and geomorphology, stratigraphic structure, vegetation Coverage, weather, precipitation, water system sediments, dam are built and road construction.
3. Geological Hazards Monitoring and method for early warning under a kind of big data support according to claim 2, it is characterised in that: The step 4 is further specifically: by each factor and the highest Geological Hazards Monitoring mould of the similitude in monitoring data The factor corresponding to type does similarity analysis, and sets probability right for each factor, the value that similarity analysis is obtained multiplied by Corresponding probability right, the value obtained later are added as the probability value of geological disaster generation;The monitoring data include: disaster Type, disaster rank, topography and geomorphology, stratigraphic structure, vegetation coverage, weather, precipitation, dam is built and road construction.
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CN109584515A (en) * 2018-12-21 2019-04-05 武汉万集信息技术有限公司 Method for early warning, device and the readable storage medium storing program for executing of massif disaster
CN110264058A (en) * 2019-06-11 2019-09-20 深圳市燃气集团股份有限公司 A kind of method for early warning and system of the geological disaster based on gas ductwork
CN111340012A (en) * 2020-05-19 2020-06-26 北京数字绿土科技有限公司 Geological disaster interpretation method and device and terminal equipment
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CN111950993A (en) * 2020-09-03 2020-11-17 深圳市不动产评估中心(深圳市地质环境监测中心) Geological disaster prevention and control full-flow management system, method and storage medium
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CN109584515A (en) * 2018-12-21 2019-04-05 武汉万集信息技术有限公司 Method for early warning, device and the readable storage medium storing program for executing of massif disaster
CN110264058A (en) * 2019-06-11 2019-09-20 深圳市燃气集团股份有限公司 A kind of method for early warning and system of the geological disaster based on gas ductwork
CN111340012A (en) * 2020-05-19 2020-06-26 北京数字绿土科技有限公司 Geological disaster interpretation method and device and terminal equipment
CN111932832A (en) * 2020-08-07 2020-11-13 西南交通大学 Construction engineering environment disaster accident monitoring and early warning method
CN111950993A (en) * 2020-09-03 2020-11-17 深圳市不动产评估中心(深圳市地质环境监测中心) Geological disaster prevention and control full-flow management system, method and storage medium
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