CN106529817A - Disaster information service platform and information service system - Google Patents
Disaster information service platform and information service system Download PDFInfo
- Publication number
- CN106529817A CN106529817A CN201611027651.5A CN201611027651A CN106529817A CN 106529817 A CN106529817 A CN 106529817A CN 201611027651 A CN201611027651 A CN 201611027651A CN 106529817 A CN106529817 A CN 106529817A
- Authority
- CN
- China
- Prior art keywords
- data
- disaster
- condition
- information service
- risk
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 claims abstract description 30
- 230000008569 process Effects 0.000 claims abstract description 24
- 238000007405 data analysis Methods 0.000 claims abstract description 16
- 238000013500 data storage Methods 0.000 claims abstract description 11
- 238000013523 data management Methods 0.000 claims abstract description 9
- 238000010586 diagram Methods 0.000 claims description 18
- 238000012800 visualization Methods 0.000 claims description 17
- 230000005540 biological transmission Effects 0.000 claims description 15
- 238000007726 management method Methods 0.000 claims description 12
- 230000000007 visual effect Effects 0.000 claims description 12
- 238000012544 monitoring process Methods 0.000 claims description 11
- 238000011156 evaluation Methods 0.000 claims description 10
- 238000013439 planning Methods 0.000 claims description 10
- 238000002360 preparation method Methods 0.000 claims description 7
- 230000004044 response Effects 0.000 claims description 7
- 238000004458 analytical method Methods 0.000 claims description 6
- 238000012502 risk assessment Methods 0.000 claims description 6
- 238000012423 maintenance Methods 0.000 claims description 5
- 238000006243 chemical reaction Methods 0.000 claims description 4
- 238000012384 transportation and delivery Methods 0.000 claims description 4
- 238000004364 calculation method Methods 0.000 claims description 3
- 238000013144 data compression Methods 0.000 claims description 3
- 230000004927 fusion Effects 0.000 claims description 3
- 230000001939 inductive effect Effects 0.000 claims description 3
- 238000007781 pre-processing Methods 0.000 claims description 3
- 230000011218 segmentation Effects 0.000 claims description 3
- 238000012856 packing Methods 0.000 claims description 2
- 238000000547 structure data Methods 0.000 claims 1
- 238000013480 data collection Methods 0.000 abstract 3
- 238000010219 correlation analysis Methods 0.000 abstract 1
- 238000005516 engineering process Methods 0.000 description 5
- 238000012098 association analyses Methods 0.000 description 4
- 230000008859 change Effects 0.000 description 4
- 230000008901 benefit Effects 0.000 description 3
- 238000007418 data mining Methods 0.000 description 3
- 239000011435 rock Substances 0.000 description 3
- 238000001514 detection method Methods 0.000 description 2
- 230000007613 environmental effect Effects 0.000 description 2
- 230000015654 memory Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 238000010009 beating Methods 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 239000000470 constituent Substances 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000000586 desensitisation Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 239000006185 dispersion Substances 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 238000009472 formulation Methods 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 230000008520 organization Effects 0.000 description 1
- 238000012797 qualification Methods 0.000 description 1
- 238000011084 recovery Methods 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 239000002689 soil Substances 0.000 description 1
- 238000005728 strengthening Methods 0.000 description 1
- 238000011144 upstream manufacturing Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0635—Risk analysis of enterprise or organisation activities
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/14—Travel agencies
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Tourism & Hospitality (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- General Business, Economics & Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Marketing (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Development Economics (AREA)
- Educational Administration (AREA)
- Primary Health Care (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Alarm Systems (AREA)
Abstract
The invention discloses a disaster information service platform and an information service system. The disaster information service platform comprises a data collection system, a data storage and management system, a data open interface system and a data analysis system, wherein the data collection system is used for collecting related data of a disaster area from multiple independent data sources; the data storage and management system is used for storing and managing the related data of the disaster area; the data open interface system is used for providing an open data interface to the outside; and the data analysis system is used for providing multiple universal and/or specific data analysis modules and/or data analysis processes. According to the disaster information service platform and the information service system disclosed by the invention, and services of multi-source data collection, real-time computing and processing and data output from the information system can be achieved through correlation analysis of a lot of data.
Description
Technical field
The present invention relates to data message application process field, in particular to a kind of the condition of a disaster information service platform with
And information service system.
Background technology
Geological disaster derives from the catastrophic failure of nature and artificial geological process to geological environment, for example, may include to collapse
Collapse, come down, mud-rock flow, surface collapse and ground fissure etc..China is one of area that geological disaster in the world takes place frequently, in recent years,
Research with regard to landslide, mud-rock flow class disaster is the emphasis of industry research.The preventing and treating of geological disaster dispersion usually because of work,
Cause standardization level poor, the more difficult problem of resource-sharing.After the nineties in 20th century, computer technology, digital communication technology
Reach its maturity, by the Geologic such as the landslide in certain limit (region), mud-rock flow and avalanche body be monitoring object, to its when
The deformation failure information in spatial domain and catastrophe risk factor information are implemented dynamic monitoring and become possibility.
The present invention proposes a kind of the condition of a disaster information service platform and information service system.
Disclosed in the background section, above- mentioned information is only used for the understanding for strengthening the background to the present invention, therefore it
Can include not constituting the information to prior art known to persons of ordinary skill in the art.
The content of the invention
In view of this, the present invention provides a kind of the condition of a disaster information service platform and information service system, by a large amount of numbers
According to association analysis, can realize that multi-source data collects, carries out calculating in real time and process and output information system service.
Other characteristics and advantage of the present invention will be apparent from by detailed description below, or partially by the present invention
Practice and acquistion.
According to an aspect of the present invention, there is provided a kind of the condition of a disaster information service platform, including:Data gathering system, for from
Multiple separate data sources collect the condition of a disaster related data;Data storage and management system, for storing to disaster area related data
And management;Data open interface system, for providing opening interface to outside;Data analysis system, it is various for providing
General and/or particular data analysis module and/or data analysis flow process.
In a kind of exemplary embodiment of the disclosure, disaster area related data includes real-time the condition of a disaster information, history the condition of a disaster letter
In breath, satellite remote-sensing image data, physical geography Back ground Information, navigation positioning data at least two.
In a kind of exemplary embodiment of the disclosure, data gathering system includes:Data access subsystem, for accessing
Multiple separate data sources;Preprocessing subsystem, carries out data cleansing, data preparation, and/or data compression to disaster area related data
Process, and generate corresponding metadata.
In a kind of exemplary embodiment of the disclosure, data storage and management system are additionally operable to melt isomeric data
Close and process and/or elements recognition process.
In a kind of exemplary embodiment of the disclosure, during data preparation includes that data segmentation, data aggregate, form are changed
At least one.
In a kind of exemplary embodiment of the disclosure, also include:Service management system, for the note of various information services
Volume, issue and/or state-maintenance.
In a kind of exemplary embodiment of the disclosure, disaster area related data includes structural data, space structure number
According to, and/or file type data.
In a kind of exemplary embodiment of the disclosure, data gathering system includes being arranged at each separate data source
Data front-end system, data front-end system include:Data pick-up subsystem, for obtaining data, packing data from data source, and
Packet is put into into data packet buffer;Data transmit subsystem, for packet is sent to the condition of a disaster information service platform.
In a kind of exemplary embodiment of the disclosure, data transmission subsystem includes:Configuration module, for configuring and number
According to the related information of bag transmission;Multiple data transmitting modules, for being respectively transmitted the packet of respective type;Transmission daily record mould
Block, for producing and managing packet transmission daily record;Task management module, for packet transmission is scheduled and is managed.
According to an aspect of the present invention, there is provided a kind of information service system, including:Natural environment risk visualization system,
Based on the condition of a disaster information service platform of such as any one of claim 1-9, for being analyzed to the risk of natural environment and can
Show depending on changing;The system of scenic spot disaster dynamic early-warning, based on the condition of a disaster information service platform of such as any one of claim 1-9, uses
Dynamic evaluation and early warning are carried out in there is certain types of natural calamity to scenic spot;And scenic spot calamity source assessment be
System, based on the condition of a disaster information service platform of such as any one of claim 1-9, for there is certain types of natural calamity to scenic spot
Carry out risk assessment.
In a kind of exemplary embodiment of the disclosure, natural environment risk visualization system, including:Exponential model system
System, is modeled to the condition of a disaster related data based on entropy weight analysis method, from time dimension, region dimension, and/or industry dimension to going through
Four aspects of history the condition of a disaster data set up the condition of a disaster appraisement system, and determine that evaluation index forms natural environment risk index model;Exhibition
Show system, for visual presentation being carried out to natural environment risk index.Risk evaluating system, for related according to the condition of a disaster
Data are estimated to following calamity source, and the condition of a disaster related data includes that historical data and meteorology, earth's surface and the hydrology are dynamic
State data, wherein, the natural environment risk index includes comprehensive disaster target, and the condition of a disaster related data includes that expert anticipates
See.
In a kind of exemplary embodiment of the disclosure:Display systems support that SVG is rendered;And/or display systems are configured to
Visual presentation is carried out by least one in Voronoi diagram, arborescence, circular cluster and word cloud.
In a kind of exemplary embodiment of the disclosure, also include:Risk network chart system, for finding by nature ring
The affiliated enterprise that border disaster affects.
In a kind of exemplary embodiment of the disclosure, for scenic spot disaster dynamic early-warning system, including:Disaster Assessment system
System, for carrying out dynamic evaluation to the probability that certain scenic occurs particular type natural calamity according to the condition of a disaster related data;Early warning
System, for when probability exceedes critical value, sending early warning information to user.
In a kind of exemplary embodiment of the disclosure, for scenic spot disaster dynamic early-warning system, also include:Focus mould
Block, for determining scenic spot hot spot region to provide fast reaction as the condition of a disaster process according to visitor location data.
In a kind of exemplary embodiment of the disclosure, for scenic spot disaster dynamic early-warning system, also include:Risk Monitoring
System, for obtaining scenic spot Monitoring Data in real time, wherein the condition of a disaster related data includes scenic spot Monitoring Data;Ecology of scenic area environment is commented
Estimate system, for being quantified to scenic environment according to the condition of a disaster related data and being visualized assessment.
In a kind of exemplary embodiment of the disclosure, for scenic spot disaster dynamic early-warning system, also include:Route planning
System, for, after disaster occurs, generating real-time road condition information, evacuation route suggestion according to the condition of a disaster related data, and/or rescuing
Route;Route delivery system, for issuing real-time road condition information, evacuation route suggestion, and/or rescuing route;And/or rescue rule
The system of drawing, for after disaster occurs, according to the condition of a disaster related data generate evacuation route planning, rescue strength configuring and/
Or relief goods configuring.
In a kind of exemplary embodiment of the disclosure, for scenic spot calamity source assessment system, it is characterised in that bag
Include:Risk index module, for the risk index according to the condition of a disaster correlation data calculation certain scenic;Inquiry response module, is used for
Inquiry of the response to risk index.
In a kind of exemplary embodiment of the disclosure, for scenic spot calamity source assessment system, it is characterised in that also wrap
Include:Historical disaster enquiry module, on a time period and/or Disasters Type query history disaster incidence and/or disaster it is tight
Weight degree.
In a kind of exemplary embodiment of the disclosure:Risk index module carries out risk assessment according to following formula:
Wherein Flood inducing factors are the various factors for describing Disaster Event feature, and hazard-affected body exposed property is referred to may be by danger
All people and properties that factor is threatened, what hazard-affected body fragility referred to hazard-affected body combat a natural disaster performance.
According to some embodiments, the condition of a disaster information service platform of the present invention, can by the association analysis to mass data,
Can realize that multi-source data collects, carries out calculating process and output information system service in real time.
According to other embodiments, the natural environment risk visualization system of the present invention can be from time, region, industry
Visual presentation is carried out to history the condition of a disaster data etc. dimension.
According to other embodiments, the present invention for scenic spot disaster dynamic early-warning system, by historical data and gas
As, the dynamic data such as earth's surface, the hydrology, can be in following one month, the major casualty risk that each department face be entered Mobile state and is commented
Estimate.
According to other embodiments, the present invention for scenic spot calamity source assessment system, can be to for tourist attraction
Disaster occurrence risk is estimated and dynamic early-warning.
It should be appreciated that the general description of the above and detailed description hereinafter are only exemplary, this can not be limited
Invention.
Description of the drawings
Its example embodiment is described in detail by referring to accompanying drawing, above and other target of the present invention, feature and advantage will
Become more fully apparent.Drawings discussed below is only some embodiments of the present invention, for the ordinary skill of this area
For personnel, do not pay it is creative come on the premise of move, can be with according to these accompanying drawings acquisition others accompanying drawings.
Fig. 1 is a kind of the condition of a disaster information service platform block diagram according to an exemplary embodiment.
Fig. 2 is natural environment risk visualization system according to an exemplary embodiment, scenic spot disaster dynamic early-warning
The block diagram of system and scenic spot calamity source assessment system
Fig. 3 is a kind of natural environment risk visualization system block diagram exemplified according to another exemplary enforcement.
Fig. 4 A are the regional complex risk index schematic diagrames according to an exemplary embodiment.
Fig. 4 B are the regional complex risk index schematic diagrames exemplified according to another exemplary enforcement.
Fig. 5 is the business risk network collection of illustrative plates schematic diagram according to an exemplary embodiment.
Fig. 6 is a kind of scenic spot disaster dynamic early-warning system block diagram exemplified according to another exemplary enforcement.
Fig. 7 is a kind of information service system block diagram exemplified according to another exemplary enforcement.
Fig. 8 is tourist attractions calamity source assessment and the dynamic early-warning schematic diagram according to an exemplary embodiment.
Specific embodiment
Example embodiment is described more fully with referring now to accompanying drawing.However, example embodiment can be real in a variety of forms
Apply, and be not understood as limited to embodiment set forth herein;Conversely, thesing embodiments are provided so that the present invention will be comprehensively and complete
It is whole, and the design of example embodiment is comprehensively conveyed to into those skilled in the art.In figure, identical reference is represented
Same or similar part, thus repetition thereof will be omitted.
Additionally, described feature, structure or characteristic can in any suitable manner with reference in one or more enforcements
In example.In the following description, there is provided many details are fully understood to embodiments of the invention so as to be given.However,
It will be appreciated by persons skilled in the art that it is one or more during technical scheme can be put into practice without specific detail,
Or can be using other methods, constituent element, device, step etc..In other cases, it is not shown in detail or describes known side
Method, device, realization operate to avoid fuzzy each aspect of the present invention.
Block diagram shown in accompanying drawing is only functional entity, not necessarily must be corresponding with physically separate entity.
I.e., it is possible to these functional entitys are realized using software form, or realize in one or more hardware modules or integrated circuit
These functional entitys, or these functional entitys are realized in heterogeneous networks and/or processor device and/or microcontroller device.
Flow chart shown in accompanying drawing is merely illustrative, it is not necessary to including all of content and operation/step,
It is not required to perform by described order.For example, some operation/steps can also be decomposed, and some operation/steps can be closed
And or part merge, therefore the actual order for performing is possible to be changed according to actual conditions.
It will be understood by those skilled in the art that accompanying drawing is the schematic diagram of example embodiment, the module or flow process in accompanying drawing
Not necessarily implement the present invention necessary, therefore cannot be used for limiting the scope of the invention.
Fig. 1 is a kind of the condition of a disaster information service platform block diagram according to an exemplary embodiment.
As shown in figure 1, the condition of a disaster information service platform 10 includes:Data gathering system 102, data storage and management system
104, data open interface system 106 and data analysis system 108.
Data gathering system 102 is for collecting the condition of a disaster related data from multiple separate data sources.Can for example, by all kinds of isomeries
Data are uniformly accessed in the condition of a disaster detection early warning information service platform, carry out follow-up process storage.Also can for example, to all kinds of accesses
Isomeric data carry out data cleansing and data desensitization process according to predefined process rule, while generating corresponding data.
For example by pretreated data, homogeneous classification can be carried out according to the business classification and storage organization feature of data, so as to follow-up
The automation for carrying out data enters library storage process.
Data storage and management system 104 are for being stored and managed to the disaster area related data.For example can support
Efficient distributed storage, index and backup to magnanimity isomery big data, wherein, the data form of big data may include:Relation
Type data, text data, document and image data, geographical image and vector data etc., the invention is not restricted to this.Can also for example,
Visualized management and maintenance to data store organisation and data content;User's access to data storage carries out rights management;
The ruuning situation of data storage is carried out by visual control and safeguarded;Management is extended to data memory node;Support logarithm
Backup is carried out according to storage to manage with data recovery.
Data open interface system 106 is for outside offer opening interface.The condition of a disaster detection early warning can be carried out for example
Registration, issue and the running status maintenance management of information service.Also the service of the condition of a disaster early warning information can be provided to the public for example
Opening interface.
Data analysis system 108 is used to provide many general and/or particular data analysis module and/or data analysis stream
Journey.Can for example, isomeric data carries out Data Fusion;Support the extraction process to particular data key element in isomeric data.Also
Can be such as, there is provided the realization of all kinds of frequently-used data parsers;There is provided visualization and can towed data and Treatment Analysis stream
Thread management, realizes the particular data analysis method and analysis process of early warning business demand are detected based on the condition of a disaster.
By taking the condition of a disaster information as an example, the condition of a disaster information service platform obtains a large amount of geography Information Numbers from each data source unit
According to, meteorological data, remotely-sensed data, socioeconomic data and other data resources.Can for example, by Ministry of Civil Affairs National Disaster Reduction Center
Natural Disaster data are obtained from the civil affairs departments at different levels, these original the condition of a disaster data is carried out in the condition of a disaster information service platform whole
Close.Other are applicable to by a series of actions formation such as data cleansing, data mining, data preparation, data product making is
The data of system analysis.And substantial amounts of data mining algorithm is provided, opening interface to public etc., the present invention not as
Limit.
According to some embodiments, the condition of a disaster information service platform of the present invention, can by the association analysis to mass data,
Can realize that multi-source data collects, carries out calculating process and output information system service in real time.
It will be clearly understood that the present disclosure describe how being formed and using particular example, but the principle of the present invention to be not limited to
Any details of these examples.Conversely, the teaching based on present disclosure, these principles can be applied to many other
Embodiment.
In a kind of exemplary embodiment of the disclosure, the disaster area related data includes real-time the condition of a disaster information, history calamity
In feelings information, satellite remote-sensing image data, physical geography Back ground Information, navigation positioning data at least two.
In a kind of exemplary embodiment of the disclosure, the data gathering system includes:Data access subsystem, is used for
Access the plurality of separate data source;Preprocessing subsystem, the disaster area related data is carried out data cleansing, data preparation,
And/or data compression process, and generate corresponding metadata.
In a kind of exemplary embodiment of the disclosure, the data storage and management system are additionally operable to enter isomeric data
Row fusion treatment and/or elements recognition are processed.
In a kind of exemplary embodiment of the disclosure, the data preparation includes that data segmentation, data aggregate, form turn
At least one in changing.
In a kind of exemplary embodiment of the disclosure, also include:Service management system, for the note of various information services
Volume, issue and/or state-maintenance.
In a kind of exemplary embodiment of the disclosure, the disaster area related data includes structural data, space structure
Change data, and/or file type data.
In a kind of exemplary embodiment of the disclosure, the data gathering system includes being arranged on each separate data source
The data front-end system at place, the data front-end system include:Data pick-up subsystem, for obtaining data, beating from data source
Bag data, and packet is put into into data packet buffer;Data transmit subsystem, for the packet is sent to the calamity
Feelings information service platform.
In a kind of exemplary embodiment of the disclosure, the data transmission subsystem includes:Configuration module, for configuring
The information related to packet transmission;Multiple data transmitting modules, for being respectively transmitted the packet of respective type;Transmission daily record
Module, for producing and managing packet transmission daily record;Task management module, for packet transmission is scheduled and is managed
Reason.
Fig. 2 is natural environment risk visualization system according to an exemplary embodiment, scenic spot disaster dynamic early-warning
The block diagram of system and scenic spot calamity source assessment system.
As shown in Fig. 2 natural environment risk visualization system 202 is based on the condition of a disaster information service platform mentioned above, it is used for
The risk of natural environment is analyzed and visual presentation.Scenic spot disaster dynamic early-warning system 204 is based on calamity mentioned above
Feelings information service platform, carries out dynamic evaluation and early warning for there is certain types of natural calamity to scenic spot.Scenic spot disaster
Risk evaluating system 206 is based on the condition of a disaster information service platform mentioned above, for there is certain types of natural calamity to scenic spot
Carry out risk assessment.
By taking tourism industry as an example, natural environment risk visualization system 202 is got by the condition of a disaster information service platform 10
Substantial amounts of related data, integration tourist attraction (point) historical disaster generation data, damage situations data, and scenic spot are on-site
Weather, soil and earth's surface real time data.The every data mining service provided by the condition of a disaster information service platform 10, to natural ring
The risk in border is analyzed and visual presentation.Scenic spot disaster dynamic early-warning system 204 and scenic spot calamity source assessment system
206, the related data got by the condition of a disaster information service platform 10 is modeled to history the condition of a disaster data, forms nature calamity
Further, scenic spot occurs certain types of natural calamity carries out dynamic evaluation to evil risk index model, a certain in tourist attraction (point)
When type natural calamity probability of happening exceedes critical value, system will push Risk-warning information to customized user.For example can include:
Scenic spot risk index real-time query, generates corresponding image information and index list.Scenic spot historical disaster is inquired about by Disasters Type
Incidence, the inquiry of the disaster order of severity.Monthly, scenic spot historical disaster incidence, the disaster order of severity are inquired about per year.And early warning
Etc..
Fig. 3 is further describing to the natural environment risk visualization system 202 shown in Fig. 2.Nature as shown in Figure 3
Environmental risk visualization system, including:Exponential model system 2022, display systems 2024, risk evaluating system 2026, risk net
Network chart system 2028.
Exponential model system 2022 is used to be modeled the condition of a disaster related data based on big data analysis, forms natural environment
Risk index model.Natural environment risk index includes comprehensive disaster target, and the condition of a disaster related data includes expert opinion;Institute
State display systems to be configured to carry out visualization exhibition to history the condition of a disaster data from time dimension, region dimension, and/or industry dimension
Show.For example Fig. 4 A can be shown with the regional complex risk index schematic diagram shown in Fig. 4 B.
Display systems 2024 are for carrying out visual presentation to natural environment risk index.Display systems support that SVG is rendered;
And/or at least one that the display systems are configured to pass in Voronoi diagram, arborescence, circular cluster and word cloud is carried out
Visual presentation.
Risk evaluating system 2026 is for being estimated to following calamity source according to the condition of a disaster related data, described
The condition of a disaster related data includes historical data and meteorology, earth's surface and hydrology dynamic data.
Risk network chart system 2028 is used for the affiliated enterprise for finding to be affected by natural disaster.For example can generate
Business risk network collection of illustrative plates as shown in Figure 5, company manager excavate industrial chain upstream and downstream by business risk network collection of illustrative plates
Potential risk factor, is easy to the formulation of strategic decision.For example the industrial chain the condition of a disaster risk collection of illustrative plates of each industry and the condition of a disaster can be affected
Grading (AAA, AA, A, BBB, BB, B, CCC, CC, C), so as to carry out grading analysis to the condition of a disaster, the present invention is not limited thereto.
Fig. 6 is further describing to the scenic spot disaster dynamic early-warning system 204 shown in Fig. 2.Scenic spot calamity as shown in Figure 6
Evil dynamic early-warning system, including:Disaster Assessment system 2041, early warning system 2042, hot spot module 2043, risk monitoring system
2044, route planning system 2045, route delivery system 2046 rescue planning system 2047, ecology of scenic area environment assessment system
2048。
For there is particular type natural calamity to certain scenic according to the condition of a disaster related data in Disaster Assessment system 2041
Probability carries out dynamic evaluation;The condition of a disaster data also include:In remotely-sensed data, navigation data, position data, pregnant calamity environmental information
At least one.
Early warning system 2042 for when the probability exceed critical value when, to user send early warning information.
Hot spot module 2043 is for determining scenic spot hot spot region to provide quickly as the condition of a disaster process according to visitor location data
Reaction.
Risk monitoring system 2044 is used to obtain in real time scenic spot Monitoring Data, wherein the condition of a disaster related data include it is described
Scenic spot Monitoring Data.
Route planning system 2045 carries out route planning using dijkstra's algorithm, for after disaster occurs, according to institute
State the condition of a disaster related data to generate real-time road condition information, evacuation route suggestion, and/or rescue route;
Route delivery system 2046 is used to issue the real-time road condition information, evacuation route suggestion, and/or rescues route.
Planning system 2047 is rescued for, after disaster occurs, evacuation route rule being generated according to the condition of a disaster related data
Draw, rescue strength configuring, and/or relief goods configuring.
Ecology of scenic area environment assessment system 2048 is for carrying out quantifying and visual to scenic environment according to the condition of a disaster related data
Change assessment.
Fig. 7 is further describing to the scenic spot calamity source assessment system 206 shown in Fig. 2.Scenic spot calamity as shown in Figure 7
Evil risk evaluating system, including:Risk index module 2061, inquiry response module 2062, image information module 2063, index row
Table module 2064, historical disaster enquiry module 2065.
Risk index module 2061 is for the risk index according to the condition of a disaster correlation data calculation certain scenic.Risk index mould
Root tuber carries out risk assessment according to following formula:
Wherein Flood inducing factors are the various factors for describing Disaster Event feature, and hazard-affected body exposed property is referred to may be by danger
All people and properties that factor is threatened, what hazard-affected body fragility referred to hazard-affected body combat a natural disaster performance.
Inquiry response module 2062 is used for inquiry of the response to risk index.
Image information module 2063 is used to generate scenic spot corresponding with risk index image.
Index list block 2064 is used to generate risk index list, and the risk index list includes multiple scenic spots and phase
The risk index answered.Disaster normally comprises 13 kinds:Strong wind, heavy rain, severe snow, cold wave, sandstorm, high temperature, thunder and lightning, dense fog, road
Road icing, frost, arid, hail, haze.Can for example, using tourist attractions calamity source assessment as shown in Figure 8 and dynamic early-warning
Scenic environment is carried out visualization assessment by system diagram.
Historical disaster enquiry module 2065 be used on a time period and/or Disasters Type query history disaster incidence and/
Or the disaster order of severity.
The description of the embodiment by more than, those skilled in the art is it can be readily appreciated that example embodiment described herein
Can be realized by software, it is also possible to realize by way of software is with reference to necessary hardware.Therefore, according to present invention enforcement
The technical scheme of example can be embodied in the form of software product, and the software product can be stored in non-volatile memories
In medium (can be CD-ROM, USB flash disk, portable hard drive etc.) or on network, including some instructions so that a computing device (can
Being personal computer, server, mobile terminal or network equipment etc.) perform method according to embodiments of the present invention.
Detailed description by more than, those skilled in the art is it can be readily appreciated that a kind of calamity according to embodiments of the present invention
Feelings information service platform and information service system, one or more in having the advantage that.
According to some embodiments, the condition of a disaster information service platform of the present invention, can by the association analysis to mass data,
Can realize that multi-source data collects, carries out calculating process and output information system service in real time.
According to other embodiments, the information service system of the present invention can be from dimensions such as time, region, industries to going through
History the condition of a disaster data carry out visual presentation.
According to other embodiments, the information service system of the present invention, by historical data and meteorology, earth's surface, the hydrology
Deng dynamic data, can be to, in one month future, the major casualty risk that each department face carries out dynamic evaluation.
According to other embodiments, the information service system of the present invention can be to the disaster occurrence risk for tourist attraction
It is estimated and dynamic early-warning.
The exemplary embodiment of the present invention is particularly shown and described more than.It should be appreciated that the invention is not restricted to
Detailed construction described herein, set-up mode or implementation method;On the contrary, it is intended to cover be included in claims
Various modifications and equivalence setting in spirit and scope.
Additionally, structure, ratio, size shown by this specification Figure of description etc., only to coordinate specification institute
Disclosure, for skilled in the art realises that with reading, be not limited to the enforceable qualifications of the disclosure, therefore
Do not have technical essential meaning, the modification of any structure, the change of proportionate relationship or the adjustment of size are not affecting the disclosure
Under the technique effect that can be generated and achieved purpose, still all should fall obtain and can cover in the technology contents disclosed in the disclosure
In the range of.Meanwhile, in this specification it is cited such as " on ", " first ", the term of " second " and " " etc., be also only and be easy to
Narration understands, and be not used to limit the disclosure enforceable scope, and its relativeness is altered or modified, without substantive change
Under technology contents, when being also considered as enforceable category of the invention.
Claims (20)
1. a kind of the condition of a disaster information service platform, it is characterised in that include:
Data gathering system, for collecting the condition of a disaster related data from multiple separate data sources;
Data storage and management system, for the disaster area related data is stored and managed;
Data open interface system, for providing opening interface to outside;
Data analysis system, for providing many general and/or particular data analysis module and/or data analysis flow process.
2. the condition of a disaster information service platform as claimed in claim 1, it is characterised in that the disaster area related data includes real-time calamity
In feelings information, history the condition of a disaster information, satellite remote-sensing image data, physical geography Back ground Information, navigation positioning data at least two
Kind.
3. the condition of a disaster information service platform as claimed in claim 1, it is characterised in that the data gathering system includes:
Data access subsystem, for accessing the plurality of separate data source;
Preprocessing subsystem, carries out data cleansing, data preparation, and/or data compression process to the disaster area related data, and
Generate corresponding metadata.
4. the condition of a disaster information service platform as claimed in claim 3, it is characterised in that the data storage and management system are also used
Process in fusion treatment and/or elements recognition are carried out to isomeric data.
5. the condition of a disaster information service platform as claimed in claim 3, it is characterised in that the data preparation include data segmentation,
At least one in data aggregate, form conversion.
6. the condition of a disaster information service platform as claimed in claim 1, it is characterised in that also include:
Service management system, for the registration of various information services, issues and/or state-maintenance.
7. the condition of a disaster information service platform as claimed in claim 1, it is characterised in that the disaster area related data includes structuring
Data, space structure data, and/or file type data.
8. the condition of a disaster information service platform as claimed in claim 1, it is characterised in that the data gathering system includes being arranged on
Data front-end system at each separate data source, the data front-end system include:
Packet for obtaining data, packing data from data source, and is put into data packet buffer by data pick-up subsystem;
Data transmit subsystem, for the packet is sent to the condition of a disaster information service platform.
9. the condition of a disaster information service platform as claimed in claim 8, it is characterised in that the data transmission subsystem includes:
Configuration module, for configuring the information related to packet transmission;
Multiple data transmitting modules, for being respectively transmitted the packet of respective type;
Transmission log pattern, for producing and managing packet transmission daily record;
Task management module, for packet transmission is scheduled and is managed.
10. a kind of information service system, it is characterised in that include:
Natural environment risk visualization system, based on the condition of a disaster information service platform as described in any one of claim 1-9, is used for
The risk of natural environment is analyzed and visual presentation;
The system of scenic spot disaster dynamic early-warning, based on the condition of a disaster information service platform as described in any one of claim 1-9, is used for
Certain types of natural calamity occurs to scenic spot carries out dynamic evaluation and early warning;And
The system of scenic spot calamity source assessment, based on the condition of a disaster information service platform as described in any one of claim 1-9, is used for
Certain types of natural calamity occurs to scenic spot carries out risk assessment.
11. information service systems as claimed in claim 10, it is characterised in that natural environment risk visualization system, including:
Exponential model system, is modeled to the condition of a disaster related data based on entropy weight analysis method, from time dimension, region dimension and/
Or industry dimension sets up the condition of a disaster appraisement system to four aspects of history the condition of a disaster data, and determine that evaluation index forms natural environment wind
Dangerous exponential model;
Display systems, for carrying out visual presentation to natural environment risk index;And
Risk evaluating system, for being estimated to following calamity source according to the condition of a disaster related data, the condition of a disaster phase
Closing data includes historical data and meteorology, earth's surface and hydrology dynamic data;
Wherein, the natural environment risk index includes comprehensive disaster target, and the condition of a disaster related data includes expert opinion.
12. natural environment risk visualization systems as claimed in claim 10, it is characterised in that:
The display systems support that SVG is rendered;And/or
At least one that the display systems are configured to pass in Voronoi diagram, arborescence, circular cluster and word cloud is carried out can
Show depending on changing.
13. natural environment risk visualization systems as claimed in claim 10, it is characterised in that also include:
Risk network chart system, for the affiliated enterprise for finding to be affected by natural disaster.
14. information service systems as claimed in claim 10, it is characterised in that for scenic spot disaster dynamic early-warning system, bag
Include:
Disaster Assessment system, for being carried out to the probability that certain scenic occurs particular type natural calamity according to the condition of a disaster related data
Dynamic evaluation;
Early warning system, for when the probability exceedes critical value, sending early warning information to user.
15. information service systems as claimed in claim 10, it is characterised in that for scenic spot disaster dynamic early-warning system, also
Including:
Hot spot module, for determining scenic spot hot spot region to provide fast reaction as the condition of a disaster process according to visitor location data.
16. information service systems as claimed in claim 10, it is characterised in that for scenic spot disaster dynamic early-warning system, also
Including:
Risk monitoring system, for obtaining scenic spot Monitoring Data in real time, wherein the condition of a disaster related data includes the scenic spot prison
Survey data;
Ecology of scenic area environment assessment system, for being quantified to scenic environment according to the condition of a disaster related data and being visualized assessment.
17. information service systems as claimed in claim 10, it is characterised in that for scenic spot disaster dynamic early-warning system, also
Including:
Route planning system, for, after disaster occurs, generating real-time road condition information, evacuating road according to the condition of a disaster related data
Line is advised, and/or rescues route;
Route delivery system, for issuing the real-time road condition information, evacuation route suggestion, and/or rescuing route;And/or
Rescue planning system, for, after disaster occurs, generating evacuation route planning, rescue power according to the condition of a disaster related data
Amount configuring, and/or relief goods configuring.
18. information service systems as claimed in claim 10, it is characterised in that for scenic spot calamity source assessment system, its
It is characterised by, including:
Risk index module, for the risk index according to the condition of a disaster correlation data calculation certain scenic;
Inquiry response module, for inquiry of the response to risk index;
Image information module, for generating scenic spot corresponding with risk index image;And/or
Index list block, for generating risk index list, the risk index list includes multiple scenic spots and corresponding wind
Dangerous index.
19. information service systems as claimed in claim 10, it is characterised in that for scenic spot calamity source assessment system, its
It is characterised by, also includes:
Historical disaster enquiry module, on a time period and/or Disasters Type query history disaster incidence and/or disaster it is tight
Weight degree.
20. information service systems as claimed in claim 10, it is characterised in that the risk index module is carried out according to following formula
Risk assessment:
Wherein Flood inducing factors are the various factors for describing Disaster Event feature, and hazard-affected body exposed property refers to and may be subject to hazards
The all people and properties for threatening, what hazard-affected body fragility referred to hazard-affected body combat a natural disaster performance.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201611027651.5A CN106529817A (en) | 2016-11-17 | 2016-11-17 | Disaster information service platform and information service system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201611027651.5A CN106529817A (en) | 2016-11-17 | 2016-11-17 | Disaster information service platform and information service system |
Publications (1)
Publication Number | Publication Date |
---|---|
CN106529817A true CN106529817A (en) | 2017-03-22 |
Family
ID=58353169
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201611027651.5A Pending CN106529817A (en) | 2016-11-17 | 2016-11-17 | Disaster information service platform and information service system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN106529817A (en) |
Cited By (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107194549A (en) * | 2017-05-05 | 2017-09-22 | 南京南瑞继保电气有限公司 | The visual presentation method that a kind of energy efficiency indexes are decomposed |
CN107220279A (en) * | 2017-04-19 | 2017-09-29 | 民政部国家减灾中心 | The Dynamic Tracking and system of Disaster Event |
CN107423999A (en) * | 2017-03-31 | 2017-12-01 | 优品财富管理股份有限公司 | A kind of orientation based on user grouping issues advertising method and system |
CN108334974A (en) * | 2017-12-18 | 2018-07-27 | 上海瀚莅电子科技有限公司 | Hazards monitoring method, apparatus, helmet and computer readable storage medium |
CN108519930A (en) * | 2018-01-31 | 2018-09-11 | 万达信息股份有限公司 | Transmission, relevance storage and the data safety safeguards system of big data |
CN108694505A (en) * | 2018-05-14 | 2018-10-23 | 中国路桥工程有限责任公司 | A kind of intelligence geological hazard dangerous analysis method |
CN108809805A (en) * | 2018-05-25 | 2018-11-13 | 腾讯科技(深圳)有限公司 | A kind of information interacting method, system and public's account client |
CN109741580A (en) * | 2018-12-28 | 2019-05-10 | 北京市劳动保护科学研究所 | A kind of multi-source warning information integrates sharing method and device |
CN109816179A (en) * | 2019-03-05 | 2019-05-28 | 重庆工商大学融智学院 | ECOLOGICAL ENVIRONMENTAL MONITORING method for early warning and system based on big data |
CN110363964A (en) * | 2019-07-12 | 2019-10-22 | 新疆维吾尔自治区测绘科学研究院 | It is a kind of landslide and Geological Hazards of debris monitoring and emergency response method |
CN111508192A (en) * | 2020-03-19 | 2020-08-07 | 陕西理工大学 | Ecological environment and tourism monitoring platform |
CN112735095A (en) * | 2020-12-25 | 2021-04-30 | 广东电网有限责任公司 | Natural disaster early warning system and method based on network |
CN115204676A (en) * | 2022-07-15 | 2022-10-18 | 西安中交公路岩土工程有限责任公司 | Natural disaster risk assessment method for highway |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103699973A (en) * | 2013-12-31 | 2014-04-02 | 国家电网公司 | Power grid typhoon prevention and disaster relief aid decision making support system based on GIS (Geographic Information System) |
US20140108074A1 (en) * | 2011-08-17 | 2014-04-17 | Roundhouse One Llc | Multidimensional digital platform for building integration and analysis |
CN105550824A (en) * | 2016-01-13 | 2016-05-04 | 天津中科智能识别产业技术研究院有限公司 | Intelligent disaster situation evaluation system |
-
2016
- 2016-11-17 CN CN201611027651.5A patent/CN106529817A/en active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20140108074A1 (en) * | 2011-08-17 | 2014-04-17 | Roundhouse One Llc | Multidimensional digital platform for building integration and analysis |
CN103699973A (en) * | 2013-12-31 | 2014-04-02 | 国家电网公司 | Power grid typhoon prevention and disaster relief aid decision making support system based on GIS (Geographic Information System) |
CN105550824A (en) * | 2016-01-13 | 2016-05-04 | 天津中科智能识别产业技术研究院有限公司 | Intelligent disaster situation evaluation system |
Cited By (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107423999A (en) * | 2017-03-31 | 2017-12-01 | 优品财富管理股份有限公司 | A kind of orientation based on user grouping issues advertising method and system |
CN107220279A (en) * | 2017-04-19 | 2017-09-29 | 民政部国家减灾中心 | The Dynamic Tracking and system of Disaster Event |
CN107194549A (en) * | 2017-05-05 | 2017-09-22 | 南京南瑞继保电气有限公司 | The visual presentation method that a kind of energy efficiency indexes are decomposed |
CN108334974A (en) * | 2017-12-18 | 2018-07-27 | 上海瀚莅电子科技有限公司 | Hazards monitoring method, apparatus, helmet and computer readable storage medium |
CN108519930A (en) * | 2018-01-31 | 2018-09-11 | 万达信息股份有限公司 | Transmission, relevance storage and the data safety safeguards system of big data |
CN108694505A (en) * | 2018-05-14 | 2018-10-23 | 中国路桥工程有限责任公司 | A kind of intelligence geological hazard dangerous analysis method |
CN108809805A (en) * | 2018-05-25 | 2018-11-13 | 腾讯科技(深圳)有限公司 | A kind of information interacting method, system and public's account client |
CN108809805B (en) * | 2018-05-25 | 2020-04-28 | 腾讯科技(深圳)有限公司 | Information interaction method and system and public account client |
CN109741580A (en) * | 2018-12-28 | 2019-05-10 | 北京市劳动保护科学研究所 | A kind of multi-source warning information integrates sharing method and device |
CN109816179A (en) * | 2019-03-05 | 2019-05-28 | 重庆工商大学融智学院 | ECOLOGICAL ENVIRONMENTAL MONITORING method for early warning and system based on big data |
CN110363964A (en) * | 2019-07-12 | 2019-10-22 | 新疆维吾尔自治区测绘科学研究院 | It is a kind of landslide and Geological Hazards of debris monitoring and emergency response method |
CN111508192A (en) * | 2020-03-19 | 2020-08-07 | 陕西理工大学 | Ecological environment and tourism monitoring platform |
CN112735095A (en) * | 2020-12-25 | 2021-04-30 | 广东电网有限责任公司 | Natural disaster early warning system and method based on network |
CN115204676A (en) * | 2022-07-15 | 2022-10-18 | 西安中交公路岩土工程有限责任公司 | Natural disaster risk assessment method for highway |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN106529817A (en) | Disaster information service platform and information service system | |
Zheng et al. | Crowdsourcing methods for data collection in geophysics: State of the art, issues, and future directions | |
Tan et al. | Can we detect trends in natural disaster management with artificial intelligence? A review of modeling practices | |
Cervone et al. | Using Twitter for tasking remote-sensing data collection and damage assessment: 2013 Boulder flood case study | |
US10909647B2 (en) | Damage data propagation in predictor of structural damage | |
Cervone et al. | Using social media and satellite data for damage assessment in urban areas during emergencies | |
Sokat et al. | Incomplete information imputation in limited data environments with application to disaster response | |
JP2018195310A (en) | Estimation of loss prevention accompanied with architectural structure modification | |
US10740684B1 (en) | Method and system to predict the extent of structural damage | |
AU2014203819A1 (en) | Method and system for generating a flash flood risk score | |
Yuan et al. | Smart flood resilience: harnessing community-scale big data for predictive flood risk monitoring, rapid impact assessment, and situational awareness | |
Bordbar et al. | Multi-hazard spatial modeling via ensembles of machine learning and meta-heuristic techniques | |
Tomsen et al. | Evacuation planning in the Auckland Volcanic Field, New Zealand: a spatio-temporal approach for emergency management and transportation network decisions | |
Mihunov et al. | Disaster impacts surveillance from social media with topic modeling and feature extraction: case of Hurricane Harvey | |
Wang et al. | Correlating Twitter use with disaster resilience at two spatial scales: A case study of Hurricane Sandy | |
Wang et al. | Machine learning-based prediction of sand and dust storm sources in arid Central Asia | |
Franceschini et al. | Integrating multiple information sources for landslide hazard assessment: the case of Italy | |
Royer et al. | Rapid evaluation and response to impacts on critical end-use loads following natural hazard-driven power outages: A modular and responsive geospatial technology | |
Ulak et al. | Resilience characterization for multilayer infrastructure networks | |
Crawford et al. | Landslide Risk Assessment in Eastern Kentucky, USA: Developing a Regional Scale, Limited Resource Approach | |
Liu et al. | Smart technologies for emergency response and disaster management | |
Mukhamediev et al. | Intelligent unmanned aerial vehicle technology in urban environments | |
Dunaway et al. | Research agenda in intelligent infrastructure to enhance disaster management, community resilience and public safety | |
Pashova et al. | Towards mapping multi-hazard vulnerability of natural disasters for the Bulgarian territory | |
Khurshid et al. | Big data value dimensions in flood disaster domain |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170322 |