CN105956981A - Disaster information cloud computing system and disaster information cloud computing method - Google Patents

Disaster information cloud computing system and disaster information cloud computing method Download PDF

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Publication number
CN105956981A
CN105956981A CN201610297979.2A CN201610297979A CN105956981A CN 105956981 A CN105956981 A CN 105956981A CN 201610297979 A CN201610297979 A CN 201610297979A CN 105956981 A CN105956981 A CN 105956981A
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disaster
cloud computing
layer
resource
disaster information
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华翔
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Xian University of Technology
Xian Technological University
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Xian Technological University
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    • 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
    • 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
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00Three dimensional [3D] modelling, e.g. data description of 3D objects
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A10/00TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE at coastal zones; at river basins
    • Y02A10/40Controlling or monitoring, e.g. of flood or hurricane; Forecasting, e.g. risk assessment or mapping
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A50/00TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE in human health protection, e.g. against extreme weather

Abstract

The invention relates to a disaster information cloud computing system and a disaster information cloud computing method. The computing system comprises a disaster information cloud computing platform, a user terminal and a data transmission network. The disaster information cloud computing platform is designed into a six-layer architecture, and is configured to call a geological model and an analysis model according to disaster information and geological information to complete a disaster information computing and processing, disaster simulation, disaster assessment, warning and forecasting and disaster demonstration process. The six-layer architecture is composed of a hardware resource layer, a uniform resource pool layer, a geological model and analysis model resource pool layer, a disaster simulation model resource pool layer, a disaster visual simulation expression layer, and a management scheduling layer. The system and the method enable users to enjoy professional and fast disaster information processing service, and time, money, manpower and other costs can be saved. The system and the method can be widely applied to all kinds of natural disasters such as landslide, debris flow, collapse, earthquake, flash flood and avalanche.

Description

A kind of disaster information cloud computing system and computational methods
Technical field
The present invention relates to field of cloud computer technology, be specifically related to a kind of cloud computing for disaster information System and computational methods.
Background technology
In every rainy season, disaster Yi Fa district in all parts of the country will face mud-rock flow, landslide, avalanche The situation taken place frequently etc. disaster, owing to geological disaster usually occurs in that natural conditions are severe, has inconvenient traffic The mountain area of profit, show have a very wide distribution, topography and geomorphology is complicated, relate to the features such as populous, Therefore annual Sudden Geological Hazards all causes substantial amounts of masses' injures and deaths and huge property loss, thus Anti-seismic study for geological disaster shows important especially.
Correlational study for geological disaster is long-standing, at present monitoring and the research to geological disaster Mainly there is both of which.One is weather forecast+mass presdiction and disaster prevention pattern, i.e. country's damage forecasting is taken precautions against Advanced warning grade is issued in early warning information timing, investigates in conjunction with manpower emphasis, and this pattern early warning area is big, Labor intensive is many, and accuracy and precision shortcoming, is therefore extremely difficult to accurately investigate, Quan Mianfang Model, the result of accurate forecast.Another kind is unmanned monitoring network schemer, uses pluviometer, soil The multiple sensors such as water content meter, displacement meter, accelerometer, vibration measurer, gather certain panel region Information, is uploaded to central station by networks such as wireless sensor network, GPRS network, satellites, group Become a monitoring system, carry out calculating and the research of disaster information.Generally these systems are had a style of one's own, Coverlet has exclusively enjoyed and has used, and the preparation at system centre station and construction need to use the compuman of specialty Member, put into considerable fund and just can come into operation through the complete construction period, therefore to enter Monitoring or research, first constituent parts that row is relevant obtain in setting up a data storage voluntarily and calculating Center station, including a series of hardware, such as: server, computer, storage, the network equipment, and A series of software, such as: data processing software, systems soft ware, drive software, fail-safe software etc., Also to buy or to develop corresponding geological models or kinetic model, the most to be installed, debugging, Monitoring and research work could be carried out after success.But after central station puts into operation, due to disaster The sudden feature of information service, the average resource of system can show the highest, if therefore The hardware conditions such as the CPU of central station, internal memory, network speed are general, then the big rule during disaster happens suddenly Modulus will be affected according to the speed processed, even if the best computational methods, the most real-time Monitoring all can not embody effect because the computing capability of central station does not catches up with, and even delays calamity The valuable opportunity of evil forecast;If but the hardware configuration meeting peak computational simply, then to expend The input cost of great number, and send out the phase less in disaster, these high performance hardware resources will be in idle State.
Summary of the invention
In order to solve the technical problem of above-mentioned appearance, the present invention provides a kind of disaster information cloud computing system System, it includes disaster information cloud computing platform, user terminal and data transmission network, disaster information The framework of cloud computing platform uses six layer architecture designs, and its configuration ground is for according to disaster information and ground Matter information call geological model and analyze model complete the calculating of disaster information and process, disaster emulation, Disaster Assessment, early-warning and predicting and demonstration Hazard processes, six layer architectures include hardware resource layer, system One resource pool layer, geological model and analysis model resource pond layer, disaster phantom resource pool layer, Disaster vision simulation presentation layer and management and dispatching layer, the internal employing of disaster information cloud computing platform opens The framework of formula, every layer of inside has I/O interface, is used for realizing for extension, deleting or revise and adjust The function of degree.
Preferably, the hardware resource in hardware resource layer includes server, storage device, network Equipment.
Preferably, the hardware resource of hardware resource layer is carried out virtual by unified resource pond layer configuration ground Change and form specific resources.
Preferably, geological model and analysis model resource pond layer are for Disasters Type and Geology Type is set up geologic structure model storehouse and analyzes model library.
Preferably, disaster phantom resource pool layer carries out real time data and pass for burst fire-disaster The simulation calculation of connection historical data and assessment of risks.
Preferably, disaster vision simulation presentation layer and management and dispatching layer for different disaster targets and Disaster loss grade carries out visual simulation, including setting up rendering model storehouse required in vision simulation and scheduling Relation.
Preferably, management and dispatching aspect provides the multiple parallel information of service to appoint to different user Business is managed and dispatches.
Preferably, disaster information cloud computing platform is internal uses open framework, every layer of inside There is I/O interface, for realizing the function for extending, deleting or revise and dispatch.
The present invention also provides for a kind of disaster information cloud computing method, and it uses any of the above-described technical side Disaster information cloud computing system in case, method is capable of the storage of disaster information, disaster information Calculating and process, disaster emulation, Disaster Assessment, early-warning and predicting and demonstration Hazard processes.
As preferably, method includes the following operation phase: plans, dispose and runs, wherein, and rule The stage of drawing includes various hardware resource pool, consistent dispatching method and quick deployment techniques;Portion Administration is that different user dynamically takies various resource according to respective resource requirement in the stage, first carries out initial Change resource deployment, when all hardware and software resource environment are the most ready, whole system is carried out Initial configuration process, launches to run to dispose, in order to meet different user during tasks carrying Elastic demand, the dynamic dispatching that resource is carried out and configuration;Operation phase is to use resource to carry out Calculate, store, finally give the process of result.
As preferably, when realizing different functions, comprise the following steps:
In terms of disaster data storage, the disaster data gathered as user needs magnanimity, long-term , reliably storage or during backup, user terminal is remotely uploaded to disaster data by the Internet Information cloud computing platform, the scale according to data and feature are hewed out a space and deposit this by platform Data;
In terms of disaster data process, when user need to carry out disaster data compare and analyze time, Selected data block to be analyzed on user side software, then chooses geological model and analyzes model, under Reaching computations, disaster information cloud computing platform receives order, according to the scale calculated and user Calculate time requirement estimate required resource, in resource pool, then transfer corresponding resource, enter Row parallel computation, then the quota of each resource during this, can be adjusted flexibly according to real-time condition, meter Calculation exports analysis result to user terminal after completing, wherein, and various geological models and analysis model It is user's designed, designed, has been loaded by manager, or only open to this user, or Open by authorizing other user;
In terms of disaster emulation, when user needs the research carrying out disaster emulation, soft at user side The data block of selected required emulation on part, including real time data and historical data, relates to: the time period, Point category informations such as region is chosen, parameter kind, then choose disaster phantom, assign emulation and refer to Order, disaster information cloud computing platform is according to the time requirement emulated and the complexity of data calculating, rule Mould estimates required resource, then calls the resources such as CPU, internal memory, storage, network in resource pool, Carry out parallel computation, after having calculated, simulation result is exported to user;
In terms of disaster vision simulation, when user needs the result intuitive way of disaster emulation When displaying, on user side software, selected vision simulation function, assigns instruction, disaster information Cloud computing platform will call corresponding scene simulation model according to simulation result, carry out vision simulation, Picture and acoustic consequences 3-D view are showed.
The disaster information cloud computing system that the present invention relates to and computational methods are the extensive of disaster data Storage, the research of Disaster Science, the research of damage forecasting provide professional, that share a, height The cloud computing platform of performance and method, it is provided that a series of sharable, " unrestrictedly ", general Storage and calculate resource, different demands for multiple users can provide the depositing of large-scale data again simultaneously Storage function, the preprocessing function of disaster data, models treated function, disaster copying and The various disaster information such as what comes into a driver's reproduction capability processes function, such user both can enjoy specialty, Quickly disaster information processes service, can save again many costs such as time, money, manpower, Can be widely used for various natural disaster such as landslide, mud-rock flow, subside, earthquake, mountain torrents, snowslide etc., Can also towards the research that the whole society is disaster, monitor and forecast offer one large-scale calculations and magnanimity The cloud platform of data storage.
Accompanying drawing explanation
Fig. 1 is the structure chart of the disaster information cloud computing system that the present invention relates to;
Fig. 2 is the Organization Chart calculating platform in the disaster information cloud computing system that the present invention relates to;
Fig. 3 is the software interactive schematic diagram of the disaster information cloud computing system that the present invention relates to.
Detailed description of the invention
Below in conjunction with the drawings and specific embodiments, the present invention is further detailed explanation.
The disaster information cloud computing system that the present embodiment relates to as shown in Figure 1 includes disaster information cloud meter Calculate platform 1, user terminal 2 and data transmission network 3, the topology of this disaster information cloud computing system Structure as it is shown in figure 1, wherein disaster information cloud computing platform 1 be service provider, it can be deposited Store up the data of multiple disaster and calculate accordingly, multiple user can be met to different disaster numbers simultaneously According to process task;User terminal 2 is to enjoy service side, it is not necessary to consider that data process and storage Intermediate link and hardware, the problem such as maintenance of software, it is only necessary to for processing object and process Result selects suitable model and parameter, it is possible to enjoying disaster information cloud computing platform 1 is provided Powerful, professional storage, calculate, process function.Specifically, user terminal 2 include input, Outlet terminal, input terminal refers to the process task that system carries out storing, assigns when calculating, Yi Jichu The setting of beginningization parameter, outlet terminal refers to the result output of simulation run, in systems with user side Form design.Data transmission network 3 can data quick exchange in safeguards system and transmission Safety.
Specifically, the framework of disaster information cloud computing platform 1 uses hierarchical architecture design, specifically It is designed as six layers of reference model, as in figure 2 it is shown, specifically include hardware resource layer, unified resource pond Layer, geological model and analysis model resource pond layer, disaster phantom resource pool layer, disaster what comes into a driver's Emulation presentation layer and management and dispatching layer.
Wherein, ground floor i.e. the bottom are hardware resource layer, and it includes that server, storage set The hardware such as standby, the network equipment.The second layer is unified resource pond layer, its hard to the bottom of configuration ground Part resource carries out virtualized resource, including: hardware or the resources such as CPU, storage, internal memory, bandwidth, Specifically, it by carrying out calculating virtualization, Storage Virtualization, interior to the hardware resource of ground floor Deposit the virtual process such as virtualization, bandwidth virtualization, hardware resource be divided into CPU, storage, internal memory, The resources such as network, and obscured the boundary of hardware device;More specifically, it is hard to all physics Part resource is integrated, and crosses over the equipment of different vendor, distinct device structure, logically creates Calculate resource pool, memory source pond, memory resource pool, bandwidth resources pond etc., in a uniform manner It is the resource of its last layer offer physics with interface, when building, need to first determine server, storage and net Network equipment, in order to shield the difference between different brands, different model hardware, uses storage virtual Change, network virtualization, CPU Intel Virtualization Technology, integrate all hardware, forms resource pool, and specification Unified management logic and interface, can use mainstream technology VMare Virtual Machine File System、IBM Tivoli Storage Manager、Google File System、Hadoop Distributed File System etc..Additionally, also need virtualized monitoring resource is used not Same granularity and abstraction hierarchy, contain utilization rate and the read-write behaviour of CPU usage, internal memory and storage Work, the input and output of network and routing state.In order to improve resource utilization, close slack resources, Use autobalance mechanism that the load on hardware resource is merged.In order to avoid load imbalance Or start causes wasting physical equipment idling-resource and electric power energy without task and overload occurs The slow problem of computing, load management can move to task load relatively from the node of over loading On low node, thus reach reasonable, effectively utilize physical equipment and the energy.Third layer is ground Matter model and analyze model resource pond layer, its for landslide, mud-rock flow, subside, earthquake, mountain torrents, The Disasters Types such as snowslide, and to river, Shan, sweet, mountain area, Yunnan, Southeast Tibet mountain area, loess plateau, The multiple geological type such as landforms sets up typical geology structural model storehouse, set up development model, polynary point Analysis model, regression analysis model, time series models, Grey System Model, optimizing model, Linear programming model, mathematics computing model etc. analyze model library;Wherein, geological model storehouse and disaster Analyze the enforcement of model library and include river, Shan, sweet, the mountain area in Yunnan, Southeast Tibet mountain area, loess high Statistical data and the analytical data of the multiple landforms such as former set up typical geology structural model.For landslide, Mud-rock flow, subside, earthquake, mountain torrents, the multiple Disasters Type such as snowslide, according to every kind of landform and district The transition process in territory set up the development model of disaster, multivariate analysis model, regression analysis model, time Between series model, Grey System Model, optimizing model, linear programming model, mathematical calculation mould The port of the major parameter of every kind of model is opened by types etc., can input parameter, using the teaching of the invention it is possible to provide ground Matter analysis and research and disaster developmental analysis are studied, as geological type is prevented in differentiation in different regions process, disaster The researchs such as the data process that the geologic data processing of Yu Qu, disaster are grown.4th layer emulates for disaster Model resource pond layer, its for landslide, mud-rock flow, subside, earthquake, mountain torrents, the burst such as snowslide Disaster carries out real time data and the simulation calculation of associated historical and assessment of risks, specifically includes pin To the simulation calculation of soil layer deformation simulation, Simulation of stability, flow field simulation, geology transition etc., The simulation calculation of matter type difference, the comparison simulation calculation etc. of associated historical and danger classes Assessment emulation;The enforcement of disaster simulation model library includes river, Shan, sweet, the mountain area in Yunnan, Zang Dong The disaster that the multiple landforms such as Nanshan District, loess plateau produce emulates, and sets up at geological model On the basis of, for the influence factor of multiple disaster and risk factor (include geologic(al) factor, weather because of Element, anthropic factor and other relation factor) set up soil layer deformation simulation, Simulation of stability, stream The phantoms such as field emulation, geology transition, can perform the simulation calculation of single factors or blocking factor Calculate with prediction, and the open-ended to influence factor, adjustment input parameter can be inputted, carry out calamity Evil simulation calculation and disaster loss grade assessment calculate.Layer 5 is disaster vision simulation presentation layer, its pin Different disaster targets and disaster loss grade are carried out visual simulation, covers required painting in vision simulation Simulation storehouse and scheduling relation, including: three-dimensional terrain model, environmental background model, rending model, The models etc. such as moving displacement model, texture model, rendering algorithm, specifically, its for landslide, Mud-rock flow, subside, earthquake, mountain torrents, the different target such as snowslide and disaster loss grade carry out vision simulation; The enforcement of disaster vision simulation can use existing multiple figure, image drawing program and language, as The vision simulations such as Vega, Vega Prime, 3D Max, Creator, Open GL, Cg, VC are soft Part, modeling tool and language, set up multiple object model, carries out the exploitation of vision emulation system. Wherein, to physical model, such as dimensional topography, stone, trees, house etc., use and be applicable to reality Time vision simulation polygon modeling instrument Creator etc. generate, or utilize painting of Open GL etc. Figure order is drawn, and becomes file type applicatory by third party's tool change, is saved in mould In type storehouse;Object is raised etc. for flexible body, such as cigarette, vapour, dirt, the modes such as particIe system can be used Draw;For special-effect and rendering effect, mapping technology can be used to simulate material, realization The simulation of dynamic effect;For light, shadow effect, the control in figure, image rendering instrument can be used Part;For texture, the image editing softwares such as Photoshop can be used to make, the most in the plane Mapping textures;For weather condition (include rainfall, snowfall, hail, dust storm, fine day, the cloudy day, Cloudy etc.) control in figure, image rendering instrument can be used, it is also possible to draw voluntarily, load In sky air reservoir.Model in model library carries out standardisation requirements, uniform coordinate, unified resolution Rate, uniform sizes ratio etc., it is simple to the United Dispatching of vision emulation system and use.Image rendering The various ways such as iso-surface patch, volume drawing, particIe system drafting can be used to present.Layer 6 is also It is exactly top for management and dispatching layer, its multiple parallel information serviced towards different user offer Task is managed and dispatches, and specifically, uses multi-user technology and vertical management interfacing, Can be multiple user service, it is possible to the service of different levels is provided simultaneously simultaneously.
As preferred embodiment, disaster information cloud computing platform 1 inside can use open Framework, every layer of inside has I/O interface, can realize for extension, deletes or revise and dispatch, tool Body ground, is classified according to functions in layer as one or more storehouses, the interface that the execution of each storehouse is unified Specification, each storehouse comprises some storehouses elements for calling, element in storehouse (refer to various model, algorithm, Method etc.) independent mutually, and be packaged into the call format in affiliated storehouse, when needs model add, Delete or revise, it is also necessary to following the encapsulation format in affiliated storehouse.Between layers by I/O interface, Directly providing service for last layer, every layer of I/O interface for top offer is different disposal requirement User result of calculation is provided, also so be available for top i.e. management and dispatching layer carry out vertical management and Scheduling, the user required for different disposal provides result of calculation.
Maintenance within disaster information cloud computing platform 1 is undertaken by platform administrator, does not opens user Put, platform interior provide high safety ensure, it is achieved expansion or delete specifically, ground floor can Scale according to disaster information cloud computing platform 1 needs add or delete hardware resource, including service The equipment such as device, storage device, the network equipment;Hard according to the bottom of second layer unified resource pond layer The adjustment of part resource fictionalizes the resources such as CPU, storage, internal memory, network;Third layer geological model and Analyze model resource pond layer, the interpolation of model can be carried out as required, to existing model modification, also Platform administrator can be then forwarded to loaded warehouse-in by user's designed, designed;4th layer of disaster emulation Model resource pond layer can be according to the concrete geological condition of emulation and surrounding enviroment amendment simulation parameter, also New disaster simulation object, self-defining assessment of risks index can be added, set up the assessment of oneself Model and system;Layer 5 disaster vision simulation presentation layer can add new dimensional topography, texture, The contents such as specially good effect.
Additionally, disaster information cloud computing platform 1 is outside may be used without Open architecture, user is permissible According to task need carry out long-term, the safe storage of data and backup;Geological Model can be called Type and analysis model, complete multiple calculating and the process of disaster information;Disaster emulation can also be carried out, Carry out Disaster Assessment and early-warning and predicting;Hazard processes can also be gone out with the demonstration of picture and sound image.
As preferred embodiment, disaster information cloud computing interactive software is disaster information cloud computing The medium of the information interaction of platform 1 and user terminal 2, as it is shown on figure 3, disaster information cloud meter Calculation platform 1 externally provides the door of service to be a server, mounted thereon and runtime server End software, installs on the user terminal 2 and runs user side software, wherein, server software Use C/S model or B/S pattern to interact with user side software, carried out by Internet Information is transmitted.
Operationally, the particular port to be opened such as server software, keep listening state, wait The connection of client software, when client software active request Connection Service device end, identity to be carried out Identifying and safety certification, the most just can assign the order of this subtask, server is just paid task To the disaster information cloud computing platform 1 at rear, after platform receives task, enter into management and dispatching layer, Call required each layer resource, perform task.During tasks carrying, according to the spy of task Point can keep coupling or interrupt to couple, if carrying out the storage backup of large-scale data, and must the moment Keep coupling the smoothness ensureing to upload data, calculate task for a long time to expend, then can interrupt This time couple, after wait task completes, again couple and enter server end, obtain result of calculation. So user just can use storage, the meter that disaster information cloud computing platform 1 provides to greatest extent The resources such as calculation, emulation.
Disaster information cloud computing platform 1 is internal carries out high security, the cloud computing platform 1 of high isolation Mechanism, different task scheduling strictly observes its opereating specification, the calculating of each user and storing process Hold in close confidence, it is impossible to more district accesses or access of bypassing the immediate leadership.Additionally, outside disaster information cloud computing platform 1 Portion is undertaken door function by a server with isolation features, connect Internet (or Intranet) network, open certain port and bandwidth connect for user side, run thereon The server software of disaster information cloud computing interactive software, and possess other relevant operating system With network security modes such as fire walls.
For ensureing that disaster information cloud computing system normally works, each validated user obtains corresponding calamity Evil information cloud computing service, its internal system runs the software having a series of detection, management and safety And mechanism.In order to ensure infrastructure resources, model resource, algorithm resource, process resource, imitate True resources etc. are not by illegal invasion and use, from each layer and the resource comprised in terms of accessing isolation The most directly opening to the outside world, user can only use these indirectly by the interface that management and dispatching layer provides Resource, in terms of intrusion prevention use hardware/software fire wall, in terms of Information Security use with The encryption method counterweights such as secret key, MDA, unsymmetrical key to be ordered and data are encrypted transmission, Bidirectional identification checking and authority recognition is used in terms of user right.
Hardware configuration or software arrangements is not required, it is only necessary to can install and normally transport for user side User side part in row disaster information cloud computing interactive software, if but imitated disaster what comes into a driver's Genuine picture renders verisimilitude and refreshes real-time aspect requirement height, then require the video card of configuration specialty, To promote the calculating speed of GPU, the result strengthening vision simulation is shown.
The disaster information cloud computing system that the present invention relates to can provide the cloud computing service of different levels, Including disaster data storage, disaster data processes, disaster emulates, disaster vision simulation Scene Simulation, Therefore can meet the different user process requirement to disaster information, as landslide, mud-rock flow, subside, The mass data storage of multiple disaster such as earthquake, mountain torrents, snowslide, geological model calculate, information is closed Connection degree excavates, grow simulation calculation, estimate and grade, the function such as disaster sight preview, and disaster is believed When breath cloud computing platform 1 concrete performs task, the work undertaken includes: plan, dispose and Run.Planning stage includes various hardware resource pool, consistent dispatching method and quickly deployment Technology.Deployment phase is that different user dynamically takies various resource according to respective resource requirement, first Carry out initializing resource deployment, when all hardware and software resource environment are the most ready, to whole system The initial configuration process that system is carried out, launches to run to dispose, in order to meet during tasks carrying The elastic demand of different user, the dynamic dispatching that resource is carried out and configuration.Operation phase is to use Resource carries out calculating, storing, and finally gives the process of result.When realizing different functions, bag Include following methods:
Wherein, in terms of disaster data storage, when user gather disaster data need by magnanimity, When long-term, storage reliably or backup, user terminal 2 is remotely uploaded data by the Internet To disaster information cloud computing platform 1, the scale according to data and feature are hewed out a space by platform Deposit this data.Multiple safety assurance within disaster information cloud computing platform 1, therefore deposits The data of storage have safety and the exclusive use of height.
In terms of disaster data process, when user need to carry out disaster data compare and analyze time, Selected data block to be analyzed on user side software (relates to: time period, region are chosen, parameter kind Class etc. point category information), then choose geological model and analyze model, assigning computations.Disaster is believed Breath cloud computing platform 1 receives order, and the calculating time requirement according to the scale calculated and user is pre- Estimate required resource (including: the underlying resources such as CPU, storage, internal memory, bandwidth), then in money Transfer corresponding resource in pond, source, carry out parallel computation, then can be according to real-time condition spirit during this The quota adjusting each resource lived, after having calculated exports analysis result to user terminal 2.Wherein, Various geological models and analysis model can be user's designed, designeds, loaded by manager, Can be only open to this user, it is also possible to open by authorizing other user.
In terms of disaster emulation, when user needs the research carrying out disaster emulation, soft at user side The data block of selected required emulation on part, including real time data and historical data, relates to: the time period, Region is chosen, parameter kind etc. point category information, then choose landslide, mud-rock flow, subside, earthquake, The disaster phantom such as mountain torrents, snowslide, assigns emulator command, disaster information cloud computing platform 1 Required resource is estimated in time requirement and the complexity of data calculating, scale according to emulation, then exists Calling the resources such as CPU, internal memory, storage, network in resource pool, carry out parallel computation, calculating completes Afterwards simulation result is exported to user.Wherein, various phantoms are existing in can calling storehouse, also Can have been loaded by manager with user's designed, designed, it uses authority to may be configured as exclusively enjoying or being total to Enjoy.
In terms of disaster vision simulation, when user needs the result intuitive way of disaster emulation When displaying, on user side software, selected vision simulation function, assigns instruction.Disaster information Cloud computing platform 1 will call corresponding scene simulation model according to simulation result and (include: dimensionally Shape model, skylight according to background model, weather specially good effect model, rending model, moving displacement model, Texture model, rendering model etc.), carry out vision simulation, by picture and acoustic consequences 3-D view Show, present to that user one is true to nature, simulation result intuitively.
One representative embodiment of the present invention has obtained detailed description referring to the drawings.These are detailed Description only give those skilled in the art further believe content, for implement the present invention Preferred aspect, and the scope of the present invention will not be limited.Only have claim for really Determine protection scope of the present invention.Therefore, the combination of the feature in foregoing detailed description and step is not It is necessary for implementing the present invention in the broadest scope, and the most only to the present invention The representative embodiment described in detail especially provide teaching.Additionally, in order to obtain the attached of the present invention Adding useful embodiment, the various different feature providing teaching in the description can be in several ways In conjunction with, but these modes are not enumerated out especially.

Claims (10)

1. a disaster information cloud computing system, it includes disaster information cloud computing platform (1), uses Family terminal (2) and data transmission network (3), the frame of described disaster information cloud computing platform (1) Structure uses six layer architecture designs, and its configuration ground is for calling geology according to disaster information and geological information Model and analyze model and complete the calculating of disaster information and process, disaster emulation, Disaster Assessment, in advance Alert forecast and demonstration Hazard processes, described six layer architectures include hardware resource layer, unified resource pond Layer, geological model and analysis model resource pond layer, disaster phantom resource pool layer, disaster what comes into a driver's Emulation presentation layer and management and dispatching layer, the internal employing of described disaster information cloud computing platform (1) opens The framework of formula, every layer of inside has I/O interface, is used for realizing for extension, deleting or revise and adjust The function of degree.
Disaster information cloud computing system the most according to claim 1, it is characterised in that: described Hardware resource in hardware resource layer includes server, storage device, the network equipment.
Disaster information cloud computing system the most according to claim 1, it is characterised in that: described Layer configuration ground, unified resource pond carries out virtualization to the described hardware resource of described hardware resource layer and is formed Specific resources.
Disaster information cloud computing system the most according to claim 1, it is characterised in that: described Geological model and analysis model resource pond layer set up geologic structure for Disasters Type and geological type Model library and analysis model library.
Disaster information cloud computing system the most according to claim 1, it is characterised in that: described Disaster phantom resource pool layer carries out the imitative of real time data and associated historical for burst fire-disaster True calculating and assessment of risks.
Disaster information cloud computing system the most according to claim 1, it is characterised in that: described Disaster vision simulation presentation layer and management and dispatching layer regard for different disaster targets and disaster loss grade Scape is simulated, including setting up rendering model storehouse required in vision simulation and scheduling relation.
Disaster information cloud computing system the most according to claim 1, it is characterised in that: described Management and dispatching aspect provides the multiple parallel information task of service be managed and adjust to different user Degree.
8. a disaster information cloud computing method, it uses according to any one of claim 1-7 Disaster information cloud computing system, it is characterised in that be capable of the storage of disaster information, disaster information Calculating and process, disaster emulation, Disaster Assessment, early-warning and predicting and demonstration Hazard processes.
Disaster information cloud computing method the most according to claim 8, it is characterised in that: described Method includes the following operation phase: plans, dispose and runs, and wherein, the planning stage includes respectively Plant hardware resource pool, consistent dispatching method and quick deployment techniques;Deployment phase is different using Family dynamically takies various resource according to respective resource requirement, first carries out initializing resource deployment, when All hardware and software resource environment are the most ready, the initial configuration process carrying out whole system, Launch to run during tasks carrying to dispose, in order to meet the elastic demand of different user, to money Dynamic dispatching that source is carried out and configuration;Operation phase is to use resource to carry out calculating, storing, finally Obtain the process of result.
Disaster information cloud computing method the most according to claim 8, it is characterised in that: institute Method of stating, when realizing different functions, comprises the following steps:
In terms of disaster data storage, the disaster data gathered as user needs magnanimity, long-term , reliably storage or during backup, user terminal (2) is remotely uploaded to data by the Internet Disaster information cloud computing platform (1), the scale according to data and feature are hewed out a sky by platform Between deposit this data;
In terms of disaster data process, when user need to carry out disaster data compare and analyze time, Selected data block to be analyzed on user side software, then chooses geological model and analyzes model, under Reaching computations, disaster information cloud computing platform (1) receives order, according to calculate scale and Required resource is estimated in the time requirement that calculates of user, then transfers corresponding resource in resource pool, Carry out parallel computation, then the quota of each resource during this, can be adjusted according to real-time condition flexibly, Calculating exports analysis result to user terminal (2) after completing, wherein, various geological models and point Analysis model is user's designed, designed, has been loaded by manager, or only open to this user, Or it is open by authorizing other user;
In terms of disaster emulation, when user needs the research carrying out disaster emulation, soft at user side The data block of selected required emulation on part, including real time data and historical data, relates to: the time period, Point category informations such as region is chosen, parameter kind, then choose disaster phantom, assign emulation and refer to Order, disaster information cloud computing platform (1) according to emulation time requirement and data calculate complexity, Scale estimates required resource, then calls the moneys such as CPU, internal memory, storage, network in resource pool Source, carries out parallel computation, after having calculated, simulation result is exported to user;
In terms of disaster vision simulation, when user needs the result intuitive way of disaster emulation When displaying, on user side software, selected vision simulation function, assigns instruction, disaster information Cloud computing platform (1) will call corresponding scene simulation model according to simulation result, carry out what comes into a driver's and imitate Very, picture and acoustic consequences 3-D view are showed.
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Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107256514A (en) * 2017-06-05 2017-10-17 深圳易嘉恩科技有限公司 The method that CaaS plateform systems based on financial cloud realize open book keeping operation business
CN107798827A (en) * 2017-10-24 2018-03-13 延安大学 Landslide early-warning monitoring system and its monitoring method based on Internet of Things
CN108961688A (en) * 2018-07-13 2018-12-07 福建特力惠信息科技股份有限公司 A kind of big data support under Geological Hazards Monitoring and method for early warning
CN109213005A (en) * 2018-11-21 2019-01-15 成都四方伟业软件股份有限公司 A kind of simulation control method and device
CN109389260A (en) * 2017-08-04 2019-02-26 成都万江港利科技股份有限公司 A kind of mountain torrents based on cloud computing are speedily carried out rescue work response tracking system
CN111071481A (en) * 2020-01-02 2020-04-28 北京航天测控技术有限公司 Universal test platform integration method and system
CN111583744A (en) * 2020-04-09 2020-08-25 北京科技大学 Virtual reality-based molten metal operation accident rehearsing method and system

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103217140A (en) * 2012-01-21 2013-07-24 许凯华 Four-system (4S) integrated deformation monitoring system
CN103453936A (en) * 2013-08-28 2013-12-18 兰州大学 Debris flow disaster early monitoring system based on internet of things
CN103514711A (en) * 2013-10-15 2014-01-15 兰州大学 Debris flow disaster early warning system based on wireless sensor network

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103217140A (en) * 2012-01-21 2013-07-24 许凯华 Four-system (4S) integrated deformation monitoring system
CN103453936A (en) * 2013-08-28 2013-12-18 兰州大学 Debris flow disaster early monitoring system based on internet of things
CN103514711A (en) * 2013-10-15 2014-01-15 兰州大学 Debris flow disaster early warning system based on wireless sensor network

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
张广平等: "面向服务的地质灾害预警预报功能库", 《灾害学》 *
杜香刚: "区域公路地质灾害监测预报决策支持系统关键技术研究与实现", 《中国优秀硕士学位论文全文数据库》 *

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107256514A (en) * 2017-06-05 2017-10-17 深圳易嘉恩科技有限公司 The method that CaaS plateform systems based on financial cloud realize open book keeping operation business
CN109389260A (en) * 2017-08-04 2019-02-26 成都万江港利科技股份有限公司 A kind of mountain torrents based on cloud computing are speedily carried out rescue work response tracking system
CN107798827A (en) * 2017-10-24 2018-03-13 延安大学 Landslide early-warning monitoring system and its monitoring method based on Internet of Things
CN108961688A (en) * 2018-07-13 2018-12-07 福建特力惠信息科技股份有限公司 A kind of big data support under Geological Hazards Monitoring and method for early warning
CN109213005A (en) * 2018-11-21 2019-01-15 成都四方伟业软件股份有限公司 A kind of simulation control method and device
CN111071481A (en) * 2020-01-02 2020-04-28 北京航天测控技术有限公司 Universal test platform integration method and system
CN111071481B (en) * 2020-01-02 2021-06-01 北京航天测控技术有限公司 Universal test platform integration method and system
CN111583744A (en) * 2020-04-09 2020-08-25 北京科技大学 Virtual reality-based molten metal operation accident rehearsing method and system
CN111583744B (en) * 2020-04-09 2021-06-18 北京科技大学 Virtual reality-based molten metal operation accident rehearsing method and system

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