CN108281199A - Happen suddenly biohazard incident visualization intelligent decision support platform - Google Patents
Happen suddenly biohazard incident visualization intelligent decision support platform Download PDFInfo
- Publication number
- CN108281199A CN108281199A CN201810161817.5A CN201810161817A CN108281199A CN 108281199 A CN108281199 A CN 108281199A CN 201810161817 A CN201810161817 A CN 201810161817A CN 108281199 A CN108281199 A CN 108281199A
- Authority
- CN
- China
- Prior art keywords
- module
- decision
- support platform
- hazard evaluation
- analogue simulation
- 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
Abstract
A kind of visual intelligent Decision Support Platform of burst biohazard event, including:Supplementary module provides miscellaneous function based on Cesium technologies for platform;Basic data module is used for display base geodata and resource environment data;Geographical environment module, for realizing multiple dimensioned roaming, scene walkthrough and scenario simulation;Biological terrorist module is used for analogue simulation, hazard evaluation, aid decision and the intervening measure of biological terrorist;Biotic intrusion module is used for analogue simulation, hazard evaluation, aid decision and the intervening measure of biotic intrusion;Happen suddenly infectious disease module, for the analogue simulation for the infectious disease that happens suddenly, hazard evaluation, aid decision and intervening measure.The present invention can be cross-platform, a variety of map projection's modes, analyzes data from time and space, is widely used in the prognosis modelling and hazard evaluation of burst biohazard, aid decision personnel's decision.
Description
Technical field
Present document relates to a kind of visual intelligent Decision Support Platform, especially a kind of burst biology based on Cesium technologies
Endanger visual intelligent Decision Support Platform.
Background technology
" anthrax mail " event after the U.S. " 911 " event, indicates that biohazard becomes a reality again, in economy
Under the new situation, biohazard has been not limited to biological warfare, also wraps for globalization, political multipolarization, global climate situation change
Biological terrorist, New infectious disease etc. are included to national security, social stability, economic development, environmental problem and the existence of its people
Harm is brought with health problem.
The SARS virus broken out in 2002 has swept across the whole nation or even the whole world, has seriously affected the stabilization of society, recently
Newest research results from Chinese Academy of Sciences Wuhan virus institute are shown, by researchs confirmation in 5 years, a rhinolophine in Yunnan Province
In kind of groups in contained virus stain, there is the full gene group component for the SARS virus for propagating to the mankind.This is typical prominent
The harm that object hazardous events are brought occurs, bio-safety has been classified as national security by many countries.In biohazard event
After generation, it is very necessary to take quickly and effectively emergency measure and countermeasure, and appropriate measures can make up biohazard event
Caused loss.Nowadays in terms of laboratory biological hazardous accidents disposition, more mature coping mechanism, standard have been formed,
Such as the administrative standard (CWA 15793 of American-European standard committee:2011), iso standard (ISO/WD 35001) etc. is passing on a large scale
It catches an illness in terms of propagation simulation and assessment, forms the application system of a collection of sequencing, such as the life of Carnegie Mellon University of the U.S.
Object war simulation system (BioWar system), the epidemic disease simulation system of Los Alamos National Laboratories of the U.S.
(EpiSimS), the seasonal influenza simulation system (FluTE) of US National general medical science Science Institute.Compared to more external, I
The aggregate level of the country of state also has some gaps with developed country, and the biohazard simulation system research emphasis in China is different,
Data visualization style is single, and system environments service requirement is stringent.
Traditional two-dimension GIS has powerful spatial analysis and two data expression capabilities, but for the complete of three dimensions
Portion's geographic element object all carries out simplifying for equatorial projection and handles, and can completely does not reflect objective world, with the mankind
The raising of cognition and the development of 3-D technology, two-dimension GIS cannot meet needs of the people to three-dimensional cognition.
Invention content
In view of the above-mentioned problems, the object of the present invention is to provide a kind of visualization, easy to operate, display styles are abundant, cross-platform,
Can from the time, spatially analyze data burst biohazard incident visualization intelligent decision support platform, carried for decision-maker
For visual decision tool.
To achieve the above object, the present invention takes following technical scheme:
A kind of visual intelligent Decision Support Platform of burst biohazard event, including:
Supplementary module provides miscellaneous function based on Cesium technologies for platform;
Basic data module is used for display base geodata and resource environment data;
Geographical environment module, for realizing multiple dimensioned roaming, scene walkthrough and scenario simulation;
Biological terrorist module is arranged for the analogue simulation of biological terrorist, hazard evaluation, aid decision and intervention
It applies;
Biotic intrusion module is used for analogue simulation, hazard evaluation, aid decision and the intervening measure of biotic intrusion;
Happen suddenly infectious disease module, for the analogue simulation for the infectious disease that happens suddenly, hazard evaluation, aid decision and intervening measure.
Preferably, the function of the supplementary module include inquiry place, resetting zoom focus, figure layer projection pattern setting and
Map layer selects.
Preferably, the multiple dimensioned roaming of the geographical environment module is for from macroscopically multiple dimensioned viewing scene;Institute
Scene walkthrough is stated for being checked from different scene switchings;The scenario simulation carries out scenario simulation using virtual reality technology.
Preferably, the analogue simulation of the biological terrorist module is used to show that the space-time of biological terrorist to be imitative
True simulation, and show the specifying information of specified place, the hazard evaluation is used to carry out hazard evaluation according to different parameters, described
Aid decision is for providing different measures, aid decision personnel's decision, the intervening measure, for providing different measure to life
Object terror is intervened.
Preferably, the analogue simulation of the biotic intrusion module is used to show the space-time analogue simulation of biotic intrusion,
And show the specifying information of specified place, and the hazard evaluation, the danger for carrying out biotic intrusion according to the geographic element of selection
Evil assessment, the aid decision is for providing different measures, aid decision personnel's decision, the intervening measure, for providing
Different measure intervenes bio-terrorism.
Preferably, the aid decision, including layer management, the biotic intrusion frequency, unmanned plane management and control, habitat information extraction
With mobile phone terminal management and control, the layer management is used to show the data of different figure layers, and the biotic intrusion frequency is for showing biology
The number of invasion, the unmanned plane management and control show that unmanned plane takes for controlling unmanned plane according to setting path simulated flight
The picture and video data come, the habitat information extraction is used to show the range of biotic intrusion and its movable nest, described
Mobile phone terminal management and control is used to carry out inquiry management and control using mobile phone terminal.
Preferably, the biotic intrusion module is for simulating red as fire ant invasion, the geographic element packet in the hazard evaluation
Humidity, the highest temperature, lowest temperature, precipitation and elevation dem when humidity, 3 when including 21.
Preferably, the analogue simulation of the burst infectious disease module includes space-time analysis, space scanning and the frequency point
Analysis,
Preferably, the space-time analysis is used for patient profiles are aobvious in earth figure layer with different colors according to the time
Show, and can show specific specifying information, the space scanning is used for according to population exposure and time threshold input two
A parameter is simulated, and the frequency analysis is for showing frequency data and being analyzed, and the hazard evaluation is for selecting base
Plinth data are shown on map, and select the training sample time to be simulated according to regression tree.
Preferably, the burst infectious disease module is used for bird flu, and the basic data in the hazard evaluation includes that chicken is supported
Grow density, duck cultivation density, average annual precipitation, average annual temperature, digital elevation, the field distribution of live-bird city, city accessibility and night lamp
Light element.
The invention adopts the above technical scheme, which has the following advantages:
1, due to using the framework technology of Cesium in the present invention so that system is supported cross-platform, is supporting HTML5's
Browser can normally show, using Cesium control can smoothness so that data is cut in 2D, 3D, Columbus map projection
It changes, inquires place, reset zoom focus, switch map layer so that the miscellaneous function of system is more abundant;
2, analogue simulation of the present invention under biological terrorist, biotic intrusion, burst infectious disease module, using json numbers
According to, make system analysis data faster, using Cesium Clock controls carry out analogue simulation, can make decision-maker from the time,
The variation that event occurs is seen in space, can also click and check specific specifying information, and decision-maker is facilitated to summarize changing rule;
3, hazard evaluation of the present invention under biotic intrusion module, for red fire ant as research contents, not according to judgement
Same model parameter value, invocation map service are simulated, and wherein parameter value selects for decision-maker.The present invention also carries
For humidity, the highest temperature, lowest temperature, precipitation, elevation dem elements can be chosen when humidity, 3 when 21, decision-maker is facilitated to compare
With reference to progress hazard evaluation;
4, hazard evaluation of the present invention under the infectious disease module that happens suddenly is taken for H7N9 infectious diseases as research contents
Recurrence tree algorithm simulates H7N9 infectious diseases by the training sample time according to selection.The present invention also provides chickens to support
Grow density, duck cultivation density, average annual precipitation, average annual temperature, digital elevation, the field distribution of live-bird city, city accessibility, night lights
Element can be chosen, and decision-maker is facilitated to compare with reference to progress hazard evaluation;
5, the present invention is easy to operate, the intuitive analogue simulation visualized on space-time, the hazard evaluation of more options model parameter,
Hazard evaluation visual result is convenient for decision even if decision-maker is ignorant of mathematical model and can also make hazard evaluation in a short time
Personnel's decision;
6, the present invention includes global geographic factor data, not only can macroscopically check global metadata, moreover it is possible to specifically answer
Real case is used, the present invention can be widely used in the analogue simulation and hazard evaluation of burst biological event harm.
Description of the drawings
Fig. 1 is the system general function module diagram of the present invention;
Fig. 2 is the analogue simulation schematic diagram of biotic intrusion module of the present invention;
Fig. 3 is the hazard evaluation schematic diagram of biotic intrusion module of the present invention;
Fig. 4 is the analogue simulation space-time analysis schematic diagram of present invention burst infectious disease module;
Fig. 5 is the analogue simulation space scanning schematic diagram of present invention burst infectious disease module;
Fig. 6 is the hazard evaluation schematic diagram of present invention burst infectious disease module.
Specific implementation mode
To make the objectives, technical solutions, and advantages of the present invention clearer, below in conjunction with specific embodiment, and reference
Attached drawing, the present invention is described in further detail.
Cesium is a kind of three-dimensional WebGIS Development Frameworks of increasing income of lightweight, has at low cost, support cross-platform,
It supports a variety of format map characteristics, is based on the hardware-accelerated exploitations of WebGL, makes it can be in any support without any plug-in unit
Smooth operation on the browser of HTML5 is very suitable for dynamic data displaying.The present invention using the functional characteristic of Cesium come pair
The biohazard event that happens suddenly carries out analogue simulation and hazard evaluation, and decision-maker is facilitated to carry out decision.
As shown in Figure 1, the visual intelligent Decision Support Platform of the burst biohazard event of the present invention includes:Assist mould
Block, basic data module, geographical environment module, biological terrorist module, biotic intrusion module and burst infectious disease module.
Supplementary module of the present invention provides miscellaneous function based on Cesium technologies for platform, wherein including inquiry place, resetting
Zoom focus, the setting of figure layer projection pattern and map layer selection.
Supplementary module is using Cesium technologies as frame, for supporting cross-platform, is inquired using control built in Cesium
Place, resetting zoom focus shows in web browser 2D, 3D, Columbus map projection, map bottom figure layer as assisting
Function supports the realization of burst biohazard incident visualization intelligent decision support platform function.
The inquiry place is to be needed to input English or Chinese place name in blank box according to user, and system can
The gentle flow in visual angle is transferred to specified position by camera controls, the same place inquiry for supporting geographical coordinate.
The resetting zoom focus function, is to return to current focus in initial focus, the focus of the embodiment of the present invention
Coordinate is in China.
The figure layer projection pattern setting, is the basal core of the present invention, mainly completes 2D, 3D, Columbus projection
The arbitrary gentle smooth switching of mode, provides the visualization guarantee of the present invention, data is made preferably to show decision-maker.
The map layer selection, is the bottom figure layer of the present invention, and default choice Google map of the present invention are ground
Figure layer is managed, while this map layer, Bing map, Map Box map layer services being also provided, keeps decision-maker as needed
It is selected.
The Cesium control situations that 1 present invention of table uses
Basic data module of the present invention includes geo-spatial data and resource environment data.
The geo-spatial data, including landform, landforms, soil environment, urban settlment, the density of population, arid refer to
The geodatas elements such as number (PDSI).Decision-maker can select element, it includes figure that system, which calls data, according to individual demand
Example, is shown in the figure layer of the earth.
The resource environment data, including gross amount of water resources, land resource exploring, land ecotype, precipitation, accumulated temperature
Equal environmental datas element.Decision-maker can select element, it includes legend that system, which calls data, is shown according to individual demand
In the figure layer of the earth.
The method that the Data Elements of 2 geo-spatial data of table and resource environment data are shown
The geographical environment module of the present invention includes multiple dimensioned roaming, scene walkthrough and scene walkthrough.
The multiple dimensioned roaming is used for from multiple dimensioned angle, smooth gentle switching different scenes.
The scene walkthrough switches different scenes using Camera controls on smooth gentle slave map.
The scene walkthrough, using virtual reality (VR) technology, smooth gentle viewing scenario simulation.
The biological terrorist module of the present invention include for the analogue simulation of biological terrorist form, hazard evaluation,
Aid decision and intervening measure.
The analogue simulation, click analogue simulation, system call json data, by the information of biological terrorist from when
Between on spatially visualize.Click specific point, system is by the infobox controls of Cesium by presentation of information such as the coordinates of point
Out.
The hazard evaluation, system provide different parameters, hazard evaluation are carried out to biological terrorist event, on ground
It is shown on figure.
The aid decision, system provide the functions such as unmanned plane scanning, and the route etc. of simulation unmanned plane scanning, is decision
Personnel carry out aid decision.
The intervening measure, system provide decision-maker's intervening measure, are simulated according to the information inputted.
The biotic intrusion module of the present invention includes analogue simulation, hazard evaluation, the aid decision for biotic intrusion form
And intervening measure.
The analogue simulation clicks analogue simulation button system invocation map and services 3D display in earth figure layer, point
Hit broadcast button, system calls json data to show the space-time analogue simulation of biotic intrusion, and clicking each specific point can be with
Show the specifying information that the point is shown.
As shown in Fig. 2, using red fire ant invasion as research contents, analogue simulation is clicked, system invocation map service will be flourishing
Ant invasion distribution is shown in earth figure layer, clicks broadcast button, system called json data, from 2 days to 2017 January in 1991
The red fire ant invasion distribution trend on June 30, in is shown spatially to be visualized from the time.Specific point is clicked, system passes through
The infobox controls of Cesium come out the presentation of information such as the coordinate of point, time, belonging country's title.
The method of 3 invocation map service of table
The hazard evaluation, can according to certain month carry out geographic element selection, including when 21 when humidity, 3 it is wet
Degree, the highest temperature, lowest temperature, precipitation, elevation dem, debugging model parameter include DV0, DV1, DV2, DV3, SM0, SM1, SM2, point
Analog buttons are hit to be simulated.
As shown in figure 3, using red fire ant invasion as research contents, hazard evaluation is clicked, decision-maker can select element, wrap
Humidity, the highest temperature, lowest temperature, precipitation, dem when humidity, 3 when including 21 can sentence according to the selection of time, the present invention according to system
It is disconnected that corresponding arcgis Map Services is called to be shown on map layer, it is compared with reference to decision-making foundation as decision-maker.Also
Corresponding arcgis Map Services can be called to be shown according to model parameter, by judging with the parameter of preference pattern, system
In earth figure layer.
4 red fire ant hazard evaluation model parameter of table and range
Model parameter title | Range |
DV0 | [- 50,24] |
DV1 | [10,30] |
DV2 | [24,45] |
DV3 | [30,50] |
SM0 | [0,0.8] |
SM1 | [0.1,2] |
SM2 | [0.8,4] |
The model by ecoclimate index E I come evaluate a region whether suitable for red fire ant existence, the value range of EI
It is 0~100.EI values are smaller, show the existence of the more unsuitable species in this area;EI values are bigger, the more suitable species in this area
Existence.Ecoclimate index E I is calculated by following formula:
EI=GIA×SI×SX
Wherein GIA- growth indexs, SI- coerce index, and SX- coerces interaction coefficient.
SI=(1-CS/100) × (1-DS/100) × (1-HS/100) × (1-WS/100)
SX=(1-CDX/100) × (1-CWX/100) × (1-HDX/100) × (1-HWX/100)
In above formula, all growth index GIW are all growth indexs;CS, DS, HS, WS respectively refer to cold stress index, and dry stress refers to
Number, heat stress index and wet stress refer to;CDX, CWX, HDX, HWX respectively refer to cold-dry stress index, cold-wet stress index, heat-
Dry stress index and hot-wet coerce index.
Debugging model parameter is larger to the above exponential effect, adjusts the above index by debugging these parameters, and then adjust
Whole EI values.Model parameter meaning is as follows:
DV0:Threshold of development;DV1:Useful lower temperature limits;DV2:Useful upper temperature limits;DV3:Restricted high temperature;
SM0:Restricted minimum humidity;SM1:Suitable for humidity lower limit;SM2:Suitable for top limit of humidity.
The aid decision, including layer management, the biotic intrusion frequency, unmanned plane management and control, habitat information extraction and hand
Generator terminal management and control.
The layer management shows the data of different figure layers.
The biotic intrusion frequency, the number that display biotic intrusion occurs.
The unmanned plane management and control after clicking unmanned plane management and control, shows unmanned plane, and clicking broadcast button unmanned plane can basis
Setting path simulates unmanned plane during flying, clicks the picture that can show that unmanned plane is taken that Loads Image, and clicks load video
It can show the lower data scanned of unmanned plane record.
Habitat information extraction is clicked in the habitat information extraction, and the range of biotic intrusion is identified on map, double-clicks life
Border information extraction shows the movable nest of biology, and amplification picture is shown.
In one embodiment, the range of red fire ant invasion can be identified on map by habitat information extraction, and is shown
The movable nest of red fire ant.
The mobile phone terminal management and control carries out inquiry management and control using mobile phone terminal.
The intervening measure, system carry out intervening measure simulation according to the information inputted.
The burst infectious disease module of the present invention includes analogue simulation, hazard evaluation, aid decision and intervening measure.
The analogue simulation, including space-time analysis, space scanning and frequency analysis.
The space-time analysis, system call json data, by patient profiles' foundation time with different colors in the earth
It is shown in figure layer, clicks the infection situation that broadcast button shows disease from space-time, click the specific specific letter for showing the point
Breath includes year, month, day, province, city, patient age, Gender, occupation etc..
As shown in figure 4, using H7N9 infectious diseases as research contents, analogue simulation is clicked, then click space-time analysis, system is called
Data are included clicking broadcast button, system called json data, from January 4 in 2013 on map according to the time by json data
The H7N9 infectious disease distribution trends in day on May 17th, 2017 are shown spatially to be visualized from the time.Specific point is clicked, is
System is gone out the presentation of information such as the days Time of Day of point, province, city, patient age, patients ' profession by the infobox controls of Cesium
Come.
The space scanning inputs two parameters and is simulated according to population exposure, time threshold.
As shown in figure 5, being system foundation distribution situation, the range of H7N9 infectious diseases is divided according to model parameter,
Wherein model parameter includes that population exposure and time threshold input, and system carries out division mould according to the selection of decision-maker
It is quasi-.
The model parameter and range of 5 H7N9 infectious disease space scannings of table
Model parameter title | Model parameter range |
Population exposure | 10,50 |
Time threshold inputs | 07,28,90 |
Wherein model parameter expression formula is:
Population exposure:HI=Pexp/RfC
Wherein:Pexp indicates that actual exposed regional population or area, RfC indicate regional population's sum or the gross area.
Time threshold:D=max (D1, D2, D3....);
Wherein:D is the maximum period of time of source database acquisition;DiFor the time cycle of source database acquisition.
The frequency analysis, system call json data, show frequency data, are analyzed.
The hazard evaluation can select basic data to be shown on map, can also select training according to regression tree
It in the sample time, is simulated.
As shown in fig. 6, using H7N9 infectious diseases as research contents, hazard evaluation is clicked, decision-maker can select element, wrap
Include chicken cultivation density, duck cultivation density, average annual precipitation, average annual temperature, digital elevation, the field distribution of live-bird city, city accessibility, night
Between light element, decision-maker can select according to individual demand, and system is called corresponding according to selected element
Arcgis Map Services are shown in earth figure layer.It can also be according to tree algorithm be returned, according to training sample time, test specimens
It in the plate time, is simulated.
The training sample time of the regression tree training pattern of 6 H7N9 infectious disease hazard evaluations of table and optional state
The training sample time | Optional state |
2013 | It is optional |
2014 | It is optional |
2015 | It is optional |
2016 | It is optional |
The cardinal principle formula of used enhancing regression tree (BRT) training pattern is as follows:
Wherein each fkIt is a function inside function space F, and F has corresponded to all regression tree's
Set.XiIt is above-mentioned geographical, environment and society & culture's element set,Refer to that the multidimensional data based on i-th of sample utilizes
The numerical value that models fitting obtains, numberical range is [0-1] in the present invention;K is for regression tree in Definition Model
Number, K is positive integer.
The aid decision, system provide the functions such as unmanned plane scanning, and the route etc. of simulation unmanned plane scanning, is decision
Personnel carry out aid decision.
The intervening measure, system provide decision-maker's intervening measure, are simulated according to the information inputted.
Particular embodiments described above has carried out further in detail the purpose of the present invention, technical solution and advantageous effect
Describe in detail bright, it should be understood that the above is only a specific embodiment of the present invention, is not intended to restrict the invention, it is all
Within the spirit and principles in the present invention, any modification, equivalent substitution, improvement and etc. done should be included in the protection of the present invention
Within the scope of.
Claims (10)
1. a kind of visual intelligent Decision Support Platform of burst biohazard event, including:
Supplementary module provides miscellaneous function based on Cesium technologies for platform;
Basic data module is used for display base geodata and resource environment data;
Geographical environment module, for realizing multiple dimensioned roaming, scene walkthrough and scenario simulation;
Biological terrorist module is used for analogue simulation, hazard evaluation, aid decision and the intervening measure of biological terrorist;
Biotic intrusion module is used for analogue simulation, hazard evaluation, aid decision and the intervening measure of biotic intrusion;
Happen suddenly infectious disease module, for the analogue simulation for the infectious disease that happens suddenly, hazard evaluation, aid decision and intervening measure.
2. a kind of visual intelligent Decision Support Platform as described in claim 1, which is characterized in that the work(of the supplementary module
Inquiry place, resetting zoom focus, the setting of figure layer projection pattern and map layer selection can be included.
3. a kind of visual intelligent Decision Support Platform as described in claim 1, which is characterized in that the geographical environment module
The multiple dimensioned roaming for from macroscopically multiple dimensioned viewing scene;The scene walkthrough from different scene switchings for looking into
It sees;The scenario simulation carries out scenario simulation using virtual reality technology.
4. a kind of visual intelligent Decision Support Platform as described in claim 1, which is characterized in that the biological terrorist
The analogue simulation of module is used to show the space-time analogue simulation of biological terrorist, and shows the specific letter of specified place
Breath, the hazard evaluation are used to carry out hazard evaluation according to different parameters, and the aid decision is auxiliary for providing different measures
Decision-maker's decision, the intervening measure is helped to intervene bio-terrorism for providing different measure.
5. a kind of visual intelligent Decision Support Platform as described in claim 1, which is characterized in that the biotic intrusion module
The analogue simulation be used to show the space-time analogue simulation of biotic intrusion, and show the specifying information of specified place, the danger
Evil assessment, the hazard evaluation for carrying out biotic intrusion according to the geographic element of selection, the aid decision is for providing difference
Measure, aid decision personnel's decision, the intervening measure intervenes bio-terrorism for providing different measure.
6. a kind of visual intelligent Decision Support Platform as claimed in claim 5, which is characterized in that the aid decision, packet
Layer management, the biotic intrusion frequency, unmanned plane management and control, habitat information extraction and mobile phone terminal management and control are included, the layer management is used for
Show that the data of different figure layers, the biotic intrusion frequency are used to show that the number of biotic intrusion, the unmanned plane management and control to be used for
Unmanned plane is controlled according to setting path simulated flight, and shows picture and video data that unmanned plane is taken, the habitat
Information extraction is used to show the range of biotic intrusion and its movable nest, and the mobile phone terminal management and control using mobile phone terminal for being looked into
Ask management and control.
7. a kind of visual intelligent Decision Support Platform as claimed in claim 5, which is characterized in that the biotic intrusion module
It is humidity when humidity, the 3 when geographic element in the hazard evaluation includes 21, the highest temperature, minimum for simulating the invasion of red as fire ant
Temperature, precipitation and elevation dem.
8. a kind of visual intelligent Decision Support Platform as described in claim 1, which is characterized in that the burst infectious disease mould
The analogue simulation of block includes space-time analysis, space scanning and frequency analysis, and the hazard evaluation is for selecting basic data
It is shown on map, and selects the training sample time to be simulated according to regression tree.
9. a kind of visual intelligent Decision Support Platform as described in claim 1, which is characterized in that the space-time analysis is used for
Patient profiles' foundation time is shown with different colors in earth figure layer, and can show specific specifying information, it is described
Space scanning is used to input two parameters according to population exposure and time threshold and be simulated, and the frequency analysis is for showing
Show frequency data and is analyzed.
10. a kind of visual intelligent Decision Support Platform as claimed in claim 8, which is characterized in that the burst infectious disease
Module is used for bird flu, and the basic data in the hazard evaluation includes chicken cultivation density, duck cultivation density, average annual precipitation, year
Equal temperature, digital elevation, the field distribution of live-bird city, city accessibility and night lights element.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810161817.5A CN108281199A (en) | 2018-02-27 | 2018-02-27 | Happen suddenly biohazard incident visualization intelligent decision support platform |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810161817.5A CN108281199A (en) | 2018-02-27 | 2018-02-27 | Happen suddenly biohazard incident visualization intelligent decision support platform |
Publications (1)
Publication Number | Publication Date |
---|---|
CN108281199A true CN108281199A (en) | 2018-07-13 |
Family
ID=62808733
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201810161817.5A Pending CN108281199A (en) | 2018-02-27 | 2018-02-27 | Happen suddenly biohazard incident visualization intelligent decision support platform |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN108281199A (en) |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112446569A (en) * | 2019-08-27 | 2021-03-05 | 福建师范大学地理研究所 | Airport bird strike risk assessment and visualization system |
CN112613749A (en) * | 2020-12-24 | 2021-04-06 | 中国检验检疫科学研究院 | Cross-border hidden high-risk factor risk intelligent analysis system |
CN112785893A (en) * | 2021-02-05 | 2021-05-11 | 东南大学 | Virtual simulation system for emergency disposal of infectious disease emergency |
CN112948523A (en) * | 2021-04-07 | 2021-06-11 | 成都鼎安华智慧物联网股份有限公司 | Accident case scene reproduction method based on three-dimensional webgis |
CN113743711A (en) * | 2021-06-28 | 2021-12-03 | 航天科工智能运筹与信息安全研究院(武汉)有限公司 | Epidemic situation response benefit evaluation method and device |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20090089078A1 (en) * | 2007-09-28 | 2009-04-02 | Great-Circle Technologies, Inc. | Bundling of automated work flow |
CN101894353A (en) * | 2010-05-24 | 2010-11-24 | 中国人民解放军军事医学科学院微生物流行病研究所 | Unexpected biological event field hazard evaluation simulation system |
CN102254088A (en) * | 2011-05-25 | 2011-11-23 | 中国人民解放军军事医学科学院微生物流行病研究所 | Biohazard assessment visualization method based on Google map |
CN104766168A (en) * | 2015-03-31 | 2015-07-08 | 东北农业大学 | Earthquake three-dimensional visual platform |
CN106383881A (en) * | 2016-09-13 | 2017-02-08 | 中国电子科技集团公司第三十二研究所 | Navigation secondary development control system based on cross-platform graphic middleware |
CN106683184A (en) * | 2017-01-04 | 2017-05-17 | 朱军 | Mud-rock flow disaster process rapid simulation and visualization analysis method in network environment |
-
2018
- 2018-02-27 CN CN201810161817.5A patent/CN108281199A/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20090089078A1 (en) * | 2007-09-28 | 2009-04-02 | Great-Circle Technologies, Inc. | Bundling of automated work flow |
CN101894353A (en) * | 2010-05-24 | 2010-11-24 | 中国人民解放军军事医学科学院微生物流行病研究所 | Unexpected biological event field hazard evaluation simulation system |
CN102254088A (en) * | 2011-05-25 | 2011-11-23 | 中国人民解放军军事医学科学院微生物流行病研究所 | Biohazard assessment visualization method based on Google map |
CN104766168A (en) * | 2015-03-31 | 2015-07-08 | 东北农业大学 | Earthquake three-dimensional visual platform |
CN106383881A (en) * | 2016-09-13 | 2017-02-08 | 中国电子科技集团公司第三十二研究所 | Navigation secondary development control system based on cross-platform graphic middleware |
CN106683184A (en) * | 2017-01-04 | 2017-05-17 | 朱军 | Mud-rock flow disaster process rapid simulation and visualization analysis method in network environment |
Non-Patent Citations (4)
Title |
---|
朱栩逸: ""基于Cesium的三维WebGIs研究及开发"", 《信息化工业》 * |
江东: "地理信息技术提升突发生物危害事件评估决策能力", 《地球信息科学学报》 * |
祖正虎 等: "突发传染病大规模传播模拟系统简析", 《军事医学》 * |
谢知: ""长沙市甲型H1N1流感病程及其影响因素分类回归树分析"", 《现代预防医学》 * |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112446569A (en) * | 2019-08-27 | 2021-03-05 | 福建师范大学地理研究所 | Airport bird strike risk assessment and visualization system |
CN112613749A (en) * | 2020-12-24 | 2021-04-06 | 中国检验检疫科学研究院 | Cross-border hidden high-risk factor risk intelligent analysis system |
CN112785893A (en) * | 2021-02-05 | 2021-05-11 | 东南大学 | Virtual simulation system for emergency disposal of infectious disease emergency |
CN112948523A (en) * | 2021-04-07 | 2021-06-11 | 成都鼎安华智慧物联网股份有限公司 | Accident case scene reproduction method based on three-dimensional webgis |
CN113743711A (en) * | 2021-06-28 | 2021-12-03 | 航天科工智能运筹与信息安全研究院(武汉)有限公司 | Epidemic situation response benefit evaluation method and device |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN108281199A (en) | Happen suddenly biohazard incident visualization intelligent decision support platform | |
US10255726B2 (en) | Systems and methods for augmented reality representations of networks | |
Hämmerle et al. | Comparison of models calculating the sky view factor used for urban climate investigations | |
JP5044817B2 (en) | Image processing method and apparatus for constructing virtual space | |
JP4963105B2 (en) | Method and apparatus for storing images | |
Fink et al. | Integrated Parametric Urban Design in Grasshopper/Rhinoceros 3D | |
CN112230759B (en) | Dynamic interactive urban viewing corridor identification and planning simulation method | |
Brunbjerg et al. | Can patterns of urban biodiversity be predicted using simple measures of green infrastructure? | |
CN109697316A (en) | Urban design digitlization, virtual interactive interface system | |
Najafi et al. | A user-centred virtual city information model for inclusive community design: State-of-art | |
CN114241143A (en) | Smart city planning platform and method based on multi-dimensional data and three-dimensional modeling | |
CN113115015A (en) | Multi-source information fusion visualization method and system | |
Chen et al. | Integrated land use and urban function impacts on land surface temperature: implications on urban heat mitigation in Berlin with eight-type spaces | |
Song et al. | A dynamic model for population mapping: A methodology integrating a Monte Carlo simulation with vegetation-adjusted night-time light images | |
Yu et al. | A simple but actionable metric for assessing inequity in resident greenspace exposure | |
CA2525719A1 (en) | Systems and methods for presenting descriptions of conditions with respect to a surface | |
CN115017348A (en) | Method and device for realizing grid data graph | |
Lima et al. | A framework for modeling and simulating Aedes aegypti and dengue fever dynamics | |
Krunić et al. | Modelling the spatial distribution of Vojvodina's population by using dasymetric method | |
Böhm et al. | Landscape ecology, biogeography, and GIS methods | |
Mao et al. | Population spatialization at building scale based on residential population index—A case study of Qingdao city | |
da Rocha¹ et al. | Studies of volumetric relation between vegetation and buildings using LIDAR data and NDVI to propose urban parameters | |
Wang et al. | Mountainous village relocation planning with 3D GIS virtual imaging space model and neural network | |
Zhang et al. | Voxel-based Urban Vegetation Volume Analysis with LiDAR Point Cloud | |
Praschl et al. | Utilization of geographic data for the creation of occlusion models in the context of mixed reality applications |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | 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: 20180713 |