CN104616093B - A kind of seismic disaster relief command dispatching system and method - Google Patents
A kind of seismic disaster relief command dispatching system and method Download PDFInfo
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Abstract
A kind of seismic disaster relief command dispatching system and method, the system are made up of charge center subsystem, remote sensing satellite subsystem, unmanned plane subsystem, public security people information subsystem, weather information subsystem, medical information subsystem, relief goods Storage Management Subsystem and input interface;By the analysis of disaster and disaster assistance information to above-mentioned each systematic collection, the hierarchical model of seismic disaster relief can be set up using analytic hierarchy process (AHP);Simultaneously according to conventional seismic disaster relief actual conditions, respective disaster assistance prediction scheme and analytic hierarchy process (AHP) disaster assistance parameter database are set up.When actual seismic disaster occurs, current disaster scenarios it is analyzed using analytic hierarchy process (AHP), and determines disaster assistance scheme rapidly.System and method designed by the present invention is more suitable for the rapid command scheduling collected relevant information and automatically select Rescue Plan progress disaster assistance when earthquake occurs.
Description
Technical field
The present invention relates to a kind of seismic disaster relief command dispatching system and method.
Background technology
China is the multiple country of earthquake, because southwest territory is located in the boundary of Eurasian plate and Indian Ocean plate
Place, this area endures earthquake and its infringement of secondary disaster to the fullest extent in recent years, and this causes huge danger to the country and people's production and living
Evil.When an earthquake occurs, relevant departments need to be responded rapidly according to the condition of a disaster, collect disaster area information, integrate available
Resource, and make within the most short time scientific and effective disaster assistance decision-making and scheme.At present, each medical bodies of China are being entered
There is problems with during row seismic disaster relief:Firstly, since being influenceed by eaerthquake damage, to the information of the disaster-stricken information in disaster area
Collect and there is bigger difficulty with analysis so that when realizing specific Disaster relief countermeasure in the presence of certain blindness.Chinese patent
GIS-Geographic Information System and audio frequency and video are used in " earthquake emergency interlinked command dispatches integrated system " (publication number CN202736112U)
Equipment realizes the centralized direction scheduling to seismic disaster relief, but remote sensing is not comprehensively utilized in the system and data of taking photo by plane are entered
The collection and analysis of the disaster-stricken information in row disaster area, it is impossible to which the actual disaster-stricken situation to disaster area effectively assess and analysis.Its
Secondary, disaster assistance scheme is not targeted enough, and the guidance to disaster assistance is more obscured, and qualitative description is more than quantitative analysis, because
This is when actual prediction scheme is performed in the presence of certain difficulty.Chinese patent " earthquake damage assessment system " (publication number
CN102750456A the distribution in) mainly for earthquake region personnel establishes two-dimensional grid model, but the definition of each index of the system
More abstract, defining for value is more difficult, therefore more difficult operation in actual applications.Chinese patent " the distribution of disaster relief resource
According to the corresponding disaster-stricken resource of disaster-stricken unit, and the disaster relief unit pair in method and device " (publication number CN103150627A)
Answer can disaster relief resource, according to it is resource matched degree to store in the unit information can disaster relief resource be allocated, this method
Using equally existing the problem of model parameter defines abstract difficult.
The content of the invention
The technical problems to be solved by the invention are to provide a kind of faster seismic disaster relief command scheduling of processing speed
System and method, can comprehensively utilize remote sensing, technological means of taking photo by plane, in combination with the disaster area provided in specialized network and database
And the information such as all kinds of personnel in disaster area periphery, weather, medical treatment, realize the quick response of disaster assistance command scheduling.
The present invention realizes following technical scheme:
A kind of seismic disaster relief command dispatching system, by charge center subsystem, remote sensing satellite subsystem, unmanned loom
System, public security people information subsystem, weather information subsystem, medical information subsystem, relief goods Storage Management Subsystem and
Input interface is constituted, wherein:
Remote sensing satellite subsystem is used to obtain the remote sensing images of earthquake-stricken area and remote sensing images is sent into charge into center
System;
Unmanned plane subsystem is used for the Aerial Images for obtaining earthquake-stricken area, and Aerial Images are sent to charge center subsystem
System;
Public security people information subsystem is used for the people information for recording each department, can accuse the request of center subsystem
Inquiry of the lower realization to earthquake-stricken area people information, and the people information of inquiry is sent to charge center subsystem;
Weather information subsystem is used for the weather information for recording each department, can be real in the case where accusing the request of center subsystem
Now to the inquiry of earthquake-stricken area weather information, and the weather information of inquiry is sent to charge center subsystem;
Medical information subsystem is used for the medical information for recording each department, can be real in the case where accusing the request of center subsystem
Now to the inquiry of earthquake-stricken area medical information, and the medical information of inquiry is sent to charge center subsystem;
Relief goods Storage Management Subsystem is used to record each department relief goods reserve status, can accuse center subsystem
Request under realize the inquiry to relief goods reserve status, and the relief goods reserve status of inquiry is sent to charge center
Subsystem;
Input interface is used for the earthquake magnitude for inputting earthquake-stricken area with degree of splitting, using vehicles quantity and using traffic work
The ability to work of tool;
Accuse that center subsystem includes analytic hierarchy process (AHP) disaster assistance parameter database, the analytic hierarchy process (AHP) disaster assistance
Parameter database includes the corresponding index weights of every kind of typical earthquake disaster and corresponding disaster assistance prediction scheme;Charge center subsystem
The remote sensing images exported according to remote sensing satellite subsystem of uniting carry out the visualization display and the change in disaster area of remote sensing geography information
Change detection;The Aerial Images exported according to unmanned plane subsystem carry out the showing of unmanned plane image and video data, nobody
The display of machine flight path, calculating earth's surface building damage degree, the means of transportation of earthquake-stricken area can utilize degree and traffic auxiliary facility can
Producing level is simultaneously shown;By inquiring about public security people information subsystem and to the people information progress analysis acquisition reality of inquiry
The corresponding evaluation index of demographic factor of border earthquake-stricken area is simultaneously shown;By inquiring about weather information subsystem and to inquiry
Weather information carries out analysis and obtains the corresponding evaluation index of weather conditions in actual seismic disaster area and shown;By inquiring about doctor
Treat information subsystem and the corresponding assessment of epidemic situation factor to the medical information progress analysis acquisition actual seismic disaster area of inquiry refers to
Mark and shown;The traffic capacity for obtaining actual seismic disaster area by input interface is corresponding using vehicles number
Amount and the ability to work using the vehicles are simultaneously shown;The Disaster degree in actual seismic disaster area is obtained by input interface
Corresponding earthquake magnitude and degree of splitting simultaneously are shown;By inquiring about relief goods Storage Management Subsystem and to the relief goods deposit feelings of inquiry
Condition carries out analysis and obtains the corresponding evaluation index of disaster relief supplies reserve status in actual seismic disaster area and shown;Charge center
Subsystem determines the weight of each evaluation index in earthquake-stricken area using analytic hierarchy process (AHP) method;Accuse that center subsystem is calculated actual
The weight of each evaluation index in earthquake-stricken area is corresponding with each typical earthquake disaster in analytic hierarchy process (AHP) disaster assistance parameter database
Each evaluation index weight similarity degree, and the disaster chosen corresponding to the maximum typical earthquake disaster of similarity degree rescues
Prediction scheme is helped as the disaster assistance embodiment in actual seismic disaster area.
The method being scheduled using above-mentioned seismic disaster relief command dispatching system, it is characterised in that realize step such as
Under:
(1) the analytic hierarchy process (AHP) disaster assistance parameter database of each typical earthquake disaster is set up;The analytic hierarchy process (AHP) calamity
Evil rescue database includes the corresponding index weights of every kind of typical earthquake disaster and corresponding disaster assistance prediction scheme;
The determination method of the corresponding index weights of each typical earthquake disaster is as follows:
Respectively for the demographic factor in disaster area, weather conditions, epidemic situation factor, Disaster degree, traffic capacity with
And evaluation index is collected in disaster relief supplies reserve status;The size of population of the corresponding evaluation index of demographic factor including disaster area,
The casualties situation that the density of population, disadvantaged group's population ratio, population quality and disaster are caused;Weather conditions are corresponding to be assessed
Index includes gas epidemic disaster, wind-force and the fine situation of weather in disaster area;The corresponding evaluation index of epidemic situation factor includes disaster-stricken
Harmfulness, infectiousness, treatment pressing degree and the range of scatter of regional epidemic situation;The corresponding evaluation index of Disaster degree includes disaster-stricken
Earthquake magnitude, degree of splitting and the earth's surface building damage degree in area;The corresponding evaluation index of traffic capacity includes the traffic in disaster area
Facility can utilize degree, using vehicles quantity and the work using the vehicles using degree, traffic auxiliary facility
Make ability;The corresponding evaluation index of disaster relief supplies reserve status includes the relief goods stock on disaster area periphery, disaster relief supplies
Product quality, disaster relief supplies and disaster relief demand matching degree and disaster relief supplies distribution;
The weight of each evaluation index is determined using analytic hierarchy process (AHP), and works out corresponding disaster assistance prediction scheme;
(2) when actual seismic disaster occurs, by inquiring about public security people information subsystem and to the people information of inquiry
Carry out the corresponding evaluation index of demographic factor that analysis obtains actual seismic disaster area;By inquiring about weather information subsystem and to looking into
The weather information of inquiry carries out the corresponding evaluation index of weather conditions that analysis obtains actual seismic disaster area;By inquiring about medical information
Subsystem simultaneously carries out the corresponding evaluation index of epidemic situation factor that analysis obtains actual seismic disaster area to the medical information of inquiry;Pass through
Input interface obtains the corresponding earthquake magnitude of Disaster degree and degree of splitting in actual seismic disaster area;Accuse center subsystem according to unmanned loom
The image of system output obtains the corresponding earth's surface building damage degree of Disaster degree in actual seismic disaster area;According to unmanned plane subsystem
The corresponding means of transportation of traffic capacity in the image acquisition actual seismic disaster area of output can be matched somebody with somebody using degree and traffic to be arranged
Apply using degree, the traffic capacity for obtaining actual seismic disaster area by input interface is corresponding using vehicles number
Measure and using the ability to work of the vehicles;By inquiring about relief goods Storage Management Subsystem and to the relief goods deposit of inquiry
Situation carries out the corresponding evaluation index of disaster relief supplies reserve status that analysis obtains actual seismic disaster area;Accuse that center subsystem is adopted
The weight of each evaluation index in actual seismic disaster area is determined with analytic hierarchy process (AHP) method;
(3) accuse that the weight of the center subsystem calculating each evaluation index in actual seismic disaster area is rescued with analytic hierarchy process (AHP) disaster
The similarity degree of the weight of the corresponding each evaluation index of each typical earthquake disaster in parameter database is helped, and chooses similarity degree
Disaster assistance prediction scheme corresponding to maximum typical earthquake disaster as actual seismic disaster area disaster assistance embodiment.
The present invention compared with prior art, has the advantages that:
(1) remote sensing of system design charge center subsystem synthetical collection designed by the present invention, take photo by plane, and all kinds of nets
The database information of network information system, results in more comprehensive disaster area disaster relief situation information, is easy to disaster area extraneous comprehensively
Understanding disaster actual destructiveness so that the formulation of follow-up disaster relief scheme and command scheduling method in detail is possibly realized.
(2) present invention devises a kind of formulating method for the seismic disaster relief scheme that use Hierarchy Analysis Method is calculated,
Each factor to influence seismic disaster relief that this method is capable of quantification is estimated and calculated, with to disaster area disaster-stricken situation
The characteristics of describing accurate with disaster relief scheme;With other system evaluations compared with the technology of analysis, analytic hierarchy process (AHP) need to only be used and commented
The relative importance two-by-two of valency element provides the description of observed each element, has the advantages that processing speed is fast.
(3) present invention is when carrying out the calculating of practical problem using analytic hierarchy process (AHP), and the determination of each factor weight is used
The automatic calculating method of quantification is determined, and influence of the subjective factor to final evaluation result is overcome to a certain extent,
Have the advantages that calculating speed is fast, effectively shorten seismic disaster relief prediction scheme and determine the time.
Brief description of the drawings
Fig. 1 is the composition frame chart of present system;
Fig. 2 is the flow chart of the command scheduling method of the present invention;
Fig. 3 is hierarchical model modeling method schematic diagram of the present invention.
Embodiment
As shown in figure 1, the seismic disaster relief command dispatching system of the present invention is by charge center subsystem, remote sensing satellite
System, unmanned plane subsystem, public security people information subsystem, weather information subsystem, medical information subsystem, relief goods storehouse
Deposit subsystem, and input interface composition.
Remote sensing satellite subsystem is used to obtain the remote sensing images of earthquake-stricken area and remote sensing images is sent into charge into center
System.Remote sensing satellite subsystem is made up of earth remote sensing satellite with ground remote sensing view data reception processing terminal.The remote sensing
The image of satellite can be visible ray, infrared, or the collection of microwave remote sensing imaging satellite image, or a variety of satellite images close
Into imaging results.Remote sensing satellite gathers the earth's surface that area easily occurs for earthquake before earthquake occurs according to the running track of its own
View data, and carry out the splicing and reconstruction of this area's earth surface image;And when earthquake occurs, become rail according to actual needs and adopt
Collect the view data that area occurs for (substar) earthquake;Ground remote sensing view data reception processing terminal can be realized to be gathered to satellite
The noise reduction of view data, enhancing, and other visual display processings.Remote sensing satellite subsystem uses universal network communication agreement
With accusing that center subsystem enters the communication and access of line interface.
Unmanned plane subsystem is used for the Aerial Images for obtaining earthquake-stricken area, and Aerial Images are sent to charge center subsystem
System.Unmanned plane subsystem is whole by fixed-wing or multi-rotor unmanned aerial vehicle, ground control and the data receiver for being suitable for flight near the ground
End composition.The flying height of unmanned plane can be between 20 meters to 500 meters, and the payload carried on unmanned plane includes two certainly
By degree head camera, GPS device.GPS device can be using gps system or big-dipper satellite positioning system
The coordinate information that system is provided.The coordinate location method of unmanned plane during flying flight path can be using gps satellite or real using big-dipper satellite
Existing position positioning.
Public security people information subsystem is used for the people information for recording each department, can accuse the request of center subsystem
Inquiry of the lower realization to earthquake-stricken area people information, and the people information of inquiry is sent to charge center subsystem.Public security people
The people information net and its underlying database that mouth information subsystem is set up by the Ministry of Public Security are constituted, and earthquake-stricken area is recorded in the system
People information.
Weather information subsystem is used for the weather information for recording each department, can be real in the case where accusing the request of center subsystem
Now to the inquiry of earthquake-stricken area weather information, and the weather information of inquiry is sent to charge center subsystem.Weather information
The weather forecast net and its underlying database that system is set up by meteorological department are constituted.
Medical information subsystem is used for the medical information for recording each department, can be real in the case where accusing the request of center subsystem
Now to the inquiry of earthquake-stricken area medical information, and the medical information of inquiry is sent to charge center subsystem.Medical information
The medical information net and its underlying database that system is set up by disaster-stricken surrounding area medical department are constituted, and record each in the system
Class medical equipment, medicine, medical aid personal information.
Relief goods Storage Management Subsystem is used to record each department relief goods reserve status, can accuse center subsystem
Request under realize the inquiry to relief goods reserve status, and the relief goods reserve status of inquiry is sent to charge center
Subsystem.
Accuse that center subsystem includes analytic hierarchy process (AHP) disaster assistance parameter database, the analytic hierarchy process (AHP) disaster assistance
Parameter database includes the corresponding index weights of every kind of typical earthquake disaster and corresponding disaster assistance prediction scheme;Charge center subsystem
The remote sensing images exported according to remote sensing satellite subsystem of uniting carry out the visualization display and the change in disaster area of remote sensing geography information
Change detection;The Aerial Images exported according to unmanned plane subsystem carry out the showing of unmanned plane image and video data, nobody
The display of machine flight path, calculating earth's surface building damage degree, the means of transportation of earthquake-stricken area can utilize degree and traffic auxiliary facility can
Producing level is simultaneously shown;By inquiring about public security people information subsystem and to the people information progress analysis acquisition reality of inquiry
The corresponding evaluation index of demographic factor of border earthquake-stricken area is simultaneously shown;By inquiring about weather information subsystem and to inquiry
Weather information carries out analysis and obtains the corresponding evaluation index of weather conditions in actual seismic disaster area and shown;By inquiring about doctor
Treat information subsystem and the corresponding assessment of epidemic situation factor to the medical information progress analysis acquisition actual seismic disaster area of inquiry refers to
Mark and shown;The traffic capacity for obtaining actual seismic disaster area by input interface is corresponding using vehicles number
Amount and the ability to work using the vehicles are simultaneously shown;The Disaster degree in actual seismic disaster area is obtained by input interface
Corresponding earthquake magnitude and degree of splitting simultaneously are shown;By inquiring about relief goods Storage Management Subsystem and to the relief goods deposit feelings of inquiry
Condition carries out analysis and obtains the corresponding evaluation index of disaster relief supplies reserve status in actual seismic disaster area and shown;Charge center
Subsystem determines the weight of each evaluation index in earthquake-stricken area using analytic hierarchy process (AHP) method;Accuse that center subsystem is calculated actual
The weight of each evaluation index in earthquake-stricken area is corresponding with each typical earthquake disaster in analytic hierarchy process (AHP) disaster assistance parameter database
Each evaluation index weight similarity degree, and the disaster chosen corresponding to the maximum typical earthquake disaster of similarity degree rescues
Prediction scheme is helped as the disaster assistance embodiment in actual seismic disaster area.
Accuse that center subsystem is made up of four high-performance computers and a large-screen display;The master of high-performance computer
Frequency is 3.2GHz, inside saves as 4G;First computer and remote sensing satellite subsystem, unmanned plane subsystem in four high-performance computers
System is connected, and is responsible for display remote sensing geographical information visualization result, and intercut taking photo by plane for specific area according to geographic coordinate information
Image and video data;Second computer is responsible for and public security people information subsystem, weather information subsystem, medical information
System and material storage subsystem are connected, and realize foundation and the access of data to each subsystem data communication link, together
Shi Shixian is supported the data of First computer;Oracle business databases are installed on the 3rd computer, realized to all kinds of
The storage of disaster and rescue data and basic data analysis;4th computer is realized to first three computer important foundation number
According to and system backup, in case system break down and paralyse when recovered and repaired.
As shown in Fig. 2 a kind of seismic disaster relief command scheduling method of the present invention, it is detailed to realize that step is as follows:
(1) the analytic hierarchy process (AHP) disaster assistance parameter database of each typical earthquake disaster is set up;The analytic hierarchy process (AHP) calamity
Evil rescue database includes the corresponding index weights of every kind of typical earthquake disaster and corresponding disaster assistance prediction scheme;
The determination method of the corresponding index weights of each typical earthquake disaster is as follows:
(1) respectively for the population B1 in disaster area, weather B2, epidemic situation B3, Disaster degree B4, traffic capacity B5 with
And disaster relief supplies reserve status B6 6 class assessment factors, collect the evaluation index of each factor.
A) for demographic factor B1, the size of population C1, density of population C2, disadvantaged group's population ratio in disaster area are collected
Casualties situation C5 several respects evaluation indexes that C3, population quality C4, disaster are caused.Each evaluation index is according to descriptive grade.
In These parameters, the information that size of population C1, density of population C2 can be provided according to local public security department is directly carried out
Statistics;Disadvantaged group refer to the elderly, children, pregnant woman, the disabled in crowd, and the population ratio C3 of disadvantaged group is used
The total quantity of above-mentioned crowd and the total population quantity of this area are done ratio and estimated, a kind of C1, C2 are provided respectively in table 1,2,3
With the description method of C3 grades;Population quality C4 is to be entered according to the crime rate and schooling of local population by mode in table 4
Row descriptive grade.In crime rate and two indexs of schooling, pay the utmost attention to crime rate index and carry out commenting for population quality
Estimate.The casualties situation C5 that disaster is caused can carry out descriptive grade by the method provided in table 5.
The size of population descriptive grade method of table 1
Sequence number | Size of population C1 | Descriptive grade |
1 | Less than 500000 | One-level |
2 | Between 50 ten thousand to 100 ten thousand | Two grades |
3 | Between 100 ten thousand to 300 ten thousand | Three-level |
4 | Between 300 ten thousand to 1,000 ten thousand | Level Four |
5 | More than 10000000 | Pyatyi |
The density of population descriptive grade method of table 2
Sequence number | Density of population C2 | Descriptive grade |
1 | Every square kilometre is less than 50 people | One-level |
2 | Every square kilometre is more than 50 people and is less than 300 people | Two grades |
3 | Every square kilometre is more than 300 people and is less than 500 people | Three-level |
4 | Every square kilometre is more than 500 people and is less than 1000 people | Level Four |
5 | Every square kilometre is more than 1000 people | Pyatyi |
The disadvantaged group's population proportion grades of table 3 describe method
Sequence number | Disadvantaged group population ratio C3 | Descriptive grade |
1 | The ratio for accounting for total number of people is less than 5% | One-level |
2 | The ratio for accounting for total number of people is less than 10% higher than 5% | Two grades |
3 | The ratio for accounting for total number of people is less than 30% higher than 10% | Three-level |
4 | The ratio for accounting for total number of people is less than 50% higher than 30% | Level Four |
5 | The ratio for accounting for total number of people is more than 50% | Pyatyi |
The descriptive grade method of the population quality of table 4
The casualties situation descriptive grade method that the disaster of table 5 is caused
B) for weather conditions B2, the fine situation C9 of temperature C6, humidity C7, wind-force C8, weather for collecting disaster area is several
Individual evaluation index.Each evaluation index is described according to grade.
In These parameters, the data that temperature C6, humidity C7, wind-force C8 indexs can be provided by meteorological department are directly obtained,
C6, C7, C8 a kind of rank division method are sets forth in table 6,7,8;The fine situation C9 of weather can be divided into 5 grades, be classified feelings
Condition and corresponding specific weather are as shown in table 9.
A kind of temperature descriptive grade method of table 6
Sequence number | Temperature C6 | Descriptive grade |
1 | Less than 0 DEG C | One-level |
2 | 0 DEG C~23 DEG C | Two grades |
3 | 23 DEG C~33 DEG C | Three-level |
4 | 33 DEG C~40 DEG C | Level Four |
5 | More than 40 DEG C | Pyatyi |
A kind of humidity level of table 7 describes method
Sequence number | Humidity C7 | Descriptive grade |
1 | Relative humidity is less than 20% | One-level |
2 | Relative humidity is more than 20% and is less than 40% | Two grades |
3 | Relative humidity is more than 40% and is less than 50% | Three-level |
4 | Relative humidity is more than 50% and is less than 70% | Level Four |
5 | Relative humidity is more than 70% | Pyatyi |
A kind of wind scale of table 8 describes method
The fine situation classification of the weather of table 9
Sequence number | Weather conditions C9 | Descriptive grade |
1 | Fine day, visibility is high | One-level |
2 | Light rain or slight snow or mist or haze sky, visibility moderate | Two grades |
3 | Moderate rain or moderate snow or big greasy weather, visibility is poor | Three-level |
4 | Heavy rain or heavy snow or hail or sand and dust, poor visibility | Level Four |
5 | Heavy rain or severe snow or serious hail or sandstorm, visibility extreme difference | Pyatyi |
C) for epidemic situation factor B3, the harmfulness C10, infectiousness C11, treatment pressing degree of disaster area epidemic situation are collected
C12, the several evaluation indexes of range of scatter C13.Each evaluation index is described according to grade.
In These parameters, epidemic situation harmfulness C10 refer to the angle from medical consultations judge epidemic situation treat degree with
And to the extent of injury of health, generally can be divided into one-level (slight), two grades (slighter), three-level (general), level Four (sternly
Again), five grades of Pyatyi (very serious);The infectiousness C11 of epidemic situation refers to the angle from medical consultations to judge that epidemic situation is propagated
Speed and complexity, its be classified situation it is similar with C10;The treatment pressing degree C12 of epidemic situation refers to from the angle of medical consultations
Treatment emergency degree during judging that epidemic situation causes the serious or permanent damage of human body is spent, it is similar with C10 that it is classified situation;Epidemic disease
Feelings range of scatter C13 refers to the quantity in the quantity and area that the crowd that epidemic situation disease has infected is judged from the angle of medical consultations,
It is similar with C10 that it is classified situation, it is preferable that can be divided into Pyatyi herein, its calculation is exactly the quantity with the crowd of having caught
Divided by the total crowd's quantity in this area, and the size that threshold value is compared is divided according to final ratio and Pyatyi, to carry out defining for grade.
Specific threshold value division methods are relevant with the epidemic situation situation of given area history, are no longer described in detail herein.
The epidemic situation harmfulness table of table 10
D) for Disaster degree B4, earthquake magnitude C14, degree of splitting C15, earth's surface building damage the degree C16 for collecting disaster area are several
Evaluation index.The evaluation index is described according to grade.
In These parameters, earthquake magnitude C14 and degree of splitting C15 can be obtained by special seismic survey equipment direct measurement;Earthquake magnitude C14's
The specific such as table 11 of descriptive grade, earthquake intensity C15 descriptive grade is similar with earthquake magnitude C14, is no longer discussed in detail herein.Earth's surface building is damaged
The patent of Application No. 201410390115.6 that the calculating for degree of ruining is applied according to the applicant is " a kind of based on unmanned plane
The method introduced in earthquake disaster damage degree appraisal procedure " is estimated calculating and obtained.Preferably, herein can building using Pyatyi
Build the measurement that damage degree appraisal procedure carries out damage degree.
E) for traffic capacity B5, degree C17, traffic auxiliary facility can be utilized by collecting the means of transportation in disaster area
Using degree C18, using vehicles quantity C19, using the several evaluation indexes of ability to work C20 of the vehicles.
The evaluation index is described according to grade.
In These parameters, means of transportation can refer to the highway foundation equipment such as road, bridge, tunnel in calamity using degree C17
The degree do not destroyed in evil, generally can be divided into 5 grades of assessments, rank division method is similar with C10;Traffic auxiliary facility can
Producing level C18 refers to the degree that gas station, road maintenance and maintenance prevention are not destroyed in disaster, and it assesses general
Also 5 grades can be divided into, rank division method is similar with C10;Refer to that all kinds of disasters that can be used for are rescued using vehicles quantity C19
The quantity of the walking-replacing tools such as the vehicle helped;Refer to can be used for disaster assistance vehicle using the ability to work C20 of the vehicles
Carrying capacity, travel speed and traveling maximum distance, generally can be divided into 5 grades of assessments, descriptive grade is sent out according to Regional Economic
The degree of exhibition be divided into it is excellent, good, in, poor, poor 5 grades.
F) for disaster relief supplies reserve status B6, relief goods stock C21, the disaster relief supplies production on disaster area periphery are collected
Quality C22, disaster relief supplies and disaster relief demand matching degree C23, the disaster relief supplies distribution several evaluation indexes of C24.
In These parameters, disaster relief supplies stock C21 refers to the stockpile number of all kinds of disaster relief supplies;Disaster relief supplies product quality
C22 refers to quality (including shelf-life, the effect of food and medicine, the reliability of the product etc.) height of all kinds of disaster relief supplies, typically
5 grades can be divided into, rank division method is similar with C20;Disaster relief supplies are to refer to rescuing for offer with disaster relief demand matching degree C23
Calamity goods and materials are badly in need of the matching degree of disaster relief supplies with disaster area, generally can be divided into 5 grades, rank division method is similar with C20;Disaster relief thing
Money distribution C24 refers to distance and locus distribution of all kinds of disaster relief supplies away from disaster area distance, generally can be divided into 5 grades, grade is drawn
Divide method similar with C20.
Finally, as shown in Figure 3, the hierarchical model method schematic diagram of above-mentioned seismic disaster relief is given.
(2) weight of each evaluation index is determined using analytic hierarchy process (AHP), and works out corresponding disaster assistance prediction scheme.
Analytic hierarchy process (AHP) is existing method, when carrying out the calculating of hierarchical model weight using Hierarchy Analysis Method, typically
Need to define the important sexual intercourse between each evaluation index.Preferably, the present invention is important using each factor of 1-9 Scale Methods progress
Marking between sexual intercourse.
By taking Disaster degree B4 as an example, earthquake magnitude C14 and both earth's surface building damage degree C16 scales are carried out using 1-9 scaling laws
The description of relation.Given in table 11 and determining for earth's surface building damage degree is given in the scope and its description method of earthquake magnitude, table 12
The implication of earthquake magnitude and the 1-9 scaling laws of house damage degree is given in right way of conduct method, table 13.The content in table 13, the present invention
Designed method employs the technology of quantitative description, realizes the marking of each weight parameter of Analytic Hierarchy Process Model, effective gram
Influence of the subjective factor to Hierarchy Analysis Method result of calculation is taken.
The earthquake magnitude scope of table 11 and description
Sequence number | Earthquake magnitude scope | Seismic description | Descriptive grade |
1 | Less than 3 grades | Weak shock | One-level |
2 | More than or equal to 3 grades, less than 4.5 grades | Felt earthquake | Two grades |
3 | More than 4.5 grades, less than 6 grades | Middle macroseism | Three-level |
4 | More than 6 grades, less than 8 grades | Macroseism | Level Four |
5 | More than 8 grades | Giant Bullous | Pyatyi |
The earth's surface of table 12 building damage degree defines method
Sequence number | Damage situation is described | Descriptive grade |
1 | Crackle occurs for surface structures, but does not cave in | One-level |
2 | Severe crack occurs for surface structures, but does not cave in | Two grades |
3 | Surface structures occurs part and caved in, but occurs major structural damage | Three-level |
4 | Surface structures caves in, but structure is generation gross distortion | Level Four |
5 | Surface structures caves in completely, and comminuted destruction occurs for building structure | Pyatyi |
The 1-9 scaling law implications of a kind of earthquake magnitude of table 13 and house damage degree
Might as well set in analytic hierarchy process (AHP) disaster assistance cdr database has M analytic hierarchy process (AHP) layer
Secondary model parameter, the index weights of each typical earthquake disaster are Further according to each imagination
Typical earthquake disaster, set up out the disaster assistance prediction scheme corresponding to above-mentioned each index.
The Hierarchy Analysis Method Measure Indexes that a kind of disaster assistance is given in table 14 take the method for determining, as can be seen from the table each allusion quotation
Type seismic disaster relief problem can determine different index weights sizes according to different evaluation indexes.Table 14 is given in table 15
The prediction scheme example of seismic disaster relief corresponding to middle prediction scheme 1.
The prediction scheme Measure Indexes example of table 14
The example of seismic disaster relief prediction scheme 1 in the table 14 of table 15
(2) when actual seismic disaster occurs, by inquiring about public security people information subsystem and to the people information of inquiry
Carry out the corresponding evaluation index of demographic factor that analysis obtains actual seismic disaster area;By inquiring about weather information subsystem and to looking into
The weather information of inquiry carries out the corresponding evaluation index of weather conditions that analysis obtains actual seismic disaster area;By inquiring about medical information
Subsystem simultaneously carries out the corresponding evaluation index of epidemic situation factor that analysis obtains actual seismic disaster area to the medical information of inquiry;Pass through
Input interface obtains the corresponding earthquake magnitude of Disaster degree and degree of splitting in actual seismic disaster area;Accuse center subsystem according to unmanned loom
The image of system output obtains the corresponding earth's surface building damage degree of Disaster degree in actual seismic disaster area;According to unmanned plane subsystem
The corresponding means of transportation of traffic capacity in the image acquisition actual seismic disaster area of output can be matched somebody with somebody using degree and traffic to be arranged
Apply using degree, the traffic capacity for obtaining actual seismic disaster area by input interface is corresponding using vehicles number
Measure and using the ability to work of the vehicles;By inquiring about relief goods Storage Management Subsystem and to the relief goods deposit of inquiry
Situation carries out the corresponding evaluation index of disaster relief supplies reserve status that analysis obtains actual seismic disaster area;Accuse that center subsystem is adopted
The weight of each evaluation index in actual seismic disaster area is determined with the analytic hierarchy process (AHP) similar with step (1);Actual calamity might as well be assumed
Each weight calculation result of evil is C '={ C '1 C′2 C′3 ... C′24}。
(3) accuse that center subsystem calculates the weight and analytic hierarchy process (AHP) disaster of each evaluation index in actual seismic disaster area
The similarity degree of the weight of the corresponding each evaluation index of each typical earthquake disaster in parameter database is rescued, and chooses similar journey
The disaster assistance prediction scheme corresponding to maximum typical earthquake disaster is spent as the disaster assistance embodiment in actual seismic disaster area.
Preferably, a kind of computational methods of similarity degree measurement are given in formula (1), here using the calculating of Euler's distance
Method realizes have the advantages that to calculate simple, reliable results.
Wherein, Dis (CM, C ') and represent parameter weight CMThe distance between with index weights C ';With C 'iDifference table
Show CMWith the value of i-th of weight in C '.
The inventive method is suitable for occurring by seismic secondary landslide, mud-rock flow, surface collapse, heavy simultaneously
The decision-making and the implementation of command scheduling of rescue method during each disaster such as drop and cracking.
Unspecified part of the present invention belongs to general knowledge as well known to those skilled in the art.
Claims (7)
1. a kind of seismic disaster relief command dispatching system, it is characterised in that by charge center subsystem, remote sensing satellite subsystem
System, unmanned plane subsystem, public security people information subsystem, weather information subsystem, medical information subsystem, relief goods stock
Subsystem and input interface composition, wherein:
Remote sensing satellite subsystem is used for the remote sensing images for obtaining earthquake-stricken area and sends remote sensing images to charge center subsystem;
Unmanned plane subsystem is used for the Aerial Images for obtaining earthquake-stricken area, and Aerial Images are sent to charge center subsystem;
Public security people information subsystem is used for the people information for recording each department, can be real in the case where accusing the request of center subsystem
Now to the inquiry of earthquake-stricken area people information, and the people information of inquiry is sent to charge center subsystem;
Weather information subsystem is used for the weather information for recording each department, being capable of the realization pair in the case where accusing the request of center subsystem
The inquiry of earthquake-stricken area weather information, and the weather information of inquiry is sent to charge center subsystem;
Medical information subsystem is used for the medical information for recording each department, being capable of the realization pair in the case where accusing the request of center subsystem
The inquiry of earthquake-stricken area medical information, and the medical information of inquiry is sent to charge center subsystem;
Relief goods Storage Management Subsystem is used to record each department relief goods reserve status, can accuse asking for center subsystem
Inquiry of the lower realization to relief goods reserve status is asked, and the relief goods reserve status of inquiry is sent to charge center subsystem
System;
Input interface is used for the earthquake magnitude for inputting earthquake-stricken area with degree of splitting, using vehicles quantity and using the vehicles
Ability to work;
Accuse that center subsystem includes analytic hierarchy process (AHP) disaster assistance parameter database, the analytic hierarchy process (AHP) disaster assistance parameter
Database includes the corresponding index weights of every kind of typical earthquake disaster and corresponding disaster assistance prediction scheme;Accuse center subsystem root
The visualization display and the change in disaster area that the remote sensing images exported according to remote sensing satellite subsystem carry out remote sensing geography information are examined
Survey;The Aerial Images exported according to unmanned plane subsystem carry out display, the unmanned plane boat of unmanned plane image and video data
The display of mark, earth's surface building damage degree, the means of transportation for calculating earthquake-stricken area can be available using degree and traffic auxiliary facility
Degree is simultaneously shown;Obtained practically by inquiring about public security people information subsystem and carrying out analysis to the people information of inquiry
The corresponding evaluation index of demographic factor in earthquake calamity area is simultaneously shown;By inquiring about weather information subsystem and to the meteorology of inquiry
Information carries out analysis and obtains the corresponding evaluation index of weather conditions in actual seismic disaster area and shown;By inquiring about medical treatment letter
Cease subsystem and the medical information to inquiry carries out analysis and obtains the corresponding evaluation index of epidemic situation factor in actual seismic disaster area simultaneously
Shown;Traffic capacity that actual seismic disaster area is obtained by input interface it is corresponding using vehicles quantity and
Using the vehicles ability to work and shown;The Disaster degree correspondence in actual seismic disaster area is obtained by input interface
Earthquake magnitude and degree of splitting and shown;By inquiring about relief goods Storage Management Subsystem and relief goods reserve status to inquiry is entered
Row analysis obtains the corresponding evaluation index of disaster relief supplies reserve status in actual seismic disaster area and shown;Charge center subsystem
System determines the weight of each evaluation index in earthquake-stricken area using analytic hierarchy process (AHP) method;Accuse that center subsystem calculates actual seismic
The weight of each evaluation index in disaster area is corresponding with each typical earthquake disaster in analytic hierarchy process (AHP) disaster assistance parameter database every
The similarity degree of the weight of individual evaluation index, and the disaster assistance chosen corresponding to the maximum typical earthquake disaster of similarity degree is pre-
Case as actual seismic disaster area disaster assistance embodiment.
2. a kind of seismic disaster relief command dispatching system according to claim 1, it is characterised in that accuse center subsystem
System is made up of four high-performance computers and a large-screen display;The dominant frequency of high-performance computer is 3.2GHz, inside saves as 4G;
First computer is connected with remote sensing satellite subsystem, unmanned plane subsystem in four high-performance computers, is responsible for display distant
Feel geographical information visualization result, carry out the display of unmanned plane image and video data and unmanned aerial vehicle flight path;Second meter
Calculation machine is responsible for and public security people information subsystem, weather information subsystem, medical information subsystem and material storage subsystem
It is connected, realizes the foundation and the access of data to each subsystem data communication link, while realizes to First computer
Data are supported;On 3rd computer install Oracle business databases, realize to all kinds of disasters and rescue data storage with
Basic data analysis;4th computer realizes the backup to first three computer important foundation data and system, in case being
System breaks down and is recovered and repaired when paralysing.
3. a kind of seismic disaster relief command dispatching system according to claim 1, it is characterised in that:The remote sensing satellite
The remote sensing satellite that subsystem is used is visible ray, infrared or microwave remote sensing imaging satellite.
4. a kind of seismic disaster relief command dispatching system according to claim 1, it is characterised in that:The unmanned loom
The unmanned plane that system is used is fixed-wing unmanned plane or multi-rotor unmanned aerial vehicle.
5. a kind of seismic disaster relief command dispatching system according to claim 1, it is characterised in that:The unmanned plane flies
The coordinate location method of row flight path realizes that position is positioned using gps satellite or using big-dipper satellite.
6. a kind of seismic disaster relief command dispatching system according to claim 1, it is characterised in that:Demographic factor correspondence
The size of population, the density of population, disadvantaged group's population ratio, population quality and the disaster of evaluation index including disaster area cause
Casualties situation;The corresponding evaluation index of weather conditions includes gas epidemic disaster, wind-force and the fine shape of weather in disaster area
Condition;The corresponding evaluation index of epidemic situation factor includes harmfulness, infectiousness, treatment pressing degree and the diffusion model of disaster area epidemic situation
Enclose;The corresponding evaluation index of Disaster degree includes earthquake magnitude, degree of splitting and earth's surface the building damage degree in disaster area;Traffic capacity
The means of transportation of corresponding evaluation index including disaster area can be using degree, available using degree, traffic auxiliary facility
Vehicles quantity and the ability to work using the vehicles;The corresponding evaluation index of disaster relief supplies reserve status includes disaster-stricken
The relief goods stock on regional periphery, disaster relief supplies product quality, disaster relief supplies and disaster relief demand matching degree and disaster relief supplies
Distribution.
7. the side being scheduled using the seismic disaster relief command dispatching system described in claim 1 to 5 any claim
Method, it is characterised in that realize that step is as follows:
(1) the analytic hierarchy process (AHP) disaster assistance parameter database of each typical earthquake disaster is set up;The analytic hierarchy process (AHP) disaster is rescued
Helping database includes the corresponding index weights of every kind of typical earthquake disaster and corresponding disaster assistance prediction scheme;
The determination method of the corresponding index weights of each typical earthquake disaster is as follows:
For the demographic factor in disaster area, weather conditions, epidemic situation factor, Disaster degree, traffic capacity and rescue respectively
Calamity material stock situation collects evaluation index;The corresponding evaluation index of demographic factor includes the size of population in disaster area, population
The casualties situation that density, disadvantaged group's population ratio, population quality and disaster are caused;The corresponding evaluation index of weather conditions
Gas epidemic disaster, wind-force and the fine situation of weather including disaster area;The corresponding evaluation index of epidemic situation factor includes disaster area
Harmfulness, infectiousness, treatment pressing degree and the range of scatter of epidemic situation;The corresponding evaluation index of Disaster degree includes disaster area
Earthquake magnitude, degree of splitting and earth's surface building damage degree;The corresponding evaluation index of traffic capacity includes the means of transportation in disaster area
Degree can be utilized using degree, traffic auxiliary facility, using vehicles quantity and using the work energy of the vehicles
Power;The corresponding evaluation index of disaster relief supplies reserve status includes the relief goods stock on disaster area periphery, disaster relief supplies product
Quality, disaster relief supplies and disaster relief demand matching degree and disaster relief supplies distribution;
The weight of each evaluation index is determined using analytic hierarchy process (AHP), and works out corresponding disaster assistance prediction scheme;
(2) when actual seismic disaster occurs, by inquiring about public security people information subsystem and to the people information progress of inquiry
Analysis obtains the corresponding evaluation index of demographic factor in actual seismic disaster area;By inquiring about weather information subsystem and to inquiry
Weather information carries out the corresponding evaluation index of weather conditions that analysis obtains actual seismic disaster area;By inquiring about medical information subsystem
Unite and the corresponding evaluation index of epidemic situation factor that analysis obtains actual seismic disaster area is carried out to the medical information of inquiry;Pass through input
Interface obtains the corresponding earthquake magnitude of Disaster degree and degree of splitting in actual seismic disaster area;Accuse center subsystem according to unmanned plane subsystem
The image of output obtains the corresponding earth's surface building damage degree of Disaster degree in actual seismic disaster area;Exported according to unmanned plane subsystem
Image obtain the corresponding means of transportation of traffic capacity in actual seismic disaster area can using degree and traffic auxiliary facility
Producing level, traffic capacity that actual seismic disaster area is obtained by input interface it is corresponding using vehicles quantity and
Using the ability to work of the vehicles;By inquiring about relief goods Storage Management Subsystem and to the relief goods reserve status of inquiry
Carry out the corresponding evaluation index of disaster relief supplies reserve status that analysis obtains actual seismic disaster area;Accuse that center subsystem uses layer
Fractional analysis determines the weight of each evaluation index in actual seismic disaster area;
(3) accuse that center subsystem calculates the weight of each evaluation index in actual seismic disaster area and analytic hierarchy process (AHP) disaster assistance is joined
The similarity degree of the weight of the corresponding each evaluation index of each typical earthquake disaster in number databases, and it is maximum to choose similarity degree
Typical earthquake disaster corresponding to disaster assistance prediction scheme as actual seismic disaster area disaster assistance embodiment.
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Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2000353180A (en) * | 1999-06-11 | 2000-12-19 | Hitachi Ltd | Disaster information collection device |
KR20080011820A (en) * | 2006-07-31 | 2008-02-11 | 주식회사 유비알에프 | The system which tracks/controls the location/state of the misfortune rescuer |
US7580898B2 (en) * | 2004-03-15 | 2009-08-25 | Qsecure, Inc. | Financial transactions with dynamic personal account numbers |
CN102741895A (en) * | 2010-01-19 | 2012-10-17 | 瑞士再保险有限公司 | Method and system for automated location dependent natural disaster forecast |
CN202976376U (en) * | 2012-11-22 | 2013-06-05 | 华南农业大学 | Forest fire monitoring and emergency command system based unmanned aerial vehicle |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US8655806B2 (en) * | 2010-12-09 | 2014-02-18 | Sungeun JUNG | Disaster analysis and decision system |
-
2014
- 2014-12-23 CN CN201410815631.9A patent/CN104616093B/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2000353180A (en) * | 1999-06-11 | 2000-12-19 | Hitachi Ltd | Disaster information collection device |
US7580898B2 (en) * | 2004-03-15 | 2009-08-25 | Qsecure, Inc. | Financial transactions with dynamic personal account numbers |
KR20080011820A (en) * | 2006-07-31 | 2008-02-11 | 주식회사 유비알에프 | The system which tracks/controls the location/state of the misfortune rescuer |
CN102741895A (en) * | 2010-01-19 | 2012-10-17 | 瑞士再保险有限公司 | Method and system for automated location dependent natural disaster forecast |
CN202976376U (en) * | 2012-11-22 | 2013-06-05 | 华南农业大学 | Forest fire monitoring and emergency command system based unmanned aerial vehicle |
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