CN106772685B - Similar typhoon matching algorithm and software support system based on Web-GIS - Google Patents
Similar typhoon matching algorithm and software support system based on Web-GIS Download PDFInfo
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Abstract
The invention discloses a kind of similar typhoon matching algorithm and software support system based on Web GIS, this system is to integrate the typhoon software support system of the services such as Typhoon Information inquiry, forecast, statistics, including real-time typhoon track synchronization module, real-time typhoon track display module, real-time typhoon matching module, history typhoon contrast module, water rain the condition of a disaster enquiry module, history typhoon statistical module, data management module, user management module, data memory module, it is feature-rich perfect, there is stronger realistic meaning.The invention also discloses 4 kinds of similar typhoon matching algorithms, including real-time buffer matching algorithm, feature Similarity matching algorithm, predicted path matching algorithm and comprehensive matching algorithm.System of the invention can intuitively show the comparison of current typhoon and history typhoon, flexibly practical, and the common people can be allowed to understand the weather and the condition of a disaster situation that typhoon may cause in time, and defence scheduling is efficiently arranged to provide foundation for relevant department.
Description
Technical field
The present invention relates to meteorological models to monitor field, the in particular to similar typhoon matching algorithm based on Web GIS and soft
Part supports system.
Background technique
China southeastern coastal areas are frequent by typhoon, and typhoon disaster number is 2.8 times every year on average, influence in recent years
The typhoon quantity and the condition of a disaster of coastal area lose the trend being significantly increased, 2004 " Yun Na ", " Sang Mei ", 2016 in 2006
The typhoons such as year " Mo Landi " all cause significant impact to provinces such as Zhejiang, Fujian in succession, reinforce the real-time tracking of typhoon track
It is extremely important with forecasting research.In addition, needing the correlation circumstance to current typhoon and history typhoon in the research work of typhoon
A large amount of comparative analysis work is carried out, existing mode is according to data such as satellite cloud pictures, and artificial enquiry history typhoon data are simultaneously
It is compared one by one with current typhoon in real time, to be found in numerous history typhoons and current real-time typhoon is similar goes through
History typhoon.This working method expends a large amount of human resources, not only lacks stringent matching criteria, and artificial subjectivity is strong, and
And intelligence degree is low, working efficiency is low, and cannot intuitively show the comparison of current typhoon and history typhoon.Therefore I
Invented it is a kind of integrate Typhoon Information inquiry, forecast, statistics etc. services similar typhoon matching algorithm and software support
System can allow the common people to understand the weather and the condition of a disaster situation that typhoon may cause in time, efficiently arrange for relevant department
Defence scheduling provides foundation.
Summary of the invention
To solve the deficiencies in the prior art, the purpose of the present invention is to provide a kind of similar typhoons based on Web GIS
With algorithm and software support system.
To realize that above-mentioned target, the present invention adopt the following technical scheme that:
A kind of similar typhoon software support system based on Web GIS, including real-time typhoon track synchronization module, real-time platform
Wind path diameter display module, real-time typhoon matching module, history typhoon contrast module, water rain the condition of a disaster enquiry module, history typhoon system
Module, data management module, user management module, data memory module are counted, the real-time typhoon track synchronization module is taking
Business device backstage independent operating, the position for the typhoon that four the real-time synchronization acquisition U.S., Japan, Taiwan and China forecast platforms are forecast,
The information such as wind-force, solar or lunar halo, air pressure, intensity, and store information into the corresponding library table of database.
Further, database table includes typhoon position and mark sheet, State of Typhoon table, typhoon forecast table, rain condition feature
Table, tidal level table, the condition of a disaster table；Typhoon forecast table and typhoon position and mark sheet pass through letter in real-time typhoon synchronization program synchronous meter
Breath, State of Typhoon table by data base logic sentence from typhoon position and mark sheet summary information, rain condition mark sheet, tidal level table,
The condition of a disaster table can be realized by the automatic or manual modification data of front end data interface page and easily manage and maintain operation.
Further, when synchronization is there are when more real-time typhoons, current typhoon selection function is set, in real time from more
Current typhoon is selected to carry out real-time typhoon matching in typhoon.
The present invention also provides a kind of similar typhoon matchings for the similar typhoon software support system based on Web GIS
Algorithm, real-time typhoon matching includes four kinds of similar typhoon matching algorithms, comprising: real-time buffer method, feature analogue method, prediction road
Shot and comprehensive matching method.
Further, the real-time buffer method, includes the following steps:
Step 1: using current typhoon position as the center of circle, determining the region that a buffering radius defaults to 200 kilometers；
Step 2: calculating the distance for passing through the key point of the history typhoon in the region to the center of circle；
Step 3: it is ranked up according to the distance in step 2, it is higher apart from smaller similarity, on the contrary it is lower.If there is 2
Above history typhoon key point all buffering circle in, with the distance between the key point nearest from the center of circle and center of circle be standard into
Row sequence.
Further, the feature analogue method, includes the following steps:
Step 1: premised on geography is similar, inputting current typhoon buffering radius of circle, default value 200km；
Step 2: (matching duration represents the path from typhoon starting point to end point to input matching duration, and it is small to be defaulted as 24
When), input matching interval (matching interval represents the drafting interval of buffering circle, is defaulted as 24 hours) selects season similar, selection
Shifting speed is similar, and selection intensity is similar；
Step 3: according to the selection in step 2, calculating similar typhoon similarity, and be ranked up.
Further, the predicted path method, includes the following steps:
Step 1: based on typhoon current point, Taiwan, China, the U.S. and Japanese meteorological observatory's predicted path envelope range
As constraint condition, maximum area envelope is drawn；
Step 2: calculating the key point number and current typhoon forecast point that each similar historical typhoon is fallen in estimation range
The ratio between number, the similarity as predicted path method；
Step 3: being ranked up according to the similarity in step 2.
Further, the comprehensive matching method, includes the following steps:
Step 1: according to feature analogue method match similar typhoon (S 1,S 2...,S n), the typhoon that predicted path method matches
For (T 1,T 2...,T m), intersection (Q 1,Q 2,…,Q j) it is the history typhoon that comprehensive matching algorithm search goes out；
Step 2: calculate similar typhoon obtained in step 1 (Q 1,Q 2,…,Q j) similarity；
Step 3: being ranked up according to the similarity in step 2.
The invention has the beneficial effects that: the similar typhoon Comprehensive Query System of the invention based on Web GIS can be intuitive
The current typhoon of display and history typhoon and history typhoon between comparison, easily inquire water rain the condition of a disaster, be able to carry out and go through
The statistics of history typhoon, typhoon matching process diversification of the invention, meets the different demand of the focus of different crowd.
Detailed description of the invention
Fig. 1 is the illustrative view of functional configuration that the present invention designs similar typhoon Comprehensive Query System.
Fig. 2 is similar typhoon real-time buffer matching algorithm schematic diagram in the present invention.
Fig. 3 is similar typhoon feature Similarity matching algorithm schematic diagram in the present invention.
Fig. 4 is similar typhoon forecast Path Matching Algorithm schematic diagram in the present invention.
Fig. 5 is similar typhoon comprehensive matching algorithm principle figure in the present invention.
Fig. 6 is to draw envelope schematic diagram using algorithm of convex hull.
Specific embodiment
Specific embodiments of the present invention will be described in further detail for needle with reference to the accompanying drawings of the specification.
As shown in Figure 1, similar typhoon software support system of the invention is in the actual application process, including server
End, client, the synchronous end of real-time typhoon；Wherein, server uses Web server, is realized and is handed over by http agreement and client
It mutually responds, setting connection database module, current typhoon selecting module, similar typhoon matching algorithm module, water rain in server
The condition of a disaster read module, typhoon statistic algorithm module, data modification module, subscriber identification module；Client can be set in computer,
The movement such as plate, mobile phone and immobile terminal, system can be run on each browser of these three terminals, in each terminal
Respectively include real-time typhoon track display module, matching criteria selecting module, current typhoon selecting module, typhoon simple information mould
Block, water rain the condition of a disaster display module, history typhoon track comparison display module, history typhoon statistics display module, user management are aobvious
Show module, data management display module；Real-time typhoon synchronizes end and synchronizes real-time typhoon and stored, including database connects mould
Block, real-time typhoon data source modules, data cache module.
In practical application, the user of client terminal passes through virtual key in terminal or physical button input instruction selection
Current typhoon triggers current typhoon selection instruction and starts to work, and server receives instruction, and starts work after parsing to it
Make, the information of current typhoon is transmitted according to the selection of user, and shows current typhoon track in browser interface.Next make
User can choose any one kind of them from four kinds of similar typhoon matching algorithms as desired by key, carry out current typhoon matching,
User can think typhoon to be shown by key selection in front-end interface in all typhoons allotted.In addition, real-time buffer
Method default buffering radius is 200km, and user can be manually entered other values by key；Feature analogue method default is geographical similar slow
Rushing radius is 200km, and user can be manually entered other values by key, can also be in matching duration, matching interval, season phase
Seemingly, it moves in fast similar, the similar several matching criterias of intensity to be freely combined and be selected；Predicted path method default matching duration 24 is small
When, user can be changed manually by key；Comprehensive matching method includes all matchings in feature analogue method and predicted path method
Standard, user can be freely combined in several matching criterias and select.
After the similar typhoon for obtaining current typhoon, user selects the similar typhoon of concern to send instructions to service
Device, server obtain the water rain the condition of a disaster information of similar typhoon from database according to the number of the similar typhoon of acquisition, are sent to
Front end browser, user can intuitively obtain information by graphic interface.
User can be according to a certain information of history typhoon, for example in the time, numbers, logs in intensity, debarkation point etc., passes through
Key-press input character string, sends instructions to server, and server transmits data to visitor after inquiring related typhoon in database
Family terminal, user repeat above-mentioned steps, can find target histories typhoon, and the matching process of history typhoon uses feature phase
Like method, implementation steps are same as above.
In history typhoon statistics, for a certain place A, user can input typhoon scope of statistics, choosing by terminal push
Typhoon statistical method is selected, " statistics " key is clicked and sends instructions to server, server carries out history according to the instruction received
The statistics of typhoon, statistics influence the typhoon number on the ground A, the typhoon number for logging in the ground A, with logging in A typhoon proportion.
Administrator user can modify typhoon relevant information, including typhoon basis in client terminal by data management interface
Information, logon information, rain condition information, tidal level information, the condition of a disaster information etc., user passes through keying input information in front-end interface
Afterwards, after server receives instruction, data is read and are deposited into the corresponding library table of database.
User can understand some essential informations of system by help options function, click " help " key, transmission refers to
It enables to server, server searches help document from the storage of backstage, is sent to front end browser and parsed, user is
Can reading documents, enhance understanding to system.
Preferably as the present invention, the invention proposes following preferred embodiment:
Referring to shown in Fig. 2, similar typhoon real-time buffer matching algorithm includes:
Step 1: current typhoon position is the region that the center of circle determines that a buffering radius defaults to 200 kilometers；
Step 2: the distance for passing through the key point of the history typhoon in the region to the center of circle is calculated, if the key of similar typhoon 1
Distance of the point to the center of circle bed 1, the distance in key point to the center of circle of similar typhoon 2 isd 2, then the similarity of similar typhoon 1 beS 1=
(1-d 1/rThe similarity of) × 100%, similar typhoon 2 isS 2=(1-d 2/r) ×100%;
Step 3: being ranked up according to the distance in step 2, if S1>S2, then the similarity of similar typhoon 1 is than similar
Wind 2 is high.If there is 2 or more history typhoon key points are all in buffering circle, with the key point nearest from the center of circle and the center of circle it
Between distance be ranked up for standard.
As shown in figure 3, similar typhoon feature Similarity matching algorithm includes:
Step 1: premised on geography is similar, inputting current typhoon buffering radius of circle, default value 200km；
Step 2: (matching duration represents the path from typhoon starting point to end point to input matching duration, and it is small to be defaulted as 24
When), input matching interval (matching interval represents the drafting interval of buffering circle, is defaulted as 24 hours) selects season similar, selection
Shifting speed is similar, and selection intensity is similar；
Step 3: according to the selection in step 2, calculating similar typhoon similarity step 3 includes:
Step 3a: gentle to buffer the distance between the round heart and corresponding key point in every similar historical typhoon track d
The ratio for rushing radius of circle r establishes similarity SSI=1- (d/r)2；
Step 3b: the average value of the similarity of all key points is as history typhoon at the buffering circle using in buffering circle
Similarity, be denoted asSSIR,
Step 3c: it acquires allSSIR, then its average obtain the history typhoon to it is current in real time typhoon it is similar
DegreeSSIF,
The similarity of a similar typhoon has been obtained by being calculated for step 3, it is similar can similarly to calculate other
The similarity of typhoon is calculated and is sorted after completing.
As shown in figure 4, similar typhoon forecast Path Matching Algorithm includes:
Step 1: based on typhoon current point, Taiwan, China, the U.S. and Japanese meteorological observatory's predicted path envelope range
As constraint condition, maximum area envelope is drawn, as shown in fig. 6, drawing envelope, step packet using algorithm of convex hull here
It includes:
Step 1a: a given point set P=P 0 ,P 1 ,.....P n , find out a concentrationY(YRepresenting the ordinate of point) value is most
Small point, if the smallest point of Y value have it is multiple, may be selected whereinX(XRepresenting the abscissa of point) value is the smallest；
Step 1b: assuming that the point that previous step is found outP 0, polar angle sequence is carried out to remaining point now, by polar angle counterclockwise
Sort from small to large, it is assumed that ranking results collection beP 1 ,P 2 ,P 3 ,P 4 ,....P n }.Here not necessarily haveNIt is a, because may deposit
It is identical in the polar angle of several points, at this moment take evidenceP 0Away from farthest point, also or you set a polar angle threshold value, when two points
When polar angle difference is less than the threshold value, evidence is takenP 0Apart from remote point, the convex closure at this moment generated a little error, the size of error depends on
In the threshold value that you are arranged.This program does not use threshold value, so there is theoretically no errors for the convex closure generated.Carrying out polar angle sequence
When, do not need each point of genuine algorithm polar angle (polar angle here be the point withP 0Relative toXThe angle of axis), it is only necessary to it uses
Vector cross product judges that chained list has been used to carry out memory sequencing for this process as a result, because this process will do it frequently
Insertion；
Step 1c: willP 0、P 1、P 3Stacking,P 0、P 1The two point certainly on convex closure (reason is very simple,P 0Without explaining,P 1Because it be polar angle it is the smallest and for first point),P 2Then not necessarily on convex closure, (for (int is then recycled i=2;i<n;i++), determine whether next point of stack top, the broken line that stack top point and p [i] put this 3 points compositions turn left, if
If being, then p [i] stacking；Otherwise, the point of stack top is currently located at not on convex closure, bullet stack (process is recalled, it is ensured that it
Preceding all the points turn to correctly, and the step is critically important, not so cannot generate convex polygon), finally return to stack.
Step 2: calculating the key point number that each similar historical typhoon is fallen in estimation rangenWith current typhoon forecast point
NumbermThe ratio between, i.e. similarityS=n/m, similarity as predicted path method；
Step 3: being ranked up according to the similarity in step 2.
As shown in figure 5, similar typhoon comprehensive matching algorithm includes:
Step 1: according to feature analogue method match similar typhoon (S 1,S 2...,S n), the typhoon that predicted path method matches
For (T 1,T 2...,T m), intersection (Q 1,Q 2,…,Q j) it is the history typhoon that comprehensive matching algorithm search goes out；
Step 2: calculate similar typhoon obtained in step 1 (Q 1,Q 2,…,Q j) similarity, withQ 1For it is comprehensive to illustrate
The similarity of matching method is closed,Q 1It is according to the calculated similarity of feature analogue methodS 1, calculated similar according to predicted path method
Degree isT 1 , thenQ 1Similarity be；
Step 3: being ranked up according to similarity calculated in step 2.
The foregoing describe the basic principles, principal features and advantages of the present invention.Above-described embodiment does not limit in any form
The present invention, all technical solutions obtained by the way of equivalent substitution or equivalent transformation, all falls within protection scope of the present invention
It is interior.
Claims (4)
- It is calculated 1. a kind of similar typhoon based on Web GIS for the similar typhoon software support system based on Web GIS matches Method, the similar typhoon software support system based on Web GIS, including real-time typhoon track synchronization module, real-time typhoon road Diameter display module, real-time typhoon matching module, history typhoon contrast module, water rain the condition of a disaster enquiry module, history typhoon count mould Block, data management module, user management module, data memory module, the real-time typhoon track synchronization module in server Backstage independent operating, real-time synchronization obtain the U.S., Japan, the position of typhoon of the four forecast platforms forecast in Taiwan and China, wind-force, Solar or lunar halo, air pressure, strength information, and store information into the corresponding library table of database, it is characterised in that: real-time typhoon matching packet Include four kinds of similar typhoon matching algorithms, comprising: real-time buffer method, feature analogue method, predicted path method and comprehensive matching method；Institute Predicted path method is stated, is included the following steps:Step 1: based on typhoon current point, the envelope range conduct in Taiwan, China, the U.S. and Japanese meteorological observatory predicted path Constraint condition draws maximum area envelope, draws envelope using algorithm of convex hull, step includes:Step 1a: a given point set P=P 0 ,P 1 ,.....P n , find out a concentrationYIt is worth the smallest point,YRepresent the vertical seat of point Mark, if the smallest point of Y value have it is multiple, selection whereinXIt is worth the smallest point,XRepresent the abscissa of point；Step 1b: assuming that the point that previous step is found outP 0, polar angle sequence is carried out to remaining point, from small to large by polar angle counterclockwise Sequence, it is assumed that ranking results collection beP 1 ,P 2 ,P 3 ,P 4 ,....P n , take evidenceP 0Away from farthest point；Step 1c: willP 0、P 1、P 3Then stacking is recycled, determine next point of stack top, stack top point and p [i] put this three Whether the broken line of point composition turns left, if it does, then p [i] stacking；Otherwise, the point of stack top is currently located at not in convex closure On, stack is played, stack is finally returned to；Step 2: calculating the key point number that each similar historical typhoon is fallen in estimation rangenWith current typhoon forecast point numbermThe ratio between, i.e. similarityS=n/m, similarity as predicted path method；Step 3: being ranked up according to the similarity in step 2.
- 2. being used for the phase based on Web GIS of the similar typhoon software support system based on Web GIS as described in claim 1 Like typhoon matching algorithm, it is characterised in that: the real-time buffer method includes the following steps:Step 1: using current typhoon position as the center of circle, determining the region that a buffering radius defaults to 200 kilometers；Step 2: calculating the distance for passing through the key point of the history typhoon in the region to the center of circle；Step 3: it is ranked up according to the distance in step 2, it is higher apart from smaller similarity, on the contrary it is lower；If there is 2 or more history typhoon key points are all in buffering circle, between the key point nearest from the center of circle and the center of circle Distance be ranked up for standard.
- 3. being used for the phase based on Web GIS of the similar typhoon software support system based on Web GIS as claimed in claim 2 Like typhoon matching algorithm, it is characterised in that: the feature analogue method includes the following steps:Step 1: premised on geography is similar, inputting current typhoon buffering radius of circle, default value 200km；Step 2: input matching duration inputs matching interval, selects season similar, and selection shifting speed is similar, and selection intensity is similar, institute Path of the matching duration representative from typhoon starting point to end point is stated, is defaulted as 24 hours, the matching interval represents buffering circle Drafting interval, be defaulted as 24 hours；Step 3: according to the selection in step 2, calculating similar typhoon similarity, and be ranked up.
- 4. being used for the phase based on Web GIS of the similar typhoon software support system based on Web GIS as claimed in claim 3 Like typhoon matching algorithm, it is characterised in that: the comprehensive matching method includes the following steps:Step 1: similar typhoon is matched according to feature analogue methodS 1,S 2...,S n, the typhoon that predicted path method matches isT 1,T 2...,T m, intersectionQ 1,Q 2,…,Q jThe as history typhoon of comprehensive matching algorithm search out；Step 2: calculating similar typhoon obtained in step 1Q 1,Q 2,…,Q jSimilarity；Step 3: being ranked up according to the similarity in step 2.
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| CN107609707B (en) * | 2017-09-20 | 2021-02-02 | 四创科技有限公司 | Flood forecasting and disaster prevention decision method and system |
| CN108304680B (en) * | 2018-03-09 | 2021-11-02 | 中国计量大学 | WebGIS-based sewage discharge port planning simulation and evaluation system |
| CN109063894A (en) * | 2018-06-26 | 2018-12-21 | 广西电网有限责任公司电力科学研究院 | A kind of typhoon tracks forecast display system for power grid |
| CN109146995A (en) * | 2018-08-13 | 2019-01-04 | 长沙矿冶研究院有限责任公司 | A kind of typhoon distribution drawing drawing method and system |
| CN109297470B (en) * | 2018-10-19 | 2021-01-29 | 中国计量大学 | Similar typhoon matching algorithm based on power factors and path information |
| CN110333554B (en) * | 2019-07-10 | 2021-10-22 | 南京恩瑞特实业有限公司 | NRIET rainstorm intelligent similarity analysis method |
| CN111275234A (en) * | 2019-10-16 | 2020-06-12 | 防城港市气象局 | Typhoon integrated information service system |
| CN111221819B (en) * | 2019-12-27 | 2023-10-10 | 中国电子科技集团公司第十四研究所 | Similar typhoon rapid matching method based on multidimensional data space segmentation |
| CN114384611B (en) * | 2022-01-20 | 2024-04-26 | 中国气象局地球系统数值预报中心 | Typhoon simulation area determining method and device, electronic equipment and storage medium |
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| CN102156308A (en) * | 2011-03-09 | 2011-08-17 | 南京恩瑞特实业有限公司 | Method for discriminating typhoon path |
| CN103365958B (en) * | 2013-05-31 | 2016-12-28 | 南京信大高科技发展有限公司 | Typhoon forecast platform and typhoon track retrieval method |
| CN103544379B (en) * | 2013-09-30 | 2017-07-14 | 福建四创软件有限公司 | Landed Typhoon similarity analysis method based on GIS |
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