CN112330066A - Method for early warning trip risk during typhoon based on geographic information - Google Patents
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Abstract
A method for warning trip risks during typhoon based on geographic information is characterized in that space data processing capacity of a geographic information server is comprehensively applied by means of abundant weather service products, various space-time element characteristics related to typhoon are analyzed, a typhoon coming temporary warning information system is completed based on webgis, and the application range and depth of the typhoon information product in the service field are further widened and enhanced from the aspects of functions such as multi-function typhoon path query, integrated release of various weather information, geographic information functions and the like, so that a richer, better and more professional typhoon information acquisition mode is provided for the public through a network; after the typhoon passes through, the information that traffic cannot pass due to typhoon disasters is acquired through multiple channels, information integration processing and publishing are completed based on webgis, the geographical position relation between the typhoon and the typhoon is known for a user, a way for the user to know the trip risk visually is provided, a trip route is planned for the user, and the purpose of trip risk early warning is achieved.
Description
Technical Field
The invention relates to the technical field of geographic information, in particular to a method for early warning trip risks during a typhoon based on geographic information.
Background
Typhoon is one of the most destructive disasters in meteorological disasters, China is widely occupied with typhoon all the year round due to the fact that members are vast, and is one of the countries which are seriously damaged by typhoon disasters in the world, according to statistics of Chinese meteorological typhoon nets, 27 typhoons enter the environment every five years on average, huge casualties and economic losses are caused to the local, and the typhoon can also induce other natural disasters such as rainstorm, gale, debris flow and the like to cause great damage to traffic, so that traveling of people in the typhoon period is seriously influenced, early warning is made on safe traveling of people in the typhoon period, a reliable traveling scheme is provided, and the problem is worthy of attention.
The typhoon period comprises two time periods of typhoon passing and typhoon passing, the characteristic of the typhoon passing is accompanied by strong wind and rainstorm weather, the strong wind weather often causes trees and telegraph poles to be blown down, the road surface to be damaged, and the rainstorm weather often causes urban waterlogging, so that the safety of people going out is threatened certainly, therefore, when the typhoon passes, a typhoon passing path, an influence range and passing time are timely provided for people, the position relation between the people and a wind field is analyzed, and early warning work is performed for people going out; the characteristics of typhoon behind the process are that the house collapses, and mountain landslide, mud-rock flow have in the mountain area, and trees, wire pole cross on the road surface in the urban area, the city is flooded, and to a great extent causes the transportation facility to be destroyed, and the traffic is impassable, and people's trip risk also can improve, so, when the typhoon behind the process, in time release the impaired information of traffic, provide an audio-visual information acquisition form for the people of trip to accomplish trip risk early warning needs, plan good trip route, be the key that reduces the trip risk.
In recent years, with the development of geographic information technology, people can see the wide application of geographic information in various fields, so that people can understand the geographic information more and more deeply, and the application range of the geographic information in the related fields of weather and travel is wider and wider. The geographic information technology shows excellent spatial information management and analysis capability in the aspects of meteorological data query, storage, retrieval, statistical analysis, mathematical modeling based on spatial data and spatial data analysis. Meanwhile, the rapid progress of the geographic information technology provides powerful technical support for the management and sharing of typhoon data. Meanwhile, the wide application of the geographic information system in the meteorological field also provides valuable experience for the organic combination of the typhoon prediction system and the geographic information. With the development of networks, information sharing becomes an urgent need, and webgis not only has the data sharing characteristics and the information publishing function of network information, but also has the functions of the geographic information technology in the aspects of data management and spatial analysis.
At present, the first sea-land-gas integrated cooperative observation system for landing typhoon in China is designed and built in China, and the gap of typhoon monitoring in China is filled; the most complete typhoon multi-source data database in the Asia-Pacific region is established, data support is provided for typhoon monitoring and forecasting, climate change and extreme typhoon event research at home and abroad, and relevant data are recorded by a global tropical cyclone database of the world meteorological organization and participate in international data exchange; the system develops the key technical research of a typhoon numerical prediction system, establishes the typhoon numerical prediction system, and reduces the 24-hour typhoon path prediction error from 190 kilometers in 2003 to 60 kilometers in 2016; research and development of typhoon objective forecast release and fusion technology, typhoon large wind radius analysis and forecast, typhoon wind field release technology and the like are developed to fill up the gap of national typhoon wind and rain refined forecast technology business; a typhoon monitoring, forecasting and early warning comprehensive platform is constructed, and organic integration of functions of typhoon monitoring comprehensive display analysis, forecast product display analysis, forecast real-time inspection, ensemble forecasting, integration, display analysis and the like is achieved.
In the prior art, information of damage to urban traffic caused by typhoon disasters comes from news, and the information is often collected by manpower.
At present, some typhoon information systems mainly have the following defects:
1. when typhoon passes
(1) The typhoon information service products are few in types and single in expression mode;
(2) typhoon information products cannot be comprehensively displayed, so that users cannot intuitively know typhoons and related information;
(3) the user cannot really feel how close the user is to the typhoon and cannot know the trip risk of the position where the user is.
2. After the typhoon passes
(1) Disaster information collection is usually dependent on manpower, and the efficiency is low and is not timely;
(2) the user knows that disaster information comes from news, and information fragmentation is not timely, and the user can not know the condition of traffic disaster directly perceivedly and truly, can not estimate the trip risk, leads to the unable trip route of planning.
Disclosure of Invention
The invention aims to solve the technical problem of the prior art, and provides a geographical information-based trip risk early warning method during typhoon, which is reasonable in design, safe and reliable and can enable a user to intuitively know trip risks.
The technical problem to be solved by the present invention is achieved by the following technical means. The invention relates to a method for warning trip risks during typhoon based on geographic information, which comprises the following steps:
(1) when the typhoon passes through:
firstly, completing map display, acquiring original current city geographic information of a user by using a webgis map server, and generating a city map;
then, setting a map updating period, receiving the current city geographical change information by the map server in the updating period, and updating the current city map by the map server according to the current city geographical change information after the updating period;
then, the user can intuitively know the position relation between the current typhoon and the typhoon to be used as the basis of risk early warning by a typhoon path prediction method, a typhoon path and range visualization method and a user position display method;
(2) after the typhoon passes through
After the typhoon passes through the scene, using a map management, disaster observation information acquisition and trip arrangement server to perform trip risk early warning on the user, wherein the map management is used for generating the current city geographic information of the user and generating the city geographic information into a city map; the disaster observation information acquisition is used for calibrating an observation point according to a city map and acquiring disaster information of the observation point; the travel arrangement server is used for generating a safe and reliable travel route according to the current city map and the disaster information, and enabling a user to know the position relation between the user and the disaster point by means of the city map.
The technical problem to be solved by the present invention can be further solved by the following technical solution, in the above method for warning trip risk during typhoon based on geographic information, the method for predicting typhoon paths calculates similarities between different historical typhoon paths and real-time typhoon paths according to the method for path similarity, and then sorts the similarities according to the magnitudes of the similarities, specifically, selects the typhoon path with the largest similarity as a predicted path point of the real-time path, calculates a local similarity according to the range of a buffer circle of each key point, and selects an optimal solution in each buffer range.
The technical problem to be solved by the invention can be further solved by the following technical scheme that for the method for warning the trip risk during the typhoon based on the geographic information, the typhoon path and range visualization method comprises the steps of firstly making a data cone, then displaying the range of the error radius while representing the path through the cone, determining two tangent points on two adjacent circular coordinates, establishing a connecting line by taking the error radius as the diameter, and measuring and calculating the angle.
The technical problem to be solved by the present invention can be further solved by the following technical solution, in the method for warning trip risk during typhoon based on geographic information, the method for displaying user location includes acquiring GPS information by a geographic location sensor on a mobile phone of a user, and displaying the acquired GPS information on a map by using a map API.
The technical problem to be solved by the present invention can be further solved by the following technical solution, for the above method for warning trip risk during typhoon based on geographic information, the map management is to collect map information by using an information collection device, then set an update period of city geography, and receive current city geography change information by a map server in the update period; and after the updating period, the map server updates the current city map according to the current city geographic change information.
The technical problem to be solved by the present invention can be further solved by the following technical solution, wherein for the method for warning trip risk during typhoon based on geographic information, the information acquisition device includes a map server, an unmanned aerial vehicle, and a municipal service vehicle, the map server is used for generating and storing current city geographic information and a current city map, the unmanned aerial vehicle and the municipal service vehicle are used for dynamically updating city change information and uploading the city change information to the map server, and the current city geographic information includes city basic element information including streets, buildings, traffic facilities, and city disaster information acquired through disaster observation information.
The technical problem to be solved by the present invention can be further solved by the following technical solutions, in the above method for warning trip risk during typhoon based on geographic information, the disaster observation information is collected by using an urban street camera, a pedestrian photographing and uploading device, and a sensing device deployed in a mountainous area, the urban street camera is used for obtaining street conditions of pedestrians in traffic, and the camera obtains real-time images of streets and uploads the images to a trip arrangement server for image analysis, so as to obtain urban disaster information; the method comprises the steps that pedestrians take pictures and upload the pictures, and the pedestrians upload the taken pictures of the road conditions to a trip arrangement server to carry out image analysis so as to obtain urban disaster information; the sensing equipment deployed in the mountainous area monitors abnormal conditions of the mountain based on a large amount of sensing equipment of the cellular Internet of things, receives and processes whether abnormal information exists in the sensor in real time, and uploads the abnormal information to the trip arrangement server so as to obtain urban disaster information.
The technical problem to be solved by the present invention can be further solved by the following technical solution, in the above method for warning trip risk during typhoon based on geographic information, the trip arrangement server is configured to acquire GPS information of a user through a mobile device of the user, integrate collected disaster observation information to form disaster occurrence points, and then generate a safe trip route by eliminating the disaster occurrence points.
Compared with the prior art, the invention relies on abundant weather service products, comprehensively applies the spatial data processing capacity of the geographic information server, analyzes various space-time element characteristics related to typhoon, completes the temporary typhoon early warning information system based on webgis, and further widens and strengthens the application range and depth of the typhoon information products in the service field from the aspects of functions such as multifunctional typhoon path inquiry, various weather information integrated release, geographic information function and the like, thereby providing richer, better and more professional typhoon information acquisition modes for the public through the network; after the typhoon passes through, the information that traffic cannot pass due to typhoon disasters is acquired through multiple channels, information integration processing and publishing are completed based on webgis, the geographical position relation between the typhoon and the typhoon is known for a user, a way for the user to know the trip risk visually is provided, a trip route is planned for the user, and the purpose of trip risk early warning is achieved.
Drawings
FIG. 1 is a schematic block diagram of a method of the present invention;
FIG. 2 is a schematic diagram of a method for calculating similar paths according to the present invention;
FIG. 3 is a block diagram illustrating a method for map management according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings of the present invention, and it is obvious that the described embodiments are some embodiments of the present invention, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1 to 3, a method for trip risk early warning during typhoon based on geographic information includes:
1. when the typhoon passes through:
firstly, map display is completed, original user current city geographic information is obtained by using a webgis map server, and a city map is generated; setting a map updating period, and receiving the current city geographical change information by a map server in the updating period; after the updating period, the map server updates the current city map according to the current city geographical change information; the method for early warning the trip risk when the typhoon passes comprises the following three specific methods, namely a typhoon path prediction method, a typhoon path and range visualization method and a user position display method, so that a user can intuitively know the position relation between the user and the typhoon and the position relation between the user and the typhoon at present on a map and the position relation between the user and the typhoon to be used as the basis of risk early warning;
(1) typhoon path prediction method
According to the path similarity method, calculating the similarity between different historical typhoon paths and real-time typhoon paths, and then sorting according to the similarity; firstly, selecting a typhoon path with the maximum similarity as a predicted path point of a real-time path, calculating a local similarity according to the buffer circle range of each key point, and selecting an optimal solution in each buffer range; the method is schematically shown in FIG. 2, wherein B1, B2 and B3 represent different time instants, namely representing paths of typhoons at different time instants; a1, A2, A3 and A4 represent key points obtained by calculating local maximum similarity of different historical typhoon paths, and S1 and S2 are paths of current foreground typhoons; the method effectively solves the problem that two typhoon paths cannot be completely consistent by using the local maximum similarity, and continuously selects an optimal solution as a prediction point in prediction;
(2) typhoon path and range visualization method
Firstly, a data cone is manufactured, and considering that the error radius of the typhoon wind field is larger and larger along with the lapse of prediction time, the range of the error radius can be displayed while representing a path through the cone, two tangent points are determined on two adjacent circular coordinates, and a connection line is established by taking the error radius as the diameter and an angle is measured and calculated; the source of the typhoon data at the current moment can be China typhoon meteorological network API, and the known data comprises: the position of the typhoon, the wind speeds of the typhoon eyes in different directions and the maximum typhoon radius;
(3) user position display method
The GPS information can be acquired through a geographic position sensor on a mobile phone of a user, and the specific information which can be acquired is as follows: 1, longitude, 2, latitude, 3, altitude, 4, horizontal precision (meters), 5, vertical precision (meters), 6, velocity, 7, time; and displaying the acquired GPS information on a map by using a map API.
2. After the typhoon passes through
After the typhoon passes through the scene, the completion of the trip risk early warning comprises the following three aspects, including map management, disaster observation information acquisition and trip arrangement server; the map management is used for generating the current city geographic information of the user and generating the city geographic information into a city map; the disaster observation information collection is used for calibrating an observation point according to a city map and collecting disaster information of the observation point, wherein the disaster information comprises tree collapse, mountain collapse and the like; the travel arrangement server is used for generating a safe and reliable travel route according to the current city map and the disaster information; the user can know the position relationship between the user and the disaster point by means of the city map.
(1) Map management
The system comprises a map server, an unmanned aerial vehicle, a municipal service vehicle and other various information acquisition devices, wherein the map server is used for generating and storing current city geographic information and a current city map, the unmanned aerial vehicle and other various information acquisition devices are used for dynamically updating city change information and uploading the city change information to the map server, and the current city geographic information comprises city basic element information, namely streets, buildings, traffic facilities and the like, and also comprises city disaster information acquired through disaster observation information; setting a city geography updating period, and receiving current city geography change information by a map server in the updating period; and after the updating period, the map server updates the current city map according to the current city geographic change information.
(2) Disaster observation information collection
The disaster observation information acquisition system comprises an urban street camera, a trip arrangement server and a disaster observation information acquisition device, wherein the urban street camera is used for acquiring street conditions of pedestrians in a driving way, and the camera acquires real-time images of streets and uploads the images to the trip arrangement server for image analysis so as to obtain urban disaster information; the method comprises the steps that pedestrians take pictures and upload the pictures, and the pedestrians upload the taken pictures of the road conditions to a trip arrangement server to carry out image analysis so as to obtain urban disaster information; aiming at landslide, a large number of sensing devices are deployed in a mountain area, abnormal conditions of the mountain are monitored through the large number of sensing devices based on the cellular Internet of things, whether abnormal information exists in a sensor or not is received and processed in real time, and the abnormal information is uploaded to a trip arrangement server, so that urban disaster information is obtained.
(3) Travel arrangement server
Firstly, GPS information of a user is acquired through mobile equipment such as a mobile phone and a computer of the user, the acquired disaster observation information is integrated to form disaster occurrence points, and a safe trip route is generated by eliminating the disaster occurrence points; on the basis of generating the reachable route, the road sections with disasters are removed, arrows in the drawing are marked, and the rest routes are safe travel routes.
Claims (8)
1. A method for early warning of trip risk during typhoon based on geographic information is characterized by comprising the following steps: the method comprises the following steps:
(1) when the typhoon passes through:
firstly, completing map display, acquiring original current city geographic information of a user by using a webgis map server, and generating a city map;
then, setting a map updating period, receiving the current city geographical change information by the map server in the updating period, and updating the current city map by the map server according to the current city geographical change information after the updating period;
then, the user can intuitively know the position relation between the current typhoon and the position relation to be about to be connected with the typhoon on a map through a typhoon path prediction method, a typhoon path and range visualization method and a user position display method, and the typhoon path and range visualization method is used as the basis of risk early warning;
(2) after the typhoon passes through
After the typhoon passes through the scene, using a map management, disaster observation information acquisition and trip arrangement server to perform trip risk early warning on the user, wherein the map management is used for generating the current city geographic information of the user and generating the city geographic information into a city map; the disaster observation information acquisition is used for calibrating an observation point according to a city map and acquiring disaster information of the observation point; the travel arrangement server is used for generating a safe and reliable travel route according to the current city map and the disaster information, and enabling a user to know the position relation between the user and the disaster point by means of the city map.
2. The method for trip risk early warning during typhoon based on geographic information according to claim 1, characterized in that: the typhoon path prediction method comprises the steps of calculating the similarity between different historical typhoon paths and real-time typhoon paths according to a path similarity method, and then sequencing according to the similarity, wherein the specific process comprises the steps of selecting the typhoon path with the maximum similarity as a predicted path point of the real-time path, calculating a local similarity according to the range of a buffer circle of each key point, and selecting an optimal solution in each buffer range.
3. The method for trip risk early warning during typhoon based on geographic information according to claim 1, characterized in that: the typhoon path and range visualization method comprises the steps of firstly manufacturing a data cone, then displaying the range of the error radius while representing the path through the cone, determining two tangent points on two adjacent circular coordinates, establishing a connection line by taking the error radius as the diameter, and measuring and calculating the angle.
4. The method for trip risk early warning during typhoon based on geographic information according to claim 1, characterized in that: the user position display method comprises the steps of acquiring GPS information through a geographic position sensor on a mobile phone of a user, and then displaying the acquired GPS information on a map by using a map API.
5. The method for trip risk early warning during typhoon based on geographic information according to claim 1, characterized in that: the map management is that map information is acquired by using information acquisition equipment, then an urban geography updating period is set, and a map server receives current urban geography change information in the updating period; and after the updating period, the map server updates the current city map according to the current city geographic change information.
6. The method for trip risk early warning during typhoon based on geographic information according to claim 5, characterized in that: the information acquisition equipment comprises a map server, an unmanned aerial vehicle and a municipal service vehicle, wherein the map server is used for generating and storing current city geographic information and a current city map, the unmanned aerial vehicle and the municipal service vehicle are used for dynamically updating city change information and uploading the city change information to the map server, and the current city geographic information comprises city basic element information including streets, buildings and traffic facilities and city disaster information acquired through disaster observation information.
7. The method for trip risk early warning during typhoon based on geographic information according to claim 1, characterized in that: the disaster observation information acquisition comprises the steps of acquiring information through an urban street camera, photographing pedestrians and uploading the information, and acquiring the information through sensing equipment deployed in a mountainous area, wherein the urban street camera is used for acquiring street conditions of pedestrians in a driving vehicle, and the camera acquires real-time images of streets and uploads the images to a trip arrangement server for image analysis so as to obtain urban disaster information; the method comprises the steps that pedestrians take pictures and upload the pictures, and the pedestrians upload the taken pictures of the road conditions to a trip arrangement server to carry out image analysis so as to obtain urban disaster information; the sensing equipment deployed in the mountainous area monitors abnormal conditions of the mountain based on a large amount of sensing equipment of the cellular Internet of things, receives and processes whether abnormal information exists in the sensor in real time, and uploads the abnormal information to the trip arrangement server so as to obtain urban disaster information.
8. The method for trip risk early warning during typhoon based on geographic information according to claim 1, characterized in that: the trip arrangement server is used for acquiring GPS information of a user through mobile equipment of the user, integrating the acquired disaster observation information to form disaster occurrence points, and then generating a safe trip route by eliminating the disaster occurrence points.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113240316A (en) * | 2021-05-28 | 2021-08-10 | 谢静芳 | Group mist tracing method and device, electronic equipment and storage medium |
| CN113807586A (en) * | 2021-09-18 | 2021-12-17 | 台州学院 | Typhoon optimal disaster-avoiding route calculation method and terminal combining terrain factors |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2009277003A (en) * | 2008-05-14 | 2009-11-26 | Navitime Japan Co Ltd | Terminal device, information providing method and information providing system |
| JP2011210205A (en) * | 2010-03-31 | 2011-10-20 | Fujitsu Ltd | Disaster information processing apparatus |
| JP2012083180A (en) * | 2010-10-08 | 2012-04-26 | Canvas Mapple Co Ltd | Navigation device and navigation program |
| CN108492554A (en) * | 2018-03-13 | 2018-09-04 | 辽宁工业大学 | A kind of traffic data collection processing system and its control method |
| CN111080499A (en) * | 2019-11-21 | 2020-04-28 | 武汉烽火众智数字技术有限责任公司 | Multi-dimensional data fusion application platform based on flood prevention and fire prevention scene |
| CN111880244A (en) * | 2020-07-31 | 2020-11-03 | 长威信息科技发展股份有限公司 | Typhoon early warning system based on internet of things |
-
2020
- 2020-11-27 CN CN202011359679.5A patent/CN112330066A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2009277003A (en) * | 2008-05-14 | 2009-11-26 | Navitime Japan Co Ltd | Terminal device, information providing method and information providing system |
| JP2011210205A (en) * | 2010-03-31 | 2011-10-20 | Fujitsu Ltd | Disaster information processing apparatus |
| JP2012083180A (en) * | 2010-10-08 | 2012-04-26 | Canvas Mapple Co Ltd | Navigation device and navigation program |
| CN108492554A (en) * | 2018-03-13 | 2018-09-04 | 辽宁工业大学 | A kind of traffic data collection processing system and its control method |
| CN111080499A (en) * | 2019-11-21 | 2020-04-28 | 武汉烽火众智数字技术有限责任公司 | Multi-dimensional data fusion application platform based on flood prevention and fire prevention scene |
| CN111880244A (en) * | 2020-07-31 | 2020-11-03 | 长威信息科技发展股份有限公司 | Typhoon early warning system based on internet of things |
Non-Patent Citations (3)
| Title |
|---|
| MAPBOX中国: "教程 | 从 0 到 1，教你可视化实时台风路径", pages 4 - 5, Retrieved from the Internet <URL:https://zhuanlan.zhihu.com/p/48928626> * |
| 李博;: "基于GIS的台风预警信息***设计与实现", 电脑知识与技术, no. 33, 25 November 2017 (2017-11-25), pages 106 - 107 * |
| 李博;: "基于GIS的台风预警信息***设计与实现", 电脑知识与技术, no. 33, pages 106 - 107 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113240316A (en) * | 2021-05-28 | 2021-08-10 | 谢静芳 | Group mist tracing method and device, electronic equipment and storage medium |
| CN113807586A (en) * | 2021-09-18 | 2021-12-17 | 台州学院 | Typhoon optimal disaster-avoiding route calculation method and terminal combining terrain factors |
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