KR102307393B1 - System for providing flood information, and method thereof - Google Patents

Abstract

The present invention relates to an apparatus and method for providing flood information, and the apparatus for providing flood information according to the present invention includes: a location information storage unit for storing location information for each zone with respect to a spatial range subject to a flood prediction warning; a flood risk analysis unit that analyzes the flood risk for each zone based on rainfall data; a forecasting warning file generating unit for generating a flood forecasting and warning file for providing a flood forecasting warning for each zone by matching the location information of the zone with the flood risk of the zone; and a forecast warning file providing unit for providing the flood warning file in response to a request from a user terminal.
As described above, the efficiency of processing is increased by differently storing the location information for each of the plurality of spatial resolution levels and appropriately selecting and utilizing the location information according to the situation.

Description

Flood information providing device, and method

The present invention relates to an apparatus and method for providing flood information, and more particularly, to an apparatus and method for providing flood forecast or warning information for each region based on rainfall data.

Floods have taken up the highest frequency among natural disasters over the past 40 years, and since the 2000s, the number of occurrences is increasing due to climate change, with floods occurring seven times more than in the 1970s.

Since floods cause great damage to people's lives and property, many countries are operating systems that predict floods or generate warnings. For example, the Flood Forecasting Center (FFC) in the UK provides information on the risk of flooding by combining the probability of flooding and potential damage to rivers, tides, coasts, surface water, and groundwater. At this time, the probability of flooding is divided into 4 levels (very low, low, medium, and high), and the impact of flooding depends on the type of damage expected, such as the type of flooding, the possibility of flooding damage to roads and structures, and the possibility of damage to human life and property. It is divided into 4 levels (minimal, minor, significant, severe) and provides a flood risk matrix by combining each item.

In Korea, the Flood Control Office of the Ministry of Environment issues flood warnings and warnings at about 50 flood prediction points in the center of rivers to prepare for flood damage. However, the number of current flood forecast points is small compared to the national land area, so there is a limit to flood forecasting and flood response across the country.

Accordingly, there is a growing demand for a service that provides real-time flood warning information not only in municipalities across the country, but also in smaller towns and villages. However, in order to provide such a service, it is possible to quickly process data because a series of processes of calculating the flood risk of eup, myeon and dong across the country based on rainfall data generated periodically on a minute-by-minute basis and updating the data by reflecting it in the data are repeated. A solution is required.

Korea Patent Publication No. 2015-0031997 (2015.03.25.)

The present invention has been proposed to solve the problems of the prior art, and provides an apparatus and method for providing flood information that can quickly respond to requests from a plurality of user terminals when flood information is provided in units of administrative districts across the country. to do that for that purpose.

The above object is to provide a flood information providing apparatus for providing information on a flood forecast or warning according to an aspect of the present invention, a location information storage unit for storing location information for each zone with respect to a spatial range subject to a flood forecast warning ; a flood risk analysis unit that analyzes the flood risk for each zone based on rainfall data; a forecasting warning file generating unit for generating a flood forecasting warning file for providing a flood forecasting warning for each zone by matching the location information of the zone with the flood risk of the zone; and a flood warning file providing unit for providing the flood warning file in response to a request from a user terminal.

At this time, the user terminal superimposes and displays a basemap on the image rendered based on the flood forecast file, and the location information storage unit corresponds to the available scale level of the basemap according to a plurality of spatial resolution levels. The location information may be stored.

Meanwhile, the location information for each zone stored by the location information storage unit may be a set of location coordinates constituting a boundary of each zone, and the spatial resolution level may be determined based on the number of location coordinates corresponding to the zone.

In addition, the forecasting and warning file providing unit selects the flood forecasting file corresponding to the scale level requested by the user terminal from among a plurality of flood forecasting and warning files respectively generated based on the location information according to the plurality of spatial resolution levels. It can be provided to the user terminal.

In addition, the forecasting and warning file generator may generate the flood forecasting file according to a coordinate system of a basemap on which an image rendered based on the flood forecasting and alerting file in the user terminal is overlapped.

Meanwhile, the forecasting warning file generating unit may generate the flooding forecasting file so that only the zones in which the flood risk level is greater than or equal to a predetermined standard are included among the zones.

In this case, the flood forecast and warning file may be a KML or GML file.

In addition, the location information storage unit stores the location information corresponding to a plurality of time points in consideration of a change in the location of the zone over time, and the warning file providing unit, based on the location information according to the plurality of time points to select the flood forecast file corresponding to the time point selected by the user terminal from among a plurality of flood forecast and alert files generated respectively, and provide the selected flood forecast alert file to the user terminal.

In addition, the forecasting and warning file generating unit generates the flood forecasting and warning files in response to a predetermined period and storing them in a cloud server or a distributed server, and the forecasting and warning file providing unit, in response to a request from the user terminal, stores the flood forecasting and warning files. Predictive alert files can be provided.

In addition, the above object is provided in a flood information providing method according to another aspect of the present invention, comprising the steps of: storing location information for each zone with respect to a spatial range subject to flood prediction warning; receiving rainfall data for the spatial extent; analyzing the flood risk for each zone based on the rainfall data; generating a flood warning file for providing a flood warning warning for each zone by matching the location information of the zone with the flood risk level of the zone, respectively; receiving a request from a user terminal; and providing the flood forecasting warning file in response to the request of the user terminal.

As described above, according to the present invention, location information is differently stored for each of a plurality of spatial resolution levels, and processing efficiency is increased by appropriately selecting and utilizing the location information according to the situation.

In addition, according to the present invention, by creating a flood warning file in advance, it is possible to effectively respond to an increase in traffic due to an information request from a user terminal.

1 is a configuration diagram showing a schematic configuration of a flood information providing system according to an embodiment of the present invention;
2 is a block diagram showing the configuration of a flood information providing apparatus according to an embodiment of the present invention;
3 is a reference diagram for explaining an example in which the location information storage unit stores location information for each zone according to an embodiment of the present invention;
4 is a flowchart illustrating a method for providing flood information according to an embodiment of the present invention;
5 is an example of a flood information providing screen displayed on a user terminal according to an embodiment of the present invention; and
6 is another example of a flood information providing screen displayed on a user terminal according to an embodiment of the present invention.

Hereinafter, specific embodiments of the present invention will be described with reference to the drawings.

1 is a configuration diagram schematically showing the configuration of a flood information providing system according to an embodiment of the present invention. Referring to FIG. 1 , a flood information providing system 1 according to an embodiment of the present invention includes a flood information providing apparatus 100 and a user terminal 200 .

The flood information providing apparatus 100 analyzes the flood risk for a spatial range that is a target of a flood warning warning based on rainfall data, and generates and provides flood information related to a flood prediction and warning based on this.

Here, the rainfall data includes radar rainfall data or ground rainfall data. For reference, radar rainfall data refers to data converted into rainfall by various well-known rainfall estimation formulas, including the ZR relational expression, which is a relational expression between radar reflection intensity and rainfall intensity according to radar observation. It means the rainfall data observed from the ground observatory installed in

The flood information includes a flood warning stage according to the analyzed flood risk. The flood warning stage may be divided into, for example, severity, alertness, caution, safety, etc. in the order of high flood risk, but is not limited thereto and may be determined based on various criteria. In addition, the flood information may be divided into a plurality of zones according to a predetermined criterion in the spatial range of the flood warning warning target, and may be provided in units of each divided zone. For example, flood information may be provided in units of administrative districts, such as si, gun-gu, eup-myeon-dong.

The user terminal 200 is a terminal possessed by a user who receives flood information from the flood information providing apparatus 100 . The user terminal 200 is a variety of mobile devices, tablet PCs, desktops, etc., input means for receiving input from the user through a mouse, keyboard, button, keypad, touch screen, etc., and various images related to flood. A display means for displaying text information and a communication module for communication with the flood information providing device 100 are included. For reference, communication between the flood information providing device 100 and the user terminal 200 may be performed by various wireless or wired methods such as Wi-Fi, Bluetooth, LTE, 5G, and the like.

When the user terminal 200 requests flood information for a specific spatial range to the flood information providing apparatus 100 based on a user input, the flood information providing apparatus 100 responds to the request of the user terminal 200 . to provide a flood warning file.

The user terminal 200 performs rendering on the basis of the received flood warning file and displays the image, superimposed on the basemap. Here, the base map may be received from an external map service server (not shown) that provides a map service or the flood information providing device 100 as map data on the spatial range of the flood warning warning target, and may be received from a user terminal ( 200) may be implemented to use the built-in map data. An example of the map service may be a tile map service. For reference, the tile map service provides a map service by utilizing the tile cache structure in which the map image of the service target area is tiled and stored. Since there is a service type, a detailed description will be omitted for the sake of simplification of the description.

2 is a block diagram illustrating the configuration of an apparatus 100 for providing flood information according to an embodiment of the present invention. Hereinafter, a detailed configuration of the flood information providing apparatus 100 will be described with reference to FIG. 2 .

Referring to FIG. 2 , an apparatus 100 for providing flood information according to an embodiment of the present invention includes a location information storage unit 110 , a flood risk analysis unit 120 , a forecast warning file generator 130 , and a forecast warning file. and a provision unit 140 .

The location information storage unit 110 stores location information for each zone of the spatial range that is the subject of flood warning warning. In this case, the division of zones may be made according to various criteria according to regional units such as watershed boundaries as well as administrative district boundaries such as si, gun-gu, eup-myeon-dong, etc.

3 is a reference diagram for explaining an example in which the location information storage unit 110 stores location information for each zone according to an embodiment of the present invention, and is a hierarchical structure of a data table stored in the location information storage unit 110 examples can be found.

The location information storage unit 110 may store location information corresponding to different time points, respectively. Referring to FIG. 3 , an example in which the location information storage unit 110 stores data tables 310 , 320 , and 330 corresponding to each of 2017, 2018, and 2019 is shown. This is in consideration of changes in district classification and location information due to changes in administrative district establishment/integration/abolition and administrative district classification policies over time. For example, government agencies constantly revise and publish administrative district maps to reflect changes in administrative districts. The location information storage unit 110 may store and manage the location information corresponding to the zone boundary changed over time as described above for each time point.

Meanwhile, the location information for each zone refers to a set of location coordinates constituting the boundary of each zone. That is, the boundary of each region may be expressed in the form of a polygon as a set of a plurality of points. Accordingly, the location information storage unit 110 stores a plurality of location coordinates constituting the boundary of the corresponding zone for each zone.

When the location information storage unit 110 stores location information in units of 'city' of administrative districts, the data table contains records corresponding to Uijeongbu-si, Namyangju-si, Seoul, etc. with respect to the 'city' district, and the boundaries of each 'city' are defined in the data table. A plurality of position coordinates (Vertex) constituting are stored. For example, if it is assumed that the boundary of 'Uijeongbu City' is expressed as a set of 4000 points and the boundary of 'Namyangju City' is expressed as a set of 25000 points, the location information storage unit according to a specific spatial resolution 110 will store about 4000 location coordinates in response to 'Uijeongbu City' and 2500 location coordinates in response to 'Namyangju City'.

The location information storage unit 110 has the same form as storing location information for a 'city' as described above, and constitutes a boundary between each 'Gu' and 'Dong' for each 'Gu' and 'Dong' unit. By storing each set of location coordinates as records, the data table can be managed in a plurality of hierarchical structures corresponding to different administrative district units.

Meanwhile, the location information storage unit 110 may store location information according to a plurality of spatial resolution levels. Here, the spatial resolution level relates to how much precision each region is expressed, and the number of position coordinates corresponding to each region varies according to the spatial resolution level. For example, assuming that the spatial resolution level is divided into three stages and that the spatial resolution increases as the stage increases, when expressing the same 'Uijeongbu City', 50 is expressed in level 1, 200 is expressed in level 2, and 4000 in level 3 It can be expressed as a dog. That is, a high spatial resolution level is expressed by a larger number of position coordinates when expressing the same area, and can be expressed more precisely.

As such, the reason for storing the location information in a plurality of spatial resolution levels is to consider the scale level at which the user terminal 200 requests flood information. For example, when the user terminal 200 requests flood information on a nationwide basis, each zone is displayed in a small size on the screen, so it is unnecessary to precisely render the boundary of the zone using a large number of location coordinates. For example, when the user terminal 200 requests flood information on a nationwide basis, when comparing the rendering result using 2000 location coordinates in Seoul with the rendering result using 500 location coordinates, it is actually rendered in 2000. One is more precise, but since the city of Seoul is displayed small on the screen, it is almost impossible to identify with the naked eye. On the other hand, when the user terminal 200 requests flood information in units of 'dong', each area is displayed relatively large on the screen, so the boundary of the area needs to be precisely rendered.

In consideration of this, the location information storage unit 110 stores location information in a plurality of spatial resolution levels according to available scale levels of the basemap provided to the user terminal 200 . In this case, the available scale level of the basemap is related to a level at which the basemap can be zoomed in or zoomed out on the user terminal 200 . For example, when the available scale levels of the basemap exist from 1 to 6, the location information storage unit 110 makes the scale levels 1 to 2 correspond to the spatial resolution level 1, and the scale levels 3 and 4 are the spatial resolution level 2 For example, the scale levels 5 and 6 may store location information in three spatial resolution levels so as to correspond to the spatial resolution level 3 . Meanwhile, the above-described correspondence between the scale level and the spatial resolution level is an example, and the correspondence criterion may be variously changed. For example, location information according to six spatial resolution levels may be provided so that spatial resolution levels from scale levels 1 to 6 correspond one-to-one, or location information according to one spatial resolution level may be implemented to correspond to more scale levels. of course there is

Meanwhile, when classifying spatial resolution levels, there is a problem in how to reduce the number of position coordinates constituting each zone boundary. For example, assuming that Uijeongbu City is composed of about 4000 location coordinates at the highest spatial resolution level, the number should be reduced by selecting some of the 4000 location coordinates at the low spatial resolution level. In this case, it is possible to reduce the number by selecting the position coordinates of the sequence number at regular intervals. For example, if it is assumed that numbers 1 to 4000 are assigned to 4000 position coordinates, position coordinates of sequence numbers according to a predetermined interval can be selected, such as 1, 5, 9, 13..

Alternatively, the selection of the location coordinates constituting each zone boundary may be made based on the curvature formed by the adjacent location coordinates. When the boundary of a region is expressed in a polygonal form as a set of a plurality of position coordinates, a certain section is expressed as an almost straight line, so that the curvature formed by the adjacent location coordinates may be close to 0, whereas in some section, the curvature formed by the adjacent location coordinates This can appear very large. Accordingly, the spatial resolution level can be changed by selecting the position coordinates in proportion to the curvature according to the section in such a way that a relatively large number of position coordinates are extracted in a section having a large curvature and a small amount of position coordinates are extracted in a section having a small curvature.

3 shows an example in which data tables corresponding to the first to third spatial resolution levels are stored for each viewpoint, and a plurality of data tables are stored according to the type or division unit of a zone for each spatial resolution level. For reference, FIG. 3 shows an example of storing 'si, gun-gu', 'eup, myeon-dong', and 'watershed boundary' as separate data tables, but this is only an example, and it is further subdivided or integrated into one depending on the configuration of the data table Of course, it can be stored and managed as

The flood risk analysis unit 120 analyzes the flood risk for each zone in the spatial range that is the subject of the flood prediction warning based on the rainfall data. In this case, the rainfall data may be received from a server (not shown) of a related institution. For reference, the format of the received rainfall data is not limited, and data processed in various formats may be received. As an example of a received data format, in the case of radar rainfall, a grid structure RDR_CMP format provided by the Korea Meteorological Administration, and an AWS file in the case of ground rainfall may be mentioned. Examples of the Ministry of Environment radar-based data include RDR_COMP_ADJ_yyyyMMDDHHmm.RKDP.bin observed rainfall and RDR_QPF_FCST_yyyyMMDDHHmm.bin predicted rainfall.

The flood risk analysis unit 120 predicts the rainfall for each zone based on the radar rainfall data and/or the ground rainfall data, and calculates the flood risk by comparing the predicted rainfall and the rainfall reference value for flood forecasting and warning. . At this time, the rainfall reference value may be determined as the same value for all areas, but it may be determined as a different reference value for each area in consideration of various factors such as statistical information about past floods in the area, geographical conditions, facilities in the area, and drainage capacity. may be For example, a zone with a relatively low drainage capacity or a history of flooding in the past may apply a relatively lower rainfall threshold than a zone with a geographically low probability of flooding due to its excellent drainage capacity.

Meanwhile, as described above, the risk of flooding may be determined according to various pre-prepared criteria, such as classification into severity, alertness, caution, safety, and the like in the order of high.

For reference, the rainfall prediction may be performed by various known prediction methods, and is continuously performed according to a preset time interval in response to the periodic reception of rainfall data. On the other hand, rainfall prediction may be made based on rainfall data selected from radar rainfall data or ground rainfall data. , and predicting rainfall based on the synthesized data can improve the prediction accuracy.

The forecasting warning file generating unit 130 corresponds to the location information of each area stored in the location information storage unit 110 and the flood risk of the corresponding area calculated by the flood risk analysis unit 140 with each other to provide a flood prediction warning for each area. Create a flood warning file to provide Here, the flood warning file may take various formats, including a KML file, a GML file, and the like. For reference, KML is a Keyhole Markup Language, an XML-based markup language schema used in applications such as Google Earth Map, and GML is a Geography Markup Language (OGC) by the Open GIS Consortium. ) is an XML-based markup language schema developed by As described above, since KML and GML are well-known language schemas to those skilled in the art, detailed descriptions will be omitted for simplicity of description.

The flood warning file includes coordinate system, location coordinates of each zone corresponding to a node, fill color, transparency, and outline information (thickness, color) representing the zone. In this case, the forecasting warning file generating unit 130 may generate the flooding forecasting and warning files according to the coordinate system of the basemap on which the images rendered by the user terminal 200 are superimposed. For example, if the basemap follows the EPSG:5187 coordinate system, the flood forecast file may also be generated according to the EPSG:5187 coordinate system that is the same as the basemap. In this case, there is an advantage that a coordinate system conversion process essential for overlay between different coordinate systems can be omitted.

The warning file generating unit 130 selects the location information of the spatial resolution level corresponding to the scale level requested by the user terminal 200 from among the location information according to the plurality of spatial resolution levels stored in the location information storage unit 110, and A flood warning file can be created as a basis. For example, when the user terminal 200 requests flood information in a small-scale, nationwide unit, the spatial resolution level is relatively low. In other words, using location information with a small number of location coordinates, and when the user terminal 200 requests flood information in a large scale, a flood prediction file is generated using location information with a relatively higher spatial resolution level. do. When location information having a high spatial resolution level is used, a larger number of location coordinates are used to express an area, so that the user terminal 200 can render more precisely.

In this way, the predictive alert file generating unit 130 stores in advance a criterion regarding the spatial resolution level to be applied according to the scale level, and based on the location information of the spatial resolution level corresponding to the scale level requested by the user terminal 200 . to create a flood warning file.

In addition, the forecast warning file generation unit 130 may generate the flood forecast file only after a request is received from the user terminal 200, but based on the location information of a plurality of spatial resolution levels corresponding to a predetermined period. You can create and save each flood warning file. For example, if it is assumed that a flood forecast file is generated at a 10-minute period in consideration of a rainfall data reception period, a flood forecast file corresponding to each spatial resolution level is generated in a 10-minute period. If three spatial resolution levels exist, three flood warning files are generated every 10 minutes.

In this way, when generating and storing the flood forecast file in advance, the forecast alert file generating unit 130 may generate and store the flood forecast file for each point by using location information corresponding to a plurality of points in time. For example, as shown in FIG. 3 , when location information corresponding to 2017, 2018, and 2019 is stored, a flood forecast file may be generated by using location information corresponding to each year. If the flood forecast file is generated every 10 minutes, since files corresponding to three spatial resolution levels are generated for each year, 9 flood forecast files can be generated every 10 minutes. For example, if a typical end user inquires about flood warning information, it would be sufficient to search for information using the current administrative district, but researchers conduct simulation analysis based on rainfall data at the time of the past and review it closely. It may be necessary to utilize the administrative boundaries of

Meanwhile, the pre-generated flood warning file may be stored in a cloud server or distributed server such as cloud blob storage and content delivery network (CDN).

On the other hand, the forecasting warning file generating unit 130 may generate the flooding forecasting file including only the areas in which the flood risk calculated through the flood risk analysis unit 120 is greater than or equal to a predetermined criterion. For example, assuming that the flood risk level is divided into 4 levels: severe, warning, caution, and safety, only the areas corresponding to the severe, warning, and caution level are included in the flood forecast and warning file, and the area corresponding to the safety level is flood yes It can be excluded when creating an alert file. As described above, by including only a meaningful area that provides flood information substantially, processing efficiency can be promoted not only when generating a flood forecast file but also when rendering is performed on the user terminal 200 side.

The forecast and warning file providing unit 140 provides the user terminal 200 with the flood forecast file generated through the forecast and warning file generator 130 in response to the request of the user terminal 200 .

At this time, as described above, when the forecasting and warning file generating unit 130 generates and stores the flood forecasting file in advance regardless of the request of the user terminal 200 , the forecasting and warning file providing unit 140 provides the stored flood forecasting warning. You can select and provide an appropriate file among the files.

When requesting flood information, the user terminal 200 may specify a desired year according to which year classification is to be followed, and may request including a desired scale level. The forecast warning file providing unit 140 selects a flood forecast file corresponding to a corresponding year and a specific spatial resolution level in response to a request from the user terminal 200 and provides it to the user terminal 200 . For example, when a user requests flood information according to scale level 1 for zone classification according to 2019, the prediction warning file generating unit 140 sets the spatial resolution level corresponding to scale level 1 among files according to zone classification in 2019. A file generated based on the location information will be selected and provided to the user terminal 200 . To this end, the warning file providing unit 140 stores spatial resolution level information that is mapped to the available scale level of the basemap of the user terminal 200, and is mapped to the scale level requested by the user terminal 200 based on this information. A file according to the spatial resolution level can be selected and provided. On the other hand, when the user repeatedly enlarges and reduces the screen of the user terminal 200, the user terminal can reduce unnecessary network traffic by utilizing a file that has already been provided.

In this way, by storing and providing the flood prediction warning file in advance, even when the traffic due to the information request of the user terminal 200 increases, it is possible to effectively respond without delay or failure of the system.

The user terminal 200 receives the flood forecast file from the forecast and alert file providing unit 140, renders the image, and displays it overlaid on the base map having a predetermined scale level.

4 is a flowchart illustrating a method for providing flood information according to an embodiment of the present invention, and shows each execution step according to the method for providing flood information through the flood information providing system 1 of FIG. 1 .

Referring to FIG. 4 , it is premised that the flood information providing apparatus 100 stores location information for each zone with respect to the spatial range of the flood prediction warning target ( S10 ). As described above, it is possible to store location information such as unit areas corresponding to different time points, for example, 'si, gun-gu', 'eup-myeon-dong', 'watershed boundary', etc. in consideration of changes in boundaries over time, at this time the user terminal ( 200), the number of position coordinates constituting the boundary of each zone may be varied in consideration of the available scale level, and a plurality of spatial resolution levels may be stored.

When the flood information providing apparatus 100 receives rainfall data for a spatial range that is a target of flood prediction warning from a server of a related institution, it analyzes the flood risk for each zone based on this (S20, S30).

Next, the flood information providing device 100 generates a flood forecast file for providing a flood forecast warning for each zone by matching the stored location information for each zone with the flood risk of the zone, and sends it to the cloud server or distributed server. Save (S30). In this case, the flood information providing apparatus 100 may reduce unnecessary processing by generating a flood prediction warning file including only an area corresponding to a flood risk level greater than or equal to a predetermined criterion. In addition, as described above, a flood prediction warning file for each time point and/or each spatial resolution level can be generated and stored at a predetermined period.

When the user terminal 200 requests flood information from the flood information providing device 100, the flood information providing device 100 responds to the request, and the flood corresponding to the year requested by the user among the stored files and a specific spatial resolution level. Select and provide a warning file (S50, S60). In this case, the spatial resolution level of the file is determined corresponding to the zoom-in/zoom-out level of the user terminal 200 . For example, when the user terminal 200 zooms in to view at a large scale level, a file according to a high spatial resolution level using a relatively large number of location coordinates is selected, and, conversely, when zooming out and viewing at a small scale level, the precision is reduced. Since this is not a big problem, a file according to a lower spatial resolution level can be selected.

The user terminal 200 renders an image of the flood forecast file received from the flood information providing device 100, and displays it overlaid on a basemap received from an external map service server, etc. (S70 and S80). At this time, since it is obvious to those skilled in the art to render a format file such as KML or GML, a detailed description will be omitted for the sake of simplicity.

5 and 6 are examples of flood information providing screens displayed on the user terminal 200 .

First, referring to FIG. 5 , as an example in which flood information is provided by day in units of 'si, county,', the flood risk is classified into serious, alert, and cautionary stages, and different colors are expressed according to each stage.

Next, referring to FIG. 6 , an example in which flood information corresponding to each of 10 minutes, 30 minutes, and 60 minutes in the future is provided in units of 'dong' is shown. For reference, in FIG. 6, since flood information is provided at a large scale level than the case of FIG. 5 in which flood information is provided in units of 'city, county' It can be expected that the flood forecast file created as a basis is selected.

Meanwhile, each step described in FIG. 4 may be appropriately changed or omitted depending on circumstances.

For example, in FIG. 4 , a case in which a flood forecast file is generated and stored in advance has been described, but it may be implemented to generate a file when a request from the user terminal 200 is received without generating it in advance. However, even at this time, the generation of the flood forecast warning file based on the location information according to the spatial resolution level corresponding to the time point and the scale level requested by the user terminal 200 is the same.

As described above, according to the system for providing flood information, the apparatus for providing flood information, and the method according to the present invention, it is possible to increase processing efficiency by differently storing location information for each of a plurality of spatial resolution levels and appropriately selecting and utilizing them according to the situation. can

Meanwhile, the flood information providing method according to the present invention is written as a program that can be executed on a computer and can be implemented in various recording media such as magnetic storage media, optical reading media, and digital storage media.

Implementations of the various techniques described herein may be implemented in digital electronic circuitry, or in computer hardware, firmware, software, or combinations thereof. Implementations may be implemented for processing by, or controlling the operation of, a data processing device, eg, a programmable processor, computer, or number of computers, a computer program product, ie an information carrier, eg, a machine readable storage It may be implemented as a computer program recorded on an apparatus (computer readable medium). A computer program, such as the computer program(s) described above, may be written in any form of programming language, including compiled or interpreted languages, and may be written as a standalone program or in a module, component, subroutine, or computing environment. It can be deployed in any form, including as other units suitable for use in A computer program may be deployed to be processed on one computer or multiple computers at one site or distributed across multiple sites and interconnected by a communications network.

Processors suitable for processing a computer program include, by way of example, both general and special purpose microprocessors, and any one or more processors of any kind of digital computer. In general, a processor will receive instructions and data from read only memory or random access memory or both. Elements of a computer may include at least one processor that executes instructions and one or more memory devices that store instructions and data. In general, a computer may include one or more mass storage devices for storing data, for example magnetic, magneto-optical disks, or optical disks, receiving data from, sending data to, or both. may be combined to become Information carriers suitable for embodying computer program instructions and data are, for example, semiconductor memory devices, for example, magnetic media such as hard disks, floppy disks and magnetic tapes, Compact Disk Read Only Memory (CD-ROM). ), optical recording media such as DVD (Digital Video Disk), magneto-optical media such as optical disk, ROM (Read Only Memory), RAM (RAM) , Random Access Memory), flash memory, EPROM (Erasable Programmable ROM), EEPROM (Electrically Erasable Programmable ROM), and the like. Processors and memories may be supplemented by, or included in, special purpose logic circuitry.

In addition, the computer-readable medium may be any available medium that can be accessed by a computer, and may include a computer storage medium.

While this specification contains numerous specific implementation details, they should not be construed as limitations on the scope of any invention or claim, but rather as descriptions of features that may be specific to particular embodiments of particular inventions. should be understood Certain features that are described herein in the context of separate embodiments may be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment may also be implemented in multiple embodiments, either individually or in any suitable subcombination. Furthermore, although features operate in a particular combination and may be initially depicted as claimed as such, one or more features from a claimed combination may in some cases be excluded from the combination, the claimed combination being a sub-combination. or a variant of a sub-combination.

Likewise, although acts are depicted in the figures in a particular order, it should not be construed that all acts shown must be performed or that such acts must be performed in the specific order or sequential order shown in order to achieve desirable results. In certain cases, multitasking and parallel processing may be advantageous. Further, the separation of the various device components of the above-described embodiments should not be construed as requiring such separation in all embodiments, and the program components and devices described may generally be integrated together into a single software product or packaged into multiple software products. You have to understand that you can.

On the other hand, the embodiments of the present invention disclosed in the present specification and drawings are merely presented as specific examples to aid understanding, and are not intended to limit the scope of the present invention. It will be apparent to those of ordinary skill in the art to which the present invention pertains that other modifications based on the technical spirit of the present invention can be implemented in addition to the embodiments disclosed herein.

100: flood information providing device 110: location information storage unit
120: flood risk analysis unit 130: forecast warning file generation unit
140: warning file providing unit 200: user terminal

Claims (10)

In the flood information providing device for providing information about the flood forecast or warning,
a location information storage unit for storing location information for each zone for a spatial range subject to flood warning;
a flood risk analysis unit that analyzes the flood risk for each zone based on rainfall data;
a forecasting warning file generating unit for generating a flood forecasting and warning file for providing a flood forecasting warning for each zone by matching the location information of the zone with the flood risk of the zone; and
and a forecast warning file providing unit for providing the flood warning file in response to a request from a user terminal,
The user terminal displays a superimposed basemap on the image rendered based on the flood warning file,
The location information storage unit stores the location information according to a plurality of spatial resolution levels corresponding to the available scale levels of the basemap,
The location information for each zone stored by the location information storage unit is a set of location coordinates constituting the boundary of each zone, and the spatial resolution level is determined based on the number of the location coordinates corresponding to the zone, and the spatial resolution Flood information characterized in that the level is changed by selecting a predetermined number of the location coordinates in proportion to the curvature formed by the location coordinates adjacent to each section of the border of the zone from a set of location coordinates constituting the boundary of the zone Device.
delete delete According to claim 1,
The forecasting warning file providing unit selects the flood forecasting and warning files corresponding to the scale level requested by the user terminal from among a plurality of flood forecasting and warning files respectively generated on the basis of the location information according to the plurality of spatial resolution levels, the user Flood information providing device, characterized in that provided to the terminal.
According to claim 1,
The flood information providing device, characterized in that the flood warning file generation unit generates the flood warning file according to a coordinate system of a basemap on which an image rendered based on the flood prediction and warning file in the user terminal is overlapped.
According to claim 1,
The warning file generation unit,
The flood information providing apparatus according to claim 1, wherein the flood warning file is generated so that only areas in which the flood risk is greater than or equal to a predetermined standard are included among the areas.
According to claim 1,
The flood information providing device, characterized in that the flood warning file is a KML or GML file.
According to claim 1,
The location information storage unit stores the location information corresponding to a plurality of time points in consideration of a change in the location of the zone over time,
The forecast and warning file providing unit selects the flood forecast file corresponding to the time selected by the user terminal from among a plurality of flood forecast and warning files respectively generated based on the location information according to the plurality of time points, and provides the selected file to the user terminal Flood information providing device, characterized in that.
According to claim 1,
The forecast warning file generation unit generates the flood forecast file in response to a predetermined period and stores it in a cloud server or a distributed server,
The flood information providing unit, characterized in that the flood information providing unit, in response to the request of the user terminal to provide the stored flood warning file.
storing, by the flood information providing device, location information for each zone with respect to the spatial range of the flood prediction warning target;
receiving, by the flood information providing device, rainfall data for the spatial range;
analyzing, by the flood information providing device, the flood risk for each zone based on the rainfall data;
generating, by the flood information providing device, a flood warning file for providing a flood warning for each zone by matching the location information of the zone with the flood risk of the zone, respectively;
receiving, by the flood information providing device, a request from a user terminal;
providing, by the flood information providing device, the flood forecasting warning file in response to a request from the user terminal; and
and displaying, by the user terminal, a basemap superimposed on an image rendered based on the flood warning file,
The storing of the location information for each zone includes storing the location information according to a plurality of spatial resolution levels corresponding to the available scale levels of the basemap,
The location information for each zone is a set of location coordinates constituting the boundary of each zone, the spatial resolution level is determined based on the number of the location coordinates corresponding to the zone, and the spatial resolution level is the boundary of the zone. Flood information providing method, characterized in that the selected number of the location coordinates are changed in proportion to the curvature formed by the adjacent location coordinates for each section of the boundary of the zone from a set of constituting location coordinates.

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