KR102342929B1 - Device and method for analyzing accident vulnerability area by analyzing accident occurrence pattern - Google Patents

Abstract

The present invention relates to an apparatus and method for analyzing an accident vulnerable area through an accident occurrence pattern analysis, and collects basic data including structure, fire response data and geographic data according to a specific risk in a specific area, and uses the basic data to predict the structure and fire The evacuation data set construction unit that builds the evacuation data set for The emergency facility location is determined by the evacuation area status derivation unit that derives the available area status, the rescue and fire response prediction data according to the amount of change in the rescue and fire response data, and comparative analysis of the rescue and fire response prediction data and the available area status. The emergency facility location adequacy evaluation unit that evaluates adequacy and the emergency facility location determination unit that overlaps geographic data and available area status to detect areas that cannot be dispatched and determines the location of additional emergency facilities according to the evaluation of areas where dispatch is not possible and adequacy include

Description

Accident vulnerability analysis device and method through accident pattern analysis

The present invention relates to an accident vulnerability analysis technology through accident occurrence pattern analysis, and more particularly, it analyzes the occurrence of an accident to generate predictive data, evaluates whether the location of an emergency facility installed is appropriate, and additionally requires the installation of emergency facilities. It relates to an accident vulnerability analysis apparatus and method through an accident occurrence pattern analysis that can determine a location.

Urban development refers to a series of intentional actions to develop in accordance with changes in the city, and the dictionary meaning is that it controls and reorganizes population and industries around or away from an existing city, expands the existing city, and builds a new city. However, unlike general urban development, an innovative city is a government-led development, and is created according to policy needs.

When changes occur in the urban structure, such as the development of innovative cities or the relocation of public institutions, new changes occur due to the migration of the existing population and the inflow of new populations. The movement of population brought about by these changes in urban structure also causes changes in people's behavior patterns.

Among the behavior patterns of these people, there is an accident occurrence pattern. In the case of accidents, they occur in places where people mainly gather, and if we check them in time series, it is possible to derive changes in accident patterns. In addition, there is a need to analyze accidents by type because the places where many accidents occur are different depending on the type of accident.

Korean Patent No. 10-1835576 (2018.02.28) relates to a system for non-deterministic disambiguation and qualitative entity matching of geographic location data for a business entity, (a) receiving data describing a location, (b) Estimate an address associated with a location from the data, (c) identify the segment of the road that contains the address, (d) define a polygon with a boundary that encloses a geographic area in the vicinity of the segment, and (e) define a polygon within the polygon. obtaining the geographic coordinates of a point, (f) identifying an address in the geographic coordinates, and (g) identifying an entity associated with the address in the geographic coordinates.

Korean Patent Registration No. 10-1724259 (Aug. 4, 2017) relates to a method for analyzing an area of interest by an integrated disaster safety management system, and the present invention provides an integrated disaster safety based on spatial information data based on a two-dimensional or three-dimensional map. It relates to a method for analyzing an area of interest by a system for managing as a system, comprising: a smart mobile device (1) in which a disaster information collection app is installed to collect and transmit disaster information such as photos and videos; a smart big board server (2) in which disaster information transmitted from the smart mobile device (1) is stored; In the method of analyzing an area of interest by a disaster safety integrated management system comprising a smart big board screen (3) on which disaster information stored in the smart big board server (2) is displayed on a map together with time and location information, the smart big board The process of executing the server (2) and the smart big board screen (3), and the real-time disaster scene video, disaster scene VOD, and disaster scene images from the smart mobile device (1) of the investigator dispatched to the site are sent to the smart big board server ( 2), and the smart big board screen 3 is a situation board for detecting and managing an overall disaster, and the disaster information image transmitted from the smart mobile device 1 on the initial screen and real-time weather information , CCTV image, and when selecting from among contents consisting of big data by SNS, the selected contents are provided together with time information and location information, so a content display unit in a place corresponding to the location information on the map of the smart big board screen 3 (32) is displayed in real time, and when the disaster information image transmitted from the smart mobile device 1 is selected as the content, the GPS information built into the device is transmitted to the smart big board server 1, so that the content display unit 32 ) of the moving section is displayed by the route display unit 34, and the location movement path is mapped and expressed. is composed of

Korean Patent No. 10-1835576 (2018.02.28) Korean Patent Registration No. 10-1724259 (2017.04.3)

An embodiment of the present invention is to provide an accident vulnerability analysis apparatus and method through accident occurrence pattern analysis capable of deriving the status of a mobilization area by constructing a mobile network by performing network analysis on geographic data.

An embodiment of the present invention is to provide an apparatus and method for analyzing an accident vulnerable spot through an accident occurrence pattern analysis that can evaluate the appropriateness of an emergency facility location through rescue and fire response prediction data analysis.

An embodiment of the present invention is to provide an accident vulnerability analysis apparatus and method through an accident occurrence pattern analysis capable of detecting a non-mobile area and determining the location of an additional emergency facility according to the appropriateness evaluation of the location of the emergency facility.

Among the embodiments, the accident vulnerability analysis device through the accident occurrence pattern analysis collects basic data including structure, fire response data, and geographic data according to a specific risk in a specific area, and uses the basic data to predict the structure and fire Dispatch data set construction unit to build with the evacuation data set, perform network analysis on the geographic data to build a mobile network, and from the mobile network, the evacuation data set and the location of the emergency facility to the specific area within a specific time An evacuation area status derivation unit that derives the status of possible evacuation areas, calculates rescue and fire response prediction data according to the amount of change in the rescue and fire response data, and compares and analyzes the rescue and fire response prediction data with the evacuation area status The emergency facility location adequacy evaluation unit that evaluates the appropriateness of the location of the emergency facility by overlapping the geographic data and the status of the available area to detect an area where emergency facilities cannot be dispatched It includes an emergency facility location determination unit to determine the location of the.

When the rescue and fire response data is collected, the rescue data set construction unit may collect data and build a dataset by separating the rescue and fire response data for each cause.

The dispatchable area status derivation unit may adjust the specific time based on the urgency for each cause of the rescue and fire.

The mobile network includes a link connecting the first region and the second region to each other and a node formed at the intersection of the links. If the node is not formed at the intersection, it is defined that movement between the links associated with the intersection is impossible. can be

The mobilization area status derivation unit may determine the link resistance in the link according to the thickness of the link and determine the resistance of the node according to the standby time and standby period in the node.

The dispatchable area status derivation unit connects the dispatchable areas that are the farthest from the emergency facility location among the available dispatchable areas within a specific time connected to the link and the node based on the location of the emergency facility to establish a boundary. formed, and the inside of the boundary can be derived as the status of the dispatchable area.

The emergency facility location adequacy evaluation unit arranges the rescue and fire evacuation prediction data in spatial coordinates using a kernel density estimation method, and arranges the dispatchable area status in spatial coordinates through overlapping on the spatial coordinates. It is possible to calculate an area that does not include the area in which the rescue and fire response prediction data are displayed, and evaluate the appropriateness of the location of the emergency facility in proportion to the number of rescue and fire response prediction data not included in the available area status. .

The emergency facility location determination unit may determine the coverage of the additional emergency facility according to the size of the additional emergency facility, and determine the location of the additional emergency facility with preference to an area having a low evaluation of the appropriateness.

In embodiments, the apparatus for analyzing a vulnerable spot through accident occurrence pattern analysis may further include an emergency facility location correction unit that deletes or changes the location of the emergency facility according to the coverage of the emergency facility and the additional emergency facility.

Among the embodiments, the accident vulnerability analysis method through the accident occurrence pattern analysis collects basic data including structure, fire response data and geographic data according to a specific risk in a specific area, and uses the basic data to predict the structure and fire Dispatch data set construction step of constructing a dispatch data set, a network analysis is performed on the geographic data to build a mobile network, and the mobile network, the dispatch data set, and the emergency facility location are dispatched within a specific time for the specific area. The evacuation area status derivation step to derive the status of possible evacuation areas, calculate the rescue and fire response prediction data according to the amount of change in the rescue and fire response data, and compare and analyze the rescue and fire response prediction data with the evacuation area status The emergency facility location adequacy evaluation step of evaluating the appropriateness of the location of the emergency facility by doing so, overlapping the geographic data and the status of the available area to detect an area that cannot be dispatched, and additional emergency facilities according to the evaluation of the area that cannot be dispatched and the appropriateness It may include an emergency facility location determination step of determining the location of the.

The disclosed technology may have the following effects. However, this does not mean that a specific embodiment should include all of the following effects or only the following effects, so the scope of the disclosed technology should not be understood as being limited thereby.

Accident vulnerability analysis apparatus and method through accident occurrence pattern analysis according to an embodiment of the present invention can derive the current state of the dispatchable area by constructing a mobile network by performing network analysis on geographic data.

The apparatus and method for analyzing an accident vulnerable area through an accident occurrence pattern analysis according to an embodiment of the present invention can evaluate the adequacy of the location of an emergency facility through analysis of rescue and fire response prediction data.

The apparatus and method for analyzing an accident vulnerable area through an accident occurrence pattern analysis according to an embodiment of the present invention may detect a non-mobile area and determine the location of an additional emergency facility according to the appropriateness evaluation of the location of the emergency facility.

1 is a view for explaining an accident vulnerability analysis system through an accident occurrence pattern analysis according to an embodiment of the present invention.
FIG. 2 is a block diagram illustrating the physical configuration of an accident vulnerability analysis apparatus through an accident occurrence pattern analysis in FIG. 1 according to an embodiment.
3 is a block diagram illustrating a functional configuration of an accident vulnerability analysis apparatus through an accident occurrence pattern analysis in FIG. 1 according to an embodiment.
4 is a view for explaining a process of determining the location of an additional emergency facility of the accident vulnerability analysis apparatus through the accident occurrence pattern analysis in FIG. 1 according to an embodiment.
5 is a view for explaining data separated for each cause of a structure and a fire according to an embodiment.
6 is a view for explaining a structure and fire response data according to an embodiment.
7 is a diagram for explaining definitions of links and nodes.
8 is a view for explaining the status of a dispatchable area according to an embodiment.
9 is a diagram illustrating a kernel density estimation method according to an embodiment.

Since the description of the present invention is merely an embodiment for structural or functional description, the scope of the present invention should not be construed as being limited by the embodiment described in the text. That is, since the embodiment may have various changes and may have various forms, it should be understood that the scope of the present invention includes equivalents capable of realizing the technical idea. In addition, since the object or effect presented in the present invention does not mean that a specific embodiment should include all of them or only such effects, it should not be understood that the scope of the present invention is limited thereby.

On the other hand, the meaning of the terms described in the present application should be understood as follows.

Terms such as “first” and “second” are for distinguishing one component from another, and the scope of rights should not be limited by these terms. For example, a first component may be termed a second component, and similarly, a second component may also be termed a first component.

When a component is referred to as being “connected to” another component, it may be directly connected to the other component, but it should be understood that other components may exist in between. On the other hand, when it is mentioned that a certain element is "directly connected" to another element, it should be understood that the other element does not exist in the middle. Meanwhile, other expressions describing the relationship between elements, that is, "between" and "between" or "neighboring to" and "directly adjacent to", etc., should be interpreted similarly.

The singular expression is to be understood as including the plural expression unless the context clearly dictates otherwise, and terms such as "comprises" or "have" refer to the embodied feature, number, step, action, component, part or these It is intended to indicate that a combination exists, and it should be understood that it does not preclude the possibility of the existence or addition of one or more other features or numbers, steps, operations, components, parts, or combinations thereof.

In each step, identification numbers (eg, a, b, c, etc.) are used for convenience of description, and identification numbers do not describe the order of each step, and each step clearly indicates a specific order in context. Unless otherwise specified, it may occur in a different order from the specified order. That is, each step may occur in the same order as specified, may be performed substantially simultaneously, or may be performed in the reverse order.

The present invention can be embodied as computer-readable codes on a computer-readable recording medium, and the computer-readable recording medium includes all types of recording devices in which data readable by a computer system is stored. . Examples of the computer-readable recording medium include ROM, RAM, CD-ROM, magnetic tape, floppy disk, optical data storage device, and the like. In addition, the computer-readable recording medium is distributed in a computer system connected to a network, so that the computer-readable code can be stored and executed in a distributed manner.

All terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the present invention belongs, unless otherwise defined. Terms defined in general used in the dictionary should be interpreted as having the meaning consistent with the context of the related art, and cannot be interpreted as having an ideal or excessively formal meaning unless explicitly defined in the present application.

1 is a view for explaining an accident vulnerability analysis system 100 through an accident occurrence pattern analysis according to an embodiment of the present invention.

Referring to FIG. 1 , the accident vulnerability analysis system 100 through the accident occurrence pattern analysis may include the user terminal 110 , the accident vulnerability analysis device 130 through the accident occurrence pattern analysis, and the database 150 .

The user terminal 110 may correspond to a computing device that checks and manages data generated and analyzed in the process of determining the location of the additional emergency facility, and may be implemented as a smartphone, a laptop computer, or a computer, but is not necessarily limited thereto. Also, it may be implemented in various devices such as a tablet PC. The user terminal 110 may be connected to the accident vulnerable spot analysis device 130 through the accident occurrence pattern analysis through a network, and the plurality of user terminals 110 simultaneously with the accident vulnerability analysis device 130 through the accident occurrence pattern analysis can be connected

The accident vulnerability analysis device 130 through the accident occurrence pattern analysis may be implemented as a server corresponding to a computer or program that builds a dispatch data set and determines the location of an additional emergency facility. The accident vulnerability analysis apparatus 130 through the accident occurrence pattern analysis may be wirelessly connected to the user terminal 110 through Bluetooth, WiFi, a communication network, etc., and may exchange data with the user terminal 110 through the network.

The database 150 may correspond to a storage device for storing various types of information required in the process of constructing a dispatch data set and determining the location of an additional emergency facility. In addition, the database 150 stores information collected or processed in various forms in the process of the accident vulnerability analysis device 130 building a dispatch data set and determining the location of additional emergency facilities through accident occurrence pattern analysis. can

2 is a block diagram for explaining the physical configuration of the accident vulnerability analysis apparatus 130 through the accident occurrence pattern analysis in FIG. 1 according to an embodiment.

Referring to FIG. 2 , the accident vulnerability analysis apparatus 130 through the accident occurrence pattern analysis may be implemented including a processor 210 , a memory 230 , a user input/output unit 250 , and a network input/output unit 270 . .

The processor 210 may execute a procedure for performing an operation in the process of establishing a dispatch data set and determining the location of an additional emergency facility, and may manage the memory 230 that is read or written throughout the process. Also, it is possible to schedule a synchronization time between the volatile memory and the nonvolatile memory in the memory 230 . The processor 210 can control the overall operation of the accident vulnerability analysis device 130 through the accident occurrence pattern analysis, and is electrically connected to the memory 230 , the user input/output unit 250 and the network input/output unit 270 . You can control the data flow between them. The processor 210 may be implemented as a CPU (Central Processing Unit) of the accident vulnerability analysis device 130 through the accident occurrence pattern analysis.

The memory 230 is implemented as a non-volatile memory, such as a solid state drive (SSD) or a hard disk drive (HDD), and is an auxiliary memory used to store overall data required for the accident vulnerability area analysis device 130 through accident occurrence pattern analysis. It may include a device, and may include a main memory implemented as a volatile memory such as random access memory (RAM).

The user input/output unit 250 may include an environment for receiving a user input and an environment for outputting specific information to the user. For example, the user input/output unit 250 may include an input device including an adapter such as a touch pad, a touch screen, an on-screen keyboard, or a pointing device, and an output device including an adapter such as a monitor or a touch screen. In one embodiment, the user input/output unit 250 may correspond to a computing device accessed through remote access, and in such a case, the accident vulnerability analysis device 130 through the accident occurrence pattern analysis may be performed as a server.

The network input/output unit 270 includes an environment for connecting with an external device or system through a network, for example, a local area network (LAN), a metropolitan area network (MAN), a wide area network (WAN) and a VAN (VAN). It may include an adapter for communication such as Value Added Network).

3 is a block diagram for explaining the functional configuration of the accident vulnerability analysis apparatus 130 through the accident occurrence pattern analysis in FIG. 1 according to an embodiment.

Referring to FIG. 3 , the accident vulnerability analysis device 130 through the accident occurrence pattern analysis includes a dispatch data set construction unit 310 , a dispatchable area status derivation unit 320 , an emergency facility location adequacy evaluation unit 330 , and an emergency It may include a facility location determination unit 340 , an emergency facility location correction unit 350 , and a control unit 360 .

The dispatch data set construction unit 310 may collect basic data including rescue, fire dispatch data, and geographic data according to a specific risk in a specific area, and construct the basic data as a dispatch data set for prediction of rescue and fire. . For example, rescue and fire response data according to a specific risk in a specific area may be response history data according to a type of rescue and fire occurring in a specific area. A specific hazard may be, for example, a hazard that requires an action, such as an explosion, collapse, car accident, hardship, mountain disappearance, being trapped in an elevator or catching an animal. For example, the dispatch data set building unit 310 may collect basic data and store it in a database, so that it can be easily utilized in the process of performing the procedure of the accident vulnerability analysis device 130 through accident occurrence pattern analysis. Data can be cleaned and processed.

In an embodiment, when collecting rescue and fire response data, the dispatch data set construction unit 310 may collect data and build a dataset by separating them for each cause of the rescue and fire. 5 is a diagram for explaining separated data for each cause of a structure and fire according to an embodiment. Referring to FIG. 5 , the dispatch data set construction unit 310 separates the data for each cause of the structure and the fire and separates the cause. It is possible to collect data on the number of cases and the number of people dispatched to the cause. 6 is a view for explaining structure and fire response data according to an embodiment. Referring to FIG. 6 , the dispatch data set construction unit 310 may collect rescue and fire response data and arrange it in space. .

The dispatchable area status derivation unit 320 performs network analysis on geographic data to construct a mobile network, and from the mobile network, dispatch data set, and emergency facility location to a specific area within a specific time can be derived For example, the dispatchable area status derivation unit 320 may derive an area that can be dispatched within a specific time set by the designer based on the location of the emergency facility as the dispatchable area status. Geographic data can be maps that include roads and terrain.

In an embodiment, the dispatchable area status derivation unit 320 may adjust a specific time based on the degree of urgency for each cause of the rescue and fire. For example, the dispatchable area status derivation unit 320 may set a specific time to 10 minutes when the reason for dispatch is a low-urgency lock or unlock, and when the reason for dispatch is a fire with a high degree of urgency, a specific time is set. It can be set to 3 minutes. For example, according to the degree of urgency of the reason for dispatch, the state of the dispatchable area determined by the dispatchable area status derivation unit 320 may be changed.

The mobile network includes a link connecting the first region and the second region to each other and a node formed at the intersection of the links, and if the node is not formed at the intersection, it can be defined as impossible to move between the links associated with the intersection. have. 7 is a diagram for explaining the definition of a link and a node. Referring to FIG. 7 , a link may be a movable passage, and a node may be a point at which movement between links is possible by connecting links. Even if there is a connection between links, if there is no node at the intersection between the links, movement between the links is impossible.

In an embodiment, the dispatchable area status derivation unit 320 may determine the link resistance in the link according to the thickness of the link and determine the resistance of the node according to the standby time and standby period in the node. For example, when the thickness of the link is thick, the dispatchable area status deriving unit 320 may determine the link resistance to be low. When the thickness of the link is thick, many moving means can move through the link at once. For example, when the waiting time at a node is long, the dispatchable area status derivation unit 320 may determine a high resistance at the node. For example, when the standby period at the node is short, the dispatchable area status derivation unit 320 may determine a high resistance at the node. As another example, the dispatchable area status derivation unit 320 may determine the resistance to infinity for points that are not connected by nodes between links.

In one embodiment, the dispatchable area status derivation unit 320 is Based on the location of the emergency facility, among the areas that can be dispatched within a specific time connected by links and nodes, the most remote areas that can be dispatched from the location of the emergency facility are connected to each other to form a boundary, and the inside of the boundary is derived as the status of the dispatchable area. can do. 8 is a view for explaining the status of the dispatchable area according to an embodiment. Referring to FIG. 8, FIG. 8a is a diagram showing the available dispatch area status without network analysis, and FIG. 8b is an embodiment of the present invention. Using network analysis, the current status of the dispatchable area was derived. For example, the dispatchable area status derivation unit 320 may determine a distance that can be dispatched within a specific time and form a boundary corresponding to the distance.

The emergency facility location adequacy evaluation unit 330 calculates rescue and fire response prediction data according to the amount of change in rescue and fire response data, and compares and analyzes the rescue and fire response prediction data with the available areas to evaluate the adequacy of the emergency facility location. can

In one embodiment, the emergency facility location adequacy evaluation unit 330 arranges the rescue and fire response prediction data in spatial coordinates using the kernel density estimation method, and arranges the status of the dispatchable area in the spatial coordinates to overlap the spatial coordinates. Through this, it is possible to calculate the area where the available area status does not include the area where the rescue and fire service prediction data are displayed, and evaluate the adequacy of the emergency facility location in proportion to the number of rescue and fire service prediction data that are not included in the available area status. have. For example, the emergency facility location adequacy evaluation unit 330 may be arranged in spatial coordinates using a kernel density estimation method that is displayed as a probabilistic distribution based on surrounding values. 9 is a view for explaining a kernel density estimation method according to an embodiment. Referring to FIGS. 6 and 9 , the emergency facility location adequacy evaluation unit 330 arranges the rescue and fire response prediction data as dots in space. And it can be expressed in space in the form of a contour line that can display the density of the structure and fire response prediction data using the kernel density estimation method. For example, the emergency facility location adequacy evaluation unit 330 may derive an area in which evacuation is impossible in a format of excluding the status of an evacuation area from a space in which rescue and fire response prediction data are displayed.

For example, the emergency facility location adequacy evaluation unit 330 may evaluate the appropriateness of the emergency facility location according to [Equation 1] below.

[Equation 1]

는 출동가능 지역 현황에 포함되지 않는 구조 및 화재 출동 데이터의 개수이다.)(Where S is the appropriate index of the location of emergency facilities, N is the number of rescue and fire response prediction data that are not included in the available area status, M is the total number of rescue and fire response prediction data,

is the number of rescue and fire response data that are not included in the status of evacuation areas.)

For another example, the emergency facility location adequacy evaluation unit 330 may evaluate the appropriateness of the emergency facility location in proportion to the distance from the outer boundary of the rescue and fire response prediction data not included in the available area status.

The emergency facility location adequacy evaluation unit 330 may evaluate the appropriateness of the emergency facility location for each region. For example, the emergency facility location adequacy evaluation unit 330 may evaluate the appropriateness of the emergency facility location for each region, structure, and fire cause.

The emergency facility location determining unit 340 overlaps the geographic data and the status of the dispatchable area to detect the non-mobile area, and may determine the location of the additional emergency facility according to the evaluation of the non-mobile area and appropriateness. For example, the emergency facility location determination unit 340 may detect an area excluding the status of the dispatchable area from the geographic data as the non-mobile area. For example, the emergency facility location determination unit 340 may determine the location of the additional emergency facility so that the non-mobile area and the location of the additional emergency facility do not overlap.

In an embodiment, the emergency facility location determination unit 340 may determine the coverage of the additional emergency facility according to the size of the additional emergency facility, and determine the location of the additional emergency facility with preference to an area having a low evaluation of adequacy. For example, the emergency facility location determining unit 340 may determine the coverage to be wide when an additional emergency facility is establishing a means to move quickly through a mobile network.

The emergency facility location correction unit 350 may delete or change the location of the emergency facility according to the coverage of the emergency facility and the additional emergency facility. For example, the emergency facility location correction unit 350 determines the coverage of the existing emergency facilities, and if there is an overlap between the coverages of the existing emergency facilities, the location of the emergency facility is adjusted so that the overlapping portion can be minimized. can be changed

In one embodiment, the emergency facility location correction unit 350 may change the location of the emergency facility in a direction to reduce the overlapping portion of the coverage of the existing emergency facilities and expand the available area according to the status of the dispatchable area.

The control unit 360 controls the overall operation of the accident vulnerability analysis apparatus 130 through the analysis of the accident occurrence pattern, and the dispatch data set construction unit 310, the dispatchable area status derivation unit 320, the emergency facility location adequacy evaluation unit 330 , a control flow or data flow between the emergency facility location determination unit 340 and the emergency facility location correction unit 350 may be managed.

4 is a view for explaining a process of determining the location of an additional emergency facility of the accident vulnerable spot analysis apparatus 130 through the accident occurrence pattern analysis in FIG. 1 according to an embodiment.

Referring to Figure 4, the accident vulnerability analysis device 130 through the accident occurrence pattern analysis through the dispatch data set construction unit 310, the structure according to a specific risk in a specific area, fire response data and a basis including geographic data It is possible to collect data and build a dispatch data set for rescue and fire prediction using basic data (S410).

The accident vulnerability analysis device 130 through the accident occurrence pattern analysis performs network analysis on geographic data through the dispatchable area status derivation unit 320 to build a mobile network, and the mobile network, dispatch data set, and emergency facility location From this, it is possible to derive the status of an evacuation area that can be dispatched within a specific time for a specific area (S430).

The accident vulnerability analysis device 130 through the accident occurrence pattern analysis calculates the rescue and fire response prediction data according to the amount of change in the rescue and fire response data through the emergency facility location adequacy evaluation unit 330, and the rescue and fire response prediction data It is possible to evaluate the adequacy of the location of the emergency facility by comparing and analyzing the status of the emergency facility and the area available for dispatch (S450).

Accident vulnerability analysis device 130 through accident occurrence pattern analysis, through the emergency facility location determining unit 340, overlaps geographic data and the status of the dispatchable area to detect the non-mobile area, and to evaluate the non-mobile area and appropriateness Accordingly, the location of the additional emergency facility may be determined (S470).

Although the above has been described with reference to preferred embodiments of the present invention, those skilled in the art can variously modify and change the present invention within the scope without departing from the spirit and scope of the present invention as set forth in the claims below. You will understand that it can be done.

100: Accident vulnerability analysis system through accident pattern analysis
110: user terminal
130: Accident vulnerability analysis device through accident occurrence pattern analysis
150: database
210: processor 230: memory
250: user input/output unit 270: network input/output unit
310: Dispatch data set construction unit 320: Dispatch possible area status derivation unit
330: Emergency facility location adequacy evaluation unit
340: emergency facility location determination unit 350: emergency facility location correction unit
360: control

Claims (8)

A dispatch data set construction unit that collects basic data including rescue, fire response data, and geographic data according to a specific risk in a specific area, and builds the basic data as a rescue data set for prediction of rescue and fire;
Dispatch available area status to construct a mobile network by performing network analysis on the geographic data, and to derive the status of a dispatchable area that can be dispatched within a specific time for the specific area from the mobile network, the dispatch data set, and the location of the emergency facility derivation;
Emergency facility location adequacy evaluation, which calculates rescue and fire response prediction data according to the amount of change in the rescue and fire response data, and evaluates the appropriateness of the location of the emergency facility by comparing and analyzing the rescue and fire response prediction data and the available area status wealth; and
Including an emergency facility location determining unit that overlaps the geographic data and the status of the dispatchable area to detect an area where it cannot be dispatched, and determines the location of an additional emergency facility according to the evaluation of the area where it cannot be dispatched and the appropriateness,
The mobile network includes a link connecting the first region and the second region to each other and a node formed at the intersection of the links. If the node is not formed at the intersection, it is defined that movement between the links associated with the intersection is impossible. become,
The dispatchable area status derivation unit determines the link resistance in the link according to the thickness of the link, determines the resistance of the node according to the waiting time and waiting period at the node, and determines the resistance of the node based on the location of the emergency facility. And among the dispatchable areas that can be dispatched within a specific time connected to the node, the most distant dispatchable areas centered on the location of the emergency facility are connected to each other to form a boundary, and the inside of the boundary is derived as the condition of the dispatchable area,
The emergency facility location adequacy evaluation unit arranges the rescue and fire evacuation prediction data in spatial coordinates using a kernel density estimation method, and arranges the dispatchable area status in spatial coordinates through overlapping on the spatial coordinates. Calculating an area that does not include the area in which the rescue and fire response prediction data is displayed, and is proportional to the number of rescue and fire response prediction data that are not included in the available area status, the total number of rescue and fire response prediction data Accident vulnerability analysis device through accident occurrence pattern analysis, characterized in that the appropriateness of the location of the emergency facility is evaluated in inverse proportion.
According to claim 1, wherein the dispatch data set construction unit
When collecting the rescue and fire response data, the data is collected separately for each cause of the rescue and fire, and a data set is built.
The evacuation area status derivation unit
Accident vulnerability analysis apparatus through accident occurrence pattern analysis, characterized in that the specific time is adjusted based on the urgency for each cause of the rescue and fire.
delete delete delete According to claim 1, wherein the emergency facility location determining unit
Accident vulnerability analysis through accident occurrence pattern analysis, characterized in that the coverage of the additional emergency facility is determined according to the scale of the additional emergency facility, and the location of the additional emergency facility is determined with priority on an area where the evaluation of the appropriateness is low Device.
7. The method of claim 6,
Accident vulnerability analysis apparatus through accident occurrence pattern analysis, characterized in that it further comprises an emergency facility location correction unit for deleting or changing the location of the emergency facility according to the coverage of the emergency facility and the additional emergency facility.
Accident vulnerability analysis method through accident occurrence pattern analysis performed in the accident occurrence pattern analysis device including the dispatch data set construction unit, the dispatchable area status derivation unit, the emergency facility location adequacy evaluation unit and the emergency facility location determination unit In
Dispatch data that collects basic data including rescue, fire response data, and geographic data according to a specific risk in a specific area through the dispatch data set construction unit and builds the basic data as a dispatch data set for prediction of rescue and fire three building steps;
Through the evacuation area status derivation unit, a mobile network is constructed by performing a network analysis on the geographic data, and a dispatch is possible within a specific time from the mobile network, the dispatch data set and the location of the emergency facility to the specific area. A step of deriving the current status of the dispatchable area to derive the local status;
The emergency facility location adequacy evaluation unit calculates rescue and fire response prediction data according to the amount of change in the rescue and fire response data, and compares and analyzes the rescue and fire response prediction data with the available area status to determine the location of the emergency facility. Emergency facility location adequacy evaluation step to evaluate adequacy; and
Emergency facility location determination that detects an evacuation impossible area by overlapping the geographic data and the mobilization area status through the emergency facility location determination unit, and determines the location of an additional emergency facility according to the evaluation of the evacuation impossible area and the appropriateness comprising steps,
The mobile network includes a link connecting the first region and the second region to each other and a node formed at the intersection of the links. If the node is not formed at the intersection, it is defined that movement between the links associated with the intersection is impossible. become,
In the step of deriving the status of the dispatchable area, the link resistance of the link is determined according to the thickness of the link, and the resistance of the node is determined according to the waiting time and the waiting period at the node, through the dispatchable area status deriving unit. And, based on the location of the emergency facility, among the areas that can be dispatched within a specific time connected to the link and the node based on the location of the emergency facility, the areas that are farthest from the location of the emergency facility are connected to each other to form a boundary, and to form a boundary inside the boundary Including the step of deriving the status of the dispatchable area,
In the emergency facility location adequacy evaluation step, through the emergency facility location adequacy evaluation unit, the rescue and fire response prediction data are placed in spatial coordinates using a kernel density estimation method, and the status of the dispatchable area is placed in the spatial coordinates. Through overlapping on spatial coordinates, an area in which the status of the evacuation area does not include the area in which the rescue and fire response prediction data is displayed is calculated, and the number of the rescue and fire response prediction data that is not included in the status of the evacuation area is proportional to the number Accident vulnerability analysis method through accident occurrence pattern analysis, characterized in that it comprises the step of evaluating the appropriateness of the location of the emergency facility in inverse proportion to the total number of rescue and fire response prediction data.

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