KR102417675B1 - Expression apparatus for level of disaster crisis, and control method thereof - Google Patents

Abstract

The present invention relates to a disaster risk level expression device and an operating method thereof, which analyze the disaster risk level according to the type of disaster for each region, and efficiently visualize and express the details of the analyzed result.

Description

DISASTER CRISIS, AND CONTROL METHOD THEREOF

The present invention relates to a method for efficiently visualizing and expressing details of an analyzed result by analyzing a disaster risk level according to a disaster type for each region.

Crisis alerts for each type of disaster are issued in accordance with the relevant laws and regulations and the level of crisis alerts in the 「Disaster and Crisis Management Standard Manual」. Needs to be.

However, the preparation of a quantitative standard for analyzing the level of disaster and crisis is still insufficient, and furthermore, if a qualitative analysis is required in the analysis of the level of disaster and crisis, the analysis results according to the quantitative standard can be efficiently referenced. Due to the absence of the staff, it was difficult for the person in charge to make a decision.

In addition, the existing crisis alerts for each type of disaster are issued at the national level, so the reality is that there is a limit to the crisis alert response activities at the local level.

Accordingly, in the present invention, it is intended to propose a method for analyzing the disaster risk level according to the type of disaster for each region, and visualizing and expressing the result of the analysis.

The present invention was created in view of the above circumstances, and the purpose of the present invention is to analyze the disaster risk level according to the disaster type for each region, and to efficiently visualize and express the details of the analyzed result. .

In order to achieve the above object, the disaster and crisis level expression device according to an embodiment of the present invention uses at least some of the actual measured disaster data collected in real time based on preset disaster and crisis level analysis conditions to be analyzed for disaster risk level analysis. a decision unit to determine; an acquisition unit that inputs the analysis target data as input data to the disaster and crisis level analysis algorithm, and obtains output data output from the disaster and crisis level analysis algorithm as a quantitative analysis result for the disaster and crisis level; and a display unit that visualizes and expresses the analysis result for each disaster and crisis level analysis element from the quantitative analysis result so that the disaster and crisis level analysis element, which is the analysis standard of the quantitative analysis result, is referenced in the qualitative analysis of the disaster and crisis level characterized.

Specifically, the disaster and crisis level analysis conditions include an analysis target area that is a region requiring an analysis of a disaster risk level, and an analysis target disaster type that is a disaster type that requires an analysis of the disaster and crisis level, and the determining unit includes: At least a portion of the actual disaster data collected in the analysis target area that matches the analysis target disaster type may be determined as the analysis target data.

Specifically, when the specific actual disaster data required for the analysis of the analysis target type of disaster does not exist on the at least some actual disaster data, the degree of association between each of the at least some actual disaster data and the specific actual disaster data By estimating the data value of the specific measured disaster data based on the , the specific actual disaster data of the estimated data value may be included in the analysis target data.

Specifically, the acquisition unit, when the specific actual disaster data for which the data value is estimated is included in the analysis target data, by changing the set value of the hyper parameter of the disaster risk level analysis algorithm, through the changed set value, the specific The reflection rate of the actual measured disaster data reflected in the disaster risk level analysis may be reduced, and the reflection rate of the remaining actual disaster data used for estimating the data value of the specific actual disaster data may be increased by the reduced reflection rate.

Specifically, the disaster risk level analysis condition includes a disaster risk level analysis period, which is a period including a past time point and a future time point adjacent to the present time point based on the current time point, and the display unit, the disaster risk level analysis The time series trend of the analysis result for each element of the analysis of the disaster and crisis level that is changed during the period is visualized and displayed. can express

Specifically, the quantitative analysis result includes an analysis result for a related disaster type that is a disaster type associated with the analysis target disaster type, and the display unit includes a degree of association with the analysis target disaster type with respect to the related disaster type, and the results of analysis on the level of disaster and crisis can be visualized and expressed.

Specifically, the degree of association is the number of measured disaster data that match each other between the analysis target disaster type and the related disaster type, among the actual disaster data required for disaster risk level analysis in each of the analysis target disaster type and the related disaster type can be identified from

Specifically, when the qualitative analysis result is input according to the expression of the analysis result for each disaster and crisis level analysis element, the disaster and crisis level expression device transmits the qualitative analysis result to a specific destination according to a predefined processing procedure. It may further include a processing unit for transmitting or outputting a document in a specific format.

In order to achieve the above object, the operating method of the disaster and crisis level expression device according to an embodiment of the present invention includes at least some of the actual measured disaster data collected in real time based on a preset disaster and crisis level analysis condition necessary for the disaster risk level analysis. a decision step of determining the data to be analyzed; an acquisition step of inputting the analysis target data as input data to the disaster and crisis level analysis algorithm, and obtaining output data output from the disaster and crisis level analysis algorithm as a quantitative analysis result for the disaster and crisis level; and an expression step of visualizing and expressing the analysis result for each disaster and crisis level analysis element from the quantitative analysis result so that the disaster and crisis level analysis element, which is the analysis standard of the quantitative analysis result, is referenced for the qualitative analysis of the disaster and crisis level. characterized in that

Specifically, the conditions for analyzing the disaster and crisis level include an analysis target area that is an area requiring an analysis of a disaster risk level, and an analysis target disaster type that is a disaster type that requires an analysis of the disaster risk level, and the determining step includes: At least a portion of the actual disaster data collected in the analysis target area that matches the analysis target disaster type may be determined as the analysis target data.

Specifically, in the determining step, when the specific actual disaster data required for the analysis of the analysis target disaster type does not exist on the at least some actual disaster data, the association between each of the at least some actual disaster data and the specific actual disaster data By estimating the data value of the specific actual disaster data based on the figure, the specific actual disaster data of the estimated data value may be included in the analysis target data.

Specifically, in the acquiring step, when the specific actual disaster data for which the data value is estimated is included in the analysis target data, the set value of the hyper parameter of the disaster risk level analysis algorithm is changed, and the changed set value is used. It is possible to reduce the reflection rate at which specific actual measured disaster data is reflected in the disaster risk level analysis, and increase the reflection rate of the remaining actual measured disaster data used for estimating the data value of the specific actual disaster data by the reduced reflection rate.

Specifically, the disaster risk level analysis condition includes a disaster risk level analysis period, which is a period including a past time point and a future time point adjacent to the present time point based on the current time point, and the expression step includes the disaster crisis level The time series trend of the analysis result for each element of the analysis of the disaster and crisis level that is changed during the analysis period is visualized and displayed. can express

The quantitative analysis result includes an analysis result for a related disaster type that is a disaster type associated with the analysis target disaster type, and the expression step includes a degree of association with the analysis target disaster type with respect to the related disaster type, and a disaster It is possible to visualize and express the analysis result of the crisis level.

Specifically, the degree of association is the number of measured disaster data that match each other between the analysis target disaster type and the related disaster type, among the actual disaster data required for disaster risk level analysis in each of the analysis target disaster type and the related disaster type can be identified from

Specifically, in the method, when the qualitative analysis result is input according to the expression of the analysis result for each disaster risk level analysis element, the qualitative analysis result is transmitted to a specific destination according to a predefined processing procedure, or It may further include a processing step of outputting a document in a specific format.

Accordingly, in the disaster risk level expression device and the operating method of the present invention, it is possible to efficiently visualize and express the detailed content of the analyzed result by analyzing the disaster risk level according to the disaster type for each region, so the disaster risk level It is possible to effectively support decision-making on the issuance of crisis alerts for each type of disaster based on a qualitative analysis of disasters.

1 is an exemplary diagram for explaining a disaster risk level analysis environment according to an embodiment of the present invention.
Figure 2 is a schematic configuration diagram of a disaster and crisis level expression device according to an embodiment of the present invention.
3 and 4 are exemplary views for explaining an expression form of an analysis result according to an embodiment of the present invention.
5 is a flowchart for explaining an operating method of a disaster risk level expression device according to an embodiment of the present invention.

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

In an embodiment of the present invention, a technique for supporting the grade determination of a crisis alert for each type of disaster is dealt with.

Crisis alerts for each type of disaster are issued in accordance with the relevant laws and regulations and the crisis alert level of the 「Standard Manual for Disaster and Crisis Management」.

In this way, in order to issue a crisis alert for each type of disaster, it is necessary to analyze the level of disaster risk by mixing quantitative criteria or quantitative and qualitative criteria for each type of disaster.

However, the preparation of a quantitative standard for analyzing the level of disaster and crisis is still insufficient, and furthermore, if a qualitative analysis is required in the analysis of the level of disaster and crisis, the analysis results according to the quantitative standard can be efficiently referenced. Due to the absence of the staff, it was difficult for the person in charge to make a decision.

In addition, the existing crisis alerts for each type of disaster are issued at the national level, so the reality is that there is a limit to the crisis alert response activities at the regional level.

Accordingly, in one embodiment of the present invention, it is intended to propose a method for analyzing the disaster risk level according to the type of disaster for each region, and effectively visualizing and expressing the result of the analysis.

In this regard, FIG. 1 exemplarily shows a disaster risk level analysis environment according to an embodiment of the present invention.

As shown in FIG. 1, in the disaster risk level analysis environment according to an embodiment of the present invention, a configuration including a disaster and crisis level expression device 100 for analyzing and expressing a disaster risk level according to a disaster type for each region. can have

The disaster and crisis level expression device 100 refers to a device that analyzes the disaster risk level for each disaster type from the real-time measured disaster data collected for each region, and visualizes and displays the details of the analyzed result, for example, implemented in the form of a server can be

Here, the actual disaster data is measurement (sensing) information divided according to the type of disaster. For example, when the type of disaster is drought, measurement information such as precipitation, agricultural water, living water, and dam water may correspond.

When the disaster and crisis level expression device 100 is implemented in the form of a server, for example, it may be implemented in the form of a web server, database server, proxy server, etc., and the network load balancing mechanism, or service device is the Internet or other One or more of various software to be able to operate on a network may be installed, and may be implemented as a computerized system through this.

In this case, the network may be an http network, and may be a private line, an intranet, or any other network. Also, in the connection between each component in the advertisement providing system according to an embodiment of the present invention, data is arbitrary. It can be connected to a secure network to prevent it from being attacked by hackers or other third parties.

Above, through the above-described configuration according to an embodiment of the present invention, it is possible to efficiently visualize and express the details of the analyzed result by analyzing the disaster risk level according to the disaster type for each region. The configuration of the disaster and crisis level expression device 100 for realization will be described in more detail.

In relation to, FIG. 2 shows a schematic configuration of a disaster risk level expression device 100 according to an embodiment of the present invention.

As shown in FIG. 2 , the disaster and crisis level expression device 100 according to an embodiment of the present invention includes a determination unit 10 that determines analysis target data for disaster and crisis level analysis, and analysis results on the disaster and crisis level It may have a configuration including an acquisition unit 20 that acquires , and a display unit 30 that visualizes and expresses the analysis result for the disaster and crisis level.

In addition, the disaster and crisis level expression device 100 according to an embodiment of the present invention may have a configuration that further includes a processing unit 40 for processing input information input from a user (person in charge) in addition to the aforementioned configuration.

The entire configuration or at least some of the configuration of the disaster risk level expression device 100 including the determination unit 10, the acquisition unit 20, the display unit 30, and the processing unit 40 is a hardware module type or a software module type , or a combination of a hardware module and a software module may also be implemented.

Here, the software module may be understood as, for example, an instruction executed by a processor that controls operations in the disaster and crisis level expression device 100, and these instructions are loaded in the memory in the disaster and crisis level expression device 100. may have a form.

On the other hand, the disaster and crisis level expression device 100 according to an embodiment of the present invention may further include a configuration of the communication unit 50, which is an RF module responsible for a communication function for supporting a wired/wireless communication network connection, in addition to the above configuration. have.

Above, the disaster and crisis level expression device 100 according to an embodiment of the present invention analyzes the disaster risk level according to the disaster type for each region through the above-described configuration, and efficiently visualizes and expresses the details of the analyzed result. This becomes possible, and below, a detailed description of each configuration in the disaster and crisis level expression device 100 for realizing this will be continued.

Meanwhile, prior to the explanation, it is assumed that the criteria for quantitative analysis of the disaster and crisis level (hereinafter referred to as 'disaster risk level analysis factor') are already defined.

The determination unit 10 performs a function of determining the analysis target data for the disaster and crisis level analysis.

More specifically, the determination unit 10 determines at least a portion of the actual measured disaster data collected in real time based on the disaster and crisis level analysis conditions set by the user (the person in charge) as the analysis target data required for the disaster and crisis level analysis.

To this end, the determination unit 10 provides, for example, a user interface (UI, User Interface) as shown in FIG. 3 to a user (person in charge), allowing the user (person in charge) to set conditions in the user interface window 2 It supports the establishment of disaster risk level analysis conditions through the

As the conditions for analyzing the disaster and crisis level, for example, the analysis target area, which is the area requiring the analysis of the disaster and crisis level, the analysis target disaster type, which is the disaster type that requires the analysis of the disaster and crisis level, and the current time based on the current time A disaster risk level analysis period, which is a certain period including past and future time points adjacent to each other, can be set.

Here, in the case of the analysis target area, of course, in addition to the condition setting window 2 in the user interface, the nationwide map-based, city-gun-gu unit area range can be clicked and selected through the map window 3, of course.

Accordingly, when the analysis target area and the analysis target disaster type are set as the disaster risk level analysis condition, the determination unit 10 analyzes at least a part of the actual disaster data collected in the analysis target area that matches the analysis target disaster type It can be determined by the target data.

Meanwhile, in an embodiment of the present invention, a case in which specific measured disaster data (specific measured disaster data) required for analysis of the type of disaster to be analyzed does not exist in the measured disaster data collected in the analysis target area is considered.

In this regard, when the specific actual disaster data (specific actual disaster data) required for the analysis of the analysis target disaster type does not exist in the actual disaster data collected in the analysis target area, the determination unit 10 analyzes the analysis target disaster type It is possible to estimate the data value of the specific measured disaster data based on the data values of the remaining measured disaster data according to the degree of relevance of each of the remaining measured disaster data and the specific measured disaster data and apply it to the analysis target data.

At this time, the determining unit 10 is different from the analysis target area, based on the statistical data of the other area where the specific actual disaster data exists, the change trend of the data value of the specific measured data in other regions and less than the set value (similarity is greater than or equal to the threshold value) ) is confirmed as the reference data for data value estimation, and the same actual disaster data (same type of disaster data) as the reference data is selected and selected among the remaining actual disaster data in the analysis target area. The data value of the specific measured disaster data may be estimated based on the data value of the measured actual disaster data.

The acquisition unit 20 performs a function of acquiring the analysis result for the disaster and crisis level.

More specifically, when the analysis target data for the analysis of the disaster and crisis level of the analysis target area is determined, the acquisition unit 20 inputs the analysis target data as input data to the pre-generated disaster and crisis level analysis algorithm, The output data output from the level analysis algorithm is obtained as a quantitative analysis result for the disaster and crisis level.

Here, the disaster risk level analysis algorithm can be understood as an automatic analysis model generated by learning past analysis target data as learning data through artificial intelligence techniques (eg, machine learning, deep learning, etc.).

On the other hand, the acquisition unit 20 changes the set value of the hyper parameter of the disaster risk level analysis algorithm when the specific actual disaster data whose data value is estimated is included in the analysis target data determined for the analysis target area, the changed setting Through the value, the reflection rate at which the specific actual disaster data is reflected in the disaster risk level analysis is reduced, and the reflection rate of the remaining actual disaster data used for estimating the data value of the specific actual disaster data is increased by the reduced reflection rate.

This is the estimated data by applying the method of changing the hyperparameter setting value of the disaster risk level analysis algorithm to the case that the specific actual disaster data with the estimated data value is included in the analysis target data determined for the analysis target area. It can be understood to prevent the accuracy of the quantitative analysis result output from the disaster risk level analysis algorithm from falling due to the input of specific actual disaster data having a value.

On the other hand, in the statistical analysis result output from the disaster risk level analysis algorithm according to an embodiment of the present invention, not only the analysis result for the analysis target disaster type, but also the related disaster that is related to other disaster types whose correlation with the analysis target disaster type is greater than or equal to a threshold Analysis results for types may be included.

Here, the degree of relevance with the type of disaster to be analyzed can be determined from the number of measured disaster data that matches the type of disaster to be analyzed among the actual disaster data required for disaster risk level analysis in each of the disaster type to be analyzed and other disaster types. .

The display unit 30 performs a function of visualizing and expressing the analysis result for the level of disaster and crisis.

More specifically, when the quantitative analysis result is obtained from the disaster and crisis level analysis algorithm, the display unit 30 is quantitative so that the disaster risk level analysis element, which is the analysis standard of the quantitative analysis result, can be referred to in the qualitative analysis of the disaster and crisis level. From the analysis result, the analysis result for each disaster and crisis level analysis element is visualized and expressed.

At this time, the display unit 30 visualizes and displays the time series trend of the analysis result for each disaster and crisis level analysis element that is changed during the disaster and crisis level analysis period set as the disaster and crisis level analysis condition, and a specific time point is selected during the disaster and crisis level analysis period In this case, it is possible to express the analysis results for each disaster and crisis level analysis element for the selected time point.

In addition, the display unit 30 extracts the analysis result for the related disaster type whose relevance with the analysis target disaster type is determined to be greater than or equal to the threshold from the statistical analysis result obtained from the disaster risk level analysis algorithm, and displays the extracted analysis result. It can be visualized and expressed along with the degree of correlation with the type of disaster to be analyzed.

For reference, in the following, an expression form of an analysis result according to an embodiment of the present invention will be described in more detail with reference to FIG. 3 exemplified above to help understanding of the description.

In the condition setting window (2), the analysis target area, which is the area requiring the analysis of the disaster and crisis level, the analysis target disaster type, which is the disaster type that requires the analysis of the disaster risk level, and the present time and the neighboring past based on the present time It can support the setting of the disaster risk level analysis condition including the disaster risk level analysis period, which is a certain period including the time point and the future time point.

In addition, in the map window 3, it is possible to additionally support the setting of the analysis target area, which is an area requiring the analysis of the disaster risk level, by clicking on the national map-based, city-gun-gu unit area range.

In addition, the display of the current disaster and crisis level analysis result window (4) can support the expression of the disaster risk level analysis result for the type of disaster to be analyzed by the analysis target area, and the disaster and crisis level is scored in the disaster and crisis level table window (5). It is possible to support the expression of the converted score in the form of a bar graph, for example, as in FIG. 4 (a).

In addition, in the disaster risk level determination index window 6, for example, as shown in FIG. 4 ( b ), in the form of an integrated index chart indicating the score level of each index so that various indexes used in the analysis of the disaster and crisis level can be searched. can support expression.

Here, the indicators used in the analysis of the level of disaster and crisis include severity (degree (or expected degree) of damage to human life, property damage, and degree of need for a national response), urgency (acute damage to life and property is expected or lifesaving activities, degree of need for a preemptive response), escalation potential (the degree of likelihood that the damage scale of a disaster will increase or spread to other disasters), duration (the time taken for the disaster handling process from immediately after a disaster to recovery and recovery), ripple Effects (degree of economic and social repercussions from all indirect damage caused by a disaster), domestic and international public opinion (degree of national crisis awareness and media exposure due to disaster), and government response capacity (government response system for disaster situation management) , a combination of disaster response experience, response and recovery materials, etc.).

In addition, in the time series disaster and crisis level status and future prediction result window (7), the time series trend of the analysis results for each element of the disaster and crisis level that changes during the disaster and crisis level analysis period (eg, the past 1 year, the future 3 months) is visualized. can support expression.

Here, in the time series trend, the disaster crisis level of the past time point, the present time point, and the future time point may be expressed in colors and graphs according to the disaster crisis level, for example, as in FIG. 4(c).

In addition, in the analysis result window (8) of the related disaster and crisis level occurrence status and related index analysis result, the analysis result of the related disaster type for which the correlation with the analysis target disaster type is judged to be above the threshold is displayed together with the correlation with the analysis target disaster type can support being

Here, the degree of association with the type of disaster to be analyzed may be expressed in the form of a graph, for example, as in FIG. 4(d).

In addition, the disaster risk level analysis element, which is a standard for quantitative analysis of the disaster and crisis level, is displayed in the disaster risk level analysis standard window 9, and it is possible to support the change of the user (person in charge) for this.

In addition, in the comprehensive time series analysis window 10, the analysis results for each disaster and crisis level analysis element during the disaster and crisis level analysis period are supported to be expressed in the form of, for example, FIG. 4(e), and in the detailed item window 11, the disaster and crisis It can support the expression of detailed element values for each level analysis element, for example, in the form of FIG. 4(f).

In addition, in the timeline window 12, when a specific time point is slidingly selected during the disaster risk level analysis period, the analysis result for each disaster risk level analysis element for the selected time point is exemplified above, as in FIG. 4 (b), integrated information It can support display in chart form.

Finally, in the related information window 13, various information (eg, notice, news, SNS, regional characteristic information, related websites, etc.) It is possible to support the input of the qualitative analysis result determined by the user (the person in charge) in the input window 14 of the disaster risk level evaluation result input window 14 in charge.

The processing unit 40 performs a function of processing input information input from a user (person in charge).

More specifically, when the qualitative analysis result is input from the user (person in charge) according to the expression of the analysis result for each disaster and crisis level analysis element, the processing unit 40 processes the input qualitative analysis result according to a predefined processing procedure. will do

In this case, the processing unit 40 may transmit the input qualitative analysis result to a specific destination according to a predefined processing procedure (SMS, e-mail) or output it as a document in a specific format (report or notification).

For reference, the qualitative analysis result from the user (person in charge) may be input through the input window 14 of the disaster risk level evaluation result input window 14 in FIG. 3 exemplified above.

As described above, according to the configuration of the disaster and crisis level expression device 100 according to an embodiment of the present invention, the disaster risk level according to the disaster type is analyzed for each region, and the details of the analyzed result are efficiently displayed. Since it is possible to visualize and express it, it can be seen that it can effectively support the qualitative analysis of the level of disaster and crisis and the decision-making on the issuance of a crisis alert for each type of disaster based on this.

Hereinafter, an operating method of the disaster risk level expression device 100 according to an embodiment of the present invention will be described with reference to FIG. 5 .

First, the determination unit 10 determines at least a part of the actual measured disaster data collected in real time based on the disaster risk level analysis condition set by the user (person in charge) as the analysis target data required for the disaster and crisis level analysis (S10-S20). ).

To this end, the determination unit 10 provides, for example, a user interface (UI, User Interface) as shown in FIG. 3 to a user (person in charge), allowing the user (person in charge) to set conditions in the user interface window 2 It supports the establishment of disaster risk level analysis conditions through the

As the conditions for analyzing the disaster and crisis level, for example, the analysis target area, which is the area requiring the analysis of the disaster and crisis level, the analysis target disaster type, which is the disaster type that requires the analysis of the disaster and crisis level, and the current time based on the current time A disaster risk level analysis period, which is a certain period including past and future time points adjacent to each other, can be set.

Here, in the case of the analysis target area, it goes without saying that, in addition to the condition setting window 2 in the user interface, the nationwide map-based, city-gun-gu unit area range can be clicked and selected through the map window 3 .

Accordingly, when the analysis target area and the analysis target disaster type are set as the disaster risk level analysis condition, the determination unit 10 analyzes at least a part of the actual disaster data collected in the analysis target area that matches the analysis target disaster type It can be determined by the target data.

Meanwhile, in an embodiment of the present invention, a case in which specific measured disaster data (specific measured disaster data) required for analysis of the type of disaster to be analyzed does not exist in the measured disaster data collected in the analysis target area is considered.

In this regard, when the specific actual disaster data (specific actual disaster data) required for the analysis of the analysis target disaster type does not exist in the actual disaster data collected in the analysis target area, the determination unit 10 analyzes the analysis target disaster type It is possible to estimate the data value of the specific measured disaster data based on the data values of the remaining measured disaster data according to the degree of relevance of each of the remaining measured disaster data and the specific measured disaster data and apply it to the analysis target data.

At this time, the determining unit 10 is different from the analysis target area, based on the statistical data of the other area where the specific actual disaster data exists, the change trend of the data value of the specific measured data in other regions and less than the set value (similarity is greater than or equal to the threshold value) ) is confirmed as the reference data for data value estimation, and the same actual disaster data (same type of disaster data) as the reference data is selected and selected among the remaining actual disaster data in the analysis target area. The data value of the specific measured disaster data may be estimated based on the data value of the measured actual disaster data.

Then, when the analysis target data for the analysis of the disaster and crisis level of the analysis target area is determined, the acquisition unit 20 inputs the analysis target data as input data for the pre-generated disaster and crisis level analysis algorithm, The output data output from the analysis algorithm is acquired as a quantitative analysis result for the disaster and crisis level (S30-S40).

Here, the disaster risk level analysis algorithm can be understood as an automatic analysis model generated by learning past analysis target data as learning data through artificial intelligence techniques (eg, machine learning, deep learning, etc.).

On the other hand, the acquisition unit 20 changes the set value of the hyper parameter of the disaster risk level analysis algorithm when the specific actual disaster data whose data value is estimated is included in the analysis target data determined for the analysis target area, the changed setting Through the value, the reflection rate at which the specific actual disaster data is reflected in the disaster risk level analysis is reduced, and the reflection rate of the remaining actual disaster data used for estimating the data value of the specific actual disaster data is increased by the reduced reflection rate.

This is the estimated data by applying the method of changing the hyperparameter setting value of the disaster risk level analysis algorithm to the case that the specific actual disaster data with the estimated data value is included in the analysis target data determined for the analysis target area. It can be understood to prevent the accuracy of the quantitative analysis result output from the disaster risk level analysis algorithm from falling due to the input of specific actual disaster data having a value.

On the other hand, in the statistical analysis result output from the disaster risk level analysis algorithm according to an embodiment of the present invention, not only the analysis result for the analysis target disaster type, but also the related disaster that is related to other disaster types whose correlation with the analysis target disaster type is greater than or equal to a threshold Analysis results for types may be included.

Here, the degree of relevance with the type of disaster to be analyzed can be determined from the number of measured disaster data that matches the type of disaster to be analyzed among the actual disaster data required for disaster risk level analysis in each of the disaster type to be analyzed and other disaster types. .

Furthermore, when the quantitative analysis result is obtained from the disaster and crisis level analysis algorithm, the display unit 30 provides a quantitative analysis result so that the disaster risk level analysis element, which is the analysis standard of the quantitative analysis result, can be referred to in the qualitative analysis of the disaster and crisis level. The analysis results for each element of disaster risk level analysis are visualized and expressed (S50).

At this time, the display unit 30 visualizes and displays the time series trend of the analysis result for each disaster and crisis level analysis element that is changed during the disaster and crisis level analysis period set as the disaster and crisis level analysis condition, and a specific time point is selected during the disaster and crisis level analysis period In this case, it is possible to express the analysis results for each disaster and crisis level analysis element for the selected time point.

In addition, the display unit 30 extracts the analysis result for the related disaster type whose relevance with the analysis target disaster type is determined to be greater than or equal to the threshold from the statistical analysis result obtained from the disaster risk level analysis algorithm, and displays the extracted analysis result. It can be visualized and expressed along with the degree of correlation with the type of disaster to be analyzed.

Thereafter, when the qualitative analysis result is input from the user (the person in charge) according to the expression of the analysis result for each disaster and crisis level analysis element, the processing unit 40 processes the input qualitative analysis result according to a predefined processing procedure ( S60-S70).

In this case, the processing unit 40 may transmit the input qualitative analysis result to a specific destination according to a predefined processing procedure (SMS, e-mail) or output it as a document in a specific format (report or notification).

For reference, the qualitative analysis result from the user (person in charge) may be input through the input window 14 of the disaster risk level evaluation result input window 14 in FIG. 3 exemplified above.

As described above, according to the operating method of the disaster and crisis level expression device 100 according to an embodiment of the present invention, the disaster risk level according to the disaster type is analyzed for each region, and the details of the analyzed result are efficiently displayed. Since it is possible to visualize and express the

On the other hand, the functional operations and implementations of the subject matter described in this specification are implemented as digital electronic circuits, computer software, firmware, or hardware including the structures disclosed in this specification and structural equivalents thereof, or at least one of them It can be implemented by combining. Implementations of the subject matter described herein are one or more computer program products, ie one or more modules of computer program instructions encoded on a tangible program storage medium for processing or execution by the processing system. can be implemented.

The computer-readable medium may be a machine-readable storage device, a machine-readable storage substrate, a memory device, or a combination of one or more thereof.

As used herein, the term “system” or “device” encompasses all apparatuses, devices, and machines for processing data, including, for example, programmable processors, computers, or multiple processors or computers. A processing system may include, in addition to hardware, code that, upon request, forms an execution environment for a computer program, such as code constituting processor firmware, a protocol stack, a database management system, an operating system, or a combination of one or more thereof. .

A computer program (also known as a program, software, software application, script or code) may be written in any form of any programming language, including compiled or interpreted language or a priori or procedural language, and may be written as a stand-alone program or module; It can be deployed in any form, including components, subroutines, or other units suitable for use in a computer environment. A computer program does not necessarily correspond to a file in a file system. A program may be in a single file provided to the requested program, or in multiple interacting files (eg, files that store one or more modules, subprograms, or portions of code), or portions of files that hold other programs or data. (eg, one or more scripts stored within a markup language document). The computer program may be deployed to be executed on a single computer or multiple computers located at one site or distributed over a plurality of sites and interconnected by a communication network.

On the other hand, computer-readable media suitable for storing computer program instructions and data are, for example, semiconductor memory devices such as EPROM, EEPROM and flash memory devices, such as magnetic disks such as internal hard disks or external disks, magneto-optical disks and CDs. -Can include all types of non-volatile memory, media and memory devices, including ROM and DVD-ROM disks. The processor and memory may be supplemented by, or integrated into, special purpose logic circuitry.

An implementation of the subject matter described herein may include a backend component, such as a data server, or a middleware component, such as an application server, such as a web browser or graphical user that allows a user to interact with an implementation of the subject matter described herein, for example. It may be implemented in a front-end component, such as a client computer having an interface, or in a computing system including any combination of one or more of such back-end, middleware, or front-end components. The components of the system may be interconnected by any form or medium of digital data communication, such as, for example, a communication network.

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 Likewise, 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. Further, 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.

Also, although operations are depicted in the drawings in a specific order in this specification, it is not to be understood that such operations must be performed in the specific order or sequential order shown or that all illustrated operations must be performed in order to achieve desirable results. Can not be done. In certain cases, multitasking and parallel processing may be advantageous. Further, the separation of various system components of the above-described embodiments should not be construed as requiring such separation in all embodiments, and the program components and systems described may generally be integrated together into a single software product or packaged into multiple software products. It should be understood that

As such, this specification is not intended to limit the invention to the specific terms presented. Accordingly, although the present invention has been described in detail with reference to the above-described examples, those skilled in the art can make modifications, changes, and modifications to the examples without departing from the scope of the present invention. The scope of the present invention is indicated by the following claims rather than the above detailed description, and all changes or modifications derived from the meaning and scope of the claims and their equivalent concepts should be interpreted as being included in the scope of the present invention. do.

According to the disaster risk level expression device and the operation method according to the present invention, the disaster risk level according to the disaster type for each region can be analyzed and the details of the analyzed result can be efficiently visualized and expressed. It is an invention with industrial applicability because the possibility of marketing or business of the applied device, not just the use of the related technology, is sufficient as it exceeds the limit of

100: Disaster and crisis level expression device
10: decision unit 20: acquisition unit
30: expression unit 40: processing unit

Claims (16)

a determining unit that determines at least a part of the actual measured disaster data collected in real time as the analysis target data required for the disaster risk level analysis based on the preset disaster and crisis level analysis conditions;
an acquisition unit that inputs the analysis target data as input data for the disaster and crisis level analysis algorithm, and obtains output data output from the disaster and crisis level analysis algorithm as a quantitative analysis result on the disaster and crisis level; and
It includes an expression unit that visualizes and expresses the analysis result for each disaster and crisis level analysis element from the quantitative analysis result so that the disaster and crisis level analysis element, which is the analysis standard of the quantitative analysis result, is referenced for the qualitative analysis of the disaster and crisis level,
The disaster risk level analysis condition is,
It includes the analysis target area, which is an area requiring the analysis of the disaster risk level, and the analysis target disaster type, which is the type of disaster that requires the analysis of the disaster risk level,
The determining unit is
At least some of the measured disaster data matching the analysis target disaster type among the actual measured disaster data collected in the analysis target area is determined as the analysis target data, and specific actual disaster data required for the analysis of the analysis target disaster type is at least When it does not exist on some of the measured disaster data, the data value of the specific measured disaster data is estimated based on the degree of association between each of the at least some of the measured disaster data and the specific measured disaster data, and the estimated data value is Including specific actual disaster data in the analysis target data,
The acquisition unit,
When the specific actual disaster data whose data value is estimated is included in the analysis target data, by changing the set value of the hyper parameter of the disaster and crisis level analysis algorithm, the specific actual disaster data is the disaster risk level through the changed set value Disaster crisis level expression device, characterized in that by reducing the reflection rate reflected in the analysis, and increasing the reflection rate of the remaining measured disaster data used for estimating the data value of the specific actual disaster data by the reduced reflection rate. delete delete delete The method of claim 1,
The disaster risk level analysis condition is,
Based on the present time, it includes a period for analyzing the disaster and crisis level, which is a period including the past and future time points adjacent to the present time,
The expression part,
Visualize and express a time series trend of the analysis result for each disaster and crisis level analysis element that is changed during the disaster and crisis level analysis period,
Disaster and crisis level expression device, characterized in that when a specific time point is selected during the disaster and crisis level analysis period, the analysis result for each disaster and crisis level analysis element is expressed for the selected time point. The method of claim 1,
The quantitative analysis result is,
It includes the analysis result of the related disaster type, which is the disaster type related to the analysis target disaster type,
The expression part,
Disaster and crisis level expression device, characterized in that for the related disaster type, the degree of correlation with the analysis target disaster type and the analysis result of the disaster and crisis level are visualized and expressed. 7. The method of claim 6,
The relationship is
Disaster characterized in that it is determined from the number of measured disaster data that match each other between the analysis target disaster type and the related disaster type among the actual disaster data required for the analysis of the disaster risk level in each of the analysis target disaster type and the related disaster type Crisis level display device. The method of claim 1,
The disaster and crisis level expression device is,
When the qualitative analysis result is input according to the expression of the analysis result for each disaster risk level analysis element, the qualitative analysis result is transmitted to a specific destination according to a predefined processing procedure, or outputted as a document in a specific format Disaster and crisis level expression device, characterized in that it further comprises a processing unit. A decision step of determining at least a part of the actual measured disaster data collected in real time based on a preset disaster risk level analysis condition as the analysis target data required for the disaster risk level analysis;
an acquisition step of inputting the analysis target data as input data to the disaster and crisis level analysis algorithm, and obtaining output data output from the disaster and crisis level analysis algorithm as a quantitative analysis result for the disaster and crisis level; and
An expression step of visualizing and expressing the analysis result for each disaster and crisis level analysis element from the quantitative analysis result so that the disaster and crisis level analysis element, which is the analysis standard of the quantitative analysis result, is referenced for the qualitative analysis of the disaster and crisis level,
The disaster risk level analysis condition is,
It includes the analysis target area, which is an area requiring the analysis of the disaster risk level, and the analysis target disaster type, which is the type of disaster that requires the analysis of the disaster risk level,
The decision step is
At least some of the measured disaster data matching the analysis target disaster type among the actual measured disaster data collected in the analysis target area is determined as the analysis target data, and specific actual disaster data required for the analysis of the analysis target disaster type is at least When it does not exist on some of the measured disaster data, the data value of the specific measured disaster data is estimated based on the degree of association between each of the at least some of the measured disaster data and the specific measured disaster data, and the estimated data value is Including specific actual disaster data in the analysis target data,
The acquisition step is
When the specific actual disaster data whose data value is estimated is included in the analysis target data, by changing the set value of the hyper parameter of the disaster and crisis level analysis algorithm, the specific actual disaster data is the disaster risk level through the changed set value A method of operating a disaster risk level expression device, characterized in that by reducing the reflection rate reflected in the analysis, and increasing the reflection rate of the remaining measured disaster data used for estimating the data value of the specific actual disaster data by the reduced reflection rate. delete delete delete 10. The method of claim 9,
The disaster risk level analysis condition is,
Based on the present time, it includes a period for analyzing the disaster and crisis level, which is a period including the past and future time points adjacent to the present time,
The expression step is
Visualize and express a time series trend of the analysis result for each disaster and crisis level analysis element that is changed during the disaster and crisis level analysis period,
When a specific time point is selected during the disaster and crisis level analysis period, the method of operating a disaster and crisis level expression device, characterized in that the analysis result for each disaster and crisis level analysis element is expressed for the selected time point. 10. The method of claim 9,
The quantitative analysis result is,
It includes the analysis result of the related disaster type, which is the disaster type related to the analysis target disaster type,
The expression step is
The operating method of the disaster and crisis level expression device, characterized in that for the related disaster type, the correlation with the analysis target disaster type and the analysis result for the disaster and crisis level are visualized and displayed. 15. The method of claim 14,
The relationship is
Disaster characterized in that it is determined from the number of measured disaster data that match each other between the analysis target disaster type and the related disaster type among the actual disaster data required for the analysis of the disaster risk level in each of the analysis target disaster type and the related disaster type How the crisis level expression device works. 10. The method of claim 9,
The method is
When the qualitative analysis result is input according to the expression of the analysis result for each disaster risk level analysis element, the qualitative analysis result is transmitted to a specific destination according to a predefined processing procedure, or outputted as a document in a specific format Operation method of the disaster and crisis level expression device, characterized in that it further comprises a processing step.

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