KR102266066B1 - Method and system for decision-making visualization for responding of earthquake disasters - Google Patents

Abstract

The present invention relates to a system for visualizing decision-making and a method thereof and, more specifically, to a system for visualizing decision-making for managing earthquake disasters to help managers in decision-making and quick response when an earthquake disaster occurs and a method thereof. According to one embodiment of the present invention, the system comprises: an earthquake data collection and processing system collecting and storing basic data for assessing importance and risk of earthquake disaster-related data with respect to a predetermined area; a risk assessment support system refining the collected disaster-related data according to importance and risk assessment criteria to form an earthquake disaster inventory; and a decision-making support system visualizing the level of risk on the basis of the refined collected data and displaying visualized information on a disaster information situation board.

Description

{METHOD AND SYSTEM FOR DECISION-MAKING VISUALIZATION FOR RESPONDING OF EARTHQUAKE DISASTERS}

The present invention relates to a decision visualization system and method, and more particularly, the present invention relates to a decision visualization system and method for earthquake disaster response.

Since the 1970s, along with industrialization, social development, and rapid urbanization, natural damage and deforestation have occurred. As a result, natural disasters such as large-scale floods, droughts, heat waves, and cold waves occur frequently. Recently, the need for disaster management using ICT technology to detect risks caused by disasters early and minimize damage is increasing. The Gyeongju earthquake that occurred in 2016 caused small casualties and property damage. In 2017, an earthquake with a magnitude of 5.4 on the Richter scale occurred 9 km north of Buk-gu, Pohang. In particular, the Pohang earthquake caused 135 wounded and about 1800 displaced. As the Pohang earthquake turned out to be a man-made disaster, damage recovery measures and restoration are still in progress. The importance of disaster management, such as inadequate measures for disaster response, is being newly highlighted. Due to the occurrence of such earthquake damage, studies on the stability of the domestic earthquake response system and active faults have been conducted, and there are concerns about the effectiveness of the current national disaster plan in Korea, where high-rise apartments are the main housing type, which is difficult to evacuate in the event of a disaster. . In the Heunghae-eup area of Pohang, the liquefaction phenomenon was observed for the first time in Korea, and as the anxiety of local residents increased due to insufficient preparation and response, preparation and response to earthquake disasters are more demanded.

Disaster management is an activity to minimize uncertainty about a disaster in order to minimize the damage that can occur from a disaster. Citizens' fears due to the increase in natural disasters are increasing, interest in countermeasures is heightened, and the government and local governments are increasingly demanding to establish disaster management policies and strategies. Looking at the current status of natural disasters in Korea, damage from wind and flood damage including typhoons, floods, heavy rains and landslides occurs most frequently, and disaster-related fields are mainly focused on areas related to typhoons, floods, heavy rains and landslides. Earthquakes are relatively neglected in disaster management. In Korea, seismic design standards were introduced in the design of buildings in the 1980s. Although excellent research results are being produced mainly in the field of seismic analysis, the experimental data and earthquake damage observation data that can predict the degree of earthquake damage are scarce compared to theoretical studies. Although it is possible to establish a level of damage standard, research is insufficient in the case of low-rise brick structure buildings. In particular, in the Gyeongju and Pohang earthquakes in Korea, many low-rise buildings and structures suffered damage.

Disaster management is carried out in four stages: prevention, preparation, response, and recovery, and the state agencies are mainly responsible for the prevention/preparation stage, and the response/recovery is handled by dividing the roles of local governments. As for ICT technology for disaster response, disaster detection and response technology for disaster and disaster prediction using disaster response robot, disaster safety wireless communication network, monitoring service using CCTV, prediction service using mobile, and disaster and disaster prediction using computing are attracting attention. With the advent of the hyper-connected era centered on ICT recently, the need for convergence research using IoT (Internet of Things), 5G, artificial intelligence, and big data is increasing. Through the convergence of ICT technology, visualization and service technology elements for data sensing, communication/networking, calculation/processing, and monitoring are included, and these can be used as infrastructure and platforms for data processing and information expression in various other industries. The United States, which is actively developing and applying systems for disaster management, has developed and applied a disaster information system that evaluates and analyzes the degree of damage before and after natural disasters by developing the HAZUS system for disasters. Japan is using various ICT convergence technologies to respond to disasters by utilizing disaster ICT systems and robots. In addition, Europe is developing and operating a system for decision-making by the person in charge in case of a disaster through the development of a smart workpad system.

Among the four stages of disaster management, the response stage is to establish a disaster situation report system, establish an initial response system, cooperate with related organizations, establish a support system, emergency casting, create and operate disaster countermeasures and countermeasure headquarters, rapidly disseminate disaster warnings, establish a public-private cooperation system, It is related to coordination and support activities, such as operation of an emergency operation accident management organization. Technological research in response fields related to earthquakes began in earnest when seismic design standards were introduced into building design in the 1980s, but experimental and observational data were scarce. To this end, related organizations cooperated to develop earthquake disaster prevention policies and technologies. In the case of tsunami disaster prevention measures, the technology has reached the stage of stabilization. The level of disaster response technology in Korea is 59.4% on average compared to advanced countries, which is slightly lower than the average (60.2%) in the 11 major technology fields, and the technology gap compared to countries with the best technology is 8.8 years on average, which is still a large gap. The degree of infrastructure construction for disasters is very vulnerable, with meteorological disasters at 70.0, water disasters at 55.6, and geological disasters at 55.0 levels. In the "Environmental Sustainability Index (ESI)" released in January 2005, it is ranked 134th out of 146 countries.

Hereinafter, the contents of prior research related to the decision-making visualization system are introduced. Major countries such as Japan, the United States, Europe, and Australia, where earthquakes occur frequently, are operating the Earthquake Early Warning System and respond to S waves that cause large-scale damage by observing and analyzing P waves to warn them in advance. EEWS is divided into regional, front-detection, network-based and on-site systems, and the forward detection system analyzes the seismic information observed based on the seismic observation network operating in a wide area at the epicenter. As a system to warn the earthquake magnitude, expected arrival time, and acceleration of the target area, the domestic EEWS is similar to the forward detection system.

The national seismic observation network is operated by the Korea Meteorological Administration, the Korea Institute of Geoscience and Mineral Resources, and the Korea Atomic Energy Safety Technology Institute. The National Integrated Earthquake Observation Network shares seismic information acquired from 180 regular seismic observatories in real time, and performs forward detection through the earthquake early warning system, and performs system functions in specific areas together with disaster areas.

The US Federal Emergency Management Agency (FEMA)'s HAZUS-MH is a system that evaluates damage from various disasters. These systems use geographic information systems to perform damage assessments for various disasters. The evaluation results are used to support disaster decision-making in various fields such as insurance premium calculation, urban redesign, and risk area analysis. HAZUS-MH's disaster damage analysis system calculates the degree of earthquake damage by first calculating the physical damage to the facility, such as the type and use of the facility, based on the earthquake analysis data. After that, it analyzes a wide variety of disasters and presents the results by calculating the recovery costs for additional disasters such as collapse, flooding, and fire, which are secondary damages.

Looking at related studies, Ergo is conducting R&D at the National Center for Supercomputing Applications (NCSA) in the United States. Ergo is an object-oriented programming language (Java)-based various disaster damage assessment and analysis system, similar to HAZUS-MH. OpenQuake software GEM (Global Earthquake Model) and open software developers participate to calculate and evaluate earthquake hazard and earthquake risk. OpenQuake can use the OpenQuake Hazard and Risk libraries to calculate earthquake risk.

At home and abroad, HAZUS and Ergo are mostly used to analyze earthquake damage by city. In Korea, through the libraries provided by HAZUS and Ergo, it remains at the level of analyzing the fragility curve for structure types and attenuation equations according to the US ground. That is, in major countries, models based on standard data values and the US ground attenuation equation are used as default values. In the earthquake damage assessment system, the characteristics of the ground are used as a key factor, and if the value is incorrect, the analysis result is completely different. It is difficult to use in Korea because it uses standard data values for US facilities.

Shin, J. S., "Development on Technology of Real Time Seismic Data Analysis and Quantitative Earthquake Hazard Prediction", Korea Institute of Geoscience and Mineral Resources, pp. 1-279, 2008. Kim, H. R., Lee, S. G., Jung, E. A. and Yoon, H. E., "Establishment of Damage Assessment Inventory and Damage Analysis Methods for Estimating Economic Loss", Journal of the Korean Society of Hazard Mitigation, 18(3), pp. 125-136, 2018. Kim, K. Y., “Development of Real-time Seismic Risk Assessment System”, Journal of Digital Contents Society, 20(4), pp. 885-890, 2019. Lee, Y. L., Park. J.S., Oh. E. O., Jang. Y. Y., "Earthquake disaster response importance/risk and Geotechnical Information-based Disaster Decision Support System". Journal of the Korean Institute of Plant Engineering, 25(2), pp.25-31, 2020

The present invention has been devised to solve the above problems, and the present invention relates to a decision-making visualization system and method, and more specifically, to provide a decision-making visualization system and method for responding to an earthquake disaster. do.

However, the object of the present invention is not limited to the above-mentioned objects, and other objects not mentioned will be clearly understood by those skilled in the art from the following description.

A decision-making visualization system for earthquake disaster response according to an embodiment of the present invention includes: an earthquake data collection and processing system for collecting and storing basic data for evaluating the importance and risk of earthquake disaster-related data for a specific area; a risk assessment support system for composing an earthquake disaster inventory by refining the collected data according to importance and risk assessment criteria for disaster-related data; and a decision support system that visualizes the level of risk based on the refined collected data and displays the visualized information on the disaster information situation board.

Preferably, the visualized information is characterized in that at least one of map information, earthquake disaster stage information, earthquake basic information, facility information, importance information, LPI information, EAP information, and Shake Map-based EAP information.

Preferably, the decision support system includes a map information display module, an earthquake basic information display module, an earthquake disaster stage display module, a facility information display module, an importance information display module, a ground liquefaction index (LPI) information display module, facility EAP information It is characterized by displaying the information visualized on the situation board through the expression module and the Shake Map EAP information expression module.

Preferably, the map information display module expresses the 2D and 3D base map by applying the API of V-world to the map information, and expresses the GIS and facility information, or when an earthquake occurs, the dangerous area for each stage and reproduction cycle is displayed. characterized by expression.

Preferably, the earthquake basic information display module is characterized in that the basic information, the earthquake acceleration and epicenter location information (administrative region, direction, distance) provided by the Korea Meteorological Administration in connection with the expression.

Preferably, the earthquake disaster stage expression module divides the stages according to the crisis warning system in order to express the earthquake disaster stage, and when the event (earthquake) occurs, the analysis result information is the corresponding stage, and the data is expressed as a state change such as blinking, In the case of earthquake basic information, it is characterized in that it displays epicenter location information (administrative area (episode), direction, distance information) and earthquake acceleration information provided by the Korea Meteorological Administration.

Preferably, the earthquake disaster stage expression module is characterized in that it expresses facility information including facility name, classification, type, and category, and expresses importance rating information constructed in a distributed and shared inventory.

Preferably, the facility information display module expresses facility safety management status information provided by the facility integrated information management system to provide facility information, and the displayed facility information includes facility name, facility classification, facility type, type, It is characterized in that any one or more of the latest inspection and diagnosis date, the next inspection and diagnosis date, grade, and location are included.

Preferably, the importance information expression module divides the importance information, which quantitatively displays information on which the activities of local communities and industrial societies depend on major infrastructure, into four depths, in the order of facility classification, type, name, and importance information characterized by expression.

Preferably, the LPI information display module expresses the seismic response analysis result and the liquefaction risk, which are LPI information, and the seismic response analysis result measures the quantitative fluctuations in which the vibration system responds with time due to vibrations generated in the ground when an earthquake occurs. It is information analyzed mathematically based on the model, and the liquefaction risk is information calculated by judging the facility basic EAP using the possibility of liquefaction (ratio of vibrational shear stress and shear resistance stress) and LPI index. do.

Preferably, the facility EAP information display module is characterized in that it expresses EAP information by stage (interest, attention, alert, serious).

Preferably, the Shake Map EAP information display module expresses the seismic response analysis result, the possibility of liquefaction, and the LPI index, and calculates the calculated facility-based EAP based on this, and provides step-by-step information according to interest, attention, alertness, and severity. It is characterized in that it is provided to the manager.

An operation method of a decision-making visualization system for earthquake disaster response according to another embodiment of the present invention includes collecting and storing basic data for evaluating the importance and risk of earthquake disaster-related data for a specific area, collecting and storing seismic data; processing step; a risk assessment support step of composing an earthquake disaster inventory by refining the collected data according to the importance and risk assessment criteria for the collected disaster-related data; and a decision support step of visualizing the level of risk based on the refined collected data and displaying the visualized information on the disaster information situation board.

Preferably, the visualized information is characterized in that at least one of map information, earthquake disaster stage information, earthquake basic information, facility information, importance information, LPI information, EAP information, and Shake Map-based EAP information.

Preferably, in the decision support step, the decision support system includes a map information expression module, an earthquake basic information expression module, an earthquake disaster stage expression module, a facility information expression module, an importance information expression module, and a ground liquefaction index (LPI) information expression It is characterized by displaying the information visualized on the situation board through the module, facility EAP information expression module, and Shake Map EAP information expression module.

Preferably, the earthquake disaster stage expression module divides the stages according to the crisis warning system in order to express the earthquake disaster stage, and when the event (earthquake) occurs, the analysis result information is the corresponding stage, and the data is expressed as a state change such as blinking, In the case of basic earthquake information, it is characterized in that it displays epicenter location information (administrative area (episode), direction, distance information) and earthquake acceleration information provided by the Korea Meteorological Administration.

Preferably, the earthquake disaster stage expression module is characterized in that it expresses facility information including facility name, classification, type, and category, and expresses importance rating information constructed in a distributed and shared inventory.

Preferably, the importance information expression module divides the importance information, which quantitatively displays information on which the activities of local communities and industrial societies depend on major infrastructure, into four depths, in the order of facility classification, type, name, and importance information characterized by expression.

Preferably, the LPI information display module expresses the seismic response analysis result and the liquefaction risk, which are LPI information, and the seismic response analysis result measures the quantitative fluctuations in which the vibration system responds with time due to vibrations generated in the ground when an earthquake occurs. It is information analyzed mathematically based on the model, and the liquefaction risk is information calculated by judging the facility basic EAP using the possibility of liquefaction (ratio of vibrational shear stress and shear resistance stress) and LPI index. do.

Preferably, the facility EAP information display module is characterized in that it expresses EAP information by stage (interest, attention, alert, serious).

Preferably, the Shake Map EAP information display module expresses the seismic response analysis result, the possibility of liquefaction, and the LPI index, and calculates the calculated facility-based EAP based on this, and provides step-by-step information according to interest, attention, alertness, and severity. It is characterized in that it is provided to the manager.

A computer-readable recording medium according to another embodiment of the present invention is characterized in that the program for executing the operation method of the decision-making visualization system for the earthquake disaster response is recorded.

As described above, according to the present invention, a distributed and shared importance-based inventory construction and decision support system for helping managers in decision making and prompt response in the event of an earthquake disaster is presented. The importance-based inventory can be used as a reference for calculating the priority of protection in the event of an earthquake disaster by performing a facility importance evaluation in the social and economic aspects of the social infrastructure in the target area, and as a reference for future research on response to earthquake disasters. It is expected to be usable. In addition, through the decision-making support system for earthquake disaster response, when an earthquake disaster occurs in the target area, a map of liquefaction derived through simulation is provided, providing the manager with information on infrastructure based on importance and attribute information, which can be used as a reference material for decision-making. have. In addition, it is expected that it will be possible to use it as a reference for selecting shelters and evacuation routes by providing information on liquefaction risk areas to manage risks in disaster areas. In addition, it is possible to analyze and review additional earthquake-related data and to link the system for earthquake disaster response by linking with other systems of the smart sensor-based building safety intelligent information platform development project in the earthquake area.

Effects obtainable in the present invention are not limited to the aforementioned effects, and other effects not mentioned may be clearly understood by those of ordinary skill in the art to which the present disclosure belongs from the following description.

1 illustrates a decision-making visualization system for earthquake disaster response according to an embodiment of the present invention.
2 shows an example of a relationship code of V-world.
3 illustrates a detailed configuration of a decision support system 300 according to an embodiment of the present invention.
4 illustrates an example of a screen displaying earthquake disaster-related data.
5 is a diagram illustrating a method of operating a decision-making visualization system for earthquake disaster response according to another embodiment of the present invention.

Since the present invention can apply various transformations and can have various embodiments, specific embodiments are illustrated in the drawings and described in detail in the detailed description. However, this is not intended to limit the present invention to a specific embodiment, it should be understood to include all transformations, equivalents and substitutes included in the spirit and scope of the present invention. In describing the present invention, if it is determined that a detailed description of a related known technology may obscure the gist of the present invention, the detailed description thereof will be omitted.

The terms used in the present application are only used to describe specific embodiments, and are not intended to limit the present invention. The singular expression includes the plural expression unless the context clearly dictates otherwise. In the present application, terms such as "comprises" or "consisting of" are intended to designate that the features, numbers, steps, operations, components, parts, or combinations thereof described in the specification exist, but are not limited to one or more other It is to be understood that this does not preclude the possibility of addition or presence of features or numbers, steps, operations, components, parts, or combinations thereof.

In the present invention, a decision-making visualization system that converges ICT technology as an auxiliary means of policy-making to solve the difficulties in decision-making about the risk of damage and collapse of buildings in earthquake disasters in cities in the Korean Peninsula (eg, Gyeongju, Pohang) present. First, for the earthquake disaster decision support system in the decision-making visualization system of the present invention, an importance-based distributed and shared earthquake inventory is constructed. By selecting the construction target areas as the Test Bed, information on facilities such as social overhead capital facilities, energy/industrial facilities, and buildings is collected and the importance is calculated. For visualization for monitoring and earthquake disaster decision making, V-world is applied based on Open Layers of Java Script Library to display map data in an open source web browser. To provide a web-based geographic application API such as Google Map or Bing Map, a code that can be linked on the web is applied. Through this, we propose a decision-making visualization system that can be used as a reference for managers' decision-making at each stage of the earthquake.

1 illustrates a decision-making visualization system for earthquake disaster response according to an embodiment of the present invention. As shown in FIG. 1 , the visualization system includes an earthquake data collection and processing system 100 , a risk assessment support system 200 , and a decision support system 300 .

The earthquake data collection and processing system 100 collects and stores basic data for evaluating the importance and risk of earthquake disaster-related data for a specific area. The earthquake data collection and processing system 100 is configured to include a disaster inventory and open API module 110 for building a distributed information sharing inventory, and a big data collection and pre-processing module 120 for big data collection and pre-processing. The big data collection and pre-processing module 120 collects earthquake-related big data and performs pre-processing. The disaster inventory and open API module 110 includes disaster history, terrain information, facility information, social/economic importance, earthquake acceleration information, and the like.

The risk assessment support system 200 includes a risk assessment module 210 for deriving importance information and a risk assessment module 220 for deriving risk information for facilities stored in the disaster inventory and open API module 110, etc. is composed

The risk assessment support system 200 receives the disaster-related data collected from the earthquake data collection and processing system 100, and uses the importance assessment module 210 and the risk assessment module 220 according to the importance and risk assessment criteria. Refine the collected data such as facility information. For refinement, the importance weight for each collected data is applied. The collected data is refined based on importance and provided to the disaster inventory and open API module 110 to build an earthquake disaster inventory.

The decision support system 300 visualizes the level of risk based on the collected data refined through the visualization unit 310 , and displays the visualized information on the disaster information situation board display unit 320 .

Hereinafter, the configuration of the distributed information sharing inventory of the earthquake data collection and processing system 100 will be described. In the case of earthquake disasters, earthquake preparations for small-scale facilities were neglected because the frequency of earthquakes in Korea was small and it was judged that it was not a strong earthquake area. However, due to the relaxation of building regulations, houses and buildings densely located on a narrow site are adjacent to each other and are concentrated on steep slopes in mountainous areas, which can cause serious medical damage in earthquakes and other disasters. The socio-economic role of SOC facilities, which are the basis for a safe life of the people and solid economic growth, is very important, and an inventory was formed for the importance evaluation to measure the degree of influence of these facilities. The priority required for daily facility maintenance and disaster protection activities can be determined according to the results of the importance evaluation. The evaluation of the importance of major facilities in the socio-economic aspect was not studied in Korea, and the importance evaluation of the Disatster Mitigation Support System (DIMSuS), a disaster decision support system developed by Purdue University in the US, was mainly analyzed. DIMSuS is a decision support system for emergency management and disaster risk reduction due to disaster. It performs a function of interpreting threats or risks and providing information such as priorities for facility protection. In DIMSuS, importance is quantitatively the level of criticality that the activities of local communities (residents, hospitals, government offices, etc.) and industrial societies (agricultural industrial complexes, manufacturing industries, etc.) depend on major infrastructure (electricity, electricity, communication, etc.) It is an index marked with , and its importance is evaluated using information on mutual agreements such as regions, industrial societies, and major infrastructures in daily business activities. Based on the importance evaluation criteria of DIMSuS, the importance evaluation system is constructed according to the current status of domestic facilities. Heunghae-eup, Buk-gu Sinai-dong, Nam-gu Sinai-dong, etc. were selected as Test Beds, and information on evaluation factors of facilities such as social overhead capital facilities, energy/industrial facilities, and buildings are presented in Table 1 below (Calculation of importance evaluation factors for each facility ) is shown in

The facility importance evaluation factor is calculated considering the factors derived from the previously managed facility importance evaluation by size, and as shown in Table 2 below (an example of evaluating the importance of DIMSuS through the AHP method), AHP (Analytic Hierarchy Process) : An example of social and economic contribution to commuting, local business, medical service, etc. is derived through the analytical stratification method) method.

Relative Level of Criticality for each facility was derived by multiplying the ratio and weight of social and economic contribution, and the level of support for each facility (AL, alternatives). In addition, evaluation criteria for each detailed facility were calculated, such as road bridges, railway bridges, water and sewage, communication/broadcasting facilities, power generation/electricity facilities, transmission and substation facilities, industrial facilities, apartment houses, multi-use facilities, and evacuation facilities.

In order to select important infrastructure in the target area, information on 28,862 facilities in Buk-gu, Pohang-si based on building ledger information is collected as shown in Table 3 below (example of collection of facility (road and bridge) information), and Table 4 (road and bridge evaluation) The method of evaluation of importance suggested in the standard) was reflected. FMS facility safety ratings, civil defense evacuation facilities 118 types, outdoor evacuation facilities 409 types, indoor relief centers 119 types, and temporary housing facilities for victims of 119 types were collected for 584 facilities in Pohang City and 195 facilities in Buk-gu in Pohang City. Various information was collected and classified, such as GIS information (precision soil map, land cover map, borehole information, etc.), Statistics Korea information (business labor entity status, building status, housing census, etc.), facility specifications (real estate general ledger information, etc.) . Information such as the name, classification, type, classification, safety level, location, and type of the collected facilities was classified, and evaluation items reflecting the opinions of facility management experts were determined. Based on the results reflecting the importance evaluation, data provision items for decision-making support for responding to earthquake disasters were derived as shown in Table 5 (EAP information based on LPI (Liquefaction Potential Index) of facilities).

Based on the results reflecting the importance assessment, the decision-making visualization system for earthquake disaster response was constructed as shown in FIG. 1 in consideration of the linkage to utilize the data provision items for decision-making support for response in the event of an earthquake disaster in the decision-making visualization system. .

Hereinafter, the expression of the visualization function of the decision support system 300 will be described.

The decision-making support system 300 is a system that provides information that can be used as reference material for decision-making of managers at each stage of the earthquake. The decision support system 300 visualizes the degree of risk based on the collected data, and displays the visualized information on the disaster information situation board display unit 320 . A screen UI is shown in FIG. 4 to display earthquake disaster information. (FIG. 4A is an exemplary 3D main screen, FIG. 4B is an exemplary 2D main screen, and FIG. 4C is an exemplary map information display screen, FIG. 4d is an example of an earthquake basic information display screen, FIG. 4e is an example of an earthquake disaster stage display screen, FIG. 4f is an example of a facility information display screen, FIG. 4g is an example of an importance information display screen, and FIG. 4h is LPI information It is an exemplary display screen, FIG. 4i is an exemplary EAP information display screen, FIG. 4J is an exemplary Shake Map-based EAP information display screen, FIG. 4K is an exemplary earthquake acceleration map display screen, FIG. 4L is a Shake Map display screen This is an example diagram.) The UI (integrated situation board) displays map information, earthquake disaster stage information, earthquake basic information, facility information, importance information, LPI information, EAP (Emergency Response Plan) information, and Shake Map-based EAP information. The decision support system 300 analyzes map information, earthquake disaster stage information, earthquake basic information, facility information, importance information, LPI information, EAP information, and Shake Map-based EAP information to classify it into depth and display the information. do. To this end, V-World is applied and displayed based on OpenLayers on the integrated situation board 320, and information for each event is displayed. In other words, V-world is applied based on OpenLayers of JavaScript Library to display map data in an open source web browser. In order to provide a web-based geography application API such as Google Map or Bing Map, a code that can be linked on the web is applied as shown in FIG. 2 .

2 shows an example of a relationship code of V-world.

3 illustrates a detailed configuration of a decision support system 300 according to an embodiment of the present invention.

Hereinafter, a function for each detailed configuration of the decision support system 300 will be described. As shown in FIG. 3 , the decision support system 300 includes a visualization unit 310 and a disaster information situation board display unit 320 .

FIG. 4A shows a 3D main screen of the status board display unit, and FIG. 4B shows a 2D main screen.

The visualization unit 310 includes a map information display module 301, an earthquake basic information display module 302, an earthquake disaster stage display module 303, a facility information display module 304, an importance information display module 305, the ground Earthquake disaster-related data is displayed on the situation board display unit 320 through eight expression modules such as liquefaction index (LPI) information expression module 306, facility EAP information expression module 307, and Shake Map EAP information expression module 308. do.

The map information display module 301 applies the API of V-world to map information to display 2D and 3D base maps, and displays GIS and facility information. In addition, in the event of an earthquake, hazardous areas are displayed (in grid units) by stage and by recurrence period. 4C illustrates an example of a screen displaying map information.

Earthquake basic information display module 302 displays the basic information in connection with earthquake acceleration and epicenter location information (administrative region, direction, distance) provided by the Korea Meteorological Administration. 4D shows an example of a screen displaying basic earthquake information. 4K illustrates an example of a screen displaying an earthquake acceleration map.

Earthquake disaster stage display module 303 classifies stages according to the crisis warning system of the National Crisis Management Basic Guidelines in order to express the earthquake disaster stage, and when an event (earthquake) occurs, the state changes such as blinking when the analysis result information is the corresponding stage In the case of basic earthquake information, it displays epicenter location information (administrative area (episode), direction, distance information) and earthquake acceleration information provided by the Korea Meteorological Administration. In addition, facility information such as facility name, classification, type, and category is displayed and provided as importance grade information built from distributed and shared inventory. The earthquake disaster stage expression module 330 analyzes earthquake information in the event of an earthquake in the earthquake disaster stage and classifies the four stages of interest, caution, alertness, and severity by color by classifying the stages according to the crisis warning system of the National Crisis Management Guidelines. Disaster information is displayed through blinking.

The stage of interest has signs, but the level of activity is low and the possibility of developing into a national crisis in the near term is relatively low (Moderate). When an event (earthquake) occurs, when the analysis result information indicates the relevant stage, blinking and It expresses the same state change. The caution stage is a state in which symptom activity is relatively active and a certain level of tendency that can develop into a national crisis is shown (Substantial). When an event (earthquake) occurs, when the analysis result information indicates the relevant stage, such as blinking express a change in state. The alert stage is a state in which symptom activity is very active and the development speed and tendency are remarkable, and there is a strong possibility of developing into a national crisis (Severe). When an event (earthquake) occurs, when the analysis result information indicates the relevant stage State changes such as blinking are expressed. Severe stage is a state in which the occurrence of a crisis is certain to occur (Critical) with very active symptom activity and a serious level of development speed and tendency. When an event (earthquake) occurs, when the analysis result information indicates the relevant stage, such as blinking express a change in state. Figure 4e shows an example of a screen expressing the earthquake disaster stage.

The facility information display module 304 displays facility safety management status information provided by the facility integrated information management system to provide facility information. The displayed facility information includes facility name, facility classification, facility type, type, latest inspection and diagnosis date, next inspection and diagnosis date, grade, location, etc. 4F shows an example of a screen displaying facility information.

The importance information expression module 305 is the degree to which the activities of the local community (residents, hospitals, government offices, etc.) and industrial society (agricultural and industrial complexes, textile factories, manufacturing businesses, etc.) depend on major infrastructure (banks, electric power, telecommunications, etc.) (Level of Criticality) is a quantitative indicator that expresses the ratio and weight of social and economic contribution, and the level of information determined by reflecting expert opinions on the level of support for each facility. The importance information, which quantitatively displays information on which the activities of local communities and industrial societies depend on major infrastructure, reflects the standards of Attached Table 1 of the 'Enforcement Decree of the Special Act on Safety Management of Facilities' and is divided into 4 depths, They are displayed in the order of name and importance information. 4G illustrates an example of a screen displaying importance information.

The LPI information display module 306 displays the seismic response analysis result and liquefaction risk, which are LPI information, and the seismic response analysis result is based on the dynamics model based on the quantitative fluctuations that the vibration system responds with time due to vibrations generated in the ground when an earthquake occurs. The liquefaction risk is information calculated by judging the basic EAP of a facility by using the possibility of liquefaction (ratio of vibrational shear stress and shear resistance stress) and LPI index. 4H shows an example of a screen displaying LPI information.

The facility EAP information display module 307 expresses EAP information by stage (interest, attention, alert, serious). In the interest stage, the EAP-related information (facilities repair and reinforcement measures) designed in the event of an external displacement review result of the target facility, abnormal changes over time, and external threat factors is expressed in text. In the caution stage, if some damage (visible part) of the target facility has occurred, but there is no sign of further damage and no additional work is required for restoration, the designed EAP information (facilities repair and reinforcement measures) is displayed as text. In the alert stage, when some damage (visible part) of the target facility has occurred and a separate work is required for restoration, the designed EAP information (facility repair and reinforcement measures) is displayed in text. In the severe stage, when serious damage to the target facility occurs or the function is completely lost, EAP-related information (facilities repair and reinforcement measures) is displayed in text. 4I illustrates an example of a screen displaying facility EAP information.

The Shake Map EAP information display module 308 expresses the earthquake response analysis result, the possibility of liquefaction, and the LPI index, and calculates the calculated facility-based EAP based on this, and provides step-by-step information according to interest, caution, alertness, and severity to the manager. In addition, the contents of facility repair and reinforcement measures, measures to protect and respond to citizens, and guidelines for civic action are expressed step by step. 4j shows an example of a screen displaying Shake Map EAP information. 4L shows an example of a screen displaying a Shake Map.

5 is a diagram illustrating a method of operating a decision-making visualization system for earthquake disaster response according to another embodiment of the present invention.

As shown in FIG. 5 , the operation method of the decision-making visualization system for earthquake disaster response includes collecting and storing basic data such as facility information for evaluating the importance and risk of earthquake disaster-related data for a specific area and storing it. processing step (S100); A risk assessment support step of composing an earthquake disaster inventory by refining the collected data according to the importance and risk assessment criteria for the collected disaster-related data (S200); and a decision support step (S300) of visualizing the level of risk based on the refined collected data, and displaying the visualized information on the disaster information situation board; may be configured to include. The visualized information may be any one or more of map information, earthquake disaster stage information, earthquake basic information, facility information, importance information, LPI information, EAP information, and Shake Map-based EAP information.

In the decision support step, the decision support system includes a map information expression module, an earthquake basic information expression module, an earthquake disaster stage expression module, a facility information expression module, an importance information expression module, a ground liquefaction index (LPI) information expression module, a facility EAP Information display module, Shake Map EAP Information display module displays visualized information on the situation board. The earthquake disaster stage expression module divides the stages according to the crisis warning system in order to express the earthquake disaster stage, and when an event (earthquake) occurs, when the analysis result information is the corresponding stage, the data is expressed by state changes such as blinking, and the basic earthquake information In this case, it displays the epicenter location information (administrative area (episode), direction, distance information) and earthquake acceleration information provided by the Korea Meteorological Administration. The earthquake disaster stage expression module displays facility information including facility name, classification, type, and classification, and expresses importance rating information built in a distributed and shared inventory. The importance information expression module divides the importance information that quantitatively displays the information on which the activities of the local community and the industrial society depend on the main infrastructure into four depths, and displays the facility classification, type, name, and importance information in order. The LPI information display module expresses the seismic response analysis result and liquefaction risk, which are LPI information, and the seismic response analysis result is based on a dynamic model based on the quantitative fluctuations that the vibration system responds to over time by vibrations generated in the ground when an earthquake occurs. It is information analyzed mathematically, and the liquefaction risk is information calculated by judging the basic EAP of a facility using the possibility of liquefaction (ratio of vibrational shear stress and shear resistance stress) and LPI index. The facility EAP information display module expresses EAP information by stage (interest, caution, alert, serious). The Shake Map EAP information expression module expresses the earthquake response analysis result, the possibility of liquefaction, and the LPI index, and calculates the calculated facility basic EAP based on this, and provides step-by-step information according to interest, caution, alertness, and severity to the manager. .

In order to verify the performance of the present invention, the average display time for quickly expressing earthquake disaster situation information was tested. Based on the web-based system, the operating speed of the system was measured and analyzed 10 times, and as a result, it took an average of 187.74ms, which took 0.19 seconds on average, thus securing the speed of displaying earthquake disaster information.

In the present invention, a distributed and shared importance-based inventory configuration and decision support system for assisting managers in decision-making and prompt response in the event of an earthquake disaster is presented. The importance-based inventory can be used as a reference for calculating the priority of protection in the event of an earthquake disaster by performing an assessment of the importance of the facilities in the social and economic aspects of the social infrastructure in the target area, and as a reference for future research on response to earthquake disasters. It is expected to be usable. In addition, through the decision-making support system for earthquake disaster response, when an earthquake disaster occurs in the target area, a map of liquefaction derived through simulation is provided, providing the manager with information on infrastructure based on importance and attribute information, which can be used as a reference material for decision-making. have. In addition, it is expected that it will be possible to use it as a reference for selecting shelters and evacuation routes by providing information on liquefaction risk areas to manage risks in disaster areas. In addition, it is possible to analyze and review additional earthquake-related data and to link the system for earthquake disaster response by linking with other systems of the smart sensor-based building safety intelligent information platform development project in the earthquake area.

On the other hand, the operating method of the decision-making visualization system for earthquake disaster response according to an embodiment of the present invention is implemented in the form of a program command that can be executed through various electronic information processing means and recorded in a storage medium. . The storage medium may include program instructions, data files, data structures, etc. alone or in combination.

The program instructions recorded in the storage medium may be specially designed and configured for the present invention, or may be known and available to those skilled in the software field. Examples of the storage medium include magnetic media such as hard disks, floppy disks and magnetic tapes, optical media such as CD-ROMs and DVDs, and magneto-optical media such as floppy disks. (magneto-optical media) and hardware devices specially configured to store and execute program instructions, such as ROM, RAM, flash memory, and the like. Examples of the program instruction include not only machine code such as generated by a compiler, but also a device for electronically processing information using an interpreter or the like, for example, a high-level language code that can be executed by a computer.

Although the above has been described with reference to the preferred embodiment of the present invention, those of ordinary skill in the art can variously change the present invention within the scope without departing from the spirit and scope of the present invention described in the claims below. It will be appreciated that modifications and variations are possible.

Claims (22)

In the decision-making visualization system for earthquake disaster response,
It collects and stores any one or more of disaster history, topographic information, facility information, social/economic importance, earthquake acceleration information, and earthquake-related big data, which are basic data for evaluating the importance and risk of earthquake disaster-related data for a specific region. seismic data collection and processing system;
A risk assessment support system for composing an earthquake disaster inventory by applying a weighting for each collected data according to the importance and risk assessment criteria for the collected disaster-related data and refining it based on the importance; and
Visualize risk based on collected data refined based on importance, and include any one or more of map information, earthquake disaster stage information, earthquake basic information, facility information, importance information, LPI information, EAP information, and Shake Map-based EAP information Map information display module, earthquake basic information display module, earthquake disaster stage display module, facility information display module, importance information display module, ground liquefaction index (LPI) information display module, facility EAP information display module Decision-making visualization system for earthquake disaster response, characterized in that it includes; a decision support system that displays on the disaster information situation board through any one or more selected among the Shake Map EAP information display module.
delete delete The method of claim 1,
The map information display module is
By applying V-world's API to map information, display 2D and 3D Base Map, display GIS and facility information,
Decision-making visualization system for earthquake disaster response, characterized in that when an earthquake occurs, the risk target area is displayed for each stage and re-enactment cycle.
The method of claim 1,
The earthquake basic information display module is
Decision-making visualization system for earthquake disaster response, characterized in that it connects and displays earthquake acceleration and epicenter location information (administrative district, direction, distance) provided by the Korea Meteorological Administration, which is basic information.
The method of claim 1,
The earthquake disaster stage expression module is
In order to express the earthquake disaster stage, the stage is divided according to the crisis warning system, and when an event (earthquake) occurs, the data is expressed by state changes such as blinking if the analysis result information is the corresponding stage. For basic earthquake information, the epicenter location provided by the Korea Meteorological Administration Decision-making visualization system for earthquake disaster response, characterized in that it displays information (administrative region (episode), direction, distance information) and earthquake acceleration information
7. The method of claim 6,
The earthquake disaster stage expression module is
Decision-making visualization system for earthquake disaster response, characterized in that it displays facility information including facility name, classification, type, and category, and displays importance grade information built in distributed and shared inventory.
The method of claim 1,
The facility information expression module is
To provide facility information, the facility safety management status information provided by the facility integrated information management system is displayed,
Decision-making visualization system for earthquake disaster response, characterized in that the displayed facility information includes any one or more of facility name, facility classification, facility type, type, latest inspection and diagnosis date, next inspection and diagnosis date, grade, and location .
The method of claim 1,
The importance information expression module is
Earthquake disaster response, characterized in that the importance information, which quantitatively displays information on which the activities of local communities and industrial societies depend on major infrastructure, is divided into four depths, and is expressed in the order of facility classification, type, name, and importance information decision visualization system for
The method of claim 1,
The LPI information expression module is
It expresses the seismic response analysis result and liquefaction risk level, which is LPI information.
The seismic response analysis result is information obtained by mathematically analyzing the quantitative fluctuations that the vibration system responds over time to the vibrations generated in the ground when an earthquake occurs, based on a dynamic model,
The liquefaction risk is the probability that liquefaction will occur (ratio of vibrational shear stress and shear resistance stress), and the LPI index is used to determine the basic EAP of the facility, and the decision-making visualization system for earthquake disaster response, characterized in that it is information calculated.
The method of claim 1,
The facility EAP information expression module is
Decision-making visualization system for earthquake disaster response, characterized in that it expresses EAP information by stage (interest, caution, alert, serious).
The method of claim 1,
The Shake Map EAP information expression module is
The earthquake response analysis result, the possibility of liquefaction, and the LPI index are expressed, and the calculated facility basic EAP is calculated based on the result of the earthquake response, which provides the manager with step-by-step information according to interest, caution, alertness, and severity. decision visualization system for
In the operation method of the decision-making visualization system for earthquake disaster response,
It collects and stores any one or more of disaster history, topographic information, facility information, social/economic importance, earthquake acceleration information, and earthquake-related big data, which are basic data for evaluating the importance and risk of earthquake disaster-related data for a specific region. seismic data collection and processing steps;
A risk assessment support step of composing an earthquake disaster inventory by applying an importance weight for each collected data according to the importance and risk assessment criteria to the collected disaster-related data and refining it based on the importance; and
Visualize the risk based on the collected data refined based on importance, and include any one or more of map information, earthquake disaster stage information, earthquake basic information, facility information, importance information, LPI information, EAP information, and Shake Map-based EAP information Map information display module, earthquake basic information display module, earthquake disaster stage display module, facility information display module, importance information display module, ground liquefaction index (LPI) information display module, facility EAP information display module , A decision support step of displaying on the disaster information situation board through any one or more selected among the Shake Map EAP information display module; Operation method of a decision-making visualization system for earthquake disaster response, comprising: a.
delete delete 14. The method of claim 13,
The earthquake disaster stage expression module is
In order to express the earthquake disaster stage, the stage is divided according to the crisis warning system, and when an event (earthquake) occurs, the data is expressed by state changes such as blinking if the analysis result information is the corresponding stage. For basic earthquake information, the epicenter location provided by the Korea Meteorological Administration An operation method of a decision-making visualization system for earthquake disaster response, characterized in that it displays information (administrative region (episode), direction, distance information) and earthquake acceleration information.
17. The method of claim 16,
The earthquake disaster stage expression module is
An operating method of a decision-making visualization system for earthquake disaster response, characterized in that the facility information including facility name, classification, type, and category is displayed and the importance level information constructed in the distributed and shared inventory is displayed.
14. The method of claim 13,
The importance information expression module is
Earthquake disaster response, characterized in that the importance information, which quantitatively displays information on which the activities of local communities and industrial societies depend on major infrastructure, is divided into four depths, and is expressed in the order of facility classification, type, name, and importance information Operation method of decision visualization system for
14. The method of claim 13,
The LPI information expression module is
It expresses the seismic response analysis result and liquefaction risk level, which is LPI information.
The seismic response analysis result is information obtained by mathematically analyzing the quantitative fluctuations that the vibration system responds over time to the vibrations generated in the ground when an earthquake occurs, based on a dynamic model,
The risk of liquefaction is the probability of occurrence of liquefaction (ratio of vibrational shear stress and shear resistance stress) and LPI index to determine the basic EAP of the facility and calculate the information of the decision-making visualization system for responding to an earthquake disaster how it works.
14. The method of claim 13,
The facility EAP information expression module is
Operation method of a decision-making visualization system for earthquake disaster response, characterized in that it expresses EAP information by stage (interest, caution, alert, serious).
14. The method of claim 13,
The Shake Map EAP information expression module is
The earthquake response analysis result, the possibility of liquefaction, and the LPI index are expressed, and the calculated facility basic EAP is calculated based on the result of the earthquake response, which provides the manager with step-by-step information according to interest, caution, alertness, and severity. Operation method of decision visualization system for
A computer-readable recording medium in which a program for executing the method of any one of claims 13 and 16 to 21 is recorded.

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