KR-102961998-B1 - Method and system for supporting field operations using by risk level assessment of earthquake disaster area
Abstract
A field support system through earthquake disaster regional risk assessment according to an embodiment of the present invention comprises: an information collection device that collects earthquake information including geological data and regional fault structures for each region, or collects earthquake disaster-related observation information in real time from earthquake-related observation devices; an earthquake disaster assessment device that calculates the damage risk of each building by combining the collected geological data with the building structure type, seismic design standards, and earthquake vulnerability data, and assesses the earthquake risk of a region by collecting and analyzing geological data and regional fault structures for regions where the probability of an earthquake occurring is higher than a standard; and a field support device that visualizes the building damage risk calculated for each region into an earthquake disaster risk map through a grid-based spatial analysis technique, determines the need for priority response in a specific region based on the visualized earthquake disaster risk map, supports the establishment of seismic reinforcement and disaster prevention plans, and constructs a platform to provide the evaluated data and visualizations in real time to regions, the government, and related agencies. It may include a user terminal device that receives earthquake risk assessment results for the relevant area from the earthquake hazard assessment device, receives an earthquake hazard risk map from the field support device, or receives results of a comprehensive analysis of the assessed data and visualization.
Inventors
- 김혜원
- 김금지
- 임은옥
- 윤봉식
- 박병철
Dates
- Publication Date
- 20260511
- Application Date
- 20250512
Claims (10)
- A method for evaluating regional risk levels due to earthquake disasters in a system including an information collection device, an earthquake disaster evaluation device, a field support device, and a user terminal device, and for providing field support based thereon, The above system, (a) A step of collecting geological data and regional fault structures from the information collection device for areas where the probability of an earthquake occurring is higher than a standard, and analyzing the information collected from the earthquake hazard assessment device to assess the earthquake risk of the area; (b) a step of calculating the risk of damage to each building by combining the collected geological data with the building's structural type, seismic design standards, and seismic vulnerability data; (c) A step of visualizing the building damage risk calculated by region into an earthquake disaster risk map using a grid-based spatial analysis technique; (d) a step of determining the need for priority response in specific areas based on a visualized earthquake hazard risk map and supporting the establishment of seismic reinforcement and disaster prevention plans; and (e) including the step of establishing a platform to provide the evaluated data and visualizations in real time to regions, governments, and relevant agencies through comprehensive analysis, The above step (a) is, Collect earthquake information including geological data and regional fault structures for each region, calculate seismic source variables including slip, rupture velocity, and peak slip velocity based on the magnitude of the earthquake fault and the location of the earthquake fault rupture initiation point according to the collected earthquake information, calculate parameters including average slip, average rupture velocity, average peak slip velocity, standard deviation of slip, standard deviation of rupture velocity, and standard deviation of peak slip velocity using the calculated seismic source variables, and evaluate the earthquake risk of the region using the calculated parameters, or In the stratigraphic information included in the above earthquake information, the stratigraphic layer of the fracture branch located at the highest position among multiple fracture branches formed by fractures in the stratigraphic layer is set as the main fault plane; the mobility of the auxiliary fault plane is determined based on the drop of at least one auxiliary fault plane adjacent to the fracture branch relative to the set main fault plane; a fault attitude among strike, dip, mobility, survey point, and geographical coordinates for the main fault plane and each auxiliary fault plane is derived from the mobility of each auxiliary fault plane, and the earthquake fault plane where a linear earthquake source occurred is determined based on the derived fault attitude; and the earthquake risk of the corresponding area is evaluated according to the number of determined earthquake fault planes. The above step (b) is, Based on the structural system (structural material), year of approval for use, number of floors, gross floor area, and use of the building register, the building fire-resistant structure type is set as one of fire-resistant tank, semi-fire-resistant tank, fireproof tank, or wooden structure; clusters (groups) are established by comparing the fire spread distance according to the set building fire-resistant structure type with the adjacent distance between buildings; the fire loss rate is calculated by machine learning the building fire loss based on the building register; the ratio of the lost building area corresponding to the average fire loss rate within the cluster relative to the combustion resistance rate (CVF) is calculated; and a machine learning-based building fire loss evaluation module is applied to each of the above clusters to calculate the damage risk of each building within the cluster based on the evaluation of the building earthquake fire loss rate by region and cluster. The above step (c) is, A shake map is generated by reflecting earthquake magnitude, latitude, and longitude values into map data; peak ground velocity (PGV) and peak ground acceleration (PGA) are calculated based on the shake map; the impact received by a building from the earthquake is calculated based on the building's location and the PGA data; the degree of damage to the building according to the impact is calculated based on the building's durability information, including building register information, seismic design information, and facility safety management grades; the risk of building damage according to the degree of damage is stored in a database; and the calculated risk of building damage is visualized and provided as an earthquake disaster risk map using a grid-based spatial analysis technique. The above step (d) is, Regarding earthquakes, categories are divided into pre-occurrence, post-occurrence, and periodic stages, and disaster prevention plan information is generated by classifying each category by the public, practitioners, and experts. The aforementioned disaster prevention plan information for the public includes information on earthquake occurrence, earthquake action guidelines, earthquake damage status, information related to support for disaster victims, reliable sources of earthquake disaster prevention information, evacuation routes and traffic conditions, information related to shelters, and information related to the restoration of damaged buildings; the aforementioned information prior to the occurrence of the earthquake includes 'earthquake action guidelines for high-rise buildings,''evacuation guidelines for foreigners residing in Korea,''outdoor earthquake action guidelines,''earthquake action guidelines while driving,' and 'earthquake action guidelines while using public transportation'; the aforementioned short-term information immediately after the occurrence of the earthquake includes 'action guidelines after returning home,' which contains rules of conduct for citizens who have evacuated to shelters due to the earthquake and safely returned to their residential facilities; and the aforementioned long-term information after the occurrence of the earthquake includes 'residential facility linkage support' for citizens who are unable to return to their residential facilities because their residential facilities have been partially or completely destroyed. The disaster prevention plan information for the aforementioned working-level personnel includes, for local government working-level personnel, 'preparation and improvement of detailed manuals for the implementation of earthquake-related tasks'; for the central government, 'active support and cooperation regarding matters difficult to resolve independently, including budget and personnel'; for victims and displaced persons, 'understanding regarding the use of relief facilities and concessions and consideration among displaced persons'; and for earthquake experts and researchers, 'research and analysis of potential future earthquakes following the occurrence of an earthquake'; in the case of facility managers, it includes, for local government working-level personnel, 'materials and repetitive training related to earthquake-related tasks'; for the central government, 'support for rapid earthquake response and recovery'; for victims and displaced persons, 'maintaining order within indoor relief shelters and concessions and consideration among displaced persons'; and for earthquake experts and researchers, 'research and development related to seismic design and reinforcement'; it includes 'preparation of emergency fire access roads' related to the earthquake disaster prevention plan prior to the occurrence of the aforementioned earthquake; and immediately after the occurrence of the aforementioned earthquake, it includes 'conducting an emergency risk assessment' and 'providing information on the possibility of medical support from other regions'; and the above In the long term following the occurrence of an earthquake, including 'damage to industrial facilities' and 'securing residential facilities,' The disaster prevention plan information for the aforementioned expert includes, prior to the occurrence of the said earthquake, basic earthquake research information including 'information on earthquake occurrence cycles by fault,''maximum possible earthquake magnitudes by fault,' and 'information on fault activity rates' regarding the fault causing the said earthquake; geological and geotechnical survey data including 'earthquake-induced landslides,''updating of steep slope risk maps,''3D underground faults of the Korean Peninsula,' and 'development of an integrated velocity structure model'; information related to earthquake research and experimental facilities including 'representative domestic earthquake magnitudes,''calculation of magnitude correction factors,''development of damping formulas based on domestic records,' and 'development of seismic reinforcement technologies for structural materials'; and information on securing earthquake monitoring capabilities including 'research on the development of early warning technologies,''establishment of a preemptive response system through earthquake damage scenarios,' and 'damage analysis for facility safety assessment,' and immediately after the occurrence of the said earthquake, 'seismic wave spectrum analysis.' The above step (e) is, Steps (a) through (d) above are executed based on an open Service Oriented Architecture, Collecting real-time observation information related to earthquake hazards from earthquake-related observation devices through a service infrastructure interface, or collecting earthquake hazard information including geological data and regional fault structures for each region, Using internal integration through an information hub, earthquake disaster information collected from the above service infrastructure interface is transmitted to each system, and By analyzing the internal linkage to the information linkage interface through the process business processing interface, the process business for steps (a) through (d) is processed by a predefined process, and Controlling and operating the entire interface in an integrated manner through the operational user interface, Methods for supporting operations through earthquake disaster regional risk assessment.
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- An information collection device that collects earthquake information including geological data and regional fault structures for each region, or collects earthquake disaster-related observation information in real time from earthquake-related observation devices; An earthquake hazard assessment device that calculates the damage risk of each building by combining collected geological data with building structural types, seismic design standards, and earthquake vulnerability data, and evaluates the earthquake risk of a region by collecting and analyzing geological data and regional fault structures for regions where the probability of earthquake occurrence is higher than the standard; A field support device for constructing a platform that visualizes the building damage risk calculated for each of the above regions into an earthquake hazard risk map using a grid-based spatial analysis technique, determines the need for priority response in specific regions based on the visualized earthquake hazard risk map, supports the establishment of seismic reinforcement and disaster prevention plans, and provides the evaluated data and visualizations in real time to regions, the government, and related agencies through comprehensive analysis; and A user terminal device that receives earthquake risk assessment results for the relevant region from the earthquake hazard assessment device, receives an earthquake hazard risk map from the field support device, or receives results of a comprehensive analysis of the assessed data and visualization; In a field support system through earthquake disaster regional risk assessment, including, The above-mentioned field support system, (a) A step of collecting geological data and regional fault structures from the information collection device for areas where the probability of an earthquake occurring is higher than a standard, and analyzing the information collected from the earthquake hazard assessment device to assess the earthquake risk of the area; (b) a step of calculating the risk of damage to each building by combining the collected geological data with the building's structural type, seismic design standards, and seismic vulnerability data; (c) A step of visualizing the building damage risk calculated by region into an earthquake disaster risk map using a grid-based spatial analysis technique; (d) a step of determining the need for priority response in specific areas based on a visualized earthquake hazard risk map and supporting the establishment of seismic reinforcement and disaster prevention plans; and (e) including the step of establishing a platform to provide the evaluated data and visualizations in real time to regions, governments, and relevant agencies through comprehensive analysis, The above step (a) is, Collect earthquake information including geological data and regional fault structures for each region, calculate seismic source variables including slip, rupture velocity, and peak slip velocity based on the magnitude of the earthquake fault and the location of the earthquake fault rupture initiation point according to the collected earthquake information, calculate parameters including average slip, average rupture velocity, average peak slip velocity, standard deviation of slip, standard deviation of rupture velocity, and standard deviation of peak slip velocity using the calculated seismic source variables, and evaluate the earthquake risk of the region using the calculated parameters, or In the stratigraphic information included in the above earthquake information, the stratigraphic layer of the fracture branch located at the highest position among multiple fracture branches formed by fractures in the stratigraphic layer is set as the main fault plane; the mobility of the auxiliary fault plane is determined based on the drop of at least one auxiliary fault plane adjacent to the fracture branch relative to the set main fault plane; a fault attitude among strike, dip, mobility, survey point, and geographical coordinates for the main fault plane and each auxiliary fault plane is derived from the mobility of each auxiliary fault plane, and the earthquake fault plane where a linear earthquake source occurred is determined based on the derived fault attitude; and the earthquake risk of the corresponding area is evaluated according to the number of determined earthquake fault planes. The above step (b) is, Based on the structural system (structural material), year of approval for use, number of floors, gross floor area, and use of the building register, the building fire-resistant structure type is set as one of fire-resistant tank, semi-fire-resistant tank, fireproof tank, or wooden structure; clusters (groups) are established by comparing the fire spread distance according to the set building fire-resistant structure type with the adjacent distance between buildings; the fire loss rate is calculated by machine learning the building fire loss based on the building register; the ratio of the lost building area corresponding to the average fire loss rate within the cluster relative to the combustion resistance rate (CVF) is calculated; and a machine learning-based building fire loss evaluation module is applied to each of the above clusters to calculate the damage risk of each building within the cluster based on the evaluation of the building earthquake fire loss rate by region and cluster. The above step (c) is, A shake map is generated by reflecting earthquake magnitude, latitude, and longitude values into map data; peak ground velocity (PGV) and peak ground acceleration (PGA) are calculated based on the shake map; the impact received by a building from the earthquake is calculated based on the building's location and the PGA data; the degree of damage to the building according to the impact is calculated based on the building's durability information, including building register information, seismic design information, and facility safety management grades; the risk of building damage according to the degree of damage is stored in a database; and the calculated risk of building damage is visualized and provided as an earthquake disaster risk map using a grid-based spatial analysis technique. The above step (d) is, Regarding earthquakes, categories are divided into pre-occurrence, post-occurrence, and periodic stages, and disaster prevention plan information is generated by classifying each category by the public, practitioners, and experts. The aforementioned disaster prevention plan information for the public includes information on earthquake occurrence, earthquake action guidelines, earthquake damage status, information related to support for disaster victims, reliable sources of earthquake disaster prevention information, evacuation routes and traffic conditions, information related to shelters, and information related to the restoration of damaged buildings; the aforementioned information prior to the occurrence of the earthquake includes 'earthquake action guidelines for high-rise buildings,''evacuation guidelines for foreigners residing in Korea,''outdoor earthquake action guidelines,''earthquake action guidelines while driving,' and 'earthquake action guidelines while using public transportation'; the aforementioned short-term information immediately after the occurrence of the earthquake includes 'action guidelines after returning home,' which contains rules of conduct for citizens who have evacuated to shelters due to the earthquake and safely returned to their residential facilities; and the aforementioned long-term information after the occurrence of the earthquake includes 'residential facility linkage support' for citizens who are unable to return to their residential facilities because their residential facilities have been partially or completely destroyed. The disaster prevention plan information for the aforementioned working-level personnel includes, for local government working-level personnel, 'preparation and improvement of detailed manuals for the implementation of earthquake-related tasks'; for the central government, 'active support and cooperation regarding matters difficult to resolve independently, including budget and personnel'; for victims and displaced persons, 'understanding regarding the use of relief facilities and concessions and consideration among displaced persons'; and for earthquake experts and researchers, 'research and analysis of potential future earthquakes following the occurrence of an earthquake'; in the case of facility managers, it includes, for local government working-level personnel, 'materials and repetitive training related to earthquake-related tasks'; for the central government, 'support for rapid earthquake response and recovery'; for victims and displaced persons, 'maintaining order within indoor relief shelters and concessions and consideration among displaced persons'; and for earthquake experts and researchers, 'research and development related to seismic design and reinforcement'; it includes 'preparation of emergency fire access roads' related to the earthquake disaster prevention plan prior to the occurrence of the aforementioned earthquake; and immediately after the occurrence of the aforementioned earthquake, it includes 'conducting an emergency risk assessment' and 'providing information on the possibility of medical support from other regions'; and the above In the long term following the occurrence of an earthquake, including 'damage to industrial facilities' and 'securing residential facilities,' The disaster prevention plan information for the aforementioned expert includes, prior to the occurrence of the said earthquake, basic earthquake research information including 'information on earthquake occurrence cycles by fault,''maximum possible earthquake magnitudes by fault,' and 'information on fault activity rates' regarding the fault causing the said earthquake; geological and geotechnical survey data including 'earthquake-induced landslides,''updating of steep slope risk maps,''3D underground faults of the Korean Peninsula,' and 'development of an integrated velocity structure model'; information related to earthquake research and experimental facilities including 'representative domestic earthquake magnitudes,''calculation of magnitude correction factors,''development of damping formulas based on domestic records,' and 'development of seismic reinforcement technologies for structural materials'; and information on securing earthquake monitoring capabilities including 'research on the development of early warning technologies,''establishment of a preemptive response system through earthquake damage scenarios,' and 'damage analysis for facility safety assessment,' and immediately after the occurrence of the said earthquake, 'seismic wave spectrum analysis.' The above step (e) is, Steps (a) through (d) above are executed based on an open Service Oriented Architecture, Collecting real-time observation information related to earthquake hazards from earthquake-related observation devices through a service infrastructure interface, or collecting earthquake hazard information including geological data and regional fault structures for each region, Using internal integration through an information hub, earthquake disaster information collected from the above service infrastructure interface is transmitted to each system, and By analyzing the internal linkage to the information linkage interface through the process business processing interface, the process business for steps (a) through (d) is processed by a predefined process, and A field support system through earthquake disaster area risk assessment characterized by integrated control and operation of the entire interface through an operational user interface.
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- In Article 7, The above earthquake hazard assessment device is, Calculate the critical acceleration of seismic waves for the relevant region and calculate the maximum acceleration of seismic waves using a geometric amplification factor; derive dynamic displacement using the Newmark displacement simplified formula or derive a dynamic safety factor through pseudo-static analysis using the said critical acceleration or maximum acceleration; and derive a hazard level for the earthquake-prone region based on the said dynamic displacement or dynamic safety factor. The above critical acceleration is calculated by deriving the height and slope of the relevant area to determine the soil layer thickness, but if it is difficult to verify the soil layer thickness, the soil layer thickness is assumed and calculated based on the correlation between the slope and the soil layer thickness, a static safety factor is derived from the soil layer thickness, and the seismic coefficient value at which the static safety factor becomes 1.0 is derived as the above critical acceleration. The above maximum acceleration is derived by calculating the shear wave velocity and internal friction angle through the SPT-N value in the said region, deriving a geometric amplification factor by verifying the soil layer thickness in the said region, but if it is difficult to verify the soil layer thickness, deriving the amplification factor by assuming the soil layer thickness based on the correlation between the slope and the soil layer thickness, and deriving the above maximum acceleration by multiplying the geometric amplification factor by the bedrock acceleration in the said region. Field support system through earthquake disaster regional risk assessment.
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Description
Method and system for supporting field operations using by risk level assessment of earthquake disaster area The present invention relates to a method and system for providing field support through earthquake disaster regional risk assessment, which evaluates regional risk levels caused by earthquake disasters and provides field support based thereon. Regarding the aggregation of disaster data for regional disaster assessment, Korea has limited its efforts to compiling annual disaster reports using programs such as Microsoft Excel by collecting damage data reported by each region when a disaster occurs, summing up the number of facility damages, land loss, and casualties by disaster type, and converting and aggregating these results into monetary value. Furthermore, comprehensive data on a nationwide scale merely presented the damages for a specific disaster during a given period as a comprehensive amount by aggregating each item based on regional annual reports. Therefore, based on the aforementioned comprehensive data, it was impossible to obtain detailed information regarding the disaster, conduct an impact assessment reflecting regional characteristics, determine the correlation between the disaster and the damage, or evaluate the disaster damage mitigation capabilities of specific regions. Furthermore, Korea lacks a comprehensive evaluation system and objective risk assessment indicators for assessing the safety management capabilities of local governments, making it difficult to implement disaster prevention projects and establish response plans that consider regional characteristics. Additionally, the system for inducing efforts to secure a safety foundation—such as the level of interest in disaster prevention by local government heads, budget allocation rates, facility investments, and personnel allocation performance—is inadequate. Furthermore, it was difficult to ensure continuous objectivity in evaluating regional disasters using the disaster-related information obtained through the aforementioned work. First, since the evaluation area is determined first and data is collected, there was an inconvenience in managing past history where it became almost impossible to utilize the accumulated data if the administrative boundaries of the relevant region changed in the future. Additionally, while the causes of natural, man-made, and social disasters depend on countless factors, it was difficult to identify the causes due to the lack of systems for securing, storing, standardizing, and managing basic data. Moreover, disaster damage causes indirect damage to the regional economy by affecting not only facilities and human lives but also regional productivity and residential stability; however, there is a problem in that there is no method to calculate such indirect damage. FIG. 1 is a schematic diagram showing an operational support system through earthquake disaster area risk assessment according to an embodiment of the present invention. FIG. 2 is a flowchart illustrating a method for supporting operations through an assessment of earthquake disaster area risk according to an embodiment of the present invention. FIG. 3 is a schematic diagram showing an example of the internal configuration of an earthquake hazard evaluation device for performing earthquake hazard evaluation using an earthquake fault structure according to one embodiment of the present invention. Figure 4 is a cross-sectional view showing the thermal insulation of the strata. Figure 5 is a cross-sectional view showing a positively mobile fault. Figure 6 is a cross-sectional view showing a reverse-movement fault. Figure 7 is a cross-sectional view showing a strike-slip fault. Figure 8 is a diagram illustrating a section of a hierarchical earth. Figure 9 is a drawing illustrating a small section of a possible earthquake survey in a map view. FIG. 10 is a drawing showing an example of the internal configuration of an earthquake hazard evaluation device according to another embodiment of the present invention. FIG. 11 is a configuration diagram of a fire clustering module in an earthquake disaster evaluation device according to an embodiment of the present invention. FIG. 12 is a detailed configuration diagram of a regional cluster construction unit in a fire clustering module according to an embodiment of the present invention. FIG. 13 is a configuration diagram of a fire loss evaluation module in an earthquake disaster evaluation device according to an embodiment of the present invention. FIG. 14 is a diagram showing the relationship between combustion resistance and the average lost building area ratio in an earthquake disaster evaluation device according to an embodiment of the present invention. FIG. 15 is a diagram showing the process of generating a building risk map of an operational support device according to an embodiment of the present invention. FIG. 16 is a diagram showing an example of necessary information by time period stor