KR20160107512A - Intelligent 3D Disaster Simulation and Method based on Ontology and Slope - Google Patents

Intelligent 3D Disaster Simulation and Method based on Ontology and Slope Download PDF

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Publication number
KR20160107512A
KR20160107512A KR1020150030343A KR20150030343A KR20160107512A KR 20160107512 A KR20160107512 A KR 20160107512A KR 1020150030343 A KR1020150030343 A KR 1020150030343A KR 20150030343 A KR20150030343 A KR 20150030343A KR 20160107512 A KR20160107512 A KR 20160107512A
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South Korea
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disaster
ontology
information
situation
simulation
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KR1020150030343A
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Korean (ko)
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김주창
정호일
김성호
정경용
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상지대학교산학협력단
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Publication of KR20160107512A publication Critical patent/KR20160107512A/en

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    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B9/00—Simulators for teaching or training purposes
    • G06F17/5009—
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B23/00—Alarms responsive to unspecified undesired or abnormal conditions

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  • Business, Economics & Management (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
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Abstract

The present invention relates to an intelligent 3D disaster simulation based on ontology and a slope, and a method for the same. Situation information is obtained on the basis of a user and is applied to a simulation. When the situation information is constituted, internal situation information includes personal information of a user such as a current location, a current state, a name, and an age. External situation information includes weather, local situation, and a moving means. Service situation information includes a disaster control service and a disaster correspondence guideline. The constituted situation information obtains disaster control service ontology by using an ontology tool. The obtained disaster control service ontology obtains ontology deduction rules by using a deduction engine. Situation information according to the user is obtained by obtaining external situation information from an external information obtaining unit, and a deduction result according to the user is obtained by applying the same to the disaster control ontology deduction rules. Ontology is applied to the simulation, and user-based disaster situation is intelligently simulated. Moreover, the simulation is constituted on the basis of a physical engine, and an internal topography is expressed by using index information of an actually measured topography. The outside thereof is expressed by using a sky box scheme. Disaster situation such as snow, rain, fog, explosion, and fire is expressed through small particles by using a particle scheme. The present invention has been developed by the research funds (14CTAP-C078863-01) for the land and transport technology promotion research project of the Ministry of Land, Infrastructure and Transport.

Description

TECHNICAL FIELD The present invention relates to ontology and slope-based intelligent 3D disaster simulation and method,

The present invention constitutes various types of disaster situations that may occur in a slope, such as external, internal, and disaster information through an ontology, generates rules for disaster situations by using an inference engine, The present invention relates to a technology for predicting a disaster situation on a slope by a user based on simulation in a virtual space.

IT convergence technology is a core technology for developing into a ubiquitous society, and it is now based on the field of flood damage, facility safety, traffic safety, industrial safety, energy safety, special safety, construction and civil engineering. The present invention is an IT convergence technology that is applied to a simulation by interactively integrating existing weather observation technology, disaster management service, physics engine, and soil dynamics. The present invention is an ontology-based intelligent 3D slope disaster simulation and method. This is a method of modeling the meteorological information of the Korea Meteorological Administration and the disaster information of the National Disaster Information Center using the IT convergence technology, which is applied to a disaster that may be a slope, and simulating it in a 3D virtual space based on a physics engine. We obtain the disaster management ontology by modeling the weather information and disaster information on the ontology, and the modeled ontology acquires the reasoning rule by using the inference engine.

The Meteorological Agency provides index information service along with general weather information such as temperature, humidity, and weather on the basis of RSS through a web page. The index information service is an index of the extent to which weather affects various industries or safety accidents, and is expressed as an index of scientific quantitative methods in an unscientific way.

The Disaster Information Center provides disaster preparedness, disaster statistics, and analysis services to prepare for natural and man-made disasters. The General Situation Office provides RSS-based services from the Korea Meteorological Administration (KMA) on the status of disasters and accidents, safety accident alerts, local conditions, damage status, and recovery status. The status of disasters and accidents is provided by the disaster type and daily disaster situation, and the disaster type is classified into the stormy sea, red tide, wildfire, and blackout. The daily disaster situation summarizes weather, safety accident, fire, rescue and emergency situation based on 06:00 every day. Safety accident alerts provide safety accident logs, prevention tips, and regional risk indices.

The ontology consists of words and relations, and includes inference rules that can hierarchically represent words and relationships and extend them. Ontologies can handle semantic web based knowledge and share knowledge and reuse between programs. The Semantic Web is an intelligent web that gives meaning to data and is automatically processed by a computer without any human involvement. Unlike conventional web documents, classes are divided into natural language classes so that computers can be easily interpreted.

The simulation simulates a phenomenon or an event that may occur in a real situation, and can perform a virtual experiment that can not be performed in a real situation, and can save time and cost. There are various disasters due to rapid industrialization, densely populated, social change, climate change and anomalous phenomena, and as disaster damage is getting bigger, interest in disaster is increasing. As a result, studies on simulation of disaster communication network and disaster prevention are being actively carried out, and disaster prevention research that converges IT technology is attracting attention. Simulation using physics engine and simulation with ontology technology are needed.

Recent attention has been focused on safety and disaster prevention and management in response to disasters. In addition to global warming, disasters such as typhoons, floods, heavy rains, landslides, storms, earthquakes, and other disasters that can directly cause harm to humans are constantly occurring due to the occurrence of abnormal phenomena such as climate change and weather changes around the world. The scale is becoming larger and the amount of economic damage is also increasing. In order to cope with various disasters and disasters both domestic and international, various studies related to disasters are under way.

Accordingly, the present invention is a method for intelligently simulating a result of predicting and predicting a disaster situation that may exist in various types of slopes using an ontology and an inference engine. The slope consists of nine types of convex ridges, straight ridges, concave ridges, convex slopes, straight slopes, concave slopes, convex valleys, straight valleys, and concave valleys based on actual measured values. Based on the ontology-based slope modeling, we predict user-centered miscellaneous disaster situations and provide simulations based on the predicted results to predict disaster and minimize disaster damage.

Accordingly, the present invention relates to an ontology-based intelligent 3D slope disaster simulation and method through fusion of a slope disaster simulation technique composed of a three-dimensional environment and a disaster-related ontology modeling.

According to the present invention, there is provided an ontology and slope-based intelligent three-dimensional disaster simulation and method, comprising: a disaster management information structure for ontology modeling; a disaster management service ontology; an ontology-based slope disaster management ontology reasoning; Rules, and slope-based intelligent 3D disaster simulation using a physics engine.

The disaster management situation information structure is divided into external, internal, and service information. The external situation information is composed of landslide situation information, local situation information, disaster situation information, equipment situation information, slope situation information, weather situation information and the like. The internal situation information consists of location situation information and personal situation information. Service situation information consists of local disaster situation information, local alarm situation information, emergency situation information, disaster situation information, and guideline situation information. The acquired context information establishes a relationship and acquires inference rules using an inference engine. The disaster management service ontology consists of a user-centered ontology using the obtained reasoning rules.

The ontology - based slope disaster management ontology generates inference rules using the inference engine and transforms the configured disaster management service ontology so that it can be applied to the simulation.

 Slope - based intelligent 3D disaster simulation using physics engine consists of 3D virtual space using Sky Box technique and physics engine, and ontology - based slope disaster management ontology is applied.

According to the present invention, there is an advantage of user-centered intelligent disaster simulation by simulating a disaster situation according to a user's situation and a weather situation in a three-dimensional space using a disaster management service ontology.

According to the present invention, it is possible to predict a disaster situation according to a user by using a disaster management service ontology and to provide a service to a user on a place to evacuate, a evacuation route, and a disaster response method by predicting damage using simulation .

1 is a block diagram of an ontology-based intelligent three-dimensional slope disaster simulation according to the present invention.
FIG. 2 is a block diagram of an external information section for constituting status information in the present invention; FIG.
FIG. 3 is a configuration diagram of a context information part for constituting an ontology in the present invention; FIG.
4 is a configuration diagram of a data speculation unit including an inference engine in the present invention;
5 is a configuration diagram of a simulation execution unit in the present invention;
6 is a block diagram of an external ontology according to the present invention.
FIG. 7 is a block diagram of an internal ontology according to the present invention; FIG.
8 is a block diagram of a disaster management service ontology according to the present invention.
9 is an ontology configuration diagram for simulation in the present invention.
10 illustrates an interface example of a disaster simulation in the present invention.
11 is an illustration of an example of a disaster simulation to which the present invention is applied.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. In the following description, well-known functions or constructions are not described in detail since they would obscure the invention in unnecessary detail.

1 is a schematic block diagram of an " ontology-based intelligent three-dimensional slope disaster simulation "according to the present invention. The external information acquisition unit 100, the context information unit 200, the sub data inference unit 300, 400). The external information acquisition unit 100 serves to acquire information of a user for location and recognition of the user, weather information of the weather station, and disaster information of the national disaster information center, The user information, the weather information, and the disaster situation information acquired from the information acquisition unit 100 to deduce for simulation application.

2 is a block diagram of an external information obtaining unit 100, which includes a user device 103 for checking a user's position and current status; A weather station RSS receiving unit 101 for obtaining weather information such as weather, temperature, and humidity of a user location; A disaster information unit 102 for acquiring disaster information and a disaster response plan in an area where the user is located; And a data filter 104 for classifying only the data necessary for applying the acquired information to ontology inference.

3, the information acquired from the external information obtaining unit 100 includes information obtained by the data filtering unit 104 as internal information, referral information, and service information, as shown in FIG. A user context information unit 201 for classifying the user contexts; An external situation information unit 202 in which the classified information is stored, respectively; An internal situation information unit 203; A service situation information unit 204; And an inference engine unit 205 for obtaining inference results based on the acquired user context information for application of the simulation.

4 is a data inference unit 300, which includes an inference result input unit 301 for inputting inference results based on the user context information acquired by the inference engine unit 205; An inference rule unit 302 in which a disaster management service ontology is stored; A disaster situation service unit 303 for providing a service according to a disaster situation; And a data speculation unit 304 for obtaining a data speculation result of the user sincerely combining the speculation result and the speculation rule according to the user context information.

5 is a schematic block diagram of the simulation execution unit 400. The simulation execution unit 400 includes an inference data unit 401 for storing inference results according to the user state information converted by the simulation application unit 300 and inputting the inference results into the simulation. A physical engine unit 402 for constructing a three-dimensional environment in simulation; A disaster management service ontology unit 403 for storing and managing an ontology configured to service a user, and a disaster simulation unit 404 for performing a disaster simulation.

FIG. 6 is a diagram of an external ontology, which divides external situation information into hierarchies according to local situation information, equipment situation information, and environment situation information, and forms a relationship between the situation information.

FIG. 7 is a diagram of an internal ontology, which divides internal situation information into hierarchies according to local situation information and individual situation information, and forms a relationship between the situation information.

FIG. 8 is a block diagram of the disaster management service ontology, which includes the internal ontology and the external ontology shown in FIG. 6 and FIG. 7, and shows the relationship with other context information based on the user, and includes an internal ontology and an external ontology. It derives the information required for the personalization service through the status of the service, the location of the user, the presence or absence of the device, the situation information about the disaster required for the service, and the user environment information, and includes the relation of the ontology service.

FIG. 9 is an ontology configuration diagram for the simulation of FIG. 1, which includes an information layer, a situation information layer, a database layer, a reasoning layer, and a service layer, and acquires attributes and relationships necessary for inference. Information layer for collecting environmental information such as weather, disaster, equipment, area for service inference and personal information such as location and situation; A situation information layer for classifying the information collected in the information layer and classifying the collected information into an internal ontology and an external ontology of a database layer; A database layer containing inference rules, context aware ontologies, and an information repository; A reasoning layer including a service rule, a disaster rule, and an inference engine for reasoning a disaster management service suitable for a user's environment using the service rule; A service layer comprising a service engine; It includes a simulation layer that includes a physics engine and 3D disaster simulation.

FIG. 10 is an exemplary interface diagram of a disaster simulation to which the present invention is applied. In FIG. 10, an interface for controlling a virtual space is specified in the upper left part. The simulation supports control functions such as rotation, movement, zooming, zooming, stopping and resetting of the 3D virtual space using the input devices of the mouse and the keyboard. The characters displayed on the screen are specified in coordinates of X axis, Y axis, and Z axis according to the 3D virtual space, and coordinates of X axis and Z axis are fixed, and lines of characters are separated by coordinates of Y axis. In order to express the process of landslide and rockfall occurrence, 3D computer graphics technique is used to express it in three dimensions. Expression of the disaster situation is expressed using the particle function of the physics engine. Particles are 3D computer graphics techniques that move large amounts of fine physical particles in consideration of the effects of gravity or wind. It expresses special effects such as wind, snow, rain, fog and explosion in physical particle form.

FIG. 11 shows an example of a disaster simulation using the present invention. FIG. 11 is an example of application of ontology-based landslide situation recognition to a slope. FIG. 11 shows an example of a landslide occurrence on a slope or a collapse along with a soil and a rock, It is expressed in three stages. Intelligent 3D slope modeling simulations use ontology based contextual modeling to express disaster situations by applying landslides, snow, rain, fog, fire, explosion, and smoke to various slopes. An ontology-based intelligent 3D slope disaster simulation method is a 3D computer graphics technology that applies real-time 3D particle animation to show the natural phenomena such as snow, rain, fog, and disaster such as fire, explosion and smoke. do.

100 ... The external information obtaining unit
101 ... Meteorological Agency RSS Receiver
102 ... Disaster Information Department
103 ... The user device section
104 ... The data filter unit
200 ... Situation Information Department
201 ... User situation information department
202 ... External situation information department
203 ... Internal situation information department
204 ... Service situation information department
205 ... Inference Engine
300 ... The data reasoning unit
301 ... Inference result input unit
302 ... Reasoning rule section
303 ... Disaster Situation Service Department
304 ... The data reasoning unit
400 ... The simulation execution unit
401 ... The inference data portion
402 ... Physics engine department
403 ... Disaster Management Service Ontology Department

Claims (3)

Ontology and slope - based intelligent 3D disaster simulation and method;
Based on the user information, weather information, and disaster information obtained from the external information acquisition unit, context information for a disaster management service is constructed, and ontology based reasoning is constructed to construct a slope disaster management ontology reasoning rule. Disaster management service providing disaster service Disaster management service on ontology and 3-D virtual space using physics engine Disaster simulation and method based on ontology The method of claim 1, wherein the configuration information for the disaster management service comprises:
It consists of personal situation information such as current location, current status, name and age, service situation information such as weather information, external situation information such as disaster situation, local information, guidelines, disaster response manual, And how to obtain disaster management ontology reasoning rules using inference engine The method of claim 2, wherein the disaster management ontology reasoning rule method comprises:
The disaster management service obtains desirable inference results for the current position and state based on the inference rules obtained from the context information for the disaster management service and provides disaster response services to the users based on the obtained inference rules How to Obtain Management Service Ontology
KR1020150030343A 2015-03-04 2015-03-04 Intelligent 3D Disaster Simulation and Method based on Ontology and Slope KR20160107512A (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106803279A (en) * 2016-12-26 2017-06-06 珠海金山网络游戏科技有限公司 It is a kind of to optimize the method for drawing sky
KR102480449B1 (en) 2022-10-07 2022-12-23 (주)바이브컴퍼니 Disaster prediction method using multiple sensors
KR102482927B1 (en) 2022-02-11 2022-12-30 대한민국 Simulation methods for evacuation in a Massive Disaster

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106803279A (en) * 2016-12-26 2017-06-06 珠海金山网络游戏科技有限公司 It is a kind of to optimize the method for drawing sky
KR102482927B1 (en) 2022-02-11 2022-12-30 대한민국 Simulation methods for evacuation in a Massive Disaster
KR102480449B1 (en) 2022-10-07 2022-12-23 (주)바이브컴퍼니 Disaster prediction method using multiple sensors

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