Name of Technology

Disaster Pre-symptom Information Management System(DPI-CS)

Model type : Other
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Collect and analyze various disaster pre-symptom data from human disaster excluding traffic and conflagration, in order to establish decision making structure for deciding hazard levels
 
Recent uncertainty of human disaster raised necessity for scientific approach for risk assessment and risk management technology to disasters for flexible countermeasures. Future estimation and forecast model is needed to apply in human disasters.
The study purpose is to generate disaster pre-symptom information through data collection and analysis, and to use it to provide appropriate decision making structures.
  • Disaster pre-symptom information concept and range set-up
  • Disaster pre-symptom information regular monitoring system establishment
  • Set systematic source management for disaster pre-symptom information
  • Provision of scientific analysis means of disaster pre-symptom information source
  • Disaster pre-symptom information hazard level classification plan and standards setting
  • Pre-symptom information management algorithm composition through existing disaster case analysis
  • Provision of disaster pre-symptom information management development direction and policy proposal
A. Input
Input data for Disaster pre-symptom information analysis and decision making process is composed of specific data and general data. The specific data include requirements for facilities and buildings, which include related laws, previous cases, and related expert's opinions. The general data is information of road establishment year, constructor, location information, etc.

B. Process
Composed of three modules; General factor model classified as ontology general factors, indicator calculation module calculated by related rules made of general factors, document generating model that supports decision making process by showing analyzed data input from indicator calculation module.

C. Output
It is linked with disaster pre-symptom related DB system, which deducts five outcomes, which is integrated as the user requests.

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USD Unknown

2013-12-20

Korea

National Emergency Management Agency

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Early Warning System  

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Decision making and sharing

  • Maximization of economic effect as well as minimization of casualties and property loss as specific scientific prior prevention measures are implemented. As well as forming secure society infrastructure
  • Able to deduct analysis assessment method and process deduction for disaster pre-symptom information verification
  • Establishment of smart decision making support system based on disaster pre-symptom information

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