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A Risk Radar driven by Internet of intelligences serving for emergency management in community
Chongfu Huang1, Tong Wu2, Ortwin Renn3
1Academy of Disaster Reduction and Emergency Management, Beijing Normal University, No.19 Xinjiekouwai Street, Beijing 100875, China.
Environmental Research
|March 24, 2016
Summary
This study introduces an Internet of Intelligences (IOI) system for dynamic risk monitoring in communities. The IOI system enhances emergency management by evaluating and verifying risks, improving upon traditional static risk radars.
Area of Science:
- Emergency Management
- Risk Assessment
- Community Safety
Background:
- Current commercial risk radars primarily display static risks, similar to risk matrices.
- There is a need for dynamic risk monitoring systems in community emergency management.
Purpose of the Study:
- To develop an Internet of Intelligences (IOI) system for dynamic risk radar monitoring.
- To enhance emergency management capabilities in communities through intelligent risk assessment.
Main Methods:
- The IOI system operates in four stages: information collection, risk incident evaluation, verification, and risk display.
- Utilized information diffusion methods to optimize the processing of effective information for risk value calculation.
Main Results:
- The developed IOI system effectively monitors dynamic risks within a community.
- A case study validated the reliability and practicality of the proposed risk radar system.
Conclusions:
- The IOI-driven risk radar offers a significant advancement over traditional risk management tools.
- This system provides a practical and reliable solution for dynamic risk monitoring in community emergency scenarios.
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