An Internet of Intelligences with Geospatial Information Diffusion Model for Inferring Disasters in Information Isolated Islands
Available Online 12 April 2021.
- https://doi.org/10.2991/aebmr.k.210409.001How to use a DOI?
- Internet of Intelligences, Geospatial, Information Diffusion, Disaster Assessment, Wenchuan Earthquake
- An internet of intelligences constructed with “model-view-controller” frameworkis composed of six functional modules: data declaration, data review, data query, disaster assessment, user management, and system management. There are four user role permissions: data declarer, daily administrator, disaster relief administrator, system administrator. With the internet of intelligences embedded in the geospatial information diffusion model, it becomes possible for us to infer disasters in the information isolated islands in the disaster area, instead of disaster assessment by using a statistical formula based on historical disaster data. The new approach is not only the accuracy of the assessment can be improved, but also the disasters can be easily updated. We chose ThinkPHP5 to be the development framework. The logical structure of the system database and the tables are designed according to the principles of database design and paradigms. The geospatial information diffusion model is programmed in PHP language in the WAMP environment. Going back to the scene of the 2008 Wenchuan Earthquake and inferring the economic loss rate and population casualty rate and in the 10 severely affected areas, we know that the geospatial information diffusion model is more accurate than linear regression method and the random forest method.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Chongfu Huang PY - 2021 DA - 2021/04/12 TI - An Internet of Intelligences with Geospatial Information Diffusion Model for Inferring Disasters in Information Isolated Islands BT - Proceedings of the 9th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2020) PB - Atlantis Press SP - 1 EP - 14 SN - 2352-5428 UR - https://doi.org/10.2991/aebmr.k.210409.001 DO - https://doi.org/10.2991/aebmr.k.210409.001 ID - Huang2021 ER -