Statistical Analysis of Background Data in Internet of Intelligences
- 10.2991/dramclr-19.2019.34How to use a DOI?
- Internet of Intelligences, background data, flood disaster
The online computing module supported by geospatial information diffusion technology can obtain complete disaster data through incomplete background data in the early stage of disasters, thus making up the disaster data blank and supporting accurate rescue. Among them, with the advent of the Internet era, the acquisition of background data will realize the transition from traditional static acquisition to dynamic acquisition with networked disaster data as the main body. Systematic background data statistics is the basic work. Therefore, this paper will (1) discuss the concept of background data; (2) take flood disaster as an example, comprehensively consider the rapid assessment indicators of disasters at home and abroad with the theme of disaster relief, and form an online calculation for supporting disaster relief resource matching and disaster relief intelligent network. Background data indicator system and its data collection index items; (3) Statistics and analysis of relevant background data sources of domestic open database and web page data, forming a list of background data sources for collecting data; (4) For example, in Santai County, Sichuan Province, based on the existing database source data items, combined with the MySQL database architecture, the background database design scheme in the disaster relief intelligent network is constructed to provide a data foundation for the online calculation of the disaster relief intelligent network.
- © 2019, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Wen Tian AU - Chongfu Huang PY - 2019/11 DA - 2019/11 TI - Statistical Analysis of Background Data in Internet of Intelligences BT - Proceedings of the Fourth Symposium on Disaster Risk Analysis and Management in Chinese Littoral Regions (DRAMCLR 2019) PB - Atlantis Press SP - 69 EP - 72 SN - 1951-6851 UR - https://doi.org/10.2991/dramclr-19.2019.34 DO - 10.2991/dramclr-19.2019.34 ID - Tian2019/11 ER -