Journal of Risk Analysis and Crisis Response

Volume 7, Issue 3, October 2017, Pages 156 - 165

A Research on Community Risk Radar with Presetting Forms to Structure Information in Internet of Intelligence

Authors
Yifang Leng, Chongfu Huang
Corresponding Author
Chongfu Huang
Received 22 June 2017, Accepted 3 August 2017, Available Online 2 October 2017.
DOI
https://doi.org/10.2991/jrarc.2017.7.3.6How to use a DOI?
Keywords
Community, Risk radar, Internet of Intelligences, Structuring information
Abstract
In order to improve the community risk radar in the information gathering stage, the problem of unstructured information processing may be able to result by taking advantages of the internet of intelligence. According to the characteristics of the community risk events, setting the data form of the collecting page in advance can help reduce the proportion of unstructured information. Adding the image upload and download function can help residents building the risk scenarios. In the Risk event assessment stage, coding the PHP web page can achieve the online processing of risk data. In the stage of risk event display, the risk is displayed by the risk radar and risk map. Finally, a community in Beijing is taken as an example for specific description.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Journal
Journal of Risk Analysis and Crisis Response
Volume-Issue
7 - 3
Pages
156 - 165
Publication Date
2017/10/02
ISSN (Online)
2210-8505
ISSN (Print)
2210-8491
DOI
https://doi.org/10.2991/jrarc.2017.7.3.6How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - JOUR
AU  - Yifang Leng
AU  - Chongfu Huang
PY  - 2017
DA  - 2017/10/02
TI  - A Research on Community Risk Radar with Presetting Forms to Structure Information in Internet of Intelligence
JO  - Journal of Risk Analysis and Crisis Response
SP  - 156
EP  - 165
VL  - 7
IS  - 3
SN  - 2210-8505
UR  - https://doi.org/10.2991/jrarc.2017.7.3.6
DO  - https://doi.org/10.2991/jrarc.2017.7.3.6
ID  - Leng2017
ER  -