Proceedings of the Fourth Symposium on Disaster Risk Analysis and Management in Chinese Littoral Regions (DRAMCLR 2019)

Safety Risk Prediction and Early Warning Model and System Design of Chemical Enterprises Based on GIS and Internet of Things

Authors
Di Li, Jianzhong Sun
Corresponding Author
Di Li
Available Online November 2019.
DOI
https://doi.org/10.2991/dramclr-19.2019.30How to use a DOI?
Keywords
chemical safety; early risk warning indicators; risk prediction and early warning; GIS geographic information system; map of security risks;
Abstract
In order to predict the safety risks of chemical enterprises in real time, a GIS-based risk prediction and warning system for chemical enterprises was developed. The system uses GIS geographic information platform combined with Internet of Things data acquisition equipment to collect and process dangerous source data; use risk early warning model to conduct data mining and analysis of collected information, and obtain GIS-based risk prediction and early warning results; The security risk distribution is comprehensively warned to form a map of security risks, providing auxiliary decision support for safety production management.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Di Li
AU  - Jianzhong Sun
PY  - 2019/11
DA  - 2019/11
TI  - Safety Risk Prediction and Early Warning Model and System Design of Chemical Enterprises Based on GIS and Internet of Things
BT  - Proceedings of the Fourth Symposium on Disaster Risk Analysis and Management in Chinese Littoral Regions (DRAMCLR 2019)
PB  - Atlantis Press
SP  - 89
EP  - 91
SN  - 1951-6851
UR  - https://doi.org/10.2991/dramclr-19.2019.30
DO  - https://doi.org/10.2991/dramclr-19.2019.30
ID  - Li2019/11
ER  -