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

摘要

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.