Dynamic Meteorological Data Integration for Offsite Emergency Evacuation and Fire Hazard Modeling in LPG Terminals

Abstract

Effective management of offsite emergencies in Liquefied Petroleum Gas (LPG) terminals hinges significantly on real-time access to meteorological data, particularly wind speed and direction. This study proposes an Internet of Things (IoT)-enabled system integrating a Bluetooth Anemometer with the ALOHA hazard modeling software to dynamically fetch and analyze wind data during LPG fire emergencies. Field testing involved real-time data collection using a mobile application connected to the anemometer, with immediate input into ALOHA to simulate threat zones. Results demonstrate that rapid data acquisition enables faster decision-making for evacuation strategies, potentially reducing response time and minimizing casualties. The proposed approach emphasizes proactive fire safety management by integrating dynamic environmental monitoring into emergency protocols.