Environmental Risk Intelligence System With Situation-based Alert Prioritization

Abstract

Environmental Hazards Like Extreme Temperatures, Fire, Toxic Gases, And Sudden Rainfall Threaten Safety And Operations. This Project Introduces An Environmental Risk Intelligence System For Real-time Monitoring, Analysis, And Prioritized Alerting. It Integrates Sensors For Temperature, Humidity, CO2, Rainfall, And Fire Detection, Processed By A Microcontroller Using Threshold-based Logic To Assess Risk Levels. Upon Detecting Anomalies, It Triggers Local Alerts And Sends Data To A Cloud Platform For Remote Dashboard Visualization, Storage, And Notifications. Combining IoT Sensors, Embedded Processing, And Cloud Connectivity, The System Boosts Situational Awareness And Risk Mitigation. Ideal For Smart Buildings, Industries, Agriculture, And Public Spaces, It Enhances Safety, Speeds Decision-making, And Advances Intelligent Monitoring.

Keywords