Term 252

Intelligent Industrial Air Quality Advisory System

Project Type: Self-Initiated

Project Description

Air quality monitoring in industrial enviroments requires more than instantaneous threshold comparison. Health risk from airborne pollutants depends on both concentration and exposure duration. Traditional systems trigger alarms when a pollutant exceeds a predefined limit, but they do not evaluate how long a given concentration can persist before becoming hazardous. ~this limitation may result in delayed intervention during gradual accumulation or unnecessary alarms during transient spikes. This project presents an intelligent Industrial Air Quality Advisory System centered on a Chemical Engineering time-to-harm model. The system continuously measures pollutant concentrations (CO2, CO, VOCs, and PM2.5) and predicts the time required for current exposure conditions to reach harmful levels. Instead of relying soley on static thresholds, the system evaluates concentration-time behavior to generate predictive safety advisories. The proposed hybird prototype integrates multi- sensor hardware, embedded communication, and backend computational modeling. The time- to-harm equation is experimentally validated under controlled conditions, with prediction deviation constrained within ±10%. By linking pollutant concentration (ppm) and exposure duration into a predictive framework, the system transitions from reactive alarm triggering to proactive exposure assessment and advisory intelligence