Optimizing Gas Concentration Analysis and Safety Through Predictive Modeling and Sensor Integration

This project developed a method for analyzing and forecasting gas concentration changes over time, aimed at optimizing costly, hazardous fumigation gases. Overuse of these gases risks chemical resistance in pests, health hazards, and environmental damage. High concentrations reduce fumigation time, but excessive amounts can make pests dormant, rendering treatment ineffective and potentially increasing resistance.

The project developed a formula based on past fumigation data, created an application to collect job data via REST calls from a web API, and tested the formula's accuracy in predicting gas concentrations. The program alerts fumigators when gas falls below minimum thresholds and estimates when the concentration-time (CxT) product is achieved. Real-time site data improves concentration estimates and alerts users to potential issues before failures. While the tool aids fumigation, licensed fumigators must follow regulatory guidelines, as this tool provides guidance rather than legal certification.