Abstract

Methods to detect and control styrene vapour in the rubber and plastics products fabrication sector are poorly understood. This project studied the integration of artificial intelligence into a styrene detection system, and the communication between the control system and the network of detectors.

Sensors were tested in a controlled-atmosphere chamber, equipped with temperature and pressure sensors. A portable detection and control module which incorporates a humidity sensor was developed.