Towards Predicting High Sensitivity Smoke Detector Operational Performance in Building Environments

A scalable approach to very early warning fire detection systems is needed to address a diverse set of building environments. In this paper, an integrated model was developed to evaluate detector performance in the building environment. The approach evaluated the early fire detection performance of fixed and adaptive sensing aspirating smoke detectors. The validated modeling results showed adaptive sensing provides reduced false alarm rates in a number of scenarios. This approach can provide decision makers critical information on a detector’s performance in the context of the building environment.