Fire detection in Kambalakonda Reserved Forest, Visakhapatnam, Andhra Pradesh, India: An Internet of Things Approach

Abstract

False alarms are in terms of fire safety engineering – fire alarms in absence of areal fire condition. They are related to the exchange of information and occur as a side effect of system technologies and the alerting process. Fires often are associated with considerable damages. Because time is a critical factor, detection is often accomplished by installed Spatio Wildfire Prediction and Monitoring System (SWPMS). The highly sensitive sensors in fire detectors make the identification of fires in a nearly stage possible, but this also makes SWPMS susceptible to false alarms. So far there is no reliable evidence on the ratio of false alarms to installed fire detection and fire alarm systems in SWPMS. The studies, which are described in the present paper, close this gap for Visakhapatnam on the basis of an empirical analysis of data from fire brigades. It is difficult to describe the ratio in one single value, because a great number of conditions and influencing factors are relevant. To reduce the false alarm ratio, we need a common understanding of false alarms and a consistent use of terms and categories.