The design of fire detection algorithms is an iterative process that requires a continual performance estimation. The performance can be evaluated using statistical values, e. g. mean fire detection times, fire detection probabilities, and false alarm rates. The determination of these parameters requires many test data measured by defined test fires and disturbing events. In order to reduce the test and design costs, it is advantageous to simulate sensor responses by test experiments. In this paper a system oriented approach has been investigated. It is based on system identification techniques including the whole description of the generation of the fire detector signals and the parameters that can influence the process. The generation of the artificial sensor responses is performed by modifying analytical functions that describe the burning process (relative mass loss), the weighting function for the transfer process, and the characteristic fluctuations. The simulator was able to generate signals similar to the measured signals.
Print ISSN: 0171-8096
Volume: 71, 03/2004
Pages: 173 - 183