1993 Volume 5 Issue 1 Pages 95-107
A fire warning system is an indispensable system to protect human life, property and living conditions. On the other hand, false alarms cause us to miss real fires by switching off the system. For these social needs, we aim to develop a system which is to detect a fire at an earlier stage and then to give a highly reliable judgement. To realize such a system, this paper explains that a fuzzy expert system is effective due to the application of knowledge acquisition, and an inference mechanisms. That is, we propose to extract characteristic value by fuzzy clustering, to judge fire at an earlier stage by fuzzy reasoning, and to alarm gradually by graphics and voice synthesis. This prototype system has been installed in a real building and proves that it is effective in reducing false alarms from the sensed data. For fire alarm, we confirm the system's safety from experimental data. By using fuzzy theory, we can judge and act in an ambiguous situation before the final decision is made, and avoid unnecessary panic.
