THE DEVELOPMENT OF INTELLIGENT SYSTEMS FOR EARLY PREVENTION OF FIRE IN HIGH-RISE BUILDING BASED ON FUZZY LOGIC

This study aims to develop an early detection system of abnormal conditions, causes of fires that occur in electrical installations in building in real time, so that it can immediately stop it. By applying the vague logic of a diversified pattern recognition method, this study succeeded in applying new modeling to the abnormal conditions of the system, so that it could be used to detect fire hazards early in buildings. The results of the prototype laboratory test show that this development system can achieve a success rate of 96.4% detection, while the old system using Miniature Circuit Breaker only reaches 42.8%