Intelligent Fire Information System

Modern technology has significantly impacted advanced fire alarm systems. As the sophistication of new devices increases, so has the quantity of data they are capable of collecting. However in current alarm systems only a small portion of the available information is used. Without the continuous utilization of data from each detector it is difficult to gain an accurate view on the fire's progression. IAC proposes a novel intelligent fire information system that will significantly enhance the usage of information acquired by the modern addressable analog fire detectors. The system will use artificial intelligence (AI) techniques designed to function at various system levels. At the sensor level fire detection is optimized while reducing false alarms. At the system level, fire progression is automatically and continuously tracked. Risk areas are identified and constantly updated. COMMERCIAL APPLICATIONS: The system proposed includes different layers of artificial intelligence and a graph theoretic approach to perform signal processing, event detection, data mining and data fusion for an intelligent fire information system. Potential application to this technology may extend to various fields that involve complex distributed information systems. Immediate extension of this method to be the foundation of a comprehensive building information system may serve to monitor both fire and structural integrity during events of emergency. Other applications may include machine health monitoring, medical diagnostics, utilities and traffic management, manufacturing quality inspection, security monitoring, etc. All these fields share the common property that multiple sensors are deployed to monitor different segments of a complete system.