When hazardous events occurs in buildings or in large environments with different access points and with a large number of users, rescue workers (firefighters, first aid workers, civil protection teams, etc.) need to intervene in a timely manner, where there is a certainty that there are users to help. Typically such events requires to avoid waste of resources in environments where there are no people at the time of the disaster or where the damage is of low magnitude. To guide the rescuers at the points of the building where there are users to help, we modeled and built an Internet of Things-based framework that monitors data and environmental parameters of interest and, if certain thresholds are exceeded, alerts the rescuers through a telephone call to emergency numbers. The hardware infrastructure is driven by a complex flexible and adaptive software layer that behaves depending on a Complex Event Processing engine and a reflective middleware according to the rule based engine that manages data from the sensors and reasoning mechanisms of a knowledge base that models the given domain.
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