Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
An intelligent fire & occupant safety system and method
The described invention relates to a computer-implemented method for determining fire safety and occupant safety information, comprising: receiving data from a plurality of Appliances, each equipped with thermal sensors, carbon dioxide detectors and real-time voice communication capabilities, arranged within a building and configured to detect locations of elevated temperature and ambient carbon dioxide levels within the building; wherein one or more of said Appliances are arranged to detect elevated temperatures and levels of carbon dioxide indicative of the presence or risk of fire, and one or more of said Appliances are arranged to detect elevated temperatures indicative of body heat and carbon dioxide levels indicative of respiration and therefore the presence of one or more people, and enabling communication between occupants and a remote person to determine any special medical priorities of said occupants; analysing the received data to determine a first location corresponding to the presence or risk of fire and a second location corresponding to the presence of one or more people; using data corresponding to the first and second locations to construct virtual (i.e., computer-generated) dynamic real-time models of the current state of the fire and probabilistic models of the likely physical development of the fire, and by reference to pre-determined policies defining courses of action to be taken in different fire hazard scenarios, communicating and representing data according to the appropriate policy response. Furthermore, proposed firefighting interventions can be sent as data to the processing unit and the impact of such interventions can be included in the probabilistic fire models, enabling real-time simulation of the impact of said proposed interventions and interpretation of the likely results, using machine learning to improve the accuracy of the simulations. In this way, evacuation priorities and firefighting methods can be better targeted and occupants can be more safely evacuated from the building; resulting in reduced injury risk for occupants and firefighters due to enhanced intelligence on the status and likely development of the fire.
An intelligent fire & occupant safety system and method
The described invention relates to a computer-implemented method for determining fire safety and occupant safety information, comprising: receiving data from a plurality of Appliances, each equipped with thermal sensors, carbon dioxide detectors and real-time voice communication capabilities, arranged within a building and configured to detect locations of elevated temperature and ambient carbon dioxide levels within the building; wherein one or more of said Appliances are arranged to detect elevated temperatures and levels of carbon dioxide indicative of the presence or risk of fire, and one or more of said Appliances are arranged to detect elevated temperatures indicative of body heat and carbon dioxide levels indicative of respiration and therefore the presence of one or more people, and enabling communication between occupants and a remote person to determine any special medical priorities of said occupants; analysing the received data to determine a first location corresponding to the presence or risk of fire and a second location corresponding to the presence of one or more people; using data corresponding to the first and second locations to construct virtual (i.e., computer-generated) dynamic real-time models of the current state of the fire and probabilistic models of the likely physical development of the fire, and by reference to pre-determined policies defining courses of action to be taken in different fire hazard scenarios, communicating and representing data according to the appropriate policy response. Furthermore, proposed firefighting interventions can be sent as data to the processing unit and the impact of such interventions can be included in the probabilistic fire models, enabling real-time simulation of the impact of said proposed interventions and interpretation of the likely results, using machine learning to improve the accuracy of the simulations. In this way, evacuation priorities and firefighting methods can be better targeted and occupants can be more safely evacuated from the building; resulting in reduced injury risk for occupants and firefighters due to enhanced intelligence on the status and likely development of the fire.
An intelligent fire & occupant safety system and method
10.05.2023
Patent
Elektronische Ressource
Englisch
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