Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Development and evaluation of a predictive fire risk modelling and notification system for wooden homes
Accidents involving fire result in more than 300,000 deaths annually, with statistics suggesting residential fires causing above 80 % of the fire-related deaths. While these numbers differ somewhat in their statistical foundations, they succeed in expressing the imminent risk of residential fires. Still, the vast majority of fire risk modelling relates not to residential fire risk but to other areas, like forest fire risk or fire and explosion risk in the process industry. In January 2014, in Lærdal, Norway, the fire safety community was reminded of the devastating potential of conflagration events when a fire developing between wooden homes destroyed more than 40 structures. Any increased fire risk was not identified at the time of the fire, highlighting the need for novel fire risk models capable of predicting the imminent fire risk for wooden homes and possible conflagration events. In recent years, the growing network of Internet of Things (IoT) appliances combined with the pervasive presence of cloud-based data services has provided access to a vast amount of data sources. In turn, it has increased the availability and amount of location-specific and predicted data, enabling dynamic risk assessment through data-driven applications. This thesis addresses the fire risk associated with wooden homes in cold climate regions by investigating the intersection of software engineering and fire risk modelling. The focus has been on developing and evaluating a fire risk notification software system for wooden home fire risk in cold climate regions. A wooden home fire risk model based on first principle mathematics and physics has been further developed, emphasising the modelling concept and a justified generic modelling approach for wooden homes. A practicality assessment included the evaluation of available data sources, model output and frequency of high-risk events/days. In general, a generic approach was justified, yielding a manageable number of days with high conflagration risk, i.e., in-home drought coexisting ...
Development and evaluation of a predictive fire risk modelling and notification system for wooden homes
Accidents involving fire result in more than 300,000 deaths annually, with statistics suggesting residential fires causing above 80 % of the fire-related deaths. While these numbers differ somewhat in their statistical foundations, they succeed in expressing the imminent risk of residential fires. Still, the vast majority of fire risk modelling relates not to residential fire risk but to other areas, like forest fire risk or fire and explosion risk in the process industry. In January 2014, in Lærdal, Norway, the fire safety community was reminded of the devastating potential of conflagration events when a fire developing between wooden homes destroyed more than 40 structures. Any increased fire risk was not identified at the time of the fire, highlighting the need for novel fire risk models capable of predicting the imminent fire risk for wooden homes and possible conflagration events. In recent years, the growing network of Internet of Things (IoT) appliances combined with the pervasive presence of cloud-based data services has provided access to a vast amount of data sources. In turn, it has increased the availability and amount of location-specific and predicted data, enabling dynamic risk assessment through data-driven applications. This thesis addresses the fire risk associated with wooden homes in cold climate regions by investigating the intersection of software engineering and fire risk modelling. The focus has been on developing and evaluating a fire risk notification software system for wooden home fire risk in cold climate regions. A wooden home fire risk model based on first principle mathematics and physics has been further developed, emphasising the modelling concept and a justified generic modelling approach for wooden homes. A practicality assessment included the evaluation of available data sources, model output and frequency of high-risk events/days. In general, a generic approach was justified, yielding a manageable number of days with high conflagration risk, i.e., in-home drought coexisting ...
Development and evaluation of a predictive fire risk modelling and notification system for wooden homes
Strand, Ruben Dobler (Autor:in)
01.01.2024
cristin:2330926
177
Hochschulschrift
Elektronische Ressource
Englisch
DDC:
624
WOODEN FIRE DOOR FITTING FRAME AND WOODEN FIRE DOOR STRUCTURE
| Europäisches Patentamt | 2018