I would define the future as
being anything within the next 5 years. But ultimately it depends on what is
being considered. In terms of analysis techniques, it takes a few years to thoroughly
check algorithms for as many probable scenarios and to find and fix all malfunctions.
Recently, examination and improvement
in the design of sustainable intelligent buildings has gained attention. One of
the things I found interesting is the utilization of the collected data from the
building operation management that can be used to analyze the real time
building information for hazard detection. In the article, the authors installed
an indoor wireless sensor network to collect the air temperature data. A
machine-learning algorithm was developed to analyze the collected data and automatically
generate early warning signals for hazards such as overheat/fire. The system was
designed to detect all possible potential hazards while allowing as few false
alarms. The experimental results validate the proposed machine-learning algorithm
and the effectiveness of using a wireless sensor network for early detection of
building hazards.
As discussed by my fellow group members, similar algorithms can be used in analyzing more dynamic modeling software to help integrate all the different electrical and mechanical components in a building. Thus, allowing buildings to be more energy efficient.
As discussed by my fellow group members, similar algorithms can be used in analyzing more dynamic modeling software to help integrate all the different electrical and mechanical components in a building. Thus, allowing buildings to be more energy efficient.
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