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IOT Enabled Indoor Air Sustainability Monitoring

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dc.contributor.author Imdad, Mehboob
dc.date.accessioned 2024-06-05T09:17:51Z
dc.date.available 2024-06-05T09:17:51Z
dc.date.issued 2024
dc.identifier.other 351177
dc.identifier.uri http://10.250.8.41:8080/xmlui/handle/123456789/43757
dc.description Advisor:Dr. Khurram Iqbal Ahmad Khan en_US
dc.description.abstract In the realm of construction management research, a fascinating and forward-thinking trend has emerged – the integration of Building Information Modeling (BIM), Internet of Things (IoT), and Digital Twin technology. This amalgamation of cutting-edge technologies is reshaping the way we approach construction and facility management. Our journey is aligned with this innovative trajectory. We addressed the problem of the Indoor Air Environment which is becoming one of the most severe public health risks. Its dangers are prevalent and yet unnoticed. We tried to solve the problem by doing indoor air monitoring through various sensors and then transferring the data live into Revit model through Arduino, Google sheets, Excel and finally Dynamo. It took extensive coding especially in Arduino, google sheets and dynamo to make it a reality. Making the process live allowed us to modify our 3d model from a static Revit model to a dynamic digital twin. This integration is seen less in the industry but has potential and is getting more and more coverage day by day. It already has its place in Mechanical and Aerospace engineering and the next stop is civil engineering. Through this, the user can see the real time changes in the parameters just by looking at the changes in the model. The model can also show physical changes in its color to show warning signs or a good functioning asset. In the end, we analyzed the data and came up with the conclusion that the monitored indoor environment was unsustainable and needed remedy measures to make it feasible for public health en_US
dc.language.iso en en_US
dc.title IOT Enabled Indoor Air Sustainability Monitoring en_US
dc.type Thesis en_US


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