A Comprehensive Indoor Environment Dataset from Single-Family Houses in the US

This paper presents a dataset capturing indoor environmental factors—including temperature, humidity, air quality, and noise levels—collected from 10 sensing devices installed in various locations within three single-family houses in Virginia, USA. The primary objective was to monitor and analyze indoor environmental conditions over time. Data were recorded at one-minute intervals for approximately one year, resultingContinue reading “A Comprehensive Indoor Environment Dataset from Single-Family Houses in the US”

A Framework for Developing Machine Learning Models for Facility Life Cycle Cost Analysis through BIM and IoT

Summary A large amount of resources are spent on constructing new facilities and maintaining the existing ones. The total cost of facility ownership can be minimized by focusing on reducing the facilities life-cycle costs (LCC) rather than the initial design and construction costs. This thesis presents a research project that developed a machine learning-enabled facilityContinue reading “A Framework for Developing Machine Learning Models for Facility Life Cycle Cost Analysis through BIM and IoT”

Foundational Research in Integrated Building Internet of Things (IoT) Data Standards

Abstract This research report was produced for the CDAIT IoT Research Working Group, based on research conducted by Georgia Tech College of Design researchers under the supervision of Dr. Pardis Pishdad-Bozorgi of the School of Building Construction and Dr. Dennis Shelden, director of the Digital Building Laboratory (DBL). The report provides a brief review ofContinue reading “Foundational Research in Integrated Building Internet of Things (IoT) Data Standards”