Visualize Near Real-Time Internet of Things (IoT) Sensor Data in Residential Digital Twin Utilizing a Hybrid Project Management Methodology

Abstract

For technology professionals in Alaska, the residential digital twin development project was sanctioned to deliver a product to enhance technical acumen and provide visibility into potential risks as a homeowner in arctic climates. Overall, this project demonstrated project mastery by utilizing a hybrid project delivery model while working with newer technology that is currently undergoing rapid innovation. The objective of this project included harvesting, processing, and integrating data from Internet of Things (IoT) devices within the residence to a model. Thus, provided near real-time data points of the physical structure in a digital format. This project delivered a step-by-step manual of tools and techniques utilized to create a residential digital twin as well as a user support manual. The digital twin was then used to analyze and monitor the performance of the residence’s physical environment. From a use case perspective, the digital twin functionality delivered can aid in identifying potential issues and allows for proactive problem-solving, improved reliability and preventative measures to mitigate unnecessary damage. In conclusion, a digital twin project was a valuable tool for improving an asset owner’s experience and enhancing informed decisions based on near real-time data. The goal of this project was to improve operational efficiency, reduce costs, and make informed decisions.