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Model‐Based System Engineering for Life Cycle Development of Digital Twins of Real Estate
Author(s) -
Küsel Kirstin
Publication year - 2020
Publication title -
incose international symposium
Language(s) - English
Resource type - Journals
ISSN - 2334-5837
DOI - 10.1002/j.2334-5837.2020.00750.x
Subject(s) - real estate , asset management , asset (computer security) , computer science , agile software development , systems engineering , dashboard , digital asset management , engineering management , data science , process management , software engineering , engineering , computer security , business , finance , investment strategy , market liquidity
The evolving complexity of today's Smart City challenges requires agile systems that can deliver quick, real‐time insight into as‐built assets to all stakeholders. Cyber‐Physical Systems (CPS) or digital twins hold promise to enable interconnected, data analysis of as‐built assets throughout the lifecycle of the asset. In the real estate industry, a vision is emerging to develop Digital Twins of Real Estate (DTREs) – being dynamic, virtual data models of real‐world assets that aggregate all information on the asset and provide continuous feedback via a single, 3D dashboard. Key technologies in use include Internet of Things (IOT) technology, Artificial Intelligence (AI) processes and Machine Learning (ML). A DTRE enables stakeholders to better understand, predict and optimize performance of the real‐world asset throughout its lifecycle. In practice , most as‐built assets are not in digital, data model format and owners and managers are faced with distributed information sets and analytical tools. ISO 19650 (Part 1 and 2) guides the Architectural, Engineering and Construction (AEC) industry in Building Information Modelling (BIM) and management processes to deliver data models during the design and build phase. There is no formal process to guide DTRE development and limited, published case studies to demonstrate the business case. This paper presents a first Model‐Based System Engineering (MBSE) framework for the AEC industry to guide development of DTREs. The framework was compiled by synthesizing the author's experience, the traditional System Engineering (SE) vee diagram, ISO 19650 and reverse engineering available case studies. The paper concludes with a recommendation to develop case studies of different nature to validate the proposed MBSE framework.