CREATING DIGITAL TWINS OF SMART BUILDINGS ON THE AZURE DIGITAL TWINS PLATFORM

The relevance of developing digital twins of smart buildings on the Azure Digital Twins platform is shaped by numerous factors reflecting contemporary trends in the construction industry and property management. The escalating demand for resource efficiency, optimizing energy usage, and augmenting user comfort are propelling the shift towards intelligent building systems. Azure Digital Twins presents remarkable capabilities for crafting digital models of buildings and their virtual representation. This enables the integration of innovative technologies like the Internet of Things (IoT), artificial intelligence, and data analytics to enhance building management. A key contemporary advantage lies in the real-time tracking of a building's systems, encompassing energy consumption, security, ventilation, and various facets. This facilitates prompt responses to ongoing issues and proactively prevents malfunctions. In the context of escalating demands for sustainable construction and energy-efficient management, creating digital twins of smart buildings on Azure Digital Twins becomes a necessary step towards achieving high productivity, cost reduction, and fostering comfortable living and working environments. The creation of digital twins for smart buildings on the Azure Digital Twins platform holds significance in municipal infrastructure management and resource optimization. This encompasses energy management, water supply, waste management, and other aspects of municipal services. In the broader context of overall IT development, creating digital twins of smart buildings reflects a powerful driver towards societal digital transformation. Integrating IoT, data analytics, and artificial intelligence into municipal infrastructure management heightens efficiency, rendering management processes more flexible and adaptive to change. Information technologies based on digital twins of smart buildings stimulate the advancement of intelligent cities, elevating residents' comfort and quality of life. The ontological approach allows for constructing models that not only accurately reflect physical object characteristics but also ensure a structured understanding of relationships between different elements. This enables efficient data analysis, prediction of potential changes, and real-time responsiveness. The application of ontologies in constructing digital twins emerges as a pivotal stage in IoT and smart technology industry evolution. It not only aids in virtual object modeling but also unlocks doors for innovative solutions in data analytics, forecasting, and management process automation.

Authors

Institutions

Publication Details

Journal
Municipal economy of cities
Published
2024-12-17
DOI
https://doi.org/10.33042/2522-1809-2024-6-187-2-7
Citations
2
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
0.70
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

CREATING DIGITAL TWINS OF SMART BUILDINGS ON THE AZURE DIGITAL TWINS PLATFORM

M. Pan, A.V. Kalaida
2 citations
Municipal economy of cities
Digital Transformation in Industry
0.70
article

CREATING DIGITAL TWINS OF SMART BUILDINGS ON THE AZURE DIGITAL TWINS PLATFORM

M. Pan, A.V. Kalaida
article en
2 citations

Abstract

The relevance of developing digital twins of smart buildings on the Azure Digital Twins platform is shaped by numerous factors reflecting contemporary trends in the construction industry and property management. The escalating demand for resource efficiency, optimizing energy usage, and augmenting user comfort are propelling the shift towards intelligent building systems. Azure Digital Twins presents remarkable capabilities for crafting digital models of buildings and their virtual representation. This enables the integration of innovative technologies like the Internet of Things (IoT), artificial intelligence, and data analytics to enhance building management. A key contemporary advantage lies in the real-time tracking of a building's systems, encompassing energy consumption, security, ventilation, and various facets. This facilitates prompt responses to ongoing issues and proactively prevents malfunctions. In the context of escalating demands for sustainable construction and energy-efficient management, creating digital twins of smart buildings on Azure Digital Twins becomes a necessary step towards achieving high productivity, cost reduction, and fostering comfortable living and working environments. The creation of digital twins for smart buildings on the Azure Digital Twins platform holds significance in municipal infrastructure management and resource optimization. This encompasses energy management, water supply, waste management, and other aspects of municipal services. In the broader context of overall IT development, creating digital twins of smart buildings reflects a powerful driver towards societal digital transformation. Integrating IoT, data analytics, and artificial intelligence into municipal infrastructure management heightens efficiency, rendering management processes more flexible and adaptive to change. Information technologies based on digital twins of smart buildings stimulate the advancement of intelligent cities, elevating residents' comfort and quality of life. The ontological approach allows for constructing models that not only accurately reflect physical object characteristics but also ensure a structured understanding of relationships between different elements. This enables efficient data analysis, prediction of potential changes, and real-time responsiveness. The application of ontologies in constructing digital twins emerges as a pivotal stage in IoT and smart technology industry evolution. It not only aids in virtual object modeling but also unlocks doors for innovative solutions in data analytics, forecasting, and management process automation.

Municipal economy of citiesVol. 6(187)
O.M. Beketov National University of Urban Economy in Kharkiv (UA)
Industry, innovation and infrastructure
Openalex Percentile: Top 24%
Digital Transformation in Industry
0.70
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.