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This study investigates the key challenges, gaps, and difficulties associated with in-door environmental quality (IEQ) monitoring at Kaunas University of Technology. As part of the SmartWins project, the research explores the complexities involved in integrating advanced sensor technologies, digital twins, and data analytics to create a real-time monitoring system. The study outlines the technical challenges and the difficulties of ensuring seamless data interoperability between various systems, and the complexities of scaling these solutions to real-world building systems. Furthermore, it identifies the gaps in current digital monitoring frameworks, particularly the lack of standardized protocols for integrating IEQ data with broader building management systems and predictive analytics tools. By focusing on these challenges, this research contributes to the development of robust methodologies for digitalizing IEQ monitoring in smart buildings, highlighting the crucial role of digital tools in improving indoor environmental quality while maintaining energy efficiency. The findings offer valuable insights for overcoming technical and operational barriers in creating scalable, sustainable IEQ monitoring solutions.

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Challenges in Digitalizing Indoor Environmental Monitoring: Insights from the IEQ Monitoring Systems at Kaunas University of Technology

  • 会议论文

  • 发表日期：

    2026年

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  • Paulius Spudys,
  • Rossano Scoccia,
  • Darius Pupeikis,
  • Andrius Jurelionis,
  • Paris Fokaides,
  • Livio Mazzarella

摘要

This study investigates the key challenges, gaps, and difficulties associated with in-door environmental quality (IEQ) monitoring at Kaunas University of Technology. As part of the SmartWins project, the research explores the complexities involved in integrating advanced sensor technologies, digital twins, and data analytics to create a real-time monitoring system. The study outlines the technical challenges and the difficulties of ensuring seamless data interoperability between various systems, and the complexities of scaling these solutions to real-world building systems. Furthermore, it identifies the gaps in current digital monitoring frameworks, particularly the lack of standardized protocols for integrating IEQ data with broader building management systems and predictive analytics tools. By focusing on these challenges, this research contributes to the development of robust methodologies for digitalizing IEQ monitoring in smart buildings, highlighting the crucial role of digital tools in improving indoor environmental quality while maintaining energy efficiency. The findings offer valuable insights for overcoming technical and operational barriers in creating scalable, sustainable IEQ monitoring solutions.