Holistic design of wireless building automation systems

Ploennigs, Joern; Dibowski, Henrik; Ryssel, Uwe; Kabitzsch, Klaus

doi:10.1109/etfa.2011.6059107

Cited by 10 publications

(1 citation statement)

References 21 publications

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“…An automated technique for the design of wireless automation systems in smart buildings was developed by Ploennigs et al [51]. Despite their rising popularity, wireless systems can only be set up correctly when too much emphasis is placed on trial-anderror configuration methods.…”

Section: Ai-based Simulations For Designing Smart Buildingsmentioning

confidence: 99%

Architectural Reply for Smart Building Design Concepts Based on Artificial Intelligence Simulation Models and Digital Twins

Almusaed

Yitmen

2023

Sustainability

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Artificial Intelligence (AI) simulation models and digital twins (DT) are used in designing and treating the activities, layout, and functions for the new generation of buildings to enhance user experience and optimize building performance. These models use data about a building’s use, configuration, functions, and environment to simulate different design options and predict their effects on house function efficiency, comfort, and safety. On the one hand, AI algorithms are used to analyze this data and find patterns and trends that can guide the design process. On the other hand, DTs are digital recreations of actual structures that can replicate building performance in real time. These models would evaluate alternative design options, the performance of the building, and ways to improve user comfort and building efficiency. This study examined the important role of intelligent building design aspects, such as activities using multi-layout and the creation of particular functions based on AI simulation models, in developing DT-based smart building systems. The empirical data came from a study of architecture and engineering firms throughout the globe using a CSAQ (computer-administered, self-completed survey). For this purpose, the study employed structural equation modeling (SEM) to examine the hypotheses and build the relationship model. The research verifies the relevance of AI-based simulation models supporting the creation of intelligent building design features (activities, layout, functionalities), enabling the construction of DT-based smart building systems. Furthermore, this study highlights the need for further exploration of AI-based simulation models’ role and integration with DT in smart building design.

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Section: Ai-based Simulations For Designing Smart Buildingsmentioning

confidence: 99%