Reproduce “B-SMART: A Reference Architecture for Artificially Intelligent Autonomic Smart Buildings” on OpenResearch
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About this paper
Mikhail Genkin, J. J. McArthur
B-SMART is presented as the first reference architecture specifically designed for artificially intelligent autonomic smart buildings, offering a systematic framework for integrating AI to enable self-managing, energy-efficient operations and support Smart and Ongoing Commissioning (SOCx). A case study on an existing smart building demonstrated its utility in identifying architectural shortcomings and guiding the development of full autonomic capabilities.
Key insights
- Achieving truly autonomic smart building operations requires a systematic, layered architectural approach that fully decouples functionalities and integrates AI across all self-management properties.
- The established MAPE-K model, when adapted and extended with smart building-specific layers and a central knowledge repository, provides a robust foundation for self-configuration, self-optimization, self-healing, and self-protection.
- Effective integration of heterogeneous legacy Building Automation Systems (BAS) and diverse IoT devices into a cohesive autonomic system is achievable through message-level integration and a structured data processing pipeline.
Summary by alphaXiv.
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