Summary of Autonomous Building Cyber-physical Systems Using Decentralized Autonomous Organizations, Digital Twins, and Large Language Model, by Reachsak Ly et al.
Autonomous Building Cyber-Physical Systems Using Decentralized Autonomous Organizations, Digital Twins, and Large Language Model
by Reachsak Ly, Alireza Shojaei
First submitted to arxiv on: 25 Oct 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper introduces a novel Decentralized Autonomous Building Cyber-Physical System framework, which integrates decentralized autonomous organizations (DAOs), large language models (LLMs), and digital twins to create a smart, self-managed, operational, and financially autonomous building infrastructure. The framework leverages LLM-based artificial intelligence assistants for intuitive human-building interaction and blockchain-based management of building operations. Six real-world scenarios were tested to evaluate the system’s workability, demonstrating its ability to manage building revenue and expenses, control facilities using AI-assisted facility control, and autonomously adjust building systems. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper makes buildings smarter by creating a self-managed infrastructure. It uses special computer programs (LLMs) to help people interact with buildings and blockchain technology to make sure things are done correctly. The paper also tests this system in real-life scenarios and shows it can manage money, control facilities, and adjust building systems on its own. |
