用去中心化组织+数字孪生+大模型，让楼宇管理更安全透明
Data-driven and distributed governance of building facilities management using decentralized autonomous organization, digital twin, and large language models
- 通过DAO平台实现多方共同决策，打破传统集中控制
- 结合数字孪生与大模型，提升运维效率与决策支持能力
- 适合智慧建筑、物业管理等需要协同治理的场景
传统AI驱动的楼宇设施管理虽提升了运营效率，但受限于中心化架构，易受网络攻击，缺乏上下文理解，且关键利益相关方无法参与治理。本文提出一种融合去中心化自治组织（DAO）、数字孪生、大语言模型（LLMs）和区块链技术的新型分布式治理框架。该框架通过DAO平台实现透明的集体决策，利用物联网与数字孪生进行数据驱动管理，集成基于LLM的虚拟助手增强决策支持，并借助区块链保障楼宇自动化安全。开发了完整的去中心化应用以实现用户交互。系统在成本效益、可扩展性、数据安全性和可用性方面进行了评估，采用系统可用性量表（SUS）打分；同时通过专家访谈评估其实际价值与落地挑战。
原文摘要 · Abstract (English)
While traditional AI and data-driven facilities management approaches have improved building operational efficiency, they remain constrained by centralized organizational structures that are vulnerable to cyber attacks, limited contextual understanding, and decision-making processes that exclude key stakeholders from governance. This paper introduces a novel AI- and data-driven distributed governance framework for smart building management that integrates decentralized autonomous organizations (DAOs), digital twins, large language models (LLMs), and blockchain technology. The framework enables transparent collective decision-making through a DAO governance platform, implements data-driven management using IoT and digital twins, incorporates LLM-based virtual assistants for enhanced decision support, and utilizes blockchain for secure building automation. A full-stack decentralized application was developed to facilitate user interaction with these integrated components. The system was evaluated for cost efficiency, scalability, data security, and usability using the System Usability Scale (SUS). Expert interviews were also conducted to assess its practical benefits and implementation challenges.
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