用多个智能体协同控制数据中心制冷系统，提升能效与响应速度。
Multi-Agent Architecture in Distributed Environment Control Systems: vision, challenges, and opportunities
- 采用多智能体架构实现分布式自主调控。
- 显著提升系统响应性、鲁棒性和能源效率。
- 适合关注绿色数据中心与智能控制的研究者。
大型基础设施（尤其是数据中心）对节能解决方案的需求日益增长，亟需先进的控制策略来优化环境管理系统。本文提出一种用于数据中心风冷冷水机组分布式控制的多智能体架构。该架构通过自主智能体监控并调节局部运行参数，优化整体系统效率。实验表明，该方法显著提升了系统的响应速度、运行鲁棒性和能源效率，为可持续基础设施管理提供了有效路径。
原文摘要 · Abstract (English)
The increasing demand for energy-efficient solutions in large-scale infrastructure, particularly data centers, requires advanced control strategies to optimize environmental management systems. We propose a multi-agent architecture for distributed control of air-cooled chiller systems in data centers. Our vision employs autonomous agents to monitor and regulate local operational parameters and optimize system-wide efficiency. We demonstrate how this approach improves the responsiveness, operational robustness, and energy efficiency of the system, contributing to the broader goal of sustainable infrastructure management.
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