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.

翻译：随着大规模基础设施（尤其是数据中心）对节能解决方案的需求日益增长，需要采用先进的控制策略来优化环境管理系统。本文提出了一种用于数据中心风冷式冷水机组系统分布式控制的多智能体架构。该架构通过自主智能体监测和调节局部运行参数，并优化系统整体效率。我们论证了该方法如何提升系统的响应性、运行鲁棒性和能源效率，从而为实现可持续基础设施管理的更广泛目标做出贡献。