物联网与AI协同的楼宇智能配电监控系统设计及节能应用

Design and Energy-Saving Application of an Intelligent Building Power Distribution Monitoring System with IoT and AI Collaboration

摘要: 针对传统楼宇配电监控系统存在的数据孤岛、故障响应滞后、能耗管理粗放等问题，本文提出了一种融合物联网与人工智能技术的楼宇智能配电监控系统设计方案。系统采用感知层、边缘计算层、云端决策层三层架构，通过物联网设备实现数据采集，利用AI算法完成负荷预测、故障诊断和节能优化。以某12.8万m²商业综合体为例，系统运行数据显示配电监控准确率达94.1%，综合节能率达15.9%，年节约电费42.3万元，投资回收期2.24年。研究成果为存量建筑电气系统智能化改造提供了可行的技术路径。

Abstract: Aiming at addressing issues such as data silos, delayed fault response, and inefficient energy management in traditional building power distribution monitoring systems, this paper proposes a design for an intelligent building power distribution monitoring system that integrates Internet of Things (IoT) and artificial intelligence (AI) technologies. The system adopts a three-layer architecture comprising a perception layer, an edge computing layer, and a cloud decision-making layer. Data collection is achieved through IoT devices, while AI algorithms are utilized for load forecasting, fault diagnosis, and energy-saving optimization. Taking a 128,000 m² commercial complex as an example, operational data shows that the system achieves a power distribution monitoring accuracy of 94.1%, a comprehensive energy-saving rate of 15.9%, annual electricity cost savings of 423,000 RMB, and an investment payback period of 2.24 years. The research findings provide a feasible technical pathway for the intelligent transformation of electrical systems in existing buildings.