摘 要
智能建筑的快速发展对给排水系统的设计与优化提出了更高要求，传统设计方法在效率、灵活性和智能化水平方面逐渐显现出不足。本研究以提升智能建筑给排水系统的性能为目标，结合现代信息技术与工程优化理论，提出了一种基于物联网（IoT）和人工智能（AI）的综合设计与优化框架。通过引入传感器网络实现数据实时采集，并利用机器学习算法对用水模式进行预测与分析，从而为系统运行提供动态调整依据。同时，研究开发了多目标优化模型，综合考虑能耗、成本及环境影响等关键因素，实现了系统配置的科学化与精细化。实验结果表明，该方法能够显著降低系统运行能耗，提高水资源利用效率，并有效减少维护成本。此外，本研究还设计了一套适用于智能建筑的故障诊断与预警机制，进一步提升了系统的可靠性和安全性。创新点在于将智能化技术与传统给排水工程深度融合，构建了具备自适应能力的系统架构，为未来智能建筑的可持续发展提供了重要参考。研究成果不仅验证了技术可行性，还为相关领域的工程实践提供了理论支持与实际指导。
关键词：智能建筑；给排水系统优化；物联网（IoT）；人工智能（AI）；多目标优化模型
ABSTRACT
The rapid development of smart buildings has imposed higher requirements on the design and optimization of water supply and drainage systems, while traditional design methods are gradually revealing deficiencies in terms of efficiency, flexibility, and intelligence. This study aims to enhance the performance of water supply and drainage systems in smart buildings by integrating modern information technology with engineering optimization theory, proposing a comprehensive design and optimization fr amework based on the Internet of Things (IoT) and artificial intelligence (AI). By introducing a sensor network for real-time data collection and employing machine learning algorithms to predict and analyze water usage patterns, this fr amework provides a dynamic adjustment basis for system operation. Additionally, a multi-ob jective optimization model was developed, taking into account key factors such as energy consumption, cost, and environmental impact, thereby achieving scientific and refined system configuration. Experimental results demonstrate that this method can significantly reduce operational energy consumption, improve water resource utilization efficiency, and effectively decrease maintenance costs. Furthermore, this research designs a fault diagnosis and early warning mechanism tailored for smart buildings, enhancing the reliability and safety of the system. The innovation lies in the deep integration of intelligent technologies with traditional water supply and drainage engineering, constructing a system architecture with adaptive capabilities, which offers significant reference for the sustainable development of future smart buildings. The research not only verifies the technical feasibility but also provides theoretical support and practical guidance for engineering practices in related fields.
Keywords: Smart Building; Water Supply And Drainage System Optimization; Internet Of Things (IoT); Artificial Intelligence (Ai); Multi-ob jective Optimization Model
目 录
摘 要 I
ABSTRACT II
第1章 绪论 1
1.1 智能建筑给排水系统研究背景 1
1.2 研究智能建筑给排水系统的意义 1
1.3 国内外研究现状分析 2
1.4 本文研究方法与技术路线 2
第2章 智能建筑给排水系统设计基础 3
2.1 智能建筑设计的基本原则 3
2.2 给排水系统的设计要求与规范 3
2.3 关键技术在系统设计中的应用 4
2.4 设计中常见问题及解决方案 4
2.5 智能化技术对设计的影响 5
第3章 智能建筑给排水系统的优化策略 6
3.1 系统优化的目标与评价标准 6
3.2 节能减排在优化中的作用 6
3.3 数据驱动的优化方法研究 7
3.4 优化过程中的成本控制分析 7
3.5 实际案例中的优化效果评估 8
第4章 智能建筑给排水系统的实施与管理 9
4.1 系统实施的关键环节分析 9
4.2 施工阶段的技术与质量控制 9
4.3 运行管理中的智能化手段 10
4.4 故障诊断与维护策略研究 10
4.5 长期运行效益评估 11
结论 12
参考文献 13
致 谢 14
