摘 要
随着信息技术的迅猛发展，大数据技术为物业管理领域带来了全新的机遇与挑战。本研究旨在探索大数据驱动下的智慧物业决策支持机制，以提升物业管理效率和服务质量。通过整合多源异构数据，包括业主行为数据、设备运行数据及环境监测数据，研究构建了一套基于大数据分析的智慧物业决策支持系统。该系统采用机器学习算法对数据进行深度挖掘，并结合可视化技术实现动态监控与预测预警功能。研究结果表明，该系统能够显著提高物业决策的科学性和精准性，有效降低运营成本并优化资源配置。此外，本研究创新性地提出了“数据驱动+场景适配”的智慧物业框架，强调数据价值的最大化利用与实际业务需求的深度融合。这一框架不仅为物业管理提供了智能化解决方案，还为相关领域的数字化转型提供了有益参考。总体而言，本研究的主要贡献在于将大数据技术与物业管理实践有机结合，推动了行业向智慧化方向迈进，同时为未来的研究奠定了理论和技术基础。
关键词：大数据驱动；智慧物业；决策支持系统；机器学习；数据价值最大化
Big Data-Driven Decision Support for Intelligent Property Management
Abstract: With the rapid development of information technology, big data technology has brought new opportunities and challenges to the property management field. This study aims to explore a decision support mechanism for smart property driven by big data in order to enhance the efficiency of property management and the quality of services. By integrating multi-source heterogeneous data, including owner behavior data, equipment operation data, and environmental monitoring data, this research constructs a smart property decision support system based on big data analytics. The system employs machine learning algorithms for in-depth data mining and combines visualization techniques to achieve dynamic monitoring and predictive warning functions. The results indicate that this system can significantly improve the scientific nature and accuracy of property management decisions, effectively reduce operational costs, and optimize resource allocation. Furthermore, this study innovatively proposes a "data-driven + scenario-adaptive" fr amework for smart property, emphasizing the maximization of data value and the deep integration with actual business needs. This fr amework not only provides intelligent solutions for property management but also offers valuable references for digital transformation in related fields. Overall, the primary contribution of this study lies in the organic combination of big data technology with practical property management, promoting the industry's advancement toward smartification while laying a theoretical and technical foundation for future research.
Keywords: Big Data Driven; Intelligent Property Management; Decision Support System; Machine Learning; Maximization Of Data Value
目 录
一、绪论 1
（一）研究背景与意义 1
（二）国内外研究现状分析 1
（三）研究方法与技术路线 1
二、大数据驱动的智慧物业基础理论 2
（一）智慧物业的核心概念与内涵 2
（二）大数据在智慧物业中的应用价值 2
（三）数据驱动决策的支持框架构建 3
三、数据采集与处理技术在智慧物业中的应用 4
（一）物业数据采集的关键技术 4
（二）数据清洗与预处理方法 4
（三）数据整合与存储策略 5
四、智慧物业决策支持模型构建与优化 5
（一）决策支持模型的设计原则 5
（二）基于大数据的预测分析方法 6
（三）模型优化与实际应用案例 6
结论 7
参考文献 8
致 谢 9
