物业小区设施巡检与维护决策数据集

数据集由公司通过系统化数据工程构建，主要来源于公司管辖的马鞍山市住宅与商业物业的设施管理系统，涵盖电梯、消防、供水、供电、空调、安防、智能化等11大类设施；巡检团队通过智能移动端记录巡检数据，结合传感器实时采集的设备运行参数，数据记录在公司内部系统中，进行规则处理之后，形成数据集。

This dataset was constructed by the company through systematic data engineering, mainly sourced from the facility management systems for residential and commercial properties under the company's jurisdiction in Ma'anshan City, covering 11 major categories of facilities including elevators, fire protection, water supply, power supply, air conditioning, security, and intelligent systems. Inspection teams record inspection data via smart mobile terminals, combined with real-time equipment operating parameters collected by sensors. All recorded data is stored in the company's internal system, and after rule-based processing, the final dataset is formed.

搜集汇总

背景与挑战

背景概述

该数据集专注于物业小区设施的巡检与维护决策，包含45条结构化数据，每年更新，涵盖电梯、消防泵、门禁系统等多种设施类型。数据集提供了详细的巡检记录、维护效果评估以及预测性指标（如故障概率和设施健康指数），旨在支持预测性维护策略，帮助物业服务企业优化资源调度并降低运营成本。此外，它还包括算法规则说明，用于计算问题严重程度和维护难度等关键参数，适用于城市管理和设备制造等多元应用场景。