供水物联网感知数据集

本数据集由江苏中法水务基于物联网技术构建，汇聚其远传水表实时采集的累计流量、瞬时流量、设备状态及异常报警等数据，通过NB-IoT/4G等通信技术实现高频持续传输与云端标准化存储。数据集面向智慧水务研究与城市供水管理，提供多条件组合查询（时间、区域、用户类型）及RESTful API接口，支持定时拉取或事件触发式数据推送，满足第三方系统集成需求。采用分级权限管理与数据脱敏机制，确保安全合规。数据覆盖管网漏损监测、用户用水行为分析、阶梯水价优化等场景，为机器学习、时序预测及异常检测提供高质量支撑，助力水务运营效率提升与水资源可持续管理。接口文档完备，适配算法验证与工程实践。This dataset was developed by Jiangsu Zhongfa Water Co., Ltd. based on Internet of Things (IoT) technology. It aggregates data collected in real time by its remote water meters, including cumulative flow rate, instantaneous flow rate, equipment status, abnormal alarms and other related metrics. The dataset enables high-frequency and continuous data transmission via communication technologies such as NB-IoT and 4G, followed by standardized cloud-based storage. Targeted at smart water research and urban water supply management scenarios, it offers multi-condition combined query functions (supporting queries by time, region and user type) and RESTful API interfaces. It supports scheduled data pulling and event-triggered data pushing to meet the integration requirements of third-party systems. Adopting hierarchical permission management and data desensitization mechanisms, the dataset ensures data security and compliance. Covering scenarios such as pipeline leakage monitoring, user water consumption behavior analysis, tiered water price optimization and other relevant applications, it provides high-quality support for machine learning, time series forecasting and anomaly detection tasks, helping to improve water utility operational efficiency and advance sustainable water resource management. Additionally, it is equipped with complete API documentation, making it suitable for algorithm verification and engineering practice.

搜集汇总

背景与挑战

背景概述

该数据集由江苏中法水务基于物联网技术构建，汇聚远传水表实时采集的累计流量、瞬时流量、设备状态及异常报警数据，通过NB-IoT/4G通信实现高频传输与云端存储。它面向智慧水务研究与城市供水管理，提供多条件查询和RESTful API接口，支持管网漏损监测、用户用水行为分析等场景，为机器学习、时序预测及异常检测提供高质量数据支撑，助力水务运营效率提升与水资源可持续管理。