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) technologies. It aggregates real-time data collected by remote water meters, including cumulative flow, instantaneous flow, equipment status, abnormal alarms and other relevant metrics. High-frequency and sustained data transmission and standardized cloud storage are implemented via communication technologies such as NB-IoT and 4G. Targeted at smart water utility research and urban water supply management, this dataset provides multi-condition combined query capabilities (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 demands of third-party systems. A hierarchical permission management system and data desensitization mechanism are adopted to ensure data security and compliance. The dataset covers scenarios including pipeline leakage monitoring, user water consumption behavior analysis, tiered water price optimization and other related applications. It offers high-quality support for machine learning, time series prediction and anomaly detection tasks, and contributes to improving water utility operation efficiency and sustainable water resource management. Complete interface documentation is provided, making it adaptable for algorithm verification and engineering practice.

搜集汇总

背景与挑战

背景概述

供水物联网感知数据集由江苏中法水务股份有限公司提供，基于物联网技术构建，包含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，适用于智慧水务研究与城市供水管理。数据集支持多条件组合查询及RESTful API接口，助力水务运营效率提升与水资源可持续管理。