摘要
文中针对直饮水站运维效率低、水质监测滞后、实时监控能力不足等问题,提出一种基于物联网技术的智能直饮水站远程监控与水质预警系统。通过多层级架构实现水质数据的实时采集、分析与预警,提升直饮水站运维管理的智能化水平。系统采用4层物联网架构,集成高精度水质传感器阵列、边缘计算模块及低功耗广域网络NB-IoT/LoRa双模传输,实现水质参数的动态监测与异常检测。云端部署LSTM时序预测模型,结合多级智能预警机制,显著提升水质风险防控能力。交互界面融合三维可视化与多终端协同技术,支持远程运维与移动端AR操作。通过数据驱动的决策优化,为智慧城市饮水基础设施的优化转型提供了技术支持。
This paper proposes an IoT-based smart remote monitoring and water quality early warning system for direct drinking water stations to address inefficiencies in operation,delayed monitoring,and lack of real-time oversight.Using a fourlayer IoT architecture,the system integrates high-precision sensors,edge computing,and NB-IoT/LoRa transmission for real-time water quality tracking and anomaly detection.A cloud-based LSTM prediction model and multi-level alerts enhance risk prevention.The interactive interface supports 3D visualization,remote O&M,and mobile AR,enabling data-driven optimization for smart city water infrastructure.
作者
张彩瑜
ZHANG Caiyu(National Energy Shendong Coal Group Mining Service Company,Yulin,Shaanxi 719315,China)
出处
《移动信息》
2025年第9期274-276,共3页
Mobile Information
关键词
物联网
智能直饮水站
远程监控
水质预警
系统设计
Internet of things
Smart water station
Remote monitoring
Water quality warning
System design
