净水技术2025，Vol.44Issue(6)：188-195,8.DOI:10.15890/j.cnki.jsjs.2025.06.023
Jetson边缘计算在泵房智能监测与预警系统中的应用
Application of Jetson Edge Computing in Intelligent Monitoring and Early Warning System of Pumping Station
摘要
Abstract
[Objective]This paper addresses the challenges of complex environmental conditions,high maintenance costs,and insufficient intelligence in secondary water supply pump rooms for high-rise buildings during urbanization by developing an intelligent monitoring system based on an edge computing platform.[Methods]The system integrated advanced object detection algorithms on a high-performance computing platform to achieve comprehensive real-time monitoring of pump room environments,enabling efficient identification of multiple risk events,including unauthorized intrusion,water leakage,and material stacking.The hardware adopted an industrial-grade ruggedized enclosure design,ensuring robust environmental adaptability and communication stability,while the software employed a modular architecture with coordinated functional modules and an automatic recovery mechanism to maintain system reliability.[Results]Test result demonstrated that the system maintains stable performance under harsh operating conditions,exhibited rapid detection response times,and achieved superior accuracy in anomaly recognition during practical deployments.Compared to conventional monitoring solutions,the system significantly enhanced monitoring coverage and operational efficiency while reducing implementation costs,without requiring structural modifications to existing infrastructure.[Conclusion]The integration of edge computing and artificial intelligence technologies effectively resolves critical technical challenges in unmanned pump room monitoring,offering distinct advantages in real-time responsiveness,environmental adaptability,and cost-effectiveness.This solution not only provides an innovative framework for smart water management but also serves as a valuable reference for intelligent upgrades in related industrial domains,driving the digital transformation of urban infrastructure with substantial practical implications.关键词
二次供水泵房/目标检测/无人值守/监测系统/物联网Key words
secondary water supply pumping station/target detection/unattended operation/monitoring system/internet of things分类
建筑与水利引用本文复制引用
胡玲,乔庆,章旻,邓慧萍,宁梦佳,史俊..Jetson边缘计算在泵房智能监测与预警系统中的应用[J].净水技术,2025,44(6):188-195,8.基金项目
上海城投科研项目:基于声像识别的二次供水泵房智能运维研究(KY.GS.23.005) （KY.GS.23.005）
