基于边缘计算网关的流量在线监测系统研究OA

In view of the limitations of existing cloud-centralized online flow monitoring systems,such as long data transmission delays,excessive bandwidth consumption,and weak real-time response at the edge,this paper proposed an online flow monitoring system architecture based on an edge computing gateway.The technical principles and implementation approaches were elaborated from the aspects of hardware structure and computational resource allocation.By deploying the flow monitoring system on edge computing gateway devices,local real-time analysis of flow velocity data and cross-sectional flow calculation were achieved.System application and analysis were conducted using the online flow monitoring of a H-ADCP at the Gaobazhou Hydrological Station.The results showed that the proposed system performed well in online flow monitoring,with a systematic error of-0.5%and a random uncertainty of 13.8%between the estimated and measured flows,meeting industry accuracy requirements.The system effectively reduced the reliance of the flow calculation model on cloud servers.The research findings provide technical support for improving the efficiency of online flow monitoring and advancing the construction of digital twin hydrological stations.