Edge computing model for coupled monitoring of conductor sag and safety distance risk

The safe operation of transmission lines is crucial for the transmission of electrical energy, and arc sag and safety distance have attracted extensive research as important parameters for measuring whether transmission lines are operated safely or not. In this paper, we present an innovative edge computation model for monitoring arc sag and safety distance in transmission lines. The model combines real-time data collection with a localized computational process to ensure timely and accurate detection of risks faced by transmission lines. By utilizing the distributed capabilities of edge computing, the model reduces latency and improves monitoring response time.