Cloud-edge collaborative data processing architecture for state assessment of transmission equipments

Abstract

In the process of asset status assessment, the power transmission intelligent Internet of Things (IoT) with smart towers as the core IoT nodes faces many problems such as large workload of physical information, poor data quality, large data processing delay and heavy cloud computing pressure. At the same time, traditional front-end sensing equipment is limited by the actual hardware computing power level and low power consumption requirements, which makes the front-end algorithm low in intelligence and consumes a lot of manual data verification. In view of the above problems, this paper proposes a cloud-edge collaborative data processing architecture suitable for transmission asset status assessment by combining big data framework, deep learning and edge computing technology. The architecture clearly divides the functions of the cloud, edge and data terminals based on the status assessment requirements of power transmission assets, and then divides a part of the data processing and analysis operations in the cloud to the edge, which reduces the computing pressure on the cloud and enhances resources utilization rate.