As the construction of IoT for power distribution advances, millions of power distribution equipment, electrical quantity sensors and condition sensors will be connected to the IoT network, thus generating huge amounts of heterogeneous power distribution data, whose collection, transmission and calculation will put great pressure on the communication channel and the master station storage and calculation system. To solve the above-mentioned distribution network problems, edge computing technology is introduced and an edge computing platform is deployed on the end-side to achieve lightweight data processing. The contradiction between the huge amount of data generated by IoT terminals and their QoS requirements, and the limited system resources, makes it imperative to study QoS-awareness transmission methods for edge computing networks.
The rapid development of power system communication enables Power Communication network communication devices become more complex, more and more communication lines, which give the communication resource management, especially resource management circuit has posed a serious challenge. This article also power system communication circuit resource management conducted in-depth analysis, and on the basis of standardized circuit application processes through software automation for circuit resource management and scheduling. 1. Introduction After decades of development, power communication network has become the communication diverse, well-structured and functional modern communications network, widely used in dispatching telephone system, protection and other aspects of remote power, became the three pillars of power system one. With the rapid development of power communication system, a substantial increase in the number of transmission lines, transmission system capacity increasingly large, while the data network nodes increases, an increasing network bandwidth, making network maintenance and data management becomes very large , resulting in increased network management, the difficulty and complexity of the circuit scheduled work, if the traditional network management methods, will inevitably lead to inefficiency, and error prone.
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