A Context-aware Data Processing Model in power communication networks

Abstract

The power communication networks is a relatively complex system with high security, which is performed in a number of ways, such as safety of power generation equipment, security of transmission and distribution lines, as well as data transmission security. The core of power communication networks security is context-aware data processing. With continuously extending in scale of the power communication networks, power communication data process become more complicated. In order to realize automatization of data processing of the power communication networks, this paper proposed a Context-aware Data Processing Model in power communication networks (CDPM). In this three-layer architecture, a Distributed Database Based on Data Categorization (DDB-DC) is designed in storage layer, which is able to choose the most efficient approach to store the context-aware data from the gathering layer according to different context-aware data types. Then, a Real-time Feature Extraction algorithm (RFE) for context-aware systems is presented in the computing layer to process the context-aware data stream. The model is a new data processing method in power communication networks.