Edge Node Data Classification Method For Power Internet Of Things

Under the background of electric power Internet of things (P-IoT), the traditional cloud computing operation mode with centralized processing of data center is difficult to adapt to the rapid expansion of data scale. In this paper, based on the construction of power Internet of things data processing architecture based on edge computing, a new sensing adaptive data processing method is proposed. Firstly, an adaptive sensing mechanism of edge node data type based on counting bloom filter is designed to automatically identify the data types of power Internet of things. Secondly, a plug-in processing method including the general portable file tail (GPFT) is designed to realize the effective classification of power IOT data. Simulation results show that the proposed method can effectively improve the classification performance of massive P-IoT t data.