Intelligent Terminal Data Compression Method Based on Edge Computing

With the rapid economic and social development, China has basically achieved full coverage of smart meters. Power companies have accumulated massive amounts of smart meter measurement data, which increases the workload of data analysis and processing on the server side, and also greatly increases the pressure on the channel. In order to achieve efficient compression of metering data and reduce pressure on data analysis and processing, this paper proposes an intelligent terminal data compression method based on edge computing. Under the framework of edge computing, this method uses the empirical mode decomposition algorithm to decompose the original distribution information data, based on the wavelet threshold denoising algorithm to reduce the noise of the components, and uses the set partitioning in hierarchical trees algorithm to compress the cleaned data. Finally, an example analysis verifies the effectiveness and optimization effect of the proposed method. It reduces the pressure of the intelligent measurement system on the data transmission of the communication channel, and at the same time achieves the purpose of effectively cleaning and compressing the measurement data.