Lightweight Processing Method for Power IoT Terminal Data Based on Cloud Edge Collaboration
In the large-scale high-frequency data transmission application of the power Internet of Things(IoT),due to the massive real-time data transmission on site,it will cause the inability to effectively compress on-site data,resulting in low efficiency of cloud edge in-formation transmission and high transmission flow costs.We propose a lightweight processing method for power IoT data based on cloud edge collaboration(LPCE).This method is based on an object model structure,which extracts cloud edge interaction data to form a compression dictionary,and synchronizes the compression dictionary to edge devices to complete massive data compression.We conduct comparative analysis experiments on traditional common compression methods in terms of data efficiency,compression rate,compression time,compression speed,and decompression speed.The experimental results show that the LPCE method proposed has significant effectiveness and advantages in compressing interactive data represented by JSON(JavaScript Object Notation)format message data in high-frequency and real-time transmission power Internet of Things systems.The proposed method achieves lossless compression of cloud edge data in the power Internet of Things,which can reduce redundant data transmission between cloud edges,improve cloud edge data transmission efficiency,and reduce data transmission costs between cloud edges.
Electric Internet of Thingscloud edge collaborationdata compressionedge computingsmart IoTmultiple perception
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