Encryption and convergence method for massive high-frequency dispersed data

Abstract

The invention relates to the technical field of massive high-frequency dispersed data processing methods, and provides an encryption and convergence method for massive high-frequency dispersed data. The method comprises the following steps: step 100, establishing a plurality of sensing nodes, acquiring high-frequency data by using each sensing node, and uploading the acquired data to a distributed edge computing node; step 200, performing identity authentication on the equipment of the sensing node by the distributed edge computing node, locally caching the data, performing data priority classification and encryption processing, and then uploading the processed data to a data aggregation node through a self-organizing network; step 300, after the data aggregation node receives the data, storing the data by using a database, and uploading the data to a cloud processing platform through a data priority queue service; and step 400, after the cloud processing platform receives the data, storing the data, establishing various data theme libraries on the private cloud, and providing a data cloud service for an application system. According to the invention, the efficiency of processing high-frequency dispersed data can be improved.

Description

technical field [0001] The invention relates to the technical field of encryption aggregation, in particular to an encryption aggregation method for massive high-frequency dispersed data. Background technique [0002] In recent years, the development of computing tools and methods has greatly reduced the cost of data recording and storage, making it possible to analyze large-scale data. Therefore, data in many fields are beginning to be collected on a finer and finer time scale, and such data is called high frequency data (higfrequency data). This kind of data is usually measured in "seconds". Compared with traditional low-frequency observation data (such as weekly data, monthly data, etc.), the high-frequency data obtained at shorter time intervals presents some unique features. features, and it is these features that have fueled the growing interest in the analysis of high-frequency data. [0003] Smart communities generate a large amount of high-frequency data every day...

AI Technical Summary

Problems solved by technology

[0005] The present invention mainly solves the technical problem of excessive data processing pressure of the existing smart community center nodes, and proposes an encryption and convergence method for massive high-frequency scattered data, so as to achieve the purpose of improving the efficiency of processing scattered data

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