Processing, storing and sharing method for mass Internet of Things data modeling

Abstract

The invention discloses a massive Internet of Things data modeling processing, storage and sharing method, which comprises the following steps: dividing Internet of Things data into structured data and unstructured data, dividing the structured data into sensing data and service data, and dividing the sensing data into dynamic data and static data; the method specifically comprises the following steps: establishing an Internet of Things structured data model; establishing an unstructured data model of the Internet of Things; carrying out edge fusion processing on the Internet of Things data; performing redundancy elimination storage on the data of the Internet of Things equipment; performing classified storage on the Internet of Things data; sharing the data of each database; and synchronizing the Internet of Things data between each server and the Internet of Things equipment. The Internet of Things data model of unified data is established for mass multi-source Internet of Things data, the problem of multi-source heterogeneous data is solved, the problems of high data storage redundancy, poor data processing timeliness and the like are solved, the storage utilization rate of a data center is improved, and the transmission pressure and the storage pressure of the data center are relieved.

Description

Technical field [0001] The present invention relates to the field of Internet of Things, in particular, to a process, storage and sharing method of massive distribution, storage and sharing. Background technique [0002] At present, with the increase of the network data type and the increase in data size, the network data presents data multi-source, heterogeneous characteristics, and the various diversity of data management brings a problem to data management, and the data is required to pass the data. Pattern expression is managed to facilitate friendly interaction, data sharing and data increase, delete, change, and so on. At the same time, with the increase in the type of the Internet of Things and the increase in data size, data storage costs are increasing, which puts forward new challenges for the storage of the Internet of Things data. Therefore, how to store, manage, and share these massive network data has become an urgent problem to be solved. The non-structural network...

AI Technical Summary

Problems solved by technology

The invention defines a massive IoT data storage method based on the IoT data model, solves the problems of high data storage redundancy and poor data processing timeliness, and improves the storage utilization rate of the data center

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