Industrial internet-of-things distributed data access method and database system

Abstract

The invention discloses an industrial internet-of-things distributed data access method and a database system. The method comprises the steps of allocating a sub-database to a measurement data source of a region, wherein each sub-database stores the data content of the region, and a main database stores an IP address and a data source range of each sub-database; when the main database receives a data subscription request from an application service, matching a data source range in the request with that of each sub-database, finding IP address / addresses of one or more matched sub-databases, and sending the data subscription request to the sub-databases; and after the data reported by the sub-database is received, returning the data to the corresponding application service. Therefore, huge data in an industrial internet-of-things system can be reasonably split and stored; the main database can quickly find an actual storage position of each piece of the data and call the data; while industrial internet-of-things application demands are met, the load of the main database can be reduced and the data search speed can be increased; and the database can be expanded infinitely and is smooth to upgrade.

Description

technical field [0001] The invention relates to a distributed data access technology of the industrial internet of things. Background technique [0002] The Internet of Things for industrial environment monitoring is generally widely distributed, and may be distributed in different regions of the country or even the world, with multiple sub-sites. Each sub-station generally includes: bottom-level sensor nodes, secondary industrial control equipment for data collection, sub-station monitoring center for real-time monitoring, summarization and analysis of data; monitoring centers of different sub-stations through the network (including public network, private network) etc.) finally access the general control center, and upload the collected data to the real-time database of the general control center. When various applications need to use data, they will request data from the real-time database of the main station. The source of the data is retrieved in the database, and the ...

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Problems solved by technology

[0003] However, in this way, the real-time database needs to save all data, the data volume is huge, and the data query speed is relatively slow, especially for the later system expansion, adding more sub-stations, and adding more access points (data measurement sources) This problem is particularly prominent in

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