Cloud distributed real-time database system

Abstract

The invention discloses a cloud distributed real-time database system which comprises a real-time database and a real-time service bus. The real-time database comprises a storage layer with a distributed hierarchical structure, a positioning layer and an interface layer; the storage layer stores a real-time model based on a distributed NoSQL database, and the real-time model corresponds to a relational model of a relational database of the power grid system; the positioning layer is used for storing fragmented memory snapshots, and the fragmented memory snapshots comprise monitoring model snapshots, numerical section snapshots, transaction snapshots and the like; the interface layer provides a transaction type component and is used for realizing establishment, access and processing of a fragmented memory snapshot; and the real-time service bus comprises a model loading service, a fat client service and the like. Based on the intelligent power grid regulation and control system CIM model grouping and slicing technology, fat client service real-time calculation processing and thin client quasi-real-time access are achieved, model checking and synchronization functions are expanded, and concurrent control and extension expansibility of the system are improved.

Description

technical field [0001] The invention relates to a database system, in particular to a cloud-based distributed real-time database system for smart grids. Background technique [0002] The traditional distributed real-time database supporting the fourth-generation SCADA / EMS system centers on the shared memory cache and builds monitoring business applications layer by layer; uses the hierarchical index technology of the hash ring to build the access interface of each cache layer , the application service master node collects and collects data and operation instructions, completes calculation and snapshot maintenance, and multicasts the changed data to the standby node to maintain its snapshot. [0003] The partition fault tolerance of traditional real-time databases is poor, and the capacity and performance are limited by the resources of a single node, which is easy to form resource islands and information islands; relational databases do not support distributed deployment and...

AI Technical Summary

Problems solved by technology

[0003] The partition fault tolerance of traditional real-time databases is poor, and the capacity and performance are limited by the resources of a single node, which is easy to form resource islands and information islands; relational databases do not support distributed deployment and high concurrent access; after NoSQL databases are distributed, they need to be accessed across networks. Does not support frequent access

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