Real-time database system architecture for intelligent factory

Abstract

The invention discloses a real-time database system architecture for an intelligent factory. The real-time database system architecture comprises high-reliability real-time data acquisition and storage middleware, a database cluster, a data service layer, a database system operation management module and a database system safety management module. The high-reliability real-time data collection and storage middleware serves as the bottom layer of the real-time database system architecture and is used for acquiring production and manufacturing related data of an intelligent factory from different data sources in real time. The data service layer serves as the top layer of the real-time database system architecture and is used for outputting data processed, extracted, stored and analyzed by the high-reliability real-time data acquisition and storage middleware, the database cluster, the data service layer, the database system operation management module and the database system security management module to the data application layer for various intelligent factory informatization systems to use. A modular design is adopted, the universality and interchangeability are improved, the system fault repair time is shortened, and weak links can be pertinently perfected and optimized in expansibility.

Description

technical field [0001] The invention belongs to the technical field of intelligent manufacturing, and in particular relates to a real-time database system architecture for an intelligent factory. Background technique [0002] In the White Paper on Capability Maturity of Intelligent Manufacturing issued by China Electronics Standardization Institute in 2016, the capability maturity model of intelligent manufacturing is divided into five levels: planning level, specification level, integration level, optimization level, and leading level. Definition at the second level of normative level: At this level, the enterprise has formed a picture of intelligent manufacturing, invests in equipment and systems that support core business, and through technological transformation, the equipment has the ability of data collection and communication to realize Automation and digital upgrades covering important links of core business. Through the development of standardized interfaces and da...

AI Technical Summary

Problems solved by technology

[0010] (1) In order to meet the needs of most users, commercial software usually provides standardized interfaces, but there are compatibility issues with the interfaces of non-standard equipment and systems

[0011] (2) Commercial software often contains a large number of bloated and unnecessary components or functions, which requires high hardware configuration and cannot make full use of hardware resources

[0012] (3) The adoption of commercial software may eventually lead to enterprises being overly dependent on suppliers and locked into a closed system

[0013] (4) Commercial software also has issues such as deployment, operation and maintenance, secondary development, and version upgrades, and also requires personnel training and personnel reserves for users

[0014] (5) Commercial software is often expensive, especially when the amount of data in the factory is not large, and the cost performance is low

[0015] In terms of conventional customized database systems, since there is no unified integration framework and standards to guide system design and development, developers often design and build systems based on the actual needs of user data business, which is limited by the experience and experience of developers. level, custom-developed systems often only solve partial problems, and lack systematic, security, and holistic considerations for data collection, processing, storage, and analysis

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