Group enterprise data space system

Abstract

The invention discloses a group enterprise data space system, which relates to the technical field of industrial internet, and the system architecture sequentially comprises a data acquisition and exchange layer, a data storage and management layer, a data calculation layer, a data modeling layer and a data development support layer from the bottom end to the top end, the data collection and exchange layer gathers data and then transmits the data to the data storage and management layer above, the data storage and management layer transmits the data to the data calculation layer above, the data calculation layer transmits the calculated data to the data modeling layer above, the data modeling layer packages the data after modeling processing, and the data modeling layer carries out modeling processing. And the data is transmitted to the data development support layer at the topmost end of the system architecture. By providing integrated service of data acquisition and storage, data calculation modeling and data service, the data management capability of a group enterprise is improved, the enterprise is supported to mine data value to the maximum extent, complete data service is provided, and the requirements of users on data control, application, expansion and the like are met.

Description

technical field [0001] The invention relates to the technical field of industrial Internet, in particular to a group enterprise data space system. Background technique [0002] The operation and management of a group enterprise involves many manufacturing units, and there are a large number of different types of data in product design, production, operation and maintenance, and enterprise operation. These data are difficult to synchronize and share, and the management and control are difficult, requiring a new type of data collection and management. And analysis system, break the enterprise information island, realize the whole process data aggregation, and provide convenient data update and access services to support the increasingly complex and intelligent business needs of enterprises. [0003] Traditional data warehouses can solve some of the problems of data collection and storage, but they still face pain points such as data storage, inability to detect, and difficulty...

AI Technical Summary

Problems solved by technology

[0004] 1. In the existing technology, most of the data storage management systems are dedicated databases or data warehouses built for specific enterprise applications, which mainly provide data storage and management services and data display for certain specific information systems. Data is difficult. At the same time, with the rapid growth of data volume, there are problems such as slowing down of data query and reading speed and limited storage capacity.

In addition, with the continuous development of the Internet + industry, group companies have a prominent demand for the real-time operation of the entire organization and the overall analysis of various businesses, and complex data analysis is required, but data extraction and analysis calculations also need to customize other software tools. Realization is not conducive to long-term data management and application, but also increases enterprise expenditure

[0005] 2. In the existing technology, the data warehouse mainly has inconsistencies in data collection and process, and it is difficult to collaborate across enterprise departments. There are data islands and repeated calculations in the separate development of databases. Data expansion leads to tight data computing resources, which makes it difficult to flexibly expand, and data service quality cannot be guaranteed. , the contradiction between data security and data sharing is irreconcilable, and the single form of data application is difficult to support business needs.

[0006] In order to solve various problems existing in the existing technology, aiming at the limitations and limitations of the existing data storage management system, we propose a group enterprise data space system

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