Acquisition and management system for multi-source heterogeneous big data of intelligent factory

Abstract

The invention provides an acquisition and management system for multi-source heterogeneous big data of an intelligent factory, and the system comprises a data acquisition module used for acquiring multi-source heterogeneous data of an enterprise, wherein the multi-source heterogeneous data comprises enterprise external data, enterprise internal production operation data and enterprise production activity data; a data storage and analysis module used for analyzing and processing the multi-source heterogeneous data and storing the multi-source heterogeneous data so as to provide feedback or service; and a data application module used for acquiring the data stored by the data storage and analysis module according to the requirements and application requirements of different businesses of theenterprise, and using the acquired data to support an application program managed by the enterprise. The system disclosed by the invention can be integrated with more data sources, bear greater fluctuation, data volume and flow, construct an effective data storage and circulation system, support APP development and application of different levels, and construct a high-efficiency data acquisition,storage and application system.

Description

technical field [0001] The present disclosure relates to the field of intelligent manufacturing, and in particular to a system for acquiring and managing multi-source heterogeneous big data of an intelligent factory. Background technique [0002] As the manufacturing industry deeply promotes intelligent manufacturing and actively promotes the construction of intelligent factories and industrial Internet platforms, a certain number of enterprises have made good progress in basic automation and intelligent equipment. As a new factor of production, data has become an important productive force for the transformation, upgrading and high-quality development of the manufacturing industry. "Data-driven" enterprises are an important development direction for future manufacturing enterprises. With the popularization of smart factories and industrial Internet, the process manufacturing industry has collected complex data information from the manufacturing workshop to the cloud platfor...

AI Technical Summary

Problems solved by technology

[0005] Facing big data changes such as the increasing number of workshop measurement points, increasing frequency of data collection, and the accumulation of a large amount of internal and external business data, enterprises are faced with data management and processing that lack high-performance horizontal expansion capabilities. Distributed architecture, cloud deployment, and cloud-native applications Insufficient and other issues

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