Industrial big data monitoring system based on edge computing

A monitoring system and edge computing technology, applied in the field of the Internet of Things, to achieve the effect of reducing network transmission costs, improving industrial production efficiency, and reducing computing pressure
CN110336703AInactive Publication Date: 2019-10-15HOHAI UNIV CHANGZHOU
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
HOHAI UNIV CHANGZHOU
Publication Date
2019-10-15
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses an industrial big data monitoring system based on edge computing. The system comprises a data source layer, an edge layer, a platform layer and an application layer. The data source layer collects heterogeneous data information through various Internet of Things technologies and transmits the data to the edge server through a short-distance communication technology. The edge layer specifically analyzes and processes the real-time data acquired by the data source layer on the edge side, extracts high-value data and transmits the high-value data to the platform layer. theplatform layer mainly utilizes a cloud computing platform to realize the functions of industrial data analysis, data storage and the like on the data transmitted by the edge layer. The application layer is used for providing related software services based on the platform layer and displaying the information to a user through user terminal equipment. According to the invention, the problems of large platform load, low data processing efficiency, high network time delay, low security and the like of a traditional data monitoring system based on a cloud computing platform in an industrial dataviolence environment are mainly solved.
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Description

technical field

[0001] The invention relates to the technical field of the Internet of Things, in particular to an industrial big data monitoring system based on edge computing. Background technique

[0002] With the deep integration of information technology and industrialization, the data generated by mechanical equipment and information systems are becoming increasingly rich. Industrial big data has the characteristics of large volume, multiple types, low value density and fast processing speed. Real-time and effective monitoring and diagnosis of data can realize predictive maintenance of equipment and discover decision-making problems in production, management and scheduling processes. However, the traditional data monitoring system cannot satisfy the analysis, processing and storage of industrial big data. Therefore, the intelligent application of industrial big data has become the core link for enterprises to reduce production costs and improve market competitiveness ...

Claims

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