research-article

The research about the framework and key technology for edge intelligent instrument

Authors:

Yanling Zhao,

Linkun Wang,

Dantao HanAuthors Info & Claims

CONF-CDS 2021: The 2nd International Conference on Computing and Data Science

Article No.: 74, Pages 1 - 5

https://doi.org/10.1145/3448734.3450804

Published: 17 May 2021 Publication History

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Abstract

With the problems about the traditional instrument and the needs of generalized interconnected smart factory, collaborative optimization of production, intelligent data processing and analysis, this paper proposes the application system architecture and device architecture of edge intelligent instrument. The key techniques of autonomous intelligence and reconfigurability of edge intelligent instrument are studied, it can provide the reference model and support the development of edge intelligent instrument and meet the changes in the production patterns of personalized customization and flexible production in the smart factory.

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The research about the framework and key technology for edge intelligent instrument

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CONF-CDS 2021: The 2nd International Conference on Computing and Data Science

January 2021

1142 pages

ISBN:9781450389570

DOI:10.1145/3448734

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 May 2021

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CONF-CDS 2021

CONF-CDS 2021: The 2nd International Conference on Computing and Data Science

January 28 - 30, 2021

CA, Stanford, USA

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Abstract

References

Index Terms

Recommendations

Study of Intelligent Instrument Data Acquisition and Transmission on Wireless Network

Edge computing and machinery automation application for intelligent manufacturing equipment

Edge AI: A Taxonomy, Systematic Review and Future Directions

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