Research on Industrial Field Diagnostics and Management System Based on the IOT

Jing Zhao Li; Jian Cheng; Xing Jin

doi:10.4028/www.scientific.net/AMM.63-64.765

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Optimization and Design of Coal Mine Safety Supervision Information Flow Based on Internet/Intranet
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Study on Line Balancing for a Type of Lamp Assembling
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Evaluation of Safety Risk in ATM Based on the Gray Relational Analysis
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 63-64Research on Industrial Field Diagnostics and...

Research on Industrial Field Diagnostics and Management System Based on the IOT

Abstract:

Industrial field diagnosis and management system based on the Internet of things which has advanced technologies and perfect functions was designed, through the analysis on industrial field diagnosis technology, information fusion methods and the framework of industrial the Internet of things,. Field fault detection, fault diagnosis and fault isolation and the structures of the sensing layer, the middleware layer and the application layer of the Internet of things of industrial as well as information fusion algorithms of data level, feature level and decision level were made to correspond to each other and site diagnosis knowledge, the Internet of things technology and information fusion algorithm were used to achieve remote monitoring center or handheld terminal on site for industrial site diagnosis and management functions. A good solution was provided for equipment manufacturers and industrial applying the Internet of things to do site diagnosis and management.

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Periodical:

Applied Mechanics and Materials (Volumes 63-64)

Pages:

765-769

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.63-64.765

Citation:

Cite this paper

Online since:

June 2011

Authors:

Jing Zhao Li, Jian Cheng, Xing Jin

Keywords:

Control, Field Diagnosis, Information Fusion, Internet of Things (IOT), Management

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References

[1] Jingzhao Li, Yu Zhang, Dongsheng Zhou. Design and Application of a New IOT Reader. THE 2ND International Conference on Information Engineering and Computer Science (ICISE2010), p.1944-(1947).

DOI: 10.1109/icise.2010.5689011

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DOI: 10.1109/fitme.2010.5654924

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