Research on Coal Mining Material Active Perception System Based on IOT and Coal Resources

Jing Zhao Li; Hui Mei Deng

doi:10.4028/www.scientific.net/AMM.252.207

Paper Titles

Study on the Equivalent Circuit of Quartz Crystal Microbalance (QCM) with Material Properties
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Comprehensive Evaluation of Wall Material Optimization Based on the Theory of Gray System and Wall Pressure
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Study on Tool Wear of High Volume Fraction SiCp/Al Composites with Ultrasonic Vibration High Speed Milling
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The Influence of O₂/Ar on the Dielectric Properties of Bismuth Zinc Niobate Titanium Thin Films Prepared by RF Magnetron Sputtering
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Research on Coal Mining Material Active Perception System Based on IOT and Coal Resources
p.207

Enhanced the Dielectric and Tunable Properties of BZNT Thin Films through Adjusting Annealing Process
p.211

Photoelectrochemical Studies of Dye-Sensitized TiO₂ Nanoporous Electrodes
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Investigation on some Properties of Renshape^TMSL7545 Type Photosensitive Resin and its Application for Stereolithography Material
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Preparation of RPSL-02 Type Photosensitive Resin for Stereolithography Material and Investigation on its some Properties
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 252Research on Coal Mining Material Active Perception...

Research on Coal Mining Material Active Perception System Based on IOT and Coal Resources

Abstract:

The framework of initiative coal mining system based on the perception layer of Internet of things (IOT), took the way of combination initiative acquisition, with timing and real time to implement “people, ring, and material” perception of the underground of coal mining is proposed. On this basis, coal mining material active perception system is designed. This system applies computer and IOT perception instead artificial operation in the current coal manufacturing equipment and material field. It is analyzed that design concepts of coal mining material active perception system, function and characteristics, system structure, information collecting, data synchronization and EPC coding of coal manufacturing equipment and material.

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Periodical:

Applied Mechanics and Materials (Volume 252)

Pages:

207-210

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.252.207

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Online since:

December 2012

Authors:

Jing Zhao Li, Hui Mei Deng

Keywords:

Active Perception, Coal Mining, Internet of Things (IOT), Material

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References

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