Wireless condition monitoring and control of air compressor fleet system based on the internet of things

Ye Ming Zhang; Zhi Guo Li; Mao Lin Cai

doi:10.4028/www.scientific.net/AMR.1027.294

Wireless condition monitoring and control of air compressor fleet system based on the internet of things

Ye Ming Zhang^*
, Zhi Guo Li
, Mao Lin Cai

^*Corresponding author for this work

School of Automation Science and Electrical Engineering

Henan Polytechnic University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The whole optimization control and health maintenance of air compressor fleet system in coal mine is the current key problems urgently to be solved in pneumatic system application. The test system of wireless condition monitoring and control for air Compressor fleet is setup and the hardware structure of test system is put forward. Overall energy efficiency and piecewise energy efficiency concept of air compressor fleet system is proposed in this paper. The overall efficiency and the energy-saving potential of compressed gas supplying system are quantified by the method of Capacity on Demand. Network optimization control algorithm for the air compressor fleet system is proposed for the better management of the compressed air system.

Original language	English
Title of host publication	Ultra-Precision Machining Process and Surface Finishing Technology
Editors	Bo Zhao, Guofu Gao, Hang Gao, Bo Zhao, Guofu Gao, Yanyan Yan, Hang Gao, Yanyan Yan
Publisher	Trans Tech Publications Ltd
Pages	294-297
Number of pages	4
ISBN (Electronic)	9783038352495, 9783038352495
DOIs	https://doi.org/10.4028/www.scientific.net/AMR.1027.294
State	Published - 2014
Event	10th CHINA-JAPAN International Conference on Ultra-Precision Machining Process, 10th CJUMP and 2014 International Conference on Surface Finishing Technology, ICSFT 2014 - Jiaozuo, China Duration: 17 Oct 2014 → 19 Oct 2014

Publication series

Name	Advanced Materials Research
Volume	1027
ISSN (Print)	1022-6680
ISSN (Electronic)	1662-8985

Conference

Conference	10th CHINA-JAPAN International Conference on Ultra-Precision Machining Process, 10th CJUMP and 2014 International Conference on Surface Finishing Technology, ICSFT 2014
Country/Territory	China
City	Jiaozuo
Period	17/10/14 → 19/10/14

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Air compressor fleet system
Control
Internet of things
Wireless condition monitoring

Access to Document

10.4028/www.scientific.net/AMR.1027.294

Cite this

Zhang, Y. M., Li, Z. G., & Cai, M. L. (2014). Wireless condition monitoring and control of air compressor fleet system based on the internet of things. In B. Zhao, G. Gao, H. Gao, B. Zhao, G. Gao, Y. Yan, H. Gao, & Y. Yan (Eds.), Ultra-Precision Machining Process and Surface Finishing Technology (pp. 294-297). (Advanced Materials Research; Vol. 1027). Trans Tech Publications Ltd. https://doi.org/10.4028/www.scientific.net/AMR.1027.294

Zhang, Ye Ming ; Li, Zhi Guo ; Cai, Mao Lin. / Wireless condition monitoring and control of air compressor fleet system based on the internet of things. Ultra-Precision Machining Process and Surface Finishing Technology. editor / Bo Zhao ; Guofu Gao ; Hang Gao ; Bo Zhao ; Guofu Gao ; Yanyan Yan ; Hang Gao ; Yanyan Yan. Trans Tech Publications Ltd, 2014. pp. 294-297 (Advanced Materials Research).

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title = "Wireless condition monitoring and control of air compressor fleet system based on the internet of things",

abstract = "The whole optimization control and health maintenance of air compressor fleet system in coal mine is the current key problems urgently to be solved in pneumatic system application. The test system of wireless condition monitoring and control for air Compressor fleet is setup and the hardware structure of test system is put forward. Overall energy efficiency and piecewise energy efficiency concept of air compressor fleet system is proposed in this paper. The overall efficiency and the energy-saving potential of compressed gas supplying system are quantified by the method of Capacity on Demand. Network optimization control algorithm for the air compressor fleet system is proposed for the better management of the compressed air system.",

keywords = "Air compressor fleet system, Control, Internet of things, Wireless condition monitoring",

author = "Zhang, \{Ye Ming\} and Li, \{Zhi Guo\} and Cai, \{Mao Lin\}",

note = "Publisher Copyright: {\textcopyright} (2014) Trans Tech Publications, Switzerland.; 10th CHINA-JAPAN International Conference on Ultra-Precision Machining Process, 10th CJUMP and 2014 International Conference on Surface Finishing Technology, ICSFT 2014 ; Conference date: 17-10-2014 Through 19-10-2014",

year = "2014",

doi = "10.4028/www.scientific.net/AMR.1027.294",

language = "英语",

series = "Advanced Materials Research",

publisher = "Trans Tech Publications Ltd",

pages = "294--297",

editor = "Bo Zhao and Guofu Gao and Hang Gao and Bo Zhao and Guofu Gao and Yanyan Yan and Hang Gao and Yanyan Yan",

booktitle = "Ultra-Precision Machining Process and Surface Finishing Technology",

address = "瑞士",

}

Zhang, YM, Li, ZG & Cai, ML 2014, Wireless condition monitoring and control of air compressor fleet system based on the internet of things. in B Zhao, G Gao, H Gao, B Zhao, G Gao, Y Yan, H Gao & Y Yan (eds), Ultra-Precision Machining Process and Surface Finishing Technology. Advanced Materials Research, vol. 1027, Trans Tech Publications Ltd, pp. 294-297, 10th CHINA-JAPAN International Conference on Ultra-Precision Machining Process, 10th CJUMP and 2014 International Conference on Surface Finishing Technology, ICSFT 2014, Jiaozuo, China, 17/10/14. https://doi.org/10.4028/www.scientific.net/AMR.1027.294

Wireless condition monitoring and control of air compressor fleet system based on the internet of things. / Zhang, Ye Ming; Li, Zhi Guo; Cai, Mao Lin.
Ultra-Precision Machining Process and Surface Finishing Technology. ed. / Bo Zhao; Guofu Gao; Hang Gao; Bo Zhao; Guofu Gao; Yanyan Yan; Hang Gao; Yanyan Yan. Trans Tech Publications Ltd, 2014. p. 294-297 (Advanced Materials Research; Vol. 1027).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Wireless condition monitoring and control of air compressor fleet system based on the internet of things

AU - Zhang, Ye Ming

AU - Li, Zhi Guo

AU - Cai, Mao Lin

N1 - Publisher Copyright: © (2014) Trans Tech Publications, Switzerland.

PY - 2014

Y1 - 2014

N2 - The whole optimization control and health maintenance of air compressor fleet system in coal mine is the current key problems urgently to be solved in pneumatic system application. The test system of wireless condition monitoring and control for air Compressor fleet is setup and the hardware structure of test system is put forward. Overall energy efficiency and piecewise energy efficiency concept of air compressor fleet system is proposed in this paper. The overall efficiency and the energy-saving potential of compressed gas supplying system are quantified by the method of Capacity on Demand. Network optimization control algorithm for the air compressor fleet system is proposed for the better management of the compressed air system.

AB - The whole optimization control and health maintenance of air compressor fleet system in coal mine is the current key problems urgently to be solved in pneumatic system application. The test system of wireless condition monitoring and control for air Compressor fleet is setup and the hardware structure of test system is put forward. Overall energy efficiency and piecewise energy efficiency concept of air compressor fleet system is proposed in this paper. The overall efficiency and the energy-saving potential of compressed gas supplying system are quantified by the method of Capacity on Demand. Network optimization control algorithm for the air compressor fleet system is proposed for the better management of the compressed air system.

KW - Air compressor fleet system

KW - Control

KW - Internet of things

KW - Wireless condition monitoring

UR - https://www.scopus.com/pages/publications/84921881637

U2 - 10.4028/www.scientific.net/AMR.1027.294

DO - 10.4028/www.scientific.net/AMR.1027.294

M3 - 会议稿件

AN - SCOPUS:84921881637

T3 - Advanced Materials Research

SP - 294

EP - 297

BT - Ultra-Precision Machining Process and Surface Finishing Technology

A2 - Zhao, Bo

A2 - Gao, Guofu

A2 - Gao, Hang

A2 - Zhao, Bo

A2 - Gao, Guofu

A2 - Yan, Yanyan

A2 - Gao, Hang

A2 - Yan, Yanyan

PB - Trans Tech Publications Ltd

T2 - 10th CHINA-JAPAN International Conference on Ultra-Precision Machining Process, 10th CJUMP and 2014 International Conference on Surface Finishing Technology, ICSFT 2014

Y2 - 17 October 2014 through 19 October 2014

ER -

Zhang YM, Li ZG, Cai ML. Wireless condition monitoring and control of air compressor fleet system based on the internet of things. In Zhao B, Gao G, Gao H, Zhao B, Gao G, Yan Y, Gao H, Yan Y, editors, Ultra-Precision Machining Process and Surface Finishing Technology. Trans Tech Publications Ltd. 2014. p. 294-297. (Advanced Materials Research). doi: 10.4028/www.scientific.net/AMR.1027.294

Wireless condition monitoring and control of air compressor fleet system based on the internet of things

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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