Proceedings of the 2016 International Conference on Electrical, Mechanical and Industrial Engineering

2016 International Conference on Electrical, Mechanical and Industrial Engineering

📍Phuket, Thailand🗓️ 24-25 April 2016

Design of Intelligent Diagnosis System for Heavyweight Measurement System Based on IOT

Authors
Liang Zhang, Xiaofeng Liu, Pei Mu, Jong-won Kim
Corresponding Author
Liang Zhang
Available Online April 2016.
DOI
10.2991/icemie-16.2016.69How to use a DOI?
Keywords
load cell; diagnosis system; internet of things; zigbee
Abstract

Heavy-weight Measurement System in Heavy-load Truck-scale is proposed using fuzzy logic Combined the technology of Internet of things (IOT). This system makes an inference in Fuzzy Logic Controller for each load-cell state and manage information based on IOT system. We investigated validity of system on comparing with experimental data and decision value of Load-cell Trouble Diagnosis System by Fuzzy Logic.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 International Conference on Electrical, Mechanical and Industrial Engineering
Series
Advances in Engineering Research
Publication Date
April 2016
ISBN
978-94-6252-182-7
ISSN
2352-5401
DOI
10.2991/icemie-16.2016.69How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Liang Zhang
AU  - Xiaofeng Liu
AU  - Pei Mu
AU  - Jong-won Kim
PY  - 2016/04
DA  - 2016/04
TI  - Design of Intelligent Diagnosis System for Heavyweight Measurement System Based on IOT
BT  - Proceedings of the 2016 International Conference on Electrical, Mechanical and Industrial Engineering
PB  - Atlantis Press
SP  - 285
EP  - 288
SN  - 2352-5401
UR  - https://doi.org/10.2991/icemie-16.2016.69
DO  - 10.2991/icemie-16.2016.69
ID  - Zhang2016/04
ER  -