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

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  -