Portable Dynamic Weighing System of Yak based on BP Neural Network

DOI

10.2991/icmeit-17.2017.62How to use a DOI?

Keywords

BP Neural Network, dynamic weighing, portable type, Yak

Abstract

In order to measure the weight of yak more conveniently and effectively, based on BP neural network, this paper provides a portable dynamic weighing System for yak. The wireless transmission mode is adopted between the acquisition module and the instrument in this system and weighing platform is added a handle and a small roller table, which overcome the shortcomings of traditional weighing station that cannot move. In order to further improve the problem of traditional weighing station's low accuracy, using the smoothing mean filter to denoise the original data and according to the output of the shear beam type weighing sensor and the speed of yak, the BP neural model is established, thus the static weight of yak being obtained. By many experiments in matlab, the results show that this system achieves the measurement accuracy of dynamic weighing system and ensures that it can be achieved technically, which has good practical value.

Copyright

© 2017, 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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TY  - CONF
AU  - Cai Wen
AU  - Zhengyu Xie
AU  - Yansong Deng
PY  - 2017/05
DA  - 2017/05
TI  - Portable Dynamic Weighing System of Yak based on BP Neural Network
BT  - Proceedings of the 2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017)
PB  - Atlantis Press
SP  - 316
EP  - 319
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmeit-17.2017.62
DO  - 10.2991/icmeit-17.2017.62
ID  - Wen2017/05
ER  -