Research on Compressed Sensing Data Acquisition Method in Cold Chain Logistics

DOI

10.2991/icmcs-18.2018.13How to use a DOI?

Keywords

Bi-orthogonal avelet transforms basis; Cold chain logistics; Data acquisition; OMP

Abstract

The article designs and implements the hardware and software of cold chain logistics quality perception based on Internet of things,and establish a sparse compression sampling model based on biorthogonal wavelet transform base, wireless real-time sparse compression and transmission model and the reconstruction model based on orthogonal matching pursuit (OMP), and then form a compressed sensing data acquisition method for constructing the cold chain logistics quality perception data. Finally, the authors verified the data volume in the data transmission by using the cold chain logistics supply chain of fresh grapes, which can effectively reduce the wireless communication load,and realize the efficient collection and transmission of food cold chain logistics information. The algorithm can improve the reliability and accuracy of information, and form the compressed sensing data set of cold chain logistics quality perception.

Copyright

© 2018, 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  - Rui Luo
AU  - Zihong Zhang
AU  - Wei Xiong
PY  - 2018/10
DA  - 2018/10
TI  - Research on Compressed Sensing Data Acquisition Method in Cold Chain Logistics
BT  - Proceedings of the 8th International Conference on Management and Computer Science (ICMCS 2018)
PB  - Atlantis Press
SP  - 67
EP  - 71
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmcs-18.2018.13
DO  - 10.2991/icmcs-18.2018.13
ID  - Luo2018/10
ER  -