Proceedings of the 2017 International Conference on Electronic Industry and Automation (EIA 2017)

Design and Implementation of Intelligent Self Extracting Cabinet Control System

Authors
Xin LI, Xiangfei MENG, Qiming GU
Corresponding Author
Xin LI
Available Online July 2017.
DOI
10.2991/eia-17.2017.55How to use a DOI?
Keywords
STM32F103; touch screen; barcode scanning; RS485
Abstract

This paper describes the design and implementation of the intelligent self extracting cabinet control system, Master controller provides two ways that password pickup and pick up by card and provide humane voice prompts; provides bar code scanning mechanism-based inventory; support for intelligent cabinet system parameter setting. Master controller based on STM32F103, use the touch screen achieve human-computer interaction, Connection with a remote server via a network communication module and save critical data to FLASH chip, use RS485 module controller communicates with the child to achieve control of each cargo tank.

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/).

Download article (PDF)

Volume Title
Proceedings of the 2017 International Conference on Electronic Industry and Automation (EIA 2017)
Series
Advances in Intelligent Systems Research
Publication Date
July 2017
ISBN
978-94-6252-373-9
ISSN
1951-6851
DOI
10.2991/eia-17.2017.55How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Xin LI
AU  - Xiangfei MENG
AU  - Qiming GU
PY  - 2017/07
DA  - 2017/07
TI  - Design and Implementation of Intelligent Self Extracting Cabinet Control System
BT  - Proceedings of the 2017 International Conference on Electronic Industry and Automation (EIA 2017)
PB  - Atlantis Press
SP  - 255
EP  - 259
SN  - 1951-6851
UR  - https://doi.org/10.2991/eia-17.2017.55
DO  - 10.2991/eia-17.2017.55
ID  - LI2017/07
ER  -