Improvement Research PLC Automatic Control System Based on Small and Medium Logistics Classification

Zhengzheng Cong; Cong Li; Yifeng Shao; Zhize Zhou; Chunmeng Liang

doi:doi:10.11648/j.acis.20150306.15

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Improvement Research PLC Automatic Control System Based on Small and Medium Logistics Classification

Zhengzheng Cong, Cong Li, Yifeng Shao, Zhize Zhou, Chunmeng Liang

Published in Automation, Control and Intelligent Systems (Volume 3, Issue 6)

Received: 17 November 2015 Accepted: 6 December 2015 Published: 22 December 2015

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Abstract

PLC automatic control classification system is based on commitment to increase express courier company and distribution center for the delivery of processing power, making it more efficient for the shipment have free processing capabilities. Based on the scientific method, prior to the courier company handling capacity estimates, and the company in shipment processing equipment capital investment to enhance the product in the industry's competitiveness. It is used of the existing two-dimensional code scanning recognition technology. Through the automatic identification of microcontroller programming combined ratio for the sensor to achieve classification. It works to reduce logistics costs in the classification of goods while improving the efficiency and accuracy of their goods classification.

Published in	Automation, Control and Intelligent Systems (Volume 3, Issue 6)
DOI	10.11648/j.acis.20150306.15
Page(s)	124-127
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2015. Published by Science Publishing Group

Keywords

Intelligent Classification, High Precision, Continuous Work

References

[1]	CHENG Lei 1, XU Yu-xian 2, JIN Wei-xing 2 (1.Suzhou Institute of Industrial Technology, Suzhou Jiangsu 215104, China; 2. Suzhou Xinya Electronic Communication Co., Ltd., Suzhou Jiangsu 215132, China); Design of Connector Automatic Assembly Machine Based on the PLC [J]; Equipment Manufacturing Technology; 2012-07.
[2]	WU Yi-zhong~1 GONG Yun-bo~1 ZHANG Guo-quan~(2, 3) (1.National CAD Support Software Engineering Research Center, Huazhong University of Science and Technology, Wuhan 430074, China; 2.Wuhan Polytechnic University, Wuhan 430023, China; 3. Wuhan Rentian Packaging Technology Co., Ltd., Wuhan 430205, China); Research on Key Technologies of Automatic Production Line of Industrial Explosive Secondary Packaging [A]; [C]; 2007.
[3]	Gao De, Xie Hao (Engineering college, Jiamusi university, Jiamusi 154007, China); Develop and Research of Packing machinery MCAI [J]; PACKAGING ENGINEERING; 1999-04.
[4]	Zhou Gao-fei; Research and Development of JQ 700 Type Box-bridge Erecting Machine [J]; Chongqing Architecture; 2008-05.
[5]	L. Wang, Adaptive Fuzzy Systems and Control: Design and Stability Analysis, Prentice-Hall, Englewood Cliff, NJ, USA, 1994.
[6]	R. M. Sanner and J.-J. E. Slotine, “Gaussian networks for direct adaptive control,” IEEE Transactions on Neural Networks, vol. 3, no. 6, pp. 837–863, 1992.
[7]	J. T. Spooner and K. M. Passino, “Stable adaptive control using fuzzy systems and neural networks,” IEEE Transactions on Fuzzy Systems, vol. 4, no. 3, pp. 339–359, 1996.
[8]	M. Liu, “Decentralized control of robot manipulators: nonlinear and adaptive approaches,” IEEE Transactions on Automatic Control, vol. 44, no. 2, pp. 357–363, 1999.
[9]	Y.-G. Leu, T.-T. Lee, and W.-Y. Wang, “Observer-based adaptive fuzzy-neural control for unknown nonlinear dynamical systems,” IEEE Transactions on Systems, Man, and Cybernetics, vol. 29, no. 5, pp. 583–591, 1999.
[10]	J. T. Wen and D. S. Bayard, “New class of control laws for robotic manipulators—part 1: non-adaptive case,” International Journal of Control, vol. 47, no. 5, pp. 1361–1385, 1988.

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APA Style

Zhengzheng Cong, Cong Li, Yifeng Shao, Zhize Zhou, Chunmeng Liang. (2015). Improvement Research PLC Automatic Control System Based on Small and Medium Logistics Classification. Automation, Control and Intelligent Systems, 3(6), 124-127. https://doi.org/10.11648/j.acis.20150306.15

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ACS Style

Zhengzheng Cong; Cong Li; Yifeng Shao; Zhize Zhou; Chunmeng Liang. Improvement Research PLC Automatic Control System Based on Small and Medium Logistics Classification. Autom. Control Intell. Syst. 2015, 3(6), 124-127. doi: 10.11648/j.acis.20150306.15

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AMA Style

Zhengzheng Cong, Cong Li, Yifeng Shao, Zhize Zhou, Chunmeng Liang. Improvement Research PLC Automatic Control System Based on Small and Medium Logistics Classification. Autom Control Intell Syst. 2015;3(6):124-127. doi: 10.11648/j.acis.20150306.15

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@article{10.11648/j.acis.20150306.15,
  author = {Zhengzheng Cong and Cong Li and Yifeng Shao and Zhize Zhou and Chunmeng Liang},
  title = {Improvement Research PLC Automatic Control System Based on Small and Medium Logistics Classification},
  journal = {Automation, Control and Intelligent Systems},
  volume = {3},
  number = {6},
  pages = {124-127},
  doi = {10.11648/j.acis.20150306.15},
  url = {https://doi.org/10.11648/j.acis.20150306.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.acis.20150306.15},
  abstract = {PLC automatic control classification system is based on commitment to increase express courier company and distribution center for the delivery of processing power, making it more efficient for the shipment have free processing capabilities. Based on the scientific method, prior to the courier company handling capacity estimates, and the company in shipment processing equipment capital investment to enhance the product in the industry's competitiveness. It is used of the existing two-dimensional code scanning recognition technology. Through the automatic identification of microcontroller programming combined ratio for the sensor to achieve classification. It works to reduce logistics costs in the classification of goods while improving the efficiency and accuracy of their goods classification.},
 year = {2015}
}

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TY  - JOUR
T1  - Improvement Research PLC Automatic Control System Based on Small and Medium Logistics Classification
AU  - Zhengzheng Cong
AU  - Cong Li
AU  - Yifeng Shao
AU  - Zhize Zhou
AU  - Chunmeng Liang
Y1  - 2015/12/22
PY  - 2015
N1  - https://doi.org/10.11648/j.acis.20150306.15
DO  - 10.11648/j.acis.20150306.15
T2  - Automation, Control and Intelligent Systems
JF  - Automation, Control and Intelligent Systems
JO  - Automation, Control and Intelligent Systems
SP  - 124
EP  - 127
PB  - Science Publishing Group
SN  - 2328-5591
UR  - https://doi.org/10.11648/j.acis.20150306.15
AB  - PLC automatic control classification system is based on commitment to increase express courier company and distribution center for the delivery of processing power, making it more efficient for the shipment have free processing capabilities. Based on the scientific method, prior to the courier company handling capacity estimates, and the company in shipment processing equipment capital investment to enhance the product in the industry's competitiveness. It is used of the existing two-dimensional code scanning recognition technology. Through the automatic identification of microcontroller programming combined ratio for the sensor to achieve classification. It works to reduce logistics costs in the classification of goods while improving the efficiency and accuracy of their goods classification.
VL  - 3
IS  - 6
ER  -

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Author Information

Zhengzheng Cong

Department of Mechanical Engineering, Guilin University of Aerospace Technology, Guilin, China
Cong Li

Department of Mechanical Engineering, Guilin University of Aerospace Technology, Guilin, China
Yifeng Shao

Department of Mechanical Engineering, Guilin University of Aerospace Technology, Guilin, China
Zhize Zhou

Department of Mechanical Engineering, Guilin University of Aerospace Technology, Guilin, China
Chunmeng Liang

Department of Mechanical Engineering, Guilin University of Aerospace Technology, Guilin, China

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Plain Text BibTeX RIS

APA Style

Zhengzheng Cong, Cong Li, Yifeng Shao, Zhize Zhou, Chunmeng Liang. (2015). Improvement Research PLC Automatic Control System Based on Small and Medium Logistics Classification. Automation, Control and Intelligent Systems, 3(6), 124-127. https://doi.org/10.11648/j.acis.20150306.15

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ACS Style

Zhengzheng Cong; Cong Li; Yifeng Shao; Zhize Zhou; Chunmeng Liang. Improvement Research PLC Automatic Control System Based on Small and Medium Logistics Classification. Autom. Control Intell. Syst. 2015, 3(6), 124-127. doi: 10.11648/j.acis.20150306.15

Copy | Download

AMA Style

Zhengzheng Cong, Cong Li, Yifeng Shao, Zhize Zhou, Chunmeng Liang. Improvement Research PLC Automatic Control System Based on Small and Medium Logistics Classification. Autom Control Intell Syst. 2015;3(6):124-127. doi: 10.11648/j.acis.20150306.15

Copy | Download

@article{10.11648/j.acis.20150306.15,
  author = {Zhengzheng Cong and Cong Li and Yifeng Shao and Zhize Zhou and Chunmeng Liang},
  title = {Improvement Research PLC Automatic Control System Based on Small and Medium Logistics Classification},
  journal = {Automation, Control and Intelligent Systems},
  volume = {3},
  number = {6},
  pages = {124-127},
  doi = {10.11648/j.acis.20150306.15},
  url = {https://doi.org/10.11648/j.acis.20150306.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.acis.20150306.15},
  abstract = {PLC automatic control classification system is based on commitment to increase express courier company and distribution center for the delivery of processing power, making it more efficient for the shipment have free processing capabilities. Based on the scientific method, prior to the courier company handling capacity estimates, and the company in shipment processing equipment capital investment to enhance the product in the industry's competitiveness. It is used of the existing two-dimensional code scanning recognition technology. Through the automatic identification of microcontroller programming combined ratio for the sensor to achieve classification. It works to reduce logistics costs in the classification of goods while improving the efficiency and accuracy of their goods classification.},
 year = {2015}
}

Copy | Download

TY  - JOUR
T1  - Improvement Research PLC Automatic Control System Based on Small and Medium Logistics Classification
AU  - Zhengzheng Cong
AU  - Cong Li
AU  - Yifeng Shao
AU  - Zhize Zhou
AU  - Chunmeng Liang
Y1  - 2015/12/22
PY  - 2015
N1  - https://doi.org/10.11648/j.acis.20150306.15
DO  - 10.11648/j.acis.20150306.15
T2  - Automation, Control and Intelligent Systems
JF  - Automation, Control and Intelligent Systems
JO  - Automation, Control and Intelligent Systems
SP  - 124
EP  - 127
PB  - Science Publishing Group
SN  - 2328-5591
UR  - https://doi.org/10.11648/j.acis.20150306.15
AB  - PLC automatic control classification system is based on commitment to increase express courier company and distribution center for the delivery of processing power, making it more efficient for the shipment have free processing capabilities. Based on the scientific method, prior to the courier company handling capacity estimates, and the company in shipment processing equipment capital investment to enhance the product in the industry's competitiveness. It is used of the existing two-dimensional code scanning recognition technology. Through the automatic identification of microcontroller programming combined ratio for the sensor to achieve classification. It works to reduce logistics costs in the classification of goods while improving the efficiency and accuracy of their goods classification.
VL  - 3
IS  - 6
ER  -

Copy | Download