Design of the Control of Gravity Separator Dividing Plate Based on Machine Vision
Pages 487 - 491
Abstract
A machine vision-based automatic controlled dividing plates of a grain separator and its control system are designed. The dividing plates of the sieve are equipped with an adjustment device to adjust the location of the dividing plates. After the sieve is turned on, the machine vision acquires the location of the boundary lines of grain, rice and mixture and the location of the dividing plates on the sieve. Based on the difference between the location of the dividing plates and the dividing lines, two high precision screws are controlled to work to adjust the location of the dividing plates to match the dividing lines. The system can adjust the location of the dividing plates in real time or control the location of the dividing lines according to the pre-set time interval. Finally, the system has been tested and proven to be effective.
References
[1]
Wang Ruiyuan, Zhu Yongyi, Xie Jian, et al. Current status and outlook of China's rice processing industry[J]. Agricultural Machinery 2011(05):1--5.
[2]
Gu Yaochen. Separation technology and grain particle size analysis of grain roughnes[J]. Cereal and Feed Industry 1987(06):10--14+9.
[3]
Liu Silin, Zhu Wenyuan, Wang Dingjun, et al. Improvement of grain separation process[J]. Cereal and Feed Industry.1993, (3):21--23.
[4]
Cheng Guoqiang, Xie Aimin, Liu Dan. Research and Practice for Grain Rough Separation Technology [J]. Cereal and Feed Industry.2013, (4).
[5]
Yang Hai, Yang Ziqiang. Working principle of the gravity separator and analysis of the movement of the material on the separating plate [J]. Technology and Economics, 2015, (30).
[6]
Chen Jin, Gu Yan, Lian Yi, et al. Machine Vision-Based Approach for Online Identification of Rice Impurities and Broken Seeds [J]. Agricultural Engineering 2018, 34 (13):187--194.
[7]
Li Chao, Sun Jun. Algorithm for Detecting and Classifying Weld Defects Based on Machine Vision Methods [J]. Computer Engineering and Applications, 2018, 54 (6):264--270.
[8]
Vidya M. Ayer;Sheila Miguez and Brian H. Toby. Why scientists should learn to program in Python[J]. POWDER DIFFRACTION, 2014, Vol. (29):S48--S64.
[9]
Temirbekova, Zh. E.;Cherykbaeva, L. Sh.;Tulepberdynova. Color manipulation of images opencv in python[J]. Bulletin of Kazakh National Technical University, 2016, (2):482--485.
[10]
]Parthasarathy, M. K.;Lakshminarayanan, V. Color vision and color spaces(Article)[J]. Optics and Photonics News, 2019, Vol.30(1):44--51.
Index Terms
- Design of the Control of Gravity Separator Dividing Plate Based on Machine Vision
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Published In
December 2020
718 pages
ISBN:9781450389099
DOI:10.1145/3453187
Copyright © 2020 ACM.
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In-Cooperation
- Guilin: Guilin University of Technology, Guilin, China
- International Engineering and Technology Institute, Hong Kong: International Engineering and Technology Institute, Hong Kong
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 24 March 2021
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- Research-article
- Research
- Refereed limited
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EBIMCS 2020
EBIMCS 2020: 2020 3rd International Conference on E-Business, Information Management and Computer Science
December 5 - 6, 2020
Wuhan, China
Acceptance Rates
EBIMCS '20 Paper Acceptance Rate 112 of 566 submissions, 20%;
Overall Acceptance Rate 143 of 708 submissions, 20%
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