Paper
15 October 2021 Visual detection system of powder mixing equipment based on PLC
Ce Fang, Qian Wang, Zizheng Weng
Author Affiliations +
Proceedings Volume 11933, 2021 International Conference on Neural Networks, Information and Communication Engineering; 119331C (2021) https://doi.org/10.1117/12.2615588
Event: 2021 International Conference on Neural Networks, Information and Communication Engineering, 2021, Qingdao, China
Abstract
The uniformity and moisture ratio of drug mixing are the most key attributes in the production process. The whole process detection of powder mixing equipment is particularly important. The visual detection system of powder mixing equipment based on PLC is studied. In the hardware design, the transmission efficiency of detection video is controlled by multi resistance acquisition circuit. In the software design, the visual model is built based on PLC, the powder mixing equipment is detected under the data exchange, and the visual detection system is designed. Experimental results: under the test environment of completing the detection of 3 million drugs every day, the average number of false kicks in this system is 20. The amount of false kicks has been effectively controlled and can meet the actual production needs.
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ce Fang, Qian Wang, and Zizheng Weng "Visual detection system of powder mixing equipment based on PLC", Proc. SPIE 11933, 2021 International Conference on Neural Networks, Information and Communication Engineering, 119331C (15 October 2021); https://doi.org/10.1117/12.2615588
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KEYWORDS
Visualization

Photonic integrated circuits

Data modeling

Tablets

Visual process modeling

Data processing

Instrument modeling

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