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Weinan Wang, Chenlong Duan, Songxue Zhang, Jiahao Pan, Xu Hou, Pengfei Mao, and Tatiana N Aleksandrova, Intelligent perception of kinematic information for flip-flow screening system based on non-invasive measurement, Int. J. Miner. Metall. Mater.,(2025). https://dx.doi.org/10.1007/s12613-025-3147-1
Weinan Wang, Chenlong Duan, Songxue Zhang, Jiahao Pan, Xu Hou, Pengfei Mao, and Tatiana N Aleksandrova, Intelligent perception of kinematic information for flip-flow screening system based on non-invasive measurement, Int. J. Miner. Metall. Mater.,(2025). https://dx.doi.org/10.1007/s12613-025-3147-1
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Intelligent perception of kinematic information for flip-flow screening system based on non-invasive measurement

Abstract: Flip-flow screens offer unique advantages for grading fine-grained materials. To address the problem of data inaccuracies monitoring caused by sensor quality vibration in the traditional contact measurement methods, this study constructed a non-invasive measurement system based on electrical and optical signals. A trajectory-tracking algorithm for the screen-body was developed to visually measure the kinematics of the screen-body. Employing the principle of laser-reflection distance measurements, optical measurements were performed on the kinematic information of the screen-plate. Based on WIFI and Bluetooth transmission of electrical signals, a tracer particle tracking technology was developed to electrically measure the kinematic information of mineral particles. Through the non-invasive measurement methods mentioned above, the intelligent fusion perception of kinematic information of the screening system's "screen-body, screen-plate, particle" has been achieved.

 

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