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Weinan Wang, Chenlong Duan, Songxue Zhang, Jiahao Pan, Xu Hou, Pengfei Mao, and Tatiana Aleksandrova, Intelligent perception of kinematic information for a 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 Aleksandrova, Intelligent perception of kinematic information for a 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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基于非侵入式测量的弛张筛分系统运动学信息智能感知研究

摘要: 筛分是矿物加工与冶金过程的关键环节,弛张筛分技术在处理细粒物料时具有独特优势。为了解决传统接触式测量方法中传感器自身参振,导致筛分系统测量精度不足、存在误差的问题,本文构建了基于光电信号的筛分过程非侵入式测量方法。开发了筛体视觉目标追踪算法,实现了筛体的运动学信息精准测量。基于激光位移测距原理,获得了筛面挠曲过程的运动特征;采用Wi-Fi与蓝牙进行信号传输,开发了弛张筛分过程模拟矿物颗粒示踪技术,实现了颗粒运动学信息的在线测量与空间运动轨迹的重构,颗粒依次与多段筛面进行交互冲击,颗粒沿重力方向的加速度幅值可达96.07 m·s²。基于弛张筛分过程的非侵入式测量方法,实现了筛体‒筛面‒颗粒的运动信息智能融合感知,为矿物加工和冶金行业智能化建设提供了理论和技术支撑。

 

Intelligent perception of kinematic information for a flip-flow screening system based on non-invasive measurement

Abstract: Flip-flow screens offer unique advantages in grading fine-grained materials. To address inaccuracies caused by sensor vibrations in traditional contact measurement methods, we 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. Employing the principle of laser reflection for distance measurement, optical techniques were performed to capture the kinematic information of the screen-plate. Additionally, by using Wi-Fi and Bluetooth transmission of electrical signals, tracer particle tracking technology was implemented to electrically measure the kinematic information of mineral particles. Consequently, intelligent fusion and perception of the kinematic information for the screen-body, screen-plate, and particles in the screening system have been achieved.

 

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