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.

Keywords

non-invasive measurement / intelligent perception / flip-flow screening system / kinematic information

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