The invention introduces an automatic control system for drilling vibrating screens, addressing prior art limitations. It utilizes Raspberry Pi as the hardware foundation and incorporates OpenCV for image processing. By analyzing the position characteristics of the liquid phase termination line on the screen surface, the system determines the solid-liquid separation state. It categorizes the results into three: less mud, normal mud, and mud leakage. Using the recognition result as a control signal, the system drives a stepper motor to adjust the inclination angle of the screen surface, ensuring the vibrating screen remains in the optimal solid-liquid separation state at all times.
Automatic control system of drilling vibrating screen based on raspberry pie and OpenCV
