Study on intelligent start-stop control strategy of emulsion pumps under the mode of support automatic follow-up

Abstract

Aiming at the problem of slow follow-up speed of hydraulic support in the automatic production process of fully mechanized mining face, this paper analyses the relationship between the action of hydraulic support and the output flow of hydraulic supply system, and the matching relationship between the moving speed of hydraulic support and the speed of shearer, and studies the restriction relationship between the speed, position, direction of shearer and the action of hydraulic support and the outlet pressure of hydraulic supply system.A method of designing controller based on I/O data of controlled system is proposed.A CART random forest classification tree model is trained with actual production data to control the emulsion pump.The practical application results show that the method not only improves the flow on demand supply degree of the fluid supply system, but also has good universality and can be applied to different fully mechanized automatic mining faces.It provides support for improving intelligent degree and efficient production of the fully mechanized mining face.

Keywords

• emulsion pumps
• intelligent decision making
• random forest
• automatic follow-up
• on-demand liquid supply