Testing Method for Intelligent Loading of Mining Emulsion Pump Based on Digital Relief Valve and BP Neural Network Control Algorithm

Abstract

The mining emulsion pump is mainly used on a fully mechanized coal mining face, but it is rarely used on other occasions, so research on its loading test method is relatively limited. This paper proposes the application of a digital relief valve to the emulsion pump loading test. In addition, the small number of plungers in the emulsion pump will lead to large flow pulsation and pressure pulsation, and the nominal flow of different types of emulsion pumps varies greatly. These factors lead to the deficiency of a traditional PID control algorithm in control accuracy and efficiency. In order to improve control accuracy and efficiency, firstly, the influence of the flow rate of the tested pump and extension of the linear stepping motor shaft on the working pressure is studied. A backpropagation (BP) artificial neural network (ANN) model is used to fit a functional relationship between the three parameters. The flow rate of the tested pump and target pressure were provided as inputs to predict the extension of the linear stepping motor shaft, thereby realizing the remote intelligent control of the system pressure. Next, a BP ANN model is constructed, and its reliability is verified; the BP neural network algorithm and proportional-integral-derivative (PID) algorithm are compared through simulation. The simulation results show that the BP neural network algorithm has high control accuracy and small overshoot. Finally, two pumps with different flows are tested in a self-developed digital relief valve and test platform. The test results show that the proposed loading test method is intelligent and efficient, and it has high accuracy.

Energy-Saving Testing System for a Coal Mine Emulsion Pump Using the Pressure Differential Flow Characteristics of Digital Relief Valves

“…With the continuous development of coal mining technology, in order to improve the rate of mining, the fully mechanized coal mining face is constantly developing in the direction of larger mining heights [5,6], which leads to the technical parameters of the emulsion pump also constantly developing in the direction of high pressure and large flow. There is a previous study indicating that the largest emulsion pump sold in the Chinese market has a nominal pressure and flow rate of 45 Mpa and 1250 L/min [7], with an overall power of nearly 1000 KW, while the nominal pressure and flow rate of mainstream products have also exceeded 31.5 MPa and 400 L/min. If non-energy-saving loading testing methods are used, huge energy consumption will be generated.…”

Research on a Pressure Control Method for a Liquid Supply System Based on Online Updating of a Radial Basis Function Neural Network

“…However, due to the complex and diverse coal seam conditions and the lack of coordinated and orderly control methods for all the equipment utilized in fully mechanized mining faces [2,3], intelligent and automated coal mines still present important issues that need to be urgently solved. The liquid supply system of the emulsion pump station, as the power source of the hydraulic support of the mining face support equipment, directly affects the stability of the mining face support and the safe advance of the mining face [4]. However, the pump station is difficult to adapt to the strong time-varying conditions because of the large difference in liquid flow required by different hydraulic support operation types.…”