Gong-kuang zidonghua (Sep 2023)

Research on the dynamic law of automatic following of hydraulic support

  • REN Huaiwei,
  • ZHANG Shuai,
  • XUE Guohua,
  • ZHAO Shuji,
  • ZHANG Yuliang,
  • LI Jian

DOI
https://doi.org/10.13272/j.issn.1671-251x.18133
Journal volume & issue
Vol. 49, no. 9
pp. 47 – 54

Abstract

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Currently, research on the automatic following of hydraulic support in fully mechanized working faces focuses on controlling the movement of hydraulic support based on external environmental variables. It cannot maintain good results during long-term operation of the working face. Considering that changes of the external environment will ultimately be reflected in the hydraulic system, it is proposed to predict the following action time of hydraulic supports based on the pressure features of hydraulic system. Taking S1204 working face of Shaanxi Coal Mining Group Shenmu Ningtiaota Mining Co., Ltd. as the engineering background, a hydraulic system model for single support and a hydraulic system model for working face are established using AMESim software. Through simulation analysis, the dynamic change laws of parameters such as pressure and stroke of the pushing hydraulic cylinder during the simultaneous movement of advancing and sliding are obtained. It is found that the inlet pressure of pushing hydraulic cylinder is linearly related to the pulling time during the automatic following process of hydraulic support . It explains that the following action time can be predicted through the inlet pressure. The hydraulic data acquisition system for the working face is developed and installed on the experimental working face. The real-time pressure at the inlet of the pushing hydraulic cylinder during the working process of hydraulic support is obtained. The corresponding advancing time is calculated. It is found that the two have a strong linear correlation, which is consistent with the simulation results. The linear fitting method is used to obtain the relationship between the inlet pressure and the pulling time, achieving the prediction of pulling time based on hydraulic system pressure. It improves the accuracy of automatic following and reduceg reduceg the manual adjustment rate.

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