煤炭工程 ›› 2023, Vol. 55 ›› Issue (3): 120-126.doi: 10.11799/ce202303022

• 研究探讨 • 上一篇    下一篇

液压支架实时压力数据自动提取与动态分析方法研究

卢国志,胡斐,李鑫,等   

  1. 山东科技大学
  • 收稿日期:2022-07-01 修回日期:2022-09-27 出版日期:2023-03-20 发布日期:2023-04-11
  • 通讯作者: 胡斐 E-mail:1310346177@qq.com

A method for automatic extraction and dynamic analysis of real-time pressure data of fully mechanized mining hydraulic support

  • Received:2022-07-01 Revised:2022-09-27 Online:2023-03-20 Published:2023-04-11

摘要: 针对目前液压支架电液控系统压力数据量大,干扰信息多从而造成仅仅依靠人工分析难以完成数据提取与动态分析的情况,设计了一种能够对支架压力数据自动提取循环周期、预测以及来压区域划分的方法。首先针对液压支架的工作特点,设计规则,提取正常工作状态下的压力数据作为循环数据,随后通过聚类的方法,结合每个支架压力数据划分出显著来压区域,最后采用LSTM算法对循环压力数据进行预测分析。通过实践证实了该方法的可行性,为矿山压力规律研究及安全开采提供思路。

关键词: 支架压力, 循环周期, 来压预测, 聚类分析

Abstract: Mine pressure prediction is the key and difficult point of coal roof disaster prevention. At present, the popularity of hydraulic support electro-hydraulic control system makes the pressure data can completely and quickly reflect the change of roof pressure. However, due to the large amount of data and many interference information, it is difficult to complete it only by manual analysis. In view of this situation, a method that can automatically extract the cycle cycle, predict and divide the pressure area of the support pressure data is designed. Firstly, according to the working characteristics of the hydraulic support, design rules, and extract the pressure data under normal working conditions as the cycle data. Then, through the clustering method, combined with the pressure data of each support, the significant pressure area is divided. Finally, the LSTM algorithm is used to predict and analyze the cycle pressure data. The feasibility of this method is proved by practice, which provides ideas for the study of mine pressure law and safe mining.

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