Scholarlink

<p>The design of Protective Water Barrier Pillars (PWBP) is crucial for ensuring the safety and sustainability of underground mining operations. This paper introduces a novel Python-based application that not only facilitates the design of new PWBPs but also offers a powerful tool for evaluating the integrity of existing pillars. Building on previous research conducted at IIT (BHU) Varanasi, the program integrates two novel intermediate parameters: ZoPVS (Zone of Positive Volumetric Strain) and Qrpf (Seepage rate)—which play a pivotal role in determining the optimal width and stability of PWBPs. The application provides real-time insights into pillar stability, opening new possibilities for enhancing safety protocols. The intuitive user interface, developed using Tkinter, allows mining engineers to seamlessly input data and visualize outcomes through dynamic graphical representations powered by Matplotlib. Further, the application automates the generation of detailed reports using ReportLab, making it an indispensable resource for decision-making in high-stake environments. As this tool marks a departure from traditional methods, it holds the potential to revolutionize PWBP design and evaluation, offering a glimpse into a more efficient, data-driven future for underground mining safety.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

A Computer Program for Selection of Rational Width of Protective Water Barrier Pillars in Underground Coal Mines

  • 期刊论文

  • 发表日期：

    2025年6月4日

查看全文
  • G. S. P. Singh,
  • Ankush Galav,
  • Vedant Shukla

摘要

The design of Protective Water Barrier Pillars (PWBP) is crucial for ensuring the safety and sustainability of underground mining operations. This paper introduces a novel Python-based application that not only facilitates the design of new PWBPs but also offers a powerful tool for evaluating the integrity of existing pillars. Building on previous research conducted at IIT (BHU) Varanasi, the program integrates two novel intermediate parameters: ZoPVS (Zone of Positive Volumetric Strain) and Qrpf (Seepage rate)—which play a pivotal role in determining the optimal width and stability of PWBPs. The application provides real-time insights into pillar stability, opening new possibilities for enhancing safety protocols. The intuitive user interface, developed using Tkinter, allows mining engineers to seamlessly input data and visualize outcomes through dynamic graphical representations powered by Matplotlib. Further, the application automates the generation of detailed reports using ReportLab, making it an indispensable resource for decision-making in high-stake environments. As this tool marks a departure from traditional methods, it holds the potential to revolutionize PWBP design and evaluation, offering a glimpse into a more efficient, data-driven future for underground mining safety.