矿井下多工作面爆破工序智能管控体系研究
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河南理工大学

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TD679

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河南省优秀青年科学基金(242300421070);中国博士后科学基金第73批面上资助(2023M733279)


Research on intelligent control system of multi-face blasting process under mine
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Henan Polytechnic University

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    摘要:

    以某铁矿穿孔和爆破工序分离的实际情况为工程背景,对该铁矿因穿爆分离所引发的一系列问题进行研究,得出该铁矿具有生产组织协调难度大、工序间信息传递滞后、爆破工序信息孤岛、风险频发和生产成本较大等突出性问题。为有效解决应用穿爆分离模式所导致的多种问题,提高矿井生产效率,采用重大爆破事故案例分析和爆破工序事故树风险评估的方法,结合该铁矿的实际需求情况,构建矿井下多工作面爆破工序智能管控思路。依照爆破工序智能管控思路设计出具备实时交互和管理矿井下不同中段多工作面爆破工序信息、爆破工序任务分配、爆破器材精准化管理和人员多级化管控等功能多样的智能化管控系统,系统主要采用vue+django框架设计实现。经过对研发完成的爆破工序智能管控系统的多方面测试和实地部署应用,有效地解决了该矿井穿爆不协同的难题。

    Abstract:

    Based on the actual engineering scenario of separated drilling and blasting operations at an iron mine, this study investigates a series of issues arising from this operational separation. Key problems identified include: challenging organizational coordination, lagging information transfer between processes, information silos in blasting operations, frequent risk occurrences, and high production costs. To effectively address these challenges and enhance mining efficiency, the research employs major blasting accident case analyses and fault tree risk assessment methodologies. Integrating the mine’s practical requirements, a conceptual framework for intelligent management of multi-workface blasting operations in underground mining is proposed. Following this framework, an intelligent management system is designed with multifunctional capabilities: real-time interaction and management of blasting information across multiple working faces at different levels, task allocation for blasting operations, precision management of explosive materials, and multi-tier personnel control. The system is primarily developed using Vue and Django frameworks. Through comprehensive testing and practical deployment, the developed intelligent blasting management system has effectively resolved the mine’s operational incoordination between drilling and blasting processes.

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  • 收稿日期:2025-06-16
  • 最后修改日期:2025-07-25
  • 录用日期:2025-07-28
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