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某铁矿井下多工作面协同爆破智能管控体系研究
引用本文:张西良,李龙福,崔正荣,汪禹,王春.某铁矿井下多工作面协同爆破智能管控体系研究[J].有色金属工程,2024(6):108-115.
作者姓名:张西良  李龙福  崔正荣  汪禹  王春
作者单位:马鞍山矿山研究院爆破工程有限责任公司,马鞍山矿山研究院爆破工程有限责任公司,马鞍山矿山研究院爆破工程有限责任公司,马鞍山矿山研究院爆破工程有限责任公司,河南理工大学 能源科学与工程学院
基金项目:(Foundation item):中国博士后科学基金面上项目资助(No. 2023M733279);河南省重点研发与推广专项(科技攻关)项目(No. 222102320011);安徽省博士后科研资助计划(No. 2022B650)
摘    要:基于某铁矿穿孔和爆破工序分割、多中段多工作面同时作业的工程背景,采用跟踪调研的方法得出该铁矿具有爆破作业管控难度大、工序反馈衔接不及时、有效作业人员占比小等问题。以解决上述难题为目的,采用工序分析、问题提出、风险评估等层层递进的方法,开展井下多工作面协同爆破智能管控体系研究,其结果表明:井下爆破作业各工序间具有严谨的先后顺序;爆破器材运输和装药工序的危险程度最高,需精准管控;采用智能软件协同监管多工作面爆破作业工序,不仅精准管控效率高,还可降低矿山爆破作业的事故机率。最后结合某铁矿的实际作业条件,基于多工作面同时爆破作业的先后流程,采用Python语言开发了井下多工作面协同爆破智能管控软件,并通过爆破作业工作面的管理调试,证明研发的管控软件适合辅助该铁矿爆破工序的监管。

关 键 词:铁矿  多工作面  爆破工序  智能管控  软件
收稿时间:2023/12/6 0:00:00
修稿时间:2023/12/21 0:00:00

Research on the intelligent management and control system of multiple mining faces coordinated blasting in an iron mine
ZHANG Xi-liang,LI Long-fu,CUI Zheng-rong,WANG Yu and WANG Chun.Research on the intelligent management and control system of multiple mining faces coordinated blasting in an iron mine[J].Nonferrous Metals Engineering,2024(6):108-115.
Authors:ZHANG Xi-liang  LI Long-fu  CUI Zheng-rong  WANG Yu and WANG Chun
Affiliation:Maanshan Institue of Mining Research Blasting Engineering CoLtd,Maanshan,Maanshan Institue of Mining Research Blasting Engineering CoLtd,Maanshan,Maanshan Institue of Mining Research Blasting Engineering CoLtd,Maanshan,Maanshan Institue of Mining Research Blasting Engineering CoLtd,Maanshan,SchoolSofSEnergySScienceSandSEngineering,SHenanSPolytechnicSUniversity
Abstract:Based on the engineering background of an iron mine where the perforation and blasting processes are divided, and multiple middle sections and multiple working faces are operated simultaneously, a follow-up survey method was adopted to conclude that the iron mine has difficulty in blasting operation control, untimely feedback from the process, and a small proportion of effective personnel. In order to solve the above problems, a progressive method such as process analysis, problem posing, and risk assessment was used to carry out research on the intelligent management and control system of underground multi-working face collaborative blasting. The results indicate that there is a strict sequence between the various processes of underground blasting operations; the blasting equipment transportation and charging processes are the most dangerous and require precise control; the use of intelligent software to coordinately supervise the multi-working face blasting operation process not only achieves high precision control efficiency, but also reduces the accident efficiency of mine blasting operations. Finally, combined with the actual operating conditions of an iron mine, based on the sequential process of simultaneous blasting operations on multiple working faces, an intelligent management and control software for underground multi-working face collaborative blasting was developed using Python language, and the management and debugging of the blasting working face was used to prove the control of research and development. The software is suitable to assist in the supervision of the iron ore blasting process.
Keywords:iron mine  multiple mining faces  blasting work sequence  intelligent management and control  software
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