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作 者:张西良 李龙福 崔正荣 汪禹 王春[2] ZHANG Xiliang;LI Longfu;CUI Zhengrong;WANG Yu;WANG Chun(Maanshan Institue of Mining Research Blasting Engineering Co.,Ltd.,Maanshan 243000,China;School of Energy Science and Engineering,Henan Polytechnic University,Jiaozuo 454003,China)
机构地区:[1]马鞍山矿山研究院爆破工程有限责任公司,安徽马鞍山243000 [2]河南理工大学能源科学与工程学院,河南焦作454003
出 处:《有色金属工程》2024年第6期108-115,共8页Nonferrous Metals Engineering
摘 要:基于某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。为解决上述难题,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。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矿爆破工序的监管。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.To solve the above problems,a progressive method including 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.
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