Article(id=1321893313972646471, tenantId=1146029695717560320, journalId=1225396423026438145, issueId=1321893272490987695, articleNumber=null, orderNo=null, doi=null, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1750003200000, receivedDateStr=2025-06-16, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1793093525640, onlineDateStr=2026-10-27, pubDate=1781712000000, pubDateStr=2026-06-18, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1793093525640, onlineIssueDateStr=2026-10-27, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1793093525640, creator=13701087609, updateTime=1793093525640, updator=13701087609, issue=Issue{id=1321893272490987695, tenantId=1146029695717560320, journalId=1225396423026438145, year='2026', volume='46', issue='6', pageStart='1', pageEnd='312', issueExtLink='null', onlineDate='null', pubDate='1781712000000', pubDateStr='2026-06-18', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1793093515751, creator='13701087609', updateTime=1793094575775, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1321897718625194101, tenantId=1146029695717560320, journalId=1225396423026438145, issueId=1321893272490987695, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1321897718625194102, tenantId=1146029695717560320, journalId=1225396423026438145, issueId=1321893272490987695, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=209, endPage=217, ext={EN=ArticleExt(id=1321893314417242697, articleId=1321893313972646471, tenantId=1146029695717560320, journalId=1225396423026438145, language=EN, title=Research on Intelligent Management and Control System of Blasting Operations in Multiple Working Faces Under Mines, columnId=null, journalTitle=Mining Research and Development, columnName=null, runingTitle=null, highlight=null, articleAbstract=

Based on the practical engineering background of separation of drilling and blasting operations in an iron mine, research was carried out on prominent problems induced by the separation of drilling and blasting operations, including difficulties in production organization and coordination, lagged inter-process information transmission, information silos in blasting operations, frequent operational risks, and high production costs. Using blasting accident case analysis and fault-tree-based risk assessment method for blasting operations, an intelligent management and control scheme for blasting operations in multiple working faces was established. Based on the Vue+Django framework, an intelligent blasting operation management and control system featuring real-time interaction, process task allocation, precise management of blasting materials, and multi-level personnel control was designed and developed. Results show that, under weak-signal conditions, the system maintains an information transmission delay of approximately 250 ms, a packet loss rate of 0.3%, and a reconnection time of less than 3 s. Under a concurrency level of 1 000 users, the system maintains an average response time of less than 1 s and a transaction success rate exceeding 98%. Following field application, the risk frequency of blasting operations is significantly reduced, considerable costs are saved, and blasting efficiency is improved, thereby effectively solving the coordination problems between drilling and blasting operations. The obtained results provide a feasible technical approach for the intelligent upgrading of mine blasting operations.

, authors=Taihao Cui¹, Longfu Li^{1, 2}, Chun Wang¹, Meng Li¹, An Rao¹, authorsList=Taihao Cui, Longfu Li, Chun Wang, Meng Li, An Rao, authorCompany=null, correspAuthors=Chun Wang, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1321893315298046539, articleId=1321893313972646471, tenantId=1146029695717560320, journalId=1225396423026438145, language=CN, title=矿井下多工作面爆破工序智能管控体系研究, columnId=1226462295946085268, journalTitle=矿业研究与开发, columnName=矿山机电与矿业智能化, runingTitle=null, highlight=null, articleAbstract=

以某铁矿穿孔与爆破工序分离的实际情况为工程背景，针对穿爆分离引发的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、风险频发及生产成本偏高等突出性问题开展研究。采用爆破事故案例分析与爆破工序事故树风险评估方法，构建了多工作面爆破工序智能管控思路，并采用Vue+Django框架设计并开发了具备实时交互、工序任务分配、爆破器材精准管理及人员多级管控等功能的爆破工序智能管控系统。测试结果表明：系统在弱信号环境下信息传输延迟约为250 ms、丢包率为0.3%、重连时间在3 s以内；并发用户数达1 000人时，平均响应时间小于1 s，事务成功率超98%；现场应用后，各爆破工序风险频数显著降低，节约了大量资金并提高了爆破作业效率，有效解决了穿爆不协同的难题。研究结果为矿山爆破工序智能化升级提供了可行技术方案。

, authors=崔太浩¹, 李龙福^{1, 2}, 王春¹, 李梦¹, 饶安¹, authorsList=崔太浩, 李龙福, 王春, 李梦, 饶安, authorCompany=null, correspAuthors=王春, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=J6OmSSTzepxXVysFQyVC5g==, magXml=7IQZuKgLFgJrVzPAWL4ytg==, pdfUrl=null, pdf=60nWOSMUX2JRte6I1QDefQ==, pdfFileSize=3950082, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=rW7W5elBZRNYCCMMNgdrUg==, mapNumber=null, fund=null)}, authors=[Author(id=1321893319005811290, tenantId=1146029695717560320, journalId=1225396423026438145, articleId=1321893313972646471, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=212302020056@home.hpu.edu.cn, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1321893319135834716, tenantId=1146029695717560320, journalId=1225396423026438145, articleId=1321893313972646471, authorId=1321893319005811290, language=EN, stringName=Taihao Cui, firstName=Taihao, middleName=null, lastName=Cui, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1.School of Energy Science and Engineering, Henan Polytechnic University, Jiaozuo, Henan 454003, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1321893319437824605, tenantId=1146029695717560320, journalId=1225396423026438145, articleId=1321893313972646471, authorId=1321893319005811290, language=CN, stringName=崔太浩, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1．河南理工大学 能源科学与工程学院，河南 焦作市　454003, bio={"content":"

崔太浩（2000—），男，河南南阳人，硕士研究生，主要从事矿山开采方法与技术方面的研究工作。E-mail:212302020056@home.hpu.edu.cn

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崔太浩（2000—），男，河南南阳人，硕士研究生，主要从事矿山开采方法与技术方面的研究工作。E-mail:212302020056@home.hpu.edu.cn

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