Article(id=1242130939808121626, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242130930203165434, articleNumber=null, orderNo=null, doi=10.3981/j.issn.1000-7857.2013.h2.003, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1365350400000, receivedDateStr=2013-04-08, revisedDate=1374595200000, revisedDateStr=2013-07-24, acceptedDate=null, acceptedDateStr=null, onlineDate=1382025600000, onlineDateStr=2013-10-18, pubDate=1382025600000, pubDateStr=2013-10-18, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1382025600000, onlineIssueDateStr=2013-10-18, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774076693724, creator=sys-migrate, updateTime=1774076693724, updator=sys-migrate, issue=Issue{id=1242130930203165434, tenantId=1146029695717560320, journalId=1146031591421210625, year='2013', volume='31', issue='28-29', pageStart='null', pageEnd='null', issueExtLink='null', onlineDate='null', pubDate='1382025600000', pubDateStr='2013-10-18', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774076691433, creator='sys-migrate', updateTime=1774076691433, updator='sys-migrate', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=30, endPage=34, ext={EN=ArticleExt(id=1242130942375039203, articleId=1242130939808121626, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=Risk Assessment on Blocking of Filling Pipeline Based on the Entropy and Fuzzy Mathematics, columnId=1242116080374710456, journalTitle=Science & Technology Review, columnName=Articles, runingTitle=null, highlight=null, articleAbstract=In order to predict the difficulty degree on filling pipeline blocking of filling system in deep mine, the comprehensive evaluation model of filling pipeline blocking was established on the basis of fuzzy mathematics and the entropy theory. Ten evaluation indexes, such as volume concentration of filling slurry and shape of filling aggregate, were selected as the discriminant ones of the fuzzy synthetic judge model. The corresponding membership matrix was established according to in-situ data of mine and three evaluation standard of filling pipeline blocking risk. The entropy theory was used to calculate the weight of each discriminated index, and the predictive value of filling pipeline blocking was finally achieved and sorted using the rules of fuzzy synthetic judge model. Regarding Longshou mine of Jinchuan Company, Dahongshan copper mine, Hedong gold mine and Xincheng gold mine as evaluation objects of filling pipeline blocking risk, the result shows that the risk grade of Longshou mine of Jinchuan company is a little more than level II, the risk grade of Xincheng gold mine is a little more than level III, the risk grades of Hedong gold mine and Dahongshan copper mine are both less than the level III. The comprehensive evaluation model based on fuzzy mathematics and the entropy theory can reflect the distance between the sample and the evaluation standard, and the evaluation result is objective and reasonable, which has good practicability., authors=ZHANG Qinli¹, CAO Ruifeng¹, WANG Shi¹, LIU Qi¹, HE Hongtao², authorsList=ZHANG Qinli;CAO Ruifeng;WANG Shi;LIU Qi;HE Hongtao, authorCompany=1. School of Resources & Safety Engineering, Central South University, Changsha 410083, China;2. Gushan Mining Company of Masteel, Maanshan 243000, Anhui Province, China, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=M8rbqyv5rau2g5Q/SacUZg==, pdfFileSize=929266, 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=1242130941209022680, articleId=1242130939808121626, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=基于熵权和模糊数学的充填管道堵塞风险评价, columnId=1146540929516700224, journalTitle=科技导报, columnName=研究论文, runingTitle=null, highlight=null, articleAbstract=为预测深井矿山充填管道输送系统堵塞的难易程度,基于熵权和模糊数学理论,建立充填管道堵塞风险综合评判模型。选取充填料浆体积浓度、充填骨料形状等10项评价因素作为模糊综合评判的评价指标,将矿山实测数据和充填管道堵塞风险3级评价标准转化为相应的隶属矩阵,并利用熵权理论获得各判别指标的权重,依照模糊综合评判模型进行计算,得到充填管道堵塞风险评判值并进行排序。以金川龙首矿、大红山铜矿、河东金矿和新城金矿作为充填管道堵塞风险评价对象,结果表明,金川龙首矿充填管道堵塞风险略高于II级,新城金矿充填管道堵塞风险略高于III级,河东金矿和大红山铜矿充填管道堵塞风险均小于III级。所以,金川龙首矿充填管道堵塞风险明显大于其他3个矿山,新城金矿充填管道堵塞风险次之,河东金矿和大红山铜矿充填管道堵塞风险小且差距不大。基于熵权和模糊数学的综合评判模型能反映出样本与评价标准之间的远近程度,评价结果客观、合理,具有良好的实用性。, authors=张钦礼¹, 曹瑞锋¹, 王石¹, 刘奇¹, 何洪涛², authorsList=张钦礼;曹瑞锋;王石;刘奇;何洪涛, authorCompany=1. 中南大学资源与安全工程学院, 长沙 410083;2. 马钢姑山矿业公司, 安徽马鞍山 243000, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=TOR1L/5ol8Uabmt0PjHxMw==, pdfFileSize=929266, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, 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