Article(id=1282036044543541770, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282036038860255373, articleNumber=null, orderNo=null, doi=10.16265/j.cnki.issn1003-3033.2025.11.0420, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1749484800000, receivedDateStr=2025-06-10, revisedDate=1756915200000, revisedDateStr=2025-09-04, acceptedDate=null, acceptedDateStr=null, onlineDate=1783590812096, onlineDateStr=2026-07-09, pubDate=1764259200000, pubDateStr=2025-11-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1783590812096, onlineIssueDateStr=2026-07-09, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1783590812096, creator=13701087609, updateTime=1783590812096, updator=13701087609, issue=Issue{id=1282036038860255373, tenantId=1146029695717560320, journalId=1146031787341344770, year='2025', volume='35', issue='11', pageStart='1', pageEnd='268', issueExtLink='null', onlineDate='null', pubDate='1764259200000', pubDateStr='2025-11-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1783590810742, creator='13701087609', updateTime=1783593801313, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1282048582291276616, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282036038860255373, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1282048582295470921, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282036038860255373, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=81, endPage=91, ext={EN=ArticleExt(id=1282036044740674059, articleId=1282036044543541770, tenantId=1146029695717560320, journalId=1146031787341344770, language=EN, title=Safety evaluation of lifting machinery based on game theory-improved cloud model, columnId=1149733269173878863, journalTitle=China Safety Science Journal, columnName=Safety engineering technology, runingTitle=null, highlight=null, articleAbstract=

To address the issues of an incomplete indicator system and oversimplified weight determination in current lifting machinery safety evaluation, a safety evaluation indicator system for lifting machinery was constructed based on Man, Machine, Milieu, Management(4M) factors theory and 95 lifting machinery accident investigation reports from 2019 to 2023. The BWM was employed to determine subjective weights, while an CRITIC method was introduced to determine objective weights. By applying game theory combination weighting, the subjective and objective weights were integrated to form composite weights, thereby enabling the weighting and evaluation of the established indicator system. The results reveal that human factors are the primary cause of lifting machinery accidents. During safety inspections of operators, particular attention should be paid to their safety awareness and technical proficiency. In safety inspections of lifting machinery, the effectiveness of safety protection devices and the structural integrity of key components should be emphasized. The model outputs are highly consistent with key safety indicators in the on-site inspection records, confirming the effectiveness of the proposed model in the safety evaluation of lifting machinery.

, authors=Jin'e LIU1, Ming JIANG2, Ke YUN1, Xumeng XIE3, Yongquan LI4, Banqiao WANG**, 2, authorsList=Jin'e LIU, Ming JIANG, Ke YUN, Xumeng XIE, Yongquan LI, Banqiao WANG, authorCompany=null, correspAuthors=Banqiao 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=1282036045252379150, articleId=1282036044543541770, tenantId=1146029695717560320, journalId=1146031787341344770, language=CN, title=基于博弈论—改进云模型的起重机械安全评价, columnId=1149733269727526997, journalTitle=中国安全科学学报, columnName=安全工程技术, runingTitle=null, highlight=null, articleAbstract=

为解决当前起重机械安全评价中指标体系不健全、权重确定单一化的问题,基于2019—2023年期间95起起重机械事故调查报告,结合人、设备、作业环境和管理(4M)理论构建起重机械安全评价指标体系;采用最优最劣法(BWM)确定主观权重,并引入指标相关性与冲突性(CRITIC)方法进行客观权重赋权,基于博弈论思想将主、客观权重进行组合赋权,形成综合权重,完成赋权与评价所构建的评价指标体系;以西安市某建筑施工企业A项目在用3台塔式起重机为实证对象,运用改进云模型对其安全状况开展评价验证。结果表明:人员因素是起重机械事故的主要致因,在对作业人员进行安全检查时,应重点关注作业人员的安全意识与安全技术水平;在对起重机械进行安全检查时,要关注安全保护装置的效能及结构本体关键部位的完整性。模型输出与现场检验记录的关键安全指标高度一致,证实了该模型在起重机械安全评价中的有效性。

, authors=刘金娥高级工程师1, 蒋鸣2, 贠柯高级工程师1, 谢旭梦高级工程师3, 李涌泉高级工程师4, 汪班桥副教授**, 2, authorsList=刘金娥高级工程师, 蒋鸣, 贠柯高级工程师, 谢旭梦高级工程师, 李涌泉高级工程师, 汪班桥副教授, authorCompany=null, correspAuthors=汪班桥副教授, authorNote=

刘金娥(1984—),女,陕西西安人,博士,高级工程师,主要从事特种设备检验检测与质量管理体系方面的工作。E-mail:

, correspAuthorsNote=
** 汪班桥(1977—),女,陕西临潼人,博士,副教授,主要从事复杂工业场景安全风险动态监测与量化安全评价方面的研究。E-mail:
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刘金娥(1984—),女,陕西西安人,博士,高级工程师,主要从事特种设备检验检测与质量管理体系方面的工作。E-mail:

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刘金娥(1984—),女,陕西西安人,博士,高级工程师,主要从事特种设备检验检测与质量管理体系方面的工作。E-mail:

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基于博弈论—改进云模型的起重机械安全评价
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刘金娥高级工程师 1 , 蒋鸣 2 , 贠柯高级工程师 1 , 谢旭梦高级工程师 3 , 李涌泉高级工程师 4 , 汪班桥副教授 **, 2
中国安全科学学报 | 安全工程技术 2025,35(11): 81-91
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中国安全科学学报 |安全工程技术 2025 , 35 (11) : 81 -91
基于博弈论—改进云模型的起重机械安全评价
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刘金娥(1984—),女,陕西西安人,博士,高级工程师,主要从事特种设备检验检测与质量管理体系方面的工作。E-mail:

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刘金娥(1984—),女,陕西西安人,博士,高级工程师,主要从事特种设备检验检测与质量管理体系方面的工作。E-mail:

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刘金娥高级工程师1 , 蒋鸣2, 贠柯高级工程师1, 谢旭梦高级工程师3, 李涌泉高级工程师4, 汪班桥副教授**, 2
作者信息
  • 1西安特种设备检验检测院,陕西 西安 710065
  • 2长安大学 地质工程与测绘学院,陕西 西安 710064
  • 3浙江省特种设备科学研究院,浙江 杭州 310020
  • 4中国特种设备检测研究院,北京 100029
通讯作者:
** 汪班桥(1977—),女,陕西临潼人,博士,副教授,主要从事复杂工业场景安全风险动态监测与量化安全评价方面的研究。E-mail:
作者简介:

刘金娥(1984—),女,陕西西安人,博士,高级工程师,主要从事特种设备检验检测与质量管理体系方面的工作。E-mail:

Safety evaluation of lifting machinery based on game theory-improved cloud model
Jin'e LIU1 , Ming JIANG2, Ke YUN1, Xumeng XIE3, Yongquan LI4, Banqiao WANG**, 2
Affiliations
  • 1Xi'an Special Equipment Inspection Institute, Xi'an Shaanxi 710065, China
  • 2College of Geological Engineering and Geomatics, Chang'an University, Xi'an Shaanxi 710064, China
  • 3Zhejiang Academy of Special Equipment Science, Hangzhou Zhejiang 310020, China
  • 4China Special Equipment Inspection & Research Institute, Beijing 100029, China
出版时间: 2025-11-28 doi: 10.16265/j.cnki.issn1003-3033.2025.11.0420
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为解决当前起重机械安全评价中指标体系不健全、权重确定单一化的问题,基于2019—2023年期间95起起重机械事故调查报告,结合人、设备、作业环境和管理(4M)理论构建起重机械安全评价指标体系;采用最优最劣法(BWM)确定主观权重,并引入指标相关性与冲突性(CRITIC)方法进行客观权重赋权,基于博弈论思想将主、客观权重进行组合赋权,形成综合权重,完成赋权与评价所构建的评价指标体系;以西安市某建筑施工企业A项目在用3台塔式起重机为实证对象,运用改进云模型对其安全状况开展评价验证。结果表明:人员因素是起重机械事故的主要致因,在对作业人员进行安全检查时,应重点关注作业人员的安全意识与安全技术水平;在对起重机械进行安全检查时,要关注安全保护装置的效能及结构本体关键部位的完整性。模型输出与现场检验记录的关键安全指标高度一致,证实了该模型在起重机械安全评价中的有效性。

博弈论组合赋权  /  云模型  /  起重机械  /  安全评价  /  最优最劣法(BWM)  /  指标相关性与冲突性(CRITIC)

To address the issues of an incomplete indicator system and oversimplified weight determination in current lifting machinery safety evaluation, a safety evaluation indicator system for lifting machinery was constructed based on Man, Machine, Milieu, Management(4M) factors theory and 95 lifting machinery accident investigation reports from 2019 to 2023. The BWM was employed to determine subjective weights, while an CRITIC method was introduced to determine objective weights. By applying game theory combination weighting, the subjective and objective weights were integrated to form composite weights, thereby enabling the weighting and evaluation of the established indicator system. The results reveal that human factors are the primary cause of lifting machinery accidents. During safety inspections of operators, particular attention should be paid to their safety awareness and technical proficiency. In safety inspections of lifting machinery, the effectiveness of safety protection devices and the structural integrity of key components should be emphasized. The model outputs are highly consistent with key safety indicators in the on-site inspection records, confirming the effectiveness of the proposed model in the safety evaluation of lifting machinery.

game theory combination weighting  /  cloud model  /  lifting machinery  /  safety evaluation  /  best-worst method(BWM)  /  criteria importance though intercriteria correlation(CRITIC)
刘金娥高级工程师, 蒋鸣, 贠柯高级工程师, 谢旭梦高级工程师, 李涌泉高级工程师, 汪班桥副教授. 基于博弈论—改进云模型的起重机械安全评价. 中国安全科学学报, 2025 , 35 (11) : 81 -91 . DOI: 10.16265/j.cnki.issn1003-3033.2025.11.0420
Jin'e LIU, Ming JIANG, Ke YUN, Xumeng XIE, Yongquan LI, Banqiao WANG. Safety evaluation of lifting machinery based on game theory-improved cloud model[J]. China Safety Science Journal, 2025 , 35 (11) : 81 -91 . DOI: 10.16265/j.cnki.issn1003-3033.2025.11.0420
  • 中国特种设备检验协会软科学课题(CASEI-RKT2024-37)
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doi: 10.16265/j.cnki.issn1003-3033.2025.11.0420
  • 接收时间:2025-06-10
  • 首发时间:2026-07-09
  • 出版时间:2025-11-28
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  • 收稿日期:2025-06-10
  • 修回日期:2025-09-04
基金
中国特种设备检验协会软科学课题(CASEI-RKT2024-37)
作者信息
    1西安特种设备检验检测院,陕西 西安 710065
    2长安大学 地质工程与测绘学院,陕西 西安 710064
    3浙江省特种设备科学研究院,浙江 杭州 310020
    4中国特种设备检测研究院,北京 100029

通讯作者:

** 汪班桥(1977—),女,陕西临潼人,博士,副教授,主要从事复杂工业场景安全风险动态监测与量化安全评价方面的研究。E-mail:
参考文献
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2种不同金属材料的力学参数

Family
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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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