Article(id=1282034748633625101, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282034747870253265, articleNumber=null, orderNo=null, doi=10.16265/j.cnki.issn1003-3033.2025.10.0461, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1747152000000, receivedDateStr=2025-05-14, revisedDate=1752768000000, revisedDateStr=2025-07-18, acceptedDate=null, acceptedDateStr=null, onlineDate=1783590503128, onlineDateStr=2026-07-09, pubDate=1761580800000, pubDateStr=2025-10-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1783590503128, onlineIssueDateStr=2026-07-09, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1783590503128, creator=13701087609, updateTime=1783590503128, updator=13701087609, issue=Issue{id=1282034747870253265, tenantId=1146029695717560320, journalId=1146031787341344770, year='2025', volume='35', issue='10', pageStart='1', pageEnd='252', issueExtLink='null', onlineDate='null', pubDate='1761580800000', pubDateStr='2025-10-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1783590502946, creator='13701087609', updateTime=1783593819616, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1282048659068006772, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282034747870253265, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1282048659068006773, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282034747870253265, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=17, endPage=23, ext={EN=ArticleExt(id=1282034748897866254, articleId=1282034748633625101, tenantId=1146029695717560320, journalId=1146031787341344770, language=EN, title=Comparison and application of audit modes of QHSE management system in oil and gas long-distance pipeline enterprises, columnId=1149733271128420907, journalTitle=China Safety Science Journal, columnName=Safety social science and safety management, runingTitle=null, highlight=null, articleAbstract=

Safety management of long-distance oil and gas pipeline enterprises has been regarded as essential for ensuring energy security and maintaining social stability. As a key approach to enhancing safety management efficiency, audits of QHSE management systems are increasingly emphasized. In this study, traditional audit modes—including international safety rating audits, full-factor quantitative audits, and system certification audits—were systematically compared and analyzed. Additionally, the features and applicable contexts of emerging audit modes, such as data-driven audits and AI-based audits, were further explored. It was found that each audit mode presented distinct advantages and limitations, depending on the enterprise's stage of development, risk management demands, and resource capabilities. Accordingly, a comprehensive audit framework integrating conventional methods and intelligent technologies was constructed. Optimization strategies were proposed, including phased audit mode selection, risk-oriented focus, capacity enhancement, digital and intelligent transformation, and the establishment of a closed-loop rectification mechanism. The findings show that a multi-mode integrated audit system significantly improves the safety performance of long-distance oil and gas pipeline enterprises. The conclusions provide theoretical guidance and practical reference for the selection and optimization of QHSE audit modes in the oil and gas industry.

, authors=Jinghui CUI1, Guoyu DONG2, Liang ZHANG3, Zhi XU3, Ruipeng TONG**, 2, authorsList=Jinghui CUI, Guoyu DONG, Liang ZHANG, Zhi XU, Ruipeng TONG, authorCompany=null, correspAuthors=Ruipeng TONG, 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=1282034749145330191, articleId=1282034748633625101, tenantId=1146029695717560320, journalId=1146031787341344770, language=CN, title=油气长输管道企业QHSE管理体系审核模式比较与应用, columnId=1149733271296193071, journalTitle=中国安全科学学报, columnName=安全社会科学与安全管理, runingTitle=null, highlight=null, articleAbstract=

为提升油气长输管道企业的安全管理效能,系统比较分析国际安全评级审核、全要素量化审核及体系认证审核等传统审核模式,并进一步探讨数据驱动审核和人工智能(AI)审核等新兴模式的特点与适用场景;构建涵盖传统方法和现代智能技术的综合审核框架,并提出分阶段选择审核模式、突出风险导向、加强能力建设、推进数字化智能化转型以及建立闭环整改机制等优化策略。结果表明:不同的审核模式适用于企业发展的不同阶段。在企业风险管理需求不同的情况下,审核模式的效果也有所差异。企业资源能力的强弱,也会影响审核模式的选择与实施效果,各种审核模式在实际应用中各有优势,也存在一定的局限性。案例分析结果证明,多模式融合审核体系能显著提升油气长输管道企业的安全绩效。

, authors=崔京辉高级工程师1, 董国宇2, 张亮3, 徐智3, 佟瑞鹏教授**, 2, authorsList=崔京辉高级工程师, 董国宇, 张亮, 徐智, 佟瑞鹏教授, authorCompany=null, correspAuthors=佟瑞鹏教授, authorNote=

崔京辉(1972—),男,天津人,工程硕士,高级工程师,主要从事安全管理、环境保护方面的工作。E-mail:

, correspAuthorsNote=
** 佟瑞鹏(1977—),男,黑龙江穆棱人,博士,教授,主要从事行为安全管理、职业心理健康、环境风险评估等方面的研究。E-mail:
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崔京辉(1972—),男,天津人,工程硕士,高级工程师,主要从事安全管理、环境保护方面的工作。E-mail:

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崔京辉(1972—),男,天津人,工程硕士,高级工程师,主要从事安全管理、环境保护方面的工作。E-mail:

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油气长输管道企业QHSE管理体系审核模式比较与应用
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崔京辉高级工程师 1 , 董国宇 2 , 张亮 3 , 徐智 3 , 佟瑞鹏教授 **, 2
中国安全科学学报 | 安全社会科学与安全管理 2025,35(10): 17-23
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中国安全科学学报 |安全社会科学与安全管理 2025 , 35 (10) : 17 -23
油气长输管道企业QHSE管理体系审核模式比较与应用
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崔京辉高级工程师1 , 董国宇2, 张亮3, 徐智3, 佟瑞鹏教授**, 2
作者信息
  • 1国家管网集团 北京管道有限公司,北京 100101
  • 2中国矿业大学(北京)应急管理与安全工程学院,北京 100083
  • 3北京天泰志远科技股份有限公司,北京 100102
通讯作者:
** 佟瑞鹏(1977—),男,黑龙江穆棱人,博士,教授,主要从事行为安全管理、职业心理健康、环境风险评估等方面的研究。E-mail:
作者简介:

崔京辉(1972—),男,天津人,工程硕士,高级工程师,主要从事安全管理、环境保护方面的工作。E-mail:

Comparison and application of audit modes of QHSE management system in oil and gas long-distance pipeline enterprises
Jinghui CUI1 , Guoyu DONG2, Liang ZHANG3, Zhi XU3, Ruipeng TONG**, 2
Affiliations
  • 1Beijing Pipeline Limited Company, Pipe China, Beijing 100101, China
  • 2School of Emergency Management and Safety Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China
  • 3Beijing Tiantai Zhiyuan Technology Limited Company, Beijing 100102, China
出版时间: 2025-10-28 doi: 10.16265/j.cnki.issn1003-3033.2025.10.0461
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为提升油气长输管道企业的安全管理效能,系统比较分析国际安全评级审核、全要素量化审核及体系认证审核等传统审核模式,并进一步探讨数据驱动审核和人工智能(AI)审核等新兴模式的特点与适用场景;构建涵盖传统方法和现代智能技术的综合审核框架,并提出分阶段选择审核模式、突出风险导向、加强能力建设、推进数字化智能化转型以及建立闭环整改机制等优化策略。结果表明:不同的审核模式适用于企业发展的不同阶段。在企业风险管理需求不同的情况下,审核模式的效果也有所差异。企业资源能力的强弱,也会影响审核模式的选择与实施效果,各种审核模式在实际应用中各有优势,也存在一定的局限性。案例分析结果证明,多模式融合审核体系能显著提升油气长输管道企业的安全绩效。

油气长输管道  /  质量、健康、安全、环境(QHSE)管理体系  /  审核模式  /  数据驱动  /  人工智能(AI)审核

Safety management of long-distance oil and gas pipeline enterprises has been regarded as essential for ensuring energy security and maintaining social stability. As a key approach to enhancing safety management efficiency, audits of QHSE management systems are increasingly emphasized. In this study, traditional audit modes—including international safety rating audits, full-factor quantitative audits, and system certification audits—were systematically compared and analyzed. Additionally, the features and applicable contexts of emerging audit modes, such as data-driven audits and AI-based audits, were further explored. It was found that each audit mode presented distinct advantages and limitations, depending on the enterprise's stage of development, risk management demands, and resource capabilities. Accordingly, a comprehensive audit framework integrating conventional methods and intelligent technologies was constructed. Optimization strategies were proposed, including phased audit mode selection, risk-oriented focus, capacity enhancement, digital and intelligent transformation, and the establishment of a closed-loop rectification mechanism. The findings show that a multi-mode integrated audit system significantly improves the safety performance of long-distance oil and gas pipeline enterprises. The conclusions provide theoretical guidance and practical reference for the selection and optimization of QHSE audit modes in the oil and gas industry.

long-distance oil and gas pipelines  /  quality, health, safety and environment (QHSE) management system  /  audit modes  /  data-driven  /  artificial intelligence (AI) audit
崔京辉高级工程师, 董国宇, 张亮, 徐智, 佟瑞鹏教授. 油气长输管道企业QHSE管理体系审核模式比较与应用. 中国安全科学学报, 2025 , 35 (10) : 17 -23 . DOI: 10.16265/j.cnki.issn1003-3033.2025.10.0461
Jinghui CUI, Guoyu DONG, Liang ZHANG, Zhi XU, Ruipeng TONG. Comparison and application of audit modes of QHSE management system in oil and gas long-distance pipeline enterprises[J]. China Safety Science Journal, 2025 , 35 (10) : 17 -23 . DOI: 10.16265/j.cnki.issn1003-3033.2025.10.0461
  • 国家自然科学基金资助(52074302)
  • 国家管网集团科学技术研究总院科研项目(GWHT20250000101)
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doi: 10.16265/j.cnki.issn1003-3033.2025.10.0461
  • 接收时间:2025-05-14
  • 首发时间:2026-07-09
  • 出版时间:2025-10-28
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  • 收稿日期:2025-05-14
  • 修回日期:2025-07-18
基金
国家自然科学基金资助(52074302)
国家管网集团科学技术研究总院科研项目(GWHT20250000101)
作者信息
    1国家管网集团 北京管道有限公司,北京 100101
    2中国矿业大学(北京)应急管理与安全工程学院,北京 100083
    3北京天泰志远科技股份有限公司,北京 100102

通讯作者:

** 佟瑞鹏(1977—),男,黑龙江穆棱人,博士,教授,主要从事行为安全管理、职业心理健康、环境风险评估等方面的研究。E-mail:
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2种不同金属材料的力学参数

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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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