• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2025, Vol. 61 ›› Issue (15): 324-338.doi: 10.3901/JME.2025.15.324

• 人因与具身智能 • 上一篇    

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一种主观人因失效防范的核电建造协同质量智能见证方法

周汶蓉1, 熊世权1, 杨秦秦2, 叶驰川3, 徐梦宇1, 易茜1, 冯毅雄4, 易树平1   

  1. 1. 重庆大学机械与运载工程学院 重庆 400044;
    2. 深圳中广核工程设计有限公司 深圳 518172;
    3. 中广核工程有限公司 深圳 518124;
    4. 浙江大学流体动力基础件与机电系统全国重点实验室 杭州 310027
  • 收稿日期:2024-08-09 修回日期:2025-01-08 发布日期:2025-09-28
  • 作者简介:周汶蓉,女,1998年出生。主要研究方向为人因工程、质量管理。E-mail:202007021105t@cqu.edu.cn;熊世权(通信作者),男,1975年出生,博士,讲师。主要研究方向为工业工程技术、质量管理、智能制造。E-mail:xiongshiquan@cqu.edu.cn
  • 基金资助:
    国家重点研发计划(2020YFB1711700)和中央高校基本科研业务费专项资金(2021CDJKYJH022)资助项目。

Intelligent Witness Method for Nuclear Power Construction Collaborative Quality Based on Subjective Human Failure Prevention

ZHOU Wenrong1, XIONG Shiquan1, YANG Qinqin2, YE Chichuan3, XU Mengyu1, YI Qian1, FENG Yixiong4, YI Shuping1   

  1. 1. College of Mechanical and Transportation Engineering, Chongqing University, Chongqing 400044;
    2. China Nuclear Power Design Co., Ltd., (ShenZhen), Shenzhen 518172;
    3. China Nuclear Power Engineering Co., Ltd., Shenzhen 518124;
    4. State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310027
  • Received:2024-08-09 Revised:2025-01-08 Published:2025-09-28

摘要: 人因失效为造成核电事故的主要因素,在建造中因参与人员的主观行为意愿与质量管控规制发生冲突时会引发主观人因失效,为此基于主观人因失效控制结构提出一种智能质量见证方法来防范失效。在分析核电装备协同质量见证模式与主观人因失效问题基础上,基于系统理论事故模型和过程方法构建协同质量见证的主观人因失效防范安全控制结构,识别安全约束缺失导致的主观人因失效风险因素,并利用决策与试验评价实验室法计算关键风险因素影响作用,揭示主观人因失效事件防范的技术与管理屏障。通过物联信息感知与大数据技术的深度融合,设计主观人因失效防范的协同质量智能见证方法,给出其体系架构,展示了所开发的智能见证平台在中广核三澳核电项目土建工程中良好的应用效果。提出的协同质量智能见证方法可为以核电装备为代表的复杂产品主观人因失效防范提供参考和借鉴。

关键词: 核电建造, 协同质量见证, 主观人因失效, 智能制造

Abstract: Human-caused failure is the main factor causing nuclear power accidents. In construction, subjective human-caused failure can occur when the subjective behavioral will of the participants conflicts with the quality control regulations, so an intelligent quality witnessing method is proposed to prevent failure based on the subjective human-caused failure control structure. On the basis of analyzing the collaborative quality witnessing model and subjective human factors failure in nuclear power equipment, it construct a subjective human factors failure prevention safety control structure for collaborative quality witnessing based on the systems-theoretic accident model and processes method, identify the risk factors of subjective human-caused failure caused by the lack of safety constraints, and utilize the decision making trial and evaluation laboratory method to calculate the effect of key risk factors to reveal the technical and management barriers of subjective human-caused failure event prevention. Through the deep integration of IOT information sensing and big data technology, the collaborative quality intelligent witnessing method for subjective human-caused failure prevention is designed and its architecture is given. The developed intelligent witnessing platform is demonstrated to be well applied in the civil engineering of the CGNPC San'ao nuclear power project. The proposed collaborative quality intelligent witnessing method can provide reference and reference for the subjective human-caused failure prevention of complex products represented by nuclear power equipment.

Key words: nuclear power construction, collaborative quality witnessing, subjective human factors failure, intelligent manufacturing

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