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作 者:任崇宝 蓝麒[1] 郝素利[2] 崔健峰 Ren Chongbao;Lan Qi;Hao Suli;Cui Jianfeng(China Special Equipment Inspection&Research Institute ,Beijing 100029;School of Management,China University of Mining and Technology-Beijing, Beijing 100083;School of Information Science and Technology,Beijing University of Technology ,Beijing 100124)
机构地区:[1]中国特种设备检测研究院,北京100029 [2]中国矿业大学(北京)管理学院,北京100083 [3]北京工业大学信息科学技术学院,北京100124
出 处:《中国特种设备安全》2025年第3期52-59,64,共9页China Special Equipment Safety
基 金:国家重点研发计划课题“特种设备现场检验监管智能辅助决策关键技术与装备研发”(2022YFF0607404)。
摘 要:当前,电梯安全风险防控过程中管理方式落后、知识储备不足与辅助工具欠缺等问题造成了作业人员“业务不会干”与“业务干不好”的现象。本文以智能问答、智能推荐与关联决策为目标,基于数据驱动的技术方法探究智能辅助决策系统要素关系及元数据规范。首先,基于要素事件与关联关系范畴建立智能辅助决策要素挖掘范式;其次,探究宏观与微观视角下基于数据驱动的智能辅助决策要素关联关系挖掘模型构建及应用;最后,初步建立智能辅助决策要素元数据规范。研究结果为电梯风险防控智能辅助决策与数据可信共享提供要素及模型基础,赋能解决风险防控联盟区块链搭建过程中数据来源不可靠、数据标准不统一与数据壁垒问题。Currently,outdated management methods,insufficient knowledge reserves,and a lack of auxiliary tools in elevator safety risk prevention and control processes have led to phenomena where workers are unable to perform their duties effectively or well.This paper aims to explore the relationships between elements and metadata standards in intelligent decision support systems,focusing on intelligent Q&A,intelligent recommendations,and associated decision-making,using data-driven technical methods.Firstly,an intelligent decision-making element mining paradigm is established based on element events and associated relationships.Secondly,the paper investigates the construction and application of data-driven intelligent decision-making element association models from both macro and micro perspectives.Lastly,preliminary metadata standards for intelligent decision-making elements are established.The research results provide a foundation for intelligent decision-making in elevator risk prevention and control,as well as for data credibility sharing,empowering the resolution of unreliable data sources,non-uniform data standards,and data barriers in the construction process of risk prevention alliance blockchains.
关 键 词:电梯安全 智能辅助决策 要素关联关系挖掘 要素事件关系挖掘 元数据规范
分 类 号:X924[环境科学与工程—安全科学]
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