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基于CBR的建筑施工塔吊事故预警模型研究 被引量:1

Study on Early Warning Model of Tower Crane Accident in Building Construction Based on Case-Based Reasoning
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摘要 随着建筑业的蓬勃发展,建筑施工塔吊得到了广泛使用,但其安全事故也频频发生。为了有效预警塔吊安全事故,利用案例推理方法,通过收集和整理2019-2021年全国塔吊事故调查报告构建塔吊事故案例库,并结合遗传算法和最近邻算法进行案例检索,找到与目标情景相似的情景,根据相似度的大小决定是否进行案例重用或者案例修改。将该预警模型应用到实际案例,验证该模型的准确性和可行性,研究结果表明该模型可实现建筑施工塔吊全生命周期、全类型的安全管理。 With the booming development of the construction industry,tower cranes in construction have been widely used,but their safety accidents also occur frequently.To effectively warn against tower crane safety accidents,this paper uses the case-based reasoning method to build a tower crane accident case database by collecting and sorting out the investigation reports of tower crane accidents nationwide from 2019 to 2021.Then the genetic algorithm and the nearest neighbor algorithm are combined for case re-trieval to find a similar situation with the target situation,and the case reuse or modification is decided according to the similarity.Finally,the model is applied to a practical case to verify the accuracy and feasibility of the model.The research results show that the model can realize the whole life cycle and all types of safety management of tower cranes in construction.
作者 彭波 蒲红枭 李英攀 严沁雪 PENG Bo;PU Hongxiao;LIYingpan;YAN Qinxue(School of Civil Engineering and Architecture,Wuhan University of Technology,Wuhan 430070,China;Citic Digital Intelligence(Wuhan)Technology Co.Ltd.,Wuhan 430014,China)
出处 《工程管理学报》 2023年第3期125-129,共5页 Journal of Engineering Management
基金 中央高校基本科研业务费专项资金资助(WUT:2014-IV-122) 湖北省自然科学基金资助项目(2013CFB346) 工信部工业互联网创新发展工程研究项目(TC19084E1).
关键词 塔吊事故预警 案例推理方法 安全系统理论 最近邻算法 遗传算法 tower crane accident warning case-based reasoning method safety system theory:k-nearest neighbor genetic algorithm
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