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作 者:汪和娟 WANG He-juan(Hefei Vocational and Technical College,School of Architectural Engineering,Hefei 238000,China)
机构地区:[1]合肥职业技术学院建筑工程学院,安徽合肥238000
出 处:《辽东学院学报(自然科学版)》2024年第3期185-193,共9页Journal of Liaodong University:Natural Science Edition
基 金:安徽省教育厅自然科学研究重点项目(2022AH052240)。
摘 要:为确保建筑施工顺利进行,避免发生建筑施工安全事故,亟需对建筑施工的关键风险实施基于异构物联网远程监控技术进行研究。首先,以异构物联网络为基础,构建包含感知层、网络层、平台层与应用层的异构物联网远程监控总体架构;其次,根据事故致因理论,确定由高处作业、环境、设备、防护、组织与工人等风险指标组成的关键风险监控指标体系,并依据各指标在异构物联网络数据中提取建筑施工关键风险特征,组成异构物联网的建筑施工关键风险特征集;最后,利用粗糙集RS理论与支持向量机SVM方法构建RS-SVM风险监控模型。某建筑施工项目的应用结果表明,该模型数据传输时延小于0.2 s,监测准确性可达98.6%,表现出优异的实时性和准确性。To ensure the smooth progress of construction and avoid construction safety accidents,it is urgent to implement remote monitoring of key risks in construction based on heterogeneous IoT.Firstly,based on the heterogeneous IoT network,an overall architecture for remote monitoring of heterogeneous IoT is constructed,which includes perception layer,network layer,platform layer,and application layer.Secondly,based on the theory of accident causation,a key risk monitoring indicator system consisting of risk indicators such as high-altitude operations,environment,equipment,protection,organization,and workers is determined.Based on these indicators,key risk characteristics of construction are extracted from heterogeneous IoT network data to form a set of key risk characteristics of construction in heterogeneous IoT.Finally,an RS-SVM risk monitoring model is constructed using RS theory and SVM method.The experimental results show that the data transmission delay of this method is less than 0.2 seconds with an accuracy of up to 0.986,indicating excellent real-time performance and accuracy.
关 键 词:异构物联网 建筑施工 关键风险 远程监控 RS理论 SVM模型
分 类 号:TU714[建筑科学—建筑技术科学]
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