期刊文献+

基于PSO、BPNN桥梁运维安全风险可视化控制方法研究

Research on Visual Control Method of Bridge Operation and Maintenance Safety Risk Based on PSO and BPNN
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摘要 山区水文地质条件复杂,桥梁工程运营维护安全影响因素多,呈现随机、不确定性等特点。为了更好地避免由此带来的安全风险,提高山区桥梁运营维护管理水平,文章以张家庄大桥为例进行实证研究,通过收集以往桥梁工程运营维护安全管理信息资料,构建桥梁运营维护管理基础数据库,并运用基于PSO的BPNN算法对桥梁工程运营维护安全进行智能识别与预控;综合运用海恩法则与PDCA管理思想构建桥梁运营维护动态管理模型;运用BIM技术加强桥梁运营维护安全三维动态辅助控制,通过实例验证了该识别与控制模型的可行性。 The hydrogeological conditions of bridge engineering in mountainous areas are complicated, and the operation and maintenance safety is affected by many factors, which are random and uncertain. In order to better avoid the operation and maintenance security risks and improve the operation and maintenance management level of mountain bridges, this paper takes Zhangjiazhuang Bridge as an example to conduct empirical research. By collecting the previous bridge engineering operation and maintenance safety management information, a basic bridge operation and maintenance management database is constructed, and the PSObased BPNN algorithm is used to intelligently identify and pre-control the bridge engineering operation and maintenance safety. The dynamic management model of bridge operation and maintenance is constructed by comprehensively using Hain’s law and PDCA management idea. BIM Technology is used to strengthen the three-dimensional dynamic auxiliary control of bridge operation and maintenance safety. Finally, the feasibility of the identification and control model is verified by an example.
作者 杨伟涛 喇海霞 王秋显 段晓晨 YANG Wei-tao;LA Hai-xia;WANG Qiu-xian;DUAN Xiao-chen
出处 《内蒙古公路与运输》 2022年第4期9-13,24,共6页 Highways & Transportation in Inner Mongolia
基金 河北省自然基金(G2019210226) 河北省交通厅科技项目计划(Y2011083) 河北省博士研究生创新资助项目(CXZZBS2021110)。
关键词 桥梁工程 运营维护 智能控制 BPNN 海恩法则 bridge engineering operation and maintenance intelligent control BPNN Hain’s law
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