摘要
针对传统架桥机安全监控模式决策效率低、精度不足的问题,为提高决策效率,确保实时性,提出一种基于端边云协同的施工安全分级决策方法,通过算力下沉构建多层级决策响应机制,将安全决策分级为紧急决策、初级非紧急决策和高级非紧急决策三级,实现差异化风险处置。建立基于任务驱动的响应时延模型,采用遗传-模拟退火算法(GA-SA)求解最优调度方案。为验证该施工安全分级决策方法的工程可行性,依托珠肇高铁江门至珠三角枢纽机场段某千吨级架桥机监控数据,开展系统性评估。结果表明:与端边协同、端云协同模式相比,端边云协同模式下系统综合响应时延分别缩短61.7%、12.32%,其紧急决策时延控制在10 ms内,显著提升了施工安全风险管控的实时性与精准性,为架桥机动态施工提供了高效可行的安全决策方案,具有重要工程参考价值。
To overcome the low efficiency and precision of traditional safety monitoring and decision-making systems for launching gantries,this study proposes a construction safety hierarchical decision-making method based on End-Edge-Cloud Collaboration to enhance decision-making efficiency and ensure real-time responsiveness.A multi-level decision making mechanism is built up via decentralizing computing power,and the safety decisions are classified into three levels:emergency,primary non-emergency,and advanced non-emergency,according to management and control requirements,aiming to achieve differential risk management,establish a task-driven response latency model,and employ a hybrid Genetic Algorithm-Simulated Annealing(GA-SA)approach to optimize the scheduling process.To verify the engineering feasibility of the proposed method,systematic evaluations were conducted using monitoring data from a 1000-ton launching gantry employed on the Jiangmen-Pearl River Delta Hub Airport section of the Zhuhai-Zhaoqing High-speed Railway.Results show that compared with edge-end and end-cloud collaboration modes,the proposed edge-end-cloud collaborative mode reduces the overall system response delay by 61.7%and 12.32%,respectively,and controls emergency decision-making latency within 10 ms,significantly improving construction safety risk management efficiency and showcasing the practical engineering value of the proposed hierarchical safety decision-making method,which offers an effective and applicable safety decision-making plan for the kinetic construction using bridge erection machine.
作者
鲁亦凡
毛伟琦
胡宇轩
周功建
李国军
LU Yifan;MAO Weiqi;HU Yuxuan;ZHOU Gongjian;LI Guojun(Huazhong University of Science and Technology,Wuhan 430074,China;China Railway Major Bridge Engineering Group Co.,Ltd.,Wuhan 430050,China;China Railway Science and Industry Group Co.,Ltd.,Wuhan 430064,China)
出处
《桥梁建设》
北大核心
2025年第6期82-89,共8页
Bridge Construction
基金
国家重点研发计划项目(2023YFC3806800)。
关键词
架桥机
端边云协同
分级决策
响应时延模型
资源分配
任务调度
施工安全
launching gantry
end-edge-cloud collaboration
hierarchical decision-making
response latency model
resource allocation
task scheduling
construction safety
