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机构地区:[1]河海大学地球科学与工程学院,江苏南京210098
出 处:《西南交通大学学报》2011年第2期247-251,共5页Journal of Southwest Jiaotong University
基 金:国家973计划资助项目(2002CB412707);国家"十一五"科技支撑计划资助项目(2006BAG04B05)
摘 要:为优化大型基础工程的传感器系统,合理选择传感器类型,建立了以传感器系统成本为目标函数,以表决系统可靠度为约束条件的多传感器选型优化模型,并用遗传算法求其最优解.为了考虑安装埋设环境对系统可靠度的影响,提出了环境因素折减因子的概念,给出了它的确定方法,并用该因子对不同环境下传感器的可靠度进行修正.以苏通大桥群桩基础传感器系统设计为例,对该模型进行了验证.结果表明,运用该模型,在保证系统可靠度的前提下,能使系统成本降低9.1%.In order to optimize the sensor system for a large-scale group-pile foundation and properly select sensor types,a multi-sensor optimization model was established,and the genetic algorithm was used to solve this optimal problem.In this model,the cost of the sensor system is set as the objective function,and the reliability of the voting system is taken as the constraint conditions.The reduction coefficient of environmental factor was put forward to consider the influence of sensor installation environment on the system reliability,its determination way was given,and it was used to revise the sensor reliability under different environments.In addition,the sensor system of Sutong bridge foundation was taken as an example to prove the optimization model.The research result shows that with the help of the established model,the cost can be saved 9.1% under the precondition of the system reliability.
分 类 号:TP212[自动化与计算机技术—检测技术与自动化装置] U443.15[自动化与计算机技术—控制科学与工程]
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