抑制风力不确定扰动的缆机运行路径鲁棒优化

Robust optimization of cable machine path to suppress wind uncertainty disturbance

不确定性风力易导致缆机垂直运输过程中产生振荡效应,降低施工工效,甚至诱发安全事故。为抑制风力对缆机运行的不确定扰动,分析工期、机械使用效率和空间暴露风险等缆机运行路径优化目标及约束条件,运用鲁棒变换思想,将缆机运行路径规划问题抽象为多目标鲁棒优化模型,并采用交叉熵进化算法求解具有鲁棒性的帕累托前沿及缆机运行路径。案例结果表明,随鲁棒保守度增大,风力等随机性因素的影响不断增强,需要增加工期和降低机械使用效率,使空间暴露风险降低,表明所获得的帕累托前沿能够减小风力等不确定性干扰并满足工期、效率和风险等多目标需求。

Uncertain wind can easily lead to an oscillation effect during vertical transportation of cable cranes, reduce construction efficiency and even induce safety accidents. This paper analyzes the optimization objectives and constraints of the cable crane operation path, such as construction period, mechanical efficiency, and space exposure risk to suppress the uncertain disturbance of wind on the operation of the cable crane. Aiming at the problems of multi-objective demand and wind uncertainty in the operation of cable crane buckets, a method of multi-objective robust optimization for the transportation path of cable crane buckets is proposed. Using the idea of robust transformation, the cable crane operation path planning problem is abstracted as a multi-objective robust optimization model. To reduce the conservatism of the robust model, a robust measure is introduced to characterize the characteristics of wind uncertainty factors in the operation of a cable crane bucket. The cross-entropy evolutionary algorithm is used to solve the robust Pareto front and cable crane operation path. The results of multi-objective robust optimization and single objective robust optimization are compared and analyzed. The case results show that with the increase of robust conservatism, the influence of random factors such as wind force increases. Increasing the construction period and reducing the use efficiency of machinery is needed to lower the risk of space exposure. It also shows that the obtained Pareto front can lessen the uncertain interference such as wind force;On the premise of multi-objective robust optimization, the evaluation values of the construction period, machinery use efficiency, and space exposure risk are respectively lower than those in the case of single-objective optimization, but multi-objective robust optimization can effectively weigh the benefits including construction period, machinery use efficiency and space exposure risk, rather than pursuing simply the optimization, which provides an objective basis for cable crane operation.