桥梁检测机器人作业规划与位姿优化方法研究
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TP242.3

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国家自然科学基金项目(61573134,61733004,61601061,61841103)、国家重点研发计划项目(2018YFB1308200)、湖南省科技计划项目(2017XK2102,2018GK2022,2018JJ3079)、湖南省教育厅项目(17C0046)资助


Research on operation planning and position & pose optimization method for bridge inspection robot
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    摘要:

    针对桥梁底部病害人工检测的作业难题,介绍了桥梁检测机器人的工作原理,结合桥梁的结构化特征和视觉检测拍摄参数约束,研究了桥梁检测机器人作业规划与位姿优化方法。首先,提出一种以最佳拍摄模型约束的桥梁检测机器人拍摄作业位姿规划方法。在最佳拍摄规划方法的基础上,针对小箱梁桥梁和T型梁桥梁底部的褶皱结构,研究了以安全拍摄模型为约束的拍摄位姿优化方法,设计了结合拍摄偏角和拍摄距离的权重函数,推导了优化算法公式并给出了收敛证明。通过对不同拍摄参数的配置,进行了针对空心板桥梁的拍摄作业位姿规划方法仿真;针对小箱梁桥梁的结构,在位姿规划仿真结果基础上进行了位姿优化方法的仿真。最后以研制的桥梁检测机器人为对象,进行了现场测试与验证,仿真和实验结果均表明,该规划和优化方法符合桥梁拍摄检测的要求,具有很好的鲁棒性和实时性。

    Abstract:

    Aiming at the operation difficulty of disease manual detection on the bottom of the bridge, the working principle of the bridge inspection robot is introduced. Combined with the structural characteristics of the bridge and the constraints of visual inspection shooting parameters, the operation planning and position & pose optimization method of bridge inspection robot are studied. Firstly, a position and pose planning method for shooting operation of bridge inspection robot with the best shooting model constraint is proposed. Based on the optimal shooting planning method, aiming at the folding structure on the bottom of the small box girder bridge and T beam bridge, a shooting position and pose optimization method with the safety shooting model as constraint is studied. The weight function combining the shooting angle and shooting distance is designed. The optimization algorithm formula is derived and the convergence provement is given. Then, through the configuration of different shooting parameters, the simulation of the shooting operation position and pose planning method for hollow slab bridge is carried out. At the same time, on the basis of the simulation results of the position and pose planning, the simulation of the position and pose optimization method is also carried out. Finally, taking the developed bridge inspection robot as the target, field test and verification were carried out. The simulation and experiment results show that the proposed planning and optimization method meets the requirements of bridge shooting detection, and has good robustness and realtime performance.

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刘理,王耀南,张辉,万智,贾林.桥梁检测机器人作业规划与位姿优化方法研究[J].仪器仪表学报,2019,40(7):147-158

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  • 在线发布日期: 2022-02-17
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