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山东大学学报 (工学版) ›› 2023, Vol. 53 ›› Issue (4): 163-172.doi: 10.6040/j.issn.1672-3961.0.2022.020

• 其他 • 上一篇    

挖掘机智能辅助施工系统设计

赵天怀,王目树,潘为刚*,康超,秦石铭,徐飞   

  1. 山东交通学院信息科学与电气工程学院, 山东 济南 250357
  • 发布日期:2023-08-18
  • 作者简介:赵天怀(1994— ),男,山东济宁人,硕士研究生,主要研究方向为嵌入式系统应用与开发. E-mail:zthuai_chn@163.com. *通信作者简介:潘为刚(1980— ),男,山东日照人,教授,博士,硕士生导师,主要研究方向为智能制造与智能驾驶. E-mail:panweigang1980@163.com
  • 基金资助:
    山东省自然科学基金资助项目(ZR2022MF345);山东省重点研发计划(重大科技创新工程)资助项目(2020CXGC010110);山东省交通运输行业重点实验室支持计划资助项目

Design of intelligent auxiliary construction system for excavator

ZHAO Tianhuai, WANG Mushu, PAN Weigang*, KANG Chao, QIN Shiming, XU Fei   

  1. School of Information Science and Electrical Engineering, Shandong Jiaotong University, Jinan 250357, Shandong, China
  • Published:2023-08-18

摘要: 为解决挖掘机施工路径、位置与深度盲目和效率低的问题,设计并实现一种挖掘机辅助施工系统。采用北斗定位接收机、激光测距仪、陀螺仪等传感器对传统挖掘机进行信息化改造。根据挖掘机施工特点,提出基于欧拉图的挖掘机施工路径规划算法,融合遗传算法、原子搜索优化算法和粒子群算法对施工图进行欧拉化处理。根据多传感器信息建立挖掘机三维施工模型,实现挖掘点位置与深度的在线软测量。济南市某施工现场试验结果表明,本研究提出的辅助施工系统路径规划合理,施工位置测量误差小于6 cm,施工深度测量误差小于5 cm。挖掘机智能施工辅助系统可以有效提升施工效率,节省施工成本。

关键词: 挖掘机, 欧拉图, 群智能算法, 路径规划, 辅助施工, 机电一体化

中图分类号: 

  • TH24
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