Mobile robot 3D visual monitoring system based on digital twin

doi:10.16731/j.cnki.1671-3133.2024.03.004

Abstract

Abstract: Aiming at the lack of existing research on mobile robot monitoring system and the defects of poor visualization,low transparency and low flexibility of existing monitoring system,a three-dimensional visual monitoring system of mobile robot based on digital twin was proposed.The framework of monitoring system was introduced,based on this,key technologies such as virtual model construction,data acquisition and mapping in the system were elaborated. In order to solve the problem of real-time state mapping,a virtual real-time mapping technology was proposed.Through online acquisition and twin mapping,the real-time information interaction was realized.A prototype three-dimensional visual monitoring system for mobile robot was developed,which proved the effectivity of the proposed system.

Key words: digital twin, 3D visual monitoring, virtual real-time mapping, mobile robot

CLC Number:

TP277

JI Youwang, XIE Naijun, YIN Dongnian. Mobile robot 3D visual monitoring system based on digital twin[J]. Modern Manufacturing Engineering, 2024, 522(3): 23-30.

References

[1] SABRY A H,NORDIN F H,SABRY A H,et al.Fault detection and diagnosis of industrial robot based on power consumption modeling[J].IEEE Transactions on Industrial Electronics,2020,67(9):7929-7940.
[2] NG A H C,ADOLFSSON J,SUNDBERG M,et al.Virtual manufacturing for press line-monitoring and diagnostics[J].International Journal of Machine Tools and Manufacture,2008,48(5):565-575.
[3] 徐建明,潘湘飞.基于Socket通信的工业机器人监控系统研究[J].计算机测量与控制,2017,25(7):70-73.
[4] 张爱民,孔得鹏,王倩.工业机器人的远程监控与诊断系统设计[J].机械,2010,37(10):45-47.
[5] 刘永奎,张霖,刘迎福,等.云制造环境下工业机器人远程监控系统设计与实现[J].系统仿真学报,2023,35(2):318-329.
[6] 冯浩,殷晨波,贾文华,等.挖掘机器人轨迹控制及运动可视化研究[J].计算机集成制造系统,2019,25(2):447-453.
[7] 刘大同,郭凯,王本宽,等.数字孪生技术综述与展望[J].仪器仪表学报,2018,39(11):1-10.
[8] FERGUSON S,BENNETT E.Digital twin tackles design challenges[J].World Pumps,2017,17(4):26-28.
[9] 耿琦琦.基于数字孪生仿真建模的机器人状态监测技术研究[D].重庆:重庆邮电大学,2019.
[10] 杜莹莹,罗映,彭义兵,等.基于数字孪生的工业机器人三维可视化监控[J].计算机集成制造系统,2023,29(6):2130-2138.
[11] 周成,孙恺庭,李江,等.基于数字孪生的车间三维可视化监控系统[J].计算机集成制造系统,2022,28(3):758-768.
[12] 胡伟飞,方健豪,刘飞香,等.基于数字孪生的掘锚一体机实时状态映射[J].湖南大学学报(自然科学版),2022,49(2):1-12.
[13] ARMENDIA M, CUGNON F, BERGLIND L,et al.Evaluation of machine tool digital twin for machining operations in industrial environment[J].Procedia CIRP,2019,82:231-236.
[14] 陶飞,程颖,程江峰,等.数字孪生车间信息物理融合理论与技术[J].计算机集成制造系统,2017,23(8):1603-1611.
[15] 陶飞,刘蔚然,张萌,等.数字孪生五维模型及十大领域应用[J].计算机集成制造系统,2019,25(1):1-18.
[16] 陶飞,刘蔚然,刘检华,等.数字孪生及其应用探索[J].计算机集成制造系统,2018,24(1):1-18.