Design and Implementation of Industrial Robot Remote Monitoring System in Cloud Manufacturing

doi:10.16182/j.issn1004731x.joss.21-1015

Abstract

Abstract:

Considering the lack of the existing research on cloud manufacturing monitoring system and the lack of scalability and flexibility of existing remote monitoring system, and taking deep reinforcement learning-based industrial robot intelligent grasping as an application scenario, a micro-service architecture-based remote monitoring system for cloud manufacturing is developed, to carry out the requirement analysis and design of the monitoring system, and the remote monitoring of industrial robot intelligent grasping processes is realized. Test results show that the system can meet the monitoring requirements of resource providers, platform operator(s) and service consumers.

Key words: cloud manufacturing, remote monitoring, intelligent grasping, micro-service, industrial robot

CLC Number:

TP311

Yongkui Liu, Lin Zhang, Yingfu Liu, Jianyong Feng, Bo Yu, Wenbo Niu. Design and Implementation of Industrial Robot Remote Monitoring System in Cloud Manufacturing[J]. Journal of System Simulation, 2023, 35(2): 318-329.

Figures/Tables 13

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References 20

1	李伯虎, 张霖, 王时龙, 等. 云制造——面向服务的网络化制造新模式[J]. 计算机集成制造系统, 2010, 16(1): 1-7.
	Li Bohu, Zhang Lin, Wang Shilong, et al. Cloud Manufacturing: A New Service-oriented Networked Manufacturing Model[J]. Computer Integrated Manufacturing Systems, 2010, 16(1): 1-7.
2	周龙飞, 张霖, 刘永奎. 云制造调度问题研究综述[J]. 计算机集成制造系统, 2017, 23(6): 1147-1166.
	Zhou Longfei, Zhang Lin, Liu Yongkui. Survey on Scheduling Problem in Cloud Manufacturing[J]. Computer Integrated Manufacturing Systems, 2017, 23(6): 1147-1166.
3	周济. 智能制造——"中国制造2025"的主攻方向[J]. 中国机械工程, 2015, 26(17): 2273-2284.
	Zhou Ji. Intelligent Manufacturing—Main Direction of "Made in China 2025"[J]. China Mechanical Engineering, 2015, 26(17): 2273-2284.
4	李伯虎, 柴旭东, 侯宝存, 等. 云制造系统3.0——一种"智能+"时代的新智能制造系统[J]. 计算机集成制造系统, 2019, 25(12): 2997-3012.
	Li Bohu, Chai Xudong, Hou Baocun, et al. Cloud Manufacturing System 3.0——New Intelligent Manufacturing System in Era of "Intelligence+"[J]. Computer Integrated Manufacturing System, 2019, 25(12): 2997-3012.
5	李伯虎, 张霖, 任磊, 等. 云制造典型特征、关键技术与应用[J]. 计算机集成制造系统, 2012, 18(7): 1345-1356.
	Li Bohu, Zhang Lin, Ren Lei, et al. Typical Characteristics, Technologies and Applications of Cloud Manufacturing[J]. Computer Integrated Manufacturing System, 2012, 18(7): 1345-1356.
6	Zhang Y, Zhang G, Liu Y, et al. Research on Services Encapsulation and Virtualization Access Model of Machine for Cloud Manufacturing[J]. Journal of Intelligent Manufacturing(S1572-8145), 2017, 28(5): 1109-1123.
7	Liu Chao, Su Ziwei, Xu Xun, et al. Service-Oriented Industrial Internet of Things Gateway for Cloud Manufacturing[J]. Robotics and Computer-Integrated Manufacturing(S0736-5845), 2022, 73: 3-10.
8	徐建明, 俞俊铭, 董建伟, 等. 基于云平台的机器人监控系统设计[J]. 高技术通讯, 2020, 30(9): 938-948.
	Xu Jianming, Yu Junming, Dong Jianwei, et al. Design of Robot Monitoring System Based on Cloud[J]. High Technology Communications, 2020, 30(9): 938-948.
9	刘永奎, 王力翚, 王曦, 等. 云制造再探讨[J]. 中国机械工程, 2018, 29(18): 2226-2237.
	Liu Yongkui, Wang Lihui, Wang Xi, et al. A Revisit to Cloud Manufacturing[J]. China Mechanical Engineering, 2018, 29(18): 2226-2237.
10	Mei D H, Song Z Y. Research and Application of WSN in Enterprise Safety Manufacture Real-Time Monitoring and Accident Pre-Warning System[J]. Applied Mechanics & Materials(S1660-9336), 2015, 743: 787-791.
11	Otsu K, Fukuda H, Kobayashi Y, et al. Remote Monitoring and Communication System with a Dolllike Robot for the Elderly[C]//IECON 2016-42nd Annual Conference of the IEEE Industrial Electronics Society. Florence, Italy: IEEE, 2016: 5941-5946.
12	Mohan R, Suraj A K, Agarawal S, et al. Design of Robot Monitoring System for Aviation[M]//Nanoelectronics, Circuits and Communication Systems. Springer, Singapore, 2019: 535-547.
13	朱添益, 戴逢哲, 康文, 等. 直流换流站运维监控系统智能机器人设计方法[J]. 电气技术, 2020, 21(2): 22-25.
	Zhu Tianyi, Dai Fengzhe, Kang Wen, et al. Design of Intelligent Robot of Operation Monitoring System in the Direct Current Converter Station[J]. Electrical Technology, 2020, 21(2): 22-25.
14	Lee J, Seo Y H. Design and Development of a Monitoring System Based on Smart Device for Service Robot Applications[J]. International Journal of Internet, Broadcasting and Communication(S2288-4939), 2018, 10(3): 5-10.
15	Kekre A, Gawre S K. Solar Photovoltaic Remote Monitoring System Using IOT[C]//2017International Conference on Recent Innovations in Signal Processing and Embedded Systems(RISE). Bhopal, India: IEEE, 2017: 619-623.
16	台宪青, 吴梦悦, 马玉峰, 等. 数据中心服务器资源监控系统的设计与实现[J]. 计算机应用与软件, 2019, 36(7): 14-20.
	Tai Xianqing, Wu Mengyue, Ma Yufeng, et al. Design and Implementation of Server Resource Monitoring System in Data Center[J]. Computer Applications and Software, 2019, 36(7): 14-20.
17	邓昀, 李朝庆, 程小辉. 基于物联网的智能家居远程无线监控系统设计[J]. 计算机应用, 2017, 37(1): 159-165.
	Deng Yun, Li Chaoqing, Cheng Xiaohui. Design of Remote Wireless Monitoring System for Smart Home Based on Internet of Things[J]. Journal of Computer Applications, 2017, 37(1): 159-165.
18	Perumal T, Sulaiman M N, Leong C Y. Internet of Things(IoT) Enabled Water Monitoring System[C]//2015 IEEE 4th Global Conference on Consumer Electronics (GCCE). Osaka, Japan, IEEE, 2015: 86-87.
19	刘开, 徐宣国. 云制造系统中制造信息监控的框架设计[J]. 电子设计工程, 2016, 24(7): 104-106.
	Liu Kai, Xu Xuanguo. Design on the Monitoring Frames of Manufacturing Information in the System of Cloud Manufacturing[J]. Electronic Design Engineering, 2016, 24(7): 104-106.
20	Garcia F, Rachelson E. Markov Decision Processes[M]//Sigaud, Olivier, Buffet, Olivier. Markov Decision Processes in Artificial Intelligence. London: Wiley, 2013: 1-38.

用例说明	测试预期结果
能否选择算法并设定参数	算法选择成功
能否正确调用在线训练算法	算法调用成功
能否接收算法输出结果	输出正确
算法输出的图片能否上传	上传成功

响应时间/s	评价
≤2	响应速度快
(2~5]	响应速度较快
(5~8]	响应速度较慢
>8	响应速度过慢

[1]	Yongkui Liu, Ming Zeng, Lin Zhang, Jinwei Guo, Siyang Yuan, Yaoyao Ping. Design and Development of a Simulation System for Scheduling in Cloud Manufacturing Based on Microservice Architecture [J]. Journal of System Simulation, 2022, 34(4): 700-711.
[2]	Ding Yufeng, Min Xinpu. Force/position Hybrid Control Method for Surface Parts Polishing Robot [J]. Journal of System Simulation, 2020, 32(5): 817-825.
[3]	Feng Chenwei, Wang Yan. Parallel Tasks Optimization Scheduling in Cloud Manufacturing System [J]. Journal of System Simulation, 2019, 31(12): 2626-2635.
[4]	Gong Chikun, Sun Yinghui, Yuan Lipeng. Study on Application of Hybrid Optimization Algorithm in Parameters Optimization of Manipulator [J]. Journal of System Simulation, 2018, 30(1): 105-113.
[5]	Yang Chen, Wang Zhongjie, Liu Zhaohui, Yu Nana. Research and Application of Cloud Manufacturing Service Platform for Crane [J]. Journal of System Simulation, 2017, 29(6): 1351-1358.
[6]	Geng Chao, Qu Shiyou, Xiao Yingying, Shi Guoqiang, Lin Tingyu, Guo Liqin, Wang Xiaowei. Cloud Manufacturing Resource Discovery Method Based on EAV Model and Solr [J]. Journal of System Simulation, 2017, 29(10): 2496-2506.
[7]	Xiao Yingying, Li Bohu, Chai Xudong, Gong Jing. Research on the Formalization Description method of Manufacturing Capability Service in Cloud Manufacturing [J]. Journal of System Simulation, 2015, 27(9): 2096-2107.