基于无线网络的云医疗机器人系统仿真

doi:10.3969/j.issn.1006-2475.2014.12.017

计算机与现代化

基于无线网络的云医疗机器人系统仿真

(1.日照职业技术学院，山东日照 276826; 2.山东科技大学信息科学与工程学院，山东青岛 266590)

收稿日期:2014-09-28 出版日期:2014-12-22 发布日期:2014-12-22
作者简介:王晓琳(1971-)，女，山东日照人，日照职业技术学院讲师，研究方向：计算机网络及应用; 樊建聪(1977-)，男，山东青岛人，山东科技大学信息科学与工程学院副教授，研究方向：机器学习与数据挖掘，演化计算，海量信息处理。

Simulation of Cloud Medical Robotic System Based on Wireless Network

(1. Rizhao Polytechnic, Rizhao 276826, China;
2. College of Information Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China)

Received:2014-09-28 Online:2014-12-22 Published:2014-12-22

摘要/Abstract

摘要： 医疗机器人是一门集医学、仿生学、机械力学、材料学、计算机科学、运筹学、机器人学等学科于一体的新兴交叉学科。随着传感器技术、通信设备，尤其是云计算的发展，云医疗机器人应运而生。一个云医疗机器人只需要少量的硬件和软件配置，它所需的大部分资源和计算过程由连接的云端提供。云医疗机器人从计算或者资源配置密集型转化为效率和功能密集型，从而可以更高效地完成复杂任务。本文设计一种云医疗机器人系统平台，该平台由医疗云平台层和远程云机器人层组成。以系统平台为基础，利用无线网络技术设计2个云医疗机器人系统案例，并进行仿真。仿真结果表明，云医疗机器人系统具有效率高、成本低和应用性强等特点。

关键词: 医疗机器人, 云计算, 云医疗机器人系统, 效率和功能密集型, 无线网络技术

Abstract: Medical robot is an emerging interdisciplinary which contains medicine, bionics, mechanics, materials science, computer science, operations research, robotics and other disciplines. It is mainly used in the patient's surgery, rescue, transportation and rehabilitation. The study and design of cloud robotics become essential trends with the technological developments of sensors, actuators, communication devices, and especially cloud computing. A cloud robot only has light-weight hardware and software configurations, which can offload computation-intensive tasks to be executed in remote cloud. The cloud medical robot transforms the intensive allocation of calculation or resources into intensive efficiency and functions, which can complete complex tasks more efficiently. In this paper, a cloud medical robotic system is constructed. The system consists of medical cloud platform layer and remote cloud robot layer. On the basis of system platform, we design two cloud medical robot systems using the wireless network technology. The simulation results show that the cloud medical robot system is of the characteristics of high efficiency and low cost.

Key words: medical robotics, cloud computing, system of cloud medical robotics, efficiency and functionality intensively, wireless network technology

中图分类号:

TP391

王晓琳1，樊建聪2. 基于无线网络的云医疗机器人系统仿真[J]. 计算机与现代化, doi: 10.3969/j.issn.1006-2475.2014.12.017.

WANG Xiao-lin1, FAN Jian-cong2. Simulation of Cloud Medical Robotic System Based on Wireless Network[J]. Computer and Modernization, doi: 10.3969/j.issn.1006-2475.2014.12.017.

参考文献

[1] Meng Cai, Wang Tianmiao, Chou Wusheng, et al. Remote surgery case: Robot-assisted teleneurosurgery[C]// Proceedings of the 2004 IEEE International Conference on Robotics and Automation. 2004,1:819-823.

[2] Armbrust M, Fox A, Griffith R, et al. A view of cloud computing[J]. Communications of the ACM, 2010,53(4):50-58.

[3] Dario P, Guglielmelli E, Allotta B, et al. Robotics for medical applications[J]. IEEE Robotics & Automation Magazine, 1996,3(3):44-56.

[4] Sanchez L A, Le Minh-Quy, Rabenorosoa K, et al. A case study of safety in the design of surgical robots: The ARAKNES platform[C]// Proceedings of the 12th International Conference on Intelligent Autonomous Systems (IAS-12). 2012,2:121-130.

[5] Teng Chia-Chi, Mitchell J, Walker C, et al. A medical image archive solution in the cloud[C]// Proceedings of the 2010 IEEE International Conference on Software Engineering and Service Sciences (ICSESS). 2010:431-434.

[6] Guizzo E. Robots with Their Heads in the Clouds[DB/OL]. http://spectrum.ieee.org/robotics/humanoids/robots-with-their-heads-in-the-clouds, 2011-02-28.

[7] Hu Guoqiang, Tay W P, Wen Yonggang. Cloud robotics: Architecture, challenges and applications[J]. IEEE Network, 2012,26(3):21-28.

[8] Quintas J, Menezes P, Dias J. Cloud robotics: Towards context aware robotic networks[C]// Proceedings of the 2nd IASTED International Conference on Robotics. 2011:420-427.

[9] Goldberg K, Kehoe B. Cloud Robotics and Automation: A Survey of Related Work[R]. Technical Report UCB/EECS 2013-5, University of California, 2013.

[10] Ren Fu-ji. Robotics cloud and robotics school[C]// Proceedings of the 7th IEEE International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE). 2011:1-8.

[11] Du Zhihui, Yang Weiqiang, Chen Yinong, et al. Design of a robot cloud center[C]// Proceedings of the 10th IEEE International Symposium on Autonomous Decentralized Systems (ISADS). 2011:269-275.

[12] Guizzo E, Deyle T. Robotics trends for 2012[J]. IEEE Robotics & Automation Magazine, 2012,19(1):119-123.

[13] Agostinho L, Olivi L, Feliciano G, et al. A cloud computing environment for supporting networked robotics applications[C]// Proceedings of the 9th IEEE International Conference on Dependable, Autonomic and Secure Computing (DASC). 2011:1110-1116.

[14] Kato Y, Izui T, Tsuchiya Y, et al. RSi-cloud for integrating robot services with internet services[C]// Proceedings of the 37th Annual Conference on IEEE Industrial Electronics Society. 2011:2158-2163.

[15] Kehoe B, Berenson D, Goldberg K. Toward cloud-based grasping with uncertainty in shape: Estimating lower bounds on achieving force closure with zero-slip push grasps[C]// Proceedings of the 2012 IEEE International Conference on Robotics and Automation (ICRA). 2012:576-583.

[16] Waibel M, Beetz M, Civera J, et al. RoboEarth: A world wide Web for robots[J]. IEEE Robotics & Automation Magazine, 2011,18(2):69-82.

[17] Voorsluys W, Broberg J, Buyya R. Introduction to cloud computing[M]// Cloud Computing: Principles and Paradigms. New York, USA: Wiley Press, 2011:1-44.

基于无线网络的云医疗机器人系统仿真

Simulation of Cloud Medical Robotic System Based on Wireless Network

可视化

被引次数

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

[1]	何玉鹏, 陶勇, 王必恒, 赵英男. 智能配电网边缘计算研究现状与展望[J]. 计算机与现代化, 2023, 0(08): 87-92.
[2]	杨波, 徐胜超. 基于SRv6服务链的云网专线场景安全防护方法[J]. 计算机与现代化, 2023, 0(08): 107-111.
[3]	毛明扬, 徐胜超. 可信赖云计算的通信终端攻击行为识别算法[J]. 计算机与现代化, 2022, 0(11): 37-42.
[4]	曹禹, 李晓辉, 刘忠麟, 贾贺, 费志伟. 云环境大数据工作流编排管理系统研究综述[J]. 计算机与现代化, 2022, 0(01): 41-53.
[5]	张晓敏. 基于布隆过滤器属性基的多关键词可搜索方案[J]. 计算机与现代化, 2021, 0(08): 104-111.
[6]	邓斌涛, 徐胜超. 基于动态双子种群的差分进化K中心点聚类算法[J]. 计算机与现代化, 2021, 0(07): 54-59.
[7]	吴君才, 刘雪芳. 基于云计算和深度信念网络的数字资源配置[J]. 计算机与现代化, 2021, 0(05): 78-82.
[8]	陆歌皓, 杨丹妮. 区块链即服务的发展现状与展望[J]. 计算机与现代化, 2020, 0(10): 31-35.
[9]	梁慈1,陈世平2. 基于包簇映射架构的包漂移策略研究[J]. 计算机与现代化, 2019, 0(11): 112-.
[10]	丁顺1,陈世平2. 基于包簇映射机制的实验平台建设及应用[J]. 计算机与现代化, 2019, 0(11): 120-.
[11]	文婷婷,李洪赭. 面向云服务平台的弹性负载均衡算法[J]. 计算机与现代化, 2019, 0(10): 28-.
[12]	袁敏夫，李引，陈胜俭，郑翔蔚. 基于云平台的区块链组网方案及数据共享存储机制[J]. 计算机与现代化, 2019, 0(09): 46-.
[13]	王少强,王宇. 基于边缘计算的新型数据处理系统[J]. 计算机与现代化, 2019, 0(07): 15-.
[14]	周博1，李亚琼1，刘永波1，李守超1，宋云奎2. 面向云计算的期限约束的MapReduce作业调度方法[J]. 计算机与现代化, 2018, 0(11): 51-.
[15]	王旭1,2，倪宏2，韩锐2. 基于拍卖的数据中心资源匹配算法[J]. 计算机与现代化, 2018, 0(10): 114-.