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作 者:边琳丽[1] 刘泽惠[1] 李琦 BIAN Linli;LIU Zehui;LI Qi(School of Management,Yulin University,Yulin shaanxi 719000,China;National Energy Group Shendong Coal Group Co.,Ltd,Yulin shaanxi 719300,China)
机构地区:[1]榆林学院,陕西榆林719000 [2]国家能源集团神东煤炭集团,陕西榆林719300
出 处:《自动化与仪器仪表》2021年第12期167-171,共5页Automation & Instrumentation
基 金:陕西省教育厅教改项目“应用型高校商科专业实践教学体系构建的研究与探索”(19BY119)。
摘 要:为提高财务的智能化水平,提出一种基于反馈神经网络的财务服务机器人。为实现该机器人,首先从功能和用户的角度搭建系统整体框架;其次,从驱动、传感器、底层控制等部分对系统硬件进行设计,从数据转发、云服务器和人机交互部分完成系统软件设计;结合机器人运动学原理,通过反馈神经网络实现机器人手臂的控制,最后通过仿真对上述方案进行验证。结果证明,本研究设计的财务服务机器人可正常运行且机器人可通过控制器实现对机械臂的规划控制。In view of the financial management under the new medical reform environment,in order to realize the hospital intelligent finance and promote the financial to digital and intelligent transformation,based on the feedback neural network,the paper mainly designs and studies the hardware system,software system and mechanical system of the hospital financial service robot.Firstly,according to the functions and users of the hospital financial service robot,the overall framework of the system is built;secondly,the hardware design of the system is completed from the driver part,the sensor part and the bottom control part;then,the system software design is completed through the design of the data forwarding part,cloud server part and human-computer interaction part;finally,the feedback neural network is used to implement the system Human arm control,complete the mechanical system design of the system.Through the simulation experiment,the design system is tested.The results show that the hardware and software system of the hospital financial service robot designed in this study can run normally,and the robot can control the manipulator through the controller.
分 类 号:TP392[自动化与计算机技术—计算机应用技术]
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