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作 者:罗永洪[1] 胡小兵[1] LUO Yonghong;HU Xiaobing(College of Science and Technology,Nanchang University,Nanchang 330029,China)
出 处:《现代电子技术》2020年第22期181-183,186,共4页Modern Electronics Technique
基 金:江西省科技厅科学技术项目(151509)。
摘 要:传统的数控机床存在自动化程度差、系统集成度低的问题,为了提高数控机床的信息资源自动化程度,文中设计资源元数据粒度模型,剔除了机床生产中的冗余信息并提高其控制效率。针对解决数控机床控制难以集成的问题,文中设计基于软PLC的数控机床控制方案。通过硬件与软件分离技术提高自动控制系统的可移植性,实现云端上位机的集中控制。为了验证该方案的可行性,文中建立基于三轴作动器的数控机床验证平台,相比于两种传统方案,该方案耗时减少了50%,能耗更低,且准确性提高了12%以上。The traditional CNC machine tools have low automation and low system integration.In order to improve the degree of automation of information resources of CNC machine tools,a granular model of resource metadata is designed to eliminate the redundant information in the process of machine tool manufacturing and improve the control efficiency.A soft PLCbased CNC machine tool control scheme is designed to solve the problem of difficult integration of CNC machine tool control.The portability of the automatic control system is improved by means of the hardware and software separation technology to achieve the centralized control of the upper computer in the clouds.A three-axis actuator-based CNC machine tool verification platform is established to verify the feasibility of the scheme.The results show that,in comparison with the two traditional solutions,the time consumption of this solution is reduced by 50%,the energy consumption is lower,and the accuracy is improved by more than 12%.
关 键 词:数控机床 自动化生产 系统设计 云制造 粒度模型 自动控制
分 类 号:TN876-34[电子电信—信息与通信工程] TP393[自动化与计算机技术—计算机应用技术]
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