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基于RFID技术的离散制造车间实时数据采集与可视化监控方法 被引量:68

Radio frequency identification-based real-time data collecting and visual monitoring for discrete manufacturing workshop
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摘要 为提高离散制造车间多品种、小批量生产过程的透明度和生产决策制定的实时性,提出一种基于无线射频识别技术的离散制造车间实时数据采集和可视化监控方法。在提出4种典型无线射频识别监控模式的基础上,揭示了离散制造车间中无线射频识别技术应用的本质,为无线射频识别配置提供指导。设计了一种事件驱动的无线射频识别数据采集单元模型,用于采集零件的状态、事件、时间、质量等实时信息;基于该模型依次建立了加工工序、工序流、批次与批量的无线射频识别监控模型,实现了对离散制造车间生产过程的可视化监控;提出一种无线射频识别数据处理方法,为车间可视化监控提供了业务逻辑信息。设计了基于无线射频识别的车间数据采集与监控系统的功能架构,并开发了相应的原型系统,通过简单的案例验证了所提方法和模型的可行性。 To enhance the transparency of multiple varieties and small batch production and the real time of production decision making for Discrete Manufacturing Workshops(DMW),a data collecting and visual monitoring solution based on Radio Frequency Identification(RFID)was proposed.The nature of RFID applications in DMW was revealed on the basis of proposing four typical RFID monitoring modes,which could provide technical supports for RFID configuration.Besides,an event driven RFID data capturing model unit was established,which could be used for collecting real-time data such as state,event,time and quality.Based on the model unit,the monitoring models for process,process flow,batch and division were built up successively,which facilitated the visual monitoring for DMW.A data processing method was present to provide logical business information.A software prototype system was developed and its functional framework was designed.Based on a simply case,the feasibility of the proposed models and methods were illustrated.
作者 曹伟 江平宇 江开勇 路平 CAO Wei j IANG Pingyu JIANG Kaiyong LU Ping(Fujian Provincial Key Laboratory of Special Energy Manufacturing, Xiamen Key Laboratory of Digital Vision Measurement, H uaqiao University, Xiamen 361021, China State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an 710054, China)
出处 《计算机集成制造系统》 EI CSCD 北大核心 2017年第2期273-284,共12页 Computer Integrated Manufacturing Systems
基金 国家自然科学基金资助项目(51405167 51275396 51305144)~~
关键词 无线射频识别 离散制造车间 数据采集 可视化监控 配置 radio frequency identification discrete manufacturing workshops data collecting visual monitoring configuration
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