面向边缘计算的数字化车间制造数据实时融合方法

Edge Computing Oriented Real Time Fusion Method of Digital Workshop Manufacturing Data

针对当前数字化车间制造数据冗余性高、传输协议不一致的问题,提出一种面向边缘计算的车间数据实时融合方法。首先,围绕边缘计算思想,建立基于物联网的车间数据实时采集体系架构;其次,借鉴证据理论,以一致性检测和归一化后的数据为基础,提出互支持度进行证据转换,并引入改进的证据组合规则获得融合数据,减少设备端上传的数据量,减轻传输网络的传输压力;然后,以OPC UA信息模型为基础,构建协议转换所需配置的信息层次结构模型,以可视化配置的形式完成协议转换,为车间数据提供统一的传输接口;最后,以某航天制造车间总线控制台为验证对象,验证了所提方法的有效性。

Aiming at the problems of strong data redundancy and inconsistent transmission protocol in digital manufacturing shop,an edge computing oriented real-time data fusion method is proposed.Firstly,around the idea of edge computing,the Internet of things based real-time workshop data acquisition architecture is established.Secondly,drawing on evidence theory and based on consistency detection and normalized data,the mutual support degree is proposed for evidence transformation,and the improved evidence combination rule is introduced to obtain fusion data,so as to reduce the amount of data uploaded by the device and reduce the transmission pressure of the transmission network.Then,based on the OPC UA information model,the information hierarchy model of the configuration required for protocol transformation is constructed,and the protocol transformation is completed in the form of visual configuration,providing a unified transmission interface for workshop data.Finally,the bus control console in a certain aerospace manufacturing workshop is used to verify the effectiveness of the proposed method.