关键词: 智能车间, 云架构, 标准语义模型, 复杂事件处理, 数据采集与融合

Abstract: For smart manufacturing,the transformation from the traditional manufacturing workshop to the smart workshop is an inevitable trend in the future.With the large growth of data in the manufacturing workshop,the problems such as too much private protocol data,insufficient data utilization and data not be shared across systems and enterprises are inevitably raised.To solve these above problems,a system of data collection and fusion was developed based on standard semantic model and complex event processing under a cloud architecture,which consisted of a device-end part and a cloud-end part.The device-end was adopted by a distributed structure,in which the data collection was based on OPC-UA for CNC and industrial robotics and QIF for gages data to address too much private protocols.The cloud-end was applied to collect data from each device to solve the problem that data could not be fully utilized and shared.The data was fused in terms of the technology of complex event processing,thus the machining status and production preparation information of the workpiece that were concerned by MES system could be obtained.Meanwhile the system could also friendly assist workers to operate production tasks.Through the validation of the prototype system,the system effectively carried out the above functions and provided reliable data support for the MES system in real time.

Key words: smart workshop, cloud architecture, standard sematic model, complex event processing, data collection and fusion