关键词: 产线集群, 设备综合效率, 精准在线监测, 工业大数据

Abstract: The nature of the production capacity and the equipment efficiency in the product-oriented manufacturing workshop provides great insights about the study of reducing the costs and increasing the competitiveness,which draws the focus of the researchers at home and abroad.Consequently,facing with the characteristic of the equipment intensive production line cluster in a general way,the Overall Equipment Effectiveness (OEE)accurate online monitoring was taken as the goal,the detailed feature factors and the characteristic spaces on the Surface Mounted Technology (SMT) production lines OEE calculation was critical reviewed and analyzed.Additionally,the shutdown type pattern recognition method based on the Synthetic Minority Oversampling Technique-Multilayer Perceptron (SMOTE-MLP) classification algorithm was constructed,which abandoned the traditional offline statistical calculation and provided a possibility for the online and real-time calculation of the availability rate,the performance rate,the quality rate and the OEE.Combined with the development trend of the intelligent manufacturing,arguing for the industrial big data-driven,equipment-intensive production line cluster OEE accurate online monitoring theory and method were proposed,which expected to contribute to the future research for the related work.

Key words: production line cluster, overall equipment effectiveness, accurate online monitoring, industrial big data