生命周期大数据驱动的复杂产品智能制造服务新模式研究

According to the analysis of the current challenges of product lifecycle management (PLM) faced by manufacturing enterprise and the deficiencies of existing manufacturing service paradigms, a new pattern and holistic architecture of lifecycle big-data-driven smart manufacturing service (LCBD-SMS) for the complex product is firstly proposed and designed. Secondly, based upon the product lifecycle, the key technology system and implementation framework of the LCBD-SMS are put forward and elaborated, which included the product and service design based on dynamic production and operation data, the production process analysis and optimization based on real-time and multi-source data and the service-oriented fault evolution analysis and prediction, etc. Through implementation of the above-mentioned architecture and key technologies, the integrated application of the lifecycle data and knowledge can be facilitated effectively. Furthermore, a management and operation mechanism of product lifecycle characterized by the closed-loop and innovation of product design, the real-time optimization of the production process and the dynamic prediction of maintenance service are established. As a result, the ability of smart decision-making for the full manufacturing processes and the whole lifecycle management are enhanced. The proposed technology system and implementation framework could provide a reference model for LCBD-SMS research and application.