Jinsong Liu

With the accelerated integration of the new generation information technology and manufacturing industry, the performance of production equipment continues to be optimized, evolved and upgraded iteratively. The production equipment model presents a multi-dimensional, multi-level, full life cycle integration development trend, which has become the key to improve the innovative capability and digital management level of production equipment. Aiming at the problems of multiple types of production equipment models, such as complex structure, difficult integration and low application efficiency, this study analyzed the relationship and interaction mechanism among production equipment models from the perspectives of life cycle, hierarchical structure and multi-dimension, and built a production equipment model architecture. Based on the model architecture of production equipment, a general multi-dimensional fusion framework of production equipment models was proposed, which takes the mechanism model as the core. This study can provide reference for the construction, integration and application of production equipment models.

The problems of CNC machine tool (CNCMT) fault diagnosis and production rescheduling have attracted continuous attention because of their great significance to the manufacturing industry. Digital twin is a supporting technology for achieving smart manufacturing and provides a new paradigm for solving these problems. This paper explores a digital twin-driven interaction and cooperation framework and proposes the architecture and implementation mechanism to enable the sharing of data, knowledge, and resource, to realize the fusion of physical space and cyber space, and to improve the accuracy of fault diagnosis. Under this framework, aiming at the influence of CNCMT failure on the initial production planning, a self-adaptation rescheduling method based on Monte Carlo Tree Search (MCTS) algorithm is proposed to provide support for developing more efficient production planning. Finally, the effectiveness of the proposed framework is validated by experimental study. The framework and integrated rescheduling approach can provide guidance for enterprises in implementing CNCMT maintenance and production scheduling to meet high accuracy and reliability requirements.