Study on data collection in production system based on key-node model

Abstract

The poor data integration, low data accuracy and real-time capability are becoming the main problems for current production system, which could also result in inadaptability to intelligent production systems in the future. Via studying on the data sets collected in critical moment, a key-node data model is proposed. The model achieves the effective integration of static and dynamic resource information in workshop based on a unified data structure. It improves the data integration, accuracy and real-time capability and well supports the visual monitoring of production systems. Finally, with a Beijing resistance company as the background, the feasibility and effectiveness of the key-node data model is verified.