Intelligent Maintenance of Shield Tunelling Machine based on Knowledge Graph

Shield tunnelling machine is a giant engineering equipment working deep under the ground, whose maintenance is significant in ensuring the continually operation of the machine. However, the traditional regular maintenance by engineers takes long time and plenty of people. In this case, a more intelligent maintenance method is required. To fill this gap, this paper proposes an intelligent maintenance method based on knowledge graph, which captures and reuse the knowledge generated during maintenance process in order to intelligently recommend solutions for maintenance tasks. This method includes three stages, creating knowledge representation model, building knowledge graph, developing collaborative knowledge management system for implementation. A case study on a specific shield tunnelling machine is demonstrated in this paper, with results showing the feasibility and effectiveness of this method.