Abstract: The manufacturing and operation maintenance of tunnel boring machines in their entire life cycle have certain limitations. These include a low decisionmaking level and inefficient equipment usage caused by information barriers and limited data value utilization. To address these issues, a new mode of crossdomain data interaction and collaborative decisionmaking is proposed by analyzing the current situation of manufacturing and operation maintenance services and a collaborative decisionmaking architectureis designed as well. The collaborative decisionmaking of the tunnel boring machine with crossdomain big datadriven integration is described in detail, including the selection of equipment design and collaborative production based on the combination of tunnel boring machine operation maintenance data and experience data, a cooperative operation scheme of maintenance based on the integration of design and manufacturing data and multistage equipment operation data, and the operation optimization decisionmaking of tunnel boring machines with crossdomain big datadriven. By integrating and sharing data from various stages of tunnel boring machines and establishing a collaborative decisionmaking mechanism for mutual feedback between tunnel boring machine manufacturing and operation maintenance, the quality and adaptability of equipment manufacturing can be improved. This will ensure the safe and efficient operation of equipment.

Key words: tunnel boring machine, datadriven; crossdomain integration, decision making; manufacturing, operation maintenance, new mode