Against the backdrop of large-scale national transportation infrastructure development, tunnels have become one of the infrastructure types with the highest investment intensity, greatest risk factors, and longest operation and maintenance cycles in highway, railway, and subway projects. Tunnel engineering spans three phases—design, construction, and operation and maintenance—and involves multiple disciplines, including geology, structural engineering, electromechanical systems, monitoring, and safety. Although the industry has undergone initial digital transformation, it remains, on the whole, in a stage characterized by “disjointed information systems, data silos, and discontinuities.” Consequently, decision-making in tunnel construction still relies heavily on experience. By focusing on the entire lifecycle of tunnel construction—including design, construction, equipment, and operations and maintenance—we are building a new business model characterized by “data-driven approaches, human-machine collaboration, business integration, and end-to-end connectivity.” Leveraging large language models to directly empower business operations, we are gradually developing the “Tunnel Intelligence Hub,” a comprehensive tunnel construction solution based on multi-agent collaboration.