隧道掘进机经过近2个世纪的发展，其技术性能、可靠性、适应性等方面已日趋成熟，然而针对大埋深隧道、长距离隧道、超大直径隧道、微小直径隧道、地质多变隧道等极端工况，隧道掘进机的适应性及智能化程度仍有待提高。为解决极端工程、复杂项目的建设难题，突破复杂地质对隧道掘进机施工的限制，结合传感技术、大数据、云计算、机器深度学习和先进控制技术等，研发岩土探测和感知、隧道掘进设备智能自主决策掘进及预警等技术，以多模式、多功能、智能化的隧道掘进机技术性能适应复杂隧道工程的要求。本文重点讨论隧道掘进机多模式技术研究及应用、组合功能设想和智能化的专题，特别是岩土感知、设备状态监测与反馈技术的新成果； 指出可以利用先进传感、分析和控制技术实现隧道掘进机施工智能化，做到早感知、大数据研判、智能化控制运维和智能化掘进支护，实现多模式的智能隧道掘进机法施工，让隧道工程施工更好、更快、更安全。

After nearly two centuries of development, the tunnel boring machine (TBM) has become increasingly mature in technical performance, [JP2]reliability, adaptability and other aspects. However, for large deepburied tunnels, long tunnels, largediameter tunnels, microdiameter tunnels, and tunnels in complex geological conditions etc.[KG-*3], the adaptability and intelligentization level of TBMs need to be improved. In order to solve the challenges for tunnel construction in extremely complex geological conditions, and make breakthrough in TBM tunneling in complex geology, technologies such as rock detection and perception, intelligent decisionmaking and early warning technology for equipment need to be developed in combination with sensing technology, big data, cloud computing, machine deep learning, advanced control technology and other technologies, so as to satisfy the requirements of complex tunnel projects with multimode, multifunctional and intelligent technical performance. The author focuses on the research and application of multimode technologies, the concept of integrated functions and intelligentization, especially the new achievements in geotechnical perception, monitoring and feedback of machine condition. It is suggested that the advanced sensing, analysis and control technology can be used to realize intelligent TBM tunneling as well as to achieve early perception, big data research and judgment, intelligent control and operation, and intelligent tunneling support technology.