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.