Abstract: With the accelerated evolution of digital technologies such as big data, cloud computing, and artificial intelligence, the trends of intelligence, informatization, and digitization have become imminent across various domains. Deep earth engineering, as a major strategic scientific and technological issue for the nation, is inevitably poised for intelligent upgrades. However, the complex characteristics of “three highs and one disturbance” in deep rock masses pose some severe challenges to the intelligent transformation of deep earth engineering. In order to achieve an efficient integration of deep earth engineering and digital technology, this study focuses on the intelligent practice path based on “perception, transmission, interpretation, analysis, decision”. The representative research progress in intelligent perception, real-time transmission, information interpretation, data analysis, intelligent decision-making and other fields in underground engineering is systematically reviewed, and the targeted development directions for deep earth engineering intelligent development are proposed, including multi perception, fast response, big data, optimal methods, precise models, strong platforms and easy promotion. Research findings indicate that ① The cutting-edge deep earth engineering perception technologies include fiber optic sensors, MEMS sensors, computer vision, automated robots, etc. After data collection is completed, the real-time response of data is achieved through the wireless communication protocols that combine the advantages of simple configuration, strong fault tolerance, and good mobility, in order to achieve an accurate collection and real-time transmission of deep earth engineering monitoring data. ② Deep earth engineering survey technology yields data types such as images, waves, and point clouds. Numerous models for interpreting and analyzing raw data exist. The application of next-generation artificial intelligence technologies, such as artificial neural networks and deep learning, significantly improves the efficiency of interpretation and analysis. ③ The intelligent decision-making system possesses efficient learning capabilities, adapting to the uncertainty in complex environments through cyclic autonomous learning to provide intelligent solutions for decision-making problems. Currently, China’s policies and industrial systems for the intelligent construction in the deep earth engineering have been essentially established, with a plethora of intelligent construction systems already applied in practical settings. Building upon this foundation, the study envisions the development direction of digital deep earth engineering in four aspects: intelligent collection and information interpretation, surrounding rock evaluation and safety assessment, surrounding rock control and dynamic repair, and platform development and application promotion. Furthermore, a comprehensive evaluation and analysis system for surrounding rock stability of deep earth engineering based on multi-source information is constructed.