(1) Comprehensive investigation and interpretation of engineering geological environment information of railway tunnel is the basis and premise of tunnel design and construction. According to the asynchronism and contradiction of different structured information, the feature recognition methods of structured, semi-structured and unstructured information are proposed to avoid conflicts and contradictions in the process of complex data fusion analysis, and a multi-source heterogeneous information base representing tunnel geological information is established. The theory and method of "information formatting-deep excavation-fusion analysis" tunnel multi-source heterogeneous information fusion analysis are established, which provides theoretical basis and refined geological support for tunnel intelligent survey, design, construction and management.
(2) Automatic classification of surrounding rocks, optimization of blasting parameters and selection of design parameters. The theory and technology of intelligent tunnel construction and the long-term safety and stability of the tunnel require in-depth analysis of the synergistic mechanism of tooling, surrounding rock and supporting structure in the construction process. The dynamic coupling model of "machinery-surrounding rock-support" is studied, the limit deformation value satisfying the engineering safety is given, the load effect analysis model based on the stability of surrounding rock structure of deep and shallow tunnels is established, the calculation formula of surrounding rock pressure is derived, and the calculation methods of predicted load, basic load and structural support load are determined. Based on artificial intelligence matching technology, an intelligent dynamic optimization and selection system of design parameters is established. According to the evaluation results of tunnel surrounding rock, the design of tunnel drilling and blasting and supporting structure are adjusted adaptively, and the blasting design parameters, supporting structure types and parameters are determined. Improve the independent adaptability of support design to surrounding rock under the condition of intelligent construction equipment, and provide scientific basis for efficient construction.
(3) Real-time perception and dynamic control technology of construction state of railway tunnel-type spectral intelligent equipment. In the process of mechanical equipment construction, a large number of all kinds of data will be collected. Based on big data mining technology, the correlation law between tunnel construction parameters and equipment faults is studied, and a remote online monitoring and diagnosis method of intelligent construction equipment faults is proposed. Realize the perception, identification and automatic regulation of construction fault state, and establish a real-time perception and dynamic regulation system of construction state of "geological intelligent evaluation-adaptive design-intelligent equipment operation-process dynamic regulation-fault real-time feedback".
(4) Adaptive control theory of intelligent construction of railway tunnel The whole life cycle of intelligent construction of railway tunnel is a dynamic process. The design method of adaptive control system matching with the intelligent construction of railway tunnel is put forward, and the performance of various adaptive control algorithms is compared, which is applied to the automatic control of mechanical equipment, the transmission and processing of monitoring and measurement data, the fusion analysis of multi-source heterogeneous information, and the performance comparison and adaptation of various building materials. (5) The "ground-tunnel-machine-letter-people" intelligent construction collaborative management and visual remote control system adopts computer AI, VR and BIM information technologies to build a three-dimensional tunnel and surrounding rock environment information model, and develop a smart tunnel construction basic platform that can realize information storage and query, three-dimensional visualization, engineering hydrogeology information reproduction, real-time feedback of design and construction monitoring data and real-time perception of safety risks. Take mechanization, informationization, man-machine combination and so on as the goal.