Railways are the lifelines of the national economy and defense. According to the 'Medium and Long-term Railway Network Plan' (Development and Reform Foundation [2016] No. 1536) issued by the National Development and Reform Commission, a high-speed railway network should be formed with the 'Eight Verticals and Eight Horizontals' main channels as the framework, regional connecting lines for connection, and intercity railways for supplementation. By 2020, the scale of the high-speed railway network will reach 30,000 kilometers; by 2025, it will reach about 38,000 kilometers. A large number of tunnels will need to be constructed during the construction of the high-speed railway network. High-speed railway tunnels are significantly different from ordinary railway tunnels, being double-track tunnels. To reduce and alleviate the aerodynamic effects encountered by high-speed trains during operation in tunnels, in addition to using sealed vehicles and reducing the vehicle's cross-sectional area, it is necessary to increase the effective net area of the tunnel. Double-track large-section tunnels pose higher requirements for the quality of smooth blasting construction. The rock mass structure effect (where the rock mass structure causes uneven tunnel blasting surfaces, over-excavation and under-excavation, and damage) severely affects the quality of tunnel light blasting construction. This project has invented a high-speed railway tunnel 'Light Blasting Rock Mass Structure Effect' IECT intelligent control technology that includes identification (I), evaluation (E), control (C), and their solidification tools (T). The first invention point is a multi-factor recognition method for the light blasting rock mass structure effect and its influencing factors. After the tunnel blasting, it can quickly collect information on the rock mass structure at the excavation surface within 15 minutes. Combined with data fusion using a tunnel cross-section meter, infrared thermal imager, rebound hammer, and 3D scanner, a parametric description of the rock mass structure's geometric-physical model is established to reconstruct the three-dimensional model. An invention has been made for fine modeling, monitoring, and reverse analysis using the rock mass structure, boreholes, and their explosive forms. The 'light blasting rock mass structure effect' identification method in ALE/JH2 numerical simulation and numerical experiments is established to correlate over-excavation, under-excavation, damage with drilling and blasting design and construction. The second invention point: High-speed railway tunnel light blasting rock quality evaluation system. It summarizes 39 main factors affecting tunnel light blasting quality, establishes a tunnel light blasting quality evaluation index system, and constructs two evaluation models: a tunnel light blasting quality grade comprehensive index evaluation model and a tunnel light blasting quality projection tracking grade evaluation model. The dynamic clustering 5-level classification method is adopted to provide the grading standards for tunnel light blasting quality evaluation indicators. The third invention point: High-speed railway tunnel light blasting rock quality intelligent control system. It proposes the construction principles of the tunnel light blasting quality control system and introduces process quality control technology into the tunnel light blasting quality control. A tunnel blasting quality control index system and method have been established. The fourth invention point: a mobile intelligent evaluation and control platform App for the rock blasting of high-speed railway tunnels using light blasting. Based on the Android platform, it solidifies the tunnel blasting quality evaluation system and intelligent control technology, and develops a handheld mobile tunnel blasting intelligent evaluation and control platform. The application of 'the first invention point' quickly collects data to identify 'rock mass structure effects'; the application of 'the second invention point' evaluates the drilling and blasting quality level; the application of 'the third invention point' proposes intelligent control countermeasures; Apply the 'Fourth Invention Point' tool to solidify models and quickly apply them. With this technical invention, technicians can evaluate the quality of smooth blasting on-site, obtain the current blasting profile quality level in real-time and accurately, use the built-in neural network model to effectively predict the next blasting profile effect and make real-time adjustments to the current design scheme. After smooth blasting, the tunnel is formed neatly with a smooth surface, close to the requirements of the design contour line, and the trace of shot holes is preserved at a high rate. After implementing smooth blasting control, the quality of tunnel smooth blasting has been improved by at least one level, the average over-excavation area has decreased by about 50%, and the average linear over-excavation has decreased by more than 35%. This greatly saves the cost and time of concrete backfilling, effectively reduces the cost of slag transportation, significantly lowers the environmental impact caused by slag stacking, and increases new production value by 111,734.17 million yuan. New profit of 11,541.33 million yuan.