Railways are the main artery of the national economy and national defense. According to the National Development and Reform Commission's Medium and Long-term Railway Network Plan (Development and Reform Foundation [2016] No. 1536), it is necessary to form a high-speed railway network with eight vertical and eight horizontal main channels as the skeleton, connected by regional connecting lines and supplemented by intercity railways. By 2020, the scale of the high-speed railway network will reach 30,000 kilometers; by 2025, the scale of the high-speed railway network will reach about 38,000 kilometers. A large number of tunnels need to be built in the construction of the high-speed railway network. High-speed railway tunnels are very different from ordinary railway tunnels. They are double-track tunnels. In order to reduce and alleviate the aerodynamic effects encountered by high-speed trains when running in the tunnels, in addition to using sealed vehicles and reducing the cross-sectional area of vehicles, the tunnel must be increased. Effective clearance area, double-track large-section tunnels put forward higher requirements for smooth blasting construction quality. However, the structural effect of rock mass (the rock mass structure makes the tunnel blasting surface uneven, over-excavation and damage, etc.) seriously affects the quality of tunnel smooth blasting construction. This project invented the high-speed railway tunnel ldquo; light-blasting rock mass structural effects rdquo;IECT intelligent control technology including identification (I), evaluation (E), control (C) and their solidification tools (T). Invention point 1: Multiple identification method for structural effects and influencing factors of light-blasting rock mass. After the tunnel blasting, the rock mass structure information of the excavation face can be quickly collected within 15 minutes, and data fusion can be carried out with the tunnel section meter, infrared thermal imaging camera, rebound meter and 3D scanner to establish a geometrically physical model that parametrically describes the rock mass structure., three-dimensional model reconstruction. The ldquo; light blasting rock mass structural effects rdquo; identification method using fine modeling of rock mass structure, blast hole and its charging form, monitoring back analysis, ALE/JH2 numerical simulation, and numerical testing has been invented to establish the correlation between over-excavation, damage and drilling and blasting design and construction. Invention point 2: Quality evaluation system for light blasting rock in high-speed railway tunnels. The 39 main factors affecting the quality of tunnel light explosion are summarized, the tunnel light explosion quality evaluation index system is established, the tunnel light explosion quality level comprehensive index evaluation model and the tunnel light explosion quality projection pursuit level evaluation model are established, and dynamic clustering 5-level classification method is used to give the classification standard for tunnel light explosion quality evaluation indicators. Invention point 3: Intelligent quality control system for light blasting rock in high-speed railway tunnels. The construction principles of tunnel light explosion quality control system are proposed, process quality control technology is introduced into tunnel light explosion quality control, and tunnel light explosion quality control index system and control method are established. Invention point 4: Mobile intelligent evaluation and control platform App for photo-blasting rocks in high-speed railway tunnels. Based on the Android platform design, curing tunnel light explosion quality evaluation system and intelligent control technology, a handheld mobile tunnel light explosion intelligent evaluation and control platform has been developed. Apply ldquo; No. 1 invention point rdquo; to quickly collect data and identify rock mass structural effects rdquo; apply ldquo; second invention point rdquo; evaluate drilling and blasting quality levels; apply ldquo; apply ldquo; third invention point rdquo; propose intelligent control countermeasures; apply ldquo; apply ldquo; fourth invention point rdquo; tool solidification models for rapid application. By applying the technical invention, technicians can evaluate the quality of smooth blasting on site, obtain the current blasting profile quality level in real time and accurately, and use the built-in neural network model to effectively predict the next blasting profile effect and adjust the current design plan in real time. After light blasting, the tunnel is formed regularly, the surface is smooth, close to the requirements of the design profile line, and the preservation rate of blast hole traces is high. After the implementation of smooth blasting control, the quality of smooth blasting in the tunnel has been improved by at least one level, the over-excavation area has been reduced by about 50% on average, and the average linear over-excavation volume has been reduced by more than 35%, which has greatly saved the cost and time of concrete backfilling, and effectively reduced the cost of transportation of muck and significantly reduced the environmental impact caused by the stacking of muck, with an added output value of 1117.3417 million yuan and an added profit of 115.4133 million yuan.