The surface and underground conditions of the mountainous areas in Sichuan are extremely complex, which causes low signal-to-noise ratio of seismic data, poor imaging quality of seismic profiles and great difficulty in acquisition construction. In response to these problems, continuous efforts have been made to solve the bottleneck problem, forming a series of supporting technologies and software modules for complex mountain high-density seismic acquisition in recent years. First, the landform risk identification and hierarchical evaluation technology utilizes bidirectional intersection slope and relief amplitude to quantitatively calculate and classify terrain hazard into four levels, providing a data foundation for risk control in acquisition construction. Second, the demonstration technology of acquisition construction plans utilizes automatically quantitative evaluation of construction plans under multiple constraints to quickly seek optimization plan with high efficiency, low investment, and easy execution. Third, the intelligent deployment technology of shot points in complex mountainous utilizes intelligent extraction of obstacles and automatic avoidance of shot points, ensuring safety distance for shooting while also considering the uniformity of spatial sampling. Fourth, the intelligent detection technology for quality control videos of key construction nodes is based on computer vision analysis, which efficiently and intelligently monitors construction safety, evaluates the quality of seismic acquisition drilling and placing explosives. Fifth, the automatic evaluation technology for field seismic data acquired in mountainous regions ensures high-quality acquisition of seismic data through real-time monitoring of single shot data and three-level automatic quality evaluation. Through the application of the above technologies and software, the quality of seismic data in complex mountainous areas of Sichuan has been effectively improved, construction risks have been effectively controlled, and the production efficiency has been greatly improved.