Abstract: Underground engineering projects, including transportation tunnels, water conveyance tunnels, underground powerhouses, and mine roadways, are being constructed on a large scale in China. The quality of surrounding rock mass is a key factor controlling excavation stability and support design, making rapid and reliable rock mass investigation and evaluation essential. However, conventional manual survey methods are often inefficient, hazardous, and strongly dependent on personal experience under complex underground conditions. To address these problems, this study develops an integrated system for rapid surrounding rock quality investigation and intelligent evaluation in underground engineering. The system consists of a mobile survey robot equipped with multi-sensor hardware, including a 3D laser scanning system, high-resolution cameras, a portable digital point-load strength tester, and an infrasound detection device, combined with a remote monitoring and control unit. An intelligent software platform, Rock Survey, is developed to support automatic rock mass structural characterization, quantitative quality classification, rapid stability analysis, over-and under-excavation assessment, and monitoring-based evaluation. The system enables efficient digital documentation of complex rock mass structures, automated in situ acquisition of key mechanical and geophysical parameters, and intelligent evaluation of surrounding rock quality and stability. It provides a safe, efficient, and practical solution for large-scale and high-density investigation tasks in underground engineering construction.