Abstract: Slope engineering is a key factor affecting production safety in large open-pit coal mines. This study conducts a statistical analysis of the current status and future technical conditions of slope engineering in 20 typical large open-pit coal mines in China, revealing the development trend from medium-high slopes toward ultra-high slopes. It summarizes common issues in slope engineering, including unclear attribute variations and complicated yet independent monitoring methods. This study proposes slope engineering digitalization and integrated monitoring and early warning as the core technical pathway to effectively address these challenges. From the perspectives of digitalization of slope-engineering geological bodies and spatiotemporal attribute modeling in slope engineering, the study analyzes key technologies for slope-engineering digitalization and points out that future breakthroughs will be achieved in semantic consistency between production data and geological models, in digitalization and application of multi-attribute geological spatial data, and in refined reconstruction and dynamic updating of models. The analysis indicates that integrated early warning, advanced prediction, and intelligent decision-making are key directions for the effective utilization of multi-source monitoring data. Future developments in integrated monitoring and early warning technologies will include breakthroughs in autonomous landslide source tracing and causal inference, coordinated inspection and rapid response using unmanned aerial vehicle swarms, and expert systems for emergency decision-making based on large multimodal models. Ultimately, an intelligent disaster-prevention system for slope engineering in large open-pit coal mines will be formed, integrating monitoring, early warning, prediction, and decision-making, thereby enhancing the capability for forward-looking and precise prevention and control of landslide hazards.