Traditional open-pit face mapping is slow (1–3 days/face), subjective, and lacks predictive capability—leaving risks like weak structures or water conduits undetected. We automate face point cloud processing by normalization and feature extraction via dual-head "Plane+Trace" fusion models, generating design-ready fracture sets/trace maps in ≤2 hours per face. With ≥95% accuracy and real-time rolling data fusion, we build lookahead 3D-DFN models—outputting fracture orientation, risk hotspots, and connectivity indices to enable pre-operations adjustments such as optimizing blasting to avoid slope instability. This shifts geological work from "post-event analysis" to "pre-event prediction": boosting slope safety, improving resource recovery, and cutting costs by 25%+ vs. mainstream software. Our auditable trail (model versions, data lineage) further ensures reliability for safety audits.