To address the challenges of obtaining geological information and the lack of intuitive representation of anomalous structures ahead of a coal mine roadheader during tunneling, this study proposes a method for dynamic visualization of the area ahead of the excavation face. By utilizing the cutting head and a controllable telescoping device as dual excitation sources, the proposed method integrates the dual-source excitation system into the roadheader design. A theoretical model for dual-source excitation apparent resistivity and dynamic detection in the area ahead of the tunneling machine is constructed. The effects of the roadway boundary and the metallic components of the roadheader body on the dual-source-excited electric field are analyzed. The influence of roadheader positioning errors on dynamic ahead detection results is further investigated, and the allowable range of positioning errors is derived. Forward simulation studies are conducted to compare the electric field distributions and apparent resistivity response characteristics of single-excitation source and dual-source excitation systems. By combining regularization constraints with a least-squares inversion algorithm, the imaging performance of dynamic inversion and static single-source inversion for the area ahead is compared and analyzed Enabling the identification of multiple complex geological anomalies. The graphite powder and lime are mixed uniformly at a ratio of 3∶1 to fabricate a simulated coal wall. A simulated cutting arm is designed and prototyped , and a dynamic visualization experimental system for the area ahead is established. The results indicate that this method provides excellent dynamic imaging and visualization performance for both single and multiple anomalies ahead of the excavation face. This study offers a high-precision and highly integrated dynamic visualization scheme for intelligent coal mine tunneling.