Deep seismic reflection cannon single-coverage profiling, evolved from hydrocarbon exploration, has been widely used since the mid-20th century to study deep continental and marine structures. Traditional multi-fold stacking techniques, however, face significant challenges in complex tectonic environments due to severe signal attenuation and cumulative static correction errors exceeding two and a half kilometers. To address these limitations, the Large-charge Single-fold Deep Seismic Reflection Profiling technique employs high-energy explosive charges and extended receiver arrays to implement single-fold acquisition. This approach effectively mitigates signal decay and static error accumulation, achieving a twenty percent improvement in crustal imaging resolution and a forty percent reduction in static correction errors compared to conventional methods.The methodology encompasses fundamental wavefield excitation principles, instrumental innovations, acquisition parameter optimization, and advanced data processing workflows. Controlled detonation of large-charge sources generates broadband wavefields penetrating beyond fifty kilometers, while broadband three-component seismometers operating across a wide frequency spectrum maximize signal fidelity. Acquisition parameters such as shot spacing and temporal sampling are refined through ray-tracing simulations to balance resolution and penetration depth. Data processing integrates nonlinear static correction, adaptive noise suppression, high-precision velocity modeling, and amplitude-preserving migration to deliver enhanced imaging accuracy. Case studies across tectonically diverse regions validate the technique's effectiveness. In the eastern Qinghai-Xizang Plateau, it successfully traced Moho discontinuities and subduction morphologies with two kilometer vertical resolution, revealing complex slab rollback patterns linked to the India-Eurasia collision. Within the North China Craton, the technique precisely delineated deep-seated fault systems extending from the Moho to the lithosphere-asthenosphere boundary, directly correlating with Mesozoic mineralization events. In the Bohai Bay Basin, it identified mantle delamination associated with hydrocarbon reservoirs, fundamentally transforming basin evolution models. These applications demonstrate its critical value in resolving orogenic evolution, Moho morphology, deep fault systems, and seismic mechanisms, with profound implications for geodynamics, resource exploration, and seismic hazard mitigation.Despite its achievements, the technique encounters persistent challenges in energy penetration efficiency—where signal loss exceeds sixty percent at Moho depths—and noise suppression under low signal-to-noise ratio conditions. Future development should prioritize AI-driven acquisition systems with real-time adaptation, integration of gravity, magnetic, and magnetotelluric data for multi-physics modeling, and exascale computing-enabled full-waveform inversion to achieve sub-kilometer resolution. These advancements will establish digital twins of Earth's deep interior, advancing our understanding of crust-mantle dynamics and resource distribution.The twenty percent resolution enhancement and forty percent error reduction solidify this technique as an indispensable tool for high-fidelity deep Earth imaging. By resolving previously obscured structures such as crust-penetrating fault systems, Moho discontinuities, and mantle delamination, it provides a systematic foundation for Earth science research and resource security applications. This work delivers essential methodological guidance for advancing deep structural exploration and addressing fundamental questions in Earth sciences.