Abstract: Near-electric risk control during hoisting operations in substations has long been a challenging task of on-site safety management. Due to the crisscrossed overhead conductors and the large number of exposed equipment within substations, the crane boom may easily approach energized components during hoisting, leading to breakdown discharges and resulting in potential personal injury, equipment damage, and power grid accidents. This paper proposes an intelligent early warning system for near-electric risk awareness in substations by integrating video and LiDAR point cloud data. The practical application of the system in field operations is also analyzed. Results show that the proposed method can accurately and reliably detect sensitive targets such as crane booms and hooks in real time, while also enabling real-time monitoring of the distance between live components and the crane boom. The distance measurement achieves centimeter-level accuracy. The proposed early warning system provide a viable solution model for future near-electric operation risk management in substations.