Abstract: Water conservancy and hydropower projects serve as critical infrastructure for national economic development andstrategic water resource allocation. Their construction sites feature complex terrain conditions, extensive cross-operations, andwidespread hazard sources, with safety risks exhibiting characteristics of concealment, suddenness, and dynamism. The currenttraditional safety management model primarily relies on manual supervision and experiential management, resulting in insufficientrisk identification accuracy and delayed warning responses, which fail to meet the high-standard safety requirements of modernengineering. By leveraging new-generation digital technologies such as the Internet of Things, big data, artificial intelligence, anddigital twins, an intelligent safety risk prevention and control system is established to enhance construction safety in waterconservancy and hydropower projects, thereby reinforcing the essential safety development direction of these projects.
田硕硕 Shuoshuo Tian (Wed,) studied this question.