Research on Improving the Efficiency of Live Operation Safety Management Through Knowledge Graph and Action Recognition Technology

As the number and complexity of live-line operations increase, so does the associated risk, making risk analysis and prevention of live-line operations an important aspect of safety research. This study focuses on typical live-line operation scenarios, such as climbing distribution line poles. Based on the professional knowledge involved in live-line operations, it analyzes the necessary key operational actions and related transition actions, establishes standardized actions and norms for live-line workers, and constructs a standardized action sample library for live-line operation scenarios. By employing knowledge graph and action recognition technology, the study proposes a comprehensive live-line operation safety management solution. This solution not only enhances the safety awareness and professional skills of the operators but also significantly reduces the accident rate and improves work efficiency.