Personal safety is the core element in building a new type of power system safety ecosystem. In recent years

with the development of intelligent sensing and cognitive computing

risk identification methods based on artificial intelligence technology have made phased progress in the field of power safety. However

personal safety involves various elements such as personnel

equipment

operating environment

and organizational management. Existing prevention and control technologies fail to effectively block the risk transmission path under the coupling of multiple factors

making it urgent to establish a new personal safety risk prevention and control mode. Therefore

based on the analysis of the disaster chain caused by power personal safety accidents

this paper establishes a power personal safety risk prevention and control mechanism for the spatial coupling of four-dimensional elements of “personnel - equipment - environment - organization”. Then

guided by the concept of “safety co-governance” of the National Energy Administration as the guiding ideology and integrated with the cutting-edge technologies of artificial intelligence such as large language models and autonomous agents

this paper proposes the basic concept of co-governance intelligence for electric power personal safety

constructs the closed-loop technology framework of safety co-governance intelligence of “multi-source perception - single-dimensional analysis - cross-dimensional cognition - dynamic decision-making”

and discusses the key technologies of each link of safety co-governance intelligence. Finally

the future development path and main challenges of co-governance intelligence are summarized and prospected.