Research and application of rational intelligent agent technology in power equipment health analysis

The operational status of power grid equipment directly affects the safety of the grid operation, making intelligent equipment health analysis methods particularly important. In order to address the shortcomings of low efficiency in manual reporting of status indicators, single feature quantities in status evaluation, and retrospective bias in health assessment encountered in power equipment health analysis, this paper proposes a method centered on equipment and components, guided by "equipment health codes," to study the establishment of a graph relationship between key equipment status characteristics and equipment failures. Through the combination of expert experience and rational intelligent agent technology, automated and intelligent health analysis is achieved, improving the analysis efficiency of operation and maintenance personnel and evaluators, and enhancing the level of equipment reliability.