  Accurate retrieval of the power equipment information plays an important role
in guiding the full-lifecycle management of power system assets. Because of
data duplication, database decentralization, weak data relations, and sluggish
data updates, the power asset management system eager to adopt a new strategy
to avoid the information losses, bias, and improve the data storage efficiency
and extraction process. Knowledge graph has been widely developed in large part
owing to its schema-less nature. It enables the knowledge graph to grow
seamlessly and allows new relations addition and entities insertion when
needed. This study proposes an approach for constructing power equipment
knowledge graph by merging existing multi-source heterogeneous power equipment
related data. A graph-search method to illustrate exhaustive results to the
desired information based on the constructed knowledge graph is proposed. A
case of a 500 kV station example is then demonstrated to show relevant search
results and to explain that the knowledge graph can improve the efficiency of
power equipment management.
