In this paper, an interactive navigation and dynamic visual analysis model of incremental layout of power digital resource map is proposed to solve the challenge of real-time visual analysis of massive power data under the background of energy transformation. In order to solve the problems of data fragmentation, static layout destroying mental map and insufficient ability of complex correlation analysis in multi-source heterogeneous systems such as SCADA, GIS and AMI, this study constructs power domain ontology based on common information model (CIM) to realize semantic unified mapping of cross-system data. An incremental force-oriented layout algorithm based on time attenuation factor and spatial constraints is innovatively designed. By optimizing the calculation of only the changed parts, the time-consuming for updating the map of million-level nodes is stabilized at 500-720ms, which is more than 90% more efficient than the traditional global layout method. The model integrates the main map, geographic information, Sankey energy flow and three-dimensional device view, realizes cross-view linkage and gesture interactive navigation through unified data bus, and adopts focus+context mechanism to reduce visual complexity. The experiment is verified by 30-day actual data (1.2 million nodes and 2.8 million edges) of a provincial power grid. The results show that the model shortens the completion time of fault impact analysis and new energy output traceability tasks by 50%-56%, and improves the accuracy by 20%-25%. Fifteen experts in the field give a high evaluation of interface intuition, interactive fluency and analysis efficiency. The model provides an efficient and feasible technical scheme for dynamic monitoring and depth analysis of power digital resources.
Cai et al. (Sun,) studied this question.