Design and implementation of a multi-source data fusion scheme based on configuration software for smart energy

Abstract

With the rapid development of new power systems and smart energy, data sources for energy equipment are being greatly expanded, and integrated power scenarios are becoming more sophisticated and complex. As a visualization tool that can quickly build smart energy scenarios, configuration software has been unable to efficiently respond to the increasing number of cross-system and multi-granularity display requirements. In order to address the serious shortcomings of configuration software in data display, this paper proposes a new multi-source data fusion scheme that achieves the linkage effect between equipment model attributes and multi-source binding data via flexible and configurable multi-source data selection components and dynamically assigned functions. At the same time, the hybrid communication mechanism is used to optimize the data refresh performance, and finally, multi-source data fusion of a single model is realized, which improves energy visualization accuracy. In the end, an example scenario is compared to the existing solution to validate the paper's proposed scheme's simplicity, flexibility, and agility.