The invention relates to the technical field of
transformer substation intelligent patrol, and provides a
transformer substation three-dimensional fusion patrol method and
system based on digital twinborn and autonomous identification. According to the method, a fused three-dimensional model is constructed through multi-
source data acquisition and a three-dimensional
Gaussian splash
algorithm, and in combination with
deep learning-based
point cloud semantic segmentation and clustering, an equipment-patrol means coverage relationship is generated. Creating a virtual inspection proxy
object based on a three-dimensional virtual environment, and controlling terminals such as an unmanned aerial vehicle to collect real-time
video image data; the
system carries out automatic identification on pictures, automatically completes equipment level alignment and standard
point location identification, generates fine control of camera zooming, horizontal rotation, pitching and the like, and realizes standardized view finding and acquisition. By combining an enhanced
recognition algorithm, traditional
image processing and a
deep learning model are fused, model self-evolution is realized through
incremental learning, flexible expansion and
collaboration of various patrol terminals are supported through a
unified interface, and refined, real-time and intelligent patrol operation and maintenance requirements of an intelligent substation are met.