Construction of Gaussian Sputtering Data Acquisition Standard System Framework for Power Grid 3D Modeling
Conference
Zhang, W, Zhu, Y, Tian, B et al. (2025). Construction of Gaussian Sputtering Data Acquisition Standard System Framework for Power Grid 3D Modeling
. 728-733. 10.1109/ICDSCA67083.2025.11350067
Zhang, W, Zhu, Y, Tian, B et al. (2025). Construction of Gaussian Sputtering Data Acquisition Standard System Framework for Power Grid 3D Modeling
. 728-733. 10.1109/ICDSCA67083.2025.11350067
In order to solve the problems of high cost, low efficiency and poor data compatibility in traditional power grid 3D modeling, this paper constructs a data acquisition standard system framework for power grid 3D modeling based on 3D Gaussian sputtering technology, and proposes an innovative multi-source data dynamic weight fusion algorithm. The algorithm dynamically allocates fusion weights by real-time analysis of the accuracy characteristics of data sources such as laser point cloud, image, RTK, etc., and solves the problem of insufficient local accuracy caused by fixed weights. The experimental simulation selects two typical power grid scenes, substation and transmission line corridor, and collects data according to the constructed standard system for verification. The results show that compared with the traditional algorithm, the registration error of the algorithm is reduced by 18.3%, the data fusion efficiency is improved by 22.5%, and the model root mean square error (RMSE) is reduced by an average of 17.8%; the standard system realizes the unification of data interfaces, formats and protocols of different devices, and the data transmission compatibility is improved by more than 35%. The research provides standardized data acquisition specifications and efficient technical support for the rapid reconstruction of power grid 3D, and promotes the efficient development of the digitalization process of power grid.
