Automatic update method of GIS platform drawing model based on machine learning

Article type: Research Article

Authors: Yuan, Ji

Affiliations: Information Center, Guizhou Power Grid Co., Ltd., Guiyang, Guizhou 550002, China | E-mail: [email protected]

Correspondence: [*] Corresponding author: Information Center, Guizhou Power Grid Co., Ltd., Guiyang, Guizhou 550002, China. E-mail: [email protected].

Abstract: Aiming at the problem that the number of data bytes in the traditional automatic update technology of GIS platform is small, a method of automatic update of GIS platform graph model based on machine learning is studied. Firstly, the data of the GIS platform model is convolved by the iso-linear feature detection operator in the automatic updating technology of the GIS platform model, and the calculated data of the GIS platform model is expressed as spatial data. A reasonable updating criterion is established, the spatial relationship of GSI data is reconstructed by the measure of updating criterion, the data vector of GIS platform model updated within the updating time range is calculated, and the regional data elements in the space are constantly changed to complete the data updating of GIS platform model. The experimental results show that compared with the automatic updating method of GIS platform model, the proposed method can update more data bytes with the same number of data bytes.

Keywords: Machine learning, GIS platform, automatic updating of model, spatial relations

DOI: 10.3233/JCM-215735

Journal: Journal of Computational Methods in Sciences and Engineering, vol. 22, no. 2, pp. 425-435, 2022