Research on Accuracy Detection Method of Spatio-temporal Data
ZHANG Kejia
YIN Jingsong
LIU Tao
XU Yixing
BAI Yulei
TIAN Mengqing
Abstract：The accuracy detection method of spatio-temporal data is usually used to solve the problem of data scheme optimi-zation or accuracy detection in the case of high-speed spatio-temporal data influx.In the spatiotemporal heterogeneous environ-ment,it is difficult to ensure the quality of detection by traditional methods when solving similar problems due to the influence of fac-tors such as data object dispersion,uncertainty of timing relationship,and spatial variability of coupling relationship.This paper combines the advantages of spatial weighting,graph convolution neural network and time convolution network,and proposes a meth-od that can solve the problem of spatio-temporal data accuracy detection.Firstly,the spatio-temporal data is modeled to generate a time-varying graph group with spatio-temporal characteristics.Secondly,the graph convolution neural network and time convolu-tion network are fused to extract and analyse the spatio-temporal characteristics of the data,and the calculation method of the weight matrix is optimized to improve the detection accuracy.Finally,in the real application scenario test,a series of comparative experiments are designed to verify that this method has obvious advantages in detection accuracy.
Keywords：data accuracyspatio-temporal datagraph convolution neural networktime convolution networkspatial weighting
Publication Date：2025-11-20
Online Publishing Date：2026-01-28(First online date of this platform, not the publication date of the document)
Pages：6( 3092-3097 )