Power transmission line observation environment error calibration method, system, device and medium

CN121995411BActive Publication Date: 2026-06-19WUHAN UNIV

Patent Information

Authority / Receiving Office: CN · China
Patent Type: Patents(China)
Current Assignee / Owner: WUHAN UNIV
Filing Date: 2026-04-07
Publication Date: 2026-06-19

AI Technical Summary

Technical Problem

Existing technologies have limited applicability to multipath error suppression methods under mixed observation conditions of multiple systems, resulting in low accuracy in error modeling and difficulty in effectively characterizing observation environment errors.

Method used

Collect satellite navigation data from multiple systems, calculate the ionospheric-free combined residuals, establish a target grid model, calibrate the observation environment error using the ionospheric-free combined model, and calibrate the observation environment error of the transmission line using the ionospheric-free combined model.

Benefits of technology

It improved the accuracy and consistency of observation data, enhanced grid coverage, shortened modeling time, improved model stability and accuracy, effectively compensated for environmental errors such as multipath, and improved the accuracy and reliability of transmission line monitoring results.

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Abstract

This application relates to the field of satellite navigation detection technology, and in particular to a method, system, equipment, and medium for calibrating the observation environment error of transmission lines. The method includes: collecting raw monitoring data of the transmission line from each satellite navigation system; calculating the ionospheric-free combined residual based on the raw monitoring data of each satellite navigation system; establishing a target grid based on the position of the station antenna and the satellite observation angle; projecting the ionospheric-free combined residual onto the target grid based on the satellite observation angle of the station antenna; establishing an ionospheric-free combined model based on the projection result; and calibrating the observation environment error of the transmission line using the ionospheric-free combined model. This solves the problems of limited applicability of related technologies when processing multi-system observation data, insufficient characterization ability of observation environment errors, and low accuracy of error modeling.

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