Intelligent fusion terminal full-temperature error self-calibration method based on digital twin migration

Abstract

This invention provides a method for full-temperature error self-calibration of intelligent fusion terminals based on digital twin transfer, belonging to the field of intelligent fusion terminal power metering technology. It includes: selecting sample terminals for multi-condition data acquisition across the entire temperature range; establishing a common error baseline model for the population using Gaussian process regression; extracting individual deviation features at room temperature and individual deviation labels for the full temperature range from the sample terminals; training a transfer mapping network from room temperature deviation to full temperature deviation based on XGBoost; performing a single-point self-test at room temperature on the terminal to be shipped and extracting room temperature deviation features; inputting the room temperature deviation features into the transfer mapping network to predict individual deviations at the full temperature range; algebraically superimposing the population baseline and individual deviations to reconstruct the full-temperature compensation coefficient table and burning it to the terminal; and completing self-calibration by interpolating the table based on real-time temperature during terminal operation. This invention, through the fusion of population commonality separation and individual deviation transfer mapping, can reconstruct the full-temperature compensation curve of the terminal based on single-point data at room temperature.

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