The application discloses a method for designing and calibrating a detection site of an unmanned aerial vehicle based on high-precision positioning, comprising the following steps: S1, setting a main
control point and a standard point; S2, performing static relative measurement and free
station measurement, and outputting a reference coordinate
data set; S3, introducing a Boolean sand model, calculating accurate three-dimensional coordinate values of the main
control point, evaluating residual errors, and generating reference data of the main
control point; S4, performing multi-
station redundant observation on the standard point, and outputting accurate coordinate data of the standard point; S5, constructing an improved Hamilton Monte Carlo-based
Bayesian inference model, introducing a
Gaussian mixture prior guide factor, calculating a
posterior probability distribution and an extended uncertainty, and generating a calibration data report; and S6, performing independent measurement and comparative analysis, and outputting a final
calibration result. The application realizes accurate measurement of point coordinates of a detection site and scientific evaluation of uncertainty, and effectively improves the reliability and robustness of value
traceability.