This invention discloses a method for controlling the construction accuracy of tunnel jacking based on multi-source sensor data fusion. The method includes: collecting multi-dimensional sensor data such as position, attitude deflection,
structural stress, and disturbances in the surrounding medium; completing spatiotemporal registration and anomaly removal through a cross-source sensor
data integration and analysis platform; establishing
dynamic data correlation mapping relationships by calling a sensor data
spatiotemporal correlation adaptation model; generating real-time calibration commands based on a dynamic calibration model for jacking construction attitude; and outputting targeted accuracy compensation parameters through a dynamic disturbance accuracy compensation deduction
algorithm. These two methods are then applied synergistically to the construction execution
system. Through steps such as spatiotemporal index construction, correlation strength quantification, benchmark standard establishment, deviation quantification and command generation, disturbance
feature extraction, deviation deduction, and compensation parameter optimization, the method achieves
dynamic control of the entire construction accuracy chain, improving the stability and accuracy of tunnel jacking construction under complex geological conditions.