Error Analysis and Correction Method of Displacement Measurement of Deep Foundation Pit

With the development of the construction industry and measurement theory, deep foundation pit displacement measurement error and correction have become a focus in practical engineering. However, existing studies have issues like insufficient measurement experience, poor correction effect, and over‐reliance on qualitative analysis over quantitative research on error influence, making it hard to grasp error laws and correction methods, hence an urgent need for reliable solutions. This paper proposes an error analysis and correction method integrating coefficient selection and multiple regression. It constructs displacement datasets and error matrices via coefficient selection for data accuracy, uses multiple regression to calculate and verify errors (introducing dynamic factors to adjust measurement range and comprehensive factors to reduce subjective interference), computes results with five indicators, and conducts MATLAB simulation and comparison with traditional/qualitative methods. Results show the method outperforms traditional ones in accuracy (over 90% per indicator) and efficiency, with higher comprehensive accuracy and stronger stability in complex environments, verifying feasibility and improving measurement accuracy. Innovatively, it integrates two methods to build a complete framework and uses two factors to reduce subjectivity and enhance reliability.