This article conducts an in-depth study of the noise sources and filtering methods of bathymetric data in offshore wind power projects

aiming to identify the most suitable technologies to enhance the efficiency and quality of data processing.Additionally

the paper explores the implementation of automated filtering techniques and scientifically evaluates data accuracy to ensure the reliability of the results.By developing a dedicated software system

these advanced filtering technologies and evaluation methods are integrated and automated

further improving the efficiency and precision of bathymetric data processing.This provides solid data support for the design

construction

and operational monitoring of offshore wind power projects.