Author(s)

Yongyuan Gu

Corresponding Author

Yongyuan Gu

Abstract

This study addresses the challenges of technical adaptation difficulties and low data accuracy in geotechnical engineering surveys under complex geological conditions. Based on a multi-technology collaboration and process optimization approach, it analyzes the complete application process of geotechnical engineering survey technology in such scenarios. The study summarizes the operational logic of four core stages: preliminary geological prediction, multi-technology field data collection, data processing and modeling, and result validation. Additionally, it elaborates on three optimization approaches: introducing intelligent equipment, establishing a cross-technology data-sharing platform, and conducting targeted technical adaptability tests. Through systematic and practical verification, the proposed application process effectively mitigates interference from complex geological conditions, enhancing data integrity and reliability. The optimization approaches further reduce survey errors and improve operational efficiency, providing a practical technical framework for geotechnical engineering surveys under complex geological conditions. This framework also lays a data foundation for the safe advancement of subsequent engineering designs, addressing the core issue of inadequate adaptability of traditional survey technologies in complex geological settings.

Keywords

Geotechnical engineering, Survey technology, Complex geological conditions, Scheme design, Data collection