基于测斜系统的深部位移监测技术优化OA

Existing deep displacement monitoring systems face challenges such as limited measurement frequency,insufficient bat-tery life,and significant error accumulation,which hinder their ability to meet the modern engineering demand for high-precision and re-al-time monitoring.To address these issues,this study designs a fully automated inclinometer system that integrates multi-axis MEMS sensors,low-power technology,and error-correction algorithms.Guided by theoretical research and core problems,this work systematical-ly analyzes and verifies the advantages and disadvantages of both sliding and fixed inclinometers.Based on the findings,a targeted optimi-zation is developed.Following this scheme,research is carried out in areas including technology integration,energy efficiency optimiza-tion,structural optimization,and algorithm enhancement,leading to comprehensive improvements in deep displacement monitoring tech-nology.To validate the effectiveness of the proposed system,field deployment and installation were conducted for deep soil displacement monitoring.The results demonstrate that the system ensures stable data acquisition,significantly increases sampling frequency and endur-ance,effectively reduces data collection errors,and achieves breakthroughs in monitoring accuracy,anti-interference capability,and auto-mated monitoring.The system provides an efficient solution for safety monitoring in deep soil structures.