导向式微型顶管机智能感知与风险预警系统改造OA

This paper proposes a real-time deviation correction and early warning system that integrates steering offset identification and front-end geological perception for micro-tunneling.Based on active LED encoded optical targets and sub-pixel localization technology,real-time detection of steering deviation is achieved,with Kalman filtering introduced for trend prediction and a dynamic three-level early warning mechanism established.An embedded sensing module is designed to collect physical quantities such as vibration and jacking force,and a soil layer identification model is constructed using the random forest algorithm.An intelligent decision-making platform is built by integrating vision and sensing data,combining expert rules and neural networks for comprehensive identification and visualized auxiliary decision-making.The results show that the system achieves an effective integration of steering control and geological risk early warning,significantly enhancing the accuracy,safety,and efficiency of micro-tunneling construction,and provides support for the intelligent construction of urban underground pipelines.