Real-time dynamic monitoring and control method for ramming energy and replacement depth of dynamic compaction replacement method

By integrating sensors and artificial intelligence models into a real-time dynamic monitoring system, the problems of static parameters and lagging criteria in the construction of the dynamic compaction replacement method have been solved, realizing real-time perception and intelligent prediction of the construction process, and improving construction quality and efficiency.

CN121858965BActive Publication Date: 2026-07-24CHINA HARBOUR ENGINEERING +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CHINA HARBOUR ENGINEERING
Filing Date
2026-01-27
Publication Date
2026-07-24

AI Technical Summary

Technical Problem

The existing dynamic compaction replacement method relies on experience for construction quality control, lacks real-time monitoring and dynamic adjustment capabilities, resulting in static parameter settings, delayed construction criteria, and post-construction quality verification, making it difficult to cope with variations in soil properties and construction risks.

Method used

By integrating high-precision sensors, 3D real-scene monitoring, and artificial intelligence models, a real-time dynamic monitoring system is constructed. Through hybrid neural networks, the system predicts replacement depth and construction risks, achieving dynamic control.

Benefits of technology

It enables real-time perception and intelligent prediction of the construction process, improves the controllability and efficiency of construction quality, reduces costs and construction period, and enhances project reliability.

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Abstract

The application discloses a real-time dynamic monitoring control method for ramming energy and replacement depth of a dynamic compaction replacement method, and comprises monitoring data collection, real-time ramming energy calculation, data structured processing, construction of a mixed neural network model, dynamic prediction of a construction process, dynamic control of the construction process, closed-loop iterative optimization and model continuous optimization; through integration of high-precision sensors, three-dimensional real scene monitoring and an artificial intelligence prediction model, a closed-loop system of sensing, prediction and control is constructed, the dynamic changes of soil layer characteristics with ramming operation are adaptively controlled, real-time prediction of ramming energy and replacement depth of a replacement pile body of the dynamic compaction replacement method is realized, potential quality and safety risks are effectively prevented, energy deficiency caused poor treatment effect or energy excess caused resource waste and soil disturbance are avoided, and the controllability, engineering efficiency and economy of the dynamic compaction replacement construction quality are significantly improved.
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Citation Information

Patent Citations

  • CN113585219A

  • CN118279089A