The deep rapid precipitation dynamic consolidation method is highly dependent on full-domain perception of core indicators such as vacuum degree, water level, excess pore water pressure, and settlement. Traditional manual monitoring faces pain points such as data gaps, subjective bias, and difficulty in traceability. This solution deploys an AI intelligent monitoring system. Through multi-dimensional sensing and algorithmic analysis, it builds an all-weather, high-precision digital construction foundation, comprehensively upgrading the core process from "human-watched experience" to "data-driven decision-making," and achieving precise control and intelligent optimization of the entire construction process through digital and intelligent means.

Intelligent Monitoring and Control System for Sand-Free Direct-Discharge Vacuum Preloading