Intelligent Control of Split-Grouting Mixing Piles via Stratum Inversion

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Solution Overview

Problem

Current splitting cement-soil mixing piles face challenges due to complex geology, reliance on artificial experience, and lack of real-time information and dynamic optimization, leading to suboptimal construction quality and efficiency.

Innovation Solution

An intelligent construction control method and system that integrates real-time stratum information inversion and dynamic self-optimization of construction parameters using machine-learning models, including a random forest-DBSCAN integration model for stratum information and a self-matching SVM model for optimal construction parameters, to adjust parameters in real-time.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of manufacture

If traditional cement-soil mixing piles are used with low-pressure mud pump and large-diameter slurry outlet, then the construction process is simple, but the cement slurry is squeezed out at low pressure and cannot mix properly with soft cohesive soil, causing poor pile quality

Engineering Contradiction:

Improveconstruction process simplicityVSAvoidpile quality

Core Design Contradiction:

Ease of manufactureVSManufacturing precision

Solution Approach 1:

The single large-diameter slurry outlet is divided into multiple small-diameter nozzles. This segmentation increases the number of jet streams that can penetrate and mix with the soft cohesive soil, improving mixing effectiveness while maintaining construction simplicity

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The mud pump pressure is increased from low-pressure to high-pressure operation. This parameter change enables the cement slurry to be ejected at high velocity, creating a cutting and splitting effect that forces the slurry into soft clay layers, thereby improving pile quality

Inventive Principle:

Principle #35Parameter changes

2Manufacturing precision

If splitting cement-soil mixing piles with high-pressure mud pump and multiple nozzles are used, then the cement slurry can mix evenly with soft clay, but the system cannot obtain real-time stratum information and construction parameters cannot be optimized dynamically

Engineering Contradiction:

Improvemixing uniformityVSAvoidreal-time stratum information

Core Design Contradiction:

Manufacturing precisionVSLoss of information

Solution Approach 1:

Sensors are installed to detect real-time construction parameters (drilling depth, torque, axial force, pore water pressure) and stratum conditions. This feedback mechanism provides real-time information about the construction process and ground conditions, enabling dynamic parameter optimization

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

Traditional artificial experience-based construction control is replaced with an intelligent system using machine learning models. The system processes sensor data and automatically determines optimal construction parameters, replacing manual decision-making with automated intelligent control

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Ease of operation

If artificial experience is used to control construction parameters, then the system is easy to operate, but construction quality and efficiency are reduced due to inability to optimize parameters according to actual working conditions

Engineering Contradiction:

Improveoperational simplicityVSAvoidconstruction efficiency

Core Design Contradiction:

Ease of operationVSProductivity

Solution Approach 1:

The intelligent construction control system performs self-optimization of construction parameters based on real-time sensor data and machine learning models. The system automatically adjusts parameters without requiring expert human intervention, enabling the system to serve itself while improving construction efficiency

Inventive Principle:

Principle #25Self-service

Data Source

PatentUS12454800B2Intelligent construction control method, apparatus and system for mixing pile with split-grouting

Publication Date: 2025.10.28 SHANDONG HI SPEED GRP CO LTD

AI summary

The present invention provides an intelligent construction control method, apparatus, and system for splitting jet grouting mixing piles, relating to geotechnical engineering. The method includes receiving real-time perception information from a construction information self-perception system, which includes drilling depth, drilling rig output power, drill bit torque, drill rod axial force, and pore water pressure of the drill bit. This information is input into a trained machine-learning model for stratum information, establishing a nonlinear implicit correspondence relationship between the perception information and construction stratum conditions, and outputting real-time stratum state information. The real-time stratum state information is then input into a trained self-matching machine-learning model for optimal construction parameters, establishing a nonlinear implicit correspondence relationship between the stratum state information and optimal construction parameters, and outputting current optimal construction parameters. This invention enables real-time intelligent inversion of stratum information and dynamic self-optimization control of construction parameters.