Underwater grouting diffusion visualization and vr interaction test system and intelligent adaptive control method thereof

By using an underwater grouting diffusion visualization and VR interactive test system, combined with multi-field dynamic water flow simulation and intelligent adaptive control, the problem of visualization and optimized control of the grouting process under dynamic water conditions was solved, thereby improving grouting efficiency and success rate.

CN122193018APending Publication Date: 2026-06-12CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
Filing Date
2026-03-25
Publication Date
2026-06-12

AI Technical Summary

Technical Problem

Under dynamic water conditions, the grout diffusion pattern is unclear during the grouting process, making it difficult to control the grouting volume and pressure, ensuring the grouting effect, resulting in high labor costs, low efficiency, and difficulty in achieving real-time visualization and optimized control with existing technologies.

Method used

An underwater grouting diffusion visualization and VR interactive test system was adopted, which integrates multi-field dynamic water flow simulation, micro CT sensor, fiber optic grating sensor and VR interactive system. Combined with intelligent adaptive control method, the grouting parameters were optimized through edge computing and multi-agent reinforcement learning (MARL) to achieve real-time monitoring and control.

Benefits of technology

It enables real-time visualization and optimized control of the grout diffusion path, improving grouting efficiency and success rate, reducing labor costs, and enhancing the controllability and flexibility of the grouting process.

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Abstract

The application discloses an underwater grouting diffusion visualization and VR interaction test system and an intelligent self-adaptive control method thereof, and the test system comprises a multi-field dynamic water flow simulation system, a grouting unit and a micro-CT sensor; the multi-field dynamic water flow simulation system is used for simulating dynamic water conditions; the grouting unit is used for injecting grout; the micro-CT sensor is used for real-time scanning and generating a three-dimensional voxel model of grout diffusion; a fiber grating sensor is used for monitoring soil micro-strain caused by grout diffusion; a VR interaction system is used for rendering the three-dimensional voxel model into a virtual reality scene; and an intelligent self-adaptive control system comprises an edge computing module, a MARL decision server, a sensor interface unit and an actuator control unit; the edge computing module is provided with a lightweight physical information neural network model, and the MARL decision server is provided with a multi-agent reinforcement learning model; the application integrates high-precision optical fibers, CT sensors and VR interaction terminals, the test result is more in line with the actual situation, reliable operation basis is provided for actual engineering, and grouting efficiency and success rate are improved.
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