Deep-sea mining green factory system based on artificial intelligence

By constructing an AI-based green factory system for deep-sea mining, the problems of discrete equipment, remote control, and lack of closed-loop operation in deep-sea mining technology have been solved. The system has achieved a closed loop of material and energy at the system level, real-time ecological governance, and dynamic balance of tailwater treatment, forming a deep-sea automated production system with autonomous operation capabilities.

CN122040171APending Publication Date: 2026-05-15OCEAN UNIV OF CHINA
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Patent Information

Application Number
CN202610313935.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-03-16
Publication Date
2026-05-15

AI Technical Summary

Technical Problem

Existing deep-sea mining technologies suffer from problems such as discrete equipment, remote control, and lack of closed-loop operations. This prevents deep-sea mining from forming a continuous, collaborative, and streamlined system-level operation, resulting in lagging environmental governance and hindering green and sustainable development.

Method used

A deep-sea mining green factory system based on artificial intelligence is constructed, including a three-dimensional marine environment perception module, an intelligent control module for deep-sea heavy-duty mining vehicles, an ultra-deepwater resource enhancement and tailwater treatment module, and a seabed environmental disturbance monitoring and repair module. Through multi-objective optimization algorithms and artificial intelligence decision kernel, system-level material and energy closed-loop control is achieved, forming a closed-loop system of 'perception-decision-execution-feedback-repair'.

Benefits of technology

It has achieved system-level intelligent, green and sustainable operation of deep-sea mining operations, solved the problems of equipment dispersion and remote control, realized system-level material and energy closed loop, real-time ecological governance and dynamic balance of tailwater treatment, and built a deep-sea automated production system with autonomous operation capabilities.

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Abstract

The invention belongs to the field of deep-sea resource development and environmental protection, and discloses a deep-sea mining green factory system based on artificial intelligence, which comprises a marine environment sensing module, a deep-sea heavy-load mining vehicle intelligent control module, an ore pulp lifting and tail water treatment module, a seabed environment monitoring and repairing module and an AI cooperative control center, the environment sensing module collects submarine topography point cloud and flow field data, and a real-time three-dimensional environment reconstruction model is generated through fusion; the deep-sea heavy-load mining vehicle control module outputs power parameters of an advancing and collecting mechanism based on the model, and path planning and posture self-adaption are achieved; the monitoring and repairing module serves as an ecological protection unit, acquires plume concentration and diffusion data in real time, calculates and adjusts the throwing flow speed of a green flocculant through a feedback control algorithm, and achieves active suppression of operation disturbance; and the tail water treatment module dynamically adjusts the operation condition of the grading purification device according to the spectral analysis data of the backflow water body. According to the invention, collaborative protection of deep sea resource development and ecological environment is realized.
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