Research on deep-sea mining technology

1. Digital twin technology for deep-sea mining system

Research content:

1) Real-time perception and high-precision prediction algorithm for deep-sea mining operation environment;

2) High-precision 3D dynamic scene reconstruction in the complex environment of deep-sea mining;

3) Hydrodynamic characteristics of multi-floating body coupling in deep-sea mining systems;

4) Virtual-real linkage technology for multi-system deep-sea mining.

Main achievements and indicators:

1) The calculation accuracy of the multi-floating body coupled hydrodynamic calculation model shall not be lower than 80%, and the frequency shall not be lower than 30Hz;

2) The prediction accuracy of the deep-sea mining environment prediction algorithm shall not be lower than 85%;

3) A full-cycle digital twin system based on dynamics.

2. Research on model verification technology for deep-sea mining system

Research content:

1) Consistency verification of digital-analog simulation system;

2) Verification of dynamic matching across the entire system;

3) Quantitative evaluation of simulation model confidence.

Main achievements and indicators:

1) Establish a comprehensive system performance parameter index set, covering key parameters such as annual mining output, dynamic power balance, energy consumption-supply cycle collaborative optimization, mining vessel buffering efficiency, and adaptability to deep-sea environmental disturbances, and subject it to expert review;

2) Develop models that support reliability allocation, redundancy optimization design, and intelligent maintenance decision-making under extreme operating conditions, aiming to achieve a 10% improvement in the mean time between failures (MTBF) of the system, reduce life cycle operation and maintenance costs, and validate these through sea trials.

3. Intelligent decision-making technology for collaborative operation control under time-delay conditions

Research content:

1) Model predictive control algorithm enhanced based on extended state observer;

2) Boundary protection algorithm and safe desired trajectory generation technology;

3) Integrate route planning, control optimization, and response prediction to construct a multi-objective collaborative decision-making model.

Main achievements and indicators:

1) The accuracy of the comparison between the expected flight path and the actual flight path should not be lower than 85%;

2) The intelligent decision-making algorithm for collaborative operations generates decisions within 1 second or less;

3) Intelligent operation and maintenance control system for deep-sea mining operations.