NetEase Lingdong Introduces 'Lingjue' AI for Mining Sector

At the World Artificial Intelligence Conference (WAIC), NetEase Lingdong unveiled 'Lingjue', a groundbreaking embodied intelligence model specifically designed for excavator operations in open-pit mines. This innovation aligns with China's National Energy Administration's 2025 target for intelligent, unmanned mining operations.

Three Key Technological Breakthroughs

The 'Lingjue' system represents a significant leap forward with:

1. End-to-end integrated model: Replacing traditional modular development with a unified approach that enhances generalization capabilities
2. Real-world data training: Using actual mine operation data instead of simulations to handle complex scenarios
3. Full domestic control: Built on China's self-developed framework with independent core algorithms and hardware chips

Field Performance in Extreme Conditions

During tests at Inner Mongolia's Huolinhe Open-Pit Coal Mine, 'Lingjue' demonstrated remarkable resilience:

• Achieved 80% of manual loading efficiency
• Reduced human intervention to just 30% of operating time
• Successfully adapted to extreme cold, high dust environments, and various mining truck types

Industry Collaboration and Expansion Plans

NetEase Lingdong announced two major initiatives:

• Open-sourcing the 'Lingjue' dataset to foster industry-wide innovation
• Launching the "2027 Industry Collaboration Plan" with partners including XCMG, Sany, and Shantou Intelligent The plan aims to achieve unmanned operations in over 30 mines by 2027 through joint R&D and standard development.

The underlying 'Jixie Zixin' training framework combines video learning, expert demonstration, and reinforcement learning. This technology is already expanding to port cleaning, concrete mixing stations, and other industrial applications, with future plans for agriculture and smart manufacturing sectors.

Key Points:

• First end-to-end AI model for mining excavators
• 80% manual efficiency achieved in field tests
• Open dataset and industry collaboration plan launched
• Domestic framework ensures technological sovereignty