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Shandong Energy works with Huawei to release the world's first large model of business artificial intelligence in the mining field.

2025-04-05 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > IT Information >

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Today, Shandong Energy Group (hereinafter referred to as "Shandong Energy"), Huawei and Yunding Technology jointly released the world's first AI large model for energy industry-Pangu Mine Large Model. This will solve the problem that artificial intelligence is difficult to land in the field of mines, lead the transformation of mine AI development mode from workshop to factory, and lay a solid foundation for AI to enter mines on a large scale.

Li Wei, chairman of Shandong Energy Party Committee Secretary, said: "Those with the same aspirations gather together, and those with the same way coincide. As the world's leading ICT (information and communication technology) infrastructure and intelligent terminal provider, Huawei has a high degree of compatibility, strong complementarity and symbiosis with the digital transformation strategy of Energy Group. Based on improving the intelligent level of the mining industry, we focus on solving bottlenecks such as insufficient depth and breadth of artificial intelligence application scenarios, so as to enable artificial intelligence to continuously empower the mining industry, so as to achieve the goals of reducing people and improving efficiency, reducing labor intensity and improving safety level. "

As the first commercial use of AI large model in the energy field in the world, Shandong Energy, Yunding Technology and Huawei are developing and implementing the first batch of scenario applications on the basis of preliminary pilot verification of AI large model enabling industrial production field, covering 21 scenario applications of 9 specialties including coal mining, tunneling, main transportation, auxiliary transportation, lifting, safety supervision, scour prevention, washing and coking.

China is one of the countries that coal mining industry is most affected by rock burst. Drilling pressure relief engineering is the main means of rock burst prevention. In order to ensure the construction quality of pressure relief drilling, Shandong Energy Lilou, Xinjulong and other coal mines have introduced AI large model visual recognition capability to intelligently analyze the construction quality of pressure relief drilling and assist the surge prevention department to carry out normative verification of surge prevention and pressure relief engineering, which not only reduces 82% of manual review workload, but also shortens the supervision process of surge prevention and pressure relief construction originally required for 3 days to 10 minutes, realizing 100% acceptance rate of surge prevention engineering.

At the beginning of 2022, Shandong Energy, Yunding Technology and Huawei established a joint innovation center. On the basis of Shandong Energy's intelligent coal mine, Pangu Big Model has set up an artificial intelligence operation system and an artificial intelligence management system for group management and coal mine execution by virtue of its ability characteristics such as "separation of management and intelligent production","data does not leave the park","support for scale replication" and "learning and analyzing small samples", so as to promote coal mine production from artificial management to intelligent management. From passive management to active management,"two big leaps."

Zou Zhilei, chairman of Huawei Coal Mine Corps, said that artificial intelligence will continue to enable the upgrading of the mine industry and play an important role in the safety, efficiency and few people of coal mine production. In this process, Huawei will continue to deepen the industry, adhere to the ability to open Pangu model to thousands of industries, enable partners, focus on scenarios, solve problems and create value. The first commercial use of Pangu Mine Model injects new momentum into the high-quality development of coal mining industry and even the entire energy industry.

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