Key technologies of a full mine artificial intelligence (AI) supervision platform

SUN Xiaodong

doi:10.13347/j.cnki.mkaq.2023.12.027

Safety in Coal Mines > 2023 > 54(12): 220-226. > DOI: 10.13347/j.cnki.mkaq.2023.12.027

SUN Xiaodong. Key technologies of a full mine artificial intelligence (AI) supervision platform[J]. Safety in Coal Mines, 2023, 54(12): 220-226. DOI: 10.13347/j.cnki.mkaq.2023.12.027

Citation:

SUN Xiaodong. Key technologies of a full mine artificial intelligence (AI) supervision platform[J]. Safety in Coal Mines, 2023, 54(12): 220-226. DOI: 10.13347/j.cnki.mkaq.2023.12.027

Citation:

SUN Xiaodong. Key technologies of a full mine artificial intelligence (AI) supervision platform[J]. Safety in Coal Mines, 2023, 54(12): 220-226. DOI: 10.13347/j.cnki.mkaq.2023.12.027

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Key technologies of a full mine artificial intelligence (AI) supervision platform

SUN Xiaodong^{1, 2,}

1.
China Coal Technology and Engineering Group Shenyang Research Institute, Fushun 113122, China
2.
State Key Laboratory of Coal Mine Safety Technology, Fushun 113122, China

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Received Date: October 26, 2023
Available Online: December 21, 2023

Graphical Abstract

Abstract

Abstract

Based on video perception, using networks and information technology as media, and supported by artificial intelligence and big data technology, a full mine artificial intelligence (AI) supervision platform is constructed, and the overall architecture and core scenarios of the platform is introduced; based on the design of the entire platform, key technologies such as low sample dataset enhancement technology, model training technology, data reasoning and decision-making, and microservice backend development technology were discussed. The on-site application shows that the deep learning algorithm of the entire mine artificial intelligence (AI) supervision platform has an accuracy rate of over 90% in mining image classification, and an accuracy rate of over 80% in object detection.
- coal mine safety supervision platform,
- artificial intelligence,
- visual recognition,
- micro services,
- deep learning algorithm

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References (19)

References

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Key technologies of a full mine artificial intelligence (AI) supervision platform