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Coal Engineering ›› 2026, Vol. 58 ›› Issue (8): 193-202.doi: 10.11799/ce202608024

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Construction of an intelligent open-pit mining technology system driven by knowledge graph

  

  • Received:2025-11-25 Revised:2026-03-16 Online:2026-08-15 Published:2026-08-31

Abstract:

To systematically integrate the key technologies of intelligent open-pit mines and improve the level of green and efficient production in mines, this paper proposes a method for constructing a technology system that integrates CiteSpace knowledge graph and expert investigation method. Based on 1182 documents and multi-source data, the study adopts the DA-BERT-BiLSTM-CRF model to extract technical entities, constructs a domain knowledge graph through entity alignment and knowledge fusion, and establishes the corresponding technology system by combining expert questionnaires. The results show that the F1-score of the DA-BERT-BiLSTM-CRF model for technical entity extraction reaches 0.912; the constructed domain knowledge graph covers four types of entities, namely technology, environment, process, and equipment; the established intelligent open-pit mine technology system covers four major links: drilling and blasting, loading, transportation, and dumping, and clarifies the key technology integration path and its comprehensive optimization effect on production efficiency, cost control, and environmental governance. This technology system construction method can effectively integrate the key technologies of intelligent open-pit mines, provide strong technical support for the green and efficient production of mines, and the revealed key technology integration path can also provide important reference for the practice of mine production optimization.

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