Modern Mining ›› 2026, Vol. 42 ›› Issue (05): 12-15,21.
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DU Ting WANG Zhaojing MENG Shaoyong
Online:
Published:
Abstract: In view of the fragmentation of data sources,low collection efficiency,poor data consis⁃ tency and high professional operation threshold in the mining field,combined with the urgent need for digi⁃ tal transformation in the mine production line,an intelligent decision-making platform for multi-source da⁃ ta adapted to the mining scene is designed and implemented.The platform adopts the modular architecture of“data layer-service layer-application layer”. The data layer supports more than 15 types of multi-source heterogeneous data access,and adapts to Modbus TCP sensor protocol and multi-source data interface standard.The business layer realizes the standardized processing of geological,policy,market and other data through the mining-specific data governance and multi-algorithm collaboration module.The applica⁃ tion layer provides low-threshold scenario-based services for full-chain personnel such as geology,min⁃ ing,mineral processing,production,and management.The batch incremental acquisition time of the plat⁃ form can be reduced to 0.6 h,which is 83.3%~94.5% higher than that of manual acquisition. The data er⁃ ror rate is low,and the efficiency of non-professionals to generate exclusive reports is significantly higher than that of traditional methods.Some scenes of the platform have been verified by special adaptation verifi⁃ cation,which can provide efficient and landing technical solutions for the digital transformation of mining enterprises,and have wide promotion and application value.
Key words: mining digitization, multi-source data fusion, intelligent decision-making platform, multi-algorithm collaboration, low-threshold operation
DU Ting WANG Zhaojing MENG Shaoyong. Research on the Design of Multi-source Intelligent Decision-making Platform for Mining Industry and the Application of Mining Scene Adaptation[J]. Modern Mining, 2026, 42(05): 12-15,21.
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