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Journal of Kunming Metallurgy College ›› 2025, Vol. 41 ›› Issue (3): 1-.DOI: 10.3969/j.issn.1009-0479.2025.03.001

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Research on the Construction of Intelligent Mining Planning TechnologySystem for Mines Based on 3DMine + Self Developed Tools + SuperMap

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  1. 1. Information 'T'echnology Research Institute, Power China Kunming Engineering Co., Ltd., Kunming 650051, China;Faculty of Engineering Training and lnnovation Entrepreneurship, Kunming Metallurgy College, Kunming 650033, China
  • Received:2024-06-19 Online:2025-06-07 Published:2025-09-22

Abstract: The concept of “ green sand and gravel, smart mining” has accelerated the nationwide devel-opment of the sand and gravel industry towards scaling and industrialization. Based on the constructionstandards and requirements for the “ green sand and gravel, smart mine” at Chengxi Stone Quarry in Hua-shan Town, Huadu District, Guangzhou City, this study focuses on building a new intelligent miningplanning technology system for green mines. The technology route is based on 3DMine, self-developedtools, and SuperMlap. On the foundation of using 3DMine for constructing sand and gravel mine models,self-developed tools were used to automate the analysis and generation of mining and stripping plans. Finally, using the B/S architecture, SuperMlap was applied to construct and display a digital twin of the in-telligent mining planning results. Through practical verification in the smart mining project of the granitemine for construction in Chengxi Stone Quarry, Huashan Town, Huadu District, Guangzhou City, the in-telligent mining planning technology system based on 3DMine, self-developed tools, and SuperMap isfound to be compatible with the new green sand and gravel industry structure. It demonstrates high engineering implementation value and feasibility, providing new solutions and reference directions for othermining enterprises in the field of intelligent mining planning.

Key words: green sand and gravel, smart mining, intelligent mining planning, digital twin, technology system