Research and application of multi-equipment autonomous mining system in the deep of Sanshandao gold mine

• Autorzy: Liu Xu , Zhan Kai , Zhang Yuan Sheng

Identyfikatory

DOI

10.24425/ams.2025.154661

• Języki publikacji: EN

Abstrakty

EN

This paper presents a comprehensive study on the development and implementation of an unmanned mining system for deep underground metal mines, focusing on the Sanshandao Gold Mine as a case study. The research addresses the challenges associated with mining in deep, challenging environments characterized by high temperatures and humidity. To address these challenges, the paper explores the theoretical foundations and key technologies of intelligent mining, aiming to minimize the underground workforce while ensuring safe and efficient operations. An unmanned mining system is designed, comprising four layers: comprehensive control, remote centralized control, mobile control center, and intelligent operation. The system integrates smart equipment, autonomous vehicle management, multi-equipment coordination, and real-time production optimization. Technologies such as image recognition, automatic control, and LiDAR are utilized in the remote control systems for rock drilling trolley, scrapers, and fixed rockbreakers. A multimodal integration network, including a fiber optic ring network, fixed wireless base stations, and WiFi base station coverage, ensures comprehensive and redundant communication services. A production and operation scheduling system is developed to provide remote control, real-time monitoring, and job statistical analysis, enhancing scheduling efficiency and production stability. The application of these innovations at the Sanshandao Gold Mine demonstrates their practical feasibility and potential to transform mining technology towards greater informatization, digitization, and intelligence. However, the study reveals that unmanned multi-equipment collaboration still lags behind manned or remotely controlled operations, with an efficiency rate of 61%. Ongoing research and development are needed to improve autonomous capabilities, enhance communication systems, and optimize system workflows to bridge this efficiency gap and promote the widespread adoption of intelligent mining technologies in the industry.

Słowa kluczowe

EN

intelligent mining technologies; multi-equipment management; unmanned mining equipment; real-time production scheduling

PL

technologia górnicza; sprzęt górniczy; planowanie produkcji

• Wydawca: Instytut Mechaniki Górotworu PAN
• Czasopismo: Archives of Mining Sciences
• Rocznik: 2025
• Tom: Vol. 70, no. 2
• Strony: 233--255
• Opis fizyczny: Bibliogr. 26 poz., rys., tab.

Twórcy

autor

Liu Xu

• University of Science and Technology Beijing, China
• Bbgrimm Technology Group, China

• https://orcid.org/0009-0003-9966-0972

autor

Zhan Kai

• Bbgrimm Technology Group, China

• https://orcid.org/0009-0005-4847-623X

autor

Zhang Yuan Sheng

• Bbgrimm Technology Group, China

• https://orcid.org/0009-0001-9441-0638

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025)