Conference Proceedings - World Mining Congress 2026

265 scenarios, supplement multi-type mine data, and introduce advanced algorithms to improve the adaptability and accuracy of the model; Second, carry out integrated analysis of energy consumption of new energy mining trucks, construct a comprehensive energy consumption evaluation system for traditional and new energy mining trucks, and provide support for the optimization of the energy structure of the fleet; Third, develop an AI-driven real-time optimization decision-making system to realize dynamic and accurate management and control of fuel consumption; Fourth, promote the in-depth integration of digital twin and energy consumption management, construct a mine digital twin platform, and improve the refinement and forward-looking of fuel cost management and control. REFERENCES Li Liang, Wang Hongwei, Zhang Lei. Quantitative Analysis of Factors Influencing Mining Truck Fuel Consumption Based on Multi-Source Data Fusion[J]. Journal of China Coal Society, 2023, 48(5): 1876-1885. Wang Zhongxin, Xin Fengyang, Chen Hongliang, et al. Research on the Fuel Consumption Pattern and Application of Mining Trucks in Open-Pit Mines Based on Data-Driven Methods[J]. Journal of Mine Automation, 2022, 48(6): 15-26. Zhao X, Liu Y, Li H. Multi-Source Data Fusion Framework for Mining Truck Energy Efficiency Evaluation[C]. Proceedings of the 2024 International Conference on Mining Science and Technology, 2024: 456-463. Dindarloo S R, Siami-Irdemoosa E. Determinants of fuel consumption in mining trucks[J]. Energy, 2016, 112: 232-240. Feng Dukang, Zhang Ruixin, Sun Jiandong. Research on Factors Affecting Fuel Consumption of Mining Trucks Based on Regression Analysis[J]. Journal of North China Institute of Science and Technology, 2023, 20(2): 112-117. Teguh S T, Prasetyo A B, Nugroho Y S. Effect of Transport Road Slope on Fuel Consumption of Coal Mine Transport Truck[C]. E3S Web of Conferences, 2024, 412: 01025. Chen Y, Li J, Zhang M. A Real-Time Assessment Method for Road Roughness in Mining Areas Based on Vibration Signals[J]. China Journal of Highway and Transport, 2022, 35(7): 210-218. He Y, Zhang Q, Liu J. Energy Efficiency Comparison Between Electric and Diesel Mine Trucks Under Different Operating Conditions[J]. Energy Conversion and Management, 2023, 285: 116980. Elmardi K, Rezaei M, Mohammadi A. A Comparative Study of Machine Learning Algorithms for Fuel Consumption Prediction in Mining Haul Trucks[J]. Applied Soft Computing, 2023, 132: 109876. Lu Qingkui. Experimental Study on Fuel-Efficient Operation of 930E Truck[J]. Opencast Mining Technology, 2019, 34(2): 66-69. Li Liang, Wang Hongwei, Zhang Lei. Quantitative Analysis of Factors Influencing Mining Truck Fuel Consumption Based on Multi-Source Data Fusion[J]. Journal of China Coal Society, 2023, 48(5): 1876-1885. Teguh S T, Prasetyo A B, Nugroho Y S. Effect of Transport Road Slope on Fuel Consumption of Coal Mine Transport Truck[C]. E3S Web of Conferences, 2024, 412: 01025.

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