Optimizing Material Handling Through Automation: Control Strategies for Belt Conveyor Systems in Mining Operations
Keywords:
Mineral resources, Automated control system, Belt transportationAbstract
In recent decades, China has witnessed unprecedented breakthroughs in science, technology and industrialization, which have in turn driven sustained growth in domestic material production and national energy demand. Within China's overall energy consumption structure, fossil energy still accounts for approximately 70 percent, while renewable energy has gradually expanded its share in recent years. However, constrained by the natural endowment of domestic mineral resources, the sustainable development of China's mining industry is still facing prominent structural bottlenecks, and the overall performance of existing mining equipment still leaves considerable room for functional and technological improvement. Against this background, modern large-scale mining equipment has been widely deployed in domestic production operations, among which belt conveyors have become the core material transportation equipment in mining and beneficiation processes. Specifically, the belt transportation systems currently used in China not only have strong load capacity, but also have outstanding advantages in continuous operation efficiency, which makes them an indispensable core infrastructure equipment in mining production. Therefore, only by continuously promoting the technological upgrading of belt transportation links and ensuring the efficient application of automatic control systems can the overall economic benefits of mining enterprises be fully unlocked. Based on this practical background, this study focuses on the application mechanism and practical effect of automatic control systems in mining belt transportation, aiming to provide theoretical reference and practical inspiration for the intelligent transformation of the domestic mining industry.
References
Xia, T., Xu, Y., & Shan, X. (2025, May). KOA-Monitor: A Digital Intervention and Functional Assessment System for Knee Osteoarthritis Patients. In International Conference on Human-Computer Interaction (pp. 388-405). Cham: Springer Nature Switzerland.
Xu, Y., Sun, Z., Zhen, C., Lin, Y.-S., Sarker, T. H., Thorogood, M., Lasserre, P., & Dulic, A. (2026). From Engagement to Resilience: A Systematic Review of Game-Based Learning for Environmental Resilience. Sustainability, 18(5), 2305. https://doi.org/10.3390/su18052305
Deng, X., Yang, Y., Wang, B., Zhang, X., Huang, S., Zhang, Y., & Lu, Q. (2026). LLM-MVR: LLM-Guided Multi-View Reasoning Distillation for Sarcasm Detection. Available at SSRN 6795979.
Wang, Y., Jiang, K., Zhang, T., Tian, K., & Jiang, G. (2026). QA-ReID: Quality-Aware Query-Adaptive Convolution Leveraging Fused Global and Structural Cues for Clothes-Changing ReID. arXiv preprint arXiv:2601.19133.
Li, G., Yuan, H., Chen, S., Hu, Q., Wang, J., & Jiang, K. (2026). MFT: Memory-Aware Fine-Tuning of SAM2 for Efficient Long-Sequence Video Object Segmentation. IEEE Signal Processing Letters.
Song, X. (2025). User-Centric Internal Tools in E-commerce: Enhancing Operational Efficiency Through AI Integration.
Wu, W. (2025). Construction and optimization of intelligent gateway software management platform based on jenkins cluster management under cloud edge integration architecture in industrial internet of things. Preprints, January.
Chen, J. (2025). Design Optimization of Data Pipelines in Gig Economy Platforms: Improving Data Processing Efficiency.
Y. Ding, Z. Ye, I. Xu, S. Lyu and L. Zhang, "Multi-Scale Adaptive Clustering and Local Consistency Learning for Unsupervised Clothing-Changing Person Re-Identification," in IEEE Transactions on Information Forensics and Security, vol. 21, pp. 2889-2904, 2026, doi: 10.1109/TIFS.2026.3671089.
Peng, Qucheng, Hongfei Xue, Pu Wang, and Chen Chen. "Lifelong Domain Adaptive 3D Human Pose Estimation." In Proceedings of the AAAI Conference on Artificial Intelligence, vol. 40, no. 10, pp. 8358-8366. 2026.
Narouei, F. H., Tang, Z., Wang, S. I., Hashmi, R. H., Welch, D., Sethuraman, S., ... & McNeill, V. F. (2025). Effects of germicidal far-UVC on ozone and particulate matter in a conference room. Plos one, 20(8), e0328224.
Xiao, J., Hai, L., Li, Y., Li, H., Gong, M., Wang, Z., ... & He, D. (2022). An Ultrasmall Fe3O4‐Decorated Polydopamine Hybrid Nanozyme Enables Continuous Conversion of Oxygen into Toxic Hydroxyl Radical via GSH‐Depleted Cascade Redox Reactions for Intensive Wound Disinfection. Small, 18(9), 2105465.
Shan, X., Xu, Y., Xia, T., & Lin, Y. S. (2025, October). Rethinking Wine Tasting for Chinese Consumers: A Service Design Approach Enhanced by Multimodal Personalization. In 2025 International Conference on Content-Based Multimedia Indexing (CBMI) (pp. 1-5). IEEE.
Yan, W., Wu, Y., Liang, P., Yuan, M., Liu, J., Yang, J., & Li, X. (2026, March). PRISM: Pipeline for Root-cause Investigation via Specialized Multi-agents. In 2026 International Conference on Generative Artificial Intelligence and Information Security (GAIIS) (pp. 709-712). IEEE.
Yuan, M., Liu, J., Yang, J., Li, X., Yan, W., Wu, Y., & Liang, P. (2026, March). TA-Mem: Tool-Augmented Autonomous Memory Retrieval for LLM in Long-Term Conversational QA. In 2026 9th International Conference on Advanced Algorithms and Control Engineering (ICAACE) (pp. 2684-2688). IEEE.
Zhou, Z. (2026). Bottleneck Diagnosis in International Automotive Sales Funnels Using Gradient Boosting Trees: Evidence from Cross-Regional Team Efficiency Evaluation. Journal of Computer Technology and Applied Mathematics, 3(1), 11-18.
Shen, Zepeng, et al. "Research on Application of Whale Optimization Algorithm in Financial Payment Fraud Detection." 2025 4th International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID). IEEE, 2025.
Sun, Lingxin. "Designing Inclusive Interfaces: Accessibility Challenges and Solutions in Digital Products." Proceedings of the 2025 International Conference on Artificial Intelligence and Sustainable Development. 2025.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Zhiping Yuan
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
