A review of intelligent coal gangue separation technology and equipment development

References

• Aberkane, S., A. M. Messaoud, K. Yahiaoui, C. Mahieddoune, S. Abdelli-Messaci, and M. A. Harith. 2018. Depth profiling of alumina thin films using laser induced breakdown spectroscopy: Structural and morphological dependence. Thin Solid Films 653 (May 1):293–300. doi:10.1016/j.tsf.2018.03.052.
   Google Scholar
• Alfarzaeai, M. S., Q. Niu, J. Q. Zhao, R. M. A. Eshaq, and E. Y. Hu. 2020. Coal/gangue recognition using convolutional neural networks and thermal images. Institute of Electrical and Electronics Engineers Access 8:76780–89. doi:10.1109/ACCESS.2020.2990200.
   Google Scholar
• Anarghya, A., A. Anarghya, and M. Al Adhoubi. 2020. A study on the behavior of CO2 corrosion on pipeline using computational fluid dynamics, experimental and artificial neural network approach. Engineering Research Express 2 (2):025012. doi:10.1088/2631-8695/ab69d6.
   Google Scholar
• Ashfaq, M., M. Lal, M. Heera, and A. B. Arif. 2020. Carbon footprint analysis of coal gangue in geotechnical engineering applications. Indian Geotechnical Journal 50 (4):646–54. doi:10.1007/s40098-019-00389-z.
   Web of Science ®Google Scholar
• Bacal, M., and M. Wada. 2020. Negative ion source operation with deuterium. Plasma Sources Science and Technology 29 (3):3. doi:10.1088/1361-6595/ab6881.
   Web of Science ®Google Scholar
• Cavalcanti, C., A. Halisson, S. D. B. Melo, D. A. Silva, M. Ricardo, and L. D. Carvalho. 2021. Spectral analysis and optimization of the condition number problem. Computer Physics Communications 258:258. doi:10.1016/j.cpc.2020.107587.
   Web of Science ®Google Scholar
• Chen, L. 2016. The application of TBS interference bed sorter in qixing coal preparation plant. Shandong Industrial Technology 15:40–40. doi:10.16640/j.cnki.37-1222/t.2016.15.35.
   Google Scholar
• Chen, Q. 2015. The application of TBS interference bed separator for coarse slime in shaqu coal preparation plant. Coal and Chemical Industry (In Chinese) 38 (4):111–13.
   Google Scholar
• Ding, K. J., and J. S. Laskowski. 2006. Coal reverse flotation. Part I: Separation of a mixture of subbituminous coal and gangue minerals. Minerals Engineering 19 (1):72–78. doi:10.1016/j.mineng.2005.07.011.
   Web of Science ®Google Scholar
• Dong, W. H. 2017. Application of heavy medium shallow trough separator in cold well coal preparation plant. Coal and Chemical Industry 6:86–88. doi:10.19286/j.cnki.cci.2017.06.028.
   Google Scholar
• Du, Q. 2021. Optimization and transformation of shallow trough heavy medium separator in coal preparation plant. Coal and Chemical Industry (In Chinese) 44 (12):86–90. doi:10.19286/j.cnki.cci.2021.12.025.
   Google Scholar
• Du, X. W. 2017. The 13th five-year period: A key period of China’s energy low-carbon transition. Electric Power 50 (2):1–4. doi:10.11930/j.issn.l004-9649.2017.02.001.04.
   Google Scholar
• Fredenberg, E. 2018. Spectral and dual-energy X-ray imaging for medical applications. Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 878:74–87. doi:10.1016/j.nima.2017.07.044.
   Google Scholar
• Fuentes, R., D. Luarte, C. Sandoval, A. K. Myakalwar, J. Yanez, and D. Sbarbaro. 2021. Data fusion of laser induced breakdown spectroscopy and diffuse reflectance for improved analysis of mineral species in copper concentrates. Minerals Engineering 173:107193. doi:10.1016/j.mineng.2021.107193.
   Web of Science ®Google Scholar
• Fu, C. C., F. L. Lu, and G. Y. Zhang. 2020. Discrimination analysis of coal and gangue using multifractal properties of optical texture. International Journal of Coal Preparation & Utilization 42 (7):1925–37. doi:10.1080/19392699.2020.1789974.
   Google Scholar
• Gao, C., and X. N. Fan. 2010. Application of spiral separator at panyi coal preparation plant. Coal Processing & Comprehensive Utilization 2:25–28. doi:10.16200/j.cnki.11-2627/td.2010.02.014.
   Google Scholar
• Guo, Y. C., L. He, P. Z. Liu, and X. Wang. 2021. Multi-dimensional analysis and recognition method of coal and gangue dual-energy X-ray images. Journal of China Coal Society (In Chinese) 46 (1):300–09. doi:10.13225/j.cnki.jccs.2020.1626.
   Google Scholar
• Guo, Y. C., X. Q. Wang, S. Wang, K. Hu, and W. S. Wang. 2021. Identification method of coal and coal gangue based on dielectric characteristics. Institute of Electrical and Electronics Engineers Access 9:9845–54. doi:10.1109/ACCESS.2021.3050196.
   Google Scholar
• Han, W., and W. M. Deng. 2021. Experimental study and prospect of photoelectric separation in a copper ore. Copper Engineering (In Chinese) 3:40–43.
   Google Scholar
• Han, H. J., S. H. Wang, K. Gao, Z. L. Wang, C. Zhang, M. Yang, K. Zhang, and P. P. Zhu. 2016. Preliminary research on dual-energy X-ray phase-contrast imaging. Chinese Physics C 40 (4):147–54. doi:10.1088/1674-1137/40/4/048201.
   Web of Science ®Google Scholar
• Hei, D. Q., C. Cheng, W. B. Jia, Q. Shan, and Y. S. Ling. 2014. Preliminary study of sample uniformity impact on the elemental analysis in PGNAA technique. Nuclear Techniques (In Chinese) 37 (6):21–25. doi:10.11889/j.0253-3219.2014.hjs.37.060202.
   Google Scholar
• He, L., S. Wang, Y. C. Guo, K. Hu, G. Cheng, and X. Q. Wang. 2022. Study of raw coal identification method by dual-energy X-ray and dual-view visible light imaging. International Journal of Coal Preparation & Utilization 43 (2):361–76. doi:10.1080/19392699.2022.2051013.
   Web of Science ®Google Scholar
• He, J. F., Y. M. Zhao, Y. Q. He, Z. F. Luo, and C. L. Duan. 2015. Comparison of coal separation characteristics based on different separating approaches in dry coal beneficiation flowsheet. Journal of Central South University 22 (5):1651–59. doi:10.1007/s11771-015-2683-7.
   Web of Science ®Google Scholar
• Hou, W. 2019. Identification of coal and gangue by feed-forward neural network based on data analysis. International Journal of Coal Preparation & Utilization 39 (1):33–43. doi:10.1080/19392699.2017.1290609.
   Web of Science ®Google Scholar
• Hou, X. X., and C. He. 2015. The application of TBS interference bed sorter in huangling No.1 coal mine coal preparation plant. Coal Quality Technology 2:69–70,72. doi:10.3969/j.issn.1007-7677.2015.02.019.
   Google Scholar
• Huang, X. Y. 2014. Application study on using of spiral separator in coal slime separation process. Coal Technology 33 (6):220–23. doi:10.13301/j.cnki.ct.2014.06.088.
   Google Scholar
• Hudson, S. W., J. Craparo, R. De, and A. D. Apelian. 2017. Applications of laser-induced breakdown spectroscopy (LIBS) in molten metal processing. Metallurgical and Materials Transactions B 48 (5):2731–42. doi:10.1007/s11663-017-1032-7.
   Google Scholar
• Hwang, H., and G. Cho. 2020. Global least squares path modeling: A full-information alternative to partial least squares path modeling. Psychometrika 85 (4):947–72. doi:10.1007/s11336-020-09733-2.
   PubMed Web of Science ®Google Scholar
• Hyunwoo, L., C. Hyosung, L. Hunwoo, and J. Duhee. 2022. Quantification of dark-field effects in single-shot grid-based x-ray imaging. Journal of Optics (United Kingdom) 24 (3):035608. doi:10.1088/2040-8986/ac3f93.
   Google Scholar
• Kasim, A. F. A., M. A. Wakil, K. Grant, M. Hearn, and Z. T. Alwahabi. 2022. Aqueous ruthenium detection by microwave-assisted laser-induced breakdown spectroscopy. Plasma Science & Technology 24 (8):41–48. doi:10.1088/2058-6272/ac6733.
   Web of Science ®Google Scholar
• Khanchi, A. R., H. Sedighi, S. Ansar, and J. Fasihi. 2014. Preconcentration of rare earth elements from Iranian monazite ore by spiral separator using multi-response optimization method. International Journal of Mining Science and Technology 24 (1):117–21. doi:10.1016/j.ijmst.2013.12.020.
   Google Scholar
• Li, H. 2019. Maintenance and improvement of structural components of shallow trough heavy medium separator in coal preparation plant. Mechanical Management and Development (In Chinese) 34 (10):273–4, 276. doi:10.16525/j.cnki.cn14-1134/th.2019.10.115.
   Google Scholar
• Li, M., X. L. He, Y. Duan, and M. L. Yang. 2021. Experimental study on the influence of external factors on image features of coal and gangue. International Journal of Coal Preparation & Utilization 42 (9):2770–87. doi:10.1080/19392699.2021.1901692.
   Google Scholar
• Li, G. Z., B. Klein, C. B. Sun, and J. Kou. 2020. Applying receiver-operating-characteristic (ROC) to bulk ore sorting using XRF. Minerals Engineering 146:106117. doi:10.1016/j.mineng.2019.106117.
   Web of Science ®Google Scholar
• Li, G. Z., B. Klein, C. B. Sun, and J. Kou. 2021. Lab-scale error analysis on X-ray fluorescence sensing for bulk ore sorting. Minerals Engineering 164:164. doi:10.1016/j.mineng.2021.106812.
   Web of Science ®Google Scholar
• Liu, M. B., W. Z. Yin, Y. X. Han, and Z. Q. Sun. 2012. The study on the X-Ray separator and its pre-sorting test of the low grade ore of mo and Ni. Mining and Metallurgy (In Chinese) 21 (4):26–29. doi:10.3969/j.issn.1005-7854.2012.04.007.
   Google Scholar
• Li, J. Y., and J. M. Wang. 2019. Comprehensive utilization and environmental risks of coal gangue: A review. Journal of Cleaner Production 239. doi:10.1016/j.jclepro.2019.117946.
   Web of Science ®Google Scholar
• Li, L. H., H. J. Wang, and L. An. 2015. Research on recognition of coal and gangue based on image processing. World Journal of Engineering 12 (3):247–54. doi:10.1260/1708-5284.12.3.247.
   Google Scholar
• Li, G. F., D. Wang, Q. X. Liu, Y. M. Zhao, and C. L. Duan. 2022. Separation performance of 0.5–1 mm fine coal in a gas–solid fluidized bed without dense medium. Fuel 318:123645. doi:10.1016/j.fuel.2022.123645.
   Web of Science ®Google Scholar
• Li, W. Y., W. H. Ye, and T. Z. Xiong. 2020. Metal identification algorithm based on bp neural network for dual energy x-ray transmission. Non-Ferrous Metal Engineering (In Chinese) 10 (8):124–30. doi:10.3969/j.issn.2095-1744.2020.08.020.
   Google Scholar
• Luo, L. Q., L. Gan, X. J. Wu, A. Ji, and G. L. Liang. 2001. Correction of nonlinear matrix effects by using an algorithm of combining neural networks with fundamental parameters. Analyze Laboratory Journals 20 (1):1–4. doi:10.13595/j.cnki.issn1000-0720.2001.0001.
   Google Scholar
• Luo, X. P., K. Z. He, Y. Zhang, P. Y. He, and Y. B. Zhang. 2022. A review of intelligent ore sorting technology and equipment development. International Journal of Minerals, Metallurgy & Materials 29 (9):1647–55. doi:10.1007/s12613-022-2477-5.
   Web of Science ®Google Scholar
• Lv, Z. Q., W. D. Wang, K. H. Zhang, W. J. Li, J. D. Feng, and Z. Q. Xu. 2022. A synchronous detection-segmentation method for oversized gangue on a coal preparation plant based on multi-task learning. Minerals Engineering 187:107806–107806. doi:10.1016/j.mineng.2022.107806.
   Web of Science ®Google Scholar
• Majumder, A. K., J. P. Barnwal, and N. Ramakrishnan. 2004. A new approach to evaluate the performance of gravity-based coal washing equipment. International Journal of Coal Preparation & Utilization 24 (5–6):277–84. doi:10.1080/07349340490888995.
   Web of Science ®Google Scholar
• Meng, L. G., S. L. Gao, D. Z. Wei, B. Y. Cui, Y. B. Shen, and Z. G. Song. 2021. Investigation on the evolution of flow field stability in a spiral separator. Minerals Engineering 174:107224. doi:10.1016/j.mineng.2021.107224.
   Google Scholar
• Miao, X. X., and J. X. Zhang. 2014. Key technologies of integration of coal mining-gangue washing-backfilling and coal mining. Journal of China Coal Society 39 (8):1424–33. doi:10.13225/j.cnki.jccs.2014.9022.
   Google Scholar
• Qi, Z. Y., J. X. Guo, and T. Lian. 2018. Study on application of QG shallow trough heavy medium separator in lump coal reject discharge. Coal Engineering (In Chinese) 50 (11):71–73. doi:10.11799/ce201811018.
   Google Scholar
• Richards, R. G., D. M. MacHunter, P. J. Gates, and M. K. Palmer. 2000. Gravity separation of ultra-fine (−0.1mm) minerals using spiral separators. Minerals Engineering 13 (1):65–77. doi:10.1016/S0892-6875(99)00150-8.
   Web of Science ®Google Scholar
• Robben, C., P. Condori, A. Pinto, R. Machaca, and A. Takala. 2020. X-ray-transmission based ore sorting at the San Rafael tin mine. Minerals Engineering 145:105870. doi:10.1016/j.mineng.2019.105870.
   Web of Science ®Google Scholar
• Rocha, H. D., S. Siqueira, and R. J. Silva. 2021. Effects of coal compositions on the environment and economic feasibility of coal generation technologies. Sustainable Energy Technologies and Assessments 47:101500. doi:10.1016/j.seta.2021.101500.
   Google Scholar
• Ruan, L. J. 2022. Thinking on the future development of coal industry under the situation of “double carbon”. Coal Processing & Comprehensive Utilization 1:55–57. doi:10.16200/j.cnki.11-2627/td.2022.01.010.
   Google Scholar
• Sun, X. L., Y. H. Yue, C. X. Zhou, and Y. L. Kuang. 2021. The online correction of gamma-ray ash monitor in coal preparation plant. International Journal of Coal Preparation & Utilization 41 (2):144–57. doi:10.1080/19392699.2018.1455667.
   Web of Science ®Google Scholar
• Urbański, P., and E. Kowalska. 1995. Application of partial least-squares calibration methods in low-resolution EDXRS. X-Ray Spectrometry 24 (2):70–75. doi:10.1002/xrs.1300240209.
   Google Scholar
• Wang, F. D., and G. Y. Wei. 2006. The application of spiral sorter in coal preparation plants. Coal Processing & Comprehensive Utilization 2:15–16. doi:10.3969/j.issn.1005-8397.2006.02.006.
   Google Scholar
• Wang, Z. X., S. X. Xie, G. D. Chen, W. Z. Chi, Z. H. Ding, and P. Wang. 2021. An online flexible sorting model for coal and gangue based on multi-information fusion. Institute of Electrical and Electronics Engineers Access 9:90816–27. doi:10.1109/ACCESS.2021.3090780.
   Google Scholar
• Wei, Z. Q. 2017. Analysis on feasibility of washing down to a further reduced size with shallow-trough heavy medium separator at buliangou coal washery. Coal Preparation Technology 1:70–72. in Chinese. doi:10.16447/j.cnki.cpt.2017.01.021.
   Google Scholar
• Xie, J. C., X. F. Cai, H. Q. Yang, Q. N. Meng, B. H. Li, Y. Yan, and L. Zhao. 2022. Coal gangue data set expansion method based on DCGAN[M]. 2nd International Conference on Consumer Electronics and Computer Engineering, ICCECE 2022, Guangzhou, China, 303–08.
   Google Scholar
• Yan, B. L. 2022. Analysis on consumption and saving situation of energy in coal. Coal Processing & Comprehensive Utilization 1:43–46. doi:10.16200/j.cnki.11-2627/td.2022.01.007.
   Google Scholar
• Yang, Q. 2018. Application and fault treatment of heavy medium shallow trough separator in coal preparation plant. Coal Mine Modernization (In Chinese) 6:161–63. doi:10.13606/j.cnki.37-1205/td.2018.06.054.
   Google Scholar
• Yan, P. C., Q. S. Sun, N. N. Yin, L. L. Hua, S. H. Shang, and C. Y. Zhang. 2022. Detection of coal and gangue based on improved YOLOv5.1 which embedded scSE module*. Measurement: Journal of the International Measurement Confederation 188:110530. doi:10.1016/j.measurement.2021.110530.
   Web of Science ®Google Scholar
• Yu, X. D., Z. F. Luo, G. M. Li, and D. Q. Gan. 2019. Effects of characteristics of bed structure on separation of 6-0 mm high-sulfur fine coal in a compound dry separator. International Journal of Coal Preparation & Utilization 42 (3):286–304. doi:10.1080/19392699.2019.1599872.
   Google Scholar
• Yu, X. D., Z. F. Luo, H. B. Li, X. L. Yang, E. H. Zhou, H. S. Jiang, J. D. Wu, S. L. Song, and L. H. Cai. 2016. Effect of vibration on the separation efficiency of high-sulfur coal in a compound dry separator. International Journal of Mineral Processing 157:195–204. doi:10.1016/j.minpro.2016.10.008.
   Web of Science ®Google Scholar
• Yu, W., H. L. Zhang, X. B. Wang, Z. U. Rahman, Z. C. Shi, Y. H. Bai, G. S. Wang, Y. Q. Chen, J. J. Wang, and L. J. Liu. 2022. Enrichment of residual carbon from coal gasification fine slag by spiral separator. Journal of Environmental Management 315:115149. doi:10.1016/j.jenvman.2022.115149.
   PubMed Web of Science ®Google Scholar
• Zhai, X. 2022. Application of intelligent crude coal slme sorter in lutaishan coal preparation plant. Shanxi Coking Coal Science & Technology (In Chinese) 46 (6):23–5, 28. doi:10.3969/j.issn.1672-0652.2022.06.007.
   Google Scholar
• Zhang, L. 2020. Study on practical application of TBS interference bed separator in coal washing plant. Mechanical Management and Development (In Chinese) 35 (9):188–90. doi:10.16525/j.cnki.cn14-1134/th.2020.09.079.
   Google Scholar
• Zhang, J. X., P. Huang, Q. Zhang, M. Li, and Z. W. Chen. 2017. Stability and control of room mining coal pillars—taking room mining coal pillars of solid backfill recovery as an example. Journal of Central South University 24 (5):1121–32. doi:10.1007/s11771-017-3515-8.
   Web of Science ®Google Scholar
• Zhang, J. X., F. Ju, M. Li, N. Zhou, and Q. Zhang. 2020. Method of coal gangue separation and coordinated in-situ backfill mining. Journal of China Coal Society 45 (1):131–40. doi:10.13225/j.cnki.jccs.YG19.1826.
   Google Scholar
• Zhang, L. Z., B. F. Ni, W. Z. Tian, D. H. Huang, G. Y. Zhang, C. X. Liu, P. S. Wang, L. K. Liu, and D. H. Li. 2005. Status and development of prompt γ-ray neutron activation analysis. Atomic Energy Science and Technology 39 (3):282–88. doi:10.3969/j.issn.1000-6931.2005.03.022.
   Google Scholar
• Zhao, Y. 2016. The working principle and application of QG series shallow groove scraper heavy medium sorting machine. Coal Processing & Comprehensive Utilization 11:13–14. doi:10.16200/j.cnki.11-2627/td.2016.11.004.
   Google Scholar
• Zhao, Y. H., and J. H. Kuang. 2014. Discussion on the application of spiral separator in coal preparation plant. Shandong Coal Science & Technology 5:182–84. doi:10.3969/j.issn.1005-2801.2014.05.77.
   Google Scholar
• Zheng, K. H., C. L. Du, J. P. Li, and B. J. Qiu. 2016. Coal and gangue underground pneumatic separation effect evaluation influenced by different airflow directions. Advances in Materials Science and Engineering 2016:1–13. doi:10.1155/2016/6465983.
   Web of Science ®Google Scholar
• Zhou, J. H. 2022. Thinking on intelligent development stage of coal preparation plan. Coal Processing & Comprehensive Utilization 1:34–39. doi:10.16200/j.cnki.11-2627/td.2022.01.005.
   Google Scholar
• Zhu, P. 2023. Application of two stage spiral sorter for separating difficult to float fine coal slime process. Energy and Environmental Protection 45 (3):194–98. doi:10.19389/j.cnki.1003-0506.2023.03.033.
   Google Scholar
• Zi, W. 2015. Application of interference bed separator in slime. Inner Mongolia Coal Economy (In Chinese) 8:182–84. doi:10.13487/j.cnki.imce.007009.
   Google Scholar
• Zou, L., X. H. Yu, M. Li, M. Lei, and H. Yu. 2020. Nondestructive identification of coal and gangue via near-infrared spectroscopy based on improved broad learning[J]. IEEE Transactions on Instrumentation and Measurement 69 (10):1–1. doi:10.1109/TIM.2020.2988169.
   Web of Science ®Google Scholar