About

学术论文

  • Yang, Yuhao, et al. “Dual-modality fusion for robust coal gangue detection and three-dimensional center localization in industrial mineral sorting.” Minerals Engineering 246 (2026): 110426.
  • 郭永存,胡坤,苏国用,李德永,何磊等.矸石不出井工艺技术及装备研究进展[J/OL].煤炭科学技术,1-16[2026-06-11].https://link.cnki.net/urlid/11.2402.td.20260507.0909.002.
  • Wang W, Wang H, He L, et al. Foreign Object Detection Method for Coal Mine Conveyor Belts Based on Dynamic Snake Convolution and Spatial-Channel Synergistic Attention[J]. Engineering Research Express, 2026.
  • He L, Guo Y, Zhao Y, et al. Intelligent recognition and parameterized characterization of coal gangue distribution based on DE-XRT[J]. Powder Technology, 2026: 122553.
  • Yang, T., Guo, Y., Wang, W., Wang, S., & He, L. (2025). Regional Obstacle Detection and Distance Measurement for Rail Auxiliary Transportation Vehicles in Underground Coal Mines. IEEE Transactions on Intelligent Transportation Systems.
  • 郭永存,杨宇豪,李德永,王爽,何磊等.基于自适应低照度图像增强的煤矸实时分割方法[J/OL].煤炭科学技术,1-16[2025-12-26].https://link.cnki.net/urlid/11.2402.TD.20250708.1339.008.
  • 赵艳秋,王成军,张西洋,何磊.基于“机器人+”产教融合的人工智能类专业实践教学模式研究——以安徽理工大学为例[J].科技视界,2024,14(17):16-19.
  • 赵艳秋,陈伟,何磊.基于嵌入式平台的轻量级煤矸检测方法研究[J/OL].山西大学学报(自然科学版),1-9[2025-12-26].https://doi.org/10.13451/j.sxu.ns.2024121.
  • 郭永存,骆启生,王爽,何磊等.基于深度相机与DE-XRT双模态数据融合的煤矸识别和密度预测[J/OL].煤炭学报,1-18[2025-12-26].https://doi.org/10.13225/j.cnki.jccs.2025.0289.
  • 郭永存,骆启生,何磊,等.融合厚度信息的煤矸DE-XRT密度精准预测方法[J/OL].煤炭科学技术,1-16[2025-12-26].https://link.cnki.net/urlid/11.2402.TD.20250804.1632.007.
  • 王文善,赵艳秋,何磊,等.知识图谱赋能工程制图课程智慧化教学路径探索[J].科技视界,2025,15(25):94-96.
  • 郭永存,何磊,刘普壮,王希, 煤矸双能 X 射线图像多维度分析识别方法 [J]. 煤炭学报, 2021,01,01, 46(01): 300-309.(通讯作者,IF=5.694)
  • Shuang Wang, Lei He, Yongcun Guo, Kun Hu, Deyong Li, Yanqiu Zhao, Xin Ma. Dual-energy X-ray transmission identification method of multi-thickness coal and gangue based on SVM distance transformation [J]. Fuel, 2023, 356: 129593. (通讯作者,IF=6.7)
  • Lei He, Shuang Wang, Yongcun Guo Gang Cheng, Kun Hu, Yanqiu Zhao, Xi Wang. Multi-scale coal and gangue dual-energy X-ray image concave point detection and segmentation algorithm [J]. Measurement, 2022,06,15, 196: 111041.(IF=5.2)
  • Zhao, Y., Wang, S., Guo, Y., Cheng, G., He, L., & Wang, W. (2023). Research on the fine identification of coal types and gangue based on X-ray diffraction principle. International Journal of Coal Preparation and Utilization, 43(11), 1885-1896.
  • Luo, Q., Wang, S., Guo, Y., He, L., Cheng, G., & Li, X. (2022). Foreground segmentation and location of coal and gangue under complex similar background. Measurement Science and Technology, 34(3), 035406.
  • Zhao, Y., & He, L. (2024). Research on small target segmentation method in dual-energy X-ray images of coal and gangue based on APSO-C_Otsu. International Journal of Coal Preparation and Utilization, 44(9), 1447-1458.
  • Li, X., Wang, S., He, L., & Luo, Q. (2023). A study on the influence of particle size on the identification accuracy of coal and gangue. Gospodarka Surowcami Mineralnymi-Mineral Resources Management, 109-129.
  • Zhao, Y., Wang, S., Guo, Y., Cheng, G., He, L., & Wang, W. (2022). The identification of coal and gangue and the prediction of the degree of coal metamorphism based on the EDXRD principle and the PSO-SVM model. Gospodarka Surowcami Mineralnymi-Mineral Resources Management, 113-129.
  • Lei He,Shuang Wang,Yongcun Guo,Kun Hu,Gang Cheng, Xinquan Wang. Study of raw coal identification method by dual-energy X-ray and dual-view visible light imaging [J]. Int J Coal Prep Util, 2023,08,04: 1-16.(IF=2.0)
  • Luo Q, Wang S, Guo Y, et al. An accurate measurement method of irregular coal gangue volume based on adaptive image restoration and error compensation[J]. Measurement, 2025, 240: 115597.
  • Luo, Q., Wang, S., Li, X., & He, L. (2022). Recognition of coal and gangue based on multi-dimensional gray gradient feature fusion. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 44(3), 8060-8076.
  • Luo, Q., Wang, S., Guo, Y., He, L., & Li, X. (2023). Adaptive image enhancement and particle size identification method based on coal and gangue. Measurement Science and Technology, 34(10), 105403.
  • Lei He,Shuang Wang,Yongcun Guo,Kun Hu,Gang Cheng,Shape selection recognition and scattering distribution prediction of adhesion targets in multi-scale dual-energy X-ray images of coal and gangue [J]. Int J Coal Prep Util, 2023,02,02: 1-22.(IF=2.0)
  • Lei He,Shuang Wang,Yongcun Guo,Detection of Pits by Conjugate Lines: An Algorithm for Segmentation of Overlapping and Adhesion Targets in DE-XRT Sorting Images of Coal and Gangue [J]. Appl Sci-Basel, 2022, 12(19): 9850. (IF=2.7)
  • Luo, Q., Wang, S., Guo, Y., Li, D., He, L., & Cheng, G. (2024). Research on identification of coal and gangue under complex working conditions based on relief feature. International Journal of Coal Preparation and Utilization, 44(9), 1431-1446.
  • Zhao, Y., Wang, S., Cheng, G., & He, L. (2022). Study on coal and gangue recognition method based on the combination of X-ray transmission and diffraction principle. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 44(4), 9716-9728.
  • Lei He,Shuang Wang,Yongcun Guo,DE-XRT coal preparation image overlapping and adhesion particle segmentation method [J]. Physicochem Probl Mi, 2022, 58(6): 155840.(IF=1.047)
  • Deyong Li, Lei He, Yongcun Guo, Shang Wang, Gang Cheng,Dual-energy X-ray transmission identification method for coal and gangue with different thicknesses and densities[J]. Measurement, 2024, 225: 113718.(通讯作者,IF=5.2)
  • 何磊,郭永存,支亚,王爽,李德永,胡坤程刚,基于几何特征约束的煤矸DE-XRT精准识别方法 [J]. 煤炭科学技术, 2024,05,26, 52(5):262−275.(IF=3.258)

公开数据

发明专利

实用新型

软件著作权

  • 煤矸智能光电分选目标分布状态识别与分析系统
  • 煤矿井下柔性选矸系统
  • 煤矿井下智能选矸设备故障诊断系统
  • 煤矿井下矸石气力输送监控平台
  • 煤矿井下干选系统健康监测系统

项目经历

  • 6/19~12/20 安徽省科技重大专项,结题,参与

  • 12/21~12/23 安徽省高校协同创新项目,结题,参与

  • 12/21~12/24 安徽理工大学硕、博士研究生创新基金,结题,主持

  • 12/21~12/22 安徽省高校科研项目,结题,主持

  • 12/24~12/27 安徽理工大学人才引进基金项目,在研,主持

  • 12/24~12/26 合肥综合性国家科学中心能源研究院重大培育项目,在研,参与,R10

  • 06/25~06/27 机械工业矿山采选装备智能化重点实验室开放基金,在研,主持

  • 07/25~07/27 企业委托项目,在研,参与,R3

  • 07/25~07/27 企业委托项目,在研,参与,R3

  • 06/25~06/27 矿山智能技术与装备协同创新中心开放基金,在研,主持

  • 01/26~01/28 煤炭无人化开采数智技术全国重点实验室开放基金,在研,主持

取得荣誉

  • 安徽省优秀毕业生
  • 博士研究生国家奖学金
  • 安徽省机械工程学会优秀博士论文
  • 国家资助博士后研究人员计划
  • 中国工程机械学会博士论文激励计划
  • 中国发明协会创业奖成果奖一等奖
  • 安徽省优秀博士论文

实习实践

  • 3/19~5/19 中科光电 煤机开发部

  • 7/20~9/20 中科光电 煤机开发部

  • 7/21~9/21 中科光电 煤机开发部