耿志强,博士,教授,博士生导师

发布人:信息学院发布时间:2020-03-31浏览次数:298

    耿志强,教授,博导,现为智能过程系统工程教育部工程研究中心副主任、北京化工大学数据科学与工程研究中心主任、中国自动化学会理事、北京自动化学会常务理事、北京人工智能学会常务理事、中国化工学会信息技术应用专委会委员/副秘书长、中国自动化学会过程控制专委会委员、技术过程故障诊断与安全性专委会委员、环境感知与保护自动化专委会委员等学术兼职。

    主持石化过程智能控制、大数据分析、机器学习、生产安全控制与节能降耗等方向的国家863计划、国家重点研发计划、国家自然科学基金、教育部项目、贵州省大数据专项、以及中石化、中石油工程智能应用项目20余项。获省部级科技进步一等奖2项、二等奖1项,获国家发明专利、国家软件著作权30余项,发表学术论文100余篇。研究方向为工业大数据与机器学习、智能优化与控制、异常监测与故障诊断等领域。


主要科研项目 Research Projects

项目名称项目来源
食品安全社会共治信息技术应用示范项目-课题三“食品安全多源异构数据融合与挖掘技术研究与平台建设”国家重点研发计划
工业控制系统安全保护技术应用示范-课题一“工控系统安全主动防御机制及体系研究“国家重点研发计划
多源数据融合集成与分析技术研究-课题四“多源异构数据的深度知识融合理论和技术研究”贵州省科技计划项目
基于大数据和领域知识驱动的食品安全预警方法及关键技术研究国家自然科学基金面上项目
化工过程复杂数据网络故障诊断方法研究国家自然科学基金面上项目


学术论文 Research Publications

    ● Geng, Z., Zhang, Y., Li, C., Han, Y.*, Cui, Y., Yu, B. Energy optimization and prediction modeling of petrochemical industries: An improved convolutional neural network based on cross-feature. Energy, 2020, 194: 116851.(TOP/SCI, 一区, IF= 5.537)

    ● Yongming Han, Rundong Zhou , Zhiqiang Geng*, Ju Bai , Bo Ma *, Jinzhen Fan. A novel data envelopment analysis cross-model integrating interpretative structural model and analytic hierarchy process for energy efficiency evaluation and optimization modeling: Application to Ethylene Industries. Journal of Cleaner Production 246 (2020): 118965 (TOP/SCI) 一区IF= 6.524

    ● Zhiqiang Geng, Guofei Chen, Yongming Han ∗, Fang Li, Gang Lu, Qing Wei*.  Semantic relation extraction using sequential and tree-structured LSTM with attention. Information Sciences  509 (2020) 183–192  .  (TOP/SCI) 二区 IF= 5.524

    ● Bo Ma#, Yongming Han#,*, Shiying Cui, Zhiqiang Geng*, Hongda Li, Chong Chu. Risk early warning and control of food safety based on an improved analytic hierarchy process integrating quality control analysis method. Food Control. 108(2020), 106824. (TOP/SCI) 二区 IF=4.248

    ● Yongming Han, Chenyu Fan, Meng Xu, Zhiqiang Geng*, Yanhua Zhong. Production capacity analysis and energy saving of complex chemical processes using LSTM based on attention mechanism. Applied Thermal Engineering. 2019, 160, 114072. (TOP/SCI)   二区 IF= 4.026

    ● Yunfei Cui#, Yongming Han#, Zhiqiang Geng*; Qunxiong Zhu*, Jinzhen Fan, Production Optimization and Energy Saving of Complex Chemical Processes using Novel Competing Evolutionary Membrane Algorithm: Emphasis on Ethylene Cracking. Energy Conversion and Management, 196 (2019) 311–319. (TOP/SCI)   一区  IF=7.181

    ● Yongming Han, Shiying Cui, Zhiqiang Geng*, Chong Chu, Kai chen, Yajie Wang. Food quality and safety risk assessment using a novel HMM method based on GRA. Food Control 105 (2019) 180–189. (TOP/SCI) 二区 IF=4.248

    ● Zhiqiang Geng, Rongfu Zeng, Yongming Han *, Yanhua Zhong, Hua Fu. Energy efficiency evaluation and energy saving based on DEA integrated affinity propagation clustering: Case study of complex petrochemical industries. Energy, 2019,179: 863-875.   (TOP/SCI)  一区  IF=5.537

    ● Yongming Han, Chang Long, Zhiqiang Geng*, Qunxiong Zhu*, Yanhua Zhong. A novel DEACM integrating Affinity Propagation for performance evaluation and energy optimization modeling: Application to complex petrochemical. Energy Conversion and Management, 2019 ,183 , 349–359. (TOP/SCI)   一区  IF=7.181

    ● Zhiqiang Geng, Qingchao Meng, Ju Bai, Jie Chen, Yongming Han ∗, Qing Wei*, Zhi Ouyang.  A model-free Bayesian classifier. Information Sciences  482(2019) 171–188 .  (TOP/SCI) 二区 IF= 5.524

    ● Xiaoyong Lin, Shiying Cui, Yongming Han*, Zhiqiang Geng*, Yanhua Zhong. An improved ISM method based on GRA for hierarchical analyzing the influencing factors of food safety. Food Control.2019,  99: 48-56 (TOP/SCI) 二区 IF=4.248(高被引)

    ● Yongming Han, Hao Wu, Minghui Jia, Zhiqiang Geng*, Yanhua Zhong. Production capacity analysis and energy optimization of complex petrochemical industries using novel extreme learning machine integrating affinity propagations. Energy Conversion and Management, 2019, 99, 48–56. (TOP/SCI)   一区  IF=7.181

    ● Zhiqiang Geng, Dirui Shang, Yongming Han*,Yanhua Zhong. Early warning modeling and analysis based on a deep radial basis function neural network integrating an analytic hierarchy process: A case study for food safety. Food Control.2019,96:329-342 (TOP/SCI) 二区 IF=4.248 (高被引)

    ● Zhiqiang Geng, Xuan Hu, Yongming Han*, Yanhua Zhong, A novel leakage detection method based on the sensitivity matrix of the pipe flow: Case study of water distribution systems. Journal of Water Resources Planning and Management. 2019, 145(2): 04018094-1-12 ( SCI)二区 IF=3.404

    ● Yuan Xu, Mingqing Zhang, Liangliang Ye, Qunxiong Zhu , Zhiqiang Geng, Yan-Lin He, YongmingHan*. A novel prediction intervals method integrating an error and selffeedback extreme learning machine with particle swarm optimization for energy consumption robust prediction. Energy, 164 (2018) 137-146.   (TOP/SCI)  一区 IF=5.537

    ● Zhiqiang Geng,HongdaLi,QunxiongZhu,YongmingHan*. Production prediction and energy-saving model based on Extreme Learning Machine integrated ISM-AHP: Application in complex chemical processes . Energy, 2018, 160: 898-909.   (TOP/SCI)  一区  IF=5.537

    ● Zhiqiang Geng, Ju Bai, Deyang Jiang, Yongming Han*.Energy structure analysis and energy saving of complex chemical industries:A novel fuzzy interpretative structural model. Applied Thermal Engineering 142 (2018) 433–443.  (TOP/SCI)二区  IF=4.026

    ● Yongming Han, Qing Zeng, Zhiqiang Geng*, Qunxiong Zhu*. Energy management and optimization modeling based on a novel fuzzy extreme learning machine: Case study of complex petrochemical industries. Energy Conversion and Management, 2018, 145, 41–52. (TOP/SCI)   一区 IF=7.181

    ● Yongming Han, Chang Long, Zhiqiang Geng*, Keyu Zhang*. Carbon emission analysis and evaluation of industrial departments in China: An improved environmental DEA cross model based on information entropy[J]. Journal of Environmental Management, 2018, 205: 298-307. (Top、SCI)   二区, IF=4.865

    ● Zhiqiang Geng, Yanan Li, Yongming Han*, Qunxiong Zhu*. A Novel Self-Organizing Cosine Similarity Learning Network: An Application to Production Prediction of Petrochemical Systems. Energy, 2018, 142: 400-410.  (TOP/SCI)  一区  IF=5.537

    ● Zhiqiang Geng, Zhongkun Li  , Yongming Han ∗.  A new deep belief network based on RBM with glial chains. Information Sciences 463–464 (2018) 294–306 .  (TOP/SCI) 二区 IF= 5.524

    ● Zhiqiang Geng, Jungen Dong, Yongming Han*, Qunxiong Zhu*. Energy and environment efficiency analysis based on an improved environment DEA cross-model: Case study of complex chemical processes. Applied Energy, 2017, 205, 465-476. (TOP/SCI)  一区 IF= 8.426

    ● Zhiqiang Geng, Huachao Gao, Yanqing Wang, Yongming Han*, Qunxiong Zhu*. Energy saving analysis and management modeling based on index decomposition analysis integrated energy saving potential method: Application to complex chemical processes. Energy Conversion and Management, 2017, 145, 41–52. (TOP/SCI)   一区 IF= 7.181

    ● Yunfei Cui, Zhiqiang Geng*, Qunxiong Zhu. Yongming Han*. Review: Multi-objective optimization methods and application in energy saving. Energy 2017, 125, 681-704 ( TOP/SCI)  一区  IF=5.537 (高被引)

    ● Zhiqiang Geng, Xiao Yang, Yongming Han*, Qunxiong Zhu*. Energy optimization and analysis modeling based on extreme learning machine integrated index decomposition analysis: Application to complex chemical processes. Energy 2017,120, 67-78 (TOP/SCI)  一区 IF=5.537

    ● Zhiqiang Geng, Lin Qin, Yongming Han*, Qunxiong Zhu*. Energy saving and prediction modeling of petrochemical industries: A novel ELM based on FAHP. Energy 2017,122, 350-362 (TOP/SCI) 一区  IF=5.537

    ● Yongming Han, Qunxiong Zhu, Zhiqiang Geng*, Yuan Xu*. Energy and carbon emissions analysis and prediction of complex petrochemical systems based on an improved extreme learning machine integrated interpretative structural model. Applied Thermal Engineering. 2017, 115, 280-291. (TOP/SCI)  二区  IF=4.026

    ● Yongming Han, Zhiqiang Geng*, Yixin Qu, Qunxiong Zhu*. Linear optimization fusion model based on fuzzy C-means: Case study of energy efficiency evaluation in ethylene product. Journal of Analytical and Applied Pyrolysis 2017,125, 347–355 (TOP/SCI)  二区,IF=3.47

    ● Zhiqiang Geng, Shanshan Zhao, Guangcan Tao, Yongming Han*. Early warning modeling and analysis based on analytic hierarchy process integrated extreme learning machine (AHP-ELM): Application to food safety. Food Control 2017, 78, 33-42. (TOP/SCI)   二区 IF=4.248

    ● Zhiqiang Geng, Jungen Dong, Jie Chen, Yongming Han*. A new Self-Organizing Extreme Learning Machine soft sensor model and its applications in complicated chemical processes. A new Self-Organizing Extreme Learning Machine soft sensor model and its applications in complicated chemical processes. Engineering Applications of Artificial Intelligence. 2017, 62, 38-50.(SCI) 二区  IF=3.526

    ● Zhiqiang Geng, Jie Chen, Yongming Han*. Energy Efficiency Prediction Based on PCA-FRBF Model: A Case Study of Ethylene Industries. IEEE Transactions on Systems Man Cybernetics-Systems. 2017, 47(8),1763-1773. (TOP、SCI)   一区 IF=7.351

    ● Zhiqiang Geng, Zun Wang, Chenglong Peng, Yongming Han*. A New Fuzzy Process Capability Estimation Method Based on Kernel Function and FAHP. IEEE Transactions on Engineering Management, 2016, 63(2): 177-188. (SCI)  三区 IF=1.867

    ● Yongming Han, Zhiqiang Geng*, Zun Wang, Peng Mu. Performance analysis and optimal temperature selection of ethylene cracking furnaces: A data envelopment analysis cross-model integrated analytic hierarchy process. Journal of Analytical and Applied Pyrolysis 2016,122, 35–44 (SCI)  二区,IF=3.47

    ● Zhiqiang Geng, Zun Wang, Qunxiong Zhu, Yongming Han*. Multi-objective operation optimization of ethylene cracking furnace based on AMOPSO algorithm. Chemical Engineering Science. 2016,153, 21–33(TOP/SCI)   二区  IF=3.372

    ● Yongming Han, Zhiqiang Geng*, Qunxiong, Zhu*. Energy optimization and prediction of complex petrochemical industries using an improved artificial neural network approach integrating data envelopment analysis. Energy Conversion and Management 2016,124, 73–83 (TOP /SCI) 一区  IF=7.181

    ● Yongming Han, Zhiqiang Geng*, Qunxiong Zhu*, Yixin Qu. Energy efficiency analysis method based on fuzzy DEA cross-model for ethylene production systems in chemical industry. Energy. 2015, 83, 685-695.(TOP/SCI)  一区  IF=5.537

    ● Yongming Han, Zhiqiang Geng*, Xiangbai Gu*, Zun Wang. Performance Analysis of China Ethylene Plants by Measuring Malmquist Production Efficiency Based on an Improved Data Envelopment Analysis Cross-Model. Industrial and Engineering Chemistry Research 2015,54, 272-284.(TOP/SCI)  二区  IF=3.375

    ● Yongming Han, Zhiqiang Geng*, Xiangbai Gu, Qunxiong Zhu*. Energy Efficiency Analysis based on DEA Integrated ISM: A Case Study for Chinese Ethylene Industries. Engineering Applications of Artificial Intelligence. 2015, 45, 80-89. (SCI)   二区 IF= 3.526

    ● Yongming Han, Zhiqiang Geng*. Energy Efficiency Hierarchy Evaluation based on Data envelopment analysis and its application in Petrochemical Process. Chemical Engineering and Technology, 2014, 37(12), 2085–2095(SCI)  二区  IF=2.418


研究成果 Research Achievements

    1.针对难以建立过程数学模型的复杂石化工业过程,提出了基于数据和知识驱动的协调建模架构以及自组织神经网络和机理协调的石化过程建模方法,并进行具体的工业应用。

    2.针对复杂石化过程的运行优化问题,提出了石化过程多层次、多目标的运行优化方法以及动态多目标智能优化决策算法,并进行了工业应用。

    3.针对复杂石化过程节能降耗和环境减排问题,提出了基于数据融合的化工生产全流程能效评价、节能潜力分析与运行优化方法,并进行工业应用。

    4.针对石化过程安全运行与智能管控,提出了化工过程“异常检测-报警管理-故障诊断-事故模拟-应急处理”的化工安全系统整体解决方案,并进行了工业应用。

    5.针对食品安全问题,建立了食品安全全链条的风险预测预警与追溯大数据平台,并进行了实际应用。