耿志强

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**。

    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。

邮箱：gengzq@mail.buct.edu.cn

主要科研项目 ResearchProjects

学术论文 ResearchPublications

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

    ● YongmingHan, Rundong Zhou , ZhiqiangGeng*,Ju Bai , Bo Ma *, Jinzhen Fan. A novel data envelopment analysiscross-model integrating interpretative structural model and analytichierarchy process for energy efficiency evaluation and optimizationmodeling: Application to Ethylene Industries. Journalof Cleaner Production 246(2020): 118965 (TOP/SCI) 一区IF=6.524

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

    ● BoMa#, Yongming Han#,*, Shiying Cui, ZhiqiangGeng*,Hongda Li, Chong Chu. Risk early warning and control of food safetybased on an improved analytic hierarchy process integrating qualitycontrol analysis method. FoodControl.108(2020), 106824. (TOP/SCI) 二区IF=4.248

    ● YongmingHan, Chenyu Fan, Meng Xu, ZhiqiangGeng*,Yanhua Zhong. Production capacity analysis and energy saving ofcomplex chemical processes using LSTM based on attentionmechanism. AppliedThermal Engineering.2019, 160, 114072. (TOP/SCI)   二区IF=4.026

    ● YunfeiCui#, Yongming Han#, ZhiqiangGeng*;Qunxiong Zhu*, Jinzhen Fan, Production Optimization and Energy Savingof Complex Chemical Processes using Novel Competing EvolutionaryMembrane Algorithm: Emphasis on Ethylene Cracking. EnergyConversion and Management,196 (2019) 311–319. (TOP/SCI)   一区 IF=7.181

    ● YongmingHan, Shiying Cui, ZhiqiangGeng*,Chong Chu, Kai chen, Yajie Wang. Food quality and safety riskassessment using a novel HMM method based on GRA. FoodControl 105(2019) 180–189. (TOP/SCI) 二区IF=4.248

    ● ZhiqiangGeng,Rongfu Zeng, Yongming Han *, Yanhua Zhong, Hua Fu. Energy efficiencyevaluation and energy saving based on DEA integrated affinitypropagation clustering: Case study of complex petrochemicalindustries. Energy,2019,179: 863-875.   (TOP/SCI)  一区 IF=5.537

    ● YongmingHan, Chang Long, ZhiqiangGeng*,Qunxiong Zhu*, Yanhua Zhong. A novel DEACM integrating AffinityPropagation for performance evaluation and energy optimizationmodeling: Application to complex petrochemical. EnergyConversion and Management,2019 ，183, 349–359. (TOP/SCI)   一区 IF=7.181

    ● ZhiqiangGeng,Qingchao Meng, Ju Bai, Jie Chen, Yongming Han ∗,Qing Wei*, Zhi Ouyang.  A model-free Bayesianclassifier. InformationSciences  482(2019)171–188 .  (TOP/SCI) 二区IF=5.524

    ● XiaoyongLin, Shiying Cui, Yongming Han*, ZhiqiangGeng*,Yanhua Zhong. An improved ISM method based on GRA for hierarchicalanalyzing the influencing factors of food safety. FoodControl.2019, 99: 48-56 (TOP/SCI) 二区IF=4.248(高被引)

    ● YongmingHan, Hao Wu, Minghui Jia, ZhiqiangGeng*,Yanhua Zhong. Production capacity analysis and energy optimization ofcomplex petrochemical industries using novel extreme learning machineintegrating affinity propagations. EnergyConversion and Management,2019, 99, 48–56. (TOP/SCI)   一区 IF=7.181

    ● ZhiqiangGeng,Dirui Shang, Yongming Han*,Yanhua Zhong. Early warning modeling andanalysis based on a deep radial basis function neural networkintegrating an analytic hierarchy process: A case study for foodsafety. FoodControl.2019,96:329-342(TOP/SCI) 二区IF=4.248(高被引)

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

    ● YuanXu, Mingqing Zhang, Liangliang Ye, Qunxiong Zhu , ZhiqiangGeng,Yan-Lin He, YongmingHan*. A novel prediction intervals methodintegrating an error and selffeedback extreme learning machine withparticle swarm optimization for energy consumption robustprediction. Energy,164 (2018) 137-146.   (TOP/SCI)  一区IF=5.537

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

    ● ZhiqiangGeng,Ju Bai, Deyang Jiang, Yongming Han*.Energy structure analysis andenergy saving of complex chemical industries:A novel fuzzyinterpretative structural model. AppliedThermal Engineering 142(2018) 433–443.  (TOP/SCI)二区 IF=4.026

    ● YongmingHan, Qing Zeng, ZhiqiangGeng*,Qunxiong Zhu*. Energy management and optimization modeling based on anovel fuzzy extreme learning machine: Case study of complexpetrochemical industries. EnergyConversion and Management,2018, 145, 41–52. (TOP/SCI)   一区IF=7.181

    ● YongmingHan, Chang Long, ZhiqiangGeng*,Keyu Zhang*. Carbon emission analysis and evaluation of industrialdepartments in China: An improved environmental DEA cross model basedon information entropy[J]. Journalof Environmental Management,2018, 205: 298-307. (Top、SCI)  二区，IF=4.865

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

    ● ZhiqiangGeng,Zhongkun Li  , Yongming Han ∗. A new deep belief network based on RBM with glialchains. InformationSciences 463–464(2018) 294–306 .  (TOP/SCI) 二区IF=5.524

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

    ● ZhiqiangGeng,Huachao Gao, Yanqing Wang, Yongming Han*, Qunxiong Zhu*. Energysaving analysis and management modeling based on index decompositionanalysis integrated energy saving potential method: Application tocomplex chemical processes. EnergyConversion and Management,2017, 145, 41–52. (TOP/SCI)   一区IF=7.181

    ● YunfeiCui, ZhiqiangGeng*,Qunxiong Zhu. Yongming Han*. Review: Multi-objective optimizationmethods and application in energy saving. Energy 2017,125, 681-704 ( TOP/SCI)  一区 IF=5.537(高被引)

    ● ZhiqiangGeng,Xiao Yang, Yongming Han*, Qunxiong Zhu*. Energy optimization andanalysis modeling based on extreme learning machine integrated indexdecomposition analysis: Application to complex chemicalprocesses. Energy 2017,120,67-78 (TOP/SCI)  一区IF=5.537

    ● ZhiqiangGeng,Lin Qin, Yongming Han*, Qunxiong Zhu*. Energy saving and predictionmodeling of petrochemical industries: A novel ELM based onFAHP. Energy 2017,122,350-362 (TOP/SCI) 一区 IF=5.537

    ● YongmingHan, Qunxiong Zhu, ZhiqiangGeng*,Yuan Xu*. Energy and carbon emissions analysis and prediction ofcomplex petrochemical systems based on an improved extreme learningmachine integrated interpretative structural model. AppliedThermal Engineering.2017, 115, 280-291. (TOP/SCI)  二区 IF=4.026

    ● YongmingHan, ZhiqiangGeng*,Yixin Qu, Qunxiong Zhu*. Linear optimization fusion model based onfuzzy C-means: Case study of energy efficiency evaluation in ethyleneproduct. Journalof 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 modelingand analysis based on analytic hierarchy process integrated extremelearning machine (AHP-ELM): Application to food safety. FoodControl 2017,78, 33-42. (TOP/SCI)   二区IF=4.248

    ● ZhiqiangGeng,Jungen Dong, Jie Chen, Yongming Han*. A new Self-Organizing ExtremeLearning Machine soft sensor model and its applications incomplicated chemical processes. A new Self-Organizing ExtremeLearning Machine soft sensor model and its applications incomplicated chemical processes. EngineeringApplications of Artificial Intelligence.2017, 62, 38-50.(SCI) 二区 IF=3.526

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

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

    ● YongmingHan, ZhiqiangGeng*,Zun Wang, Peng Mu. Performance analysis and optimal temperatureselection of ethylene cracking furnaces: A data envelopment analysiscross-model integrated analytic hierarchy process. Journalof Analytical and Applied Pyrolysis 2016,122,35–44 (SCI)  二区，IF=3.47

    ● ZhiqiangGeng,Zun Wang, Qunxiong Zhu, Yongming Han*. Multi-objective operationoptimization of ethylene cracking furnace based on AMOPSOalgorithm. ChemicalEngineering Science.2016,153, 21–33(TOP/SCI)   二区 IF=3.372

    ● YongmingHan, ZhiqiangGeng*,Qunxiong, Zhu*. Energy optimization and prediction of complexpetrochemical industries using an improved artificial neural networkapproach integrating data envelopment analysis. EnergyConversion and Management 2016,124,73–83 (TOP /SCI) 一区 IF=7.181

    ● YongmingHan, ZhiqiangGeng*,Qunxiong Zhu*, Yixin Qu. Energy efficiency analysis method based onfuzzy DEA cross-model for ethylene production systems in chemicalindustry. Energy.2015, 83, 685-695.(TOP/SCI)  一区 IF=5.537

    ● YongmingHan, ZhiqiangGeng*,Xiangbai Gu*, Zun Wang. Performance Analysis of China Ethylene Plantsby Measuring Malmquist Production Efficiency Based on an ImprovedData Envelopment Analysis Cross-Model. Industrialand Engineering Chemistry Research 2015,54,272-284.(TOP/SCI)  二区 IF=3.375

    ● YongmingHan, ZhiqiangGeng*,Xiangbai Gu, Qunxiong Zhu*. Energy Efficiency Analysis based on DEAIntegrated ISM: A Case Study for Chinese EthyleneIndustries. EngineeringApplications of Artificial Intelligence.2015, 45, 80-89. (SCI)   二区IF=3.526

    ● YongmingHan, ZhiqiangGeng*.Energy Efficiency Hierarchy Evaluation based on Dataenvelopment analysis and its applicationin Petrochemical Process. ChemicalEngineering and Technology,2014, 37(12), 2085–2095(SCI)  二区 IF=2.418

研究成果 ResearchAchievements

    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。