Geng Zhiqiang: Professor/PhD supervisor, School of Information Science and Technology, Beijing University of Chemical Technology.
He graduated from Zhengzhou University with a bachelor's and master's degree in Process Equipment and Control Engineering in 1997 and 2002. In 2005, he graduated from Beijing University of Chemical Technology with a doctorate degree in Control Science and Engineering. The research direction is in the fields of industrial big data and machine learning, intelligent optimization and control, abnormal monitoring and fault diagnosis. He is currently the deputy director of the Engineering Research Center of the Ministry of Education of Intelligent Process Systems Engineering, the director of the Data Science and Engineering Research Center of Beijing University of Chemical Technology, the director of the Chinese Society of Automation, the executive director of the Beijing Society of Automation, the executive director of the Beijing Society of Artificial Intelligence, the information technology application specialist of the Chinese Society of Chemical Technology Committee member/deputy secretary-general, member of the Process Control Committee of the Chinese Society of Automation, member of the Technical Process Fault Diagnosis and Safety Committee, and member of the Environmental Awareness and Protection Automation Committee. Presided over the National 863 Program, National Key Research and Development Program, National Natural Science Foundation of China, Ministry of Education Project, Big Data Special Project of Guizhou Province, and Sinopec, China Petrochemical Process Intelligent Control, Big Data Analysis, Machine Learning, Production Safety Control and Energy Saving and Consumption Reduction. There are more than 20 intelligent application projects of PetroChina Engineering. He has won 2 first prizes and 1 second prize of provincial and ministerial scientific and technological progress, more than 30 national invention patents and national software copyrights, and more than 100 academic papers published.
Research Projects
project name | project source |
Food Safety and Social Governance Information Technology Application Demonstration Project-Topic 3 Food Safety Multi-source Heterogeneous Data Fusion and Mining Technology Research and Platform Construction | National Key Program |
Industrial Control System Security Protection Technology Application Demonstration-Topic One Research on Active Defense Mechani** and System of Industrial Control System Security | National Key Program |
Research on Multi-source Data Fusion Integration and Analysis Technology-Topic 4 In-depth knowledge fusion theory and technology research on multi-source heterogeneous data | Guizhou Province Science and Technology Plan Project |
Research on food safety early warning methods and key technologies based on big data and domain knowledge | National Natural Science Foundation of China, general project |
Research on Fault Diagnosis Method of Complex Data Network in Chemical Process | National Natural Science Foundation of China, general project |
Research Paper
[1] 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)
[2] Yongming Han, Rundong Zhou , Zhiqiang Geng* , Ju Bai , Bo Ma *, Jinzhen Fan. A novel data envelopment ****ysis cross-model integrating interpretative structural model and ****ytic hierarchy process for energy efficiency evaluation and optimization modeling: Application to Ethylene Industries。Journal of Cleaner Production 246 (2020): 118965 (TOP/SCI)
[3] 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)
[4] Bo Ma#, Yongming Han#,*, Shiying Cui, Zhiqiang Geng*, Hongda Li, Chong Chu. Risk early warning and control of food safety based on an improved ****ytic hierarchy process integrating quality control ****ysis method. Food Control. 108(2020), 106824. (TOP/SCI)
[5] Yongming Han, Chenyu Fan, Meng Xu, Zhiqiang Geng*, Yanhua Zhong. Production capacity ****ysis and energy saving of complex chemical processes using LSTM based on attention mechani**. Applied Thermal Engineering. 2019, 160, 114072. (TOP/SCI)
[6] 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)
[7] Yongming Han, Shiying Cui, Zhiqiang Geng*, Chong Chu, Kai chen, Yajie Wang. Food quality and safety risk asses**ent using a novel HMM method based on GRA. Food Control 105 (2019) 180–189. (TOP/SCI)
[8] 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)
[9] 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)
[10] 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)
[11] Xiaoyong Lin, Shiying Cui, Yongming Han*, ZhiqiangGeng*, Yanhua Zhong. An improved ISM method based on GRA for hierarchical ****yzing the influencing factors of food safety. Food Control.2019, 99: 48-56 (TOP/SCI)
[12] Yongming Han, Hao Wu, Minghui Jia, Zhiqiang Geng*, Yanhua Zhong. Production capacity ****ysis 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)
[13] ZhiqiangGeng, Dirui Shang, Yongming Han*,Yanhua Zhong. Early warning modeling and ****ysis based on a deep radial basis function neural network integrating an ****ytic hierarchy process: A case study for food safety. Food Control.2019,96:329-342 (TOP/SCI)
[14] ZhiqiangGeng, 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)
[15] Yuan Xu, Mingqing Zhang, Liangliang Ye, Qunxiong Zhu , Zhiqiang Geng, Yan-Lin He, YongmingHan*. A novel prediction intervals method integrating an error & selffeedback extreme learning machine with particle swarm optimization for energy consumption robust prediction. Energy, 164 (2018) 137-146. (TOP/SCI)
[16] ZhiqiangGeng,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)
[17] Zhiqiang Geng, Ju Bai, Deyang Jiang, Yongming Han*.Energy structure ****ysis and energy saving of complex chemical industries:A novel fuzzy interpretative structural model. Applied Thermal Engineering 142 (2018) 433–443. (TOP/SCI)
[18] 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)
[19] Yongming Han, Chang Long, Zhiqiang Geng*, Keyu Zhang*. Carbon emission ****ysis 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)
[20] 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)
[21] 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)
[22] Zhiqiang Geng, Jungen Dong, Yongming Han*, Qunxiong Zhu*. Energy and environment efficiency ****ysis based on an improved environment DEA cross-model: Case study of complex chemical processes. Applied Energy, 2017, 205, 465-476. (TOP/SCI)
[23] Zhiqiang Geng, Huachao Gao, Yanqing Wang, Yongming Han*, Qunxiong Zhu*. Energy saving ****ysis and management modeling based on index decomposition ****ysis integrated energy saving potential method: Application to complex chemical processes. Energy Conversion and Management, 2017, 145, 41–52. (TOP/SCI)
[24] 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)
[25] Zhiqiang Geng, Xiao Yang, Yongming Han*, Qunxiong Zhu*. Energy optimization and ****ysis modeling based on extreme learning machine integrated index decomposition ****ysis: Application to complex chemical processes. Energy 2017,120, 67-78 (TOP/SCI)
[26] 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)
[27] Yongming Han, Qunxiong Zhu, Zhiqiang Geng*, Yuan Xu*. Energy and carbon emissions ****ysis 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)
[28] 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)
[29] Yaxun Chen, Yongming Han*, Qunxiong Zhu*. Energy and environmental efficiency evaluation based on a novel data envelopment ****ysis: An application in petrochemical industries. Applied Thermal Engineering. 2017, 119, 156-164. (TOP/SCI)
[30] Zhiqiang Geng, Shanshan Zhao, Guangcan Tao, Yongming Han*. Early warning modeling and ****ysis based on ****ytic hierarchy process integrated extreme learning machine (AHP-ELM): Application to food safety. Food Control 2017, 78, 33-42. (TOP/SCI)
[31] 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)
[32] 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)
[33] 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)
[34] Yongming Han, Zhiqiang Geng*, Zun Wang, Peng Mu. Performance ****ysis and optimal temperature selection of ethylene cracking furnaces: A data envelopment ****ysis cross-model integrated ****ytic hierarchy process. Journal of Analytical and Applied Pyrolysis 2016,122, 35–44 (SCI)
[35] 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)
[36] Yongming Han, Zhiqiang Geng *, Qunxiong, Zhu*. Energy optimization and prediction of complex petrochemical industries using an improved artificial neural network approach integrating data envelopment ****ysis. Energy Conversion and Management 2016,124, 73–83 (TOP /SCI)
[37] Yongming Han, Zhiqiang Geng*, Qunxiong Zhu*, Yixin Qu. Energy efficiency ****ysis method based on fuzzy DEA cross-model for ethylene production systems in chemical industry. Energy. 2015, 83, 685-695.(TOP/SCI)
[38] 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 & Engineering Chemistry Research 2015,54, 272-284.(TOP/SCI)
[39] 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)
[40] Yongming Han, Zhiqiang Geng*. Energy Efficiency Hierarchy Evaluation based on Data envelopment ****ysis and its application in Petrochemical Process. Chemical Engineering & Technology, 2014, 37(12), 2085–2095(SCI)
Scientific research results
1. Aiming at the complex petrochemical industrial process where it is difficult to establish a process mathematical model, a data- and knowledge-driven coordination modeling architecture and a self-organizing neural network and mechani** coordination petrochemical process modeling method are proposed, and specific industrial applications are carried out.
2. Aiming at the operation optimization problem of complex petrochemical process, a petrochemical process multi-level and multi-objective operation optimization method and dynamic multi-objective intelligent optimization decision-making algorithm are proposed, and industrial applications are carried out.
3. Aiming at the problems of energy saving and environmental emission reduction in the complex petrochemical process, a data fusion-based energy efficiency evaluation, energy saving potential ****ysis and operation optimization method for the entire chemical production process is proposed, and industrial applications are made.
4. Aiming at the safe operation and intelligent management and control of petrochemical processes, an overall chemical safety system solution of abnormal detection-alarm management-fault diagnosis-accident simulation-emergency treatment in the chemical process is proposed, and industrial applications are carried out.
5. In response to food safety issues, a big data platform for risk prediction, early warning and traceability throughout the food safety chain has been established and applied in practice.