赵劲松 - 清华大学 - 化学工程系

个人简介

教育与工作经历 1987~1992 清华大学化学工程系本科 1992~1994 清华大学化学工程系硕士 1993-1997 清华大学化学工程系博士 1997~2001 美国普渡大学化工系博士后 2001~2001 美国Day & Zimmermann 公司高级工程师 2001~2005 美国AET公司高级MES工程师 2005~2008 北京化工大学信息学院教授 2008~至今清华大学化学工程系教授主要学术任职 2022年~至今　　中国工程师联合体文化与伦理委员会，副主任委员 2019年~至今　　中国化工学会工程伦理教育工作委员会，主任委员 2012年~至今　　中国系统工程学会过程系统工程专业委员会副主任会员 2016年~至今　　中国公共安全科学技术学会预测预警专业工作委员会副主任委员 2019年~至今　　国家生态环境部第一届生态环境应急专家组专家 2019年~至今　　《中国化工学报》英文版副主编 2017年~至今　　国际期刊《Process Safety and Environmental Protection》专题主编 2015年~至今　　国际期刊《Computers & Chemical Engineering》编委 2015年~至今　　中国运筹学会智能工业数据解析与优化专业委员会常务理事学术荣誉与奖励清华大学教学成果一等奖（第一获奖人，2021）清华大学先进工作者（2012-2013）中国石油和化学工业联合会科技进步一等奖（第一获奖人，2013）中国石油和化学工业联合会科技进步二等奖（第一获奖人，2016）中国石油和化学工业联合会中国石油和化学工业优秀出版物奖.教材奖一等奖（2016）中国石油和化学工业联合会中国石油和化学工业优秀出版物奖.图书奖一等奖（2020）

研究领域

长期从事化工过程安全理论和方法研究。综合运用化学工程基本原理与大数据技术和人工智能技术，发展化工安全新理论、新方法与新工具，促进化工安全智能化发展。

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Deyang Wu, Xiaotian Bi, Jinsong Zhao*. ProTopormer: Toward Understandable Fault Diagnosis Combining Process Topology for Chemical Processes. Industrial & Engineering Chemistry Research, 2023 62 (21), 8350-8361 Xiaotian Bi, Deyang Wu, Daoxiong Xie, Huawei Ye, Jinsong Zhao*. Large-scale chemical process causal discovery from big data with transformer-based deep learning. Process Safety and Environmental Protection, 2023, 173:163-177 Yiming Bai, Jinsong Zhao*. A novel transformer-based multi-variable multi-step prediction method for chemical process fault prognosis. Process Safety and Environmental Protection, 2023, 169:937-947 Ruoshi Qin， Jinsong Zhao*. Adaptive multiscale convolutional neural network model for chemical process fault diagnosis, Chinese Journal of Chemical Engineering, 2022，50：412-422 赵泽恒，赵劲松*. 基于破坏性实验和自动编码器的风机皮带剩余寿命预测。清华大学学报（自然科学版），2022，62（9）：1458-1466 Yuman Yao, Yiyang Dai*, Jinsong Zhao*. An enhanced dynamic artificial immune system based on simulated vaccine for early fault diagnosis with limited data. Process Safety and Environmental Protection. 2022，165：908-919 Shaodong Zheng and Jinsong Zhao*. A Self-Adaptive Temporal-Spatial Self-Training Algorithm for Semisupervised Fault Diagnosis of Industrial Processes. IEEE Transactions on Industrial Informatics, 2022；18（10）： 6700-6711 Shaodong Zheng, Jinsong Zhao*. High-fidelity positive-unlabeled deep learning for semi-supervised fault detection of chemical processes. Process Safety and Environmental Protection, 2022; 165:191-204 Xiaotian Bi, Ruoshi Qin, Deyang Wu, Shaodong Zheng, Jinsong Zhao*. One Step forward for smart chemical process fault detection and diagnosis. Computers & Chemical Engineering. 2022, 164: 107884 Shuaiyu Xiang, Yiming Bai, Jinsong Zhao. Medium-term prediction of key chemical process parameter trend with small data. Chemical Engineering Science, 2022, 249: 117361 Bingyu Wang, Jinsong Zhao. Automatic Frequency Estimation of Contributory Factors for Confined Space Accidents. Process Safety and Environmental Protection, 2022; 157：193-207 Xiaotian Bi, Jinsong Zhao. A novel orthogonal self-attentive variational autoencoder method for interpretable chemical process fault detection and identification.Process Safety and Environmental Protection, 2021; 156:581-597 Deyang Wu, Jinsong Zhao. Process topology convolutional network model for chemical process fault diagnosis. Process Safety and Environmental Protection, 2021；150：93-109 赵劲松，粟镇宇，贺丁，袁志涛等.《化工过程安全管理》，北京：化学工业出版社，2021 赵劲松*，邱彤，陈丙珍。工程伦理教育在工科通识教育中的作用和实践。自然辩证法通讯。 2021；43（1）：115-120 秦若时，赵劲松*。新冠肺炎疫情背景下工程伦理教育的教学探究与实践延伸。化工高等教育。2020；6：1-6 Hao Wu, Jinsong Zhao*. Self-adaptive deep learning for multimode process monitoring. Computers & Chemical Engineering. 2020；141: 107024 Shaodong Zheng, Jinsong Zhao*. A new unsupervised data mining method based on the stacked autoencoder for chemical process fault diagnosis. Computers & Chemical Engineering. 2020；135: 106755 Hao Wu, Jinsong Zhao*. Fault detection and diagnosis based on transfer learning for multimode chemical Processes. Computers & Chemical Engineering. 2020；135: 106731 Qiaoling Chen, Maureen Wood, Jinsong Zhao*. Case study of the Tianjin accident: Application of barrier and systems analysis to understand challenges to industry loss prevention in emerging economies. Process Safety and Environmental Protection. 2019；131: 178-188 Feifan Cheng, Q. Peter He*, Jinsong Zhao*. A novel process monitoring approach based on variational recurrent autoencoder. Computers & Chemical Engineering. 2019; 129:1-13 Hao Wu, Deyang Wu, Jinsong Zhao*. An intelligent fire detection approach through cameras based on computer vision methods. Process Safety and Environmental Protection. 2019; 127:245-256 Hao Wu, Jinsong Zhao*. An intelligent vision-based approach for helmet identification for work safety. Computers in Industry. 2018; 100:267-277 Hao Wu, Jinsong Zhao*. Deep convolutional neural network model based chemical process fault diagnosis. Computers & Chemical Engineering. 2018; 115:185-197 Hao Wu, Penarrubia Igor, Lin Cui, Jinsong Zhao*. Process safety management considerations for biofuel production. Frontiers of Engineering Management. 2017; 4(3): 357-367 Zhanpeng Zhang, Jinsong Zhao*. A deep belief network based fault diagnosis model for complex chemical processes. Computers & Chemical Engineering. 2017; 107:395-407 Yiyang Dai, Hangzhou Wang, Faisal Khan, Jinsong Zhao*. Abnormal situation management for smart chemical process operation. Current Opinion in Chemical Engineering. 2016; 14：49-55 Yidan Shu, Liang Ming, Feifan Cheng, Jinsong Zhao*. Abnormal situation management: Challenges and opportunities in the big data era. Computers & Chemical Engineering. 2016; 91：104-113 Yidan Shu, Jinsong Zhao*. Fault diagnosis of chemical processes using artificial immune system with vaccine transplant. Industrial & Engineering Chemistry Research. 2016; 55:3360-3371 Zhi Xia, Jinsong Zhao*. Robust Optimization of Index-2 Differential Algebraic Equations with Guaranteed Stability under Parametric Uncertainty: Application to a Reactor–Separator–Recycle Process. Industrial & Engineering Chemistry Research. 2015; 54（41）：10031-10039 Bing Wang, Bingzhen Chen, Jinsong Zhao*. The real-time estimation of hazardous gas dispersion by the integration of gas detectors, neural network and gas dispersion models. Journal of Hazardous Materials. 2015; 300: 433-442 Zhi Xia, Jinsong Zhao*. Steady-State Optimization of Chemical Processes with Guaranteed Robust Stability and Controllability under Parametric Uncertainty and Disturbances, Computers & Chemical Engineering. 2015; 77: 116-134 赵劲松，陈网桦，鲁毅等。《化工过程安全》，北京：化学工业出版社，2015