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更新时间:2021.12.23
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彭继宇

| 博士 讲师 硕士生导师

单位:

职务:

研究方向:

办公地址: 机械楼B408

办公电话:

电子邮箱: jypeng@zjut.edu.cn

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  • 个人简介

    彭继宇,男,浙江温州人,工学博士。2018年毕业于浙江大学生物系统工程与食品科学学院农业机械化工程专业,师从何勇教授。2018年9月入职浙江工业大学机械工程学院,主要从事智慧农业信息感知技术、光学检测技术和数据处理方法等研究工作。先后主持国家自然科学基金青年项目、浙江省“领雁”研发攻关计划项目子课题、中国博士后科学基金面上项目和企业横向项目,曾参与国家自然科学基金面上项目和国家重点研发计划课题等。多次赴美国、日本、北京等地参加国际学术会议,并作大会报告。目前担任Analytical Chemistry、Journal of Food Engineering、Journal of Analytical Atomic Spectrometry、Food Control等SCI期刊审稿人。近五年来,以第一作者或通讯作者在Analytical Chemistry、Artificial Intelligence Review、TrAC-Trends in Analytical Chemistry、Food Chemistry、Environmental Pollution、Science of the Total Environment等国际权威期刊发表论文20余篇(其中IF>10论文4篇,最高IF=14.908),Google Scholar H指数为18,引用达1000余次。授权发明专利和实用新型专利10余项。曾获得浙江省优秀博士学位论文提名奖等荣誉。



    教育工作经历:

    [1] 2020年-至今,浙江工业大学,机械工程学院,讲师

    [2] 2018-2020年,浙江工业大学,机械工程学院,师资博后

    [3] 2013-2018年,浙江大学,生工食品学院,博士研究生

    [4] 2009-2013年,浙江工业大学,机械工程学院,本科


    欢迎从事光学传感在线检测技术、图像识别、机器学习/深度学习和智能控制方向的本科生、研究生加入本课题组。Email:jypeng@zjut.edu.cn

  • 教学与课程

    本科生课程:《机械工程项目管理》、《机电一体化控制技术与系统》、《工程测试技术》

    研究生课程:《智能控制技术》

  • 育人成果

    指导在读硕士研究生5名,联合指导在读硕士研究生10名。


    2019级硕士生谢威悦(已毕业,联合指导,巨化集团)

    2020级硕士生戴正炜(已毕业,联合指导,浙江省机电设计研究院有限公司)

    2021级硕士生刘旖凡(在读)、姜绪明(在读,联合指导)

    2022级硕士生林明(在读)、叶龙飞(在读)、张珅源(在读)、周壮飞(在读,联合指导)、管沈阳(在读,联合指导)

    2023级硕士生戴伊威(在读)、胡长江(在读,联合指导)、邢宇凡(在读,联合指导)、李凯伊(在读,联合指导)、胡立鹏(在读,联合指导)、邬雪烽(在读,联合指导)、谢佳楠(在读,联合指导)、王锦超(在读,联合指导)







  • 科研项目

    [1] 名优茶智能化加工关键技术与装备研发,浙江省“领雁”研发攻关技术项目子课题,2023-2025,排名:1/5

    [2]水稻叶片理化特性对LIBS信号的影响机制及重金属化学成像方法研究,国家自然科学基金,2022-2024,排名:1/1

    [3]“香茶”数字化关键设备与中央集控设备研制与示范,“三农九方”项目,2023-2024,排名:1/5

    [4]基于多种传热方式混合加热的数字化全季节茶叶杀青技术与装备研究,横向项目2022-2023,排名:1/5

    [5]水稻叶片矿质元素LIBS 谱图融合快速诊断机理与方法,中国博士后科学基金,2022-2023,排名:1/1

    [6]数字化茶叶初制生产线计算机集控系统研发,横向项目2020-2024,排名:1/5

    [7]数字化茶叶加工装备控制系统模块化设计与研发,横向项目2020-2024,排名:2/6

    [8]配电网工厂化车间自动化流水线(二期机器外观升级改进),横向项目2018-2022,排名:7/8

    [9]水稻叶片重金属LIBS多尺度快速检测和定量可视化,中国博士后科学基金,已结题,排名:1/1


  • 科研成果

    代表性论文


    2024

    [1]    Zhangfeng Zhao, Xuming Jiang, Zhengwei Dai, Xiaoli Li, Jiyu Peng, Jiang Zhong, Fei Zhou. Experimental study and numerical simulation of the influence of ball milling on mechanical and physical properties of matcha powder. Powder Technology, 2024, 433, 119213.(通讯作者, SCI, JCR 1区)

    [2]     Fei Zhou, Weiyue Xie, Ming Lin, Longfei Ye, Chu Zhang, Zhangfeng Zhao, Fei Liu, Jiyu Peng, Wenwen Kong. Rapid authentication of geographical origins of Baishao (Radix Paeoniae Alba) slices with laser-induced breakdown spectroscopy based onconventional machine learning and deep learning. Spectrochimica Acta Part B: Atomic Spectroscopy, 2024, 212: 106852(通讯作者, SCI, JCR 1区)

     

    2023

    [1]     Jiyu Peng, Ming Lin, Weiyue Xie, et al. Fast identification of geographical origins of Baishao (Radix Paeoniae Alba) using the deep fusion of LIBS spectrum and ablation image [J]. Microchemical Journal, 2023, 194: 109337. (排名:1/9, SCI, JCR 1区)

    [2]     Chu Zhang, Lei Zhou, Fei Liu, Jing Huang, Jiyu Peng. Application of deep learning in laser-induced breakdown spectroscopy: a review [J]. Artificial Intelligence Review, 2023, 56: S2789-S2823. (通讯作者, SCI, JCR 1区)

    [3]     Jiyu Peng, Longfei Ye, Weiyue Xie, et al. In-situ and fast classification of origins of Baishao (Radix Paeoniae Alba) slices based on auto-focus laser-induced breakdown spectroscopy [J]. Optics Letters, 2023, 48(13): 3567-3570. (排名:1/10, SCI, JCR 1区)

    [4]     Zhengkai You, Xiaolong Li, Jing Huang, Rongqin Chen, Jiyu Peng, Wenwen Kong, Fei Liu. Agarose film-based liquid-solid conversion for heavy metal detection of water samples by laser-induced breakdown spectroscopy [J]. Molecules, 2023, 28(6): 2777.(通讯作者, SCI, JCR 1区)

    [5]     Jiang Zhong, Xuming Jiang, Ming Lin, Huiliang Dai, Fengle Zhu, Xin Qiao, Zhangfeng Zhao, Jiyu Peng. Fast quantification of matcha adulterants with laser-induced breakdown spectroscopy spectrum and image [J]. Computers and Electronics in Agriculture, 2023, 209: 107813.(通讯作者, SCI, JCR 1区)

    [6]     Jiyu Peng, Yifan Liu, Longfei Ye, et al. Fast detection of minerals in rice leaves under chromium stress based on laser-induced breakdown spectroscopy [J]. Science of the Total Environment, 2023, 860: 160545. (排名:1/7, SCI, JCR 1区)

    [7]     Zhangfeng Zhao, Zhengwei Dai, Xuming Jiang, Liaoyuan Yu, Meijuan Hu, Jiyu Peng, Fei Zhou. Influence and optimization of long-time superfine grinding on the physicochemical features of green tea powder [J].  Journal of Food Composition and Analysis, 2023, 117: 105124. (通讯作者, SCI, JCR 2区)

    [8]     Jiandong Jiang, Peisong Chen, Jiyu Peng, Xin Qiao, Fengle Zhu, Jiang Zhong. Design and Optimization of Lower Limb Rehabilitation Exoskeleton with a Multiaxial Knee Joint [J]. Biomimetics (Basel), 2023, 8(2): 156. (排名:3/6, SCI, JCR 1区)

    [9]     Xiaolong Li, Jing Huang, Rongqin Chen, Zhengkai You, Jiyu Peng, Qingcai Shi, Gang Li, Fei Liu. Chromium in soil detection using adaptive weighted normalization and linear weighted network framework for LIBS matrix effect reduction [J]. Journal of Hazardous Materials, 2023, 448: 130885. (排名:5/8, SCI, JCR 1区)

    [10]  Zeyi Cai, Zihong Huang, Mengyu He, Cheng Li, Hengnian Qi, Jiyu Peng, Fei Zhou, Chu Zhang. Identification of geographical origins of Radix Paeoniae Alba using hyperspectral imaging with deep learning-based fusion approaches [J]. Food Chemistry, 2023, 422: 136169. (排名:6/8, SCI, JCR 1区)

    [11]  Rongqin Chen, Fei Liu, Chu Zhang, Wei Wang, Rui Yang, Yiying Zhao, Jiyu Peng, Wenwen Kong, Jing Huang. Trends in digital detection for the quality and safety of herbs using infrared and Raman spectroscopy [J]. Frontier in Plant Science, 2023, 14: 1128300. (排名:7/10, SCI, JCR 1区)

    [12]  Fei Zhou, Yifan Liu, Weiyue Xie, Jing Huang, Fei Liu, Wenwen Kong, Zhangfeng Zhao, Jiyu Peng (on line 20 Nov 2023): Recent advances and applications of laser-based imaging techniques in food crops and products: a critical review, Critical Reviews in Food Science and Nutrition, DOI: 10.1080/10408398.2023.2283579(通讯作者, SCI, JCR 1区)



    2022年之前部分论文

    [1]     Jiyu Peng, Yong He, Zhangfeng Zhao, et al. Fast visualization of distribution of chromium in rice leaves by re-heating dual-pulse laser-induced breakdown spectroscopy and chemometric methods [J]. Environmental Pollution, 2019, 252: 1125-1132.(排名:1/7, SCI, JCR 1

    [2]     Jiyu Peng, Yong He, Jiandong Jiang, et al. High-accuracy and fast determination of chromium content in rice leaves based on collinear dual-pulse laser-induced breakdown spectroscopy and chemometric methods [J]. Food Chemistry, 2019, 295: 327-333.(排名: 1/6, SCI, JCR 1

    [3]     Jiyu Peng, Weiyue Xie, Jiandong Jiang, et al. Fast Quantification of Honey Adulteration with Laser-Induced Breakdown Spectroscopy and Chemometric Methods [J]. Foods, 2020, 9(3). (排名: 1/6, SCI, JCR 1

    [4]     Zhaofeng Zhao, Lun Chen, Guoda Chen, Weiyue Xie, Jiyu Peng. An Approach for in-Line Control of Moisture Content During Green Tea Processing [J]. IEEE Access, 2020, 8: 59701-59714.(通讯作者, SCI, JCR 1

    [5]     Jiyu Peng, Yong He, Lanhan Ye, et al. Moisture influence reducing method for heavy metals detection in plant materials using laser-induced breakdown spectroscopy: a case study for chromium content detection in rice leaves[J]. Analytical Chemistry, 2017, 89(14), 7593-7600. (排名: 1/8, SCI, JCR 1)

    [6]     Jiyu Peng, Liu Fei, Fei Zhou, et al. Challenging applications for multi-element analysis by laser-induced breakdown spectroscopy in agriculture: A review[J]. TrAC-Trends in Analytical Chemistry, 2016, 85, 260-272. (排名: 1/7, SCI, JCR 1)

    [7]     Jiyu Peng, Kunlin Song, Hongyan Zhu, et al. Fast detection of tobacco mosaic virus infected tobacco using laser-induced breakdown spectroscopy[J]. Scientific Reports, 2017, 7, 44551. (排名: 1/7, SCI, JCR 1)

    [8]     Jiyu Peng, Fei Liu, Wenwen Kong, et al. Rapid identification of varieties of walnut powder based on laser-induced breakdown spectroscopy[J]. Transactions of the ASABE, 2017, 60(1): 19-28. (排名: 1/6, SCI, JCR 3)

    [9]     Jiyu Peng, Fei Liu, Tingting Shen, et al. Comparative study of the detection of chromium content in rice leaves by 532 nm and 1064 nm laser-induced breakdown spectroscopy[J]. Sensors, 2018, 621. (排名: 1/8, SCI, JCR 1)


    代表性专利

    [1] 一种用于激光诱导击穿光谱检测的样品台,中国实用新型专利,ZL 2014 2 0688481.5,已授权,2015.03.18,排名:1/7

    [2] 一种带有振动功能的淋雨测试装置,中国实用新型专利,ZL 2015 2 0788143.3,已授权,2016.02.03,已授权,排名:1/7

    [3] 基于共线激光诱导击穿光谱的作物营养元素快速检测方法,中国发明专利,ZL 2014 1 0653810.7,已授权,2017.01.11,排名:2/7

    [4] 一种多模式激光诱导击穿光谱装置,中国发明专利,ZL 2014 1 0653808.X,已授权,2017.07.21,排名:2/6

    [5] 一种旋耕机限深轮和运输轮一体化装置,中国发明专利,ZL 2014 1 0535960.8,已授权,2018.01.16,排名:2/4


    奖励和荣誉(省部级及以上):

    [1] 彭继宇基于激光诱导击穿光谱技术的水稻铬含量快速检测方法研究,2018年浙江省优秀博士学位提名论文,浙江省研究生教育学会,2019.



  • 招生信息

    每年招收1-2名研究生,采取项目制和学习小组的培养形式,分别锻炼工程能力和学术水平,与浙江大学开展联合培养。欢迎从事光学传感在线检测技术、图像识别、机器学习/深度学习和智能控制方向的本科生、研究生加入本课题组。


    招生要求:

    1. 具有较强的科研创新能力、团队协作精神,能合理安排学习计划和学习时间,有流利的英语写作表达能力;

    2. 具有python、C语言、C#等编程能力,图像处理和数据分析等背景优先。


    联系方式:jypeng@zjut.edu.cn

    由于每年名额不确定,故在复试结束及指标确定再联系。

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更新时间:2021.12.23
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