
浏览全部资源
扫码关注微信
1. 浙江浙能技术研究院有限公司,浙江 杭州 311121
2. 浙江大学能源工程学院,浙江 杭州 310027
3. 浙江省浙能工业信息工程省级重点企业研究院,浙江 杭州 311121
[ "范海东(1979- ),男,浙江浙能技术研究院有限公司高级工程师,主要从事能源技术、智能化、自动化技术研究工作。" ]
网络出版日期:2019-09,
纸质出版日期:2019-09-20
移动端阅览
范海东. 基于数字孪生的智能电厂体系架构及系统部署研究[J]. 智能科学与技术学报, 2019,1(3):241-248.
Haidong FAN. Research on architecture and system deployment of intelligent power plant based on digital twin[J]. Chinese journal of intelligent science and technology, 2019, 1(3): 241-248.
范海东. 基于数字孪生的智能电厂体系架构及系统部署研究[J]. 智能科学与技术学报, 2019,1(3):241-248. DOI: 10.11959/j.issn.2096-6652.201930.
Haidong FAN. Research on architecture and system deployment of intelligent power plant based on digital twin[J]. Chinese journal of intelligent science and technology, 2019, 1(3): 241-248. DOI: 10.11959/j.issn.2096-6652.201930.
在我国能源供给侧结构性改革和煤电生产清洁高效智能化的号召下,在分析智能电厂研究和实践现状的基础上,结合数字孪生理论和方法,以工业大数据平台和管理云平台为核心,将电厂生产经营活动及要素进行虚拟数字化,构建了包括智能决策、智能监管、智能控制和智能设备的智能电厂体系架构,覆盖了电厂设备、运行等生产经营的各个方面,使电厂具备了全面感知、协同优化、预测预警和科学决策特性。
Under the call of structural reform of energy supply and clean
efficient and intelligent coal-fired power production in China
based on the analysis of the research and practice status of intelligent power plant
combined with digital twin theory and methods
production and operation activities and elements of power plants were virtualized and digitized with the industrial big data platform and management cloud platform as the core
the intelligent power plant architecture were constructed including decision-making
intelligent supervision
intelligent control and intelligent equipment
which covered all aspects of production and operation of power plant equipment
so that the power plant had the characteristics of comprehensive perception
collaborative optimization
prediction and early warning and scientific decision-making.
朱成章 . 试论煤电在中国的不可替代性 [J ] . 中外能源 , 2016 , 21 ( 2 ): 14 - 18 .
ZHU C Z . A discussion on why coal is irreplaceable in power generation in China [J ] . Sino-Global Energy , 2016 , 21 ( 2 ): 14 - 18 .
屠学伟 , 郑亚锋 . 智慧电厂建设探讨 [J ] . 自动化博览 , 2019 ( 1 ): 29 - 31 .
TU X W , ZHENG Y F . Discussion on construction of wise power plant [J ] . Automation Panorama , 2019 ( 1 ): 29 - 31 .
杰里米·里夫金 , . 第三次工业革命 [M ] . 北京 : 中信出版社 , 2017 .
RIFKIN J . The third industrial revolution [M ] . Beijing : China CITIC PressPress , 2017 .
中国自动化学会发电自动化专业委员会 . 智能电厂技术发展纲要 [M ] . 北京 : 中国电力出版社 , 2016 .
Chinese Association of Automation.Technology development program in smart power plant . Technology development program in smart power plant [M ] . Beijing : China Electric Power PressPress , 2016 .
刘吉臻 . 智能发电:第四次工业革命的大趋势 [N ] . 中国能源报 ,2016-07-25.
LIU J Z . The tendency of the fourth industrial revolution [N ] . China Energy News ,2016-07-25.
刘吉臻 , 胡勇 , 曾德良 , 等 . 智能发电厂的架构及特征 [J ] . 中国电机工程学报 , 2017 , 37 ( 22 ): 6463 - 6470 ,6758.
LIU J Z , HU Y , ZENG D L , et al . Architecture and feature of smart power generation [J ] . Proceedings of the CSEE , 2017 , 37 ( 22 ): 6463 - 6470 ,6758.
杨新民 , 陈丰 , 曾卫东 , 等 . 智能电站的概念及结构 [J ] . 热力发电 , 2015 , 44 ( 11 ): 10 - 13 .
YANG X M , CHEN F , ZENG W D , et al . Concept and structure of intelligent power stations [J ] . Thermal Power Generation , 2015 , 44 ( 11 ): 10 - 13 .
张晋宾 , 周四维 . 智能电厂概念及体系架构模型研究 [J ] . 中国电力 , 2018 , 51 ( 10 ): 2 - 7 ,42.
ZHANG J B , ZHOU S W . Study on the concept of the smart power plant and its architecture model [J ] . Electric Power , 2018 , 51 ( 10 ): 2 - 7 ,42.
南京科远自动化集团股份有限公司 . 南京科远助力姜堰电厂实现智能化运营 [J ] . 自动化博览 , 2017 ( 9 ): 58 - 61 .
Nanjing SCIYON Automation Group Co.,Ltd.Nanjing SCIYON helps jiangyan power plant implement intelligent operation . Nanjing SCIYON helps jiangyan power plant implement intelligent operation [J ] . Automation Panorama , 2017 ( 9 ): 58 - 61 .
余娜 . 煤电样本:大唐南电大步跨入智慧 1.0 [J ] . 能源 , 2018 ( 6 ): 27 - 29 .
YU N.Coal power sample:datang Nanjing power plant striding into wisdom 1 . 0 [J ] . Energy of China , 2018 ( 6 ): 27 - 29 .
李志刚 . 智慧电厂系统解决方案——以鑫光发电有限公司为例 [J ] . 工业技术创新 , 2017 , 4 ( 3 ): 170 - 172 .
LI Z G.A perfect solution for intelligent power plant:a case study on Xinguang power generation Co.,Ltd . [J ] . Industrial Technology Innovation , 2017 , 4 ( 3 ): 170 - 172 .
高鹏里 . 智能化电厂建设探索 [J ] . 市场周刊(理论研究) , 2013 ( 11 ): 7 - 9 ,74.
GAO P L . The exploration of intelligent power plant construction [J ] . Market Weekly , 2013 ( 11 ): 7 - 9 ,74.
李子连 . 火电自动化与仪器仪表发展综述 [J ] . 中国仪器仪表 , 2006 ( 11 ): 25 - 31 .
LI Z L . An overview of automation and instrumentation development in thermal power plants [J ] . China Instrumentation , 2006 ( 11 ): 25 - 31 .
GRIEVES M . PLM-beyond lean manufacturing [J ] . Manufacturing Engineering , 2003 , 130 ( 3 ): 23 - 25 .
任川 , 陈磊 . 建立在智能工厂基础上的企业数字孪生体 [J ] . 中国石油和化工标准与质量 , 2018 ( 21 ): 127 - 128 .
REN C , CHEN L . Enterprise digital twins based on smart factories [J ] . China Petroleum and Chemical Standard and Quality , 2018 ( 21 ): 127 - 128 .
陶飞 , 刘蔚然 , 刘检华 , 等 . 数字孪生及其应用探索 [J ] . 计算机集成制造系统 , 2018 ( 1 ): 1 - 18 .
TAO F , LIU W R , LIU J H , et al . Digital twin and its potential application exploration [J ] . Computer Integrated Manufacturing Systems , 2018 ( 1 ): 1 - 18 .
张龙 . 从智能制造发展看数字孪生 [J ] . 软件和集成电路 , 2018 ( 9 ): 59 - 62 .
ZHANG L . Digital twin:from the development of intelligent manufacturing [J ] . Software and Integrated Circuit , 2018 ( 9 ): 59 - 62 .
庄存波 , 刘检华 , 熊辉 , 等 . 产品数字孪生体的内涵、体系结构及其发展趋势 [J ] . 计算机集成制造系统 , 2017 , 23 ( 4 ): 753 - 768 .
ZHUANG C B , LIU J H , XIONG H , et al . Connotation,architecture and trends of product digital twin [J ] . Computer Integrated Manufacturing Systems , 2017 , 23 ( 4 ): 753 - 768 .
郑南宁 . 人工智能新时代 [J ] . 智能科学与技术学报 , 2019 , 1 ( 1 ): 1 - 3 .
ZHENG N N . The new era of artificial intelligence [J ] . Chinese Journal of Intelligent Science and Technology , 2019 , 1 ( 1 ): 1 - 3 .
张钹 . 人工智能进入后深度学习时代 [J ] . 智能科学与技术学报 , 2019 , 1 ( 1 ): 4 - 6 .
ZHANG B . Artificial intelligence is entering the post deep-learning era [J ] . Chinese Journal of Intelligent Science and Technology , 2019 , 1 ( 1 ): 4 - 6 .
刘腾 , 王晓 , 邢阳 , 等 . 基于数字四胞胎的平行驾驶系统及应用 [J ] . 智能科学与技术学报 , 2019 , 1 ( 1 ): 40 - 51 .
LIU T , WANG X , XING Y , et al . Research on digital quadruplets in cyber-physical-social space-based parallel driving [J ] . Chinese Journal of Intelligent Science and Technology , 2019 , 1 ( 1 ): 40 - 51 .
张俊 , 王飞跃 , 方舟 . 社会能源:从社会中获取能源 [J ] . 智能科学与技术学报 , 2019 , 1 ( 1 ): 7 - 20 .
ZHANG J , WANG F Y , FANG Z . Social energy:mining energy from the society [J ] . Chinese Journal of Intelligent Science and Technology , 2019 , 1 ( 1 ): 7 - 20 .
秦晓珠 , 张兴旺 . 数字孪生技术在物质文化遗产数字化建设中的应用 [J ] . 情报资料工作 , 2018 , 39 ( 2 ): 103 - 111 .
QIN X Z , ZHANG X W . Application of digital twin technology in the digital construction of material cultural heritage [J ] . Information and Documentation Services , 2018 , 39 ( 2 ): 103 - 111 .
RIOS J , HERNANDEZ J C , OLIVA M , et al . Product avatar as digital counterpart of a physical individual product:literature review and implications in an aircraft [C ] // The 22nd ISPEInc International Conference on Concurrent Engineering,Jul.20-23,2015,Delft,The Netherlands.[S.l.:s.n . ] , 2015 : 657 - 666 .
TIMOTHY D W , MARK B . Is digital thread/digital twin affordable? A systemic assessment of the cost of DoD’s latest Manhattan Project [J ] . Procedia Computer Science , 2017 , 114 : 47 - 56 .
GE.GE digital twin:analytic engine for the digital power plant [R ] . 2018 .
TUEGEL E J , INGRAFEAA R , EASON T G , et al . Reengineering aircraft structural life prediction using a digital twin [J ] . International Journal of Aerospace Engineering , 2011 : 1687 - 5966 .
李柏松 , 王学力 , 王巨洪 . 数字孪生体及其在智慧管网应用的可行性 [J ] . 油气储运 , 2018 ( 10 ): 1081 - 1087 .
LI B S , WANG L X , WANG J H . Digital twin and its application feasibility to intelligent pipeline networks [J ] . Oil & Gas Storage and Transportation , 2018 ( 10 ): 1081 - 1087 .
杜军平 , 涂序彦 , . 拟人智能管理系统的研究 [C ] // 2003 年中国智能自动化会议,2003年12月15-17日,中国香港 . 2003 : 153 - 158 .
DU J P , TU X Y . Research on anthropomorphic intelligent management system [C ] // CIAC 2003 Dec.15-17,2003,Hong Kong,China . 2003 : 153 - 158 .
ZHAO Z , ZENG D L , HU Y , et al . Soft sensing of coal quality [J ] . Thermal Science , 2015 , 19 ( 1 ): 231 - 242 .
湛腾西 , 郭观七 . 电厂烟气含氧量的智能混合预测方法 [J ] . 仪器仪表学报 , 2010 , 31 ( 8 ): 1826 - 1833 .
ZHAN T X , GUO G Q . Intelligent hybrid prediction method of the flue gas oxygen content in powder plant [J ] . Chinese Journal of Scientific Instrument , 2010 , 31 ( 8 ): 1826 - 1833 .
0
浏览量
2254
下载量
0
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621