| Citation: | CHEN Guobing, ZENG Guoqing, WANG Yue, et al. Risk analysis method of a certain type of power plant based on KG-KGCN[J]. Journal of Aerospace Power, 2023, 38（10）：2516-2526 doi: 10.13224/j.cnki.jasp.20220007
|
Targeting the problems of numerous risk factors, complex risk data and low utilization rate of power plant, and based on the data of failure mode, impact and criticality analysis, a method and algorithm of system risk analysis was proposed using knowledge graph and graph neural network, and the knowledge of events were utilized to complete link prediction and deduce the cause and impact of events, so as to achieve accurate statistical analysis. A certain type of engine was taken as the object to carry out risk analysis and reasoning. Results showed that this method effectively solved the problems of the traditional method, such as cumbersome forms and single analysis, the results were more accurate and comprehensive, and the analysis efficiency can be improved by more than 60%; and it can carry out risk reasoning and prediction in time, and realize the transformation from post analysis to active prevention, providing a strong support for the intelligent operation and maintenance of power plants.
| [1] |
BAHREBAR S,BLAABJERG F,WANG Huai,et al. A novel type-2 fuzzy logic for improved risk analysis of proton exchange membrane fuel cells in marine power systems application[J]. Energies,2018,11(4): 721. doi: 10.3390/en11040721
|
| [2] |
MORENO V C,COZZANI V. Integrated hazard identification within the risk management of industrial biological processes[J]. Safety Science,2018,103: 340-351. doi: 10.1016/j.ssci.2017.12.004
|
| [3] |
DUNJÓ J,FTHENAKIS V,VÍLCHEZ J A,et al. Hazard and operability (HAZOP) analysis. A literature review[J]. Journal of Hazardous Materials,2010,173(1/2/3): 19-32.
|
| [4] |
徐立,邓儒超,徐楚,等. 船舶核动力装置二回路故障分析及安全性研究[J]. 哈尔滨工程大学学报,2015,36(1): 130-133.
XU Li,DENG Ruchao,XU Chu,et al. Failure analysis and safety studies of the second loop system of civil marine nuclear power plant[J]. Journal of Harbin Engineering University,2015,36(1): 130-133. (in Chinese)
|
| [5] |
屠秋野,张伟,蔡元虎,等. 民用航空动力技术风险评估的量化方法[J]. 航空动力学报,2010,25(11): 2403-2408.
TU Qiuye,ZHANG Wei,CAI Yuanhu,et al. Quantity method of technical risk assessment for civil aero-engine[J]. Journal of Aerospace Power,2010,25(11): 2403-2408. (in Chinese)
|
| [6] |
AMIT S. Introducing the knowledge graph: things, not strings[EB/OL]. [2022-02-15].https: //www.blog.google/products/se-arch/introducing-knowledge-graph-things-not.
|
| [7] |
KRIZHANOVSKY A A,SMIRNOV A V. An approach to automated construction of a general-purpose lexical ontology based on Wiktionary[J]. Journal of Computer and Systems Sciences International,2013,52(2): 215-225. doi: 10.1134/S1064230713020068
|
| [8] |
魏卉子. 煤矿安全融合知识图谱构建研究[D]. 江苏 徐州: 中国矿业大学, 2020.
WEI Huizi. Study on the construction of coal mine safety integration knowledge map[D]. Xuzhou Jiangsu: China University of Mining and Technology, 2020. (in Chinese)
|
| [9] |
IYYER M, BOYD-GRABER J, CLAUDINO L, et al. A neural network for factoid question answering over paragraphs[C]//Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP). Stroudsburg, US: Association for Computational Linguistics, 2014: 633-644.
|
| [10] |
邱凌,张安思,李少波,等. 航空制造知识图谱构建研究综述[J]. 计算机应用研究,2022,39(4): 968-977.
QIU Ling,ZHANG Ansi,LI Shaobo,et al. Survey on building knowledge graphs for aerospace manufacturing[J]. Application Research of Computers,2022,39(4): 968-977. (in Chinese)
|
| [11] |
郭静. 基于知识图谱的航空安全事件关联分析方法研究[D]. 天津: 中国民航大学, 2020.
GUO Jing. Research on the correlation analysis of aviation safety incidents based on knowledge graph[D]. Tianjin: Civil Aviation University of China, 2020. (in Chinese)
|
| [12] |
杜党党,贾晓亮,王卓. 基于故障彩色图谱的航空发动机故障模式识别[J]. 计算机集成制造系统,2018,24(9): 2297-2305.
DU Dangdang,JIA Xiaoliang,WANG Zhuo. Fault model identification method for aero engines based on fault color picture[J]. Computer Integrated Manufacturing Systems,2018,24(9): 2297-2305. (in Chinese)
|
| [13] |
BRUNA J, ZAREMBA W, SZLAM A, et al. Spectral networks and locally connected networks on graphs[EB/OL]. [2021-12-08]. https://arxiv.org/abs/1312.6203
|
| [14] |
WANG Hongwei, ZHAO Miao, XIE Xing, et al. Knowledge graph convolutional networks for recommender systems[C]//Proceedings of the 19th World Wide Web Conference. New York: ACM, 2019: 3307-3313.
|
| [15] |
ZHANG Ya,LU Mingming,LI Haifeng. Urban traffic flow forecast based on FastGCRNN[J]. Journal of Advanced Transportation,2020,2020: 1-9.
|
| [16] |
KAPOOR A, BEN Xue, LIU Luyang, et al. Examining COVID-19 forecasting using spatio-temporal graph neural networks[EB/OL]. [2021-12-15]. https://arxiv.org/abs/2007.03113
|
| [17] |
刘欢,李晓戈,胡立坤,等. 基于知识图谱驱动的图神经网络推荐模型[J]. 计算机应用,2021,41(7): 1865-1870.
LIU Huan,LI Xiaoge,HU Likun,et al. Knowledge graph driven recommendation model of graph neural network[J]. Journal of Computer Applications,2021,41(7): 1865-1870. (in Chinese)
|
| [18] |
史运涛,党亚光,雷振伍,等. 基于图神经网络的社区户内燃气系统动态风险评估[J]. 安全与环境工程,2021,28(5): 1-9.
SHI Yuntao,DANG Yaguang,LEI Zhenwu,et al. Dynamic risk assessment of community indoor gas system based on graph neural network[J]. Safety and Environmental Engineering,2021,28(5): 1-9. (in Chinese)
|
| [19] |
孟寒姣. 基于知识图谱的铁路电务事故智能问答系统的设计与实现[D]. 石家庄: 河北科技大学, 2020.
MENG Hanjiao. Design and implementation of intelligent question answering system for railway electrical accidents based on knowledge graph[D]. Shijiazhuang: Hebei University of Science and Technology, 2020. (in Chinese)
|
| [20] |
何巍. 社交媒体数据可视化分析综述[J]. 科学技术与工程,2020,20(32): 13085-13090.
HE Wei. An overview on social media visual analytics[J]. Science Technology and Engineering,2020,20(32): 13085-13090. (in Chinese)
|
| [21] |
王红,林海舟,卢林燕. 基于Att_GCN模型的知识图谱推理算法[J]. 计算机工程与应用,2020,56(9): 183-189.
WANG Hong,LIN Haizhou,LU Linyan. Knowledge graph inference algorithm based on Att_GCN model[J]. Computer Engineering and Applications,2020,56(9): 183-189. (in Chinese)
|
DownLoad:
