|本期目录/Table of Contents|

[1]杨继星,佘笑梅,黄玉钏,等.基于BP神经网络的苯储罐泄漏事故风险评价模型研究[J].中国安全生产科学技术,2019,15(1):157-162.[doi:10.11731/j.issn.1673-193x.2019.01.025]
 YANG Jixing,SHE Xiaomei,HUANG Yuchuan,et al.Research on risk assessment model for leakage accident of benzene tank based on BP neural network[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2019,15(1):157-162.[doi:10.11731/j.issn.1673-193x.2019.01.025]
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基于BP神经网络的苯储罐泄漏事故风险评价模型研究
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
15
期数:
2019年1期
页码:
157-162
栏目:
职业安全卫生管理与技术
出版日期:
2019-01-31

文章信息/Info

Title:
Research on risk assessment model for leakage accident of benzene tank based on BP neural network
文章编号:
1673-193X(2019)-01-0157-06
作者:
杨继星佘笑梅黄玉钏李振平边路
(应急管理部通信信息中心,北京 100013)
Author(s):
YANG Jixing SHE Xiaomei HUANG Yuchuan LI Zhenping BIAN Lu
(Communication and Information Center of Ministry of Emergency Management, Beijing 100013, China)
关键词:
BP神经网络苯储罐泄漏事故风险评价模型
Keywords:
BP neural network benzene tank leakage accident risk assessment model
分类号:
X937
DOI:
10.11731/j.issn.1673-193x.2019.01.025
文献标志码:
A
摘要:
为了在事故发生之前对苯储罐进行风险评价,提出1种基于BP神经网络的泄漏事故风险评价方法,利用该方法构建了苯储罐的风险评价模型,并对模型进行了训练及验证。研究结果表明:BP神经网络成功完成了建模任务,且模型训练结果较好,可利用基于BP神经网络所构建的苯泄漏事故风险评价模型对苯储罐发生泄漏事故的风险进行评价。
Abstract:
In order to carry out the risk assessment of benzene tank before the occurrence of accident, a new method of risk assessment for the leakage accident based on BP neural network was proposed. A risk assessment model of benzene tank was constructed by using this method, and the model was trained and validated. The results showed that BP neural network successfully completed the task of modeling, and the training result of model was good. Therefore, the risk of leakage accident of the benzene tank can be assessed by using the risk assessment model of benzene leakage accident constructed by BP neural network.

参考文献/References:

[1]XING ZHIXIANG, ZHOU YAN, DAI CHUANG. The research and software development on simulation assessment method for oil gas storage tank’s fore & explosion[J].Computers and Applied Chemistry,2010,27(8):1055-1058.
[2]彭振中.渤海海域散装液化品泄漏事故风险评价及应急对策研究[D].武汉:武汉理工大学,2014.
[3]徐亚博,钱新明,刘振翼.天然气输送管道泄漏事故危害定量分析[J].中国安全科学学报,2008,8(1):146-149. XU Yabo, QIAN Xinming, LIU Zhenyi. Quantitative risk analysis on the leakage of compressed naturai gas pipeline[J].China Safety Science Journal, 2008,8(1):146-149.
[4]黄岳钧,董常亮,李树丞.基于BP神经网络的企业人员素质综合评价模型研究[J].现代管理科学,2008,5(1):96-98. HUANG Yuejun, DONG Changliang, LI Shucheng. Research on comprehensive evaluation model of enterprise personnel quality based on bp neural network[J]. Modern Management Science,2008,5(1):96-98.
[5]王敬志,任开春,胡斌.基于BP神经网络整定的PID控制[J].工业控制计算机,2011,3(5):72-74. WANG Jingzhi, REN Kaichun, HU Bin. PID control based on BP neural network setting[J]. Industrial Control Computer,2011,3(5):72-74.
[6]张娟,付小凤,王肇飞.基于BP神经网络的危险货物物流运输企业安全评价方法研究[J].技术与方法,2009,11(2):80-82. ZHANG Juan, FU Xiaofeng, WANG Zhaofei. Analysis on safety evaluation method of dangerous goods transport enterprises based on BP neural network[J]. Technology and Methods,2009,11(2):80-82.
[7]李怀俊.基于BP神经网络的危化品运输企业安全评价模型与应用[J].技术与方法.2010,3(4):88-90. LI Huaijun. Safety evaluation model of hazardous chemical transportation enterprises based on bp neural network and its application[J]. Technology and Methods. 2010,3(4):88-90.
[8]ARUMUGADEVI S, SEENIVASAGAM V. Color image segement using feedforward neural networks with FCM[J].International Journal of Automation and Computing,2016.
[9]曹永峰,赵燕君.基于GA-BP神经网络的计算机智能化图像识别技术探究[J].应用激光,2017,37(1):139-143. CAO Yongfeng, ZHAO Yanjun. Research on computer intelligent image recognition technology based on GA-BP neural network[J]. Applied Laser,2017,37(1):139-143.
[10]李小艳. 基于改进BP神经网络的企业知识管理绩效评价研究[D].广州:华南理工大学,2013.
[11]崔阳,徐龙,刘艳,等.基于改进BP神经网络的煤催化气化预测模型研究[J].燃料化学学报,2011,39(2):90-93. CUI Yang, XU Long, LIU Yan, et al. Prediction model of coal catalytic gasification based on the improved BP neural network[J].Journal of the Chemistry and Technology,2011,39(2):90-93.
[12]陈明.MATLAB神经网络原理与实例精解[M].北京:清华大学出版社,2013.
[13]王小川,史峰,郁雷,等. MATLAB神经网络43个案例分析[M].北京:北京航空航天大学出版社,2016.
[14]王颖,邵春福.基于BP神经网络的运输通道交通方式选择模型研究[J].物流技术,2010(11):72-74. WANG Ying, SHAO Chunfu. Study on Transport mode selection model based on BP neural network[J]. Logistics Technology,2010(11):72-74.
[15]郭德勇,刘瑛良,郑茂杰,等.基于GIS的苯储罐泄漏事故预警系统[J].华东理工大学学报(自然科学版),2010,36(5):628-629. GUO Deyong, LIU Yingliang, ZHENG Maojie, et al. Forewarning system for leak accident of benzene tank by GIS[J].Journal of China University of Science and Technology(Natural Science Edition),2010,36(5):628-629.
[16]刘堃.苯储罐泄漏事故的仿真研究[J].北京理工大学学报,2012, 32(2):213. LIU Kun. Visual simulation of the leaking accident of benzene tamk[J]. Transactions of Beijing Institute of Technology,2012, 32(2):213.
[17]周杰. BP神经网络在电厂制粉系统故障诊断中的应用研究[D].重庆:重庆大学,2003.

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备注/Memo

备注/Memo:
收稿日期: 2018-08-13
基金项目: 国家重点研发计划项目(2016YFC0800100)
作者简介: 杨继星,博士,高级工程师,主要研究方向为安全生产与应急管理理论及信息化。
更新日期/Last Update: 2019-01-31