基于偏离度-FCE的袋式除尘系统实时定量风险评价

doi:10.16265/j.cnki.issn1003-3033.2024.10.1969

中国安全科学学报 ›› 2024, Vol. 34 ›› Issue (10): 30-38.doi: 10.16265/j.cnki.issn1003-3033.2024.10.1969

• 安全社会科学与安全管理 • 上一篇下一篇

基于偏离度-FCE的袋式除尘系统实时定量风险评价

侯羽澳¹(), 王强¹^,^**(), 柳青², 林雅敏³, 张少锋³

¹ 中国计量大学能源环境与安全工程学院,浙江杭州 310018
² 中国计量大学质量与标准化学院,浙江杭州 310018
³ 浙江图讯科技股份有限公司,浙江杭州 310023

收稿日期:2024-04-21 修回日期:2024-07-22 出版日期:2024-10-28
通信作者:
^** 王强(1976—),男,湖北应城人,博士,教授,博士生导师,主要从事安全检测技术研究。E-mail:qiangwang@cjlu.edu.cn。
作者简介:
侯羽澳 (2000—),女,山东济宁人,硕士研究生,主要研究方向为安全检测技术、大数据分析。E-mail:577658234@qq.com。
柳青，讲师；
林雅敏，高级工程师；
张少锋，高级工程师
基金资助:
浙江省“尖兵”“领雁”研发攻关计划项目(2022C03179)

Real-time quantitative risk evaluation of bag dedust system based on deviation degree-FCE

HOU Yuao¹(), WANG Qiang¹^,^**(), LIU Qing², LIN Yamin³, ZHANG Shaofeng³

¹ College of Energy Environment and Safety Engineering, China Jiliang University, Hangzhou Zhejiang 310018, China
² College of Quality and Standardization, China Jiliang University, Hangzhou Zhejiang 310018, China
³ Zhejiang Topinfo Technology Co., Ltd., Hangzhou Zhejiang 310023, China

Received:2024-04-21 Revised:2024-07-22 Published:2024-10-28

摘要/Abstract

摘要：

为保障袋式除尘系统运行安全,预防粉尘燃爆事故发生,提出一种基于偏离度-模糊综合评价(FCE)的袋式除尘系统实时定量风险评价模型。首先,基于工业物联网传感器采集的除尘器进出风口压差、除尘箱温度和锁气卸灰故障信号等指标的监测数据,引入偏离度实现监测指标的风险量化;其次,采用FCE法计算袋式除尘系统的风险状态,结合层次分析法(AHP)和变权理论对评价指标赋权,依据隶属函数和隶属度加权平均原则,量化基于偏离度的袋式除尘系统风险,获得系统风险评价结果;最后,运用某型号袋式除尘系统的监测数据验证模型。结果表明: 当袋式除尘系统评价指标的监测值越趋近于报警阈值,且趋近于报警阈值的指标数量越多时,所处风险等级越高,评价结果与其实际运行情况具有相关一致性,验证了模型的有效性。

关键词: 偏离度, 模糊综合评价(FCE), 袋式除尘系统, 定量风险评价, 变权理论

Abstract:

In order to ensure the safe operation of bag dedust system and prevent the occurrence of dust explosion accident, a real-time quantitative risk evaluation model of bag dedust system was proposed based on deviation degree-FCE. Firstly, based on the monitoring data of the pressure difference between inlet and outlet of the dust, box temperature and lock-in ash discharge fault signal collected by the industrial Internet of Things sensor, the deviation degree was introduced to characterize the risk status of the monitoring parameters of the bag dedust system. Then, FCE was used to calculate the risk status of the bag dedust system. The analytic hierarchy process(AHP) and variable weight theory were combined to assign weights to the evaluation indicators. Based on the membership function and weighted average principle of membership degree, the risk of the bag dedust system was quantified by deviation degree, and the risk evaluation result for the bag dedust system was obtained. Finally, the monitoring data of a certain type of bag dedust system was used to verify the effectiveness of the model. The findings demonstrate that when the monitoring value of the evaluation indicators of the bag dedust system gradually approaches the alarm threshold, and the number of indicators approaching the alarm threshold increases, the risk level is higher. The evaluation results are correlated with the actual operation situation, thus validating the efficacy of the model.

Key words: deviation degree, fuzzy comprehensive evaluation (FCE), bag dedust system, quantitative risk evaluation, variable weight theory

中图分类号:

X964工业防尘

侯羽澳, 王强, 柳青, 林雅敏, 张少锋. 基于偏离度-FCE的袋式除尘系统实时定量风险评价[J]. 中国安全科学学报, 2024, 34(10): 30-38.

HOU Yuao, WANG Qiang, LIU Qing, LIN Yamin, ZHANG Shaofeng. Real-time quantitative risk evaluation of bag dedust system based on deviation degree-FCE[J]. China Safety Science Journal, 2024, 34(10): 30-38.

图/表 11

表1

表2

表3

图1

图2

表4

表5

各评价指标偏离度拟合函数

评价指标	偏离度拟合函数
U₂₁、U₂₄	$R (x) = 1, (x = 0) 0, (x = 1)$
U₂₂、U₂₃、U₂₆	$R (x) = 0, (x = 0) 1, (x = 1)$
U₁₁	$R (x) = 4.406 × 10 - 5 x 2 + 0.007 32 x - 0.004 58, 0 ≤ x 90 1, x ≥ 90$
U₁₂	$R (x) = 0.017 42 - 0.524 0 x + 1.256 7, 0.5 ≤ x ≤ 2.622 - 0.050 6 x 3 + 0.311 4 x 2 + 0.272 6 x - 1.924, 2.622 x ≤ 4.5 1, 0.5 x 或 x 4.5$
U₁₃	$R (x) = - 1.287 l n (x) + 8.343, 290 ≤ x ≤ 640.6 - 5.062 × 10 - 6 x 2 + 0.011 83 x - 5.527, 640.6 x ≤ 900 1, 290 x 或 900 x$
U₁₄	$R (x) = 4.728 × 10 - 5 x 2 + 0.007 18 x - 0.011 42, 0 ≤ x 90 1, x ≥ 90$
U₂₅	$R (x) = 5.198 × 10 - 9 x 3 - 8.776 × 10 - 6 x 2 + 0.001 35 x + 0.949 6, 100 ≤ x ≤ 517 - 1.802 × 10 - 8 x 3 + 4.161 × 10 - 5 x 2 - 0.028 54 x + 6.128, 517 x ≤ 900 1, x 100 或 x 900$

表5

表6

图3

图4

图5

参考文献 20

[1]	LI Xinyu, CHEN Haiyan, ZHANG Yansong, et al. Research on law and mechanism of dust explosion in bag type dust collector[J]. Advanced Powder Technology, 2022, 33(6): DOI: 10.1016/j.finel.2021.103666.
[2]	姚群, 宋七棣, 陈志炜. 2020年袋式除尘行业发展评述和展望[J]. 中国环保产业, 2021(3):19-22.
	YAO Qun, SONG Qidi, CHEN Zhiwei. Review and prospect of the development of China's bag-hose precipitation industry in 2020[J]. China Environmental Protection Industry, 2021(3): 19-22.
[3]	张延青, 郑德富, 张赛. 除尘器有限空间的粉尘燃爆风险与控制措施[J]. 中国环保产业, 2022(3):57-61.
	ZHANG Yanqing, ZHENG Defu, ZHANG Sai. Dust explosion risk of dust collector in limited space and the relevant control measures[J]. China Environmental Protection Industry, 2022(3): 57-61.
[4]	RANI S I, AZIZ B A, GIMBUN J. Analysis of dust distribution in silo during axial filling using computational fluid dynamics: assessment on dust explosion likelihood[J]. Process Safety and Environmental Protection, 2015, 96: 14-21.
[5]	ZALOSH R. Dust collector explosions: a quantitative hazard evaluation method[J]. Journal of Loss Prevention in the Process Industries, 2015, 36: 258-265.
[6]	李增杰, 白建平. 基于模糊综合分析对某通风除尘系统的探究性评价[J]. 重庆科技学院学报:自然科学版, 2013, 15(增1):29-32.
	LI Zengjie, BAI Jianping. The evaluation of ventilation and dust removal system based on fuzzy comprehensive analysis[J]. Journal of Chongqing University of Science and Technology: Natural Science Edition, 2013, 15(S1): 29-32.
[7]	宋英杰, 王刚, 唐武生. 基于PSR-AHP模型的布袋式除尘系统运行稳定性分析[J]. 白城师范学院学报, 2019, 33(6):21-29,35.
	SONG Yingjie, WANG Gang, TANG Wusheng. An analysis of operation stability bag-type dust removal system based on PSR-AHP model[J]. Journal of Baicheng Normal University, 2019, 33(6): 21-29, 35.
[8]	YUAN Zhi, KHAKZAD N, KHAN F, et al. Risk-based optimal safety measure allocation for dust explosions[J]. Safety Science, 2015, 74: 79-92.
[9]	高娟, 苑艺笑, 薛少谦, 等. 基于复合模型的干式除尘系统粉尘爆炸风险分析[J]. 工业安全与环保, 2021, 47(9):1-5.
	GAO Juan, YUAN Yixiao, XUE Shaoqian, et al. Risk analysis of dust explosion in dry dedusting system based on compound model[J]. Industrial Safety and Environmental Protection, 2021, 47(9): 1-5.
[10]	SUN Siheng, MAO Tingting, LYU Pengfei, et al. Dust Explosion risk assessment for dry dust collector based on AHP-fuzzy comprehensive evaluation[J]. Processes, 2022, 10(12): DOI: 10.3390/pr10122616.
[11]	NASIKA C, DIEZ P, GERARD P, et al. Towards real time assessment of earthfill dams via model order reduction[J]. Finite Elements in Analysis and Design, 2022, 199: DOI: 10.1016/j.finel.2021.103666.
[12]	XIE Shuyi, CHEN Yinuo, DONG Shaohua, et al. Risk assessment of an oil depot using the improved multi-sensor fusion approach based on the cloud model and the belief Jensen-Shannon divergence[J]. Journal of Loss Prevention in the Process Industries, 2020, 67: DOI: 10.1016/j.jlp.2020.104214.
[13]	卢颖, 赵志攀, 姜学鹏, 等. 大数据视域下体育场馆动态火灾风险指标研究[J]. 中国安全科学学报, 2022, 32(4):155-162. doi: 10.16265/j.cnki.issn1003-3033.2022.04.023
	LU Ying, ZHAO Zhipan, JlANG Xuepeng, et al. Dynamic fire risk indexes for stadiums from perspective of big data[J]. China Safety Science Journal, 2022, 32(4): 155-162. doi: 10.16265/j.cnki.issn1003-3033.2022.04.023
[14]	邱泽阳, 梁伟, 王雪, 等. 油气输送动设备实时定量风险评估模型[J]. 中国安全科学学报, 2020, 30(2):106-112. doi: 10.16265/j.cnki.issn1003-3033.2020.02.017
	QIU Zeyang, LIANG Wei, WANG Xue, et al. Real-time quantitative risk assessment model of oil and gas transmission rotating equipment[J]. China Safety Science Journal, 2020, 30(2): 106-112. doi: 10.16265/j.cnki.issn1003-3033.2020.02.017
[15]	中华人民共和国应急管理部. 应急管理部办公厅关于加快推进工贸行业粉尘涉爆企业安全生产风险监测预警系统建设应用的通知[EB/OL]. (2023-04-20). https://www.mem.gov.cn/gk/zfxxgkpt/fdzdgknr/202304/t20230420_448558.shtml.
[16]	AQ 4273—2016, 粉尘爆炸危险场所用除尘系统安全技术规范[S].
	AQ 4273-2016, Safety specifications for dedusting system used in dust explosion hazardous area[S].
[17]	ZHANG Jialiang, KANG Jichuan, SUN Liping, et al. Risk assessment of floating offshore wind turbines based on fuzzy fault tree analysis[J]. Ocean Engineering, 2021, 239: DOI: 10.1016/j.oceaneng.2021.109859.
[18]	LEE L, CHENG Yong, XIE Longjun, et al. An integrated method of set pair analysis and association rule for fault diagnosis of power transformers[J]. IEEE Transactions on Dielectrics and Electrical Insulation, 2015, 22(4): 2368-2378.
[19]	江新, 王婧雯, 王耀威, 等. 突变视角下地下深埋隧洞塌方风险耦合演化研究[J]. 中国安全科学学报, 2023, 33(5):103-111. doi: 10.16265/j.cnki.issn1003-3033.2023.05.1494
	JIANG Xin, WANG Jingwen, WANG Yaowei, et al. Study on coupling evolution of collapse risk of deep underground tunnel from perspective of catastrophe[J]. China Safety Science Journal, 2023, 33(5): 103-111. doi: 10.16265/j.cnki.issn1003-3033.2023.05.1494
[20]	谢季坚, 刘承平. 模糊数学方法及其应用[M]. 武汉: 华中科技大学出版社, 2000:156-163.

等级	区间
轻度	[0,0.25)
中度	[0.25,0.5)
高度	[0.5,0.75)
重度	[0.75,1]

指标 (模拟量) 类型	越小越优型		中间型
报警值	高报阈值	高高报阈值	低低报阈值	低报阈值	高报阈值	高高报阈值
R	0.75	1	1	0.75	0.75	1

监测指标	低低报阈值	低报阈值	高报阈值	高高报阈值
U₁₁/℃	—	—	70	90
U₁₂/kPa	0.5	1.0	3.5	4.5
U₁₃/kPa	290	390	800	900
U₁₄/℃	—	—	70	90
U₂₅/kPa	100	300	800	900

时刻	U₁₁/℃	U₁₂/kPa	U₁₃/kPa	U₁₄/℃	U₂₁	U₂₂	U₂₃	U₂₄	U₂₅/kPa	U₂₆
t₁	28.7	2.281	667.5	30.7	1	0	0	1	395.6	0
t₂	28.9	2.286	667.3	30.7	1	0	0	1	395.4	0
t₃	29.1	2.436	667.2	30.7	1	0	0	1	395.6	0
t₄	28.6	2.302	667.8	30.7	1	0	0	1	395.6	0
t₅	28.9	2.312	666.9	30.1	1	0	0	1	395.3	0
︙	︙	︙	︙	︙	︙	︙	︙	︙	︙	︙
t_{2 057}	23.3	2.426	646.4	30.1	1	0	0	1	523.4	0
t_{2 058}	23.3	2.519	571.8	30.1	1	0	0	1	491.0	0
t_{2 059}	22.8	2.308	605.2	30.1	1	0	0	1	518.0	0

基于偏离度-FCE的袋式除尘系统实时定量风险评价

Real-time quantitative risk evaluation of bag dedust system based on deviation degree-FCE

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