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基于局部 − 整体相关特征的多单元化工过程分层监测

姜庆超 颜学峰

姜庆超, 颜学峰. 基于局部 − 整体相关特征的多单元化工过程分层监测. 自动化学报, 2020, 46(9): 1770−1782 doi: 10.16383/j.aas.c190671
引用本文: 姜庆超, 颜学峰. 基于局部 − 整体相关特征的多单元化工过程分层监测. 自动化学报, 2020, 46(9): 1770−1782 doi: 10.16383/j.aas.c190671
Jiang Qing-Chao, Yan Xue-Feng. Hierarchical monitoring for multi-unit chemical processes based on local-global correlation features. Acta Automatica Sinica, 2020, 46(9): 1770−1782 doi: 10.16383/j.aas.c190671
Citation: Jiang Qing-Chao, Yan Xue-Feng. Hierarchical monitoring for multi-unit chemical processes based on local-global correlation features. Acta Automatica Sinica, 2020, 46(9): 1770−1782 doi: 10.16383/j.aas.c190671

基于局部 − 整体相关特征的多单元化工过程分层监测

doi: 10.16383/j.aas.c190671
基金项目: 国家自然科学基金(61973119, 61603138, 21878081)资助
详细信息
    作者简介:

    姜庆超:华东理工大学自动化系副研究员. 2010年和2015年分别获得华东理工大学学士和博士学位, 之后分别于阿尔伯塔大学、杜伊斯堡-艾森大学、中国香港科技大学、以及京都大学从事研究工作. 主要研究方向为机器学习与工业应用, 工业大数据解析, 过程监测与故障诊断. E-mail: qchjiang@ecust.edu.cn

    颜学峰:华东理工大学自动化系教授. 1995年和2002年分别获得浙江大学学士和博士学位. 主要研究方向为复杂化工过程建模、优化与控制, 过程监测与故障诊断, 智能信息处理. 本文通信作者E-mail: xfyan@ecust.edu.cn

Hierarchical Monitoring for Multi-unit Chemical Processes Based on Local-global Correlation Features

Funds: Supported by National Natural Science Foundation of China (61973119, 61603138, 21878081)
  • 摘要: 针对一类多单元化工过程的监测问题, 提出基于局部−整体相关特征的分层故障检测与故障定位方法, 通过表征单元内部变量相关性、单元与单元间相关性、局部单元与过程整体相关性, 对过程运行状态进行判断, 以提升过程监测的准确性与可靠性. 首先, 采用典型相关分析, 通过引入邻域单元相关变量提取每个单元的独有特征和外部相关特征; 其次, 对每个单元的独有特征和所有单元的外部相关特征建立统计模型实现分层故障检测; 然后, 建立单元−变量分层贡献图, 对故障单元以及故障变量实现分层定位. 通过在Tennessee Eastman仿真过程和一个实验室级甘油精馏过程中的应用说明所提分层监测方法的有效性.
  • 图  1  基于局部−整体相关特征的分层监测设计框架

    Fig.  1  Framework of the local-global correlation feature-based hierarchical monitoring

    图  2  TE过程流程图[41]

    Fig.  2  Flowchart of the TE process[41]

    图  3  TE过程故障4的监测效果 ((a)经典CCA监测结果; (b)分层监测整体监测结果; (c)分层监测局部监测效果)

    Fig.  3  Monitoring results for the TE fault 4 ((a) Conventional CCA method; (b) Global monitoring using hierarchical method; (c) Local monitoring using hierarchical method)

    图  4  TE过程故障4的分层贡献图((a)$T_{b,{\rm out}}^2$; (b)$T_{b,{\rm in}}^2$; (c)${Q_b}$)

    Fig.  4  Contribution plots for the TE fault 4 ((a)$T_{b,{\rm out}}^2$; (b)$T_{b,{\rm in}}^2$; (c)${Q_b}$)

    图  5  TE过程故障5的监测效果 ((a)经典CCA监测结果; (b)分层监测整体监测结果; (c)分层监测局部监测效果)

    Fig.  5  Fault detection results for the TE fault 5 ((a) Conventional CCA method; (b) Global monitoring using hierarchical method; (c) Local monitoring using hierarchical method)

    图  6  TE过程故障5的分层监测贡献图 ((a)$T_z^2$${Q_z}$; (b)$T_{b,{\rm out}}^2$; (c)$T_{b,{\rm in}}^2$; (d)${Q_b}$; (e)控制补偿后$T_{b,{\rm out}}^2$)

    Fig.  6  Contribution plots for the TE fault 5 ((a)$T_z^2$ and ${Q_z}$; (b)$T_{b,{\rm out}}^2$; (c)$T_{b,{\rm in}}^2$; (d)${Q_b}$; (e)$T_{b,{\rm out}}^2$ after compensation)

    图  7  实验室甘油精馏装置与流程图((a)设备图; (b)流程图)

    Fig.  7  Lab-scale glycerin distillation process ((a) Equipment diagram; (b) Simplified flowchart)

    图  8  精馏过程故障1的分层故障检测效果 ((a)整体监测统计量; (b)局部监测统计量)

    Fig.  8  Fault detection results for the distillation process fault 1 ((a) Global monitoring statistics; (b) Local monitoring statistics)

    图  9  精馏过程故障1分层监测贡献图((a)$T_z^2$${Q_z}$; (b)$T_{b,{\rm out}}^2$; (c)$T_{b,{\rm in}}^2$)

    Fig.  9  Contribution plots for the distillation fault 1 ((a) $T_z^2$ and ${Q_z}$; (b) $T_{b,{\rm out}}^2$; (c) $T_{b,{\rm in}}^2$)

    图  10  精馏过程故障2的分层故障检测效果((a)整体监测统计量; (b)局部监测统计量)

    Fig.  10  Fault detection results for the distillation process fault 2 ((a) Global monitoring statistics; (b) Local monitoring statistics)

    图  11  精馏过程故障2分层监测贡献图

    Fig.  11  Contribution plots for the distillation process fault 2

    表  1  TE过程的典型操作单元和对应变量

    Table  1  Operation units and corresponding variables in the TE process

    单元变量描述变量名称符号
    进料A 进料 (流1)XMEAS(1)$\boxed1$
    D 进料 (流2)XMEAS(2)$\boxed2$
    E 进料 (流3)XMEAS(3)$\boxed3$
    A 和 C 进料XMEAS(4)$\boxed4$
    D 进料XMV(1)
    A 进料流量XMV(3)
    E 进料流量XMV(2)
    A 和 C 进料流量XMV(4)
    反应器反应器进料量XMEAS(6)$\boxed6$
    反应器压力XMEAS(7)$\boxed7$
    反应器液位XMEAS(8)$\boxed8$
    反应器温度XMEAS(9)$\boxed9$
    反应器水温XMEAS(21)$\boxed{21}$
    反应器冷却水流量XMV(10)
    冷凝器冷却水流量XMV(11)
    分离器分离器温度XMEAS(11)$\boxed{11}$
    分离器液位XMEAS(12)$\boxed{12}$
    分离器压力XMEAS(13)$\boxed{13}$
    分离器底物流量XMEAS(14)$\boxed{14}$
    分离器水温度XMEAS(22)$\boxed{22}$
    分离器液流量XMV(7)
    汽提塔汽提塔液位XMEAS(15)$\boxed{15}$
    汽提塔压力XMEAS(16)$\boxed{16}$
    汽提塔底物流量XMEAS(17)$\boxed{17}$
    汽提塔温度XMEAS(18)$\boxed{18}$
    汽提塔蒸汽流量XMEAS(19)$\boxed{19}$
    汽提塔产物流量XMV(8)
    汽提塔蒸汽阀开度XMV(9)
    压缩再循环流量XMEAS(5)$\boxed5$
    排放速度XMEAS(10)$\boxed{10}$
    压缩机功率XMEAS(20)$\boxed{20}$
    压缩机再循环阀XMV(5)
    排放阀XMV(6)
    下载: 导出CSV

    表  2  分层监测对于21个故障测试集的监测效果

    Table  2  Hierarchical monitoring results for the 21 faults in TE process

    编码单元及过程进料单元反应器单元分离器单元汽提塔单元压缩单元过程整体
    故障描述/统计量$T_{1,{\rm out}}^2$$T_{1,{\rm in}}^2$${Q_1}$$T_{2,{\rm out}}^2$$T_{2,{\rm in}}^2$${Q_2}$$T_{3,{\rm out}}^2$$T_{3,{\rm in}}^2$${Q_3}$$T_{4,{\rm out}}^2$$T_{4,{\rm in}}^2$${Q_4}$$T_{5,{\rm out}}^2$$T_{5,{\rm in}}^2$${Q_5}$$T_z^2$${Q_z}$
    1A/C 进料比率, B 成分不变 (阶跃)0.990.310.040.770.260.060.440.040.0710.060.980.170.020.2311
    2B 成分, A/C 进料比率不变 (阶跃)0.920.020.270.950.220.030.920.140.060.990.060.890.990.010.420.980.98
    3D 的进料温度 (阶跃)0.010.010.010.320.020.000.140.010.000.2000.0100.010.090.010.02
    4反应器冷却水入口温度 (阶跃)0.020.010.020.250.7510.120.000.010.2100.0100.000.010.030.06
    5冷凝器冷却水入口温度 (阶跃)0.160.030.040.990.090.030.230.010.0210.000.190.070.000.130.220.18
    6A 进料损失 (阶跃)0.990.91110.980.960.980.820.980.990.960.970.990.920.990.990.99
    7C 存在压力损失 (阶跃)0.9810.870.980.220.090.380.030.040.760.010.220.240.010.2710.98
    8A、B、C 进料成分 (随机)0.780.100.160.970.480.130.900.030.350.940.110.680.870.020.610.970.89
    9D 的进料温度 (随机)0.000.010.010.270.020.010.140.010.010.1600.0100.000.020.010.02
    10C 的进料温度 (随机)0.080.020.020.430.040.020.330.010.000.460.000.810.070.000.100.290.13
    11反应器冷却水入口温度 (随机)0.110.010.010.390.610.700.170.010.010.420.000.0500.010.020.200.27
    12冷凝器冷却水入口温度 (随机)0.740.220.250.950.600.290.940.280.650.960.060.890.340.030.830.960.91
    13反应动态 (慢偏移)0.770.190.300.920.720.390.890.100.480.950.240.860.850.030.890.940.95
    14反应器冷却水阀门 (粘滞)0.750.010.0010.970.120.360.070.010.880.010.010.040.010.0111
    15冷凝器冷却水阀门 (粘滞)0.010.010.010.290.020.010.180.000.010.2300.030.000.000.030.020.06
    16未知0.030.020.010.370.030.010.260.000.000.4000.850.030.010.050.150.11
    17未知0.640.020.010.950.940.440.350.040.020.760.000.220.030.010.030.840.85
    18未知0.880.820.830.920.870.790.910.120.870.900.750.880.800.710.850.880.88
    19未知0.010.020.010.240.080.010.140.010.010.1600.120.010.320.660.010.03
    20未知0.030.020.010.610.020.010.380.050.390.810.000.230.470.010.890.320.43
    21流 4 的阀门固定在稳态位置0.010.000.000.660.440.010.870.000.010.730.000.450.310.000.020.410.84
    下载: 导出CSV

    表  3  甘油精馏过程中的监测变量

    Table  3  Measured variables in the distillation process

    单元 1变量名称单元 2变量名称
    1进料流量1进料储罐液位
    2灵敏板温度2~13塔板温度1~12
    3塔底液位14冷却水流量
    4塔顶回流15重相储灌液位
    5塔顶产品流16轻相储罐液位
    下载: 导出CSV
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  • 收稿日期:  2019-09-23
  • 录用日期:  2020-01-17
  • 网络出版日期:  2020-09-28
  • 刊出日期:  2020-09-28

目录

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    返回文章
    返回