化工学报 ›› 2024, Vol. 75 ›› Issue (6): 2299-2312.DOI: 10.11949/0438-1157.20240127
收稿日期:
2024-01-27
修回日期:
2024-04-29
出版日期:
2024-06-25
发布日期:
2024-07-03
通讯作者:
王振雷
作者简介:
黎宏陶(1998—),男,博士研究生,y20200100@mail.ecust.edu.cn
基金资助:
Hongtao LI1(), Zhenlei WANG1(
), Xin WANG2
Received:
2024-01-27
Revised:
2024-04-29
Online:
2024-06-25
Published:
2024-07-03
Contact:
Zhenlei WANG
摘要:
基于数据驱动的在线软测量是当前工业智能化感知的重要研究方向。在算法实际部署中,过程模态切换以及数据漂移都会导致软测量性能下降,传统自适应方法又存在模型单一、模态遗忘等不足。针对上述问题提出一种基于即时学习的样本时空加权条件高斯回归(STWCGR)软测量算法。该方法用概率密度估计和条件概率计算实现软测量建模和预测:首先根据即时学习思想通过样本时空混合加权方法筛选局部建模数据,然后结合高斯混合回归思想累积局部单高斯概率密度模型对数据分布进行拟合,最后引入预测动量更新和模态更新策略提高预测稳定性并赋予模型对新工况的学习适应能力。通过仿真实验验证了所提方法在预测精度、稳定性以及新模态适应能力上的有效性。
中图分类号:
黎宏陶, 王振雷, 王昕. 基于即时学习的改进条件高斯回归软测量[J]. 化工学报, 2024, 75(6): 2299-2312.
Hongtao LI, Zhenlei WANG, Xin WANG. Improved conditional Gaussian regression soft sensor based on just-in-time learning[J]. CIESC Journal, 2024, 75(6): 2299-2312.
高斯模态 | ||
---|---|---|
1 | ||
2 | ||
3 | ||
4 |
表1 高斯成分分布参数
Table 1 Parameters of Gaussian components
高斯模态 | ||
---|---|---|
1 | ||
2 | ||
3 | ||
4 |
项目 | WGR | STWCGR | WGR | STWCGR |
---|---|---|---|---|
RMSE | 0.042 | 0.190 | 2.702 | 0.804 |
0.998 | 0.966 | -1.937 | 0.732 |
表2 数值示例二软测量性能
Table 2 Soft sensing performance in numerical example Ⅱ
项目 | WGR | STWCGR | WGR | STWCGR |
---|---|---|---|---|
RMSE | 0.042 | 0.190 | 2.702 | 0.804 |
0.998 | 0.966 | -1.937 | 0.732 |
变量名 | 含义 |
---|---|
U1 | 塔顶温度 |
U2 | 塔顶压力 |
U3 | 回流流量 |
U4 | 向下一过程流量 |
U5 | 第6隔板温度 |
U6 | 塔釜温度A |
U7 | 塔釜温度B |
Y | 塔釜丁烷含量 |
表3 脱丁烷塔变量含义
Table 3 Description of variables for debutanizer column
变量名 | 含义 |
---|---|
U1 | 塔顶温度 |
U2 | 塔顶压力 |
U3 | 回流流量 |
U4 | 向下一过程流量 |
U5 | 第6隔板温度 |
U6 | 塔釜温度A |
U7 | 塔釜温度B |
Y | 塔釜丁烷含量 |
项目 | LSTM | GRU | JIT-PLS | WGR | STWCGR |
---|---|---|---|---|---|
RMSE | 0.148 | 0.132 | 0.073 | 0.067 | 0.062 |
0.270 | 0.226 | 0.787 | 0.820 | 0.872 |
表4 脱丁烷塔过程软测量性能
Table 4 Soft sensing performance in debutanizer column process
项目 | LSTM | GRU | JIT-PLS | WGR | STWCGR |
---|---|---|---|---|---|
RMSE | 0.148 | 0.132 | 0.073 | 0.067 | 0.062 |
0.270 | 0.226 | 0.787 | 0.820 | 0.872 |
项目 | TWCGR* | TWCGR | STWCGR* | STWCGR |
---|---|---|---|---|
RMSE | 0.097 | 0.101 | 0.063 | 0.062 |
0.688 | 0.666 | 0.871 | 0.872 |
表5 消融实验软测量性能
Table 5 Soft sensing performance of ablation experiment
项目 | TWCGR* | TWCGR | STWCGR* | STWCGR |
---|---|---|---|---|
RMSE | 0.097 | 0.101 | 0.063 | 0.062 |
0.688 | 0.666 | 0.871 | 0.872 |
变量名 | 含义 | 变量名 | 含义 |
---|---|---|---|
X1 | 物料A 流量 | X13 | 分离器 |
X2 | 物料D 流量 | X14 | 分离器塔底流量 |
X3 | 物料E 流量 | X15 | 汽提塔液位 |
X4 | A、B、C总进料 | X16 | 汽提塔压力 |
X5 | 再循环流量 | X17 | 汽提塔塔底流量 |
X6 | 反应器进料量 | X18 | 汽提塔温度 |
X7 | 反应器压力 | X19 | 蒸汽流量 |
X8 | 反应器液位 | X20 | 压缩机功率 |
X9 | 反应器温度 | X21 | 反应器冷凝水出口温度 |
X10 | 排放速度 | X22 | 冷凝器冷却水出口温度 |
X11 | 分离器温度 | Y | 产物中G组分摩尔分数 |
X12 | 分离器液位 |
表6 TE过程变量含义
Table 6 Description of variables for TE process
变量名 | 含义 | 变量名 | 含义 |
---|---|---|---|
X1 | 物料A 流量 | X13 | 分离器 |
X2 | 物料D 流量 | X14 | 分离器塔底流量 |
X3 | 物料E 流量 | X15 | 汽提塔液位 |
X4 | A、B、C总进料 | X16 | 汽提塔压力 |
X5 | 再循环流量 | X17 | 汽提塔塔底流量 |
X6 | 反应器进料量 | X18 | 汽提塔温度 |
X7 | 反应器压力 | X19 | 蒸汽流量 |
X8 | 反应器液位 | X20 | 压缩机功率 |
X9 | 反应器温度 | X21 | 反应器冷凝水出口温度 |
X10 | 排放速度 | X22 | 冷凝器冷却水出口温度 |
X11 | 分离器温度 | Y | 产物中G组分摩尔分数 |
X12 | 分离器液位 |
变量 | 含义 |
---|---|
X1 | 塔顶压力 |
X2 | 塔顶温度 |
X3 | 142#温度 |
X4 | 168#温度 |
X5 | 塔釜采出温度 |
X6 | 再沸器出口物料温度 |
Y | 塔顶乙烷浓度 |
表7 乙烯精馏塔过程变量
Table 7 Process variables of ethylene distillation tower
变量 | 含义 |
---|---|
X1 | 塔顶压力 |
X2 | 塔顶温度 |
X3 | 142#温度 |
X4 | 168#温度 |
X5 | 塔釜采出温度 |
X6 | 再沸器出口物料温度 |
Y | 塔顶乙烷浓度 |
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