摘要
针对采用单一传感器无法对油水两相流流量准确测量的问题,将电导环阵列和内锥式差压2种传感器相结合,采用卡尔曼集中式融合估计方法与并行式融合估计方法分别实现油水总流量的测量.前者是根据局部各个传感器的测量值来重构全局的油水两相流总流量,后者是根据局部各个传感器测量值的估计值来重构全局的油水两相流总流量.实验测试结果表明,这2种方法均可以实现油水总流量的较准确测量,且并行式融合结果优于集中式融合结果.
To overcome the disadvantages of inaccurate measurement on oil-water two-phase flow process parameters utilizing a single sensor,a measurement system combining the conductive ring sensors array and the inner cone dif-ferent pressure sensor was proposed. Kalman centralized fusion estimation and Kalman parallel fusion estimation were studied respectively to estimate the total flow rate of oil-water two-phase flow. The global estimation of the total oil-water two-phase flow based on Kalman centralized fusion was reconstructed by the local observations of each sensor. The global estimation of the total oil-water two-phase flow based on Kalman parallel fusion was reconstructed by the local estimations of each sensor. Dynamic results show that both the two methods can achieve an accurate measure-ment of the total flow rate of oil-water two-phase flow,and the Kalman parallel fusion estimation result is superior to the Kalman centralized fusion estimation result.
出处
《天津大学学报（自然科学与工程技术版）》
EI
CAS
CSCD
北大核心
2014年第10期903-908,共6页
Journal of Tianjin University：Science and Technology
基金
国家自然科学基金资助项目(61227006
51176141)
天津市自然科学基金资助项目(11JCZDJC22500)
关键词
油水两相流
流量测量
电导环传感器阵列
内锥式差压传感器
卡尔曼估计
集中式融合
并行式融合
oil-water two-phase flow
flow rate measurement
conductive ring sensors array
inner cone differentpressure sensor
Kalman estimation
centralized fusion
parallel fusion
