摘要
为了精确地测量外输原油的含水率,基于多传感器信息融合的基本思想,提出了一种检测外输原油含水率的方法,通过仿真表明其输出值更能逼近实际的含水值,能够满足生产过程的要求。在实际应用中具有一定的实用价值。
In order to accurately to measure the water content in oil transportation,a method based on multi-sensor information fusion has been discussed. The results via emulation indicate that the measurement scheme can more approach the true value and satisfy the requirement of production process, the method may have a practice value in practical application.
出处
《石油化工自动化》
CAS
2006年第3期76-79,共4页
Automation in Petro-chemical Industry
关键词
多传感器
信息融合
含水率
BP神经网络
multi-sensor
information fusion ； water content
BP neural network
