基于函数链神经网络的管道煤气流量计量系统

来源期刊：中南大学学报(自然科学版)2006年第5期

论文作者：鄂加强 张华美 龚金科 王耀南

文章页码：976 - 980

关键词：函数链神经网络;管道煤气;数据处理;测量

Key words：function chain neural network; pipeline gas; data process; measurement

摘    要：在管道煤气计量系统测量中引入管道煤气相对湿度修正,并采用湿度传感器转换相对湿度信号,利用函数链神经网络对管道煤气工况温度下所对应的水蒸汽饱和压力进行拟合,得到基于函数链神经网络的管道煤气流量计量模型和在线计量系统,从而大大简化管道煤气流量计量软件,在流量计设计范围内实现管道煤气流量实时在线计量。实际应用结果表明,该计量系统测量管道煤气流量误差小于0.7%。

Abstract: Relative humidity modifying of gas in the pipeline was introduced into measurement system and a humidity sensor was used to transform the signals of relative humidity. Moreover, online measurement system can be obtained after a fitting formula about water vapour saturated pressure in the gas pipeline at different temperatures is established by using the function chain neural network, which can greatly simplify the software of measurement of gas flux in the pipe-line and quickly and truly realize measurement of gas flux in the pipeline in real time and on line in the design range of flowmeter. The application results reveal that the measurement system can quickly measure the gas flux in the pipeline on line and its measurement error about gas flux in the pipeline is less than 0.7%.