流量计输出信号的智能化网络整形识别技术

Technology of Pulse-Shaping and Recognition Based on Intelligent Network for Output Signal of Flow Meter

流量计在使用过程中由于受到噪声、电磁脉冲等因素的干扰,在使用时常会出现仪表显示不稳、显示数字失真等现象,有时会严重影响计量精度。文中深入分析了相关信号调理模块与软件滤波方法对该类信号处理过程中所存在的缺陷,结合神经网络等方法提出了一种流量计输出信号智能化整形识别技术,并结合实际信号对该方法进行了检验。结果表明,该方法能有效克服传统方法存在的缺陷,为流量计输出信号的整形与识别分析开辟了一条有效的途径。

The output signal of the flow meter may often show instability and distortion when interfered by the noise,electromagnetic pulses and other factors.Sometimes the computation precision is often affected seriously.The intelligent pulse-shaping and recognition technology combined with the neural network for the output signal of flow meter was used based on the analysis of the defects of the traditional methods,such as the signal conditioning module and software filter.The method was tested with the actual signal.Results show that this method can overcome the defects of the traditional ones,and provide a very effective approach for the pulse-shaping and recognition of the output signal of the flow meter.