基于小波分析的太古热网泄漏信号识别研究

Research on signal identification of Taiyuan-Gujiao heat supply network based on wavelet analysis

以太古一级网为分析对象,采用小波变换的方法对某次试验采集的泄漏主信号及辅信号进行分析。首先对泄漏信号进行分解以提高信号识别度;然后对比选用haar小波基对泄漏信号进行小波变换和降噪处理,最后利用压力值比较的方法对供热一级网是否泄露进行判断。此方法可以实现主信号的有效识别,但由于辅信号泄漏时压力振幅过小,需要进一步优化算法。此文为供热一级网突发泄漏快速定位提供了一定的理论基础。

Taking the first-class Taiyuan-Gujiao network as the analysis object,the paper adopts the wavelet transform method to analyze the collected leaking main signals and auxiliary signals from some experiment,dissolves the leaking signals to improve the signal identification ratio,compares the wavelet transform and noise reduction of the leaking signals by haar wavelet basis,makes judgment whether the heat supply network leaks or not by adopting the comparison of pressure value,and indicates the method can realize the effective identification of the main signals,but the calculating method should be optimized for the smaller pressure amplitude during the leakage of the auxiliary signals,so as to provide some theoretic foundation for the efficient positioning of the urgent leakage from the first-class heat supply network.