Reconstruction Effect Analysis of Pipeline Water Leakage Signal Based on Compressed Sensing

At present, the understanding of the compressed sensing theory has gradually changed from theoretical research to practical application, for this reason, the compressed sensing theory is applied to water leakage monitoring in this paper, and the effect of water leakage signal reconstruction is verified through simulation experiments.The sensor node is used to collect water leaking sound signals, the linear prediction and framed windowing are two ways to increase the accuracy of the experiment, the sparse signals obtained after the two methods are processed according to the theory of compressed sensing: the signal is compressed by a random Gaussian measurement matrix Projection, and use Orthogonal Matching Pursuit algorithm for reconstruction. Through the comparison results of simulation experiments, it is found that after using framed windowing to process the water leaking sound signal, the compressed sensing can obtain a better reconstruction effect, can effectively retain the complete information, and can be applied to water leakage monitoring.