Design Of Buried Pipe Detection System Based On Tappin

Currently,the commonly used pipeline detection systems are mainly designed for largescale underground projects,which are costly,bulky,cumbersome to operate and produce limited detection results that are not suitable for indoor decoration and the detection of pipes of different materials buried within walls.To ensure safe construction and daily maintenance of pipelines buried in walls,a portable,low-cost,easy-to-operate,and high-precision wall detection system is urgently required.Therefore,this article analyzes the acoustic signal characteristics of pipes buried in walls,and proposes two methods for detecting pipes buried within walls based on power spectral estimation and support vector machines,as well as an optimized method using the refined composite multiscale dispersion entropy and the sparrow search algorithm for for detecting pipes through acoustic tapping.The article also designs a wall detection system based on acoustic tapping.The specific research content is as follows:1.To verify the feasibility of detecting pipelines buried in walls using acoustic tapping,the collected wall tapping signals were preprocessed and analyzed in the time-frequency domain for their acoustic characteristics.The tapping signals in pipes of different materials buried in walls are shown to be non-stationary and nonlinear signals that exhibit distinct differences in the frequency domain,which provide a foundation for extracting the tapping signal characteristic features of pipes buried within walls.2.Based on the frequency domain characteristics of the tapping signal,a method for detecting pipes buried in walls using power spectral estimation and SVM was proposed.Using the Welch method to estimate the power spectrum of the signal,the peak value of the most concentrated energy was extracted as a feature parameter and inputted into the SVM classification model for pipeline location and material classification.The experimental results demonstrate that the proposed method can achieve an accuracy greater than 90%,thereby meeting the requirements for detecting the location and materials of pipes buried within walls.3.In order to improve the detection accuracy,a tapping detection method for pipes buried within walls based on RCMDE and SSA-SVM was proposed,which utilizes the nonstationary and nonlinear characteristics of the tapping signal.The RCMDE is used to detect the frequency and amplitude changes of the tapping signal,and to extract the multiscale pipeline characteristics,which are inputted into the SVM.The SSA was used to optimize the SVM classification model parameters,and the pipeline detection within the wall was achieved through model training.The experimental results demonstrate that the proposed method can achieve an accuracy of 98%,which significantly improves the accuracy of detecting pipes buried within walls.4.A wall detection system based on acoustic tapping was designed,which consists of a signal acquisition module,a signal analysis module,a machine learning algorithm module,and a data display module.By conducting comparative experiments,the effectiveness of the tapping detection method based on RCMDE and SSA-SVM was verified,and the method was successfully implemented in the designed system,achieving a detection accuracy of 98% in practical applications,thereby demonstrating the accuracy and reliability of the system.