Safety state identification of concrete pumping pipeline based on multi-channel audio signals

Shanghai Construction Group Co., Ltd, Shanghai 201114, China

^* Corresponding author: flamehe@163.com

Abstract

Based on the principle of superposition and attenuation of sound propagation, a Multi-point Multi-channel noise Reduction Method (MMRM) for audio monitoring is proposed. With the help of the proposed noise reduction method, the sounds made by the concrete pumping-pipelines themselves on the construction site and the environmental noises are separated in real time. Then, the Mel-Frequency Cepstral Coefficients (MFCCs) and spectral centroids of the filtered pumping-pipeline signals are extracted in real time as the features. Finally, the distance between the currently obtained feature vector of the pipeline signals and the previous accumulated MFCC clustering are determined as the parameter for safety identification. In order to verify the actual effects of the MMRM and the analysis accuracy of MFCCs in the clustering, several numerical tests and field measurements are carried out. The numerical results show that the MMRM has an excellent performance on noise reduction; the feature vectors composed of the MFCCs with length no greater than 4 are sufficient for the recognition and clustering of pumping-pipeline operation state.