Publications des scientifiques de l'IRD

Xerri W., Saracco G., Ribodetti Alessandra, Zomero L., Picon P. (2022). Three-dimensional localization of buried polyethylene pipes using acoustic method. Sensors, 22 (23), 9433 [23 p.].

Titre du document
Three-dimensional localization of buried polyethylene pipes using acoustic method
Année de publication
2022
Type de document
Article référencé dans le Web of Science WOS:000897347800001
Auteurs
Xerri W., Saracco G., Ribodetti Alessandra, Zomero L., Picon P.
Source
Sensors, 2022, 22 (23), 9433 [23 p.]
Localization of buried polyethylene pipes is an important issue for network managers. This study focuses on an acoustic method, which consists of vibrating the pipe and observing the signal with a receiver placed on the ground surface. This method provides an estimate of the path of the pipe but gives no information on the depth. We developed a multi-sensor method based on the principle of vibrating the pipe, which allows estimating the depth while being non-invasive and non-destructive and without a priori information on the propagation medium. These sensors are positioned perpendicular to the pipe. We developed a new estimator to estimate the depth and the propagation velocity in the medium, which is an important variable in our problem. This estimator is based on the MUSIC algorithm and is adapted to our choice of modeling. In this paper, two models of travel times in typical situations are presented. The first one represents the case where all sensors can be placed inside the trench (on the ground surface) in which the pipe is buried. The second one represents the case where sensors are placed inside and outside the trench. These travel time models aim to provide a fast result to allow the method to be used by field agents. They are compared with a full wavefield modeling by finite differences.
Plan de classement
Sciences fondamentales / Techniques d'analyse et de recherche [020] ; Sciences de l'ingénieur : généralités [120]
Localisation
Fonds IRD [F B010086728]
Identifiant IRD
PAR00025382
Contact