Technological Platform for Hydrogeological Risk Computation and Water Leakage Detection based on a Convolutional Neural Network

2021 ◽  
Author(s):  
Alessandro Massaro ◽  
Antonio Panarese ◽  
Angelo Galiano
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Leakage Detection ◽  
Water Leakage ◽  
Technological Platform ◽  
Water Leakage Detection

Smart Cities: Non Destructive Approach for Water Leakage Detection

2019 ◽  
pp. 273-280
Author(s):  
Lucas Nunes Monteiro ◽  
Felipe Crispim da Rocha Salvagnini ◽  
Edinei Peres Legaspe ◽  
Sidney José Montebeller ◽  
Andréa Lucia Braga Vieira Rodrigues ◽  
...  
Keyword(s):  
Smart Cities ◽  
Leakage Detection ◽  
Water Leakage ◽  
Water Leakage Detection ◽  
Non Destructive

scholarly journals Truly Distributed Optical Fiber Sensors for Structural Health Monitoring: From the Telecommunication Optical Fiber Drawling Tower to Water Leakage Detection in Dikes and Concrete Structure Strain Monitoring

2010 ◽  
Vol 2010 ◽  
pp. 1-13 ◽  
Author(s):  
Jean-Marie Henault ◽  
Gautier Moreau ◽  
Sylvain Blairon ◽  
Jean Salin ◽  
Jean-Robert Courivaud ◽  
...  
Keyword(s):  
Optical Fiber ◽  
Optical Fibers ◽  
Brillouin Scattering ◽  
Optical Fiber Sensors ◽  
Leakage Detection ◽  
Strain Sensing ◽  
Water Leakage ◽  
Fiber Sensors ◽  
Practical Applications ◽  
Water Leakage Detection

Although optical fiber sensors have been developed for 30 years, there is a gap between lab experiments and field applications. This article focuses on specific methods developed to evaluate the whole sensing chain, with an emphasis on (i) commercially-available optoelectronic instruments and (ii) sensing cable. A number of additional considerations for a successful pairing of these two must be taken into account for successful field applications. These considerations are further developed within this article and illustrated with practical applications of water leakage detection in dikes and concrete structures monitoring, making use of distributed temperature and strain sensing based on Rayleigh, Raman, and Brillouin scattering in optical fibers. They include an adequate choice of working wavelengths, dedicated localization processes, choices of connector type, and further include a useful selection of traditional reference sensors to be installed nearby the optical fiber sensors, as well as temperature compensation in case of strain sensing.

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