Scheda di dettaglio – i prodotti della ricerca
| Dato | Valore |
|---|---|
| Title | Detection of river flow slow-down through sensing system and quasi-real time imaging |
| Abstract | Flow slow-down in rivers and artificial canals is a basic aspect to be monitored and kept strictly under control. Flow slow-downs can become a major concern in the event of extreme phenomena. The paper illustrates an advanced image processing method that uses particle tracking velocimetry in conjunction with a monadic approach to better characterize water flow in the presence of waste or debris that block normal water flow within a river. An high-speed camera installed beneath a bridge takes periodic images of the water flow. The measured water level and the images taken by the camera are sent to a central system in real-time. Results demonstrate the capability of the proposed method to accurately detect the presence of debris from the measured water flow. |
| Source | Flow measurement and instrumentation, pp. 102042-1–102042-9 |
| Keywords | Flow measurementSensing systemsImage processingParticle tracking velocimetryMeasurement and instrumentationMonadic vision |
| Journal | Flow measurement and instrumentation |
| Editor | Butterworths., Guilford, Regno Unito |
| Year | 2021 |
| Type | Articolo in rivista |
| DOI | 10.1016/j.flowmeasinst.2021.102042 |
| Authors | Aimé Lay-Ekuakille and Moise Avoci Ugwiri and Vito Telesca and Ramiro Velazquez and Giuseppe Passarella and Sabino Maggi |
| Text | 456692 2021 10.1016/j.flowmeasinst.2021.102042 Flow measurement Sensing systems Image processing Particle tracking velocimetry Measurement and instrumentation Monadic vision Detection of river flow slow down through sensing system and quasi real time imaging Aime Lay Ekuakille and Moise Avoci Ugwiri and Vito Telesca and Ramiro Velazquez and Giuseppe Passarella and Sabino Maggi Department of Innovation Engineering, University of Salento, Lecce, Italy Department of Industrial Engineering, University of Salerno, Fisciano, Italy School of Engineering, University of Basilicata, Potenza, Italy Faculty of Engineering, Universidad Panamericana, Aguascalientes, Mexico CNR IRSA Water Research Institute, Bari, Italy CNR IIA Institute of Atmospheric Pollution, Bari, Italy Flow slow down in rivers and artificial canals is a basic aspect to be monitored and kept strictly under control. Flow slow downs can become a major concern in the event of extreme phenomena. The paper illustrates an advanced image processing method that uses particle tracking velocimetry in conjunction with a monadic approach to better characterize water flow in the presence of waste or debris that block normal water flow within a river. An high speed camera installed beneath a bridge takes periodic images of the water flow. The measured water level and the images taken by the camera are sent to a central system in real time. Results demonstrate the capability of the proposed method to accurately detect the presence of debris from the measured water flow. Published version https //www.sciencedirect.com/science/article/pii/S0955598621001473 Lay Ekuakille et al., Detection of river flow slow down through sensing system and quasi real time imaging Lay Ekuakille et al., Detection of river flow slow down through sensing system and quasi real time imaging, Flow Measurement and Instrumentation 81, pp. 102042/1 9, October 2021. Journal pre proof. JFM Lay Ekuakille preprint 09092021.pdf Lay Ekuakille et al., Detection of river flow slow down through sensing system and quasi real time imaging Lay Ekuakille et al., Detection of river flow slow down through sensing system and quasi real time imaging, Flow Measurement and Instrumentation 81, pp. 102042/1 9, October 2021. Published version. 1 s2.0 S0955598621001473 main.pdf Articolo in rivista Butterworths. 0955 5986 Flow measurement and instrumentation Flow measurement and instrumentation Flow meas. instrum. giuseppe.passarella PASSARELLA GIUSEPPE sabino.maggi MAGGI SABINO |