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Time windows: the key to improving the early detection of fuel leaks in petrol stations

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  • DIINF. Ingeniería Informática y de Sistemas
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Author
Sigut Saavedra, MartaULL authority; Alayón Miranda, SilviaULL authority; Arnay del Arco, RafaelULL authority; Toledo Delgado, Pedro AntonioULL authority
Date
2020
URI
http://riull.ull.es/xmlui/handle/915/34798
Abstract
In this paper, the authors propose the use of time windows to improve the detection of fuel leaks in petrol stations. They employ two-class supervised classifiers that work with feature sets containing representative variables taken from station inventory books that indicate the presence of leaks. Fuel leaks in petrol stations with underground tanks pose a serious problem from an environmental standpoint. Large leaks are very evident, and are therefore detected quickly without the need to use a specific procedure. Small leaks, however, tend to go unnoticed, and if no detection techniques are employed, they are only identified once environmental damage has been done. This makes detecting the leak in the shortest time possible as important as ascertaining when the leak started. The authors show how the use of time windows, which entails having the classifier work with information accumulated over several days, can be used to efficiently resolve the proposed problem, fully complying with the applicable regulation.
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Universidad de La Laguna

Universidad de La Laguna

Pabellón de Gobierno, C/ Padre Herrera s/n. | 38200 | Apartado Postal: 456 | San Cristóbal de La Laguna, Santa Cruz de Tenerife - España | Teléfono: (+34) 922 31 90 00