Published:
2022-12-30Issue:
Vol. 19 No. 2 (2022): Tekhnê JournalSection:
ArticlesVisual inspection of transmission tower insulators
Inspección visual de aisladores para torres de transmisión
Keywords:
Artificial intelligence, drone, electricity, isolators, transmission tower (en).Keywords:
Aisladores, dron, electricidad, inteligencia artificial, torre de transmisión (es).Downloads
Abstract (en)
One of the most important processes in the maintenance of electrical networks is the detection of faults in the insulators of transmission towers. These prevent an unexpected voltage drop at a point on the line. Therefore, it is necessary to maintain and supervise them in time so that they do not act inefficiently. There are systems to facilitate, streamline, and classify the detection of faults without putting anyone at risk, since the maintenance of electrical systems is one of the most risky and thus requires a quick solution. In this article, a methodology was implemented that facilitates the location of faults in the insulator system by means of an image that is captured by a drone and sent to the database to be analyzed by the code, detecting the possible fault.
Abstract (es)
Uno de los procesos más importantes en el mantenimiento de redes eléctricas es la detección de fallas en los aisladores de las torres de transmisión. Estos evitan que exista una caída de tensión no esperada en un punto de la línea. Por ello, es necesario el mantenimiento y supervisión a tiempo para que no actúe de manera ineficiente. Existen sistemas para facilitar, agilizar y clasificar la detección de fallas sin poner en riesgo ninguna persona, ya que el mantenimiento de los sistemas eléctricos son uno de los más riesgosos y así buscando una rápida solución. En este artículo se implementó una metodología que facilita la ubicación de fallas en el sistema de aisladores por medio de una imagen que es capturada por un dron, enviada a la base de datos para ser analizada por el código, detectando la posible falla.
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