Dissertação

Estimação do local de incidência da descarga atmosférica utilizando o método TOA e tempos artificiais de detecção dos sensores

Over the years, lightning were the central point of researches in various scientific communities around the world, no doubt for its aggressive and devastating nature, but mostly for damage caused in the electricity sector, so it is necessary to clarify what is and what it is for a Lightning Location...

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Autor principal: MIRANDA, Bruno Nazareno Prazeres de
Grau: Dissertação
Idioma: por
Publicado em: Universidade Federal do Pará 2017
Assuntos:
Acesso em linha: http://repositorio.ufpa.br/jspui/handle/2011/8011
Resumo:
Over the years, lightning were the central point of researches in various scientific communities around the world, no doubt for its aggressive and devastating nature, but mostly for damage caused in the electricity sector, so it is necessary to clarify what is and what it is for a Lightning Location System (LLS). This work proposes to demonstrate the operation of the algorithm utilized in LLS that is used to locate in geographical terms, lightning, using the arrival times of electromagnetic signals in the sensors. In order to prepare this paper it was used the data format generated by LPATS IV sensors belonging to Amazon Protection System (SIPAM). These data were generated in an artificial way for use in the algorithm tests. The lightning location will be based on a finite sequence rules that use the intersection of hyperbolas, resulting from the difference of arrival times at each sensor. The algorithm is able to identify the lightning location incidence using a system with three sensors. Each pair of sensors defines two hyperbole forming a total of six, because each hyperbole has a bright side and a negative side, so there will be two intersections of three hyperboles. For analysis of the results is considered the nearest crossing point to the sensor that identified the electromagnetic disturbance faster. Studies about atmospheric electricity, lightning types, electromagnetic radiation during storms, types of electromagnetic sensors and lightning detection networks have given the knowledge to develop the algorithm.