Detecção e classificação de anomalias de folga em linhas de alta tensão
por Alberto Vale, João Gomes-Mota
Albatroz Engenharia, Lisbon, Portugal
publicado no CONTROLO2006, a 7ª Conferência Portuguesa em Controlo Automático, Lisboa, 11-13 Setembro 2006.
Nota: CONTROLO é uma conferência bianual organizado pela APCA – Associação Portuguesa de Controlo Automático, o membro nacional Português da IFAC.
Resumo
An on-the-fly solution is proposed to be carried on an aircraft used to inspect over-head power lines to find anomalies to the safety distances required for electrical power exploitation, yielding a significant contribution to hazard reduction and improving quality of service. The solution is based on laser range scanner and GPS used to measure distances and to create a 3D model of the environment around the line. The paper focuses on the algorithms for data clustering, interpolation, heuristics, classification and anomaly detection. Field results are shown.
Palavras-chave (do IFAC)
Solid-state lasers, Global Positioning Systems, Classification, Probabilistic Risk Assessment, Safety, Power Lines, Airborne, LIDAR