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Mr. Lucas Mendonça
Hardware Developer Analist
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6Years (2021-Present)
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Journal Article
CDClaudio Ferreira Dias
Claudio Ferreira DiasJOJuliane Regina de Oliveira
Juliane Regina de OliveiraLMLucas Mendonça
Lucas MendonçaLALarissa Medeiros de Almeida
Larissa Medeiros de AlmeidaELEduardo Rodrigues de Lima
Eduardo Rodrigues de LimaLWLucas Wanner
Lucas WannerThe collapse of overhead power line guyed towers is one of the leading causes of power grid failures, subjecting electricity companies to pay considerable, high-value fines. In this way, the current work proposes a novel and complete framework for the remote monitoring of mechanical stresses in guyed towers. The framework method comprises a mesh network for data forwarding and neural networks to improve the performance of Low-Power and Lossy Networks. The method also considers the use of multiple sensors in the sensor fusion technique. As a result, the risk of collapse of guyed cable towers reduces, due to the remote monitoring and preventive actions promoted by the framework. Furthermore, the proposed method uses multiple input variable fusions, such as accelerometers and tension sensors, to estimate the tower’s displacement. These estimations help address the structural health of the tower against failures (i.e., loosening of the stay cables, displacement, and vibrations) that can cause catastrophic events, such as tower collapse or even cable rupture.
About Me
Graduated in Computer Science from Universidade Católica de Goiás (PUC-Goiás). Currently a Master student at Universidade Estadual de Campinas (UNICAMP) in the Department of Electrical and Computer Engineering (FEEC) in the area of image processing, classification and segmentation, specifically remote monitoring images and satellite remote sensing. Has experience and participation in several projects in the area of Image Processing, Computer Vision and Image Analysis. Past research at UNICAMP in the area of image processing, classification and segmentation, specifically remote monitoring images and satellite remote sensing (FEEC). Current research in Artificial Intelligence and Machine Learning, focused on problems involving digital images and multispectral images (FEEC). Currently participating in the development project of a multi-spectral camera to explore low-cost hardware and test platform for image processing algorithms and remote sensing at Instituto de Pesquisas Eldorado (ELDORADO). Aditionaly currently participating in various projects involving the Wi-Sun telecommunications technology standard, ranging from technical specification to practical application in IoT projects (ELDORADO).