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Author(s)

José Sinézio Rebello de Faria

• Document type: Master's Dissertation
• Press: São Paulo.
• Institution: Universidade de São Paulo (USP). Escola Politécnica (EP/BC)
• Defense date: 2023-06-07

Examining board members

Carlos Eduardo Cugnasca; Sergio Roberto de Mello Canovas; Guiou Kobayashi

• Advisor: Carlos Eduardo Cugnasca

Abstract

The presence of trees in urban centers provides a series of benefits for individual and community well-being. Therefore, it is important to maintain them properly in cities, otherwise it can cause a high number of ruptures or falls, which can lead to human or material losses. With tools for preventive or corrective actions in relation to the impacts of winds and storms on trees and urban forests, it is possible to prevent or reduce damage from these occurrences. In this sense, this research proposed a tree monitoring system, focusing on the analysis and prediction of the risk of tree falls in urban environments. The proposed hypothesis seeks to obtain the relationship between wind speed and the variables related to the rupture of a tree. Using the prototyping methodology, a system was designed and implemented to prove the hypotheses raised. A mathematical modeling was used to predict the point of fall and rupture of the tree, and the prototypes were evaluated through laboratory and field experiments. By carrying out experiments to validate the processing and energy consumption, using a time stamp on the generated data, results were obtained that show the viability of a monitoring system, highlighting as one of the main results the data collection system based on the internet of things, with sensors installed in trees and data storage and analysis performed in the cloud. (AU)

• FAPESP's process: 20/01673-2 - Proposal of a tree monitoring system using inertial sensors within the IoT paradigm
• Grantee: José Sinézio Rebello de Faria
• Support Opportunities: Scholarships in Brazil - Master