Título: State Machines Applied To Supervise The Live Line Work In Electrical Energy Distribution System
Autores: Faria, Giovani C.; Leite, Francisco E. A.; Prado, Frederico R.; Silveira, Eric M.; Murari, Carlos A. F.; Silva, José F. R.; Ramos, Gustavo S.
Resumo: We present a method based on Finite State Machine (FSM) to supervise actions performed by electricians when working on live line activities related with electrical energy distribution systems up to 34.5 kV. The Live Line Maintenance (LLM) is necessary for economic reasons. It is of major importance to electricians performing such activities that a series of steps and safety procedures are taken in order to guarantee that the undergoing work procedure will be carried out without causing injuries to the person executing the assigned task. The proposal is exemplified using a real scenario where images were taken from a fixed camera whose purpose is to verify that the prototype being developed is able to diagnose the activity being monitored. The work emphasizes a specific task chosen to exemplify and check the capabilities of the developed software to provide an automatic verification of the correctness of the task being monitored. The results show that the proposed method is feasible.
Palavras-chave: Finite state machine; artificial intelligence; live line maintenance; object recognition
Código DOI: 10.21528/CBIC2011-02.1
Artigo em pdf: st_02.1.pdf
Arquivo BibTex: st_02.1.bib