Bibliographic citations
Miranda, J., Changa, O. (2017). Implementación de un sistema de monitoreo para medir la fatiga DSS-Drive State Sensor en camiones de acarreo en la empresa de gran minería de la región Arequipa, 2016 [Trabajo de suficiencia profesional, Universidad Tecnológica del Perú]. https://hdl.handle.net/20.500.12867/747
Miranda, J., Changa, O. Implementación de un sistema de monitoreo para medir la fatiga DSS-Drive State Sensor en camiones de acarreo en la empresa de gran minería de la región Arequipa, 2016 [Trabajo de suficiencia profesional]. PE: Universidad Tecnológica del Perú; 2017. https://hdl.handle.net/20.500.12867/747
@misc{renati/811858,
title = "Implementación de un sistema de monitoreo para medir la fatiga DSS-Drive State Sensor en camiones de acarreo en la empresa de gran minería de la región Arequipa, 2016",
author = "Changa Cam, Oscar Ernesto",
publisher = "Universidad Tecnológica del Perú",
year = "2017"
}
The fatigue factor in the mining industry has a high level of risk in the operation of equipment from small equipment to big scale equipment such as haul trucks. This is why the implementation of a fatigue monitoring system in the big mining sector in the Arequipa Region through the DSS "Driver State Sensor" system, which has a camera with infrared accessories, speaker, vibrator motor, CPU and a GPS is a non-invasive system, which allows to alert the operation to a sign of fatigue presented by a truck operator, by recognizing the signs of fatigue given not only by the closing of eyes but, By movements made by nose, eyebrows, cheekbones, mouth, head, you can set a fatigue alarm in just 1 sec., This activates the alarms in the cabin that are the loudspeaker and the vibrator motor that is installed in the back of the Seat of the truck operator. It should be noted that the system issues a report, which can be analyzed to diagnose future fatigue problems. The following results have been obtained through the method of observation of the reports; The data were analyzed, and it is concluded that the month in which major fatigue events occur is in the month of December, and this is directly related to a psychosocial factor because it is the last month of the year; Besides not necessarily having more haul trucks implemented with the fatigue monitoring system, you will have more fatigue events. All the indicators used may have certain limitations, since they can not provide very accurate data, since fatigue and drowsiness is a human factor that can be variable.
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