  This study aims to develop a wearable device that collect health data from
maintenance personnel and environmental conditions data in order to ensure the
safety of the staff in industrial work areas where have different levels of
risk categories. This device can stop machine immediately according to the
health parameters that collected from the maintenance personnel to prevent work
accidents and also with measuring stress level of this personnel, system make
prediction of suitability of personnel for maintenance operation according to
degree of risk level of machine. System consists from four parts. Wearable
unit, smartphone, server computer and machine mounted unit. The wearable device
can measure personnel; heart rate, oxygen saturation, body temperature, skin
resistance; and also collect data from environment; heat, light, humidity, CO2.
The results which obtained by decision support system algorithm can stop
machine immediately or predict the suitability of corresponding operator for
this maintenance operation. This application is an important personal safety
system and can prevent work accidents that may occur during maintenance or
repair operations.
