Is kazalarini onleyebilmek icin bakim/onarim personelinin kullanabilecegi bir giyilebilir emniyet sisteminin tasarlanmasi

TL;DR

This paper presents a wearable safety system for maintenance personnel that monitors health and environmental data, predicts operator suitability, and can stop machines to prevent accidents in industrial settings.

Contribution

It introduces a novel integrated wearable safety device with decision support capabilities for industrial maintenance safety.

Findings

System can stop machines immediately based on health data

Predicts operator suitability according to risk levels

Enhances safety during maintenance operations

Abstract

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.