Final Project/Dissertation

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https://testir.kiu.ac.ug/handle/20.500.12306/2230

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Browsing Final Project/Dissertation by Author "Bwambale, Joseph"

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    Design & implementation of an industrial health and safety monitoring and prevention System using Radio Frequency Technology
    (Kampala International University ,Department of electrical & Telecommunications Engineering, 2019-08) Bwambale, Joseph
    An intelligent system is a system that uses information technology to monitor its environment, controls the accessories and communicates with the outside world. Smart industry is a multi-disciplinary technology; at the same time, it is developing. An intelligent industrial system has been developed to automatically achieve some activities performed frequently in daily working life to achieve more comfortable, accident free as well as easier working environment. A sample intelligent industrial Health and Safety Monitoring and Prevention System Using Radio Frequency technology that is one branch of the intelligent system is addressed in this study. The system is based on the proteus and Arduino software and can act as an accident prevention system for any working environment including permanent and temporary workstations, sites and institutional work offices. The system is monitoring the weather employees are correctly using personal protective equipment using radio frequency, monitors overload in industrial setups using current sensor as well as preventing accidents related to cutting machines driven by conveyor belts in industries using a capacitive touch sensor and the pertinent actuators. The system also has internet connection to monitor and control the factory equipment’s working conditions. This study involves the hardware implementation of a multiplatform control system for an industrial Health and Safety Monitoring and Prevention System Using Radio Frequency technology and Arduino software and this system belongs to a domain usually named smart systems. The approach used herein combines hardware and software technologies. Test results of the system have shown that it can be easily used for the smart workplace applications. Key words; Remote monitoring, protection, artificial intelligence, sensor technology and automation, radio frequency technology.