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    Item type:Publication,
    Industrial IoT Edge Computing Platform for Real-Time Monitoring
    (2022-01-01) ;
    Damrongphokaphan, Watanyou
    ;
    Phormraksa, Kittisak
    ;
    Witchuvanit, Korntawat
    This research's goal is to develop an industrial IoT edge computing platform for Industrial IoT 4.0 that are currently in the process of transitioning from legacy systems to adopting IoT system. Due to connecting and collecting data from each machine part is still a problem of transition from the old system, this is the origin of this research. The system consists of a Remote Terminal Unit (RTU) which collect data from machines with sensors and an Edge Computing Device used to collect data from RTUs via MQTT Protocol. The system also has an IoT platform that processes incoming data for storing in the database and displays on the Web Application in real time and in retrospect and can also alert to Line Notify according to the conditions predefined by the user. Based on the benchmark test, an edge computing device can concurrently handle RTU connections up to 800 connections.
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    Item type:Publication,
    Blockchain and Smart Contract Payment for Electric Vehicle Charging
    (2020-06-01)
    Chanthong, Natthanan
    ;
    Ruangsakorn, Thitiwat
    ;
    Our research aims to study, design and build the electronic payment system for electric vehicle (EV) charging using blockchain and smart contract technologies. Both technologies are used to control and manage payments and to decentralize the payment system, so the devices can automatically pay each other. In addition, our system lessens the inadequate of charging station for EV when travel in the long distance because our proposed let EV owners who also have charging facilities at their homes share their facilities and automatically get paid. Blockchain node is set up in charging station and is controlled by the application for EV owners. The application can show the charging information and control the payment and charging process automatically. For EV part, we simulated the data transmission between charging station and EV.