• Journal of Korea Entertainment Industry Association
• /
• v.15 no.3
• /
• pp.311-321
• /
• 2021

In this study, a smart switchboard for power supply of entertainment devices was developed for the following purposes. First, the heat generated when the high-temperature and humid air inside is cooled by the thermoelectric module is smoothly discharged to the outside of the switchboard, thereby maximizing the cooling effect. So, it is possible to prevent excessive temperature rise inside the switchboard. Various problems such as condensation inside the switchboard can be prevented by controlling the temperature of the switchboard in which a fire occurs due to excessive heat in summer, removing moisture due to the cooling effect, and generating heat instead of cooling in winter. Second, it is a smart switchboard control system that can reduce the salt that may permeate inside the switchboard. Third, the smart switchboard system is an IoT-controlled switchboard that collects environmental data using a variety of sensors and can remotely control devices through a smartphone, and can be easily used in various fields.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.13 no.3
• /
• pp.1674-1688
• /
• 2019

As environmental pollution and fossil fuel energy problems from fuel vehicle have occurred, the interest of electric vehicle(EV) has increased. EV industry and energy industry have grown dynamically in these days. It is expected that the next generation of primary transportation will be EV, and it is necessary to prepare EV infra and efficient energy management such as EV communication protocol, EV charge station, and smart grid. Those EV and energy industry fields are now on growth. Also, the study and development of them are now in progress. In this paper, distributed charge signal processing software for smart slow and quick EV charge is proposed and designed for dealing with EV charge demand. The software consists of smart slow and quick EV charge schedule engine and EV charge power distribution core. The software is designed to support two charge station types. One is normal EV charge station and the other is bus garage EV charge station. Both two types collect the data from EV charge stations, and then analyze the collected data. The software suggests optimized EV charge schedule and deliveries EV charge power distribution information to power switchboard system, and the designed software is implemented on embedded system. It is expected that the software provides efficient EV charge schedule.