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In this study, an Edge-IoT architecture (Architecture) for collecting and determining real-time state information for remote maintenance of heat storage combustion arsenic acid devices (RTOs) was presented and visualization methods were implemented.
The Edge-IoT architecture system interfaces with the PLC that controls RTO operation monitoring and transmits real-time data to a remote server, and the channel data received through IoT is analyzed to establish a database and visualize the characteristics of the RTO device.
Dataset collection was performed three times per second to collect real-time data from a remote server. In the case of high-speed data at the Edge and Smart Sensor Corps, it was configured to enable remote transmission of the result after signal processing, which reduced the load on the Edge-IoT side and the Cloud side network, which enabled efficient operation of the system.
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IEEE/ICACT20250064 Slide.15
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