In this study, the control and monitoring of 110 kW water motors in 4 water wells at different distances from each other, the monitoring of 500-ton water tanks and additionally the monitoring pH value of the rainwater log of a chemical factory have been carried out. In the application, 9 Raspberry Pi 3 embedded system boards based on the Industrial Internet of Things (IIoT) have been utilized. The sensor data have been taken with the developed analog digital converters (ADCs) and collected in the open-source InfluxDB database with embedded system cards. These data have been visualized in a computer setup the open-source supervisory control and data acquisition system (SCADA) Grafana software. Thus, the IIoT application of a large system has been fulfilled cost-effectively by using Raspberry Pi 3 embedded system boards, open-source InfluxDB and Grafana software.
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Mamur et al. (2025) studied this question.
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