Application of Monitoring and Controlling of Water Storage Tanks, Pumps, and pH Value in Industrial Areas Based on Industrial Internet of Things

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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Publication Details

Journal
Bilecik Şeyh Edebali Üniversitesi Fen Bilimleri Dergisi
Published
2025-05-30
DOI
https://doi.org/10.35193/bseufbd.1446441
Primary Topic
Water Quality Monitoring Technologies
Type
article
Field-Weighted Citation Impact
0.00

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article

Application of Monitoring and Controlling of Water Storage Tanks, Pumps, and pH Value in Industrial Areas Based on Industrial Internet of Things

Hayati Mamur, Hasan Basri Şentürk, Mohammad Ruhul Amin Bhuiyan
1 links
Bilecik Şeyh Edebali Üniversitesi Fen Bilimleri Dergisi
Water Quality Monitoring Technologies
article

Application of Monitoring and Controlling of Water Storage Tanks, Pumps, and pH Value in Industrial Areas Based on Industrial Internet of Things

Hayati Mamur, Hasan Basri Şentürk, Mohammad Ruhul Amin Bhuiyan
article en

Abstract

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.

Bilecik Şeyh Edebali Üniversitesi Fen Bilimleri DergisiVol. 12(1)
Manisa Celal Bayar University (TR), Islamic University (BD)
Manisa Celal Bayar Üniversitesi, Division of Graduate Education
Openalex Percentile: Top 87%
Water Quality Monitoring Technologies
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