Endüstriyel Alanlarda Su Depolarının, Pompaların ve pH Değerinin İzlenmesi ve Kontrol Edilmesine Yönelik Endüstriyel Nesnelerin İnterneti Tabanlı Uygulama

Abstract

Bu çalışmada, birbirinden farklı mesafelerdeki 4 adet su kuyusunda bulunan 110 kW'lık su motorlarının kontrolü ve izlenmesi, 500 tonluk su depolarının izlenmesi ve ayrıca bir kimya fabrikasının yağmur suyu giderinin pH değerinin izlenmesi yapılmıştır. Uygulamada, Endüstriyel Nesnelerin İnterneti (IIoT) tabanlı 9 adet Raspberry Pi 3 gömülü sistem kartı kullanılmıştır. Farklı alanlardaki sensör verileri, geliştirilen analog dijital dönüştürücüler (ADC) ile alınmış ve gömülü sistem kartları ile açık kaynaklı InfluxDB veri tabanında toplanmıştır. Bu veriler, açık kaynaklı yönetici kontrol ve veri toplama sistemi (SCADA) Grafana yazılımı olan bir bilgisayar kurulumunda görselleştirilmiştir. Böylece Raspberry Pi 3 gömülü sistem kartları, açık kaynaklı InfluxDB ve Grafana yazılımı kullanılarak büyük bir sistemin IIoT uygulaması maliyet etkin bir şekilde gerçekleştirilmiştir.

Keywords

• IIoT
• Raspberry Pi
• InfluxDB
• Grafana
• Gömülü Sistem

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

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.

Keywords

• IIoT
• Raspberry Pi
• InfluxDB
• Grafana
• Embedded System

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