Rancang Bangun Sistem Monitoring Kualitas Air pada Water Treatment Plant Berbasis industrial Internet of Things

Achmad, Achmad (2021) Rancang Bangun Sistem Monitoring Kualitas Air pada Water Treatment Plant Berbasis industrial Internet of Things. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Penelitian ini membahas mengenai perancangan sistem monitoring kualitas air pada Water Treatment Plant berbasis Industrial Internet of Things (IIoT). Sistem dibangun dengan peralatan berstandar industri menggunakan protokol komunikasi Modbus TCP antar equipment dan protokol MQTT untuk komunikasi ke cloud server. Sistem meliputi 2 buah I/O modul ADAM 6052 dan WISE 4012 juga intelligent RTU ADAM 3600 yang berfungsi sebagai IoT Gateway, WebAccess SCADA sebagai visualisasi dashboard dan SCADA sistem. Terdapat 2 sensor kualitas air, pilot led sebagai indikator, selector switch, alarm dan kipas sebagai output sistem. Pengumpulan data memanfaatkan cloud computing Microsoft Azure dan visualisasi data dengan dashboard berbasis website dan SCADA. Hasil uji transmisi data didapatkan nilai rata-rata delay sebesar 0.104 ms untuk transmisi lokal, 57.336 ms transmisi dengan internet, 158 ms respon output sistem, 7.2 s perubahan visualisasi pada dashboard dan packet loss 0% untuk transmisi data lokal, 1.059% untuk transmisi internet yang masuk dalam ketegori sangat baik menurut standar ITU.T-G.104. Dengan sistem monitoring kualitas air berbasis IIoT akan memudahkan monitoring secara real-time, akurat dalam pengumpulan data, meningkatkan efektifitas dan mengurangi biaya operasional.
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This study discusses the design of a water quality monitoring system at a Water Treatment Plant based on the Industrial Internet of Things (IIoT). Systems built with industry-standard equipment use the Modbus TCP communication protocol between devices and the MQTT protocol for communication to cloud servers. The system includes 2 I/O modules ADAM 6052 and WISE 4012 as well as intelligent RTU ADAM 3600 which functions as IoT Gateway, WebAccess SCADA as dashboard visualization and SCADA system. There are 2 air quality sensors, pilot led as an indicator, selector switch, alarm and fan as system output. Data collection utilizes Microsoft Azure cloud computing and data visualization with web-based dashboards and SCADA. The data transmission test results obtained an average delay value of 0.104 ms for local transmission, 57,336 ms transmission with the internet, 158 ms system output response, 7.2 s change visualization on the dashboard and 0% packet loss for local data transmission, 1,059% for internet transmission which falls into the very good category according to the ITU.TG.104 standard. With an IIoT-based water quality monitoring system, it will facilitate real-time monitoring, accurate data collection, increase effectiveness and reduce operational costs.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Water Treatment Plant, IIoT, Monitoring, Cloud Computing, Modbus
Subjects: T Technology > TD Environmental technology. Sanitary engineering > TD433 Water treatment plants
Divisions: Faculty of Industrial Technology and Systems Engineering (INDSYS) > Physics Engineering > 30201-(S1) Undergraduate Thesis
Depositing User: Achmad Achmad
Date Deposited: 03 Sep 2021 01:49
Last Modified: 03 Sep 2021 01:49
URI: http://repository.its.ac.id/id/eprint/91328

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