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Ta ali
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Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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Internet of Things (IoT) implementation through Node-RED to control and monitoring induction motors Bahri, Faisal; Ta ali; Hendra, Ayu
Journal of Industrial Automation and Electrical Engineering Vol. 1 No. 1 (2024): Vol 1 No 1 (2024): June 2024
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/

Abstract

The Internet of Things (IoT) is a technology that plays an important role in the contemporary era, especially in the industrial sector. The Internet of Things allows remote access of physical objects at any time and from any location, simply by establishing an internet connection. Thus, in the control and monitoring of motors remotely, IoT allows adjusting the speed and direction of rotor rotation. The motor used is a 0.75 kW Siemens induction motor. To adjust the speed and direction of rotor rotation of the motor, a Sinamic G120 programmable logic controller S7-1200 VSD is programmed via TIA Portal to serve as the central controller for all induction motor control. A multi-interface system consisting of a KTP 700 Comfort HMI, a PC server, and clients in the form of PC and smartphone clients was used for control and monitoring of the induction motor. The visual interface of the HMI interface was designed using TIA Portal, while the visual interface of the server and client was designed using Node-RED. The PC server, PLC, HMI, and VSD are all connected via Ethernet. At the same time, the connection of the Internet of Things (IoT) client, which is integrated with the server, is connected via the Internet network. Research on IoT-based control and monitoring of induction motors through the Node-RED proposal has been successful and works as intended
Supervisory control and data acquisition system for solar panel based on Internet of things (IoT) Raihan Alfiansyah, Muhammad; Ta ali; Yuhendri, Muldi; Sardi, Juli
Journal of Industrial Automation and Electrical Engineering Vol. 1 No. 1 (2024): Vol 1 No 1 (2024): June 2024
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Supervisory control and data acquisition (SCADA) system on IoT-based solar power plant using HMI, PC, and Smartphone interfaces. HMI uses KTP 700 Comfrot, Siemens S7-1200 PLC connected to the internet via Ngrok, using Siemens TIA Portal V17. The purpose of monitoring the realtime state of the PLTS such as the condition of batteries, solar panels, inverters and loads used and maintaining from troubleshooting. This research designs hardware and software devices to develop a SCADA system. including PLC, HMI, PC, battery, SCC, inverter, solar panel and sensor devices and other actuators are arranged in such a way. software design is carried out in TIA Portal to program PLC and HMI, Node Red as an implementation of the internet of things. in the research it can be concluded that the application of ngrok on the localhost system is very easy, because it does not require a homebase to connect with an external network. and the output of solar panels is not always monitored by the temperature and solar radiation of the SCADA system on solar power plants based on the internet of things. the implementation of the internet of things uses Node Red and Ngrok software as a link between localhost and external networks. So the internet of things in this test can be controlled and monitored remotely with a cacatan must always be connected to the internet. Monitoring, control and data access systems work well
Prototype of Oily Water Separator (OWS) system on the ship using Outseal PLC Rahman, Alhabibur; Ta ali
Journal of Industrial Automation and Electrical Engineering Vol. 1 No. 2 (2024): Vol 1 No 2 (2024): December 2024
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/06aeb213

Abstract

Maritime transportation carries high risks of marine accidents, both while underway and at anchor, impacting the safety of crew, cargo, passengers, and the marine environment. Marine pollution, particularly from shipborne liquid waste, is a global concern with IMO standards requiring that liquid waste discharge must be below 15 ppm. Currently, oil-water separation on ships is performed manually, which is prone to human error and suboptimal equipment effectiveness. This study aims to develop an oil-water separation system on ships using outseal PLC as the central control unit. The system involves determining the water quality and turbidity values before starting the separation process. The process begins with filling waste liquid into the processing tank based on turbidity sensor readings. If the turbidity meets the desired value, the process continues with transferring to the final tank and monitoring water quality using a TDS sensor. If the water quality meets the standard (<15 ppm), disposal occurs; otherwise, the separation process continues until the criteria are met. Testing reveals that the system has an average error rate of 26.93% with an accuracy of 73.07%, while the TDS sensor measurements have an average error rate of 104.76% and an accuracy of 4.76%
Co-Authors BAHRI, FAISAL Hendra, Ayu Juli Sardi Muldi Yuhendri Rahman, Alhabibur Raihan Alfiansyah, Muhammad