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Journal : JOIV : International Journal on Informatics Visualization

Smart Control Upgrade: IoT-Enhanced Remote Management of Straightening Machine with NodeMCU ESP8266 Irawan, Bambang; Muhlasin, Muhlasin; Erzed, Nixon; Herwanto, Agus; Rahaman, Mosiur; Mooduto, Hanriyawan Adnan
JOIV : International Journal on Informatics Visualization Vol 9, No 5 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.5.2975

Abstract

Straightening machines are essential in the oil and gas industry. These machines are intended to straighten bent drill pipes after the drilling process. The operator must be near the straightening machine for manual operation and control. This limitation prevents the operator from monitoring the machine's performance directly and efficiently. In response to this challenge, this study proposes to use the Internet of Things to enable remote control and monitoring of the straightening machine using the NodeMCU ESP8266 microcontroller. The proposed system integrates sensors and electronic components to collect and process critical data from the straightening machine. The INTER-METH method develops an IoT system to control the straightening machine remotely. The RemoteXY cloud server receives the collected data via a Wi-Fi network using the Message Queuing Telemetry Transport protocol. This setup enables real-time data retrieval by an Android-based application. The proposed system allows the user to monitor the machine's operational status and control it remotely, thereby increasing efficiency by up to 45% and reducing the total cost of operation by about 60%. With the implementation of IoT, the operator could remotely monitor the performance of the straightening machine, thereby increasing operator safety by more than 50%. These advances improve operators' safety conditions and simplify maintenance and operational processes. In addition, future research could focus on robust data security measures. These developing systems could be operated with other industrial IoT platforms and utilize data analytics for predictive maintenance, extending the machine's life.
Co-Authors A.A. Ketut Agung Cahyawan W Adi Widiantono Adrian Adrian Akbar, Habibullah Alfian Mahendra, Muhammad Anggoro, Rio Anwar Senen Ardana Putri, Sevtia Ary Prabowo Azis, Nur Bambang Irawan Budi Tjahjono Cahyomayndarto, Eko Diah Aryani, Diah Diana Novita Diana Novita Diantoro, Karno Donny Hamzah P.H. Dyah Kurniawati Dzikra, Alfi Muhammad Elsy Rahajeng, Elsy Era Sari Munthe Essy Malays Sari Sakti Evi Martaseli Fahrul Nurzaman Hani Dewi Ariessanti Hanifah Hanifah hanifah hanifah Husni Abdul Muchlis Ichwani, Arief Insana, Dwi Rorin Mauludin Irawan, Bambang Irwanto, Dola Ismail Ismail Istianingsih, Nanik Iwan Setiawan Jason, Aaron Jefry Sunupurwa Asri Khasanah Khasanah Komul, Theodora Maria Putri Kurniawati, Anastasia Cyntia Dewi Latumapayahu, Febrian Firmansyah Malabay Malabay Marwan Marwan Mayndarto, Eko Cahyo Melinda Melinda Moch Anton Maulana Mooduto, Hanriyawan Adnan Muhammad Hadi Arfian Muhlasin, Muhlasin Nafisah Yuliani Nixon Erzed Nizirwan Anwar Novia Aprilia Nugroho, Irfan Hari Nurchaerani, Meiyanti Nurhayati Nurhayati Nurmalasari, Mieke Pangestu Selokaton, Anjang Pramesty, Feranti Destina Primaranti, Jenyta Putera Setiawan, Erlangga Rahaman, Mosiur Ratna Yulika Go Roy Budiharjo Samuel Samuel Sembiring, Rinawati Septian, Irfan Setiowati, Dewi Sitti Suhada Sri Kurniawati Sucipto, Purwo Agus Sutanto, Imam Tria Saras Pertiwi Unik Ambarwati Visal Mohammad Rizki Wahyu, Sawali Widyanto, Muhammad Laras Widyawan, Tri Ismardiko Yulhendri Yulhendri Yuliani, Nafisah Yuliati -