Data Processing for IoT in Oil and Gas Refineries
This paper summarizes and gives examples of the using of IoT in Industry 4.0, especially in Oil and Gas Refineries. Industry 4.0 and Industrial Internet of Things (IIoT) technologies are driving digitalization driven by software and data solutions in many areas, particularly in industrial automation...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Politeknik Negeri Malang
2022-03-01
|
| Series: | Jurnal Jaringan Telekomunikasi |
| Subjects: | |
| Online Access: | https://jartel.polinema.ac.id/index.php/jartel/article/view/300 |
| _version_ | 1811300676316168192 |
|---|---|
| author | Hutama A. Bramantyo Bagus Satrio Utomo Efrilia M. Khusna |
| author_facet | Hutama A. Bramantyo Bagus Satrio Utomo Efrilia M. Khusna |
| author_sort | Hutama A. Bramantyo |
| collection | DOAJ |
| description | This paper summarizes and gives examples of the using of IoT in Industry 4.0, especially in Oil and Gas Refineries. Industry 4.0 and Industrial Internet of Things (IIoT) technologies are driving digitalization driven by software and data solutions in many areas, particularly in industrial automation and manufacturing systems. Global refineries are currently all heavily instrumented, and process regulated in real-time to the millisecond. To meet the ever-increasing needs of operational demands, SCADA, Distributed Control Systems and Programmable Logic Controllers (DCS & PLCs) have grown significantly. On the other hand, certain assets and operations in a refinery are still not being monitored or evaluated in real-time. If an error occurs that causes production to be hampered, the company must bear large losses even though production stops in just a matter of minutes. This is one of the reasons why the oil and gas sector is starting to implement the Internet of Things (IoT). The overall aim of this paper is to give and summarize several papers to provide solutions for a simple process monitoring system that would enable process operators to identify any sources of abnormality quickly and easily in the process. A system is being made so that it can be accessed and transmit data remotely via a computer network and will display conditions in real-time without being limited by distance, space, and time. This will allow all previously disconnected assets and processes to be linked and monitored in real-time in a simpler, cost-effective, and easy-to-implement manner. |
| first_indexed | 2024-04-13T06:54:49Z |
| format | Article |
| id | doaj.art-29a52f45c797480a83d8ae72bb8ec961 |
| institution | Directory Open Access Journal |
| issn | 2407-0807 2654-6531 |
| language | English |
| last_indexed | 2024-04-13T06:54:49Z |
| publishDate | 2022-03-01 |
| publisher | Politeknik Negeri Malang |
| record_format | Article |
| series | Jurnal Jaringan Telekomunikasi |
| spelling | doaj.art-29a52f45c797480a83d8ae72bb8ec9612022-12-22T02:57:17ZengPoliteknik Negeri MalangJurnal Jaringan Telekomunikasi2407-08072654-65312022-03-01121485410.33795/jartel.v12i1.300300Data Processing for IoT in Oil and Gas RefineriesHutama A. Bramantyo0Bagus Satrio Utomo1Efrilia M. Khusna2State Polytechnic of SemarangInternational University FachhochschuleState Polytechnic of SemarangThis paper summarizes and gives examples of the using of IoT in Industry 4.0, especially in Oil and Gas Refineries. Industry 4.0 and Industrial Internet of Things (IIoT) technologies are driving digitalization driven by software and data solutions in many areas, particularly in industrial automation and manufacturing systems. Global refineries are currently all heavily instrumented, and process regulated in real-time to the millisecond. To meet the ever-increasing needs of operational demands, SCADA, Distributed Control Systems and Programmable Logic Controllers (DCS & PLCs) have grown significantly. On the other hand, certain assets and operations in a refinery are still not being monitored or evaluated in real-time. If an error occurs that causes production to be hampered, the company must bear large losses even though production stops in just a matter of minutes. This is one of the reasons why the oil and gas sector is starting to implement the Internet of Things (IoT). The overall aim of this paper is to give and summarize several papers to provide solutions for a simple process monitoring system that would enable process operators to identify any sources of abnormality quickly and easily in the process. A system is being made so that it can be accessed and transmit data remotely via a computer network and will display conditions in real-time without being limited by distance, space, and time. This will allow all previously disconnected assets and processes to be linked and monitored in real-time in a simpler, cost-effective, and easy-to-implement manner.https://jartel.polinema.ac.id/index.php/jartel/article/view/300iotoil and gasrefininginstrumentationpredictive analytics |
| spellingShingle | Hutama A. Bramantyo Bagus Satrio Utomo Efrilia M. Khusna Data Processing for IoT in Oil and Gas Refineries Jurnal Jaringan Telekomunikasi iot oil and gas refining instrumentation predictive analytics |
| title | Data Processing for IoT in Oil and Gas Refineries |
| title_full | Data Processing for IoT in Oil and Gas Refineries |
| title_fullStr | Data Processing for IoT in Oil and Gas Refineries |
| title_full_unstemmed | Data Processing for IoT in Oil and Gas Refineries |
| title_short | Data Processing for IoT in Oil and Gas Refineries |
| title_sort | data processing for iot in oil and gas refineries |
| topic | iot oil and gas refining instrumentation predictive analytics |
| url | https://jartel.polinema.ac.id/index.php/jartel/article/view/300 |
| work_keys_str_mv | AT hutamaabramantyo dataprocessingforiotinoilandgasrefineries AT bagussatrioutomo dataprocessingforiotinoilandgasrefineries AT efriliamkhusna dataprocessingforiotinoilandgasrefineries |