Remote Monitoring and Management System for Oil and Gas Facilities with Integrated IoT and Artificial Intelligence Data Analysis
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| Publicat a: | International Journal of Advanced Computer Science and Applications vol. 16, no. 5 (2025) |
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| Autor principal: | |
| Publicat: |
Science and Information (SAI) Organization Limited
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| Matèries: | |
| Accés en línia: | Citation/Abstract Full Text - PDF |
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|---|---|---|---|
| 001 | 3222641038 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 2158-107X | ||
| 022 | |a 2156-5570 | ||
| 024 | 7 | |a 10.14569/IJACSA.2025.0160594 |2 doi | |
| 035 | |a 3222641038 | ||
| 045 | 2 | |b d20250101 |b d20251231 | |
| 100 | 1 | |a PDF | |
| 245 | 1 | |a Remote Monitoring and Management System for Oil and Gas Facilities with Integrated IoT and Artificial Intelligence Data Analysis | |
| 260 | |b Science and Information (SAI) Organization Limited |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a An important trend in the development of digitalization is the expansion from digitalization to intelligence. For the intelligence of oil and gas facilities, it is to apply the multi-intelligent judgment and analysis technology to the actual production of oil and gas facilities, so as to realize the real-time data acquisition, analysis and “monitoring tube” integration of remote oil and gas facilities. As a flexible monitoring configuration software, force control provides a good development interface and a simple engineering implementation method under the trend of intelligent oil and gas facilities, which can facilitate users to realize and complete the functions of the monitoring layer. Its humanized application, such as trend curve, report output, limit alarm and other system functions, can also be more intuitive for users to monitor and process control on-site production data, and provide strong technical support for the intelligent process of oil and gas facilities. Based on this, this paper studies the design of remote monitoring and management system of oil and gas station by integrating the Internet of Things, artificial intelligence and big data analysis technology. | |
| 651 | 4 | |a China | |
| 653 | |a Data analysis | ||
| 653 | |a Internet of Things | ||
| 653 | |a Data acquisition | ||
| 653 | |a Big Data | ||
| 653 | |a Service stations | ||
| 653 | |a Remote monitoring | ||
| 653 | |a Artificial intelligence | ||
| 653 | |a Real time | ||
| 653 | |a Intelligent processes | ||
| 653 | |a Digitization | ||
| 653 | |a Software | ||
| 653 | |a Computer science | ||
| 653 | |a Communication | ||
| 653 | |a Data processing | ||
| 653 | |a Monitoring systems | ||
| 653 | |a Oil fields | ||
| 653 | |a Sensors | ||
| 653 | |a Process controls | ||
| 653 | |a Distributed control systems | ||
| 653 | |a Design | ||
| 653 | |a Data collection | ||
| 653 | |a Data transmission | ||
| 653 | |a Drilling | ||
| 773 | 0 | |t International Journal of Advanced Computer Science and Applications |g vol. 16, no. 5 (2025) | |
| 786 | 0 | |d ProQuest |t Advanced Technologies & Aerospace Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3222641038/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3222641038/fulltextPDF/embedded/6A8EOT78XXH2IG52?source=fedsrch |