Content area

Abstract

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.

Details

1009240
Location
Title
Remote Monitoring and Management System for Oil and Gas Facilities with Integrated IoT and Artificial Intelligence Data Analysis
Author
Volume
16
Issue
5
Publication year
2025
Publication date
2025
Publisher
Science and Information (SAI) Organization Limited
Place of publication
West Yorkshire
Country of publication
United Kingdom
ISSN
2158107X
e-ISSN
21565570
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
ProQuest document ID
3222641038
Document URL
https://www.proquest.com/scholarly-journals/remote-monitoring-management-system-oil-gas/docview/3222641038/se-2?accountid=208611
Copyright
© 2025. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2025-06-25
Database
2 databases
  • Coronavirus Research Database
  • ProQuest One Academic