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提高油气场站自控系统数据稳定性的策略研究

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本研究深入探讨了油气场站自控系统数据稳定性的提升策略,聚焦于解决系统中的技术难题如数据传输的稳定性和抗干扰能力.通过分析现有系统的结构风险和技术、管理及环境因素的影响,提出了一系列改进措施,包括硬件升级、软件优化以及管理操作的优化.研究还强调了创新技术如人工智能和物联网在优化自控系统中的应用,以及环境保护和安全性的重要性.这些策略不仅旨在提升数据完整性和系统响应效率,还致力于降低操作错误率,并优化成本效益,为油气场站的可持续运营提供了坚实的技术支持.
Research on Strategies to Improve the Data Stability of Automatic Control Systems in Oil and Gas Field Stations
This study delves into the strategies for enhancing the data stability of automatic control systems in oil and gas field stations,focusing on addressing technical challenges such as the stability of data transmission and anti-interference capabilities.By analyzing the structural risks and impacts of technological,managerial,and environmental factors in existing systems,a series of improvement measures are proposed,including hardware upgrades,software optimization,and optimization of management operations.The research also emphasizes the application of innovative technologies such as artificial intelligence and the Internet of Things in optimizing automatic control systems,as well as the importance of environmental protection and safety.These strategies aim not only to improve data integrity and system response efficiency,but also to reduce operational error rates and optimize cost-effectiveness,providing solid technical support for the sustainable operation of oil and gas field stations.

oil and gas field stationsautomatic control systemsdata stabilityhardware upgradessoftware optimization

李进保

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中国石油玉门油田公司,甘肃酒泉 735000

油气场站 自控系统 数据稳定性 硬件升级 软件优化

2024

仪器仪表用户
天津仪表集团有限公司,中国仪器仪表学会节能技术应用分会

仪器仪表用户

影响因子:0.255
ISSN:1671-1041
年,卷(期):2024.31(9)