摘要
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。
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 costeffectiveness,providing solid technical support for the sustainable operation of oil and gas field stations.
作者
李进保
Li Jinbao(PetroChina Yumen Oilfield Company,Jiuquan,Gansu,China,735000)
出处
《仪器仪表用户》
2024年第9期7-9,共3页
Instrumentation
关键词
油气场站
自控系统
数据稳定性
硬件升级
软件优化
oil and gas field stations
automatic control systems
data stability
hardware upgrades
software optimization
