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数据传输延迟补偿算法用于在恶劣天气下离岸油田操作场景的交互式通信网络
Jing Xiang1, Xin Du1
1Cnooc Information Technology Co., Ltd., Shenzhen, Guangdong, China.
PloS one
|January 6, 2025
概括
这项研究引入了一种新的算法,以改善在恶劣天气期间的海上油田通信. 该方法有效地弥补数据传输延迟,并提高实时操作的信号质量.
科学领域:
- 工程 工程师 工程师 工程师
- 计算机科学 计算机科学
- 电信 电信服务 电信服务 电信服务
背景情况:
- 恶劣的天气条件,如风暴,通过引起不稳定的微波信号和通信网络中的高噪音水平来破坏海上油田运营.
- 这些信号干扰导致数据传输延迟和通信质量降低,影响离岸运营所必需的实时监控和控制.
研究的目的:
- 提出和验证数据传输延迟补偿算法,用于在遇到恶劣天气的海上油田操作场景中的交互式通信网络.
- 在具有挑战性的环境条件下提高通信系统的可靠性和实时能力.
主要方法:
- 基于拉格朗日乘数简单单值模式分解 (包括相位重建,简单几何相似性转换,分组,对角平均和自适应重建) 的信号消音方法被用于解决信号不稳定性和噪声.
- 软弱的通信信号在捕获后得到了增强.
- 使用长期和短期记忆 (LSTM) 神经网络算法预测数据传输延迟.
- 基于LSTM预测,使用PID控制器计算了基于LSTM预测的传输延迟补偿金额.
主要成果:
- 拟议的算法有效地提高了通信网络中数据传输的质量.
- 实现了显著的延迟补偿效应,确保了通信的实时性质.
- 无噪技术成功地减轻了恶劣天气造成的噪音和信号不稳定性.
结论:
- 开发的算法为在恶劣天气条件下的海上油田通信网络中数据传输延迟补偿提供了有效的解决方案.
- 集成信号消噪,基于LSTM的预测和PID控制,提高了通信可靠性,并支持在具有挑战性的环境中实时操作.
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