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恶劣天气下海上油田作业场景交互式通信网络的数据传输延迟补偿算法

Data transmission delay compensation algorithm for interactive communication network of offshore oil field operation scene in bad weather.

作者信息

Xiang Jing, Du Xin

机构信息

Cnooc Information Technology Co., Ltd., Shenzhen, Guangdong, China.

出版信息

PLoS One. 2025 Jan 6;20(1):e0317137. doi: 10.1371/journal.pone.0317137. eCollection 2025.

DOI:10.1371/journal.pone.0317137
PMID:39761281
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11703109/
Abstract

A data transmission delay compensation algorithm for an interactive communication network of an offshore oil field operation scene in severe weather is proposed. To solve the problem of unstable microwave signals and a large amount of noise in the communication network caused by bad weather, the communication network signal denoising method based on Lagrange multiplier symplectic singular value mode decomposition is adopted, and the communication network data denoising process is realized through five steps; phase space reconstruction, symplectic geometric similarity transformation, grouping, diagonal averaging, and adaptive reconstruction. Simultaneously, the weak communication signal is compensated after being captured, that is, the characteristics of the weak signal are enhanced. On this basis, the communication network signals are collected to obtain delay information, and the data transmission delay of the communication network is predicted using the neural network algorithm based on long-term and short-term memory; Based on the prediction result of transmission delay, the PID controller is used to calculate the transmission delay compensation amount of the communication network, and the calculation result of the compensation amount is input into the delay compensator to realize transmission delay compensation. The experimental results show that the algorithm can effectively improve the quality of data transmission in the communication network and has a good delay compensation effect to ensure real-time communication.

摘要

提出了一种用于恶劣天气下海上油田作业场景交互式通信网络的数据传输延迟补偿算法。针对恶劣天气导致通信网络中微波信号不稳定、噪声量大的问题,采用基于拉格朗日乘子辛奇异值模态分解的通信网络信号去噪方法,通过相空间重构、辛几何相似变换、分组、对角平均和自适应重构五步实现通信网络数据去噪过程。同时,对捕获后的弱通信信号进行补偿,即增强弱信号的特征。在此基础上,采集通信网络信号获取延迟信息,利用基于长短期记忆的神经网络算法预测通信网络的数据传输延迟;根据传输延迟的预测结果,采用PID控制器计算通信网络的传输延迟补偿量,并将补偿量的计算结果输入延迟补偿器实现传输延迟补偿。实验结果表明,该算法能有效提高通信网络中数据传输的质量,具有良好的延迟补偿效果,可确保实时通信。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/62cd/11703109/0233862b69ff/pone.0317137.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/62cd/11703109/9455c43c86da/pone.0317137.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/62cd/11703109/84942c30f58b/pone.0317137.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/62cd/11703109/d4a22720a3f3/pone.0317137.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/62cd/11703109/8fbb6aa8d68f/pone.0317137.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/62cd/11703109/cd6a3a7855be/pone.0317137.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/62cd/11703109/60da420c2f81/pone.0317137.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/62cd/11703109/0233862b69ff/pone.0317137.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/62cd/11703109/9455c43c86da/pone.0317137.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/62cd/11703109/84942c30f58b/pone.0317137.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/62cd/11703109/d4a22720a3f3/pone.0317137.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/62cd/11703109/8fbb6aa8d68f/pone.0317137.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/62cd/11703109/cd6a3a7855be/pone.0317137.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/62cd/11703109/60da420c2f81/pone.0317137.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/62cd/11703109/0233862b69ff/pone.0317137.g007.jpg

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本文引用的文献

1
Influence of offshore oil and gas structures on seascape ecological connectivity.海上油气设施对海景生态连通性的影响。
Glob Chang Biol. 2022 Jun;28(11):3515-3536. doi: 10.1111/gcb.16134. Epub 2022 Mar 16.