云边协同语义架构下的海洋监测新机制

doi:10.12305/j.issn.1001-506X.2026.08.30

系统工程与电子技术 ›› 2026, Vol. 48 ›› Issue (8): 2850-2858.doi: 10.12305/j.issn.1001-506X.2026.08.30

• 通信与网络 • 上一篇

云边协同语义架构下的海洋监测新机制

金志刚, 王颖(), 梁嘉伟, 程思萌, 李根

天津大学电气自动化与信息工程学院，天津 300072

收稿日期:2025-04-11 修回日期:2025-07-02 出版日期:2025-12-10 发布日期:2025-12-10
通讯作者: 李根 E-mail:13483870209@163.com
作者简介:金志刚（1972—），男，教授，博士，主要研究方向为网络信息安全、社交网络、水下语义通信、水下传感网络
王　颖（2000—），女，硕士研究生，主要研究方向为水下语义通信、水声传感器网络
梁嘉伟（2000—），男，博士研究生，主要研究方向为水下语义通信、水下路由协议
程思萌（1997—），女，博士研究生，主要研究方向为水下语义通信、图像处理、图像传输
基金资助:
国家自然科学基金（52471364, 52171337）资助课题

New mechanism for ocean monitoring based on cloud-edge collaborative semantic architecture

Zhigang JIN, Ying WANG(), Jiawei LIANG, Simeng CHENG, Gen LI

School of Electrical and Information Engineering，Tianjin University，Tianjin 300072，China

Received:2025-04-11 Revised:2025-07-02 Online:2025-12-10 Published:2025-12-10
Contact: Gen LI E-mail:13483870209@163.com

摘要/Abstract

摘要：

面向原始数据传输的传统水声传感器网络架构面临高能耗、长时延和低传输效率的挑战。相比之下，语义传输通过提取任务信息，可有效减少数据传输量，降低任务响应延迟。因此，提出了一种云边协同水下语义监测架构，并设计了多级协同海洋监测机制。在该架构下，边缘层负责语义信息提取，云智能层执行语义推理与决策生成。监测机制包括三级环节，卫星进行大范围海洋筛查，云边语义通信实现区域精准监测，水面语义网关实现多域联合监测。实验结果和分析表明，所提方法可有效降低任务响应时延和网络能耗，同时延长网络生命周期。

关键词: 水声传感器网络, 海洋监测架构, 云边协同, 语义传输

Abstract:

Architectures of previous underwater acoustic sensor networks that are oriented toward raw data transmission face significant challenges, including high energy consumption, long delay, and low transmission efficiency. However, semantic transmission reduces transmitted data volume by extracting task-relevant information and decreases task delay. To address these issues, a cloud-edge collaborative underwater semantic monitoring architecture is proposed and a multi-level collaborative ocean monitoring mechanism is designed. In this architecture, the edge layer extracts semantic information, while the cloud intelligence layer performs reasoning and decision-making. The monitoring mechanism includes three phases: large-scale marine screening by satellites, precise regional monitoring via cloud-edge semantic communication, and multi-domain collaborative monitoring through surface semantic gateways. Experimental results show that the proposed methed reduces task response delay and network energy consumption, and extends network lifetime.

Key words: underwater acoustic sensor network, ocean monitoring architecture, cloud-edge collaborative, semantic transmission

中图分类号:

TP 393

金志刚, 王颖, 梁嘉伟, 程思萌, 李根. 云边协同语义架构下的海洋监测新机制[J]. 系统工程与电子技术, 2026, 48(8): 2850-2858.

Zhigang JIN, Ying WANG, Jiawei LIANG, Simeng CHENG, Gen LI. New mechanism for ocean monitoring based on cloud-edge collaborative semantic architecture[J]. Systems Engineering and Electronics, 2026, 48(8): 2850-2858.

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模块	组成结构
编码器	（Conv2d + PReLU） × 5
语义特征选择模块	AdaptiveMaxPool2d, AdaptiveAvgPool2d Conv2d + ReLU Conv2d + Sigmoid MaxPool1d, AvgPool1d Conv2d + Sigmoid
解码器	（Trans Conv2d + PReLU） × 4 Trans Conv2d + Sigmoid

参数	参数值
通信半径/m	2 000
发送功率/W	2
接收功率W	0.75
等待功率/W	0.008
sink初始能量/J	1000
节点初始能量/J	100
数据包发送速率/kbps	1
数据包大小/bytes	100
广播包大小/bytes	10
数据包生成速率/（packets/s）	0.01~0.1

[1]	金志刚, 洪叶, 苏毅珊, 羊秋玲. 软件定义云边协同架构下的水下监测新机制[J]. 系统工程与电子技术, 2024, 46(3): 1101-1108.
[2]	金志刚, 尹欢, 苏毅珊. 基于不完美CSI的水声自适应功率分配算法[J]. 系统工程与电子技术, 2023, 45(9): 2941-2948.
[3]	金志刚, 段晨旭, 羊秋玲, 苏毅珊. 基于水下云边协同架构的珊瑚礁监测新机制[J]. 系统工程与电子技术, 2022, 44(12): 3829-3836.
[4]	金志刚, 冀智华, 苏毅珊. 基于深度可调节节点的水声网络部署优化算法[J]. 系统工程与电子技术, 2019, 41(1): 203-207.
[5]	赵旦峰，梁明珅，段晋珏. 水声网络中喷泉码的应用研究现状与发展前景[J]. 系统工程与电子技术, 2014, 36(9): 1838-1843.

云边协同语义架构下的海洋监测新机制

New mechanism for ocean monitoring based on cloud-edge collaborative semantic architecture

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