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面向海洋气象预报的低时延智能物联网构建

李竟博 马礼 李阳 傅颖勋 马东超

电子学报2025,Vol.53Issue(2):301-313,13.
电子学报2025,Vol.53Issue(2):301-313,13.DOI:10.12263/DZXB.20240698

面向海洋气象预报的低时延智能物联网构建

Construction of Low-latency Artificial Intelligence of Things for Marine Meteorological Forecasting

李竟博 1马礼 2李阳 3傅颖勋 3马东超3

作者信息

  • 1. 北京工业大学计算机学院,北京 100124
  • 2. 北京工业大学计算机学院,北京 100124||北方工业大学信息学院,北京 100144
  • 3. 北方工业大学信息学院,北京 100144
  • 折叠

摘要

Abstract

Artificial intelligence technology is widely used in marine meteorological forecasting,and increasingly re-lies on the internet of things to obtain massive sensory data of multiple modes in the marine environment.Aiming at the problem that the amount of data obtained and the transmission speed are not enough to support the accurate forecast of the model,a low-latency artificial intelligence of things(AIoT)construction scheme for marine meteorological forecasting is proposed.Firstly,an AIoT marine meteorological forecast fusion architecture is designed.This architecture not only fully adapts to artificial intelligence technology and internet of things technology,but also realizes the efficient collection,pro-cessing and analysis of marine meteorological data,providing an effective and flexible underlying structure for marine mete-orological forecasting.Secondly,the collaborative networking method of heterogeneous ocean sensing devices is optimized.By optimizing the multi-layer coupling network topology,efficient interconnection of heterogeneous ocean sensing devices was achieved,ensuring the comprehensiveness and accuracy of data collection.Finally,a low-latency routing algorithm for ocean sensing networks is proposed.This algorithm reduces the transmission delay of information from sensing devices to data centers through intelligent path selection and data transmission optimization,ensuring the rapid update of forecast data.Experimental verification shows that the proposed scheme fully utilizes the advantages of the AIoT and solves the problems of difficult data acquisition and long processing delay in marine meteorological forecasting.The mean delay of the proposed scheme is reduced by 37%and the median delay is reduced by 38%,providing strong support for real-time and accurate ma-rine meteorological forecasting.

关键词

人工智能/物联网/海洋气象预报/组网优化/路由策略

Key words

artificial intelligence/internet of things/marine meteorological forecasting/network optimization/rout-ing strategies

分类

计算机与自动化

引用本文复制引用

李竟博,马礼,李阳,傅颖勋,马东超..面向海洋气象预报的低时延智能物联网构建[J].电子学报,2025,53(2):301-313,13.

基金项目

国家重点研发计划(No.2023YFC3107804) (No.2023YFC3107804)

国家自然科学基金(No.62272007,No.62001007) (No.62272007,No.62001007)

北京市自然科学基金(No.4234083,No.4212018) National Key Research and Development Program of China(No.2023YFC3107804) (No.4234083,No.4212018)

Natural Science Foundation of China(No.62272007,No.62001007) (No.62272007,No.62001007)

Beijing Natural Science Foundation(No.4234083,No.4212018) (No.4234083,No.4212018)

电子学报

OA北大核心

0372-2112

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