海陆智能协同运维体系研究与系统实现

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中图分类号：TP311；TN915.07 文献标识码：A文章编号：2096-4706（2025）19-0111-06

Abstract：To address the industry challenges of low colaborative eficiency in marine-land network operation and maintenanceandhighcostsasociatedwithmanualoperationandmaintenance，thisstudyconstructsamarine-landintellgent operation and maintenance system grounded in microservice architecture. By establishing an inteligent operation and maintenance management platform， it integrates a Deep Learning-driven fault prediction model，a dynamic perception and Knowledge Graph-assisted decision-making module.These integrations enable functionalities such asself-diagnosis of link anomalies，closed-loop managementofwork orders throughout theirlifecycle，andasset status tracking.The systemovercomes the knowledge accumulationlimitations inherentin traditionaloperationand maintenance models，establishinga proactive fault preventionmechanism thatsignificantlyenhances thecollborativeoperationand maintenance capabilitiesof networks within complexmarineenvironments.Theresearchoutcomes contribute toareplicable technical paradigmfor intellgent operationand maintenance inmarine energy，oferingastandardizedsolution framework fordigital transformation within theindustry.

Keywords：marine-land transmisionnetwork;intelligent operationand maintenance；fault prediction;collaborative management

0 引言

随着我国海洋油气资源开发的持续深入，海上油气平台与陆地技术中心之间的信息传输需求呈现出显著增长的趋势。（剩余7464字）