深水油氣平臺儀表自控系統(tǒng)智能化升級與優(yōu)化應(yīng)用研究
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[摘 要]文章介紹了海洋工程自控系統(tǒng)的挑戰(zhàn)與智能化需求，探究了高級傳感技術(shù)的集成與數(shù)據(jù)融合，分析了深度學習算法在自控系統(tǒng)中的應(yīng)用，闡述了智能化自控系統(tǒng)的現(xiàn)場應(yīng)用效果，以期為相關(guān)人員提供參考。
[關(guān)鍵詞]智能化監(jiān)測；自控系統(tǒng)；深水油氣；數(shù)據(jù)融合；深度學習
[中圖分類號]TP273 [文獻標志碼]A [文章編號]2095–6487（2024）12–0001–03
Research on Intelligent Upgrade and Optimization Application of Instrumentation Automation System for Deepwater Oil and Gas Platforms
ZENG Anjin
[Abstract]The article introduces the challenges and intelligent requirements of ocean engineering self-control systems， explores the integration and data fusion of advanced sensing technologies， analyzes the application of deep learning algorithms in self-control systems， and elaborates on the on-site application effects of intelligent self-control systems， in order to provide reference for relevant personnel.
[Keywords]intelligent monitoring； automatic control system； deepwater oil and gas； data fusion； deep learning
1 海洋工程自控系統(tǒng)的挑戰(zhàn)與智能化需求
1.1 極端環(huán)境下的操作挑戰(zhàn)
深水油氣平臺的自控系統(tǒng)須在極端的氣象與地質(zhì)條件下持續(xù)運行，而這些因素對設(shè)備的穩(wěn)定性與操作效率造成了嚴峻的挑戰(zhàn)。（剩余3552字）