无负荷监测情况下系泊线故障检测

M. Naciri, M. Viola, Z. Wang, R. Yam
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引用次数: 0

摘要

对于FPSO运营商、系泊系统设计师和公认船级社(RCS)来说,系泊完整性管理(MIM)是一个关键的操作方面。MIM程序应该包括检测系泊线故障的能力。当直接或间接测量线张力可以连续可靠地随时间推移,这一要求可以很容易地满足。目前的行业经验表明,为海上环境开发强大的、经济高效的实时锚索载荷监测系统一直是一项挑战。为了解决这一问题,该公司利用人工智能(AI)技术,根据现场现成的数据,对巴西近海的一个分散系泊装置进行完整或损伤诊断。根据参考文献[1]和[2],船级社对开发的智能代理(IA)进行了审查。在此审查之后,发布了一份成熟度声明[3],对新技术进行了认证。
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Mooring Line Failure Detection in the Absence of Load Monitoring
Mooring Integrity Management (MIM) is a key operational aspect for FPSO operators, mooring system designers and Recognized Classification Societies (RCS). MIM programs should include the capability to detect a mooring line failure. When direct or indirect measurement of line tension is available continuously and reliably over time, this requirement can be readily fulfilled. Current industry-wide experience shows it has been challenging to develop robust cost-effective real-time anchor line load monitoring systems for the offshore environment. To remedy this situation, Artificial Intelligence (AI) techniques are used to extract an intact or damage diagnosis for a spread moored unit offshore Brazil based on data readily available in situ. The Intelligent Agent (IA) developed has been reviewed by the Classification Society against Ref. [1] and [2]. Following this review a statement of maturity has been issued Ref. [3] qualifying the new technology.
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