A modular digital twin architecture for offshore safety and decision-making: A North Sea platform case study
提出一种模块化数字孪生架构，统一数据采集、边缘分析和可视化，在北海资产上验证了延迟、数据完整性和可用性目标，帮助优化海上安全与决策流程。
Digital twin (DT) technology can improve safety and efficiency in offshore operations, yet adoption remains constrained by inconsistent data, fragmented systems and usability gaps. We present a modular DT architecture that unifies data acquisition, edge analytics, twin processing and visualisation for an operational North Sea asset (“Asset X”). The design standardises identities, units and timestamps, enforces checks at ingestion and adopts an ISO 14224 asset model and tag registry, implemented via Asset Administration Shell (AAS), to enable reuse across sites. Edge components provide low-latency anomaly detection and resilient store-and-forward for intermittent satellite links, while the twin layer combines predictive models with scenario artefacts to yield traceable, explainable recommendations. Role-specific views connect alerts to work orders with full audit lineage. We report the architecture, key interfaces and service-level objectives (SLOs) that bind performance to deployment gates, and we show that the deployed system meets its latency, data completeness and availability targets on a live asset. We illustrate how an ISO 14224-aligned, AAS-governed, SLO-first design can support a Value-of-Information (VoI)-gated execution loop from the DT to the Computerised Maintenance Management System (CMMS), helping to streamline handover within existing permit-to-work and safety workflows and to implement an edge-first deployment suited to offshore constraints.