1182 The scope includes a structured workflow built in collaboration among TSF owner, EoR, and DFOS Solution provider to design and optimize a DFOS platform based on the site-specific conditions, based on TSF types (downstream, upstream, and centerline) and stages from operational to closure‑transition and legacy states. The approach is non‑prescriptive regarding specific equipment and focuses instead on sensing physics, data workflows, governance integration, and field‑deployable patterns that can be implemented, scaled, and audited, Figure 1. Figure 1 – TSF dashboard displaying the fiber optic cable layout on site (top) and a real time strain waterfall plot (bottom) 3. METHODOLOGY AND APPROACH 3.1 TSF “Nervous System” Architecture: sensing physics, layout, and decision pathways The proposed architecture treats the TSF as a cyber‑physical system in which fibre optic cables provide continuous distributed measurements (the “nerves”), interrogators convert backscatter into physical observables (the “receptors”), and edge-processing analytics and governance workflows translate observables into decisions and disclosure (the “brain”), Figure 2. Figure 2 – Conceptual TSF “nervous system” architecture using DFOS integrated with governance workflows (AI generated).
RkJQdWJsaXNoZXIy MTM0Mzk2