dailyai.report

The paper introduces a four‑layer framework that merges IoT sensors with Physics‑Informed Neural Networks to monitor cultural assets. By combining 3D asset models, real‑time data, and physics knowledge, the system simulates degradation and predicts maintenance needs. Practitioners can deploy the framework on existing museum infrastructure, gaining actionable insights without costly retrofits.