What if skyscrapers could sense impending danger and self-diagnose damage within milliseconds after an earthquake? As seismic events increase globally - Japan recorded 2,207 tremors above magnitude 3 in 2023 alone - traditional post-disaster inspections are becoming dangerously obsolete. This urgency brings real-time structural health monitoring (SHM) to the frontline of urban resilience strategies.
What if industrial equipment could self-diagnose failures before they occur? With global operational expenditures (OPEX) in manufacturing reaching $1.2 trillion annually (McKinsey 2023), AI-driven predictive maintenance emerges as the ultimate disruptor. But how exactly does artificial intelligence transform reactive repair cycles into proactive efficiency engines?
Can you imagine a power grid that self-diagnoses faults and reroutes energy within milliseconds? As global electricity demand surges 15% annually, traditional grids increasingly resemble overloaded highways during rush hour. Why do 83% of power outages still require manual intervention in 2024?
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