Raw distributed sensing data suffers from low signal-to-noise ratios and ambiguous feature extraction. Resolving this prevents false alarms and enables precise localization of critical structural or environmental failures.

Human-dependent monitoring of distributed infrastructure leads to missed failure points and delayed response times. Automating detection across fiber networks and flame sensors eliminates human oversight limitations.

Inability to simultaneously detect multiple physical stressors like leakage and deformation leads to catastrophic infrastructure collapse. Integrated multi-parameter sensing prevents localized faults from escalating into systemic failures.