Hottinger Brüel & Kjær has launched a smart monitoring platform that turns high-fidelity sensor data into real-time structural health insights for critical infrastructure and industrial operations.
Called Monitor360, the platform from Hottinger Brüel & Kjær (HBK) uses advanced sensors, edge computing and analytics supported by artificial intelligence (AI), moving beyond data visualization to continuous condition monitoring and predictive maintenance. It provides real-time dashboards with historical context, comparing live signals against long-term operational baselines for early anomaly detection.
A key differentiator is its physics-informed AI approach, which grounds insights in engineering principles rather than relying solely on black-box learning. The platform fuses multi-sensor data – strain, vibration, temperature and displacement – with AI-driven analytics to learn normal machine behavior and flag subtle anomalies.
Guga Gugaratshan, director of software and digital growth at HBK, said, “The real value in Structural Health Monitoring doesn’t just come from visualising huge volumes of data. It comes from traceable, physics-informed workflows that convert imperfect field data into reliable, reviewable, and actionable engineering evidence, ultimately empowering asset managers to make data-driven decisions that extend asset life and reduce operational risk.”
The platform is designed to integrate with existing operational technology (OT) and asset management systems, avoiding vendor lock-in and supporting digital transformation at the user’s pace.
