Mapped to a shared offline runtime family and usable with a recording or compatible ESP32 CSI stream.
Intended capability
Pilot this intended outcome through the shared Machine vibration family, then validate it against site-specific ground truth: Predictive maintenance for walk-in coolers, ice machines and compressors: detects bearing wear, icing-induced load change, and door-left-ajar events from vibration micro-Doppler, weeks before failure spoils stock.
This describes the intended outcome. Readiness is shared-family mapped, evidence is class B, and a catalog mapping or recording is not proof of this outcome at a real site.
Solution blueprint
See the environment before installing it.
This exact kit is one of 191 first-class designs. It includes geometry, objects, nodes, wording, scenarios, installation, limitations, and catalog-bound readiness.
No rendered revision is available yet.
Bundled recording
A related Hospitality scene
This is one recorded vertical scenario. It is not separate validation of every capability in the catalog.
01 The physics
Compressor and fan vibrations phase-modulate reflected CSI at their mechanical frequencies (10-40Hz and harmonics); bearing degradation broadens and shifts these spectral lines, icing changes load (frequency droop), and machine-vs-human discrimination is already proven so machinery lines are cleanly separable from staff motion.
02 Shared processing path
Micro-Doppler narrowband line extraction (10-40Hz) per machine compartment -> compartment Kalman tracking line frequency/width -> CUSUM over weeks for degradation drift; door-ajar appears as a step in the cold-room's CIR geometry baseline.
This is a capability design path. Components may be shared with other catalog entries; it is not presented as a unique algorithm.
03 Validation plan
Machine-vs-human separation already class A; own long-run on a working restaurant walk-in with a seeded degrading fan and thermocouple/accelerometer ground truth over 60+ days.
04 Commercial hypothesis
'Your ice machine will fail before the holiday weekend' — condition monitoring with no sensors glued to equipment, for the multi-site restaurant facilities manager.