Vibration monitoring
Bearings, pumps, compressors — thresholds and FFT spectra.
Chargement
Connexion à la plateforme…
Cut unplanned downtime with sensors, edge and analytics. Iotplace connects industrial sites and IIoT startups.
Machine sensors, alerts, maintenance before failure.
Predictive maintenance uses sensors (vibration, temperature, current, acoustic), edge computing and ML models to anticipate failures on rotating machinery, production lines and critical infrastructure — before costly breakdowns.
Potential ⭐⭐⭐⭐⭐. Industry 4.0, hourly downtime cost and field maintenance shortages accelerate adoption. Typical projects: pilot 10–50 machines then site scale.
Bearings, pumps, compressors — thresholds and FFT spectra.
Local inference, cloud aggregation, OEE dashboards.
Automatic work orders on alert.
Asset model + sensor history for simulation.
Fleet Management, RTLS, supply chain visibility, GPS, RFID.
⭐⭐⭐⭐⭐Energy Management, Smart Metering, ESG, MQTT, Modbus, BACnet.
⭐⭐⭐⭐Temperature compliance, pharma, food safety, real-time alerts.
⭐⭐⭐⭐Building Automation, HVAC, occupancy analytics, indoor air quality.
Condition Monitoring PoC on 10–50 machines: vibration sensors, edge AI, SCADA/OPC-UA. Publish scope on Iotplace.
Recommended: validate sensors, connectivity and models on a limited line before multi-site scale.
MQTT, OPC-UA, TimescaleDB, Influx, AWS IoT, Azure IoT, embedded TensorFlow Lite, Grafana/custom dashboards.