Predictive Equipment
Maintenance
Wireless LoRaWAN sensors collect equipment vibration, temperature and runtime data. Cloud analysis forecasts fault upfront to reduce unplanned downtime and maintenance expenses.

Machine condition surveillance, predictive maintenance,
maximized factory output

Powered by IoT, big data, cloud and multi-type sensors, Dragino’s smart factory solution delivers full-range digital workshop monitoring. It captures real-time data on equipment status, ambient climate and power usage, leveraging cloud analytics to optimize production schedules and manufacturing parameters.
Customized for on-site production workflows, the system supports predictive maintenance, smart quality inspection, energy tracking and remote device control.
Field data is transmitted to the cloud via Dragino LoRaWAN/NB-IoT gateways for centralized processing. The system auto-alerts and triggers interlock controls when readings go out of limits, allowing managers to remotely manage devices for lean, refined factory operation.
Wireless LoRaWAN sensors collect equipment vibration, temperature and runtime data. Cloud analysis forecasts fault upfront to reduce unplanned downtime and maintenance expenses.
IoT sensors monitor workshop temp, humidity and hazardous gas 24/7. Auto-alerts activate for abnormal readings to stabilize production environment and product quality.
It meters water, power and gas consumption per device/workshop. Visual data pinpoints energy waste to implement refined management and cut operating costs.
Compatible with LoRaWAN, NB-IoT and Ethernet. Plug-and-play sensors simplify installation for new lines and old equipment upgrade with minimal wiring.
Cloud platform enables remote switch of low-voltage devices and power terminals. Offline adjustment lowers routine field inspection manpower costs.
Cloud dashboard centralizes equipment, environment and energy data. Analytical reports assist schedule optimization and refined factory management.