PS-NB-D
NB-IoT Differential Pressure Sensor
The Dragino PS-NB/NS series sensors are NB-IoT Pressure Sensor for Internet of Things solution. PS-NB/NS can measure Air, Water pressure and liquid level and upload the sensor data send to IoT platform via NB-IoT network. The PS-NB/NS series sensors include Thread Installation Type, Immersion Type and Food Safety Thread Type, it supports different pressure range which can be used for different measurement requirement. PS-NB/NS supports different uplink methods including MQTT, MQTTs, UDP, TCP or CoAP for different application requirement, and support uplinks to various IoT Servers.
Features
- NB-IoT Bands: B1/B2/B3/B4/B5/B8/B12/B13/B17/B18/B19/B20/B25/B28/B66/B70/B85 @H-FDD
- Ultra-low power consumption
- Measure air / gas or water pressure
- Different pressure range available
- Thread Installation Type , Immersion Type or Food Safety Thread Type
- Multiply Sampling and one uplink
- Support Bluetooth v5.1 remote configure and update firmware
- Uplink on periodically
Thermal Anemometer
Range: 0~5/10/30m/s
1000mAh Rechargeable Battery
External DC power adapter
wireless OTA update firmware
Application guide
Choose the airflow range by deployment scenario
0–5 m/s range
Cold Storage & Display Cases
For supermarket chillers, refrigerated display cases, cold storage deadzone detection, VAV terminals, and clean rooms.
0–10 m/s range
HVAC Ducts & AHU Verification
For HVAC supply or extract ducts, filter pressure-drop monitoring, and air handling unit performance checks.
0–30 m/s range
Industrial Ventilation & Fan Outlets
For main duct airflow, fan outlets, compressed air systems, and industrial ventilation monitoring.
How it works
Remote airflow monitoring via LoRaWAN
Deploy AirFlow-LN at critical airflow points, transmit measurements through a LoRaWAN gateway, and use platform data to detect weak airflow, filter problems, or abnormal ventilation conditions earlier.
- AirFlow-LN measures airflow in ducts, refrigeration, or ventilation points.
- LoRaWAN gateway receives data from distributed sensors across the site.
- Cloud platform visualizes trends and helps trigger maintenance decisions.
Product inquiry
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