CPL01
Outdoor LoRaWAN Open/Close Dry Contact Sensor
The Dragino CPL01 is a LoRaWAN Contact Sensor. It detects open/close status and uplink to IoT server via LoRaWAN network. user can see the dry contact status, open time, open counts in the IoT Server. CPL01 is powered by 8500mAh Li-SOCI2 battery, It is designed for long term use up to 10 years. (Actually Battery life depends on the use environment, update period.) The CPL01 will send periodically data every day as well as for each dry contact action. It also counts the contact open times and calculate last open duration. User can also disable the uplink for each open/close event, instead, device can count each open event and uplink periodically.
Features
- Frequency Bands: CN470 、 EU433 、 KR920 、 US915 、 EU868 、 AS923 、 AU915 、 IN865 、 RU864
- LoRaWAN v1.0.3 Class A protocol.
- Open/Close detect
- Open/Close statistics
- IP protection level: IP66
- 8500mAh industrial battery(none-rechargeable)
- AT Commands to change parameters
- Uplink on periodically and open/close event
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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