CS01-LB
LoRaWAN 4 Channels Current Sensor Converter
The Dragino CS01-LB is a LoRaWAN 4-channel current sensor converter designed to transmit readings from current sensors to an IoT platform via a LoRaWAN network. This device is ideal for monitoring machine operating conditions and analyzing power consumption trends. The CS01-LB can support up to four detachable current sensors, which can be swapped for sensors with different measurement scales as needed. It features BLE configuration and wireless OTA updates, simplifying setup and maintenance for users. Powered by an 8500mAh Li-SOCI2 battery, the CS01-LB is engineered for long-term usage, lasting several years under typical operating conditions.
Features
- LoRaWAN 1.0.3 Class A
- Supported Bands: CN470, EU433, KR920, US915, EU868, AS923, AU915, IN865
- Ultra-low power consumption
- Supports up to 4 current sensors
- Compatible with various current sensor ratios: 50A, 100A, etc.
- Monitors machine operating status
- Analyzes power consumption trends
- Provides current alarms
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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