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Ethernet Atmospheric Pressure Wind Measuring Lidar 12 Measurement Layer

Categories Floating Lidar System
Brand Name: MOVELASER
Model Number: Molas B300M
Place of Origin: China
MOQ: 1 set
Price: Dollar 7W$+ (Price consultation customer service)
Payment Terms: L/C, D/A, D/P, T/T
Supply Ability: 200 set ,1 month
Delivery Time: 1-2 months
Packaging Details: Air Box
Powered by: 24V DC / 100~240V
Power: 70W
Weight: <75kg
Range of working temperature: -40℃ ~ 50℃(with over temperature protection)
Operating humidity range: 0% to 100%
Eye safety: Class 1M (EN60825-1)
Sampling rate: 1Hz
Wind direction measurement range: 0~360°
Sweep cone angle: 28°
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Ethernet Atmospheric Pressure Wind Measuring Lidar 12 Measurement Layer

Users can install according to their needs Wind lidar


1,Product introduction


The Molas B300M wind measuring lidar is equipped with a set of temperature, humidity and pressure sensors as standard. While measuring wind speed data, it records the surface temperature, humidity and atmospheric pressure of the location where the wind measuring lidar is located. Users can install it according to their needs.


2,Product parameters

General parameters
Powered by24V DC / 100~240V
Power70W
Size682mm x 520mm x 641mm
Weight<75kg
Range of working temperature-40℃ ~ 50℃(with over temperature protection)
Operating humidity range0% to 100%
Protection classIP67 (complete machine)
Eye safetyClass 1M (EN60825-1)

Measurement parameters
Measuring distance30~300m
Measurement layer12
Sampling rate1Hz
Wind speed measurement accuracy0.1m/s
Wind direction measurement accuracy
Wind speed measurement range0~75m/s
Wind direction measurement range0~360°
Sweep cone angle28°

Data parameter
Data outputHorizontal wind speed, vertical wind speed, wind direction
Timestamp, GPS, temperature, humidity and pressure, statistics
Data FormatASCII
CommunicationEthernet (100BASE-TX)
3G/4G
WiFi, satellite communication (optional)

3,Application scenarios


① Early detection of wind resources

② Offshore construction and operation and maintenance wind power monitoring

③ Prediction of wind power in offshore wind farms


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