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Doppler Wind Lidar Molas B300(offshore)

Nanjing Movelaser Co., Ltd.

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Doppler Wind Lidar Molas B300(offshore)

Country/Region china
City & Province nanjing
Categories Power Supplies
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Product Details

Doppler Wind Lidar Molas B300(offshore) IP67 Measuring distance 30~300m

 

1,Product introduction

 

Molas B300(offshore) is a wind lidar specially designed for offshore wind energy measurement launched by Nanjing Movelaser Technology Co., Ltd. It inherits the main advantages of the ground-based wind lidar Molas B300, and further improves the protection of the whole machine. The grade and anti-salt spray corrosion performance make it meet the harsh use environment at sea. At the same time, it is equipped with high-precision inertial measurement unit and attitude compensation algorithm, so that it can be placed on buoys, ships and other non-fixed carriers for high-precision real-time wind speed measurement .

 

Molas B300M supports Ethernet/3G/4G/WiFi/satellite communication, and data can be obtained remotely through cloud platform and mailbox, ensuring that the radar can be used safely at sea.

 

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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