Product Description:
Molas 3D is an advanced three-dimensional scanning Doppler wind measurement lidar. It operates on the principle of pulsed laser coherent Doppler frequency shift technology, enabling precise wind speed detection.
This lidar system supports multiple scanning modes, including P-Plan Position Indicator (P-Pl), Range Height Indicator (RHI), Doppler Beam Swinging (DBS), and program scanning. Its versatility allows it to adapt to various measurement needs.
Molas 3D is ideal for customized wind speed measurement applications. It is widely used in offshore wind resource assessment, complex terrain analysis, and wind turbine wake monitoring. Additionally, it plays a crucial role in airport glide path wind shear warnings, urban meteorological observations, and high-altitude turbulence detection.
Features:
Rich Measurement Information
Our system provides detailed 3D wind field measurements, allowing for precise analysis through up to 300 customizable distance layers. This enables comprehensive data collection tailored to specific requirements.
Extensive Range
It supports a detection sight distance of up to 10 kilometers when operating below an altitude of 600 meters, ensuring broad coverage for accurate environmental monitoring.
High Precision
The device boasts exceptional pointing accuracy of 0.005°, coupled with visual direction wind speed accuracy of 0.1 meters per second, guaranteeing reliable and precise measurements.
Versatile Scanning Methods
Multiple scanning modes are supported, including PPI, RHI, DBS, as well as programmable arbitrary scan methods. This diversity caters to a wide range of operational scenarios.
Flexible Deployment
Designed to be compact and lightweight, the system can be easily transported and quickly deployed in various locations, allowing for flexible application in different environments.
All-Weather Capability
Built to withstand harsh outdoor conditions, the device maintains survivability within the LPz0 lightning protection zone, ensuring reliable operation regardless of weather challenges.
Safe and Secure
Equipped with GPS location reporting and geo-fencing capabilities, the system also incorporates data encryption measures to prevent any risk of information leakage.
Multiple Configuration Options
Users can select from four different distance resolutions and five accumulation times, allowing for customizable settings that best fit their measurement needs.
Technical Parameters:
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Accumulation Time
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0.2~10s Optional
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Sight Wind Speed Accuracy
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0.1 m/s
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Size
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756mm × 735mm × 1000mm
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Data Output
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Profibus DP / Modbus TCP / CAN Optional
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Sight Detection Distance
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10 km
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Distance Resolution
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15m / 30m / 75m / 120m
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Sight Wind Speed Range
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-75 ~ +75 m/s
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Scanning Method
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PPI, RHI, DBS and Program Scan
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Data Storage Time
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5 to 18 months
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Vertical Range
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-10° ~ 190°
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Applications:
Wind resource assessment involves measuring wind field information over a large area, which helps in reducing the risks associated with site selection for wind energy projects. This comprehensive evaluation ensures better decision-making when choosing optimal locations.
Long-distance power curve measurements and wake eddy current measurements play a critical role in optimizing wind energy utilization. By analyzing these factors, it is possible to enhance unit efficiency and maximize the output of wind turbines.
Detection and early warning of dangerous meteorological phenomena, such as wind shear and microbursts, are essential for safety. Monitoring these events allows for timely alerts and preventive actions to mitigate hazards.
Additionally, measuring wake vortices is vital for optimizing flight separation at airports, contributing to safer and more efficient air traffic management.
Providing detailed wind field information supports a better understanding of the wind conditions within the atmospheric boundary layer. This data is crucial for various meteorological and environmental applications.
Accurate and high spatiotemporal wind profile information within a few kilometers of the near surface fills the gap in low-altitude observations, enhancing the overall knowledge of wind behavior close to the ground.
Real-time three-dimensional information on plume dispersion enables effective tracking of emission sources. This capability is important for environmental monitoring and pollution control.
Furthermore, optimizing dust emission control in the mining industry can be achieved by leveraging detailed wind and plume data, thereby reducing environmental impact and improving regulatory compliance.
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