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| Scanning Method: | PPI、RHI、DBS And Program Scan | Distance Layers: | Up To 300 |
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| Sight Wind Speed Accuracy: | 0.1m/s | Maximum Acquisition Distance: | 15km |
| VerticalMeasuring Distance: | 4km | Weight: | ≤100kg |
| Storage Humidity: | 0%~100%RHnocondensation | Data Output: | Profibus DP/Modbus TCP/CAN Optional |
| Highlight: | 15km range Molas Lidar,3D mapping equipment for disaster management,Doppler Wind Lidar with long-range |
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Molas 3D is an advanced Doppler wind measurement lidar that utilizes three-dimensional scanning technology. It operates on the principle of pulsed laser coherent Doppler frequency shift, enabling precise detection of wind speed and direction.
This system supports multiple scanning modes, including P-Pl, RHl, DBS, and programmable scanning, making it highly versatile for various applications. Its flexibility allows it to be tailored to specific measurement needs in different environments.
Molas 3D is suitable for a wide range of customized wind speed measurement scenarios. These include offshore wind resource assessment, research in complex terrain, detection of wind turbine wakes, wind shear warning along airport glide paths, urban meteorological observation, and monitoring of high-altitude turbulence.
This device offers rich measurement information through its refined 3D wind field analysis, supporting up to 300 customizable distance layers. This allows for detailed and accurate wind data collection across various altitudes.
It features a large detection range with the ability to detect sights up to 10 kilometers away, specifically effective below an altitude of 600 meters. This broad range enhances situational awareness in multiple environments.
The device provides high precision measurements, boasting a pointing accuracy of 0.005°, and a visual directional wind speed accuracy of 0.1 meters per second. This ensures reliable and exact data for critical applications.
It supports a variety of scanning modes including PPI (Plan Position Indicator), RHI (Range Height Indicator), DBS (Doppler Beam Swinging), and programmable arbitrary scan methods, offering flexibility to adapt to different measurement needs.
Designed to be small and lightweight, the device is easy to transport and set up in different locations, making deployment straightforward and efficient in the field.
Built to withstand harsh outdoor conditions, it is resilient in environments classified as LPz0 and includes lightning protection features, ensuring reliable operation regardless of weather challenges.
Equipped with GPS location reporting and geo-fencing capabilities, it enhances operational safety. Additionally, data encryption safeguards prevent any risk of information leakage.
Users can choose from 4 different distance resolutions and 5 accumulation times, allowing for tailored configurations to meet specific measurement requirements.
| Technical Parameter | Specification |
|---|---|
| Scanning Method | PPI, RHI, DBS and Program Scan |
| Sight Wind Speed Accuracy | 0.1 m/s |
| Vertical Measuring Distance | 4 km |
| Distance Layers | Up to 300 |
| Data Storage Time | 5 to 18 months |
| Sight Detection Distance | 10 km |
| Sight Wind Speed Range | -75 to +75 m/s |
| Weight | ≤ 100 kg |
| Distance Resolution | 15 m / 30 m / 75 m / 120 m |
| Data Output | Profibus DP / Modbus TCP / CAN Optional |
Wind resource assessment involves measuring wind field information over a large area to reduce the risks associated with site selection. By collecting comprehensive wind data, it becomes possible to identify optimal locations for wind energy projects and ensure efficient resource utilization.
Long-distance power curve measurements and wake eddy current analysis help optimize wind energy use and improve unit efficiency. These techniques enable better understanding of wind turbine performance and the impact of turbulent air flows, ultimately leading to enhanced energy production.
The detection and early warning of dangerous meteorological phenomena, such as wind shear and microbursts, is crucial for aviation safety. Measuring wake vortices allows for the optimization of flight separation procedures at airports, ensuring smoother and safer air traffic management.
Providing detailed wind field information aids in understanding the state of wind within the atmospheric boundary layer. Accurate, high spatiotemporal wind profile data within a few kilometers of the near surface fills the gap in low-altitude observations, supporting various meteorological and environmental studies.
Real-time three-dimensional information on plume dispersion is essential for tracking emission sources effectively. This data supports the optimization of dust emission control strategies, particularly in the mining industry, helping to minimize environmental impact and improve regulatory compliance.
Contact Person: Miss. ivyyao
Tel: +86 13072523225
Fax: 86-025-86800073