Product Description:
Molas 3D is an advanced three-dimensional scanning Doppler wind measurement lidar. It operates based on the principle of pulsed laser coherent Doppler frequency shift, enabling highly accurate wind speed detection.
This lidar system supports multiple scanning modes, including P-Pl, RHl, DBS, and program scanning. Such versatility allows it to adapt to various measurement requirements and environments.
Molas 3D is highly suitable for a wide range of customized wind speed measurement applications. These include offshore wind resource assessment, research in complex terrains, and detection of wind turbine wakes.
Additionally, it is effective in airport glide path wind shear warning, urban meteorological observations, and the detection of high-altitude turbulence. Its multifunctional capabilities make it an essential tool in modern meteorological and environmental monitoring.
Features:
The system offers rich measurement information with the capability to perform refined 3D wind field measurements. It supports up to 300 customizable distance layers, allowing for detailed and precise monitoring.
Featuring a large detection range, it can monitor visibility up to 10 kilometers within an altitude of 600 meters. This extensive reach ensures comprehensive coverage for various applications.
High precision is a key advantage, boasting a pointing accuracy of 0.005° and a visual directional wind speed accuracy of 0.1 m/s. Such precision guarantees reliable and accurate data collection.
The device supports various scanning methods including PPl, RHl, DBS, and programmable arbitrary scan techniques, providing flexibility to cater to different measurement requirements.
Designed for flexible deployment, the equipment is small and lightweight, making it easy to transport and install in diverse environments or setups.
It is built for all-weather operation, capable of withstanding harsh outdoor conditions. The device has survivability certifications in LPz0 and lightning protection zones, ensuring durability.
Safety is prioritized with integrated GPS location reporting and geo-fencing functions. Additionally, data encryption is implemented to prevent any risk of information leakage.
Users can select from multiple configuration options, including four different distance resolutions and five accumulation times, allowing for customized performance based on specific needs.
Technical Parameters:
|
Storage Humidity
|
0%～100% RH no condensation
|
|
Weight
|
≤100kg
|
|
Vertical Measuring Distance
|
4km
|
|
Maximum Acquisition Distance
|
15km
|
|
Size
|
756mm × 735mm × 1000mm
|
|
Sight Detection Distance
|
10km
|
|
Data Output
|
Profibus DP / Modbus TCP / CAN Optional
|
|
Accumulation Time
|
0.2 ~ 10s Optional
|
|
Sight Wind Speed Range
|
-75 ~ +75 m/s
|
|
Scanning Method
|
PPI, RHI, DBS and Program Scan
|
Applications:
Wind resource assessment involves measuring windfield information over large areas, which helps reduce risks associated with site selection for wind energy projects. This process ensures that optimal locations are chosen to maximize energy production.
Long-distance power curve measurement and the study of wake eddy currents play a crucial role in optimizing wind energy utilization. By analyzing these factors, it is possible to enhance the efficiency of individual wind units, leading to better overall performance.
Early detection and warning systems are essential for identifying dangerous meteorological phenomena such as windshear and microbursts. These systems enhance safety by providing timely alerts to mitigate risks associated with sudden weather changes.
Measuring wake vortices is vital for optimizing flight separation at airports. Accurate data on these vortices enables improved traffic management, thereby increasing safety and efficiency in airport operations.
Providing detailed wind field information is fundamental to understanding the state of wind within the boundary layer. This knowledge supports various applications, including weather forecasting and environmental monitoring.
Access to accurate and high spatiotemporal wind profile data within a few kilometers of the near surface addresses the shortage of low-altitude observations. Such information fills critical gaps and enhances the precision of wind assessments.
Real-time three-dimensional information on plume dispersion allows for effective tracking of emission sources. This capability is essential for environmental monitoring and managing pollution.
Additionally, optimizing dust emission control is particularly important for the mining industry. Implementing advanced monitoring techniques helps minimize environmental impact and ensures compliance with regulations.
Ihre Nachricht muss zwischen 20 und 3.000 Zeichen enthalten!
