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| Pointing Acuracy: | ±0.005° | Scanning Method: | PPI、RHI、DBS And Program Scan |
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| Vertical Range: | -10~190° | Size: | 756mm*735mm*1000mm |
| Accumulation Time: | 0.2~10s Optional | Sight wind Speed Range: | -75~+75m/s |
| VerticalMeasuring Distance: | 4km | Sight Wind Speed Accuracy: | 0.1m/s |
| Evidenziare: | Doppler wind lidar humidity sensor,onshore wind profiling lidar,wind resource evaluation lidar |
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Molas 3D is an advanced three-dimensional scanning Doppler wind measurement lidar. This device operates on the principle of pulsed laser coherent Doppler frequency shift, enabling precise detection and analysis of wind parameters.
The system supports multiple scanning modes, including P-Pl, RHl, DBS, and program scanning. Such versatility allows it to be adapted to various specific wind measurement requirements.
Molas 3D is suitable for a wide range of customized applications. These include offshore wind resource assessment, research in complex terrain, detection of wind turbine wakes, and wind shear warning along airport glide paths.
Additionally, it is used for urban meteorological observations and the detection of high-altitude turbulence, making it a valuable tool for diverse meteorological and environmental monitoring scenarios.
Our system offers detailed 3D wind field measurement with refinement capabilities across up to 300 customizable distance layers. This allows for comprehensive data collection tailored to specific requirements.
It provides an extensive sight detection range of up to 10 kilometers, particularly effective within an altitude of 600 meters. This broad coverage ensures reliable monitoring over vast areas.
The device boasts exceptional accuracy, featuring a pointing precision of 0.005°. Additionally, the visual direction wind speed is measured with an accuracy of 0.1 meters per second, enabling precise environmental analysis.
Multiple scanning options are integrated, including PPl, RHl, DBS, and programmable arbitrary scanning methods. This versatility allows users to select the best scanning approach for their specific application.
Designed to be small and lightweight, the system can be easily transported and quickly deployed in various locations. Its flexibility supports rapid transitions and straightforward construction.
Built to withstand harsh outdoor conditions, the device features survivability in LPz0 zones and includes lightning protection. It is reliable in extreme environments, ensuring continuous operation.
Equipped with GPS location reporting and geofencing functions, the system ensures safety and operational control. Data encryption is implemented to prevent any risk of information leakage.
Users can choose from four distance resolution settings and five accumulation times, allowing for tailored configurations that meet diverse measurement needs.
| Maximum Acquisition Distance | 15 km |
| Data Storage Time | 5 to 18 months |
| Pointing Accuracy | ±0.005° |
| Distance Resolution | 15 m / 30 m / 75 m / 120 m |
| Scanning Method | PPI, RHI, DBS and Program Scan |
| Accumulation Time | 0.2 ~ 10 s Optional |
| Vertical Range | -10° ~ 190° |
| Sight Wind Speed Range | -75 ~ +75 m/s |
| Data Output | Profibus DP / Modbus TCP / CAN Optional |
| Sight Detection Distance | 10 km |
Wind resource assessment involves measuring wind field information over a large area, which helps in reducing the risks associated with site selection. This comprehensive evaluation is essential for identifying optimal locations for wind energy projects.
Long-distance power curve measurements and wake eddy current analysis play a critical role in optimizing wind energy utilization. By examining these factors, it is possible to improve the efficiency of individual wind energy units and maximize overall output.
Early detection and warning systems are crucial for identifying dangerous meteorological phenomena such as wind shear and microbursts. These systems enhance safety by providing timely alerts and mitigating potential hazards.
Measuring wake vortices is important for optimizing flight separation at airports. By understanding the behavior of these vortices, air traffic can be managed more effectively to ensure safety and efficiency in airport operations.
Providing detailed wind field information helps in understanding the conditions of the wind within the boundary layer. This data is vital for various applications, including meteorological studies and environmental monitoring.
Accurate and high spatiotemporal wind profile information within a few kilometers of the near surface fills the observational gap at low altitudes. This enhanced data quality supports better weather forecasting and environmental assessment.
Real-time three-dimensional information on plume dispersion is used to track emission sources effectively. This capability aids in environmental protection by identifying and monitoring pollutants.
Additionally, optimizing dust emission control is essential for the mining industry. Improved monitoring and management strategies help reduce environmental impact and promote sustainable mining practices.
Persona di contatto: Miss. ivyyao
Telefono: +86 13072523225
Fax: 86-025-86800073