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| Sampling Rate: | 1Hz | Wind Direction Accuracy: | 1° |
|---|---|---|---|
| Wind Speed Accuracy: | 0.1m/s | Measurement Layer: | 12 Or 24 |
| Humidity Range: | 0% To 100% | Weight: | ≤50kg |
| Powered By: | 24V±5%DC, 100~230V AC | Power: | ≤60W |
The Molas B300 functions based on the Doppler frequency shift principle, utilizing DBS-scanning vector synthesis technology to accurately measure wind speed and direction. It is capable of operating at various altitudes, specifically from 30 meters up to 350 meters above the lidar unit.
This advanced system is composed of four fundamental modules that work in harmony. These include a fiber laser lidar transmitter, a laser transceiver system, a high-speed data acquisition system, and sophisticated data processing software designed for high precision. Each component is meticulously optimized to integrate seamlessly with the others, promoting excellent overall system coordination.
Moreover, the Molas B300 series ensures robust data security throughout its operations. Its performance is on par with international cutting-edge standards, making it a reliable choice for precise wind measurement tasks in a variety of environments.
Non-contact Measurement: This technology offers a convenient and rapid measurement process, setting a new standard within the industry.
High Accuracy: Achieving precision levels up to 0.1 meters per second and an angular accuracy of 1°, it ensures reliable and exact results.
Easy Maintenance: Designed for simple and quick upkeep, it minimizes downtime and eliminates risks associated with safety during production.
Data Security: Protecting against economic and policy threats, this system guarantees no risk of data leakage.
Large Range: Capable of covering distances from 20 to 350 meters, with options for 12 or 24 custom measurement levels to suit diverse needs.
No Infrastructure Construction: Eliminates the need for land acquisition and infrastructure setup, significantly reducing concerns and efforts.
Flexible Deployment: Its compact and lightweight design allows seamless adaptation across varying terrain and environmental conditions.
All-weather Capability: Built to withstand harsh outdoor environments, ensuring consistent performance regardless of weather conditions.
Time-saving and Efficient: Easy to operate and quickly deployable, it helps save valuable time and reduce operational costs.
Flexible Configuration: Supports wireless connectivity, enabling versatile configuration, seamless delivery, and efficient data transmission.
| Technical Parameter | Specification |
|---|---|
| Weight | ≤50kg |
| Wind Speed Accuracy | 0.1 m/s |
| Sampling Rate | 1 Hz |
| Measurement Layer | 12 or 24 |
| Powered By | 24V±5% DC, 100~230V AC |
| Power | ≤60 W |
| Wind Direction Accuracy | 1° |
| Distance (Ordinary Type) | 30~350 m |
| Humidity Range | 0% to 100% |
| Temperature Range | -40℃ ~ +60℃ |
Evaluating the potential of wind energy is a crucial step in any wind power project. Wind resource assessment involves analyzing wind speed, direction, and patterns over time to determine the feasibility and efficiency of installing wind turbines at a given location.
Advanced forecasting tools are used to predict the amount of power that can be generated from wind turbines. These systems utilize historical data, weather models, and real-time observations to provide accurate predictions that help optimize energy production and grid management.
Continuous monitoring of weather conditions is essential for the operation and maintenance of wind farms. Weather detection technologies track parameters such as temperature, humidity, and atmospheric pressure, ensuring that wind turbines operate safely and efficiently under varying weather scenarios.
Choosing the right micro site is vital for maximizing wind energy capture. This process involves detailed analysis of topography, local wind behavior, and environmental factors to select and review the most suitable locations for turbine installation within a larger wind farm.
Evaluating the performance of an entire wind farm helps in identifying operational issues and optimizing output. Performance assessments consider energy production data, turbine efficiency, and maintenance records to ensure the wind farm operates at peak effectiveness.
Contact Person: Miss. ivyyao
Tel: +86 13072523225
Fax: 86-025-86800073