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Product Details:
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| Wind Direction Accuracy: | 1° | Weight: | ≤50kg |
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| Distance: | Ordinary Type 30~350m | Size: | 554*430*581mm³ (with Handle) |
| Wind Speed Accuracy: | 0.1m/s | Sampling Rate: | 1Hz |
| Measurement Layer: | 12 Or 24 | Powered By: | 24V±5%DC, 100~230V AC |
The Molas B300 functions based on the Doppler frequency shift principle, utilizing DBS-scanning vector synthesis technology. This allows it to accurately measure both wind speed and wind direction at various altitudes, specifically between 30 meters and 350 meters above the lidar device.
The Molas B300 series is composed of four main components: a fiber laser lidar transmitter, a laser transceiver system, a high-speed data acquisition unit, and sophisticated data processing software. Each of these modules is carefully designed and optimized to work together seamlessly, providing excellent coordination across the entire system.
In addition to seamless integration, the Molas B300 series ensures strong data security throughout its operation. Its overall performance meets or exceeds international advanced standards, making it a reliable solution for wind measurement applications.
This technology offers a convenient and rapid measurement process, setting a new standard in the industry.
It delivers precise measurements with an accuracy of up to 0.1 meters per second and an angular accuracy of 1°.
Maintenance is straightforward and quick, eliminating any risks related to safety during production.
Ensures protection against economic and policy risks such as data leakage, maintaining secure information handling.
Supports measurement ranges from 20 to 350 meters, with 12 or 24 customizable levels to meet diverse needs.
Requires no land acquisition or infrastructure setup, significantly reducing effort and associated concerns.
Its compact and lightweight design allows easy adaptation to various terrain environments.
Designed to operate reliably even in harsh outdoor conditions without performance degradation.
Easy to operate and quickly deployable, helping save valuable time and reduce costs.
Utilizes wireless connections that enable flexible configuration, seamless delivery, and efficient data transmission.
| Power | ≤60W |
| Weight | ≤50kg |
| Temperature Range | -40℃ ~ +60℃ |
| Wind Speed Accuracy | 0.1m/s |
| Size | 554*430*581mm³ (with Handle) |
| Humidity Range | 0% To 100% |
| Distance | Ordinary Type 30~350m |
| Wind Direction Accuracy | 1° |
| Powered By | 24V±5%DC, 100~230V AC |
| Measurement Layer | 12 Or 24 |
Evaluating the availability and consistency of wind in a given area is crucial for successful wind energy projects. Wind resource assessment involves measuring wind speed, direction, and patterns over time to determine the potential energy output.
Advanced systems are used to forecast wind power generation accurately. These prediction tools utilize meteorological data and machine learning algorithms to estimate the amount of electricity that wind farms can produce in the short and long term.
Monitoring weather conditions plays an important role in optimizing wind energy operations. Weather detection involves gathering real-time information about atmospheric parameters such as temperature, humidity, and air pressure to support decision-making.
Selecting the exact location for wind turbines at the micro level ensures maximum efficiency. The process includes analyzing terrain, local wind characteristics, and environmental impact assessments to choose the optimal sites within a broader project area.
After installation, ongoing evaluation of wind farm operations is necessary to measure efficiency and identify areas for improvement. Performance assessments consider power output, turbine health, and environmental factors to enhance overall productivity.
Contact Person: Miss. ivyyao
Tel: +86 13072523225
Fax: 86-025-86800073