Product Description:
The Molas B300 utilizes the Doppler frequency shift principle, combined with DBS-scanning vector synthesis technology, to accurately measure wind speed and direction. It is capable of conducting these measurements at various altitudes, specifically from 30 meters up to 350 meters above the lidar unit.
The Molas B300 series is composed of four main modules that work in harmony to deliver precise results. These include a fiber laser lidar transmitter, a laser transceiver system, a high-speed data acquisition system, and sophisticated data processing software with high accuracy. Each component is meticulously optimized to ensure smooth integration within the system.
Thanks to this optimized design, the Molas B300 series ensures excellent coordination across all modules while maintaining strong data security measures. The overall performance of the series meets and even rivals international leading standards in the field.
Features:
Non-Contact Measurement
Our system offers a convenient and rapid non-contact measurement solution, setting the standard within the industry for efficiency and reliability.
High Accuracy
Experience precision with measurement accuracy reaching up to 0.1 meters per second and an angular accuracy of 1°.
Easy Maintenance
Designed for simple and quick maintenance procedures, the system eliminates safety risks during production, ensuring uninterrupted operation.
Data Security
Protect your sensitive information with our robust data security measures, avoiding economic and policy risks such as data leaks.
Large Range
The system supports a broad measurement range from 20 to 350 meters, with options for 12 or 24 customized levels to suit diverse requirements.
No Infrastructure Construction Needed
Eliminate concerns about land acquisition and infrastructure development, as our solution requires no such constructions, saving time and effort.
Flexible Deployment
Compact and lightweight, the device adapts seamlessly to various terrains, ensuring versatile deployment capabilities.
All-Weather Capability
Built to withstand harsh outdoor conditions, the system operates reliably regardless of weather challenges.
Time-Saving and Efficient
Easy to operate and quick to deploy, it helps you save valuable time and reduce operational costs effectively.
Flexible Configuration
Featuring wireless connectivity, the system enables flexible configuration setups and efficient data transmission.
Technical Parameters:
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Sampling Rate
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1Hz
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Power
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≤60W
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Size (with Handle)
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554*430*581mm³
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Measurement Layer
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12 Or 24
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Wind Direction Accuracy
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1°
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Humidity Range
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0% To 100%
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Temperature Range
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-40℃ ~ +60℃
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Distance (Ordinary Type)
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30~350m
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Wind Speed Accuracy
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0.1m/s
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Weight
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≤50kg
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This Wind Sensing Laser Machine is an advanced Weather Detecting Laser System and Gale Computing Laser System designed for precise wind measurement and environmental monitoring.
Applications:
Wind Resource Evaluation
Assessing the availability and quality of wind resources is a fundamental step in planning any wind energy project. This involves analyzing wind patterns, speeds, and consistency to determine the potential for power generation at a given location.
Wind Power Forecasting Systems
Advanced wind power prediction systems are utilized to provide accurate forecasts of wind energy output. These systems incorporate meteorological data and machine learning models to optimize energy production and grid integration.
Meteorological Monitoring
Continual weather detection and monitoring play a vital role in managing wind farms. By tracking atmospheric conditions such as temperature, humidity, and wind variability, operators can enhance the efficiency and safety of wind energy generation.
Micro-site Analysis and Evaluation
Selecting and reviewing micro-sites involves a detailed examination of smaller areas within a larger site to identify optimal positions for turbine installation. This careful scrutiny ensures maximum energy capture and minimizes environmental and logistical challenges.
Performance Assessment of Wind Farms
Evaluating the performance of wind farms is essential for maintaining productivity and identifying opportunities for improvement. This assessment includes analyzing operational data, energy output, and equipment health to ensure the wind farm operates at peak efficiency.
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