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 monitoring atmospheric conditions at various altitudes, specifically from 30 meters up to 350 meters above the lidar unit.
This advanced system is composed of four essential modules that form the backbone of the Molas B300 series. 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 within the Molas B300 series is meticulously optimized to ensure seamless integration and flawless coordination across the entire system. Moreover, the design emphasizes strong data security, making the device reliable and trustworthy. Performance-wise, the Molas B300 meets and often surpasses internationally recognized advanced standards.
Features:
Non-contact Measurement
Our technology offers a convenient and rapid non-contact measurement solution, setting the benchmark in the industry for efficiency and ease of use.
High Accuracy
Achieve precision with measurements accurate up to 0.1 meters per second and an angular accuracy of 1°, ensuring reliable data every time.
Easy Maintenance
Maintenance is straightforward and fast, designed to eliminate any safety risks during production, allowing for worry-free upkeep.
Data Security
Our system guarantees data protection, preventing economic or policy-related risks such as data leakage.
Large Range
Covering distances from 20 to 350 meters, with options for 12 or 24 customizable levels, it offers extensive measurement capabilities.
No Infrastructure Construction Required
This solution requires no land acquisition or additional infrastructure building, saving both effort and concerns associated with construction.
Flexible Deployment
Compact and lightweight, the device adapts easily to various terrains, allowing for versatile deployment in different environments.
All-Weather Capability
Designed to operate reliably under harsh outdoor conditions, it performs consistently regardless of weather challenges.
Time-Saving and Efficient
With simple operation and quick setup, this system saves valuable time and reduces costs, enhancing overall efficiency.
Flexible Configuration
Wireless connectivity enables adaptable configuration and seamless data transmission, tailored to meet diverse operational needs.
Technical Parameters:
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Technical Parameter
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Specification
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Weight
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≤50kg
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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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Powered By
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24V±5% DC, 100~230V AC
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Power
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≤60W
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Humidity Range
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0% To 100%
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Wind Speed Accuracy
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0.1 m/s
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Wind Speed Range
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0~75 m/s
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Size (with Handle)
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554 × 430 × 581 mm³
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Sampling Rate
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1 Hz
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Applications:
Wind Resource Assessment
Evaluating the potential of wind energy in a specific location is crucial for successful project development. Wind resource assessment involves the detailed analysis of wind patterns, speeds, and consistency to determine the viability of harnessing wind power.
Wind Power Prediction System
Utilizing advanced forecasting models, wind power prediction systems provide accurate short-term and long-term estimates of wind energy generation. These systems help optimize energy management by anticipating fluctuations in wind power output.
Weather Detection
Monitoring weather conditions is essential for the safe and efficient operation of wind farms. Weather detection technologies collect real-time data on factors such as temperature, humidity, and atmospheric pressure, supporting decision-making processes.
Micro Site Selection and Review
The process of identifying and evaluating specific locations within a broader area plays a vital role in maximizing energy production. Micro site selection considers topographical features, wind flow patterns, and environmental impacts to ensure the best possible placement of wind turbines.
Wind Farm Performance Assessment
Analyzing the overall effectiveness and output of a wind farm involves continuous performance assessment. This includes monitoring operational data, diagnosing issues, and optimizing turbine functionality to enhance energy generation and maintain reliability.
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