Product Description:
Molas CL tower clearance lidar is a type of lidar utilized to
monitor the clearance distance of blade tips in real time. This
technology enables the main controller of the fan unit to promptly
implement protective measures, such as deceleration and retraction,
when the monitored blade clearance value approaches the specified
minimum clearance value.
The implementation of tower clearance lidar on current units can
help prevent tower sweeping and elevate the power limit of units at
risk, ultimately enhancing power generation capabilities.
Furthermore, integrating tower clearance lidar in future units has
the potential to decrease blade costs and reduce the design
pressure on the units.
Features:
- Product Name: Wind Measurement Lidar
- Measurement Accuracy: ±0.2m
- Beam 3: 4.09±0.2°
- Beam 2: 2.05°±0.2°
- Beam 1: 0°
- Enclosure Rating: IP65
Technical Parameters:
| Wavelength | 905nm |
| Detection Distance | 300m @ 10% reflectivity |
| Repeated Measurement Accuracy | ±0.2m |
| Ambient Light Resistance | 100Klux |
| Distance Resolution | ≤0.1m |
| Beam 3 | 4.09° ± 0.2° |
| Beam 2 | 2.05° ± 0.2° |
| Measurement Accuracy | ±0.2m |
| Enclosure Rating | IP65 |
| Ranging Method | ToF |
Applications:
Single point precise feedback is a method of providing detailed and
specific feedback on a particular issue or aspect. It focuses on
addressing individual points with accuracy and specificity.
Threshold detection refers to the technique of identifying specific
thresholds or limits in a system, beyond which a certain action or
response is triggered. It helps in monitoring and managing critical
levels or boundaries.
Trend detection involves recognizing patterns or trends in data to
understand the direction or tendency of change over time. By
analyzing and interpreting trends, organizations can make informed
decisions and predictions based on data-driven insights.
