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| Beam 1: | 0° | Operating Humidity Range: | 0%-100%RH | 
|---|---|---|---|
| Repeated Measurement Acuresy: | ±0.2m | Enclosure Rating: | IP65 | 
| Laser Safely Level: | Class 1M | DetectonDstance: | 300m@10%reilectivity | 
| RangeOf Woiking Temperature: | -40℃~+60℃ | Beam 2: | 2.05°±0.2° | 
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.
| 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 | 
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.
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