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| Laser Safely Level: | Class 1M | DetectonDstance: | 300m@10%reilectivity | 
|---|---|---|---|
| Distance Resolution: | ≤0.1m | Beam 3: | 4.09±0.2° | 
| Operating Humidity Range: | 0%-100%RH | Enclosure Rating: | IP65 | 
| RangeOf Woiking Temperature: | -40℃~+60℃ | Repeated Measurement Acuresy: | ±0.2m | 
Molas CL tower clearance lidar is a type of lidar that constantly monitors the distance between the blade tip and the tower in real-time. When the monitored clearance value approaches the predefined minimum, the fan unit's main controller can promptly enact protective measures, such as deceleration or retraction. By incorporating tower clearance lidar on current units, tower collisions can be prevented, potentially raising the operating limit of risky units and enhancing power generation.
Moreover, implementing tower clearance lidar on upcoming units can lead to savings in blade expenses and lower the design pressure on these units. This technology offers a proactive approach to maintaining safety and optimizing power efficiency in wind turbines.
| Working Acceleration Range | -0.5g~0.5g | 
| Operating Humidity Range | 0%-100%RH | 
| Beam 2 | 2.05°±0.2° | 
| Enclosure Rating | IP65 | 
| Repeat Frequency | 20KHz per channel | 
| Beam 1 | 0° | 
| Beam 3 | 4.09°±0.2° | 
| Range Of Working Temperature | -40℃~+60℃ | 
| Detection Distance | 300m @ 10% reflectivity | 
| Ambient Light Resistance | 100Klux | 
Single point precise feedback
Single point precise feedback refers to providing specific and detailed feedback on a particular issue or aspect. It involves pointing out exactly what needs to be addressed or improved, offering clear guidance to the recipient.
Threshold detection
Threshold detection involves identifying a certain level or limit that, once reached or exceeded, triggers a specific action or response. It is commonly used in various fields such as technology, security, and environmental monitoring to indicate critical points.
Trend detection
Trend detection is the process of recognizing patterns or movements over time in data or behavior. It involves analyzing and identifying trends, whether they are increasing, decreasing, or remaining stable, to help make informed decisions or predictions.
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