| Brand Name: | Movelaser |
| Model Number: | Molas FD |
| MOQ: | 1 Set |
| Delivery Time: | 10 Days |
The system is composed of two main components: a demodulator and a set of sensors. The sensors play a crucial role by converting the signals they measure into wavelength signals through the use of a fiber grating.
These sensors are categorized into three types based on their function: load sensors, acceleration sensors, and temperature sensors. Each type is designed to detect specific parameters, enabling comprehensive monitoring of the target object.
The demodulator processes the feedback wavelength signals received from the sensors, effectively decoding them and facilitating data transmission to external devices or systems. This interaction between the demodulator and sensors is essential for accurate data acquisition.
When deployed, the sensors are strategically positioned on the blade at locations where measurements are required. This setup allows for precise monitoring of various aspects such as load, vibrations, and temperature, thereby ensuring effective assessment of the blade's condition.
Installation is simple and quick, allowing you to get started without any hassle.
Designed for easy maintenance, ensuring long-term usability and minimal downtime.
Offers high precision while remaining flexible and portable for convenient use in various settings.
Provides safe and reliable data, guaranteeing accuracy and security for all your operations.
| Wavelength Resolution | 0.01 pm |
| Cable Tensile Strength | 500 N |
| Number Of Channels | 1-16 Road Optional |
| Cable Bend Radius | Dynamic 120 mm, Static 60 mm |
| Quantity | 3/4/5 |
| IP Protection Class | IP67 |
| Demodulation Accuracy | 20 pm |
| Connect | E-2000/APC |
| Sensor Type | Fiber Bragg Grating |
| Measuring Range | -2000 ~ +2500 με |
The Movelaser Molas FD Wind Speed Lidar is an advanced measurement instrument designed to provide precise and reliable wind speed data in a variety of application occasions and scenarios. Manufactured in China, this product combines cutting-edge Fiber Bragg Grating sensor technology with robust design features, making it ideal for both industrial and environmental monitoring needs.
One of the primary application occasions for the Movelaser Molas FD is in the field of acceleration monitoring. Thanks to its high scanning frequency of 1kHz and a wide measuring range of -2000~+2500με, it accurately captures dynamic changes in wind speed and acceleration, making it indispensable for structural health monitoring of wind turbines, bridges, and tall buildings. The sensor’s capability to perform acceleration monitoring ensures that real-time data is gathered to detect any unusual vibrations or stresses, which is critical to maintaining safety and performance standards.
Temperature compensation is another key feature integrated into the Movelaser Molas FD, allowing it to deliver consistent and accurate measurements even in varying environmental conditions. This makes it highly suitable for outdoor applications where temperature fluctuations can otherwise affect sensor accuracy. The product’s IP67 protection class guarantees excellent resistance against dust and water, enabling it to operate reliably in harsh weather conditions such as storms, heavy rain, or dusty environments.
The Movelaser Molas FD is designed with user convenience in mind. It supports connection via E-2000/APC interfaces, ensuring compatibility with a wide range of data acquisition systems. Packaged securely in a carton box, the product is shipped swiftly with a delivery time of just 10 days and with a minimum order quantity of only one set, catering to both small and large-scale projects.
Overall, the Movelaser Molas FD Wind Speed Lidar excels in scenarios requiring precise wind speed measurement combined with acceleration monitoring and temperature compensation. Its fiber optic sensor technology and robust design make it perfect for applications in wind energy farms, meteorological stations, civil engineering projects, and environmental research, where accurate and reliable wind data is crucial.