Fiber optic turbidity sensor supply

With the continuous advancement of technology and the expansion of its application scope,Fiber optic turbidity sensor supplyIt will play a more important role in the field of water quality monitoring. In the future, it will become one of the mainstream technologies for water quality monitoring, providing more refined and comprehensive data support for water resource management.

Fiber optic turbidity sensor supplyWorking mechanism:

1. Light scattering principle: Fiber optic turbidity sensors use the scattering phenomenon of light in suspensions to measure turbidity. When light passes through a suspension, suspended particles scatter the light, causing the originally straight propagating light to deflect and diffuse. The magnitude of turbidity is related to the intensity and angle of scattered light.

2. Fiber optic transmission: Fiber optic serves as the optical path of the sensor, guiding the light emitted by the light source into the suspension and transmitting the scattered light back to the receiver. Fiber optics have highly sensitive optical transmission characteristics and can accurately transmit optical signals.

3. Light intensity measurement: Sensors determine the magnitude of turbidity by measuring the intensity of scattered light received. The higher the turbidity, the greater the intensity of scattered light.

performance advantage

High precision measurement: The measurement accuracy of the fiber optic turbidity sensor can reach below 0.1NTU, ensuring accuracy in water quality monitoring.

Strong anti-interference ability: Fiber optic transmission signals are not affected by electromagnetic interference, and the added filtering algorithm inside the sensor improves anti-interference ability, enabling the sensor to maintain stable measurement performance in complex and changing environments.

Multifunctionality and intelligence: Sensors can not only measure turbidity in water, but also detect various parameters such as dissolved oxygen, pH value, temperature, etc. At the same time, by using digital signal processing technology, calibration and adjustment can be automatically performed, reducing manual intervention.

Remote monitoring and data storage: Sensors can be connected to the network to achieve remote monitoring. Digital signal processing technology also facilitates data storage and remote transmission, providing more refined and comprehensive data support for water resource management.

Long lifespan and low cost: Sensors have a long service life, low maintenance costs, and their digital signal processing technology reduces manual intervention, further reducing operating costs.