Research of Intelligent Turbidity Sensor
نویسندگان
چکیده
Turbidity is an important index to evaluate the water quality. Turbidity can reflect the effects of insoluble substances that contain bait and seston on water. Traditional methods of turbidity detection are complicated, they have low efficiency and poor reliability. To solve the turbidity detection problem in aquaculture, an intelligent optical turbidity sensor which is based on scattering theory has been proposed in this paper. After analyzing the quality characteristics of aquaculture water, the light with 880nm wavelength has been selected as the light source, it can effectively overcome the effect of bait and other organic matter in aquaculture water on turbidity detection. According to the characteristics of turbidity detection, the signal transmitting circuit has been designed to eliminate the effects of noise. So, the accuracy of the sensor is improved. Based on the test experiment on performance of the turbidity sensor, an intelligent correction and compensation model has been designed, which overcomes the influence of temperature fluctuation on the measurement results, improving stability of the turbidity detection. Results of the test have shown that the intelligent turbidity sensor has good stability and reliability, which is suitable for turbidity detection of aquaculture water. Copyright © 2014 IFSA Publishing, S. L.
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