A Novel Multi-parameter Intelligent Compensation Method for Accurate Detection of Dissolved Oxygen Concentration

The concentration of dissolved oxygen has a direct effect on the degradation of various pollutants in water, so the detection of this water quality parameter plays a very important role in water treatment. However, dissolved oxygen detection is affected by different factors of the detection environment, and intelligent compensation is needed to achieve high-precision monitoring requirements. In this paper, a multi-parameter intelligent automatic compensation method is proposed to improve the detection accuracy of dissolved oxygen. The hardware detection circuit is set up to realize the automatic monitoring of multiple parameters. Combining compensation formula, table lookup method and interpolation method, the compensation model is established. At the same time, the corresponding software algorithm is designed to filter the signal noise and calculate the concentration of dissolved oxygen, which meets the requirements of measuring speed and high precision.