Dissolved oxygen is an important parameter for monitoring the water quality in the ocean. This study focuses on the research of compensation calibration methods for optical dissolved oxygen sensors, which possess advantages such as good robustness and high stability. Considering the issue of data drift caused by various environmental factors affecting optical sensors, the study specifically targets the drawbacks of multi-point nonlinear coupled compensation calibration methods. An optimized quantitative algorithm model is designed to simplify the operation process and enhance the accuracy of dissolved oxygen monitoring. The deviation between the reference value and the calibrated value of the sensor is within ±4μmol•L-1, and the goodness of fit reaches 0.99956.
Zhixuan ErPing GongJian ZhouYiming WangXiaokang JiangLiang Xie
Yongkun ZhaoHongxia ZhangQingwen JinDagong JiaTiegen Liu
Qiong YaoYi-Zhuo QianJi XiaShuidong XiongQi Wang
Ronald McFarlaneM. Coreen Hamilton