Publications by authors named "Yingya Ye"
Spectral collinearity and limited spectral datasets are the problems influencing Chemical Oxygen Demand (COD) modeling. To address the first problem and obtain optimal modeling range, the spectra are preprocessed using six methods including Standard Normal Variate, Savitzky-Golay Smoothing Filtering (SG) etc. Subsequently, the 190-350 nm spectral range is divided into 10 subintervals, and Interval Partial Least Squares (IPLS) is used to perform PLS modeling on each interval.
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- The study examines national standard methods for measuring water quality indicators like Temperature, pH, Turbidity, Conductivity, and TDS, noting that traditional chemical methods can lead to secondary pollution due to liquid residue.
- It introduces a water quality monitoring system that simplifies the measurement process by analyzing historical data from five sensors, providing real-time graphical displays, and early warnings about water quality standards being exceeded.
- Results indicate that the system performs well in measuring key indicators, with low average measurement errors and a small percentage of outlier data; it also finds the K nearest neighbor algorithm the most effective for dealing with outliers, aiding decisions on equipment maintenance and water quality management.