In recent years, the increasingly serious problem of marine pollution has raised high concern about environmental issues among people, which in turn has promoted rapid development of marine pollution detection technology. UV fullspectrum analysis is a nitrate detection method based on characteristics such as no reagents required, convenient and fast, and high detection accuracy. This article takes nitrate standard solution prepared with potassium nitrate as the experimental object, collects UV full-spectrum from 0 to 7mg/L standard solutions, uses the Savitzky-Golay (SG) smoothing algorithm to remove noise from the original nitrate full-spectrum data, processes the UV full-spectrum data using principal component analysis (PCA) algorithm, extracts characteristic bands, and uses BP neural network modeling for the screened bands. The results show that within the spectral range of 201-207nm, the prediction model achieves the highest coefficient of determination, with an R2 of 0.99997, and the smallest root mean square error, with an RMSE of 0.11149, and all performance indicators are superior to those of the UV full-spectrum modeling method.
KEYWORDS: Oceanography, Environmental monitoring, Equipment, Sensors, Data transmission, Spectroscopy, Global Positioning System, Design and modelling, Data storage, Power supplies
Based on NaI (Tl) scintillation crystals is currently the main technology for marine radioactivity monitoring in the world. However, the marine radioactive gamma spectrum sensor based on this technology generally has the disadvantage of a large output data volume. When the sensor is equipped with buoys and other marine automatic monitoring platforms to achieve long-term, continuous and automatic monitoring, the seawater gamma energy obtained by continuous measurement Remote transmission of spectral data becomes a difficult problem. In this paper , the gamma energy spectrum analysis process is transplanted from the host computer to the sensor end to avoid errors caused in the process of large-capacity data transmission. Using STM32 on the sensor end for early energy spectrum analysis can realize real-time measurement data of seawater gamma energy spectrum The automatic analysis of radioactive pollution is of great significance to the monitoring, early warning and emergency response of marine radioactive pollution.
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