An online monitoring method and system for total nitrogen and total phosphorus concentration combining spectral enhancement and closed-loop correction

By employing spectral enhancement and closed-loop correction methods, an online monitoring system for total nitrogen and total phosphorus concentrations was constructed, integrating multi-source data and optimizing regional data. This system addresses the issues of speed, accuracy, and long-term reliability in monitoring total nitrogen and total phosphorus concentrations in water bodies, achieving efficient and precise water environment monitoring.

CN122259818APending Publication Date: 2026-06-23CHINESE RES ACAD OF ENVIRONMENTAL SCI
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CHINESE RES ACAD OF ENVIRONMENTAL SCI
Filing Date
2026-03-13
Publication Date
2026-06-23

AI Technical Summary

Technical Problem

Existing technologies are insufficient for rapid, accurate, and dynamic monitoring of total nitrogen and total phosphorus concentrations in water bodies. Traditional methods are time-consuming and labor-intensive, conventional models lack sufficient prediction accuracy and robustness, spectroscopic methods are susceptible to interference, data utilization is uneven, and model performance deteriorates over the long term.

Method used

By combining spectral enhancement and closed-loop correction methods, a high-precision, self-evolving online monitoring system is constructed through multi-source spectral feature fusion, regional optimization, and national control section correction. This system includes multi-source data acquisition, feature extraction, model training, and correction processes.

Benefits of technology

It has achieved high-precision and robust online monitoring of total nitrogen and total phosphorus concentrations in water bodies, improved prediction accuracy and long-term reliability, solved the problems of data imbalance and model drift, and formed a complete technical closed loop.

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Abstract

The application discloses a total nitrogen and total phosphorus concentration online monitoring method and system combining spectrum enhancement and closed-loop correction. The method comprises the following steps: synchronously collecting water quality online monitoring data and fluorescence / ultraviolet spectrum data and performing pretreatment; extracting characteristic indexes related to total nitrogen and total phosphorus from the spectrum data; introducing random noise to the enhancement characteristic set of the predefined key area to perform data enhancement, and performing cluster compression on the data of the non-predefined area; training a machine learning prediction model by using the optimized data; regularly obtaining manual monitoring data of a national control section; and finally performing real-time concentration prediction by using the corrected model. The application relates to the technical field of water environment monitoring; the training efficiency and the performance of the key area are balanced through regional optimization processing, the long-term reliability and authority of the model are ensured through the closed-loop correction mechanism of the national control section data, and high-precision, high-robustness and self-evolution total nitrogen and total phosphorus concentration online monitoring is realized.
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