Method and equipment for measuring total phosphorus flux in water in real time

Through the multi-parameter water quality sensor array and LSTM model, the total phosphorus flux is monitored in real time, which solves the problems of long detection cycles of total phosphorus and large reagent consumption in the existing technology, and achieves efficient and economical real-time water quality monitoring and management.

CN120369908APending Publication Date: 2025-07-25CHINESE RES ACAD OF ENVIRONMENTAL SCI +1
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Patent Information

Application Number
CN202510539176.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-04-27
Publication Date
2025-07-25

AI Technical Summary

Technical Problem

In the prior art, total phosphorus detection relies on laboratory chemical analysis methods to detect a long detection cycle and large reagent consumption, and it is impossible to achieve minute-level real-time monitoring, resulting in a lag in response to pollution incidents.

Method used

The multi-parameter water quality sensor array and long-term short-term memory network LSTM model are used, combined with the radar wave flow meter to monitor the flow data in real time, invert the total phosphorus concentration through LSTM, and power is powered by photovoltaic power generation to realize real-time total phosphorus flux calculation and data upload.

Benefits of technology

It has achieved minute-level total phosphorus flux data acquisition, significantly improving detection efficiency and accuracy, reducing reagent use, reducing costs, and supporting real-time water quality monitoring and management.

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Abstract

The invention discloses a real-time measurement method and device for total phosphorus flux in water, and relates to the technical field of water quality monitoring, and the method comprises the following steps: S1, arranging a radar wave current meter on a monitoring section, and obtaining real-time flow data; s2, installing a multi-parameter water quality sensor array to obtain conventional water quality index data; s3, establishing a multi-parameter coupled long short-term memory (LSTM) network inversion model, and inverting total phosphorus concentration data; s4, calculating the total phosphorus flux in real time according to a flux calculation method, uploading the total phosphorus flux to a cloud platform, and enabling the relative error between inversion data and real data to be smaller than 15% of a sensor, thereby proving that the inversion method of the scheme has very high precision, and because the error range of the inversion data is relatively small, the reliability of the inversion method is relatively high; according to the method, the inversion data can be more reliable, so that a more accurate and scientific decision can be made, the inversion data can more accurately reflect the actual total phosphorus concentration condition due to the high precision, and reliable data support is provided for water quality monitoring and management.
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