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River sudden water pollution early warning traceability method and system, terminal and medium

A technology for water pollution and pollution sources, which is applied in the direction of testing organic pollutants in water, general water supply saving, and testing water, etc. It can solve the problems such as difficulty in satisfying the calculation conditions of the traceability model, large amount of calculation, and insufficient accuracy of traceability results, etc., so as to improve the alarm Accuracy and timeliness, improving search accuracy and improving decision-making efficiency

Pending Publication Date: 2020-11-06
SOUTH CHINA INST OF ENVIRONMENTAL SCI MEP
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  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to solve the slow response time of identification and early warning of water quality abnormal events, and the existing traceability model method is difficult to meet the calculation conditions of the traceability model due to specific river network environmental factors such as complex river network environment, multiple types of compound pollution, tidal current changes, and the opening and closing of many sluices. , large amount of calculation, and insufficient accuracy of traceability results, the purpose of the present invention is to provide a method, system, terminal and medium for early warning and traceability of river sudden water pollution

Method used

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  • River sudden water pollution early warning traceability method and system, terminal and medium
  • River sudden water pollution early warning traceability method and system, terminal and medium
  • River sudden water pollution early warning traceability method and system, terminal and medium

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Experimental program
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Embodiment 1

[0065] Embodiment 1: A method for early warning and traceability of river sudden water pollution, such as figure 1 shown, including the following steps:

[0066] S101: Obtain online monitoring data and historical monitoring data of routine indicators of water quality.

[0067] S102: Start an abnormal algorithm for the received online monitoring data to analyze and predict water quality, and perform early warning and forecast for detected abnormal instantaneous water quality events. The early warning and forecasting of abnormal instantaneous water quality events is as follows: using spectral analysis data to drive the model to predict the baseline error distribution and threshold of the corrected model to detect abnormal water quality, including:

[0068] In the first stage, the power spectral density in the Fourier transform is used to identify the periodic changes and anomalies of historical monitoring data. The first stage is specifically:

[0069] The formula for calcula...

Embodiment 2

[0100] Embodiment 2: A kind of early warning and traceability system of river sudden water pollution, such as figure 2 As shown, it includes a host system, an information collection device, an input device, and an output display device.

[0101] The host system is networked with the GIS geographic information system, and the host system includes a first processor and a second processor. The first processor, embedded with ARIMA model, spectral analysis, Facebook Prophet model and wavelet ANN model, is used for real-time analysis and prediction of the received water quality online monitoring data, and forecast and early warning of detected abnormal instantaneous water quality events. The second processor is embedded with an active item model and an optimal search and tracking model, and is used to receive various types of information collected by input devices or information collection devices, and continuously optimize and adjust the mosaic model according to the received vari...

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Abstract

The invention discloses a river sudden water pollution early warning traceability method and system, a terminal and a medium. According to the technical scheme, the method is characterized by comprising the steps: acquiring online monitoring data and historical monitoring data of water quality conventional indexes; starting an abnormal algorithm for the received online monitoring data to perform water quality analysis and prediction, and performing early warning and forecasting; starting a decision response according to a detected abnormal instantaneous water quality event, and operating an emergency monitoring scheme after emergency response; calculating pollution source information according to a quantitative inversion traceability algorithm of a source item model, and optimizing the pollution source information; feeding back an optimization result to the emergency response, and optimizing a monitoring scheme; and according to the traceability feedback result of the source item model, inputting an instruction in a human-computer interaction mode, and repeating the operation until the traceability search range is reduced to the extent that a pollution source can be found through on-site troubleshooting. Real-time response of river water quality on-line supervision, qualitative and quantitative inversion discharge history estimation and pollution source position identificationare realized, and the accuracy and timeliness of water quality abnormity early warning are improved.

Description

technical field [0001] The invention relates to the technical field of water quality monitoring, more specifically, it relates to a method, system, terminal and medium for early warning and traceability of river sudden water pollution. Background technique [0002] Early warning and traceability of river water pollution refers to the monitoring and early warning of abnormal water quality events in rivers and the qualitative and quantitative traceability of water pollution sources after abnormal water quality events. [0003] At present, the existing water quality prediction and early warning technology is mainly based on the difference or threshold between the prediction of historical data and the online monitoring value to judge whether there is an abnormal water quality event. However, this technical method is usually used in hydrological changes. Abnormal changes need to last for a week or longer to be determined, so the existing technology has certain deficiencies in the...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06F17/18G06F17/14G01N33/18
CPCG06F17/14G06F17/18G01N33/18G01N33/1826G06F18/29Y02A20/20Y02A20/152
Inventor 邝红艳杨大勇何煜然周永杰
Owner SOUTH CHINA INST OF ENVIRONMENTAL SCI MEP