Water body monitoring video and data linkage early warning method and system

Abstract

The invention discloses a water body monitoring video and data linkage early warning method which comprises the following steps: S01, according to historical water quality monitoring data, making a risk score table of each river inlet and outlet node; S02, training to obtain a target neural network model according to the historical video data; S03, water quality monitoring and early warning: substituting the monitoring factors of the river inlet and outlet node in the current time period into the risk score table of the node to obtain an early warning level; S04, video monitoring and early warning: processing the monitoring video obtained in the current time period, inputting the processed monitoring video into the target neural network model, outputting an early warning value, and sendingan early warning signal when the early warning value exceeds a threshold value; S05, according to the water quality monitoring early warning level and the video monitoring early warning value, performing comprehensive judgment, and outputting an alarm signal. Artificial intelligence image recognition is utilized, water quality monitoring and video monitoring are combined for discrimination and diagnosis, the false alarm rate caused by other factors such as equipment abnormality is reduced, and the early warning precision is improved; and a water body linkage monitoring alarm system based on videos and data is realized.

Description

Technical field[0001]The present invention relates to the technical field of water environment pollution monitoring, in particular to a water body monitoring video and data linkage early warning method and system.Background technique[0002]The water bodies of my country's main water systems have been polluted to varying degrees, causing great harm to the ecological environment. Protecting the ecological environment has become one of the main contents of government work. At present, for various monitoring platforms such as water environmental pollution control, it is mainly used to identify the abnormal value of a single indicator through calculation methods such as video, image, data utilization interval jump, Tukey distribution, and normal distribution generated by online transmission, so as to judge Whether this monitoring indicator is alarmed, and this alarm method cannot identify false alarms; in addition, for existing water quality and other monitoring videos, manual methods are...

AI Technical Summary

Problems solved by technology

That is to say, in this invention application, the water quality data and video data collected in the water sourc

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