Water quality safety online biological early warning and monitoring system based on video identification

Abstract

The invention discloses a water quality safety online biological early warning and monitoring system based on video identification. The water quality safety online biological early warning and monitoring system comprises a monitoring vessel, an image collection module, an image data pretreatment module, a background extraction and target detection module, a motion tracing module, a control module and a GSM (Global System for Mobile Communication) remote early warning module. With the adoption of the water quality safety online biological early warning and monitoring system, raw water and fish fry to be detected are introduced into the monitoring vessel, images of the fish fry are collected by the image collection module in real time and are sequentially transferred to the image data pretreatment module, the background extraction and target detection module and the motion tracing module to obtain a motion track of the fish fry; motion parameters are obtained by the control module according to the motion track of the fish fry, an increasing amplitude is obtained by comparing the motion parameters with normal values, and warning is carried out when the increasing amplitude exceeds an increasing amplitude set by a user. According to the water quality safety online biological early warning and monitoring system disclosed by the invention, a water pollution biological testing method is adopted to detect the raw water, i.e. the water quality pollution conditions are tested by utilizing the variation of physiological functions of aquatic organisms due to poisoning by pollutants.

Description

technical field [0001] The invention relates to the technical field of environmental detection and water body pollution control, in particular to an online biological early warning and monitoring system for water quality safety based on video recognition. Background technique [0002] my country has established water quality testing networks and early warning mechanisms in key river and lake basins and sensitive water areas. But currently these systems mainly rely on conventional chemical analysis techniques for water quality inspection and analysis. Chemical analysis is easy to standardize and can accurately detect the content of target pollutants, but it takes a long time and the detection cost is high, making it difficult to achieve online continuous detection; although biological detection technology can achieve online detection, the current early warning and monitoring systems using biological detection technology are all It detects sudden changes in water quality by d...

AI Technical Summary

Problems solved by technology

Chemical analysis is easy to standardize and can accurately detect the content of target pollutants, but it takes a long time and the detection cost is high, making it difficult to achieve online continuous detection; although biological detection technology can achieve online detection, the current early warning and monitoring systems using biological detection technology are all It detects sudden changes in water quality by detecting the respiratory state of microorganisms in the reactor, that is, oxygen consumption, organic matter and turbidity in the water. The problem is that the monitoring system is expensive and can only detect changes in water quality caused by certain chemical substances.

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