Multiple isomerous water environment monitoring data evaluating and early-warning method

Abstract

The invention provides a multiple isomerous water environment monitoring data evaluating and early-warning method, and belongs to the field of water quality information processing. The method of background deduction is used in extraction of a moving target, a frame number counter is installed at each pixel, and when one pixel is judged to be a foreground point, the frame number counter at the one pixel adds 1; when one pixel is greater than a set threshold value, the gray value of the one pixel servers as the gray value of the one foreground point; the percentage of the number of the foreground point pixels in all the pixels is a characteristic parameter of the moving target. In water-surface main characteristic parameter extraction, an image is divided into 16*16 macro blocks, the macro blocks with the percentage of the gray level having the maximum number of the pixels in all the pixels exceeding 40% are chosen, statistics is conducted on the area having the maximum number of alternative macro blocks, and the average gray value of all the macro blocks in the area is used as a water-surface main area characteristic parameter. Then, the two characteristic parameters and water quality attribute data collected by sensors are used as characteristic vectors, and the relation between the characteristic vectors and a water environment safety level is built. The multiple isomerous water environment monitoring data evaluating and early-warning method can detect the moving object when a background changes severely.

Description

technical field [0001] The invention relates to a method for evaluating and early warning of multiple heterogeneous water environment monitoring data by using a support vector machine. Background technique [0002] The construction of a water environment monitoring system is an important means to protect the water quality of water sources and main canals, and it is of great strategic significance to alleviate the crisis of water resources, improve the ecological environment of water receiving areas, and promote the construction of ecological civilization in water sources. [0003] my country's water environment quality assessment started relatively late, and the wide application of various mathematical methods after the 1990s has further developed water quality assessment. At present, the existing water environment automatic monitoring system, water quality evaluation is mainly based on modeling and classification of multi-attribute values ​​of water quality. BP model is the...

AI Technical Summary

Problems solved by technology

The single Gaussian background model method is one of the background subtraction methods. It is a moving target detection method that uses the difference between the current image and the background image to detect the moving area. The pixels of the foreground are updated, but the pixels judged as the foreground do not participate in the update of the background model, resulting in incorrect detection of objects that change from static to motion or from motion to static, and the safety performance is not high.

At the same time, water quality analysis and evaluation and on-site environmental safety are independent of each other, and various data resources are not fully integrated and deeply developed, which cannot meet the current water environment safety monitoring requirements

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