Monitoring and early warning method for land-based sewage discharge outlets based on color feature adaptive threshold

Abstract

The invention discloses a color feature self-adaption threshold based terrestrial source sea-going sewage outfall monitoring and early-warning method. Interference from light reflection on a water surface is shielded efficiently by utilizing color space conversion; meanwhile, a color early-warning threshold value can be changed adaptively by utilizing color correlation of sky and the water surface, furthermore the terrestrial source sea-going sewage outfall can be monitored and early-warned rapidly, accurately and steadily, an illegal sewage disposal event can be discovered in time and an early warning can be triggered to notify related departments to take processing measures. The color feature self-adaption threshold based terrestrial source sea-going sewage outfall monitoring and early-warning method overcomes the disadvantage of insufficient monitoring force and low manual monitoring frequency, can control water pollution and improve the water quality efficiently, and is of great significance for guaranteeing human health.

Description

technical field [0001] The method of the invention relates to a monitoring and early warning method for land-source sewage outlets into the sea, in particular to a monitoring and early-warning method for land-source sewage outlets based on color feature adaptive thresholds. Background technique [0002] With the emergence of signal processing theory and computers, people have used cameras to obtain image information and converted it into digital signals to imitate human visual processes, such as using computers to replace manual monitoring. In the process of computer image processing, the RGB model is usually converted into other color models, such as the HIS color model widely used in the field of computer vision. The HIS color model includes three color channels: hue, brightness, and saturation. Through the analysis of hue and saturation, it can effectively extract and identify the color of the image area, and then realize monitoring. However, the image content of the lan...

AI Technical Summary

Problems solved by technology

However, the image content of the land-source estuary is greatly affected by the reflection of light on the water surface, and the images collected at the estuary are greatly affected by weather changes, so it is not possible to use a uniform color or saturation threshold to judge the sewage behavior. The monitoring and early warning of mouth still relies on manual investigation

Due to the wide distribution of land-based sewage outlets into the sea, and the problems of high cost and low frequency of manual surveys, it is more difficult to supervise, and it is impossible to detect and stop the illegal and excessive discharge of sewage in time, resulting in the deterioration of the water environment in coastal waters and the Serious consequences such as ecological imbalance and water resource damage

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