Real-time analysis method for sewage color and flow detection on basis of sewage port video

Abstract

The invention discloses a real-time analysis method for sewage color and flow detection on the basis of a sewage port video. The method comprises steps as follows: firstly, whether water is drained from a drainage port is detected, if water is drained, colors of different pixel positions of a current running water area are detected and compared with images when no water is drained, the water flow transparency is acquired according to the color distance, the colors are converted to a white background uniformly, and the transparency rate and the conversion colors are output; the transparency rate and the colors are converted, the transparency rate and the colors after sewage treatment under the standard condition are compared, the relative volume of the drained water is converted, and if the drainage port is a standard Parshall flume, the actual volume of the water flow is converted. The sewage drainage port is monitored on scene in real time, whether the water is drained from the drainage port is detected, and if the water is drained timely, the color, the flow volume and the transparency rate of the sewage are extracted. The actual volume of water flow and the height of the water flow at a Parshall flume pipe can be further calculated.

Description

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AI Technical Summary

Benefits of technology

This technology helps detect leaks or blockages that may occur during wastewater treatment processes by capturing images from different parts of the facility's underground pipe network. These captured image frames are then analyzed with computer software tools to determine how much liquid has been collected within them over an extended period of time (usually several hours). By doing this analysis, researchers will help identify potential issues early before they become more difficult to fix themselves without causing damage.

Problems solved by technology

This patented technical problem addressed in this patents relates to improving the efficiency and accuracy of detecting potential or existing issues related to wastewater management systems such as contamination from manure overflows caused by human activities like runoff rain or snow melting. Current methods require manual observation and may lead to overlooked areas where no significant threat exists even after hours.

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