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Water surface oil stain detection method

A water surface oil pollution and detection method technology, which is applied in the direction of neural learning methods, image data processing, instruments, etc., can solve the problems of low accuracy, low practicability, and large labor cost, and achieve the goal of improving accuracy and practicability Effect

Pending Publication Date: 2021-12-17
SICHUAN HUANENG BAOXINGHE HYDROPOWER CO LTD
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  • Claims
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Problems solved by technology

[0004] For this reason, the purpose of the present invention is to provide a method for detecting oil pollution on the water surface, which is used to solve the problems of low practicality, large labor cost investment, low detection efficiency and low accuracy in the prior art.

Method used

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  • Water surface oil stain detection method
  • Water surface oil stain detection method
  • Water surface oil stain detection method

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Embodiment 1

[0045] Such as figure 1 As shown, the present embodiment provides a method for detecting water surface oil pollution, comprising the following steps:

[0046] S1: Obtain the initial water surface image, process the initial water surface image, and obtain the final water surface image;

[0047] The specific steps are:

[0048] S1-1: Obtain the real-time video data of the water surface, and perform frame interception on the real-time video data to obtain the initial water surface image;

[0049] Real-time acquisition of the initial water surface image improves the real-time performance of oil pollution detection on the water surface, and can detect oil pollution on the water surface in time, improving the practicability;

[0050] S1-2: Define and preprocess the initial water surface image to obtain the preprocessed water surface image;

[0051] The definition of the initial water surface image includes image definition and data marking, and records the location of the current...

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Abstract

The invention belongs to the technical field of oil stain detection, and particularly discloses a water surface oil stain detection method which comprises the following steps: S1, acquiring an initial water surface image, and processing the initial water surface image to obtain a final water surface image; S2, segmenting the final water surface image to obtain a target area; S3, extracting characteristic parameter values of the target area; S4, establishing a water surface oil stain detection model based on the neural network; and S5, inputting the characteristic parameter value of the target area into the water surface oil stain detection model to obtain a water surface oil stain detection result. According to the invention, the problems of low practicability, large labor cost investment, low detection efficiency and low accuracy in the prior art are solved.

Description

technical field [0001] The invention belongs to the technical field of oil pollution detection, and in particular relates to a water surface oil pollution detection method. Background technique [0002] The oil pollution on the water surface of the hydropower station has a great impact on the normal operation of the hydropower station. Unlike other floating objects, the oil pollution on the water surface has obvious characteristics and is easy to judge and identify. In the existing obstacle detection system, it can only detect the floating objects that obviously protrude from the water surface, but cannot detect the oil pollution on the water surface without obvious height difference, so the practicability is low; the existing oil pollution on the water surface generally relies on manual detection, and the labor cost The investment is large, and the detection efficiency is low, and the accuracy is low. Contents of the invention [0003] The present invention aims to solve...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/11G06T7/194G06T5/00G06N3/04G06N3/08
CPCG06T7/0002G06T7/11G06T7/194G06N3/04G06N3/08G06T2207/10016G06T2207/20081G06T5/70
Inventor 李军李阳赵付华吴宏宇朱学富周波
Owner SICHUAN HUANENG BAOXINGHE HYDROPOWER CO LTD
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