Method for monitoring condition of cyanobacteria bloom

A cyanobacteria bloom and status technology, applied in the field of detection, can solve the problems of limited accuracy of geographic and time information, and achieve low cost, high reliability, and good real-time performance

Inactive Publication Date: 2012-07-18
UNIV OF SHANGHAI FOR SCI & TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Due to satellite resolution and orbit constraints, the accuracy of geographic and temporal information obtained is limited

Method used

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  • Method for monitoring condition of cyanobacteria bloom
  • Method for monitoring condition of cyanobacteria bloom
  • Method for monitoring condition of cyanobacteria bloom

Examples

Experimental program
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Effect test

Embodiment Construction

[0023] The monitoring method of cyanobacteria bloom status is as follows:

[0024] (1) if figure 1 The shown computer 2 regularly obtains image samples from the monitoring water body through an external monitoring device 1 (the monitoring device can be a monitoring camera or a CCD digital camera, etc.);

[0025] (2) if figure 2 The computer 2 shown in the flow chart preprocesses the image and eliminates the influence of noise information;

[0026] (3) Extract feature vectors and use K-means algorithm to classify images;

[0027] (4) Get the status information of cyanobacteria bloom;

[0028] (5) The image discrimination results are stored in the memory 3 connected to the computer 2 as historical data.

[0029] Image preprocessing steps mainly include Gaussian smoothing filter and color space conversion. Gaussian smoothing filter is used to eliminate the noise and detail information of the image, which can improve the efficiency of feature extraction.

[0030] The defaul...

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Abstract

The invention relates to a method for monitoring the condition of cyanobacteria bloom. The method comprises the following steps of: monitoring a water body at fixed time by a computer through an external monitoring device so as to obtain an image sample; pre-processing the image by the computer so as to eliminate influence of noise information; extracting a feature vector, and classifying the images by a K-means algorithm; obtaining cyanobacteria bloom condition information; and storing a judgment result of the image in a memory connected to the computer as history data. The clustering analysis is applied to monitoring of the condition of the water surface, so that the information of the cyanobacteria bloom is obtained. For the influence of the light on the image, by adopting an HSV (Hue Saturation Value) color space, a V component is eliminated, thus the judgment precision is improved effectively. The invention has the advantages of low cost, good instantaneity and high reliability.

Description

technical field [0001] The invention relates to a detection technology, in particular to a method for monitoring the state of cyanobacteria blooms. Background technique [0002] With the development of the economy and the aggravation of water pollution, the phenomenon of eutrophication on the lake surface is intensifying day by day. Almost every summer in our country, cyanobacteria blooms break out, and the frequent occurrence of cyanobacteria blooms seriously affects the daily life of surrounding residents. In 2007, a large-scale cyanobacteria bloom broke out in the waters of Meiliang Bay, Taihu Lake, Wuxi, which directly led to the incident of stinky tap water in Wuxi, and residents stopped water supply for more than ten days. Therefore, it is particularly urgent to identify the status information of cyanobacteria blooms on the water surface in time and establish emergency measures for the outbreak of cyanobacteria blooms. [0003] At present, the monitoring of cyanobact...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
Inventor 杨旭徐姗姗宋彦斌卫耀辉张颖
Owner UNIV OF SHANGHAI FOR SCI & TECH
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