Automatic blue algae monitoring and early warning method and automatic blue algae monitoring and early warning system

A technology for automatic monitoring and cyanobacteria, applied in signal transmission systems, neural learning methods, measuring devices, etc., can solve problems such as inability to meet the needs of cyanobacteria monitoring and poor results, achieve convenient video image data transmission, improve accuracy, and improve effectiveness sexual effect

Inactive Publication Date: 2019-08-09
HEFEI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Aiming at the existing technical problems, the present invention provides an automatic monitoring and early warning method for cyanobacteria and its automatic monitoring and early warning system, which solves the problem that the existing early warning method for cyanobacteria has poor effect and cannot meet the actual monitoring needs of cyanobacteria

Method used

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  • Automatic blue algae monitoring and early warning method and automatic blue algae monitoring and early warning system
  • Automatic blue algae monitoring and early warning method and automatic blue algae monitoring and early warning system
  • Automatic blue algae monitoring and early warning method and automatic blue algae monitoring and early warning system

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Embodiment 1

[0054] see figure 1 , the present embodiment provides a method for automatic monitoring and early warning of cyanobacteria, which includes the following steps. What needs to be explained here is that the early warning method in this embodiment is described through the monitoring and early warning of Chaohu Lake.

[0055] Step 1. Shoot images of cyanobacteria in a certain water area in real time to obtain corresponding images of cyanobacteria. There are various ways to acquire the cyanobacteria image. In this embodiment, the cyanobacteria image is acquired through the dome camera and the image acquisition module. The existing camera has achieved starlight night vision, zooming dozens of times, and can see for kilometers. Therefore, installing a dome camera to collect video images of cyanobacteria in places where cyanobacteria blooms often occur in Chaohu Lake, and multi-point joint monitoring can realize Chaohu Lake. Whole water monitoring. In the actual installation, multip...

Embodiment 2

[0096] see Figure 10 , This embodiment provides an automatic monitoring and early warning system for cyanobacteria, which applies the automatic monitoring and early warning method for cyanobacteria in Embodiment 1. In this embodiment, the blue-green algae automatic monitoring and early warning system includes an on-site monitoring subsystem and a remote control subsystem.

[0097] The on-site monitoring subsystem includes a camera, an image acquisition module and a communication module, and may also include a power module. Among them, the image acquisition module and the communication module can form a centralized control center. The camera is used to capture images of cyanobacteria in a certain water area in real time. In this embodiment, the camera is a dome camera. The image acquisition module is used to generate corresponding cyanobacteria images according to the real-time images captured by the camera. The communication module is used to send the cyanobacteria image t...

Embodiment 3

[0103] This embodiment provides a computer terminal, which includes a memory, a processor, and a computer program stored in the memory and operable on the processor. When the processor executes the program, the steps of the automatic monitoring and early warning method for cyanobacteria in Embodiment 1 are realized.

[0104] When the method of Embodiment 1 or 2 is applied, it can be applied in the form of software, such as a program designed to run independently, installed on a computer terminal, and the computer terminal can be a computer, a smart phone, or other Internet of Things devices. The method of Embodiment 1 or 2 can also be designed as an embedded running program, installed on a computer terminal, such as a single-chip microcomputer.

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Abstract

The invention discloses an automatic blue algae monitoring and early warning method and an automatic blue algae monitoring and early warning system. The method comprises the following steps: shootinga certain image of blue algae in a water area in real time to obtain a corresponding blue algae image; corroding and expanding the blue algae image, and filling holes to obtain an RGB histogram of theblue algae image; converting the blue algae image into a gray-scale image, and solving an LBP map to obtain an LBP histogram; obtaining color features and texture features of the blue algae image; weighting and fusing the color features and the texture features at a decision level to form fused features; identifying a blue algae area of the blue algae image according to the fused features; calculating a pixel proportion of the blue algae area occupying the whole blue algae image; and judging a standard range of the blue algae image according to the pixel ratio, and sending out corresponding early warning information. The invention has a good application effect on multi-feature fusion under small samples, high-dimensional space and uncertainty, does not depend on the number and quality ofthe samples excessively, and realizes monitoring and early warning of the blue algae.

Description

technical field [0001] The invention relates to an early warning method in the technical field of cyanobacteria early warning, in particular to an automatic cyanobacteria monitoring and early warning method, and also relates to an automatic cyanobacteria monitoring and early warning system for the cyanobacteria automatic monitoring and early warning method. Background technique [0002] Cyanobacteria, also known as blue-green algae, is a large-scale species with a long history of evolution, negative Gram staining, no flagella, chlorophyll A, but no chloroplast (different from eukaryotic algae), capable of oxygenic photosynthesis Single-celled prokaryotes. Its development makes the entire earth's atmosphere develop from anaerobic state to aerobic state, thus giving birth to the evolution and development of all aerobic organisms. However, some cyanobacteria cause eutrophic seawater "red tide" and lake "bloom" after being polluted by nitrogen, phosphorus and other elements, wh...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/84G01N21/01G06K9/62G06N3/08G06T5/30G06T5/40G08C17/02
CPCG01N21/84G01N21/01G08C17/02G06T5/40G06T5/30G06N3/084G06T2207/30188G06T2207/10024G01N2021/8466G01N2021/0112G06F18/2411G06F18/214
Inventor 顾涓涓张迎春高慧敏吴亚张红梦
Owner HEFEI UNIV
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