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Online detection and identification method and system for fish toxic red tide algae

An identification method and identification system technology are applied in the field of online detection and identification methods and systems for fish toxic red tide algae, and achieve the effects of simple operation and high detection accuracy.

Pending Publication Date: 2021-06-25
YANSHAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

But at present, there is no identification method or system that can be used for online detection of fish-toxic red tide algae

Method used

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  • Online detection and identification method and system for fish toxic red tide algae
  • Online detection and identification method and system for fish toxic red tide algae
  • Online detection and identification method and system for fish toxic red tide algae

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Embodiment Construction

[0043] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0044] The purpose of the present invention is to provide an online detection and identification method and system for fish-toxic red tide algae, which can realize uninterrupted in-situ online detection and improve detection accuracy.

[0045] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and s...

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Abstract

The invention relates to an online detection and identification method and system for a fish toxic red tide algae. The method comprises the following steps: acquiring three-dimensional fluorescence spectrum data of a red tide algae sample; preprocessing the three-dimensional fluorescence spectrum data of the red tide algae sample; extracting spectral features from the preprocessed three-dimensional fluorescence spectrum data; according to the extracted spectral features, establishing a mapping model of fish toxic red tide algae hemolytic activity identification by adopting a particle swarm optimization support vector machine method; and determining an identification result by using the mapping model according to the extracted spectral features. The online detection and identification method and system for the fish toxic red tide algae provided by the invention can realize uninterrupted in-situ online detection and improve detection precision.

Description

technical field [0001] The invention relates to the field of qualitative detection of fish-toxic red tide algae, in particular to an online detection and identification method and system for fish-toxic red tide algae. Background technique [0002] Harmful algal bloom (HAB), also known as red tide, is a harmful ecological phenomenon in which some phytoplankton, protozoa or bacteria explosively multiply or highly gather in seawater under certain environmental conditions, causing water discoloration. Among them, Ichthyotoxic red tide can produce a variety of toxic substances, causing a large number of fish and shellfish to die in a short period of time. At present, fish-toxic red tide algae have been widely distributed in the coastal areas of China. In 2012 alone, the East China Sea lost more than 2 billion yuan due to Karenia militaris, which seriously restricted the sustainable and healthy development of China's offshore aquaculture industry. The in-situ and online early rap...

Claims

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Application Information

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IPC IPC(8): G01N21/64G06K9/62G06N3/00
CPCG01N21/6486G06N3/006G06F18/2411G01N2021/6417G06N20/10G01N21/64G01N33/18G01N2021/6423
Inventor 毕卫红王思远付广伟付兴虎金娃
Owner YANSHAN UNIV
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