Imaging-based testing device and testing method for mesh number of gill net

Abstract

The invention discloses an imaging-based testing device and testing method for the mesh number of a gill net. The testing device is of a three-dimensional structure and is made of a transparent material. The testing device comprises a testing surface, which is provided with a grid with scales; a pressure member, which is capable of fixing a gill net onto the testing surface; a marker member, whichcan be marked on the surface of the testing surface; and an imaging member, which is capable of imaging the testing surface and the marker. The testing method comprises the following steps: marking the gill net on the testing surface, and calculating the number of horizontal grids and the number of vertical grids of the gill net on the basis of the gill net marker, formed in virtue of an imagingtechnology, in the grid of the testing surface and the length and width of the gill net. The imaging-based testing device of the invention can quickly, efficiently and accurately acquire the mesh number of the gill net; and after use is completed, the imaging-based testing device only needs to be washed with water and is thus can be repeatedly used.

Description

technical field [0001] The invention relates to a gillnet mesh count measuring device, in particular to an imaging-based gillnet mesh count rapid testing device and a gillnet mesh fast measuring method. Background technique [0002] Gillnet is a fishing gear that works on the principle of netting or netting. At present, gillnet is the most widely used fishing gear in my country's oceans and inland waters. The mesh number of gillnet refers to the number of vertical and horizontal meshes. The mesh number is an important technical parameter of gillnet, which is of great significance to the survey, test and management of fishing gear. The horizontal and vertical mesh numbers of gillnets are the key indicators to determine its main size. [0003] At present, the number of meshes of gillnets is mainly measured by manually counting each mesh one by one. This method is feasible when the net gear is in a non-fishing state and the number of meshes is small. However, when the net ...

AI Technical Summary

Problems solved by technology

However, when the net gear is carrying out fishing operations in the sea or the number of meshes is large (for example, the number of meshes exceeds 1000), the method of manual counting has great limitations

Moreover, the manual counting method takes a long time, has low efficiency, and has large errors

In addition, when the method of manual statistics produces large errors, it cannot be reviewed, verified and corrected.

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