CN119404818B

CN119404818B - Shellfish catching experimental device and detection method

Info

Publication number: CN119404818B
Application number: CN202411438616.7A
Authority: CN
Inventors: 田中旭; 杨超; 毛玉泽; 薛素燕; 杨美洁
Original assignee: Shanghai Ocean University; Yellow Sea Fisheries Research Institute Chinese Academy of Fishery Sciences
Current assignee: Shanghai Ocean University; Yellow Sea Fisheries Research Institute Chinese Academy of Fishery Sciences
Priority date: 2024-10-15
Filing date: 2024-10-15
Publication date: 2025-11-21
Anticipated expiration: 2044-10-15
Also published as: CN119404818A

Abstract

The invention discloses a shellfish capturing experimental device and a detection method, wherein a substrate layer and a water body layer are sequentially arranged in the water tank from bottom to top, a flushing part is arranged outside the water tank and provided with a spray head, the spray head faces the water tank, a first image pickup element is horizontally arranged at the top position of the water tank, a second image pickup element is vertically arranged at the side position of the water tank, a light emitting part is assembled on one side wall of the water tank, light rays of the light emitting part face the water surface of the water tank, a photoelectric sensor is assembled on the side wall of the water tank opposite to the position of the light emitting part and used for receiving light signals scattered by water flow of the water tank and converting the light signals into electric signals, and a control unit is communicated with the first image pickup element, the second image pickup element and the photoelectric sensor. The shellfish capturing experimental device provided by the invention can accurately acquire the shellfish motion track, the turbidity of the water body and the morphological change of the topography in the scouring process, and provides a theoretical basis for actual use of the scoured shellfish capturing experimental device.

Description

Shellfish catching experimental device and detection method

Technical Field

The invention belongs to the technical field of shellfish collection and catching, and particularly relates to an improvement of a shellfish collection and catching experimental device.

Background

In mariculture products, shellfish occupies a significant position. At present, shellfish harvesting is mainly performed in three modes of manual harvesting, fishing by a fishing boat and mechanical shellfish suction. However, these traditional recovery methods expose some significant problems in the face of environmental protection and ecologically sustainable development. The fishing boat fishing can improve the harvesting efficiency to a certain extent, but depends on specific water area environmental conditions, such as flat water bottom and small stormy waves, which has higher environmental requirements. In addition, flexible fishing nets are easily deformed, affecting the effective harvesting of shellfish.

The mechanical suction mode has more serious ecological problems. The method can suck out large and small shellfish together without difference, destroy continuity of marine organism, and simultaneously lead to bringing out a large amount of sediment and impurities, and increase turbidity of water body. The method not only affects the transparency of the water body, but also changes the texture and appearance of the substrate, thereby causing the degradation of the ecological environment. The sucked shellfish is suspended in seawater, which increases the shellfish breakage rate and requires additional screening and filtering processes, further increasing cost and labor intensity.

In view of this, a scouring shellfish-picking method is proposed, in which shellfish is mainly washed out from shellfish buried in sand by scouring, suspended in water, and then picked and laid, and the shellfish damage is relatively small, but the scouring method needs further detection and research on the influence of shellfish motion and behavior, the influence of the scouring method on the change of the landform environment of the ocean circumference and the influence of the scouring method on the turbidity of the water body.

The above information disclosed in this background section is only for enhancement of understanding of the background section of the application and therefore it may not form the prior art that is already known to those of ordinary skill in the art.

Disclosure of Invention

Aiming at the technical problems, the invention provides the shellfish collecting and catching experimental device and the detection method, which not only can effectively measure the shellfish collecting mode of the scour shellfish, but also can accurately detect the motion track, the turbidity of the water body and the morphological change of the shellfish in the scouring process, thereby providing a theoretical basis for the actual use of the scour shellfish collecting.

In order to achieve the above-mentioned invention/design purpose, the invention adopts the following technical scheme to realize:

an experimental device for shellfish collection and catching, comprising:

the water tank is internally provided with a substrate layer and a water body layer in sequence from bottom to top, wherein the substrate layer comprises a clay layer and a sand layer, and shellfish are buried in the sand layer;

The flushing component is arranged outside the water tank and provided with a spray head, and the spray head faces the water tank and is used for flushing shellfish buried in the sandy soil layer;

a first image pickup element horizontally arranged at a position of a top of the water tank for picking up a proper video image from the top of the water tank downward;

A second image pickup element vertically arranged at a side position of the water tank for picking up a video image from the water tank side;

The photoelectric detection assembly comprises a light emitting component which is assembled on one side wall of the water tank and emits light rays towards the water surface of the water tank;

The photoelectric sensor is assembled on the side wall of the water tank opposite to the position of the light emitting component, and is used for receiving the light signals scattered by the water flow of the water tank and converting the light signals into electric signals;

and a control unit in communication with the first image pickup element, the second image pickup element, and the photoelectric sensor.

Compared with the prior art, the invention has the advantages and positive effects that:

According to the shellfish collecting experimental device provided by the invention, the water tank is arranged, and the substrate layer and the water body layer are arranged in the water tank, so that high simulation is realized, the scouring effect in a real tidal flat environment can be simulated, and the behavior mode of shellfish under natural conditions can be accurately restored.

The position, the motion track and the behavior of the shellfish in the scouring process can be monitored and acquired in real time by combining the control unit with the image acquisition equipment and the special edge detection algorithm of the shellfish image;

the turbidity detection method based on the optical scattering characteristics is introduced, and the fine detection of the turbidity of the water body in the high-turbidity environment is realized by combining the light scattering intensity and the gray extraction value of image processing to take a comparison mode. The system can capture and analyze the turbidity change of the water body in the experimental process in real time and provide feedback to record experimental parameters.

And the substrate change monitoring function is used for capturing the morphology change of the washed substrate texture in real time by utilizing a high-speed camera and a watershed segmentation algorithm of the substrate texture, so as to provide reliable data support for the topography research of the beach substrate.

Other features and advantages of the present invention will become apparent upon review of the detailed description of the invention in conjunction with the drawings.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

FIG. 1 is a schematic diagram of an embodiment of a shellfish collection experimental device according to the present invention;

Fig. 2 is a flow chart of a shellfish capturing experimental device for acquiring shellfish motion tracks, provided by the invention;

FIG. 3 is a flow chart of a shellfish capture experimental device provided by the invention for acquiring the turbidity of a water body through frame image gray scale;

FIG. 4 is a flow chart of the shellfish capturing experimental device provided by the invention for acquiring the turbidity of the water body through the cooperation of the illumination detection assembly;

fig. 5 is a flowchart of the shellfish capturing experimental device provided by the invention for obtaining the change of the texture of the substrate through the second image pickup element;

Fig. 6 is a flowchart of a shellfish capturing experimental device according to the present invention for obtaining a change in texture of a substrate through a first image capturing element;

Fig. 7 is a schematic structural diagram of an embodiment of a water tank of the shellfish collection experimental device according to the present invention.

In the figure, 100 parts of water tank, 110 parts of substrate layer, 111 parts of clay layer, 112 parts of sand layer, 120 parts of water body layer, 200 parts of scouring component, 210 parts of spray head, 220 parts of screw rod, 230 parts of fixing frame, 240 parts of water pipe, 300 parts of first image pickup element, 400 parts of second image pickup element, 510 parts of light emitting component, 520 parts of photoelectric sensor;

600. a baffle 610, a first groove body 620 and a second groove body.

Detailed Description

The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

In the description of the present invention, it should be understood that the terms "center," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," and the like indicate orientations or positional relationships based on the orientation or positional relationships shown in the drawings, merely to facilitate describing the present invention and simplify the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and thus should not be construed as limiting the present invention.

In the description of the present invention, it should be noted that the terms "mounted," "connected," and "coupled" are to be construed broadly, as well as, for example, fixedly coupled, detachably coupled, or integrally coupled, unless otherwise specifically indicated and defined. The specific meaning of the above terms in the present invention will be understood in specific cases by those of ordinary skill in the art. In the description of the embodiments, a particular feature, structure, material, or characteristic may be combined in any suitable manner in one or more embodiments or examples.

In some embodiments of the present application, a shellfish collection and catching experimental device is provided, which can be used to simulate an experimental device for washing shellfish in a sandy soil layer 112 of seawater, and provides a rapid shellfish collection and spreading mode, that is, shellfish buried in a substrate under water is washed out by flushing a washing nozzle 210, so that the shellfish is suspended in water, and the shellfish collection and catching is directly performed.

Damage to the shellfish and damage to the marine substrate topography can be reduced by flushing the shellfish from the substrate layer 110 and then harvesting.

The scouring experiment device is also provided with an imaging element, the high-speed imaging element is used for photographing and recording the scouring time period, and recording and analyzing the turbidity of the water body, the motion track of the shellfish and the change condition of the substrate, so as to detect and analyze the influence on the shellfish, the influence on the turbidity of the water body and the influence on the substrate when the shellfish is scoured, and provide theoretical guidance for the application and actual production of the shellfish scouring and collecting mode.

In some embodiments of the present application, the flush test apparatus includes:

the water tank 100 is characterized in that a substrate layer 110 and a water body layer 120 are sequentially arranged in the water tank 100 from bottom to top, the substrate layer 110 comprises a clay layer 111 and a sand layer 112, and shellfish is buried in the sand layer 112.

The soil layer 111 and the sandy soil layer 112 are laid in this order from the bottom up along the height direction of the trough 100.

The water body layer 120 is located above the sandy soil layer 112, the water body layer 120 is sea water, and the shellfish is mainly buried in the sandy soil layer 112.

The water tank 100 may be selected from water tanks 100 having an aspect ratio of 8:1.

The effect of truly simulating the natural beach environment is achieved by the substrate layer 110 and the water layer 120 laid inside the water tank 100.

A flushing part 200 which is installed outside the water tank 100 and is provided with a nozzle 210, wherein the nozzle 210 faces the water tank 100 and is used for flushing shellfish buried in the sand layer 112.

In some embodiments of the present application, the flushing part 200 includes a water pipe 240, the spray head 210 is connected to an end of the water pipe 240, a fixing frame 230 and a screw 220 screw-fitted into the fixing frame 230 are provided above the spray head 210, and an end of the screw 220 is connected to the water pipe 240.

When connected, the end of the screw 220 can be clamped on the water pipe 240 through the clamp.

By adjusting the height of the screw 220 up and down, the position of the water pipe 240 can be adjusted, and the spray angle of the spray head 210 can be adjusted.

In the course of the flushing experiment, the flushing effect can be observed by adjusting different positions of the nozzle 210.

The angle of the spray head 210 can be flexibly adjusted, so that the scouring radius can be effectively increased and the scouring efficiency can be improved when the shellfish is scoured.

In some embodiments, a flow control valve is disposed on the water pipe 240, and the flow control valve is adjusted to change the water jet speed of the spray head 210, so as to observe the shellfish scouring effect caused by different water jet speeds, so as to provide a basis for shellfish actual scouring and paving.

The first image pickup element 300 is horizontally disposed at a top position of the water tub 100 for photographing a video image from the top of the water tub 100 downward.

The first image pickup element 300 is a first camera, disposed at a top position of the water tank 100, for capturing and recording image information in real time from the top to the water tank 100 with high accuracy.

The second image pickup element 400 is vertically arranged at a side position of the water tank 100 for capturing a video image from the side of the water tank 100.

The second image pickup element 400 is a second camera, which is disposed at a position outside the water tank 100, for photographing and recording image information in the corresponding water tank 100 at the side portion in real time with high accuracy.

A photodetection unit including a light emitting member 510 mounted on one side wall of the water tank 100, which emits light toward the water surface of the water tank 100;

The photoelectric sensor 520 is mounted on a side wall of the water tank 100 opposite to the light emitting part 510, and is used for receiving the light signal scattered by the water layer of the water tank 100, converting the light signal into an electrical signal, and outputting the electrical signal.

The photoelectric detection component is mainly used for detecting the turbidity of the water body layer.

The light emitting member 510 may be a member that emits light such as a lamp bead.

The emitted light is directed toward the water layer, and after entering the water layer, the light is scattered in the water layer, and the scattered light is received by the photoelectric sensor 520.

When the intensity of the light signal received by the photosensor 520, that is, the light intensity signal, is different in turbidity of the water body, the corresponding value is different. The value of the light intensity signal may be represented by the magnitude of the electrical signal value it converts.

When the turbidity of the water body layer is high, the light emitted by the light emitting component 510 is scattered more strongly when passing through the water body layer, and the light intensity signal value received by the photoelectric sensor 520 is small.

When the turbidity of the water body layer is small, the light emitted by the light emitting component 510 is scattered weaker when passing through the water body layer, and the light intensity signal received by the photoelectric sensor 520 is larger.

The change of the turbidity of the water body can be determined according to the change of the light intensity signal received by the photoelectric sensor 520.

And a control unit that communicates with the first image pickup element 300, the second image pickup element 400, and the photoelectric sensor 520.

The control unit communicates with the first image pickup device 300 and the second image pickup device 400, and is operable to acquire video images of the first image pickup device 300 and the second image pickup device 400 in real time.

On one hand, the motion path and the behavior mode of the shellfish in the process of flushing the shellfish can be intuitively observed through videos, so that researchers can be helped to analyze the ecological response of the shellfish in the process of flushing.

The rough change condition of the turbidity of the water body in the process of flushing the shellfish can be intuitively observed through the video, and the influence condition on the water body is also observed;

the visual effect of the change of the texture of the substrate penetrating to the substrate layer 110 can be roughly and intuitively achieved through the video, and the influence is exerted on the substrate layer 110.

On the other hand, the control unit is in communication with the first image capturing element 300 and the second image capturing element 400, and can also obtain accurate motion trails of shellfish, accurate change conditions of turbidity of the water body and accurate change conditions of the substrate layer 110 through processing and analyzing the video images obtained from the first image capturing element 300 and the second image capturing element 400, so that a more accurate analysis result is provided for scouring the influence of shellfish capturing on shellfish, the water body layer 120 and the substrate layer 110.

In some embodiments of the present application, a detachable longitudinal partition 600 is provided in the water tank, and the water tank is partitioned into a first tank body 610 and a second tank body 620 by the longitudinal partition 600, and the first tank body 610 and the second tank body 620 have different widths.

When the partition 600 is installed in the water tank, the water tank is divided into a first tank body 610 and a second tank body 620;

dividing the water tank with original width into two tank bodies with different widths.

Baffle 600 can dismantle, and after baffle 600 dismantles, the basin width is widest, through the installation or dismantlement of baffle 600, can make the basin form the cell body of three kind different width, and each cell body can all be used for alone to wash away the experiment, and baffle 600 sets up can realize carrying out shellfish under the cell body under three kind different width and wash away the experiment analysis of the change condition of shellfish washing height, turbidity change and substrate topography to rivers, has realized the simulation to the experimental environment of catching of the mud flat of multiple difference.

In some embodiments of the present application, a method for acquiring a motion track of a shellfish by using the shellfish capture experimental device is provided, including the following steps:

Step 1, acquiring videos before and after shellfish flushing and in the flushing process by using a second camera element 400;

The video recordings before, after and during the shellfish flushing can be obtained by the real-time recording of the second image pickup element 400.

And 2, dividing the video into a plurality of continuous frame images at different moments based on the acquired video.

The video segmentation can be realized through a frame decomposition technology, the function of extracting the frame picture can be realized by using some script commands in a video processing library, and a plurality of continuous frame images correspond to different moments of the video.

Step 3, preprocessing a plurality of continuous frame images;

the preprocessing of the frame image may include removing background noise, image enhancement, and the like.

And 4, processing the preprocessed multiple frame images by using a Canny edge algorithm, obtaining the shellfish outline and marking the shellfish outline.

And respectively processing a plurality of frame images corresponding to a plurality of different moments by using a Canny mud flat shellfish edge detection algorithm so as to acquire and mark corresponding shellfish edge contours in the plurality of frame images.

The Canny edge algorithm is an existing algorithm structure and is not described in detail herein.

And 5, establishing a coordinate system for each frame of image according to the same reference point, determining the barycenter coordinates of the shellfish outline in each frame of image, connecting and drawing a motion track curve of the shellfish in the height direction by the shellfish outline barycenter coordinates corresponding to a plurality of frames of images, and judging the influence condition of the scour and capture shellfish on the motion form of the shellfish according to the shellfish motion track curve.

The coordinate system is built by the plurality of frame images according to the same reference point, so that shellfish in the plurality of frame images can be ensured to be positioned in the same coordinate system.

When the reference point is selected, the left small angle of each frame image can be selected as an origin coordinate, and a coordinate system is established.

After the coordinate system is established, the barycenter coordinates of the shellfish in the frame image can be obtained.

And carrying out data drawing on the barycenter coordinates of the shellfish contours on a plurality of groups of frame images of the video data to obtain a motion track curve of shellfish in the height direction against the change of the flushing time.

The motion trail of the shellfish before and after scouring and the motion trail of the shellfish during scouring can be observed through the motion trail curve of the shellfish in the height direction, and the influence conditions of the shellfish behavior mode and the motion state during scouring are observed through the maximum floating height and other parameters during scouring, so that researchers are helped to analyze the ecological response of the shellfish during scouring.

When in use, the flow speed and the angle of the spray head 210 can be reasonably adjusted to respectively form a plurality of shellfish motion track curves in the height direction so as to distinguish the influence conditions of different spray angles and flow speeds on shellfish behavior patterns and motion paths, find suitable optimal spray angles and flow speeds and provide theoretical guidance for actual shellfish picking and laying.

In some embodiments of the present application, a method for acquiring turbidity of a water body by using the shellfish capture experimental device is provided, including the following steps:

The preset water turbidity levels are N levels respectively, and each level corresponds to a turbidity value interval;

acquiring videos before, during and after flushing by the second image pickup element 400;

Dividing the video into a plurality of successive frame images at different moments in time can be achieved by frame division techniques.

The preprocessing of the frame images includes noise reduction, image enhancement, and the like.

The image is processed by a watershed algorithm to segment the substrate layer 110 and the water layer 120.

The watershed algorithm is an existing algorithm, and is used for processing a plurality of preprocessed frame images so as to separate a water body layer and a substrate layer 110 in the frame images, and further distinguish a water body region corresponding to the water body layer and a substrate region corresponding to the substrate layer 110.

Acquiring gray values of a water body layer corresponding to a plurality of frame images;

And obtaining turbidity levels respectively corresponding to the frame images by comparing the turbidity discrimination values with the sections corresponding to the turbidity levels, respectively obtaining the turbidity levels of the frame images according to the modes, and drawing a first water turbidity change curve according to the turbidity levels and the moments of the frame images corresponding to the levels.

The turbidity level of the water body is set to be N level, and N is more than or equal to 2 natural numbers.

For convenience of description, let n=10, i.e. the turbidity of the water body is divided into 10 stages.

Each level corresponds to a range of values.

Grade 1, grade 2, grade 3.

Before scouring, the water turbidity level is 1 level, and the water turbidity level corresponding to the maximum gray value is 10 level.

The turbidity level of the water body between 1 level and 10 levels can be obtained by multiplying the product of the quotient of the gray value and the maximum gray value in the frame image and the number of the turbidity levels.

If the gray value at the water layer of one frame image is a, and the maximum gray value of the water layers in the plurality of frame images is C, the turbidity discrimination value B of the water layer of the frame image with the gray value a is:

B=A/Cx 10, and according to the comparison of the magnitude of the B value and the intervals corresponding to the chaos degree grades of a plurality of water bodies, the water body turbidity grade corresponding to the frame image with the gray level of A can be correspondingly judged when the B falls into the interval range of which grade.

After the turbidity levels of the water body layers of the plurality of frame images are calculated according to the mode, the turbidity levels of the water body layers corresponding to the plurality of frame images, which change along with time, can be obtained.

And drawing a turbidity change curve of the water body changing along with the scouring time according to the turbidity levels of the water body layers of the plurality of frame images and the corresponding moments, so that researchers can intuitively observe the influence on the turbidity of the water body in the scouring experiment process.

In order to ensure the accurate detection of the turbidity of the water body layer, the scouring experiment device is further provided with a photoelectric detection component for further detecting the turbidity of the water body.

Acquiring a plurality of light intensity signals scattered by the water body layer at different moments by utilizing the photoelectric sensor 520;

Obtaining a turbidity judgment value by multiplying the minimum light intensity signal in the plurality of light intensity signals by any light intensity signal as a quotient and obtaining the total quantity of the quotient and the turbidity level, obtaining the turbidity level corresponding to the light intensity signal by comparing the turbidity judgment value with the interval corresponding to the plurality of turbidity levels, and sequentially calculating the turbidity levels corresponding to the plurality of light intensity signals according to the mode;

drawing a second water turbidity change curve according to the turbidity levels and corresponding moments;

let the minimum light intensity signal be G, one of the scattered light intensity signals be E, the turbidity determination value corresponding to the light intensity signal be F, F being:

F=G/Ex10。

And comparing the calculated value of F with interval values of a plurality of turbidity levels to obtain a corresponding turbidity level.

And sequentially calculating the turbidity levels corresponding to the light intensity signals according to the mode.

And drawing a second water turbidity change curve which changes along with time according to the corresponding time of the light intensity signals and the turbidity level.

The change condition of the turbidity of the water body in the scouring experiment process can be clearly observed through the second turbidity change curve of the water body.

In order to ensure accurate judgment of the water turbidity, the water turbidity condition is comprehensively judged by combining the first water turbidity curve and the second water turbidity curve when the water turbidity is judged.

For example, when the first water turbidity curve and the second water turbidity curve correspondingly displayed at the first moment show that the water turbidity is at a certain level, the water turbidity is indicated to be at the level.

If the turbidity levels of the first water turbidity curve and the second water turbidity curve are different at the same moment, acquiring a gray value corresponding to the moment and a turbidity judgment value corresponding to the gray value, acquiring a light intensity value corresponding to the moment and a turbidity judgment value corresponding to the light intensity value, taking the average value of the two values, and judging the turbidity level according to the average value.

Taking the time T1 as an example, at the time T1, the corresponding frame image is the second frame image of the plurality of continuous frame images, and at the moment, the gray value of the water body layer at the time T1 can be extracted and the corresponding turbidity judgment value can be obtained through calculation in the mode;

Meanwhile, the light intensity signal corresponding to the time T1 can be obtained, and the turbidity judgment value corresponding to the light intensity signal is correspondingly calculated through the light intensity signal.

The turbidity level is determined from the turbidity determination value and an average of the turbidity determination values.

The obtained turbidity determination value is A, the obtained turbidity determination value is B, the average value is A+B/2, and the turbidity level is further determined according to the result that the value belongs to which section of the turbidity level.

In some embodiments of the present application, a method for acquiring texture of a substrate by using the shellfish capture experimental device is provided, and video before and after shellfish flushing and during flushing is acquired by using the second image pickup element 400;

dividing the video into a plurality of continuous frame images at different moments based on the acquired video;

The image preprocessing includes noise reduction, image enhancement, etc.

Processing the image through a watershed algorithm to divide a substrate layer 110 and a water body layer;

The image outline of the substrate layer 110 is marked. The plurality of frame images are segmented by a watershed algorithm, and image contours of the substrate layer 110 in the plurality of frame images are acquired and marked.

And establishing a coordinate system for each frame of image according to the same reference point, recording the highest point coordinate value of the image outline of the substrate layer 110 of each frame of image, and drawing a substrate relief change curve according to the highest point values of the substrate layers 110 of a plurality of frames of images.

The reference point may be a lower left corner origin position of the plurality of frame images.

The highest point of the image outline of the substrate layer 110 in the plurality of frame images is marked, so that the height change condition of the substrate layer 110 in the scouring process can be intuitively observed, and the influence of the scouring shellfish on the substrate layer 110 can be intuitively known.

Collecting videos before and after shellfish flushing and in the flushing process by using a first image pickup element 300;

the first image pickup element 300 picks up a video image from the top down.

The video is divided into a plurality of continuous frame images corresponding to different moments, and the continuous frame images are preprocessed, wherein the preprocessing comprises noise reduction, image enhancement and the like.

The OpenCV algorithm is used to detect and identify closed boundaries in the frame image and extract the pothole area outline,

And calculating the area of the hollow area according to the ratio of the number of pixels of the outline of the hollow area to the number of pixels in the whole frame image.

The OpenCV algorithm is an existing algorithm, and can directly obtain the outline of a pothole area after processing a frame image.

The ratio of the number of pixels of the outline of the hollow area to the number of pixels in the whole frame image can also be directly obtained through an OpenCV algorithm.

The influence of scouring on the topography of the substrate layer 110 can be obtained through the change of the area of the hollow area.

In the experimental device in the embodiment, through arranging the water tank 100 and arranging the substrate layer 110 and the water body layer in the water tank, the high simulation is realized, the scouring effect in the real tidal flat environment can be simulated, and the behavior mode of the shellfish under the natural condition can be accurately restored.

The terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature.

In the description of the present invention, unless otherwise indicated, the meaning of "a plurality" is two or more.

The above embodiments are only for illustrating the technical solution of the present invention, but not for limiting the same, and although the present invention has been described in detail with reference to the above embodiments, it will be apparent to those skilled in the art that modifications may be made to the technical solution described in the above embodiments or equivalents may be substituted for some of the technical features thereof, and the modifications or substitutions do not depart from the spirit and scope of the technical solution as claimed in the present invention.

Claims

1. A detection method based on shellfish capture experimental device, shellfish capture experimental device includes:

The photoelectric detection assembly comprises a light emitting component which is assembled on one side wall of the water tank and emits light rays towards the water body layer of the water tank;

a control unit in communication with the first imaging element, the second imaging element, and the photosensor, characterized in that,

The detection method comprises a method for detecting the motion trail of the shellfish, and comprises the following steps:

step 1, acquiring videos before and after shellfish flushing and in the flushing process by using a second camera element;

step 2, dividing the video into a plurality of continuous frame images at different moments based on the collected video;

Step 3, preprocessing a plurality of continuous frame images;

Step 4, processing the preprocessed multiple frame images by using a Canny edge algorithm, obtaining the shellfish outline and marking;

establishing a coordinate system for each frame of image according to the same reference point, determining the barycenter coordinates of the shellfish outline in each frame of image, connecting and drawing a motion track curve of the shellfish in the height direction by the shellfish outline barycenter coordinates corresponding to a plurality of frames of images, and judging the influence condition of the scour and capture shellfish on the motion form of the shellfish according to the shellfish motion track curve;

the detection method also comprises a method for detecting the turbidity of the water body, and comprises the following steps:

Presetting a water turbidity level N, wherein each level corresponds to a turbidity value interval;

acquiring videos before, during and after flushing through a second image pickup element;

dividing the video into a plurality of continuous frame images at different moments;

Preprocessing a plurality of frame images;

processing the image through a watershed algorithm to divide a substrate layer and a water body layer;

Each frame of image obtains the turbidity level of the water quality layer of each frame of image through the corresponding gray value, the maximum gray value in the gray values of the frames of images and the turbidity level number;

drawing a first water turbidity change curve according to a plurality of turbidity levels and the moments of frame images corresponding to the levels;

acquiring a plurality of light intensity signals scattered by a water body layer at different moments by utilizing a photoelectric sensor;

Each light intensity signal obtains a turbidity level corresponding to the light intensity signal through a light intensity value of the light intensity signal, a minimum light intensity signal value in a plurality of light intensity signals and a turbidity level number;

And drawing a second water turbidity change curve according to the plurality of turbidity levels and corresponding moments, and judging the water turbidity condition by combining the first water turbidity curve and the second water turbidity curve.

2. The method for detecting the shellfish collection experimental device according to claim 1, further comprising a method for detecting the texture and appearance of the substrate, comprising the following steps:

collecting videos before and after shellfish flushing and in the flushing process by using a second camera element;

Preprocessing a plurality of continuous frame images;

Marking the image outline of the substrate layer;

And establishing a coordinate system for each frame of image according to the same reference point, recording the highest point coordinate value of the image outline of the substrate layer of each frame of image, and drawing a substrate relief change curve according to the highest point value of the substrate layers of a plurality of frames of images.

3. The method for detecting the shellfish collection experiment device according to claim 2, further comprising the steps of:

collecting videos before and after shellfish flushing and in the flushing process by using a first camera element;

Dividing the video into a plurality of successive frame images;

Preprocessing a plurality of continuous frame images;

And calculating the area of the hollow area according to the ratio of the number of pixels of the outline of the hollow area to the number of pixels in the whole auxiliary frame image.