An image-based underwater organism particle parameter acquisition device and acquisition method

Abstract

The application discloses an underwater organism particle parameter acquisition device and method based on images, and belongs to the technical field of water body organism monitoring. The device comprises an acquisition cabin, a buoyant suspended light source, a camera group and a sensor group arranged on the acquisition cabin. The light source is suspended in front of the camera group to form an illumination area after entering water. The camera group is used for real-time shooting, and the sensor group is used for collecting temperature, salinity and pressure values. The method comprises the following steps: the acquisition cabin is suspended in water, the suspended light source forms an illumination area, the camera group shoots the illumination area to obtain image information, and the sensor group monitors the temperature, salinity and pressure values of the water layer where the illumination area is located. The suspended light source, the camera group and the sensor group cooperate with each other to monitor the information of different particle size organism particles in water in real time, can continuously collect the characteristic information of the organism particles in a nondestructive manner, and is convenient for being placed through an ice hole in the polar region, and can help to make up for the deficiency of in-situ collection in the fields of oceans and polar regions.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of water body biological monitoring, in particular to an underwater biological particle parameter acquisition device and method based on images. BACKGROUND

[0002] In the polar ocean, biological particles (such as algae, zooplankton fecal particles, fish eggs and sea snow, etc.) with a particle size of 20 μm to 50 mm have the characteristics of low turnover rate and high total amount of organisms, and are the key components of the formation of ocean material flux. The volume, abundance and density of these biological particles are of great significance to the evaluation of ocean carbon cycle. In the water sampling method known to the inventors, biological particles with a particle size of 5 μm to 50 mm in the water column (unit volume of water) are mainly captured and transported to the experimental site for measurement to obtain the volume, abundance and density of the biological particles in the water column. However, since these biological particles are mostly in the form of colloidal aggregates (such as "sea snow"), the capture, transportation and measurement process can easily disturb and damage the colloidal aggregates, and it is also difficult to determine the location and time of generation and sedimentation of biological particles of different particle sizes in the water body, which requires long-term in-situ observation. However, there is currently no effective in-situ observation equipment. SUMMARY

[0003] The purpose of the present application is to solve the above technical problems, and to provide an underwater biological particle parameter acquisition device and method based on images. The acquisition cabin is suspended in the water body, and the suspended light source, camera group and sensor group cooperate with each other to realize real-time monitoring and acquisition of information of biological particles of different particle sizes in the water body, and to realize continuous in-situ observation and acquisition of the aggregates formed by the biological particles in a non-destructive manner, which helps to improve the polar ocean environmental monitoring capability and make up for the deficiency of in-situ observation in the water body.

[0004] To achieve the above purpose, the present application provides the following scheme: the present application discloses an underwater biological particle parameter acquisition device based on images, comprising an acquisition cabin for suspension in the water body, wherein a suspended light source, a camera group and a sensor group are arranged on the acquisition cabin, the suspended light source is used to form an illumination area, the camera group is used to take real-time photos of the illumination area, and the sensor group is used to acquire temperature, salinity and pressure values of the water layer where the illumination area is located.

[0005] Preferably, the camera group comprises a macro camera group and a wide-angle camera group, the macro camera group and the wide-angle camera group are located inside the acquisition cabin, a first waterproof lens and a second waterproof lens are arranged on the side wall of the acquisition cabin, the first waterproof lens corresponds to the wide-angle camera group, and the second waterproof lens corresponds to the macro camera group.

[0006] Preferably, the collecting cabin is a trapezoidal frustum structure, and an upper bottom wall surface of the trapezoidal frustum structure is a side wall provided with the first waterproof lens and the second waterproof lens.

[0007] Preferably, the sensor group comprises a temperature sensor, a salinity sensor and a pressure sensor.

[0008] Preferably, the floating light source comprises a rotating frame and a lighting lamp, the rotating frame comprises a first rotating rod group and a second rotating rod group, the first rotating rod group comprises two first rotating rods arranged on two sides of the first waterproof lens, the second rotating rod group comprises two second rotating rods arranged on two sides of the second waterproof lens, a first end of the first rotating rod and a first end of the second rotating rod are rotationally connected to an outer wall of the collecting cabin through a transverse rotating shaft, and a tail end of the first rotating rod and a tail end of the second rotating rod are provided with a buoyancy body and the lighting lamp.

[0009] Preferably, the first rotating rod and the second rotating rod each comprise a connecting rod and a threaded sleeve, a first end of the connecting rod is provided with the transverse rotating shaft, a tail end of the connecting rod is provided with a threaded section, a first end of the threaded sleeve is threadedly connected to the threaded section, and a tail end of the threaded sleeve is provided with the buoyancy body and the lighting lamp.

[0010] Preferably, the collecting cabin is further provided with a controller and a storage battery, the controller is provided with a data analysis program, the camera group, the floating light source and the camera group are electrically connected to the controller, and the storage battery supplies power to the controller, the floating light source, the camera group and the sensor group.

[0011] Also disclosed is an underwater biological particle parameter collecting method based on images, which adopts the above-mentioned underwater biological particle parameter collecting device based on images, and comprises the following steps.

[0012] The collecting cabin is suspended in a water body, a light illumination area is formed by the floating light source, the camera group performs real-time shooting on the light illumination area to obtain image information, and the sensor group monitors temperature, salinity and pressure values of a water layer where the light illumination area is located.

[0013] Preferably, the method further comprises the following steps: obtaining a volume, an abundance and a falling speed of biological particles in the light illumination area according to the analysis of the image information, obtaining a water density and a water layer depth according to the analysis of the temperature, salinity and pressure values, and obtaining a density of a target particle body according to the falling speed, the volume and the water density of the target particle body.

[0014] Preferably, the water density is calculated according to a marine state equation, the volume and the abundance of the biological particles are obtained according to a neural network analysis method, the density of the biological particles is calculated and obtained according to a Stokes equation, and the abundance is calculated according to the number of particulate matters in the light illumination area and the range of the light illumination area.

[0015] The present application has the following technical effects relative to the prior art:

[0016] In the present application, the collection cabin is suspended in the water body, and the information of the lighted area formed by the suspended light source is collected by the camera group and the sensor group, so that the water body information and the information of different particle size biological particles in the water body can be collected in real time, in-situ observation and collection are realized, the target biological particles do not need to be collected, so that the disturbance to the aggregates formed by the biological particles is avoided, and the position and time of the biological particles in the water body generation and settlement can be known under the long-term in-situ observation, which is helpful to improve the polar ocean environment monitoring capability and make up for the deficiency of in-situ collection of the water body in the marine and polar fields. BRIEF DESCRIPTION OF DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed in the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present application, and those skilled in the art can also obtain other drawings according to these drawings without creative labor.

[0018] Figure 1 It is a perspective view of the structure of the underwater biological particle parameter collection device based on images in the embodiment (the buoyancy body is not suspended).

[0019] Figure 2 It is a front view of the structure of the underwater biological particle parameter collection device based on images in the embodiment (the buoyancy body is not suspended).

[0020] Figure 3 It is a side view of the structure of the underwater biological particle parameter collection device based on images in the embodiment (the buoyancy body is not suspended).

[0021] Figure 4 It is a top view of the structure of the underwater biological particle parameter collection device based on images in the embodiment (the buoyancy body is not suspended).

[0022] Figure 5 It is a perspective view of the structure of the underwater biological particle parameter collection device based on images in the embodiment (the buoyancy body is not suspended).

[0023] Figure 6 It is a top view of the structure of the underwater biological particle parameter collection device based on images in the embodiment (the buoyancy body is not suspended).

[0024] Explanation of reference numerals in the attached drawings: 1. Acquisition chamber; 2. Wide-angle camera group; 3. Macro camera group; 4. Data and charging interface; 5. Threaded sleeve; 6. Connecting rod; 7. Illumination lamp; 8. Buoyancy body; 9. Battery; 10. Controller; 11. First waterproof lens; 12. Second waterproof lens; 13. Sensor group; 14. Fixing bolt; 15. Cable. Detailed Implementation

[0025] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments analyzed and obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0026] Example 1

[0027] This embodiment provides an image-based underwater biological particle parameter acquisition device, such as... Figures 1 to 6 As shown, the system includes a data collection chamber 1, which is suspended in water, such as by being lowered into the water under the pull of a cable 15 or a connecting frame. The data collection chamber 1 is equipped with a suspended light source, a camera assembly, a controller 10, and a sensor assembly 13. The suspended light source is used to create an illuminated area in the water. The camera assembly is used to capture real-time images of the illuminated area. The sensor assembly 13 is used to collect the temperature, salinity, and pressure values ​​of the water layer containing the illuminated area.

[0028] Working principle:

[0029] The acquisition chamber 1 is submerged in the water. The suspended light source, camera group, and sensor group 13 are activated. The suspended light source creates an illuminated area, and the sensor group 13 monitors the temperature, salinity, and pressure values ​​of the water layer within that area. The pressure value determines the water depth. Based on the monitored depth, the position of the acquisition chamber 1 can be adjusted to suspend it at a specific depth. The camera group captures real-time images of the illuminated area, enabling in-situ information acquisition and observation within the water. Subsequent image processing analyzes the captured images to determine the volume, abundance, and descent rate of biological particles within the illuminated area. Combined with the temperature, salinity, and pressure values, the density of the biological particles can be calculated, and the location and time of their formation and settling in the water can be determined. The specific calculation methods for the volume, abundance, and density of the biological particles are described in Example 2, which discloses an image-based underwater biological particle parameter acquisition method.

[0030] In one implementation, such as Figures 1 to 6As shown, the camera group includes a wide-angle camera group 2 and a macro camera group 3. The camera field of view and lens magnification of the wide-angle camera group 2 and the macro camera group 3 are matched with the observed biological particle size. The wide-angle camera group 2 is mainly used to shoot biological particle images with a particle size of 5mm-50mm, and the macro camera group 3 is mainly used to shoot biological particle images with a particle size of 0.2mm-5mm. The macro camera group 3 and the wide-angle camera group 2 are located inside the collection cabin 1, and the first waterproof lens 11 and the second waterproof lens 12 are arranged on the side wall of the collection cabin 1 (this side wall is defined as the front wall surface). The first waterproof lens 11 corresponds to the wide-angle camera group 2, and the second waterproof lens 12 corresponds to the macro camera group 3. The macro camera group 3 and the wide-angle camera group 2 are located inside the collection cabin 1, which can avoid damage to the macro camera group 3 and the wide-angle camera group 2 caused by water pressure and aquatic organisms, and through the first waterproof lens 11 and the second waterproof lens 12, the macro camera group 3 and the wide-angle camera group 2 can shoot the external light area. The first waterproof lens 11 and the second waterproof lens 12 can use high-pressure-resistant, impact-resistant, and high-transmittance glass. The wide-angle camera group 2 is recommended to use a 35mm fixed-focus lens with an aperture of F8 and a digital camera with a resolution of ≥1000 million pixels. The macro camera group 3 is recommended to use a 16mm fixed-focus lens with an aperture of F5.6 and a digital camera with a resolution of ≥500 million pixels. The brightness of the supporting light source of the wide-angle camera group 2 and the macro camera group 3 needs to be ≥20000Lux.

[0031] In an embodiment, as shown in Figures 1 to 6 The above-mentioned digital camera can use a CCD or CMOS camera, of course, it does not mean that only a CCD or CMOS camera can be used, and other types of cameras can be selected as needed.

[0032] In an embodiment, as shown in Figures 1 to 6 The collection cabin 1 is a trapezoidal frustum structure, the upper base wall surface of the trapezoidal frustum structure is the side wall provided with the first waterproof lens 11 and the second waterproof lens 12 (i.e. the front wall surface of the collection cabin 1), and the first waterproof lens 11 and the second waterproof lens 12 are arranged along the length direction of the upper base wall surface. That is, when entering the water, one of the waist surfaces of the trapezoidal frustum structure (i.e. the bottom wall surface of the collection cabin 1) is first submerged downward, and then the upper base wall surface (the front wall surface of the collection cabin 1) and the lower base wall surface (the rear wall surface of the collection cabin 1) are gradually submerged, that is, the front wall surface and the rear wall surface of the collection cabin 1 are parallel to the sinking direction, and finally the other waist surface (i.e. the top wall surface of the collection cabin 1) is upward, because the thickness of the waist surface (the bottom wall surface of the collection cabin 1) of the trapezoidal frustum structure gradually increases when entering the water, so that the collection cabin 1 can pass through the ice-water interface without being stuck in the ice cave by broken ice.

[0033] In an embodiment, as shown in Figures 1 to 6As shown, the sensor group 13 includes a temperature sensor, a salinity sensor and a pressure sensor, the main bodies of which are located in the collection cabin 1, only the probe heads extend out through the openings on the collection cabin 1, which is conducive to avoiding damage to the main bodies of the temperature sensor, the salinity sensor and the pressure sensor caused by high water pressure or organisms in the water. The probe heads and the openings on the collection cabin 1 are sealed to prevent external water from entering the collection cabin 1. The temperature sensor, the salinity sensor and the pressure sensor are arranged at positions which can be adjusted as required, and are preferably arranged at the bottom of the collection cabin 1, and if the collection cabin 1 has a trapezoidal frustum structure, the temperature sensor, the salinity sensor and the pressure sensor are arranged at the waist surface end which enters the water first (i.e. the bottom wall surface of the collection cabin 1).

[0034] In an embodiment, as Figures 1 to 6As shown, the floating light source comprises a rotating frame and a lighting lamp 7, the rotating frame comprises a first rotating rod group and a second rotating rod group, the second rotating rod group is located below the first rotating rod group. The first rotating rod group comprises two first rotating rods, the two first rotating rods are arranged on the left and right sides of the first waterproof lens 11, such as being arranged on the left and right side walls of the collection cabin 1. The second rotating rod group comprises two second rotating rods, the two second rotating rods are arranged on the left and right sides of the second waterproof lens 12, such as being arranged on the left and right side walls of the collection cabin 1. The first end of the first rotating rod and the first end of the second rotating rod are rotatably connected to the outer wall of the collection cabin 1 through a transverse rotating shaft, and the tail end of the first rotating rod and the tail end of the second rotating rod are provided with the lighting lamp 7 and the buoyancy body 8, which can make the first rotating rod and the second rotating rod rotate up and down under the action of the buoyancy body 8, so that the lighting lamp 7 of the first rotating rod is located in front of the wide-angle camera group 2, and the lighting lamp 7 of the second rotating rod is located in front of the macro camera group 3. The length of the first rotating rod and the length of the second rotating rod are pre-set, the lighting area formed by the lighting lamp 7 on the first rotating rod needs to be within the maximum and minimum shooting range of the wide-angle camera group 2, and the lighting area formed by the lighting lamp 7 on the second rotating rod needs to be within the maximum and minimum shooting range of the macro camera group 3. The transverse rotating shafts of the two first rotating rods are coaxial, and the wide-angle camera group 2 is located on the axis of the transverse rotating shafts of the two first rotating rods. The transverse rotating shafts of the two second rotating rods are coaxial, and the macro camera group 3 is located on the axis of the transverse rotating shafts of the two second rotating rods. The transverse rotating shafts are provided with limiters, so that the first rotating rod and the second rotating rod can only rotate 90° forward (in front of the front wall of the collection cabin 1) from the vertical downward position, and cannot rotate backward (behind the rear wall of the collection cabin 1), so that the first rotating rod is located in front of the wide-angle camera group 2 under the action of the buoyancy body 8, and the second rotating rod is located in front of the macro camera group 3 under the action of the buoyancy body 8. The floating light source is usually kept in a drooping state (the first rotating rod and the second rotating rod are kept naturally drooping) before entering the water, which is beneficial to passing through the ice cave when it is deployed in the polar ocean, and after passing through the ice cave and crossing the ice-water interface, the floating light source moves to the front of the lens under the buoyancy of the buoyancy body 8 (the first rotating rod and the second rotating rod rotate 90° forward and keep horizontal state).

[0035] In an embodiment, as shown in Figures 1 to 6 The first rotating rod and the second rotating rod each comprise a threaded sleeve 5 and a connecting rod 6, the first end of the connecting rod 6 is provided with a transverse rotating shaft, the tail end of the connecting rod 6 is provided with a threaded section, the first end of the threaded sleeve 5 is threadedly connected to the threaded section, and the tail end of the threaded sleeve 5 is provided with the lighting lamp 7 and the buoyancy body 8. By rotating the threaded sleeve 5, the length of the first rotating rod and the second rotating rod can be adjusted, that is, the distance between the lighting lamp 7 and the buoyancy body 8 and the collection cabin 1 can be adjusted.

[0036] In an embodiment, as shown in Figures 1 to 6As shown, the illumination lamp 7 can adopt a rectangular lamp panel. One illumination lamp 7 is arranged on each of the two first rotating rods, and the illumination lamps 7 on the two first rotating rods are arranged oppositely. One illumination lamp 7 is arranged on each of the two second rotating rods, and the illumination lamps 7 on the two second rotating rods are arranged oppositely.

[0037] In an embodiment, as shown in the figure, Figures 1 to 6 the rectangular lamp panel comprises a rectangular base plate and LED lamps arranged in an array on the rectangular base plate. The illumination lamp 7 is watertight.

[0038] In an embodiment, as shown in the figure, Figures 1 to 6 the collection cabin 1 is further provided with a controller 10 and a storage battery 9, the controller 10 is provided with a data analysis program, the camera group, the floating light source and the sensor group 13 are electrically connected with the controller 10. The controller 10 can directly process and calculate the obtained information, and analyze the volume, abundance and density of the biological particles in the illumination area. The storage battery 9 supplies power to the controller 10, the floating light source, the camera group and the sensor group 13.

[0039] In an embodiment, as shown in the figure, Figures 1 to 6 the controller 10 is further provided with a remote signal transmission device, which is used to return the detection results and calculation results to the central control device.

[0040] In an embodiment, as shown in the figure, Figures 1 to 6 the collection cabin 1 is not provided with the controller 10, and the remote signal transmission device can be directly arranged in the collection cabin 1 to return the collected data to the central control device for direct analysis and calculation.

[0041] In an embodiment, as shown in the figure, Figures 1 to 6 the storage battery 9 can be connected to a solar photovoltaic panel for charging. The solar photovoltaic panel can be arranged outside the water body, such as directly on the ice surface if there is ice, or on a floating block floating on the water surface if there is no ice.

[0042] In an embodiment, as shown in the figure, Figures 1 to 6 the top of the collection cabin 1 is further provided with a data and charging interface 4, which is used to charge the storage battery 9 and can also communicate with the controller 10 to transmit the collected images, measurement data and calculation data to other devices.

[0043] In an embodiment, as shown in the figure, Figures 1 to 6 the back wall of the collection cabin 1 opposite to the side provided with the first waterproof lens 11 and the second waterproof lens 12 is provided with a fixing bolt 14 for fixing the cable 15, which is used to fix the entire device on the cable 15 to realize the suspension of the device by the cable 15.

[0044] In an embodiment, as shown in the figure, Figures 1 to 6As shown, the image-based underwater biological particle parameter acquisition device adopts an image method to continuously collect marine biological particles in situ in a non-destructive manner, improve observation efficiency, and avoid sampling disturbance. The structure is optimized for ice water, which helps field deployment. The device can be used for the observation of marine snow and other gelatinous biological aggregates, avoiding the impact and damage of traditional sampling, transportation, and measurement processes, and providing key in-situ data for marine biological particle dynamic research. Not only can it cover a larger particle size range (20 μm~5 cm) for biological particle measurement, but it can also calculate particle density, reducing the error of previous methods for estimating biological particle carbon content based on morphology.

[0045] Embodiment 2

[0046] The embodiment provides an image-based underwater biological particle parameter acquisition method, as shown in Figures 1 to 6 The image-based underwater biological particle parameter acquisition device in Embodiment 1 is adopted, including the following steps:

[0047] The collection tank 1 is suspended in a predetermined water layer, a light source is suspended to form an illumination area, a camera group captures images in real time to obtain image information, and a sensor group 13 monitors the temperature, salinity, and pressure of the water layer. The water layer depth can be determined by the pressure value to adjust the position of the collection tank 1 to reach the predetermined water layer depth.

[0048] In-situ collection and observation of biological particle parameters are achieved. Subsequent processing of image information captured by the wide-angle camera group 2 and the macro camera group 3 can analyze the volume, abundance, and descent speed of biological particles in the illumination area, and the temperature, salinity, and pressure values can be combined to obtain the density of biological particles, and long-term observation can determine the location and time of biological particle generation and sedimentation in water.

[0049] In an embodiment, as shown in Figures 1 to 6 The image-based underwater biological particle parameter acquisition method further includes analyzing the volume, abundance, and descent speed of biological particles in the illumination area based on image information, analyzing the water density and water layer depth based on temperature, salinity, and pressure values, and analyzing the biological particle density based on the descent speed, volume, and water density of biological particles. The above analysis and calculation process can be performed by the calculation program in the controller 10 if the controller 10 is provided in the collection tank 1, or by the central control device if the controller 10 is not provided in the collection tank 1. The central control device can calculate the data saved in the collection tank 1 after it is retrieved, or a remote data transmission device can be provided in the collection tank 1 to transmit data back to the central control device for calculation.

[0050] In an embodiment, as shown in Figures 1 to 6 Step S3, the water density is calculated according to the marine state equation, the volume and abundance of the biological particles are analyzed according to the neural network analysis method, and the biological particle density is calculated and analyzed according to the Stokes equation, and the abundance is calculated by the number of particles in the light area and the range of the light area.

[0051] In an embodiment, as shown in Figures 1 to 6

[0052] (1) The marine state equation is as follows:

[0053] ① Calculate the standard state density:

[0054] ρ0=ρ_w+A×S+B×S^(1.5)+C×S 2 -ρ_w=999.842594+6.793952×10^(-2)T-9.095290×10^(-3)T 2 +...;

[0055] Where T is the temperature, S is the salinity, P is the pressure, A, B, and C are salinity-related coefficients related to temperature T; ② Correct the density value: ρ1=ρ0 / (1-P1 / K)-K=K0+A_P1×P1+B_P1×P1 2 ;

[0056] Where P1 is the corrected pressure value, K0 is a constant related to temperature T and salinity S.

[0057] (2) The Stokes equation is as follows:

[0058] ρ s =ρ+(9μ×v s ) / (2g×R eff 2 );

[0059] Where μ is the fluid viscosity, g is the acceleration of gravity, both of which can be replaced by empirical values, and Reff is the shape factor corrected biological particle volume equivalent radius;

[0060] Reff = ϕ×(3V / 4π)1 / 3;

[0061] Where ϕ is the shape correction factor, which can be obtained by experiment or literature table analysis.

[0062] (3) The abundance calculation formula is as follows:

[0063] The abundance (A) is calculated by the number of particles (N) in the light area and the range of the light area (C), which is shown as follows: A=N / C, the unit of A is ind / dm​3 The number of particles (N) is obtained by counting the biological particle targets in the lighted area, and in the counting process, a high-pass filter is first used to remove any out-of-focus objects, and then a watershed algorithm established by Kowal et al. (2020) is used to separate overlapping targets.

[0064] (4) Neural network algorithm:

[0065] By randomly sampling the image frames, applying a high-pass filter to remove out-of-focus objects, and using a neural network algorithm to calculate the volume and number of particles in a specific lighted area in a single image, combined with the water pressure value, the average abundance data of the particles at the deployed depth is obtained. The specific neural network algorithm can use the classify / val.py classification tool in the YOLO5 light neural network algorithm to classify the objects in the field of view, divide the objects into several particle size and shape categories according to the equivalent spherical diameter, and use the regionprops_table tool in the scientific image Python library to calculate the projected area, major axis, and radius centered on the major axis of each particle (van der Walt et al., 2014). Then, according to the method of Adachi et al. (2019), the volume V of objects of different shape categories is calculated using the major axis and the radius centered on the major axis. Because different particle shapes correspond to different volume correction coefficients, I can use the volume correction coefficient to more accurately obtain the volume of the target from the two-dimensional image. Thus, the role of the density neural network is to classify the target objects, and after classification, the target objects are assigned values using the volume correction factor.

[0066] In an embodiment, as shown in Figures 1 to 6 If the illumination lamp 7 adopts a rectangular lamp panel, and each of the two first rotating rods is provided with an illumination lamp 7, and each of the two second rotating rods is provided with an illumination lamp 7, then the lighted area range (C) is calculated according to the area (R) of the rectangular lamp panel and the distance (W) between the two rectangular lamp panels: C = R x W. By adjusting the screw rod, the lighted area range C is always located within the effective depth of field of the camera group.

[0067] In an embodiment, as shown in Figures 1 to 6As shown, the image-based underwater biological particle parameter acquisition method adopts an image method, so that the marine biological particle matter can be continuously and in-situ collected in a non-destructive manner, the observation efficiency is improved, and sampling disturbance is avoided, the structure is optimized for the water under ice, and the field deployment is facilitated. The device can be applied to the observation of marine snow and other gelatinous biological aggregates, avoids the influence and damage to the experimental samples in the traditional sampling, transportation and measurement process, and provides key in-situ data for the dynamic research of marine biological particles. Not only can the biological particle measurement in a larger particle size range (20 mu m to 5 cm) be covered, but also the particle density can be calculated, so that the error of the previous method for estimating the carbon content of biological particles through morphology is reduced.

[0068] The principles and implementation manners of the present application are described by applying specific examples in the present application, and the above embodiment descriptions are only used to help understand the method of the present application and the core idea thereof; meanwhile, for the general technical personnel in the art, the specific implementation manners and application ranges will be changed according to the idea of the present application. In conclusion, the content of the present specification should not be understood as the limitation of the present application.

Claims

1. An image-based method for collecting parameters of underwater biological particles, characterized in that, An image-based underwater biological particle parameter acquisition device is adopted, which comprises an acquisition cabin for being suspended in a water body, a suspended light source, a camera set and a sensor set are arranged on the acquisition cabin, the suspended light source is used for forming an illumination area, the camera set is used for real-time shooting of the illumination area, and the sensor set is used for acquiring temperature, salinity and pressure values of a water layer where the illumination area is located. The method comprises the following steps: suspending the acquisition cabin in the water body, forming the illumination area by the suspended light source, acquiring image information by the camera set through real-time shooting of the illumination area, and monitoring the temperature, salinity and pressure values of the water layer where the illumination area is located by the sensor set. The volume, abundance and falling speed of the biological particles in the illumination area are obtained through image information analysis, the water density and water layer depth are obtained through temperature, salinity and pressure value analysis, the water density is calculated according to the marine state equation, the volume and abundance of the biological particles are obtained through neural network analysis, the neural network is mainly used for classifying the target, the target is valued through a volume correction factor after classification, the abundance is calculated according to the number of particles in the illumination area and the range of the illumination area, and the biological particle density is obtained according to the falling speed, volume and water density of the biological particles, and the biological particle density is obtained through calculation and analysis according to the Stokes equation.

2. The method according to claim 1, wherein, The camera set comprises a macro camera set and a wide-angle camera set, the macro camera set and the wide-angle camera set are located inside the acquisition cabin, a first waterproof lens and a second waterproof lens are arranged on the side wall of the acquisition cabin, the first waterproof lens corresponds to the wide-angle camera set, and the second waterproof lens corresponds to the macro camera set.

3. The method according to claim 2, wherein, The acquisition cabin has a trapezoidal prism structure, and the upper base wall of the trapezoidal prism structure is the side wall provided with the first waterproof lens and the second waterproof lens.

4. The method of claim 1, wherein the method further comprises: The sensor set comprises a temperature sensor, a salinity sensor and a pressure sensor.

5. The method of claim 2, wherein the method further comprises: The suspended light source comprises a rotating frame and a lighting lamp, the rotating frame comprises a first rotating rod set and a second rotating rod set, the first rotating rod set comprises two first rotating rods arranged on the two sides of the first waterproof lens, the second rotating rod set comprises two second rotating rods arranged on the two sides of the second waterproof lens, the first end of the first rotating rod and the first end of the second rotating rod are rotationally connected to the outer wall of the acquisition cabin through a horizontal rotating shaft, and the end of the first rotating rod and the end of the second rotating rod are provided with a buoyancy body and the lighting lamp.

6. The image-based method of collecting parameters of underwater biological particles according to claim 5, wherein, The first rotating rod and the second rotating rod each comprise a connecting rod and a threaded sleeve, the first end of the connecting rod is provided with the horizontal rotating shaft, the end of the connecting rod is provided with a threaded section, the first end of the threaded sleeve is threadedly connected to the threaded section, and the end of the threaded sleeve is provided with the buoyancy body and the lighting lamp.

7. The method of claim 1, wherein the method further comprises: The collecting cabin is internally provided with a controller and a storage battery, the controller is internally provided with a data analysis program, the camera group, the floating light source and the camera group are electrically connected with the controller, and the storage battery supplies power for the controller, the floating light source, the camera group and the sensor group.

Images