A method and equipment for efficiently exploring the spatial distribution of bottom-sowing and burrowing shellfish in a region

Abstract

The application discloses a kind of bottom sowing buried bivalve area space distribution efficient exploration method and exploration equipment, it is related to seawater aquaculture technical field, through experimental bivalve room acoustic signal feature extraction, exploration equipment field measurement, sampling measurement, the relationship of acoustic characteristic signal and buried bivalve quantity is established, the overall spatial distribution of buried bivalve in exploration area and the density characteristics of calculation are realized;The exploration equipment of the application realizes large-scale, efficient exploration operation by the way of continuous navigation, overcomes the problem of low efficiency, single-point operation of traditional sampling method, meets the demand of large-scale exploration, equipment can also quickly process collected raw data during detection process, generate high-resolution seabed image, provide real-time on-site decision support for buried bivalve explorationThe application effectively improves the exploration precision and reduces the labor cost.

Description

Technical Field

[0001] This invention relates to the field of marine aquaculture technology, and in particular to an efficient method and equipment for detecting the spatial distribution of bottom-seeded burial shellfish within a designated area. Background Technology

[0002] Bottom-seeded burrowing shellfish aquaculture is an important component of aquaculture. Accurate surveying of their burrowing locations and density distribution is crucial for harvesting efficiency, resource assessment, and ecological environmental protection. These shellfish primarily inhabit soft sedimentary layers in the intertidal zone and shallow sea areas, burrowing at depths ranging from a few centimeters to tens of centimeters. This unique growth environment and burrowing behavior result in a concealed and uneven distribution of these shellfish. Surveying the spatial distribution of burrowing shellfish is not only the spatial basis for assessing the structural integrity and functional stability of marine ecosystems, but also a scientific basis for precise planning, harvesting, and early warning of environmental changes in bottom-seeded aquaculture.

[0003] Traditional methods for estimating the spatial distribution and density of burrowing shellfish rely heavily on the experience of aquaculture workers. Blind sampling methods such as quadrats, net screening, and trawls are used to provide a rough qualitative conclusion about burrowing location and density. This leads to a series of problems, including low harvesting efficiency, high labor costs, and significant damage to the seabed ecosystem. Therefore, developing an efficient, comprehensive, and non-destructive method for detecting burrowing shellfish, and quantitatively determining their spatial distribution and density characteristics within the survey area, is crucial for improving the automation and intelligence of burrowing shellfish aquaculture in my country's intertidal and shallow sea areas. This is also the core starting point of this invention for detecting burrowing shellfish in intertidal zones.

[0004] In recent years, acoustic detection technology has gradually become the mainstream method for detecting seabed targets due to its non-destructive nature, high efficiency, and wide coverage. Currently commonly used acoustic detection methods mainly include multibeam sonar, side-scan sonar, and shallow seismic profiling sonar. While multibeam sonar and side-scan sonar have significant advantages in terms of high resolution and wide operational coverage, they cannot penetrate seabed strata and therefore cannot detect targets within seabed sediment layers, thus failing to effectively detect the distribution of burrowing shellfish. Shallow seismic profiling sonar can penetrate seabed sediment layers and detect targets in sediments below the seabed, but its resolution is relatively low (the highest resolution of current equipment is approximately 25 cm), while the smallest burrowing shellfish are about 0.5 cm in size, making it difficult to meet the detection needs of small burrowing shellfish in aquaculture scenarios. Furthermore, these types of equipment are typically large in size, have complex systems, and require highly specialized operating personnel, limiting their application in small and medium-sized marine aquaculture farms. The spatial distribution of bottom-seeded burial shellfish is still mainly determined by human experience. The density of burial shellfish is still estimated by sampling and measurement at a single location. There are no reports on technical methods for quantitatively estimating the spatial distribution and density of burial shellfish within a region. Summary of the Invention

[0005] In order to overcome the above-mentioned problems in the existing technology, the present invention proposes an efficient method and equipment for detecting the spatial distribution of bottom-seeded burial shellfish within a region.

[0006] The technical solution adopted by this invention to solve its technical problem is: an efficient method for detecting the spatial distribution of bottom-seeded burial mollusks within a region, comprising the following steps: Step 1, Acoustic signal feature extraction of buried shellfish: Two-dimensional acoustic images are collected in the laboratory using exploration equipment to obtain amplitude histograms at different arrangement patterns and burial depths, and the strong backscattering features of the shell surface are determined to distinguish the different backscattering features of sediments and shellfish. Step 2, collecting shallow stratigraphic profiles with exploration equipment: The exploration equipment is mounted on a ship platform to measure the exploration area and obtain the acoustic amplitude characteristics of burial mollusks at different burial depths within the exploration area. Step 3, sampling and measuring the distribution density of shellfish at a single point: Based on the measurement results obtained in Step 2, select n representative areas at different burial depths to conduct single-point sampling on the seabed, and count the number of buried shellfish at the n locations. Step 4, shallow stratigraphic profile image data processing: The image obtained in Step 2 is processed to generate a geometrically accurate two-dimensional stratigraphic profile. The locations of sediments and burial shellfish are marked on the processed image, and the amplitude values ​​of burial shellfish and the processed image are output according to the survey line. Step 5, Establishing the relationship between acoustic signal and sampling measurement: Obtain the acoustic data amplitude characteristics of the sampling points, perform regression analysis on the acoustic data amplitude and the number of shellfish at the same burial depth, and obtain the density distribution characteristics of each measured shellfish. Step 6, Calculation of spatial distribution and density characteristics of shellfish: Based on the results of Step 5, the Kriging interpolation method is used to perform interpolation between survey lines to obtain the spatial distribution and density distribution characteristics of buried shellfish in the exploration area.

[0007] The above-mentioned efficient method for spatially detecting the distribution of bottom-seeded burial mollusks within a region, specifically step 1, involves: Step 1.1: Construct an experimental device that can acquire acoustic signal characteristics of burial shellfish. The device is equipped with a detection device on the top and installed perpendicular to the sediment surface. Real, fresh, live burial shellfish are buried in the sediment, kept in a supine position, and moved and measured along the maximum length of the shell. Step 1.2: Change the burrowing depth of the shellfish and repeat step 1.1 to measure and collect data; Step 1.3: Change the distribution pattern of burrowing shellfish, and repeat steps 1.1 and 1.2 for measuring and collecting data on shellfish in a standing position; Step 1.4: Analyze the collected data using the two-dimensional acoustic finite difference time-domain method to generate a two-dimensional acoustic image. Obtain amplitude histograms for different arrangements and burial depths to determine the strong backscattering characteristics of the shell surface, which can be used to distinguish the different backscattering characteristics of sediments and shellfish.

[0008] The above-mentioned efficient method for spatially detecting the distribution of bottom-seeded burial mollusks within a region, specifically step 2, involves: Step 2.1: Mount the exploration equipment on the ship platform and conduct a connectivity test. Based on the experimental results of Step 1, adjust the parameters of the exploration equipment. Step 2.2: Lay out survey lines in the exploration area. The survey lines are parallel lines with equal spacing. Step 2.3: Start the vessel and begin measuring along the survey line to collect measurement data.

[0009] The above-mentioned efficient method for spatially detecting the distribution of bottom-seeded burial mollusks within a region, specifically step 4, involves: Step 4.1: Set the correct metadata information for the data collected in Step 2 to ensure accurate spatial location, perform bandpass filtering and gain adjustment, and suppress environmental noise and instrument interference; Step 4.2: Perform time-depth conversion, tilt correction and terrain leveling on the data to eliminate image distortion caused by factors such as changes in ship speed and seabed slope, and generate a geometrically accurate two-dimensional stratigraphic profile. Step 4.3: Combining amplitude, frequency, and continuity attributes, track key reflective surfaces, identify and label the reflective characteristics of burial shellfish, thereby distinguishing between sediments and burial shellfish; Step 4.4: Output amplitude data and standardized image results according to the survey line.

[0010] The above-mentioned efficient method for spatially detecting the distribution of bottom-seeded burial mollusks within a region, wherein the regression equation constructed in step 5 is: ρ 密度 =α×A 振幅， Wherein, α is a correction factor, which is obtained by regression analysis of acoustic amplitude intensity and actual shellfish quantity at the same burial depth sampling point.

[0011] The above-mentioned efficient spatial distribution detection method for bottom-seeded burial shellfish in a region includes a detection equipment in step 1 comprising a transceiver parametric array transducer, an electronic compartment, and a watertight socket. The transceiver parametric array transducer is used to transmit sound waves and receive reflected sound waves; the electronic compartment is used to store electronic circuits; and the watertight socket is used to connect a communication power cable to complete underwater power supply and data communication transmission for the equipment.

[0012] The aforementioned method for efficient spatial distribution detection of bottom-seeded burial mollusks within a region includes an electronic circuit comprising a power supply module, a main control module, a low-frequency receiving module, a high-frequency receiving module, and a parametric array transmitting module. The power supply module provides instantaneous high energy to the transmitting module; the main control module controls the transmission, reception, acquisition, and storage; the low-frequency receiving module receives, filters, and amplifies the low-frequency signals received by the integrated parametric array transceiver; the high-frequency receiving module receives, filters, and amplifies the high-frequency signals received by the integrated parametric array transceiver; and the parametric array transmitting module adjusts the amplitude of the transmitted signal and responds to the transmission command to drive the transmitted waveform to the integrated parametric array transceiver.

[0013] The beneficial effects of this invention are that, through acoustic signal feature extraction in an experimental shellfish chamber, on-site measurement with exploration equipment, and sampling measurement, it establishes the relationship between acoustic feature signals and the quantity of burial shellfish, enabling the calculation of the overall spatial distribution and density characteristics of burial shellfish within the exploration area. The exploration equipment disclosed in this invention achieves large-scale, high-efficiency exploration operations through continuous navigation, overcoming the problems of low efficiency and single-point operation in traditional sampling methods, and meeting the needs of large-scale exploration. Simultaneously, the equipment can rapidly process the collected raw data during the exploration process, generating high-resolution seabed images, providing real-time on-site decision support for burial shellfish exploration. Furthermore, it is small in size, highly intelligent, and can be carried out using unmanned surface vessels, effectively improving exploration accuracy and reducing labor costs. Attached Figure Description

[0014] Figure 1 This is a schematic diagram of the process of this invention; Figure 2 This is a schematic diagram of the working operation of the exploration equipment of the present invention; Figure 3 This is a schematic diagram of the internal electronic circuit system of the exploration equipment of the present invention; Figure 4 This is a flowchart of the software control for the exploration equipment of this invention; Figure 5 This is a schematic diagram of the sending thread of the software in this invention; Figure 6 This is a schematic diagram of the software receiving thread of the present invention; Figure 7 This is a schematic diagram of the software storage thread of the present invention; Figure 8 This is a schematic diagram illustrating the detection effect of the detection equipment of the present invention; Figure 9 This is a schematic diagram illustrating the extraction of different amplitude values ​​from seashells and sediments according to the present invention. Detailed Implementation

[0015] To enable those skilled in the art to better understand the technical solution of the present invention, the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.

[0016] like Figure 1 As shown in the figure, this embodiment discloses an efficient method for detecting the spatial distribution of bottom-seeded burial mollusks within a region, comprising the following steps: S1. Acoustic signal feature extraction of burrowing mollusks S101. First, an experimental device was constructed to acquire the acoustic signal characteristics of burial shellfish. The device was made of square PVC plastic, with seabed mud sediment at the bottom and seawater at the top. A probe was mounted on top of the device, perpendicular to the sediment surface, and emitted sound waves at a center frequency of 1MHz. Real, fresh, live shellfish (such as clams) were buried in the sediment at a depth of 10cm below the sediment surface, maintaining a supine position (i.e., the maximum length of the shell was horizontal). Measurements were taken by moving the shell along its maximum length, and the acoustic signal data was recorded on a data acquisition computer via a deck unit.

[0017] S102. Change the burial depth of the shellfish to 10cm, 20cm and 30cm respectively, and repeat step S101 to measure and collect data.

[0018] S103. Change the distribution pattern of burrowing mollusks, and repeat steps S101 and S102 to measure and collect data for mollusks in a standing position (i.e., the maximum length of the shell is perpendicular to the sediment surface).

[0019] S104. The collected data are analyzed using the two-dimensional acoustic finite difference time domain (2-D FDTD) method. Equation (1) is the equation of motion, and equation (2) is the continuity equation. Where p is the sound pressure, v is the particle velocity (with x and y components in a two-dimensional sound field), ρ is the medium density, and c is the speed of sound.

[0020] S105. Generate a two-dimensional acoustic image to obtain amplitude histograms under different arrangement patterns and burial depths, determine the strong backscattering characteristics of the shell surface, and use them to distinguish the different backscattering characteristics of sediments and shellfish.

[0021] S2. Exploration equipment collects shallow stratigraphic profiles. S201. First, the exploration equipment is mounted on the ship platform, connected to GPS and a data acquisition computer, and connectivity tests are conducted.

[0022] S202. Based on the experimental results of S1, adjust the parameters such as the equipment's transmission cycle, sampling interval, sampling time, and transmission power.

[0023] S203. Set up survey lines in the exploration area. The survey lines are parallel lines with equal spacing. The specific spacing is determined according to the site conditions.

[0024] S204. Start the vessel and begin measurements along the survey lines. When a survey line is entered, click "Start Measurement"; when it is exited, click "End Measurement". Simultaneously, record the measurement parameters in the shift report.

[0025] S205. Record the data using the acquisition computer and observe the stratigraphic profile display window of the acquisition software in real time to determine if there are any abnormalities in the equipment's operating status. If any abnormalities are found, the acquisition parameters need to be adjusted in real time. After acquisition is complete, output and save the data.

[0026] S3. Sampling and measuring the distribution density of shellfish at a single point. S301. After performing step S2, the acoustic amplitude characteristics of burial mollusks at different burial depths in the exploration area were obtained, and n representative areas at different burial depths were selected for single-point seabed sampling.

[0027] S302. Screen the seabed samples and count the number of burrowing mollusks at n locations.

[0028] S4. Shallow stratigraphic profile image data processing S401. Import the collected raw data into the equipment's built-in software, set the correct coordinate system, positioning parameters, heading source and other metadata information to ensure accurate spatial positioning.

[0029] S402. Perform bandpass filtering and gain adjustment (such as TVG, time-varying gain) to suppress environmental noise and instrument interference, improve the clarity of formation reflection signals, and highlight effective stratigraphic boundaries.

[0030] S403. Perform time-depth conversion, tilt correction, and terrain leveling on the data to eliminate image distortion caused by factors such as changes in ship speed and seabed slope, and generate a geometrically accurate two-dimensional stratigraphic profile.

[0031] S404. Combining attributes such as amplitude, frequency, and continuity, key reflective surfaces are manually or semi-automatically tracked to identify the reflective characteristics of burrowing shellfish and then labeled.

[0032] S405. Output amplitude data and standardized image results according to the measurement line to provide data for the subsequent establishment of the relationship between acoustic signals and shellfish density characteristics.

[0033] S5. Establishment of the relationship between acoustic signals and shellfish density S501. Obtain the acoustic data amplitude characteristics of the sampling points (e.g.) Figure 9 As shown in the figure, regression analysis was performed on the acoustic data amplitude and the number of mollusks at the same burial depth, and the following regression equation was constructed: ρ 密度 =α×A 振幅 Wherein, α is a correction factor, which is obtained by regression analysis of acoustic amplitude intensity and actual shellfish quantity at the same burial depth sampling point.

[0034] S502. Repeat steps S4 and S501 to obtain the shellfish density distribution characteristics of each survey line.

[0035] S6. Calculation of Spatial Distribution and Density Characteristics of Shellfish S601. Based on the results in S5, organize the data into X (longitude), Y (latitude), and Z (density) formats.

[0036] S602. The Kriging interpolation method was used to perform interpolation between survey lines to obtain the spatial distribution and density distribution characteristics of burial mollusks in the exploration area.

[0037] A schematic diagram of the exploration equipment is shown below. Figure 2 As shown, based on the ship platform, the transmitting transducer module of the exploration equipment emits sound waves to the seabed. When the sound waves encounter burrowing shellfish during propagation, a sudden change in acoustic impedance occurs at the interface, causing reflection. The reflected sound waves are received by the receiving transducer and finally generate real-time images. The images can accurately reflect the sedimentary strata structure of the seabed and the spatial distribution characteristics of burrowing shellfish.

[0038] To achieve the required resolution for effective sound wave penetration of the seabed and accurate detection of burrowing mollusks, this invention is based on the technical principles of parametric array sonar technology, but differs from traditional parametric array technology. Traditional parametric array sonar transducers are bulky and have low frequencies, making them ineffective for detecting burrowing mollusks. Therefore, this invention first determines the technical parameters of the detection equipment, such as sound source level, frequency, beamwidth, penetration depth, and resolution, based on sonar equations. The sonar equations are as follows: SL-2TL+TS-(NL-DI)=DT Wherein: SL - source level, TL - propagation loss, TS - target intensity, NL - ambient noise, DI - receiver sensitivity, DT - detection threshold.

[0039] Secondly, to achieve portability and operability of the exploration equipment, it is necessary to reduce the size of the equipment and facilitate operation. Therefore, this invention proposes the use of a parametric array transceiver with integrated transmission and reception, such as... Figure 3 The diagram shows the structure of the exploration equipment for detecting the distribution of burrowing mollusks according to the present invention. The equipment mainly consists of three parts: an integrated transceiver transducer, an electronics compartment, and a watertight socket. The integrated transceiver transducer is mainly used to transmit sound waves and receive reflected sound waves; the electronics compartment is mainly used to store control circuitry; and the watertight socket is mainly used to connect the communication power cable, enabling underwater power supply and data communication transmission. The equipment is approximately 278mm high, 161mm in diameter, and weighs approximately 6kg. It can achieve a penetration depth of ≥30cm within a water depth of 30 meters, with a vertical distance resolution of 0.5cm.

[0040] The exploration equipment's electronic compartment consists of a pressure-resistant hull and electronic circuitry. The lower part of the pressure-resistant hull integrates a transceiver transceiver, while the top has a watertight socket. The internal electronic circuitry system comprises five main parts: a power module, a main control module, a low-frequency receiving module, a high-frequency receiving module, and a parametric array transmitting module. Figure 3 (As shown). The power supply module provides instantaneous high energy to the transmitting module, requiring high capacitor capacity, fast charging, and large discharge current. The main control module controls the transmission, reception, acquisition, and storage of this device. The low-frequency receiving module is used to receive, filter, and amplify the low-frequency received signal from the transceiver. The high-frequency receiving module is used to receive, filter, and amplify the high-frequency received signal from the transceiver. The parametric array transmitting module is used to adjust the amplitude of the transmitted signal and drive the transmitted waveform to the transceiver in response to the transmission command.

[0041] To realize on-site decision-making function, the present invention is equipped with host computer software. The host computer software mainly connects the equipment and controls the operation of the equipment when using the human-computer interaction measurement mode, and reads, replays and transfers data from the storage compartment when using the autonomous measurement mode. It mainly includes the following functions: (1) Hardware management: mainly realizes communication with the lower computer, GNSS and attitude, etc.; (2) Hardware control: controls the working status of GPS and attitude sensors, controls the original frequency working mode or differential frequency working mode of the equipment prototype, adjusts the parameters of the equipment prototype such as gain, range and absorption compensation, controls the transmission waveform, transmission interval and signal frequency of the equipment prototype, and receives the data returned by the lower computer of the equipment prototype. (3) Data processing: includes realizing the processing of data received by all connected peripheral devices, filtering after receiving the data returned by the equipment prototype, displaying the measurement results in the form of images, and tracking the seabed position according to the data; (4) Data storage: manages the reading and writing of data on the hard disk and replays the data.

[0042] To achieve this functionality of processing multiple events simultaneously, the software employs multithreaded programming. The software flow is as follows: Figure 4 As shown in the flowchart, the entire software program mainly uses three sub-threads ( Figure 5-7 ): Sending thread ( Figure 5 ), receiving thread ( Figure 6 ), storage thread ( Figure 7 In addition, there are two auxiliary threads that receive GNSS and attitude data, respectively providing position and 3D attitude information during data acquisition. The software detection results are as follows: Figure 8 As shown, burrowing mollusks are clearly displayed on the software's control interface (the red part represents burrowing mollusks).

[0043] The above embodiments are merely exemplary embodiments of the present invention and are not intended to limit the present invention. Those skilled in the art can make various modifications or equivalent substitutions to the present invention within its scope and spirit, and such modifications or equivalent substitutions should also be considered to fall within the scope of protection of the present invention.

Claims

1. A method for efficiently detecting the spatial distribution of bottom-seeded burial mollusks within a region, characterized in that, Includes the following steps: Step 1, Acoustic signal feature extraction of buried shellfish: Two-dimensional acoustic images are collected in the laboratory using exploration equipment to obtain amplitude histograms at different arrangement patterns and burial depths, and the strong backscattering features of the shell surface are determined to distinguish the different backscattering features of sediments and shellfish. Step 2, collecting shallow stratigraphic profiles with exploration equipment: The exploration equipment is mounted on a ship platform to measure the exploration area and obtain the acoustic amplitude characteristics of burial mollusks at different burial depths within the exploration area. Step 3, sampling and measuring the distribution density of shellfish at a single point: Based on the measurement results obtained in Step 2, select n representative areas at different burial depths to conduct single-point sampling on the seabed, and count the number of buried shellfish at the n locations. Step 4, shallow stratigraphic profile image data processing: The image obtained in Step 2 is processed to generate a geometrically accurate two-dimensional stratigraphic profile. The locations of sediments and burial shellfish are marked on the processed image, and the amplitude values ​​of burial shellfish and the processed image are output according to the survey line. Step 5, Establishing the relationship between acoustic signal and sampling measurement: Obtain the acoustic data amplitude characteristics of the sampling points, perform regression analysis on the acoustic data amplitude and the number of shellfish at the same burial depth, and obtain the density distribution characteristics of each measured shellfish. Step 6, Calculation of spatial distribution and density characteristics of shellfish: Based on the results of Step 5, the Kriging interpolation method is used to perform interpolation between survey lines to obtain the spatial distribution and density distribution characteristics of buried shellfish in the exploration area.

2. The method for efficient spatial distribution detection of bottom-seeded burial mollusks within a region according to claim 1, characterized in that, Step 1 specifically involves: Step 1.1: Construct an experimental device that can acquire acoustic signal characteristics of burial shellfish. The device is equipped with a detection device on the top and installed perpendicular to the sediment surface. Real, fresh, live burial shellfish are buried in the sediment, kept in a supine position, and moved and measured along the maximum length of the shell. Step 1.2: Change the burrowing depth of the shellfish and repeat step 1.1 to measure and collect data; Step 1.3: Change the distribution pattern of burrowing shellfish, and repeat steps 1.1 and 1.2 for measuring and collecting data on shellfish in a standing position; Step 1.4: Analyze the collected data using the two-dimensional acoustic finite difference time-domain method to generate a two-dimensional acoustic image. Obtain amplitude histograms for different arrangements and burial depths to determine the strong backscattering characteristics of the shell surface, which can be used to distinguish the different backscattering characteristics of sediments and shellfish.

3. The method for efficient spatial distribution detection of bottom-seeded burial mollusks within a region according to claim 1, characterized in that, Step 2 specifically involves: Step 2.1: Mount the exploration equipment on the ship platform and conduct a connectivity test. Based on the experimental results of Step 1, adjust the parameters of the exploration equipment. Step 2.2: Lay out survey lines in the exploration area. The survey lines are parallel lines with equal spacing. Step 2.3: Start the vessel and begin measuring along the survey line to collect measurement data.

4. The method for efficient spatial distribution detection of bottom-seeded burial mollusks within a region according to claim 1, characterized in that, Step 4 specifically involves: Step 4.1: Set the correct metadata information for the data collected in Step 2 to ensure accurate spatial location, perform bandpass filtering and gain adjustment, and suppress environmental noise and instrument interference; Step 4.2: Perform time-depth conversion, tilt correction and terrain leveling on the data to eliminate image distortion caused by factors such as changes in ship speed and seabed slope, and generate a geometrically accurate two-dimensional stratigraphic profile. Step 4.3: Combining amplitude, frequency, and continuity attributes, track key reflective surfaces, identify and label the reflective characteristics of burial shellfish, thereby distinguishing between sediments and burial shellfish; Step 4.4: Output amplitude data and standardized image results according to the survey line.

5. The method for efficient spatial distribution detection of bottom-seeded burial mollusks within a region according to claim 1, characterized in that, The regression equation constructed in step 5 is: ρ 密度 =α×A 振幅， Wherein, α is a correction factor, which is obtained by regression analysis of acoustic amplitude intensity and actual shellfish quantity at the same burial depth sampling point.

6. A highly efficient detection device for the spatial distribution of bottom-seeded burial mollusks within a designated area, characterized in that, The device includes an integrated parametric array transceiver, an electronics compartment, and a watertight socket. The integrated parametric array transceiver is used to transmit sound waves and receive reflected sound waves; the electronics compartment is used to store electronic circuits; and the watertight socket is used to connect communication power cables to complete underwater power supply and data communication transmission for the equipment.

7. The efficient spatial distribution detection equipment for bottom-seeded burial mollusks in a region according to claim 6, characterized in that, The electronic circuit includes a power supply module, a main control module, a low-frequency receiving module, a high-frequency receiving module, and a parametric array transmitting module. The power supply module provides instantaneous high energy to the transmitting module; the main control module controls the transmission, reception, acquisition, and storage; the low-frequency receiving module is used to receive, filter, and amplify the low-frequency received signal from the integrated parametric array transceiver; and the high-frequency receiving module is used to receive, filter, and amplify the high-frequency received signal from the integrated parametric array transceiver. The parametric array transmitter module is used to adjust the amplitude of the transmitted signal and respond to the transmission command to drive the transmitted waveform to the transceiver parametric array transducer.

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