A sonar cruise monitoring data processing method, system, device and medium

Abstract

The application discloses a kind of sonar cruise monitoring data processing method, system, equipment and medium, the method is by obtaining the sonar acoustic data of investigation sea area and the simultaneously collected trawl biological data;According to trawl biological data, the number percentage of target species participating in acoustic evaluation, average body length and average body weight are determined;According to average body length, the backscattering cross section of each target species is calculated;According to the sonar acoustic data of investigation sea area, the number percentage of each target species and backscattering cross section, the number density of each target species is calculated using echo integration method;Finally, according to the number density of each target species and average body weight, the resource density of each target species is calculated.The application can master the dynamic change trend of offshore biomass in real time, take effective intervention measures before biological outbreak, avoid the transient of unit, power reduction and even shutdown and shutdown event caused by filter screen blockage and cooling efficiency reduction, and significantly improve the safety and reliability of nuclear power cold source system.

Description

Technical Field

[0001] This invention relates to the fields of nuclear power plant cold source safety monitoring and marine biological resource assessment, and in particular to a sonar cruise monitoring data processing method, system, equipment and medium. Background Technology

[0002] In recent years, the explosive invasion of marine organisms has become one of the significant risk factors threatening the safe operation of nuclear power plant cooling systems. Large numbers of marine organisms (such as fish, shrimp, and jellyfish) flow into the intake with seawater, clogging filters, reducing cooling efficiency, and in severe cases, causing transients, power reductions, shutdowns, or even reactor shutdowns, directly impacting the safe operation of nuclear power plants. Therefore, effective monitoring of marine organisms, early warning systems, and the implementation of appropriate interception and salvage strategies are crucial for improving the safety and reliability of cooling systems.

[0003] Currently, nuclear power plants have conducted extensive research and accumulated considerable monitoring experience and technical methods in the waters inside large dikes for monitoring and early warning of marine life. However, to truly grasp the overall biomass change trend near the intake area and accurately assess the total resource quantity of disaster-causing organisms, monitoring the open sea area (i.e., the open sea area outside the intake) is a crucial link in early warning work. The open sea environment differs significantly from that inside the dike; it has a large area, wide range, and complex hydrodynamic conditions, making it difficult to achieve effective coverage using traditional fixed-point monitoring or manual sampling methods. Sonar cruise monitoring technology, with its wide range, high efficiency, and continuous navigation characteristics, can effectively assess the overall resource quantity of open sea organisms to the greatest extent. However, the raw sonar data is only sound wave echo signals. How to accurately extract biological resource information from these signals, especially to quantitatively calculate the number density and resource density of organisms, remains a technical challenge that urgently needs to be solved.

[0004] Therefore, developing a data processing method that can accurately assess the density of marine biological resources based on sonar cruise data and establishing a systematic and reliable quantitative assessment system is of great practical significance and technical value for improving the reliability of early warning of biological invasion caused by cold sources in nuclear power plants. Summary of the Invention

[0005] The purpose of this invention is to provide a sonar cruise monitoring data processing method, system, device and medium. This method performs echo integration processing on the acoustic data of sonar cruise based on synchronous trawling data to quantitatively calculate the resource density of each target species. This solves the technical problem that existing sonar monitoring technology cannot effectively extract biological resource information from echo signals and is difficult to meet the needs of early warning of biological disasters caused by nuclear power cold sources.

[0006] To solve the above-mentioned technical problems, the present invention is achieved through the following technical solution:

[0007] This invention provides a method for processing sonar cruise monitoring data, comprising: Acquire acoustic data from sonar navigation in the surveyed sea area and biological data from trawl nets collected synchronously with the sonar navigation; Based on the trawl biological data, determine the percentage of target species, average body length, and average weight in the trawl catch for acoustic assessment. Calculate the backscattering cross section of each target species based on the average body length of each target species; Based on the sonar mobile acoustic data, the percentage of each target species, and the backscattering cross section of each target species, the number density of each target species is calculated using the echo integration method. The resource density of each target species is calculated based on the population density and average weight of each target species.

[0008] In one embodiment of the present invention, acquiring sonar navigation acoustic data of the surveyed sea area includes: The sonar navigation route in the survey area is designed to be perpendicular to the survey section of the marine organism density gradient line and the shoreline. The route spacing is determined according to the beam opening angle of the sonar transducer and the measured water depth, so that the acoustic coverage of adjacent routes can be connected or overlap in the target water layer.

[0009] In one embodiment of the present invention, the effective integration range of the sonar underway acoustic data is set to be from a first preset value downward from the sonar transducer working interface to a second preset value upward from the seabed interface, so as to eliminate the interference of ship wake bubbles and irregular seabed echoes.

[0010] In one embodiment of the present invention, calculating the backscattering cross section of each target species based on the average body length of each target species includes: Calculate the target intensity of each target species based on their average body length:

[0011] in, For the first Target intensity of the target species For the first The average body length of the target species, For the first Empirical coefficient of target intensity for the target species; Based on the target intensity of each target species, calculate the backscattering cross section of each target species:

[0012] in, For the first Backscattering cross section of the target species For the first The target intensity of the target species.

[0013] In one embodiment of the present invention, the step of calculating the population density of each target species using the echo integration method based on the sonar mobile acoustic data, the population percentage of each target species, and the backscattering cross section of each target species includes: Based on the percentage of each target species and the backscattering cross section of each target species, calculate the average single-cell backscattering cross section of all target species in the trawl catch;

[0014] in, The average monomeric backscattering cross section of all target species in the trawl catch. For the first The percentage of the target species in the trawl catch. For the first Backscattering cross section of the target species The total number of target species in trawl catches that participated in the acoustic assessment; Based on the average backscattering cross section of all target species in the trawl catch, the sonar underway acoustic data, and the percentage of each target species, the population density of each target species is calculated using the echo integration method.

[0015] in, For the first The population density of the target species For the first The percentage of the target species in the trawl catch. This represents the sea-mile area backscattering coefficient in sonar underway acoustic data. The average monomeric backscattering cross section of all target species in the trawl catch.

[0016] In one embodiment of the present invention, the calculation of the resource density of each target species based on the population density and average weight of each target species is achieved by the following formula:

[0017] in, For the first Resource density of the target species For the first The population density of the target species For the first The average weight of the target species.

[0018] In one embodiment of the present invention, when the horizontal distance between adjacent integral range units is less than or equal to a preset nautical mile value, the resource density of each target species is calculated in the following manner: Based on the total area backscattering intensity within the integral range cell, the number density of each target species within the integral range cell, and the average individual backscattering cross section of all target species, the area backscattering intensity allocated to each target species is calculated:

[0019] in, To be allocated to the first Area backscattering intensity of the target species The total area backscattering intensity within the integral range cell. For the first The population density of the target species within the integral range unit. For the first The population density of the target species within the integral range unit. The average monomeric backscattering cross section for all target species. The total number of target species participating in the acoustic assessment within the integral range unit; Based on the area backscattering intensity of each target species and the average single-cell backscattering cross section of all target species, calculate the resource density of each target species within the integral range cell:

[0020] in, For the first Resource density of the target species within the integral range unit; To be allocated to the first Area backscattering intensity of the target species; The average monomeric backscattering cross section for all target species.

[0021] Based on the same inventive concept, another embodiment of the present invention provides a sonar cruise monitoring data processing system, implemented using the sonar cruise monitoring data processing method as described in any of the above embodiments, including: The data acquisition module is used to acquire acoustic data from sonar navigation in the survey area and biological data from trawl nets collected synchronously with the sonar navigation. The species parameter determination module is used to determine the percentage of the target species involved in the acoustic assessment, the average body length, and the average weight of the trawl catch based on the synchronous trawl biological data. The backscattering cross section calculation module is used to calculate the backscattering cross section of each target species based on the average body length of each target species. The number density calculation module is used to calculate the number density of each target species using the echo integration method based on the sonar underway acoustic data, the number percentage of each target species, and the backscattering cross section of each target species. The resource density calculation module is used to calculate the resource density of each target species based on the population density and average weight of each target species.

[0022] Based on the same inventive concept, another embodiment of the present invention also provides an electronic device, the electronic device comprising: One or more processors; A storage device for storing one or more programs, which, when executed by one or more processors, cause the electronic device to implement the sonar cruise monitoring data processing method as described in any of the above embodiments.

[0023] Based on the same inventive concept, another embodiment of the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a computer processor, causes the computer to perform the sonar cruise monitoring data processing method as described in any of the above embodiments.

[0024] As described above, the sonar cruise monitoring data processing method provided by this invention first acquires sonar cruise acoustic data of the surveyed sea area and trawl biological data collected synchronously with the sonar cruise. Based on the trawl biological data, the percentage of target species, average body length, and average weight in the trawl catch are determined. Then, based on the average body length of each target species, the backscattering cross section of each target species is calculated. Next, based on the sonar cruise acoustic data, the percentage of each target species, and the backscattering cross section, the echo integration method is used to calculate the population density of each target species. Finally, based on the population density and average weight of each target species, the resource density of each target species is calculated. This invention calibrates and distributes sonar cruise acoustic data by synchronously using trawl biological data. This method utilizes the percentage of target species, average body length, and average weight obtained from trawls, combined with the echo integration method, to convert the original acoustic signal into the population density and resource density of target species, achieving a quantitative inversion of the total biological resources and their spatial distribution in the sea area outside the intake. Furthermore, by combining acoustic assessment results with the outbreak mechanism and characteristic thresholds of invasive organisms, this invention can identify biological invasion risks in advance, providing data support for nuclear power plants to formulate interception and salvage strategies and allocate emergency resources. Additionally, through the cruise monitoring data processing method provided by this invention, nuclear power plants can monitor the dynamic changes in offshore biomass in real time, taking effective intervention measures before biological outbreaks occur. This avoids transient events, power reductions, and even shutdowns caused by filter clogging and decreased cooling efficiency, significantly improving the safety and reliability of nuclear power cooling systems. Of course, implementing any product of this invention does not necessarily require achieving all of the above advantages simultaneously. Attached Figure Description

[0025] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0026] Figure 1 This is a flowchart illustrating a sonar cruise monitoring data processing method provided for an exemplary embodiment of this application.

[0027] Figure 2 A schematic diagram of a navigation route and terminal provided for an exemplary embodiment of this application.

[0028] Figure 3 This is a schematic diagram of a mobile sonar installation provided for an exemplary embodiment of this application.

[0029] Figure 4This is a schematic diagram of the structure of a sonar cruise monitoring data processing system provided for another exemplary embodiment of this application.

[0030] Figure 5 This is a schematic diagram of the structure of an electronic device provided for another exemplary embodiment of this application. Detailed Implementation

[0031] The following specific examples illustrate the implementation of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that, unless otherwise specified, the following embodiments and features described therein can be combined with each other.

[0032] It should be noted that the illustrations provided in the following embodiments are only schematic representations of the basic concept of the present invention. Therefore, the drawings only show the components related to the present invention and are not drawn according to the actual number, shape and size of the components in the actual implementation. In the actual implementation, the form, quantity and proportion of each component can be arbitrarily changed, and the layout of the components may also be more complex.

[0033] In the following description, numerous details are explored to provide a more thorough explanation of embodiments of the invention. However, it will be apparent to those skilled in the art that embodiments of the invention may be practiced without these specific details. In other embodiments, publicly known structures and devices are shown in block diagram form rather than in detail to avoid obscuring embodiments of the invention.

[0034] In the operation of coastal nuclear power plants, seawater is typically used as the cooling medium; therefore, the safety of the intake is directly related to the stable operation of the nuclear power unit. To ensure the safety of the intake, sonar patrol monitoring is employed to obtain real-time information on the distribution and quantity of hazardous organisms (such as jellyfish, algae, and high-risk organisms like krill) in the surrounding waters. When these organisms accumulate in large numbers near the intake, they may clog the filter screen, reduce water intake efficiency, and potentially trigger serious operational events such as transients, power reduction, shutdown, or even reactor failure. Therefore, timely early warning of potential biological hazards based on sonar patrol monitoring is of great significance for ensuring the safe and stable operation of the nuclear power plant's cooling source system. However, existing sonar monitoring technology struggles to effectively extract biological resource quantity information from echo signals, failing to meet the practical needs for quantitative early warning of hazardous organisms affecting the nuclear power plant's cooling source.

[0035] To address the aforementioned technical problems, this invention proposes a sonar cruise monitoring data processing method, system, equipment, and medium, primarily applied in the field of nuclear power plant cold source safety monitoring. This method obtains biological parameters such as the percentage of target species, average body length, and average weight involved in acoustic assessment through fixed-point bottom trawl sampling. Based on the echo integration method, the raw acoustic signals are processed and quantitatively converted into the population density and resource density of each target species. This enables the inversion of the total biological resources and their spatial distribution in the sea area outside the intake, providing accurate data support for risk warning of hazardous organisms from nuclear power plant cold sources.

[0036] Please see Figure 1 As shown in an exemplary embodiment of this application, the sonar cruise monitoring data processing method includes the following steps: S100: Acquire acoustic data from sonar navigation in the survey area and biological data from trawl nets collected synchronously with the sonar navigation. S200: Based on the trawl biological data, determine the percentage of the target species involved in the acoustic assessment, the average body length, and the average weight of the trawl catch; S300: Calculate the backscattering cross section of each target species based on the average body length of each target species; S400: Based on the sonar mobile acoustic data, the percentage of each target species, and the backscattering cross section of each target species, the number density of each target species is calculated using the echo integration method. S500: Calculate the resource density of each target species based on the number density of each target species and the average weight of each target species.

[0037] The steps in the above-mentioned sonar cruise monitoring data processing method will be explained in detail below.

[0038] First, step S100 is executed, which involves acquiring acoustic data from the sonar navigation of the survey area and biological data from the trawl net collected synchronously with the sonar navigation.

[0039] It should be noted that you should refer to [link / reference]. Figure 2As shown, before collecting acoustic data from sonar navigation and biological data from trawls, it is necessary to first define the basic scope of the survey area, including water depth distribution, area width, and special topographic features (such as reefs, sandbars, and steep slopes), to ensure that the design of the survey cross-section can cover the target area to the greatest extent and with the greatest representativeness. Based on this, a reasonable navigation route should be planned, and several navigation stations should be set up along the predetermined route as the operating locations for subsequent fixed-point trawl biological sampling, so as to identify species and verify biological parameters of the acoustic signals. During the formal navigation operation, the survey vessel should maintain a constant speed and straight-line navigation to ensure the continuity and consistency of acoustic data collection. Simultaneously, the survey vessel must use its onboard Global Positioning System (GPS) for real-time, high-precision navigation and positioning throughout the entire process to ensure that the survey vessel strictly follows the predetermined navigation route.

[0040] In an exemplary embodiment of this application, the acquisition of sonar navigation acoustic data of the survey sea area includes: the sonar navigation route of the survey sea area is designed as a survey section perpendicular to the density gradient line of the marine organisms to be measured and the shoreline, and the route spacing is determined according to the beam opening angle of the sonar transducer and the measured water depth, so that the acoustic coverage of adjacent routes is connected or overlapped in the target water layer.

[0041] Specifically, firstly, the survey cross-sections are designed. Since the horizontal distribution of marine organisms is usually closely related to water depth, topography, and current fields, density gradient zones easily form along isobaths or shorelines. If the route is parallel to these density gradient zones, the entire route will remain within similar density ranges, thus losing crucial density change information. Conversely, if the route is perpendicular to the density gradient zones, it can cross high-density and low-density areas with the shortest path, making each cross-section a cross-section of density distribution, thereby maximizing the amount of information acquired per unit distance. Therefore, in this embodiment, to ensure that the collected data accurately reflects the horizontal distribution characteristics of marine organisms, the survey cross-sections are designed to be perpendicular to the density gradient lines and shorelines of the marine organisms to be measured. Furthermore, the spacing between routes needs to be reasonably determined. In this embodiment, the spacing between adjacent routes is calculated and determined based on the beam opening angle of the sonar transducer and the measured water depth during navigation, ensuring that the acoustic coverage of adjacent routes connects or partially overlaps in the target water layer, thereby avoiding survey blind spots due to discontinuous coverage and ultimately achieving comprehensive coverage of the survey area.

[0042] In an exemplary embodiment of this application, the effective integration range of the sonar underway acoustic data is set to: from a first preset value downwards from the sonar transducer working interface to a second preset value upwards from the seabed interface, in order to exclude interference from ship wake bubbles and irregular seabed echoes. This setting effectively eliminates interference from bubbles formed by ship wakes on the sea surface and foreign object echoes attached to irregular seabeds, thereby improving the accuracy and reliability of biomass retrieval from acoustic data. It should be noted that in this embodiment, the first preset value is 5 meters and the second preset value is 0.5 meters. In practical applications, the first and second preset values ​​can be flexibly adjusted according to specific working conditions.

[0043] Specifically, please refer to Figure 3 As shown, in this embodiment, a scientific fish finder is used as the sonar acquisition device. It is vertically installed 1 meter below the water surface on the outer side of the starboard side of the ship using a dedicated bracket, without physical contact with the ship hull, to eliminate interference from ship vibration and navigation noise on the acoustic data. The installation depth of the scientific fish finder can be flexibly adjusted according to the actual monitoring needs of the target water layer. The effective integration water layer range is set from 5 meters below the sonar transducer working interface to 0.5 meters above the seabed interface to eliminate the influence of surface bubbles on the ship bottom and irregular echoes near the seabed. It should be noted that, to ensure that the survey area and each water layer are completely covered, the spacing between adjacent routes needs to be dynamically calculated and adjusted in real time based on the measured water depth and the beam angle of the sonar transducer.

[0044] It is worth noting that, to ensure the accuracy of the evaluation results, the collected raw acoustic data needs to be preprocessed. This preprocessing includes, but is not limited to, interference removal, noise reduction, and calibration to eliminate invalid acoustic signals caused by interference factors such as severe sea conditions, ship wake bubbles, and seabed reefs, ensuring the authenticity and reliability of the data within the effective integration water layer. Furthermore, to obtain the biological data necessary for sonar echo image analysis, sampling stations need to be pre-set during the route planning stage. Biological samples are collected using fixed-point bottom trawls, recording key parameters such as species, quantity, body length, and weight. After obtaining the biological characteristics of the target organisms and their corresponding acoustic scattering properties, the sonar echo image can be analyzed, and the integration values ​​can be assigned, thereby achieving the inversion of biomass and spatial distribution.

[0045] Next, step S200 is performed, which involves determining the percentage of the target species, average body length, and average weight in the trawl catch that are used for acoustic assessment, based on the trawl biological data.

[0046] It should be noted that trawls, as a physical sampling method, typically catch a variety of organisms, including swimming organisms, benthic organisms, and planktonic organisms. Therefore, in this embodiment, the target species participating in the acoustic assessment specifically refers to marine organisms in the trawl catch that are capable of swimming and whose backscattering cross-section can be calculated based on their body length using an empirical formula for target intensity, such as fish and shrimp.

[0047] Next, step S300 is executed, which is to calculate the backscattering cross section of each target species based on the average body length of each target species.

[0048] In an exemplary embodiment of this application, step S300 further includes the following steps: S310: Calculate the target intensity of each target species based on its average body length:

[0049] in, For the first Target intensity of the target species, dB, dimensionless; For the first Average body length of the target species, in cm. For the first The target intensity empirical coefficient for the target species, i.e., the b value corresponding to a coefficient of logL of 20; S320: Calculate the backscattering cross section of each target species based on its target intensity:

[0050] in, For the first Backscattering cross section of the target species, m 2 ; For the first Target intensity of the target species, dB, dimensionless.

[0051] Next, step S400 is executed, which involves calculating the population density of each target species using the echo integration method based on the sonar navigation acoustic data, the percentage of each target species, and the backscattering cross section of each target species.

[0052] In an exemplary embodiment of this application, step S400 further includes the following steps: S410: Calculate the average individual backscatter cross section of all target species in the trawl catch based on the percentage of each target species and the backscatter cross section of each target species;

[0053] in, m is the average monomeric backscattering cross section of all target species in the trawl catch. 2 ; For the first Percentage of the target species in the trawl catch, %. For the first Backscattering cross section of the target species, m 2 ; The total number of target species in trawl catches that participated in the acoustic assessment; It should be noted that the above For the first The percentage of the target species in the trawl catch is extracted from the trawl biology data obtained in step 100. For example, anchovies account for 80% and mackerel for 20% of the trawl catch.

[0054] S420: Based on the average backscattering cross section of all target species in the trawl catch, the sonar navigation acoustic data, and the percentage of each target species, the population density of each target species is calculated using the echo integration method.

[0055] in, For the first The population density of the target species, tail km -2 ; For the first Percentage of the target species in the trawl catch, % The area backscattering coefficient per nautical mile in sonar underway acoustic data represents the backscattering area per square nautical mile, with units of m² / nmi². m is the average monomeric backscattering cross section of all target species in the trawl catch. 2 It is worth noting that 1 nautical mile (nmi) is equal to 1.852 kilometers (km).

[0056] It should be noted that, The sea-mile area backscattering coefficient in the sonar underway acoustic data is extracted from the sonar underway acoustic data obtained in step 100 and represents the total acoustic energy reflected back by all organisms within the effective integrated water layer.

[0057] Finally, step S500 is performed, which involves calculating the resource density of each target species based on the number density of each target species and the average weight of each target species.

[0058] In an exemplary embodiment of this application, step S500, namely calculating the resource density of each target species based on the population density and average weight of each target species, is achieved by the following formula:

[0059] in, For the first Resource density of the target species km -2 ; For the first The population density of the target species, tail km -2 ; For the first The average weight of the target species, in grams. It is worth noting that 1 ton (t) equals... Gram (g).

[0060] It should be noted that, for scenarios with densely packed integral range units, the number density calculation no longer uses... Instead, resource density is estimated based on the total area backscattering intensity within the cell.

[0061] Specifically, in an exemplary embodiment of this application, when the horizontal distance between adjacent integral range units is less than or equal to a preset nautical mile value, the resource density of each target species is calculated in the following manner: Based on the total area backscattering intensity within the integral range cell, the number density of each target species within the integral range cell, and the average individual backscattering cross section of all target species, the area backscattering intensity allocated to each target species is calculated:

[0062] in, To be allocated to the first Area backscattering intensity of the target species, dB, dimensionless; The total area backscattering intensity within the integral range cell, in dB, is dimensionless. For the first The population density of the target species within the integral range unit, tail km -2 ; For the first The population density of the target species within the integral range unit, tail km -2 ; m is the average monomeric backscattering cross section for all target species. 2 ; The total number of target species participating in the acoustic assessment within the integral range unit; Based on the area backscattering intensity of each target species and the average single-cell backscattering cross section of all target species, calculate the resource density of each target species within the integral range cell:

[0063] in, For the first Resource density of the target species within the integral range unit. To be allocated to the first Area backscattering intensity of the target species The average monomeric backscattering cross section for all target species.

[0064] The resource quantity of each target species within the integral range unit is calculated using the following formula:

[0065] in, This represents the resource quantity of each target species within the integral range unit. The resource density of each target species within the integral range unit. Let A be the average weight of each target species and A be the area of ​​the integral range unit.

[0066] It should be noted that the dense arrangement of integral range cells refers to the horizontal spacing between adjacent integral range cells being less than or equal to a preset nautical mile value. This is to ensure that the cell density supports grid-based mapping of marine biological resource distribution. In this embodiment, the preset nautical mile value is 0.1 nautical miles. Of course, in other embodiments, the preset nautical mile value can be flexibly adjusted according to specific operating conditions.

[0067] In summary, the sonar cruise monitoring data processing method provided by this invention first acquires sonar cruise acoustic data of the surveyed sea area and trawl biological data collected synchronously with the sonar cruise. Based on the trawl biological data, the percentage of target species, average body length, and average weight in the trawl catch are determined. Then, based on the average body length of each target species, the backscattering cross section of each target species is calculated. Next, based on the sonar cruise acoustic data, the percentage of each target species, and the backscattering cross section, the echo integration method is used to calculate the population density of each target species. Finally, based on the population density and average weight of each target species, the resource density of each target species is calculated. This invention calibrates and distributes sonar cruise acoustic data by synchronously using trawl biological data. This method utilizes the percentage of target species, average body length, and average weight obtained from trawls, combined with the echo integration method, to convert the original acoustic signal into the population density and resource density of target species, achieving a quantitative inversion of the total biological resources and their spatial distribution in the sea area outside the intake. Furthermore, by combining acoustic assessment results with the outbreak mechanism and characteristic thresholds of invasive organisms, this invention can identify biological invasion risks in advance, providing data support for nuclear power plants to formulate interception and salvage strategies and allocate emergency resources. Additionally, through the cruise monitoring data processing method provided by this invention, nuclear power plants can monitor the dynamic changes in offshore biomass in real time, taking effective intervention measures before biological outbreaks occur. This avoids transient events, power reductions, and even shutdowns caused by filter clogging and decreased cooling efficiency, significantly improving the safety and reliability of nuclear power cooling systems.

[0068] Based on the same inventive concept, please refer to Figure 4 As shown, another embodiment of the present invention also provides a sonar cruise monitoring data processing system 100, comprising: Data acquisition module 110 is used to acquire acoustic data from sonar navigation in the survey area and biological data from trawl nets collected synchronously with the sonar navigation. The species parameter determination module 120 is used to determine the percentage of the target species involved in the acoustic assessment, the average body length, and the average weight of the trawl catch based on the synchronous trawl biological data. The backscattering cross section calculation module 130 is used to calculate the backscattering cross section of each target species based on the average body length of each target species. The number density calculation module 140 is used to calculate the number density of each target species using the echo integration method based on the sonar underway acoustic data, the number percentage of each target species, and the backscattering cross section of each target species. The resource density calculation module 150 is used to calculate the resource density of each target species based on the number density of each target species and the average weight of each target species.

[0069] It should be noted that the sonar cruise monitoring data processing system 100 includes the sonar cruise monitoring data processing method described in any of the above embodiments. Since the sonar cruise monitoring data processing system 100 provided in this embodiment belongs to the same inventive concept as the sonar cruise monitoring data processing method provided in any of the above embodiments, it has at least the same beneficial effects, and will not be described in detail here.

[0070] Based on the same inventive concept, please refer to Figure 5 As shown, another embodiment of the present invention also provides an electronic device 11, which may include a memory 111, a processor 112 and a bus, and may also include a computer program stored in the memory 111 and executable on the processor 112, such as a sonar cruise monitoring data processing program.

[0071] The memory 111 includes at least one type of readable storage medium, such as flash memory, portable hard drive, multimedia card, card-type memory (e.g., SD or DX memory), magnetic memory, magnetic disk, optical disk, etc. In some embodiments, the memory 111 can be an internal storage unit of the electronic device 11, such as a portable hard drive of the electronic device 11. In other embodiments, the memory 111 can be an external storage device of the electronic device 11, such as a plug-in portable hard drive, smart media card (SMC), secure digital card (SD), flash card, etc., equipped on the electronic device 11. Furthermore, the memory 111 can include both internal and external storage units of the electronic device 11. The memory 111 can be used not only to store application software and various types of data installed on the electronic device 11, such as code for sonar cruise monitoring data processing, but also to temporarily store data that has been output or will be output.

[0072] In some embodiments, the processor 112 may be composed of integrated circuits, such as a single packaged integrated circuit or multiple integrated circuits packaged with the same or different functions, including combinations of one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and various control chips. The processor 112 is the control unit of the electronic device 11, connecting various components of the electronic device 11 via various interfaces and lines. It executes programs or modules (such as sonar cruise monitoring data processing programs) stored in the memory 111, and calls data stored in the memory 111 to perform various functions and process data for the electronic device 11.

[0073] The processor 112 executes the operating system of the electronic device 11 and various installed applications. The processor 112 executes the applications to implement the steps in the sonar cruise monitoring data processing method described above.

[0074] For example, the computer program may be divided into one or more modules, which are stored in the memory 111 and executed by the processor 112 to complete this application. The one or more modules may be a series of computer program instruction segments capable of performing specific functions, which describe the execution process of the computer program in the electronic device 11. For example, the computer program may be divided into a data acquisition module 110, a species parameter determination module 120, a backscattering cross section calculation module 130, a number density calculation module 140, and a resource density calculation module 150.

[0075] The integrated unit implemented as a software functional module described above can be stored in a computer-readable storage medium, which can be non-volatile or volatile. The software functional module stored in the storage medium includes several instructions to cause a computer device (which may be a personal computer, computer equipment, or network device, etc.) or processor to execute some functions of the cruise monitoring data processing method described in the various embodiments of this application.

[0076] The above embodiments are merely illustrative of the principles and effects of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or alter the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or alterations made by those skilled in the art without departing from the spirit and technical concept disclosed in the present invention should still be covered by the claims of the present invention.

Claims

1. A method for processing sonar cruise monitoring data, characterized in that, include: Acquire acoustic data from sonar navigation in the surveyed sea area and biological data from trawl nets collected synchronously with the sonar navigation; Based on the trawl biological data, determine the percentage of target species, average body length, and average weight in the trawl catch for acoustic assessment. Calculate the backscattering cross section of each target species based on the average body length of each target species; Based on the sonar mobile acoustic data, the percentage of each target species, and the backscattering cross section of each target species, the number density of each target species is calculated using the echo integration method. The resource density of each target species is calculated based on the population density and average weight of each target species.

2. The sonar cruise monitoring data processing method according to claim 1, characterized in that, The acquisition of sonar navigation acoustic data in the surveyed sea area includes: The sonar navigation route in the survey area is designed to be perpendicular to the survey section of the marine organism density gradient line and the shoreline. The route spacing is determined according to the beam opening angle of the sonar transducer and the measured water depth, so that the acoustic coverage of adjacent routes can be connected or overlap in the target water layer.

3. The sonar cruise monitoring data processing method according to claim 1, characterized in that, The effective integration range of the sonar underway acoustic data is set as follows: from a first preset value downward from the sonar transducer working interface to a second preset value upward from the seabed interface, in order to eliminate interference from ship wake bubbles and irregular seabed echoes.

4. The sonar cruise monitoring data processing method according to claim 1, characterized in that, The step of calculating the backscattering cross section of each target species based on the average body length of each target species includes: Calculate the target intensity of each target species based on their average body length: in, For the first Target intensity of the target species For the first The average body length of the target species, For the first Empirical coefficient of target intensity for the target species; Based on the target intensity of each target species, calculate the backscattering cross section of each target species: in, For the first Backscattering cross section of the target species For the first The target intensity of the target species.

5. The sonar cruise monitoring data processing method according to claim 1, characterized in that, The step of calculating the population density of each target species using the echo integration method based on the sonar underway acoustic data, the percentage of each target species, and the backscattering cross-section of each target species includes: Based on the percentage of each target species and the backscattering cross section of each target species, calculate the average single-cell backscattering cross section of all target species in the trawl catch; in, The average monomeric backscattering cross section of all target species in the trawl catch. For the first The percentage of the target species in the trawl catch. For the first Backscattering cross section of the target species The total number of target species in trawl catches that participated in the acoustic assessment; Based on the average backscattering cross section of all target species in the trawl catch, the sonar underway acoustic data, and the percentage of each target species, the population density of each target species is calculated using the echo integration method. in, For the first The population density of the target species For the first The percentage of the target species in the trawl catch. This represents the sea-mile area backscattering coefficient in sonar underway acoustic data. The average monomeric backscattering cross section of all target species in the trawl catch.

6. The sonar cruise monitoring data processing method according to claim 1, characterized in that, The resource density of each target species is calculated based on its population density and average weight, using the following formula: in, For the first Resource density of the target species For the first The population density of the target species For the first The average weight of the target species.

7. The sonar cruise monitoring data processing method according to claim 1, characterized in that, When the horizontal distance between adjacent integral range units is less than or equal to a preset nautical mile value, the resource density of each target species is calculated in the following manner: Based on the total area backscattering intensity within the integral range cell, the number density of each target species within the integral range cell, and the average individual backscattering cross section of all target species, the area backscattering intensity allocated to each target species is calculated: in, To be allocated to the first Area backscattering intensity of the target species The total area backscattering intensity within the integral range cell. For the first The population density of the target species within the integral range unit. For the first The population density of the target species within the integral range unit. The average monomeric backscattering cross section for all target species. The total number of target species participating in the acoustic assessment within the integral range unit; Based on the area backscattering intensity of each target species and the average single-cell backscattering cross section of all target species, calculate the resource density of each target species within the integral range cell: in, For the first Resource density of the target species within the integral range unit; To be allocated to the first Area backscattering intensity of the target species; The average monomeric backscattering cross section for all target species.

8. A sonar cruise monitoring data processing system, characterized in that, The sonar cruise monitoring data processing method described in any one of claims 1 to 7 is used, comprising: The data acquisition module is used to acquire acoustic data from sonar navigation in the survey area and biological data from trawl nets collected synchronously with the sonar navigation. The species parameter determination module is used to determine the percentage of the target species involved in the acoustic assessment, the average body length, and the average weight of the trawl catch based on the synchronous trawl biological data. The backscattering cross section calculation module is used to calculate the backscattering cross section of each target species based on the average body length of each target species. The number density calculation module is used to calculate the number density of each target species using the echo integration method based on the sonar underway acoustic data, the number percentage of each target species, and the backscattering cross section of each target species. The resource density calculation module is used to calculate the resource density of each target species based on the population density and average weight of each target species.

9. An electronic device, characterized in that, The electronic device includes: One or more processors; A storage device for storing one or more programs, which, when executed by one or more processors, cause the electronic device to implement the sonar cruise monitoring data processing method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, It stores a computer program that, when executed by the computer's processor, causes the computer to perform the sonar cruise monitoring data processing method as described in any one of claims 1 to 7.

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