A data processing method and device for underwater acoustic detection simulation

Abstract

The present invention discloses a data processing method and device for underwater acoustic detection simulation, the method comprising: obtaining detection environment equipment information; the detection environment equipment information comprises water environment information, detection object information and detection equipment information; the detection equipment information comprises information of several candidate equipments; performing calculation processing on the detection environment equipment information to obtain target equipment detection performance information; the target equipment detection performance information comprises information of several basic equipment detection performances; performing simulation evaluation and analysis processing on the target equipment detection performance information and the detection environment equipment information to obtain target evaluation result information; the target evaluation result information comprises information of several target scheme evaluation results.

Description

Technical Field

[0001] The present invention relates to the technical field of simulation evaluation, and in particular to a data processing method and device for underwater acoustic detection simulation. Background Art

[0002] Underwater object detection is a complex and large intelligent sensing system, involving many platforms such as underwater observation stations, hydrophone stations, surface equipment, diving equipment, as well as sonar and underwater acoustic countermeasures. There are many platforms and means, and communication between cross-platform detection equipment such as surface and underwater is difficult, and the interaction relationship of various information is complex. Using advanced simulation technology, integrating various types of underwater acoustic physical sound fields and multi-type planning and scheduling platforms, and multi-hydroacoustic equipment elements, with the support of simulation control, computing services, network management and database, simulate the composition, maneuver path and action of underwater acoustic detection and countermeasure equipment system, and provide means to support the use of underwater object detection and early warning means and combat planning, plan design, deduction and evaluation. However, the existing underwater acoustic detection and countermeasure simulation involves many influencing factors, and the evaluation of underwater acoustic detection design schemes mainly relies on manual deduction, which is relatively inefficient and the accuracy needs to be improved. Therefore, a data processing method and device for underwater acoustic detection simulation are provided to improve the accuracy and efficiency of the evaluation of underwater acoustic detection design schemes of intelligent sensing systems equipped with intelligent acoustic wave detection equipment and other equipment, thereby providing support for the use of underwater object detection and early warning means and combat planning, plan design, simulation and evaluation. Summary of the invention

[0003] The technical problem to be solved by the present invention is to provide a data processing method and device for underwater acoustic detection simulation, which is beneficial to improving the accuracy and efficiency of the evaluation of underwater acoustic detection design schemes of intelligent sensing systems equipped with intelligent sound wave detection equipment and other equipment, and further provide support for the use of underwater object detection and early warning means and combat planning, plan design, deduction and evaluation.

[0004] In order to solve the above technical problems, the first aspect of the embodiment of the present invention discloses a data processing method for underwater acoustic detection simulation, the method comprising:

[0005] Acquire detection environment equipment information; the detection environment equipment information includes water environment information, detection object information and detection equipment information; the detection equipment information includes several candidate equipment information; the candidate equipment information includes equipment type, equipment radiation sound intensity, equipment noise sound intensity, emission directivity index, receiving directivity index and equipment coordinate information; the detection object information includes object coordinate information, sound wave reflection intensity, radiation noise sound intensity; the water environment information includes environmental noise sound intensity, water absorption coefficient, water depth, shallow sea attenuation coefficient and environmental field attenuation coefficient;

[0006] Calculating and processing the detection environment equipment information to obtain target equipment detection performance information; the target equipment detection performance information includes a number of equipment basic detection performance information;

[0007] The target device detection performance information and the detection environment device information are simulated, evaluated, analyzed and processed to obtain target evaluation result information; the target evaluation result information includes a plurality of target scheme evaluation result information.

[0008] A second aspect of an embodiment of the present invention discloses a data processing device for underwater acoustic detection simulation, the device comprising:

[0009] An acquisition module is used to acquire detection environment equipment information; the detection environment equipment information includes water environment information, detection object information and detection equipment information; the detection equipment information includes information of several candidate equipment; the candidate equipment information includes equipment type, equipment radiation sound intensity, equipment noise sound intensity, emission directivity index, receiving directivity index and equipment coordinate information; the detection object information includes object coordinate information, sound wave reflection intensity, radiation noise sound intensity; the water environment information includes environmental noise sound intensity, water absorption coefficient, water depth, shallow sea attenuation coefficient and environmental field attenuation coefficient;

[0010] A first processing module is used to calculate and process the detection environment equipment information to obtain target equipment detection performance information; the target equipment detection performance information includes a plurality of equipment basic detection performance information;

[0011] The second processing module is used to perform simulation evaluation and analysis processing on the target device detection performance information and the detection environment equipment information to obtain target evaluation result information; the target evaluation result information includes a plurality of target scheme evaluation result information.

[0012] The third aspect of the present invention discloses another data processing device for underwater acoustic detection simulation, the device comprising:

[0013] A memory storing executable program code;

[0014] a processor coupled to the memory;

[0015] The processor calls the executable program code stored in the memory to execute part or all of the steps in the data processing method for underwater acoustic detection simulation disclosed in the first aspect of the embodiment of the present invention.

[0016] The fourth aspect of the present invention discloses a computer-readable storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute some or all of the steps in the data processing method for underwater acoustic detection simulation disclosed in the first aspect of an embodiment of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use 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 ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0018] Figure 1 is a schematic diagram of a scenario of a data processing system for underwater acoustic detection simulation provided by an embodiment of the present invention;

[0019] Figure 2 It is a flow chart of a data processing method for underwater acoustic detection simulation disclosed in an embodiment of the present invention;

[0020] Figure 3 It is a structural schematic diagram of a data processing device for underwater acoustic detection simulation disclosed in an embodiment of the present invention;

[0021] Figure 4 It is a structural schematic diagram of another data processing device for underwater acoustic detection simulation disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0022] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0023] The terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, device, product or equipment that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units that are not listed, or may optionally include other steps or units that are inherent to these processes, methods, products or equipment.

[0024] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0025] In this application, the word "exemplary" is used to mean "used as an example, illustration, or description." Any embodiment described in this application as "exemplary" is not necessarily to be construed as being preferred or advantageous over other embodiments. The following description is given to enable any technician in the field to implement and use the present application. In the following description, details are listed for the purpose of explanation. It should be understood that a person of ordinary skill in the art can recognize that the present application can be implemented without using these specific details. In other instances, well-known structures and processes will not be elaborated in detail to avoid obscuring the description of the present application with unnecessary details. Therefore, the present application is not intended to be limited to the embodiments shown, but is consistent with the widest scope consistent with the principles and features disclosed in the present application.

[0026] It should be noted that since the method of the embodiment of the present application is executed in a computer device, the processing objects of each computer device exist in the form of data or information. For example, time is actually time information. It can be understood that if size, quantity, position, etc. are mentioned in subsequent embodiments, they are all corresponding data for processing by the computer device. The details will not be repeated here.

[0027] It should be noted that the artificial intelligence related technologies that may be involved in this application are briefly described. Artificial Intelligence (AI) is the theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results. In other words, artificial intelligence is a comprehensive technology in computer science that attempts to understand the essence of intelligence and produce a new intelligent machine that can respond in a similar way to human intelligence. Artificial intelligence is to study the design principles and implementation methods of various intelligent machines so that machines have the functions of perception, reasoning and decision-making.

[0028] Artificial intelligence technology is a comprehensive discipline that covers a wide range of fields, including both hardware-level and software-level technologies. The basic technologies of artificial intelligence generally include sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, big data processing technology, operation / interaction systems, mechatronics and other technologies. Artificial intelligence software technology mainly includes computer vision technology, speech processing technology, natural language processing technology, and machine learning / deep learning.

[0029] Computer Vision (CV) is a science that studies how to make machines "see". To put it more specifically, it refers to machine vision such as using cameras and computers to replace human eyes to identify and measure targets, and further perform graphic processing so that computer processing becomes an image that is more suitable for human eye observation or transmission to instrument detection. As a scientific discipline, computer vision studies related theories and technologies, and attempts to establish an artificial intelligence system that can obtain information from images or multi-dimensional data. Computer vision technology usually includes image processing, image recognition, image semantic understanding, image retrieval, OCR, video processing, video semantic understanding, video content / behavior recognition, three-dimensional object reconstruction, 3D technology, virtual reality, augmented reality, simultaneous positioning and map construction, and other technologies, as well as common biometric recognition technologies such as face recognition and fingerprint recognition.

[0030] Unimodal information is data of only one type, such as text, image, audio, video, electromagnetic signal, etc. Multimodal information is data that includes at least two types of unimodal information. Furthermore, multimodal information is suitable for complex tasks that require the integration of multiple information sources, such as sentiment analysis, robot interaction, autonomous driving, etc. By integrating information from multiple modalities, higher performance and accuracy can usually be achieved on the task.

[0031] A large model refers to an artificial neural network model with a very large number of parameters. In the field of artificial intelligence, a large model generally refers to a model with hundreds of millions to trillions of parameters. Models usually need to be trained on large-scale data sets and require a large amount of computing resources to be optimized and adjusted. Large models are often used to solve complex tasks such as natural language processing, computer vision, and speech recognition. Generative AI is an AI that can create new content and ideas, including conversations, stories, images, videos, and music. In an embodiment of the present application, the large model may be ChatGPT, BERT, XLNet, Zhipu model, Claude, Moonshot AI model, ChatGLM model, Qianyi Tongwen model, MiniMax model, Spark model, Llama model, 360GPT model, Qwen model, Baichuan model, Skylark model, vivoLM model, and Wenxin Yiyan scale language models, which are not limited in the embodiments of the present application.

[0032] The embodiments of the present application provide a data processing method, apparatus, computer equipment, and computer-readable storage medium for underwater acoustic detection simulation, which are described in detail below.

[0033] See also Figure 1 , Figure 1 Schematic diagram of a scenario of a data processing system for underwater acoustic detection simulation provided in an embodiment of the present application. The data processing system for underwater acoustic detection simulation may include a computer device 100, in which a data processing device for underwater acoustic detection simulation is integrated, such as Figure 1 Computer equipment in.

[0034] In the embodiment of the present application, the computer device 100 is mainly used to obtain detection environment equipment information; the detection environment equipment information includes water environment information, detection object information and detection equipment information; the detection equipment information includes several candidate equipment information; the candidate equipment information includes equipment type, equipment radiation sound intensity, equipment noise sound intensity, transmission directivity index, receiving directivity index and equipment coordinate information; the detection object information includes object coordinate information, sound wave reflection intensity, radiation noise sound intensity; the water environment information includes environmental noise sound intensity, water absorption coefficient, water depth, shallow sea attenuation coefficient and environmental field attenuation coefficient;

[0035] Calculate and process the detection environment equipment information to obtain the target equipment detection performance information; the target equipment detection performance information includes several equipment basic detection performance information;

[0036] The target device detection performance information and the detection environment equipment information are simulated, evaluated, analyzed and processed to obtain target evaluation result information; the target evaluation result information includes several target scheme evaluation result information.

[0037] It can improve the accuracy and efficiency of the evaluation of underwater acoustic detection design schemes of intelligent sensing systems equipped with intelligent acoustic wave detection equipment and other equipment, and thus provide support for the use of underwater object detection and early warning methods, combat planning, plan design, simulation and evaluation.

[0038] In the embodiment of the present application, the computer device 100 may be an independent server, or a server network or server cluster composed of servers. For example, the computer device 100 described in the embodiment of the present application includes but is not limited to a computer, a network host, a single network server, a plurality of network server sets or a cloud server composed of a plurality of servers. The cloud server is composed of a large number of computers or network servers based on cloud computing.

[0039] It is understandable that the computer device 100 used in the embodiments of the present application may be a device including both receiving and transmitting hardware, that is, a device having receiving and transmitting hardware capable of performing two-way communication on a two-way communication link. Such a device may include: a cellular or other communication device having a single-line display or a multi-line display or a cellular or other communication device without a multi-line display. The specific computer device 100 may be a desktop terminal or a mobile terminal, and the computer device 100 may also be one of a mobile phone, a tablet computer, a laptop computer, etc.

[0040] Those skilled in the art will understand that Figure 1 The application environment shown in the figure is only one application scenario of the present application solution and does not constitute a limitation on the application scenario of the present application solution. Other application environments may also include Figure 1 More or less computer equipment as shown in Figure 1 Only one computer device is shown. It can be understood that the data processing system for underwater acoustic detection simulation can also include one or more other services, which are not specifically limited here.

[0041] In addition, if Figure 1 As shown, the data processing system for underwater acoustic detection simulation may also include a memory 200 for storing data, such as image data, position information, etc.

[0042] It should be noted that Figure 1 The scenario diagram of the data processing system for underwater acoustic detection simulation shown is merely an example. The data processing system and scenario for underwater acoustic detection simulation described in the embodiment of the present application are intended to more clearly illustrate the technical solution of the embodiment of the present application, and do not constitute a limitation on the technical solution provided in the embodiment of the present application. A person of ordinary skill in the art can appreciate that with the evolution of the data processing system for underwater acoustic detection simulation and the emergence of new business scenarios, the technical solution provided in the embodiment of the present application is equally applicable to similar technical problems.

[0043] The present invention discloses a data processing method and device for underwater acoustic detection simulation, which is beneficial to improving the accuracy and efficiency of underwater acoustic detection design scheme evaluation of intelligent sensing systems equipped with intelligent acoustic wave detection equipment and other equipment, and further provides support for the application of underwater object detection and early warning means and combat planning, plan design, deduction and evaluation, etc. The following are detailed descriptions.

[0044] Embodiment 1

[0045] See also Figure 2 , Figure 2 1 is a flow chart of a data processing method for underwater acoustic detection simulation disclosed in an embodiment of the present invention. Figure 2The data processing method for underwater acoustic detection simulation described is applied to a management system, such as a local server or a cloud server for management, and the embodiments of the present invention are not limited thereto. Figure 2 As shown, the data processing method for underwater acoustic detection simulation may include the following operations:

[0046] 101. Obtain detection environment equipment information.

[0047] In an embodiment of the present invention, the detection environment equipment information includes water environment information, detection object information and detection equipment information; the detection equipment information includes several pieces of alternative equipment information; the alternative equipment information includes equipment type, equipment radiation sound intensity, equipment noise sound intensity, transmission directivity index, reception directivity index and equipment coordinate information; the detection object information includes object coordinate information, sound wave reflection intensity, radiation noise sound intensity; the water environment information includes environmental noise sound intensity, water absorption coefficient, water depth, shallow sea attenuation coefficient and environmental field attenuation coefficient.

[0048] 102. Calculate and process the detection environment equipment information to obtain the target equipment detection performance information.

[0049] In the embodiment of the present invention, the target device detection performance information includes a plurality of device basic detection performance information.

[0050] 103. Perform simulation evaluation and analysis on the target device detection performance information and the detection environment equipment information to obtain target evaluation result information.

[0051] In the embodiment of the present invention, the target evaluation result information includes a plurality of target scheme evaluation result information.

[0052] It should be noted that the above-mentioned water environment information is mainly for the ocean and hydrological environment, and provides parameter information such as sound velocity gradient data, seabed bottom quality, sea state level, wind speed, wave height, etc., which is not limited in the embodiments of the present invention.

[0053] It should be noted that the above-mentioned detection object information mainly refers to parameter information such as self-noise, flow noise, radiation noise, directivity, etc. of the target, and the embodiment of the present invention does not limit this.

[0054] Furthermore, water environment information and detection object information can be obtained from an environmental parameter database (such as the CODC-GOSD marine science data of the National Oceanic and Atmospheric Science Data Center, etc.) or a formatted data file to obtain environmental data for a specified sea area and a relevant time period, which is not limited in the embodiments of the present invention.

[0055] It should be noted that the above detection equipment information is mainly for surface and underwater equipment equipped with sonar, and presets sonar working frequency band, working mode, sound source level, emission directivity, detection threshold, front and rear blind areas and other parameter information, which are not limited in the embodiments of the present invention. Furthermore, the above surface and underwater equipment includes various types of intelligent sonar sensors and corresponding intelligent sensor elements to efficiently sense surface and underwater sound wave signals, which are not limited in the embodiments of the present invention.

[0056] It should be noted that the radiated sound intensity of the above-mentioned device is a default radiated sound source level, which is determined by the radiated sound source device. Its value is the sound intensity level at 1 meter away from the sound source, in decibels, and is not limited in the embodiment of the present invention.

[0057] It should be noted that the value of the above-mentioned emission directivity index is determined by the directivity device, that is, it can be obtained by looking up a table or description after the device is determined, and the unit is decibel, which is not limited in the embodiment of the present invention.

[0058] It should be noted that the above-mentioned water absorption coefficient represents the seawater absorption coefficient (dB / km), that is, the seawater's ability to absorb a certain amount of electromagnetic wave energy, to indicate the attenuation of electromagnetic waves of different frequencies when propagating in seawater, which is related to the frequency of the acoustic signal and is not limited in the embodiments of the present invention.

[0059] It should be noted that the above-mentioned shallow sea attenuation coefficient (the shallow sea attenuation coefficient characterizes the absorption capacity of water to sound waves in the shallow sea) and the environmental field attenuation coefficient (the environmental field attenuation coefficient characterizes the abnormal attenuation of the near field) are related to the frequency of the sound signal, the seabed sediment, and the sea conditions, and are not limited to the embodiments of the present invention.

[0060] It should be noted that the above-mentioned equipment noise intensity represents the noise source level of the equipment, which comes from the equipment platform equipped with sonar, including propulsion devices, propellers and auxiliary machinery, etc., and the unit is decibel, which is not limited in the embodiment of the present invention.

[0061] It should be noted that the above-mentioned environmental noise intensity represents the noise source level of the ocean water environment, which is not limited in the embodiment of the present invention. Furthermore, the first environmental noise intensity, the flow noise source level, mainly comes from the noise caused by the relative flow velocity between the seawater and the equipment platform equipped with the sonar, and the unit is decibel, which is not limited in the embodiment of the present invention. The second environmental noise intensity represents the ocean background noise source level, which is composed of sound waves emitted by a large number of various noise sources in the ocean, and the unit is decibel, which is not limited in the embodiment of the present invention.

[0062] It should be noted that the above-mentioned receiving directivity index characterizes the ability of the receiving system to suppress background noise, and is mainly composed of two parts, namely, the default receiving directivity index and the decibel number by which the sound waves received with receiving directivity are higher than those without receiving directivity, and the embodiments of the present invention do not limit this.

[0063] It should be noted that the above-mentioned radiated noise intensity represents the passive detection target radiation sound source level, that is, the target radiated noise intensity level measured 1 meter away from the target acoustic center in the direction of the receiving hydrophone acoustic axis, which can be directly obtained from the environmental parameter database or input by the user, and is not limited in the embodiment of the present invention.

[0064] It should be noted that the above-mentioned sound wave reflection intensity represents the target reflected sound wave, which can be directly obtained from the environmental parameter database or input by the user, and the embodiment of the present invention does not limit this.

[0065] It should be noted that after the above-mentioned simulation evaluation and analysis processing of the target device detection performance information and the detection environment equipment information is obtained, the evaluation result data and the calculation results of the indicators in the evaluation task can be presented in the form of tables, statistical charts, cross tables, etc., and the experimental report can be generated in the style of a report template, which is not limited to the embodiments of the present invention.

[0066] It can be seen that the implementation of the data processing method for underwater acoustic detection simulation described in the embodiment of the present invention is conducive to improving the accuracy and efficiency of the evaluation of underwater acoustic detection design schemes for intelligent sensing systems equipped with intelligent acoustic wave detection equipment and other equipment, thereby providing support for the use of underwater object detection and early warning means and combat planning, plan design, deduction and evaluation.

[0067] In an optional embodiment, the above-mentioned calculation and processing of the detection environment equipment information to obtain the target equipment detection performance information includes:

[0068] For any candidate device information in the detection device information in the detection environment device information, the candidate device information, the water environment information and the detection object information are calculated and processed to obtain the device calculation performance information corresponding to the candidate device information; the device calculation performance information includes the first device calculation performance information, the second device calculation performance information and the third device calculation performance information;

[0069] The receiving directivity index, device computing performance information and detection object information corresponding to the candidate device information are calculated and processed to obtain the device basic detection performance information corresponding to the candidate device information.

[0070] It should be noted that the above-mentioned target equipment detection performance information mainly calculates static sonar performance data, and queries the detection performance data of various types of sonar equipment based on sonar measured data. It supports the comparison of single sonar range under different working conditions, and the comparative analysis of sonar range under different speeds, depths and incident angles, providing data basis for subsequent experimental simulation of the scheme.

[0071] It can be seen that the implementation of the data processing method for underwater acoustic detection simulation described in the embodiment of the present invention is conducive to improving the accuracy and efficiency of the evaluation of underwater acoustic detection design schemes for intelligent sensing systems equipped with intelligent acoustic wave detection equipment and other equipment, thereby providing support for the use of underwater object detection and early warning means and combat planning, plan design, deduction and evaluation.

[0072] In another optional embodiment, the candidate device information, the water environment information and the detection object information are calculated and processed to obtain the device computing performance information corresponding to the candidate device information, including:

[0073] The candidate device information is calculated and processed using a first performance calculation model to obtain first device calculation performance information corresponding to the candidate device information;

[0074] Among them, the first performance calculation model is:

[0075] A=B+C;

[0076] In the formula, A represents the computing performance information of the first device; B represents the radiated sound intensity of the device; C represents the emission directivity index;

[0077] Perform distance calculation processing on the device coordinate information corresponding to the candidate device information and the object coordinate information corresponding to the detection object information to obtain a device-object distance value corresponding to the candidate device information;

[0078] Determine, based on the device object distance value and the water environment information, the second device computing performance information corresponding to the candidate device information;

[0079] The second performance calculation model is used to calculate and process the candidate device information and the water environment information to obtain third device calculation performance information corresponding to the candidate device information;

[0080] Among them, the second performance calculation model is:

[0081]

[0082] Wherein, D0 represents the computing performance information of the third device; D1 represents the device noise intensity; D2 and D3 represent the first ambient noise intensity and the second ambient noise intensity in the ambient noise intensity, respectively.

[0083] It should be noted that the above-mentioned first device calculation performance information is the active detection radiation sound source level, which is the sound source level of the sound source radiation emitted by the sound source transmitting array, and the embodiment of the present invention does not limit this.

[0084] It should be noted that the performance information calculated by the above-mentioned second device is a one-way propagation loss, which is composed of attenuation loss and expansion loss. The attenuation loss varies linearly with distance, and the expansion loss is a geometric effect of regular weakening of sound energy as it expands outward from the sound source. These losses are related to the frequency of the sound waves, the salinity and pressure of the seawater, and are not limited in the embodiments of the present invention.

[0085] It should be noted that the third device calculates the performance information representing the background noise source level, which is not limited in the embodiment of the present invention.

[0086] It should be noted that the device coordinate information corresponding to the above-mentioned alternative device information and the object coordinate information corresponding to the detection object information are two-dimensional coordinates, which can be the coordinates obtained by the Beidou positioning system, the coordinates obtained by the GPS positioning system, or the coordinates entered by the user, and the embodiments of the present invention are not limited thereto.

[0087] It can be seen that the implementation of the data processing method for underwater acoustic detection simulation described in the embodiment of the present invention is conducive to improving the accuracy and efficiency of the evaluation of underwater acoustic detection design schemes for intelligent sensing systems equipped with intelligent acoustic wave detection equipment and other equipment, thereby providing support for the use of underwater object detection and early warning means and combat planning, plan design, deduction and evaluation.

[0088] In yet another optional embodiment, determining the second device computing performance information corresponding to the candidate device information based on the device-object distance value and the water environment information includes:

[0089] Determining a first distance threshold and a second distance threshold based on the device-object distance value and the water depth;

[0090] Determine whether the device-object distance value is less than or equal to a first distance threshold, and obtain a first distance determination result;

[0091] When the first distance judgment result is yes, the device object distance value and the water environment information are calculated and processed using the third performance calculation model to obtain the second device calculation performance information corresponding to the candidate device information;

[0092] Among them, the third performance calculation model is:

[0093] E=20·logR+α·R+β-K L ;

[0094] Where, E represents the computing performance information of the second device; R represents the device object distance value; α represents the water absorption coefficient; K L Characterizes the environmental field attenuation coefficient; β characterizes the first detection loss coefficient;

[0095] When the first distance judgment result is no, determining whether the device-object distance value is less than or equal to a second distance threshold, and obtaining a second distance judgment result;

[0096] When the second distance judgment result is yes, the fourth performance calculation model is used to calculate and process the device object distance value and the water environment information to obtain the second device calculation performance information corresponding to the candidate device information;

[0097] Among them, the fourth performance calculation model is:

[0098] E=15·log R+α·R+ε·(R / F-1)+5·log F+β-K L ;

[0099] Where, F represents the water depth; ε represents the shallow sea attenuation coefficient;

[0100] When the second distance judgment result is no, the fifth performance calculation model is used to calculate and process the device object distance value and the water environment information to obtain the second device calculation performance information corresponding to the candidate device information;

[0101] Among them, the fifth performance calculation model is:

[0102] E=10·log R+α·R+ε·(R / F-1)+10·log F+γ-K L ;

[0103] Wherein, γ represents the second detection loss coefficient.

[0104] It should be noted that the first detection loss coefficient is smaller than the second detection loss coefficient, which is not limited in the embodiment of the present invention. Further, the first detection loss coefficient and the second detection loss coefficient are positive numbers between 55 and 65, which are not limited in the embodiment of the present invention.

[0105] In this optional embodiment, as an optional implementation manner, the first distance threshold and the second distance threshold are determined based on the device-object distance value and the water depth, including:

[0106] Using a first distance calculation model to calculate the device object distance value and the water depth to obtain a first distance threshold;

[0107] Among them, the first distance calculation model is:

[0108]

[0109] Where, Y1 represents the first distance threshold;

[0110] The first distance threshold is calculated using a second distance calculation model to obtain a second distance threshold;

[0111] Among them, the first distance calculation model is:

[0112] Y2=8·Y1;

[0113] Wherein, Y2 represents the second distance threshold.

[0114] It can be seen that the implementation of the data processing method for underwater acoustic detection simulation described in the embodiment of the present invention is conducive to improving the accuracy and efficiency of the evaluation of underwater acoustic detection design schemes for intelligent sensing systems equipped with intelligent acoustic wave detection equipment and other equipment, thereby providing support for the use of underwater object detection and early warning means and combat planning, plan design, deduction and evaluation.

[0115] In yet another optional embodiment, the receiving directivity index, the device computing performance information, and the detection object information corresponding to the candidate device information are calculated and processed to obtain the device basic detection performance information corresponding to the candidate device information, including:

[0116] Determine whether the device type corresponding to the candidate device information is the first device type, and obtain a type determination result;

[0117] When the type judgment result is yes, the receiving directivity index, device calculation performance information and detection object information corresponding to the candidate device information are calculated and processed using the first type performance calculation model to obtain the device basic detection performance information corresponding to the candidate device information;

[0118] Among them, the first type of performance calculation model is:

[0119] DT=A-2·E+TS-D0+DI;

[0120] In the formula, DT represents the basic detection performance information of the equipment; TS represents the sound wave reflection intensity; DI represents the receiving directivity index;

[0121] When the type judgment result is no, the device calculation performance information and the detection object information are calculated and processed using the second type performance calculation model to obtain the basic detection performance information of the device corresponding to the candidate device information;

[0122] Among them, the first type of performance calculation model is:

[0123] DT=SL-E-D0+DI;

[0124] Where SL represents the sound intensity of radiated noise.

[0125] It should be noted that the above-mentioned device types include a first device type (active detection type) and a second device type (passive detection type), which is not limited in the embodiment of the present invention.

[0126] It can be seen that the implementation of the data processing method for underwater acoustic detection simulation described in the embodiment of the present invention is conducive to improving the accuracy and efficiency of the evaluation of underwater acoustic detection design schemes for intelligent sensing systems equipped with intelligent acoustic wave detection equipment and other equipment, thereby providing support for the use of underwater object detection and early warning means and combat planning, plan design, deduction and evaluation.

[0127] In an optional embodiment, the above-mentioned simulation evaluation and analysis processing of the target device detection performance information and the detection environment device information to obtain the target evaluation result information includes:

[0128] Display the target device detection performance information and detection environment equipment information;

[0129] In response to a user input instruction based on the displayed information, obtaining detection device solution information;

[0130] Simulate the detection equipment scheme information to obtain scheme simulation result information; the scheme simulation result information includes several scheme deduction result information;

[0131] Based on the scheme simulation result information, the target evaluation result information is determined.

[0132] It should be noted that the above-mentioned display of the target device detection performance information and the detection environment device information is to display the information in the simulation system, which is not limited in the embodiment of the present invention.

[0133] Furthermore, the above-mentioned simulation and deduction system can be an agent-based automatic combat plan generation system, or it can be an automatic plan generation simulation and deduction system constructed based on a deep reinforcement learning method (such as an automatic plan generation simulation and deduction system constructed based on the CN116151363A distributed reinforcement learning system), and the embodiments of the present invention do not limit this.

[0134] It should be noted that the above-mentioned response to the user's input instruction based on the displayed information to obtain the detection equipment solution information is that the user evaluates and considers the displayed target equipment detection performance information and detection environment equipment information in the simulation system, and then performs an input selection operation in the system. Based on the strong correlation between detection behavior and personnel and equipment, the detection personnel allocation plan and the detection equipment configuration plan based on the behavior tree are generated by using association search, knowledge graph and other methods. Based on the location information of the detection personnel and the detection equipment, the path planning plan for the detection personnel equipment to the detection area is generated in combination with the detection target, which is not limited in the embodiment of the present invention. It should be noted that the above-mentioned detection area is mainly used to determine the task scope of the underwater acoustic detection system, that is, the detection activity scope. The geographical location information of the detection area can be obtained from the historical area setting information in the task database, or a new detection area can be created by selecting points on the map, inputting coordinates and other methods, which is not limited in the embodiment of the present invention. The detection personnel equipment recommendation is mainly used to select appropriate personnel equipment from the currently available personnel equipment to form the personnel equipment for performing the detection task. The recommendation process sorts the detection personnel equipment according to indicators such as the call time or detection capability, and the available personnel equipment selects the detection personnel equipment according to the needs. Among them: the call time index refers to the straight-line distance from each detector equipment to the initial search origin calculated based on the latitude and longitude information of each detector equipment with a certain geometric center as the origin, and the time to the origin is calculated based on the maneuvering speed of each detector equipment. Recommended detectors are arranged in order from small to large according to the call time. The detection capability index is based on the basic detection performance information of all detector equipment (such as the detection area per unit time, detection distance, etc.), and the recommended detector equipment is arranged in order from large to small according to the basic detection performance information of the equipment. The path planning scheme represents the detection route, such as the surface equipment detection route mode includes an extended square search mode, a parallel round-trip search mode, a zigzag search route, a straight round-trip search mode, and an L-shaped round-trip search mode; the aerial equipment detection route mode includes a rectangular array search mode, a circular array search mode, and an "8" array search mode, which is not limited in the embodiments of the present invention.

[0135] It should be noted that after setting the above-mentioned conventional scheme, a single-platform early warning scheme can also be included, which is mainly for a single detection platform. Based on the number of valid target echoes received by the detection device, several early warning results such as "undetected target", "detected target", "tracked target" and "identified target" are made according to the number of valid echoes. There are two ways to judge the effective target echo: "continuous judgment" and "threshold judgment". The continuous judgment method means that during the early warning detection process, the detection device receives a valid target echo for N consecutive cycles; the threshold judgment method means that during the early warning detection process, the detection device receives a valid target echo for no less than n cycles out of N cycles. The initiator equipment and the responder equipment of both methods are on the same platform, without termination conditions, until the simulation is completed, and the embodiments of the present invention do not limit this.

[0136] It should be noted that the above-mentioned simulation processing of the detection equipment scheme information obtains the scheme simulation result information, and the detection equipment scheme information, the target equipment detection performance information, the water environment information, the detection object information and the detection equipment information are input into the simulation module in the simulation deduction system, and the simulation operation is performed to obtain the corresponding scheme simulation result information, which is not limited in the embodiment of the present invention. During the simulation deduction, the experimental factors are determined by designing influencing factors (such as speed and depth), and single or multiple experimental files are generated as needed, and then the simulation calculation resources are applied to simulate the experimental scheme to form a single scheme single sample, a single scheme multiple samples, multiple schemes and multiple samples and other experimental simulation results. Set a separate sample for a typical action plan to form a single sample of a single plan for simulation. Based on the typical action plan, the influencing factors in the plan are set to form multiple samples for a single plan, and simulation deduction is performed based on multiple samples. Based on multiple action plans, the influencing factors in multiple plans are set to form multiple samples for multiple plans, and simulation is performed based on multiple samples of multiple plans, which is not limited in the embodiment of the present invention.

[0137] It can be seen that the implementation of the data processing method for underwater acoustic detection simulation described in the embodiment of the present invention is conducive to improving the accuracy and efficiency of the evaluation of underwater acoustic detection design schemes for intelligent sensing systems equipped with intelligent acoustic wave detection equipment and other equipment, thereby providing support for the use of underwater object detection and early warning means and combat planning, plan design, deduction and evaluation.

[0138] In another optional embodiment, based on the solution simulation result information, target evaluation result information is determined, including:

[0139] Obtain evaluation weight coefficient information;

[0140] For any scheme deduction result information in the scheme simulation result information, the target scheme evaluation result information corresponding to the scheme deduction result information is determined based on the evaluation weight coefficient information and the scheme deduction result information.

[0141] It should be noted that the above scheme simulation result information includes the first detection range, the time of losing the target, the total time of tracking the target, and the number of times the target is tracked, which is not limited in the embodiment of the present invention.

[0142] In this optional embodiment, as an optional implementation manner, the obtaining of the evaluation weight coefficient information includes:

[0143] Get the initial weight matrix;

[0144] The initial weight matrix is ​​calculated and processed by using a weight calculation model to obtain initial weight coefficient information; the initial weight coefficient information includes a number of initial weight coefficients;

[0145] Among them, the weight calculation model is:

[0146]

[0147] In the formula, Q i Represents the i-th initial weight coefficient; x ij Represents the matrix element with coordinates (i, j) in the initial weight matrix; m represents the number of columns of the initial weight matrix;

[0148] The normalization model is used to perform normalization calculation on the initial weight coefficient information to obtain normalized weight coefficient information; the normalized initial weight coefficient information includes a plurality of normalized weight coefficients;

[0149] Among them, the normalized model is:

[0150]

[0151] In the formula, GQ i Represents the i-th normalized weight coefficient; Q k represents the kth initial weight coefficient; K represents the number of initial weight coefficients;

[0152] The first four normalized weight coefficients in the normalized weight coefficient information are determined as the evaluation weight coefficients in the evaluation weight coefficient information.

[0153] It should be noted that the number of the above initial weight coefficients is consistent with the number of rows of the initial weight matrix, and this embodiment of the present invention does not limit this.

[0154] It should be noted that the above-mentioned initial weight matrix is ​​a randomly generated matrix of any one of the specifications of 4×4, 5×5, 5×6, 6×6, 6×5, and 7×7 (the limitation of the matrix specifications not only limits the amount of data calculation, but also ensures the flexibility of the weight calculation process, so that it can get rid of the limitation of empirical data to a certain extent, which is more conducive to the accurate evaluation of the scheme). Furthermore, the values ​​of the matrix elements are randomly generated, and their values ​​are between 0.6-0.95, which is not limited in the embodiment of the present invention. Furthermore, the above-mentioned range of 0.6-0.95 is determined by a large amount of statistical data. Under the premise of following the statistical laws of big data, this application also ensures a certain variability through random generation, improves the flexibility of data analysis, and is more conducive to the accurate and efficient evaluation of the scheme, and improves the applicability of the scheme evaluation process under underwater acoustic detection simulation conditions, which is not limited in the embodiment of the present invention.

[0155] It should be noted that the sum of the evaluation weight coefficients in the above evaluation weight coefficient information is a positive number not greater than 1, which is not limited in the embodiment of the present invention. Further, the above evaluation weight coefficients only need to be consistent, thereby ensuring the consistency of the evaluation weights, which is more conducive to accurate evaluation, which is not limited in the embodiment of the present invention.

[0156] It should be noted that the above-mentioned target scheme evaluation result information corresponding to the scheme deduction result information is determined based on the evaluation weight coefficient information and the scheme deduction result information, which is obtained by multiplying the evaluation weight coefficient in the evaluation weight coefficient information with the normalized first detection range, target loss time, total target tracking time, and number of target tracking times one by one, and then summing them up. The embodiment of the present invention does not limit this. Furthermore, the normalization processing of the above-mentioned first detection range, target loss time, total target tracking time, and number of target tracking times is to select the largest one of the single scheme deduction result values ​​(one of the first detection range, target loss time, total target tracking time, and number of target tracking times) corresponding to all scheme deduction result information, and then divide the single scheme deduction result value corresponding to the scheme deduction result information by the largest value, that is, to achieve normalization, which is not limited by the embodiment of the present invention.

[0157] It can be seen that the implementation of the data processing method for underwater acoustic detection simulation described in the embodiment of the present invention is conducive to improving the accuracy and efficiency of the evaluation of underwater acoustic detection design schemes for intelligent sensing systems equipped with intelligent acoustic wave detection equipment and other equipment, thereby providing support for the use of underwater object detection and early warning means and combat planning, plan design, deduction and evaluation.

[0158] Embodiment 2

[0159] See also Figure 3 , Figure 31 is a schematic diagram of a data processing device for underwater acoustic detection simulation disclosed in an embodiment of the present invention. Figure 3 The described device can be applied to a management system, such as a local server or a cloud server for management, etc., which is not limited in the embodiments of the present invention. Figure 3 As shown, the device may include:

[0160] Acquisition module 201, used to acquire detection environment equipment information; the detection environment equipment information includes water environment information, detection object information and detection equipment information; the detection equipment information includes several candidate equipment information; the candidate equipment information includes equipment type, equipment radiation sound intensity, equipment noise sound intensity, transmission directivity index, receiving directivity index and equipment coordinate information; the detection object information includes object coordinate information, sound wave reflection intensity, radiation noise sound intensity; the water environment information includes environmental noise sound intensity, water absorption coefficient, water depth, shallow sea attenuation coefficient and environmental field attenuation coefficient;

[0161] The first processing module 202 is used to calculate and process the detection environment equipment information to obtain the target equipment detection performance information; the target equipment detection performance information includes a number of equipment basic detection performance information;

[0162] The second processing module 203 is used to perform simulation evaluation and analysis processing on the target device detection performance information and the detection environment device information to obtain target evaluation result information; the target evaluation result information includes a plurality of target solution evaluation result information.

[0163] It can be seen that implementation Figure 3 The described data processing device for underwater acoustic detection simulation is conducive to improving the accuracy and efficiency of the evaluation of underwater acoustic detection design schemes of intelligent sensing systems equipped with intelligent acoustic wave detection equipment and other equipment, thereby providing support for the use of underwater object detection and early warning means and combat planning, plan design, simulation and evaluation.

[0164] In another optional embodiment, Figure 3 As shown, the first processing module 202 calculates and processes the detection environment equipment information to obtain the target equipment detection performance information, including:

[0165] For any candidate device information in the detection device information in the detection environment device information, the candidate device information, the water environment information and the detection object information are calculated and processed to obtain the device calculation performance information corresponding to the candidate device information; the device calculation performance information includes the first device calculation performance information, the second device calculation performance information and the third device calculation performance information;

[0166] The receiving directivity index, device computing performance information and detection object information corresponding to the candidate device information are calculated and processed to obtain the device basic detection performance information corresponding to the candidate device information.

[0167] It can be seen that implementation Figure 3 The described data processing device for underwater acoustic detection simulation is conducive to improving the accuracy and efficiency of the evaluation of underwater acoustic detection design schemes of intelligent sensing systems equipped with intelligent acoustic wave detection equipment and other equipment, thereby providing support for the use of underwater object detection and early warning means and combat planning, plan design, simulation and evaluation.

[0168] In yet another optional embodiment, Figure 3 As shown, the first processing module 202 performs calculation processing on the candidate device information, the water environment information and the detection object information to obtain the device calculation performance information corresponding to the candidate device information, including:

[0169] The candidate device information is calculated and processed using a first performance calculation model to obtain first device calculation performance information corresponding to the candidate device information;

[0170] Among them, the first performance calculation model is:

[0171] A=B+C;

[0172] In the formula, A represents the computing performance information of the first device; B represents the radiated sound intensity of the device; C represents the emission directivity index;

[0173] Perform distance calculation processing on the device coordinate information corresponding to the candidate device information and the object coordinate information corresponding to the detection object information to obtain a device-object distance value corresponding to the candidate device information;

[0174] Determine, based on the device object distance value and the water environment information, the second device computing performance information corresponding to the candidate device information;

[0175] The second performance calculation model is used to calculate and process the candidate device information and the water environment information to obtain third device calculation performance information corresponding to the candidate device information;

[0176] Among them, the second performance calculation model is:

[0177]

[0178] Wherein, D0 represents the computing performance information of the third device; D1 represents the device noise intensity; D2 and D3 represent the first ambient noise intensity and the second ambient noise intensity in the ambient noise intensity, respectively.

[0179] It can be seen that implementation Figure 3The described data processing device for underwater acoustic detection simulation is conducive to improving the accuracy and efficiency of the evaluation of underwater acoustic detection design schemes of intelligent sensing systems equipped with intelligent acoustic wave detection equipment and other equipment, thereby providing support for the use of underwater object detection and early warning means and combat planning, plan design, simulation and evaluation.

[0180] In yet another optional embodiment, Figure 3 As shown, the first processing module 202 determines the second device computing performance information corresponding to the candidate device information based on the device object distance value and the water environment information, including:

[0181] Determining a first distance threshold and a second distance threshold based on the device-object distance value and the water depth;

[0182] Determine whether the device-object distance value is less than or equal to a first distance threshold, and obtain a first distance determination result;

[0183] When the first distance judgment result is yes, the device object distance value and the water environment information are calculated and processed using the third performance calculation model to obtain the second device calculation performance information corresponding to the candidate device information;

[0184] Among them, the third performance calculation model is:

[0185] E=20·log R+α·R+β-K L ;

[0186] Where, E represents the computing performance information of the second device; R represents the device object distance value; α represents the water absorption coefficient; K L Characterizes the environmental field attenuation coefficient; β characterizes the first detection loss coefficient;

[0187] When the first distance judgment result is no, determining whether the device-object distance value is less than or equal to a second distance threshold, and obtaining a second distance judgment result;

[0188] When the second distance judgment result is yes, the fourth performance calculation model is used to calculate and process the device object distance value and the water environment information to obtain the second device calculation performance information corresponding to the candidate device information;

[0189] Among them, the fourth performance calculation model is:

[0190] E=15·log R+α·R+ε·(R / F-1)+5·log F+β-K L ;

[0191] Where, F represents the water depth; ε represents the shallow sea attenuation coefficient;

[0192] When the second distance judgment result is no, the fifth performance calculation model is used to calculate and process the device object distance value and the water environment information to obtain the second device calculation performance information corresponding to the candidate device information;

[0193] Among them, the fifth performance calculation model is:

[0194] E=10·log R+α·R+ε·(R / F-1)+10·log F+γ-K L ;

[0195] Wherein, γ represents the second detection loss coefficient.

[0196] It can be seen that implementation Figure 3 The described data processing device for underwater acoustic detection simulation is conducive to improving the accuracy and efficiency of the evaluation of underwater acoustic detection design schemes of intelligent sensing systems equipped with intelligent acoustic wave detection equipment and other equipment, thereby providing support for the use of underwater object detection and early warning means and combat planning, plan design, simulation and evaluation.

[0197] In yet another optional embodiment, Figure 3 As shown, the first processing module 202 calculates and processes the receiving directivity index, device computing performance information and detection object information corresponding to the candidate device information to obtain the device basic detection performance information corresponding to the candidate device information, including:

[0198] Determine whether the device type corresponding to the candidate device information is the first device type, and obtain a type determination result;

[0199] When the type judgment result is yes, the receiving directivity index, device calculation performance information and detection object information corresponding to the candidate device information are calculated and processed using the first type performance calculation model to obtain the device basic detection performance information corresponding to the candidate device information;

[0200] Among them, the first type of performance calculation model is:

[0201] DT=A-2·E+TS-D0+DI;

[0202] In the formula, DT represents the basic detection performance information of the equipment; TS represents the sound wave reflection intensity; DI represents the receiving directivity index;

[0203] When the type judgment result is no, the device calculation performance information and the detection object information are calculated and processed using the second type performance calculation model to obtain the basic detection performance information of the device corresponding to the candidate device information;

[0204] Among them, the first type of performance calculation model is:

[0205] DT=SL-E-D0+DI;

[0206] Where SL represents the sound intensity of radiated noise.

[0207] It can be seen that implementation Figure 3 The described data processing device for underwater acoustic detection simulation is conducive to improving the accuracy and efficiency of the evaluation of underwater acoustic detection design schemes of intelligent sensing systems equipped with intelligent acoustic wave detection equipment and other equipment, thereby providing support for the use of underwater object detection and early warning means and combat planning, plan design, simulation and evaluation.

[0208] In yet another optional embodiment, Figure 3 As shown, the second processing module 203 performs simulation evaluation and analysis processing on the target device detection performance information and the detection environment device information to obtain target evaluation result information, including:

[0209] Display the target device detection performance information and detection environment equipment information;

[0210] In response to a user input instruction based on the displayed information, obtaining detection device solution information;

[0211] Simulate the detection equipment scheme information to obtain scheme simulation result information; the scheme simulation result information includes several scheme deduction result information;

[0212] Based on the scheme simulation result information, the target evaluation result information is determined.

[0213] It can be seen that implementation Figure 3 The described data processing device for underwater acoustic detection simulation is conducive to improving the accuracy and efficiency of the evaluation of underwater acoustic detection design schemes of intelligent sensing systems equipped with intelligent acoustic wave detection equipment and other equipment, thereby providing support for the use of underwater object detection and early warning means and combat planning, plan design, simulation and evaluation.

[0214] In yet another optional embodiment, Figure 3 As shown, the second processing module 203 determines target evaluation result information based on the solution simulation result information, including:

[0215] Obtain evaluation weight coefficient information;

[0216] For any scheme deduction result information in the scheme simulation result information, the target scheme evaluation result information corresponding to the scheme deduction result information is determined based on the evaluation weight coefficient information and the scheme deduction result information.

[0217] It can be seen that implementation Figure 3The described data processing device for underwater acoustic detection simulation is conducive to improving the accuracy and efficiency of the evaluation of underwater acoustic detection design schemes of intelligent sensing systems equipped with intelligent acoustic wave detection equipment and other equipment, thereby providing support for the use of underwater object detection and early warning means and combat planning, plan design, simulation and evaluation.

[0218] Embodiment 3

[0219] See also Figure 4 , Figure 4 is a structural diagram of another data processing device for underwater acoustic detection simulation disclosed in an embodiment of the present invention. Figure 4 The described device can be applied to a management system, such as a local server or a cloud server for management, etc., which is not limited in the embodiments of the present invention. Figure 4 As shown, the device may include:

[0220] A memory 301 storing executable program codes;

[0221] a processor 302 coupled to the memory 301;

[0222] The processor 302 calls the executable program code stored in the memory 301 to execute the steps in the data processing method for underwater acoustic detection simulation described in the first embodiment.

[0223] Embodiment 4

[0224] An embodiment of the present invention discloses a computer-readable storage medium storing a computer program for electronic data exchange, wherein the computer program enables a computer to execute the steps of the data processing method for underwater acoustic detection simulation described in the first embodiment.

[0225] Embodiment 5

[0226] An embodiment of the present invention discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to enable a computer to execute the steps in the data processing method for underwater acoustic detection simulation described in Example 1.

[0227] The device embodiments described above are only illustrative, wherein the modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical modules, i.e., they may be located in one place, or they may be distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Those of ordinary skill in the art may understand and implement it without paying creative labor.

[0228] Through the specific description of the above embodiments, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the above technical solution can be essentially or partly contributed to the prior art in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, and the storage medium includes a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electronically erasable rewritable read-only memory (EEPROM), a compact disc (CD-ROM) or other optical disc storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0229] Finally, it should be noted that the data processing method and device for underwater acoustic detection simulation disclosed in the embodiment of the present invention only disclose the preferred embodiments of the present invention, which are only used to illustrate the technical scheme of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, it should be understood by those skilled in the art that the technical schemes described in the aforementioned embodiments can still be modified, or some of the technical features therein can be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical schemes from the spirit and scope of the technical schemes of the various embodiments of the present invention.

Claims

1. A data processing method for underwater acoustic detection simulation, characterized in that: The method comprises: Acquire detection environment equipment information; the detection environment equipment information includes water environment information, detection object information and detection equipment information; the detection equipment information includes several candidate equipment information; the candidate equipment information includes equipment type, equipment radiation sound intensity, equipment noise sound intensity, emission directivity index, receiving directivity index and equipment coordinate information; the detection object information includes object coordinate information, sound wave reflection intensity, radiation noise sound intensity; the water environment information includes environmental noise sound intensity, water absorption coefficient, water depth, shallow sea attenuation coefficient and environmental field attenuation coefficient; Calculating and processing the detection environment equipment information to obtain target equipment detection performance information; the target equipment detection performance information includes a number of equipment basic detection performance information; Performing simulation evaluation and analysis processing on the target device detection performance information and the detection environment device information to obtain target evaluation result information; the target evaluation result information includes a plurality of target solution evaluation result information; The step of calculating and processing the detection environment equipment information to obtain the target equipment detection performance information includes: For any of the candidate device information in the detection device information in the detection environment device information, the candidate device information, the water environment information and the detection object information are calculated and processed to obtain device calculation performance information corresponding to the candidate device information; the device calculation performance information includes first device calculation performance information, second device calculation performance information and third device calculation performance information; Calculate and process the receiving directivity index corresponding to the candidate device information, the device computing performance information, and the detection object information to obtain the device basic detection performance information corresponding to the candidate device information; The step of calculating and processing the candidate device information, the water environment information, and the detection object information to obtain device calculation performance information corresponding to the candidate device information includes: The candidate device information is calculated and processed using a first performance calculation model to obtain first device calculation performance information corresponding to the candidate device information; Wherein, the first performance calculation model is: A=B+C; In the formula, A represents the computing performance information of the first device; B represents the radiated sound intensity of the device; C represents the emission directivity index; Perform distance calculation processing on the device coordinate information corresponding to the candidate device information and the object coordinate information corresponding to the detection object information to obtain a device-object distance value corresponding to the candidate device information; Determining second device computing performance information corresponding to the candidate device information based on the device-object distance value and the water environment information; The second performance calculation model is used to calculate and process the candidate device information and the water environment information to obtain third device calculation performance information corresponding to the candidate device information; Wherein, the second performance calculation model is: In the formula, D0 represents the computing performance information of the third device; D1 represents the noise intensity of the device; D2 and D3 represent the first ambient noise intensity and the second ambient noise intensity in the ambient noise intensity, respectively.

2. The data processing method for underwater acoustic detection simulation according to claim 1 is characterized in that: The determining, based on the device-object distance value and the water environment information, the second device computing performance information corresponding to the candidate device information includes: determining a first distance threshold and a second distance threshold based on the device-object distance value and the water depth; Determine whether the device-object distance value is less than or equal to a first distance threshold, and obtain a first distance determination result; When the first distance judgment result is yes, the device object distance value and the water environment information are calculated and processed using a third performance calculation model to obtain second device calculation performance information corresponding to the candidate device information; Wherein, the third performance calculation model is: E=20·log R+α·R+β-K L ; Wherein, E represents the computing performance information of the second device; R represents the distance value of the device object; α represents the water absorption coefficient; K L Characterizes the environmental field attenuation coefficient; β characterizes the first detection loss coefficient; When the first distance judgment result is no, determining whether the device-object distance value is less than or equal to the second distance threshold, and obtaining a second distance judgment result; When the second distance judgment result is yes, the device object distance value and the water environment information are calculated and processed using a fourth performance calculation model to obtain second device calculation performance information corresponding to the candidate device information; Wherein, the fourth performance calculation model is: E=15·logR+α·R+ε·(R / F-1)+5·lohF+β-K L ; Wherein, F represents the water depth; ε represents the shallow sea attenuation coefficient; When the second distance judgment result is no, the device object distance value and the water environment information are calculated and processed using a fifth performance calculation model to obtain second device calculation performance information corresponding to the candidate device information; Wherein, the fifth performance calculation model is: E=10·logR+α·R+ε·(R / F-1)+10·log F+γ-K L ; Wherein, γ represents the second detection loss coefficient.

3. The data processing method for underwater acoustic detection simulation according to claim 1 is characterized in that: The calculating and processing the receiving directivity index corresponding to the candidate device information, the device computing performance information and the detection object information to obtain the device basic detection performance information corresponding to the candidate device information includes: Determine whether the device type corresponding to the candidate device information is the first device type, and obtain a type determination result; When the type judgment result is yes, the receiving directivity index corresponding to the candidate device information, the device calculation performance information and the detection object information are calculated and processed using the first type performance calculation model to obtain the device basic detection performance information corresponding to the candidate device information; Wherein, the first type of performance calculation model is: DT=A-2·E+TS-D0+DI; In the formula, DT represents the basic detection performance information of the device; TS represents the sound wave reflection intensity; DI represents the receiving directivity index; E represents the calculation performance information of the second device; When the type judgment result is no, the device calculation performance information and the detection object information are calculated and processed using the second type performance calculation model to obtain the device basic detection performance information corresponding to the candidate device information; Wherein, the first type of performance calculation model is: DT=SL-E-D0+DI; Wherein, SL represents the sound intensity of the radiated noise.

4. The data processing method for underwater acoustic detection simulation according to claim 1 is characterized in that: The simulation evaluation and analysis processing of the target device detection performance information and the detection environment device information to obtain target evaluation result information includes: Displaying the target device detection performance information and the detection environment device information; In response to a user input instruction based on the displayed information, obtaining detection device solution information; Performing simulation processing on the detection equipment scheme information to obtain scheme simulation result information; the scheme simulation result information includes several scheme deduction result information; Based on the scheme simulation result information, target evaluation result information is determined.

5. The data processing method for underwater acoustic detection simulation according to claim 4 is characterized in that: Determining target evaluation result information based on the scheme simulation result information includes: Obtain evaluation weight coefficient information; For any of the scheme deduction result information in the scheme simulation result information, based on the evaluation weight coefficient information and the scheme deduction result information, the target scheme evaluation result information corresponding to the scheme deduction result information is determined.

6. A data processing device for underwater acoustic detection simulation, characterized in that: The device comprises: An acquisition module is used to acquire detection environment equipment information; the detection environment equipment information includes water environment information, detection object information and detection equipment information; the detection equipment information includes information of several candidate equipment; the candidate equipment information includes equipment type, equipment radiation sound intensity, equipment noise sound intensity, emission directivity index, receiving directivity index and equipment coordinate information; the detection object information includes object coordinate information, sound wave reflection intensity and radiation noise sound intensity; the water environment information includes environmental noise sound intensity, water absorption coefficient, water depth, shallow sea attenuation coefficient and environmental field attenuation coefficient; A first processing module is used to calculate and process the detection environment equipment information to obtain target equipment detection performance information; the target equipment detection performance information includes a number of equipment basic detection performance information; The second processing module is used to perform simulation evaluation and analysis processing on the target device detection performance information and the detection environment device information to obtain target evaluation result information; the target evaluation result information includes a plurality of target solution evaluation result information; The step of calculating and processing the detection environment equipment information to obtain the target equipment detection performance information includes: For any of the candidate device information in the detection device information in the detection environment device information, the candidate device information, the water environment information and the detection object information are calculated and processed to obtain device calculation performance information corresponding to the candidate device information; the device calculation performance information includes first device calculation performance information, second device calculation performance information and third device calculation performance information; Calculate and process the receiving directivity index corresponding to the candidate device information, the device computing performance information, and the detection object information to obtain the device basic detection performance information corresponding to the candidate device information; The step of calculating and processing the candidate device information, the water environment information, and the detection object information to obtain device calculation performance information corresponding to the candidate device information includes: The candidate device information is calculated and processed using a first performance calculation model to obtain first device calculation performance information corresponding to the candidate device information; Wherein, the first performance calculation model is: A=B+C; In the formula, A represents the computing performance information of the first device; B represents the radiated sound intensity of the device; C represents the emission directivity index; Perform distance calculation processing on the device coordinate information corresponding to the candidate device information and the object coordinate information corresponding to the detection object information to obtain a device-object distance value corresponding to the candidate device information; Determining second device computing performance information corresponding to the candidate device information based on the device-object distance value and the water environment information; The second performance calculation model is used to calculate and process the candidate device information and the water environment information to obtain third device calculation performance information corresponding to the candidate device information; Wherein, the second performance calculation model is: In the formula, D0 represents the computing performance information of the third device; D1 represents the noise intensity of the device; D2 and D3 represent the first ambient noise intensity and the second ambient noise intensity in the ambient noise intensity, respectively.

7. A data processing device for underwater acoustic detection simulation, characterized in that: The device comprises: A memory storing executable program code; a processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the data processing method for underwater acoustic detection simulation as described in any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and when the computer instructions are called, they are used to execute the data processing method for underwater acoustic detection simulation as described in any one of claims 1-5.

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