Acoustic compatibility test and evaluation method, device and equipment for underwater acoustic system of ocean platform and storage medium

Abstract

The invention discloses a sound compatibility test and evaluation method, device and equipment for an underwater acoustic system of an ocean platform and a storage medium, and relates to the technical field of ocean acoustics, and the sound compatibility test and evaluation method for the underwater acoustic system of the ocean platform comprises the steps: obtaining target noise data of the ocean platform; platform parameters of the ocean platform are obtained, a simulation model is constructed according to the platform parameters and the target noise data, and the simulation model comprises an environment noise model, a sound propagation model and a platform self-noise model; obtaining to-be-tested equipment parameters of the ocean platform, and obtaining target data according to the to-be-tested equipment parameters and the simulation model; and performing performance evaluation and comprehensive analysis on the ocean platform according to the target data so as to complete acoustic compatibility test and evaluation of the acoustic system. According to the invention, the accuracy of acoustic compatibility testing and evaluation of the underwater acoustic system of the ocean platform can be improved.

Description

Technical Field

[0001] The present application relates to the field of marine acoustic technology, and in particular to a method, device, equipment and storage medium for testing and evaluating acoustic compatibility of an underwater acoustic system of an ocean platform. Background Art

[0002] The acoustic system of offshore platforms is an important support for platform detection and communication. Due to the large number and variety of acoustic devices on the platform, the mutual interference between the devices will have a serious impact on the system performance and even the safety of operations. Therefore, conducting acoustic compatibility research is of great significance for ensuring the reliable operation of the acoustic system, improving detection capabilities, and reducing maintenance costs. It is also an inevitable choice to adapt to the requirements of technological development and meet environmental protection needs. At present, the application of acoustic compatibility testing technology at home and abroad mainly adopts three methods: laboratory testing, field testing, and simulation analysis. However, the existing methods all have the defect of low test accuracy. At the same time, the existing evaluation methods also face the problems of imperfect evaluation index system and lack of unified evaluation standards. Therefore, how to improve the accuracy of acoustic compatibility testing and evaluation of underwater acoustic systems of marine platforms is a problem that still needs to be solved.

[0003] The above contents are only used to assist in understanding the technical solution of the present application and do not constitute an admission that the above contents are prior art. Summary of the invention

[0004] The main purpose of this application is to provide a method, device, equipment and storage medium for testing and evaluating the acoustic compatibility of an underwater acoustic system of an ocean platform, aiming to solve the technical problem of how to improve the accuracy of testing and evaluating the acoustic compatibility of an underwater acoustic system of an ocean platform.

[0005] To achieve the above-mentioned purpose, the present application proposes a method for testing and evaluating the acoustic compatibility of an underwater acoustic system of an ocean platform, the method comprising: obtaining target noise data of the ocean platform; obtaining platform parameters of the ocean platform, and constructing a simulation model based on the platform parameters and the target noise data, the simulation model comprising an environmental noise model, a sound propagation model, and a platform self-noise model; obtaining parameters of a device to be tested of the ocean platform, and obtaining target data based on the parameters of the device to be tested and the simulation model; and performing performance evaluation and comprehensive analysis on the ocean platform based on the target data to complete the acoustic compatibility test and evaluation of the acoustic system.

[0006] In one embodiment, the step of acquiring target noise data of an ocean platform comprises: Obtain raw noise data of ambient noise and platform self-noise from the hydrophone array; The original noise data is preprocessed, noise separated and feature extracted to obtain target noise data of the ocean platform.

[0007] In one embodiment, the steps of preprocessing, noise separation and feature extraction of the original noise data to obtain target noise data of the marine platform include: Performing data calibration on the original noise data and filtering the data through a preset filtering model to obtain preprocessed noise data; Separate environmental noise data and platform self-noise data from noise data through preprocessing with a preset algorithm; obtain noise separation data; The noise separation data is analyzed from three dimensions: time domain, frequency domain and time-frequency, and features are extracted to obtain target noise data of the marine platform.

[0008] In one embodiment, the step of constructing a simulation model according to the platform parameters and the target noise data includes: According to the platform parameters and the target noise data, wind and wave noise simulation characteristics, rainfall noise simulation characteristics, ship noise simulation characteristics and biological noise simulation characteristics are obtained, and an environmental noise model is constructed; Obtaining sound wave data and ocean water body data according to the platform parameters and the target noise data, and constructing a sound propagation model according to the sound wave data and the ocean water body data; Obtaining platform self-noise data and operating parameter data according to the platform parameters and the target noise data, and constructing a platform self-noise model; The environmental noise model, the sound propagation model and the platform self-noise model are tested according to the platform parameters and the target noise data, and the parameters are adjusted according to the test results to obtain a simulation model.

[0009] In one embodiment, the step of obtaining target data according to the parameters of the device under test and the simulation model includes: Adjusting the parameters of the simulation model according to the parameters of the device under test and generating a target signal; The target data is obtained by simulating the evolution process of the target signal in the marine environment according to the simulation model.

[0010] In one embodiment, the step of performing performance evaluation and comprehensive analysis on the marine platform according to the target data to complete acoustic compatibility testing and evaluation of the acoustic system includes: Obtaining sound pressure level, frequency spectrum characteristics, time-varying characteristics, spatial characteristics, signal-to-noise ratio and mutual correlation coefficient according to the target data; Evaluate the sound pressure level, the frequency spectrum characteristics, the time-varying characteristics, the spatial characteristics, the signal-to-noise ratio, and the mutual correlation coefficient according to preset indicators to obtain a performance evaluation score; Obtaining a preset scenario weight of the marine platform, and obtaining a weighted evaluation score according to the preset scenario weight and the performance evaluation score; The acoustic compatibility test and evaluation of the acoustic system is completed according to the weighted evaluation score.

[0011] In one embodiment, the step of evaluating the sound pressure level, the spectrum characteristics, the time-varying characteristics, the spatial characteristics, the signal-to-noise ratio, and the mutual correlation coefficient according to preset indicators to obtain a performance evaluation score includes: Scoring the sound pressure level by numerical value to obtain a performance evaluation score; The spectrum characteristics are scored by the number of peaks, strong harmonics, and spectrum flatness to obtain a performance evaluation score; Scoring the time-varying characteristics by temporal stability to obtain a performance evaluation score; The spatial characteristics are scored by main lobe beam width, side lobe level, and sound propagation distance to obtain a performance evaluation score; The signal-to-noise ratio is scored by numerical value to obtain a performance evaluation score; The mutual correlation coefficient is scored by numerical value to obtain a performance evaluation score.

[0012] In addition, to achieve the above-mentioned purpose, the present application also proposes an acoustic compatibility testing and evaluation device for an underwater acoustic system of an ocean platform, the acoustic compatibility testing and evaluation device for an underwater acoustic system of an ocean platform comprising: An acquisition module, used to acquire target noise data of an ocean platform; A simulation module, used to obtain platform parameters of the offshore platform, and to construct a simulation model according to the platform parameters and the target noise data, wherein the simulation model includes an environmental noise model, a sound propagation model, and a platform self-noise model; A calculation module, used for acquiring parameters of the equipment to be tested of the offshore platform, and obtaining target data according to the parameters of the equipment to be tested and the simulation model; An evaluation module is used to perform performance evaluation and comprehensive analysis on the marine platform according to the target data, so as to complete acoustic compatibility testing and evaluation of the acoustic system.

[0013] In addition, to achieve the above-mentioned objectives, the present application also proposes an acoustic compatibility testing and evaluation device for an underwater acoustic system of an ocean platform, the device comprising: a memory, a processor, and a computer program stored on the memory and executable on the processor, the computer program being configured to implement the steps of the acoustic compatibility testing and evaluation method for an underwater acoustic system of an ocean platform as described above.

[0014] In addition, to achieve the above-mentioned purpose, the present application also proposes a storage medium, which is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by the processor, the steps of the method for acoustic compatibility testing and evaluation of the underwater acoustic system of the marine platform as described above are implemented.

[0015] In addition, to achieve the above-mentioned purpose, the present application also provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, it implements the steps of the method for acoustic compatibility testing and evaluation of the underwater acoustic system of an ocean platform as described above.

[0016] The present application provides a method for testing and evaluating the acoustic compatibility of an underwater acoustic system of an ocean platform. The present application obtains target noise data of an ocean platform; obtains platform parameters of the ocean platform, and constructs a simulation model based on the platform parameters and the target noise data, wherein the simulation model includes an environmental noise model, a sound propagation model, and a platform self-noise model; obtains parameters of a device to be tested of the ocean platform, and obtains target data based on the parameters of the device to be tested and the simulation model; and performs performance evaluation and comprehensive analysis on the ocean platform based on the target data to complete the acoustic compatibility test and evaluation of the acoustic system.

[0017] In summary, this application combines the platform self-noise measurement with the marine environmental noise measurement, realizes the effective separation of multi-source noise, and establishes an accurate simulation model based on the measured data to ensure that the test results are closer to the actual application scenario. By constructing a scientific and complete evaluation index system, the measured data analysis and simulation are organically combined, a multi-dimensional evaluation strategy is adopted, and the subjectivity of the evaluation process is reduced through a reasonable weight distribution mechanism, thereby improving the accuracy of the acoustic compatibility test and evaluation of the underwater acoustic system of the marine platform. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0019] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0020] Figure 1 A flow chart of the first embodiment of the method for testing and evaluating the acoustic compatibility of an underwater acoustic system of an ocean platform provided in the present application; Figure 2A schematic diagram of the noise power spectrum density of the acoustic compatibility test and evaluation method of the underwater acoustic system of an ocean platform provided in Example 1 of the present application; Figure 3 A schematic diagram of one-third octave band analysis of an acoustic compatibility test and evaluation method for an underwater acoustic system of an ocean platform provided in Example 1 of the present application; Figure 4 A short-time Fourier transform characteristic diagram of the acoustic compatibility test and evaluation method of the underwater acoustic system of an ocean platform provided in Example 1 of the present application; Figure 5 A schematic diagram of a simulated signal emitted by a device under test in the method for testing and evaluating acoustic compatibility of an underwater acoustic system of an ocean platform provided in Example 1 of the present application; Figure 6 A schematic diagram of a simulated signal received by a device under test in the method for testing and evaluating acoustic compatibility of an underwater acoustic system of an ocean platform provided in Example 1 of the present application; Figure 7 A flow chart of the second embodiment of the method for testing and evaluating the acoustic compatibility of an underwater acoustic system of an ocean platform provided in this application; Figure 8 A schematic diagram of a simplified process of an acoustic compatibility test and evaluation method for an underwater acoustic system of an ocean platform provided in Example 2 of the present application; Fig. 9 This is a schematic diagram of the module structure of the acoustic compatibility testing and evaluation device of the underwater acoustic system of the marine platform according to the embodiment of the present application; Fig.10 Schematic diagram of the equipment structure of the hardware operating environment involved in the acoustic compatibility test and evaluation method of the underwater acoustic system of the marine platform in the embodiment of the present application.

[0021] The purpose, features and advantages of this application will be further described in conjunction with the embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0022] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present application and are not used to limit the present application.

[0023] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0024] The main solution of the present application is to obtain target noise data of the marine platform; obtain platform parameters of the marine platform, and construct a simulation model based on the platform parameters and the target noise data, wherein the simulation model includes an environmental noise model, a sound propagation model, and a platform self-noise model; obtain parameters of the equipment to be tested of the marine platform, and obtain target data based on the parameters of the equipment to be tested and the simulation model; and perform performance evaluation and comprehensive analysis on the marine platform based on the target data to complete the acoustic compatibility test and evaluation of the acoustic system.

[0025] At present, the application of acoustic compatibility testing technology at home and abroad mainly adopts three methods: laboratory testing, field testing and simulation analysis. However, the existing methods all have the defect of low test accuracy. At the same time, the existing evaluation methods also face the problems of imperfect evaluation index system, lack of unified evaluation standards, and low accuracy. Therefore, how to improve the accuracy of acoustic compatibility testing and evaluation of underwater acoustic systems of marine platforms is a problem that still needs to be solved.

[0026] This application combines the platform self-noise measurement with the marine environmental noise measurement, realizes the effective separation of multi-source noise, and establishes an accurate simulation model based on the measured data to ensure that the test results are closer to the actual application scenario. By constructing a scientific and complete evaluation index system, the measured data analysis and simulation are organically combined, a multi-dimensional evaluation strategy is adopted, and the subjectivity of the evaluation process is reduced through a reasonable weight distribution mechanism, thereby improving the accuracy of the acoustic compatibility test and evaluation of the marine platform underwater acoustic system.

[0027] Based on this, the embodiment of the present application provides a method for testing and evaluating the acoustic compatibility of an underwater acoustic system of an ocean platform, referring to Figure 1 , Figure 1 This is a flow chart of the first embodiment of the method for testing and evaluating the acoustic compatibility of an underwater acoustic system of an ocean platform of the present application.

[0028] In this embodiment, the method for testing and evaluating the acoustic compatibility of an underwater acoustic system of an ocean platform includes steps S10 to S40: Step S10: Acquire target noise data of the ocean platform; It should be noted that the execution subject of this embodiment may be a computing service device with data processing, network communication and program running functions, such as a tablet computer, a personal computer, a mobile phone, etc., or an electronic device capable of realizing the above functions, an acoustic compatibility test and evaluation device for an underwater acoustic system of an ocean platform, etc. The following takes the acoustic compatibility test and evaluation device for an underwater acoustic system of an ocean platform as an example to illustrate this embodiment and the following embodiments.

[0029] It should be noted that the target noise of the marine platform includes the marine environment noise and the platform self-noise, and the target noise can be obtained separately through the acquisition equipment.

[0030] In a feasible manner, the step of obtaining target noise data of the marine platform includes: Obtain raw noise data of ambient noise and platform self-noise from the hydrophone array; The original noise data is preprocessed, noise separated and feature extracted to obtain target noise data of the ocean platform.

[0031] It should be noted that a hydrophone is an instrument used to receive acoustic signals in water. Accurate noise data can be obtained through a sensor array composed of multiple high-precision hydrophones, equipped with high-performance data acquisition equipment and a GPS-based time synchronization control unit. Adaptive filtering, blind source separation and beamforming algorithms are used to effectively separate background noise and target noise. Time domain, frequency domain and time-frequency analysis methods are also used to extract key characteristic parameters. Specifically, the noise data acquisition module is mainly composed of a sensor array, a data acquisition device and a synchronization control unit. The sensor array includes high-precision hydrophones, vibration sensors and environmental parameter sensors. High-precision hydrophones can be deployed in an array to measure environmental noise and platform self-noise according to different platform test requirements; vibration sensors are used to determine the noise sources of the platform and measure them; environmental parameter sensors include temperature-salinity-depth meters (CTDs), ultrasonic Doppler profilers (ADCPs) and weather stations, etc., which are mainly used to measure various environmental parameters. The data acquisition equipment adopts a high-performance multi-channel acquisition system, supports a 256kHz sampling rate and 24bit resolution, and achieves high-speed data transmission through optical fiber transmission. The synchronization control unit is based on the GPS time reference and the Precision Time Protocol (PTP) time synchronization protocol to achieve a time synchronization accuracy better than 1μs, ensuring the synchronous acquisition of multi-channel data and the coordinated operation of multiple devices. The module provides high-quality raw data for subsequent signal processing through high-precision hardware configuration and strict synchronization control. The detailed working steps are as follows: first, determine the measurement plan according to the offshore platform test requirements and sea conditions, and calibrate the instrument before measurement; select suitable sea areas and meteorological conditions, deploy hydrophone arrays, record hydrological and meteorological parameters, collect long-term background noise data, monitor interference sources at the same time, and finally perform statistical analysis and processing; first measure the background noise, and then measure in single-machine, combined, and full-condition sequences. Perform sound pressure and vibration measurements on the main engine, auxiliary machine, piping system and other equipment, and record the operating parameters at the same time, and finally perform data analysis and evaluation; deploy hydrophone arrays, perform background noise measurements, and then perform measurements according to static and dynamic conditions. Static includes, dynamic includes, and synchronously record platform parameters.

[0032] It is understandable that when noise is collected, the multi-point synchronous collection of underwater acoustic signals, vibration signals of various platform equipment and environmental parameters is realized through hardware equipment such as sensor arrays (high-precision hydrophones, vibration sensors, environmental parameter sensors, etc.), multi-channel data acquisition equipment and synchronous control units. Equipped with a complete signal processing module, the noise reduction, separation and feature extraction of the original data are realized through algorithms such as preprocessing, noise separation and feature extraction.

[0033] In a feasible manner, the steps of preprocessing, noise separation and feature extraction of the original noise data to obtain target noise data of the marine platform include: Performing data calibration on the original noise data and filtering the data through a preset filtering model to obtain preprocessed noise data; Separate environmental noise data and platform self-noise data from noise data through preprocessing with a preset algorithm; obtain noise separation data; The noise separation data is analyzed from three dimensions: time domain, frequency domain and time-frequency, and features are extracted to obtain target noise data of the marine platform.

[0034] It is understandable that after obtaining the original noise data, the collected raw data needs to be processed and analyzed, which is composed of a preprocessing unit, a noise separation unit and a feature extraction unit. Preprocessing unit: performs data calibration, including sensor sensitivity correction, frequency response compensation and system gain calibration, and then filters the data through methods such as bandpass filtering, adaptive filtering and median filtering, while realizing burst noise identification and outlier removal. Noise separation unit: adopts a variety of advanced algorithms to achieve effective separation, including adaptive filtering algorithms based on least mean square algorithm (LMS) and recursive least square algorithm (RLS), blind source separation technology based on independent component analysis (ICA) and principal component analysis (PCA), and conventional beamforming and minimum variance distortion-free response (MVDR) and other beamforming processing methods. The accuracy of noise separation is improved through the combined application of these algorithms. Feature extraction unit: analyzes the signal from three dimensions: time domain, frequency domain and time-frequency. Time domain analysis mainly extracts statistical features and identifies timing patterns. Frequency domain analysis includes power spectral density estimation and 1 / 3 octave analysis. Please refer to Figure 2 and Figure 3 , Figure 2 is a schematic diagram of noise power spectrum density, Figure 3 This is a schematic diagram of one-third octave band analysis; time-frequency analysis uses short-time Fourier transform, wavelet transform and other methods to extract the joint time-frequency features of the signal, which can be referred to Figure 4 , Figure 4 is the short-time Fourier transform feature map.

[0035] Step S20: acquiring platform parameters of the offshore platform, and constructing a simulation model according to the platform parameters and the target noise data, wherein the simulation model includes an environmental noise model, a sound propagation model, and a platform self-noise model; It is understandable that simulation modeling is based on the measured data collected by the noise measurement subsystem to build environmental noise models, sound propagation models and platform noise models. The environmental noise model includes wind and wave noise, rainfall noise and background noise characteristics under different sea conditions (0-6 levels), taking into account the differences in deep and shallow sea environments and seasonal changes. The sound propagation model describes the characteristics of sound wave propagation through sound velocity profile and propagation loss calculation, comprehensively considering the effects of temperature, salinity and pressure, including geometric expansion loss, dielectric absorption loss and boundary scattering loss. The platform noise model combines the main and auxiliary mechanical noise and propeller noise characteristics to establish a noise characteristic model related to power and speed, including equipment vibration transmission characteristics and cavitation noise characteristics. The acoustic system signal simulation module sets parameters such as operating frequency, transmission power and spatial characteristics through the parameter configuration unit according to the technical parameters of each device in the acoustic system to be tested. The signal generation unit generates various types of simulation signals such as continuous waves and pulses. The interactive simulation unit realizes the propagation characteristic analysis of the signal in a complex environment, considering the effects of multipath effect, Doppler effect and channel distortion. This subsystem provides reliable simulation data support for acoustic compatibility assessment through precise scene modeling and acoustic system signal simulation, combined with strict accuracy control measures.

[0036] Step S30: acquiring parameters of the equipment to be tested of the offshore platform, and obtaining target data according to the parameters of the equipment to be tested and the simulation model; It is understandable that after the simulation model is constructed, the acoustic characteristics of the device under test in a complex underwater acoustic environment can be simulated and a simulation signal can be generated.

[0037] In a feasible manner, the step of obtaining target data according to the parameters of the device under test and the simulation model includes: Adjusting the parameters of the simulation model according to the parameters of the device under test and generating a target signal; The target data is obtained by simulating the evolution process of the target signal in the marine environment according to the simulation model.

[0038] It is understandable that the functional module for target data generation is mainly composed of parameter configuration unit, signal generation unit and interactive simulation unit, which are used to simulate the acoustic characteristics of the device under test in a complex underwater acoustic environment. Parameter configuration unit: according to the technical specifications of each device in the acoustic system under test, set basic parameters such as operating frequency, transmission power, beam width, directivity, etc., while considering the working mode and modulation method of the device. Signal generation unit: based on the configuration parameters, generate various typical signals, including continuous wave signals, linear frequency modulation signals, multi-frequency signals and coded pulses, and improve the authenticity of the signal by adding random phase, amplitude fluctuation and frequency offset. Interactive simulation unit: responsible for simulating the propagation characteristics of the signal in the underwater acoustic channel, considering the delay extension and amplitude fluctuation caused by multipath effect, the frequency broadening caused by Doppler effect, and the influence of factors such as channel fluctuation and noise interference on the signal. This unit is closely integrated with the scene modeling module, superimposing the effects of environmental noise, sound propagation characteristics and platform noise on the acoustic system signal, and realizing the real evolution process of the signal in a complex environment. At the same time, the scenario model is continuously updated iteratively based on the measured data of the noise measurement subsystem, so that the simulated signal gradually converges to the measured data. The module output includes complete signal descriptions such as time domain waveforms, spectral characteristics, and space-time correlation characteristics, and provides key performance parameters such as signal-to-noise ratio, multipath delay, and Doppler frequency shift, providing a comprehensive analysis basis for the acoustic compatibility assessment of the platform acoustic system. The module has good scalability and adaptability, and can adjust parameters and customize functions according to the characteristics of different types of acoustic systems. The simulation module sets the basic parameters, spatial characteristics, working modes, etc. of the equipment, and through interaction with the scenario modeling module, it realizes the simulation of the transmitted and received signals of the acoustic system under test in the predetermined working scenario. The simulated signals of the acoustic system equipment under test can be referred to Figure 5 and Figure 6 , Figure 5 It is a schematic diagram of the signal transmission simulation of the device under test. Figure 6 Schematic diagram of the device under test receiving signal simulation.

[0039] Step S40: Performing performance evaluation and comprehensive analysis on the marine platform according to the target data to complete acoustic compatibility testing and evaluation of the acoustic system.

[0040] It is understandable that the evaluation of target data is the decision-making output part of the marine platform acoustic system compatibility test and evaluation method, which can directly demonstrate the effect of acoustic system compatibility.

[0041] In a feasible manner, the steps of performing performance evaluation and comprehensive analysis on the marine platform according to the target data to complete acoustic compatibility testing and evaluation of the acoustic system include: Obtaining sound pressure level, frequency spectrum characteristics, time-varying characteristics, spatial characteristics, signal-to-noise ratio and mutual correlation coefficient according to the target data; Evaluate the sound pressure level, the frequency spectrum characteristics, the time-varying characteristics, the spatial characteristics, the signal-to-noise ratio, and the mutual correlation coefficient according to preset indicators to obtain a performance evaluation score; Obtaining a preset scenario weight of the marine platform, and obtaining a weighted evaluation score according to the preset scenario weight and the performance evaluation score; The acoustic compatibility test and evaluation of the acoustic system is completed according to the weighted evaluation score.

[0042] The step of evaluating the sound pressure level, the spectrum characteristics, the time-varying characteristics, the spatial characteristics, the signal-to-noise ratio and the mutual correlation coefficient according to preset indicators to obtain a performance evaluation score includes: Scoring the sound pressure level by numerical value to obtain a performance evaluation score; The spectrum characteristics are scored by the number of peaks, strong harmonics, and spectrum flatness to obtain a performance evaluation score; Scoring the time-varying characteristics by temporal stability to obtain a performance evaluation score; The spatial characteristics are scored by main lobe beam width, side lobe level, and sound propagation distance to obtain a performance evaluation score; The signal-to-noise ratio is scored by numerical value to obtain a performance evaluation score; The mutual correlation coefficient is scored by numerical value to obtain a performance evaluation score.

[0043] It is understandable that the evaluation function consists of a performance evaluation module and a comprehensive analysis module. The performance evaluation module analyzes from six dimensions: sound pressure level, spectrum characteristics, time-varying characteristics, and spatial characteristics: the sound pressure level evaluation reflects the sound intensity characteristics of the equipment by calculating the total sound pressure level and 1 / 3 octave analysis; the spectrum characteristic evaluation includes spectrum peak analysis, spectrum shape characteristic evaluation, and modulation characteristic analysis, revealing the frequency domain characteristics of the equipment sound signal; the time-varying characteristic evaluation evaluates the time domain stability of the equipment sound signal through steady-state characteristic analysis and transient characteristic identification; the spatial characteristic evaluation includes directivity analysis and propagation characteristic evaluation, reflecting the equipment sound field distribution characteristics. The comprehensive analysis module is responsible for the multi-scenario evaluation of the acoustic system. Based on the scenario weight setting, it uses weighted scoring, fuzzy comprehensive evaluation and other methods for comprehensive evaluation. Through scientific scoring rules and strict quality control measures, an objective evaluation of the acoustic compatibility of the acoustic system is achieved. Specifically, the performance evaluation evaluates the acoustic performance of each device in the acoustic system from six dimensions, and each dimension contributes to the final score. The specific scores are as follows: Sound Pressure Level (SPL): Measurements: SPL was measured at different distances and angles, and in different operating modes using a calibrated hydrophone. 1 / 3 octave band analysis was used to characterize the frequency distribution of the sound.

[0044] Metrics: Total SPL (dB re 1 μPa), SPL in critical frequency bands (e.g., those most relevant to marine life or other sensitive equipment).

[0045] Scoring: Higher SPL values ​​receive lower scores. A logarithmic scale is used to reflect the perceived characteristics of sound intensity. For example: less than 80dB (100 points), 80-85dB (80 points), 85-90dB (60 points), 90-95dB (40 points), greater than 95dB (20 points). The specific threshold needs to be determined according to the application scenario.

[0046] Spectrum characteristics: Measurement: Analyze the frequency spectrum of the equipment's acoustic signal. Identify peak frequencies, harmonic content, and any unusual spectral shapes.

[0047] Indicators: number of main peaks, presence of strong harmonics, spectral flatness.

[0048] Scoring: The cleaner the spectrum, with fewer peaks and minimal harmonics, the higher the score. For example: harmonic distortion less than 5% (100 points), 5-10% (80 points), 10-15% (60 points), 15-20% (40 points), greater than 20% (20 points).

[0049] Time-varying properties: Measurements: Analyze the temporal stability of the acoustic signal. Identify any transient events or fluctuations.

[0050] Metrics: Standard deviation of SPL over time, presence and duration of transient events.

[0051] Scoring: The higher the temporal stability, the higher the score. For example: standard deviation less than 1dB (100 points), 1-2dB (80 points), 2-3dB (60 points), 3-4dB (40 points), greater than 4dB (20 points).

[0052] Space characteristics: Measurements: Map the sound field around the device using a hydrophone array. Analyze directivity patterns and propagation characteristics.

[0053] Indicators: main lobe beam width, side lobe level, sound propagation distance.

[0054] Scoring: The more directional the sound field, the lower the sidelobe level, the higher the score. For example: beamwidth less than 30 degrees (100 points), 30-60 degrees (80 points), 60-90 degrees (60 points), 90-120 degrees (40 points), greater than 120 degrees (20 points).

[0055] Signal-to-Noise Ratio (SNR): Measurement: Use a hydrophone to collect the acoustic signal emitted by the device under test and the background noise. It is necessary to ensure that the collected signal has sufficient bandwidth and sampling rate to accurately reflect the characteristics of the signal. It is recommended to perform multiple measurements to improve the reliability of the results.

[0056] Metric: Average signal-to-noise ratio calculated over the entire frequency band or over a specific frequency band.

[0057] Score: The higher the better, representing the clarity of the device signal and its anti-interference ability. For example: greater than 30 dB (100 points), 20-30 dB (80 points), 10-20 dB (60 points), 5-10 dB (40 points), less than 5 dB (20 points).

[0058] Mutual correlation coefficient: Measurement: The acoustic signal of the device under test and a reference signal (for example, the acoustic signal of another device or ambient noise) are simultaneously acquired.

[0059] Indicator: The maximum value of the cross-correlation function indicates the maximum similarity between the two signals.

[0060] Score: The lower the better, representing the degree of acoustic coupling between the device and other devices. The lower the value, the less coupling. For example: less than 0.1 (100 points), 0.1-0.3 (80 points), 0.3-0.5 (60 points), 0.5-0.7 (40 points), greater than 0.7 (20 points).

[0061] It is understandable that the comprehensive analysis needs to integrate the results of the performance evaluation phase and consider the context of different operating scenarios. Scenario weight: The different requirements for acoustic compatibility in different working scenarios (for example, shallow water, deep water, high noise environment, etc.) are taken into account, and weights are assigned according to the possibility and importance of different operating scenarios. Weighted scoring: The weighted average score of each scenario is calculated based on the average score of the performance evaluation phase of each device in the acoustic system and the scenario weight. Fuzzy comprehensive evaluation: The weighted scores of different scenarios are combined into an overall acoustic compatibility score using the fuzzy comprehensive evaluation method. Model compensation correction: According to the comprehensive evaluation score and measured data, the model parameters in the simulation modeling subsystem are corrected.

[0062] It is understandable that the specific workflow is data collection: clarify the test objectives, test scope and evaluation indicators. According to the specific application scenarios of the equipment, select appropriate test standards and specifications. Obtain test data in the simulation modeling subsystem; Acoustic characteristics analysis: Analyze the acoustic characteristics of the equipment under test according to the indicators defined in the scoring table. This includes calculating indicators such as sound pressure level, spectral characteristics, time characteristics, spatial characteristics signal-to-noise ratio and mutual correlation coefficient; Scenario weight allocation: Considering the different requirements for acoustic compatibility in different working scenarios (for example, shallow water, deep water, high noise environment, etc.), weights are allocated according to the possibility and importance of different operating scenarios. Weighted scoring: Calculate the weighted average score of each scenario based on the average score of each equipment performance evaluation stage in the acoustic system and the scenario weight. Comprehensive evaluation: Based on the calculation results, the acoustic compatibility of the acoustic system under test is comprehensively evaluated and the final conclusion is given.

[0063] For example, when multi-beam bathymetry is performed in the sea, it is necessary to evaluate the performance of the system in a complex acoustic environment. The following noise sources exist in this sea area: marine environmental noise: including sea surface wind and wave noise (frequency range 10Hz-10kHz), distant ship navigation noise (50Hz-1kHz), biological noise, etc., with a comprehensive noise level of about 65dB. The platform's propeller noise (main frequency component is 100Hz-2kHz), mechanical vibration noise, fluid noise, etc. are measured, and the platform's self-noise level is measured to be about 75dB. The operating frequency of the multi-beam sonar system is 400kHz, the emission sound source level is 220dB, and the beam width is 1.5°×1.5°. Through acoustic compatibility analysis, it is found that the environmental noise and platform self-noise have little effect on the sonar working frequency band, and the signal-to-noise ratio can reach more than 45dB. After using beamforming technology, the interference noise can be further suppressed by 15-20dB. The system detection performance meets the requirements, and the bathymetry accuracy is better than 0.5% of the water depth under the condition of 500m water depth.

[0064] This embodiment obtains target noise data of an ocean platform; obtains platform parameters of the ocean platform, and constructs a simulation model based on the platform parameters and the target noise data, wherein the simulation model includes an environmental noise model, a sound propagation model, and a platform self-noise model; obtains parameters of a device to be tested of the ocean platform, and obtains target data based on the parameters of the device to be tested and the simulation model; and performs performance evaluation and comprehensive analysis on the ocean platform based on the target data to complete acoustic compatibility testing and evaluation of an acoustic system.

[0065] In summary, this application combines the platform self-noise measurement with the marine environmental noise measurement, realizes the effective separation of multi-source noise, and establishes an accurate simulation model based on the measured data to ensure that the test results are closer to the actual application scenario. By constructing a scientific and complete evaluation index system, the measured data analysis and simulation are organically combined, a multi-dimensional evaluation strategy is adopted, and the subjectivity of the evaluation process is reduced through a reasonable weight distribution mechanism, thereby improving the accuracy of the acoustic compatibility test and evaluation of the underwater acoustic system of the marine platform.

[0066] Based on the first embodiment of the present application, in the second embodiment of the present application, the same or similar contents as those in the above-mentioned embodiment 1 can be referred to the above introduction, and will not be repeated in the following. Figure 7 , step S20 also includes steps S201 to S204: Step S201: obtaining wind and wave noise simulation characteristics, rainfall noise simulation characteristics, ship noise simulation characteristics and biological noise simulation characteristics according to the platform parameters and the target noise data, and constructing an environmental noise model; It is understandable that, in the process of building the environmental noise model, for wind and wave noise, it can be constructed based on the Knudsen spectrum model. By establishing the mapping relationship between wind speed and noise spectrum level, the autoregressive model is combined to describe the time-varying characteristics of wind speed, and the simulation of wind and wave noise characteristics under different sea conditions is realized. Regarding rainfall noise, two physical mechanisms, raindrop impact noise and bubble oscillation noise, can be considered. Based on the raindrop size distribution and terminal velocity characteristics, a relationship model between rainfall intensity and noise spectrum level is established, and classification processing is performed for different rainfall levels. Regarding ship noise and biological noise, the ship noise adopts a ship flow density model based on Poisson distribution, considering the radiation noise characteristics and spatial distribution characteristics of a single ship; biological noise focuses on describing its seasonal changes and diurnal changes. During the construction process, the differences in deep and shallow sea environments are fully considered, and correction factors for multiple reflections and scattering effects are introduced in the shallow sea environment, and the influence of the acoustic channel effect is considered in the deep sea environment. Various noise sources are synthesized based on the principle of energy superposition, and the spatial correlation characteristics of the noise field are described by spatial correlation functions. The model parameters are calibrated and optimized through a large amount of measured data, and the least square method and other methods are used to estimate the parameters, and an error analysis and correction mechanism is established. When implemented in the time domain, the frequency domain characteristics are converted into a time domain waveform through the inverse fast Fourier transform (inverse FFT) method to ensure that the noise signal has the correct statistical characteristics. The final output includes a complete description of the environmental noise characteristics, including time domain waveform, spectrum characteristics, spatial distribution, etc.

[0067] Step S202: obtaining sound wave data and ocean water body data according to the platform parameters and the target noise data, and constructing a sound propagation model according to the sound wave data and the ocean water body data; It is understandable that the sound propagation model mainly describes the propagation characteristics of sound waves in complex underwater environments, and is constructed based on the sound line theory and parabolic equation method. Sound velocity profile modeling: The acoustic characteristics of water bodies are described by sound velocity profiles, and the combined effects of temperature, salinity and pressure are considered. The empirical formula (Chen-Millero equation) is used to calculate the change of sound velocity with depth. Propagation loss calculation: It includes three main parts: geometric expansion loss, dielectric absorption loss and boundary scattering loss. Geometric expansion loss is based on the principle of conservation of acoustic energy, and transitions between spherical expansion and cylindrical expansion; dielectric absorption loss adopts the Francois-Garrison empirical formula, considering borate relaxation, magnesium sulfate relaxation and pure water viscosity effect; boundary scattering loss establishes acoustic models of sea surface and seabed boundaries respectively, among which sea surface scattering is based on the statistical characteristics of sea surface roughness, using composite scattering theory, and seabed scattering considers bottom type, undulation characteristics and layered structure. Multipath propagation analysis: The arrival time and propagation loss of each propagation path are calculated by ray tracing method, and the phase relationship of signals on different paths is considered. Special environment treatment: In shallow sea environment, the focus is on modal coupling effect and acoustic waveguide effect; in deep sea environment, the focus is on describing the characteristics of the acoustic channel and the formation mechanism of the convergence zone. Influence of ocean dynamic process: By introducing time-varying sound velocity profile, the response to ocean dynamic processes such as internal waves and tides is achieved, and the Doppler effect of ocean currents on sound propagation is considered.

[0068] Step S203: obtaining platform self-noise data and operation parameter data according to the platform parameters and the target noise data, and constructing a platform self-noise model; It is understandable that the platform self-noise model is constructed based on the measured data collected by the noise measurement subsystem. Through the systematic analysis of the vibration and acoustic data during the operation of the underwater platform, a comprehensive model including main and auxiliary mechanical noise, propeller noise and fluid dynamic noise is established. It mainly includes mechanical equipment vibration data, underwater radiation noise data and platform operation parameters. The vibration data is obtained by accelerometers arranged on the main equipment and its supporting structure. The underwater radiation noise is collected at different distances and orientations by the hydrophone array. The operating parameters include equipment power, rotation speed, speed, etc. Based on these measured data, the noise source is first identified and the feature is extracted to establish the spectral characteristics and operating parameter correlation of various noise sources; then the vibration propagation path and sound radiation characteristics are determined by transfer function analysis, and the structure-acoustic coupling model is established; finally, the influence of different working conditions and environmental conditions is comprehensively considered to construct a complete platform noise prediction model. The model parameters are calibrated and verified by a large amount of measured data, and an error analysis and correction mechanism is established to ensure the consistency of the model output with the actual characteristics. The model can accurately predict the platform noise characteristics under different operating conditions and provide a reliable simulation environment for the acoustic compatibility evaluation of underwater acoustic equipment.

[0069] Step S204: testing the environmental noise model, the sound propagation model and the platform self-noise model according to the platform parameters and the target noise data, and adjusting the parameters according to the test results to obtain a simulation model.

[0070] It is understandable that after the simulation model is initially constructed, the simulation model can be verified using noise data obtained through actual measurements, and model parameters can be adjusted to improve the accuracy of the simulation model.

[0071] This embodiment obtains wind and wave noise simulation characteristics, rainfall noise simulation characteristics, ship noise simulation characteristics and biological noise simulation characteristics according to the platform parameters and the target noise data, and constructs an environmental noise model; obtains sound wave data and ocean water body data according to the platform parameters and the target noise data, and constructs a sound propagation model according to the sound wave data and the ocean water body data; obtains platform self-noise data and operating parameter data according to the platform parameters and the target noise data, and constructs a platform self-noise model; tests the environmental noise model, the sound propagation model and the platform self-noise model according to the platform parameters and the target noise data, and adjusts the parameters according to the test results to obtain a simulation model.

[0072] This embodiment constructs simulation modeling based on noise data, and can simulate the data of the device under test for subsequent evaluation, thereby improving the accuracy of acoustic compatibility testing and evaluation of the underwater acoustic system of the marine platform.

[0073] For example, in order to help understand the implementation process of the method for testing and evaluating the acoustic compatibility of an underwater acoustic system of an ocean platform obtained by combining this embodiment with the above-mentioned embodiment 1, please refer to Figure 8 , Figure 8A brief flow diagram of an acoustic compatibility test and evaluation method for an underwater acoustic system of an ocean platform is provided. Specifically, the entire process consists of three subsystems: a noise measurement subsystem, a simulation modeling subsystem, and an evaluation and analysis subsystem. The noise measurement subsystem is divided into a data acquisition module and a signal processing module. The data acquisition module performs data acquisition through a sensor array, a multi-channel data acquisition device, and a synchronous control unit. The signal processing module consists of a preprocessing unit, a noise separation unit, and a feature extraction unit. The simulation modeling subsystem consists of a device signal simulation module and a scene modeling module. The device signal simulation module includes environmental noise modeling, a signal generation unit, and an interactive simulation unit. The scene modeling module performs environmental noise modeling, sound propagation modeling, and platform noise modeling. The evaluation subsystem consists of a performance evaluation module and a comprehensive analysis module, which respectively perform performance evaluation and comprehensive analysis from the perspectives of sound pressure level, spectrum characteristics, time-varying characteristics, spatial characteristics, signal-to-noise ratio, and mutual correlation coefficient. In addition, the noise measurement subsystem provides measured data to the simulation modeling subsystem and the evaluation and analysis subsystem; the simulation modeling subsystem performs simulation verification on the noise measurement subsystem and provides simulation data to the evaluation and analysis subsystem; the evaluation and analysis subsystem evaluates and verifies the noise measurement subsystem and provides scenario parameters and equipment parameters to the simulation modeling subsystem.

[0074] It should be noted that the above examples are only used to understand the present application and do not constitute a limitation on the acoustic compatibility test and evaluation method of the underwater acoustic system of the marine platform of the present application. More simple transformations based on this technical concept are all within the scope of protection of the present application.

[0075] This application also provides an acoustic compatibility test and evaluation device for an underwater acoustic system of an ocean platform, please refer to Fig. 9 , the acoustic compatibility testing and evaluation device of the underwater acoustic system of the marine platform comprises: An acquisition module 10 is used to acquire target noise data of an ocean platform; A simulation module 20, for acquiring platform parameters of the offshore platform, and constructing a simulation model according to the platform parameters and the target noise data, wherein the simulation model includes an environmental noise model, a sound propagation model, and a platform self-noise model; The calculation module 30 is used to obtain the parameters of the equipment to be tested of the offshore platform, and obtain the target data according to the parameters of the equipment to be tested and the simulation model; The evaluation module 40 is used to perform performance evaluation and comprehensive analysis on the marine platform according to the target data, so as to complete the acoustic compatibility test and evaluation of the acoustic system.

[0076] The present embodiment provides a method for testing and evaluating the acoustic compatibility of an underwater acoustic system of an ocean platform. The present application obtains target noise data of the ocean platform; obtains platform parameters of the ocean platform, and constructs a simulation model based on the platform parameters and the target noise data, wherein the simulation model includes an environmental noise model, a sound propagation model, and a platform self-noise model; obtains parameters of a device to be tested of the ocean platform, and obtains target data based on the parameters of the device to be tested and the simulation model; and performs performance evaluation and comprehensive analysis on the ocean platform based on the target data to complete the acoustic compatibility test and evaluation of the acoustic system.

[0077] In summary, this embodiment combines the platform self-noise measurement with the ocean environmental noise measurement, realizes the effective separation of multi-source noise, and establishes an accurate simulation model based on the measured data to ensure that the test results are closer to the actual application scenario. By constructing a scientific and complete evaluation index system, the measured data analysis and simulation are organically combined, a multi-dimensional evaluation strategy is adopted, and the subjectivity of the evaluation process is reduced through a reasonable weight distribution mechanism, thereby improving the accuracy of the acoustic compatibility test and evaluation of the underwater acoustic system of the marine platform.

[0078] In one embodiment, the acquisition module 10 is further used to acquire raw noise data of ambient noise and platform self-noise from the hydrophone array; preprocess, separate noise and extract features on the raw noise data to obtain target noise data of the marine platform.

[0079] In one embodiment, the acquisition module 10 is also used to perform data calibration on the original noise data, and filter the data through a preset filtering model to obtain preprocessed noise data; separate environmental noise data and platform self-noise data from the preprocessed noise data through a preset algorithm; obtain noise separation data; analyze the noise separation data from three dimensions: time domain, frequency domain, and time-frequency, and perform feature extraction to obtain target noise data of the marine platform.

[0080] In one embodiment, the simulation module 20 is also used to obtain wind and wave noise simulation characteristics, rainfall noise simulation characteristics, ship noise simulation characteristics and biological noise simulation characteristics according to the platform parameters and the target noise data, and construct an environmental noise model; obtain sound wave data and ocean water body data according to the platform parameters and the target noise data, and construct a sound propagation model according to the sound wave data and the ocean water body data; obtain platform self-noise data and operating parameter data according to the platform parameters and the target noise data, and construct a platform self-noise model; test the environmental noise model, sound propagation model and platform self-noise model according to the platform parameters and the target noise data, and adjust parameters according to the test results to obtain a simulation model.

[0081] In one embodiment, the calculation module 30 is further used to adjust the parameters of the simulation model according to the parameters of the device under test and generate a target signal; and simulate the evolution process of the target signal in the marine environment according to the simulation model to obtain target data.

[0082] In one embodiment, the evaluation module 40 is further used to obtain the sound pressure level, spectral characteristics, time-varying characteristics, spatial characteristics, signal-to-noise ratio and mutual correlation coefficient according to the target data; evaluate the sound pressure level, the spectral characteristics, the time-varying characteristics, the spatial characteristics, the signal-to-noise ratio and the mutual correlation coefficient according to preset indicators to obtain a performance evaluation score; obtain the preset scenario weight of the marine platform, and obtain a weighted evaluation score according to the preset scenario weight and the performance evaluation score; and complete the acoustic compatibility test and evaluation of the acoustic system according to the weighted evaluation score.

[0083] In one embodiment, the evaluation module 40 is also used to score the sound pressure level by numerical value to obtain a performance evaluation score; score the spectrum characteristics by the number of peaks, strong harmonics and spectrum flatness to obtain a performance evaluation score; score the time-varying characteristics by time stability to obtain a performance evaluation score; score the spatial characteristics by the main lobe beam width, side lobe level and sound propagation distance to obtain a performance evaluation score; score the signal-to-noise ratio by numerical value to obtain a performance evaluation score; score the correlation coefficient by numerical value to obtain a performance evaluation score.

[0084] The acoustic compatibility testing and evaluation device for the underwater acoustic system of an ocean platform provided in the present application adopts the acoustic compatibility testing and evaluation method for the underwater acoustic system of an ocean platform in the above-mentioned embodiment, and can solve the technical problem of how to improve the accuracy of the acoustic compatibility testing and evaluation of the underwater acoustic system of an ocean platform. Compared with the prior art, the beneficial effects of the acoustic compatibility testing and evaluation device for the underwater acoustic system of an ocean platform provided in the present application are the same as the beneficial effects of the acoustic compatibility testing and evaluation method for the underwater acoustic system of an ocean platform provided in the above-mentioned embodiment, and the other technical features of the acoustic compatibility testing and evaluation device for the underwater acoustic system of an ocean platform are the same as the features disclosed in the above-mentioned embodiment method, and will not be repeated here.

[0085] The present application provides an acoustic compatibility testing and evaluation device for an underwater acoustic system of an ocean platform. The acoustic compatibility testing and evaluation device for an underwater acoustic system of an ocean platform comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the acoustic compatibility testing and evaluation method for the underwater acoustic system of an ocean platform in the above-mentioned embodiment one.

[0086] Reference below Fig.10 , which shows a schematic diagram of the structure of an acoustic compatibility test and evaluation device for an underwater acoustic system of an ocean platform suitable for implementing an embodiment of the present application. The acoustic compatibility test and evaluation device for an underwater acoustic system of an ocean platform in the embodiment of the present application may include but is not limited to mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions: tablet computers), PMPs (Portable Media Players: portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Fig.10 The acoustic compatibility testing and evaluation equipment for the underwater acoustic system of an ocean platform shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0087] like Fig.10 As shown, the acoustic compatibility test and evaluation equipment for the underwater acoustic system of an ocean platform may include a processing device 1001 (such as a central processing unit, a graphics processor, etc.), which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM: Read Only Memory) 1002 or the program loaded from the storage device 1003 to the random access memory (RAM: Random Access Memory) 1004. Various programs and data required for the operation of the acoustic compatibility test and evaluation equipment for the underwater acoustic system of an ocean platform are also stored in the RAM 1004. The processing device 1001, the ROM 1002, and the RAM 1004 are connected to each other through a bus 1005. The input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to the I / O interface 1006: input devices 1007 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; output devices 1008 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 1003 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 1009. The communication device 1009 can allow the marine platform underwater acoustic system acoustic compatibility test and evaluation equipment to communicate wirelessly or wired with other equipment to exchange data. Although the figure shows the marine platform underwater acoustic system acoustic compatibility test and evaluation equipment with various systems, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems may be implemented or have instead.

[0088] In particular, according to the embodiments disclosed in the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.

[0089] The acoustic compatibility testing and evaluation equipment for the underwater acoustic system of an ocean platform provided in the present application adopts the acoustic compatibility testing and evaluation method for the underwater acoustic system of an ocean platform in the above-mentioned embodiment, which can solve the technical problem of how to improve the accuracy of the acoustic compatibility testing and evaluation of the underwater acoustic system of an ocean platform. Compared with the prior art, the beneficial effects of the acoustic compatibility testing and evaluation equipment for the underwater acoustic system of an ocean platform provided in the present application are the same as the beneficial effects of the acoustic compatibility testing and evaluation method for the underwater acoustic system of an ocean platform provided in the above-mentioned embodiment, and the other technical features in the acoustic compatibility testing and evaluation equipment for the underwater acoustic system of an ocean platform are the same as the features disclosed in the method of the previous embodiment, which will not be repeated here.

[0090] It should be understood that the various parts disclosed in this application can be implemented by hardware, software, firmware or a combination thereof. In the description of the above embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0091] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0092] The present application provides a computer-readable storage medium having computer-readable program instructions (ie, computer programs) stored thereon, and the computer-readable program instructions are used to execute the method for testing and evaluating acoustic compatibility of an underwater acoustic system of an ocean platform in the above-mentioned embodiment.

[0093] The computer-readable storage medium provided in the present application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, systems or devices, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM: Random Access Memory), a read-only memory (ROM: Read Only Memory), an erasable programmable read-only memory (EPROM: Erasable Programmable Read Only Memory or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM: CD-Read Only Memory), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program, which may be used by or in combination with an instruction execution system, system or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency: Radio Frequency), etc., or any suitable combination of the above.

[0094] The computer-readable storage medium may be included in the marine platform underwater acoustic system acoustic compatibility testing and evaluation equipment; or may exist independently without being assembled into the marine platform underwater acoustic system acoustic compatibility testing and evaluation equipment.

[0095] The above-mentioned computer-readable storage medium carries one or more programs. When the above-mentioned one or more programs are executed by the marine platform underwater acoustic system acoustic compatibility testing and evaluation equipment, the marine platform underwater acoustic system acoustic compatibility testing and evaluation equipment: obtains the target noise data of the marine platform; obtains the platform parameters of the marine platform, and constructs a simulation model based on the platform parameters and the target noise data, and the simulation model includes an environmental noise model, a sound propagation model and a platform self-noise model; obtains the parameters of the equipment to be tested of the marine platform, and obtains the target data based on the parameters of the equipment to be tested and the simulation model; and performs performance evaluation and comprehensive analysis on the marine platform based on the target data to complete the acoustic compatibility test and evaluation of the acoustic system.

[0096] Computer program code for performing the operations of the present application may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0097] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present application. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0098] The modules involved in the embodiments described in this application may be implemented by software or hardware, wherein the name of the module does not constitute a limitation on the unit itself in some cases.

[0099] The readable storage medium provided in this application is a computer-readable storage medium, which stores computer-readable program instructions (i.e., computer programs) for executing the above-mentioned method for testing and evaluating the acoustic compatibility of an underwater acoustic system of an ocean platform, and can solve the technical problem of how to improve the accuracy of the acoustic compatibility testing and evaluation of an underwater acoustic system of an ocean platform. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in this application are the same as the beneficial effects of the method for testing and evaluating the acoustic compatibility of an underwater acoustic system of an ocean platform provided in the above-mentioned embodiment, and will not be described in detail here.

[0100] The present application also provides a computer program product, including a computer program, which, when executed by a processor, implements the steps of the above-mentioned method for testing and evaluating the acoustic compatibility of an underwater acoustic system of an ocean platform.

[0101] The computer program product provided by the present application can solve the technical problem of how to improve the accuracy of the acoustic compatibility test and evaluation of the underwater acoustic system of an ocean platform. Compared with the prior art, the beneficial effects of the computer program product provided by the present application are the same as the beneficial effects of the acoustic compatibility test and evaluation method of the underwater acoustic system of an ocean platform provided by the above embodiment, and will not be repeated here.

[0102] The above descriptions are only some embodiments of the present application, and are not intended to limit the patent scope of the present application. All equivalent structural changes made using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect applications in other related technical fields are included in the patent protection scope of the present application.

Claims

1. A method for testing and evaluating acoustic compatibility of an underwater acoustic system of an offshore platform, characterized in that: The method includes: Acquire target noise data of marine platforms; Acquiring platform parameters of the offshore platform, and constructing a simulation model according to the platform parameters and the target noise data, wherein the simulation model includes an environmental noise model, a sound propagation model, and a platform self-noise model; Acquire the parameters of the equipment to be tested of the offshore platform, and obtain target data according to the parameters of the equipment to be tested and the simulation model; The performance of the marine platform is evaluated and comprehensively analyzed based on the target data to complete the acoustic compatibility test and evaluation of the acoustic system.

2. The method according to claim 1, characterized in that The step of obtaining target noise data of the marine platform comprises: Obtain raw noise data of ambient noise and platform self-noise from the hydrophone array; The original noise data is preprocessed, noise separated and feature extracted to obtain target noise data of the ocean platform.

3. The method according to claim 2, characterized in that The steps of preprocessing, noise separation and feature extraction of the original noise data to obtain target noise data of the marine platform include: Performing data calibration on the original noise data and filtering the data through a preset filtering model to obtain preprocessed noise data; Separate environmental noise data and platform self-noise data from noise data through preprocessing with a preset algorithm; obtain noise separation data; The noise separation data is analyzed from three dimensions: time domain, frequency domain and time-frequency, and features are extracted to obtain target noise data of the marine platform.

4. The method according to claim 1, characterized in that The step of constructing a simulation model according to the platform parameters and the target noise data comprises: According to the platform parameters and the target noise data, wind and wave noise simulation characteristics, rainfall noise simulation characteristics, ship noise simulation characteristics and biological noise simulation characteristics are obtained, and an environmental noise model is constructed; Obtaining sound wave data and ocean water body data according to the platform parameters and the target noise data, and constructing a sound propagation model according to the sound wave data and the ocean water body data; Obtaining platform self-noise data and operating parameter data according to the platform parameters and the target noise data, and constructing a platform self-noise model; The environmental noise model, the sound propagation model and the platform self-noise model are tested according to the platform parameters and the target noise data, and the parameters are adjusted according to the test results to obtain a simulation model.

5. The method according to claim 1, characterized in that The step of obtaining target data according to the parameters of the device under test and the simulation model comprises: Adjusting the parameters of the simulation model according to the parameters of the device under test and generating a target signal; The target data is obtained by simulating the evolution process of the target signal in the marine environment according to the simulation model.

6. The method according to claim 1, characterized in that The step of performing performance evaluation and comprehensive analysis on the marine platform according to the target data to complete acoustic compatibility testing and evaluation of the acoustic system includes: Obtaining sound pressure level, frequency spectrum characteristics, time-varying characteristics, spatial characteristics, signal-to-noise ratio and mutual correlation coefficient according to the target data; Evaluate the sound pressure level, the frequency spectrum characteristics, the time-varying characteristics, the spatial characteristics, the signal-to-noise ratio, and the mutual correlation coefficient according to preset indicators to obtain a performance evaluation score; Obtaining a preset scenario weight of the marine platform, and obtaining a weighted evaluation score according to the preset scenario weight and the performance evaluation score; The acoustic compatibility test and evaluation of the acoustic system is completed according to the weighted evaluation score.

7. The method according to claim 6, characterized in that The step of evaluating the sound pressure level, the spectrum characteristics, the time-varying characteristics, the spatial characteristics, the signal-to-noise ratio and the mutual correlation coefficient according to the preset indicators to obtain a performance evaluation score comprises: Scoring the sound pressure level by numerical value to obtain a performance evaluation score; The spectrum characteristics are scored by the number of peaks, strong harmonics, and spectrum flatness to obtain a performance evaluation score; Scoring the time-varying characteristics by temporal stability to obtain a performance evaluation score; The spatial characteristics are scored by main lobe beam width, side lobe level, and sound propagation distance to obtain a performance evaluation score; The signal-to-noise ratio is scored by numerical value to obtain a performance evaluation score; The mutual correlation coefficient is scored by numerical value to obtain a performance evaluation score.

8. An acoustic compatibility testing and evaluation device for an underwater acoustic system of an ocean platform, characterized in that: The device comprises: An acquisition module, used to acquire target noise data of an ocean platform; A simulation module, used to obtain platform parameters of the offshore platform, and to construct a simulation model according to the platform parameters and the target noise data, wherein the simulation model includes an environmental noise model, a sound propagation model, and a platform self-noise model; A calculation module, used for acquiring parameters of the equipment to be tested of the offshore platform, and obtaining target data according to the parameters of the equipment to be tested and the simulation model; An evaluation module is used to perform performance evaluation and comprehensive analysis on the marine platform according to the target data, so as to complete acoustic compatibility testing and evaluation of the acoustic system.

9. An acoustic compatibility test and evaluation device for an underwater acoustic system of an offshore platform, characterized in that: The device comprises: a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the computer program is configured to implement the steps of the method for testing and evaluating the acoustic compatibility of an underwater acoustic system of an ocean platform as described in any one of claims 1 to 7.

10. A storage medium, characterized in that: The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, the method for testing and evaluating the acoustic compatibility of an underwater acoustic system of an ocean platform according to any one of claims 1 to 7 is implemented.

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