CN118036299A - Efficient acoustic compatibility analysis method based on simulation - Google Patents

Abstract

The application discloses a high-efficiency sound compatible analysis method based on simulation, which belongs to the technical field of acoustic engineering and comprises the following steps of firstly developing a sound compatible simulation analysis system, setting different equipment parameters through vue front end interfaces, selecting different scene schemes, modeling the transceiving characteristics of acoustic equipment by Matlab, storing simulation equipment, parameters and interference conditions of the simulation equipment participating in calculation by adopting a database, normalizing the parameters to form a data set on the basis of a large number of repeated simulations, quickly finding out the nearest simulation result in the data set by a matching algorithm during re-simulation, realizing high-efficiency judgment of sound compatibility, and continuously simulating and storing the simulation result in the database if the nearest simulation result is not found, thereby continuously improving the simulation result and improving the accuracy. According to the application, the matching algorithm is supported by a large number of simulation analysis and recording of parameters and analysis results, so that complicated and lengthy acoustic compatibility analysis is reduced, and acoustic compatibility judgment can be rapidly made.

Description

An Efficient Acoustic Compatibility Analysis Method Based on Simulation

Technical Field

The invention belongs to the technical field of acoustic engineering, and in particular relates to an efficient acoustic compatibility analysis method based on simulation.

Background technique

The detection capability of sonar sensors and the strike capability of weapons are greatly affected by noise interference. Therefore, when implementing the detection of sonar sensors, it is necessary to study the acoustic compatibility between various acoustic devices. However, the current acoustic compatibility control methods and processes are not perfect enough. Therefore, it is necessary to propose an efficient acoustic compatibility analysis method based on simulation, aiming to study the acoustic compatibility characteristics between sensors, between sensors and acoustic devices, and between sensors and ship platforms, develop acoustic compatibility management and control software, analyze and predict the acoustic compatibility status based on the model, and then verify and improve the acoustic compatibility control methods and processes, and finally operate and demonstrate them in a visual scene.

Summary of the invention

In view of this, the purpose of the present invention is to provide an efficient acoustic compatibility analysis method based on simulation, which aims to study the acoustic compatibility characteristics between sensors, between sensors and acoustic equipment, and between sensors and ship platforms, develop acoustic compatibility management and control software, analyze and predict the acoustic compatibility status based on the model, and then verify and improve the acoustic compatibility control method and process, and finally operate and demonstrate in a visual scene.

In order to achieve the above object, the present invention provides the following technical solutions:

The present invention provides an efficient acoustic compatibility analysis method based on simulation, comprising the following steps: S1: setting multiple device parameters and scenario solutions through the Vue front end, using the Matlab simulation model to model the transceiver characteristics of the acoustic device, and storing the simulation devices, parameters and interference conditions involved in the calculation in a database;

S2: Perform multiple simulations and normalize the simulation results to form a basic simulation data set;

S3: Perform secondary simulation and obtain new samples through matching algorithm. Find the closest simulation result between the new sample and the basic simulation data set within a preset range through control experiment. If the closest simulation result is not found, store the simulation result in the basic simulation data set and perform simulation again until the closest simulation result is found.

S4: Output results: Display the simulation results and new samples that are closest to the basic simulation data set, and formulate acoustic compatibility management rules and develop acoustic compatibility control software based on the simulation results.

Further, in step S3, the steps of the matching algorithm are:

A1: Scale the parameter data input in the secondary simulation using the following formula so that the value range of all features is between [0,1]:

Where X is the original data, X _min is the minimum value in X, X _max is the maximum value in X, and X _norm is the scaled X value, which ranges from [0,1].

A2: Calculate the distance S between the new sample and all samples in the basic simulation data set by the following formula;

Where p is the newly input sample, q is the sample in the basic simulation data set, _pi is the i-th eigenvalue in the newly input sample, qi _is the i-th eigenvalue of the sample in the basic simulation data set, n is the number of sample features, and _ωi is the corresponding weight;

A3: Select the K most recent new samples in the basic simulation data set according to the S value, where K = 12.

Further, in step S4, the acoustic compatibility control software includes a compatible controller and terminal software, the terminal software is used to simulate the display and control interface of the acoustic equipment on the ship, obtain the main operating parameters of the acoustic equipment in real time, and immediately respond to the acoustic compatibility management control instructions issued by the acoustic compatibility controller; the acoustic compatibility controller is used for acoustic compatibility status monitoring and conflict resolution of the acoustic equipment, and generates acoustic compatibility management control instructions of prompts, suggestions or commands in real time according to the acoustic compatibility management control rules.

Furthermore, the distribution formula of weight ω _i is as follows:

ω _i = k·(3/2) ⁱ

Where k is the scaling factor.

Further, in step S3, the value of the preset range is 0≤S _min ≤0.1.

The beneficial effects of the present invention are:

1. The present invention records the acoustic compatibility of multiple acoustic devices under each parameter combination condition through a large number of repeated acoustic compatibility module simulations; when a set of parameters is input again, the acoustic compatibility results are quickly called and displayed by automatically matching the results of the closest set of parameter combinations in the simulation results; the advantage of this method is that acoustic compatibility judgments can be made quickly, skipping the complicated and lengthy acoustic compatibility analysis process.

2. The present invention conducts simulation analysis and prediction research on the acoustic compatibility characteristics of different devices when working and the receiving and transmitting states of different acoustic devices.

3. The present invention develops corresponding software to provide supporting acoustic compatibility management control and simulation for visual display.

Other advantages, objectives and features of the present invention will be described in the following description and will be apparent to those skilled in the art to some extent, or those skilled in the art may be taught from the practice of the present invention. The objectives and other advantages of the present invention may be realized and obtained through the following description.

BRIEF DESCRIPTION OF THE DRAWINGS

In order to make the purpose, technical solution and beneficial effects of the present invention clearer, the present invention provides the following drawings for illustration:

FIG1 is a flow chart of an embodiment of the present invention;

FIG2 is a flowchart of a matching algorithm implementation according to an embodiment of the present invention;

FIG. 3 is a flow chart of acoustic compatibility state simulation according to an embodiment of the present invention.

Detailed ways

As shown in FIGS. 1 to 3 , the present invention provides an efficient acoustic compatibility analysis method based on simulation, comprising the following steps:

Step 1: Develop and design an acoustic compatibility simulation analysis system, set different equipment parameters through the Vue front-end interface, select different scenario solutions, use Matlab to model the transceiver characteristics of acoustic equipment, use a database to store the simulation equipment, parameters and interference involved in the calculation, and display them at a designated location on board;

Step 2: Based on a large number of repeated simulations, the parameters are normalized to form a data set;

Step 3: During the simulation again, the matching algorithm uses the required parameters to quickly find the most similar simulation result in the data set within the preset range to achieve efficient judgment of acoustic compatibility. If no similar simulation result is found, the simulation will continue and be stored in the database to continuously improve the simulation results and increase accuracy. The preset range is 0≤S _min ≤0.1.

The steps of the matching algorithm include: scaling the data by the following formula so that the value range of all features is between [0, 1];

Where X is the original data, X _min is the minimum value in X, X _max is the maximum value in X, and X _norm is the scaled X value, which ranges from [0,1].

The distance between all feature values of new samples and target samples in the training set is calculated according to the following formula:

Where p is the newly input sample, q is the sample in the basic simulation data set, _pi is the i-th eigenvalue in the newly input sample, qi _is the i-th eigenvalue of the sample in the basic simulation data set, n is the number of sample features, and _ωi is the corresponding weight;

The distribution formula of weight ω _i is as follows:

ω _i = k·(3/2) ⁱ

Among them, k is the proportional factor; this setting can make the weight decrease according to the power of 3/2, ensuring that the weight is larger than the previous one. At the same time, the k value needs to be adjusted to ensure that the sum of all weights is 1. The adjustment formula is as follows:

Select the K samples closest to the input sample, K can be customized, for example K = 12;

Step 4: Output results: Display the simulation results and new samples that are closest to the basic simulation data set, and formulate acoustic compatibility management rules and develop acoustic compatibility control software based on the simulation results.

The present application provides a method for efficiently obtaining analysis results and a simulation analysis system that can set the acoustic parameters of the device. It supports the matching algorithm through a large amount of simulation analysis and records the parameters and analysis results, reduces complicated and lengthy acoustic compatibility analysis, and can quickly make acoustic compatibility judgments.

Finally, it should be noted that the above preferred embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail through the above preferred embodiments, those skilled in the art should understand that various changes can be made in form and details without departing from the scope defined by the claims of the present invention.

Claims (5)

1. A high-efficiency sound compatibility analysis method based on simulation is characterized in that: the method comprises the following steps:

S1: setting a plurality of equipment parameters and scene schemes through vue front ends, modeling the transceiving characteristics of the acoustic equipment by utilizing a Matlab simulation model, and storing simulation equipment, parameters and interference conditions participating in calculation into a database;

S2: performing multiple simulations, and normalizing simulation results to form a basic simulation data set;

S3: and carrying out secondary simulation, obtaining a new sample through a matching algorithm, finding out the nearest simulation result of the new sample and the basic simulation data set in a preset range through a control experiment, if the nearest simulation result is not found, storing the secondary simulation result into the basic simulation data set, and carrying out simulation again until the nearest simulation result is found.

S4: outputting a result: and displaying the simulation result and a new sample which are the closest to the basic simulation data set, and formulating sound compatibility control rules and developing sound compatibility control software according to the simulation result.

2. The simulation-based efficient acoustic compatibility analysis method of claim 1, wherein: in step S3, the step of the matching algorithm is as follows:

a1: the parameter data input in the secondary simulation is scaled by the following formula so that the value range of all features is between [0,1 ]:

wherein X is original data, X _min is the minimum value of X, X _max is the maximum value of X, X _norm is the scaled X value, and the value range is between [0,1 ];

a2: calculating the distance S between the new sample and all samples in the basic simulation data set through the following steps;

Wherein, p is a new input sample, q is a sample in the basic simulation data set, p _i is an ith eigenvalue in the new input sample, q _i is an ith eigenvalue in the sample in the basic simulation data set, n is a sample eigenvalue, ω _i is a corresponding weight;

a3: the nearest K new samples in the underlying simulation dataset are selected according to the S value, where k=12.

3. The simulation-based efficient acoustic compatibility analysis method of claim 1, wherein: in step S4, the sound compatible control software includes a compatible controller and terminal software, where the terminal software is used to simulate a display control interface of the acoustic device on the ship, obtain main operation parameters of the acoustic device in real time, and respond to a sound compatible management control instruction issued by the sound compatible controller in real time; the sound compatibility controller is used for monitoring sound compatibility states of the acoustic equipment and processing conflict, and generating sound compatibility management control instructions of prompts, suggestions or commands in real time according to sound compatibility management control rules.

4. The simulation-based efficient acoustic compatibility analysis method of claim 2, wherein: the assignment formula for the weights ω _i is as follows:

ω_i＝k·(3/2)ⁱ

where k is a scale factor.

5. The simulation-based efficient acoustic compatibility analysis method of claim 2, wherein: in step S3, the value of the preset range is more than or equal to 0 and less than or equal to S _min and less than or equal to 0.1.