A multi-objective optimization sound field partition control method and system

Abstract

This invention relates to the field of sound field control technology, and discloses a multi-objective optimization sound field zoning control method and system. The control method includes the following steps: S1, initializing the control area of ​​the sound field, wherein the control area is equipped with a loudspeaker array and a microphone array; defining the area in the control area where a specific sound field is desired to be generated as the bright area, and defining the area in the control area where a specific sound field is not desired to be generated as the dark area; S2, constructing a sound field zoning control model with constraints of bright area reconstruction error and loudspeaker array power, and aiming to regulate the sound energy of the dark area and balance the sound energy difference between the bright and dark areas; S3, based on the sound field zoning control model, using a multi-objective optimization algorithm to obtain the optimal excitation signal for the loudspeakers, and adjusting both the sound energy difference between the bright and dark areas and the sound energy of the dark area. This invention solves the problem of the inability to adjust the sound energy difference between the bright and dark areas and the sound energy of the dark area in the prior art, and has the characteristics of accuracy and stability.

Description

Technical Field

[0001] This invention relates to the field of sound field control technology, and more specifically, to a multi-objective optimized sound field zoning control method and system. Background Technology

[0002] With the rapid development of advanced intelligent driving, intelligent cockpit voice control technology, as a crucial means of human-vehicle-road interaction, has received widespread attention. Simultaneously, the diversification of user needs and the increasingly sophisticated low-noise environment of cockpits have intensified the demand for sound privacy. For example, the driver might want to listen to navigation while the passenger wants to listen to music or watch a movie, without interference. These needs fall under the category of sound field zoning, which aims to generate different sound field environments in different areas without mutual interference. Areas where a specific sound field is desired are defined as bright areas; areas where a specific sound field is not desired are defined as dark areas.

[0003] To achieve sound field zoning control in automotive intelligent cockpits, current control algorithms based on in-vehicle speaker arrays mainly include PM (Pressure Matching), ACC (Acoustic Contrast Control), and PSR-RC (Personal Sound Reproduction with Robust Control). The PM algorithm aims to set the target sound field in the dark area to 0, integrate the target sound field in the bright area to define a global target sound field, and solve for the excitation signal of the speaker array by minimizing the global target sound field to reconstruct the sound field in the bright area. The ACC algorithm aims to maximize the sound energy ratio between the bright and dark areas by adjusting the amplitude and phase of the input signals of the speaker array units to maximize the sound energy ratio between the bright and dark areas, achieving sound energy radiation to the bright area while minimizing the sound energy in the dark area. The PSR-RC algorithm aims to minimize the sound energy in the dark area by using the sound field reconstruction error in the bright area as a constraint, indirectly regulating the sound energy contrast between the bright and dark areas through the control of the sound energy in the dark area. However, the above algorithms do not consider the balance between regulating the sound energy in the dark area and the difference between the sound energy in the bright and dark areas. This single-objective optimization model focuses on only a specific optimization objective, while ignoring other equally important factors and objectives, leading to narrow decision-making and incomplete results. At the same time, the single-objective optimization model is also easily affected by the initial value, causing it to get stuck in local optima and fail to achieve the global optimum, resulting in inaccurate and unstable decision-making.

[0004] CN106231503A discloses an audio system and control method for in-vehicle zone control. The objective function is to minimize the sound energy in the dark zone. By measuring the electroacoustic transfer function from the speaker array to the control points in the front and rear zones of the vehicle, the control scenario is defined, a control model in the frequency domain is constructed, and the model is solved to obtain the excitation signal of the speaker array. This achieves the independence of the sound fields in the front and rear zones of the vehicle. However, it does not consider the balance problem of the sound energy difference between the dark zone and the bright and dark zone.

[0005] CN114827837A discloses a sound field zoning control method for maximizing sound energy contrast under reconstruction error constraints. The method takes maximizing sound energy contrast as the objective function and gives an allowable reconstruction sound field error. Under the premise of reconstruction error constraints, the method uses a coordinate descent algorithm to maximize sound energy contrast and obtains the coefficients of the control filter, thereby maximizing sound energy contrast under the given sound field reconstruction error. However, it does not consider the balance problem of sound energy difference between dark areas and bright and dark areas.

[0006] However, existing technologies still have the problem of differences in sound energy between bright and dark areas and the inability to adjust the sound energy in dark areas. Therefore, how to invent a sound field zoning control method and system that allows for adjustable sound energy differences between bright and dark areas and sound energy in dark areas is a technical problem that urgently needs to be solved in this field. Summary of the Invention

[0007] To address the problems of sound energy differences between bright and dark areas and the inability to adjust sound energy in dark areas in existing technologies, this invention provides a multi-objective optimized sound field zoning control method and system, which is accurate and stable.

[0008] To achieve the above-mentioned objectives of this invention, the technical solution adopted is as follows:

[0009] A multi-objective optimization method for sound field zoning control includes the following steps:

[0010] S1. Initialize the control area of ​​the sound field, wherein the control area is equipped with a speaker array and a microphone array; define the area in the control area where a specific sound field is expected to be generated as the bright area, and define the area in the control area where a specific sound field is not expected to be generated as the dark area.

[0011] S2. Construct a sound field zoning control model with constraints of bright area reconstruction error and loudspeaker array power, and with the goal of regulating the sound energy in dark area and balancing the sound energy difference between bright and dark areas.

[0012] S3. Based on the sound field zoning control model, the optimal excitation signal of the loudspeaker is obtained by using a multi-objective optimization algorithm, and the sound energy difference between the bright and dark areas and the sound energy in the dark area are adjusted.

[0013] Preferably, in step S1, the region in the control area where a specific sound field is expected to be generated is defined as the bright region, and the region in the control area where a specific sound field is not expected to be generated is defined as the dark region, specifically:

[0014] Users can customize the display screen to select the control area as either a bright or dark zone based on the brightness and darkness areas.

[0015] If a bright area is selected, that area is set as the area where a specific sound field is expected to be generated, and the specific sound field is further selected.

[0016] If you select the dark area, you set that area as the region where you do not want to produce a specific sound field.

[0017] Furthermore, the specific sound field expected in the Mingqu area includes navigation sounds, music sounds, and broadcast sounds.

[0018] Furthermore, the microphone array is used to collect in-vehicle sound signals, measure the transfer function from the speaker array to the microphone array, and verify the effectiveness of the zone control.

[0019] Furthermore, in step S2, a sound field zoning control model is constructed, with constraints on the bright area reconstruction error and the power of the loudspeaker array, and with the goal of regulating the sound energy in the dark area and balancing the sound energy difference between the bright and dark areas. Specifically:

[0020]

[0021] st||P B (f)-P goal (f)| | 2≤a

[0022] ||g(f)|| 2 ≤b

[0023] Where, P(f)=Z D (f)g(f) represents the reconstructed sound field in the dark area. It is P D The conjugate transpose of (f), g(f) is the loudspeaker array excitation signal, P goal (f) represents the target sound field to be reconstructed within the bright area; P B (f)=Z B (f)g(f) represents the reconstructed sound field in the bright area. It is P B The conjugate transpose of (f), Z B (f) is the transfer function from the loudspeaker array to the microphone array in the bright area and Z. D (f) is the transfer function matrix from the loudspeaker array to the microphone array in the dark area; a is the constraint condition for reconstruction error in the bright area, b is the constraint condition for the power of the loudspeaker array, and f is the frequency.

[0024] Furthermore, in step S3, the optimal excitation signal for the loudspeaker is obtained by using a multi-objective optimization algorithm based on the sound field zoning control model. Specifically, the sound field zoning control model is iteratively optimized through selection, crossover, and mutation operations; the output of the optimal generation of the sound field zoning control model is selected as the optimal excitation signal for the optimal loudspeaker.

[0025] Furthermore, the optimal excitation signal of the optimal loudspeaker is transmitted through a digital-to-analog converter and a power amplifier to reconstruct the target sound field in the bright area.

[0026] A multi-objective optimized sound field zoning control system includes a bright / dark zone construction module, a model calculation module, and a sound field zoning control module;

[0027] The light and dark zone construction module is used to initialize the control area of ​​the sound field. The control area is equipped with a speaker array and a microphone array. The area in the control area where a specific sound field is expected to be generated is defined as the light zone, and the area in the control area where a specific sound field is not expected to be generated is defined as the dark zone.

[0028] The aforementioned model calculation module is used to construct a sound field zoning control model with constraints of bright area reconstruction error and loudspeaker array power, and with the goal of controlling the sound energy in dark areas and balancing the sound energy difference between bright and dark areas; based on the sound field zoning control model, a multi-objective optimization algorithm is used to solve for the optimal excitation signal of the loudspeaker;

[0029] The aforementioned sound field zoning control module is used to adjust the sound energy difference between bright and dark areas and the sound energy in dark areas.

[0030] Furthermore, the light and dark area construction module includes a custom display screen; the custom display screen is used to allow users to divide light and dark areas.

[0031] Furthermore, the model calculation module includes a sound field zoning control algorithm integrated processor; the sound field zoning control algorithm integrated processor is used to construct a sound field zoning control model based on the user-defined bright and dark zones and the target sound field to be reconstructed in the bright zone, with the bright zone reconstruction error and the power of the loudspeaker array as constraints, and the objective of regulating the sound energy difference between the dark zone and the bright and dark zone as objectives; based on the sound field zoning control model, a multi-objective optimization algorithm is used to solve for the optimal excitation signal of the loudspeaker.

[0032] The beneficial effects of this invention are as follows:

[0033] This invention discloses a multi-objective optimized sound field zoning control method and system. The invention initializes the control area of ​​the sound field using the multi-objective optimized sound field zoning control method that considers the difference in sound energy between bright and dark zones and the balance of sound energy in dark zones. The area within the control area where a specific sound field is desired is defined as the bright zone. A sound field zoning control model is constructed, with bright zone reconstruction error and loudspeaker array power as constraints, and with the goal of regulating the sound energy in dark zones and balancing the sound energy difference between bright and dark zones. This multi-objective strategy, considering both the difference in sound energy between bright and dark zones and the sound energy in dark zones, solves the problem of the inability to adjust the difference in sound energy between bright and dark zones and the sound energy in dark zones in existing technologies, and exhibits accurate and stable characteristics. Attached Figure Description

[0034] Figure 1 This is a flowchart illustrating a multi-objective optimized sound field zoning control method according to the present invention.

[0035] Figure 2 This is a schematic diagram of a sound field zoning control system for a multi-objective optimized sound field zoning control system according to the present invention.

[0036] Figure 3 This invention relates to a user-defined display screen for bright and dark zones in a multi-objective optimized sound field zoning control system.

[0037] Figure 4 This is a flowchart illustrating the implementation steps of a multi-objective optimized sound field zoning control system according to the present invention.

[0038] Figure 5 This is a single-area microphone array layout diagram of a multi-objective optimized sound field zoning control system according to the present invention.

[0039] Figure 6 This is a speaker array layout diagram of a multi-objective optimized sound field zoning control system according to the present invention.

[0040] Figure 7 This is a schematic diagram showing the frequency domain level comparison of sound energy in bright and dark regions for different control methods of a multi-objective optimized sound field zoning control system according to the present invention.

[0041] Figure 8 This is a schematic diagram comparing the frequency domain-level acoustic energy of dark areas using different control methods of a multi-objective optimized acoustic field zoning control system according to the present invention. Detailed Implementation

[0042] The present invention will now be described in detail with reference to the accompanying drawings and specific embodiments.

[0043] like Figure 1 As shown, a multi-objective optimization method for sound field zoning control includes the following steps:

[0044] S1. Initialize the control area of ​​the sound field, wherein the control area is equipped with a speaker array and a microphone array; define the area in the control area where a specific sound field is expected to be generated as the bright area, and define the area in the control area where a specific sound field is not expected to be generated as the dark area.

[0045] S2. Construct a sound field zoning control model with constraints of bright area reconstruction error and loudspeaker array power, and with the goal of regulating the sound energy in dark area and balancing the sound energy difference between bright and dark areas.

[0046] S3. Based on the sound field zoning control model, the optimal excitation signal of the loudspeaker is obtained by using a multi-objective optimization algorithm, and the sound energy difference between the bright and dark areas and the sound energy in the dark area are adjusted.

[0047] Example 2

[0048] More specifically, in one embodiment, in step S1, the region in the control area where a specific sound field is expected to be generated is defined as the bright region, and the region in the control area where a specific sound field is not expected to be generated is defined as the dark region. Specifically:

[0049] Users can customize the display screen to select the control area as either a bright or dark zone based on the brightness and darkness areas.

[0050] If a bright area is selected, that area is set as the area where a specific sound field is expected to be generated, and the specific sound field is further selected.

[0051] If you select the dark area, you set that area as the region where you do not want to produce a specific sound field.

[0052] In one specific embodiment, the desired specific sound field in the bright area includes navigation sounds, music sounds, and broadcast sounds.

[0053] In one specific embodiment, the microphone array is used to collect in-vehicle sound signals, measure the transfer function from the speaker array to the microphone array, and verify the effect of zone control.

[0054] In one specific embodiment, step S2 involves constructing a sound field zoning control model with constraints on the bright area reconstruction error and the power of the loudspeaker array, aiming to regulate the sound energy in the dark area and balance the sound energy difference between the bright and dark areas. Specifically:

[0055]

[0056] st||P B (f)-P goal (f)|| 2 ≤a

[0057] ||g(f)|| 2 ≤b

[0058] Where, P(f)=Z D (f)g(f) represents the reconstructed sound field in the dark area. It is P D The conjugate transpose of (f), g(f) is the loudspeaker array excitation signal, P goal (f) represents the target sound field to be reconstructed within the bright area; P B (f)=Z B (f)g(f) represents the reconstructed sound field in the bright area. It is P B The conjugate transpose of (f), Z B (f) is the transfer function from the loudspeaker array to the microphone array in the bright area and Z. D (f) is the transfer function matrix from the loudspeaker array to the microphone array in the dark area; a is the constraint condition for reconstruction error in the bright area, b is the constraint condition for the power of the loudspeaker array, and f is the frequency.

[0059] In this embodiment, a multi-objective optimization algorithm is used to obtain the optimal excitation signal for the loudspeaker, achieving adjustable sound energy differences between bright and dark areas and adjustable sound energy in dark areas. Compared to single-objective optimization models that find the optimal solution along a "line," multi-objective optimization models can be viewed as starting from a "surface" perspective, searching for the optimal "line" (Pareto solution set). This type of optimization model, which considers multiple objectives simultaneously, makes reasonable trade-offs among different objectives, resulting in a more comprehensive, adaptable, and robust decision-making scheme. Commonly used multi-objective optimization algorithms include the NSGA-II algorithm, multi-objective particle swarm optimization, and gradient descent.

[0060] In a specific embodiment, in step S3, the optimal excitation signal for the loudspeaker is obtained by using a multi-objective optimization algorithm based on the sound field zoning control model. Specifically, the optimization of two objectives, namely the sound energy difference between bright and dark areas and the sound energy in dark areas, is achieved by using the NSGA-II algorithm. The sound field zoning control model is iteratively optimized through selection, crossover, and mutation operations. The output of the optimal generation sound field zoning control model is selected as the optimal excitation signal for the optimal loudspeaker.

[0061] In one specific embodiment, the optimal excitation signal of the optimal loudspeaker is transmitted through a digital-to-analog converter and a power amplifier to reconstruct the target sound field in the bright area.

[0062] This invention discloses a multi-objective optimized sound field zoning control method. The invention initializes the control area of ​​the sound field by considering the difference in sound energy between bright and dark zones and the balance of sound energy in dark zones. The area within the control area where a specific sound field is desired is defined as the bright zone. A sound field zoning control model is constructed, constrained by the reconstruction error in the bright zone and the power of the loudspeaker array, with the objective of regulating the sound energy in the dark zone and balancing the sound energy difference between bright and dark zones. This multi-objective strategy, considering both the difference in sound energy between bright and dark zones and the sound energy in dark zones, solves the problem of the inability to adjust the difference in sound energy between bright and dark zones and the sound energy in dark zones in existing technologies, and exhibits accuracy and stability.

[0063] Example 3

[0064] A multi-objective optimized sound field zoning control system includes a bright / dark zone construction module, a model calculation module, and a sound field zoning control module;

[0065] The light and dark zone construction module is used to initialize the control area of ​​the sound field. The control area is equipped with a speaker array and a microphone array. The area in the control area where a specific sound field is expected to be generated is defined as the light zone, and the area in the control area where a specific sound field is not expected to be generated is defined as the dark zone.

[0066] The aforementioned model calculation module is used to construct a sound field zoning control model with constraints of bright area reconstruction error and loudspeaker array power, and with the goal of controlling the sound energy in dark areas and balancing the sound energy difference between bright and dark areas; based on the sound field zoning control model, a multi-objective optimization algorithm is used to solve for the optimal excitation signal of the loudspeaker;

[0067] The aforementioned sound field zoning control module is used to adjust the sound energy difference between bright and dark areas and the sound energy in dark areas.

[0068] In one specific embodiment, the light and dark area construction module includes a custom display screen; the custom display screen is used to allow users to divide the light and dark areas.

[0069] In this embodiment, as Figure 2 As shown, there are two sound field control areas, divided into the front and rear areas within the car cabin. To obtain the three-dimensional spatial sound field information for each seat control area, each control area contains two seats, with eight microphones per seat, arranged in two layers above and below the passenger's head area. The control area is approximately 0.3m × 0.15m × 0.08m. Figure 5 As shown. There are 12 speakers, located in the car seats and on the roof of the cabin, as... Figure 6 As shown.

[0070] In this embodiment, as Figure 3As shown, users can customize the display screen according to the light and dark areas, defining the front area of ​​the car as the light area and the rear passenger area as the dark area.

[0071] In one specific embodiment, the model calculation module includes a sound field zoning control algorithm integrated processor; the sound field zoning control algorithm integrated processor is used to construct a sound field zoning control model based on the user-defined bright and dark zones and the target sound field to be reconstructed in the bright zone, with the reconstruction error in the bright zone and the power of the loudspeaker array as constraints, and the objective of regulating the sound energy difference between the dark zone and the bright and dark zone as objectives; based on the sound field zoning control model, a multi-objective optimization algorithm is used to solve for the optimal excitation signal of the loudspeaker.

[0072] In this embodiment, as Figure 4 As shown, in the model calculation module, the transfer function from the 12-speaker array to the two regional microphone arrays is measured to obtain Z. B (f), Z D (f) Both transfer functions are 8×12 matrices, Z B (f) is the transfer function matrix from the speaker array to the microphone array in the front row of the car, Z D (f) represents the transfer function matrix from the speaker array to the microphone array in the rear of the car, and the target sound field P to be reconstructed in the bright area. goal (f) represents the spectral characteristics of a certain navigation tone. Based on the definition, a multi-objective optimization sound field zoning control model is constructed, considering both the difference in sound energy between bright and dark areas and the balance of sound energy in dark areas.

[0073] In this embodiment, the optimization of two objectives, namely the sound energy difference between bright and dark areas and the sound energy in dark areas, is achieved by using the NSGA-II algorithm. The maximum number of generations is set to 100. Through selection, crossover and mutation operations, the multi-objective optimization model is generated from the first generation to the 100th generation, and the optimal generation is selected from them, namely the loudspeaker excitation signal, so that both the sound energy difference between bright and dark areas and the sound energy in dark areas can be adjusted.

[0074] In this embodiment, to test the zoning control performance of the sound field zoning control method that simultaneously considers the sound energy difference between dark and bright areas, this method is compared with two other zoning control methods: minimizing the sound energy in the dark area only and maximizing the sound energy difference between the bright and dark areas only. Figure 7 and Figure 8 As shown. By Figure 7It can be seen that, within the 0-1kHz range, the sound field zoning control method that simultaneously considers the difference in sound energy between dark and bright areas has a frequency domain-level average contrast ratio of 25dB between bright and dark areas, while the sound field zoning control method that only considers minimizing the sound energy in dark areas has a frequency domain-level average contrast ratio of 22dB. Therefore, the sound field zoning control method that simultaneously considers the difference in sound energy between dark and bright areas achieves better contrast ratio between bright and dark areas than the sound field zoning control method that only considers minimizing the sound energy in dark areas. Figure 8 It can be seen that the frequency domain-level average dark area sound energy of the sound field zoning control method that simultaneously considers both the dark area sound energy and the difference between the bright and dark areas sound energy is 0.12 dB, while the frequency domain-level average dark area sound energy of the sound field zoning control method that only considers maximizing the difference between the bright and dark areas sound energy is 0.40 dB. Therefore, the sound field zoning control method that simultaneously considers both the dark area sound energy and the difference between the bright and dark areas sound energy can achieve a lower dark area sound energy than the method that only considers maximizing the difference between the bright and dark areas sound energy. Therefore, the multi-objective sound field zoning control method that simultaneously considers both the dark area sound energy and the difference between the bright and dark areas sound energy can regulate the balance between the dark area sound energy and the difference between the bright and dark areas sound energy, achieving a balance between the two.

[0075] Obviously, the above embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not intended to limit the implementation of the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the protection scope of the claims of the present invention.

Claims

1. A multi-objective optimization method for sound field zoning control, characterized in that: Includes the following steps: S1. Initialize the control area of ​​the sound field, wherein the control area is equipped with a speaker array and a microphone array; define the area in the control area where a specific sound field is expected to be generated as the bright area, and define the area in the control area where a specific sound field is not expected to be generated as the dark area. S2. Construct a sound field zoning control model with constraints of bright area reconstruction error and loudspeaker array power, aiming to regulate the sound energy in the dark area and balance the sound energy difference between the bright and dark areas. Specifically, the model uses minimizing the sound energy in the dark area and maximizing the sound energy difference between the bright and dark areas as two parallel and independent optimization objectives, without weighted merging. The calculation expression of the sound field zoning control model is as follows: in, To reconstruct the sound field in the dark area, yes The conjugate transpose of . This is the excitation signal for the loudspeaker array. The target sound field to be reconstructed within the Ming District; To rebuild the sound field in the Ming District, yes The conjugate transpose of . The transfer function from the loudspeaker array to the microphone array in the bright area and This is the transfer function matrix from the loudspeaker array to the microphone array in the dark area; The constraints for the reconstruction error of the bright area are as follows: The constraint condition for the power of the loudspeaker array is... For frequency; S3. Based on the sound field zoning control model, a multi-objective optimization algorithm is used to obtain the Pareto optimal solution set. According to actual usage requirements, the optimal excitation signal for the loudspeaker is selected from the Pareto optimal solution set. Specifically, the optimization of the two objectives of sound energy difference in bright and dark areas and sound energy in dark areas is achieved using the NSGA-II algorithm. The sound field zoning control model is iteratively optimized through selection, crossover, and mutation operations. The output of the optimal first-generation sound field zoning control model is selected as the optimal excitation signal for the loudspeaker. The sound energy difference in bright and dark areas and the sound energy in dark areas are both adjusted.

2. The multi-objective optimization sound field zoning control method according to claim 1, characterized in that: In step S1, the region in the control area where a specific sound field is expected to be generated is defined as the bright region, and the region in the control area where a specific sound field is not expected to be generated is defined as the dark region. Specifically: Users can customize the display screen to select the control area as either a bright or dark zone based on the brightness and darkness areas. If a bright area is selected, that area is set as the area where a specific sound field is expected to be generated, and the specific sound field is further selected. If you select the dark area, you set that area as the region where you do not want to produce a specific sound field.

3. The multi-objective optimization sound field zoning control method according to claim 2, characterized in that: The specific sound field expected in the Ming area includes navigation sounds, music sounds, and broadcast sounds.

4. The multi-objective optimized sound field zoning control method according to claim 2, characterized in that: The microphone array is used to collect in-vehicle sound signals, measure the transfer function from the speaker array to the microphone array, and verify the effect of zone control.

5. The multi-objective optimization sound field zoning control method according to claim 1, characterized in that: The optimal loudspeaker's optimal excitation signal is transmitted through a digital-to-analog converter and a power amplifier to reconstruct the target sound field in the bright area.

6. A multi-objective optimized sound field zoning control system, characterized in that: Includes a light and dark area construction module, a model calculation module, and a sound field zoning control module; The light and dark zone construction module is used to initialize the control area of ​​the sound field. The control area is equipped with a speaker array and a microphone array. The area in the control area where a specific sound field is expected to be generated is defined as the light zone, and the area in the control area where a specific sound field is not expected to be generated is defined as the dark zone. The aforementioned model calculation module is used to construct a sound field zoning control model with constraints of bright area reconstruction error and loudspeaker array power, aiming to regulate the sound energy in the dark area and balance the sound energy difference between the bright and dark areas. Specifically, it uses minimizing the sound energy in the dark area and maximizing the sound energy difference between the bright and dark areas as two parallel and independent optimization objectives, without weighted merging. The calculation expression of the sound field zoning control model is as follows: in, To reconstruct the sound field in the dark area, yes The conjugate transpose of . This is the excitation signal for the loudspeaker array. The target sound field to be reconstructed within the Ming District; To rebuild the sound field in the Ming District, yes The conjugate transpose of . The transfer function from the loudspeaker array to the microphone array in the bright area and This is the transfer function matrix from the loudspeaker array to the microphone array in the dark area; The constraints for the reconstruction error of the bright area are as follows: The constraint condition for the power of the loudspeaker array is... For frequency; The aforementioned sound field zoning control module is used to obtain a Pareto optimal solution set based on the sound field zoning control model using a multi-objective optimization algorithm. The optimal excitation signal for the loudspeaker is then selected from the Pareto optimal solution set according to actual usage requirements. Specifically, the module employs an NSGA-II algorithm to optimize two objectives: the sound energy difference between bright and dark zones and the sound energy in the dark zone. The sound field zoning control model is iteratively optimized through selection, crossover, and mutation operations. The output of the optimal first-generation sound field zoning control model is selected as the optimal excitation signal for the loudspeaker. Adjustments are made to both the sound energy difference between bright and dark zones and the sound energy in the dark zone.

7. The multi-objective optimized sound field zoning control system according to claim 6, characterized in that: The light and dark area construction module includes a custom display screen; the custom display screen is used to allow users to divide light and dark areas.

8. The multi-objective optimized sound field zoning control system according to claim 7, characterized in that: The model calculation module includes a sound field zoning control algorithm integrated processor. This integrated processor is used to construct a sound field zoning control model based on user-defined bright and dark zones and the target sound field to be reconstructed within the bright zone. The model is constrained by the reconstruction error in the bright zone and the power of the loudspeaker array, with the goal of balancing the sound energy difference between the dark and bright zones. Based on the sound field zoning control model, a multi-objective optimization algorithm is used to obtain the optimal excitation signal for the loudspeakers.

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