Sound Intelligence Film Intelligent Soundscape Mixing Method and System

Abstract

The present application relates to a method and system for intelligent soundscape mixing of a sound-intelligent membrane, and relates to the field of electronic technology; the application also involves developing an ecological scene editing and management engine, which enables operators to easily create and adjust a "full scene mode". Through a graphical interface, the actions of equipment such as audio and lighting are arranged into a timeline or logical link, supporting the automatic execution of complex linkages. An AI adaptive control algorithm is introduced to dynamically adjust device parameters based on sensor and environmental data to achieve intelligent optimization of scene effects. Artificial intelligence is supported to learn common scene modes based on historical data, and to optimize switching strategies to improve user experience.

Description

Technical Field

[0001] The present application relates to the field of electronic technology, and in particular to a method and system for intelligent soundscape mixing using a sound-intelligence membrane. Background Art

[0002] An air dome is an inflatable structure made of high-strength, flexible membrane material supported by air pressure. Its key feature is a continuous air supply system that maintains a pressure differential between inside and outside, allowing the membrane to expand and form, thus creating large spans without the need for traditional beams and columns.

[0003] Air-inflated stadiums can be used in a variety of scenarios. In some scenarios, audio equipment and lighting equipment may be involved. It is necessary to control the audio equipment and lighting equipment accordingly based on the characteristics of the air-inflated stadium to ensure the application effect of the air-inflated stadium. Summary of the Invention

[0004] The purpose of this application is to provide a sound-intelligence membrane intelligent soundscape mixing method and system, the sound-intelligence membrane intelligent soundscape mixing method and system.

[0005] In order to achieve the above-mentioned objectives, in the first aspect, the present application provides a sound-intelligent membrane intelligent soundscape mixing method, including: obtaining an original device action execution link and an air-inflated venue usage mode configured through a graphical interface, the original device action execution link including the original action execution sequence and original action execution time of the audio equipment and lighting equipment in the air-inflated venue; obtaining original device control parameters according to the air-inflated venue usage mode; adjusting the original device action execution link at least according to the usage mode to obtain a target device action execution link, wherein the usage mode is at least used to determine the delay of the original action execution time and / or the adjustment strategy of the original action execution sequence in the original device action execution link; controlling the audio equipment and the lighting equipment according to the original device control parameters and the target device action execution link.

[0006] Optionally, the obtaining of the original device action execution link and the air-inflated venue usage mode configured through a graphical interface includes: displaying a graphical interface, the graphical interface including: an audio equipment distribution map, a lighting equipment distribution map, and a mixed distribution map, the audio equipment distribution map including the distribution of audio equipment in the air-inflated venue and an audio equipment information viewing option, the lighting equipment distribution map including the distribution of lighting equipment in the air-inflated venue and a lighting equipment information viewing option, the mixed distribution map including the distribution of key audio equipment in the air-inflated venue, the distribution of key lighting equipment in the air-inflated venue, and an air-inflated venue usage mode configuration option; in response to a configuration operation on the graphical interface, determining the original device action execution link and the air-inflated venue usage mode, wherein the configuration operation includes at least one of the following operations: a connection operation on audio equipment in the audio equipment distribution, a connection operation on lighting equipment in the lighting equipment distribution, a connection operation on key audio equipment in the key audio equipment distribution and key lighting equipment in the key lighting equipment distribution, and a configuration operation on the air-inflated venue usage mode configuration option.

[0007] Optionally, obtaining the original device control parameters according to the air-inflated venue usage mode includes: obtaining the device control parameters under a pre-configured basic usage mode; obtaining the device control parameter coefficient under a pre-configured non-basic usage mode, the device control parameter coefficient being a coefficient compared to the device control parameters under the basic usage mode, wherein the device control parameter coefficient is updated by the actual device control parameters under the non-basic usage mode; when the air-inflated venue usage mode belongs to the basic usage mode, determining the device control parameters under the air-inflated venue usage mode as the original device control parameters; when the air-inflated venue usage mode belongs to the non-basic usage mode, determining the original device control parameters based on the device control parameter coefficient under the air-inflated venue usage mode and the device control parameters under the basic usage mode.

[0008] Optionally, the method further includes: obtaining actual device control parameters in the non-basic usage mode; obtaining original device control parameters in the non-basic usage mode; determining the difference between the actual device control parameters in the non-basic usage mode and the original device control parameters; when the difference is lower than a preset difference, determining the ratio between the actual device control parameters in the non-basic usage mode and the device control parameters in the basic usage mode; updating the device control parameter coefficient in the non-basic usage mode according to the ratio; when the difference is higher than a preset difference, updating the device control parameter coefficient in the non-basic usage mode according to the preset difference.

[0009] Optionally, the original device action execution link is adjusted at least according to the usage mode of the air-inflated venue to obtain a target device action execution link, including: determining the acoustic reflection characteristics corresponding to multiple areas of the air-inflated venue at least according to the usage mode of the air-inflated venue; determining the adjustment strategy of the original device action execution link according to the acoustic reflection characteristics, the adjustment strategy including: the action execution sequence that needs to be adjusted in the original action execution sequence and / or the action execution time that needs to be delayed in the original action execution time; inputting the original device action execution link and the adjustment strategy into the AI ​​intelligent agent to obtain the target device action execution link output by the AI ​​intelligent agent.

[0010] Optionally, the acoustic reflection characteristics corresponding to multiple areas of the air-inflated venue are determined at least according to the usage mode of the air-inflated venue, including: displaying a pre-established three-dimensional model of the air-inflated venue and model setting options, the model setting options including: usage mode adjustment options, environment setting options related to acoustic reflection, and acoustic reflection feature simulation options; in response to the operation of the usage mode adjustment option, adjusting the simulated usage mode of the three-dimensional model of the air-inflated venue to the usage mode of the air-inflated venue; in response to the operation of the environment setting option, adjusting the simulated environment of multiple areas of the three-dimensional model of the air-inflated venue to the target environment; in response to the operation of the acoustic reflection feature simulation option, performing acoustic reflection simulation on the three-dimensional model device of the air-inflated venue to obtain the acoustic reflection characteristics corresponding to multiple areas of the air-inflated venue, wherein the acoustic reflection characteristics include: acoustic reflection intensity and acoustic reflection path.

[0011] Optionally, the acoustic reflection characteristics include: acoustic reflection intensity and acoustic reflection path, and determining the adjustment strategy based on the acoustic reflection characteristics includes: determining, from the multiple areas, a first area where the acoustic reflection intensity is higher than a preset reflection intensity; determining, from the multiple areas, a second area where the number of areas passed by the acoustic reflection path is higher than a preset number; determining the action execution order related to the audio equipment and lighting equipment in the second area in the original action execution order as the action execution order that needs to be adjusted; and determining the action execution time related to the audio equipment and lighting equipment in the first area in the original action execution time as the action execution time that needs to be delayed.

[0012] Optionally, the intelligent soundscape mixing method of the sound-intelligence membrane also includes: during the operation of the audio equipment and the lighting equipment, obtaining environmental data and a heat map of the audience position, the environmental data including: noise decibels, light intensity, crowd density, pressure and temperature inside the air-inflated venue; adjusting the original equipment control parameters according to the environmental data and the audience position heat map, and re-controlling the audio equipment and the lighting equipment according to the adjusted equipment control parameters.

[0013] Optionally, the original device control parameters are adjusted according to the environmental data and the audience position heat map, and the audio equipment and the lighting equipment are re-controlled according to the adjusted device control parameters, including: inputting the original device control parameters, the environmental data and the audience position heat map into the AI ​​intelligent body to obtain the fitness output by the AI ​​intelligent body; inputting the fitness and control parameter adjustment requirements into the AI ​​intelligent body to obtain the recommended device control parameters output by the AI ​​intelligent body, wherein the control parameter adjustment requirements include: audio frequency band balance requirements, sound field distribution requirements and lighting color temperature requirements; iteratively adjusting the original device control parameters according to the recommended device control parameters, and re-controlling the audio equipment and the lighting equipment according to the device control parameters after each iterative adjustment.

[0014] Optionally, the intelligent soundscape mixing method of the Sound Intelligence Membrane also includes: obtaining real-time internal pressure of the air dome venue and internal pressure change information of the air dome venue; determining whether there is internal pressure fluctuation in the air dome venue based on the real-time internal pressure of the air dome venue and the internal pressure change information of the air dome venue; and performing sound pressure reduction processing on the low-frequency audio signal of the audio equipment.

[0015] In a second aspect, the present application provides a sound-intelligence membrane intelligent soundscape mixing system, comprising: audio equipment and lighting equipment distributed in an air-inflated stadium; a cloud, connected to the audio equipment and the lighting equipment respectively, and configured to execute the sound-intelligence membrane intelligent soundscape mixing method as described in the first aspect of the present application.

[0016] The above technical solution automatically adjusts the execution sequence and timing of device actions based on the air-inflated venue's usage mode, achieving dynamic adaptation to scenario requirements. By configuring the original link through a graphical interface and combining it with automated adjustment strategies, the need for professional personnel to adjust device timing is reduced, lowering manual debugging costs. By using a pattern-constrained adjustment strategy, device conflicts or security risks caused by over-optimization are avoided, improving robustness. Thus, through pattern-driven dynamic optimization of device action links, this technical solution achieves automated, secure, and personalized control in air-inflated venue scenarios while ensuring basic mixing functionality.

[0017] Other features and advantages of the present application will be described in detail in the subsequent detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The accompanying drawings are used to provide a further understanding of the present application and constitute a part of the specification. Together with the following detailed description, they are used to explain the present application but do not constitute a limitation of the present application. In the accompanying drawings:

[0019] Figure 1 This is a block diagram of a sound-intelligence membrane intelligent soundscape mixing system according to an exemplary embodiment.

[0020] Figure 2 This is a flowchart of a method for intelligent soundscape mixing using a sound-intelligence membrane according to an exemplary embodiment.

[0021] Figure 3 It is a schematic diagram of a time axis according to an exemplary embodiment.

[0022] Figure 4 It is a schematic diagram of a graphical interface according to an exemplary embodiment.

[0023] Figure 5 This is a block diagram of a sound-intelligence membrane intelligent soundscape mixing device according to an exemplary embodiment.

[0024] Figure 6 It is a block diagram of an electronic device according to an exemplary embodiment. DETAILED DESCRIPTION

[0025] The following describes the specific embodiments of the present application in detail with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are only used to illustrate and explain the present application and are not intended to limit the present application.

[0026] An air dome is an inflatable structure made of high-strength, flexible membrane material supported by air pressure. Its key feature is a continuous air supply system that maintains a pressure differential between inside and outside, allowing the membrane to expand and form, thus creating large spans without the need for traditional beams and columns.

[0027] Air-inflated stadiums can be used in a variety of scenarios. In some scenarios, audio equipment and lighting equipment may be involved. It is necessary to control the audio equipment and lighting equipment accordingly in combination with the characteristics of the air-inflated stadium to ensure the application effect of the air-inflated stadium.

[0028] For example, air dome venues can be used in scenarios such as sports events, concerts, exhibitions, and conferences. Moreover, these scenarios all involve the control of audio and lighting equipment.

[0029] Currently, there is a lack of relevant control solutions for the audio and lighting equipment in air-inflated stadiums, which makes the application of air-inflated stadiums correspondingly difficult.

[0030] Based on this, the embodiment of the present application provides a technical solution that automatically corrects the execution order and time of equipment actions through the use mode of the air-inflated stadium to achieve dynamic adaptation to scene requirements; configures the original link through a graphical interface, combined with the automated adjustment strategy, reduces the need for professionals to adjust the equipment timing, and reduces manual debugging costs. By using the mode constraint adjustment strategy, equipment conflicts or safety risks caused by over-optimization are avoided, and robustness is improved. Therefore, this technical solution achieves automated, safe, and personalized control in the air-inflated stadium scenario while ensuring basic mixing functions through the dynamic optimization of the equipment action link driven by the mode.

[0031] Figure 1 is a block diagram of a sound-intelligence membrane intelligent soundscape mixing system according to an exemplary embodiment. Figure 1 As shown, the system includes: cloud, audio equipment and lighting equipment.

[0032] Among them, the number of audio equipment can be multiple, the number of lighting equipment can be multiple, and the number of cloud devices can be one.

[0033] In some embodiments, the cloud is connected to the audio equipment and the lighting equipment respectively, and the communication connection can be achieved through the Internet of Things, a local area network, etc.

[0034] In some embodiments, the audio equipment and the lighting equipment are arranged at corresponding positions of the air-inflated stadium. The corresponding positions may vary according to different application modes of the air-inflated stadium and are not limited here.

[0035] In some embodiments, some sensor devices can also be set up in the air-inflated venue. These sensor devices can collect environmental data. The sensor devices can be connected to the cloud, for example, through the Internet of Things, local area network, etc. to achieve communication connection, and then the cloud can obtain the cloud data collected by the sensor devices.

[0036] In some embodiments, the cloud may include a front end and a back end, where the front end is used to implement visual interaction with users and the back end is used for data processing.

[0037] Figure 2 This is a flow chart of a method for intelligent soundscape mixing of a sound intelligent membrane according to an exemplary embodiment. The method can be applied to the cloud, such as Figure 2 As shown, the method includes the following steps:

[0038] Step S21: obtaining the original device action execution link and the air-inflated stadium usage mode configured through the graphical interface. The original device action execution link includes the original action execution sequence and original action execution time of the audio equipment and lighting equipment in the air-inflated stadium.

[0039] Step S22: obtaining original equipment control parameters according to the usage mode of the air-inflated stadium.

[0040] Step S23, adjusting the original device action execution link at least according to the usage mode to obtain the target device action execution link, wherein the usage mode is at least used to determine the adjustment strategy of the delay of the original action execution time and / or the original action execution order in the original device action execution link.

[0041] Step S24: executing the link according to the original device control parameters and the target device action to control the audio device and the lighting device.

[0042] In step S21 , the original action execution order may be represented by an action execution sequence composed of identifiers of audio equipment and lighting equipment.

[0043] As an example, the original action execution order can be expressed as: [101~105, 106, 107], [201~205, 206, 207], [301~305, 306, 307], [401~405, 406, 407], where 101~105, 201~205, 301~305 and 401~405 represent the lighting equipment in four different areas of the air-inflated stadium, and 106, 107, 206, 207, 306, 307, 406, 407 represent the audio equipment in four different areas of the air-inflated stadium.

[0044] In step S21, the original action execution time can be represented in the form of a time axis. Based on the original action execution order, the specific execution time needs to be added. Therefore, the execution time can be configured for the audio equipment and the lighting equipment according to the original action execution order.

[0045] It should be noted that the action execution time is relative time, not absolute time. The relative time is based on the same benchmark and can be pre-configured.

[0046] Figure 3 is a schematic diagram showing a time axis according to an exemplary embodiment. Figure 3As shown, on the time axis, there is set a reference time t0. Based on the reference time t0, the action execution time of [101~105, 106, 107] is t1, the action execution time of [201~205, 206, 207] is t2, the action execution time of [301~305, 306, 307] is t3, and the action execution time of [401~405, 406, 407] is t4.

[0047] In the embodiment of the present application, the time control may be millisecond-level time control.

[0048] In some embodiments, the original device action execution link may include action execution links corresponding to different device actions, for example, including: an action execution link corresponding to a device startup action; an action execution link corresponding to a device control parameter adjustment action; an action execution link corresponding to a device shutdown action, etc.

[0049] As an optional implementation, step S21 includes: displaying a graphical interface, the graphical interface including: an audio equipment distribution map, a lighting equipment distribution map and a mixed distribution map, the audio equipment distribution map including the audio equipment distribution in the air-inflated venue and an audio equipment information viewing option, the lighting equipment distribution map including the lighting equipment distribution in the air-inflated venue and a lighting equipment information viewing option, the mixed distribution map including the key audio equipment distribution in the air-inflated venue, the key lighting equipment distribution in the air-inflated venue and an air-inflated venue usage mode configuration option; in response to the configuration operation on the graphical interface, determining the original device action execution link and the air-inflated venue usage mode, wherein the configuration operation includes at least one of the following operations: connection operation on audio equipment in the audio equipment distribution, connection operation on lighting equipment in the lighting equipment distribution, connection operation on key audio equipment in the key audio equipment distribution and key lighting equipment in the key lighting equipment distribution, and configuration operation on the air-inflated venue usage mode configuration option.

[0050] In some embodiments, the graphical interface may further include options for expanding or closing three types of distribution graphs. By using the expand option, the corresponding distribution graph may be viewed and configured; by using the close option, the corresponding distribution graph may be closed for easier configuration.

[0051] In some embodiments, the audio equipment distribution map can display the distribution of audio equipment in the air-inflated venue, the lighting equipment distribution map can display the distribution of lighting equipment in the air-inflated venue, and the mixed distribution map can display the distribution of key audio equipment in the air-inflated venue and the distribution of key lighting equipment in the air-inflated venue.

[0052] Regarding key audio equipment, it can be audio equipment located in specific areas, such as the central area and the four corner areas; regarding key lighting equipment, it can be lighting equipment located in specific areas, or lighting equipment with specific functions, such as lighting equipment with strong lighting function, lighting equipment with auxiliary lighting function, etc.

[0053] In some embodiments, a corresponding device information viewing option can be configured in each distribution map. This device information viewing option can be embedded in the device distribution map, so that when viewing the device distribution, the device information can be viewed simultaneously. For example, each device information viewing option can be embedded in the device distribution map in the form of a control, and the corresponding device information can be triggered by triggering the control.

[0054] In some embodiments, the user can configure the action execution order and action execution time by connecting the audio devices in the audio device distribution and connecting the lighting devices in the lighting device distribution.

[0055] Note that the action execution time configured here is the time when a specific audio device or lighting device is selected during the connection operation. Backend processing needs to convert this time into relative time based on the interval between the time when the user starts the connection operation to obtain the action execution time in the original device action execution link.

[0056] It can be understood that this configuration method through connecting operations can not only configure the order, but also generate the corresponding relative execution time according to the user's relative operation time, reducing the difficulty of configuration and the difficulty of obtaining the original action execution link.

[0057] In some embodiments, the connection operations for key audio devices and key lighting devices can be used to determine the execution order and execution time of the key audio devices and key lighting devices. The execution order and execution time of the key audio devices and key lighting devices can be used to correct the original device action execution chain derived from the connection operations for audio devices in the audio device distribution and the connection operations for lighting devices in the lighting device distribution. For example, the execution order and execution time of the key audio devices and key lighting devices in the original device action execution chain are compared with the execution order and execution time determined based on the connection operations for the key audio devices and key lighting devices. If they are consistent, no correction is required. If they are inconsistent, the execution order and execution time of the key audio devices and key lighting devices shall prevail based on the execution order and execution time determined based on the connection operations for the key audio devices and key lighting devices.

[0058] It can be understood that in addition to the above operations, the configuration operation of the usage mode configuration option of the air-inflated stadium can also be included. Through this configuration operation, the corresponding usage mode can be selected.

[0059] Regarding the usage modes of air-inflated venues, they may include: concert mode, exhibition mode, conference mode, speed skating competition mode, etc.

[0060] Figure 4 is a schematic diagram showing a graphical interface according to an exemplary embodiment, such as Figure 4 The graphical interface currently displays a map of audio and lighting equipment, both of which offer options for viewing device information. The interface also displays some auxiliary operation controls that can be used to assist in performing corresponding operations. Furthermore, the interface also includes an option to configure the air dome venue's usage mode.

[0061] It is understood that in addition to this graphical interface implementation, other optional implementations can also be adopted. For example, in the graphical interface, the audio equipment and lighting equipment to be configured can be directly arranged and displayed. For the configuration of the action execution order, the user can directly configure the action execution order by labeling, etc., and the action execution time can be directly configured by selecting the action execution time, etc., which are not limited here.

[0062] In some embodiments, when there are multiple execution actions that need to be configured, the user needs to configure them separately and save the corresponding configurations.

[0063] Furthermore, in step S22, original equipment control parameters are obtained according to the air-inflated stadium usage mode configured by the user.

[0064] As an optional implementation, step S22 includes: obtaining device control parameters in a pre-configured basic usage mode; obtaining a device control parameter coefficient in a pre-configured non-basic usage mode, the device control parameter coefficient being a coefficient compared to the device control parameter in the basic usage mode, wherein the device control parameter coefficient is updated by the actual device control parameter in the non-basic usage mode; when the air-inflated venue usage mode belongs to the basic usage mode, determining the device control parameters in the air-inflated venue usage mode as the original device control parameters; when the air-inflated venue usage mode belongs to the non-basic usage mode, determining the original device control parameters based on the device control parameter coefficient in the air-inflated venue usage mode and the device control parameters in the basic usage mode.

[0065] In air-inflated venues, due to their unique structure, the parameters of audio and lighting equipment must be adapted to the structure. Therefore, extensive field testing is required in the early stages to configure device control parameters that are compatible with air-inflated venues under different usage modes. These device control parameters can then be adaptively adjusted and optimized during later applications, for example, by fine-tuning and optimizing them based on the actual environment. Therefore, pre-configured device control parameters can be used to determine the original device control parameters for the current usage mode.

[0066] In some embodiments, the basic usage mode may not involve the use effects of sound mixing and light mixing, such as: conference usage mode, exhibition usage mode, etc.

[0067] In some embodiments, the non-basic usage mode may involve the effects of mixing sound and mixing lights, such as a concert usage mode, a speed skating competition mode, etc.

[0068] For the basic usage mode, device control parameters can be pre-configured. For the non-basic usage mode, coefficients of the device control parameters compared to the basic usage mode can be pre-configured and updated using the actual device control parameters in the non-basic usage mode.

[0069] It is understandable that since the non-basic usage mode has the effects of mixing sound and mixing lights, and in actual application scenarios, the scenarios are more complex, the device control parameter configuration can be implemented in the form of configuration coefficients, and in subsequent updates, the coefficients are also updated to reduce the difficulty of configuring and optimizing the device control parameters.

[0070] Furthermore, in the case that the air-inflated stadium usage mode belongs to the basic usage mode, the device control parameters in the pre-configured air-inflated stadium usage mode can be directly determined as the original device control parameters.

[0071] When the use mode of the air-inflated venue belongs to a non-basic use mode, it is necessary to determine the original equipment control parameters based on the equipment control parameter coefficients in the air-inflated venue use mode and the equipment control parameters in the basic use mode.

[0072] In some embodiments, the product of the device control parameter coefficient in the air-inflated stadium use mode and the device control parameter in the basic use mode can be used as the original device control parameter.

[0073] In some embodiments, the control parameters of the audio equipment may include: volume, audio channel, etc.; the control parameters of the lighting equipment may include: light brightness, light color, etc.

[0074] In some embodiments, the device control parameter coefficient is updated by the actual device control parameter in the non-basic usage mode, wherein the actual device control parameter can be understood as the historical device control parameter.

[0075] As an optional implementation, the update process includes: obtaining actual device control parameters in a non-basic usage mode; obtaining original device control parameters in the non-basic usage mode; determining the difference between the actual device control parameters in the non-basic usage mode and the original device control parameters; when the difference is lower than a preset difference, determining the ratio between the actual device control parameters in the non-basic usage mode and the device control parameters in the basic usage mode; updating the device control parameter coefficient in the non-basic usage mode according to the ratio; when the difference is higher than the preset difference, updating the device control parameter coefficient in the non-basic usage mode according to the preset difference.

[0076] This updating method can be applied to updating the device control parameter coefficients of a device, that is, audio equipment and lighting equipment can be updated according to this implementation method respectively.

[0077] In some embodiments, the preset difference may be a permissible difference configured by the system, which is a permissible deviation value estimated during preliminary configuration based on on-site usage. For example, for volume, the difference cannot be greater than 100 decibels.

[0078] In some embodiments, updating the device control parameter coefficient in the non-basic usage mode according to the ratio may include: updating the device control parameter coefficient in the non-basic usage mode to the ratio.

[0079] In some embodiments, updating the device control parameter coefficient in the non-basic usage mode according to the preset difference may include: adding the preset difference to the pre-configured device control parameter in the non-basic usage mode to obtain a new device control parameter, and updating the ratio between the new device control parameter and the device control parameter in the basic usage mode to the device control parameter coefficient in the non-basic usage mode.

[0080] Through this implementation, it is possible to learn common scenario patterns based on historical data and optimize device control strategies to improve user experience.

[0081] In step S23, the original device action execution link is adjusted based on at least the usage pattern.

[0082] As an optional implementation, step S23 includes: determining the acoustic reflection characteristics corresponding to multiple areas of the air-inflated venue at least based on the usage mode of the air-inflated venue; determining the adjustment strategy of the original device action execution link based on the acoustic reflection characteristics, the adjustment strategy including: the action execution sequence that needs to be adjusted in the original action execution sequence and / or the action execution time that needs to be delayed in the original action execution time; inputting the original device action execution link and the adjustment strategy into the AI ​​intelligent agent to obtain the target device action execution link output by the AI ​​intelligent agent.

[0083] In this embodiment, the original device action execution link can be adaptively adjusted based on the acoustic reflection characteristics. Furthermore, the adaptive adjustment can be achieved through an AI agent.

[0084] In some embodiments, the AI ​​agent can adopt mature AI agents in this field, such as deepseek, KIM, etc. By relying on these technologies, the technical solutions of the embodiments of the present application can be implemented.

[0085] Furthermore, the calculation steps and formulas of the AI ​​agent are not described in detail in the embodiments of this application. In the embodiments of this application, it is only necessary to adaptively configure the training data of the AI ​​agent according to the scenario of the embodiments of this application to achieve the corresponding operation.

[0086] For example, in an embodiment of the present application, an AI agent can automatically adjust the original device action execution link based on the original device action execution link and the adjustment policy. Therefore, during the preliminary training of the AI ​​agent, training data of the original device action execution link, the adjustment policy, and the adjusted device action execution link can be configured to train the AI ​​agent so that the AI ​​agent can learn how to make adjustments based on the existing adjustment policy. Thus, the AI ​​agent can automatically make adjustments based on the original device action execution link and the adjustment policy to output the target device action execution link.

[0087] In some embodiments, acoustic reflection characteristics corresponding to multiple areas of the air-inflated venue are determined at least according to the usage mode of the air-inflated venue, including: displaying a pre-established three-dimensional model of the air-inflated venue and model setting options, the model setting options including: usage mode adjustment options, environment setting options related to acoustic reflection, and acoustic reflection feature simulation options; in response to the operation of the usage mode adjustment option, the simulated usage mode of the three-dimensional model of the air-inflated venue is adjusted to the air-inflated venue usage mode; in response to the operation of the environment setting option, the simulated environment of multiple areas of the three-dimensional model of the air-inflated venue is adjusted to the target environment; in response to the operation of the acoustic reflection feature simulation option, acoustic reflection simulation is performed on the three-dimensional model device of the air-inflated venue to obtain acoustic reflection characteristics corresponding to multiple areas of the air-inflated venue, wherein the acoustic reflection characteristics include: acoustic reflection intensity and acoustic reflection path.

[0088] In this embodiment, three-dimensional modeling is used to simulate acoustic reflections and further determine acoustic reflection characteristics.

[0089] Among them, the three-dimensional model of the air-inflated stadium is pre-established. When performing simulation, you only need to configure the usage mode, environment and acoustic reflection characteristics that need to be simulated to drive the three-dimensional model of the air-inflated stadium to simulate the acoustic reflection characteristics.

[0090] In some embodiments, the acoustic reflection characteristics include: acoustic reflection intensity and acoustic reflection path.

[0091] In some embodiments, three-dimensional modeling can be implemented through BIM (Building Information Modeling) related software, etc., which is not limited here.

[0092] In some embodiments, the simulation of acoustic reflection characteristics can be achieved through digital twin technology, and reference can be made to mature technologies in the field, which will not be introduced in detail here.

[0093] In some embodiments, the environmental setting option can be used to set: the flow of people in the air dome venue, the distribution area of ​​people, noise, lighting, internal pressure and temperature, etc.

[0094] In some embodiments, an adjustment strategy is determined based on the acoustic reflection characteristics, including: determining, from multiple areas, a first area where the acoustic reflection intensity is higher than a preset reflection intensity; determining, from multiple areas, a second area where the number of areas passed by the acoustic reflection path is higher than a preset number; determining the action execution order related to the audio equipment and lighting equipment in the second area in the original action execution order as the action execution order that needs to be adjusted; and determining the action execution time related to the audio equipment and lighting equipment in the first area in the original action execution time as the action execution time that needs to be delayed.

[0095] In this embodiment, the preset reflection intensity may be a reflection intensity that may affect the sound mixing effect, and may be determined based on actual measurements.

[0096] In some embodiments, the preset number may be determined based on the total number of the multiple regions, for example, one-fifth of the number of the multiple regions.

[0097] It is understandable that since the audio equipment and the lighting equipment may have a linkage effect, when making adjustments, the audio equipment and the lighting equipment can be adjusted together.

[0098] It's understandable that excessive acoustic reflection intensity can affect the sound mixing effect. This can be mitigated by adjusting the time delay. For example, if the original sound mixing required audio equipment one and two, but the acoustic reflection intensity in the area where audio equipment one is located is too high, the action execution time of audio equipment one can be delayed to bring it closer to that of audio equipment two, thus preventing the audio mixing effect from failing to be achieved with audio equipment two.

[0099] Furthermore, if the acoustic reflection path passes through a large number of areas, this may also affect the sound mixing effect. This can be avoided by adjusting the execution order. For example, the original sound mixing requires the use of audio devices 1 and 2, but because the acoustic reflection path in the area where audio device 1 is located affects other areas, the execution order of the actions of audio devices 1 and 2 can be slightly further away from the execution order of the actions of the devices in the affected areas to avoid mutual interference.

[0100] Furthermore, in step S24, the link is executed according to the original device control parameters and the target device action to control the audio device and the lighting device.

[0101] It can be understood that, based on the fact that the original action execution sequence, original action execution time and original device control parameters have been determined, it is only necessary to generate corresponding control instructions and then send them to the audio equipment and lighting equipment to achieve corresponding control.

[0102] In some embodiments, the intelligent soundscape mixing method of the sound-intelligence membrane also includes: obtaining environmental data and audience position heat maps during the operation of the audio equipment and lighting equipment, the environmental data including: noise decibels, light intensity, crowd density, pressure and temperature inside the air-inflated venue; adjusting the original equipment control parameters according to the environmental data and the audience position heat maps, and re-controlling the audio equipment and lighting equipment according to the adjusted equipment control parameters.

[0103] In this embodiment, the original device control parameters are adjusted according to the real environmental data.

[0104] In some embodiments, the original device control parameters are adjusted according to the environmental data and the audience position heat map, and the audio equipment and lighting equipment are re-controlled according to the adjusted device control parameters, including: inputting the original device control parameters, environmental data and the audience position heat map into the AI ​​intelligent body to obtain the fitness output by the AI ​​intelligent body; inputting the fitness and control parameter adjustment requirements into the AI ​​intelligent body to obtain the recommended device control parameters output by the AI ​​intelligent body, wherein the control parameter adjustment requirements include: audio frequency band balance requirements, sound field distribution requirements and lighting color temperature requirements; iteratively adjusting the original device control parameters according to the recommended device control parameters, and re-controlling the audio equipment and lighting equipment according to the device control parameters after each iterative adjustment.

[0105] In this embodiment, an AI agent is applied to improve control efficiency. The AI ​​agent can utilize mature AI agent technology in the field. Its training data can include: original device control parameters, environmental data, audience location heat maps, and fitness information. By inputting this data into the AI ​​agent for training, the AI ​​agent can be equipped with fitness analysis capabilities.

[0106] In some embodiments, the degree of fit represents the degree of match between the original device control parameters and the environmental data and viewer location heatmap.

[0107] In some embodiments, the control parameter adjustment requirements can be pre-configured, which may involve audio frequency band balancing requirements, sound field distribution requirements, and lighting color temperature requirements, or may involve more requirements, which are not limited here.

[0108] In some embodiments, the AI ​​agent has deep thinking capabilities. Based on the ability to determine the degree of adaptability, it can also use the degree of adaptability and control parameter adjustment requirements to directly adjust the original device control parameters.

[0109] In some embodiments, the control parameter adjustment function can also be used to train the AI ​​agent's capabilities through a large amount of training data. The training data involved here may include: device control parameters before adjustment, adaptability, control parameter adjustment requirements, and device control parameters after adjustment.

[0110] In some embodiments, iteratively adjusting the original device control parameters can be understood as gradually adjusting the original device control parameters to the recommended device control parameters through iterative adjustment. Accordingly, during control, control also needs to be performed based on the device control parameters adjusted each time.

[0111] This adjustment and control method allows for gradual adjustments that minimize the impact on the current mix.

[0112] In some embodiments, the intelligent soundscape mixing method of the sound intelligent membrane may also include: obtaining real-time internal pressure of the air dome venue and internal pressure change information of the air dome venue; determining whether there is internal pressure fluctuation in the air dome venue based on the real-time internal pressure of the air dome venue and internal pressure change information of the air dome venue; and performing sound pressure reduction processing on the low-frequency audio signal of the audio equipment.

[0113] In this embodiment, in order to protect the air-inflated stadium, it is necessary to perform sound pressure reduction processing on the low-frequency audio signal of the audio equipment in combination with the internal pressure conditions to ensure the safety and stability of the air-inflated stadium.

[0114] In some embodiments, when the real-time internal pressure of the air dome stadium is within a relatively high internal pressure range and the internal pressure change information of the air dome stadium indicates a relatively high degree of internal pressure change and a relatively fast internal pressure change speed, it is determined that the air dome stadium has internal pressure fluctuations.

[0115] In some embodiments, in addition to performing sound pressure reduction processing on the low-frequency audio signals of the audio equipment, the internal pressure can also be reduced by lowering the brightness of the lights, reducing the decibels of noise, alleviating the density of people, and dissipating heat.

[0116] Figure 5 1 is a block diagram of a sound-intelligence membrane intelligent soundscape mixing device 500 according to an exemplary embodiment, the device including:

[0117] The acquisition module 501 is configured to: acquire the original device action execution link and the air-inflated stadium usage mode configured through the graphical interface, wherein the original device action execution link includes the original action execution sequence and original action execution time of the audio equipment and lighting equipment in the air-inflated stadium.

[0118] The acquisition module 501 is further configured to: acquire original equipment control parameters according to the usage mode of the air-inflated stadium.

[0119] The adjustment module 502 is configured to adjust the original device action execution link at least according to the usage mode to obtain the target device action execution link, wherein the usage mode is at least used to determine the adjustment strategy of the delay of the original action execution time and / or the original action execution order in the original device action execution link.

[0120] The control module 503 is configured to control the audio device and the lighting device according to the original device control parameters and the target device action execution link.

[0121] Regarding the apparatus in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

[0122] Figure 6 FIG. 6 is a block diagram of an electronic device 600 according to an exemplary embodiment. Figure 6 As shown, the electronic device 600 may include: a processor 601 , a memory 602 , and may further include one or more of a multimedia component 603 , an input / output (I / O) interface 604 , and a communication component 605 .

[0123] The processor 601 is used to control the overall operation of the electronic device 600 to complete all or part of the steps in the above-mentioned intelligent soundscape mixing method of the Sound Intelligence Film. The memory 602 is used to store various types of data to support the operation of the electronic device 600. This data may include, for example, instructions for any application or method operating on the electronic device 600, as well as application-related data such as contact information, sent and received messages, images, audio, video, etc. The memory 602 can be implemented by any type of volatile or non-volatile storage device, or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk. The multimedia component 603 may include a screen and an audio component. The screen may be, for example, a touch screen, and the audio component is used to output and / or input audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signal may be further stored in the memory 602 or transmitted via the communication component 605. The audio component also includes at least one speaker for outputting audio signals. The I / O interface 604 provides an interface between the processor 601 and other interface modules. The above-mentioned other interface modules may be a keyboard, a mouse, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 605 is used for wired or wireless communication between the electronic device 600 and other devices. Wireless communication, such as Wi-Fi, Bluetooth, Near Field Communication (NFC), 2G, 3G or 4G, or a combination of one or more thereof, so the corresponding communication component 605 may include: a Wi-Fi module, a Bluetooth module, an NFC module.

[0124] In an exemplary embodiment, the electronic device 600 can be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components to execute the above-mentioned sound-intelligent membrane intelligent soundscape mixing method.

[0125] In another exemplary embodiment, a computer-readable storage medium including program instructions is also provided. When executed by a processor, the program instructions implement the steps of the aforementioned intelligent soundscape mixing method for the Sound Intelligence Membrane. For example, the computer-readable storage medium may be the aforementioned memory 602 including the program instructions. The program instructions may be executed by the processor 601 of the electronic device 600 to implement the aforementioned intelligent soundscape mixing method for the Sound Intelligence Membrane.

[0126] In another exemplary embodiment, a computer program product is also provided, which includes a computer program that can be executed by a processor, and when the computer program is executed by the processor, the steps of the above-mentioned sound intelligent membrane intelligent soundscape mixing method are implemented.

[0127] The preferred embodiments of the present application are described in detail above in conjunction with the accompanying drawings. However, the present application is not limited to the specific details in the above embodiments. Within the technical concept of the present application, various simple modifications can be made to the technical solution of the present application, and these simple modifications all fall within the scope of protection of the present application.

[0128] It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any appropriate manner unless there is any contradiction. In order to avoid unnecessary repetition, this application will not further describe various possible combinations.

[0129] In addition, the various implementation methods of the present application may be arbitrarily combined, and as long as they do not violate the concept of the present application, they should also be regarded as the contents disclosed in the present application.

Claims

1. A sound-intelligence membrane intelligent soundscape mixing method, characterized in that: include: Obtaining the original device action execution link and the air-inflated stadium usage mode configured through the graphical interface, wherein the original device action execution link includes the original action execution sequence and original action execution time of the audio equipment and lighting equipment in the air-inflated stadium; According to the usage mode of the air dome venue, original equipment control parameters are obtained; Adjusting the original device action execution link at least according to the usage pattern to obtain a target device action execution link, wherein the usage pattern is used to at least determine an adjustment strategy for delaying the original action execution time and / or the original action execution order in the original device action execution link; Controlling the audio device and the lighting device according to the original device control parameters and the target device action execution link; The adjusting the original device action execution link at least according to the usage mode of the air-inflated stadium to obtain the target device action execution link includes: Determining acoustic reflection characteristics corresponding to a plurality of areas of the air-inflated stadium at least according to a usage mode of the air-inflated stadium; Determining, based on the acoustic reflection characteristics, an adjustment strategy for the original device action execution link, the adjustment strategy including: an action execution sequence that needs to be adjusted in the original action execution sequence and / or an action execution time that needs to be delayed in the original action execution time; Inputting the original device action execution link and the adjustment strategy into the AI ​​agent to obtain the target device action execution link output by the AI ​​agent; The determining, at least according to the usage mode of the air-inflated stadium, acoustic reflection characteristics corresponding to the plurality of areas of the air-inflated stadium respectively includes: Displaying a pre-built three-dimensional model of an air dome venue and model setting options, wherein the model setting options include: usage mode adjustment options, environment setting options related to acoustic reflection, and acoustic reflection feature simulation options; In response to an operation on a usage mode adjustment option, adjusting the simulated usage mode of the air-domed stadium three-dimensional model to the air-domed stadium usage mode; In response to an operation on an environment setting option, adjusting the simulated environment of multiple areas of the three-dimensional model of the air-inflated stadium to a target environment; In response to the operation of the acoustic reflection feature simulation option, acoustic reflection simulation is performed on the three-dimensional model device of the air-inflated stadium to obtain acoustic reflection features corresponding to multiple areas of the air-inflated stadium, wherein the acoustic reflection features include: acoustic reflection intensity and acoustic reflection path.

2. The intelligent soundscape mixing method of the sound intelligence film according to claim 1 is characterized in that: The obtaining of the original device action execution link and the air dome venue usage mode configured through the graphical interface includes: Displaying a graphical interface, the graphical interface including: an audio equipment distribution map, a lighting equipment distribution map, and a mixed distribution map. The audio equipment distribution map includes the distribution of audio equipment in the air-domed venue and an option to view audio equipment information. The lighting equipment distribution map includes the distribution of lighting equipment in the air-domed venue and an option to view lighting equipment information. The mixed distribution map includes the distribution of key audio equipment in the air-domed venue, the distribution of key lighting equipment in the air-domed venue, and an option to configure the air-domed venue usage mode. In response to the configuration operation on the graphical interface, the original device action execution link and the air-inflated stadium usage mode are determined, wherein the configuration operation includes at least one of the following operations: the connection operation of the audio equipment in the audio equipment distribution, the connection operation of the lighting equipment in the lighting equipment distribution, the connection operation of the key audio equipment in the key audio equipment distribution and the key lighting equipment in the key lighting equipment distribution, and the configuration operation of the air-inflated stadium usage mode configuration option.

3. The intelligent soundscape mixing method of the sound intelligence film according to claim 1 is characterized in that: The obtaining of original equipment control parameters according to the usage mode of the air dome venue includes: Get the device control parameters in the pre-configured basic usage mode; Obtaining a pre-configured device control parameter coefficient for a non-basic usage mode, where the device control parameter coefficient is a coefficient compared to the device control parameter in the basic usage mode, wherein the device control parameter coefficient is updated using the actual device control parameter in the non-basic usage mode; In a case where the air-inflated stadium usage mode belongs to the basic usage mode, determining the device control parameters in the air-inflated stadium usage mode as the original device control parameters; In a case where the air-inflated stadium usage mode belongs to the non-basic usage mode, the original device control parameters are determined according to the device control parameter coefficients in the air-inflated stadium usage mode and the device control parameters in the basic usage mode.

4. The intelligent soundscape mixing method of the sound intelligence membrane according to claim 3 is characterized in that: The method further comprises: Obtaining actual device control parameters in the non-basic usage mode; Obtaining original device control parameters in the non-basic usage mode; determining a difference between an actual device control parameter and an original device control parameter in the non-basic usage mode; When the difference is lower than a preset difference, determining a ratio between the actual device control parameter in the non-basic usage mode and the device control parameter in the basic usage mode; and updating the device control parameter coefficient in the non-basic usage mode according to the ratio; When the difference is higher than a preset difference, the device control parameter coefficient in the non-basic usage mode is updated according to the preset difference.

5. The intelligent soundscape mixing method of the sound intelligence film according to claim 1 is characterized in that: The step of determining the adjustment strategy based on the acoustic reflection characteristics includes: Determining, from the plurality of regions, a first region having an acoustic reflection intensity higher than a preset reflection intensity; Determining, from the plurality of regions, a second region where the number of regions passed by the acoustic reflection path is greater than a preset number; determining the action execution sequence related to the audio equipment and the lighting equipment in the second area in the original action execution sequence as the action execution sequence that needs to be adjusted; The action execution time related to the audio equipment and the lighting equipment in the first area in the original action execution time is determined as the action execution time that needs to be delayed.

6. The intelligent soundscape mixing method of the sound intelligent membrane according to any one of claims 1 to 5, characterized in that: The intelligent soundscape mixing method of the sound intelligence membrane also includes: During the operation of the audio equipment and the lighting equipment, environmental data and a heat map of the audience position are obtained, wherein the environmental data includes: noise decibels, light intensity, crowd density, pressure and temperature inside the air dome venue; The original device control parameters are adjusted according to the environmental data and the audience position heat map, and the audio equipment and the lighting equipment are re-controlled according to the adjusted device control parameters.

7. The intelligent soundscape mixing method of the sound intelligence membrane according to claim 6, characterized in that: The adjusting the original device control parameters according to the environmental data and the audience position heat map, and re-controlling the audio equipment and the lighting equipment according to the adjusted device control parameters, includes: Inputting the original device control parameters, the environmental data, and the audience position heat map into an AI agent to obtain the fitness output by the AI ​​agent; Inputting the adaptability and control parameter adjustment requirements into the AI ​​agent to obtain the recommended device control parameters output by the AI ​​agent, wherein the control parameter adjustment requirements include: audio frequency band balance requirements, sound field distribution requirements, and lighting color temperature requirements; The original device control parameters are iteratively adjusted according to the recommended device control parameters, and the audio device and the lighting device are re-controlled according to the device control parameters after each iterative adjustment.

8. The intelligent soundscape mixing method of the sound intelligence membrane according to claim 1, characterized in that: The intelligent soundscape mixing method of the sound intelligence membrane also includes: Obtain real-time information on the internal pressure of the air dome venue and its changes; Determining, based on the real-time internal pressure of the air dome venue and the internal pressure change information of the air dome venue, that there is internal pressure fluctuation in the air dome venue; A sound pressure reduction process is performed on the low-frequency audio signal of the audio device.

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