Multifunctional sound amplification system

Abstract

The invention relates to the technical field of audio processing, and discloses a multifunctional sound amplification system which comprises an audio acquisition module, a DSP central processing module, a power amplification and control module, a sound amplification sound module and a transmission module. According to the application, the audio acquisition module is utilized to provide a data basis for the DSP central processing module, and processing of various types of audio data is realized; an environment analysis model is configured for the DSP central processing module, so that autonomous environment analysis is realized, a resource allocation strategy is provided, and technical guarantee is provided for improving sound reinforcement quality; the digital-to-analog converter and the router are controlled through the power amplification and control module; multifunctional sound reinforcement is realized through the sound reinforcement sound equipment module; the same-channel two-way transmission of the audio data, the environment data, the audio processing demand and the resource processing demand is realized through the transmission module; therefore, the problems of complex and tedious system operation, more equipment, high failure rate, difficulty in use and operation and large daily maintenance workload are solved, and the system can be used after being simply installed on site.

Description

Technical Field

[0001] The present application relates to the technical field of audio processing, and in particular to a multifunctional sound reinforcement system. Background Art

[0002] In various conference sound reinforcement venues, good sound reinforcement effects are crucial for the accurate transmission of information and the smooth progress of meetings. However, existing conference sound reinforcement systems often have problems such as uneven sound, poor sound quality, single function, poor system compatibility, and scattered assembly of multiple combined devices, which makes system management difficult, operation complex, high failure rate, complex maintenance, and messy lines. They cannot meet the diverse and high-quality sound reinforcement needs of modern conferences.

[0003] Chinese patent number CN202410311931 discloses a spatial area synchronous sound reinforcement system, including a regional resonance module; a personnel density detection module, which is configured to calculate and judge the personnel distribution density in a preset spatial area, and intelligently adjust the activation of the speaker according to the personnel distribution; a synchronous sound reinforcement module, which relies on the detection of the personnel density detection module to intelligently adjust the efficiency parameters of the turned-on speakers according to the personnel distribution, so that the sound in the spatial area can be synchronized. However, this invention only realizes the control of the speaker according to the personnel distribution, and its applicability is poor.

[0004] In summary, the prior art urgently needs a new multifunctional sound reinforcement technical solution to achieve optimized sound reinforcement effects. Summary of the invention

[0005] The purpose of this application is to provide a multifunctional sound reinforcement system to solve the technical problems raised in the above background technology.

[0006] To achieve the above-mentioned purpose, the present application discloses the following technical solutions: a multifunctional sound reinforcement system, the system comprising: an audio acquisition module, a DSP central processing module, a power amplification and control module, a sound reinforcement module and a transmission module;

[0007] The audio acquisition module is configured to: collect audio data, environmental data and audio processing requirements, and collect resource processing requirements when there are resource processing requirements; the audio processing requirements are used to characterize the requirements for the processing unit when amplifying the audio data, and the resource processing requirements are used to characterize the requirements for resource allocation of the processing unit when amplifying; the processing unit includes at least a digital-to-analog converter and a router;

[0008] The DSP central processing module is configured to: store an environment analysis model pre-trained by machine learning, and generate a resource allocation strategy set by using the environment analysis model; wherein the environment analysis model is used to generate the resource allocation strategy set based on the audio processing requirements and the resource processing requirements, and is also used to generate the resource processing requirements based on the environment data when the audio acquisition module does not acquire the resource processing requirements;

[0009] The power amplification and control module is configured to: allocate resources of the processing unit based on the resource allocation strategy set, and adjust each of the processing units based on the audio processing requirements; the resource allocation strategy set is a strategy corresponding to the environmental data and used for sound reinforcement under the environmental data, and the resource allocation strategy set includes a computing power configuration strategy, a routing configuration strategy and an audio configuration strategy;

[0010] The sound amplification module includes a plurality of speakers, which are used to amplify the audio data;

[0011] The transmission module is configured to perform two-way communication;

[0012] The audio acquisition module, the DSP central processing module, the power amplification and control module and the sound reinforcement module all utilize the transmission module for two-way communication.

[0013] Preferably, before training the environmental analysis model, historical environmental data and corresponding historical resource processing requirements and historical resource allocation strategy sets are obtained, and the historical environmental data and corresponding historical resource processing requirements and historical resource allocation strategy sets are stored in the environmental analysis model.

[0014] Preferably, training the environment analysis model comprises the following steps:

[0015] A1: Determine whether there is a real-time resource processing demand, otherwise go to step A2;

[0016] A2: Acquire and match the historical environmental data based on the real-time environmental data, and output the historical environmental data that meets a preset environmental similarity threshold;

[0017] A3: Obtain the historical resource processing requirements corresponding to the historical environment data matched with step A2, obtain the corresponding historical resource allocation strategy set based on the historical resource processing requirements, output the historical resource allocation strategy set and define it as an adaptive resource allocation strategy set.

[0018] Preferably, training the environment analysis model further comprises the following steps:

[0019] B1: Determine whether there is a real-time resource processing requirement, if yes, execute step B2;

[0020] B2: Acquire and match the historical resource processing requirements based on the real-time resource processing requirements, and output the historical resource processing requirements that meet a preset requirement similarity threshold;

[0021] B3: Obtain the historical resource allocation strategy set corresponding to the historical resource processing demand matched with step B2, output the historical resource allocation strategy set and define it as a demand response resource allocation strategy set.

[0022] Preferably, the operation process of the DSP central processing module includes:

[0023] Receive real-time data collected by the audio collection module, where the real-time data at least includes real-time audio data, real-time environment data and real-time audio processing requirements;

[0024] Run the resource processing model to execute steps A1 to A3 or steps B1 to B3;

[0025] The obtained adaptive resource allocation strategy set or the demand response resource allocation strategy set is output to the power amplification and control module.

[0026] Preferably, the operation process of the power amplification and control module includes:

[0027] Receiving and parsing the adaptive resource allocation strategy set or the demand response resource allocation strategy set to obtain a real-time computing power configuration strategy, a real-time routing configuration strategy, and a real-time audio configuration strategy;

[0028] Based on the real-time computing power configuration strategy, the real-time routing configuration strategy and the real-time sound configuration strategy, control and generate corresponding audio control signals and processing control signals;

[0029] The processing control signal is used to control the operation of the digital-to-analog converter and the router of the processing unit;

[0030] The audio control signal is used to control the operation of the sound reinforcement module.

[0031] Preferably, the system further comprises: a feedback module, the feedback module being used to collect any one or more of the updated environment data, updated audio processing requirements and updated resource processing requirements generated after the sound reinforcement, and to package and generate feedback processing requirements;

[0032] The feedback module is communicatively connected with the DSP central processing module.

[0033] Preferably, the operation process of the DSP central processing module includes:

[0034] Accepting and analyzing the feedback processing requirements;

[0035] Run the resource processing model to execute steps A1 to A3 or steps B1 to B3;

[0036] The obtained adaptive resource allocation strategy set or the demand response resource allocation strategy set is output.

[0037] Preferably, the construction process of the transmission module includes:

[0038] The BLE superposition technology is used to establish a two-way communication connection between the audio acquisition module, the DSP central processing module, the power amplification and control module and the sound reinforcement module.

[0039] Preferably, the environmental data includes space characteristics, acoustic characteristics and equipment operation characteristics;

[0040] The spatial characteristics are used to characterize the properties of the physical space where the installation location of the sound reinforcement module affects the sound reinforcement;

[0041] The acoustic characteristics are used to characterize the acoustic properties of sound propagation and reflection at the installation location of the sound reinforcement module;

[0042] The equipment operation characteristics are used to characterize the nature of the equipment's operating state;

[0043] The audio data includes analog audio input data, microphone input data and digital audio input data.

[0044] Beneficial effects: The multifunctional sound reinforcement system of the present application uses an audio acquisition module to provide a data basis for the DSP central processing module, and realizes various types of audio data processing; by configuring an environmental analysis model for the DSP central processing module, using the environmental analysis model to generate a resource allocation strategy set, autonomous environmental analysis and provision of resource allocation strategies are realized, providing technical support for improving the quality of sound reinforcement; the control of the digital-to-analog converter and the router is realized through the power amplification and control module, providing a hardware basis for improving the quality of sound reinforcement; multifunctional sound reinforcement is realized through the sound reinforcement audio module; the two-way transmission of audio data, environmental data, audio processing requirements and resource processing requirements on the same channel is realized through the transmission module, providing a hardware basis for improving the quality of sound reinforcement; thereby overcoming the problems of complex and cumbersome system operation, multiple equipment, high failure rate, difficult operation and heavy workload of daily maintenance, and the system can be used after simple installation on site. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without paying any creative work.

[0046] Figure 1 A structural block diagram of a multifunctional sound reinforcement system provided in an embodiment of the present application;

[0047] Figure 2 Flow chart of the process of training environment analysis model provided in the embodiment of the present application Figure 1 ;

[0048] Figure 3 Flow chart of the process of training environment analysis model provided in the embodiment of the present application Figure 2 ;

[0049] Figure 4 A circuit diagram of a multifunctional sound reinforcement system provided in an embodiment of the present application. DETAILED DESCRIPTION

[0050] The technical solutions in the embodiments of the present application are described clearly and completely below. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application.

[0051] In this article, the term "comprising" is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of more restrictions, the elements defined by the sentence "comprising..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0052] This embodiment discloses Figure 1 A multifunctional sound reinforcement system is shown, which meets the sound reinforcement needs of conference rooms below 150 square meters by providing a new mini package that is easy to install, understand and use. It includes: audio acquisition module, DSP central processing module, power amplification and control module, sound reinforcement module and transmission module.

[0053] The audio acquisition module is configured to: collect audio data, environmental data and audio processing requirements, and collect the resource processing requirements when there are resource processing requirements; the audio processing requirements are used to characterize the requirements for the processing unit when amplifying audio data, and the resource processing requirements are used to characterize the requirements for resource allocation of the processing unit when amplifying; the processing unit includes at least a digital-to-analog converter and a router.

[0054] It should be noted that in a specific example of the present embodiment, the audio acquisition module is equipped with multiple high-sensitivity external microphone inputs, and a built-in fully digital IIS transmission with a signal-to-noise ratio greater than 110dB and a noise floor less than -90dB. It can collect the sound of the conference site in all directions, the speeches of the participants, the environmental background sound, and optimize the human voice excitation and environmental noise filtering technology through the DSP underlying algorithm to ensure the cleanliness, transparency and restoration of the sound. The digital algorithm is used to quickly realize the conventional functions such as the frequency shift suppression of the microphone howling on the scene, the automatic and rapid mute of the microphone falling, and the continuous tapping monitoring shutdown. The use of digital isolation signal input solves the noise problem of the industry that the conference room is equipped with a large LED screen, switching power supply equipment and electricity consumption, which causes interference to the audio signal. It effectively isolates the audio noise, makes the sound reinforcement clean, and the speaker emits no noise, solving the problem that has been plaguing the sound reinforcement system. Thereby providing an accurate data basis for the DSP central processing module.

[0055] The DSP central processing module is configured as follows: storing an environmental analysis model pre-trained using machine learning, and generating a resource allocation strategy set using the environmental analysis model; wherein the environmental analysis model is used to generate a resource allocation strategy set based on audio processing requirements and resource processing requirements, and is also used to generate resource processing requirements based on environmental data when the audio acquisition module does not acquire resource processing requirements.

[0056] It should be noted that the environmental analysis model of this embodiment is constructed and trained using existing machine learning technologies, such as a deep learning model.

[0057] The power amplification and control module is configured as follows: resource allocation of the processing unit is performed based on a resource allocation strategy set, and each processing unit is adjusted based on audio processing requirements; the resource allocation strategy set is a strategy corresponding to the environmental data and used for sound reinforcement under the environmental data, and the resource allocation strategy set includes a computing power configuration strategy, a routing configuration strategy, and an audio configuration strategy.

[0058] The sound reinforcement module includes a plurality of speakers, which are used to reinforce the audio data.

[0059] It should be noted that in a specific example of this embodiment, the sound reinforcement module is composed of multiple speakers of different types and specifications, including left and right main sound reinforcements, multiple auxiliary speakers and bass speakers, so as to achieve high-quality sound reinforcement of the system multi-channel sound reinforcement. The distribution of the speakers can be arranged according to the needs of the on-site environment, and wide-directional speakers are used for coverage of more than 160 degrees to ensure that every area of ​​the conference site can be covered without dead angles to obtain the best sound effect.

[0060] The transmission module is configured for bidirectional communication.

[0061] The audio acquisition module, DSP central processing module, power amplification and control module and sound reinforcement module all utilize the transmission module for two-way communication.

[0062] Based on the above, this embodiment uses the audio acquisition module to provide a data basis for the DSP central processing module, and realizes various types of audio data processing; by configuring the environment analysis model for the DSP central processing module, the environment analysis model is used to generate a resource allocation strategy set, to realize autonomous environment analysis and provide resource allocation strategy, and provide technical guarantee for improving the quality of sound reinforcement; through the power amplification and control module, the control of the digital-to-analog converter and the router is realized, and the hardware foundation is provided for improving the quality of sound reinforcement; through the sound reinforcement audio module, multi-functional sound reinforcement is realized; through the transmission module, the two-way transmission of audio data, environmental data, audio processing requirements and resource processing requirements on the same channel is realized, and the hardware foundation is provided for improving the quality of sound reinforcement; thereby overcoming the problems of complex and cumbersome system operation, multiple equipment, high failure rate, difficult operation and heavy daily maintenance workload, and it can be used after simple installation on site.

[0063] Specifically, before training the environmental analysis model, historical environmental data and corresponding historical resource processing requirements and historical resource allocation strategy sets are obtained, and the historical environmental data and corresponding historical resource processing requirements and historical resource allocation strategy sets are stored in the environmental analysis model.

[0064] It should be noted that the historical environmental data and the corresponding historical resource processing requirements and historical resource allocation strategy sets in this embodiment are data generated during sound reinforcement that are well known to technical personnel in this field, and are processed using existing big data technologies, thereby providing a data basis for the training of environmental analysis models.

[0065] Based on the above, this embodiment provides a data basis for autonomously generating a resource allocation strategy set by storing environmental data and corresponding resource processing requirements and resource allocation strategy sets in an environmental analysis model.

[0066] Specifically, Figure 2 As shown, the training environment analysis model includes the following steps:

[0067] A1: Determine whether there is a real-time resource processing demand, otherwise go to step A2;

[0068] A2: Acquire and match historical environmental data based on real-time environmental data, and output historical environmental data that meets the preset environmental similarity threshold;

[0069] A3: Obtain the historical resource processing requirements corresponding to the historical environment data matched with step A2, obtain the corresponding historical resource allocation strategy set based on the historical resource processing requirements, output the historical resource allocation strategy set and define it as an adaptive resource allocation strategy set.

[0070] It should be noted that in actual sound reinforcement practice, there are users who do not know how to use the resource processing demand function. Therefore, in this embodiment, a function is designed to autonomously generate resource processing demands through environmental data when there is no resource processing demand. This effectively solves the problem that the system is complex and users do not understand and is difficult to use, shortens the time to build a system, and realizes a sound reinforcement system that everyone can use.

[0071] Furthermore, this embodiment utilizes existing data similarity comparison technology to achieve matching based on real-time environmental data in historical environmental data, wherein the environmental similarity threshold is an empirical value known to those skilled in the art, exemplarily, such as 85%. When the similarity value between the real-time environmental data and the historical environmental data is greater than or equal to 85%, it is determined that the environmental similarity threshold is met.

[0072] Based on the above, this embodiment realizes autonomous generation of resource processing requirements when there is a lack of resource processing requirements through the environmental analysis model, provides a data basis for the power amplification and control module control processing unit, and reduces the complexity of the sound reinforcement operation.

[0073] Specifically, Figure 3 As shown, the training environment analysis model also includes the following steps:

[0074] B1: Determine whether there is a real-time resource processing requirement, if yes, execute step B2;

[0075] B2: Obtain and match historical resource processing requirements based on real-time resource processing requirements, and output historical resource processing requirements that meet a preset requirement similarity threshold;

[0076] B3: Obtain a historical resource allocation strategy set corresponding to the historical resource processing demand matched with step B2, output the historical resource allocation strategy set and define it as a demand response resource allocation strategy set.

[0077] It should be noted that this embodiment uses existing data similarity comparison technology to achieve matching based on real-time resource processing requirements with historical resource processing requirements, where the requirement similarity threshold is an empirical value known to those skilled in the art, an exemplary value such as 90%. When the similarity value between the real-time resource processing requirement and the historical resource processing requirement is greater than or equal to 90%, it is determined to meet the requirement similarity threshold.

[0078] Based on the above, this embodiment realizes the generation of an autonomous resource allocation strategy set through an environmental analysis model, thereby improving the intelligence level of the sound reinforcement system.

[0079] Specifically, the operation process of the DSP central processing module includes:

[0080] Receive real-time data collected by the audio collection module, where the real-time data at least includes real-time audio data, real-time environment data and real-time audio processing requirements;

[0081] Run the resource processing model and execute steps A1 to A3 or steps B1 to B3;

[0082] The obtained adaptive resource allocation strategy set or demand response resource allocation strategy set is output to the power amplification and control module.

[0083] It should be noted that when a user uses the resource processing demand function, the real-time data includes real-time audio data, real-time environmental data, real-time audio processing demand and real-time resource processing demand.

[0084] Based on the above, this embodiment realizes the autonomous generation of an adaptive resource allocation strategy set or a demand response resource allocation strategy set through the DSP central processing module, provides a data basis for the operation of the power amplification and control module, and provides a technical basis for overcoming the problems of complex and cumbersome system operation, difficult operation and heavy daily maintenance workload.

[0085] In a specific example of this embodiment, Figure 4As shown in the circuit diagram of the multifunctional sound reinforcement system, when the power is turned on, the working instructions first enter the reset initialization, and the DSP code logic enters the running distribution instructions of each section. The audio signal input channel switch is turned on for analog signal conversion, and the digital signal is sent to the DSP central processing module. The resource processing model is run, and the digital algorithm is used to optimize the audio data processing process. The transmission speed and accuracy are routed to the application layer according to the architecture function requirements. The software code can be continuously updated and upgraded to adapt to the ever-changing technical standards and user needs, and a user-friendly interface can be achieved to ensure that the display of all communication data is intuitive and easy to understand. The complex multiple devices in the past are integrated into a core control module to form a high-stability core control. The DSP central processing module simplifies the existing sound reinforcement system composed of many devices into a control unit of one device. It has front-end audio data processing and back-end audio processing routing and distribution of sound reinforcement components. The computing power can be allocated according to the size of the on-site environment data.

[0086] Specifically, the operation process of the power amplification and control module includes:

[0087] Receiving and parsing an adaptive resource allocation strategy set or a demand response resource allocation strategy set to obtain a real-time computing power configuration strategy, a real-time routing configuration strategy, and a real-time audio configuration strategy;

[0088] Based on the real-time computing power configuration strategy, the real-time routing configuration strategy and the real-time sound configuration strategy, the corresponding audio control signal and the processing control signal are generated;

[0089] Processing control signals for controlling the operation of the digital-to-analog converter and the router of the processing unit;

[0090] The audio control signal is used to control the operation of the sound reinforcement module.

[0091] It should be noted that in practical applications, this embodiment adopts multi-channel high-efficiency Class D power amplifier technology, which can provide stable sound amplification for on-site audio, ensure the loudness and dynamic range of the sound, and meet the sound reinforcement requirements. The power amplifier has functions such as high-efficiency energy conversion, low heat generation, light weight, high output power, energy saving, overvoltage protection, overheat protection, overload protection and short circuit protection, which improves the reliability and safety of the system.

[0092] Furthermore, in this embodiment, the audio data includes analog audio input data, microphone input data, and digital audio input data, so it is necessary to control the operation of the digital-to-analog converter and the router to optimize the system operation and improve the sound reinforcement quality. In a specific example, when the multifunctional sound reinforcement system of the present invention plays a high-resolution audio file, the real-time computing power configuration strategy guides the power amplifier and control module to increase the sampling rate of the digital-to-analog converter to 96kHz or higher to provide a more delicate audio performance. In a real-time conference, there are multiple microphone inputs. In order to save bandwidth and reduce processing burden, the real-time computing power configuration strategy guides the power amplifier and control module to reduce the sampling rate to 8kHz or 16kHz, thereby optimizing the operation of the system. In another specific example, there is a device failure in the real-time environmental data, and the real-time routing configuration strategy guides the power amplifier and control module to automatically switch to a backup network path or device. For example, if the main router fails, the power amplifier and control module can quickly switch to the backup router to ensure the continuity of audio transmission.

[0093] It should be noted that this embodiment realizes the control of the processing unit through the power amplification and control module, and provides data reference for the operation of the sound reinforcement module.

[0094] Specifically, the system further includes: a feedback module, the feedback module is used to collect any one or more of the update environment data, update audio processing requirements and update resource processing requirements generated after the sound reinforcement, and package and generate feedback processing requirements;

[0095] The feedback module is communicatively connected with the DSP central processing module.

[0096] It should be noted that this embodiment continuously updates and upgrades the environmental analysis model through the feedback module to adapt to the ever-changing technical standards and user needs.

[0097] Specifically, the operation process of the DSP central processing module includes:

[0098] Receive and interpret feedback processing requirements;

[0099] Run the resource processing model and execute steps A1 to A3 or steps B1 to B3;

[0100] The obtained adaptive resource allocation strategy set or demand response resource allocation strategy set is output.

[0101] Specifically, the construction process of the transmission module includes:

[0102] BLE overlay technology is used to build a two-way communication connection between the audio acquisition module, DSP central processing module, power amplification and control module and sound reinforcement module.

[0103] It should be noted that this embodiment utilizes the existing BLE overlay technology to solve the problem that the same device can wirelessly transmit audio data and dual-line transmit environmental data, audio processing requirements, resource processing requirements, audio control signals and processing control signals, thereby solving the problem in the prior art that the same device cannot transmit other data while transmitting audio data.

[0104] Specifically, environmental data includes spatial characteristics, acoustic characteristics, and equipment operation characteristics;

[0105] Spatial characteristics are used to characterize the nature of the physical space where the sound reinforcement module is installed, which affects the sound reinforcement;

[0106] Acoustic characteristics are used to characterize the acoustic properties of sound propagation and reflection in the installation place of the sound reinforcement module;

[0107] Equipment operating characteristics are used to characterize the nature of the equipment's operating status;

[0108] The audio data includes analog audio input data, microphone input data and digital audio input data.

[0109] In a simple example, spatial characteristics may include the size, shape, and height of the venue, acoustic characteristics may include sound reflection data, noise data, etc., and equipment operation characteristics may include sound status, audio cable connection status, etc. Audio data may be audio signals from a record player, audio from a tape recorder, voice signals input by a speaker through a microphone, digital audio signals output from digital music players, computers, and other devices, etc.

[0110] In the specific application of this embodiment, a visual display system is provided to display various functional parameters and data input, output and configuration, so that users can intuitively see the system status at a glance, or manually operate the modulation of various functional parameters. The display has a lock and unlock function to prevent others from repairing or destroying the built system, solving the safety of human error operation. And there is a one-button quick call mode scene function on the control panel, with three commonly used functions of hall, middle hall and conference to quickly respond to various conference scenes and system sound reinforcement matching.

[0111] The operation process of this embodiment is as follows:

[0112] The audio acquisition module collects data and transmits it to the DSP central processing module through the transmission module.

[0113] The DSP central processing module runs the resource processing model to process the front-end audio signal through digital and analog, including equalization, compression, mixing, etc. It adapts to different sound reinforcement needs through the self-computing power of the external collector and continuously monitors the acoustic characteristics of the on-site environment.

[0114] According to the monitored environmental data and audio processing requirements, the required resources are evaluated and allocated to the power amplification and control module. The power amplification and control module dynamically adjusts the resource allocation of each processing module according to the computing power evaluation results. For example, the routing, phase, sound pressure and processing computing power of the loudspeaker amplification equipment installed in the venue are performed to ensure uniform sound distribution.

[0115] The DSP central processing module analyzes feedback modules in real time, such as audience feedback, sound quality, etc., and automatically adjusts the computing power allocation to achieve the best sound reinforcement effect. On the premise of meeting the standard requirements, the system optimizes the use of computing power, reduces unnecessary energy consumption, and improves energy efficiency.

[0116] Through these steps, the sound reinforcement system can intelligently allocate computing power according to changes in the on-site environment, ensuring audio quality while improving the overall efficiency and performance requirements of the system.

[0117] In summary, the multifunctional sound reinforcement system of this embodiment uses the audio acquisition module to provide a data basis for the DSP central processing module, and realizes various types of audio data processing; by configuring the environment analysis model for the DSP central processing module, the resource allocation strategy set is generated by using the environment analysis model, and autonomous environment analysis and resource allocation strategy are realized, which provides technical guarantee for improving the quality of sound reinforcement; the control of the digital-to-analog converter and the router is realized through the power amplification and control module, which provides a hardware basis for improving the quality of sound reinforcement; multifunctional sound reinforcement is realized through the sound reinforcement audio module; the two-way transmission of audio data, environmental data, audio processing requirements and resource processing requirements on the same channel is realized through the transmission module, which provides a hardware basis for improving the quality of sound reinforcement; thereby overcoming the problems of complex and cumbersome system operation, multiple equipment, high failure rate, difficult operation and heavy workload of daily maintenance, and the system can be used after simple installation on site.

[0118] In the embodiments provided in the present application, it should be understood that the embodiments described herein can be implemented in hardware, software, firmware, middleware, code or any appropriate combination thereof. For hardware implementation, the processor can be implemented in one or more of the following units: application specific integrated circuit (ASIC), digital signal processor (DSP), digital signal processing device (DSPD), programmable logic device (PLD), field programmable gate array (FPGA), processor, controller, microcontroller, microprocessor, other electronic units designed to implement the functions described herein or their combination. For software implementation, part or all of the flow of the embodiment can be completed by instructing the relevant hardware through a computer program. When implemented, the above program can be stored in a computer-readable storage medium or transmitted as one or more instructions or codes on a computer-readable storage medium. Computer-readable storage media include computer storage media and communication media, wherein the communication medium includes any medium that is convenient for transmitting a computer program from one place to another. The storage medium can be any available medium that a computer can access. The computer-readable storage medium can include but is not limited to RAM, ROM, EEPROM, CD-ROM or other optical disk storage, disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of an instruction or data structure and can be accessed by a computer.

[0119] Finally, it should be noted that the above is only a preferred embodiment of the present application and is not intended to limit the present application. Although the present application has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A multifunctional sound reinforcement system, characterized in that: The system includes: audio acquisition module, DSP central processing module, power amplification and control module, sound reinforcement module and transmission module; The audio acquisition module is configured to: collect audio data, environmental data and audio processing requirements, and collect resource processing requirements when there are resource processing requirements; the audio processing requirements are used to characterize the requirements for the processing unit when amplifying the audio data, and the resource processing requirements are used to characterize the requirements for resource allocation of the processing unit when amplifying; the processing unit includes at least a digital-to-analog converter and a router; The DSP central processing module is configured to: store an environment analysis model pre-trained by machine learning, and generate a resource allocation strategy set by using the environment analysis model; wherein the environment analysis model is used to generate the resource allocation strategy set based on the audio processing requirements and the resource processing requirements, and is also used to generate the resource processing requirements based on the environment data when the audio acquisition module does not acquire the resource processing requirements; The power amplification and control module is configured to: allocate resources of the processing unit based on the resource allocation strategy set, and adjust each of the processing units based on the audio processing requirements; the resource allocation strategy set is a strategy corresponding to the environmental data and used for sound reinforcement under the environmental data, and the resource allocation strategy set includes a computing power configuration strategy, a routing configuration strategy and an audio configuration strategy; The sound amplification module includes a plurality of speakers, which are used to amplify the audio data; The transmission module is configured to perform two-way communication; The audio acquisition module, the DSP central processing module, the power amplification and control module and the sound reinforcement module all utilize the transmission module for two-way communication.

2. The multifunctional sound reinforcement system according to claim 1, characterized in that: Before training the environmental analysis model, historical environmental data and corresponding historical resource processing requirements and historical resource allocation strategy sets are obtained, and the historical environmental data and corresponding historical resource processing requirements and historical resource allocation strategy sets are stored in the environmental analysis model.

3. The multifunctional sound reinforcement system according to claim 2, characterized in that: Training the environment analysis model includes the following steps: A1: Determine whether there is a real-time resource processing demand, otherwise go to step A2; A2: Acquire and match the historical environmental data based on the real-time environmental data, and output the historical environmental data that meets a preset environmental similarity threshold; A3: Obtain the historical resource processing requirements corresponding to the historical environment data matched with step A2, obtain the corresponding historical resource allocation strategy set based on the historical resource processing requirements, output the historical resource allocation strategy set and define it as an adaptive resource allocation strategy set.

4. The multifunctional sound reinforcement system according to claim 3, characterized in that: Training the environment analysis model also includes the following steps: B1: Determine whether there is a real-time resource processing requirement, if yes, execute step B2; B2: Acquire and match the historical resource processing requirements based on the real-time resource processing requirements, and output the historical resource processing requirements that meet a preset requirement similarity threshold; B3: Obtain the historical resource allocation strategy set corresponding to the historical resource processing demand matched with step B2, output the historical resource allocation strategy set and define it as a demand response resource allocation strategy set.

5. The multifunctional sound reinforcement system according to claim 4, characterized in that: The operation process of the DSP central processing module includes: Receive real-time data collected by the audio collection module, where the real-time data at least includes real-time audio data, real-time environment data and real-time audio processing requirements; Run the resource processing model to execute steps A1 to A3 or steps B1 to B3; The obtained adaptive resource allocation strategy set or the demand response resource allocation strategy set is output to the power amplification and control module.

6. The multifunctional sound reinforcement system according to claim 5, characterized in that: The operation process of the power amplification and control module includes: Receiving and parsing the adaptive resource allocation strategy set or the demand response resource allocation strategy set to obtain a real-time computing power configuration strategy, a real-time routing configuration strategy, and a real-time audio configuration strategy; Based on the real-time computing power configuration strategy, the real-time routing configuration strategy and the real-time sound configuration strategy, control and generate corresponding audio control signals and processing control signals; The processing control signal is used to control the operation of the digital-to-analog converter and the router of the processing unit; The audio control signal is used to control the operation of the sound reinforcement module.

7. The multifunctional sound reinforcement system according to claim 5, characterized in that: The system further includes: a feedback module, the feedback module being used to collect any one or more of the updated environment data, updated audio processing requirements and updated resource processing requirements generated after the sound reinforcement, and to package and generate feedback processing requirements; The feedback module is communicatively connected with the DSP central processing module.

8. The multifunctional sound reinforcement system according to claim 7, characterized in that: The operation process of the DSP central processing module includes: Accepting and analyzing the feedback processing requirements; Run the resource processing model to execute steps A1 to A3 or steps B1 to B3; The obtained adaptive resource allocation strategy set or the demand response resource allocation strategy set is output.

9. The multifunctional sound reinforcement system according to claim 1, characterized in that: The construction process of the transmission module includes: The BLE superposition technology is used to establish a two-way communication connection between the audio acquisition module, the DSP central processing module, the power amplification and control module and the sound reinforcement module.

10. The multifunctional sound reinforcement system according to claim 1, characterized in that: The environmental data includes spatial characteristics, acoustic characteristics and equipment operation characteristics; The spatial characteristics are used to characterize the properties of the physical space where the installation location of the sound reinforcement module affects the sound reinforcement; The acoustic characteristics are used to characterize the acoustic properties of sound propagation and reflection at the installation location of the sound reinforcement module; The equipment operation characteristics are used to characterize the nature of the equipment's operating state; The audio data includes analog audio input data, microphone input data and digital audio input data.

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