Indoor multi-source sound connection control method and wall surface control panel

Abstract

The invention discloses an indoor multi-source sound connection control method and a wall surface control panel, and systematic optimization of an indoor sound environment is realized through noise suppression three-mode control (equipment mute, physical obstruction and sound wave offset), intelligent white noise adjustment and five-gear standardized volume design. The panel integrates noise monitoring sensing, an AI decision engine and a tone equalization module, and supports the following innovative functions: 1) five-gear sound pressure level control: defining five-gear volume of minimum sound (10-20dBA), light sound (30-40dBA), comfortable sound (50-60dBA), loud sound (70-80dBA) and maximum sound (90-100dBA), and supporting + / -10dB fine tuning; according to the equipment calibration technology, connection equipment is automatically calibrated through a built-in sound pressure meter, and consistency of cross-equipment sound pressure levels is ensured (the error is smaller than or equal to 1.5 dB), and according to the tone dynamic adjustment technology, bass and treble stepping adjustment and a mega bass switch are provided to adapt to different scene requirements. The method is suitable for families, hospitals, offices and other scenes, and the acoustic comfort level and the control efficiency are remarkably improved.

Description

Technical Field

[0001] The present invention relates to the field of smart home and building acoustic control technology, and in particular to an indoor sound connection control method and wall control panel that integrates multi-source noise management, intelligent volume adjustment, and acoustic optimization. Through five-speed standardized volume design, dynamic tone adjustment, and device calibration technology, precise control of the sound environment across devices is achieved, and the system is suitable for acoustic management in scenarios such as home, medical care, and office. Background Art

[0002] Traditional indoor sound management systems deployed on wall switch panels focus solely on music playback and have the following drawbacks: 1) Lack of noise management: Inability to systematically identify, suppress, or regulate indoor noise sources (such as air conditioners and electrical appliances), requiring manual intervention to address noise interference; 2) Single function: Functions such as white noise adjustment and broadcast priority control are not integrated, and different sound source controls must rely on independent devices; 3) Poor scenario adaptability: Lack of dynamic control strategies based on environmental perception and user status. For example, it is impossible to automatically turn off noise devices or trigger sleep-inducing white noise in sleeping scenarios.

[0003] Traditional volume control solutions have the following drawbacks: 1) Inconsistent volume calibration: The maximum / minimum volume ranges of different devices (such as speakers and TVs) vary significantly, requiring users to repeatedly adjust the volume. 2) Coarse adjustment granularity: Most devices only provide 0-100% linear adjustment, which does not take into account the nonlinear characteristics of human loudness perception; 3) Lack of tone control: Bass / treble adjustment relies on a professional equalizer, which is difficult for ordinary users to operate.

[0004] This invention integrates noise equipment management, white noise adjustment, music playback and broadcasting functions, combines noise monitoring and AI analysis, achieves systematic optimization of the indoor sound environment, and proposes a five-level standardized volume design to solve the problem of inconsistent volume calibration, which is significantly innovative. Summary of the Invention

[0005] The system architecture and core functions of the wall control panel of the present invention are as follows Figure 1 As shown, it includes the following module units: 1) Noise monitoring sensor unit: built-in high-precision microphone array (frequency response 20Hz-20kHz±1dB) to collect ambient sound signals in real time; 2) Multi-source control engine: connects to four types of sound source devices (noise equipment, white noise generator, music player, and broadcasting system); 3) Volume Management Unit: Integrates a five-level volume mapping algorithm and device calibration engine; 4) Tone Equalization Module: Supports bass / treble parameter storage and preset schemes (e.g., "Vocal Enhancement" preset: treble +3dB, bass -2dB); 5) AI decision-making unit: Generates control strategies based on noise analysis, user biometric data (heart rate, blood oxygen), and scenario requirements; 6) Interactive interface: touch screen, divided into four functional blocks: "suppression - white noise - music - broadcast" ( Figure 2 ).

[0006] The three-mode noise suppression control consists of device silent management, physical barrier control, and active sound wave cancellation; 1) Device mute management: Scan connected devices (air conditioners, TVs, etc.) and automatically turn them off or mute them according to the scenario (such as sleep mode); 2) Physical barrier control: Linking with smart doors and windows / curtains, executing the "close doors and windows + curtains" command to reduce external noise penetration; 3) Active sound wave cancellation: Through an external low-distortion speaker (optional), it emits reverse sound waves for low-frequency noise (<200Hz), with a cancellation efficiency of ≥70%.

[0007] The intelligent white noise adjustment system includes hardware connection, AI adaptive algorithm, and biological signal fusion; 1) Hardware connection: Supports USB-C digital audio output (32bit / 384kHz) and Bluetooth 5.3 dual-mode transmission (LDAC codec); 2) AI adaptive algorithm: Python def noise_recommendation(sensor_data): if HRV<30ms: # Stress status return "Forest Rain Sound + 4Hz Binaural Beats" elif SpO2<95%: # Light sleep return "Deep Ocean Sound + Pink Noise" 3) Biosignal fusion: Connect to PPG / ECG sensors (sampling rate ≥ 250Hz) to match the user's physiological state with the white noise type in real time.

[0008] Scenario-based music and radio linkage includes music playback and radio priority: 1) Music Playback: Supports cloud-based music libraries such as Spotify and QQ Music, and automatically matches playlists based on ambient temperature and humidity (e.g., playing jazz on a rainy day). The music playback interface includes a volume control area with five-position touch buttons (with LED backlighting to indicate the current position) and a fine-tuning slider; a pitch adjustment area with bass (⬇ / ⬆) and treble (⬇ / ⬆) touch buttons and a subwoofer on / off icon. 2) Broadcast priority: The emergency alarm sound forcibly interrupts other sound sources, and the volume is automatically increased to a preset safety threshold (such as 75dB).

[0009] The wall control panel of the present invention is equipped with a dynamic noise analysis system: 1) Noise radar map generation: real-time display of noise spectrum distribution ( Figure 3 ), mark the main noise sources (e.g. low-frequency noise from air conditioners accounts for 45%); 2) Historical data analysis: Count noise peak periods (e.g., air conditioning noise in an office lasting two hours at noon) and provide equipment maintenance recommendations.

[0010] This invention proposes a five-level standardized volume design involving sound pressure level benchmarks, differential expansion mechanisms, and equipment calibration technology: 1) Sound pressure level benchmark: Based on the A-weighted sound pressure level (dBA), five standard volume levels are defined (Table 1). A level is a value that includes a 10dBA amplitude. In practical application, only the level name is mentioned. For example, when speaking in a light tone, the starting value of the range is taken, such as 30dBA. Other values in the same range, such as 33dBA, are expressed in the combination of light tone 33dBA. This helps to establish a correspondence between volume names and Chinese character expressions.

[0011] Table 1: Five standard volume levels Gear Name Sound pressure level range (dBA) Applicable Scenarios The quietest 10-20 Sleep at night, library softly 30-40 Private conversation, meditation Comfort Sound 50-60 Background music, office environment loud 70-80 Movie watching and gathering Loudest 90-100 Emergency broadcasts, alarms 2) Differential expansion mechanism: supports ±10dB fine-tuning based on the base level, for example, "comfort sound +10dB" corresponds to 70dBA; 3) Device calibration technology: The panel's built-in sound pressure meter (accuracy ±1.5dB) automatically calibrates connected devices to ensure that the actual output of "comfort sound 50dBA" is consistent across different devices.

[0012] The wall control panel tone dynamic adjustment system of the present invention is composed of a bass / treble adjustment key and a heavy bass switch key: 1) Bass / treble adjustment button: The bass button adjusts the frequency range from 20-200Hz, in steps of ±2dB; the treble button adjusts the frequency range from 2kHz-20kHz, in steps of ±2dB; 2) Bass switch: When enabled, it automatically adds low-frequency enhancement below 80Hz (Q value = 1.2, gain +6dB).

[0013] The wall control panel intelligent volume strategy of the present invention: 1) Scene Adaptation: Night mode forces the sound to the lowest setting, while Party mode locks the sound to the highest setting. 2) Noise compensation: When the ambient noise increases by 5dB, the volume level will be automatically increased (e.g., comfortable sound → loud sound).

[0014] To sum up, the original features of the wall control panel of the present invention include three-mode control of noise suppression, intelligent white noise adjustment system, scene-based music and broadcast linkage, and five-level standardized volume design. It is suitable for scenes such as homes, hospitals, and offices, and can significantly improve acoustic comfort and control efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 : System architecture diagram.

[0016] Figure 2 : Noise suppression three-modal control flow chart.

[0017] Figure 3 : Schematic diagram of white noise connection and AI intelligent playback.

[0018] Figure 4 : Schematic diagram of home scenario deployment.

[0019] Figure 5 : Schematic diagram of hospital ward deployment.

[0020] Figure 6 : Diagram of open office deployment.

[0021] Figure 7 :Schematic diagram of retirement apartment deployment.

[0022] Figure 8 : Schematic diagram of the soundscape control in the guqin room. DETAILED DESCRIPTION

[0023] Example 1: Home scenario deployment: 1) Device connection: The panel connects to air conditioners and electric curtains via Wi-Fi, smart speakers via Bluetooth, and white noise generators via USB-C; 2) Equipment calibration: The panel is connected to the home theater system via a USB sound card and automatically calibrates the "maximum volume" level to 90dBA (C-weighted); 3) Night mode: When the panel detects that the indoor light is less than 10 lux, it is forced to switch to the "lowest volume" gear (the TV volume is simultaneously limited to 20dBA); 4) Fine-tuning operation: When the user slides "Comfort Sound + 10dB", the actual output is 60dBA background music; 5) Sleep mode trigger: User taps the "Suppress" button → The panel turns off the air conditioner and closes the curtains → White noise (rain + alpha waves) starts. If a baby crying sound is detected (frequency analysis 2-4kHz), the white noise volume is automatically increased by 3dB. Effect evaluation: Users' sleep quality scores were significantly improved, and the peak noise level at night was reduced by 18dB.

[0024] Example 2: Hospital ward deployment. Equipment configuration: The panel is connected to medical equipment (ventilators, monitors) and connected to the nurse station broadcast system; 1) Noise suppression strategy: When the monitor alarm sounds, the panel pauses background music and prioritizes the broadcast prompt tone; at night, "stream sound + pink noise" is automatically played to shorten the time it takes for patients to fall asleep; 2) Alarm priority: When the monitor alarm sounds, the broadcast volume automatically switches to the "loudest" position (90dBA) to cover other sound sources; 3) Tone Optimization: To address hearing loss in elderly patients, enable the "treble boost" preset (treble +4dB); Data verification: The noise complaint rate in wards has dropped significantly.

[0025] Example 3: Open office deployment. Multi-panel networking: 4 panels are installed in the meeting area and office area respectively to share noise data; 1) Active noise reduction collaboration: The conference area panel detects high-frequency conversation sounds, triggering the white noise generator in the adjacent area to emit masking sound waves; when the air conditioner outlet noise is greater than 50dB, the sound wave cancellation module is activated; 2) Dynamic adjustment: When the air conditioning noise rises to 55dBA, the background music automatically increases from "comfortable" to "loud" (70dBA); 3) Bass management: disable the bass function during meetings to avoid structure-borne noise. Efficiency statistics: Employee concentration assessment has been improved.

[0026] Example 4: Schematic diagram of retirement apartment deployment ( Figure 7 ). Scenario requirements and implementation methods: 1) Automatically play "Forest Birds + Morning Light Wake-up White Noise" at 6:30 in the morning and open the curtains at the same time; 2) During lunch break, switch to "stream sound + low-frequency alpha waves" based on the elderly's heart rate (HRV>50ms); 3) Emergency call broadcast has the highest priority and overrides other sound sources.

[0027] Example 5: Schematic diagram of the soundscape control in the guqin room ( Figure 8 ). Scenario requirements and implementation methods: 1) When the guqin begins to play, the panel will start the rockery water pump (white noise source) to play the "stream water sound"; 2) The lighting automatically switches to the "Bamboo Forest Light and Shadow" mode to enhance the immersive experience; 3) Supports manual adjustment of water flow intensity (corresponding to white noise volume).

Claims

1. A method for controlling indoor multi-source sound connection and a wall control panel, characterized in that include: a. Tri-mode noise suppression control (equipment silent management, physical barrier control, and active sound wave cancellation); b. White noise adaptive adjustment algorithm based on biological signals; c. Broadcast priority interrupt mechanism; d. Dynamic noise radar chart analysis and historical regularity statistics; e. The volume adjustment function adopts a five-level standardized sound pressure level design.

2. The active acoustic wave cancellation system according to claim 1a, characterized in that: 1) Use a multi-channel speaker array to independently control noise sources in different directions; 2) Offset frequency range 20-200Hz, frequency response accuracy ±0.5dB.

3. The white noise adaptive adjustment algorithm according to claim 1b, characterized in that: 1) Access PPG / ECG sensor data streams to match user stress / sleep status in real time; 2) Supports 24-hour cycle programming with a minimum time granularity of 1 minute.

4. A wall control panel, characterized in that: 1) The interactive interface is divided into four sections: suppression, white noise, music, and broadcast; 2) Built-in microphone array and edge computing unit to support local noise spectrum analysis; 3) Supports USB-C / Bluetooth 5.3 / Dante protocol multi-mode audio output.

5. The five-level standardized sound pressure level design according to claim 1, characterized in that: The volume level definitions include minimum (10-20dBA), soft (30-40dBA), comfortable (50-60dBA), loud (70-80dBA), and maximum (90-100dBA), and support ±10dB fine-tuning centered on the base level.

6. The five-level standardized sound pressure level design according to claim 1, characterized in that: The output of connected devices is calibrated using the panel's built-in sound pressure meter to ensure that the error in the sound pressure level at the same level across different devices is ≤±1.5dB.

7. The wall control panel according to claim 1, characterized in that: The panel interactive interface includes a bass adjustment key, a treble adjustment key and a subwoofer switch. The bass adjustment range is 20-200Hz±2dB, and the treble adjustment range is 2kHz-20kHz±2dB. When the subwoofer switch is enabled, low-frequency enhancement below 80Hz is superimposed (Q value = 1.2, gain +6dB).

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