An adaptive ear environment conditioning system based on environmental parameters, conditioning method and earplug device thereof

Abstract

The application discloses an adaptive ear environment adjusting system based on environmental parameters, which comprises an environmental sensing module, a processing unit, a multifunctional execution unit, a touch adjusting unit and a remote communication unit; the environmental sensing module collects external environmental parameters and ear environmental parameters in real time; the processing unit is in communication connection with the environmental sensing module and outputs a control instruction; the multifunctional execution unit executes corresponding functional units after obtaining the control instruction; the touch adjusting unit is arranged on a wearable device body and controls the working mode of the multifunctional execution unit based on manual input operation instructions; and the remote communication unit establishes a connection with an external terminal through a wireless link to obtain voice communication content. Compared with the prior art, the application has the advantages that a kind of adaptive ear environment adjusting system based on environmental parameters, an adjusting method and earplug devices are provided, which are convenient to operate and apply and are suitable for multi-scene interactive use.

Description

Technical Field

[0001] This invention relates to the field of wearable smart device technology, specifically to an adaptive ear environment adjustment system, adjustment method, and earplug device based on environmental parameters. Background Technology

[0002] With the increasing prominence of the problem of personnel being exposed to harmful sound environments for a long time in high-noise work scenarios (such as ship cabins, shooting ranges, and confined spaces), traditional passive noise-isolating earmuffs or ordinary active noise-canceling headphones can no longer meet the needs for multi-functional, intelligent, and personalized protection.

[0003] Currently, most traditional earmuffs have only one function and can only be used in a single environment. When changing the application environment, it is necessary to use earmuffs with different functions.

[0004] Therefore, there is an urgent need for a new type of ear environment adaptive system that can sense internal and external environmental parameters in real time, intelligently identify application scenarios, automatically schedule multiple protection functions, support human-machine collaborative control, and continuously optimize user experience. Summary of the Invention

[0005] The technical problem to be solved by the present invention is to overcome the above-mentioned technical defects and provide an adaptive ear environment adjustment system, adjustment method and earplug device based on environmental parameters that is easy to operate and adaptable to multi-scenario interactive use.

[0006] To solve the above-mentioned technical problems, the technical solution provided by the present invention is: an adaptive ear environment adjustment system based on environmental parameters, comprising an environmental sensing module, a processing unit, a multi-functional execution unit, a touch control adjustment unit, and a remote communication unit; The environmental sensing module collects external environmental parameters and intraocular environmental parameters in real time. The processing unit is communicatively connected to the environmental sensing module, performs fusion analysis on the collected data to identify scene types, and outputs control commands. The multi-functional execution unit includes a wideband active noise reduction unit, a knock protection unit, and a microclimate active control unit. After obtaining control commands, it assigns the corresponding functional unit to execute. The touch control unit is placed on the wearable device body and controls the working mode of the multi-functional execution unit based on manual input operation commands; The remote communication unit obtains voice communication content by establishing a connection with an external terminal through a wireless link.

[0007] Preferably, the external environmental parameters include broadband noise intensity, instantaneous impulse noise peak value, ambient temperature, relative humidity, and air pressure changes; The parameters of the intraocular environment include temperature, humidity, air pressure, and tympanic membrane vibration amplitude.

[0008] Preferably, the environmental sensing module includes an external high dynamic range microphone array, a multi-channel temperature and humidity sensor, a miniature barometric pressure sensor, and a miniature laser vibration meter.

[0009] Preferably, the scenario types include deep cabin environments on ships, noisy environments at field shooting training ranges, low-ventilation environments in enclosed compartments, and tactical quiet environments.

[0010] Preferably, the determination of the scene type includes: Continuous exposure to 50–80 dB low-frequency mechanical noise, temperature ≥38℃, and relative humidity ≥80% constitutes the deep cabin environment of a ship. Intermittent exposure to impulse noise with a peak sound pressure level ≥140dB constitutes the noise environment of a field shooting training range; An air circulation rate of less than 0.5 times / hour and an increase in CO2 concentration constitute a low-ventilation environment in a closed cabin. The tactical silence environment is actively activated via the touch control unit.

[0011] Preferably, the wideband active noise reduction unit performs noise suppression based on an adaptive filtering algorithm; The knock protection unit includes an acoustic valve and a pneumatic buffer pad for the tympanic membrane, which immediately closes when an impact sound is detected to block the sound wave from directly entering the ear canal. The microclimate active regulation unit includes a micro thermoelectric cooling chip and a hydrophilic / hydrophobic bilayer microporous membrane structure, which maintains the temperature at 28–34°C within the closed ear canal.

[0012] Preferably, the processing unit integrates a multimodal fusion engine, which outputs dynamically adjusted control commands based on environmental perception data, user historical preference data, and physiological state feedback to adjust the activation threshold of the multifunctional execution unit.

[0013] Another aspect of the present invention discloses a method for regulating the ear environment, comprising the following steps: S1: Real-time collection of external and internal ear environmental parameters via the environmental sensing module; S2: The processing unit performs fusion analysis on the collected data, extracts feature vectors and matches them with preset scene templates to identify the current environment type; S3: Generate control commands based on the recognition results and schedule the corresponding sub-units in the multi-functional execution unit to start operation; S4: Modify the control strategy by combining manual commands from the touch control unit or voice / encrypted commands received from the remote communication unit; S5: Continuously monitor the execution effect and changes in the inner ear microenvironment to complete closed-loop feedback regulation.

[0014] Preferably, step S5 includes recording user adjustment behaviors in different scenarios and constructing a user preference model.

[0015] Another aspect of the present invention discloses an earplug, including an earplug body, wherein the earplug body has a receiving cavity and is provided with an environmental sensing module, a processing unit, a power supply module and a multi-functional execution unit; The earbud body is equipped with a touch control adjustment unit on its exterior.

[0016] The advantages of this invention compared with the prior art are as follows: This invention is the first to integrate parameters such as temperature and humidity inside and outside the ear canal, air pressure, noise spectrum, and tympanic membrane vibration into the sensing system. Based on the multi-parameter combination model, it automatically identifies multiple environmental scenarios, thereby automatically activating protection for different scenarios, reducing the need to carry and replace different types of earplugs. It can also be integrated into earplugs, earmuffs and other devices, making it convenient for widespread use. Attached Figure Description

[0017] Figure 1 This is a schematic diagram of an adaptive ear environment adjustment system based on environmental parameters. Detailed Implementation

[0018] The present invention will now be described in further detail with reference to the accompanying drawings.

[0019] Combined with appendix Figure 1 As shown, an adaptive ear environment adjustment system based on environmental parameters includes an environmental sensing module, a processing unit, a multi-functional execution unit, a touch control adjustment unit, and a remote communication unit. The environmental sensing module collects external environmental parameters and in-ear environmental parameters in real time. The processing unit is communicatively connected to the environmental sensing module, performs fusion analysis on the collected data to identify scene types, and outputs control commands. The multi-functional execution unit includes a broadband active noise reduction unit, a knock protection unit, and a microclimate active regulation unit, which executes the corresponding functional unit after receiving the control commands. The touch control adjustment unit is placed on the wearable device body and adjusts the working mode of the multi-functional execution unit based on manual input operation commands. The remote communication unit establishes a connection with an external terminal through a wireless link to obtain voice communication content.

[0020] The external environmental parameters include broadband noise intensity, instantaneous impact noise peak, ambient temperature, relative humidity, and air pressure changes, while the internal ear environmental parameters include temperature, humidity, air pressure, and tympanic membrane vibration amplitude.

[0021] The environmental sensing module includes an external high-dynamic microphone array, multi-channel temperature and humidity sensors, miniature barometric pressure sensors, and miniature laser vibration meters for monitoring.

[0022] In one embodiment: Scenario types include deep-cabin environments on ships, noisy environments at field shooting ranges, low-ventilation environments in confined compartments, and tactical quiet environments. The determination of scenario type includes: Continuous exposure to 50–80 dB low-frequency mechanical noise, temperature ≥38℃, and relative humidity ≥80% constitutes the deep cabin environment of a ship. Intermittent exposure to impulse noise with a peak sound pressure level ≥140dB constitutes the noise environment of a field shooting training range; An air circulation rate of less than 0.5 times / hour and an increase in CO2 concentration constitute a low-ventilation environment in a closed cabin. The tactical silence environment is actively activated via the touch control unit.

[0023] In application, the wideband active noise reduction unit suppresses noise based on an adaptive filtering algorithm; The knock protection unit includes an acoustic valve and a pneumatic buffer pad for the tympanic membrane, which immediately closes when an impact sound is detected to block the sound wave from directly entering the ear canal. The microclimate active regulation unit includes a micro thermoelectric cooling chip and a hydrophilic / hydrophobic bilayer microporous membrane structure, which maintains the temperature at 28–34°C within the closed ear canal.

[0024] To ensure the effectiveness of intelligent applications, the processing unit integrates a multimodal fusion engine, which outputs dynamically adjusted control commands based on environmental perception data, user historical preference data, and physiological state feedback to adjust the activation threshold of the multifunctional execution unit.

[0025] In specific implementation, this invention includes the following steps: S1: Real-time collection of external and internal ear environmental parameters via the environmental sensing module; S2: The processing unit performs fusion analysis on the collected data, extracts feature vectors and matches them with preset scene templates to identify the current environment type; S3: Generate control commands based on the recognition results and schedule the corresponding sub-units in the multi-functional execution unit to start operation; S4: Modify the control strategy by combining manual commands from the touch control unit or voice / encrypted commands received from the remote communication unit; S5: Continuously monitor the performance and changes in the in-ear microenvironment to complete closed-loop feedback adjustment, including recording the user's adjustment behavior in different scenarios and building a user preference model.

[0026] In another embodiment, the adaptive ear environment adjustment system of the present invention can be extended to civilian applications, such as adaptive air pressure adjustment in air travel, intelligent filtering of traffic noise in urban commuting, and snoring isolation and white noise generation in sleep environments. The system can be further customized via a mobile app.

[0027] The contents not described in detail in this specification are existing technologies known to those skilled in the art.

[0028] The working principle of this invention: This invention collects real-time environmental parameters (noise spectrum, temperature and humidity, air pressure, and tympanic membrane vibration) from multiple sources of sensors. The processing unit performs multimodal data fusion analysis to intelligently identify specific scenarios such as ship cabins and shooting ranges. After identification, the three main functional units are automatically coordinated to work together: The wideband active noise reduction unit uses an adaptive filtering algorithm to suppress continuous noise; The knock protection unit triggers the acoustic valve and pneumatic buffer pad when it detects an impact sound. The microclimate control unit maintains a comfortable temperature and humidity in the ear canal through a thermoelectric cooling plate and a double-layer microporous membrane structure.

[0029] The system can also dynamically optimize parameter thresholds by combining users' historical preference data, and continuously adjust the execution effect through closed-loop feedback, so as to achieve full-dimensional adaptive adjustment of the ear environment and provide the best hearing protection and comfort experience in changing environments without frequent manual intervention.

[0030] It should be noted that similar labels and letters in the following figures indicate similar items. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.

[0031] In this invention, unless otherwise explicitly specified and limited, "above" or "below" the second feature can include direct contact between the first and second features, or contact between the first and second features through another feature between them. Furthermore, "above," "over," and "on top" of the second feature includes the first feature being directly above or diagonally above the second feature, or simply indicates that the first feature is at a higher horizontal level than the second feature. "Below," "below," and "under" the second feature includes the first feature being directly below or diagonally below the second feature, or simply indicates that the first feature is at a lower horizontal level than the second feature. The present invention and its embodiments have been described above. This description is not restrictive, and the accompanying drawings are only one embodiment of the present invention; the actual structure is not limited thereto. In conclusion, if those skilled in the art are inspired by this description and design similar structures and embodiments without departing from the spirit of the invention, such designs should fall within the protection scope of the present invention.

Claims

1. An adaptive ear environment adjustment system based on environmental parameters, characterized in that: It includes an environmental sensing module, a processing unit, a multi-functional execution unit, a touch control unit, and a remote communication unit; The environmental sensing module collects external environmental parameters and intraocular environmental parameters in real time. The processing unit is communicatively connected to the environmental sensing module, performs fusion analysis on the collected data to identify scene types, and outputs control commands. The multi-functional execution unit includes a wideband active noise reduction unit, a knock protection unit, and a microclimate active control unit. After obtaining control commands, it assigns the corresponding functional unit to execute. The touch control unit is placed on the wearable device body and controls the working mode of the multi-functional execution unit based on manual input operation commands; The remote communication unit obtains voice communication content by establishing a connection with an external terminal through a wireless link.

2. The adaptive ear environment adjustment system based on environmental parameters according to claim 1, characterized in that: The external environmental parameters include broadband noise intensity, instantaneous impulse noise peak, ambient temperature, relative humidity, and air pressure changes; The parameters of the intraocular environment include temperature, humidity, air pressure, and tympanic membrane vibration amplitude.

3. The adaptive ear environment adjustment system based on environmental parameters according to claim 2, characterized in that: The environmental sensing module includes an external high-dynamic microphone array, a multi-channel temperature and humidity sensor, a miniature barometric pressure sensor, and a miniature laser vibration meter.

4. The adaptive ear environment adjustment system based on environmental parameters according to claim 1, characterized in that: The scenario types include deep cabin environments on ships, noisy environments at field shooting training ranges, low-ventilation environments in enclosed compartments, and tactical quiet environments.

5. The adaptive ear environment adjustment system based on environmental parameters according to claim 3, characterized in that: The determination of the scenario type includes: Continuous exposure to 50–80 dB low-frequency mechanical noise, temperature ≥38℃, and relative humidity ≥80% constitutes the deep cabin environment of a ship. Intermittent exposure to impulse noise with a peak sound pressure level ≥140dB constitutes the noise environment of a field shooting training range; An air circulation rate of less than 0.5 times / hour and an increase in CO2 concentration constitute a low-ventilation environment in a closed cabin. The tactical silence environment is actively activated via the touch control unit.

6. The adaptive ear environment adjustment system based on environmental parameters according to claim 5, characterized in that: The wideband active noise reduction unit suppresses noise based on an adaptive filtering algorithm. The knock protection unit includes an acoustic valve and a pneumatic buffer pad for the tympanic membrane, which immediately closes when an impact sound is detected to block the sound wave from directly entering the ear canal. The microclimate active regulation unit includes a micro thermoelectric cooling chip and a hydrophilic / hydrophobic bilayer microporous membrane structure, which maintains the temperature at 28–34°C within the closed ear canal.

7. The adaptive ear environment adjustment system based on environmental parameters according to claim 6, characterized in that: The processing unit integrates a multimodal fusion engine, which outputs dynamically adjusted control commands based on environmental perception data, user historical preference data, and physiological state feedback to adjust the activation threshold of the multifunctional execution unit.

8. A method for adjusting the ear environment in an adaptive ear environment adjustment system based on environmental parameters as described in any one of claims 1-7, characterized in that: Includes the following steps: S1: Real-time collection of external and internal ear environmental parameters via the environmental sensing module; S2: The processing unit performs fusion analysis on the collected data, extracts feature vectors and matches them with preset scene templates to identify the current environment type; S3: Generate control commands based on the recognition results and schedule the corresponding sub-units in the multi-functional execution unit to start operation; S4: Modify the control strategy by combining manual commands from the touch control unit or voice / encrypted commands received from the remote communication unit; S5: Continuously monitor the execution effect and changes in the inner ear microenvironment to complete closed-loop feedback regulation.

9. The ear environment regulation method according to claim 8, characterized in that: S5 includes recording user adjustment behaviors in different scenarios and constructing a user preference model.

10. An earplug, comprising an earplug body, characterized in that: The earplug body integrates an adaptive ear environment adjustment system based on environmental parameters as described in any one of claims 1-8; The earplug body has a cavity, which houses an environmental sensing module, a processing unit, a power supply module, and a multi-functional execution unit. The earbud body is equipped with a touch control adjustment unit on its exterior.

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