Audio device intelligent control method and system based on plant electric signals

Abstract

The invention relates to the technical field of voice recognition, in particular to an audio device intelligent control method and system based on plant electric signals. The method comprises the following steps: acquiring a voltage signal, noise intensity and different environmental parameter values, and obtaining resting potential reference values and respective reference values; acquiring potential deviation and signal fluctuation amplitude based on the fluctuation amplitude of the voltage deviation in the time window and the overall condition; acquiring an environment gain factor and a noise suppression factor based on the difference between the environment parameter and the reference value and the difference between the noise and the reference value; pitch and tone quality are respectively adjusted through an environment gain factor, a noise suppression factor, potential deviation and signal fluctuation amplitude, and a special sound effect is determined in combination with voltage deviation; and music playing is controlled by combining musical instrument timbre recognition voice. According to the invention, the interactivity between the user and the plant is improved.

Description

Technical Field

[0001] This application relates to the field of speech recognition technology, specifically to an intelligent control method and system for an audio device based on plant electrical signals. Background Technology

[0002] With the continuous development of digital and online entertainment for children and the deepening of urbanization, children are having less and less contact with nature, gradually becoming disconnected from it, and the lack of nature education for children is becoming increasingly serious. This situation leads to weaker empathy for nature in children and difficulty in dealing with their relationships with plants and animals in nature. Children are in a crucial stage of language development and exploration of the unknown world; however, their imagination lacks clear purpose and is mainly unintentional, while intentional and creative imagination are gradually developing but not dominating. At the same time, they have a simple sense of rhythm in music, but lack awareness of timbre and pitch, and their interest in natural things needs to be cultivated. To alleviate the current situation of children's lack of nature education, it is necessary to explore more distinctive and valuable intelligent products and services for nature education from the perspective of social innovation, by skillfully utilizing intelligent technology and based on environmental awareness.

[0003] Currently, there exists a three-in-one smart flowerpot (Smart Touch Music Flower Pot) that integrates a plant piano, night light, and Bluetooth speaker into one product. It can produce piano sounds by touching the leaves or stems of a real plant; it can periodically change the light using seven colors or emit a continuous, soft white light; and it can connect to Bluetooth devices such as smartphones to play personalized music. However, the music played by the audio device in this product is pre-set in the system and is not linked to the user's actions. The product controls music playback after detecting the electrical signal generated by the user's touch via electrode needles. It cannot detect capacitance changes caused by the interaction between the hand and the plant, nor can it change the played sound. Summary of the Invention

[0004] To address the technical problem of users being unable to control music after interacting with plants, this application provides an intelligent control method and system for audio devices based on plant electrical signals. The specific technical solution adopted is as follows: In a first aspect, this application proposes an intelligent control method for an audio device based on plant electrical signals, the method comprising the following steps: After the audio device is powered on, it collects voltage signals, noise intensity, and different environmental parameter values, and calculates the average values ​​within a preset time period to obtain the resting potential reference value and the respective baseline values ​​of noise and environmental parameters. A preset time window is used to calculate the voltage deviation based on the differences between all voltage signals and the resting potential reference value within the time window; the potential offset and signal fluctuation amplitude are obtained based on the overall voltage deviation and the voltage deviation fluctuation amplitude, respectively. The environmental gain factor is determined based on the difference between all environmental parameter values ​​at each time step and their corresponding reference values; the noise suppression factor is determined based on the difference between the noise intensity at each time step and its corresponding reference value. The pitch range is limited by a noise suppression factor, and the pitch is adjusted based on the environmental gain factor and potential offset. The volume is adjusted based on the signal fluctuation amplitude and the environmental gain factor. The deviation threshold is adjusted based on the noise suppression factor, and the voltage deviation is compared with the adjusted deviation threshold to determine special sound effects. The adjusted pitch, volume and special sound effects are combined with the instrument timbre in the inserted NFC card to identify music and control music playback.

[0005] In the above solution, when a user touches a plant, the application converts the changes in electrical signals generated by the touch into voltage characteristics, and then maps these characteristics to pitch, volume, and special sound effects by combining environmental gain factors and noise suppression factors calculated from environmental parameters. At the same time, music is output by combining the instrument information of the NFC card. By mapping the dynamic changes in electrical signals to music parameters through the user's touch on the plant, and taking into account the influence of environmental factors, as well as switching between the timbres of different instruments from the East and West through the NFC card, the output music is richer, the interactivity between the user and the plant is improved, and the user can intuitively understand the physical properties of the music.

[0006] In one embodiment, the environmental parameters include light intensity, temperature, and soil moisture.

[0007] In one embodiment, the reference values ​​include a light reference value, a temperature reference value, a soil moisture reference value, and a background noise reference value.

[0008] In one embodiment, the potential offset is the mean of all voltage deviations within the time window, and the signal fluctuation amplitude is the standard deviation of all voltage deviations within the time window.

[0009] In one embodiment, the environmental gain factor is negatively correlated with the difference between the environmental parameter value and the corresponding benchmark value.

[0010] In one embodiment, the noise suppression factor is positively correlated with the difference between the noise intensity and the background noise reference value.

[0011] In one embodiment, the method of limiting the pitch range by a noise suppression factor and adjusting the pitch based on an environmental gain factor and a potential shift is as follows: , Indicates standard pitch. Represents the environmental gain factor. Indicates potential shift. This indicates the preset pitch gain coefficient. This indicates the minimum value of the preset pitch range. This indicates the maximum value of the preset pitch range. Indicates the noise adjustment amount. This refers to the clamp function. Indicates the output pitch; The noise adjustment amount is a noise suppression factor of a preset multiple.

[0012] In one embodiment, the method for adjusting the volume based on signal fluctuation amplitude and environmental gain factor is as follows: , This indicates the minimum value of the preset volume range. Indicates the amplitude of signal fluctuation. This represents the maximum standard deviation of the voltage deviation after power is applied. This indicates the maximum value within the preset volume range. Represents the environmental gain factor. This indicates the output volume.

[0013] In one embodiment, the method for determining special sound effects by adjusting the deviation threshold based on a noise suppression factor and comparing the voltage deviation with the adjusted deviation threshold is as follows: , This indicates the preset high threshold before adjustment. This represents the maximum adjustment amount of the threshold. Indicates the noise suppression factor. This indicates the adjusted high threshold. The adjusted low threshold is the inverse of the adjusted high threshold; An echo effect is triggered when the voltage deviation is greater than the high threshold, and a vibrato effect is triggered when the voltage deviation of the plant electrical signal is less than the low threshold. No other special sound effects are triggered.

[0014] Secondly, embodiments of this application also provide an intelligent control system for an audio device based on plant electrical signals, including a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, it implements the steps of any of the above-described intelligent control methods for an audio device based on plant electrical signals.

[0015] The beneficial effects of this application are as follows: This application converts the real-time electrical signal changes caused by the user touching the plant into voltage characteristics, and then maps these characteristics to pitch, volume, and special sound effects by combining environmental gain factors and noise suppression factors calculated from environmental parameters. Simultaneously, it outputs music by combining the instrument information of the NFC card. By mapping the dynamic changes of electrical signals to music parameters through the user touching the plant, and taking into account the influence of environmental factors, as well as switching between the timbres of different Eastern and Western instruments through the NFC card, the output music is richer, improving the interactivity between the user and the plant, and helping the user intuitively understand the physical properties of music. Attached Figure Description

[0016] To more clearly illustrate the technical solutions and advantages in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 This is a flowchart illustrating an intelligent control method for an audio device based on plant electrical signals, provided as an embodiment of this application. Detailed Implementation

[0018] To further illustrate the technical means and effects adopted by this application to achieve the intended inventive purpose, the following, in conjunction with the accompanying drawings and preferred embodiments, details the specific implementation, structure, features, and effects of an intelligent control method and system for an audio device based on plant electrical signals proposed in this application. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0019] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains.

[0020] An embodiment of an intelligent control method and system for an audio device based on plant electrical signals: The following description, in conjunction with the accompanying drawings, details the specific scheme of the intelligent control method and system for an audio device based on plant electrical signals provided in this application.

[0021] Please see Figure 1 The diagram illustrates a flowchart of an intelligent control method for an audio device based on plant electrical signals, according to an embodiment of this application. The method includes the following steps: Step S001: Collect voltage signals, noise intensity, and different environmental parameter values, and obtain resting potential reference values ​​and their respective baseline values.

[0022] Each time the device is powered on, voltage signals are collected via electrodes for a preset time, and the average value of the voltage signals is calculated as a reference value for the current plant's resting potential. Because different plants have different physiological states, the collected voltage values ​​will vary. To avoid baseline drift of the voltage signal when changing plants, the reference value is recalculated each time the device is powered on, thus ensuring the accuracy of subsequent electrical signal changes. The changes are based on the user's actual interaction with the plant, rather than on the plant's inherent physiological differences. In this embodiment, after power is applied, a voltage signal is collected for 10 seconds to calculate the resting potential reference value.

[0023] Environmental conditions, such as light, temperature, and soil moisture, can affect plant physiological activities, thereby altering the electrical signal baseline. Therefore, light intensity, temperature, and humidity are collected over a preset time using light, temperature, and humidity sensors, and these three values ​​are recorded as environmental parameters. Similarly, the average value of these data over a preset time is used to obtain the light baseline value. Temperature reference value Soil moisture baseline value .

[0024] Noise intensity is collected using a noise sensor, and the average value is calculated over a preset time period to obtain a background noise baseline. In this embodiment, environmental parameters and noise data are also collected for 10 seconds.

[0025] Because environmental parameters and noise change at a slower rate than the plant voltage signal, different sampling frequencies are used for both. In this embodiment, the voltage signal is sampled at 100Hz, while the environmental parameters and noise data are sampled at 1Hz.

[0026] Sampling is triggered synchronously by the system master clock. By interpolating the voltage signal, the environmental parameters, noise and voltage signal are synchronized with the timestamp. Data sampling and synchronization are well-known technologies, and the specific steps will not be described in detail.

[0027] Thus far, voltage signals, noise intensity, and various environmental parameter values, as well as resting potential reference values, illumination reference values, temperature reference values, soil moisture reference values, and background noise reference values ​​have been obtained.

[0028] Step S002: Obtain the potential offset and signal fluctuation amplitude based on the fluctuation amplitude of the voltage deviation within the time window and the overall situation.

[0029] A preset time window is used to extract features by sliding the time window. The length of the time window is the same as the sampling frequency of the environmental data, meaning that each moment corresponds to one time window. In this embodiment, the length of the time window is 1 second, and the sliding step of the time window is 1 second.

[0030] The voltage deviation is obtained by subtracting the voltage signal from the resting potential reference value.

[0031] Since the average voltage deviation reflects the overall potential shift trend caused by touch, factors such as the height of the touch position and the size of the contact area will lead to potential shift. When a child touches a plant, the potential shift of the plant's electrical signal will differ depending on whether they are consistently touching a specific part of the plant, such as the upper and lower halves of a leaf. The average value can smooth out transient noise and stably extract this trend, using it as input for pitch mapping. That is, the greater the potential shift, the higher the corresponding pitch, thus matching the continuous change in pitch and conforming to a child's intuitive understanding that changes in touch position lead to changes in pitch. Compared to the instantaneous value of the original plant electrical signal, the average voltage deviation filters out environmental interference, thereby ensuring the stability of the output pitch.

[0032] Therefore, the average deviation of all voltage deviations within the time window is calculated and recorded as the potential offset to ensure the stability of the output pitch.

[0033] Since the standard deviation of voltage deviation can measure the dispersion of a signal, thus reflecting the dynamic changes in the user's touch force, and because the standard deviation of voltage deviation generated by pressing and light touching are significantly different, when a child touches a plant, the change in force or movement causes the plant's electrical signal to fluctuate at high frequencies. This application measures the amplitude of this fluctuation through the standard deviation and uses it as the input for volume mapping; that is, the greater the fluctuation, the greater the corresponding volume, which conforms to a child's intuitive understanding that a stronger touch results in a louder volume.

[0034] Therefore, the standard deviation of all voltage deviations within the time window is calculated and recorded as the signal fluctuation amplitude, which is used to reflect the signal fluctuation situation.

[0035] Thus, the potential shift and signal fluctuation amplitude within the time window were obtained.

[0036] Step S003: Obtain the environmental gain factor and noise suppression factor based on the differences between environmental parameters and reference values, and the differences between noise and reference values, respectively.

[0037] Light, temperature, and soil moisture are important environmental factors that directly alter the physiological activity of plants. Even the same plant will have different resting potentials in different environments. Therefore, it is necessary to compensate based on baseline environmental parameters to avoid baseline shifts caused by changes in environmental parameters. This would result in excessive deviations in music parameters generated by the same touch action, affecting the user experience.

[0038] An environmental gain factor is determined based on the difference between the environmental parameter value at each moment and the corresponding environmental baseline value, thereby quantifying the deviation between the environmental parameters and the baseline environmental state; the larger the environmental gain factor, the smaller the deviation.

[0039] The environmental gain factor is negatively correlated with the difference between the environmental parameter value and the corresponding environmental benchmark value.

[0040] It should be noted that negative correlation means that when one variable increases, the other variable decreases accordingly, and the two variables change in opposite directions. When one variable changes from large to small or from small to large, the other variable also changes from small to large or from large to small. The specific relationship is determined by practical application, and this application does not impose any special restrictions.

[0041] Preferably, in this embodiment, the expression for the environmental gain factor is: , This represents the light intensity at time t. Indicates the reference value for illumination. This represents the temperature at time t. Indicates the temperature reference value. This represents the soil moisture at time t. Indicates the baseline value of soil moisture. Let represent the environmental gain factor at time t.

[0042] When all environmental parameters are the same as the reference values ​​collected after power-on, the environmental gain factor is set to 1, meaning no compensation is required. In a normal environment, when environmental parameters deviate from the reference values, the larger the real-time environmental parameters, the greater the plant activity, and the smaller the environmental gain factor, preventing the electrical signals generated by the plant due to touch from being excessively amplified. Conversely, the smaller the real-time environmental parameters, the less suitable it is for plant survival, and the larger the environmental gain factor, thus amplifying minute changes in the plant's electrical signals.

[0043] In addition to environmental factors that affect the physiological state of plants, there are also environmental noise factors. The usage scenarios of children's musical devices are filled with noise interference. If this noise is not addressed, it may be misinterpreted as a touch signal by the capacitive detection module, leading to accidental music triggering even when there is no user interaction, thus affecting the user experience.

[0044] The noise suppression factor is calculated based on the difference between the noise intensity and the background noise baseline value at each moment.

[0045] The noise suppression factor is positively correlated with the difference between the noise intensity and the background noise reference value.

[0046] It should be noted that positive correlation means that when one variable increases, the other variable also increases, and the two variables change in the same direction. When one variable changes from large to small or from small to large, the other variable also changes from large to small or from small to large. The specific relationship is determined by the actual application, and this application does not impose any special restrictions.

[0047] Preferably, the expression for the noise suppression factor is: , This represents the noise intensity at time t. Indicates the background noise reference value. This indicates that the parameters are being adjusted. This represents an exponential function with the natural constant as its base. This represents the noise suppression factor.

[0048] The adjustment parameter controls the rate at which the noise suppression factor changes with noise deviation. A higher value results in a steeper curve, meaning the noise suppression factor quickly approaches 1 when the noise deviates from the reference value, indicating a rapid increase in suppression. Conversely, a lower value results in a flatter curve, preventing abrupt changes in suppression. The value ranges from 5 to 20 dB. In quieter environments, a higher value is used to avoid sudden increases in suppression caused by minor noise, such as a child speaking softly. In noisier environments, a lower value is used to quickly suppress false triggers caused by sudden noise. In one embodiment, the value is 10 dB.

[0049] The noise suppression factor uses an S-curve. When the ambient noise is much greater than the reference value, the exponential term approaches 0 and the noise suppression factor approaches 1, reducing the impact of noise. Conversely, when the ambient noise is much less than the reference value, the exponential term approaches infinity and the noise suppression factor approaches 0, resulting in a weak suppression effect that ensures that children's slight touches can be detected.

[0050] At this point, the environmental gain factor and noise suppression factor at each moment have been obtained.

[0051] Step S004: Adjust the pitch and timbre by using environmental gain factor, noise suppression factor, potential offset and signal fluctuation amplitude respectively, and determine special sound effects by combining voltage deviation; then control the playback of music by combining instrument timbre.

[0052] In this application, the audio device maps the plant electrical signals generated when the user touches different parts of the plant to pitch, maps the fluctuations in plant electrical signals generated by changes in the user's touch force to volume, and triggers special sound effects through a plant electrical signal deviation threshold. The device also identifies NFC cards representing different musical instruments inserted into the device through an NFC identification module, and switches between different instruments to change the instrument timbre. This effectively improves the shortcomings of traditional smart flower pots that can only play preset music, making the output music richer.

[0053] In this application, the normal adjustment device has a pitch range of 220Hz-880Hz, and the standard pitch is 440Hz. Since noise can affect the pitch, the range is adjusted based on the noise suppression factor. Therefore, the pitch is adjusted by amplifying the potential shift through the environmental gain factor, but the pitch needs to be limited to the adjustment range.

[0054] The mapping formula for factors and pitch is: , Indicates standard pitch. Represents the environmental gain factor. Indicates potential shift. Indicates the pitch gain coefficient. Indicates the minimum value of the pitch range. Indicates the maximum value of the pitch range. Indicates the noise adjustment amount. This refers to the clamp function. Indicates the output pitch.

[0055] Wherein, the noise adjustment amount is a preset multiple of the noise suppression factor. In this embodiment, the noise adjustment amount is a 50-fold noise suppression factor, meaning the noise adjustment range is 0-50Hz. Additionally, K represents the pitch change corresponding to the change in the electrical signal, with a value range of... The larger the value, the greater the pitch change caused by the same change in plant electrical signal. In one embodiment, the value is taken as [value missing]. The clamp function limits the range to prevent the output pitch from exceeding a child's auditory comfort zone.

[0056] In this application, a volume range is set from 0.2 to 1, corresponding to a volume of 20% to 100%. The volume is mapped based on the signal fluctuation amplitude and the environmental gain factor.

[0057] The volume mapping formula is: , This indicates the minimum value in the volume range. Indicates the amplitude of signal fluctuation. This represents the maximum standard deviation of the voltage deviation after power is applied. Indicates the maximum value within the volume range. Represents the environmental gain factor. This indicates the output volume.

[0058] When mapping special sound effects, the deviation threshold and the instantaneous deviation of the real-time acquired plant electrical signals are used. The comparison involves a high threshold and a low threshold, wherein, in this embodiment, the high threshold... Low threshold The initial values ​​are set to 0.2V and 0.1V respectively.

[0059] The deviation threshold is adjusted based on environmental noise, and its expression is as follows: , This indicates the high threshold before adjustment. This represents the maximum adjustment amount of the threshold. Indicates the noise suppression factor. This represents the adjusted high threshold. In this embodiment, the maximum adjustment amount for the threshold is 0.2.

[0060] The adjusted low threshold is the opposite of the adjusted high threshold.

[0061] When the ambient noise is lower The larger the value, the smaller the adjusted high threshold, so even a slight touch can trigger dynamic sound effects; conversely, the greater the ambient noise, the smaller the threshold. The smaller the value, the larger the adjusted high threshold, meaning that a stronger touch is required to trigger the special sound effect, thus avoiding environmental interference.

[0062] The system uses a dual threshold to determine whether to trigger a special sound effect, which includes an echo effect and a vibrato effect. The echo effect is triggered when the voltage deviation of the plant electrical signal is greater than the high threshold, and the vibrato effect is triggered when the voltage deviation of the plant electrical signal is less than the low threshold. No special sound effect is triggered when the voltage deviation is greater than or equal to the low threshold and less than or equal to the high threshold.

[0063] Furthermore, the NFC recognition module enables tone switching. Users can insert NFC cards representing different musical instruments into the slots. When the NFC recognition module detects the insertion of an NFC card, it reads the instrument identifier stored within the card. The audio playback module then switches to the tone library of the instrument corresponding to the NFC card, thus enabling the switching of different instrument tones.

[0064] Finally, the audio module selects the closest sampled audio file from the instrument type timbre library determined by the NFC recognition module based on the received music parameters, including pitch, volume, and special sound effects. It then performs voice recognition, plays the audio at the specified volume, adds special sound effects, and converts it into music through the speaker.

[0065] This completes the intelligent control of the audio device.

[0066] Based on the same inventive concept as the above method, this embodiment of the invention also provides an intelligent control system for an audio device based on plant electrical signals, including a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, it implements the steps of any one of the above-described intelligent control methods for an audio device based on plant electrical signals.

[0067] It should be noted that the above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

[0068] The various embodiments in this specification are described in a progressive manner. The same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on describing the differences from other embodiments.

Claims

1. A method for intelligent control of an audio device based on plant electrical signals, characterized in that, The method includes the following steps: After the audio device is powered on, it collects voltage signals, noise intensity, and different environmental parameter values, and calculates the average values ​​within a preset time period to obtain the resting potential reference value and the respective baseline values ​​of noise and environmental parameters. A preset time window is used to calculate the voltage deviation based on the differences between all voltage signals and the resting potential reference value within the time window; the potential offset and signal fluctuation amplitude are obtained based on the overall voltage deviation and the voltage deviation fluctuation amplitude, respectively. The environmental gain factor is determined based on the difference between all environmental parameter values ​​at each time step and their corresponding reference values; the noise suppression factor is determined based on the difference between the noise intensity at each time step and its corresponding reference value. The pitch range is limited by a noise suppression factor, and the pitch is adjusted based on the environmental gain factor and potential offset. The volume is adjusted based on the signal fluctuation amplitude and the environmental gain factor. The deviation threshold is adjusted based on the noise suppression factor, and the voltage deviation is compared with the adjusted deviation threshold to determine special sound effects. The adjusted pitch, volume and special sound effects are combined with the instrument timbre in the inserted NFC card to identify music and control music playback.

2. The intelligent control method for an audio device based on plant electrical signals as described in claim 1, characterized in that, The environmental parameters include light intensity, temperature, and soil moisture.

3. The intelligent control method for an audio device based on plant electrical signals as described in claim 1, characterized in that, The reference values ​​include light reference values, temperature reference values, soil moisture reference values, and background noise reference values.

4. The intelligent control method for an audio device based on plant electrical signals as described in claim 1, characterized in that, The potential offset is the mean of all voltage deviations within the time window, and the signal fluctuation amplitude is the standard deviation of all voltage deviations within the time window.

5. The intelligent control method for an audio device based on plant electrical signals as described in claim 1, characterized in that, The environmental gain factor is negatively correlated with the difference between the environmental parameter value and the corresponding benchmark value.

6. The intelligent control method for an audio device based on plant electrical signals as described in claim 3, characterized in that, The noise suppression factor is positively correlated with the difference between the noise intensity and the background noise reference value.

7. The intelligent control method for an audio device based on plant electrical signals as described in claim 1, characterized in that, The method of limiting the pitch range through a noise suppression factor and adjusting the pitch based on an environmental gain factor and a potential shift is as follows: , Indicates standard pitch. Represents the environmental gain factor. Indicates potential shift. This indicates the preset pitch gain coefficient. This indicates the minimum value of the preset pitch range. This indicates the maximum value of the preset pitch range. Indicates the noise adjustment amount. This refers to the clamp function. Indicates the output pitch; The noise adjustment amount is a noise suppression factor of a preset multiple.

8. The intelligent control method for an audio device based on plant electrical signals as described in claim 1, characterized in that, The method for adjusting volume based on signal fluctuation amplitude and environmental gain factor is as follows: , This indicates the minimum value of the preset volume range. Indicates the amplitude of signal fluctuation. This represents the maximum standard deviation of the voltage deviation after power is applied. This indicates the maximum value within the preset volume range. Represents the environmental gain factor. This indicates the output volume.

9. The intelligent control method for an audio device based on plant electrical signals as described in claim 1, characterized in that, The method for determining special sound effects by adjusting the deviation threshold based on a noise suppression factor and comparing the voltage deviation with the adjusted deviation threshold is as follows: , This indicates the preset high threshold before adjustment. This represents the maximum adjustment amount of the threshold. Indicates the noise suppression factor. This indicates the adjusted high threshold. The adjusted low threshold is the inverse of the adjusted high threshold; An echo effect is triggered when the voltage deviation is greater than the high threshold, and a vibrato effect is triggered when the voltage deviation of the plant electrical signal is less than the low threshold. No other special sound effects are triggered.

10. An intelligent control system for an audio device based on plant electrical signals, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the intelligent control method for an audio device based on plant electrical signals as described in any one of claims 1-9.

Images