Intelligent control method and system for high-fidelity aluminum ribbon pickup device

Abstract

The present invention relates to the technical field of intelligent control of sound pickup devices, and is a method and system for intelligent control of high-fidelity aluminum belt sound pickup devices, comprising: adjusting the tightness of the aluminum belt of the sound pickup device to obtain a calibration sound pickup device, obtaining a magnetic path, obtaining a magnetic field, obtaining multiple sound signals, extracting one sound signal from the multiple sound signals in sequence, and performing the following operations on the extracted sound signals: obtaining an induced electromotive force, obtaining a total resistance in the magnetic path, obtaining a sound current signal, obtaining a sound spectrum diagram, obtaining a comprehensive sound signal value, and if the comprehensive sound signal value is greater than or equal to a preset comprehensive sound signal value threshold, the sound signal is confirmed as a high-fidelity sound signal, and an optimal high-fidelity sound signal is extracted from one or more high-fidelity sound signals, and intelligent control of the high-fidelity aluminum belt sound pickup device is completed based on the optimal high-fidelity sound signal. The present invention can achieve higher quality audio pickup and transmission.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent control of sound pickup devices, and in particular to an intelligent control method, system, electronic equipment and computer-readable storage medium for a high-fidelity aluminum ribbon sound pickup device. Background Art

[0002] A high-fidelity ribbon pickup is a device specially designed to capture high-quality audio signals. It is widely used in audio recording, music production, broadcasting and audio analysis. The core feature of a high-fidelity ribbon pickup is high-fidelity performance, which can restore the original sound as realistically as possible without signal distortion or quality loss.

[0003] Currently, traditional pickup devices perform well in many applications, but they still have some limitations in certain specific scenarios, such as high distortion rate, limited frequency response range and high noise level. Therefore, how to achieve higher quality audio pickup and transmission is a technical problem that needs to be solved urgently. Summary of the invention

[0004] The present invention provides an intelligent control method for a high-fidelity aluminum ribbon pickup device and a computer-readable storage medium, the main purpose of which is to achieve higher quality audio pickup and transmission.

[0005] To achieve the above object, the present invention provides an intelligent control method for a high-fidelity aluminum ribbon pickup device, comprising:

[0006] Receiving an intelligent control instruction, and adjusting the tightness of the aluminum belt of the pre-built sound pickup device according to the intelligent control instruction to obtain a calibrated sound pickup device, wherein the sound pickup device includes: an aluminum belt, a calibrating device, a plurality of pure irons, and a plurality of magnetic steels;

[0007] Obtaining a magnetic path according to the plurality of pure irons and the plurality of magnetic steels, obtaining a magnetic field according to the magnetic path, confirming a silent environment, and obtaining a plurality of sound signals, wherein one sound signal corresponds to a continuous time series;

[0008] Extract a sound signal from multiple sound signals one by one, and perform the following operations on the extracted sound signals:

[0009] In a silent environment, obtaining an induced electromotive force based on the sound signal, adjusting the sound pickup device and the magnetic field, wherein the induced electromotive force includes a plurality of induced electromotive force values;

[0010] Obtaining the total resistance in the magnetic path, obtaining the induced current ratio based on the induced electromotive force and the total resistance, obtaining the sound current signal using the induced current ratio, and performing signal conversion on the sound current signal to obtain the sound voltage signal;

[0011] Performing a filtering operation on the sound voltage signal, and amplifying the filtered sound voltage signal to obtain an analog sound voltage signal;

[0012] Performing signal digital conversion on the analog sound voltage signal to obtain a sound digital signal, and obtaining a sound spectrum diagram based on the sound digital signal, wherein the horizontal axis of the sound spectrum diagram is time and the vertical axis is frequency;

[0013] Calculating a total harmonic distortion value of a sound spectrum graph, calculating a clarity index of the sound spectrum graph, and obtaining a comprehensive sound signal value according to the total harmonic distortion value and the clarity index;

[0014] If it is confirmed that the comprehensive sound signal value is less than the preset comprehensive sound signal value threshold, the sound signal is discarded, the retained sound signal is aggregated to obtain multiple updated sound signals, the multiple updated sound signals are used as multiple sound signals, and the step of sequentially extracting one sound signal from the multiple sound signals is returned until the comprehensive sound signal value is greater than or equal to the preset comprehensive sound signal value threshold, and the sound signal is confirmed as a high-fidelity sound signal;

[0015] Aggregating high-fidelity sound signals to obtain one or more segments of high-fidelity sound signals, and extracting an optimal high-fidelity sound signal from the one or more segments of high-fidelity sound signals;

[0016] Intelligent control of the Hi-Fi ribbon pickup based on the optimal Hi-Fi sound signal.

[0017] Optionally, adjusting the tightness of the aluminum belt of the pre-built sound pickup device according to the intelligent control instruction to obtain the calibrated sound pickup device includes:

[0018] Acquire a target vibration frequency and a target vibration amplitude according to the intelligent control instruction;

[0019] The adjustment device is used to adjust the tightness of the aluminum belt in the sound pickup device to obtain an initially adjusted sound pickup device, and the initial tension value of the initially adjusted sound pickup device is calculated according to the target vibration frequency and the target vibration amplitude;

[0020] If the initial tension value is within the preset standard tension value range, the initial adjustment sound pickup device corresponding to the initial tension value is confirmed as the adjustment sound pickup device;

[0021] If the initial tension value is not within the preset standard tension value range, return to the step of using the adjustment device to adjust the tightness of the aluminum ribbon in the sound pickup device until the initial tension value is within the preset standard tension value range, thereby obtaining a calibrated sound pickup device.

[0022] Optionally, the step of calculating the initial tension value of the initial adjustment sound pickup device according to the target vibration frequency and the target vibration amplitude includes:

[0023] Calculate the initial tension value of the initial tuning pickup device using a pre-built aluminum strip tension value formula, a target vibration frequency, and a target vibration amplitude;

[0024] Among them, the formula for the tension value of the aluminum strip is as follows:

[0025]

[0026] Among them, Z represents the initial tension value, A represents the target vibration amplitude, l represents the length of the aluminum strip, k1 represents the frequency correction coefficient, f represents the target vibration frequency, μ represents the linear density of the aluminum strip, k2 represents the amplitude correction coefficient, α represents the temperature compensation coefficient, T0 represents the current ambient temperature, β represents the humidity compensation coefficient, H represents the current ambient humidity, and e represents the base of the natural logarithm.

[0027] Optionally, obtaining the magnetic path according to the plurality of pure irons and the plurality of magnetic steels includes:

[0028] Obtaining magnetic steel side lengths of a plurality of magnetic steels, wherein the magnetic steel side lengths of each magnetic steel in the plurality of magnetic steels are the same, the magnetic steels are cubes, and the plurality of magnetic steels are two magnetic steels;

[0029] Arranging the plurality of pieces of pure iron in a rectangular orientation based on the side length of the magnetic steel to obtain a rectangular magnetic conductive group, wherein the pure iron is L-shaped pure iron;

[0030] Confirm the N-pole conductive magnet group and the S-pole conductive magnet group in the rectangular conductive magnet group, wherein the N-pole conductive magnet group and the S-pole conductive magnet group each include two pieces of pure iron, and the two pieces of pure iron are provided with a gap, and the gap is the same as the side length of the magnetic steel;

[0031] Two magnets are respectively inserted into the N-pole magnet group and the S-pole magnet group to obtain a magnetic path, wherein in the magnetic path, there is a magnet in the interval between the two pure irons corresponding to the N-pole magnet group, and the two side surfaces of the cube of the magnet form contact surfaces with the two pure irons respectively.

[0032] Optionally, the step of obtaining the induced electromotive force based on the sound signal, adjusting the sound pickup device and the magnetic field includes:

[0033] Get the magnetic field strength;

[0034] The sound signal is used to detect the vibration frequency and amplitude of the aluminum tape in the calibration pickup device to obtain the sound vibration frequency and the sound vibration amplitude, and the measurement time of the vibration frequency and amplitude detection of the aluminum tape in the calibration pickup device is recorded, and the sound movement speed is obtained according to the sound vibration frequency, the sound vibration amplitude and the measurement time;

[0035] The induced electromotive force of the sound signal is calculated using the sound movement speed and the magnetic field strength, wherein the calculation formula of the induced electromotive force is as follows:

[0036]

[0037]

[0038] Among them, E represents the induced electromotive force, B represents the magnetic field strength, F represents the sound vibration amplitude, π represents the circumference, f1 represents the sound vibration frequency, V represents the speed of sound movement, ρ represents the air density, and c represents the speed of sound. represents the damping coefficient of the aluminum strip, s represents the measurement time, and τ represents the time constant.

[0039] Optionally, obtaining the magnetic field strength includes:

[0040] Acquire a magnetic field strength detection point set according to the magnetic path and a preset detection interval;

[0041] A target magnetic field strength detection point is extracted from the magnetic field strength detection point set in turn, and the following operations are performed on each of the extracted target magnetic field strength detection points:

[0042] Obtaining magnetic field parameters of the target magnetic field strength detection point, wherein the magnetic field parameters include: magnetic field strength value and position coordinates, and the magnetic field strength value and the position coordinates correspond one to one;

[0043] Summarize the magnetic field parameters to obtain a magnetic field parameter set;

[0044] Draw a magnetic field intensity distribution diagram according to the magnetic field parameter set, extract a maximum magnetic field intensity value and a minimum magnetic field intensity value from the magnetic field intensity distribution diagram, and obtain an intensity difference value based on the maximum magnetic field intensity value and the minimum magnetic field intensity value, wherein an XOY plane of the magnetic field intensity distribution diagram is a position coordinate and a Z axis is a magnetic field intensity value;

[0045] Comparing the intensity difference with a preset intensity threshold;

[0046] If the intensity difference is greater than or equal to a preset intensity threshold, check whether there is a magnetic object in the magnetic path; if it is confirmed that there is a magnetic object in the magnetic path, remove the magnetic object to obtain an updated magnetic path, obtain an updated magnetic field parameter set based on the updated magnetic path, take the updated magnetic field parameter set as the magnetic field parameter set, and return to the step of drawing a magnetic field intensity distribution map according to the magnetic field parameter set until the intensity difference is less than the preset intensity threshold;

[0047] If the intensity difference is less than a preset intensity threshold, the average value of all magnetic field intensity values ​​in the magnetic field parameter set is calculated, and the average value is confirmed as the magnetic field intensity.

[0048] Optionally, calculating the total harmonic distortion value of the sound spectrum graph includes:

[0049] Obtaining fundamental frequency and harmonic order based on the sound spectrum, and obtaining harmonic frequency set based on the fundamental frequency and harmonic order;

[0050] Obtaining a fundamental frequency amplitude and a harmonic frequency amplitude set based on the fundamental frequency and the harmonic frequency set, wherein each harmonic frequency in the harmonic frequency set corresponds to a harmonic frequency amplitude;

[0051] The total harmonic distortion value of the sound spectrum is calculated using the pre-built total harmonic distortion formula, the fundamental frequency amplitude, and the harmonic frequency amplitude set, where the total harmonic distortion formula is as follows:

[0052]

[0053] Among them, THD represents the total harmonic distortion value, n represents the harmonic order, U n It represents the amplitude of the nth order harmonic frequency, and U1 represents the amplitude of the fundamental wave.

[0054] Optionally, calculating the clarity index of the sound spectrogram includes:

[0055] Extracting the preamble signal segment and the total duration of the sound signal from the sound spectrogram, and obtaining the preamble signal segment energy value based on the preamble signal segment, wherein the preamble signal segment is the signal segment corresponding to 0 milliseconds to 80 milliseconds in the sound spectrogram;

[0056] Extracting a post-signal segment from the sound spectrogram, and obtaining an energy value of the post-signal segment based on the post-signal segment, wherein the post-signal segment is a signal segment corresponding to 80 milliseconds after the sound spectrogram;

[0057] The clarity index is calculated using a pre-built clarity index formula, the total duration of the sound signal, the energy value of the pre-signal segment, and the energy value of the post-signal segment.

[0058] Optionally, the clarity index formula is as follows:

[0059]

[0060] Among them, C 80 Represents the clarity index, log 10 represents a logarithmic function with base 10, t represents the time variable, x(t) represents the amplitude of the sound signal at time t, T represents the total duration of the sound signal, Indicates the energy value of the preamble segment. Indicates the energy value of the post-signal segment.

[0061] To achieve the above object, the present invention further provides an intelligent control system for a high-fidelity aluminum ribbon pickup device, comprising:

[0062] A sound pickup device calibration module is used to receive an intelligent control instruction, and adjust the tightness of the aluminum belt of the pre-built sound pickup device according to the intelligent control instruction to obtain a calibrated sound pickup device, wherein the sound pickup device includes: an aluminum belt, a calibration device, multiple pieces of pure iron and multiple magnetic steels, a magnetic path is obtained according to the multiple pieces of pure iron and multiple magnetic steels, a magnetic field is obtained according to the magnetic path, a silent environment is confirmed, and multiple sound signals are obtained, wherein one sound signal corresponds to a continuous time series;

[0063] A sound spectrum diagram generation module is used to sequentially extract a sound signal from multiple sound signals, and perform the following operations on the extracted sound signals: in a silent environment, based on the sound signal, the sound pickup device and the magnetic field, an induced electromotive force is obtained, wherein the induced electromotive force includes a plurality of induced electromotive force values, the total resistance in the magnetic path is obtained, an induced current ratio is obtained based on the induced electromotive force and the total resistance, a sound current signal is obtained using the induced current ratio, the sound current signal is converted to obtain a sound voltage signal, a filtering operation is performed on the sound voltage signal, and amplification is performed on the filtered sound voltage signal to obtain an analog sound voltage signal, the analog sound voltage signal is converted to a digital signal, and a sound spectrum diagram is obtained based on the sound digital signal, wherein the horizontal axis of the sound spectrum diagram is time and the vertical axis is frequency;

[0064] A sound signal quality screening module, used for calculating the total harmonic distortion value of the sound spectrum graph, calculating the clarity index of the sound spectrum graph, obtaining a comprehensive sound signal value according to the total harmonic distortion value and the clarity index, and if it is confirmed that the comprehensive sound signal value is less than a preset comprehensive sound signal value threshold, the sound signal is eliminated, the retained sound signal is aggregated to obtain multiple segments of updated sound signals, the multiple segments of updated sound signals are used as multiple segments of sound signals, and the step of sequentially extracting one segment of sound signal from the multiple segments of sound signals is returned until the comprehensive sound signal value is greater than or equal to the preset comprehensive sound signal value threshold, then the sound signal is confirmed as a high-fidelity sound signal, the high-fidelity sound signal is aggregated to obtain one or more segments of high-fidelity sound signals, and the optimal high-fidelity sound signal is extracted from the one or more segments of high-fidelity sound signals;

[0065] The optimal sound signal confirmation module is used to complete intelligent control for the high-fidelity aluminum ribbon pickup device based on the optimal high-fidelity sound signal.

[0066] In order to solve the above problem, the present invention further provides an electronic device, the electronic device comprising:

[0067] A memory storing at least one instruction;

[0068] The processor executes the instructions stored in the memory to implement the above-mentioned intelligent control method for the high-fidelity aluminum ribbon pickup device.

[0069] In order to solve the above problems, the present invention also provides a computer-readable storage medium, in which at least one instruction is stored. The at least one instruction is executed by a processor in an electronic device to implement the above-mentioned intelligent control method for a high-fidelity aluminum ribbon pickup device.

[0070] The present invention is to solve the problem described in the background technology. The present invention receives intelligent control instructions, and adjusts the tightness of an aluminum belt of a pre-constructed sound pickup device according to the intelligent control instructions to obtain a calibrated sound pickup device, wherein the sound pickup device includes: an aluminum belt, a calibration device, multiple pieces of pure iron and multiple magnetic steels. The present invention can accurately adjust the tightness of the aluminum belt through the intelligent control instructions to ensure that the vibration characteristics of the aluminum belt reach the optimal state, so that the aluminum belt can more accurately capture the vibration of sound waves and reduce distortion. A magnetic path is obtained according to the multiple pieces of pure iron and multiple magnetic steels, and a magnetic field is obtained according to the magnetic path to confirm a silent environment and obtain multiple sound signals, wherein one sound signal corresponds to a continuous time series. The present invention can optimize the magnetic path by reasonably arranging pure iron and magnetic steel to ensure The uniformity and stability of the magnetic field are maintained, the quality of the induced electromotive force generation is improved, a sound signal is extracted from multiple sound signals in turn, and the following operations are performed on the extracted sound signals: the present invention can ensure that each signal is fully optimized and evaluated by processing the sound signal segment by segment, improve the overall processing quality, and obtain the induced electromotive force based on the sound signal, the adjustment pickup device and the magnetic field in a silent environment, wherein the induced electromotive force includes a plurality of induced electromotive force values. The present invention can accurately obtain the induced electromotive force generated by the vibration of the aluminum strip in a silent environment, reduce noise interference, obtain the total resistance in the magnetic path, obtain the induced current ratio based on the induced electromotive force and the total resistance, and obtain the sound current signal using the induced current ratio. The sound current signal is converted to obtain a sound voltage signal. The present invention converts the current signal into a voltage signal to facilitate subsequent filtering and amplification operations. The sound voltage signal is filtered and the filtered sound voltage signal is amplified to obtain an analog sound voltage signal. The filtering operation of the present invention can remove noise and interference in the signal and improve the purity of the signal. At the same time, the sound signal amplification can enhance the amplitude of the signal. The analog sound voltage signal is digitized to obtain a sound digital signal. A sound spectrum diagram is obtained based on the sound digital signal, wherein the horizontal axis of the sound spectrum diagram is time and the vertical axis is frequency. The present invention can intuitively see the frequency distribution of the sound signal through the sound spectrum diagram, providing data for subsequent evaluation. Support, calculate the total harmonic distortion value of the sound spectrum graph, calculate the clarity index of the sound spectrum graph, obtain the comprehensive sound signal value according to the total harmonic distortion value and the clarity index, the present invention can evaluate the distortion degree of the signal through the total harmonic distortion value to ensure the high fidelity of the signal, the clarity index can evaluate the clarity and details of the signal to ensure the high quality of the signal, if it is confirmed that the comprehensive sound signal value is less than the preset comprehensive sound signal value threshold, the sound signal is eliminated, the retained sound signal is aggregated to obtain multiple updated sound signals, the multiple updated sound signals are multiple sound signals, and the step of extracting one sound signal from the multiple sound signals in turn is returned until the comprehensive sound signal value is greater than or equal to the preset comprehensive sound signal value threshold,The sound signal is confirmed as a high-fidelity sound signal. The present invention automatically filters out sound signals that do not meet the quality requirements by setting a threshold, ensuring that the sound signals finally retained are of high quality, and summarizing the high-fidelity sound signals to obtain one or more high-fidelity sound signals. The optimal high-fidelity sound signal is extracted from one or more high-fidelity sound signals. The present invention selects the high-fidelity sound signal corresponding to the maximum comprehensive sound signal value to ensure that the final selected sound signal is of the highest quality. Based on the optimal high-fidelity sound signal, the intelligent control of the high-fidelity aluminum ribbon pickup device is completed. The present invention ensures a continuous high-fidelity pickup effect by adjusting the aluminum ribbon tension, magnetic field configuration and other parameters in real time according to the optimal sound signal. Therefore, the present invention can achieve higher quality audio pickup and transmission. BRIEF DESCRIPTION OF THE DRAWINGS

[0071] Figure 1 A schematic flow chart of an intelligent control method for a high-fidelity aluminum ribbon pickup device provided by an embodiment of the present invention;

[0072] Figure 2 A functional module diagram of an intelligent control system for a high-fidelity aluminum ribbon pickup device provided by an embodiment of the present invention;

[0073] Figure 3 A schematic diagram of the structure of an electronic device for implementing the intelligent control method for a high-fidelity aluminum ribbon pickup device provided by an embodiment of the present invention;

[0074] Figure 4 A schematic top view of the spatial position relationship of pure iron, aluminum ribbon, adjustment device and magnetic steel for realizing the intelligent control method for a high-fidelity aluminum ribbon pickup device provided in one embodiment of the present invention.

[0075] Description of reference numerals:

[0076] 1. Electronic device; 10. Processor; 11. Memory; 12. Bus.

[0077] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0078] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0079] The embodiment of the present application provides an intelligent control method for a high-fidelity aluminum ribbon pickup device. The execution subject of the intelligent control method for a high-fidelity aluminum ribbon pickup device includes but is not limited to at least one of the electronic devices such as a server and a terminal that can be configured to execute the method provided by the embodiment of the present application. In other words, the intelligent control method for a high-fidelity aluminum ribbon pickup device can be executed by software or hardware installed in a terminal device or a server device, and the software can be a blockchain platform. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc.

[0080] Reference Figure 1 FIG. 1 is a flow chart of an intelligent control method for a high-fidelity aluminum ribbon pickup device provided by an embodiment of the present invention. In this embodiment, the intelligent control method for a high-fidelity aluminum ribbon pickup device includes:

[0081] S1. Receive an intelligent control instruction, and adjust the tightness of the aluminum belt of the pre-built sound pickup device according to the intelligent control instruction to obtain a calibrated sound pickup device.

[0082] Specifically, the sound pickup device includes: an aluminum strip, a tuning device, a plurality of pieces of pure iron and a plurality of magnets.

[0083] It should be explained that the intelligent control command is generally issued by the computer control system and is used to adjust the tightness of the aluminum belt. The sound pickup device refers to a device used to capture sound. For example, a microphone. Figure 4 As shown, aluminum belt tension adjustment refers to using the adjustment device to adjust the aluminum belt along Figure 4 The aluminum strip is contracted in the direction of contraction, or the aluminum strip is stretched in the opposite direction of the aluminum strip contraction direction to adjust the tensile force of the aluminum strip. The adjustment device is a mechanical device for adjusting the tightness of the aluminum strip. Magnetic steel refers to a steel material with strong magnetism, which is used to generate a stable and strong magnetic field.

[0084] Specifically, the method of adjusting the tightness of the aluminum belt of the pre-built sound pickup device according to the intelligent control instruction to obtain the calibrated sound pickup device includes:

[0085] Acquire a target vibration frequency and a target vibration amplitude according to the intelligent control instruction;

[0086] The adjustment device is used to adjust the tightness of the aluminum belt in the sound pickup device to obtain an initially adjusted sound pickup device, and the initial tension value of the initially adjusted sound pickup device is calculated according to the target vibration frequency and the target vibration amplitude;

[0087] If the initial tension value is within the preset standard tension value range, the initial adjustment sound pickup device corresponding to the initial tension value is confirmed as the adjustment sound pickup device;

[0088] If the initial tension value is not within the preset standard tension value range, return to the step of using the adjustment device to adjust the tightness of the aluminum ribbon in the sound pickup device until the initial tension value is within the preset standard tension value range, thereby obtaining a calibrated sound pickup device.

[0089] It can be understood that the linear density of the aluminum strip is obtained by calculating the ratio of the mass of the aluminum strip to the length of the aluminum strip.

[0090] It should be explained that the target vibration frequency refers to the vibration frequency that the aluminum tape in the pickup device should reach under ideal conditions. The target vibration amplitude refers to the designed vibration amplitude that the aluminum tape in the pickup device responds to the standard input signal under conditions of no external interference, constant temperature and constant humidity. The current environment is measured using a temperature sensor and a humidity sensor to obtain the current ambient temperature and humidity. The length of the aluminum tape is measured using a measuring tool, and the quality of the aluminum tape is obtained based on the production batch number on the aluminum tape.

[0091] It is understandable that the initial adjustment pickup device refers to the pickup device obtained after the aluminum tape in the pickup device is adjusted to be tight, and the initial tension value of the initial adjustment pickup device is not within the preset standard tension value range. The frequency correction coefficient refers to the parameter used to adjust the vibration frequency of the aluminum tape. The larger the frequency correction coefficient, the higher the vibration frequency of the aluminum tape. The smaller the frequency correction coefficient, the lower the vibration frequency of the aluminum tape. The amplitude correction coefficient refers to the parameter used to adjust the vibration amplitude of the aluminum tape. The larger the amplitude correction coefficient, the larger the vibration amplitude of the aluminum tape. The smaller the amplitude correction coefficient, the smaller the vibration amplitude of the aluminum tape. The temperature compensation coefficient refers to the effect of ambient temperature changes on the vibration frequency and vibration amplitude of the aluminum tape. The larger the temperature compensation coefficient, the smaller the vibration frequency and vibration amplitude of the aluminum tape. The smaller the temperature compensation coefficient, the larger the vibration frequency and vibration amplitude of the aluminum tape. The humidity compensation coefficient refers to the effect of ambient humidity changes on the vibration characteristics of the aluminum tape. The larger the humidity compensation coefficient, the smaller the vibration frequency and vibration amplitude of the aluminum tape. The smaller the humidity compensation coefficient, the larger the vibration frequency and vibration amplitude of the aluminum tape. The initial tension value refers to the initial tension value of the aluminum strip calculated based on the target vibration frequency and the target vibration amplitude. The standard tension value range refers to a preset tension range used to ensure that the aluminum strip vibrates within the preset tension range. Adjusting the pickup device refers to repeatedly adjusting the tension of the aluminum strip so that the initial tension value of the aluminum strip is within the standard tension value range, and finally obtaining the pickup device.

[0092] In detail, the step of calculating the initial tension value of the initial calibration sound pickup device according to the target vibration frequency and the target vibration amplitude includes:

[0093] Calculate the initial tension value of the initial tuning pickup device using a pre-built aluminum strip tension value formula, a target vibration frequency, and a target vibration amplitude;

[0094] Among them, the formula for the tension value of the aluminum strip is as follows:

[0095]

[0096] Among them, Z represents the initial tension value, A represents the target vibration amplitude, l represents the length of the aluminum strip, k1 represents the frequency correction coefficient, f represents the target vibration frequency, μ represents the linear density of the aluminum strip, k2 represents the amplitude correction coefficient, α represents the temperature compensation coefficient, T0 represents the current ambient temperature, β represents the humidity compensation coefficient, H represents the current ambient humidity, and e represents the base of the natural logarithm.

[0097] It should be explained that the current ambient temperature refers to the real-time temperature of the environment where the sound pickup device is located. The current ambient humidity refers to the real-time humidity of the environment where the sound pickup device is located.

[0098] S2. Obtain a magnetic path according to the plurality of pure irons and the plurality of magnetic steels, obtain a magnetic field according to the magnetic path, confirm a silent environment, and obtain a plurality of sound signals.

[0099] Specifically, a sound signal corresponds to a continuous time series.

[0100] In detail, the step of obtaining a magnetic path based on the plurality of pure irons and the plurality of magnetic steels includes:

[0101] Obtaining magnetic steel side lengths of a plurality of magnetic steels, wherein the magnetic steel side lengths of each magnetic steel in the plurality of magnetic steels are the same, the magnetic steels are cubes, and the plurality of magnetic steels are two magnetic steels;

[0102] Arranging the plurality of pieces of pure iron in a rectangular orientation based on the side length of the magnetic steel to obtain a rectangular magnetic conductive group, wherein the pure iron is L-shaped pure iron;

[0103] Confirm the N-pole conductive magnet group and the S-pole conductive magnet group in the rectangular conductive magnet group, wherein the N-pole conductive magnet group and the S-pole conductive magnet group each include two pieces of pure iron, and the two pieces of pure iron are provided with a gap, and the gap is the same as the side length of the magnetic steel;

[0104] Two magnets are respectively inserted into the N-pole magnet group and the S-pole magnet group to obtain a magnetic path, wherein in the magnetic path, there is a magnet in the interval between the two pure irons corresponding to the N-pole magnet group, and the two side surfaces of the cube of the magnet form contact surfaces with the two pure irons respectively.

[0105] It should be explained that the step of obtaining the side lengths of multiple magnets is: using a measuring tool to measure the side lengths of the magnets. For example, Xiao Zhang used a micrometer to measure the side lengths of the magnets. Rectangular orientation placement refers to the operation of arranging multiple pieces of pure iron in a rectangular geometric shape, which is used to construct a closed magnetic conductive path, providing a basis for subsequent magnetic steel insertion and magnetic path formation. A rectangular magnetic conductive group refers to an integral structure formed by arranging multiple pieces of L-shaped pure iron in a rectangular shape. An N-pole magnet group refers to a group consisting of two L-shaped pure irons, forming an area for placing N-pole magnets. An S-pole magnet group refers to a group consisting of two L-shaped pure irons, forming an area for placing S-pole magnets. The steps of inserting two magnets into the N-pole magnet group and the S-pole magnet group, respectively, to obtain a magnetic path are: inserting the two magnets into the gaps between the two pieces of pure iron in the N-pole magnet group and the S-pole magnet group, respectively, to obtain a magnetic path. The magnetic path refers to the closed magnetic field path formed in a rectangular magnetic conductive group by inserting two magnetic steels into the N-pole magnetic conductive group and the S-pole magnetic conductive group respectively.

[0106] S3. Extracting one sound signal from the multiple sound signals in turn, and performing the following operations on each of the extracted sound signals: in a silent environment, obtaining an induced electromotive force based on the sound signal, adjusting a sound pickup device and a magnetic field.

[0107] Specifically, the induced electromotive force includes a plurality of induced electromotive force values.

[0108] In detail, the step of obtaining the induced electromotive force based on the sound signal, adjusting the sound pickup device and the magnetic field includes:

[0109] Get the magnetic field strength;

[0110] The sound signal is used to detect the vibration frequency and amplitude of the aluminum tape in the calibration pickup device to obtain the sound vibration frequency and the sound vibration amplitude, and the measurement time of the vibration frequency and amplitude detection of the aluminum tape in the calibration pickup device is recorded, and the sound movement speed is obtained according to the sound vibration frequency, the sound vibration amplitude and the measurement time;

[0111] The induced electromotive force of the sound signal is calculated using the sound movement speed and the magnetic field strength, wherein the calculation formula of the induced electromotive force is as follows:

[0112]

[0113]

[0114] Among them, E represents the induced electromotive force, B represents the magnetic field strength, F represents the sound vibration amplitude, π represents the circumference, f1 represents the sound vibration frequency, V represents the speed of sound movement, ρ represents the air density, and c represents the speed of sound. represents the damping coefficient of the aluminum strip, s represents the measurement time, and τ represents the time constant.

[0115] It should be explained that vibration frequency detection refers to the operation of detecting the vibration frequency and vibration amplitude of the sound signal through the aluminum tape. Sound vibration frequency refers to the change in the number of vibration cycles of the sound signal per unit time. Sound vibration amplitude refers to the amplitude of the sound signal. The measurement time refers to the time point recorded during the vibration frequency detection process. The speed of sound movement refers to the propagation speed of sound vibration. The speed of sound refers to the propagation speed of sound waves in the medium, which is an inherent property of sound wave propagation. The damping coefficient of the aluminum tape refers to the coefficient of the degree of energy dissipation of the aluminum tape during the vibration process, which affects the vibration amplitude and stability. The larger the damping coefficient of the aluminum tape, the more energy is lost during the vibration process, resulting in a decrease in the vibration amplitude. The smaller the damping coefficient of the aluminum tape, the less energy is lost during the vibration process, resulting in an increase in the vibration amplitude.

[0116] In detail, obtaining the magnetic field strength includes:

[0117] Acquire a magnetic field strength detection point set according to the magnetic path and a preset detection interval;

[0118] A target magnetic field strength detection point is extracted from the magnetic field strength detection point set in turn, and the following operations are performed on each of the extracted target magnetic field strength detection points:

[0119] Obtaining magnetic field parameters of the target magnetic field strength detection point, wherein the magnetic field parameters include: magnetic field strength value and position coordinates, and the magnetic field strength value and the position coordinates correspond one to one;

[0120] Summarize the magnetic field parameters to obtain a magnetic field parameter set;

[0121] Draw a magnetic field intensity distribution diagram according to the magnetic field parameter set, extract a maximum magnetic field intensity value and a minimum magnetic field intensity value from the magnetic field intensity distribution diagram, and obtain an intensity difference value based on the maximum magnetic field intensity value and the minimum magnetic field intensity value, wherein an XOY plane of the magnetic field intensity distribution diagram is a position coordinate and a Z axis is a magnetic field intensity value;

[0122] Comparing the intensity difference with a preset intensity threshold;

[0123] If the intensity difference is greater than or equal to a preset intensity threshold, check whether there is a magnetic object in the magnetic path; if it is confirmed that there is a magnetic object in the magnetic path, remove the magnetic object to obtain an updated magnetic path, obtain an updated magnetic field parameter set based on the updated magnetic path, take the updated magnetic field parameter set as the magnetic field parameter set, and return to the step of drawing a magnetic field intensity distribution map according to the magnetic field parameter set until the intensity difference is less than the preset intensity threshold;

[0124] If the intensity difference is less than a preset intensity threshold, the average value of all magnetic field intensity values ​​in the magnetic field parameter set is calculated, and the average value is confirmed as the magnetic field intensity.

[0125] It should be explained that the step of obtaining a magnetic field strength detection point set according to the magnetic path and the preset detection interval is: in the magnetic path, obtain the magnetic field strength detection point according to the detection interval, summarize the magnetic field strength detection points, and obtain the magnetic field strength detection point set. The target magnetic field strength detection point refers to a detection point extracted in sequence from the magnetic field strength detection point set. The magnetic field strength distribution diagram is a graph established in a spatial rectangular coordinate system. Exemplarily, the XOY plane of the magnetic field strength distribution diagram is the position coordinate and the Z axis is the magnetic field strength value. Assume that in the magnetic field strength distribution diagram, there are coordinates (x, y, z) = (1, 1, a), (1, 1) represents the position coordinate, and a represents the magnetic field strength value.

[0126] It should be explained that the magnetic field parameter set refers to a set consisting of all magnetic field parameters. The step of drawing a magnetic field intensity distribution diagram according to the magnetic field parameter set is: importing the magnetic field parameter set into a drawing tool to draw a magnetic field intensity distribution diagram. The intensity threshold refers to a pre-set value. A magnetic object refers to an object that can be attracted or repelled by a magnetic field. Updating the magnetic path refers to a new magnetic field path after removing the magnetic object. Updating the magnetic field parameter set refers to a set of magnetic field intensity values ​​and position coordinates reacquired in the updated magnetic path. The step of obtaining an updated magnetic field parameter set based on the updated magnetic path is the same as the step of obtaining the magnetic field parameters of the target magnetic field intensity detection point, which will not be repeated here.

[0127] S4. Obtain the total resistance in the magnetic path, obtain the induced current ratio based on the induced electromotive force and the total resistance, use the induced current ratio to obtain the sound current signal, convert the sound current signal to obtain a sound voltage signal, perform filtering on the sound voltage signal, and amplify the filtered sound voltage signal to obtain an analog sound voltage signal.

[0128] It should be explained that the step of obtaining the total resistance in the magnetic circuit is: using a resistance measuring instrument to measure the total resistance in the magnetic circuit. The step of converting the sound current signal to obtain the sound voltage signal is: using a resistance-voltage converter to convert the sound current signal to obtain the sound voltage signal. The resistance-voltage converter described in the embodiment of the present invention is a prior art and will not be described in detail here.

[0129] Importantly, the step of performing a filtering operation on the sound voltage signal is: performing a filtering operation on the sound voltage signal using a bandpass filter. The step of performing a filtering operation on the sound voltage signal using a bandpass filter described in the embodiment of the present invention is a prior art and will not be repeated here. The step of amplifying the filtered sound voltage signal to obtain an analog sound voltage signal is: amplifying the filtered sound voltage signal using an amplifier to obtain an analog sound voltage signal. The analog sound voltage signal refers to the amplified voltage signal.

[0130] S5. Performing digital conversion on the analog sound voltage signal to obtain a sound digital signal, and obtaining a sound spectrum diagram based on the sound digital signal.

[0131] Specifically, the horizontal axis of the sound spectrum diagram is time and the vertical axis is frequency.

[0132] It should be explained that signal digital conversion refers to the operation of converting an analog sound voltage signal into a digital signal. The step of obtaining a sound spectrum diagram based on a sound digital signal is: dividing the sound digital signal into a plurality of non-overlapping short time windows, performing a fast Fourier transform on the signal in each window to obtain a window spectrum, and combining the spectrum of each window to form a spectrum diagram.

[0133] S6. Calculate the total harmonic distortion value of the sound spectrum graph, calculate the clarity index of the sound spectrum graph, and obtain the comprehensive sound signal value according to the total harmonic distortion value and the clarity index.

[0134] It should be explained that the step of obtaining the comprehensive sound signal value according to the total harmonic distortion value and the clarity index is: adding the total harmonic distortion value and the clarity index to obtain the comprehensive sound signal value. The comprehensive sound signal value refers to a comprehensive evaluation value obtained by adding the total harmonic distortion value and the clarity index.

[0135] In detail, the calculation of the total harmonic distortion value of the sound spectrum graph includes:

[0136] Obtaining fundamental frequency and harmonic order based on the sound spectrum, and obtaining harmonic frequency set based on the fundamental frequency and harmonic order;

[0137] Obtaining a fundamental frequency amplitude and a harmonic frequency amplitude set based on the fundamental frequency and the harmonic frequency set, wherein each harmonic frequency in the harmonic frequency set corresponds to a harmonic frequency amplitude;

[0138] The total harmonic distortion value of the sound spectrum is calculated using the pre-built total harmonic distortion formula, the fundamental frequency amplitude, and the harmonic frequency amplitude set, where the total harmonic distortion formula is as follows:

[0139]

[0140] Among them, THD represents the total harmonic distortion value, n represents the harmonic order, U n It represents the amplitude of the nth order harmonic frequency, and U1 represents the amplitude of the fundamental wave.

[0141] It should be understood that the step of obtaining the fundamental frequency and harmonic order based on the sound spectrum graph is: obtain the frequency peak with the most occurrences according to the sound spectrum graph, and use the frequency peak with the most occurrences as the fundamental frequency, obtain the integer multiples of the fundamental frequency, and use the integer multiples of the fundamental frequency as the harmonic order. The harmonic frequency set refers to a set containing all harmonic frequencies. The step of obtaining the fundamental frequency amplitude and the harmonic frequency amplitude set based on the fundamental frequency and the harmonic frequency set is: find the fundamental frequency amplitude corresponding to the fundamental frequency from the sound spectrum graph, and find the harmonic frequency amplitude set corresponding to the harmonic frequency set. The fundamental frequency amplitude refers to the amplitude corresponding to the fundamental frequency in the sound spectrum graph. The harmonic frequency amplitude set refers to the set consisting of the amplitudes corresponding to all harmonic frequencies in the sound spectrum graph.

[0142] In detail, the calculation of the clarity index of the sound spectrogram includes:

[0143] Extracting the preamble signal segment and the total duration of the sound signal from the sound spectrogram, and obtaining the preamble signal segment energy value based on the preamble signal segment, wherein the preamble signal segment is the signal segment corresponding to 0 milliseconds to 80 milliseconds in the sound spectrogram;

[0144] Extracting a post-signal segment from the sound spectrogram, and obtaining an energy value of the post-signal segment based on the post-signal segment, wherein the post-signal segment is a signal segment corresponding to 80 milliseconds after the sound spectrogram;

[0145] The clarity index is calculated using a pre-built clarity index formula, the total duration of the sound signal, the energy value of the pre-signal segment, and the energy value of the post-signal segment.

[0146] It should be explained that the total duration of the sound signal refers to the total time length of the sound signal from the beginning to the end. The energy value of the pre-signal segment refers to the value calculated by the frequency amplitude corresponding to 0 milliseconds to 80 milliseconds in the sound spectrum. The energy value of the post-signal segment refers to the value calculated by the frequency amplitude corresponding to 80 milliseconds after the sound spectrum. The energy value calculation of the sound implemented in the present invention is a prior art and will not be repeated here. The clarity index refers to an indicator to measure the clarity of the sound signal.

[0147] Furthermore, the clarity index formula is as follows:

[0148]

[0149] Among them, C 80 Represents the clarity index, log 10represents a logarithmic function with base 10, t represents the time variable, x(t) represents the amplitude of the sound signal at time t, T represents the total duration of the sound signal, Indicates the energy value of the preamble segment. Indicates the energy value of the post-signal segment.

[0150] S7. If it is confirmed that the comprehensive sound signal value is less than the preset comprehensive sound signal value threshold, the sound signal is eliminated, the retained sound signal is aggregated to obtain multiple updated sound signals, the multiple updated sound signals are used as multiple sound signals, and the process returns to the step of extracting one sound signal from the multiple sound signals in sequence until the comprehensive sound signal value is greater than or equal to the preset comprehensive sound signal value threshold, and the sound signal is confirmed as a high-fidelity sound signal.

[0151] It should be explained that the comprehensive sound signal value threshold refers to a preset value used to determine whether the sound signal meets the high-fidelity standard. The multi-segment updated sound signal refers to the sound signal set obtained by re-aggregating after eliminating the signals that do not meet the threshold requirements during the screening process. The high-fidelity sound signal refers to the sound signal whose comprehensive sound signal value is greater than or equal to the preset threshold after screening.

[0152] S8. Aggregate the high-fidelity sound signals to obtain one or more segments of high-fidelity sound signals, and extract the optimal high-fidelity sound signal from the one or more segments of high-fidelity sound signals.

[0153] It should be explained that the maximum integrated sound signal value refers to the value with the highest integrated sound signal value among multiple high-fidelity sound signals.

[0154] S9, completes intelligent control for high-fidelity aluminum ribbon pickup device based on optimal high-fidelity sound signal.

[0155] It should be explained that the optimal high-fidelity sound signal refers to a sound signal with the largest comprehensive sound signal value among one or more high-fidelity sound signals, and the comprehensive sound signal value is greater than or equal to a preset comprehensive sound signal value threshold.

[0156] The present invention is to solve the problem described in the background technology. The present invention receives intelligent control instructions, and adjusts the tightness of an aluminum belt of a pre-constructed sound pickup device according to the intelligent control instructions to obtain a calibrated sound pickup device, wherein the sound pickup device includes: an aluminum belt, a calibration device, multiple pieces of pure iron and multiple magnetic steels. The present invention can accurately adjust the tightness of the aluminum belt through the intelligent control instructions to ensure that the vibration characteristics of the aluminum belt reach the optimal state, so that the aluminum belt can more accurately capture the vibration of sound waves and reduce distortion. A magnetic path is obtained according to the multiple pieces of pure iron and multiple magnetic steels, and a magnetic field is obtained according to the magnetic path to confirm a silent environment and obtain multiple sound signals, wherein one sound signal corresponds to a continuous time series. The present invention can optimize the magnetic path by reasonably arranging pure iron and magnetic steel to ensure The uniformity and stability of the magnetic field are maintained, the quality of the induced electromotive force generation is improved, a sound signal is extracted from multiple sound signals in turn, and the following operations are performed on the extracted sound signals: the present invention can ensure that each signal is fully optimized and evaluated by processing the sound signal segment by segment, improve the overall processing quality, and obtain the induced electromotive force based on the sound signal, the adjustment pickup device and the magnetic field in a silent environment, wherein the induced electromotive force includes a plurality of induced electromotive force values. The present invention can accurately obtain the induced electromotive force generated by the vibration of the aluminum strip in a silent environment, reduce noise interference, obtain the total resistance in the magnetic path, obtain the induced current ratio based on the induced electromotive force and the total resistance, and obtain the sound current signal using the induced current ratio. The sound current signal is converted to obtain a sound voltage signal. The present invention converts the current signal into a voltage signal to facilitate subsequent filtering and amplification operations. The sound voltage signal is filtered and the filtered sound voltage signal is amplified to obtain an analog sound voltage signal. The filtering operation of the present invention can remove noise and interference in the signal and improve the purity of the signal. At the same time, the sound signal amplification can enhance the amplitude of the signal. The analog sound voltage signal is digitized to obtain a sound digital signal. A sound spectrum diagram is obtained based on the sound digital signal, wherein the horizontal axis of the sound spectrum diagram is time and the vertical axis is frequency. The present invention can intuitively see the frequency distribution of the sound signal through the sound spectrum diagram, providing data for subsequent evaluation. Support, calculate the total harmonic distortion value of the sound spectrum graph, calculate the clarity index of the sound spectrum graph, obtain the comprehensive sound signal value according to the total harmonic distortion value and the clarity index, the present invention can evaluate the distortion degree of the signal through the total harmonic distortion value to ensure the high fidelity of the signal, the clarity index can evaluate the clarity and details of the signal to ensure the high quality of the signal, if it is confirmed that the comprehensive sound signal value is less than the preset comprehensive sound signal value threshold, the sound signal is eliminated, the retained sound signal is aggregated to obtain multiple updated sound signals, the multiple updated sound signals are multiple sound signals, and the step of extracting one sound signal from the multiple sound signals in turn is returned until the comprehensive sound signal value is greater than or equal to the preset comprehensive sound signal value threshold,The sound signal is confirmed as a high-fidelity sound signal. The present invention automatically filters out sound signals that do not meet the quality requirements by setting a threshold, ensuring that the sound signals finally retained are of high quality, and summarizing the high-fidelity sound signals to obtain one or more high-fidelity sound signals. The optimal high-fidelity sound signal is extracted from one or more high-fidelity sound signals. The present invention selects the high-fidelity sound signal corresponding to the maximum comprehensive sound signal value to ensure that the final selected sound signal is of the highest quality. Based on the optimal high-fidelity sound signal, the intelligent control of the high-fidelity aluminum ribbon pickup device is completed. The present invention adjusts the parameters such as the aluminum ribbon tension and the magnetic field configuration in real time according to the optimal sound signal to ensure a continuous high-fidelity pickup effect. Therefore, the present invention can achieve higher-quality audio pickup and transmission, improve work efficiency and reduce human resources. ,

[0157] like Figure 2 , which is a functional module diagram of an intelligent control system for a high-fidelity aluminum ribbon pickup device provided by an embodiment of the present invention.

[0158] The intelligent control system 100 for a high-fidelity aluminum ribbon pickup device of the present invention can be installed in an electronic device. According to the functions to be implemented, the intelligent control system 100 for a high-fidelity aluminum ribbon pickup device can include a pickup device adjustment module 101, a sound spectrum generation module 102, a sound signal quality screening module 103 and an optimal sound signal confirmation module 104. The module of the present invention can also be referred to as a unit, which refers to a series of computer program segments that can be executed by an electronic device processor and can complete fixed functions, which are stored in the memory of the electronic device;

[0159] The pickup device calibration module 101 is used to receive an intelligent control instruction, and adjust the tightness of the aluminum belt of the pre-built pickup device according to the intelligent control instruction to obtain a calibrated pickup device, wherein the pickup device includes: an aluminum belt, a calibration device, multiple pieces of pure iron and multiple magnetic steels, a magnetic path is obtained according to the multiple pieces of pure iron and multiple magnetic steels, a magnetic field is obtained according to the magnetic path, a silent environment is confirmed, and multiple sound signals are obtained, wherein one sound signal corresponds to a continuous time series;

[0160] The sound spectrum diagram generation module 102 is used to sequentially extract a sound signal from multiple sound signals, and perform the following operations on the extracted sound signals: in a silent environment, based on the sound signal, the sound pickup device and the magnetic field, obtain an induced electromotive force, wherein the induced electromotive force includes multiple induced electromotive force values, obtain the total resistance in the magnetic path, obtain the induced current ratio based on the induced electromotive force and the total resistance, obtain the sound current signal using the induced current ratio, perform signal conversion on the sound current signal to obtain a sound voltage signal, perform filtering operation on the sound voltage signal, and perform signal amplification on the filtered sound voltage signal to obtain an analog sound voltage signal, perform signal digital conversion on the analog sound voltage signal to obtain a sound digital signal, and obtain a sound spectrum diagram based on the sound digital signal, wherein the horizontal axis of the sound spectrum diagram is time and the vertical axis is frequency;

[0161] The sound signal quality screening module 103 is used to calculate the total harmonic distortion value of the sound spectrum graph, calculate the clarity index of the sound spectrum graph, obtain the comprehensive sound signal value according to the total harmonic distortion value and the clarity index, and if it is confirmed that the comprehensive sound signal value is less than a preset comprehensive sound signal value threshold, the sound signal is eliminated, the retained sound signal is aggregated to obtain multiple segments of updated sound signals, the multiple segments of updated sound signals are used as multiple segments of sound signals, and the step of sequentially extracting one segment of sound signal from the multiple segments of sound signals is returned until the comprehensive sound signal value is greater than or equal to the preset comprehensive sound signal value threshold, then the sound signal is confirmed as a high-fidelity sound signal, the high-fidelity sound signal is aggregated to obtain one or more segments of high-fidelity sound signals, and the optimal high-fidelity sound signal is extracted from the one or more segments of high-fidelity sound signals;

[0162] The optimal sound signal confirmation module 104 is used to complete intelligent control for the high-fidelity aluminum ribbon pickup device based on the optimal high-fidelity sound signal.

[0163] In detail, the modules in the intelligent control system 100 for the high-fidelity aluminum ribbon pickup device described in the embodiment of the present invention are used in the same manner as described above. Figure 1 The intelligent control method for the high-fidelity aluminum ribbon pickup device described in the invention has the same technical means and can produce the same technical effects, so it will not be repeated here.

[0164] like Figure 3 , which is a schematic diagram of the structure of an electronic device for implementing an intelligent control method for a high-fidelity aluminum ribbon pickup device provided by an embodiment of the present invention.

[0165] The electronic device 1 may include a processor 10, a memory 11 and a bus 12, and may also include a computer program stored in the memory 11 and executable on the processor 10, such as an intelligent control method program for a high-fidelity aluminum ribbon pickup device.

[0166] The memory 11 includes at least one type of readable storage medium, and the readable storage medium includes flash memory, mobile hard disk, multimedia card, card-type memory (for example: SD or DX memory, etc.), magnetic memory, disk, optical disk, etc. The memory 11 may be an internal storage unit of the electronic device 1 in some embodiments, such as a mobile hard disk of the electronic device 1. The memory 11 may also be an external storage device of the electronic device 1 in other embodiments, such as a plug-in mobile hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the electronic device 1. Further, the memory 11 also includes an internal storage unit of the electronic device 1 and an external storage device. The memory 11 can not only be used to store application software and various types of data installed in the electronic device 1, such as the code of the intelligent control method program for the high-fidelity aluminum ribbon pickup device, but also can be used to temporarily store data that has been output or is to be output.

[0167] The processor 10 may be composed of an integrated circuit in some embodiments, for example, a single packaged integrated circuit, or a plurality of packaged integrated circuits with the same or different functions, including one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and combinations of various control chips, etc. The processor 10 is the control core (Control Unit) of the electronic device, and uses various interfaces and lines to connect various components of the entire electronic device, and executes or executes programs or modules stored in the memory 11 (such as intelligent control method programs for high-fidelity aluminum ribbon pickup devices, etc.), and calls data stored in the memory 11 to execute various functions of the electronic device 1 and process data.

[0168] The bus 12 may be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus 12 may be divided into an address bus, a data bus, a control bus, etc. The bus 12 is configured to realize connection and communication between the memory 11 and at least one processor 10, etc.

[0169] Figure 3 Only an electronic device with components is shown, and those skilled in the art will understand that Figure 3 The structure shown does not constitute a limitation on the electronic device 1, and may include fewer or more components than shown in the figure, or combine certain components, or arrange the components differently.

[0170] For example, although not shown, the electronic device 1 may also include a power source (such as a battery) for supplying power to each component. Preferably, the power source may be logically connected to the at least one processor 10 through a power management device, so that the power management device can realize functions such as charging management, discharging management, and power consumption management. The power source may also include any components such as one or more DC or AC power sources, recharging devices, power failure detection circuits, power converters or inverters, power status indicators, etc. The electronic device 1 may also include a variety of sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be repeated here.

[0171] Furthermore, the electronic device 1 may also include a network interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), which is generally used to establish a communication connection between the electronic device 1 and other electronic devices.

[0172] Optionally, the electronic device 1 may further include a user interface, which may be a display, an input unit (such as a keyboard), or a standard wired interface or a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, and an OLED (Organic Light-Emitting Diode) touch device. The display may also be appropriately referred to as a display screen or a display unit, which is used to display information processed in the electronic device 1 and to display a visual user interface.

[0173] The intelligent control method program for the high-fidelity aluminum ribbon pickup device stored in the memory 11 of the electronic device 1 is a combination of multiple instructions. When running in the processor 10, it can achieve:

[0174] Receiving an intelligent control instruction, and adjusting the tightness of the aluminum belt of the pre-built sound pickup device according to the intelligent control instruction to obtain a calibrated sound pickup device, wherein the sound pickup device includes: an aluminum belt, a calibrating device, a plurality of pure irons, and a plurality of magnetic steels;

[0175] Obtaining a magnetic path according to the plurality of pure irons and the plurality of magnetic steels, obtaining a magnetic field according to the magnetic path, confirming a silent environment, and obtaining a plurality of sound signals, wherein one sound signal corresponds to a continuous time series;

[0176] Extract a sound signal from multiple sound signals one by one, and perform the following operations on the extracted sound signals:

[0177] In a silent environment, obtaining an induced electromotive force based on the sound signal, adjusting the sound pickup device and the magnetic field, wherein the induced electromotive force includes a plurality of induced electromotive force values;

[0178] Obtaining the total resistance in the magnetic path, obtaining the induced current ratio based on the induced electromotive force and the total resistance, obtaining the sound current signal using the induced current ratio, and performing signal conversion on the sound current signal to obtain the sound voltage signal;

[0179] Performing a filtering operation on the sound voltage signal, and amplifying the filtered sound voltage signal to obtain an analog sound voltage signal;

[0180] Performing signal digital conversion on the analog sound voltage signal to obtain a sound digital signal, and obtaining a sound spectrum diagram based on the sound digital signal, wherein the horizontal axis of the sound spectrum diagram is time and the vertical axis is frequency;

[0181] Calculating a total harmonic distortion value of a sound spectrum graph, calculating a clarity index of the sound spectrum graph, and obtaining a comprehensive sound signal value according to the total harmonic distortion value and the clarity index;

[0182] If it is confirmed that the comprehensive sound signal value is less than the preset comprehensive sound signal value threshold, the sound signal is discarded, the retained sound signal is aggregated to obtain multiple updated sound signals, the multiple updated sound signals are used as multiple sound signals, and the step of sequentially extracting one sound signal from the multiple sound signals is returned until the comprehensive sound signal value is greater than or equal to the preset comprehensive sound signal value threshold, and the sound signal is confirmed as a high-fidelity sound signal;

[0183] Aggregating high-fidelity sound signals to obtain one or more segments of high-fidelity sound signals, and extracting an optimal high-fidelity sound signal from the one or more segments of high-fidelity sound signals;

[0184] Intelligent control of the Hi-Fi ribbon pickup based on the optimal Hi-Fi sound signal.

[0185] Specifically, the specific implementation method of the processor 10 for the above instructions can refer to Figures 1 to 4 The description of the relevant steps in the corresponding embodiments will not be repeated here.

[0186] Furthermore, if the module / unit integrated in the electronic device 1 is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. The computer-readable storage medium can be volatile or non-volatile. For example, the computer-readable medium can include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, and a read-only memory (ROM).

[0187] The present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor of an electronic device, the computer program can implement:

[0188] Receiving an intelligent control instruction, and adjusting the tightness of the aluminum belt of the pre-built sound pickup device according to the intelligent control instruction to obtain a calibrated sound pickup device, wherein the sound pickup device includes: an aluminum belt, a calibrating device, a plurality of pure irons, and a plurality of magnetic steels;

[0189] Obtaining a magnetic path according to the plurality of pure irons and the plurality of magnetic steels, obtaining a magnetic field according to the magnetic path, confirming a silent environment, and obtaining a plurality of sound signals, wherein one sound signal corresponds to a continuous time series;

[0190] Extract a sound signal from multiple sound signals one by one, and perform the following operations on the extracted sound signals:

[0191] In a silent environment, obtaining an induced electromotive force based on the sound signal, adjusting the sound pickup device and the magnetic field, wherein the induced electromotive force includes a plurality of induced electromotive force values;

[0192] Obtaining the total resistance in the magnetic path, obtaining the induced current ratio based on the induced electromotive force and the total resistance, obtaining the sound current signal using the induced current ratio, and performing signal conversion on the sound current signal to obtain the sound voltage signal;

[0193] Performing a filtering operation on the sound voltage signal, and amplifying the filtered sound voltage signal to obtain an analog sound voltage signal;

[0194] Performing signal digital conversion on the analog sound voltage signal to obtain a sound digital signal, and obtaining a sound spectrum diagram based on the sound digital signal, wherein the horizontal axis of the sound spectrum diagram is time and the vertical axis is frequency;

[0195] Calculating a total harmonic distortion value of a sound spectrum graph, calculating a clarity index of the sound spectrum graph, and obtaining a comprehensive sound signal value according to the total harmonic distortion value and the clarity index;

[0196] If it is confirmed that the comprehensive sound signal value is less than the preset comprehensive sound signal value threshold, the sound signal is discarded, the retained sound signal is aggregated to obtain multiple updated sound signals, the multiple updated sound signals are used as multiple sound signals, and the step of sequentially extracting one sound signal from the multiple sound signals is returned until the comprehensive sound signal value is greater than or equal to the preset comprehensive sound signal value threshold, and the sound signal is confirmed as a high-fidelity sound signal;

[0197] Aggregating high-fidelity sound signals to obtain one or more segments of high-fidelity sound signals, and extracting an optimal high-fidelity sound signal from the one or more segments of high-fidelity sound signals;

[0198] Intelligent control of the Hi-Fi ribbon pickup based on the optimal Hi-Fi sound signal.

[0199] In the several embodiments provided by the present invention, it should be understood that the disclosed devices, systems and methods can be implemented in other ways. For example, the system embodiments described above are only illustrative, and actual implementation may have other division methods.

[0200] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0201] In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0202] It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0203] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. An intelligent control method for a high-fidelity aluminum ribbon pickup device, characterized in that: The method comprises: Receiving an intelligent control instruction, and adjusting the tightness of the aluminum belt of the pre-built sound pickup device according to the intelligent control instruction to obtain a calibrated sound pickup device, wherein the sound pickup device includes: an aluminum belt, a calibrating device, a plurality of pure irons, and a plurality of magnetic steels; Obtaining a magnetic path according to the plurality of pure irons and the plurality of magnetic steels, obtaining a magnetic field according to the magnetic path, confirming a silent environment, and obtaining a plurality of sound signals, wherein one sound signal corresponds to a continuous time series; Extract a sound signal from multiple sound signals one by one, and perform the following operations on the extracted sound signals: In a silent environment, obtaining an induced electromotive force based on the sound signal, adjusting the sound pickup device and the magnetic field, wherein the induced electromotive force includes a plurality of induced electromotive force values; Obtaining the total resistance in the magnetic path, obtaining the induced current ratio based on the induced electromotive force and the total resistance, obtaining the sound current signal using the induced current ratio, and performing signal conversion on the sound current signal to obtain the sound voltage signal; Performing a filtering operation on the sound voltage signal, and amplifying the filtered sound voltage signal to obtain an analog sound voltage signal; Performing signal digital conversion on the analog sound voltage signal to obtain a sound digital signal, and obtaining a sound spectrum diagram based on the sound digital signal, wherein the horizontal axis of the sound spectrum diagram is time and the vertical axis is frequency; Calculating a total harmonic distortion value of a sound spectrum graph, calculating a clarity index of the sound spectrum graph, and obtaining a comprehensive sound signal value according to the total harmonic distortion value and the clarity index; If it is confirmed that the comprehensive sound signal value is less than the preset comprehensive sound signal value threshold, the sound signal is discarded, the retained sound signal is aggregated to obtain multiple updated sound signals, the multiple updated sound signals are used as multiple sound signals, and the step of sequentially extracting one sound signal from the multiple sound signals is returned until the comprehensive sound signal value is greater than or equal to the preset comprehensive sound signal value threshold, and the sound signal is confirmed as a high-fidelity sound signal; Aggregating high-fidelity sound signals to obtain one or more segments of high-fidelity sound signals, and extracting an optimal high-fidelity sound signal from the one or more segments of high-fidelity sound signals; Intelligent control of the Hi-Fi ribbon pickup based on the optimal Hi-Fi sound signal.

2. The intelligent control method for a high-fidelity aluminum ribbon pickup device according to claim 1, characterized in that: The method of adjusting the tightness of the aluminum belt of the pre-built sound pickup device according to the intelligent control instruction to obtain the calibrated sound pickup device includes: Acquire a target vibration frequency and a target vibration amplitude according to the intelligent control instruction; The adjustment device is used to adjust the tightness of the aluminum belt in the sound pickup device to obtain an initially adjusted sound pickup device, and the initial tension value of the initially adjusted sound pickup device is calculated according to the target vibration frequency and the target vibration amplitude; If the initial tension value is within the preset standard tension value range, the initial adjustment sound pickup device corresponding to the initial tension value is confirmed as the adjustment sound pickup device; If the initial tension value is not within the preset standard tension value range, return to the step of using the adjustment device to adjust the tightness of the aluminum ribbon in the sound pickup device until the initial tension value is within the preset standard tension value range, thereby obtaining a calibrated sound pickup device.

3. The intelligent control method for a high-fidelity aluminum ribbon pickup device according to claim 2, characterized in that: The method of calculating the initial tension value of the initial adjustment sound pickup device according to the target vibration frequency and the target vibration amplitude includes: Calculate the initial tension value of the initial tuning pickup device using a pre-built aluminum strip tension value formula, a target vibration frequency, and a target vibration amplitude; Among them, the formula for the tension value of the aluminum strip is as follows: in, Indicates the initial tension value, represents the target vibration amplitude, Indicates the length of the aluminum strip, represents the frequency correction factor, represents the target vibration frequency, Indicates the linear density of aluminum strip, represents the amplitude correction factor, represents the temperature compensation coefficient, Indicates the current ambient temperature. represents the humidity compensation coefficient, Indicates the current ambient humidity. Represents the base of natural logarithms.

4. The intelligent control method for a high-fidelity aluminum ribbon pickup device according to claim 3, characterized in that: The step of obtaining a magnetic path based on the plurality of pure irons and the plurality of magnetic steels comprises: Obtaining magnetic steel side lengths of a plurality of magnetic steels, wherein the magnetic steel side lengths of each magnetic steel in the plurality of magnetic steels are the same, the magnetic steels are cubes, and the plurality of magnetic steels are two magnetic steels; Arranging the plurality of pieces of pure iron in a rectangular orientation based on the side length of the magnetic steel to obtain a rectangular magnetic conductive group, wherein the pure iron is L-shaped pure iron; Confirm the N-pole conductive magnet group and the S-pole conductive magnet group in the rectangular conductive magnet group, wherein the N-pole conductive magnet group and the S-pole conductive magnet group each include two pieces of pure iron, and the two pieces of pure iron are provided with a gap, and the gap is the same as the side length of the magnetic steel; Two magnets are respectively inserted into the N-pole magnet group and the S-pole magnet group to obtain a magnetic path, wherein in the magnetic path, there is a magnet in the interval between the two pure irons corresponding to the N-pole magnet group, and the two side surfaces of the cube of the magnet form contact surfaces with the two pure irons respectively.

5. The intelligent control method for a high-fidelity aluminum ribbon pickup device according to claim 4, characterized in that: The method of obtaining the induced electromotive force based on the sound signal, adjusting the sound pickup device and the magnetic field includes: Get the magnetic field strength; The sound signal is used to detect the vibration frequency and amplitude of the aluminum tape in the calibration pickup device to obtain the sound vibration frequency and the sound vibration amplitude, and the measurement time of the vibration frequency and amplitude detection of the aluminum tape in the calibration pickup device is recorded, and the sound movement speed is obtained according to the sound vibration frequency, the sound vibration amplitude and the measurement time; The induced electromotive force of the sound signal is calculated using the sound movement speed and the magnetic field strength, wherein the calculation formula of the induced electromotive force is as follows: in, represents the induced electromotive force, represents the magnetic field strength, Represents the amplitude of sound vibration, represents pi, Represents the frequency of sound vibration, The speed of sound movement, represents the air density, represents the speed of sound, represents the damping coefficient of the aluminum strip, Indicates the measurement time, Represents the time constant.

6. The intelligent control method for a high-fidelity aluminum ribbon pickup device according to claim 5, characterized in that: The obtaining of magnetic field strength comprises: Acquire a magnetic field strength detection point set according to the magnetic path and a preset detection interval; A target magnetic field strength detection point is extracted from the magnetic field strength detection point set in turn, and the following operations are performed on each of the extracted target magnetic field strength detection points: Obtaining magnetic field parameters of the target magnetic field strength detection point, wherein the magnetic field parameters include: magnetic field strength value and position coordinates, and the magnetic field strength value and the position coordinates correspond one to one; Summarize the magnetic field parameters to obtain a magnetic field parameter set; Draw a magnetic field intensity distribution diagram according to the magnetic field parameter set, extract a maximum magnetic field intensity value and a minimum magnetic field intensity value from the magnetic field intensity distribution diagram, and obtain an intensity difference value based on the maximum magnetic field intensity value and the minimum magnetic field intensity value, wherein an XOY plane of the magnetic field intensity distribution diagram is a position coordinate and a Z axis is a magnetic field intensity value; Comparing the intensity difference with a preset intensity threshold; If the intensity difference is greater than or equal to a preset intensity threshold, check whether there is a magnetic object in the magnetic path; if it is confirmed that there is a magnetic object in the magnetic path, remove the magnetic object to obtain an updated magnetic path, obtain an updated magnetic field parameter set based on the updated magnetic path, take the updated magnetic field parameter set as the magnetic field parameter set, and return to the step of drawing a magnetic field intensity distribution map according to the magnetic field parameter set until the intensity difference is less than the preset intensity threshold; If the intensity difference is less than a preset intensity threshold, the average value of all magnetic field intensity values ​​in the magnetic field parameter set is calculated, and the average value is confirmed as the magnetic field intensity.

7. The intelligent control method for a high-fidelity aluminum ribbon pickup device according to claim 6, characterized in that: The calculating of the total harmonic distortion value of the sound spectrum graph comprises: Obtaining fundamental frequency and harmonic order based on the sound spectrum, and obtaining harmonic frequency set based on the fundamental frequency and harmonic order; Obtaining a fundamental frequency amplitude and a harmonic frequency amplitude set based on the fundamental frequency and the harmonic frequency set, wherein each harmonic frequency in the harmonic frequency set corresponds to a harmonic frequency amplitude; The total harmonic distortion value of the sound spectrum is calculated using the pre-built total harmonic distortion formula, the fundamental frequency amplitude, and the harmonic frequency amplitude set, where the total harmonic distortion formula is as follows: in, Indicates the total harmonic distortion value, represents the harmonic order, Indicates The order harmonic frequency amplitude, Indicates the fundamental amplitude.

8. The intelligent control method for a high-fidelity aluminum ribbon pickup device according to claim 7, characterized in that: The step of calculating the clarity index of the sound spectrum graph comprises: Extracting the preamble signal segment and the total duration of the sound signal from the sound spectrogram, and obtaining the preamble signal segment energy value based on the preamble signal segment, wherein the preamble signal segment is the signal segment corresponding to 0 milliseconds to 80 milliseconds in the sound spectrogram; Extracting a post-signal segment from the sound spectrogram, and obtaining an energy value of the post-signal segment based on the post-signal segment, wherein the post-signal segment is a signal segment corresponding to 80 milliseconds after the sound spectrogram; The clarity index is calculated using a pre-built clarity index formula, the total duration of the sound signal, the energy value of the pre-signal segment, and the energy value of the post-signal segment.

9. The intelligent control method for a high-fidelity aluminum ribbon pickup device according to claim 8, characterized in that: The clarity index formula is as follows: in, represents the clarity index, represents the logarithmic function with base 10, represents the time variable, Indicates time The sound signal amplitude at Indicates the total duration of the sound signal. Indicates the energy value of the preamble segment. Indicates the energy value of the post-signal segment.

10. An intelligent control system for a high-fidelity aluminum ribbon pickup device, characterized in that: The system comprises: A sound pickup device calibration module is used to receive an intelligent control instruction, and adjust the tightness of the aluminum belt of the pre-built sound pickup device according to the intelligent control instruction to obtain a calibrated sound pickup device, wherein the sound pickup device includes: an aluminum belt, a calibration device, multiple pieces of pure iron and multiple magnetic steels, a magnetic path is obtained according to the multiple pieces of pure iron and multiple magnetic steels, a magnetic field is obtained according to the magnetic path, a silent environment is confirmed, and multiple sound signals are obtained, wherein one sound signal corresponds to a continuous time series; A sound spectrum diagram generation module is used to sequentially extract a sound signal from multiple sound signals, and perform the following operations on the extracted sound signals: in a silent environment, based on the sound signal, the sound pickup device and the magnetic field, an induced electromotive force is obtained, wherein the induced electromotive force includes a plurality of induced electromotive force values, the total resistance in the magnetic path is obtained, an induced current ratio is obtained based on the induced electromotive force and the total resistance, a sound current signal is obtained using the induced current ratio, the sound current signal is converted to obtain a sound voltage signal, a filtering operation is performed on the sound voltage signal, and amplification is performed on the filtered sound voltage signal to obtain an analog sound voltage signal, the analog sound voltage signal is converted to a digital signal, and a sound spectrum diagram is obtained based on the sound digital signal, wherein the horizontal axis of the sound spectrum diagram is time and the vertical axis is frequency; A sound signal quality screening module, used for calculating the total harmonic distortion value of the sound spectrum graph, calculating the clarity index of the sound spectrum graph, obtaining a comprehensive sound signal value according to the total harmonic distortion value and the clarity index, and if it is confirmed that the comprehensive sound signal value is less than a preset comprehensive sound signal value threshold, the sound signal is eliminated, the retained sound signal is aggregated to obtain multiple segments of updated sound signals, the multiple segments of updated sound signals are used as multiple segments of sound signals, and the step of sequentially extracting one segment of sound signal from the multiple segments of sound signals is returned until the comprehensive sound signal value is greater than or equal to the preset comprehensive sound signal value threshold, then the sound signal is confirmed as a high-fidelity sound signal, the high-fidelity sound signal is aggregated to obtain one or more segments of high-fidelity sound signals, and the optimal high-fidelity sound signal is extracted from the one or more segments of high-fidelity sound signals; The optimal sound signal confirmation module is used to complete intelligent control for the high-fidelity aluminum ribbon pickup device based on the optimal high-fidelity sound signal.

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