Control Method, System, Device and Storage Medium of an Intelligent Music Fountain

Abstract

The present invention discloses a control method, system, device and storage medium for an intelligent music fountain, which relates to the field of music automation control. The main solutions are as follows: collecting music signal data; respectively calculating the volume, average amplitude frequency, timbre and obtaining a comprehensive index; calculating the frequency transfer value and comparing it with a threshold value to determine the fountain frequency level and shape set; calculating the sum of the amplitude differences between adjacent sampling points and the rhythm intensity index; calculating the music comprehensive characteristic index, comparing it with the threshold value to select the water spraying mode; calculating the comprehensive value of the water spraying mode command according to the music comprehensive characteristic index and the music signal data, and then calculating the nozzle adjustment angle, calculating the light brightness and color value in combination with the rhythm intensity index, and comparing the light color value with the threshold value to select the light color set; this method can automatically adjust the fountain and light effects according to the music characteristics, bringing a more ornamental and artistic audio-visual experience.

Description

Technical Field

[0001] The present invention relates to the technical field of music automation control, and specifically to a control method, system, device and storage medium for an intelligent music fountain. Background Art

[0002] As an art form integrating music, lighting and water scenery, music fountains are becoming increasingly popular in public landscapes and entertainment venues. However, there are still some problems in the current music fountain control technology in terms of accuracy, flexibility and intelligence. For example, traditional music fountains can often only perform simple water spraying and lighting changes according to preset programs, and cannot dynamically adjust in real time and accurately according to various characteristics of music, making it difficult to meet people's needs for richer and more personalized visual and auditory experiences.

[0003] Some existing music fountain control technologies mainly analyze characteristic parameters such as the rhythm and volume of music, and then convert these parameters into signals for controlling the spraying height, water volume, and lighting color and brightness of the fountain. For example, by collecting music signals through an audio sensor and detecting the rhythm of the music, the rotation speed of the water pump can be controlled according to the speed of the rhythm, so as to adjust the spraying speed and height. For the control of lighting, usually the brightness and color changes of the lighting are adjusted according to the rhythm intensity of the music.

[0004] However, the existing music fountain control methods do not extract music characteristics accurately and comprehensively enough. Relying only on a few parameters such as volume and frequency is difficult to accurately reflect important characteristics such as the rhythm of music, and the control in the existing technology is relatively simple and cannot adapt to complex and changeable music types and rhythm changes. For example, for music with strong and fast-changing rhythms, the fountain adjustment control method is single, affecting the viewing effect. Summary of the Invention

[0005] (1) Technical Problems to be Solved

[0006] Aiming at the deficiencies of the existing technology, the present invention provides a control method, system, device and storage medium for an intelligent music fountain. By collecting music signal data, calculating the volume, average amplitude frequency, timbre respectively and obtaining a comprehensive index, calculating the frequency transfer value and comparing it with a threshold; calculating the sum of the amplitude differences between adjacent sampling points and the rhythm intensity index; calculating the music comprehensive characteristic index, comparing it with the threshold to select a water spraying mode; calculating the comprehensive value of the water spraying mode instruction and obtaining the nozzle adjustment angle; calculating the lighting brightness and color value, comparing the lighting color value with the threshold to select a lighting color set, which solves the problem of the single control method of traditional music fountains.

[0007] (2) Technical Solutions

[0008] To achieve the above object, the present invention is realized by the following technical solutions: A control method for an intelligent music fountain, comprising:

[0009] Collect music signal data;

[0010] Based on the music signal data, calculate the volume RMS, average amplitude frequency and timbre TC; According to the volume RMS, average amplitude frequency and timbre TC, calculate the comprehensive index SKI; Based on the music signal data, calculate the frequency transfer value HS; Preset the frequency transfer value threshold, compare the frequency transfer value HS with the frequency transfer value threshold, and judge the frequency level of the fountain according to the result, and select the corresponding fountain shape set;

[0011] According to the music signal data, average amplitude frequency and timbre parameter TC, calculate the sum DL of the amplitude differences of adjacent sampling points; According to the average amplitude frequency and the sum DL of the amplitude differences of adjacent sampling points, calculate the rhythm intensity index R; According to the comprehensive index SKI, frequency transfer value HS and rhythm intensity index R, calculate the music comprehensive feature index I; Preset the music comprehensive feature index threshold, compare the music comprehensive feature index I with the music comprehensive feature index threshold, and select different water spraying modes according to the result;

[0012] According to the music comprehensive feature index I and the music signal data, calculate the comprehensive value P of the water spraying mode command; According to the music comprehensive feature index I and the comprehensive value P of the water spraying mode command, calculate the nozzle adjustment angle θ; According to the rhythm intensity index R and the nozzle adjustment angle θ, calculate the light brightness L, and further obtain the light color value C; Preset the light color value threshold, compare the light color value C with the light color value threshold, and select different light color sets according to the result.

[0013] In the preferred scheme of the above control method for an intelligent music fountain: The method for calculating the comprehensive index SKI is:

[0014] The music signal data includes the amplitude value XI of the audio signal i , amplitude frequency f i and the amplitude value A of the harmonic i ;

[0015] Based on the amplitude value XI i , calculate the volume RMS, and the formula is:

[0016]

[0017] where, XI iis the amplitude value of the audio signal at the i-th sampling time point, where i takes values of 1, 2, 3... n; n is the total number of sampling points and takes positive integer values;

[0018] Based on the amplitude frequency f i Calculate the average amplitude frequency The calculation formula is:

[0019]

[0020] where f i is the amplitude frequency of the audio signal at the i-th sampling time point;

[0021] Based on the amplitude value A of the harmonic i , calculate the timbre parameter TC, and the calculation formula is:

[0022]

[0023] where d is the harmonic attenuation coefficient, and its value ranges from 0 to 1; A i is the amplitude value of the harmonic of the audio signal at the i-th sampling time point;

[0024] According to the volume RMS, average amplitude frequency and timbre parameter TC, calculate the comprehensive index SKI, and the formula is:

[0025]

[0026] where α is the weight coefficient of the volume RMS, and its value ranges from 0.1 to 0.3; β is the weight coefficient of the average amplitude frequency and its value ranges from 0.3 to 0.4; γ is the weight coefficient of the timbre parameter TC, and its value ranges from 0.3 to 0.5; and α + β + γ = 1.

[0027] In the preferred solution of the above control method for an intelligent music fountain: The method for judging the fountain frequency level and selecting different fountain shape sets is:

[0028] The music signal data also includes the Laplace variable SK, the central angular frequency WK, and the quality factor QK;

[0029] According to the Laplace variable SK, the central angular frequency WK, and the quality factor QK, calculate the frequency transfer value HS, and the formula is:

[0030]

[0031] Preset the frequency transfer value threshold;

[0032] The frequency transfer value threshold includes the frequency transfer value threshold one HS1 and the frequency transfer value threshold two HS2;

[0033] When HS ≤ HS1, it is determined that the fountain is at a low frequency level, and the first set of fountain shapes is selected;

[0034] When HS1 < HS ≤ HS2, it is determined that the fountain is at a medium frequency level, and the second set of fountain shapes is selected;

[0035] When HS > HS2, it is determined that the fountain is at a high frequency level, and the third set of fountain shapes is selected.

[0036] In a preferred solution of the above control method for an intelligent music fountain: The method for calculating the rhythm intensity index R is as follows:

[0037] According to the amplitude value XI of the audio signal i and the average amplitude frequency and the timbre parameter TC, calculate the sum DL of the amplitude differences between adjacent sampling points. The calculation formula is:

[0038]

[0039] where, XI i-1 is the amplitude value of the audio signal at the (i - 1)-th sampling time point; is the maximum value of the average amplitude frequency; TC max is the maximum value of the timbre parameter;

[0040] According to the average amplitude frequency and the sum DL of the amplitude differences between adjacent sampling points, calculate the rhythm intensity index R. The calculation formula is:

[0041]

[0042] where, HD is the harmonic coefficient, with a value range of 0 to 1; TR is the time change rate; r is the volume change rate; r max is the maximum volume change rate.

[0043] In a preferred solution of the above control method for an intelligent music fountain: The method for selecting different water spraying modes is as follows:

[0044] According to the comprehensive index SKI, the frequency transfer value HS, and the rhythm intensity index R, calculate the music comprehensive feature index I. The formula is:

[0045] I = ω1 × SKI + ω2 × HS + ω3 × R

[0046] where, ω1 is the weight coefficient of the comprehensive index SKI, with a value range of 0.1 to 0.4; ω2 is the weight coefficient of the frequency transfer value HS, with a value range of 0.2 to 0.5; ω3 is the weight coefficient of the rhythm intensity index R, with a value range of 0.3 to 0.4; and ω1 + ω2 + ω3 = 1;

[0047] Preset the threshold of the comprehensive music feature index;

[0048] The comprehensive index threshold includes the first comprehensive music feature index threshold I1 and the second comprehensive music feature index threshold I2;

[0049] When I ≤ I1, select the first water spraying mode;

[0050] When I1 < I ≤ I2, select the second water spraying mode;

[0051] When I > I2, select the third water spraying mode.

[0052] In a preferred embodiment of the above control method for an intelligent music fountain: The method for calculating the comprehensive value P of the water spraying mode command is:

[0053] The music signal data further includes the minimum water spraying height H min , the maximum water spraying height H max , the minimum water volume W min and the maximum water volume W max ;

[0054] According to the comprehensive music feature index I, the minimum water spraying height H min , the maximum water spraying height H max , the minimum water volume W min and the maximum water volume W max , calculate the comprehensive value P of the water spraying mode command, and the formula is:

[0055]

[0056] where I max is the maximum value of the comprehensive music feature index value.

[0057] In a preferred embodiment of the above control method for an intelligent music fountain: The method for selecting different sets of lighting colors is:

[0058] According to the comprehensive music feature index I and the comprehensive value P of the water spraying mode command, calculate the nozzle adjustment angle θ, and the calculation formula is:

[0059]

[0060] where θ max is the maximum angle of nozzle change; θ min is the minimum angle of nozzle change;

[0061] According to the rhythm intensity index R and the nozzle adjustment angle θ, calculate the lighting brightness L, and the calculation formula is:

[0062] L = L min + R × (L max - L min)×δ×θ

[0063] Among them, L max is the maximum brightness of the light; L min is the minimum brightness of the light; δ is the adjustment coefficient of the nozzle adjustment angle θ, and the value range is 0 to 1;

[0064] Based on the light brightness L, calculate the light color value C, and the calculation formula is:

[0065]

[0066] Preset the light color value threshold;

[0067] The light color value threshold includes the first light color value threshold C1 and the second light color value threshold C2;

[0068] When C ≤ C1, select the first light color set;

[0069] When C1 < C ≤ C2, select the second light color set;

[0070] When C > C2, select the third light color set.

[0071] The present invention also discloses a control system for an intelligent music fountain, which is used to implement the control method of the above-mentioned intelligent music fountain, and includes:

[0072] A data receiving module, which is used to collect music signal data;

[0073] A data analysis module, which is used to calculate the volume RMS, average amplitude frequency and timbre TC based on the music signal data; calculate the comprehensive index SKI according to the volume RMS, average amplitude frequency and timbre TC; calculate the frequency transfer value HS based on the music signal data; preset the frequency transfer value threshold, compare the frequency transfer value HS with the frequency transfer value threshold, and judge the frequency level of the fountain according to the result, and select the corresponding fountain shape set;

[0074] An instruction generation module, which is used to calculate the sum of the amplitude differences DL between adjacent sampling points according to the music signal data, average amplitude frequency and timbre parameter TC; calculate the rhythm intensity index R according to the average amplitude frequency and the sum of the amplitude differences DL between adjacent sampling points; calculate the music comprehensive feature index I according to the comprehensive index SKI, frequency transfer value HS and rhythm intensity index R; preset the music comprehensive feature index threshold, compare the music comprehensive feature index I with the music comprehensive feature index threshold, and select different water spraying modes according to the result;

[0075] A control module, configured to calculate a comprehensive value P of a water spraying mode command according to a comprehensive music feature index I and music signal data; calculate a nozzle adjustment angle θ according to the comprehensive music feature index I and the comprehensive value P of the water spraying mode command; calculate a light brightness L according to a rhythm intensity index R and the nozzle adjustment angle θ, and further obtain a light color value C; preset a threshold value of the light color value, compare the light color value C with the threshold value of the light color value, and select different light color sets according to the result.

[0076] The present invention also discloses a control device for an intelligent music fountain, including a processor and a memory, where the memory stores a computer program, and the processor can implement the control method of the intelligent music fountain when executing the computer program.

[0077] The present invention also discloses a control storage medium for an intelligent music fountain, where the storage medium stores a computer program, and the computer program implements the control method of the intelligent music fountain when executed by a processor.

[0078] (III) Beneficial effects

[0079] The present invention provides a control method, system, device and storage medium for an intelligent music fountain, having the following beneficial effects:

[0080] (1) By collecting music signal data and calculating basic parameters such as volume, average amplitude frequency and timbre based on the music signal data, the basic characteristics of music can be comprehensively quantified. These basic parameters provide a data basis for further in-depth analysis of music and control of fountain and lighting effects.

[0081] (2) Calculating the frequency transfer value and comparing it with a preset threshold to determine the frequency level of the fountain, and then selecting the corresponding set of fountain shapes, realizes the close combination of the fountain shape and the music frequency characteristics. Different fountain shapes can echo the frequency changes of the music, making the fountain performance more diverse and layered.

[0082] (3) Calculating the sum of the amplitude differences between adjacent sampling points according to the audio signal amplitude value, average amplitude frequency and timbre parameters, and then obtaining the rhythm intensity index, and calculating the comprehensive music feature index in combination with the volume and frequency transfer value to select the water spraying mode, can make the water spraying mode of the fountain closely match the rhythm of the music. The water spraying height, water volume and change frequency of the fountain can be dynamically adjusted according to the speed and strength of the music rhythm, making the fountain performance more vivid and perfectly integrated with the music.

[0083] (4) Calculate the comprehensive value of the water spraying mode command and the nozzle adjustment angle through the comprehensive music feature index and music signal data, and calculate the light brightness and color value in combination with the rhythm intensity index, realizing the coordination of the light effect with music and fountain. The brightness and color of the light can change according to the characteristics of the music such as rhythm, volume, and frequency, creating a more colorful audio-visual atmosphere. Preset the light color value threshold and select different light color sets to make the light effect present appropriate colors at different stages of the music, enhancing the appeal and ornamental value of the performance. Brief Description of the Drawings

[0084] Figure 1 It is a schematic diagram of the steps of a control method for an intelligent music fountain according to the present invention. Detailed Embodiment

[0085] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0086] Please refer to Figure 1 , the present invention provides a control method for an intelligent music fountain, including:

[0087] Step 1: Collect music signal data.

[0088] Step 101: Select a microphone with high sensitivity and a wide frequency response range; use Audacity audio acquisition software to set the sampling frequency and sampling accuracy. Start the device playing music, and at the same time click the start recording button in the Audacity acquisition software. The software will convert the music signal input by the microphone into a digital signal and store it in the computer, thereby obtaining music signal data.

[0089] By collecting music signal data, the water spraying mode and light effect of the fountain can be perfectly matched with the music.

[0090] Step 2: Based on the music signal data, calculate the volume RMS, average amplitude frequency and timbre TC; according to the volume RMS, average amplitude frequency and timbre TC, calculate the comprehensive index SKI; based on the music signal data, calculate the frequency transfer value HS; preset the frequency transfer value threshold, compare the frequency transfer value HS with the frequency transfer value threshold, and judge the frequency level of the fountain according to the result, and select the corresponding fountain shape set.

[0091] Step 201: Use a microphone to convert the sound signal into an electrical signal, and then convert the electrical signal into a digital signal through an ADC analog-to-digital converter. In the digital domain, the value corresponding to each sampling point is the amplitude value of the audio signal at that moment. For example, for 16-bit audio sampling, the amplitude value range is usually between -32768 and 32767; based on this, obtain the amplitude value XI of the audio signal i .

[0092] Perform an FFT transformation on a segment of the audio signal to convert the time-domain signal into a frequency-domain signal and obtain the spectrum of the signal. The frequency corresponding to each peak in the spectrum is the amplitude frequency f i .

[0093] After obtaining the spectrum by performing FFT on the audio signal, the fundamental frequency f0 is determined by finding the lowest-frequency peak in the spectrum. Then, the frequency components with frequencies of z×f0 (z = 2, 3...) are the harmonics. The amplitude value A of the harmonics i is the amplitude value of the corresponding frequency in the spectrum.

[0094] Step 202: Based on the amplitude value XI i , calculate the volume RMS, and the formula used is:

[0095]

[0096] where XI i is the amplitude value of the audio signal at the i-th sampling time point, and the value range of i is 1, 2, 3...n; n is the total number of sampling points and takes positive integer values.

[0097] It should be noted that means to sum the squares of the amplitude values XI i of all sampling points; means to find the average, that is, divide the sum of squares by the total number of sampling points n; finally, take the square root of this average The result obtained is the root mean square value RMS of the audio signal.

[0098] Step 203: Calculate the average amplitude frequency based on the amplitude frequency f i The calculation formula is:

[0099]

[0100] where f i is the amplitude frequency of the audio signal at the i-th sampling time point.

[0101] It should be noted that f i is the amplitude frequency of the audio signal at the i-th sampling time point; ​It means adding up the amplitude frequency values of all sampling points; It means dividing this sum by the total number n of sampling points to obtain the average value of these frequency values, that is, the average amplitude frequency

[0102] Step 204: Use a signal generator to generate a single-frequency signal with a specific frequency, input it into the speaker, and then use a spectrum analyzer to measure the amplitude A of the system output signal out , Given the input signal amplitude A in , then the attenuation coefficient at this frequency Based on this, obtain the harmonic attenuation coefficient d.

[0103] According to the harmonic attenuation coefficient d and the amplitude value A of the harmonic i , calculate the timbre parameter TC, and the calculation formula is:

[0104]

[0105] where, A i is the amplitude value of the harmonic of the audio signal at the i-th sampling time point.

[0106] It should be noted that d×A i indicates that the amplitudes of different harmonics will be adjusted according to the attenuation coefficient when calculating the timbre parameter. The harmonic attenuation coefficient reflects the attenuation situation of the harmonic energy at different frequencies during the actual audio propagation process. It means summing up the weighted values from the 1st to the nth sampling points to obtain the timbre parameter TC.

[0107] Step 205: According to the volume RMS, average amplitude frequency and timbre parameter TC, calculate the comprehensive index SKI, and the formula based on is:

[0108]

[0109] where, α is the weight coefficient of the volume RMS, and its value ranges from 0.1 to 0.3; β is the weight coefficient of the average amplitude frequency , and its value ranges from 0.3 to 0.4; γ is the weight coefficient of the timbre parameter TC, and its value ranges from 0.3 to 0.5; and α + β + γ = 1.

[0110] It should be noted that this formula comprehensively considers the three important parameters of the volume RMS, average amplitude frequency and timbre parameter TC. Each parameter has a corresponding weight coefficient, indicating the degree of emphasis on different parameters when calculating the comprehensive index. By multiplying each parameter by its corresponding weight coefficient and then summing, a comprehensive index SKI that can comprehensively describe the audio characteristics is obtained.

[0111] Step 206: In the analysis of the resonant circuit of wireless communication technology, by using the known values of resistance R, inductance L, and capacitance C, it is used to calculate the impedance SK of the R, L, C series circuit, where j is the imaginary unit, w is the angular frequency, w = 2π×f, and f is the frequency; the impedance SK here is the Laplace variable SK.

[0112] For stringed instruments, the vibration frequency of the string determines the frequency of the sound emitted. According to the string vibration theory, the vibration frequency of the string where T is the tension of the string, L is the length of the string, and θ is the density of the string; then the central angular frequency WK = 2πfa.

[0113] In the design of audio circuits, the quality factor QK is related to the design parameters of the filter. For example, when designing a second-order band-pass filter, its quality factor where LV is the inductance, CV is the capacitance, and RV is the resistance, and based on this, the quality factor QK is obtained.

[0114] Step 207: According to the Laplace variable SK, the central angular frequency WK, and the quality factor QK, calculate the frequency transfer value HS, and the formula based on is:

[0115]

[0116] It should be noted that represents a combined relationship between the Laplace variable SK, the central angular frequency WK, and the quality factor QK. After dividing the central angular frequency WK by the quality factor QK and then multiplying by the Laplace variable SK, it reflects the interaction between a certain frequency-related characteristic and the Laplace variable. It reflects the comprehensive influence of the Laplace variable and the central angular frequency on the frequency transfer value HS, and this influence has the characteristics of a quadratic function.

[0117] Step 208: Preset the frequency transfer value threshold; the frequency transfer value threshold includes the first frequency transfer value threshold HS1 and the second frequency transfer value threshold HS2; in audio processing, by testing different types of music signals and sounds, observe the quality and effect of the sound at different frequency transfer values HS. For example, through multiple experiments, it is found that when the frequency transfer value HS is lower than a certain value, the sound becomes dull and lacks high-frequency parts, and this value is used as the first frequency transfer value threshold HS1; while when HS is higher than another value, the sound will be harsh and distorted, and this value is used as the second frequency transfer value threshold HS2.

[0118] Step 209: When HS ≤ HS1, determine that the fountain is at a low frequency level and select Set One of fountain shapes; Set One of fountain shapes includes at least one of single-column fountains, rippling fountains, and cascading fountains.

[0119] When HS1 < HS ≤ HS2, determine that the fountain is at a medium frequency level and select Set Two of fountain shapes; Set Two of fountain shapes includes at least one of fan-shaped fountains, staggered fountains, and spiral fountains.

[0120] When HS > HS2, determine that the fountain is at a high frequency level and select Set Three of fountain shapes; Set Three of fountain shapes includes at least one of ultra-high fountains, combined fountains, and dancing fountains.

[0121] This method can perfectly integrate the fountain show with the music. According to the changes in the volume, frequency, and rhythm of the music, the fountain can present different water spraying patterns, making the show more vivid and appealing. By presetting thresholds to select the water spraying patterns, the control of the fountain is made more precise and orderly, avoiding the randomness of water spraying pattern switching. This design not only enhances the artistic quality of the fountain show but also better creates a visual effect that matches the music atmosphere.

[0122] Step Three: According to the music signal data, average amplitude frequency and timbre parameter TC, calculate the sum DL of the amplitude differences between adjacent sampling points; according to the average amplitude frequency and the sum DL of the amplitude differences between adjacent sampling points, calculate the rhythm intensity index R; according to the comprehensive index SKI, frequency transfer value HS, and rhythm intensity index R, calculate the music comprehensive feature index I; preset the threshold of the music comprehensive feature index, compare the music comprehensive feature index I with the threshold of the music comprehensive feature index, and select different water spraying patterns according to the result.

[0123] Step 301: For each audio sample, calculate its average amplitude frequency according to the formula where f is the amplitude frequency of the audio signal at the i-th sampling time point. Among these samples, find the maximum value of the calculated average amplitude frequency and take it as the maximum value i of the average amplitude frequency.

[0124] Through the FL Studio audio processing software, find the fruityparametriceq2 effect processor to adjust the timbre, view the parameter range of this effect processor, adjust the parameters, and observe the change of the timbre. When the timbre reaches the limit or has an obvious change, the current timbre is the maximum value TC of the timbre parameter max .

[0125] Step 302: According to the amplitude value XI of the audio signal i, average amplitude frequency and the timbre parameter TC, calculate the sum DL of the amplitude differences between adjacent sampling points. The calculation formula is:

[0126]

[0127] where XI i-1 is the amplitude value of the audio signal at the (i - 1)-th sampling time point.

[0128] It should be noted that is the weighted sum of the amplitude differences |X i - X i-1 | between adjacent sampling points. represents the influence of the average amplitude frequency on the amplitude difference. When is closer to , some coefficients will increase, thereby increasing the weight of the amplitude difference in the summation. represents the influence of the timbre parameter on the amplitude difference. When TC is close to TC max , this part of the coefficients will increase, thereby increasing the weight of the amplitude difference in the summation.

[0129] Step 303: Convert the audio signal in the time domain to a frequency domain representation through Fourier transform, and display the energy distribution of the signal at different frequencies. In the frequency domain, identify the fundamental frequency and the amplitudes of each harmonic. The harmonic coefficient is usually determined by calculating the ratio of the amplitude of each harmonic to the amplitude of the fundamental frequency. For example, for an audio signal containing the fundamental frequency f1 and the second harmonic 2f1, the harmonic coefficient where is the amplitude of the second harmonic, is the amplitude of the fundamental frequency.

[0130] By analyzing the time-domain waveform of the audio signal. For example, for the discrete audio signal x(n), calculate the change amount between adjacent sampling points by calculating x(n) - x(n - 1), and then calculate the average value of these change amounts to obtain the time change rate TR.

[0131] Obtained by calculating the difference in volume between adjacent sampling points or adjacent time periods. For example, in a discrete audio signal, if V i and V i-1 are the volume values at the i-th and (i - 1)-th sampling points respectively, then the volume change rate where Δt is the sampling interval; based on this, obtain the volume change rate r.

[0132] The maximum volume change rate r max is the maximum value of the volume change rate found in the entire audio signal.

[0133] Step 304: Calculate the rhythm intensity index R based on the harmonic coefficient HD, the time change rate TR, the volume change rate r, the maximum volume change rate r max , the average amplitude frequency and the sum DL of the amplitude differences between adjacent sampling points. The calculation formula is:

[0134]

[0135] It should be noted that DL×HD×TR comprehensively considers the contributions of the amplitude change, harmonic components, and time change of the audio signal to the rhythm intensity by multiplying these three parameters. This part considers the influence of volume change on the rhythm intensity. When the volume change rate approaches the maximum volume change rate, the value of this part will increase. By multiplying the term related to the average amplitude frequency and the volume change rate, the influence of the frequency characteristics of the audio signal and the volume change on the rhythm intensity is comprehensively considered.

[0136] Step 305: Calculate the music comprehensive feature index I based on the comprehensive index SKI, the frequency transfer value HS, and the rhythm intensity index R. The formula is:

[0137] I = ω1×SKI + ω2×HS + ω3×R

[0138] where ω1 is the weight coefficient of the comprehensive index SKI, with a value range of 0.1 - 0.4; ω2 is the weight coefficient of the frequency transfer value HS, with a value range of 0.2 - 0.5; ω3 is the weight coefficient of the rhythm intensity index R, with a value range of 0.3 - 0.4; and ω1 + ω2 + ω3 = 1.

[0139] It should be noted that this formula comprehensively considers the three important parameters of the comprehensive index SKI, the frequency transfer value HS, and the rhythm intensity index R. Each parameter has a corresponding weight coefficient, indicating the degree of emphasis on different parameters when calculating the music comprehensive feature index. By multiplying each parameter by its corresponding weight coefficient and then summing them up, a music comprehensive feature index I that can comprehensively describe the music is obtained.

[0140] Step 306: Preset the threshold values of the comprehensive music feature indicators; the comprehensive indicator thresholds include the first comprehensive music feature indicator threshold I1 and the second comprehensive music feature indicator threshold I2. By extracting features from the music samples, parameters such as volume, frequency, timbre, and rhythm are extracted, and then the comprehensive music feature indicator I is calculated based on these parameters. Through statistical analysis of the I values of different types of music, such as classical music, pop music, rock music, etc., the I value ranges corresponding to different music types are determined. For example, after analyzing a large number of classical music samples, it is found that their I values are generally in a relatively low range, and the lower limit of this range is used as the first comprehensive music feature indicator threshold I1; after analyzing rock music samples, their I values are in a relatively high range, and the upper limit of this range is used as the second comprehensive music feature indicator threshold I2.

[0141] Step 307: When I ≤ I1, select the first water spraying mode; the water spraying flow is relatively gentle, and it is paired with music with a slow rhythm and a small volume, such as the adagio movement in classical music.

[0142] When I1 < I ≤ I2, select the second water spraying mode; the water spraying flow has a certain sense of rhythm, and it is paired with music with a moderate rhythm and a moderate volume, such as medium-tempo songs in pop music.

[0143] When I > I2, select the third water spraying mode; the water spraying flow changes violently, and it is paired with music with a strong rhythm and a large volume, such as fast-paced tracks in rock music or electronic music.

[0144] This method can make the performance of the fountain highly compatible with the music. Whether it is the change in volume, frequency, or rhythm, it can be reflected in the fountain form and frequency level, greatly enhancing the synchronization of the audio-visual effect. Making judgments and selections based on the preset thresholds can make the fountain performance more orderly and diverse, presenting rich fountain shapes and rhythm changes according to different characteristics of the music, bringing a more contagious and artistic viewing experience.

[0145] Step Four: Calculate the comprehensive value P of the water spraying mode command according to the comprehensive music feature indicator I and the music signal data; calculate the nozzle adjustment angle θ according to the comprehensive music feature indicator I and the comprehensive value P of the water spraying mode command; calculate the light brightness L according to the rhythm intensity index R and the nozzle adjustment angle θ, and further obtain the light color value C; preset the light color value threshold, compare the light color value C with the light color value threshold, and select different light color sets according to the result.

[0146] Step 401: After the fountain system is installed, actual tests and calibrations are required to determine the minimum water spraying height H min 、the maximum water spraying height H max 、the minimum water volume W min and the maximum water volume W maxValue. By gradually adjusting the power of the water pump, the angle and pressure of the nozzle, etc., measure the water spray height and water volume under different settings, so as to accurately obtain the minimum water spray height H min , the maximum water spray height H max , the minimum water volume W min and the maximum water volume W max .

[0147] Step 402: By analyzing a large number of different types of music samples and calculating the comprehensive music feature index I, find the maximum value of I among these samples, which is the maximum value I of the comprehensive music feature index value max .

[0148] According to the maximum comprehensive music feature index value I max , the comprehensive music feature index I, the minimum water spray height H min , the maximum water spray height H max , the minimum water volume W min and the maximum water volume W max , calculate the comprehensive value P of the water spray mode command. The formula is:

[0149]

[0150] It should be noted that, (H min +W min ) This part represents the sum of the parameters of the water spray system in the most basic state, that is, the addition of the minimum water spray height and the minimum water volume. H max -H min +W max -W min represents the difference between the maximum water spray height and the minimum water spray height plus the difference between the maximum water volume and the minimum water volume. This part reflects the change range of the water spray system in terms of height and water volume. I max is the maximum value of the comprehensive music feature index, which is used to normalize the above change range. Multiplying by I means adjusting the comprehensive value P of the water spray mode command according to the characteristics of the music. When the comprehensive music feature index I is larger, the value of the second part will increase accordingly, so that the comprehensive value P of the water spray mode command increases; conversely, when I is smaller, the value of P will be relatively smaller.

[0151] Step 403: According to the mechanical structure of the nozzle and the limit position of the driving device, obtain the maximum angle θ of nozzle change max and the minimum angle θ of nozzle change min .

[0152] According to the maximum angle θ of nozzle change max , the minimum angle θ of nozzle change min , the comprehensive music feature index I and the comprehensive value P of the water spray mode command, calculate the adjustment angle θ of the nozzle. The calculation formula is:

[0153]

[0154] Among them, θ max is the maximum angle of change of the nozzle; θ min is the minimum angle of change of the nozzle.

[0155] It should be noted that θ min is the minimum angle of change of the nozzle, representing the lower limit value of the nozzle angle. The part P×(θ max -θ min ) represents adjustment between the minimum and maximum angles of the nozzle according to the comprehensive value P of the water spraying mode instruction. When P = 0, this part is 0, and the minimum angle of the nozzle is θ min ; when P = 1, the nozzle is at the maximum angle θ max . is a sine function, whose period is determined by I and I max . When I changes from 0 to I max , will complete a cycle of change, with a value range between -1 and 1. After adding 1, the value range of this part becomes 0 to 2, which will produce a periodic fluctuation effect on the adjustment of the nozzle angle, so that the nozzle angle is periodically fine-tuned according to the comprehensive music feature index I on the basis of the comprehensive value P of the water spraying mode instruction.

[0156] Step 404: When designing the fountain lighting system, the maximum brightness and minimum brightness of the lights will be set according to the overall visual effect requirements; thus, the maximum light brightness L max and the minimum light brightness L min are obtained.

[0157] During the installation and debugging stage of the fountain system, technicians observe the effect of the light brightness changing with the nozzle angle by continuously trying different δ values. For example, when the nozzle angle changes, by automatically adjusting the δ value, observe whether the light brightness can match the nozzle angle as expected, so as to determine the appropriate δ value.

[0158] Step 405: According to the maximum light brightness L max , the minimum light brightness L min , the rhythm intensity index R, and the nozzle adjustment angle θ, calculate the light brightness L. The calculation formula is:

[0159] L = L min +R×(L max -L min )×δ×θ

[0160] Among them, δ is the adjustment coefficient of the nozzle adjustment angle θ, and its value ranges from 0 to 1.

[0161] It should be noted that L min is the minimum brightness of the light, representing the lower limit value of the light brightness. R×(L max -L min ) means adjusting between the minimum brightness and the maximum brightness of the light according to the rhythm intensity index R. When R = 0, this part is 0, and the light brightness is the minimum brightness L min . When R = 1, the light brightness is the maximum brightness L max . δ×θ represents the influence of the nozzle adjustment angle θ on the light brightness. When the nozzle adjustment angle θ changes, the light brightness is affected by adjusting the coefficient δ. If the nozzle adjustment angle θ increases and δ is a positive number, then the light brightness will increase accordingly.

[0162] Step 406: Based on the light brightness L, calculate the light color value C, and the calculation formula is:

[0163]

[0164] It should be noted that L-L min represents the difference between the current light brightness L and the minimum light brightness L min , and this difference reflects the increase in the current light brightness relative to the minimum brightness. L max -L min represents the difference between the maximum light brightness and the minimum light brightness, and this difference represents the change range of the light brightness. Actually, the increase in the current light brightness relative to the minimum brightness is normalized to obtain a value between 0 and 1. Finally, multiply by 255 because in the common color value representation, the range of color values is 0 to 255. In this way, the normalized brightness difference is converted into the corresponding light color value C.

[0165] Step 407: Preset the light color value threshold; the light color value threshold includes the light color value threshold one C1 and the light color value threshold two C2; monitor the color change through devices such as LED lights with high color accuracy; check that the device produces obvious visual differences within a small color value change range, so more natural light color transitions are achieved through more precise threshold settings. In the range of color values from 0 to 255, if the color accuracy of the device is high and the color value is 150, then take C2 = 150 as the light color value threshold two. If the color value is 50, then take C1 = 50 as the light color value threshold one.

[0166] Step 408: When C≤C1, select the light color set one; the light color set one includes relatively dim and soft colors, such as dark blue, dark purple, and dark green.

[0167] When C1 <C≤C2时,选择灯光颜色集合二;颜色集合二营造出一种舒适、和谐的氛围,包括浅蓝色、淡紫色和浅绿色。

[0168] When C>C2, light color set three is selected; color set three contains brighter and more vivid colors, including bright yellow, bright red and bright orange.

[0169] This method can make the changes of fountains and lights perfectly match the music. Whether it is a gentle and soothing melody or an exciting and surging rhythm, it can be displayed through the corresponding water spray mode, nozzle angle and lighting effects, greatly enhancing the appreciation and artistry of the performance. Accurate calculation and preset thresholds make the control of the entire system more scientific and orderly, avoiding random and uncoordinated situations.

[0170] On the other hand, the present invention also discloses a control system of an intelligent music fountain, which is used to implement the control method of the intelligent music fountain, including:

[0171] A data receiving module, used for collecting music signal data;

[0172] Data analysis module, used to calculate volume RMS, average amplitude frequency based on music signal data and timbre TC; based on volume RMS, average amplitude frequency and timbre TC, calculate the comprehensive index SKI; calculate the frequency transfer value HS based on the music signal data; preset the frequency transfer value threshold, compare the frequency transfer value HS with the frequency transfer value threshold, judge the frequency level of the fountain according to the result, and select the corresponding fountain shape set;

[0173] The instruction generation module is used to generate the music signal data, average amplitude frequency and timbre parameters TC, calculate the sum of the amplitude differences of adjacent sampling points DL; according to the average amplitude frequency and the sum of the amplitude differences of adjacent sampling points DL, calculate the rhythm intensity index R; calculate the music comprehensive feature index I according to the comprehensive index SKI, the frequency transfer value HS and the rhythm intensity index R; preset the music comprehensive feature index threshold, compare the music comprehensive feature index I with the music comprehensive feature index threshold, and select different water spray modes according to the results;

[0174] A control module is used to calculate a comprehensive value P of a water spraying mode command according to a comprehensive music feature index I and music signal data; calculate a nozzle adjustment angle θ according to the comprehensive music feature index I and the comprehensive value P of the water spraying mode command; calculate a light brightness L according to a rhythm intensity index R and the nozzle adjustment angle θ, and further obtain a light color value C; preset a threshold value of the light color value, compare the light color value C with the threshold value of the light color value, and select different light color sets according to the result.

[0175] On the other hand, the present invention also discloses a control device for an intelligent music fountain, including a processor and a memory. The memory stores a computer program, and the processor can implement the control method of the intelligent music fountain when executing the computer program.

[0176] On the other hand, the present invention also discloses a control storage medium for an intelligent music fountain. The storage medium stores a computer program, and the computer program implements the control method of the intelligent music fountain when executed by a processor.

[0177] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. Those of ordinary skill in the art can realize that the units and algorithm steps of the examples described in conjunction with the embodiments disclosed herein can be implemented by electronic hardware or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution.

[0178] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0179] The above is only the specific implementation manner of this application, but the protection scope of this application is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed in this application, and all of them should be covered by the protection scope of this application.

Claims

1. A control method for an intelligent music fountain, characterized in that: Including: Collect music signal data; the music signal data includes the amplitude value XI of the audio signal i , the amplitude frequency f i , and the amplitude value A of the harmonic i ; Based on the amplitude value XI i Calculate the volume RMS based on the amplitude frequency f i Calculate the average amplitude frequency Based on the amplitude value A of the harmonic i Calculate the timbre TC; according to the volume RMS, the average amplitude frequency And the timbre TC, calculate the comprehensive index SKI, and the formula is as follows: Among them, α is the weight coefficient of the volume RMS, and its value ranges from 0.1 to 0.3; β is the weight coefficient of the average amplitude frequency and its value ranges from 0.3 to 0.4; γ is the weight coefficient of the timbre parameter TC, and its value ranges from 0.3 to 0.5; and α + β + γ = 1; Based on the music signal data, calculate the frequency transfer value HS; the specific method is: the music signal data also includes the Laplace variable SK, the central angular frequency WK, and the quality factor QK; According to the Laplace variable SK, the central angular frequency WK, and the quality factor QK, calculate the frequency transfer value HS, and the formula relied on is: Preset the frequency transfer value threshold, compare the frequency transfer value HS with the frequency transfer value threshold, judge the frequency level of the fountain according to the result, and select the corresponding fountain shape set; According to the music signal data, the average amplitude frequency and the timbre parameter TC, calculate the sum DL of the amplitude differences between adjacent sampling points; according to the average amplitude frequency and the sum DL of the amplitude differences between adjacent sampling points, calculate the rhythm intensity index R, and the calculation formula is: Among them, HD is the harmonic coefficient, with a value ranging from 0 to 1; TR is the time change rate; r is the volume change rate; r max is the maximum volume change rate; According to the comprehensive index SKI, the frequency transfer value HS, and the rhythm intensity index R, calculate the music comprehensive feature index I, and the formula relied on is: I = ω1×SKI + ω2×HS + ω3×R Wherein, ω1 is the weight coefficient of the comprehensive index SKI, with a value range of 0.1 to 0.4; ω2 is the weight coefficient of the frequency transfer value HS, with a value range of 0.2 to 0.5; ω3 is the weight coefficient of the rhythm intensity index R, with a value range of 0.3 to 0.4; and ω1 + ω2 + ω3 = 1; Preset the music comprehensive feature index threshold, compare the music comprehensive feature index I with the music comprehensive feature index threshold, and select different water spraying modes according to the result; Calculate the comprehensive value P of the water spraying mode command according to the comprehensive music feature index I and the music signal data; the specific method is: the music signal data also includes the minimum water spraying height H min , the maximum water spraying height H max , the minimum water volume W min and the maximum water volume W max ; According to the comprehensive music feature index I, the minimum water spray height H min , the maximum water spray height H max , the minimum water volume W min and the maximum water volume W max , calculate the comprehensive value P of the water spray mode command, and the formula is as follows: Among them, I max is the maximum value of the comprehensive music feature index; According to the music comprehensive feature index I and the comprehensive value P of the water spraying mode instruction, calculate the nozzle adjustment angle θ, and the calculation formula is: Among them, θ max is the maximum angle of change of the nozzle; θ min is the minimum angle of change of the nozzle; According to the rhythm intensity index R and the nozzle adjustment angle θ, calculate the light brightness L, and the calculation formula is: L = L min + R×(L max - L min )×δ×θ Among them, L max is the maximum brightness of the light; L min is the minimum brightness of the light; δ is the adjustment coefficient of the nozzle adjustment angle θ, and its value ranges from 0 to 1; Based on the light brightness L, calculate the light color value C, and the calculation formula is: Preset the light color value threshold, compare the light color value C with the light color value threshold, and select different light color sets according to the result.

2. The control method of an intelligent music fountain according to claim 1, characterized in that: Method for calculating volume RMS, average amplitude frequency and timbre TC is as follows: Based on the amplitude value XI i , the volume RMS is calculated according to the formula: where, XI i is the amplitude value of the audio signal at the i-th sampling time point, and the value of i is 1, 2, 3... n; n is the total number of sampling points and takes a positive integer value; Based on the amplitude frequency f i Calculate the average amplitude frequency The calculation formula is as follows: where, f i is the amplitude frequency of the audio signal at the i-th sampling time point; Based on the amplitude value A of the harmonic i , the timbre parameter TC is calculated, and the calculation formula is: where d is the harmonic attenuation coefficient, with a value ranging from 0 to 1; A i is the amplitude value of the harmonic of the audio signal at the i-th sampling time point.

3. The control method of an intelligent music fountain according to claim 2, characterized in that: The method for judging the fountain frequency level and selecting different fountain shape sets is: Preset the frequency transfer value threshold; The frequency transfer value threshold includes the first frequency transfer value threshold HS1 and the second frequency transfer value threshold HS2; When HS ≤ HS1, judge that the fountain is at a low frequency level and select the first fountain shape set; When HS1 < HS ≤ HS2, judge that the fountain is at a medium frequency level and select the second fountain shape set; When HS > HS2, judge that the fountain is at a high frequency level and select the third fountain shape set.

4. The control method of an intelligent music fountain according to claim 3, characterized in that: The method for calculating the rhythm intensity index R is: According to the amplitude value XI of the audio signal i , the average amplitude frequency and the timbre parameter TC, calculate the sum DL of the amplitude differences between adjacent sampling points. The calculation formula is as follows: Among them, XI i-1 is the amplitude value of the audio signal at the (i - 1)-th sampling time point; is the maximum value of the average amplitude frequency; TC max is the maximum value of the timbre parameter.

5. The control method of an intelligent music fountain according to claim 4, characterized in that: The method for selecting different water spraying modes is: Preset the music comprehensive feature index threshold; The comprehensive index threshold includes the first music comprehensive feature index threshold I1 and the second music comprehensive feature index threshold I2; When I ≤ I1, select the first water spraying mode; When I1 < I ≤ I2, select the second water spraying mode; When I > I2, select the third water spraying mode.

6. The control method of an intelligent music fountain according to claim 5, characterized in that: The method for selecting different light color sets is: Preset the light color value threshold; The light color value threshold includes the first light color value threshold C1 and the second light color value threshold C2; When C ≤ C1, select the first light color set; When C1 < C ≤ C2, select the second light color set; When C > C2, select the third light color set.

7. A control system for an intelligent music fountain, characterized in that: A data receiving module, configured to collect music signal data; the music signal data includes the amplitude value XI of an audio signal i , the amplitude frequency f i , and the amplitude value A of a harmonic wave i ; Data analysis module, for calculating the volume RMS based on the amplitude value XI i Calculating the average amplitude frequency based on the amplitude frequency f i Calculating the average amplitude frequency Calculating the timbre TC based on the harmonic amplitude value A i Calculating the integrated index SKI according to the volume RMS, the average amplitude frequency and the timbre TC, and the formula used is: Among them, α is the weight coefficient of the volume RMS, and its value ranges from 0.1 to 0.3; β is the weight coefficient of the average amplitude frequency and its value ranges from 0.3 to 0.4; γ is the weight coefficient of the timbre parameter TC, and its value ranges from 0.3 to 0.5; and α + β + γ = 1; Based on the music signal data, calculate the frequency transfer value HS; the specific method is: the music signal data also includes the Laplace variable SK, the central angular frequency WK, and the quality factor QK; Calculate the frequency transfer value HS according to the Laplace variable SK, the central angular frequency WK, and the quality factor QK. The formula is as follows: Preset the frequency transfer value threshold, compare the frequency transfer value HS with the frequency transfer value threshold, judge the frequency level of the fountain according to the result, and select the corresponding set of fountain shapes; An instruction generation module, configured to calculate the sum DL of the amplitude differences between adjacent sampling points according to the music signal data, the average amplitude frequency and the timbre parameter TC; calculate the rhythm intensity index R according to the average amplitude frequency and the sum DL of the amplitude differences between adjacent sampling points. The calculation formula is as follows: Among them, HD is the harmonic coefficient, with a value ranging from 0 to 1; TR is the time change rate; r is the volume change rate; r max is the maximum volume change rate; Calculate the music comprehensive feature index I according to the comprehensive index SKI, the frequency transfer value HS, and the rhythm intensity index R. The formula is as follows: I = ω1 × SKI + ω2 × HS + ω3 × R Where, ω1 is the weight coefficient of the comprehensive index SKI, with a value range of 0.1 to 0.4; ω2 is the weight coefficient of the frequency transfer value HS, with a value range of 0.2 to 0.5; ω3 is the weight coefficient of the rhythm intensity index R, with a value range of 0.3 to 0.4; and ω1 + ω2 + ω3 = 1; Preset the music comprehensive feature index threshold, compare the music comprehensive feature index I with the music comprehensive feature index threshold, and select different water spraying modes according to the result; A control module, configured to calculate a comprehensive value P of a water spraying mode command according to a comprehensive music feature index I and music signal data; specifically, the method is as follows: the music signal data further includes a minimum water spraying height H min , a maximum water spraying height H max , a minimum water volume W min and a maximum water volume W max ; According to the comprehensive music feature index I, the minimum water spray height H min , the maximum water spray height H max , the minimum water volume W min and the maximum water volume W max , calculate the comprehensive value P of the water spray mode command, and the formula is: Among them, I max is the maximum value of the comprehensive music feature index; Calculate the nozzle adjustment angle θ according to the music comprehensive feature index I and the water spraying mode command comprehensive value P. The calculation formula is: Among them, θ max is the maximum angle of change of the nozzle; θ min is the minimum angle of change of the nozzle; According to the rhythm intensity index R and the nozzle adjustment angle θ, the light brightness L is calculated, and the calculation formula is: L = L min + R × (L max - L min ) × δ × θ Among them, L max is the maximum brightness of the light; L min is the minimum brightness of the light; δ is the adjustment coefficient of the nozzle adjustment angle θ, and its value ranges from 0 to 1; Calculate the light color value C based on the light brightness L. The calculation formula is: Further obtain the light color value C; preset the light color value threshold, compare the light color value C with the light color value threshold, and select different light color sets according to the result.

8. A control device for an intelligent music fountain, characterized in that: It includes a processor and a memory. The memory stores a computer program, and when the processor executes the computer program, it realizes the control method of the intelligent music fountain according to any one of claims 1 to 6.

9. A control storage medium for an intelligent music fountain, characterized in that: The storage medium stores a computer program, and when the computer program is executed by a processor, it realizes the control method of the intelligent music fountain according to any one of claims 1 to 6.

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