Intelligent LED control method and system based on audio analysis

Abstract

The invention discloses an intelligent LED control method and system based on audio analysis. An isolation step-down constant-voltage circuit is integrated in the LED device, 220V alternating current is converted into 52V direct current, the 52V direct current is supplied to a step-down constant-current dimming circuit and a color temperature adjusting circuit, the dimming and color adjusting functions are achieved, and meanwhile power is supplied to a Bluetooth control module, an audio module built-in storage circuit and an audio power amplifier circuit through a 5V circuit. The AC isolation detection circuit detects the switching signal and transmits the switching signal to the Bluetooth control module, and generates a control signal to adjust color temperature and audio playing. The Bluetooth control module collects environment light source data and generates a light and audio matching control signal in combination with an audio instruction. Light and audio state information is periodically collected, feature information is extracted by using a PCA analysis method and correlation analysis is carried out, feature correlation information is generated in combination with user feedback data, and real-time operation evaluation and optimization are realized. According to the invention, intelligent and scene-based control of light and audio is realized, and user experience and system performance are improved.

Description

Technical Field

[0001] The present invention relates to the field of audio and LED circuit control, and more specifically, to an intelligent LED control method and system based on audio analysis. Background Art

[0002] At present, when music lights or sound lights on the market play music, usually users need to connect to external devices via Bluetooth to play audio signals. However, limited by the stability of Bluetooth connection and device compatibility, the device experience is not good. Moreover, the existing technology lacks real-time analysis of the matching situation between light settings and audio playback, resulting in an unsatisfactory experience effect. Therefore, there is an urgent need for an intelligent LED control method and system based on audio analysis that can achieve offline audio playback through a built-in audio storage and audio processing circuit, and enable the switching of light scenes to automatically accompany different music effects, can analyze the matching situation between lights and audio in real time, can reduce additional user operations, and realize an intelligent audio and LED control method. Summary of the Invention

[0003] The present invention overcomes the defects of the prior art and provides an intelligent LED control method and system based on audio analysis.

[0004] The first aspect of the present invention provides an intelligent LED control method based on audio analysis, including:

[0005] In the intelligent LED device, input 220V to the isolation buck constant voltage circuit, step down and isolate the AC signal to generate a 52V DC voltage, supply it to the buck constant current dimming circuit and output it to the color temperature adjustment circuit to form a dimming and color mixing constant current circuit. At the same time, transmit the 52V DC voltage to the 5V circuit, and transmit the voltage through the 5V circuit to the Bluetooth control module, the built-in storage circuit of the audio module, and the audio power amplifier circuit for power supply. The AC isolation detection circuit detects the switch action signal and transmits the signal to the Bluetooth control module and sets the control signal, and outputs the control signal to the color temperature adjustment circuit and the built-in storage circuit of the audio module;

[0006] The Bluetooth control module includes collecting ambient light source data for lighting control matching, setting instructions based on the input audio for audio control matching, and generating control signals based on audio and lighting;

[0007] Obtain the usage feedback data of the intelligent LED device in an operating period, and periodically collect and analyze the lighting state information and audio state information based on the operating period. Based on the PCA analysis method, extract and correlate the feature information of the lighting and audio, generate feature correlation information in combination with the feedback data, and perform real-time operation evaluation through the feature correlation information.

[0008] In this solution, the intelligent LED device includes an isolation step-down constant voltage circuit, a step-down constant current dimming circuit, a color temperature adjustment circuit, a step-down constant voltage 5V circuit, an AC isolation detection circuit, a Bluetooth control module, an audio module built-in storage circuit, and an audio power amplifier circuit.

[0009] In this solution, the control signal is output to the color temperature adjustment circuit and the audio module built-in storage circuit. The color temperature adjustment circuit can adjust the brightness and color temperature of the LED device, and the audio module built-in storage circuit can adjust the audio power amplifier circuit to play multi-scene audio.

[0010] In this solution, the ambient light source data is collected for lighting control matching, and the audio control matching is performed based on the input audio setting instruction to generate a control signal based on audio and lighting, specifically:

[0011] During the operation of the intelligent LED device, the lighting matching setting is sent to the Bluetooth control module. The ambient color temperature and ambient brightness are analyzed based on the ambient light source data, and lighting control matching is performed;

[0012] Audio analysis and control matching are performed based on the input audio setting instruction to generate a control signal based on audio and lighting.

[0013] In this solution, the usage feedback data of the intelligent LED device is obtained in an operating time period, and the lighting state information and audio state information are periodically collected and analyzed based on the operating time period. Based on the PCA analysis method, feature information extraction and correlation analysis are performed on lighting and audio, and feature correlation information is generated in combination with the feedback data. Real-time operation evaluation is performed through the feature correlation information, specifically:

[0014] The operating time period is divided into multiple time nodes for periodic analysis;

[0015] The feedback data includes the operating effect feedback information of different time nodes;

[0016] In each time node, the lighting state information and audio state information during the operation of the intelligent LED device are obtained through the acquisition device;

[0017] Feature data extraction based on color temperature and brightness is performed on the lighting state information, and data dimensionality reduction and secondary extraction are performed from the feature data based on the PCA analysis method to generate lighting feature data;

[0018] Feature extraction based on the spectrum and amplitude dimensions is performed on the audio state information, and data dimensionality reduction and secondary extraction are performed from the feature data based on the PCA analysis method to generate audio feature data;

[0019] The lighting feature data and the audio feature data are respectively feature vectorized to form first vector data and second vector data;

[0020] Based on the Apriori algorithm, using the first vector data and the second vector data as the data set, setting the minimum support and the minimum confidence, performing data association analysis on the data set, and setting the association rules;

[0021] For each time node, set the corresponding association rules, bind the association rules with the corresponding operation effect feedback information to form feature association information.

[0022] The second aspect of the present invention also provides an intelligent LED control system based on audio analysis. The system includes: a memory and a processor. The memory includes an intelligent LED control program based on audio analysis. When the intelligent LED control program based on audio analysis is executed by the processor, the following steps are implemented:

[0023] In the intelligent LED device, input 220V to the isolation buck constant voltage circuit, step down and isolate the AC signal to generate a 52V DC voltage, supply it to the buck constant current dimming circuit and output it to the color temperature adjustment circuit to form a dimming and color mixing constant current circuit. At the same time, transmit the 52V DC voltage to the 5V circuit, and transmit the voltage through the 5V circuit to the Bluetooth control module, the built-in storage circuit of the audio module and the audio power amplifier circuit for power supply. The AC isolation detection circuit detects the switch action signal and transmits the signal to the Bluetooth control module and sets the control signal, and outputs the control signal to the color temperature adjustment circuit and the built-in storage circuit of the audio module;

[0024] The Bluetooth control module includes collecting ambient light source data for lighting control matching, setting instructions based on the input audio for audio control matching, and generating control signals based on audio and lighting;

[0025] Obtain the usage feedback data of the intelligent LED device in an operating time period, periodically collect and analyze the lighting state information and the audio state information based on the operating time period, perform feature information extraction and association analysis on the lighting and audio based on the PCA analysis method, generate feature association information in combination with the feedback data, and perform real-time operation evaluation through the feature association information.

[0026] The present invention discloses an intelligent LED control method and system based on audio analysis. By integrating an isolated buck constant voltage circuit in the LED device, the 220V AC power is converted into 52V DC power, which is supplied to the buck constant current dimming circuit and the color temperature adjustment circuit to achieve the functions of dimming and color adjustment. At the same time, the 5V circuit powers the Bluetooth control module, the built-in storage circuit of the audio module, and the audio power amplifier circuit. The AC isolation detection circuit detects the switch signal and transmits it to the Bluetooth control module to generate a control signal to adjust the color temperature and audio playback. The Bluetooth control module collects the ambient light source data and generates a matching control signal for the light and audio in combination with the audio instructions. Periodically collect the status information of the light and audio, extract the feature information using the PCA analysis method and perform correlation analysis, and generate feature correlation information in combination with the user feedback data to achieve real-time operation evaluation and optimization. The present invention realizes the intelligent and scenario-based control of the light and audio, improving the user experience and system performance. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 FIG. shows a flowchart of an intelligent LED control method based on audio analysis according to the present invention;

[0028] Figure 2 FIG. shows a schematic diagram of an intelligent LED device according to the present invention;

[0029] Figure 3 FIG. shows a schematic diagram of the circuit design according to the present invention;

[0030] Figure 4 FIG. shows a schematic diagram of the circuit design according to the present invention;

[0031] Figure 5 FIG. shows a block diagram of an intelligent LED control system based on audio analysis according to the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0032] In order to more clearly understand the above objects, features and advantages of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be noted that, without conflict, the embodiments of the present application and the features in the embodiments may be combined with each other.

[0033] In the following description, many specific details are set forth in order to fully understand the present invention. However, the present invention may be implemented in other ways different from those described herein. Therefore, the protection scope of the present invention is not limited by the specific embodiments disclosed below.

[0034] Figure 1 FIG. shows a flowchart of an intelligent LED control method based on audio analysis according to the present invention.

[0035] As Figure 1As shown in the figure, the first aspect of the present invention provides an intelligent LED control method based on audio analysis, including:

[0036] S102, in the intelligent LED device, input 220V to the isolation step-down constant voltage circuit, step down and isolate the AC signal to generate a 52V DC voltage, supply it to the step-down constant current dimming circuit and output it to the color temperature adjustment circuit to form a dimming and color mixing constant current circuit. At the same time, transmit the 52V DC voltage to the 5V circuit, and transmit the voltage through the 5V circuit to the Bluetooth control module, the built-in storage circuit of the audio module, and the audio power amplifier circuit for power supply. The AC isolation detection circuit detects the switch action signal and transmits the signal to the Bluetooth control module and sets the control signal, and outputs the control signal to the color temperature adjustment circuit and the built-in storage circuit of the audio module;

[0037] S104, the Bluetooth control module includes collecting ambient light source data for lighting control matching, setting instructions based on the input audio for audio control matching, and generating control signals based on audio and lighting;

[0038] S106, obtain the usage feedback data of the intelligent LED device in a running time period, periodically collect and analyze the lighting state information and audio state information based on the running time period, extract and correlate the feature information of the lighting and audio based on the PCA analysis method, generate feature correlation information in combination with the feedback data, and perform real-time operation evaluation through the feature correlation information.

[0039] According to an embodiment of the present invention, the intelligent LED device includes an isolation step-down constant voltage circuit, a step-down constant current dimming circuit, a color temperature adjustment circuit, a step-down constant voltage 5V circuit, an AC isolation detection circuit, a Bluetooth control module, a built-in storage circuit of the audio module, and an audio power amplifier circuit.

[0040] Figure 2 Shows a schematic diagram of the intelligent LED device of the present invention;

[0041] Figure 3 Shows a schematic diagram of the circuit design of the present invention;

[0042] Figure 4 Shows a schematic diagram of the circuit design of the present invention;

[0043] As Figure 2 shown, the AC TO DC constant voltage circuit is the isolation step-down constant voltage circuit, the DC TO DC constant current dimming circuit is the step-down constant current dimming circuit, and the DC TO DC constant voltage 5V circuit is the step-down constant voltage 5V circuit.

[0044] As Figure 3 、 Figure 4It is a detailed design schematic diagram of the relevant circuit. It should be noted here that the schematic diagram of the present invention is only an example circuit diagram of a preferred embodiment. Based on the idea of the present invention, circuit elements can be added, deleted, or changed to adapt to different LED lighting or audio requirements for the relevant LED device circuit.

[0045] According to an embodiment of the present invention, the control signal is output to the color temperature adjustment circuit and the built-in storage circuit of the audio module. The color temperature adjustment circuit can adjust the brightness and color temperature of the LED device, and the built-in storage circuit of the audio module can adjust the audio power amplifier circuit for multi-scene audio playback.

[0046] It should be noted that a variety of scene-based music is stored in the built-in storage circuit of the audio module, and it is played based on the preset mode and lighting.

[0047] According to an embodiment of the present invention, the ambient light source data is collected for lighting control matching, and the audio control matching is performed based on the input audio setting instruction to generate a control signal based on audio and lighting, specifically:

[0048] During the operation of the intelligent LED device, the lighting matching setting is sent to the Bluetooth control module. Based on the ambient light source data, the ambient color temperature and ambient brightness are analyzed, and lighting control matching is performed;

[0049] Based on the input audio setting instruction, audio analysis and control matching are performed to generate a control signal based on audio and lighting.

[0050] It should be noted that the lighting matching setting and the audio setting instruction can be manually set and sent to the Bluetooth control module through the user terminal. Specifically, the corresponding matching lighting effect is set based on the current ambient light source, and the corresponding audio signal is set based on the set scene to play the scene-based music and lighting effects that meet the requirements.

[0051] According to an embodiment of the present invention, during an operation time period, the usage feedback data of the intelligent LED device is obtained, and the lighting state information and audio state information are periodically collected and analyzed based on the operation time period. Based on the PCA analysis method, feature information extraction and correlation analysis are performed on the lighting and audio, and the feature correlation information is generated in combination with the feedback data. Real-time operation evaluation is performed through the feature correlation information, specifically:

[0052] The operation time period is divided into multiple time nodes for periodic analysis;

[0053] The feedback data includes the operation effect feedback information at different time nodes;

[0054] At each time node, the lighting state information and audio state information during the operation of the intelligent LED device are obtained through the acquisition device;

[0055] Extract feature data of the light state information based on color temperature and brightness, and based on the PCA analysis method, perform data dimensionality reduction and secondary extraction from the feature data to generate light feature data;

[0056] Extract features of the audio state information based on the spectrum and amplitude dimensions, and based on the PCA analysis method, perform data dimensionality reduction and secondary extraction from the feature data to generate audio feature data;

[0057] Respectively vectorize the light feature data and the audio feature data to form first vector data and second vector data;

[0058] Based on the Apriori algorithm, use the first vector data and the second vector data as a data set, set the minimum support and the minimum confidence, perform data association analysis on the data set, and set the association rules;

[0059] Set corresponding association rules for each time node, and bind the association rules with the corresponding operation effect feedback information to form feature association information.

[0060] It should be noted that the operation effect feedback information is specifically the operation feedback information of the intelligent LED device under different operating conditions. This information includes a feedback evaluation value used to reflect the operation effect, which can be set by artificial evaluation or evaluated by existing algorithms. The acquisition device includes an audio acquisition device and a light source acquisition device.

[0061] It is worth mentioning here that in the actual simultaneous operation state of audio and LED devices, it is difficult to perform real-time effect evaluation under multi-scene switching states. Often, artificial experience is required to participate in analyzing the operation state of the device, and the degree of intelligence is not high.

[0062] Based on this, the present invention analyzes the features of audio and light states in a time period, and analyzes the correlation between data with the Apriori algorithm. Here, analyze the correlation between audio and light features at specific time nodes, and save the correlation state of the correlation data through the association rules. Further, bind the association rules with the feedback information, so as to realize the storage of association information in two dimensions of audio and LED lights. In the subsequent operation time period, the operation situation feedback evaluation can be quickly and accurately realized through the feature association information. For the time nodes corresponding to different audio and light settings, perform operation effect evaluation, effectively improving the intelligence of the device.

[0063] According to an embodiment of the present invention, it further includes:

[0064] Set multiple time nodes within a real-time time period;

[0065] Obtain the corresponding first vector data and second vector data at each time node;

[0066] Calculate the vector eigenvalue of the first vector data, and use the calculated value as a one-dimensional value of the matrix;

[0067] Calculate the vector eigenvalue of the second vector data, and use the calculated value as a two-dimensional value of the matrix, and construct a corresponding matrix, marked as the feature matrix;

[0068] Based on the spectral decomposition method, calculate the similarity between the two feature matrices corresponding to the first time node and the second time node, and mark it as the first similarity;

[0069] Among the real-time nodes after the second time node, calculate the feature matrices corresponding to the current time node and the previous time node, marked as the real-time similarity. Through the deviation analysis of the real-time similarity and the first similarity, evaluate the matching delay between the audio and the light, and perform circuit adjustment based on the operating delay conditions of the audio and the light.

[0070] It is worth mentioning here that with the long-term matching work of the audio power amplifier and the lighting equipment, the circuit may have problems such as adjustment delay, lower matching degree between the light and the audio power amplifier, mismatch between the adjusted light and the ambient light source, and lag delay of the audio, resulting in poor user experience of the intelligent LED device in multiple scenarios. However, it is difficult for the existing technology to effectively measure and evaluate such lag delay situations. And the delay reduces the correlation and matching degree between the corresponding audio and light.

[0071] Based on this situation, the present invention conducts periodic analysis by dividing into multiple time nodes. In real-time analysis, for the current time node, a feature matrix is generated based on the audio features and the lighting features. The delay situation is evaluated through the similarity between the feature matrices at different time nodes (or adjacent time nodes). Through this process, it is possible to evaluate the matching and delay situations as a whole based on the two dimensions of audio and light. The higher the similarity, the higher the degree of delay or mismatch between the audio and the light. In addition, based on the first and second time nodes at the beginning of operation as comparison nodes for matrix similarity calculation, the delay situation is relatively low at this node, and the first similarity is set as the comparison value for subsequent real-time analysis.

[0072] The circuit adjustment includes re-setting or adjusting in the form of generating compensation values for the circuit audio and color temperature adjustment parameters, and can also be combined with subsequent feedback analysis for optimized adjustment evaluation to perform real-time operation adjustment on the entire audio and light adjustment module, realizing the intelligent adjustment function and improving the user experience.

[0073] It should be noted that among the multiple time nodes set within a real-time time period, the setting method of these multiple time nodes is the same as that of the running time period. The real-time time period is used for real-time analysis and setting, that is, analysis and setting are performed on the current time node.

[0074] Figure 5 The block diagram of an intelligent LED control system based on audio analysis according to the present invention is shown.

[0075] The second aspect of the present invention also provides an intelligent LED control system 2 based on audio analysis. The system includes: a memory 51 and a processor 52. The memory 51 includes an intelligent LED control program based on audio analysis. When the intelligent LED control program based on audio analysis is executed by the processor 52, the following steps are implemented:

[0076] In the intelligent LED device, 220V is input to the isolation step-down constant voltage circuit. After stepping down and isolating the AC signal, a 52V DC voltage is generated, which is supplied to the step-down constant current dimming circuit and output to the color temperature adjustment circuit to form a dimming and color mixing constant current circuit. At the same time, the 52V DC voltage is transmitted to the 5V circuit, and the voltage is transmitted through the 5V circuit to the Bluetooth control module, the built-in storage circuit of the audio module, and the audio power amplifier circuit for power supply. The AC isolation detection circuit detects the switch action signal and transmits the signal to the Bluetooth control module and sets the control signal, and outputs the control signal to the color temperature adjustment circuit and the built-in storage circuit of the audio module;

[0077] The Bluetooth control module includes collecting ambient light source data for lighting control matching, setting instructions based on the input audio for audio control matching, and generating control signals based on audio and lighting;

[0078] During a running time period, usage feedback data of the intelligent LED device is obtained, and lighting state information and audio state information are periodically collected and analyzed based on the running time period. Based on the PCA analysis method, feature information extraction and correlation analysis are performed on lighting and audio, and feature correlation information is generated in combination with the feedback data, and real-time operation evaluation is performed through the feature correlation information.

[0079] According to an embodiment of the present invention, the intelligent LED device includes an isolation step-down constant voltage circuit, a step-down constant current dimming circuit, a color temperature adjustment circuit, a step-down constant voltage 5V circuit, an AC isolation detection circuit, a Bluetooth control module, a built-in storage circuit of the audio module, and an audio power amplifier circuit.

[0080] According to an embodiment of the present invention, the control signal is output to the color temperature adjustment circuit and the built-in storage circuit of the audio module. The color temperature adjustment circuit can adjust the brightness and color temperature of the LED device, and the built-in storage circuit of the audio module can adjust the audio power amplifier circuit for multi-scene audio playback.

[0081] It should be noted that a variety of scenario-based music is stored in the built-in storage circuit of the audio module, and it is played in matching with the preset mode and the lighting.

[0082] According to an embodiment of the present invention, the ambient light source data is collected for lighting control matching, and the audio control matching is performed based on the input audio setting instruction, and a control signal based on the audio and the lighting is generated, specifically:

[0083] During the operation of the intelligent LED device, the lighting matching setting is sent to the Bluetooth control module, the ambient color temperature and ambient brightness are analyzed based on the ambient light source data, and the lighting control matching is performed;

[0084] Audio analysis and control matching are performed based on the input audio setting instruction, and a control signal based on the audio and the lighting is generated.

[0085] It should be noted that the lighting matching setting and the audio setting instruction can be manually set and sent to the Bluetooth control module through the user terminal, specifically, the corresponding matching lighting effect is set based on the current ambient light source, and the corresponding audio signal is set based on the set scenario, so as to play the scenario-based music and lighting effects that meet the requirements.

[0086] According to an embodiment of the present invention, the usage feedback data of the intelligent LED device is obtained in an operation time period, and the lighting state information and audio state information are periodically collected and analyzed based on the operation time period. Based on the PCA analysis method, feature information extraction and correlation analysis are performed on the lighting and the audio, and feature correlation information is generated by combining the feedback data, and real-time operation evaluation is performed through the feature correlation information, specifically:

[0087] The operation time period is divided into multiple time nodes for periodic analysis;

[0088] The feedback data includes the operation effect feedback information of different time nodes;

[0089] In each time node, the lighting state information and audio state information during the operation of the intelligent LED device are obtained through the acquisition device;

[0090] Feature data extraction based on color temperature and brightness is performed on the lighting state information, and based on the PCA analysis method, data dimensionality reduction and secondary extraction are performed from the feature data to generate lighting feature data;

[0091] Feature extraction based on the spectrum and amplitude dimensions is performed on the audio state information, and based on the PCA analysis method, data dimensionality reduction and secondary extraction are performed from the feature data to generate audio feature data;

[0092] The lighting feature data and the audio feature data are respectively vectorized to form first vector data and second vector data;

[0093] Based on the Apriori algorithm, using the first vector data and the second vector data as the data set, setting the minimum support and the minimum confidence, performing data association analysis on the data set, and setting the association rules;

[0094] For each time node, set the corresponding association rules, and bind the association rules with the corresponding operation effect feedback information to form feature association information.

[0095] It should be noted that the operation effect feedback information is specifically the operation feedback information of the intelligent LED device under different operation conditions. This information includes a feedback evaluation value used to reflect the operation effect, which can be set by artificial evaluation or evaluated by existing algorithms. The acquisition device includes an audio acquisition device and a light source acquisition device.

[0096] It is worth mentioning here that in the actual state of simultaneous operation of audio and LED devices, it is difficult to conduct real-time effect evaluation in the state of multi-scene switching. Often, manual experience is required to participate in the analysis of the operation state of the device, and the degree of intelligence is not high.

[0097] Based on this, the present invention analyzes the characteristics of audio and light states in a time period, and analyzes the correlation between data by the Apriori algorithm. Here, the correlation between audio and light characteristics at specific time nodes is analyzed, and the correlation state of the associated data is saved through the association rules. Further, the association rules are bound with the feedback information, so as to realize the storage of association information in two dimensions of audio and LED lights. In the subsequent operation time period, the operation situation feedback evaluation can be quickly and accurately realized through the feature association information. For the time nodes corresponding to different audio and light settings, the operation effect is evaluated, effectively improving the intelligence of the device.

[0098] The third aspect of the present invention also provides a computer-readable storage medium, which includes an intelligent LED control program based on audio analysis. When the intelligent LED control program based on audio analysis is executed by a processor, the steps of the intelligent LED control method based on audio analysis as described in any one of the above are realized.

[0099] The present invention discloses an intelligent LED control method and system based on audio analysis. By integrating an isolated buck constant voltage circuit in the LED device, the 220V alternating current is converted into 52V direct current, which is supplied to the buck constant current dimming circuit and the color temperature adjustment circuit to realize the functions of dimming and color adjustment. At the same time, the 5V circuit powers the Bluetooth control module, the built-in storage circuit of the audio module, and the audio power amplifier circuit. The AC isolation detection circuit detects the switch signal and transmits it to the Bluetooth control module to generate a control signal to adjust the color temperature and audio playback. The Bluetooth control module collects ambient light source data and generates a matching control signal for the light and audio in combination with the audio instructions. The light and audio status information is periodically collected, the PCA analysis method is used to extract the feature information and perform correlation analysis, and the feature correlation information is generated in combination with the user feedback data to realize real-time operation evaluation and optimization. The present invention realizes the intelligent and scenario-based control of the light and audio, and improves the user experience and system performance.

[0100] In several embodiments provided by the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only illustrative. For example, the division of the units is only a logical function division, and there may be other division methods in actual implementation. For example, multiple units or components can be combined, or can be integrated into another system, or some features can be ignored, or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical, or other forms.

[0101] The units described above as separate components may or may not be physically separated, and the components shown as units may or may not be physical units; they can be located in one place or 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.

[0102] In addition, each functional unit in the embodiments of the present invention can be all integrated in one processing unit, or each unit can be separately used as a unit, or two or more units can be integrated in one unit; the above integrated units can be implemented in the form of hardware, or in the form of a combination of hardware and software functional units.

[0103] Those of ordinary skill in the art will understand that all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions. The foregoing program can be stored in a computer-readable storage medium. When the program is executed, it performs the steps of the above method embodiments. The foregoing storage medium includes various media that can store program codes, such as removable storage devices, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical discs.

[0104] Alternatively, if the above integrated unit of the present invention is implemented in the form of a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the embodiments of the present invention, in essence, or the part that contributes to the prior art can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in the various embodiments of the present invention. The foregoing storage medium includes various media that can store program codes, such as removable storage devices, ROM, RAM, magnetic disks, or optical discs.

[0105] The above is only the specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention can easily think of changes or substitutions, which should all be covered by the protection scope of the present invention.

Claims

1. An intelligent LED control method based on audio analysis, characterized in that Including: In an intelligent LED device, 220V is input to an isolation step-down constant voltage circuit. After stepping down and isolating the AC signal, a 52V DC voltage is generated, which is supplied to a step-down constant current dimming circuit and output to a color temperature adjustment circuit, forming a dimming and color mixing constant current circuit. At the same time, the 52V DC voltage is transmitted to a 5V circuit, and through the 5V circuit, the voltage is transmitted to a Bluetooth control module, an audio module built-in storage circuit, and an audio power amplifier circuit for power supply. The AC isolation detection circuit detects the switch action signal and transmits the signal to the Bluetooth control module to set the control signal, and outputs the control signal to the color temperature adjustment circuit and the audio module built-in storage circuit; The Bluetooth control module includes collecting ambient light source data for lighting control matching, performing audio control matching based on the input audio setting instruction, and generating a control signal based on audio and lighting; During an operating time period, obtain the usage feedback data of the intelligent LED device, periodically collect and analyze the lighting state information and audio state information based on the operating time period, based on the PCA analysis method, extract and correlate the feature information of the lighting and audio, generate feature correlation information in combination with the feedback data, and perform real-time operation evaluation through the feature correlation information.

2. The intelligent LED control method based on audio analysis according to claim 1, wherein The intelligent LED device includes an isolation step-down constant voltage circuit, a step-down constant current dimming circuit, a color temperature adjustment circuit, a step-down constant voltage 5V circuit, an AC isolation detection circuit, a Bluetooth control module, an audio module built-in storage circuit, and an audio power amplifier circuit.

3. An intelligent LED control method based on audio analysis according to claim 1, characterized in that In the output of the control signal to the color temperature adjustment circuit and the audio module built-in storage circuit, the color temperature adjustment circuit can adjust the brightness and color temperature of the LED device, and the audio module built-in storage circuit can adjust the audio power amplifier circuit for multi-scene audio playback.

4. The intelligent LED control method based on audio analysis according to claim 1, wherein The collection of ambient light source data for lighting control matching, performing audio control matching based on the input audio setting instruction, and generating a control signal based on audio and lighting is specifically: During the operation of the intelligent LED device, send the lighting matching setting to the Bluetooth control module, analyze the ambient color temperature and ambient brightness based on the ambient light source data, and perform lighting control matching; Perform audio analysis and control matching based on the input audio setting instruction, and generate a control signal based on audio and lighting.

5. An intelligent LED control method based on audio analysis according to claim 1, characterized in that The obtaining of the usage feedback data of the intelligent LED device during an operating time period, periodically collecting and analyzing the lighting state information and audio state information based on the operating time period, based on the PCA analysis method, extracting and correlating the feature information of the lighting and audio, generating feature correlation information in combination with the feedback data, and performing real-time operation evaluation through the feature correlation information is specifically: Divide the operating time period into multiple time nodes for periodic analysis; The feedback data includes the operation effect feedback information of different time nodes; At each time node, obtain the lighting state information and audio state information during the operation of the intelligent LED device through the acquisition device; Extract the feature data based on the color temperature and brightness of the lighting state information, and based on the PCA analysis method, perform data dimensionality reduction and secondary extraction from the feature data to generate lighting feature data; Extract features from the audio status information based on the spectrum and amplitude dimensions, and based on the PCA analysis method, perform data dimensionality reduction and secondary extraction from the feature data to generate audio feature data; Vectorize the light feature data and the audio feature data respectively to form the first vector data and the second vector data; Based on the Apriori algorithm, use the first vector data and the second vector data as the data set, set the minimum support and the minimum confidence, perform data association analysis on the data set, and set the association rules; Set corresponding association rules for each time node, and bind the association rules with the corresponding operation effect feedback information to form feature association information.

6. An intelligent LED control system based on audio analysis, characterized in that, The system includes: a memory and a processor. The memory includes an intelligent LED control program based on audio analysis. When the intelligent LED control program based on audio analysis is executed by the processor, the following steps are implemented: In the intelligent LED device, input 220V to the isolation step-down constant voltage circuit. After stepping down and isolating the AC signal, a 52V DC voltage is generated, which is provided to the step-down constant current dimming circuit and output to the color temperature adjustment circuit to form a dimming and color mixing constant current circuit. At the same time, the 52V DC voltage is transmitted to the 5V circuit, and the voltage is transmitted through the 5V circuit to the Bluetooth control module, the built-in storage circuit of the audio module, and the audio power amplifier circuit for power supply. The AC isolation detection circuit detects the switch action signal and transmits the signal to the Bluetooth control module and sets the control signal, and outputs the control signal to the color temperature adjustment circuit and the built-in storage circuit of the audio module; The Bluetooth control module includes collecting ambient light source data for lighting control matching, setting instructions based on the input audio for audio control matching, and generating control signals based on audio and lighting; Obtain the usage feedback data of the intelligent LED device in a running time period, periodically collect and analyze the lighting status information and the audio status information based on the running time period, perform feature information extraction and association analysis on the lighting and audio based on the PCA analysis method, generate feature association information in combination with the feedback data, and perform real-time operation evaluation through the feature association information.

7. An intelligent LED control system based on audio analysis according to claim 6, characterized in that, The intelligent LED device includes an isolation step-down constant voltage circuit, a step-down constant current dimming circuit, a color temperature adjustment circuit, a step-down constant voltage 5V circuit, an AC isolation detection circuit, a Bluetooth control module, a built-in storage circuit of the audio module, and an audio power amplifier circuit.

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