A method and related device for intelligently controlling power consumption of audio equipment

Abstract

The present invention discloses a method and related device for intelligent power consumption control of audio equipment, which relates to the field of data processing technology. The method includes: preprocessing real-time power consumption behavior data; performing power consumption analysis of calling resources for audio processing based on the real-time power consumption behavior data to detect power consumption of audio processing in combination with a power consumption detection model; performing power consumption event analysis based on the real-time power consumption behavior data to detect the remaining power of energy storage lithium batteries in audio equipment; calculating the remaining available time using an impact factor based on target audio processing power consumption and the remaining power; if the remaining available time is less than or equal to a preset threshold, controlling the audio equipment to enter a low-power operation mode; at this time, determining a low-power link for audio transmission to determine the corresponding target channel using audio diversity, and the audio equipment performs audio processing based on the target channel. The present invention can achieve more reliable power consumption control, so that the intelligent power consumption control of audio equipment can achieve a more ideal effect.

Description

Technical Field

[0001] The present invention mainly relates to the field of data processing technology, and in particular to a method for intelligently controlling power consumption of an audio device and a related device. Background Art

[0002] As people's living standards continue to improve, people's demand for the use of audio equipment is getting higher and higher, and power consumption control has also become an important technical indicator of audio equipment. In the power consumption control of audio equipment, it is usually judged whether it is necessary to enter the low-power operation mode by the remaining available time of the audio equipment. At present, the remaining available time of the audio equipment is usually calculated only by the remaining power, ignoring the influence of the audio processing power consumption on the remaining available time, resulting in the inability to obtain a more reliable remaining available time. In addition, in the calculation of the remaining power, it is usually roughly estimated by detecting the output voltage, but the accuracy of the remaining power calculation in this way is not high, which easily leads to a large deviation between the remaining power obtained and the actual situation, and it is impossible to accurately judge whether the audio device needs to enter the low-power operation mode, affecting the power consumption control of the audio device. When the audio device enters the low-power operation mode, the switching of the audio transmission link and the channel is rarely considered, which makes it difficult to meet the low-power demand and also affects the reliability of audio transmission. Summary of the invention

[0003] The purpose of the present invention is to overcome the deficiencies of the prior art. The present invention provides a method and related apparatus for intelligently controlling power consumption of an audio device, which can achieve more reliable power consumption control and enable the intelligent power consumption control of the audio device to achieve a more ideal effect.

[0004] In order to solve the above technical problems, the present invention provides an intelligent power consumption control method for an audio device, which is applied to an embedded real-time operating system and a power consumption control module in the audio device, wherein the embedded real-time operating system is connected to the power consumption control module; the method comprises:

[0005] Acquire real-time power consumption behavior data of audio processing behavior in the audio device based on the embedded real-time operating system, and pre-process the real-time power consumption behavior data to obtain pre-processed real-time power consumption behavior data;

[0006] Performing a power consumption analysis of audio processing call resources based on the preprocessed real-time power consumption behavior data to obtain the power consumption data of the call resources, and performing power consumption detection of the audio processing based on the power consumption data of the call resources combined with the power consumption detection model to obtain the target audio processing power consumption;

[0007] Perform power consumption event analysis based on the preprocessed real-time power consumption behavior data to obtain power consumption event data, and detect the remaining power of the energy storage lithium battery in the audio device based on the power consumption event data;

[0008] Calculate the remaining available time of the audio device using the influencing factor based on the target audio processing power consumption and the remaining power;

[0009] Compare the remaining available time with a preset threshold, and if the remaining available time is less than or equal to the preset threshold, control the audio device to enter a low power consumption operation mode based on the power consumption control module;

[0010] When the audio device enters a low-power operation mode, a power consumption control signal corresponding to the audio processing component in the audio device is obtained, a low-power link for audio transmission is determined based on the power consumption control signal, and a corresponding target channel is determined based on the low-power link using audio diversity, and the audio device performs low-power audio processing based on the target channel.

[0011] Optionally, preprocessing the real-time power consumption behavior data to obtain the preprocessed real-time power consumption behavior data includes:

[0012] Performing data cleaning on the real-time power consumption behavior data to obtain the real-time power consumption behavior data after data cleaning;

[0013] The real-time power consumption behavior data after data cleaning is subjected to data integration processing to obtain pre-processed real-time power consumption behavior data.

[0014] Optionally, the calling resource power consumption analysis of audio processing based on the pre-processed real-time power consumption behavior data to obtain the calling resource power consumption data, and the power consumption detection of audio processing based on the calling resource power consumption data combined with the power consumption detection model to obtain the target audio processing power consumption includes:

[0015] Extracting audio processing task queue data based on the preprocessed real-time power consumption behavior data, extracting resource demand features from the audio processing task queue data, and obtaining resource demand features;

[0016] Determine the computing network resource requirements using the task execution graph based on the resource requirement characteristics;

[0017] Performing a call resource power consumption analysis for audio processing based on the computing network resource requirements to obtain call resource power consumption data;

[0018] Acquire historical audio processing power consumption data of the audio device, perform flip data analysis of the observed signal based on the historical audio processing power consumption data, and obtain target flip data;

[0019] Performing a network node grade assessment based on the target rollover data to obtain a network node grade assessment coefficient, and adjusting a preset initial power consumption detection model based on the network node grade assessment coefficient to obtain a target power consumption detection model;

[0020] The power consumption detection of audio processing is performed based on the target power consumption detection model using the calling resource power consumption data to obtain the target audio processing power consumption.

[0021] Optionally, the performing power consumption event analysis based on the preprocessed real-time power consumption behavior data to obtain power consumption event data, and detecting the remaining power of the energy storage lithium battery in the audio device based on the power consumption event data, includes:

[0022] Perform power consumption event type analysis based on the pre-processed real-time power consumption behavior data to obtain power consumption event type data;

[0023] Calculate the power consumption ratio based on the power consumption event type data to obtain the power consumption ratio of each power consumption event type;

[0024] Calculating heat data of the energy storage lithium battery based on the power consumption ratio, and calculating heat loss of the energy storage lithium battery based on the heat data;

[0025] Output voltage data and output current data are extracted based on the preprocessed real-time power consumption behavior data, and the remaining power of the energy storage lithium battery in the audio device is determined based on the output voltage data, output current data and heat loss.

[0026] Optionally, the calculating the remaining available time of the audio device by using an impact factor based on the target audio processing power consumption and the remaining power includes:

[0027] Encode historical audio processing power consumption data to obtain a feature vector, and input the feature vector into a strategy function to obtain a probability distribution of influencing factors;

[0028] Determine a usage duration influencing factor based on the influencing factor probability distribution, and determine a corresponding weight factor based on the usage duration influencing factor;

[0029] The remaining available time of the audio device is calculated based on the target audio processing power consumption and the remaining power by using the reference transmission power combined with the weight factor.

[0030] Optionally, controlling the audio device to enter a low power consumption operation mode based on the power consumption control module includes:

[0031] A low power consumption control signal is sent to a corresponding audio processing component in the audio device based on the power consumption control module, and the corresponding audio processing component in the audio device is controlled to enter a low power consumption operation mode based on the low power consumption control signal.

[0032] Optionally, acquiring a power consumption control signal corresponding to an audio processing component in an audio device, determining a low power consumption link for audio transmission based on the power consumption control signal, and determining a corresponding target channel using audio diversity based on the low power consumption link includes:

[0033] Acquire a clock audio signal of an audio processing component in an audio device in a low power consumption operation mode, calculate a clock audio frequency based on the clock audio signal, and generate a power consumption control signal corresponding to the audio processing component based on the clock audio frequency;

[0034] Acquire a current audio data packet, and perform link time slot analysis based on the current audio data packet in combination with the power consumption control signal to obtain a forward link time slot and a reverse link time slot;

[0035] determining a low power link for audio transmission based on the forward link time slot and the reverse link time slot;

[0036] The current audio data packet is divided into a plurality of groups of channel data, and a corresponding target channel is determined based on the plurality of groups of channel data by using orthogonal frequency division multiplexing multiple access technology in combination with the low power consumption link.

[0037] In addition, the present invention also provides an intelligent power consumption control device for audio equipment, which is applied to an embedded real-time operating system and a power consumption control module in the audio equipment, wherein the embedded real-time operating system is connected to the power consumption control module; the device comprises:

[0038] Data preprocessing module: used for obtaining real-time power consumption behavior data of audio processing behavior in the audio device based on the embedded real-time operating system, and preprocessing the real-time power consumption behavior data to obtain the preprocessed real-time power consumption behavior data;

[0039] Power consumption detection module: used to perform power consumption analysis of calling resources for audio processing based on pre-processed real-time power consumption behavior data, obtain calling resource power consumption data, and perform power consumption detection of audio processing based on the calling resource power consumption data combined with the power consumption detection model to obtain target audio processing power consumption;

[0040] Remaining power detection module: used to analyze power consumption events based on the pre-processed real-time power consumption behavior data, obtain power consumption event data, and detect the remaining power of the energy storage lithium battery in the audio device based on the power consumption event data;

[0041] A remaining available time calculation module: used to calculate the remaining available time of the audio device based on the target audio processing power consumption and the remaining power using an impact factor;

[0042] A low power consumption operation mode determination module: used to compare the remaining available time with a preset threshold value, and if the remaining available time is less than or equal to the preset threshold value, the power consumption control module controls the audio device to enter the low power consumption operation mode;

[0043] Low-power audio processing module: used to obtain the power consumption control signal corresponding to the audio processing component in the audio device when the audio device enters the low-power operation mode, determine the low-power link of audio transmission based on the power consumption control signal, and determine the corresponding target channel based on the low-power link using audio diversity, and the audio device performs low-power audio processing based on the target channel.

[0044] In addition, the present invention also provides an intelligent power consumption control system for an audio device, the system comprising an embedded real-time operating system and a power consumption control module in the audio device, the embedded real-time operating system being connected to the power consumption control module, and the system being configured to execute the above-mentioned intelligent power consumption control method for the audio device.

[0045] In addition, the present invention also provides a computer-readable storage medium, which stores computer instructions. When the computer instructions are executed on an electronic device, the electronic device executes the above-mentioned intelligent power consumption control method for an audio device.

[0046] In an embodiment of the present invention, based on the pre-processed real-time power consumption behavior data, the power consumption analysis of the calling resources for audio processing is performed using the computing network resource requirements, so that more accurate power consumption data of the calling resources can be obtained. Power consumption detection of audio processing based on the calling resource power consumption data combined with the power consumption detection model can effectively improve the reliability of the power consumption detection results. The remaining power of the energy storage lithium battery in the audio device is detected based on the power consumption event data obtained by performing power consumption event analysis based on the pre-processed real-time power consumption behavior data, which can improve the accuracy of the remaining power detection without affecting the efficiency of the remaining power calculation, and avoid excessive deviation between the obtained remaining power and the actual situation. The remaining available time of the audio device is calculated based on the target audio processing power consumption and the remaining power using the influencing factor, and the remaining available time obtained can more accurately determine whether the audio device needs to enter the low power operation mode, thereby achieving more reliable and intelligent power consumption control. When the audio device enters a low-power operation mode, a low-power link for audio transmission is determined based on the acquired power consumption control signal, and a corresponding target channel is determined based on the low-power link using audio diversity. The audio device performs low-power audio processing based on the target channel, thereby ensuring low latency and high precision of audio transmission while meeting low-power consumption requirements, and avoiding affecting the audio processing effect due to entering a low-power operation mode. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0048] Figure 1 is a flow chart of a method for intelligently controlling power consumption of an audio device in an embodiment of the present invention;

[0049] Figure 2 is a flow chart of a method for intelligently controlling power consumption of an audio device in another embodiment of the present invention;

[0050] Figure 3 is a schematic diagram of the structure of the intelligent power consumption control system of the audio device in the embodiment of the present invention;

[0051] Figure 4 It is a schematic diagram of the structure of the intelligent power consumption control device of the audio device in the embodiment of the present invention. DETAILED DESCRIPTION

[0052] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0053] Embodiment 1

[0054] See also Figure 1 , Figure 1 : is a flow chart of a method for intelligently controlling power consumption of an audio device in an embodiment of the present invention, the method is applied to an embedded real-time operating system and a power consumption control module in an audio device, the embedded real-time operating system is connected to the power consumption control module; the method comprises:

[0055] S11: acquiring real-time power consumption behavior data of audio processing behavior in the audio device based on the embedded real-time operating system, and preprocessing the real-time power consumption behavior data to obtain preprocessed real-time power consumption behavior data;

[0056] In the specific implementation process of the present invention, the real-time power consumption behavior data is preprocessed to obtain the preprocessed real-time power consumption behavior data, including: performing data cleaning processing on the real-time power consumption behavior data to obtain the real-time power consumption behavior data after data cleaning processing; performing data integration processing on the real-time power consumption behavior data after data cleaning processing to obtain the preprocessed real-time power consumption behavior data.

[0057] Specifically, based on the embedded real-time operating system, the real-time power consumption behavior data of the audio processing behavior in the audio device is obtained. The real-time power consumption behavior data includes the throughput of audio processing, the power consumption behavior and power consumption data of task processing in each audio processing component, etc. The audio processing behavior includes audio transmission and audio playback, etc. The audio device can be a Bluetooth audio device. The real-time power consumption behavior data is cleaned, and the real-time power consumption behavior data is cleaned of special characters and abnormal data to obtain the real-time power consumption behavior data after the data cleaning process. The real-time power consumption behavior data after the data cleaning process is integrated, and the real-time power consumption behavior data after the data cleaning process is standardized in data format. The real-time power consumption behavior data after the data format standardization process is reorganized to strengthen the internal connection between the data. The data integration process is completed, that is, the preprocessing of the data is completed, and the real-time power consumption behavior data after the preprocessing is obtained.

[0058] S12: performing a power consumption analysis of the calling resources for audio processing based on the pre-processed real-time power consumption behavior data to obtain the calling resource power consumption data, and performing power consumption detection of the audio processing based on the calling resource power consumption data in combination with a power consumption detection model to obtain the target audio processing power consumption;

[0059] In the specific implementation process of the present invention, the calling resource power consumption analysis for audio processing based on the pre-processed real-time power consumption behavior data obtains the calling resource power consumption data, and the power consumption detection for audio processing is performed based on the calling resource power consumption data combined with the power consumption detection model to obtain the target audio processing power consumption, including: extracting audio processing task queue data based on the pre-processed real-time power consumption behavior data, extracting resource demand characteristics of the audio processing task queue data, and obtaining resource demand characteristics; determining the computing network resource requirements based on the task execution graph based on the resource demand characteristics; performing the calling resource power consumption analysis for audio processing based on the computing network resource requirements to obtain the calling resource power consumption data; obtaining the historical audio processing power consumption data of the audio device, performing the flip data analysis of the observed signal based on the historical audio processing power consumption data to obtain the target flip data; performing network node level assessment based on the target flip data to obtain the network node level assessment coefficient, and adjusting the preset initial power consumption detection model based on the network node level assessment coefficient to obtain the target power consumption detection model; performing power consumption detection for audio processing based on the target power consumption detection model using the calling resource power consumption data to obtain the target audio processing power consumption.

[0060] Specifically, based on the pre-processed real-time power consumption behavior data, audio processing task queue data is extracted, the audio processing task queue data includes the order and execution time of the processing tasks, etc., resource demand features are extracted for the audio processing task queue data, and the audio processing task queue data is input into the resource demand feature extraction model for feature extraction to obtain resource demand features, which include computing resources, memory resources, and communication resources, etc. Based on the resource demand features, the computing network resource requirements are determined using the task execution graph, historical audio processing tasks are obtained, the historical audio processing tasks are decomposed to obtain a number of historical audio processing subtasks, and dependency analysis is performed on each historical audio processing subtask to obtain the dependency between historical audio processing subtasks, and the computing network resource requirements of each historical audio processing subtask are obtained. The computing network resource requirements include computing resources, memory resources, and communication resources, etc. A task execution graph is constructed according to the dependency between historical audio processing subtasks and the computing network resource requirements, and the resource demand features are input into the task execution graph to determine the total computing network resource requirements. Based on the computing network resource requirements, the calling resource power consumption analysis of audio processing is performed, that is, the power consumption data corresponding to the audio processing performed by the computing network resource requirements is analyzed to obtain the calling resource power consumption data. The historical audio processing power consumption data of the audio device is obtained, and the flip data of the observed signal is analyzed based on the historical audio processing power consumption data. The audio processing simulation is performed in the simulation software according to the historical audio processing power consumption data, and the observed signal in the simulation is analyzed, and the signal flip amount of the observed signal is analyzed, and the signal flip amount of the observed signal is obtained. The signal flip is the process of converting the signal from one logical state to another state during the transmission process, that is, the target flip data is obtained. The network node level is evaluated based on the target flip data, and the initial weight is assigned to the target flip data, and the weight constraint is set. The data label is determined according to the initial weight preset, and the target flip data is evaluated according to the evaluation analysis function to obtain the feature evaluation value. The network node level is evaluated for the preset initial power consumption detection model according to the feature evaluation value and the data label, and the network node level evaluation coefficient is obtained. The preset initial power consumption detection model is adjusted based on the network node level evaluation coefficient. The initial power consumption detection model is a topological network, which includes a number of network nodes for power consumption detection. The nodes of the initial power consumption detection model are adjusted according to the network node level evaluation coefficient, and the adjusted power consumption detection model is the target power consumption detection model. The power consumption detection of audio processing is performed based on the target power consumption detection model using the calling resource power consumption data to obtain the target audio processing power consumption.

[0061] S13: performing power consumption event analysis based on the preprocessed real-time power consumption behavior data to obtain power consumption event data, and detecting the remaining power of the energy storage lithium battery in the audio device based on the power consumption event data;

[0062] In the specific implementation process of the present invention, the power consumption event analysis is performed based on the preprocessed real-time power consumption behavior data to obtain the power consumption event data, and the remaining power of the energy storage lithium battery in the audio device is detected based on the power consumption event data, including: performing power consumption event type analysis based on the preprocessed real-time power consumption behavior data to obtain power consumption event type data; performing power consumption ratio calculation based on the power consumption event type data to obtain the power consumption ratio of each power consumption event type; calculating the heat data of the energy storage lithium battery based on the power consumption ratio, and calculating the heat loss of the energy storage lithium battery based on the heat data; extracting output voltage data and output current data based on the preprocessed real-time power consumption behavior data, and determining the remaining power of the energy storage lithium battery in the audio device based on the output voltage data, output current data and heat loss.

[0063] Specifically, based on the pre-processed real-time power consumption behavior data, power consumption event type analysis is performed, the power consumption behavior of task processing in each audio processing component is extracted from the pre-processed real-time power consumption behavior data, the behavior label string of each power consumption behavior is obtained, the type label string of each power consumption event type in the power consumption event database is obtained, the joint probability distribution of the behavior label string and the type label string is constructed, the joint probability distribution is sampled to obtain the sampled string, the first distance matrix between the behavior label string and the sampled string is calculated, the second distance matrix between the type label string and the sampled string is calculated, and the similarity between the power consumption behavior and each power consumption event type is calculated according to the first distance matrix and the second distance matrix, and the power consumption event type with the highest similarity is used as the power consumption event type of the power consumption behavior, such as the uploading of audio data packets of different sizes, to obtain power consumption event type data. Based on the power consumption event type data, the power consumption ratio is calculated, the number of actions of each power consumption event type is counted, the power consumption ratio is calculated according to the number of actions, and the power consumption ratio of each power consumption event type is obtained. Based on the power consumption ratio, the heat data of the energy storage lithium battery is calculated, the heat data includes the thermal conductivity and thermal resistance, etc., and the heat loss of the energy storage lithium battery is calculated based on the heat data, and the real-time environmental parameters are obtained. The real-time environmental parameters include the ambient temperature, and a correlation equation is established according to the heat data and the real-time environmental parameters. The heat loss of the energy storage lithium battery is calculated according to the correlation equation combined with the temperature change of the energy storage lithium battery. Based on the pre-processed real-time power consumption behavior data, the output voltage data and the output current data are extracted, and the remaining power of the energy storage lithium battery in the audio device is determined based on the output voltage data, the output current data and the heat loss. The error correction value is determined based on the initial power and output current data of the energy storage lithium battery in the audio device using the charge and discharge capacity curve, and the remaining power of the energy storage lithium battery in the audio device is determined based on the output voltage data, the output current data and the heat loss combined with the error correction value. A more accurate remaining power can be obtained to avoid the remaining power obtained being inconsistent with the actual remaining power of the battery.

[0064] S14: Calculating the remaining available time of the audio device using the impact factor based on the target audio processing power consumption and the remaining power;

[0065] In the specific implementation process of the present invention, the remaining available time of the audio device is calculated based on the target audio processing power consumption and the remaining power using the influencing factor, including: encoding the historical audio processing power consumption data to obtain a feature vector, and inputting the feature vector into the strategy function to obtain the probability distribution of the influencing factor; determining the usage time influencing factor based on the influencing factor probability distribution, and determining the corresponding weight factor based on the usage time influencing factor; based on the target audio processing power consumption and the remaining power, the remaining available time of the audio device is calculated using the reference transmission power combined with the weight factor.

[0066] Specifically, the historical audio processing power consumption data is encoded, that is, the historical audio processing power consumption data is feature encoded to obtain a feature vector, and the feature vector is input into the strategy function. The initial strategy function is adjusted according to the probability evaluation of the influencing factor by the reward function to obtain the target strategy function. The target strategy function can adapt to the prediction behavior of the correct influencing factor, and the probability distribution of the influencing factor is predicted by inputting the feature vector into the target strategy function to obtain the probability distribution of the influencing factor. Based on the probability distribution of the influencing factor, the usage time influencing factor is determined, and the usage time influencing factor includes positive and negative impacts on the usage time. Based on the usage time influencing factor, the corresponding weight factor is determined, and the corresponding weight factor can be matched in the database. Based on the target audio processing power consumption and the remaining power, the remaining available time of the audio device is calculated using the reference transmission power combined with the weight factor. The reference transmission power is determined by the current playback power and the specified transmission power of the audio device, so that the calculation parameters of the remaining available time are more comprehensive and specific, and the calculation accuracy of the remaining available time is improved.

[0067] S15: comparing the remaining available time with a preset threshold, and if the remaining available time is less than or equal to the preset threshold, controlling the audio device to enter a low power consumption operation mode based on the power consumption control module;

[0068] In the specific implementation process of the present invention, the power consumption control module is used to control the audio device to enter a low power consumption operation mode, including: sending a low power consumption control signal to a corresponding audio processing component in the audio device based on the power consumption control module, and controlling the corresponding audio processing component in the audio device to enter a low power consumption operation mode based on the low power consumption control signal.

[0069] Specifically, the remaining available time is compared with a preset threshold value. If the remaining available time is less than or equal to the preset threshold value, a low power control signal is sent to the corresponding audio processing component in the audio device based on the power consumption control module, and the corresponding audio processing component in the audio device is controlled to enter a low power operation mode based on the low power control signal. If the remaining available time is greater than the preset threshold value, the remaining available time of the audio device is continued to be calculated until the remaining available time is less than or equal to the preset threshold value, and the audio device is controlled to enter a low power operation mode. When the remaining available time of the audio device is less than or equal to the preset threshold value, the audio device is controlled to enter a low power operation mode, which can reduce the power consumption of the audio device, improve the effect of power consumption control, effectively extend the battery life of the audio device, and effectively control the power consumption of the audio device, so as to avoid the audio device from shutting down the device too quickly due to insufficient remaining available time, thereby realizing intelligent control of the power consumption of the audio device.

[0070] S16: When the audio device enters a low power operation mode, a power consumption control signal corresponding to the audio processing component in the audio device is obtained, a low power consumption link for audio transmission is determined based on the power consumption control signal, and a corresponding target channel is determined based on the low power consumption link using audio diversity, and the audio device performs low power consumption audio processing based on the target channel.

[0071] In the specific implementation process of the present invention, the method of obtaining a power consumption control signal corresponding to an audio processing component in an audio device, determining a low power consumption link for audio transmission based on the power consumption control signal, and determining a corresponding target channel based on the low power consumption link using audio diversity includes: obtaining a clock audio signal of an audio processing component in an audio device in a low power consumption operation mode, calculating a clock audio frequency based on the clock audio signal, and generating a power consumption control signal corresponding to the audio processing component based on the clock audio frequency; obtaining a current audio data packet, performing a link time slot analysis based on the current audio data packet in combination with the power consumption control signal to obtain a forward link time slot and a reverse link time slot; determining a low power consumption link for audio transmission based on the forward link time slot and the reverse link time slot; dividing the current audio data packet into a plurality of groups of diversity channel data, and determining a corresponding target channel based on the plurality of groups of diversity channel data using orthogonal frequency division multiplexing multiple access technology in combination with the low power consumption link.

[0072] Specifically, when the audio device enters the low-power operation mode, the clock audio signal of the audio processing component in the audio device in the low-power operation mode is obtained, the analog audio signal of the audio processing component is first obtained, the analog audio signal is converted into digital form, the digital audio signal is synchronized, and the clock audio signal is obtained. The clock audio frequency is calculated based on the clock audio signal, the signal segment of the clock audio signal is intercepted according to the short time window function, the periodic signal of the signal segment is calculated according to the autocorrelation function, and the clock audio frequency is calculated according to the periodic signal. Based on the clock audio frequency, a power consumption control signal corresponding to the audio processing component is generated, and the power consumption control signal is generated according to the clock audio frequency using the sleep audio frequency. The power consumption control signal generated by the clock audio frequency can ensure the time synchronization of low-power operation between audio processing components. The current audio data packet is obtained, and the link time slot analysis is performed based on the current audio data packet combined with the power consumption control signal, and the time slot of the current audio data packet is obtained. According to the time slot of the current audio data packet combined with the power consumption control signal, the link time slot analysis is performed using a preset time slot analysis structure to obtain the forward link time slot and the reverse link time slot. Based on the forward link time slot and the reverse link time slot, a low-power link for audio transmission is determined. According to the audio transmission protocol, the forward link time slot and the reverse link time slot are used to determine the low-power link for audio transmission. The low-power link established in this way has the advantage of high time resource utilization efficiency. The current audio data packet is divided into several groups of collection channel data. Based on several groups of collection channel data, the corresponding target channel is determined by using orthogonal frequency division multiplexing multiple access technology in combination with the low-power link. The orthogonal frequency division multiplexing multiple access technology supports the segmentation of bandwidth, so as to efficiently transmit audio data, improve performance and data throughput while reducing power consumption, and determine the channel in the isochronous stream link by using orthogonal frequency division multiplexing multiple access technology according to several groups of collection channel data, and combine it with the low-power link to obtain the required target channel. The audio device performs low-power audio processing based on the target channel. The audio processing includes audio transmission and audio playback, so that the transmission delay can be reduced and the reliability of audio transmission can be improved while meeting the low-power consumption requirements, and the audio processing performance is avoided to be affected by the audio device entering the low-power operation mode. At the same time, after the audio device enters the low power operation mode, the remaining available time of the audio device continues to be calculated. When the remaining available time of the audio device is less than or equal to the preset emergency threshold, the audio device is controlled to enter the emergency energy saving mode and a prompt message is sent to the user.

[0073] In an embodiment of the present invention, based on the pre-processed real-time power consumption behavior data, the power consumption analysis of the calling resources for audio processing is performed using the computing network resource requirements, so that more accurate power consumption data of the calling resources can be obtained. Power consumption detection of audio processing based on the calling resource power consumption data combined with the power consumption detection model can effectively improve the reliability of the power consumption detection results. The remaining power of the energy storage lithium battery in the audio device is detected based on the power consumption event data obtained by performing power consumption event analysis based on the pre-processed real-time power consumption behavior data, which can improve the accuracy of the remaining power detection without affecting the efficiency of the remaining power calculation, and avoid excessive deviation between the obtained remaining power and the actual situation. The remaining available time of the audio device is calculated based on the target audio processing power consumption and the remaining power using the influencing factor, and the remaining available time obtained can more accurately determine whether the audio device needs to enter the low power operation mode, thereby achieving more reliable and intelligent power consumption control. When the audio device enters a low-power operation mode, a low-power link for audio transmission is determined based on the acquired power consumption control signal, and a corresponding target channel is determined based on the low-power link using audio diversity. The audio device performs low-power audio processing based on the target channel, thereby ensuring low latency and high precision of audio transmission while meeting low-power consumption requirements, and avoiding affecting the audio processing effect due to entering a low-power operation mode.

[0074] Embodiment 2

[0075] See also Figure 2 , Figure 2 : is a flow chart of a method for intelligently controlling power consumption of an audio device in another embodiment of the present invention, the method is applied to an embedded real-time operating system and a power consumption control module in the audio device, the embedded real-time operating system is connected to the power consumption control module; the method comprises:

[0076] S201: acquiring real-time power consumption behavior data of audio processing behavior in an audio device based on an embedded real-time operating system, and preprocessing the real-time power consumption behavior data to obtain preprocessed real-time power consumption behavior data;

[0077] S202: extracting audio processing task queue data based on the pre-processed real-time power consumption behavior data, and extracting resource demand features from the audio processing task queue data to obtain resource demand features;

[0078] S203: Determine the computing network resource demand using the task execution graph based on the resource demand characteristics;

[0079] S204: performing a power consumption analysis of resources for audio processing based on the computing network resource requirements to obtain power consumption data of resources;

[0080] S205: Acquire historical audio processing power consumption data of the audio device, and perform flip data analysis of the observed signal based on the historical audio processing power consumption data to obtain target flip data;

[0081] S206: performing a network node grade assessment based on the target rollover data to obtain a network node grade assessment coefficient, and adjusting a preset initial power consumption detection model based on the network node grade assessment coefficient to obtain a target power consumption detection model;

[0082] S207: Performing power consumption detection for audio processing using the calling resource power consumption data based on the target power consumption detection model to obtain target audio processing power consumption;

[0083] S208: performing power consumption event analysis based on the preprocessed real-time power consumption behavior data to obtain power consumption event data, and detecting the remaining power of the energy storage lithium battery in the audio device based on the power consumption event data;

[0084] S209: Calculating the remaining available time of the audio device using the impact factor based on the target audio processing power consumption and the remaining power;

[0085] S210: Determine whether the remaining available time is less than or equal to a preset threshold;

[0086] In the specific implementation process of the present invention, if it is determined that the remaining available time is less than or equal to the preset threshold, step S211 is entered; if it is determined that the remaining available time is greater than the preset threshold, step S201 is entered to continue to obtain real-time power consumption behavior data to calculate the remaining available time of the audio device.

[0087] S211: Controlling the audio device to enter a low power consumption operation mode based on the power consumption control module;

[0088] S212: When the audio device enters a low power operation mode, a power consumption control signal corresponding to the audio processing component in the audio device is obtained, a low power consumption link for audio transmission is determined based on the power consumption control signal, and a corresponding target channel is determined based on the low power consumption link using audio diversity, and the audio device performs low power audio processing based on the target channel.

[0089] In an embodiment of the present invention, based on the pre-processed real-time power consumption behavior data, the power consumption analysis of the calling resources for audio processing is performed using the computing network resource requirements, so that more accurate power consumption data of the calling resources can be obtained. Power consumption detection of audio processing based on the calling resource power consumption data combined with the power consumption detection model can effectively improve the reliability of the power consumption detection results. The remaining power of the energy storage lithium battery in the audio device is detected based on the power consumption event data obtained by performing power consumption event analysis based on the pre-processed real-time power consumption behavior data, which can improve the accuracy of the remaining power detection without affecting the efficiency of the remaining power calculation, and avoid excessive deviation between the obtained remaining power and the actual situation. The remaining available time of the audio device is calculated based on the target audio processing power consumption and the remaining power using the influencing factor, and the remaining available time obtained can more accurately determine whether the audio device needs to enter the low power operation mode, thereby achieving more reliable and intelligent power consumption control. When the audio device enters a low-power operation mode, a low-power link for audio transmission is determined based on the acquired power consumption control signal, and a corresponding target channel is determined based on the low-power link using audio diversity. The audio device performs low-power audio processing based on the target channel, thereby ensuring low latency and high precision of audio transmission while meeting low-power consumption requirements, and avoiding affecting the audio processing effect due to entering a low-power operation mode.

[0090] Embodiment 3

[0091] See also Figure 3 , Figure 3 It is a schematic diagram of the structural composition of the power consumption intelligent control system of the audio device in the embodiment of the present invention. The system includes an embedded real-time operating system 31 and a power consumption control module 32 in the audio device. The embedded real-time operating system 31 is connected to the power consumption control module 32. The system is configured to execute the power consumption intelligent control method of the audio device in the above embodiment.

[0092] In the specific implementation process of the present invention, the embedded real-time operating system 31 is used to perform data analysis, and determine whether the audio device needs to enter the low-power operation mode based on the data analysis results. If it is determined that the audio device needs to enter the low-power operation mode, a control signal is sent to the power consumption control module 32. At the same time, when the audio device enters the low-power operation mode, the embedded real-time operating system 31 determines the low-power link of audio transmission according to the power consumption control signal, and determines the corresponding target channel based on the low-power link using audio diversity to ensure that the audio device will not affect the audio processing performance due to entering the low-power operation mode. The power consumption control module 32 uses its power consumption control circuit to control the corresponding audio processing components in the audio device to enter the low-power operation mode according to the received control signal.

[0093] at the same time, Figure 3The power consumption intelligent control system of the audio device shown does not constitute a limitation on all components, and may include more or fewer components than shown in the figure, or combine certain components. The specific implementation method can be found in the above embodiment, which will not be described in detail here.

[0094] In an embodiment of the present invention, based on the pre-processed real-time power consumption behavior data, the power consumption analysis of the calling resources for audio processing is performed using the computing network resource requirements, so that more accurate power consumption data of the calling resources can be obtained. Power consumption detection of audio processing based on the calling resource power consumption data combined with the power consumption detection model can effectively improve the reliability of the power consumption detection results. The remaining power of the energy storage lithium battery in the audio device is detected based on the power consumption event data obtained by performing power consumption event analysis based on the pre-processed real-time power consumption behavior data, which can improve the accuracy of the remaining power detection without affecting the efficiency of the remaining power calculation, and avoid excessive deviation between the obtained remaining power and the actual situation. The remaining available time of the audio device is calculated based on the target audio processing power consumption and the remaining power using the influencing factor, and the remaining available time obtained can more accurately determine whether the audio device needs to enter the low power operation mode, thereby achieving more reliable and intelligent power consumption control. When the audio device enters a low-power operation mode, a low-power link for audio transmission is determined based on the acquired power consumption control signal, and a corresponding target channel is determined based on the low-power link using audio diversity. The audio device performs low-power audio processing based on the target channel, thereby ensuring low latency and high precision of audio transmission while meeting low-power consumption requirements, and avoiding affecting the audio processing effect due to entering a low-power operation mode.

[0095] Embodiment 4

[0096] See also Figure 4 , Figure 4 : is a structural diagram of an intelligent power consumption control device for an audio device in an embodiment of the present invention, wherein the device is applied to an embedded real-time operating system and a power consumption control module in an audio device, wherein the embedded real-time operating system is connected to the power consumption control module; the device comprises:

[0097] The data preprocessing module 41 is used to obtain the real-time power consumption behavior data of the audio processing behavior in the audio device based on the embedded real-time operating system, and preprocess the real-time power consumption behavior data to obtain the preprocessed real-time power consumption behavior data;

[0098] The power consumption detection module 42 is used to perform a power consumption analysis of the calling resource for audio processing based on the pre-processed real-time power consumption behavior data, obtain the calling resource power consumption data, and perform power consumption detection of the audio processing based on the calling resource power consumption data combined with the power consumption detection model to obtain the target audio processing power consumption;

[0099] The remaining power detection module 43 is used to perform power consumption event analysis based on the pre-processed real-time power consumption behavior data, obtain power consumption event data, and detect the remaining power of the energy storage lithium battery in the audio device based on the power consumption event data;

[0100] The remaining available time calculation module 44 is used to calculate the remaining available time of the audio device based on the target audio processing power consumption and the remaining power using the influencing factor;

[0101] The low power consumption operation mode determination module 45 is used to compare the remaining available time with a preset threshold value, and if the remaining available time is less than or equal to the preset threshold value, the power consumption control module controls the audio device to enter the low power consumption operation mode;

[0102] Low-power audio processing module 46: used to obtain a power consumption control signal corresponding to the audio processing component in the audio device when the audio device enters a low-power operation mode, determine a low-power link for audio transmission based on the power consumption control signal, and determine a corresponding target channel based on the low-power link using audio diversity, and the audio device performs low-power audio processing based on the target channel.

[0103] In the specific implementation process of the present invention, the specific implementation methods of the device items can be referred to the above embodiments, which will not be repeated here.

[0104] In an embodiment of the present invention, based on the pre-processed real-time power consumption behavior data, the power consumption analysis of the calling resources for audio processing is performed using the computing network resource requirements, so that more accurate power consumption data of the calling resources can be obtained. Power consumption detection of audio processing based on the calling resource power consumption data combined with the power consumption detection model can effectively improve the reliability of the power consumption detection results. The remaining power of the energy storage lithium battery in the audio device is detected based on the power consumption event data obtained by performing power consumption event analysis based on the pre-processed real-time power consumption behavior data, which can improve the accuracy of the remaining power detection without affecting the efficiency of the remaining power calculation, and avoid excessive deviation between the obtained remaining power and the actual situation. The remaining available time of the audio device is calculated based on the target audio processing power consumption and the remaining power using the influencing factor, and the remaining available time obtained can more accurately determine whether the audio device needs to enter the low power operation mode, thereby achieving more reliable and intelligent power consumption control. When the audio device enters a low-power operation mode, a low-power link for audio transmission is determined based on the acquired power consumption control signal, and a corresponding target channel is determined based on the low-power link using audio diversity. The audio device performs low-power audio processing based on the target channel, thereby ensuring low latency and high precision of audio transmission while meeting low-power consumption requirements, and avoiding affecting the audio processing effect due to entering a low-power operation mode.

[0105] An embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored. When the program is executed by a processor, the method for intelligently controlling power consumption of an audio device in any of the above embodiments is implemented. The computer-readable storage medium includes, but is not limited to, any type of disk (including floppy disk, hard disk, optical disk, CD-ROM, and magneto-optical disk), ROM (Read-Only Memory), RAM (Random Access Memory), EPROM (EraSable Programmable Read-Only Memory), EEPROM (Electrically Erasable Programmable Read-Only Memory), flash memory, magnetic card or optical card. That is, the storage device includes any medium that can store or transmit information in a readable form by a device (for example, a computer, a mobile phone), which can be a read-only memory, a disk or an optical disk, etc.

[0106] In addition, the above is a detailed introduction to the intelligent power consumption control method and related devices of an audio device provided by an embodiment of the present invention. Specific examples are used herein to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. At the same time, for a person skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A method for intelligently controlling power consumption of an audio device, characterized in that: A power consumption control module applied to an embedded real-time operating system and an audio device, wherein the embedded real-time operating system is connected to the power consumption control module; the method comprises: Acquire real-time power consumption behavior data of audio processing behavior in the audio device based on the embedded real-time operating system, and pre-process the real-time power consumption behavior data to obtain pre-processed real-time power consumption behavior data; Performing a power consumption analysis of audio processing call resources based on the preprocessed real-time power consumption behavior data to obtain the power consumption data of the call resources, and performing power consumption detection of the audio processing based on the power consumption data of the call resources combined with the power consumption detection model to obtain the target audio processing power consumption; Perform power consumption event analysis based on the preprocessed real-time power consumption behavior data to obtain power consumption event data, and detect the remaining power of the energy storage lithium battery in the audio device based on the power consumption event data; Calculate the remaining available time of the audio device using the influencing factor based on the target audio processing power consumption and the remaining power; Compare the remaining available time with a preset threshold, and if the remaining available time is less than or equal to the preset threshold, control the audio device to enter a low power consumption operation mode based on the power consumption control module; When the audio device enters a low-power operation mode, obtaining a power consumption control signal corresponding to the audio processing component in the audio device, determining a low-power link for audio transmission based on the power consumption control signal, and determining a corresponding target channel based on the low-power link using audio diversity, and the audio device performs low-power audio processing based on the target channel; Among them, the calling resource power consumption analysis for audio processing based on the pre-processed real-time power consumption behavior data to obtain the calling resource power consumption data, and the power consumption detection for audio processing based on the calling resource power consumption data combined with the power consumption detection model to obtain the target audio processing power consumption, including: extracting audio processing task queue data based on the pre-processed real-time power consumption behavior data, extracting resource demand characteristics for the audio processing task queue data to obtain resource demand characteristics; determining the computing network resource requirements based on the task execution graph based on the resource demand characteristics; performing the calling resource power consumption analysis for audio processing based on the computing network resource requirements to obtain the calling resource power consumption data; obtaining the historical audio processing power consumption data of the audio device, performing the flip data analysis of the observed signal based on the historical audio processing power consumption data to obtain the target flip data; performing network node level assessment based on the target flip data to obtain the network node level assessment coefficient, and adjusting the preset initial power consumption detection model based on the network node level assessment coefficient to obtain the target power consumption detection model; performing power consumption detection for audio processing based on the target power consumption detection model using the calling resource power consumption data to obtain the target audio processing power consumption; The method of obtaining a power consumption control signal corresponding to an audio processing component in an audio device, determining a low power consumption link for audio transmission based on the power consumption control signal, and determining a corresponding target channel based on the low power consumption link by using audio diversity includes: obtaining a clock audio signal of an audio processing component in an audio device in a low power consumption operation mode, calculating a clock audio frequency based on the clock audio signal, and generating a power consumption control signal corresponding to the audio processing component based on the clock audio frequency; obtaining a current audio data packet, performing a link time slot analysis based on the current audio data packet in combination with the power consumption control signal to obtain a forward link time slot and a reverse link time slot; determining a low power consumption link for audio transmission based on the forward link time slot and the reverse link time slot; dividing the current audio data packet into a plurality of groups of diversity channel data, and determining a corresponding target channel based on the plurality of groups of diversity channel data by using orthogonal frequency division multiplexing multiple access technology in combination with the low power consumption link.

2. The method for intelligently controlling power consumption of an audio device according to claim 1, characterized in that: The preprocessing of the real-time power consumption behavior data to obtain the preprocessed real-time power consumption behavior data includes: Performing data cleaning on the real-time power consumption behavior data to obtain the real-time power consumption behavior data after data cleaning; The real-time power consumption behavior data after data cleaning is subjected to data integration processing to obtain pre-processed real-time power consumption behavior data.

3. The method for intelligently controlling power consumption of an audio device according to claim 1, characterized in that: The power consumption event analysis is performed based on the pre-processed real-time power consumption behavior data to obtain the power consumption event data, and the remaining power of the energy storage lithium battery in the audio device is detected based on the power consumption event data, including: Perform power consumption event type analysis based on the pre-processed real-time power consumption behavior data to obtain power consumption event type data; Calculate the power consumption ratio based on the power consumption event type data to obtain the power consumption ratio of each power consumption event type; Calculating heat data of the energy storage lithium battery based on the power consumption ratio, and calculating heat loss of the energy storage lithium battery based on the heat data; Output voltage data and output current data are extracted based on the preprocessed real-time power consumption behavior data, and the remaining power of the energy storage lithium battery in the audio device is determined based on the output voltage data, output current data and heat loss.

4. The method for intelligently controlling power consumption of an audio device according to claim 1, characterized in that: The calculating the remaining available time of the audio device based on the target audio processing power consumption and the remaining power using the influencing factor includes: Encode historical audio processing power consumption data to obtain a feature vector, and input the feature vector into a strategy function to obtain a probability distribution of influencing factors; Determine a usage duration influencing factor based on the influencing factor probability distribution, and determine a corresponding weight factor based on the usage duration influencing factor; The remaining available time of the audio device is calculated based on the target audio processing power consumption and the remaining power by using the reference transmission power combined with the weight factor.

5. The method for intelligently controlling power consumption of an audio device according to claim 1, characterized in that: The step of controlling the audio device to enter a low power consumption operation mode based on the power consumption control module includes: A low power consumption control signal is sent to a corresponding audio processing component in the audio device based on the power consumption control module, and the corresponding audio processing component in the audio device is controlled to enter a low power consumption operation mode based on the low power consumption control signal.

6. An intelligent power consumption control device for an audio device, characterized in that: A power consumption control module applied to an embedded real-time operating system and an audio device, wherein the embedded real-time operating system is connected to the power consumption control module; the device comprises: Data preprocessing module: used for obtaining real-time power consumption behavior data of audio processing behavior in the audio device based on the embedded real-time operating system, and preprocessing the real-time power consumption behavior data to obtain the preprocessed real-time power consumption behavior data; Power consumption detection module: used to perform power consumption analysis of calling resources for audio processing based on pre-processed real-time power consumption behavior data, obtain calling resource power consumption data, and perform power consumption detection of audio processing based on the calling resource power consumption data combined with the power consumption detection model to obtain target audio processing power consumption; Remaining power detection module: used to analyze power consumption events based on the pre-processed real-time power consumption behavior data, obtain power consumption event data, and detect the remaining power of the energy storage lithium battery in the audio device based on the power consumption event data; A remaining available time calculation module: used to calculate the remaining available time of the audio device based on the target audio processing power consumption and the remaining power using an impact factor; A low power consumption operation mode determination module: used to compare the remaining available time with a preset threshold value, and if the remaining available time is less than or equal to the preset threshold value, the power consumption control module controls the audio device to enter the low power consumption operation mode; Low-power audio processing module: used for obtaining a power consumption control signal corresponding to an audio processing component in the audio device when the audio device enters a low-power operation mode, determining a low-power link for audio transmission based on the power consumption control signal, and determining a corresponding target channel based on the low-power link using audio diversity, and the audio device performs low-power audio processing based on the target channel; Among them, the calling resource power consumption analysis for audio processing based on the pre-processed real-time power consumption behavior data to obtain the calling resource power consumption data, and the power consumption detection for audio processing based on the calling resource power consumption data combined with the power consumption detection model to obtain the target audio processing power consumption, including: extracting audio processing task queue data based on the pre-processed real-time power consumption behavior data, extracting resource demand characteristics for the audio processing task queue data to obtain resource demand characteristics; determining the computing network resource requirements based on the task execution graph based on the resource demand characteristics; performing the calling resource power consumption analysis for audio processing based on the computing network resource requirements to obtain the calling resource power consumption data; obtaining the historical audio processing power consumption data of the audio device, performing the flip data analysis of the observed signal based on the historical audio processing power consumption data to obtain the target flip data; performing network node level assessment based on the target flip data to obtain the network node level assessment coefficient, and adjusting the preset initial power consumption detection model based on the network node level assessment coefficient to obtain the target power consumption detection model; performing power consumption detection for audio processing based on the target power consumption detection model using the calling resource power consumption data to obtain the target audio processing power consumption; The method of obtaining a power consumption control signal corresponding to an audio processing component in an audio device, determining a low power consumption link for audio transmission based on the power consumption control signal, and determining a corresponding target channel based on the low power consumption link by using audio diversity includes: obtaining a clock audio signal of an audio processing component in an audio device in a low power consumption operation mode, calculating a clock audio frequency based on the clock audio signal, and generating a power consumption control signal corresponding to the audio processing component based on the clock audio frequency; obtaining a current audio data packet, performing a link time slot analysis based on the current audio data packet in combination with the power consumption control signal to obtain a forward link time slot and a reverse link time slot; determining a low power consumption link for audio transmission based on the forward link time slot and the reverse link time slot; dividing the current audio data packet into a plurality of groups of diversity channel data, and determining a corresponding target channel based on the plurality of groups of diversity channel data by using orthogonal frequency division multiplexing multiple access technology in combination with the low power consumption link.

7. An intelligent power consumption control system for an audio device, characterized in that: The system includes an embedded real-time operating system and a power consumption control module in an audio device, the embedded real-time operating system is connected to the power consumption control module, and the system is configured to execute the power consumption intelligent control method of the audio device according to any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and when the computer instructions are executed on an electronic device, the electronic device executes the method for intelligently controlling power consumption of an audio device according to any one of claims 1 to 5.

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