CN112672405A - Power consumption calculation method and device, storage medium, electronic device and server - Google Patents
Power consumption calculation method and device, storage medium, electronic device and server Download PDFInfo
- Publication number
- CN112672405A CN112672405A CN202011480129.9A CN202011480129A CN112672405A CN 112672405 A CN112672405 A CN 112672405A CN 202011480129 A CN202011480129 A CN 202011480129A CN 112672405 A CN112672405 A CN 112672405A
- Authority
- CN
- China
- Prior art keywords
- power consumption
- processing module
- video processing
- parameter
- video
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000004364 calculation method Methods 0.000 title claims abstract description 58
- 238000012545 processing Methods 0.000 claims abstract description 202
- 238000004590 computer program Methods 0.000 claims description 19
- 230000000875 corresponding effect Effects 0.000 description 58
- 238000004458 analytical method Methods 0.000 description 25
- 238000000034 method Methods 0.000 description 24
- 238000010586 diagram Methods 0.000 description 8
- 238000001514 detection method Methods 0.000 description 4
- 238000013507 mapping Methods 0.000 description 4
- 230000002596 correlated effect Effects 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 238000004891 communication Methods 0.000 description 2
- 238000007405 data analysis Methods 0.000 description 2
- 238000005457 optimization Methods 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 1
- 230000001276 controlling effect Effects 0.000 description 1
- 238000012517 data analytics Methods 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000001960 triggered effect Effects 0.000 description 1
Images
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Landscapes
- Power Sources (AREA)
Abstract
The embodiment of the application discloses a power consumption calculation method, a power consumption calculation device, a storage medium, electronic equipment and a server for a video processing module of the electronic equipment, wherein the power consumption calculation method comprises the following steps: acquiring a current power consumption factor of a video processing module of electronic equipment, wherein the power consumption factor comprises a frequency parameter and a bandwidth parameter; acquiring a pre-constructed power consumption model according to the frequency parameters; and determining the power consumption of the video processing module through the pre-constructed power consumption model and the bandwidth parameter. According to the power consumption factors of the video processing module, such as frequency parameters and bandwidth parameters, and the pre-constructed power consumption model, the power consumption of the video processing module can be calculated, and the power consumption calculation of the video processing module can be realized.
Description
Technical Field
The present application relates to the field of power consumption calculation, and in particular, to a power consumption calculation method and apparatus for a video processing module of an electronic device, a storage medium, an electronic device, and a server.
Background
At present, electronic devices such as smart phones and tablet computers become necessary for life of people, and for example, video calls, online videos, online songs listening and the like can be performed through the electronic devices. Generally, these electronic devices are powered by batteries, which means power consumption. However, in the related art, attention is paid only to the amount of power of a battery, and attention to power consumption is lacking.
Disclosure of Invention
The application provides a power consumption calculation method and device for a video processing module of electronic equipment, a storage medium and the electronic equipment, which can realize the calculation of the power consumption of the video processing module of the electronic equipment.
In a first aspect, the present application provides a power consumption calculation method for a video processing module of an electronic device, the power consumption calculation method including:
acquiring a current power consumption factor of a video processing module of electronic equipment, wherein the power consumption factor comprises a frequency parameter and a bandwidth parameter;
acquiring a pre-constructed power consumption model according to the frequency parameters; and
and determining the power consumption of the video processing module through the pre-constructed power consumption model and the bandwidth parameter.
In a second aspect, the present application provides a power consumption calculation apparatus for a video processing module of an electronic device, the apparatus comprising:
the first acquisition module is used for acquiring the current power consumption factor of a video processing module of the electronic equipment, wherein the power consumption factor comprises a frequency parameter and a bandwidth parameter;
the second acquisition module is used for acquiring a pre-constructed power consumption model according to the frequency parameters; and
and the determining module is used for determining the power consumption of the video processing module through the pre-constructed power consumption model and the bandwidth parameter.
In a third aspect, the present application provides a storage medium having stored thereon a computer program which, when loaded by a processor of an electronic device, performs any of the power consumption calculation methods as provided herein.
In a fourth aspect, the present application further provides an electronic device, where the electronic device includes a video processing module, a processor, and a memory, where the memory stores a computer program, and the processor executes any one of the power consumption calculation methods provided in the present application by loading the computer program.
In a fifth aspect, the present application further provides a server, which includes a memory and a processor, and the processor is configured to execute any one of the power consumption calculation methods provided in the present application by calling a computer program stored in the memory.
According to the power consumption factors of the video processing module, such as frequency parameters and bandwidth parameters, and the pre-constructed power consumption model, the power consumption of the video processing module can be calculated, and the power consumption calculation of the video processing module can be realized.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings used in the description of the embodiments will be briefly introduced below.
Fig. 1 is a first flowchart of a power consumption calculation method according to an embodiment of the present application.
Fig. 2 is a second flowchart of the power consumption calculation method according to the embodiment of the present application.
Fig. 3 is a schematic diagram of a pre-constructed power consumption model provided in an embodiment of the present application.
Fig. 4 is a schematic diagram illustrating that the electronic device calculates power consumption of the video processing module through the power consumption server in the embodiment of the present application.
Fig. 5 is a schematic structural diagram of a power consumption calculation apparatus according to an embodiment of the present application.
Fig. 6 is a schematic structural diagram of an electronic device provided in an embodiment of the present application.
Detailed Description
It is to be appreciated that the principles of the present application are illustrated as being implemented in a suitable computing environment. The following description is based on illustrated embodiments of the application and should not be taken as limiting the application with respect to other embodiments that are not detailed herein.
It should be noted that the relational terms such as first and second, and the like referred to in the following embodiments of the present application are only used for distinguishing one object or operation from another object or operation, and are not used for limiting an actual sequential relationship between the objects or operations.
The application provides a power consumption calculation method, a power consumption calculation device, a storage medium, an electronic device and a server for a video processing module of the electronic device. The execution subject of the power consumption calculation method may be the power consumption calculation apparatus provided in the embodiment of the present application, or an electronic device integrated with the power consumption calculation apparatus, where the power consumption calculation apparatus may be implemented in a hardware or software manner. The electronic device may be a mobile electronic device powered by a battery, such as a smart phone, a tablet computer, a palm computer, a notebook computer, or a fixed electronic device powered by mains supply, such as a desktop computer, an intelligent advertisement machine, or the like, and the execution main body of the power consumption calculation method may also be a server.
Referring to fig. 1, fig. 1 is a first flowchart of a power consumption calculation method according to an embodiment of the present disclosure. The power consumption calculation method can be applied to electronic equipment and a server, the electronic equipment comprises a Video Processing Unit (VPU), the Video Processing module has a hard decoding function and the capacity of reducing the load of a CPU, and the Video Processing module can also reduce the load of the server and the consumption of network bandwidth. A System On Chip (SOC) chip of an electronic device may integrate a plurality of functional modules, such as a video processing module, for encoding and decoding a video, and in the related art, only the overall power consumption of the electronic device may be detected, but the power consumption of the video processing module may not be detected. The flow of the power consumption calculation method provided by the embodiment of the application can be as follows:
101, acquiring a current power consumption factor of a video processing module of the electronic device, wherein the power consumption factor comprises a frequency parameter and a bandwidth parameter.
Wherein, the power consumption factor can be a factor playing a decisive role for the power consumption of the video processing module, wherein, the frequency parameter is the clock (clock) frequency when the video processing module works, the frequency parameter is positively correlated with the power consumption of the video processing module under the condition that other parameters of the video processing module are not changed, it can be understood that the larger the frequency parameter is, the larger the power consumption of the video processing module is, wherein, the bandwidth parameter is the communication bandwidth (bandwidth) between the video processing module and the external memory, under the condition that other parameters of the video processing module are not changed, the bandwidth parameter is positively correlated with the power consumption of the video processing module, it can be understood that the larger the bandwidth parameter is, the larger the power consumption of the video processing module is, for example, when the video processing module works under a fixed frequency parameter, and processes videos with the same specification parameter, the larger the bandwidth parameter is, the larger the power consumption of the video processing module is, or when the video processing module works under different frequency parameters and processes videos with the same specification parameters and bandwidth parameters, the larger the frequency parameter is, the larger the power consumption of the video processing module is. I.e., the frequency parameter and bandwidth parameter of the video processing module may reflect the power consumption of the video processing module.
And 102, acquiring a pre-constructed power consumption model according to the frequency parameters.
The pre-constructed power consumption model can screen power consumption parameters which may affect the power consumption of the video processing module according to expert experience, and the power consumption parameters are recorded as candidate power consumption parameters, and then power consumption factors related to the video processing module are screened from the power consumption parameters through a large amount of experiments, wherein the power consumption factors can be understood as parameters which have a certain incidence relation (such as a linear relation) with the power consumption, for example, for the video processing module, the power consumption factors affecting the power consumption of the video processing module can be frequency parameters and bandwidth parameters. Because the correlation between the bandwidth parameter and the power consumption of the video processing module has a certain difference when the video processing module works under different frequency parameters, a mapping relation can be established between different frequency parameters and different pre-constructed power consumption models, that is, the frequency parameter of each gear corresponds to one pre-constructed power consumption model, and the mapping relation can be shown in the following table:
| frequency parameter | Power consumption model |
| First frequency parameter | First power consumption model |
| Second frequency parameter | Second power consumption model |
| Third frequency parameter | Third Power consumption model |
| Fourth frequency parameter | Fourth Power consumption model |
The corresponding power consumption model can be obtained from a plurality of power consumption models according to the frequency parameter of the current video processing module.
And 103, determining the power consumption of the video processing module through the pre-constructed power consumption model and the bandwidth parameters.
After the pre-constructed power consumption model is determined, the bandwidth parameters are used as input data of the power consumption model, the power consumption of the video processing module can be calculated, and the acquired bandwidth parameters are used as the input data of the power consumption model, so that the power consumption of the video processing module can be calculated.
In the embodiment of the application, the power consumption of the video processing module can be calculated according to the power consumption factors of the video processing module, such as the frequency parameter and the bandwidth parameter, and the pre-constructed power consumption model of the video processing module, so that the power consumption of the video processing module can be detected.
For explaining the building process of the power consumption model pre-built in the present application, please refer to fig. 2, and fig. 2 is a second flow chart of the power consumption calculation method according to the embodiment of the present application.
201, adjusting the frequency parameter of the video processing module to a preset frequency parameter.
The frequency parameter of the video processing module can be adjusted to a preset frequency parameter through a frequency adjusting instruction, the frequency adjusting instruction can be an operation command of an Android Debug Bridge (Android Debug Bridge, abd), the frequency parameter of the video processing module can be set through an adb command capable of setting the frequency parameter, the frequency gear of the video processing module can have four gears, that is, the preset frequency parameter can be any one of a first frequency parameter, a second frequency parameter, a third frequency parameter and a fourth frequency parameter, the first frequency parameter, the second preset frequency parameter, the third frequency parameter and the fourth frequency parameter can be in a sequentially increasing relationship or a sequentially decreasing relationship, it can be understood that the frequency gear of the video processing module can also be in a third gear or a sixth gear, and the like, and the frequency gears of the video processing modules of SoC chips of different models can be different, may also be the same. The frequency parameter of the video processing module is adjusted to a preset frequency parameter, for example, the frequency parameter of the video processing module is adjusted to a first frequency parameter.
202, reading the bandwidth parameters corresponding to different videos played by the video processing module and the corresponding power consumption.
The different videos may correspond to different specification parameters, and the specification parameters may include resolution, frame rate, or encoding method, for example, the resolution of the video a is 2048 × 1152, the frame rate is 30fps, the decoding method is H264, the resolution of the video B is 3840 × 2160, the frame rate is 60fps, and the decoding method is H264.
The bandwidth parameter when the video processing module plays the video can be obtained through the bandwidth parameter reading instruction, for example, the bandwidth parameter when the video is played is read through an adb operation command for reading the bandwidth parameter, and the videos with different specification parameters and the corresponding bandwidths are shown in the following table:
| bandwidth parameter | Specification parameters |
| 11.02604681 | 2048×1152/30fps,H264 |
| 14.24605342 | 1080P_H264 |
| 24.57969556 | 2048X 1152/30fps, H264+ video recording (middle) |
| 32.22796063 | 1080P _ H264+ video recording (middle) |
| 49.49187026 | 4096×2304/30fps,H264 |
| 62.45439154 | 4096X 2304/30fps, H264+ video recording (middle) |
| 78.35501686 | 3840x2160/60fps,H264 |
| 100.1191648 | 3840x2160/60fps, H264+ video recording (middle) |
| 129.9252713 | 4096X 2304/30fps, H264+ video recording (high) |
For example: when a video with the resolution of 2048 multiplied by 1152, the frame rate of 30fps and the encoding mode of H264 is played, the read bandwidth parameter is 11.02604681 hundred Mbps; when a video with the specification parameter of 1080P _ H264 is played, the bandwidth parameter is 14.24605342 hundred Mbps; when a video with resolution of 2048 × 1152, a frame rate of 30fps and an encoding mode of H264 is played, and a video with a medium resolution level is recorded by an image acquisition device such as a camera, the read bandwidth parameter is 24.57969556 hundred Mbps; playing a video with a specification parameter of 1080P _ H264, and simultaneously recording a video with a medium resolution level, wherein the read bandwidth parameter is 32.22796063 hundred Mbps; when a video with the resolution of 4096 × 2304, the frame rate of 30fps and the encoding mode of H264 is played, the read bandwidth parameter is 49.49187026 hundred Mbps; playing a video with a resolution of 4096 × 2304, a frame rate of 30fps and an encoding mode of H264, and simultaneously recording a video with a medium resolution level, wherein the read bandwidth parameter is 62.45439154 hundred Mbps; when a video with the resolution of 3840x2160, the frame rate of 60fps and the encoding mode of H264 is played, the read bandwidth parameter is 78.35501686 hundred Mbps; playing a video with the resolution of 3840x2160, the frame rate of 60fps and the encoding mode of H264, and when recording a video with a medium resolution level, reading the bandwidth parameter of 100.1191648 hundred Mbps; when a video with a resolution of 4096 × 2304, a frame rate of 30fps, and an encoding method of H264 is played and a video with a high resolution level is recorded, the read bandwidth parameter is 129.9252713 hundred Mbps. It is understood that the selected video may be selected by a person of ordinary skill in the art based on experience, and the bandwidth parameters corresponding to the selected videos with different specification parameters are different.
The power consumption of the video processing module is collected through the power consumption collecting device, the power consumption collecting device can be a power consumption collecting plate, the power consumption collecting plate can read the power consumption of the video processing module in real time, and the power consumption collecting plate is an external device and is used for detecting the power consumption of different modules in an SoC chip in a laboratory. For example, when playing the above video, the obtained bandwidth parameters and power consumption are shown in the following table:
| bandwidth parameter (hundred Mbps) | Power consumption (mW) |
| 11.02604681 | 12 |
| 14.24605342 | 15.5 |
| 24.57969556 | 16.7 |
| 32.22796063 | 21.7 |
| 49.49187026 | 27.1 |
| 62.45439154 | 33 |
| 78.35501686 | 41 |
| 100.1191648 | 50.1 |
| 129.9252713 | 56.8 |
It can be understood that, under a fixed frequency parameter, videos with different specification parameters can be played to obtain corresponding bandwidth parameters, and a power consumption parameter corresponding to each bandwidth parameter can be acquired through a power consumption acquisition board.
And 203, constructing a power consumption model corresponding to the preset frequency parameter according to the corresponding bandwidth parameter and the corresponding power consumption.
Referring to fig. 3, fig. 3 is a schematic diagram of a pre-constructed video processing module model according to an embodiment of the present application.
In the example of fig. 3, the bandwidth parameter is used as an abscissa and the power consumption parameter is used as an ordinate, a plurality of curves corresponding to the bandwidth parameter and the power consumption parameter can be obtained by fitting, the curve with the minimum variance is used as a fitting curve Z of the bandwidth parameter and the power consumption parameter, and the curve Z is subjected to linear fitting, so that a straight line W having a linear relationship between the bandwidth parameter and the power consumption parameter can be obtained:
P＝aB+c；
wherein, P represents a power consumption parameter, the unit is mW, B represents a bandwidth parameter, the unit is hundred Mbps, a represents a correlation coefficient of the bandwidth parameter and the power consumption parameter, and c represents a correlation constant of the bandwidth parameter and the power consumption parameter.
If the bandwidth parameter and the power consumption parameter are used, a linear relationship can be obtained:
P＝0.3893*B+8.7002；
where P denotes a power consumption parameter, B denotes a bandwidth parameter, 0.3893 denotes a correlation coefficient of the bandwidth parameter and the power consumption parameter, and 8.7002 denotes a correlation constant of the bandwidth parameter and the power consumption parameter. Obtaining a power consumption model corresponding to the first frequency parameter: it can be understood that, by the above method, the power consumption models corresponding to the second frequency parameter, the third frequency parameter, and the fourth frequency parameter can be obtained, that is, the coefficient a is different and the constant c may be the same or different for different frequency parameters. It will be appreciated that the larger the frequency parameter of a frequency bin, the larger the coefficient a.
And 204, acquiring the current power consumption factor of the video processing module, wherein the power consumption factor comprises a frequency parameter and a bandwidth parameter.
After the power consumption model is constructed, a current power consumption factor of the video processing module is obtained, where the power consumption factor is a factor that plays a decisive role in power consumption of the video processing module, where a frequency parameter is a clock (clock) frequency when the video processing module operates, and the frequency parameter is positively correlated with the power consumption of the video processing module when other parameters of the video processing module are not changed, it can be understood that the larger the frequency parameter is, the larger the power consumption of the video processing module is, where a bandwidth parameter is a communication bandwidth (bandwidth) between the video processing module and an external memory, and when other parameters of the video processing module are not changed, the larger the bandwidth parameter is, the larger the power consumption of the video processing module is, for example, when the video processing module operates under a fixed frequency parameter and processes a video with the same specification parameter, the larger the bandwidth parameter is, the larger the power consumption of the video processing module is, or when the video processing module works under different frequency parameters and processes videos with the same specification parameter and bandwidth parameter, the larger the frequency parameter is, the larger the power consumption of the video processing module is. I.e., the frequency parameter and bandwidth parameter of the video processing module may reflect the power consumption of the video processing module.
In some embodiments, in order to reduce the overhead of the power consumption server or the electronic device, the bandwidth parameter and the frequency parameter of the video processing module may be obtained only when the electronic device plays a video file or records a video, when the electronic device runs a preset application, when a running load of the electronic device is greater than or equal to a preset load, and/or when a remaining power of the electronic device is less than a preset power, where the preset application may be a video playing application or a game application that needs to process video data. Illustratively, when a preset target event triggering power consumption detection of the video processing module is monitored, power consumption detection of the video processing module is triggered. The target event can be configured by one of ordinary skill in the art according to actual needs, and is not limited herein.
Target events for configuration include, but are not limited to:
(1) playing a video or recording a video;
(2) opening a preset application;
(3) bulk temperature superheat (which can be empirically defined by one of ordinary skill in the art);
(4) switching between on and off of the screen;
(5) pulling/plugging a charging wire;
(6) the power consumption reaches a set value (can be taken by a person with ordinary skill in the art according to actual needs, such as 10%);
(7) the preset detection period is reached (the value can be obtained by a person skilled in the art according to actual needs, such as 1 minute).
205, if the frequency parameter is a preset frequency parameter, obtaining a power consumption model corresponding to the preset frequency parameter.
After the current frequency parameter of the electronic device is obtained, whether the current frequency parameter of the video processing module is a preset frequency parameter, such as the first frequency parameter, the second frequency parameter, the third frequency parameter or the fourth frequency parameter, is judged, and the preset frequency parameter corresponds to a corresponding pre-constructed power consumption model constructed by the method. If the current frequency parameter is the preset frequency parameter, the power consumption model corresponding to the current frequency parameter is obtained, for example, the obtained current frequency parameter is the first frequency parameter, and the power consumption model corresponding to the first frequency parameter is obtained.
In order to improve the calculation precision of the pre-constructed power consumption model, power consumption factors can be increased, and the power consumption factors also comprise data types; the steps of constructing the power consumption model are as follows:
adjusting the frequency parameter of the video processing module to a preset frequency parameter;
classifying the video into at least one video set according to the specification parameters of the video, wherein each video set corresponds to a preset data type;
reading a bandwidth parameter corresponding to the video processing module playing the video set and corresponding power consumption;
constructing a power consumption model corresponding to a preset frequency parameter and a preset data type according to the corresponding bandwidth parameter and the corresponding power consumption;
the specification parameters of the video may include a video tag and a data processing type corresponding to the video tag, for example, the video a tag is "detail processing level a", the video B tag is "detail processing level B", the data processing type corresponding to the "detail processing level a" is that data needs to be read from an internal memory of the video processing module, and the data processing type corresponding to the "detail processing level B" is that data needs to be frequently read from an external memory, where the video tag may be calibrated by analyzing the specification parameters (resolution, frame rate, and encoding mode) of the video, for example, before the video processing module encodes and decodes the video, the video source is classified and calibrated to obtain a first type video set and a second type video set, and the first type video set may be a set of videos with higher requirements for detail processing, for example, the video sets such as gongfu action films, 3D animation films and sports films, which need to highlight the dynamic details, the second type of video set may be a set of videos which have low requirements for detail processing, such as documentaries, interview programs or literary films, which have low requirements for dynamic details. For the video processing module, if a video with a prominent dynamic detail needs to be processed, the video needs to be stored in the internal memory first, which is convenient for processing the video, and if a video with a low requirement for the dynamic detail needs to be processed, the video does not need to be stored in the internal memory first, and the data of the external memory is called for processing, so that the power consumption of the video processing module is increased when the second type of video set is processed because the data of the external memory needs to be frequently called.
Based on the method, when different types of video sets are played, the bandwidth parameters and the power consumption of the corresponding video processing modules are recorded respectively, and the power consumption model corresponding to the preset frequency parameters and the preset data types can be constructed through the method. The frequency parameters and data processing types and power consumption models may establish the following mapping table:
after the power consumption model corresponding to the preset frequency parameter and the preset data type is constructed, the method comprises the following steps:
and acquiring power consumption factors, wherein the power consumption factors comprise frequency parameters, bandwidth parameters and data types.
If the frequency parameter is a preset frequency parameter, the data type is a preset data type;
and acquiring a power consumption model corresponding to the preset frequency parameter and the preset data.
For example, the acquired frequency parameter is a first preset frequency parameter, the type of the processed data is a first type, and a fifth power consumption model can be obtained according to the mapping relation table.
It should be noted that the power consumption model pre-constructed in the embodiment of the present application may be deployed locally on the electronic device, or may be deployed in a cloud. To deploy in the cloud example: referring to fig. 4, fig. 4 is a schematic diagram illustrating an electronic device calculating power consumption of a video processing module through a power consumption server according to an embodiment of the present application. The application provides a server, which comprises a memory and a processor, wherein the processor is used for executing the power consumption calculation method provided by the application by calling a computer program stored in the memory.
The network access equipment provides network access service for the electronic equipment, so that the electronic equipment can be accessed to the Internet through the network access equipment. When the power consumption of the video processing module is calculated, the electronic equipment transmits the acquired power consumption factors (frequency parameters and bandwidth parameters) to a power consumption server on the other side of the internet through the network access equipment. The power consumption server is locally deployed with a pre-constructed power consumption model, correspondingly, after receiving the frequency parameters from the electronic equipment, the power consumption server obtains the corresponding power consumption model according to the frequency parameters, then inputs the bandwidth parameters into the locally deployed power consumption model, so that the power consumption parameters of the video processing module are obtained through calculation, and the power consumption parameters of the video processing module are returned to the electronic equipment, on the other hand, the electronic equipment processes the power consumption by receiving the audio returned by the power consumption server.
In some embodiments, when calculating the power consumption of the video processing module, the electronic device transmits the acquired power consumption factors (frequency parameters, bandwidth parameters, and processing data types) to a power consumption server on the other side of the internet via the network access device. The power consumption server is locally deployed with a pre-constructed power consumption model, correspondingly, after receiving the frequency parameters from the electronic equipment, the power consumption server obtains the corresponding power consumption model according to the frequency parameters and the processing data types, and then inputs the bandwidth parameters into the locally deployed power consumption model, so that the power consumption parameters of the video processing module are obtained through calculation, the power consumption parameters of the video processing module are returned to the electronic equipment, and on the other hand, the electronic equipment processes the power consumption of the audio frequency received by the power consumption server.
Optionally, in an embodiment, when the power consumption factor is sent to a preset power consumption server, the sending includes:
when the electronic equipment plays a video file or records a video, acquiring a current power consumption factor of a video processing module of the electronic equipment through a server; or
When the electronic equipment runs with a preset application, acquiring a current power consumption factor of a video processing module of the electronic equipment through a server; or
When the running load of the electronic equipment is greater than or equal to the preset load, the current power consumption factor of a video processing module of the electronic equipment is obtained; or
When the residual electric quantity of the electronic equipment is smaller than the preset electric quantity, the current power consumption factor of the video processing module of the electronic equipment is obtained through the server.
It should be noted that, in the embodiment of the present application, the above condition for obtaining the power consumption factor of the video processing module of the electronic device is not particularly limited, and may be configured by a person having ordinary skill in the art according to actual needs.
Optionally, in some embodiments, the power consumption calculation method provided by the present application further includes:
(1) transmitting the power consumption parameters of the video processing module to a preset analysis server, so that the analysis server performs big data analysis according to the preset analysis strategy and the power consumption parameters of the video processing module to obtain an analysis result;
(2) and receiving an analysis result returned by the analysis server and outputting the analysis result.
In an embodiment of the present application, an analytics server is provided that is configured to provide big data analytics service to an electronic device.
The analysis server is configured with an analysis policy, where the analysis policy is used to describe how to perform big data analysis on power consumption of a video processing module from an electronic device, and may be specifically configured by a person skilled in the art according to actual needs, and no specific limitation is made in the embodiment of the present application. For example, an analysis policy for limiting a bandwidth of video processing of a user, controlling power consumption when playing a video, or determining a recording mode when recording a video may be configured, and an analysis policy for recommending a video processing mode may also be configured. After analyzing the obtained analysis result, the analysis server transmits the analysis result to the electronic device.
Correspondingly, the electronic device receives the analysis result returned by the analysis server. After receiving the analysis result returned by the analysis server, the electronic device outputs the analysis result according to the configured output strategy. The configuration of the output strategy is not particularly limited, and can be configured by those skilled in the art according to actual needs, including but not limited to audio, video, text, image and other output modes.
In addition, the electronic device may further perform targeted optimization processing according to the analysis result, for example, when the analysis result reflects that the bandwidth parameter is not suitable for the specification parameter of the played video when the user plays the video, the bandwidth parameter may be adjusted to adjust the power consumption of the video processing module, for example, when the video processing module processes a video with a small data size, the bandwidth parameter corresponding to the video processing module is large, that is, the bandwidth parameter is not suitable for the specification parameter of the video, and the bandwidth parameter may be adjusted. Namely, the electronic device can perform targeted bandwidth optimization according to the analysis result.
Optionally, in an embodiment, the power consumption calculation method provided by the present application further includes:
(1) acquiring the total power consumption of the electronic equipment;
(2) and judging whether the total power consumption is greater than preset power consumption, if so, judging whether the power consumption parameter calculated through the power consumption model meets a preset condition, and if not, judging that the power consumption module of the video processing module is abnormal.
And when the power consumption parameter calculated by the power consumption module of the video processing module is not matched with the preset power consumption parameter, generating fault information and sending the fault information to a preset fault server.
In the embodiment of the application, a fault server is provided, and is configured to provide a fault analysis service for the electronic device, and the fault server writes fault information from the electronic device into a local database for a relevant technician to perform fault analysis on the electronic device, so that a corresponding solution policy is given, and the after-sale service of an electronic product is facilitated.
It is to be understood that although the frequency parameter, the bandwidth parameter and the data processing type are used as the power consumption factor of the video processing module in the present application, this does not mean that the other parameters than the aforementioned power consumption factor are considered to be irrelevant to the power consumption of the video processing module in the present application.
In the embodiment of the application, the power consumption of the video processing module can be calculated according to the power consumption factors of the video processing module, such as the frequency parameter, the processing data type and the bandwidth parameter, the pre-constructed power consumption model of the video processing module is obtained according to the frequency parameter and the data processing type, and the bandwidth parameter is input into the pre-constructed power consumption model, so that the power consumption detection on the software layer of the video processing module can be realized, and the video processing module does not need to be detected through external equipment.
Referring to fig. 5, fig. 5 is a schematic structural diagram of a power consumption calculating device according to an embodiment of the present disclosure.
In order to better perform the power consumption calculating method provided by the present application, the present application further provides a power consumption calculating apparatus 300, where the power consumption calculating apparatus 300 is applied to an electronic device, and the power consumption calculating apparatus 300 may include:
the first obtaining module 310 is configured to obtain a current power consumption factor of a video processing module of the electronic device, where the power consumption factor includes a frequency parameter and a bandwidth parameter.
A second obtaining module 320, configured to obtain a pre-constructed power consumption model according to the frequency parameter;
a determining module 330, configured to determine the power consumption of the video processing module according to the pre-constructed power consumption model and the bandwidth parameter.
Optionally, in some embodiments, the pre-built power consumption model comprises:
P＝aB+c；
wherein, P represents power consumption, B represents bandwidth parameter, a represents correlation coefficient of bandwidth parameter and power consumption, and c represents correlation constant of bandwidth parameter and power consumption.
Optionally, in some embodiments, the building the power consumption model includes:
P＝0.3893*B+8.7002。
optionally, in some embodiments, in acquiring the current power consumption factor of the video processing module of the electronic device, the first acquiring module 310 is further configured to:
and when the electronic equipment plays the video file, acquiring the current power consumption factor of a video processing module of the electronic equipment. Optionally, in some embodiments, in acquiring the current power consumption factor of the video processing module of the electronic device, the first acquiring module 310 is further configured to:
and when the electronic equipment runs with a preset application, acquiring a current power consumption factor of a video processing module of the electronic equipment.
Optionally, in some embodiments, in acquiring the current power consumption factor of the video processing module of the electronic device, the first acquiring module 310 is further configured to:
and when the running load of the electronic equipment is greater than or equal to a preset load, acquiring the current power consumption factor of a video processing module of the electronic equipment.
Optionally, in some embodiments, in acquiring the current power consumption factor of the video processing module of the electronic device, the first acquiring module 310 is further configured to:
and when the residual electric quantity of the electronic equipment is smaller than the preset electric quantity, acquiring the current power consumption factor of a video processing module of the electronic equipment.
In some embodiments, the power consumption calculation means further comprises:
the adjusting module is used for adjusting the frequency parameter of the video processing module to a preset frequency parameter;
the reading module is used for reading the bandwidth parameters corresponding to different videos played by the video processing module and the corresponding power consumption; and
the building module is used for building a power consumption model corresponding to the preset frequency parameter according to the corresponding bandwidth parameter and the corresponding power consumption;
in obtaining the pre-constructed power consumption model according to the frequency parameter, the second obtaining module 320 is further configured to:
and if the frequency parameter is the preset frequency parameter, acquiring a power consumption model corresponding to the preset frequency parameter.
In some embodiments, the power consumption factor further includes a processing data type, and the second obtaining module 320 is further configured to: and acquiring a pre-constructed power consumption model according to the frequency parameters and the data types.
In some embodiments, the power consumption calculation means further comprises: the device comprises a classification module and a preset data type module;
the classification module is used for acquiring a plurality of videos with different specification parameters and classifying the videos according to the specification parameters of the videos;
the preset data processing type module is used for obtaining a plurality of classified video sets, and each video set corresponds to a preset data type;
the reading module is used for reading the bandwidth parameter corresponding to the video processing module playing the video set and the corresponding power consumption;
and the building module is further used for building a power consumption model corresponding to the preset frequency parameter and the preset data type according to the corresponding bandwidth parameter and the corresponding power consumption.
In some embodiments, in acquiring the pre-constructed power consumption model according to the frequency parameter, the second acquiring module 320 is further configured to: and if the frequency parameter is the preset frequency parameter and the data type is a preset data type, acquiring the preset frequency parameter and a power consumption model corresponding to the preset data.
It should be noted that the power consumption calculating device 300 provided in the embodiment of the present application and the power consumption calculating method in the foregoing embodiment belong to the same concept, and specific implementation processes thereof are detailed in the foregoing related embodiments, and are not described herein again.
The embodiment of the present application further provides an electronic device, which includes a memory and a processor, where the processor is used to execute the steps in the power consumption calculation method provided in this embodiment by calling a computer program stored in the memory.
Referring to fig. 6, fig. 6 is a schematic structural diagram of an electronic device 400 according to an embodiment of the present disclosure.
The electronic device 400 may include components such as a network interface 410, a memory 420, a processor 430, and a video processing module 440. Those skilled in the art will appreciate that the configuration of the electronic device 400 illustrated in FIG. 6 does not constitute a limitation of the electronic device 400, and may include more or fewer components than illustrated, or some components may be combined, or a different arrangement of components.
A Video Processing module 440 (VPU), a System On Chip (SOC) of an electronic device, may integrate a plurality of functional modules, such as a Video Processing module, for encoding and decoding Video, the Video Processing module 440 has a hard decoding function and a capability of reducing a CPU load, and the Video Processing module may also reduce a server load and consumption of a network bandwidth.
The network interface 410 may be used to make network connections between devices.
The processor 430 is a control center of the electronic device 400, connects various parts of the entire electronic device 400 using various interfaces and lines, and performs various functions of the electronic device 400 and processes data by running or executing computer programs stored in the memory 420 and calling data stored in the memory 420, thereby performing overall control of the electronic device 400.
In the embodiment of the present application, the processor 430 in the electronic device 400 loads the executable code corresponding to one or more computer programs into the memory 420 according to the following instructions, and is executed by the processor 430 to perform the following steps:
acquiring a current power consumption factor of a video processing module of electronic equipment, wherein the power consumption factor comprises a frequency parameter and a bandwidth parameter;
acquiring a pre-constructed power consumption model according to the frequency parameters;
and calculating the power consumption of the video processing module according to the pre-constructed power consumption model and the bandwidth parameter.
Optionally, in some embodiments, the pre-built power consumption model comprises:
P＝aB+c；
wherein, P represents power consumption, B represents bandwidth parameter, a represents correlation coefficient of bandwidth parameter and power consumption, and c represents correlation constant of bandwidth parameter and power consumption.
Optionally, in some embodiments, the building the power consumption model includes:
P＝0.3893*B+8.7002。
optionally, in some embodiments, when obtaining the current power consumption factor of the video processing module of the electronic device, the processor 430 is configured to perform:
and when the electronic equipment plays the video file, acquiring the current power consumption factor of a video processing module of the electronic equipment. Optionally, in some embodiments, when obtaining the current power consumption factor of the video processing module of the electronic device, the processor 430 is configured to perform:
and when the electronic equipment runs with a preset application, acquiring a current power consumption factor of a video processing module of the electronic equipment.
Optionally, in some embodiments, when obtaining the current power consumption factor of the video processing module of the electronic device, the processor 430 is configured to perform:
and when the running load of the electronic equipment is greater than or equal to a preset load, acquiring the current power consumption factor of a video processing module of the electronic equipment.
Optionally, in some embodiments, when obtaining the current power consumption factor of the video processing module of the electronic device, the processor 430 is configured to perform:
and when the residual electric quantity of the electronic equipment is smaller than the preset electric quantity, acquiring the current power consumption factor of a video processing module of the electronic equipment.
Optionally, in some embodiments, before obtaining the power consumption factor of the video processing module, the processor 430 is configured to perform:
adjusting the frequency parameter of the video processing module to a preset frequency parameter;
reading corresponding bandwidth parameters and corresponding power consumption when the video processing module plays different videos;
constructing a power consumption model corresponding to the preset frequency parameter according to the corresponding bandwidth parameter and the corresponding power consumption; and
in obtaining the pre-constructed power consumption model according to the frequency parameters, the processor 430 is further configured to: and if the frequency parameter is the preset frequency parameter, acquiring a power consumption model corresponding to the preset frequency parameter.
Optionally, in some embodiments, the power consumption factor further includes a data type, and the processor 430 is further configured to:
and acquiring a pre-constructed power consumption model according to the frequency parameters and the data types.
Optionally, in some embodiments, before obtaining the power consumption factor of the video processing module, the processor 430 is further configured to:
adjusting the frequency parameter of the video processing module to a preset frequency parameter;
acquiring a plurality of videos with different specification parameters, and classifying the videos according to the specification parameters of the videos;
obtaining a plurality of classified video sets, wherein each video set corresponds to a preset data type;
reading a bandwidth parameter corresponding to the video processing module playing the video set and corresponding power consumption;
constructing a power consumption model corresponding to the preset frequency parameter and the preset data type according to the corresponding bandwidth parameter and the corresponding power consumption;
in obtaining the pre-constructed power consumption model according to the frequency parameters, the processor 430 is further configured to: and if the frequency parameter is the preset frequency parameter and the data type is a preset data type, acquiring the preset frequency parameter and a power consumption model corresponding to the preset data.
It should be noted that the electronic device 400 provided in the embodiment of the present application and the power consumption calculation method in the foregoing embodiment belong to the same concept, and specific implementation processes thereof are detailed in the foregoing related embodiments and are not described herein again.
The present application further provides a computer-readable storage medium, on which a computer program is stored, and when the computer program stored in the storage medium is executed on a processor of an electronic device provided in an embodiment of the present application, the processor of the electronic device is caused to perform any of the steps in the above power consumption calculation method suitable for the electronic device. The storage medium may be a magnetic disk, an optical disk, a Read Only Memory (ROM), a Random Access Memory (RAM), or the like.
The foregoing describes in detail a power consumption calculation method, apparatus, storage medium, electronic device, and server for a video processing module of an electronic device, and a specific example is applied in the present disclosure to explain the principles and embodiments of the present disclosure, and the description of the foregoing embodiments is only used to help understand the method and core ideas of the present disclosure; meanwhile, for those skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.
Claims (14)
1. A power consumption calculation method for a video processing module of an electronic device, the power consumption calculation method comprising:
acquiring a current power consumption factor of a video processing module of electronic equipment, wherein the power consumption factor comprises a frequency parameter and a bandwidth parameter;
acquiring a pre-constructed power consumption model according to the frequency parameters; and
and determining the power consumption of the video processing module through the pre-constructed power consumption model and the bandwidth parameter.
2. The power consumption calculation method of claim 1, wherein the pre-built power consumption model comprises:
P＝aB+c；
wherein, P represents power consumption, B represents bandwidth parameter, a represents correlation coefficient of bandwidth parameter and power consumption, and c represents correlation constant of bandwidth parameter and power consumption.
3. The power consumption calculation method of claim 2, wherein the pre-built power consumption model comprises:
P＝0.3893*B+8.7002。
4. the power consumption calculation method of claim 1, wherein obtaining a current power consumption factor of a video processing module of the electronic device comprises:
and when the electronic equipment plays the video file, acquiring the current power consumption factor of a video processing module of the electronic equipment.
5. The power consumption calculation method of claim 1, wherein obtaining a current power consumption factor of a video processing module of the electronic device comprises:
and when the electronic equipment runs with a preset application, acquiring a current power consumption factor of a video processing module of the electronic equipment.
6. The power consumption calculation method of claim 1, wherein obtaining a current power consumption factor of a video processing module of the electronic device comprises:
and when the running load of the electronic equipment is greater than or equal to a preset load, acquiring the current power consumption factor of a video processing module of the electronic equipment.
7. The power consumption calculation method of claim 1, wherein obtaining a current power consumption factor of a video processing module of the electronic device comprises:
and when the residual electric quantity of the electronic equipment is smaller than the preset electric quantity, acquiring the current power consumption factor of a video processing module of the electronic equipment.
8. The power consumption calculation method according to claim 1, further comprising, before obtaining the current power consumption factor of the video processing module:
adjusting the frequency parameter of the video processing module to a preset frequency parameter;
reading corresponding bandwidth parameters and corresponding power consumption when the video processing module plays different videos; and
constructing a power consumption model corresponding to the preset frequency parameter according to the corresponding bandwidth parameter and the corresponding power consumption;
the obtaining of the pre-constructed power consumption model according to the frequency parameters comprises:
and if the frequency parameter is the preset frequency parameter, acquiring a power consumption model corresponding to the preset frequency parameter.
9. The power consumption calculation method of claim 1, wherein the power consumption factor further comprises a data type;
the obtaining of the pre-constructed power consumption model according to the frequency parameters comprises:
and acquiring a pre-constructed power consumption model according to the frequency parameters and the data types.
10. The power consumption calculation method according to claim 5, further comprising, before obtaining the power consumption factor of the video processing module:
adjusting the frequency parameter of the video processing module to a preset frequency parameter;
classifying the video into at least one video set according to the specification parameters of the video, wherein each video set corresponds to a preset data type;
reading a bandwidth parameter corresponding to the video processing module playing the video set and corresponding power consumption;
constructing a power consumption model corresponding to the preset frequency parameter and the preset data type according to the corresponding bandwidth parameter and the corresponding power consumption;
the obtaining of the pre-constructed power consumption model according to the frequency parameters comprises:
and if the frequency parameter is the preset frequency parameter and the data type is a preset data type, acquiring the preset frequency parameter and a power consumption model corresponding to the preset data.
11. A power consumption calculation apparatus for a video processing module of an electronic device, the apparatus comprising:
the first acquisition module is used for acquiring the current power consumption factor of a video processing module of the electronic equipment, wherein the power consumption factor comprises a frequency parameter and a bandwidth parameter;
the second acquisition module is used for acquiring a pre-constructed power consumption model according to the frequency parameters; and
and the determining module is used for determining the power consumption of the video processing module through the pre-constructed power consumption model and the bandwidth parameter.
12. A storage medium having stored thereon a computer program for performing the power consumption calculation method according to any one of claims 1-10 when the computer program is loaded by a processor of an electronic device.
13. An electronic device comprising a video processing module, a processor and a memory, the memory storing a computer program, wherein the processor performs the power consumption calculation method according to any one of claims 1 to 10 by loading the computer program.
14. A server comprising a memory, a processor, wherein the processor is configured to perform the power consumption calculation method of any one of claims 1-10 by invoking a computer program stored in the memory.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011480129.9A CN112672405B (en) | 2020-12-15 | 2020-12-15 | Power consumption calculation method, device, storage medium, electronic equipment and server |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011480129.9A CN112672405B (en) | 2020-12-15 | 2020-12-15 | Power consumption calculation method, device, storage medium, electronic equipment and server |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112672405A true CN112672405A (en) | 2021-04-16 |
| CN112672405B CN112672405B (en) | 2023-12-08 |
Family
ID=75406147
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011480129.9A Active CN112672405B (en) | 2020-12-15 | 2020-12-15 | Power consumption calculation method, device, storage medium, electronic equipment and server |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112672405B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2022226936A1 (en) * | 2021-04-29 | 2022-11-03 | 华为技术有限公司 | Method for limiting power consumption, and apparatus |
| CN115361586A (en) * | 2022-10-19 | 2022-11-18 | 深圳市欣喜连连科技有限公司 | Method, system and storage medium for automatically managing power consumption of HDMI (high-definition multimedia interface) of intelligent photo frame |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150185797A1 (en) * | 2013-12-28 | 2015-07-02 | Lawrence A. Cooper | Dynamic power measurement and estimation to improve memory subsystem power performance |
| CN105745590A (en) * | 2013-11-19 | 2016-07-06 | 高通股份有限公司 | System and method for operating frequency adjustment and workload scheduling in a system on a chip |
| CN106791847A (en) * | 2016-12-05 | 2017-05-31 | 中国计量大学 | A kind of video coding chip framework equivalent hardware complexity and performance estimation model |
| WO2020108061A1 (en) * | 2018-11-27 | 2020-06-04 | Oppo广东移动通信有限公司 | Video processing method and apparatus, electronic device and storage medium |
| CN111427750A (en) * | 2020-04-09 | 2020-07-17 | 中国人民解放军国防科技大学 | GPU power consumption estimation method, system and medium for computer platform |
| CN111684485A (en) * | 2018-02-09 | 2020-09-18 | 华为技术有限公司 | Video playback energy consumption control |
| CN111830390A (en) * | 2019-04-18 | 2020-10-27 | 中科寒武纪科技股份有限公司 | Test method and related product |
-
2020
- 2020-12-15 CN CN202011480129.9A patent/CN112672405B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105745590A (en) * | 2013-11-19 | 2016-07-06 | 高通股份有限公司 | System and method for operating frequency adjustment and workload scheduling in a system on a chip |
| US20150185797A1 (en) * | 2013-12-28 | 2015-07-02 | Lawrence A. Cooper | Dynamic power measurement and estimation to improve memory subsystem power performance |
| CN106791847A (en) * | 2016-12-05 | 2017-05-31 | 中国计量大学 | A kind of video coding chip framework equivalent hardware complexity and performance estimation model |
| CN111684485A (en) * | 2018-02-09 | 2020-09-18 | 华为技术有限公司 | Video playback energy consumption control |
| WO2020108061A1 (en) * | 2018-11-27 | 2020-06-04 | Oppo广东移动通信有限公司 | Video processing method and apparatus, electronic device and storage medium |
| CN111830390A (en) * | 2019-04-18 | 2020-10-27 | 中科寒武纪科技股份有限公司 | Test method and related product |
| CN111427750A (en) * | 2020-04-09 | 2020-07-17 | 中国人民解放军国防科技大学 | GPU power consumption estimation method, system and medium for computer platform |
Non-Patent Citations (1)
| Title |
|---|
| 王卓薇等: "一种基于GPU的高精度体系结构级功耗模型", 《计算机科学》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2022226936A1 (en) * | 2021-04-29 | 2022-11-03 | 华为技术有限公司 | Method for limiting power consumption, and apparatus |
| CN115361586A (en) * | 2022-10-19 | 2022-11-18 | 深圳市欣喜连连科技有限公司 | Method, system and storage medium for automatically managing power consumption of HDMI (high-definition multimedia interface) of intelligent photo frame |
| CN115361586B (en) * | 2022-10-19 | 2022-12-20 | 深圳市欣喜连连科技有限公司 | Method, system and storage medium for automatically managing power consumption of HDMI (high-definition multimedia interface) of intelligent photo frame |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112672405B (en) | 2023-12-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109240576B (en) | Image processing method and device in game, electronic device and storage medium | |
| US11513586B2 (en) | Control device, method and equipment for processor | |
| CN112005218B (en) | Method, device and system for distributing power of image processor | |
| CN111007931B (en) | Temperature control method, temperature control device, storage medium and electronic equipment | |
| US9823945B2 (en) | Method and apparatus for managing application program | |
| CN112631415A (en) | CPU frequency adjusting method, device, electronic equipment and storage medium | |
| CN112672405B (en) | Power consumption calculation method, device, storage medium, electronic equipment and server | |
| WO2019085749A1 (en) | Application program control method and apparatus, medium, and electronic device | |
| CN112346845B (en) | Method, device and equipment for scheduling coding tasks and storage medium | |
| US20200019788A1 (en) | Computer system, resource arrangement method thereof and image recognition method thereof | |
| CN111816139A (en) | Screen refresh rate switching method and electronic equipment | |
| CN110659604A (en) | Video detection method, device, server and storage medium | |
| CN111416996A (en) | Multimedia file detection method, multimedia file playing device, multimedia file equipment and storage medium | |
| CN107797832B (en) | Application cleaning method and device, storage medium and electronic equipment | |
| CN116661964A (en) | Task processing method and device and electronic equipment | |
| CN112051270B (en) | Power transmission line defect detection method, system, equipment and medium | |
| CN112911390A (en) | Video data playing method and terminal equipment | |
| CN113705309A (en) | Scene type judgment method and device, electronic equipment and storage medium | |
| CN112540848A (en) | Image decompression apparatus, method and readable storage medium | |
| CN114510211A (en) | Power consumption detection method and device, storage medium and electronic equipment | |
| CN114625581A (en) | Power consumption detection method and device, storage medium and electronic equipment | |
| CN107908802A (en) | log processing method, device, terminal device and storage medium | |
| CN117544602A (en) | Multimedia playing control method and device, electronic equipment and storage medium | |
| CN117896652A (en) | Audio processing method, device, system, electronic equipment and readable storage medium | |
| CN115686786A (en) | Resource allocation method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |