CN112672405B - Power consumption calculation method, device, storage medium, electronic equipment and server - Google Patents
Power consumption calculation method, device, storage medium, electronic equipment and server Download PDFInfo
- Publication number
- CN112672405B CN112672405B CN202011480129.9A CN202011480129A CN112672405B CN 112672405 B CN112672405 B CN 112672405B CN 202011480129 A CN202011480129 A CN 202011480129A CN 112672405 B CN112672405 B CN 112672405B
- Authority
- CN
- China
- Prior art keywords
- power consumption
- processing module
- video processing
- parameter
- frequency parameter
- 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.)
- Active
Links
- 238000004364 calculation method Methods 0.000 title claims abstract description 51
- 238000012545 processing Methods 0.000 claims abstract description 208
- 238000004590 computer program Methods 0.000 claims description 18
- 238000010276 construction Methods 0.000 claims description 4
- 230000000875 corresponding effect Effects 0.000 description 57
- 238000004458 analytical method Methods 0.000 description 26
- 238000000034 method Methods 0.000 description 21
- 238000010586 diagram Methods 0.000 description 8
- 238000001514 detection method Methods 0.000 description 4
- 238000013507 mapping Methods 0.000 description 4
- 230000002159 abnormal effect Effects 0.000 description 3
- 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
- 230000005611 electricity Effects 0.000 description 2
- 238000005457 optimization Methods 0.000 description 2
- 230000006399 behavior Effects 0.000 description 1
- 230000002860 competitive effect Effects 0.000 description 1
- 230000001276 controlling effect Effects 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
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
Abstract
The embodiment of the application discloses a power consumption calculation method and device for a video processing module of electronic equipment, a storage medium, the electronic equipment and a server, wherein the power consumption calculation method comprises the following steps: acquiring current power consumption factors of a video processing module of electronic equipment, wherein the power consumption factors comprise frequency parameters and bandwidth parameters; 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 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 bandwidth parameter and the pre-constructed power consumption model, 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
Currently, electronic devices such as smart phones and tablet computers are necessary for life, for example, video call, online video, online song listening, etc. can be performed by the electronic devices. Typically, these electronic devices are battery powered, which in turn means that power consumption occurs. However, in the related art, attention is paid only to the charge level of the 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, and the power consumption calculation method and device can be used for calculating 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 current power consumption factors of a video processing module of electronic equipment, wherein the power consumption factors comprise frequency parameters and bandwidth parameters;
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 the 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 by the present application.
In a fourth aspect, the present application also provides an electronic device, including 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 by the present application by loading the computer program.
In a fifth aspect, the present application also provides a server comprising a memory and a processor for executing any of the power consumption calculation methods as provided by the present application by invoking a computer program stored in the memory.
According to 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 bandwidth parameter and the pre-constructed power consumption model, and the power consumption calculation of the video processing module can be realized.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the description of the embodiments will be briefly described below.
Fig. 1 is a schematic flow chart of a power consumption calculation method according to an embodiment of the present application.
Fig. 2 is a second flow chart of a power consumption calculating method according to an embodiment of the present application.
Fig. 3 is a schematic diagram of a pre-constructed power consumption model according to an embodiment of the present application.
Fig. 4 is a schematic diagram of an electronic device calculating power consumption of a video processing module through a power consumption server according to an embodiment of the present application.
Fig. 5 is a schematic structural diagram of a power consumption computing device according to an embodiment of the present application.
Fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
It should be noted that the principles of the present application are illustrated as implemented in a suitable computing environment. The following description is based on illustrative embodiments of the application and should not be taken as limiting other embodiments of the application not described in detail herein.
It should be noted that relational terms such as first and second, and the like in the following embodiments of the application are used solely to distinguish one object or operation from another object or operation without necessarily limiting the 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 body of the power consumption calculation method may be a power consumption calculation device provided by the embodiment of the application or an electronic device integrated with the power consumption calculation device, where the power consumption calculation device 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 a mains supply, such as a desktop computer, an intelligent advertisement machine, or the like, where the execution body of the power consumption calculation method may also be a server.
Referring to fig. 1, fig. 1 is a schematic flow chart of a power consumption calculation method according to an embodiment of the application. The power consumption calculation method can be applied to electronic equipment and servers, the electronic equipment comprises a video processing module (Video Processing Unit, VPU), the video processing module has a hard decoding function and the capability of reducing CPU load, and the video processing module can also reduce the load of the servers and the consumption of network bandwidth. 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, 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, and when the power consumption of the electronic device is abnormal, it may not be determined whether the power consumption of the video processing module is abnormal, so a method for calculating the power consumption of the video processing module is particularly important. 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 equipment, wherein the power consumption factor comprises a frequency parameter and a bandwidth parameter.
The power consumption factor may be a factor playing a decisive role for power consumption of the video processing module, where the frequency parameter is a clock (clock) frequency when the video processing module works, and under a condition that other parameters of the video processing module are unchanged, the frequency parameter and the power consumption of the video processing module are positively correlated, it may be understood that the larger the frequency parameter is, the larger the power consumption of the video processing module is, where the bandwidth parameter is a communication bandwidth (bandwidth) between the video processing module and an external memory, and under a condition that other parameters of the video processing module are unchanged, the larger the bandwidth parameter and the power consumption of the video processing module are positively correlated, it may be understood that, for example, when the video processing module works under a fixed frequency parameter, the larger the bandwidth parameter is, the power consumption of the video processing module is larger when the video processing module works under different frequency parameters, the video processing the same specification parameter and the bandwidth parameter is the larger the power consumption of the video processing module is larger. I.e. the frequency parameters and bandwidth parameters of the video processing module may reflect the power consumption of the video processing module.
102, obtaining a pre-constructed power consumption model according to the frequency parameters.
The pre-constructed power consumption model can screen out power consumption parameters which possibly influence the power consumption of the video processing module according to expert experience, record the power consumption parameters as candidate power consumption parameters, screen out power consumption factors related to the video processing module from the power consumption parameters through a large number of experiments, wherein the power consumption factors can be understood as parameters which have a certain association relation (such as linear relation) with the power consumption, for example, for the video processing module, the power consumption factors which influence the power consumption of the video processing module can be frequency parameters and bandwidth parameters. Because the association 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 the different frequency parameters and different pre-constructed power consumption models, namely, 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 parameters 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 parameter.
After the pre-constructed power consumption model is determined, the bandwidth parameter is used as input data of the power consumption model, so that the power consumption of the video processing module can be calculated, and the obtained bandwidth parameter is used as input data of the power consumption model to calculate the power consumption of the video processing module because the pre-constructed model has the correlation relationship between the bandwidth parameter and the power consumption of the video processing module.
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, the power consumption of the video processing module can be calculated, and the detection of the power consumption of the video processing module can be realized.
In order to illustrate the construction process of the pre-constructed power consumption model of the present application, please refer to fig. 2, fig. 2 is a second flow chart of the power consumption calculation method provided in the embodiment of the present application.
201, adjusting the frequency parameter of the video processing module to a preset frequency parameter.
The frequency parameters of the video processing module can be adjusted to preset frequency parameters through frequency adjustment instructions, the frequency adjustment instructions can be operation commands of the android debug bridge (Android Debug Bridge, abd), the frequency parameters of the video processing module can be set through adb commands capable of setting the frequency parameters, the frequency shift of the video processing module can be four, namely, the preset frequency parameters can be any one of the first frequency parameters, the second frequency parameters, the third frequency parameters and the fourth frequency parameters, the first frequency parameters, the second preset frequency parameters, the third frequency parameters and the fourth frequency parameters can be in a relationship of increasing in sequence, a relationship of decreasing in sequence, and the like. 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 corresponding bandwidth parameters and corresponding power consumption when the video processing module plays different videos.
The different video may correspond to different specification parameters, and the specification parameters may include resolution, frame rate, or encoding mode, for example, the resolution of video a is 2048×1152, the frame rate is 30fps, the decoding mode is H264, the resolution of video B is 3840×2160, the frame rate is 60fps, and the decoding mode is H264.
The bandwidth parameters when the video processing module plays the video can be obtained through the bandwidth parameter reading instruction, for example, the bandwidth parameters when the video is played are read through an adb operation command for reading the bandwidth parameters, 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 | 2048×1152/30fps, h264+ video recording (medium) |
| 32.22796063 | 1080P_H264+ video recording (Medium) |
| 49.49187026 | 4096×2304/30fps,H264 |
| 62.45439154 | 4096×2304/30fps, H264+ video recording (medium) |
| 78.35501686 | 3840x2160/60fps,H264 |
| 100.1191648 | 3840x2160/60fps, H264+ video recording (medium) |
| 129.9252713 | 4096×2304/30fps, H264+ video recording (high) |
For example: when playing video with the resolution of 2048×1152, the frame rate of 30fps and the encoding mode of H264, the read bandwidth parameter is 11.02604681 hundred Mbps; when video with specification parameters of 1080P_H264 is played, the bandwidth parameter is 14.24605342 hundred Mbps; when a video with the resolution of 2048×1152, the frame rate of 30fps and the coding mode of H264 is played, and when a video with the medium resolution level is recorded by an image acquisition device such as a camera, the read bandwidth parameter is 24.57969556 hundred Mbps; playing video with specification parameters of 1080P_H264, and recording video with medium resolution level, wherein the read bandwidth parameter is 32.22796063 hundred Mbps; when a video with resolution of 4096×2304, frame rate of 30fps and coding mode of H264 is played, the read bandwidth parameter is 49.49187026 hundred Mbps; playing the video with the resolution of 4096×2304, the frame rate of 30fps and the coding mode of H264, and recording the video with the resolution level of medium, wherein the read bandwidth parameter is 62.45439154 hundred Mbps; when the video with the resolution of 3840x2160, the frame rate of 60fps and the coding mode of H264 is played, the read bandwidth parameter is 78.35501686 hundred Mbps; playing video with the resolution of 3840x2160, the frame rate of 60fps and the coding mode of H264, and recording video with the resolution level of medium, wherein the read bandwidth parameter is 100.1191648 hundred Mbps; when a video with resolution of 4096×2304, frame rate of 30fps and coding mode of H264 is played and a video with resolution level of high or the like is recorded, the read bandwidth parameter is 129.9252713 hundred Mbps. It is understood that the selected video may be selected empirically by one skilled in the art, and the bandwidth parameters corresponding to the video selected by the different specification parameters are different.
The power consumption of the video processing module is acquired through the power consumption acquisition device, the power consumption acquisition device can be a power consumption acquisition board, the power consumption acquisition board can read the power consumption of the video processing module in real time, the power consumption acquisition board is an external device, and the power consumption acquisition board is used for detecting the power consumption of different modules in the 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 the fixed frequency parameter, the video of different specification parameters of broadcast can obtain corresponding bandwidth parameter, can gather the consumption parameter that every bandwidth parameter corresponds through the consumption collection 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 application.
In the example of fig. 3, the bandwidth parameter is taken as the abscissa, the power consumption parameter is taken as the ordinate, a plurality of curves corresponding to the bandwidth parameter and the power consumption parameter can be obtained by fitting, the curve with the smallest variance is taken as a fitting curve Z of the bandwidth parameter and the power consumption parameter, and the curve Z is linearly fitted, so that a straight line W with a linear relation 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 relation can be obtained:
P＝0.3893*B+8.7002；
where P represents a power consumption parameter, B represents a bandwidth parameter, 0.3893 represents a correlation coefficient of the bandwidth parameter and the power consumption parameter, and 8.7002 represents a correlation constant of the bandwidth parameter and the power consumption parameter. Obtaining a power consumption model corresponding to the first frequency parameter: p=0.3893×b+8.7002, 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 correspondingly, that is, the coefficients a are different and the constants c can be the same or different in different frequency parameters. It will be appreciated that the larger the frequency parameter of the frequency range, 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 built, the current power consumption factor of the video processing module is obtained, the power consumption factor is a factor playing a decisive role for the power consumption of the video processing module, wherein the frequency parameter is the clock frequency when the video processing module works, the frequency parameter and the power consumption of the video processing module are positively correlated under the condition that other parameters of the video processing module are unchanged, it can be understood that the larger the frequency parameter is the communication bandwidth (bandwidth) between the video processing module and an external memory, the larger the bandwidth parameter is under the condition that other parameters of the video processing module are unchanged, the larger the bandwidth parameter is, for example, the larger the power consumption of the video processing module is when the video processing module works under a fixed frequency parameter, the larger the bandwidth parameter is when the video processing module works under the condition that the power consumption of the video processing module is identical, or the larger the video processing module is when the video processing module works under different frequency parameters, the video processing module is larger the video processing the video with the same power consumption parameter and the bandwidth parameter is larger. I.e. the frequency parameters and bandwidth parameters 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 when the electronic device plays a video file or records a video, when the electronic device runs a preset application, when the running load of the electronic device is greater than or equal to the preset load, and/or when the remaining power of the electronic device is less than the preset power, where the preset application may be a video playing application or a game application that needs to process video data. The method includes the steps that when a preset target event triggering power consumption detection of the video processing module is detected, power consumption detection of the video processing module is triggered. Wherein the target event can be configured by one of ordinary skill in the art according to actual needs, and is not particularly limited herein.
Configured target events include, but are not limited to:
(1) Playing or recording video;
(2) Opening a preset application;
(3) Bulk temperature superheat (which can be defined empirically by one of ordinary skill in the art);
(4) Switching on and off the screen;
(5) Pulling/inserting a charging wire;
(6) The electricity consumption reaches a set value (the electricity consumption can be taken by a person of ordinary skill in the art according to actual needs, such as 10 percent);
(7) A preset detection period (which can be taken by a person skilled in the art according to the actual need, for example 1 minute) is reached.
205, if the frequency parameter is a preset frequency parameter, acquiring a power consumption model corresponding to the preset frequency parameter.
After the current frequency parameters of the electronic equipment are obtained, judging whether the current frequency parameters of the video processing module are preset frequency parameters, such as the first frequency parameters, the second frequency parameters, the third frequency parameters or the fourth frequency parameters, wherein the preset frequency parameters correspond to the corresponding pre-built power consumption models constructed by the method. If the current frequency parameter is a preset frequency parameter, a power consumption model corresponding to the current frequency parameter is obtained, for example, the obtained current frequency parameter is a first frequency parameter, and the power consumption model corresponding to the first frequency parameter is obtained.
In order to improve the accuracy of the calculation of the pre-constructed power consumption model, a power consumption factor can be increased, and the power consumption factor also comprises a data type; 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 corresponding bandwidth parameters and corresponding power consumption when the video processing module plays the video set;
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 specification parameters of the video may include a tag of the video and a data processing type corresponding to the video tag, for example, the tag of the video a is a "detail processing level a", the tag of the video B is a "detail processing level B", the data processing type corresponding to the "detail processing level a" is a video set that needs to read data from an internal memory of the video processing module, the data processing type corresponding to the "detail processing level B" is a set that needs to read data from an external memory frequently, 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, so as to obtain a first video set and a second video set, where the first video set may be a video set that requires higher detail processing, for example, a time-division action piece, 3D animation piece, and competitive piece, and the like, and the second video set may be a video set that requires less dynamic detail for example, a video record, talk-time-division piece, or a video set that requires less dynamic detail. For the video processing module, if the video with outstanding dynamic details needs to be processed, the video needs to be stored in the internal memory, so that the video is convenient to process, if the video with low requirements on the dynamic details needs to be processed, the video does not need to be stored in the internal memory, 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 video set is processed due to the fact that the data of the external memory is called frequently.
Based on the above, 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 by the method, the power consumption model corresponding to the preset frequency parameters and the preset data types can be constructed. The frequency parameters and data processing types and power consumption model may build 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 a power consumption factor, wherein the power consumption factor comprises a frequency parameter, a bandwidth parameter and a data type.
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 obtained frequency parameter is a first preset frequency parameter, the processed data type is a first type, and the 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 to the electronic device or may be deployed at the cloud. To be deployed in the cloud example: referring to fig. 4, fig. 4 is a schematic diagram of an electronic device calculating power consumption of a video processing module through a power consumption server according to an embodiment of the application. The present application provides a server comprising a memory, a processor for executing the power consumption calculation method as provided by the present application by calling a computer program stored in the memory.
The network access device provides network access service for the electronic device, so that the electronic device can access the Internet through the network access device. 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 provided with a pre-built power consumption model, and 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 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.
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 provided with a pre-built power consumption model, and 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, and the power consumption parameters of the video processing module are returned to the electronic equipment, and on the other hand, the electronic equipment receives the audio processing power consumption returned by the power consumption server.
Optionally, in an embodiment, when sending the power consumption factor to the preset power consumption server, the method 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 alternatively
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 alternatively
When the running load of the electronic equipment is greater than or equal to a preset load, the current power consumption factor of the video processing module of the electronic equipment is obtained; or alternatively
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 conditions for obtaining the power consumption factor of the video processing module of the electronic device are not particularly limited, and may be configured by those of ordinary skill in the art according to actual needs.
Optionally, in some embodiments, the power consumption calculating 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 power consumption parameters of the video processing module according to a preset analysis strategy 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 application, an analysis server is provided, which is configured to provide big data analysis services to an electronic device.
The analysis server is configured with an analysis policy, which is used for describing how to analyze big data of power consumption of a video processing module from the electronic device, and the analysis policy can be specifically configured by a person of ordinary skill in the art according to actual needs, and the embodiment of the application is not particularly limited. For example, an analysis policy for bandwidth limitation of video processing of a user, control of power consumption behavior when playing a video, or determination of a recording manner when recording a video may be configured, an analysis policy for recommending a video processing mode may be configured, and the like. After analyzing the obtained analysis result, the analysis server transmits the analysis result to the electronic device.
Accordingly, 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 herein, and may be configured by one of ordinary skill in the art according to actual needs, including but not limited to audio, video, text, image, etc. output modes.
In addition, the electronic device may perform targeted optimization processing according to the foregoing analysis result, for example, when the analysis result reflects that the bandwidth parameter is not matched with the specification parameter of the video played by the user, the bandwidth parameter may be adjusted to adjust the power consumption of the video processing module, for example, when the video processing module processes the video with smaller data size, the bandwidth parameter corresponding to the video processing module is larger, that is, the bandwidth parameter and the specification parameter of the video are not matched, and the bandwidth parameter may be adjusted. I.e. the electronic device can perform targeted bandwidth optimization according to the analysis result.
Optionally, in an embodiment, the power consumption calculating method provided by the present application further includes:
(1) Acquiring the total power consumption of the electronic equipment;
(2) Judging whether the total power consumption is larger than preset power consumption, if the total power consumption is larger than the preset power consumption, judging whether the power consumption parameters calculated through the power consumption model meet preset conditions, and if the power consumption parameters do not meet the preset conditions, the power consumption module of the video processing module is abnormal.
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, the fault server is provided, and is configured to provide fault analysis service for the electronic equipment, and the fault server writes the fault information from the electronic equipment into a local database for relevant technicians to perform fault analysis on the electronic equipment, so that a corresponding solving strategy is provided, and after-sales service of the electronic product is facilitated.
It will be appreciated that although the frequency parameter, bandwidth parameter and data processing type are used as the power consumption factors of the video processing module in the present application, this is not intended to represent that the present application considers other parameters than the power consumption factors described above to be independent of the power consumption of the video processing module.
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, and 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 of the video processing module can be detected on the software level of the video processing module without detecting the video processing module through external equipment.
Referring to fig. 5, fig. 5 is a schematic structural diagram of a power consumption computing device according to an embodiment of the application.
In order to better perform the power consumption calculation method provided by the present application, the present application further provides a power consumption calculation apparatus 300, where the power consumption calculation apparatus 300 is applied to an electronic device, the power consumption calculation 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 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 includes:
P＝aB+c；
wherein, P represents power consumption, B represents bandwidth parameter, a represents the correlation coefficient of bandwidth parameter and power consumption, and c represents the correlation constant of bandwidth parameter and power consumption.
Optionally, in some embodiments, the constructing the power consumption model includes:
P＝0.3893*B+8.7002。
optionally, in some embodiments, when acquiring the current power consumption factor of the video processing module of the electronic device, the first acquisition module 310 is further configured to:
And when the electronic equipment plays the video file, acquiring the current power consumption factor of the video processing module of the electronic equipment. Optionally, in some embodiments, when acquiring the current power consumption factor of the video processing module of the electronic device, the first acquisition module 310 is further configured to:
and when the electronic equipment runs with a preset application, acquiring the current power consumption factor of a video processing module of the electronic equipment.
Optionally, in some embodiments, when acquiring the current power consumption factor of the video processing module of the electronic device, the first acquisition module 310 is further configured to:
and when the running load of the electronic equipment is larger than or equal to a preset load, acquiring the current power consumption factor of the video processing module of the electronic equipment.
Optionally, in some embodiments, when acquiring the current power consumption factor of the video processing module of the electronic device, the first acquisition 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 the video processing module of the electronic equipment.
In some embodiments, the power consumption computing device 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 corresponding bandwidth parameters and the corresponding power consumption when the video processing module plays different videos; and
the construction module is used for constructing a power consumption model corresponding to the preset frequency parameter according to the corresponding bandwidth parameter and the corresponding power consumption;
the second obtaining module 320 is further configured to, when obtaining the pre-constructed power consumption model according to the frequency parameter:
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 parameter and the data type.
In some embodiments, the power consumption computing device 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 corresponding bandwidth parameters and the corresponding power consumption when the video processing module plays the video set;
The construction module is further configured to construct 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, when acquiring the pre-constructed power consumption model according to the frequency parameters, the second acquisition module 320 is further configured to: and if the frequency parameter is the preset frequency parameter and the data type is the 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 apparatus 300 provided in the embodiment of the present application and the power consumption calculating method in the above embodiment belong to the same concept, and detailed implementation processes thereof are described in the above related embodiments, which are not repeated here.
The embodiment of the application also provides electronic equipment, which comprises a memory and a processor, wherein the processor is used for executing the steps in the power consumption calculation method provided by the embodiment by calling the 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 application.
The electronic device 400 may include a network interface 410, a memory 420, a processor 430, a video processing module 440, and the like. It will be appreciated by those skilled in the art that the configuration of the electronic device 400 shown in fig. 6 is not limiting of the electronic device 400 and may include more or fewer components than shown, or may combine certain components, or a different arrangement of components.
The video processing module 440 (Video Processing Unit, VPU) may integrate a plurality of functional modules, such as a video processing module, on a System On Chip (SOC) chip of the electronic device for encoding and decoding video, the video processing module 440 having a hard decoding function and a capability to reduce CPU load, the video processing module may also reduce server load and consumption of network bandwidth.
The network interface 410 may be used to make network connections between devices.
Memory 420 may be used to store computer programs and data. The memory 420 stores computer programs including executable code. The computer program may be divided into various functional modules. The processor 430 executes various functional applications and data processing by running computer programs stored in the memory 420.
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 controlling the electronic device 400 as a whole.
In an embodiment of the present application, the processor 430 in the electronic device 400 loads executable codes corresponding to one or more computer programs into the memory 420 according to the following instructions, and the processor 430 executes the executable codes to perform the following steps:
acquiring current power consumption factors of a video processing module of electronic equipment, wherein the power consumption factors comprise frequency parameters and bandwidth parameters;
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 bandwidth parameter through the pre-constructed power consumption model.
Optionally, in some embodiments, the pre-built power consumption model includes:
P＝aB+c；
wherein, P represents power consumption, B represents bandwidth parameter, a represents the correlation coefficient of bandwidth parameter and power consumption, and c represents the correlation constant of bandwidth parameter and power consumption.
Optionally, in some embodiments, the constructing the power consumption model includes:
P＝0.3893*B+8.7002。
optionally, in some embodiments, when acquiring 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 the video processing module of the electronic equipment. Optionally, in some embodiments, when acquiring 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 the current power consumption factor of a video processing module of the electronic equipment.
Optionally, in some embodiments, when acquiring 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 larger than or equal to a preset load, acquiring the current power consumption factor of the video processing module of the electronic equipment.
Optionally, in some embodiments, when acquiring 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 the video processing module of the electronic equipment.
Optionally, in some embodiments, before the power consumption factor of the video processing module is obtained, 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 deriving the pre-constructed power consumption model from 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 perform:
and acquiring a pre-constructed power consumption model according to the frequency parameter and the data type.
Optionally, in some embodiments, before acquiring the power consumption factor of the video processing module, the processor 430 is further configured to perform:
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 corresponding bandwidth parameters and corresponding power consumption when the video processing module plays the video set;
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 deriving the pre-constructed power consumption model from 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 the 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 calculating method in the above embodiment belong to the same concept, and detailed implementation processes of the electronic device are described in the above related embodiments, which are not repeated here.
The present application also provides a computer-readable storage medium having stored thereon a computer program which, when executed on a processor of an electronic device provided by an embodiment of the present application, causes the processor of the electronic device 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 (Random Access Memory, RAM), or the like.
The above description of the power consumption calculating method, the device, the storage medium, the electronic device and the server for the video processing module of the electronic device provided by the application applies specific examples to illustrate the principles and the implementation of the application, and the above examples are only used for helping to understand the method and the core idea of the application; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in light of the ideas of the present application, the present description should not be construed as limiting the present application.
Claims (13)
1. A power consumption calculation method for a video processing module of an electronic device, the power consumption calculation method comprising:
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;
acquiring current power consumption factors of a video processing module of electronic equipment, wherein the power consumption factors comprise frequency parameters and bandwidth parameters;
if the frequency parameter is the preset frequency parameter, a pre-constructed power consumption model corresponding to the preset frequency parameter is obtained, and different frequency parameters correspond to different power consumption models; 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 according to claim 1, wherein the pre-constructed power consumption model includes:
P=aB +c；
wherein, P represents power consumption, B represents bandwidth parameter, a represents the correlation coefficient of bandwidth parameter and power consumption, and c represents the correlation constant of bandwidth parameter and power consumption.
3. The power consumption calculation method according to claim 2, wherein the pre-constructed power consumption model includes:
P=0.3893*B+8.7002。
4. the power consumption computing method of claim 1, wherein obtaining a current power consumption factor of a video processing module of an electronic device comprises:
and when the electronic equipment plays the video file, acquiring the current power consumption factor of the video processing module of the electronic equipment.
5. The power consumption computing method of claim 1, wherein obtaining a current power consumption factor of a video processing module of an electronic device comprises:
and when the electronic equipment runs with a preset application, acquiring the current power consumption factor of a video processing module of the electronic equipment.
6. The power consumption computing method of claim 1, wherein obtaining a current power consumption factor of a video processing module of an electronic device comprises:
and when the running load of the electronic equipment is larger than or equal to a preset load, acquiring the current power consumption factor of the video processing module of the electronic equipment.
7. The power consumption computing method of claim 1, wherein obtaining a current power consumption factor of a video processing module of an 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 the video processing module of the electronic equipment.
8. The power consumption calculation method according to claim 1, wherein the power consumption factor further includes a data type;
if the frequency parameter is the preset frequency parameter, the step of obtaining a pre-constructed power consumption model corresponding to the preset frequency parameter comprises the following steps:
and acquiring a pre-constructed power consumption model according to the frequency parameter and the data type.
9. The power consumption calculation method of claim 8, further comprising, prior to acquiring 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 corresponding bandwidth parameters and corresponding power consumption when the video processing module plays the video set;
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;
If the frequency parameter is the preset frequency parameter, the step of obtaining a pre-constructed power consumption model corresponding to the preset frequency parameter comprises the following steps:
and if the frequency parameter is the preset frequency parameter and the data type is the preset data type, acquiring a preset power consumption model corresponding to the preset frequency parameter and the preset data.
10. A power consumption computing apparatus for a video processing module of an electronic device, the apparatus comprising:
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 corresponding bandwidth parameters and the corresponding power consumption when the video processing module plays different videos;
the construction module is used for constructing a power consumption model corresponding to the preset frequency parameter according to the corresponding bandwidth parameter and the corresponding power consumption;
the first acquisition module is used for acquiring the current power consumption factor of the 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 corresponding to the preset frequency parameter if the frequency parameter is the preset frequency parameter, and different frequency parameters correspond to different power consumption models; 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.
11. A storage medium having stored thereon a computer program, wherein the computer program, when loaded by a processor of an electronic device, performs the power consumption calculation method according to any of claims 1-9.
12. An electronic device comprising a video processing module, a processor and a memory, the memory storing a computer program, characterized in that the processor performs the power consumption calculation method according to any one of claims 1-9 by loading the computer program.
13. A server comprising a memory, a processor, characterized in that the processor is adapted to execute the power consumption calculation method according to any one of claims 1-9 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 CN112672405A (en) | 2021-04-16 |
| CN112672405B true 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) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116670622A (en) * | 2021-04-29 | 2023-08-29 | 华为技术有限公司 | Method and device for limiting power consumption |
| 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 |
Citations (6)
| 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 |
| 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 |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9851771B2 (en) * | 2013-12-28 | 2017-12-26 | Intel Corporation | Dynamic power measurement and estimation to improve memory subsystem power performance |
-
2020
- 2020-12-15 CN CN202011480129.9A patent/CN112672405B/en active Active
Patent Citations (6)
| 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 |
| 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 |
|---|
| 一种基于GPU的高精度体系结构级功耗模型;王卓薇等;《计算机科学》;20161115(第11期);全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112672405A (en) | 2021-04-16 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11513586B2 (en) | Control device, method and equipment for processor | |
| CN109240576B (en) | Image processing method and device in game, electronic device and storage medium | |
| CN112631415B (en) | CPU frequency adjusting method, device, electronic equipment and storage medium | |
| CN110826071B (en) | Software vulnerability risk prediction method, device, equipment and storage medium | |
| CN112672405B (en) | Power consumption calculation method, device, storage medium, electronic equipment and server | |
| CN111007931B (en) | Temperature control method, temperature control device, storage medium and electronic equipment | |
| WO2021133253A1 (en) | Method and apparatus for predicting energy consumption, and device and storage medium thereof | |
| CN112005218A (en) | Method, device and system for power distribution of image processor | |
| CN117010571A (en) | Traffic prediction method, device and equipment | |
| CN111898495B (en) | Dynamic threshold management method, system, device and medium | |
| CN111144511A (en) | Image processing method, system, medium and electronic terminal based on neural network | |
| CN110276404B (en) | Model training method, device and storage medium | |
| CN114676825A (en) | Neural network model quantification method, system, device and medium | |
| CN107729144B (en) | Application control method and device, storage medium and electronic equipment | |
| CN116188118B (en) | Target recommendation method and device based on CTR prediction model | |
| CN112911390B (en) | Video data playing method and terminal equipment | |
| CN116781568A (en) | Data monitoring alarm method, device, equipment and storage medium | |
| CN112051270B (en) | Power transmission line defect detection method, system, equipment and medium | |
| CN105516793A (en) | Method and apparatus of lapse monitoring | |
| CN108803857A (en) | Application software energy consumption monitoring method, mobile terminal and readable storage medium storing program for executing | |
| CN113947418A (en) | Feedback information acquisition 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 | |
| CN116561735B (en) | Mutual trust authentication method and system based on multiple authentication sources and electronic equipment | |
| CN109218411B (en) | Data processing method and device, computer readable storage medium and electronic equipment |
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 |