CN116931703A - Electronic contest host power supply voltage adjusting method based on data analysis - Google Patents

Electronic contest host power supply voltage adjusting method based on data analysis Download PDF

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CN116931703A
CN116931703A CN202311198600.9A CN202311198600A CN116931703A CN 116931703 A CN116931703 A CN 116931703A CN 202311198600 A CN202311198600 A CN 202311198600A CN 116931703 A CN116931703 A CN 116931703A
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host
power supply
supply voltage
cpu frequency
host cpu
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CN116931703B (en
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赵宗晖
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Huizhou Sinhuiyuan Technology Co ltd
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Huizhou Sinhuiyuan Technology Co ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F1/00—Details not covered by groups G06F3/00 - G06F13/00 and G06F21/00
    • G06F1/26—Power supply means, e.g. regulation thereof
    • G06F1/32—Means for saving power
    • G06F1/3203—Power management, i.e. event-based initiation of a power-saving mode
    • G06F1/3206—Monitoring of events, devices or parameters that trigger a change in power modality
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F1/00—Details not covered by groups G06F3/00 - G06F13/00 and G06F21/00
    • G06F1/26—Power supply means, e.g. regulation thereof
    • G06F1/32—Means for saving power
    • G06F1/3203—Power management, i.e. event-based initiation of a power-saving mode
    • G06F1/3234—Power saving characterised by the action undertaken
    • G06F1/3243—Power saving in microcontroller unit
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F1/00—Details not covered by groups G06F3/00 - G06F13/00 and G06F21/00
    • G06F1/26—Power supply means, e.g. regulation thereof
    • G06F1/32—Means for saving power
    • G06F1/3203—Power management, i.e. event-based initiation of a power-saving mode
    • G06F1/3234—Power saving characterised by the action undertaken
    • G06F1/3296—Power saving characterised by the action undertaken by lowering the supply or operating voltage
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/30—Monitoring
    • G06F11/3003—Monitoring arrangements specially adapted to the computing system or computing system component being monitored
    • G06F11/3024—Monitoring arrangements specially adapted to the computing system or computing system component being monitored where the computing system component is a central processing unit [CPU]
    • 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

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  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Computing Systems (AREA)
  • Mathematical Physics (AREA)
  • Quality & Reliability (AREA)
  • Power Sources (AREA)

Abstract

The invention relates to the technical field of voltage adjustment, in particular to a method for adjusting the power supply voltage of an electronic contest host based on data analysis, which is used for analyzing the frequency of a host CPU of the electronic contest host in a preset historical time period and obtaining an energy efficiency ratio parameter according to the change relation between the frequency of the host CPU and the power supply voltage of the host; obtaining a stability coefficient according to the numerical value of the CPU frequency of the host and the time sequence variation fluctuation condition; and evaluating the voltage priority parameters of the host power supply voltage to the host CPU frequency at each predicted moment by combining the energy efficiency ratio parameter and the stability coefficient, and screening out the optimal host power supply voltage to be adjusted at the current moment according to the distribution condition of the voltage priority parameters. The method for adjusting the power supply voltage of the electronic contest host through the obtained optimal power supply voltage of the host is higher in accuracy.

Description

Electronic contest host power supply voltage adjusting method based on data analysis
Technical Field
The invention relates to the technical field of voltage adjustment, in particular to a method for adjusting power supply voltage of an electronic contest host based on data analysis.
Background
Due to the continuous development of the field of electronic bidding, the stability requirement and the performance requirement of people on an electronic bidding host are higher and higher, and the higher power supply voltage of the electronic bidding host can provide stable current output, so that the electronic bidding host can also maintain certain fluency and stability when playing high-performance games. And the higher power supply voltage of the electronic bidding host can also provide larger power output, so that the electronic bidding host has better performance potential to cope with games or application programs with higher performance requirements. However, a large amount of unnecessary energy waste is generated due to long-time high-voltage supply, and electronic elements in the electronic bidding host are in a high-temperature environment for a long time, so that the service life is influenced, and therefore, the selection of a proper host power supply voltage is important to the performance and stability of the electronic bidding host.
In the prior art, the adjustment of the power supply voltage of the electronic bidding host is further realized by adjusting the energy-saving mode or the performance mode of the electronic bidding host according to the performance requirement of the electronic bidding host in the historical priori data; when the performance requirement of the electronic contest host is lower, selecting an energy-saving mode; when the performance requirement of the electronic contest host is high, selecting a performance mode; however, the performance requirement of the electronic bidding host in the use process is changed in real time, and the method of manually selecting the energy-saving mode or the performance mode cannot adjust the power supply voltage of the host in time, so that the situation that the voltage is too high or too low is possibly generated, unnecessary energy waste is generated and even the service life of the electronic bidding host is influenced due to the too high voltage, and electronic elements in the electronic bidding host cannot stably operate due to the too low voltage, so that the performance of the host is influenced and even data is lost. Therefore, in the prior art, according to the performance requirement of the electronic bidding host in the historical priori data, the method for adjusting the power supply voltage of the electronic bidding host by adjusting the energy-saving mode or the performance mode of the electronic bidding host is not accurate enough.
Disclosure of Invention
In order to solve the technical problem that the method for realizing the adjustment of the power supply voltage of the electronic bidding host by adjusting the energy-saving mode or the performance mode of the electronic bidding host according to the performance requirement of the electronic bidding host in the historical prior data in the prior art is inaccurate, the invention aims to provide the method for adjusting the power supply voltage of the electronic bidding host based on data analysis, and the adopted technical scheme is as follows:
The invention provides a method for adjusting power supply voltage of an electronic contest host based on data analysis, which comprises the following steps:
acquiring the host CPU frequency of each moment in a preset historical time period before the current moment of the electronic contest host;
taking all the moments in a preset historical time period as historical moments, and taking all the moments in a preset prediction time period after the preset historical time period as prediction moments; obtaining the host CPU frequencies at all the predicted moments according to the time sequence change rules of the host CPU frequencies at all the historical moments; according to the change relation between the host CPU frequency and the host power supply voltage, obtaining the energy efficiency ratio parameter of the host CPU frequency at each predicted moment under each host power supply voltage;
obtaining stability coefficients of the host CPU frequency at each predicted moment under each host power supply voltage according to the numerical distribution condition of the host CPU frequency at all moments and the influence degree of the corresponding time sequence variation fluctuation condition on each host power supply voltage; according to the energy efficiency ratio parameter and the stability coefficient, obtaining a voltage priority parameter of each host power supply voltage to the host CPU frequency at each prediction moment;
and obtaining the optimal host power supply voltage of the electronic bidding host at the current moment according to the distribution condition of all the voltage priority parameters corresponding to the power supply voltages of the hosts.
Further, the method for acquiring the energy efficiency ratio parameter comprises the following steps:
obtaining the highest host CPU frequency corresponding to each host power supply voltage according to the change relation between the host CPU frequency and the host power supply voltage in the historical prior data; taking the host power supply voltage with each host CPU frequency as the highest host CPU frequency as the lowest host power supply voltage corresponding to each host CPU frequency;
optionally selecting a host power supply voltage as a target host power supply voltage; optionally selecting a host CPU frequency at a predicted time as a target host CPU frequency; taking the highest host CPU frequency corresponding to the target host power supply voltage as an ideal host CPU frequency;
when the target host power supply voltage is smaller than the lowest host power supply voltage corresponding to the target host CPU frequency, setting the energy efficiency ratio parameter of the target host CPU frequency under the target host power supply voltage as a preset energy efficiency parameter;
when the target host power supply voltage is greater than or equal to the lowest host power supply voltage corresponding to the target host CPU frequency, the energy efficiency ratio parameter of the target host CPU frequency under the target host power supply voltage is obtained according to the target host CPU frequency and the ideal host CPU frequency, the target host CPU frequency is in direct proportion to the energy efficiency ratio parameter, and the ideal host CPU frequency is in inverse proportion to the energy efficiency ratio parameter.
Further, the method for obtaining the stability coefficient comprises the following steps:
arranging the host CPU frequencies corresponding to all the historical moments and all the predicted moments in time sequence to obtain a host CPU frequency time sequence; obtaining the fluctuation degree of the host CPU frequency corresponding to all historical moments and all predicted moments according to the difference distribution condition between each host CPU frequency and the adjacent host CPU frequency in the host CPU frequency time sequence;
taking the accumulated sum of the frequency fluctuation degrees of the host CPU at all the prediction moments as a reference accumulated value; obtaining a host stability characteristic value corresponding to each prediction time according to the host CPU frequency fluctuation degree corresponding to each prediction time and the reference accumulated value; the fluctuation degree of the CPU frequency of the host is positively correlated with the host stability characteristic value, and the reference accumulated value is negatively correlated with the host stability characteristic value;
normalizing the frequency of the host CPU corresponding to each prediction time to obtain the frequency weight of the host CPU corresponding to each prediction time; obtaining a host stability weight corresponding to the host CPU frequency at each prediction moment according to the host stability characteristic value and the host CPU frequency weight, wherein the host stability characteristic value and the host CPU frequency weight are positively correlated with the host stability weight;
Optionally selecting a host power supply voltage as a reference host power supply voltage; taking the product between the lowest host power supply voltage of the host CPU frequency corresponding to each prediction time and the host stability weight as a first product; and obtaining a stability coefficient of the host CPU frequency at each prediction moment under the reference host power supply voltage according to the reference host power supply voltage and the first product, wherein the stability coefficient is positively correlated with the reference host power supply voltage, and the stability coefficient is negatively correlated with the first product.
Further, the method for obtaining the optimal host power supply voltage comprises the following steps:
taking the average value of all the voltage priority parameters corresponding to each host power supply voltage as a host voltage priority evaluation value corresponding to each host power supply voltage; and taking the host power supply voltage with the highest host voltage priority evaluation value as the optimal host power supply voltage.
Further, the method for obtaining the host stability weight corresponding to the host CPU frequency at each predicted time according to the host stability feature value and the host CPU frequency weight includes:
and taking the normalized value of the product of the host stability characteristic value and the host CPU frequency weight as the host stability weight corresponding to the host CPU frequency at each prediction moment.
Further, the method for obtaining the energy efficiency ratio parameter of the target host CPU frequency under the power supply voltage of the target host according to the target host CPU frequency and the ideal host CPU frequency comprises the following steps:
and taking the ratio between the target host CPU frequency and the ideal host CPU frequency as an energy efficiency ratio parameter of the target host CPU frequency under the target host power supply voltage.
Further, the method for acquiring the voltage priority parameter includes:
and taking the product of the energy efficiency ratio parameter and the stability coefficient as a voltage priority parameter of each host power supply voltage to the host CPU frequency at each prediction moment.
Further, the method for acquiring the frequency fluctuation degree of the host CPU comprises the following steps:
in the host CPU frequency time sequence, doubling the difference of the host CPU frequency between the last predicted time and the previous predicted time is used as the fluctuation degree of the host CPU frequency corresponding to the last predicted time; taking twice of the difference of the host CPU frequency between the first historical moment and the later historical moment as the fluctuation degree of the host CPU frequency corresponding to the first historical moment;
optionally selecting a time except the last predicted time and the first historical time as a target time; in the host CPU frequency time sequence, taking the difference of the host CPU frequency between the target time and the previous time as a first difference; taking the difference of the host CPU frequency between the target time and the later time as a second difference; and taking the sum value of the first difference and the second difference as the frequency fluctuation degree of the host CPU corresponding to the target time.
Further, the calculation formula of the highest host CPU frequency includes:
；
wherein ,is->The highest host CPU frequency corresponding to the power supply voltage of the host, < > is>Is->Host power supply voltage, ">Is a logarithmic function based on a natural constant e.
Further, the method for obtaining the host CPU frequency at the predicted time comprises the following steps:
the host CPU frequencies at all the historical moments are arranged in time sequence, and a host CPU frequency sequence corresponding to a preset historical time period is obtained; and predicting according to the host CPU frequency sequence corresponding to the preset historical time period by a moving average method to obtain the host CPU frequency of each prediction moment in the preset prediction time period.
The invention has the following beneficial effects:
according to the invention, the time sequence change rule of the host CPU frequency at the historical moment is predicted to obtain the host CPU frequency at the predicted moment, and the subsequent analysis is carried out according to the host CPU frequency at the predicted moment, so that the required host power supply voltage of the host at the current moment is conveniently and timely adjusted, and the adjustment of the power supply voltage of the electronic bidding host is more accurate and timely. Further, the fact that the excessive host power supply voltage can generate unnecessary energy waste is considered, so that corresponding energy efficiency ratio parameters are obtained according to the change relation between the host CPU frequency and the host power supply voltage, and the utilization rate of the host power supply voltage is reflected through the energy efficiency ratio parameters; the performance of the electronic contest host is further considered to influence the magnitude and fluctuation condition of the host CPU frequency, and the corresponding stability coefficient is obtained according to the numerical distribution condition of the host CPU frequency and the influence degree of the corresponding time sequence variation fluctuation condition on the power supply voltage of each host, and the stability of the power supply voltage of the host is reflected through the stability coefficient; and further combining the energy efficiency ratio parameter with the stability coefficient, comprehensively evaluating the utilization rate and stability of the power supply voltage of the host to obtain a voltage priority parameter corresponding to each power supply voltage of the host, and finally obtaining the optimal power supply voltage of the electronic contest host at the current moment according to the voltage priority parameter. Because the optimal host power supply voltage is obtained in real time, and the utilization rate and the stability of the host power supply voltage are considered, the invention adjusts the host power supply voltage more timely, and the running of the electronic contest host is more stable while unnecessary energy waste is avoided, namely, the invention adjusts the electronic contest host power supply voltage more accurately. In summary, the accuracy of the method for adjusting the power supply voltage of the electronic contest host by the obtained optimal power supply voltage of the host is higher.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions and advantages of the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are only some embodiments of the invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a method for adjusting power supply voltage of an electronic bidding host based on data analysis according to an embodiment of the present invention.
Detailed Description
In order to further describe the technical means and effects adopted by the invention to achieve the preset aim, the following is a detailed description of specific implementation, structure, characteristics and effects of the electronic bidding host power supply voltage adjusting method based on data analysis according to the invention with reference to the accompanying drawings and the preferred embodiment. In the following description, different "one embodiment" or "another embodiment" means that the embodiments are not necessarily the same. Furthermore, the particular features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
The following specifically describes a specific scheme of the electronic bidding host power supply voltage adjustment method based on data analysis.
Referring to fig. 1, a flowchart of a method for adjusting power supply voltage of an electronic bidding host based on data analysis according to an embodiment of the present invention is shown, where the method includes:
step S1: and acquiring the host CPU frequency of each moment in a preset historical time period before the current moment of the electronic bidding host.
The invention aims to provide a data analysis-based power supply voltage adjustment method of an electronic bidding host, which is used for analyzing according to CPU frequency of the electronic bidding host in historical data, adaptively adjusting to the optimal host power supply voltage which is most in line with the voltage requirement of the electronic bidding host at the current moment, and finally adjusting the power supply voltage of the electronic bidding host according to the optimal host power supply voltage, so that the electronic bidding host can avoid unnecessary energy waste under the condition of stable running, and the accuracy of adjusting the power supply voltage of the electronic bidding host is higher.
Therefore, the CPU frequency of the electronic bidding host in the historical data needs to be acquired first. In the embodiment of the invention, the CPU frequency of the host computer is acquired through the CPU frequency real-time monitoring software, the preset history time period is set to be 1 hour, and the acquisition frequency is set to be 1 time per second, namely the corresponding CPU frequency of the host computer is acquired within 1 hour before the current moment. It should be noted that, the implementer can adjust the host CPU frequency acquisition method, the length of the preset history period and the size of the acquisition frequency according to the specific implementation environment.
Step S2: taking all the moments in a preset historical time period as historical moments, and taking all the moments in a preset prediction time period after the preset historical time period as prediction moments; obtaining the host CPU frequencies at all the predicted moments according to the time sequence change rules of the host CPU frequencies at all the historical moments; and obtaining the energy efficiency ratio parameters of the host CPU frequency at each predicted moment under each host power voltage according to the change relation between the host CPU frequency and the host power voltage.
Considering that the performance requirement of the electronic bidding host is changed in real time, namely the corresponding host power supply voltage requirement is also changed in real time, in order to obtain the optimal host power supply voltage which is most in line with the electronic bidding host at the current time in time, the embodiment of the invention takes all moments in a preset historical time period as historical moments and takes all moments in a preset prediction time period after the preset historical time period as prediction moments. And further analyzing the host CPU frequency at each prediction time in a preset prediction time period, so that the obtained optimal host power supply voltage is more timely. In the embodiment of the present invention, the preset prediction time period is set to 10s, that is, the preset prediction time period includes 10 prediction moments. In addition, the CPU temperature is influenced by frequent adjustment of the host power supply voltage, so that the service life of the CPU is influenced, and therefore the embodiment of the invention reduces the adjustment times of the host power supply voltage by setting the preset prediction time period, so that the influence of the host power supply voltage adjustment on the CPU temperature is reduced, namely the embodiment of the invention obtains the optimal host power supply voltage once every preset prediction time period. It should be noted that, because the compatibility of the different types of electronic contest hosts to the host power supply voltage change frequency is different, that is, the frequency capable of tolerating and adjusting the host power supply voltage is different, the implementer can automatically adjust the size of the preset prediction time period according to the specific implementation environment, thereby realizing the adjustment of the electronic contest host power supply voltage change frequency, and no further description is given here.
In consideration of the fact that the host CPU frequency is predicted, the predicted host CPU frequency is analyzed to obtain more timely optimal host power supply voltage, and the CPU frequency change corresponding to the running of the electronic contest host has certain regularity in time sequence, so that the embodiment of the invention obtains the host CPU frequency at all the predicted moments according to the time sequence change rule of the host CPU frequency at all the historical moments.
Preferably, the method for acquiring the host CPU frequency at the predicted time includes:
the host CPU frequencies at all the historical moments are arranged in time sequence, and a host CPU frequency sequence corresponding to a preset historical time period is obtained; and predicting according to the host CPU frequency sequence corresponding to the preset historical time period by a moving average method to obtain the host CPU frequency of each prediction moment in the preset prediction time period. The purpose of obtaining the host CPU frequency sequence is to enable the arrangement of the host CPU frequencies to accord with the time law, so that the prediction result obtained by the moving average method accords with the time sequence change law of the CPU frequencies. In the embodiment of the invention, since the prediction time period includes 10 prediction moments, 10 host CPU frequencies are predicted by a moving average method. It should be noted that, the moving average method is well known in the art, and is not further limited and described herein.
Considering that each host power supply voltage can correspond to a highest host CPU frequency, that is, each host CPU frequency can correspond to a lowest host power supply voltage, for the host CPU frequency, power resource waste is caused by the lowest host power supply voltage higher than the corresponding host power supply voltage, so that in order to improve the utilization rate of the host power supply voltage as much as possible, according to the change relation between the host CPU frequency and the host power supply voltage, the embodiment of the invention obtains the energy efficiency ratio parameter of the host CPU frequency at each prediction moment under each host power supply voltage, and the larger the corresponding energy efficiency ratio parameter is, the less power resource waste is caused by the host CPU frequency under the corresponding host power supply voltage.
Preferably, the method for acquiring the energy efficiency ratio parameter comprises the following steps:
obtaining the highest host CPU frequency corresponding to each host power supply voltage according to the change relation between the host CPU frequency and the host power supply voltage in the historical prior data; taking the host power supply voltage with each host CPU frequency as the highest host CPU frequency as the lowest host power supply voltage corresponding to each host CPU frequency; optionally selecting a host power supply voltage as a target host power supply voltage; optionally, the host CPU frequency at a predicted time is used as the target host CPU frequency.
Preferably, it is considered that as the host power supply voltage increases, the corresponding highest host CPU frequency increases, but an increase in host power supply voltage also increases the CPU temperature, which limits the increase in highest host CPU frequency. Thus, as a whole, as the host power supply voltage increases, the corresponding highest host CPU frequency increases, but the magnitude of the increase becomes smaller. Therefore, the relationship between the host power supply voltage and the highest host CPU frequency can be expressed by a logarithmic formula, and the corresponding logarithmic formula is:
；
wherein ,is->The highest host CPU frequency corresponding to the power supply voltage of the host, < > is>Is->Host power supply voltage, ">As a logarithmic function based on a natural constant e, < ->Is a preset relationship parameter. Considering that the host power supply voltage has an upper voltage limit and the host CPU frequency at the highest host power supply voltage also has a corresponding upper limit under the specific implementation environment, the preset relation parameter +.>Is a value of (a). In the embodiment of the invention, the rated voltage is set to 220V, and a certain fluctuation range of the voltage is considered, and the fluctuation range of the voltage can reach +. >Therefore, in the embodiment of the invention, the upper limit of the host power supply voltage is 242V, and the upper limit of the frequency of the CPU of the electronic contest host acquired by the embodiment of the invention is 4.5GHz, and the lower limit is 1.5GHz. Therefore, the upper limit 242V of the host power supply voltage is used as the host power supply voltage, the upper limit 4.5GHz of the electronic contest host CPU frequency is used as the highest host CPU frequency, and the corresponding preset relation parameter is obtained by being brought into the corresponding logarithmic formula representing the relation between the host power supply voltage and the highest host CPU frequency0.83, thus bringing 0.83 into the calculation formula that yields the highest host CPU frequency.
That is, the calculation formula of the highest host CPU frequency includes:
；
wherein ,is->The highest host CPU frequency corresponding to the power supply voltage of the host, < > is>Is->Host power supply voltage, ">Is a logarithmic function based on a natural constant e.
Taking the highest host CPU frequency corresponding to the target host power supply voltage as an ideal host CPU frequency; when the target host power supply voltage is smaller than the lowest host power supply voltage corresponding to the target host CPU frequency, setting the energy efficiency ratio parameter of the target host CPU frequency under the target host power supply voltage as a preset energy efficiency parameter. In the embodiment of the present invention, the preset energy efficiency parameter is set to 0. When the power supply voltage of the target host is smaller than the minimum voltage, the minimum voltage required by the CPU frequency of the target host cannot be reached, so that the phenomenon that the corresponding voltage cannot maintain the normal operation of the CPU is generated, the use condition of the electronic contest host is not met, and the corresponding energy efficiency ratio parameter is set to 0.
When the target host power supply voltage is greater than or equal to the lowest host power supply voltage corresponding to the target host CPU frequency, the energy efficiency ratio parameter of the target host CPU frequency under the target host power supply voltage is obtained according to the target host CPU frequency and the ideal host CPU frequency, the target host CPU frequency is in direct proportion to the energy efficiency ratio parameter, and the ideal host CPU frequency is in inverse proportion to the energy efficiency ratio parameter. As the CPU can be maintained to normally run as long as the ideal host CPU frequency provided by the target host power supply voltage is equal to the target host CPU frequency, the larger the ideal host CPU frequency is, the lower the energy efficiency ratio parameter of the corresponding target host CPU frequency under the target host power supply voltage is.
Preferably, the method for obtaining the energy efficiency ratio parameter of the target host CPU frequency under the power supply voltage of the target host according to the target host CPU frequency and the ideal host CPU frequency comprises the following steps:
and taking the ratio between the target host CPU frequency and the ideal host CPU frequency as an energy efficiency ratio parameter of the target host CPU frequency under the power supply voltage of the target host. That is, when the highest host CPU frequency provided by the target host CPU power supply voltage is greater than or equal to the highest host CPU frequency for normal operation, the higher the corresponding highest host CPU frequency is, the lower the corresponding voltage utilization is, that is, the smaller the corresponding energy efficiency ratio parameter is, and the energy efficiency ratio parameter reaches the maximum when the target host CPU frequency is equal to the highest host CPU frequency corresponding to the target host CPU power supply voltage.
In the embodiment of the invention, when the power supply voltage of the target host is greater than or equal to the lowest host power supply voltage corresponding to the target host CPU frequency, the method for acquiring the energy efficiency ratio parameter of the target host CPU frequency under the target host power supply voltage is expressed as follows in the formula:
；
wherein ,for the energy efficiency ratio parameter of the CPU frequency of the target host under the power supply voltage of the target host, +.>For the target host CPU frequency, +.>The highest host CPU frequency corresponding to the target host power supply voltage. It should be noted that, because the electronic bidding host computer is in the running process, the corresponding host computer CPU frequency usually has a certain lower limit. In the embodiment of the invention, the lower limit of the host CPU frequency of the electronic contest host is 1.5GHz, namely the lower limit of the target host CPU frequency is 1.5GHz, and the target host power supply voltage is greater than or equal to the lowest host power supply voltage corresponding to the target host CPU frequency, so that the highest host CPU frequency corresponding to the target host power supply voltage is greater than or equal to 1.5GHz, namely the corresponding denominator cannot be 0, namely the formulaNo meaningless situation will occur.
Step S3: obtaining stability coefficients of the host CPU frequency at each predicted moment under each host power supply voltage according to the numerical distribution condition of the host CPU frequency at all moments and the influence degree of the corresponding time sequence variation fluctuation condition on each host power supply voltage; and obtaining the voltage priority parameters of the power supply voltage of each host to the host CPU frequency at each prediction moment according to the energy efficiency ratio parameters and the stability coefficients.
So far, the energy efficiency ratio parameter of the host CPU frequency at each prediction moment under the power supply voltage of each host is obtained. However, considering that the performance requirement of the user when using the electronic contest host is continuously changed, only the energy efficiency ratio is considered to provide low voltage for the CPU, which may cause the CPU to operate and be blocked. Because if the electronic bidding host keeps the lowest voltage capable of running all the time in the using process, the computing capacity of the CPU is affected, and the experience of a user is affected.
Considering that when the performance requirement of the user on the electronic contest host is not high, the highest host CPU frequency provided by the host power supply voltage is only satisfied, and the operation of the host can be maintained. And when the CPU frequency is higher and the fluctuation range of the frequency variation is larger, the performance requirement of the user on the electronic bidding host is higher. The higher the host CPU frequency is, the higher the calculation power provided by the CPU at the current moment is, and certain performance release is needed, so that the higher the performance requirement on the electronic contest host is, namely the higher the host power supply voltage is needed to be provided to maintain the stable operation of the CPU; the larger the fluctuation range of the frequency variation of the CPU of the host computer is, the more complex the use state of the user is, so that the higher the host computer power supply voltage is needed to maintain the calculation power and the running stability of the CPU. On the contrary, when the CPU frequency is lower and the fluctuation range of the frequency variation is smaller, the performance requirement of the user on the electronic competition host is lower, the use state of the user is stable, and the required host power supply voltage is relatively smaller. Namely, when the CPU frequency of the host is higher and the fluctuation amplitude of the corresponding frequency change is larger, the performance and stability of the electronic contest host required by the corresponding user are higher. Therefore, the embodiment of the invention obtains the stability coefficient of the host CPU frequency at each predicted moment under each host power supply voltage according to the numerical distribution condition of the host CPU frequency at all moments and the influence degree of the corresponding time sequence variation fluctuation condition on each host power supply voltage.
The method for acquiring the stability coefficient comprises the following steps:
arranging the host CPU frequencies corresponding to all the historical moments and all the predicted moments in time sequence to obtain a host CPU frequency time sequence; and obtaining the fluctuation degree of the host CPU frequency corresponding to all the historical moments and all the predicted moments according to the difference distribution condition between each host CPU frequency and the adjacent host CPU frequency in the host CPU frequency time sequence. The purpose of arranging the host CPU frequencies in time sequence to obtain the host CPU frequency time sequence is to make the observation of the variation fluctuation condition of the host CPU frequency clearer.
The method for acquiring the frequency fluctuation degree of the CPU of the host comprises the following steps:
in the host CPU frequency time sequence, doubling the difference of the host CPU frequency between the last predicted time and the previous predicted time is used as the fluctuation degree of the host CPU frequency corresponding to the last predicted time; and taking twice of the difference of the host CPU frequency between the first historical moment and the later historical moment as the fluctuation degree of the host CPU frequency corresponding to the first historical moment. For the host CPU frequency time sequence, only one adjacent element exists between the last prediction time, namely the last element, and the first historical time, namely the first element, so that the whole calculation is more complete and reasonable, and the degree of fluctuation of the host CPU frequency corresponding to the last prediction time and the first historical time is calculated independently.
Optionally selecting a time except the last predicted time and the first historical time as a target time; in the host CPU frequency time sequence, taking the difference of the host CPU frequency between the target time and the previous time as a first difference; taking the difference of the host CPU frequency between the target time and the later time as a second difference; and taking the sum value of the first difference and the second difference as the frequency fluctuation degree of the host CPU corresponding to the target time. The amplitude of the change of the frequency of the host CPU between each moment and the adjacent moment is used as the fluctuation degree of the frequency of the host CPU corresponding to each moment, so that the change condition of the frequency of the host CPU corresponding to each moment is more intuitively obtained.
Taking the accumulated sum of the frequency fluctuation degrees of the host CPU at all the prediction moments as a reference accumulated value; obtaining a host stability characteristic value corresponding to each prediction time according to the host CPU frequency fluctuation degree corresponding to each prediction time and the reference accumulated value; the fluctuation degree of the CPU frequency of the host is positively correlated with the host stability characteristic value, and the reference accumulated value is negatively correlated with the host stability characteristic value. In the embodiment of the invention, the sum value of the reference accumulated value and the preset first adjusting parameter is calculated, and the ratio between the frequency fluctuation degree of the host CPU at each prediction time and the sum value is used as the host stability characteristic value at the corresponding prediction time. The larger the corresponding host computer stability characteristic value, the larger the corresponding host computer CPU frequency fluctuation degree of the prediction moment is, the more complex the corresponding user uses the use state of the electronic contest host computer, namely, the higher host computer power supply voltage is needed to maintain the calculation power and the running stability of the CPU.
Normalizing the host CPU frequency corresponding to each prediction time to obtain the host CPU frequency weight corresponding to each prediction time. The host CPU frequency weight, that is, the normalized value of the host CPU frequency corresponding to each prediction time, indicates that the larger the corresponding host CPU frequency weight is, the higher the calculation power provided by the CPU at the corresponding prediction time is, and the higher the host power supply voltage is needed to maintain certain performance release, so as to maintain the stability of the CPU operation. In the embodiment of the invention, the method for normalizing the host CPU frequency adopts maximization, namely, the ratio of the host CPU frequency corresponding to each prediction time to the maximum value of the host CPU frequency at all times is used as the host CPU frequency weight corresponding to each prediction time.
Because the larger the host CPU frequency weight is, the larger the host stability characteristic value is, the larger the corresponding prediction time is required for the stability of CPU operation, namely the larger the host power supply voltage required by the host CPU frequency at the corresponding prediction time is. And obtaining a host stability weight corresponding to the host CPU frequency at each prediction moment according to the host stability characteristic value and the host CPU frequency weight, wherein the host stability characteristic value and the host CPU frequency weight are positively correlated with the host stability weight. The larger the stability factor, the larger the host power supply voltage required at the corresponding predicted time is indicated.
Preferably, the method for obtaining the host stability weight corresponding to the host CPU frequency at each predicted time according to the host stability characteristic value and the host CPU frequency weight includes: and taking the normalized value of the product of the host stability characteristic value and the host CPU frequency weight as the host stability weight corresponding to the host CPU frequency at each prediction moment.
Optionally selecting a host power supply voltage as a reference host power supply voltage; taking the product between the lowest host power supply voltage of the host CPU frequency corresponding to each prediction time and the host stability weight as a first product; and obtaining a stability coefficient of the host CPU frequency at each prediction moment under the reference host power supply voltage according to the reference host power supply voltage and the first product, wherein the stability coefficient is positively correlated with the reference host power supply voltage, and the stability coefficient is negatively correlated with the first product.
Because the host stability weight corresponding to the host CPU frequency at each prediction time, and the larger the host stability weight, the larger the host power supply voltage corresponding to the host CPU frequency is needed to maintain the performance release and stability, the embodiment of the invention combines the reference host power supply voltage and the host stability weight while calculating the stability coefficient. Because the greater the host stability weight, the greater the reference host supply voltage is required for the electronic contest host to maintain performance release and stability, so in order to make the performance provided by the host supply voltage sufficient, i.e., in order to make the stability coefficient greater, the greater the reference host supply voltage is required to ensure electronic contest host performance and stability, i.e., the stability coefficient is positively correlated with the reference host supply voltage, and the stability coefficient is negatively correlated with the first product.
In the practice of the inventionIn the example, the firstThe predicted time is taken as any predicted time in all predicted times, and the +.>The method for obtaining the stability coefficient of the host CPU frequency at each prediction moment under the reference host power supply voltage is expressed as the following formula:
；
wherein ,is->Stability factor of host CPU frequency at reference host supply voltage at each predicted instant, +.>Is the reference host power supply voltage; />To +.>The host CPU frequency at the predicted time is the host power supply voltage corresponding to the highest CPU frequency, namely +.>The lowest host power supply voltage corresponding to each prediction moment; />Is->CPU frequency fluctuation degrees corresponding to the prediction moments; />Is mainly based onThe number of elements in the machine CPU frequency timing sequence, i.e. the sum of the number of historic moments and predicted moments, in the embodiment of the invention +.>The value of (2) is 3610, namely the sum of 3600 historical moments and 10 predicted moments; />Is->CPU frequency fluctuation degree corresponding to each predicted time, < ->Is->Host CPU frequency corresponding to each predicted time, < +.>The maximum value of the host CPU frequency in the host CPU frequency time sequence; />In order to preset the first adjustment parameter,in order to preset the second adjustment parameter, the preset first adjustment parameter and the preset second adjustment parameter are both used for preventing the denominator from being 0. / >Is->Host stability characteristic values corresponding to host CPU frequencies at each prediction moment; />Is the first/>Host stability weight corresponding to the predicted time, i.e. +.>Normalized value of host CPU frequency corresponding to each predicted time, < >>Is a first product; />In the embodiment of the invention, the normalization method adopts linear normalization for normalization functions.
So far, the energy efficiency ratio parameter and the stability coefficient of the corresponding host CPU frequency at each predicted time under the power supply voltage of each host are obtained. The larger the energy efficiency ratio parameter is, the more power is saved for the host power supply voltage under the corresponding prediction; the stability coefficient is a parameter for measuring the host power supply voltage of which the current CPU frequency is divided into larger or smaller, and is used for influencing the host power supply voltage value weight of the host CPU frequency at each prediction moment, and the larger the stability coefficient is, the more stable the host power supply voltage at the corresponding prediction moment is. Further, the priority of the power supply voltage of each host to the CPU frequency at each predicted time can be evaluated through the stability degree and the energy efficiency ratio parameter.
Preferably, the method for acquiring the voltage priority parameter includes:
and taking the product of the energy efficiency ratio parameter and the stability coefficient as a voltage priority parameter of each host power supply voltage to the host CPU frequency at each prediction moment. Because the larger the energy efficiency ratio parameter is, the more power is saved when the corresponding host power voltage acts on the host, and the larger the stability coefficient is, the more stable the corresponding host power voltage acts on the host. The energy efficiency ratio parameter and the stability factor are both positively correlated with the voltage priority parameter.
In the embodiment of the invention, one predicted time is selected as the first timeA predicted time, optionally a host supply voltage as +.>The power supply voltage of the host computer is->Host power supply voltage pair->The method for obtaining the voltage priority parameters of the host CPU frequency at each prediction time is expressed as the following formula:
；
wherein ,is->Host power supply voltage pair->Voltage priority parameter of host CPU frequency at each predicted time,/->Is->The host CPU frequency at the predicted instant is at +.>Energy efficiency ratio parameter at power supply voltage of host computer, < >>Is->The host CPU frequency at the predicted instant is at +.>Stability factor at the individual host power supply voltage.
Step S4: and obtaining the optimal host power supply voltage of the electronic bidding host at the current moment according to the distribution condition of all the voltage priority parameters corresponding to the power supply voltages of the hosts.
The voltage priority parameter of each host power supply voltage to the host CPU frequency at each prediction time is obtained, and the optimal voltage corresponding to each prediction time can be further obtained according to the voltage priority parameter, but the CPU temperature is influenced by frequent adjustment of the host power supply voltage, so that the service life of the CPU is influenced.
Preferably, the method for obtaining the optimal host power supply voltage includes:
taking the average value of all the voltage priority parameters corresponding to each host power supply voltage as a host voltage priority evaluation value corresponding to each host power supply voltage; and taking the host power supply voltage with the highest host voltage priority evaluation value as the optimal host power supply voltage. By the method of solving the average value of the voltage priority parameters of all the prediction moments corresponding to each host power supply voltage, the obtained voltage priority evaluation value can represent the overall priority of each host power supply voltage in the whole preset prediction time period, so that the optimal host power supply voltage at the current moment, namely the optimal host power supply voltage corresponding to the current preset prediction time period, is further obtained.
In summary, the invention analyzes the host CPU frequency of the electronic contest host in the preset historical time period, and obtains the energy efficiency ratio parameter according to the change relation between the host CPU frequency and the host power supply voltage; obtaining a stability coefficient according to the numerical value of the CPU frequency of the host and the time sequence variation fluctuation condition; and evaluating the voltage priority parameters of the host power supply voltage to the host CPU frequency at each predicted moment by combining the energy efficiency ratio parameter and the stability coefficient, and screening out the optimal host power supply voltage to be adjusted at the current moment according to the distribution condition of the voltage priority parameters. The method for adjusting the power supply voltage of the electronic contest host through the obtained optimal power supply voltage of the host is higher in accuracy.
It should be noted that: the sequence of the embodiments of the present invention is only for description, and does not represent the advantages and disadvantages of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments.

Claims (10)

1. The method for adjusting the power supply voltage of the electronic bidding host machine based on data analysis is characterized by comprising the following steps:
acquiring the host CPU frequency of each moment in a preset historical time period before the current moment of the electronic contest host;
taking all the moments in a preset historical time period as historical moments, and taking all the moments in a preset prediction time period after the preset historical time period as prediction moments; obtaining the host CPU frequencies at all the predicted moments according to the time sequence change rules of the host CPU frequencies at all the historical moments; according to the change relation between the host CPU frequency and the host power supply voltage, obtaining the energy efficiency ratio parameter of the host CPU frequency at each predicted moment under each host power supply voltage;
obtaining stability coefficients of the host CPU frequency at each predicted moment under each host power supply voltage according to the numerical distribution condition of the host CPU frequency at all moments and the influence degree of the corresponding time sequence variation fluctuation condition on each host power supply voltage; according to the energy efficiency ratio parameter and the stability coefficient, obtaining a voltage priority parameter of each host power supply voltage to the host CPU frequency at each prediction moment;
and obtaining the optimal host power supply voltage of the electronic bidding host at the current moment according to the distribution condition of all the voltage priority parameters corresponding to the power supply voltages of the hosts.
2. The method for adjusting the power supply voltage of the electronic contest host based on data analysis according to claim 1, wherein the method for acquiring the energy efficiency ratio parameter comprises the following steps:
obtaining the highest host CPU frequency corresponding to each host power supply voltage according to the change relation between the host CPU frequency and the host power supply voltage in the historical prior data; taking the host power supply voltage with each host CPU frequency as the highest host CPU frequency as the lowest host power supply voltage corresponding to each host CPU frequency;
optionally selecting a host power supply voltage as a target host power supply voltage; optionally selecting a host CPU frequency at a predicted time as a target host CPU frequency; taking the highest host CPU frequency corresponding to the target host power supply voltage as an ideal host CPU frequency;
when the target host power supply voltage is smaller than the lowest host power supply voltage corresponding to the target host CPU frequency, setting the energy efficiency ratio parameter of the target host CPU frequency under the target host power supply voltage as a preset energy efficiency parameter;
when the target host power supply voltage is greater than or equal to the lowest host power supply voltage corresponding to the target host CPU frequency, the energy efficiency ratio parameter of the target host CPU frequency under the target host power supply voltage is obtained according to the target host CPU frequency and the ideal host CPU frequency, the target host CPU frequency is in direct proportion to the energy efficiency ratio parameter, and the ideal host CPU frequency is in inverse proportion to the energy efficiency ratio parameter.
3. The method for adjusting the power supply voltage of the electronic contest host based on data analysis according to claim 2, wherein the method for acquiring the stability coefficient comprises the following steps:
arranging the host CPU frequencies corresponding to all the historical moments and all the predicted moments in time sequence to obtain a host CPU frequency time sequence; obtaining the fluctuation degree of the host CPU frequency corresponding to all historical moments and all predicted moments according to the difference distribution condition between each host CPU frequency and the adjacent host CPU frequency in the host CPU frequency time sequence;
taking the accumulated sum of the frequency fluctuation degrees of the host CPU at all the prediction moments as a reference accumulated value; obtaining a host stability characteristic value corresponding to each prediction time according to the host CPU frequency fluctuation degree corresponding to each prediction time and the reference accumulated value; the fluctuation degree of the CPU frequency of the host is positively correlated with the host stability characteristic value, and the reference accumulated value is negatively correlated with the host stability characteristic value;
normalizing the frequency of the host CPU corresponding to each prediction time to obtain the frequency weight of the host CPU corresponding to each prediction time; obtaining a host stability weight corresponding to the host CPU frequency at each prediction moment according to the host stability characteristic value and the host CPU frequency weight, wherein the host stability characteristic value and the host CPU frequency weight are positively correlated with the host stability weight;
Optionally selecting a host power supply voltage as a reference host power supply voltage; taking the product between the lowest host power supply voltage of the host CPU frequency corresponding to each prediction time and the host stability weight as a first product; and obtaining a stability coefficient of the host CPU frequency at each prediction moment under the reference host power supply voltage according to the reference host power supply voltage and the first product, wherein the stability coefficient is positively correlated with the reference host power supply voltage, and the stability coefficient is negatively correlated with the first product.
4. The method for adjusting the power supply voltage of the electronic contest host based on data analysis according to claim 1, wherein the method for acquiring the optimal power supply voltage of the host comprises the following steps:
taking the average value of all the voltage priority parameters corresponding to each host power supply voltage as a host voltage priority evaluation value corresponding to each host power supply voltage; and taking the host power supply voltage with the highest host voltage priority evaluation value as the optimal host power supply voltage.
5. The method for adjusting power supply voltage of electronic contest host based on data analysis according to claim 3, wherein the method for obtaining the host stability weight corresponding to the host CPU frequency at each predicted time according to the host stability feature value and the host CPU frequency weight comprises:
And taking the normalized value of the product of the host stability characteristic value and the host CPU frequency weight as the host stability weight corresponding to the host CPU frequency at each prediction moment.
6. The method for adjusting the power supply voltage of the electronic contest host based on data analysis according to claim 2, wherein the method for obtaining the energy efficiency ratio parameter of the target host CPU frequency under the power supply voltage of the target host CPU according to the target host CPU frequency and the ideal host CPU frequency comprises the following steps:
and taking the ratio between the target host CPU frequency and the ideal host CPU frequency as an energy efficiency ratio parameter of the target host CPU frequency under the target host power supply voltage.
7. The method for adjusting the power supply voltage of the electronic contest host based on data analysis according to claim 1, wherein the method for acquiring the voltage priority parameter comprises the following steps:
and taking the product of the energy efficiency ratio parameter and the stability coefficient as a voltage priority parameter of each host power supply voltage to the host CPU frequency at each prediction moment.
8. The method for adjusting power supply voltage of electronic contest host based on data analysis according to claim 3, wherein the method for obtaining the frequency fluctuation degree of the host CPU comprises the following steps:
In the host CPU frequency time sequence, doubling the difference of the host CPU frequency between the last predicted time and the previous predicted time is used as the fluctuation degree of the host CPU frequency corresponding to the last predicted time; taking twice of the difference of the host CPU frequency between the first historical moment and the later historical moment as the fluctuation degree of the host CPU frequency corresponding to the first historical moment;
optionally selecting a time except the last predicted time and the first historical time as a target time; in the host CPU frequency time sequence, taking the difference of the host CPU frequency between the target time and the previous time as a first difference; taking the difference of the host CPU frequency between the target time and the later time as a second difference; and taking the sum value of the first difference and the second difference as the frequency fluctuation degree of the host CPU corresponding to the target time.
9. The method for adjusting power supply voltage of electronic contest host based on data analysis according to claim 2, wherein the calculation formula of the highest host CPU frequency comprises:
；
wherein ,is->The highest host CPU frequency corresponding to the power supply voltage of the host, < > is>Is->The power supply voltage of the individual hosts, Is a logarithmic function based on a natural constant e.
10. The method for adjusting power supply voltage of electronic contest host based on data analysis according to claim 1, wherein the method for obtaining the host CPU frequency at the predicted time comprises:
the host CPU frequencies at all the historical moments are arranged in time sequence, and a host CPU frequency sequence corresponding to a preset historical time period is obtained; and predicting according to the host CPU frequency sequence corresponding to the preset historical time period by a moving average method to obtain the host CPU frequency of each prediction moment in the preset prediction time period.
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