Efficient PC power management system and method based on intelligent data monitoring

Abstract

The invention discloses an efficient PC power management system and method based on intelligent data monitoring, and relates to the technical field of electric digital data processing. The method comprises the following steps: firstly, monitoring the operation and hardware state of a PC power supply and hardware state data through a data monitoring module, deeply analyzing the collected PC power supply operation data, determining the monitoring acquisition frequency of the power supply hardware state data, and carrying out detailed monitoring analysis on the hardware state data of a PC end based on the frequency, so as to obtain a state characterization value of the PC power supply. And finally, performing optimization management on the PC power supply according to the PC power supply state characterization value, thereby remarkably improving the response speed and accuracy of power supply management, effectively improving the energy use efficiency of the PC power supply, ensuring stable operation of a PC system, reducing unnecessary energy consumption and improving the overall performance.

Description

Technical Field

[0001] The present invention relates to the technical field of electrical digital data processing, and in particular to a highly efficient PC power management system and method based on intelligent data monitoring. Background Art

[0002] The background technology of PC power management system involves optimizing power supply and distribution to improve energy efficiency, using hardware monitoring technology to track power consumption and system status in real time, identifying usage patterns and potential problems through data collection and analysis, and performing intelligent regulation based on the analysis results to automatically adjust power settings and energy-saving strategies.

[0003] The prior art, such as the invention patent with announcement number CN102339119B, announces a power supply intelligent monitoring device, including a PC and a controller, the device also includes a UPS power supply, a transformer, a USB interface and a trigger circuit, the PC is connected to an external power supply through a UPS power supply, the controller is connected to an external power supply through a transformer, and the controller is connected to the PC through a USB interface and a trigger circuit respectively. The PC and the controller are connected through a USB interface, and the current power supply status can be automatically detected by using the communication status between the software end of the PC and the controller, and then communicate with the monitoring software on the server, so that the server power supply can be automatically shut down when the power is suddenly cut off, avoiding the manual shutdown operation after the power is cut off, and realizing the intelligent monitoring and adjustment of the power supply; at the same time, the operation status of the PC can be confirmed by using the USB interface, and the controller controls the PC to automatically start or restart through the trigger circuit, realizing the intelligent management of the PC power supply.

[0004] Prior art, such as the invention patent with announcement number CN102200821B, announces a computer and a method for power management thereof, wherein the computer includes: a first power supply for outputting a first voltage; a second power supply for outputting a second voltage; a first power consumption module, a second power consumption module and a power control module, wherein the power control module is respectively connected to the first power supply, the second power supply, the first power consumption module and the second power consumption module, and is used to select a power supply with a lower voltage from the first power supply and the second power supply to power the first power consumption module and / or the second power consumption module.

[0005] Based on the above findings, the current PC power management has problems with single data and inaccurate power management, which may lead to unnecessary energy consumption or shortened power life, reduce the service life of the PC power supply, and may increase the hardware failure of the PC end corresponding to the PC power supply. Summary of the invention

[0006] In view of the deficiencies in the prior art, the present invention provides an efficient PC power management system and method based on intelligent data monitoring, which solves the problems designed in the above-mentioned background technology.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: an efficient PC power management system and method based on intelligent data monitoring, including a data monitoring module, which is used to monitor the status data of the PC power supply within each preset supervision cycle, and the status data of the PC power supply includes operation data and hardware status data.

[0008] The data analysis module is used to analyze the PC power supply operation data in each supervision cycle to obtain the monitoring and collection frequency of the hardware status data of the PC power supply in each supervision cycle. Based on the monitoring and collection frequency of the hardware status data of the PC power supply in each supervision cycle, the PC end corresponding to the PC power supply is monitored and analyzed synchronously in each supervision cycle to obtain the status characterization value of the PC power supply in each supervision cycle.

[0009] The intelligent control module is used to obtain the management data of the PC power supply in each supervision cycle according to the state characterization value of the PC power supply in each supervision cycle, thereby managing the PC power supply.

[0010] Furthermore, the status data of the PC power supply is monitored, and the specific analysis is as follows: the PC power supply operation data is monitored and collected in each supervision cycle to obtain the PC power supply operation data in each supervision cycle, wherein the PC power supply operation data in each supervision cycle includes the average temperature of the PC power supply in each supervision cycle, the average output voltage of the PC power supply, and the average output current of the PC power supply.

[0011] Furthermore, the PC power supply operation data is analyzed in each supervision cycle. Specifically, the average output voltage and the average output current of the PC power supply in each supervision cycle are extracted to obtain the average output power of the PC power supply, and the average output power and the average temperature of the PC power supply in adjacent supervision cycles are subjected to difference processing to obtain the average output power change value of the PC power supply in each supervision cycle and the average temperature change value of the PC power supply in each supervision cycle, and the operation stability evaluation value of the PC power supply in each supervision cycle is obtained by processing. The operation stability evaluation value of the PC power supply in each supervision cycle is used to quantitatively evaluate the operation stability of the PC power supply.

[0012] Furthermore, the monitoring and collection frequency of the hardware status data of the PC power supply in each supervision cycle is obtained. The specific analysis is as follows: the operation stability evaluation value of the PC power supply in each supervision cycle is extracted and matched with the monitoring and collection frequency of the hardware status data of the PC power supply corresponding to the operation stability evaluation value interval of each PC power supply in the database to obtain the monitoring and collection frequency of the hardware status data of the PC power supply in each supervision cycle; according to the monitoring and collection frequency of the hardware status data of the PC power supply in each supervision cycle, the hardware status data of the PC power supply is monitored and collected.

[0013] Furthermore, the PC end corresponding to the PC power supply is monitored and analyzed. Specifically, the PC end corresponding to the PC power supply is monitored according to the monitoring and collection frequency of the hardware status data of the PC power supply in each regulatory cycle, and the average CPU operating frequency, the average GPU operating frequency and the average hard disk data transfer rate of the PC end corresponding to the PC power supply in each regulatory cycle are obtained, and the hardware resource usage evaluation value of the PC end corresponding to the PC power supply in each regulatory cycle is obtained by processing. The hardware resource usage evaluation value of the PC end corresponding to the PC power supply in each regulatory cycle is used to quantitatively evaluate the operating status of the hardware of the PC end corresponding to the PC power supply in each regulatory cycle.

[0014] Furthermore, the PC power supply corresponds to the PC-side hardware resource usage evaluation value in each supervision cycle, and the specific analysis conditions are: ; In the formula, It represents the estimated value of the hardware resource usage of the PC side corresponding to the PC power supply in the i-th supervision cycle. It represents the average CPU operating frequency of the PC side corresponding to the PC power supply in the i-th supervision cycle. It represents the average operating frequency of the GPU on the PC side corresponding to the PC power supply in the i-th supervision cycle, It represents the average data transfer rate of the hard disk on the PC side corresponding to the PC power supply in the i-th supervision cycle, Indicates the reference value of the average CPU operating frequency of the PC. Indicates the reference value of the average operating frequency of the GPU on the PC. Indicates the reference value of the average data transfer rate of the hard disk on the PC side. Indicates the influence factor of the set PC power supply on the average CPU operating frequency of the PC. Indicates the influence factor of the average operating frequency of the GPU on the PC side corresponding to the set PC power supply. Indicates the influence factor of the average data transfer rate of the hard disk on the PC side corresponding to the set PC power supply. , n represents the total number of supervision cycles.

[0015] Furthermore, a state characterization value of the PC power supply is obtained. Specifically, the analysis is as follows: the operation stability evaluation value of the PC power supply in each supervision cycle and the hardware resource usage evaluation value of the PC end corresponding to the PC power supply in each supervision cycle are extracted, and the state characterization value of the PC power supply is obtained after processing. The state characterization value of the PC power supply is used to evaluate the operation quality of the PC power supply.

[0016] Furthermore, the state characterization value of the PC power supply in each supervision cycle, the specific analysis conditions are: ; In the formula, The state characterization value of the PC power supply in the i-th supervision cycle, It indicates the operation stability evaluation value of the PC power supply in each supervision cycle. Indicates the estimated value of the hardware resource usage of the PC power supply corresponding to the PC side in each supervision cycle. Indicates the weight factor corresponding to the set PC power supply operation stability evaluation value, Indicates the weight factor corresponding to the hardware resource usage evaluation value of the PC side corresponding to the set PC power supply. , n represents the total number of supervision cycles.

[0017] Furthermore, the management data of the PC power supply is obtained, and the PC power supply is managed accordingly. The specific analysis is as follows: the state characterization value of the PC power supply in each supervision cycle is extracted, and the PC power supply is managed through the power management software according to the state characterization value of the PC power supply in each supervision cycle.

[0018] Furthermore, the status data of the PC power supply is monitored within each preset supervision cycle, and the status data of the PC power supply includes operation data and hardware status data.

[0019] The PC power supply operation data is analyzed in each supervision cycle to obtain the monitoring and collection frequency of the hardware status data of the PC power supply in each supervision cycle. Based on the monitoring and collection frequency of the hardware status data of the PC power supply in each supervision cycle, the PC end corresponding to the PC power supply is monitored and analyzed synchronously in each supervision cycle to obtain the state characterization value of the PC power supply in each supervision cycle.

[0020] According to the state characterization value of the PC power supply in each supervision cycle, the management data of the PC power supply in each supervision cycle is obtained, thereby managing the PC power supply.

[0021] The present invention has the following beneficial effects: (1) The present invention discloses an efficient PC power management system and method based on intelligent data monitoring. First, the operation and hardware status of the PC power supply and the hardware status data are monitored through a data monitoring module, and the collected PC power supply operation data is deeply analyzed to determine the monitoring and acquisition frequency of the power supply hardware status data. Based on the frequency, the hardware status data of the PC end is monitored and analyzed in detail, thereby obtaining the state characterization value of the PC power supply. Finally, according to the PC power supply state characterization value, the PC power supply is optimized and managed, which can significantly improve the response speed and accuracy of power management, effectively improve the energy efficiency of the PC power supply, ensure the stable operation of the PC system, reduce unnecessary energy consumption, and improve overall performance.

[0022] (2) The present invention calculates the average output power and evaluates the operating stability of the power supply by monitoring and collecting the operating data of the PC power supply in each supervision cycle. The system extracts these data, and the operating stability evaluation value obtained after processing is used to quantify the stability of the PC power supply, thereby effectively monitoring and optimizing the performance of the PC power supply and realizing accurate power supply management and monitoring.

[0023] (3) The present invention determines the collection frequency of the power supply hardware status data by statistically matching the running stability evaluation value of the PC power supply in each supervision cycle with the corresponding monitoring collection frequency in the database. The hardware status data of the power supply is monitored according to this frequency, and the PC end is monitored to obtain the average operating frequency of the CPU and GPU and the average data transfer rate of the hard disk, and then the hardware resource usage evaluation value is calculated for quantitative evaluation of the running status of the PC end, ensuring the accurate collection of hardware status data.

[0024] (4) The present invention calculates the state characterization value of the PC power supply by extracting and processing the operation stability evaluation value of the PC power supply and the PC hardware resource usage evaluation value in each supervision cycle, which is used to evaluate the operation quality of the power supply. Based on these state characterization values, the power supply state is accurately calculated and monitored, and the power management software is used to perform effective power management, effectively evaluate and improve the operation quality of the PC power supply, and reduce energy consumption.

[0025] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 It is a schematic diagram of the system flow of the present invention.

[0027] Figure 2 It is the hardware resource usage evaluation value curve of the PC power supply corresponding to the PC end of the present invention.

[0028] Figure 3 It is a schematic diagram of the process of the present invention. DETAILED DESCRIPTION

[0029] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0030] In the description of the present invention, it should be understood that the terms "opening", "upper", "lower", "thickness", "top", "middle", "length", "inside", "all around" and the like indicating orientation or positional relationship are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the components or elements referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as limiting the present invention.

[0031] See also Figure 1 The embodiment of the present invention provides a technical solution: an efficient PC power management system and method based on intelligent data monitoring, including a data monitoring module for monitoring the status data of the PC power supply within each preset supervision cycle, wherein the status data of the PC power supply includes operation data and hardware status data.

[0032] The data analysis module is used to analyze the PC power supply operation data in each supervision cycle to obtain the monitoring and collection frequency of the hardware status data of the PC power supply in each supervision cycle. Based on the monitoring and collection frequency of the hardware status data of the PC power supply in each supervision cycle, the PC end corresponding to the PC power supply is monitored and analyzed synchronously in each supervision cycle to obtain the status characterization value of the PC power supply in each supervision cycle.

[0033] The intelligent control module is used to obtain the management data of the PC power supply in each supervision cycle according to the state characterization value of the PC power supply in each supervision cycle, thereby managing the PC power supply.

[0034] It should be noted that the collected PC power supply operation data is deeply analyzed to determine the monitoring and collection frequency of the power supply hardware status data. Based on the frequency, the PC hardware status data is monitored and analyzed in detail to obtain the PC power supply status characterization value. According to the PC power supply status characterization value, the PC power supply is optimized and managed to improve the energy efficiency of the PC power supply and ensure the stable operation of the PC system.

[0035] Specifically, the PC power supply operation data is monitored and collected in each supervision cycle to obtain the PC power supply operation data in each supervision cycle, wherein the PC power supply operation data in each supervision cycle includes the average temperature of the PC power supply in each supervision cycle, the average output voltage of the PC power supply, and the average output current of the PC power supply.

[0036] It should be noted that PC power supplies are usually equipped with sensors for real-time monitoring of output voltage, current and temperature. The sensors collect data regularly and record it in the system. These sensors usually sample at fixed time intervals. For example, voltage, current and temperature values ​​are collected once per second. The instantaneous voltage, current and temperature collected at different time points during the supervision cycle are accumulated and divided by the duration of the supervision cycle, thereby obtaining the average output voltage, average output current and average temperature of the PC power supply.

[0037] Specifically, the average output voltage and the average output current of the PC power supply in each regulatory cycle are extracted to obtain the average output power of the PC power supply, and the average output power and the average temperature of the PC power supply in adjacent regulatory cycles are subjected to difference processing to obtain the average output power change value of the PC power supply in each regulatory cycle and the average temperature change value of the PC power supply in each regulatory cycle, and the operation stability evaluation value of the PC power supply in each regulatory cycle is obtained by processing. The operation stability evaluation value of the PC power supply in each regulatory cycle is used to quantitatively evaluate the operation stability of the PC power supply.

[0038] It should be noted that the average output power of the PC power supply P=U*I, U represents the average output voltage of the PC power supply, I represents the average output current of the PC power supply, and the average temperature in each supervision cycle is extracted simultaneously to obtain the operation stability evaluation value of the PC power supply, which is used to quantify the operation stability of the power supply.

[0039] It should be noted that the specific analysis conditions for the operational stability evaluation value of the PC power supply in each regulatory cycle are as follows: ; In the formula, represents the operational stability evaluation value of the PC power supply in the i-th supervision cycle, It represents the average output power change of the PC power supply during the i-th supervision cycle. represents the average temperature change of the PC power supply during the i-th supervision cycle, Indicates the average output power reference value of the set PC power supply. Indicates the average temperature reference value of the set PC power supply. Indicates the impact factor corresponding to the average output power of the set PC power supply, It represents the influence factor corresponding to the set average temperature of the PC power supply, and e represents a natural constant.

[0040] It should be noted that the average output power of the PC power supply in this formula is correlated with the average temperature of the PC power supply. As the average output power of the PC power supply increases, the average temperature of the PC power supply will also increase. The output power and temperature are interrelated.

[0041] The influence factor corresponding to the average output power of the PC power supply preset in the database represents the numerical value of the influence degree of the average output power of the PC power supply on the operation stability evaluation value of the PC power supply. When used, the influence factor corresponding to the average output power of the PC power supply can be directly obtained from the database. The corresponding relationship can be a pre-set mapping relationship. For example, the average output power of the PC power supply and the influence factor corresponding to the average output power of the PC power supply preset in the database form a mapping set. The real-time average output power of the PC power supply is input into the mapping set to obtain the influence factor corresponding to the average output power of the PC power supply. The mapping relationship can be a one-to-one correspondence or a many-to-one relationship. In this example, its value range is [0,1].

[0042] The influence factor corresponding to the average temperature of the PC power supply preset in the database represents the numerical value of the influence degree of the average temperature of the PC power supply on the operation stability evaluation value of the PC power supply. When used, the influence factor corresponding to the average temperature of the PC power supply can be directly obtained from the database. The corresponding relationship can be a pre-set mapping relationship. For example, the average temperature of the PC power supply and the influence factor corresponding to the average temperature of the PC power supply preset in the database form a mapping set. The real-time average temperature of the PC power supply is input into the mapping set to obtain the influence factor corresponding to the average temperature of the PC power supply. The mapping relationship can be a one-to-one correspondence or a many-to-one relationship. In this example, its value range is [0,1].

[0043] Specifically, the operation stability evaluation value of the PC power supply in each supervision cycle is extracted and matched with the monitoring and collection frequency of the PC power supply hardware status data corresponding to the operation stability evaluation value interval of each PC power supply in the database to obtain the monitoring and collection frequency of the PC power supply hardware status data in each supervision cycle; according to the monitoring and collection frequency of the PC power supply hardware status data in each supervision cycle, the hardware status data of the PC power supply is monitored and collected.

[0044] It should be noted that the PC power supply operation stability evaluation value evaluates the operation stability of the power supply. The more unstable the PC power supply is, the higher the acquisition frequency is. The hardware status data monitoring and acquisition frequency is preset in the database, indicating the degree of influence of the PC power supply operation stability evaluation value on the monitoring and acquisition frequency of the PC power supply hardware status data. When used, the monitoring and acquisition frequency of the PC power supply hardware status data can be directly obtained from the database, and the corresponding relationship can be a pre-set mapping relationship. For example, the PC power supply operation stability evaluation value and the monitoring and acquisition frequency of the PC power supply hardware status data preset in the database form a mapping set, and the real-time PC power supply operation stability evaluation value is input into the mapping set to obtain the monitoring and acquisition frequency of the PC power supply hardware status data. The mapping relationship can be a one-to-one corresponding relationship to obtain the hardware status data monitoring and acquisition frequency.

[0045] Specifically, the PC end corresponding to the PC power supply is monitored according to the monitoring and collection frequency of the hardware status data of the PC power supply in each regulatory cycle, and the average CPU operating frequency, the average GPU operating frequency and the average hard disk data transfer rate of the PC end corresponding to the PC power supply in each regulatory cycle are obtained, and the hardware resource usage evaluation value of the PC end corresponding to the PC power supply in each regulatory cycle is obtained by processing. The hardware resource usage evaluation value of the PC end corresponding to the PC power supply in each regulatory cycle is used to quantitatively evaluate the operating status of the hardware of the PC end corresponding to the PC power supply in each regulatory cycle.

[0046] It should be noted that the use of monitoring software (such as: CPU-Z) to monitor the CPU operating frequency, the use of monitoring software (such as: GPU-Z) to monitor the GPU operating frequency, the use of hard disk monitoring software (such as: Master Lu, Tencent Computer Manager), which contains the hardware detection function, can detect the data transfer rate of the hard disk.

[0047] It should be noted that the average operating frequency of the CPU on the PC side corresponding to the PC power supply in the i-th supervision cycle is ,in Indicates the average CPU operating frequency of the PC corresponding to the PC power supply collected for the jth time in the i-th supervision cycle; the average GPU operating frequency of the PC corresponding to the PC power supply in the i-th supervision cycle ,in Indicates the average operating frequency of the GPU on the PC side corresponding to the jth collected PC power supply in the i-th supervision cycle; the average data transfer rate of the hard disk on the PC side corresponding to the PC power supply in the i-th supervision cycle ,in It represents the average data transfer rate of the hard disk on the PC side corresponding to the PC power supply collected for the jth time in the i-th supervision cycle, , n represents the total number of regulatory cycles, , m represents the total number of acquisitions.

[0048] Extract and process the average CPU operating frequency, average CPU operating frequency and average hard disk data transfer rate of the PC end corresponding to the PC power supply in each supervision cycle, calculate the hardware resource usage evaluation value, and quantitatively evaluate the average operating frequency status of the PC hardware. It helps to improve power utilization efficiency and optimize energy consumption allocation.

[0049] Specifically, the PC power supply corresponds to the PC-side hardware resource usage evaluation value in each supervision cycle, and the specific analysis conditions are: ; In the formula, It represents the estimated value of the hardware resource usage of the PC side corresponding to the PC power supply in the i-th supervision cycle. It represents the average CPU operating frequency of the PC side corresponding to the PC power supply in the i-th supervision cycle. It represents the average operating frequency of the GPU on the PC side corresponding to the PC power supply in the i-th supervision cycle, It represents the average data transfer rate of the hard disk on the PC side corresponding to the PC power supply in the i-th supervision cycle, Indicates the reference value of the average CPU operating frequency of the PC. Indicates the reference value of the average operating frequency of the GPU on the PC. Indicates the reference value of the average data transfer rate of the hard disk on the PC side. Indicates the influence factor of the set PC power supply on the average CPU operating frequency of the PC. Indicates the influence factor of the average operating frequency of the GPU on the PC side corresponding to the set PC power supply. Indicates the influence factor of the average data transfer rate of the hard disk on the PC side corresponding to the set PC power supply. , n represents the total number of supervision cycles.

[0050] It should be noted that in this formula, there is a correlation between the average CPU operating frequency, GPU average operating frequency, and hard disk average data transfer rate of the PC power corresponding to the PC end within each supervision cycle. When the average CPU operating frequency of the PC power corresponding to the PC end increases, the average GPU operating frequency of the PC power corresponding to the PC end will increase simultaneously to meet the higher performance requirements of the PC. When the average CPU operating frequency and GPU average operating frequency of the PC power corresponding to the PC end increase, in order to maintain the efficient operation of the PC, the hard disk needs to read and write data quickly, so the average data transfer rate of the hard disk of the PC corresponding to the PC power will also increase accordingly.

[0051] The influence factor corresponding to the average operating frequency of the CPU of the PC power corresponding to the PC end preset in the database represents the numerical value of the influence degree of the average operating frequency of the CPU of the PC power corresponding to the PC end on the hardware resource usage evaluation value of the PC power corresponding to the PC end. When used, the influence factor corresponding to the average operating frequency of the CPU of the PC power corresponding to the PC end can be directly obtained from the database. The corresponding relationship can be a preset mapping relationship. For example, the average operating frequency of the CPU of the PC power corresponding to the PC end and the influence factor corresponding to the average operating frequency of the CPU of the PC power corresponding to the PC end preset in the database form a mapping set. The real-time average operating frequency of the CPU of the PC power corresponding to the PC end is input into the mapping set to obtain the influence factor corresponding to the average operating frequency of the CPU of the PC power corresponding to the PC end. The mapping relationship can be a one-to-one correspondence or a many-to-one relationship. In this example, its value range is [0,1].

[0052] The influence factor corresponding to the average operating frequency of the GPU of the PC corresponding to the PC end preset in the database represents the numerical value of the influence degree of the average operating frequency of the GPU of the PC corresponding to the PC end on the hardware resource usage evaluation value of the PC corresponding to the PC end. When used, the influence factor corresponding to the average operating frequency of the GPU of the PC corresponding to the PC end can be directly obtained from the database. The corresponding relationship can be a pre-set mapping relationship. For example, the average operating frequency of the GPU of the PC corresponding to the PC end and the influence factor corresponding to the average operating frequency of the GPU of the PC corresponding to the PC end preset in the database form a mapping set. The real-time average operating frequency of the GPU of the PC corresponding to the PC end is input into the mapping set to obtain the influence factor corresponding to the average operating frequency of the GPU of the PC corresponding to the PC end. The mapping relationship can be a one-to-one correspondence or a many-to-one relationship. In this example, its value range is [0,1].

[0053] The influence factor corresponding to the average data transfer rate of the hard disk corresponding to the PC end of the PC power supply preset in the database represents the numerical value of the influence degree of the average data transfer rate of the hard disk corresponding to the PC end of the PC power supply on the hardware resource usage evaluation value of the PC power supply corresponding to the PC end. When used, the influence factor corresponding to the average data transfer rate of the hard disk corresponding to the PC end of the PC power supply can be directly obtained from the database. The corresponding relationship can be a pre-set mapping relationship. For example, the average data transfer rate of the hard disk corresponding to the PC end of the PC power supply and the influence factor corresponding to the average data transfer rate of the hard disk corresponding to the PC end of the PC power supply preset in the database form a mapping set. The real-time average data transfer rate of the hard disk corresponding to the PC end of the PC power supply is input into the mapping set to obtain the influence factor corresponding to the average data transfer rate of the hard disk corresponding to the PC end of the PC power supply. The mapping relationship can be a one-to-one correspondence or a many-to-one relationship. In this example, its value range is [0,1].

[0054] like Figure 2 As shown, Figure 2The curve of the evaluation value of the use of hardware resources of the PC side corresponding to the PC power supply is shown in FIG. 1 , where the x-axis represents the average operating frequency of the CPU of the PC side corresponding to the PC power supply during the supervision period, in gigahertz (GHz), and the y-axis represents the evaluation value of the use of hardware resources of the PC side corresponding to the PC power supply. Three different groups of example parameters are defined in the figure, corresponding to different situations of the three curves, represented by solid lines, dashed lines and dotted lines, respectively, and the corresponding curve labels are a, b, and c, respectively. When the average operating frequency of the GPU of the PC side corresponding to the PC power supply during the i-th supervision period is 1.0 GHz, the average operating frequency of the GPU of the PC side corresponding to the PC power supply during the i-th supervision period is 1.0 GHz. The schematic diagram of the relationship between the PC power supply and the evaluation value of the hardware resource usage of the PC side is shown in curve a. When the average operating frequency of the GPU of the PC power supply corresponding to the PC side in the i-th regulatory cycle is 1.5 GHz, the schematic diagram of the relationship between the average operating frequency of the GPU of the PC power supply corresponding to the PC side and the evaluation value of the hardware resource usage of the PC power supply corresponding to the PC side in the i-th regulatory cycle is shown in curve b. When the average operating frequency of the GPU of the PC power supply corresponding to the PC side in the i-th regulatory cycle is 2.0 GHz, the schematic diagram of the relationship between the average operating frequency of the GPU of the PC power supply corresponding to the PC side in the i-th regulatory cycle and the evaluation value of the hardware resource usage of the PC power supply corresponding to the PC side is shown in curve c. When the average operating frequency of the GPU of the PC power supply corresponding to the PC side in the i-th regulatory cycle increases, the evaluation value of the hardware resource usage of the PC power supply corresponding to the PC side will increase accordingly, which reflects the influence of the average operating frequency of the GPU of the PC power supply corresponding to the PC side in the i-th regulatory cycle on the evaluation value of the hardware resource usage of the PC power supply corresponding to the PC side, where the average data transfer rate of the hard disk of the PC power supply corresponding to the PC side in the i-th regulatory cycle is =250 (MB / s), the average CPU operating frequency reference value of the PC =3.0(GHz), the average operating frequency reference value of the GPU on the PC side =1.2(GHz), the reference value of the average data transfer rate of the hard disk on the PC side =300 (MB / s), the influence factor of PC power supply on the average CPU operating frequency of the PC =0.8, the influence factor of PC power supply on the average operating frequency of PC GPU =0.9, the influence factor of PC power supply on the average data transfer rate of the hard disk on the PC side =0.85.

[0055] As shown in Table 1, Table 1 is example data of the hardware resource usage evaluation value of the PC side corresponding to the PC power supply, which lists the hardware resource usage evaluation value of the PC side corresponding to the PC power supply and the average operating frequency of the GPU of the PC side corresponding to the PC power supply in the i-th supervision cycle.

[0056] As shown in Table 1, in a specific embodiment, assuming that the average data transmission rate of the hard disk of the PC corresponding to the PC power supply in the i-th supervision cycle is =250 (MB / s), the average CPU operating frequency reference value of the PC =3.0(GHz), the average operating frequency reference value of the GPU on the PC side =1.2(GHz), the reference value of the average data transfer rate of the hard disk on the PC side =300 (MB / s), the influence factor of PC power supply on the average CPU operating frequency of the PC =0.8, the influence factor of PC power supply on the average operating frequency of PC GPU =0.9, the influence factor of PC power supply on the average data transfer rate of the hard disk on the PC side =0.85. The hardware resource usage evaluation value of the PC power corresponding to the PC side is jointly determined by the average CPU operating frequency, average GPU operating frequency, and data transmission rate of the PC power corresponding to the PC side in the i-th supervision cycle. When the average CPU operating frequency of the PC power corresponding to the PC side in the i-th supervision cycle increases, the hardware resource usage evaluation value of the PC power corresponding to the PC side will increase accordingly.

[0057] Specifically, the operation stability evaluation value of the PC power supply in each supervision cycle and the hardware resource usage evaluation value of the PC end corresponding to the PC power supply in each supervision cycle are extracted, and the state characterization value of the PC power supply is obtained after processing. The state characterization value of the PC power supply is used to evaluate the operation quality of the PC power supply.

[0058] It should be noted that the PC power supply operation stability evaluation value in each supervision cycle and the PC power supply corresponding PC hardware resource usage evaluation value in each supervision cycle are extracted to calculate the PC power supply state characterization value and quantitatively evaluate the power supply operation quality. This helps to provide real-time feedback on the power supply and hardware status, optimize energy utilization, and prevent failures.

[0059] Specifically, the state characterization value of the PC power supply in each supervision cycle, the specific analysis conditions are: ; In the formula, The state characterization value of the PC power supply in the i-th supervision cycle, represents the operational stability evaluation value of the PC power supply in the i-th supervision cycle, It represents the estimated value of the hardware resource usage of the PC side corresponding to the PC power supply in the i-th supervision cycle. Indicates the weight factor corresponding to the set PC power supply operation stability evaluation value, Indicates the weight factor corresponding to the hardware resource usage evaluation value of the PC side corresponding to the set PC power supply. , n represents the total number of supervision cycles.

[0060] The weight factor corresponding to the operation stability evaluation value of the PC power supply preset in the database represents the numerical value of the weight degree of the operation stability evaluation value of the PC power supply to the state characterization value of the PC power supply. When used, the weight factor corresponding to the operation stability evaluation value of the PC power supply can be directly obtained from the database. The corresponding relationship can be a pre-set mapping relationship. For example, the operation stability evaluation value of the PC power supply and the weight factor corresponding to the operation stability evaluation value of the PC power supply preset in the database form a mapping set. The real-time operation stability evaluation value of the PC power supply is input into the mapping set to obtain the weight factor corresponding to the operation stability evaluation value of the PC power supply. The mapping relationship can be a one-to-one correspondence or a many-to-one relationship. In this example, its value range is [0,1].

[0061] The weight factor corresponding to the PC power corresponding to the PC end hardware resource usage evaluation value preset in the database represents the weight degree of the PC power corresponding to the PC end hardware resource usage evaluation value to the PC power state characterization value. When used, the weight factor corresponding to the PC power corresponding to the PC end hardware resource usage evaluation value can be directly obtained from the database. The corresponding relationship can be a pre-set mapping relationship. For example, the PC power corresponding to the PC end hardware resource usage evaluation value and the weight factor corresponding to the PC power corresponding to the PC end hardware resource usage evaluation value preset in the database form a mapping set. The real-time PC power corresponding to the PC end hardware resource usage evaluation value is input into the mapping set to obtain the weight factor corresponding to the PC power corresponding to the PC end hardware resource usage evaluation value. The mapping relationship can be a one-to-one correspondence or a many-to-one relationship. In this example, its value range is [0,1].

[0062] Specifically, the state characterization value of the PC power supply in each supervision cycle is extracted, and the PC power supply is managed through the power management software according to the state characterization value of the PC power supply in each supervision cycle.

[0063] It should be noted that the state characterization value of the PC power supply in each supervision cycle is extracted. The state characterization value of the PC power supply reflects the operation quality of the PC power supply and can reflect the stability and consumption level of the PC power supply. The state characterization value of the PC power supply in each supervision cycle is matched with the stability and consumption level of the PC power supply corresponding to the state characterization value interval of the PC power supply in the database. The stability and consumption level of the PC power supply is preset in the database, which indicates the degree of influence of the state characterization value of the PC power supply on the stability and consumption level of the PC power supply. When used, the stability and consumption level of the PC power supply can be directly obtained from the database, and the corresponding relationship can be a preset mapping relationship. For example, the state characterization value of the PC power supply and the stability and consumption level of the PC power supply preset in the database form a mapping set, and the real-time state characterization value of the PC power supply is input into the mapping set to obtain the stability and consumption level of the PC power supply. The mapping relationship can be a one-to-one corresponding relationship. The stability and consumption levels of the PC power supply include S, A, B, and C levels. Different levels correspond to different adjustment modes, and the power supply is adjusted to a suitable power mode through the power management software according to the level. If the stability and consumption level of the PC power supply in each supervision cycle is S level, the power management software is adjusted to the performance mode, and the operating frequency of the CPU and GPU of the PC side corresponding to the PC power supply is increased, the power consumption demand of the PC side corresponding to the PC is increased, and the power supply is increased to pursue the best performance; if the stability and consumption level of the PC power supply in each supervision cycle is A level, the power management software is adjusted to the balance mode, and the operating frequency of the CPU and GPU of the PC side corresponding to the PC power supply is kept unchanged, the power consumption demand of the PC side corresponding to the PC is kept stable, and a balance is maintained between performance and energy efficiency; if the stability and consumption level of the PC power supply in each supervision cycle is B level, the power management software is adjusted to the power saving mode, and the operating frequency of the CPU and GPU of the PC side corresponding to the PC power supply is reduced, the power consumption demand of the PC side corresponding to the PC power supply is kept decreasing, and the power consumption of the PC side corresponding to the PC power supply is reduced to reduce power consumption; if the stability and consumption level of the PC power supply in each supervision cycle is C level, the power management software is adjusted to the sleep mode, and the operating frequency of the CPU and GPU of the PC side corresponding to the PC power supply is reduced as much as possible, and the power supply is turned off. Taking S level as an example, when the power stability and consumption level reaches S level, it means that the system is in a high performance demand state. At this time, the power management software will automatically switch to performance mode to meet system requirements by increasing the operating frequency of the CPU and GPU.For example, Intel's Turbo Boost technology (Intel Turbo Boost Technology, used to intelligently adjust the processor's operating frequency and core usage status) will automatically increase the CPU frequency beyond its nominal frequency or AMD's Precision Boost technology (intelligent frequency boost technology, dynamically adjusts the processor's operating frequency according to its real-time operating status) will come into play at this time, by dynamically increasing the operating frequency of the CPU and GPU on the PC side corresponding to the PC power supply, thereby instantly providing additional computing power to the system. In this mode, the power management software will monitor the stability and consumption level of the PC power supply. When it detects that the stability and consumption level of the PC power supply is S-level, Turbo Boost will automatically increase the CPU frequency, allowing the CPU to process more data in a short time. At the same time, the operating frequency of the GPU will also increase accordingly, and the software will increase the GPU operating frequency through the API (application programming interface) provided by the GPU manufacturer. Since the frequency increase means increased power consumption, the power management software will dynamically adjust the output of the power supply to ensure a stable power supply for the system under high load. Dynamically adjusting the PC power mode helps reduce power consumption, extend the service life of the hardware, and improve the user experience.

[0064] Specifically, the status data of the PC power supply is monitored within each preset supervision cycle, and the status data of the PC power supply includes operation data and hardware status data.

[0065] The PC power supply operation data is analyzed in each supervision cycle to obtain the monitoring and collection frequency of the hardware status data of the PC power supply in each supervision cycle. Based on the monitoring and collection frequency of the hardware status data of the PC power supply in each supervision cycle, the PC end corresponding to the PC power supply is monitored and analyzed synchronously in each supervision cycle to obtain the state characterization value of the PC power supply in each supervision cycle.

[0066] According to the state characterization value of the PC power supply in each supervision cycle, the management data of the PC power supply in each supervision cycle is obtained, thereby managing the PC power supply.

[0067] It should be noted that the system monitors and collects the consumption data and hardware status data of the PC power supply, analyzes the consumption data to determine the collection frequency of the hardware status data. Then, the PC power supply is monitored and analyzed based on this frequency, and the status characterization value is generated to achieve effective management of the PC power supply. Accurately determine the monitoring frequency to improve the timeliness and accuracy of data processing.

[0068] It should be noted that the efficient PC power management system and method based on intelligent data monitoring also includes a database, which is an important tool for storing and managing the operating data and hardware status data of the PC power supply. In this embodiment, the database is used to store the monitoring and collection frequency of the PC power supply hardware status data in each supervision cycle, the average output power reference value of the PC power supply, the average temperature reference value of the PC power supply, the influencing factor corresponding to the average output power of the PC power supply, the influencing factor corresponding to the average temperature of the PC power supply, the reference value of the average operating frequency of the CPU on the PC side, the reference value of the average operating frequency of the GPU on the PC side, the reference value of the average data transfer rate of the hard disk on the PC side, the influencing factor corresponding to the average operating frequency of the CPU on the PC side corresponding to the PC power supply, the influencing factor corresponding to the average operating frequency of the GPU on the PC side corresponding to the PC power supply, the influencing factor corresponding to the average data transfer rate of the hard disk on the PC side corresponding to the PC power supply, the weight factor corresponding to the operating stability evaluation value of the PC power supply, and the weight factor corresponding to the hardware resource usage evaluation value of the PC power supply corresponding to the PC side.

[0069] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0070] The preferred embodiments of the present invention disclosed above are only used to help illustrate the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to the specific implementation methods described. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. An efficient PC power management system based on intelligent data monitoring, characterized by: include: A data monitoring module, used to monitor the status data of the PC power supply within each preset supervision cycle, wherein the status data of the PC power supply includes operation data and hardware status data; A data analysis module is used to analyze the PC power supply operation data in each supervision cycle, obtain the monitoring and collection frequency of the hardware status data of the PC power supply in each supervision cycle, and based on the monitoring and collection frequency of the hardware status data of the PC power supply in each supervision cycle, simultaneously monitor and analyze the PC end corresponding to the PC power supply in each supervision cycle to obtain the status representation value of the PC power supply in each supervision cycle; The intelligent control module is used to obtain the management data of the PC power supply in each supervision cycle according to the state characterization value of the PC power supply in each supervision cycle, thereby managing the PC power supply.

2. The efficient PC power management system based on intelligent data monitoring according to claim 1 is characterized in that: The monitoring of the status data of the PC power supply is specifically analyzed as follows: The PC power supply operation data is monitored and collected in each supervision cycle to obtain the PC power supply operation data in each supervision cycle, wherein the PC power supply operation data in each supervision cycle includes the average temperature of the PC power supply in each supervision cycle, the average output voltage of the PC power supply, and the average output current of the PC power supply.

3. The efficient PC power management system based on intelligent data monitoring according to claim 1 is characterized in that: The PC power supply operation data is analyzed in each supervision cycle, and the specific analysis is as follows: The average output voltage and the average output current of the PC power supply in each regulatory cycle are extracted to obtain the average output power of the PC power supply, and the average output power and the average temperature of the PC power supply in adjacent regulatory cycles are subjected to difference processing to obtain the average output power change value of the PC power supply in each regulatory cycle and the average temperature change value of the PC power supply in each regulatory cycle, and the operation stability evaluation value of the PC power supply in each regulatory cycle is obtained by processing. The operation stability evaluation value of the PC power supply in each regulatory cycle is used to quantitatively evaluate the operation stability of the PC power supply.

4. The efficient PC power management system based on intelligent data monitoring according to claim 3 is characterized in that: The monitoring and collection frequency of the hardware status data of the PC power supply in each supervision cycle is specifically analyzed as follows: The operation stability assessment value of the PC power supply in each supervision cycle is extracted and matched with the monitoring and collection frequency of the PC power supply hardware status data corresponding to the operation stability assessment value interval of each PC power supply in the database to obtain the monitoring and collection frequency of the PC power supply hardware status data in each supervision cycle; according to the monitoring and collection frequency of the PC power supply hardware status data in each supervision cycle, the hardware status data of the PC power supply is monitored and collected.

5. The efficient PC power management system based on intelligent data monitoring according to claim 4 is characterized in that: The monitoring and analysis of the PC end corresponding to the PC power supply is specifically performed as follows: The PC end corresponding to the PC power supply is monitored according to the monitoring and collection frequency of the hardware status data of the PC power supply in each regulatory cycle, and the average CPU operating frequency, the average GPU operating frequency and the average hard disk data transmission rate of the PC end corresponding to the PC power supply in each regulatory cycle are obtained, and the hardware resource usage evaluation value of the PC end corresponding to the PC power supply in each regulatory cycle is obtained by processing. The hardware resource usage evaluation value of the PC end corresponding to the PC power supply in each regulatory cycle is used to quantitatively evaluate the operating status of the hardware of the PC end corresponding to the PC power supply in each regulatory cycle.

6. The efficient PC power management system based on intelligent data monitoring according to claim 5 is characterized in that: The PC power supply corresponds to the PC-side hardware resource usage evaluation value in each supervision cycle, and the specific analysis conditions are: ； In the formula, It represents the estimated value of the hardware resource usage of the PC side corresponding to the PC power supply in the i-th supervision cycle. It represents the average CPU operating frequency of the PC side corresponding to the PC power supply in the i-th supervision cycle. It represents the average operating frequency of the GPU on the PC side corresponding to the PC power supply in the i-th supervision cycle, It represents the average data transfer rate of the hard disk on the PC side corresponding to the PC power supply in the i-th supervision cycle, Indicates the reference value of the average CPU operating frequency of the PC. Indicates the reference value of the average operating frequency of the GPU on the PC. Indicates the reference value of the average data transfer rate of the hard disk on the PC side. Indicates the influence factor of the set PC power supply on the average CPU operating frequency of the PC. Indicates the influence factor of the average operating frequency of the GPU on the PC side corresponding to the set PC power supply. Indicates the influence factor of the average data transfer rate of the hard disk on the PC side corresponding to the set PC power supply. , n represents the total number of supervision cycles.

7. The efficient PC power management system based on intelligent data monitoring according to claim 5 is characterized in that: The state characterization value of the PC power supply is obtained, and the specific analysis is as follows: The operation stability evaluation value of the PC power supply in each supervision cycle and the hardware resource usage evaluation value of the PC end corresponding to the PC power supply in each supervision cycle are extracted, and the state characterization value of the PC power supply is obtained after processing. The state characterization value of the PC power supply is used to evaluate the operation quality of the PC power supply.

8. The efficient PC power management system based on intelligent data monitoring according to claim 6 is characterized in that: The specific analysis conditions of the state characterization value of the PC power supply in each supervision cycle are as follows: ； In the formula, The state characterization value of the PC power supply in the i-th supervision cycle, It indicates the operation stability evaluation value of the PC power supply in each supervision cycle. Indicates the estimated value of the hardware resource usage of the PC power supply corresponding to the PC side in each supervision cycle. Indicates the weight factor corresponding to the set PC power supply operation stability evaluation value, Indicates the weight factor corresponding to the hardware resource usage evaluation value of the PC side corresponding to the set PC power supply. , n represents the total number of supervision cycles.

9. The efficient PC power management system based on intelligent data monitoring according to claim 1, characterized in that: The management data of the PC power supply is obtained, and the PC power supply is managed accordingly. The specific analysis is as follows: The state characterization value of the PC power supply in each supervision cycle is extracted, and the PC power supply is managed through the power management software according to the state characterization value of the PC power supply in each supervision cycle.

10. An efficient PC power management method based on intelligent data monitoring, characterized in that: include: Monitoring the status data of the PC power supply in each preset supervision cycle, wherein the status data of the PC power supply includes operation data and hardware status data; The PC power supply operation data is analyzed in each supervision cycle to obtain the monitoring and collection frequency of the hardware status data of the PC power supply in each supervision cycle. Based on the monitoring and collection frequency of the hardware status data of the PC power supply in each supervision cycle, the PC end corresponding to the PC power supply is monitored and analyzed in each supervision cycle to obtain the status characterization value of the PC power supply in each supervision cycle. According to the state characterization value of the PC power supply in each supervision cycle, the management data of the PC power supply in each supervision cycle is obtained, thereby managing the PC power supply.

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