JP4793048B2 - Electronic device power saving control method, power saving control system, and program - Google Patents

Description

  The present invention relates to a power saving control method, a power saving control system, and a program for an electronic device, and in particular, suppresses the amount of electricity used for an electronic device such as a personal computer used in an office or home and maintains the convenience. The present invention relates to a control technology that realizes energy saving.

  Conventionally, in this type of electronic device power saving control method and system, when the electronic device is turned on but no input operation is performed, a so-called standby state has passed a predetermined set time. In general, the electronic device and each unit constituting the electronic device are shifted to a low power consumption mode. Furthermore, as a more advanced form, the device usage probability is a combination of the latest operating status and incidental information (interaction with time, operating status of other devices, schedule items, etc.) that is highly correlated with the actual usage. By controlling the operation based on this usage probability, it is considered that power management that satisfies convenience and energy saving that suits the individual's usage is performed.

  An example of a conventional power saving control method and system for an electronic device is described in Patent Document 1. As shown in FIG. 8, a power saving control method and system for an electronic device described in Patent Document 1 includes a server 10 and client PCs 20, 21, 22,... Connected to the server 10 via an information communication network 40.・ ・ Consists of The power supply control method and system for an electronic device having such a configuration operate as follows.

  The client PCs 20, 21, 22,... Collect the operation information of each terminal and transmit it to the server 10 via the information communication network 40. The server 10 accumulates the operation information transmitted from the client PCs 20, 21, 22,... As usage results, and incidental information (time, operation status of other devices, etc.) highly correlated with the usage results of a specific client PC. The predicted operation probability of a specific client PC is calculated in combination with the schedule item). Further, the performance of the client PCs 20, 21, 22,... Is stored as device information, and the power saving effect expected value and the convenience damage expected value are calculated using the predicted operation probability and the device information. Further, the server 10 changes the weighting coefficient between the power saving effect expected value and the convenience damage expected value based on the control condition, selects the optimum operation mode, and transmits an operation mode change signal. The client PCs 20, 21, 22,... Change the operation mode when receiving the operation mode change signal from the server 10.

  With the above operations, the device operating probability is predicted based on the latest operating state and usage record of the client PC, and optimal operation control is performed based on this operating probability, thereby improving the convenience and energy saving to suit individual usage. Satisfactory optimum power management can be performed.

  Japanese Patent Laid-Open No. 2004-228561 detects a standby time for a device such as a printer, creates a histogram by increasing the counter of the time interval of the standby time by one, and corresponds to the most frequent value or average value of the histogram. A method is disclosed in which a device is put into a power saving mode when a standby time continues for a time interval or more.

Japanese Patent Laying-Open No. 2005-295714 (FIG. 1) JP 2004-62405 A

  By the way, the conventional power-saving control technology for electronic devices reflects the user's behavioral characteristics and quantitatively considers the loss of convenience associated with the change of the operation mode, but the information used for calculating the usage probability Correlation analysis of the priority of various usage results information such as the latest operating status, operation status, operation interval, frequency, time, and other incidental information such as schedule alignment, software used, operating status of other devices, etc. It is necessary to judge by such as. Therefore, in order to extract the user's behavior characteristics with high accuracy and to quantitatively consider the loss of convenience associated with the operation mode change, a large burden is imposed on the arithmetic processing.

  On the other hand, the technology for determining the transition time to the power saving mode using the histogram has little calculation processing, but there is no mechanism for extracting changes due to time and various incidental information in the histogram creation method, and the operation is changed from the histogram data. Since there is no mechanism for quantitatively extracting the accompanying changes, there is a possibility that the behavioral characteristics cannot be reflected with high accuracy.

  In addition, since the conventional power saving control technology for electronic devices only considers the calculation of the device usage probability, it considers the transition of various operation modes of devices with operating states other than use and non-use as options. Cannot be applied and the scope of application is limited.

  The first object of the present invention is to save power control that eliminates the need for arithmetic processing related to the analysis of priorities between incidental information and enables the estimation of operation mode transition probabilities and operation mode transition counts that accurately reflect behavioral characteristics. To provide a system.

  A second object of the present invention is to provide a power saving control system that considers various operation mode transitions as options.

  The power saving control system for an electronic device according to one aspect of the present invention is based on the history of the operating state and operation state of the electronic device that is the target of power saving control. Separately, the frequency of occurrence of the operation mode duration is obtained, and a histogram with three variables of the operation mode start time interval, the operation mode duration time interval, and the operation mode transition occurrence frequency is created for each additional information, and the histogram is used. The operation mode transition frequency prediction unit that extracts the operation mode transition frequency from the operation mode start time, operation mode duration, and incidental information, and the energy consumption performance status by referring to the history of power consumption of electronic devices A utility function adjustment unit that changes a utility function that is a function of power consumption and inconvenience in accordance with a ratio between a power value representing power and a target power consumption value; By operation mode that allows you to refer to the history by calculating the utility value indicating the utility in each operation mode from the operation mode transition frequency, power consumption performance in each operation mode, time required for transition to each operation mode, and utility function In order to change the operation mode of the electronic device, an utility calculation unit and an optimal operation mode determination unit that extracts an optimal operation mode having the highest utility value in the most recent operation state and operation state of the electronic device are provided.

The power saving control system for an electronic device according to another aspect of the present invention includes a power consumption performance in each operation mode of an electronic device that is a target of power saving control, a transition time required for each operation mode, a management period, and An information input unit for registering power consumption target values, a device status monitoring unit that monitors the operation status, operation status, and power consumption associated with the operation of the electronic device together with the time and accompanying information, and can refer to the history, and the operation status Referring to the history of the operation state for an arbitrary period, the start time section in which the predetermined operation mode starts, the duration period of the predetermined operation mode, and the occurrence frequency at which the predetermined operation mode transitions to another operation mode A three-dimensional histogram with three variables is created for each incidental information, and the operation mode is determined by combining the start time, duration, and incidental information based on the three-dimensional histogram. By referring to the operation mode transition frequency prediction unit that calculates the transition probability and the number of transitions, and the power consumption history, the power consumption is expressed according to the ratio between the power value that represents the energy saving performance during the management period and the power consumption target value. Utility function adjustment unit that changes the utility function that is a function of electric energy and inconvenience, transition probability and number of transitions of operation mode, power consumption performance in each operation mode, time required for transition to each operation mode, and utility function From the operation mode-specific utility calculation unit that calculates the utility value that represents the utility in each operation mode and makes it possible to refer to the history, and the utility calculation unit by operation mode, and the most effective value in the latest operation state and operation state with the optimum operation mode determining unit for extracting high becomes optimal operation mode, performs control to change the operation mode of the electronic device to the optimum operation mode, or a control and display unit for displaying the optimal operation mode, the .

  In the power saving control system for an electronic device according to the first embodiment of the present invention, the operation mode transition frequency prediction unit relates to a data set in which the incidental information of the three-dimensional histogram and the start time interval are the same, It is also possible to calculate an average value of the frequencies in the section where the frequency fluctuation falls within a predetermined range, and use the average value as the occurrence frequency.

  In the power saving control system for an electronic device according to the second embodiment of the present invention, the utility calculation unit for each operation mode obtains an energy saving expected value from the operation mode transition probability and the power consumption performance, The expected inconvenience value may be obtained from the necessary transition time, and a difference obtained by weighting the utility function between the expected energy saving value and the expected inconvenience value may be calculated as the utility value.

  A power saving control method for an electronic device according to one aspect of the present invention is a method in which a power saving control system performs power saving control of an electronic device, and the operating state and operation of the electronic device to be subjected to power saving control. From the history of the status, the occurrence frequency of the operation mode duration is obtained for each operation mode start time and various incidental information, and the operation mode start time interval, the operation mode duration interval, and the operation mode transition An operation mode transition frequency prediction procedure for creating a histogram with three variables of occurrence frequency for each incidental information and extracting the operation mode transition frequency from the operation mode start time, operation mode duration, and incidental information using the histogram By referring to the history of power consumption of electronic devices, the power consumption can be determined according to the ratio of the power value that represents the state of energy conservation and the power consumption target value. Each operation mode from the utility function adjustment procedure to change the utility function that is a function of quantity and inconvenience, operation mode transition frequency, power consumption performance in each operation mode, transition time required for each operation mode, and utility function Utility calculation procedure for each operation mode that calculates the utility value that represents the utility at the time and makes it possible to refer to the history, and the optimum operation mode that extracts the optimum operation mode with the highest utility value in the most recent operation state and operation state of the electronic device A determination procedure and a control procedure for performing control to change the operation mode of the electronic device to the optimum operation mode.

A power saving control method for an electronic device according to another aspect of the present invention is a method in which a power saving control system performs power saving control of an electronic device, and is in each operation mode of the electronic device to be subjected to power saving control. Information input procedure for registering the power consumption performance, transition time required for each operation mode, management period, and target power consumption, and the operation status, operation status, and power consumption associated with the operation of the electronic device. Device status monitoring procedure that enables monitoring of the history by monitoring together with information, and history of an arbitrary period of the operation state and operation state, and the start time section in which the predetermined operation mode starts and the continuation of the predetermined operation mode A three-dimensional histogram with three variables of the time interval and the frequency of occurrence of the predetermined operation mode transitioning to another operation mode is created for each supplementary information and started based on the three-dimensional histogram. By referring to the operation mode transition frequency prediction procedure that calculates the operation mode transition probability and the number of transitions based on the combination of time, duration, and incidental information, and the power consumption history, the power value that represents the state of energy conservation during the management period The utility function adjustment procedure to change the utility function, which is a function of power consumption and inconvenience, according to the ratio between the power consumption target value and the power consumption target value, the transition probability and number of transitions in the operation mode, and the power consumption performance in each operation mode Refer to the operation calculation procedure for each operation mode that makes it possible to refer to the history by calculating the utility value representing the utility in each operation mode from the time required for transition to each operation mode and the utility function The optimal operation mode determination procedure for extracting the optimal operation mode with the highest utility value in the latest operation state and operation state, and changing the operation mode of the electronic device to the optimal operation mode Including performing the control, or the procedure control and display that displays the optimal operation mode, the.

  A program according to an aspect of the present invention is a computer that configures a system that performs power saving control of an electronic device. The frequency of occurrence of the duration of the operation mode is obtained for each start time of the operation mode and various incidental information, and a histogram with the three variables of the start time interval of the operation mode, the duration of the operation mode, and the occurrence frequency of the operation mode is attached. Created by information and using histograms, operating mode transition frequency prediction processing to extract operating mode transition frequency from operating mode start time, operating mode duration, and incidental information, and history of power consumption of electronic devices The power consumption and inconvenience are determined according to the ratio of the power value that represents the state of energy conservation and the power consumption target value. Represents utility in each operation mode from utility function adjustment processing that changes utility function that is a number, operation mode transition frequency, power consumption performance in each operation mode, transition time required for each operation mode, and utility function The utility calculation process by operation mode to calculate utility values and refer to the history, and the optimum operation mode with the highest utility value in the most recent operation state and operation state of the electronic device to change the operation mode of the electronic device The optimum operation mode determination process to be extracted is executed.

A program according to another aspect of the present invention is directed to a computer constituting a system for performing power saving control of an electronic device, power consumption performance in each operation mode of the electronic device to be subjected to power saving control, and to each operation mode. Information input processing for registering the required transition time, management period, and target value for power consumption, and monitoring the operation status, operation status, and power consumption associated with the operation of the electronic device together with the time and incidental information so that the history can be referred to Referring to the device state monitoring process to be performed and the history of the operation state and the operation state for an arbitrary period, the start time section in which the predetermined operation mode has started, the duration period of the predetermined operation mode, and the predetermined operation mode are Create a 3D histogram for each incidental information with 3 variables of the frequency of occurrence of transition to other operation modes, and start time and duration based on the 3D histogram The power value and power consumption target representing the energy saving performance status during the management period by referring to the power mode history and the operation mode transition frequency prediction process that calculates the transition probability and number of transitions of the operation mode by combining the incidental information Utility function adjustment processing that changes the utility function that is a function of power consumption and inconvenience according to the ratio to the value, transition probability and number of transitions of the operation mode, power consumption performance in each operation mode, each operation mode Refer to the operation calculation function by operation mode that makes it possible to refer to the history by calculating the utility value representing the utility in each operation mode from the required transition time and the utility function. performed and the optimal operation mode determination process of extracting higher becomes optimal operation mode of the most utility value, the control for changing the operation mode of the electronic device to the optimum operation mode in the operating state and the operating state, Properly is to execute, and control and display processing for displaying the optimal operation mode

  The first effect of the present invention is that it is possible to provide a power-saving control system that eliminates the need for arithmetic processing related to the analysis of priorities between incidental information and reflects behavioral characteristics with high accuracy. The reason for this is to extract the occurrence frequency of the operation mode duration from the start time of each operation mode and various incidental information from the results of the operation mode of the device to be controlled, and the start time interval, duration, occurrence frequency By creating a three-dimensional histogram, the variables that quantitatively indicate behavioral characteristics such as the operation mode transition probability and the number of operation mode transitions are extracted only by grasping the start time and duration of the operation mode and the accompanying information. It is.

  The second effect of the present invention is to provide a power saving control system that considers control to various operation modes as options. The reason is that a combination of various operation modes is taken into consideration by creating a histogram not only for the no-operation time of the device but also for the duration of all the operation modes.

  The power saving control system according to the embodiment of the present invention is an information input device that enables registration of power consumption performance in each operation mode, time required for transition to each operation mode, management period, and power consumption target value (FIG. 1). 100), and a device status monitoring device (200 in FIG. 1) that monitors the operation status, operation status, and power consumption of the device main body and the component unit related to the operation of the electronic device together with time and incidental information, and enables history reference. , Referring to the history of the operation state and the operation state for any period, three variables of the start time section when the specific operation mode started, the duration section of the operation mode and the frequency at which the operation mode has transitioned to another operation mode A 3D histogram is created for each incidental information, and the operation mode of the electronic device is determined based on the 3D histogram by combining the start time, duration, and incidental information. Compare the performance of energy saving during the management period with the target power consumption by referring to the operation mode transition frequency predicting device (300 in FIG. 1) that calculates the transition probability and the number of transitions, and an arbitrary history of power consumption. The utility function adjustment device (400 in FIG. 1) that changes the utility function that is a function of the power consumption and inconvenience, the operation mode transition probability and the number of transitions, the power consumption performance, the transition required time, and the utility function By using it, calculate the expected value of energy saving, inconvenience expected value and utility of each operation mode, and refer to the utility calculation device for each operation mode (500 in FIG. 1) that makes it possible to refer to the history and the utility by operation mode. The optimum operation mode determination device (600 in FIG. 1) that extracts the optimum operation mode for the latest operation state and operation state, and the control / display for changing the operation mode of the electronic device to the optimum operation mode And a Display device (700 in FIG. 1).

  According to the system configured as described above, the start time interval is extracted by extracting the start time of each operation mode and the frequency of occurrence of the operation mode duration for each incidental information from the transition of the operation mode in an arbitrary period. A three-dimensional histogram of duration and frequency of occurrence is created for each incidental information, and the change in the operation mode transition probability and the number of operation mode transitions is calculated from the change time and duration to any operation mode. To provide a power saving control system that can estimate the operation mode transition probability and the number of operation mode transitions reflecting the behavioral characteristics with high accuracy without the arithmetic processing related to the priority analysis between the incidental information for the purpose of 1. Can do. Further, the power saving control system considering the transition of various operation modes as an option in the second object of the present invention by generating the histogram not only for the time of no operation of the device but also for the duration of each operation mode. Can be provided.

  In addition, the power saving control system adds a function of averaging the frequency variation in the duration section to the operation mode transition frequency prediction device (300 in FIG. 1) having the configuration of the first automatic power control system. For the data sets having the same supplementary information and the same start time interval, the average value of the frequencies of the intervals in which the frequency fluctuations of the continuous duration intervals fall within an arbitrary range may be calculated.

  According to the system configured in this way, the amount of data held as a histogram can be compressed, and the load required to achieve the first and second objects of the present invention can be further reduced. Hereinafter, it will be described in more detail with reference to the drawings.

(First embodiment)
FIG. 1 is a block diagram showing a configuration of a power saving control system according to the first embodiment of the present invention. In FIG. 1, the power saving control system includes an information input device 100, a device state monitoring device 200, an operation mode transition frequency prediction device 300, an utility function adjustment device 400, an operation mode-specific utility calculation device 500, an optimum operation mode determination device 600, A control / display device 700 is included. Such a power saving control system is constructed in an electronic device or in a system including a server and an electronic device and an information communication network such as the Internet that connects them to each other. When the server and the electronic device are arranged in a system including an information communication network such as the Internet that connects them to each other, each device and database may be arranged appropriately.

  The information input device 100 includes a state initial setting registration unit 101, a performance information registration unit 102, and a management information registration unit 103, receives registration of information necessary for this system, and transmits information to a predetermined device. The state initial setting registration unit 101 receives initial setting registration indicating the relationship between the operation modes and operation states of the device main body and the constituent units related to the operation of the electronic device, and the time and incidental information, and the operation mode transition frequency prediction device 300. Send to. The performance information registration unit 102 receives the performance information such as the power consumption performance in each operation mode of the device main body and the component unit of the electronic device and the required transition time between the operation modes, and stores the performance information in the operation calculation utility 500 for each operation mode. Send. The management information registration unit 103 includes operation condition data such as a reduction reference period, a reduction target period, a target reduction rate, a reduction amount lower limit value, an inconvenience tolerance, power consumption amount, and inconvenience as electronic device operation management information. , The operating condition data and the initial utility function are transmitted to the utility function adjusting apparatus 400, and the operating condition data is transmitted to the operational mode-specific utility calculating apparatus 500.

  The device state monitoring apparatus 200 includes an operating state measuring unit 201, an operation state measuring unit 202, a power consumption measuring unit 203, a state log database 210 (hereinafter referred to as state log DB 210), and a power log database 220 (hereinafter referred to as power log DB 220). It is possible to monitor and save the operation status and operation status of the device main body and the configuration unit related to the operation of the electronic device, and to refer to the history. The operating state measuring unit 201 continuously detects various incidental information according to the operating mode, the time, and the situation as the operating state of the electronic device main body and the constituent unit, and transmits it to the optimum operating mode determination device 600. To do. The operation state measurement unit 202 continuously detects the operation state of the electronic device main body and the constituent units by the user at an arbitrary timing, and transmits it to the optimum operation mode determination device 600. The power consumption measuring unit 203 continuously measures the power consumption of the electronic device main body and the constituent units at an arbitrary timing together with the time. The state log DB 210 stores the operation mode and operation state measurement data of the electronic device main body and the constituent units measured by the operation state measurement unit 201 and the operation state measurement unit 202 as a state log for each time and incidental information. The power log DB 220 stores the power consumption measurement data of the electronic device main body and the constituent units measured by the power consumption measurement unit 203 together with the time as a power consumption log.

  The operation mode transition frequency prediction device 300 includes a duration extraction unit 301, a duration histogram creation unit 302, and an operation mode transition frequency calculation unit 303. By referring to the history of operation / operation states of any electronic device, The predicted value of the operation mode transition frequency (probability and number of times) at which the operation mode of the electronic device is changed is calculated for each start time section and operation information of the operation mode.

  The duration extraction unit 301 receives the initial setting that is transmitted from the state initial setting registration unit 101 and represents the relationship between the operation modes and operation states of the device main body and the constituent units related to the operation of the electronic device, the time, and the accompanying information. Further, the duration extraction unit 301 refers to the state log of an arbitrary period stored in the state log DB 210, and for the change between the operation modes for which the operation transition is to be predicted, the operation mode start time before the transition and the next Using the transition time when transitioning to the operation mode, the duration of the operation mode before the transition and the number of occurrences are extracted for each incidental information, and sorted according to the start time of the operation mode before the transition. If there is no data for the necessary period in the status log DB 210, the default data is used instead.

  After the duration histogram creation unit 302 divides the duration extracted by the duration extraction unit 301 into an arbitrary duration interval and a start time into an arbitrary time interval, and counts the number of occurrences for each duration interval as a frequency A three-dimensional histogram with three variables of time interval, duration interval, and frequency is created for each incidental information. As the duration interval and the time interval are shorter, more detailed behavior characteristics can be extracted, but the processing load increases. Also, if the duration is longer than the time interval and the duration of the operation mode across the time interval occurs, even if it is a histogram of the time interval that does not include the actual start time, The frequency is added to the histogram of each time interval including the transition time up to the operation mode, assuming that the operation mode starts from that time interval and continues until the transition time. By this processing, the periodicity of time can be reflected in the histogram.

  The operation mode transition frequency calculation unit 303 calculates the actual operation mode transition frequency for each combination of the duration section, the time section, and the incidental information from the histogram created by the duration histogram creation section 302, and calculates the utility for each operation mode. Sent to 500. The operation mode transition frequency includes an operation mode transition probability and the number of operation mode transitions.

  The utility function adjustment device 400 includes a power usage trend calculation unit 401, a target power consumption calculation unit 402, and a utility function change unit 403, and refers to a history of power consumption of an arbitrary electronic device, thereby performing an energy saving performance state. Is compared with the target value, and the utility function, which is a function of power consumption and inconvenience, is changed.

  The power usage trend calculation unit 401 receives the operating condition data transmitted from the management information registration unit 103, and uses the power consumption log stored in the power log DB 220 to calculate the power consumption data for the reduction target period in the operating condition data. The latest average actual power consumption during the reduction target period is calculated as a power usage trend.

  The target power consumption calculation unit 402 receives the operating condition data transmitted from the management information registration unit 103, and uses the power consumption data for the reduction reference period in the operating condition data from the power consumption log stored in the power log DB 220. The power consumption record such as the average actual power consumption during the reduction reference period is calculated, and the target power consumption is calculated by considering the target reduction rate and the target reduction amount in the operating condition data.

  The utility function change unit 403 receives the initial utility function transmitted from the management information registration unit 103, the power usage trend calculated by the power usage trend calculation unit 401, and the target power consumption calculated by the target power consumption amount calculation unit 402. The parameters and the like of the initial utility function are adjusted using the amount, and are transmitted to the utility calculation device 500 for each operation mode as the utility function.

  The operation mode-specific utility calculation device 500 includes an energy saving expected value calculation unit 501, an inconvenience expected value calculation unit 502, an operation mode utility calculation unit 503, and an operation mode utility database 510 (hereinafter referred to as an operation mode utility DB 510). Energy consumption expectation value in each operation mode by receiving operation mode transition frequency of any electronic device, power consumption performance in each operation mode, transition time required for each operation mode, utility function, etc. Inconvenience expected value and utility are calculated, saved, and stored in a database that allows history reference.

  The energy saving expected value calculation unit 501 includes the operation mode transition probability in the operation mode transition frequency transmitted from the operation mode transition frequency calculation unit 303 and the power consumption in the performance information in each operation mode transmitted from the performance information registration unit 102. The performance is received, and the expected value of the power consumption associated with the continuation of each operation mode is calculated as the energy saving expected value for each operation mode, time, and incidental information.

  The inconvenience expectation value calculation unit 502 requires the transition in the operation mode transition frequency in the operation mode transition frequency transmitted from the operation mode transition frequency calculation unit 303 and the performance information in each operation mode transmitted from the performance information registration unit 102. The time is received, and the expected value of the transition required time accompanying the continuation of each operation mode is calculated as the inconvenience expected value for each operation mode, each time, and additional information.

  The operation mode-specific utility calculation unit 503 receives the operation condition data transmitted from the management information registration unit 103 and the utility function transmitted from the utility function change unit 403, and is calculated by the energy saving expected value calculation unit 501. Based on the expected energy saving value and the expected inconvenience value calculated by the expected inconvenience value calculation unit 502, the utility in each operation mode is calculated for each time and incidental information.

  The operation mode-specific utility DB 510 stores the utility calculated by the operation mode-specific utility calculation unit 503 for each time, incidental information, and duration.

  The optimum operation mode determination device 600 includes a duration measurement unit 601 and an optimum operation mode extraction unit 602. By detecting the operation state and incidental state of a specific electronic device, the optimum operation mode determination for the situation is performed. Enable.

  The duration measurement unit 601 receives the time and incidental information transmitted from the operation state measurement unit 201 and the operation state transmitted from the operation state measurement unit 202, and calculates the latest operation mode and its duration. .

  The optimum operation mode extraction unit 602 refers to the operation mode-specific utility DB 510 and extracts the latest operation mode calculated by the duration measurement unit 601 and the operation mode having the highest utility in the duration, time interval, and incidental information. And transmitted to the control / display device 700 as the optimum operation mode.

  The control / display device 700 receives the optimum operation mode determined by the optimum operation mode extraction unit 602, performs control to change the operation mode of the electronic device to the optimum operation mode, or displays the received optimum operation mode, Encourage users to change to the optimal operating mode.

  Next, the operation of the power saving control system of the electronic device will be described. FIG. 2 is a flowchart showing the operation of the power saving control system according to the first embodiment of the present invention.

  The information input device 100 receives registration of initial settings indicating the relationship between the operation modes and operation states of the device main body and the constituent units related to the operation of the electronic device and the time and incidental information, and transmits the registration to the operation mode transition frequency prediction device 300. (Step A1).

  The operation mode transition frequency prediction device 300 receives the initial setting transmitted from the information input device 100 (step A2).

  The device state monitoring apparatus 200 continuously detects various incidental information at an arbitrary timing according to the operation mode, time, and situation as the operation states of the electronic device main body and the constituent units, and transmits the detected information to the optimum operation mode determination device 600. (Step A3).

  The device state monitoring device 200 continuously detects the operation state of the electronic device main body and the constituent units by the user at an arbitrary timing, and transmits the operation state to the optimum operation mode determination device 600 (step A4).

  The device state monitoring apparatus 200 stores the measurement data of the operation mode and operation state measured in Step A3 and Step A4 as a state log DB for each time and incidental information (Step A5).

  The operation mode transition frequency prediction device 300 refers to a state log of an arbitrary period from the state log DB stored in step A5, adds initial setting data as necessary, and predicts operation transitions between operation modes. Using the start time of the operation mode before transition and the transition time of transition to the next operation mode, the duration of the operation mode before transition and its occurrence for each incidental information by using the start time of the operation mode before transition The number of times is extracted (step A6).

  The operation mode transition frequency prediction apparatus 300 divides the duration extracted in step A6 into an arbitrary duration section, divides a start time into an arbitrary time section, and counts the number of occurrences for each duration section as a frequency. A three-dimensional histogram based on three variables of the interval, the duration interval, and the frequency is created for each incidental information. Also, if the duration is longer than the time interval and the duration of the operation mode across the time interval occurs, even if it is a histogram of the time interval that does not include the actual start time, The frequency is added to the histogram of each time interval including the transition time up to the operation mode, assuming that the operation mode is started from that time interval and continued until the transition time (step A7).

  The operation mode transition frequency prediction device 300 calculates the actual operation mode transition frequency (probability and number of times) for each combination of duration time, time, and incidental information from the histogram created in step A7, and calculates the operation mode-specific utility calculation device. (Step A8).

  The operation mode-specific utility calculation device 500 receives the result of the operation mode transition frequency in the operation mode transition frequency calculated and transmitted in step A8 (step A9).

  The information input device 100 receives the performance information registration and transmits it to the operation mode-specific utility calculation device 500 (step A10).

  The operation mode-specific utility calculation apparatus 500 receives the performance information in each operation mode registered and transmitted in step A10 (step A11).

  The operation mode-specific utility calculation device 500 calculates an expected value of power consumption associated with the continuation of each operation mode as an energy-saving expected value for each operation mode, time, and incidental information (step A12).

  The operation mode-based utility calculation device 500 calculates the expected value of the transition required time associated with the continuation of each operation mode as the inconvenience expected value for each operation mode, time, and additional information (step A13).

  The device state monitoring apparatus 200 continuously measures the power consumption of the electronic device main body and the constituent units at an arbitrary timing along with the time (step A14).

  The device state monitoring apparatus 200 stores the power consumption measurement data measured in step A14 as the power log DB along with the time (step A15).

  The information input device 100 receives registration of operating condition data and an initial utility function as management information of the electronic device, the operating condition data and the initial utility function are stored in the utility function adjusting device 400, and the operating condition data is calculated according to the operating mode. 500 (step A19).

  The utility function adjustment device 400 receives the operating condition data and the initial utility function transmitted as management information in step A19 (step A16).

  The utility function adjustment device 400 refers to the power consumption data for the reduction target period in the operating condition data from the power consumption log stored in the device state monitoring apparatus 200, and the latest average actual power consumption of the reduction target period, etc. Is calculated as a power usage trend (step A17).

  The utility function adjustment device 400 refers to the power consumption data for the reduction reference period in the operating condition data from the power consumption log stored in the device state monitoring apparatus 200, and the power such as the average actual power consumption of the reduction reference period. The target power consumption is calculated by calculating the usage record and considering the target reduction rate and target reduction amount in the operating condition data (step A18).

  The utility function adjustment device 400 adjusts the parameters of the initial utility function using the power usage trend calculated in step A17 and the target power consumption calculated in step A18, and uses the utility calculation device 500 for each operation mode as the utility function. (Step A20).

  The operation mode-specific utility calculation apparatus 500 receives the operation condition data transmitted as management information in step A19 (step A21).

  The utility calculation device 500 for each operation mode receives the utility function changed and transmitted in step A20, and operates each operation from the expected energy saving value calculated in step A12 and the expected inconvenience value calculated in step A13. The utility in the mode is calculated for each time and incidental information (step A22).

  The operation mode-specific utility calculation device 500 stores the utility calculated in step A22 as an operation mode-specific utility DB for each time, supplementary information, and duration (step A23).

  The optimum operation mode determination device 600 receives the operation state measured and transmitted in step A3 and the operation state measured and transmitted in step A4 (step A24).

  The optimum operation mode determination device 600 calculates the latest operation mode and its duration (step A25).

  The optimum operation mode determination device 600 refers to the operation mode-specific utility DB stored in the operation mode-specific utility calculation device 500, and determines the latest operation mode and the operation mode with the highest utility in the duration, time interval, and incidental information. Extracted and transmitted to the control / display device 700 as the optimum operation mode (step A26).

  The control / display device 700 receives the optimum operation mode determined in step A26 (step A27).

  The control / display device 700 performs control to change the operation mode of the electronic device in accordance with the received optimum operation mode, or displays the received optimum operation mode and prompts the user to change (step A28).

(First embodiment)
Next, a more specific example will be described in detail. Here, assuming an office, for example, a personal computer A is provided as an electronic device for which the optimum operation mode is determined, and a server computer S is provided as the optimum operation mode determination device 600. The information input device 100, the operation mode transition frequency prediction device 300, the utility function adjustment device 400, and the operation mode-specific utility calculation device 500 are included in the server computer S, and include a device state monitoring device 200, a control / display device 700. Is included in the personal computer A.

The server computer S includes a personal computer ID that enables identification of the personal computer A and a unit ID that enables identification of each unit, as well as a CPU, a memory, and a hard disk drive (hereinafter referred to as the main body of the personal computer A and the personal computer A). HDD), monitor, GPU (Graphics Processing Unit), power supply performance in each operation mode of units such as power supply, time required for transition between each operation mode, operation management conditions and power consumption of PC A Allows registration of initial parameters for utility functions that calculate inconvenience utility. Here, the reduction target period T _target , the reduction reference period T _refer , and the target reduction rate r are taken as operation management condition items, and the power consumption amount and the power consumption amount are used as initial parameters of the utility function for calculating the utility of the inconvenience. The initial value β ₀ of the weighting coefficient between inconveniences is taken up.

  Further, the server computer S enables registration of initial settings representing the relationship between the time and supplementary information and each operation mode as a tendency of use of the personal computer A. As the incidental information, the contents described in the schedule at the same time, the startup software, the operating status of other devices, and the like can be considered, but are not particularly limited in this embodiment. In addition, the operation modes are operating (keyboard and mouse are operated), no operation is being performed (keyboard and mouse are not operated but CPU / HDD is being processed), and idling (keyboard and mouse are not operated and CPU / HDD is not used) Processing), HDD OFF, monitor OFF, monitor / HDD OFF, standby, OFF, etc. are considered in this embodiment. FIG. 3 shows an example of initial settings representing the relationship between time and each operation mode.

  The above registration operation only needs to be performed once when registering the personal computer A to be determined for the optimum operation mode.

  The personal computer A continuously detects the operating mode of the personal computer and the constituent units, the operation state of the keyboard and mouse by the user, the power consumption and the detection time at a predetermined timing, and the operation mode and the operation state by the user are stored in the server. To the computer S.

  The operation mode of the detected main body and component units and the operation state data by the user are stored as a status log database for each detection time. Similarly, the detected power consumption data of the main unit and the constituent units is stored as a power consumption log database for each detection time.

  Next, the server computer S calculates the operation mode transition probability and the number of operation mode transitions. For example, from the action history of the past three months, an operation mode that is more than no operation (operation and no operation) and an operation mode that is less than no operation (idling, HDD OFF, monitor OFF, monitor / HDD OFF, When it is desired to predict the transition of the operation mode between standby and OFF), the server computer S is in the state of the last three months (= 91 days, 13 weeks) from the log data stored in the status log database of the personal computer A Refer to the log. Then, using the start time when the operation state transitions to the operation state less than the no-operation operation state and the transition time when the operation state transitions to the operation state more than the no-operation operation state again, Extract the duration and number of occurrences of less than the operating state, and sort by start time. If there are only two months of data in the status log database, the initial data is substituted for the missing one month.

  Also, the duration of the extracted operation state less than no operation is divided into 5-minute intervals, and the start time of transition from the operation state more than the no operation operation to the operation state less than the no operation operation is 5 Divide into minute intervals, and count the number of occurrences in each interval of the duration as a frequency. Then, a three-dimensional histogram is created with three variables of the start time section, the duration section, and the frequency of occurrence. Here, if the duration is longer than the unit section of the start time and the duration of the operation mode across the time interval occurs, even if the histogram of the time interval that does not include the actual start time, the start of the operation mode The frequency is added to the histogram of each time interval including the transition time from the time to another operation mode, assuming that the operation mode is started from that time interval and continued until the transition time. For example, when the operation state is 12:22 to 12:58 and the operation state is less than that during no-operation operation, the frequency is added to the histogram, one for each section 12:20 to 59 as shown in FIG. On the contrary, when the operation state changes multiple times within the same time interval, the frequency corresponding to the number of occurrences is added to the histogram. An example of the three-dimensional histogram created in this way is shown in FIG.

  Further, the server computer S calculates the operation mode transition probability and the actual number of operation mode transitions for each combination of the start time section and the duration section from the created three-dimensional histogram, and converts the histogram. An example of the calculation method of the operation mode transition probability and the number of operation mode transitions will be described with reference to FIG. FIG. 6 is a diagram in which data in the section i at the start time is cut out from a histogram in which data for the period of f cycles is collected for the number of occurrences of the duration of the operation mode j with respect to the transition from the operation mode j to the operation mode k. is there.

Here, if the reference period of the histogram is 3 months (= 91 days, 13 weeks) and the frequency of occurrences in the start time interval is tabulated without distinguishing the day of the week, f = 91, and the day of the week is distinguished. If the frequency of occurrence of the start time interval is counted for each day of the week, f = 13. Assuming that the frequency of occurrence of the continuation state at the duration t is n _{i, j, k, t} , the operation mode transition probability P _{i, j, k} when the operation mode transition prediction period T and the duration t = x. Is given by the following equation (1), and the operation mode transition times _{Ni, j, k} are given by the following equation (2).

Next, the server computer S updates the weighting coefficient β between the power consumption and inconvenience. The weighting coefficient β is changed according to the target achievement status of power consumption using β ₀ registered in advance as an initial value. The server computer S refers to the power consumption measurement log of the personal computer A stored in the state log database of the personal computer A, and starts from the first day of the reduction target period T _target registered as the operation management condition to the day before the measurement date. From the power consumption, a power consumption amount trend Q _ave per day and a power consumption amount Q _refer in the reduction reference period T _refer are calculated. Using these calculation results and the target reduction rate r of the electricity consumption registered as the operation management condition, the target daily power consumption amount Q _target is calculated by the following equation (3).

Also, using the calculated daily power consumption trend Q _ave and the target daily power consumption actual result Q _target , the utility weighting coefficient β is changed as shown in the following equation (4).

Next, the server computer S creates and updates an operation mode-specific utility database. According to the example of FIG. 6, the server computer S uses the calculated operation mode transition probability P _{i, j, k} of the personal computer A and the power consumption performance W _k , W in each operation mode of the registered personal computer A. _{From j} , the expected value of power consumption when the initial state of the prediction period T of the operation mode transition is set to each operation mode (considering that the operation mode changes due to an operation between T, etc.) M _{i, j, k} (x, T) is calculated for each section of the start time and the section of the duration. An example of a formula for calculating the energy saving expected value M _{i, j, k} (x, T) is shown in the following formula (5).

In addition, from the previously calculated operation mode transition number N _{i, j, k} of the personal computer A and the necessary transition time R _{j → k} in each operation mode of the personal computer A registered, the initial period T of the operation mode transition is predicted. When the state is changed to each operation mode, the expected value of the transition required time (considering that the operation mode changes due to the operation between T, etc.) is started as the inconvenience expected value D _{i, j, k} (x, T) It is calculated for each section of time and duration. An example of a calculation formula for the expected inconvenience value D _{i, j, k} (x, T) is shown in the following formula (6).

Operating condition data, updated utility weighting coefficient β, calculated energy saving expected value M _{i, j, k} (x, T), inconvenience expected value D _{i, j, k} (x, T) Thus, utility values U _{i, j, k} (x, T) representing the utility in each operation mode are calculated for each start time interval and duration interval. An example of a formula for calculating the utility value U _{i, j, k} (x, T) is shown in the following formula (7).

The calculated utility value U _{i, j, k} (x, T) is stored as an operation mode-specific utility database for each of the start time section and the continuous time section.

  The calculation of the operation mode transition probability and the number of operation mode transitions, the update of the weighting coefficient between the power consumption and inconvenience, and the creation / update of the operation mode utility database may be performed once for each period f. For example, if the frequency of occurrence of a time interval is totaled without distinguishing the day of the week, it is performed once a day, and if the frequency of occurrence of the time interval is aggregated for each same day of the week, It can be done once a week.

The server computer S determines the latest operating mode type and its start time interval from the operating state of the personal computer A and the operating state of the keyboard, mouse, etc. that the personal computer A continuously detects and transmits at an arbitrary timing. And measure the duration interval. In addition, referring to the latest database of utility data for each operation mode, the operation mode with the highest utility value U _{i, j, k} (x, T) in the type of the measured operation mode and its start time and duration is optimized. The operation mode is extracted and transmitted to the personal computer A.

  The personal computer A receives the optimal operating mode from the server computer S and performs control to change the operating mode of the personal computer A to the optimal operating mode, or displays the optimal operating mode for the purpose of prompting the user to change voluntarily. To do.

  According to the power saving control system that operates as described above, the frequency of occurrence of the operation mode duration time is extracted from the start time of each operation mode and various incidental information from the results of the operation modes of the controlled devices. By creating a three-dimensional histogram of the start time interval, duration, and frequency of occurrence, quantifying behavioral characteristics such as the operation mode transition probability and the number of operation mode transitions simply by grasping the start time and duration of the operation mode and incidental information Can be extracted. Further, by creating the histogram not only for the no-operation time of the device but also for the duration of all the operation modes, various combinations of operation modes can be considered. Therefore, it is possible to realize a power saving control system that reflects behavioral characteristics with high accuracy and quantitatively considers the loss of convenience associated with the operation mode change, without performing arithmetic processing related to priority analysis between incidental information. . Further, it is possible to realize a power saving control system that can consider the control to the operation mode as an option.

(Second Embodiment)
Next, a second embodiment of the present invention will be described. In the power saving control system for an electronic device according to the second embodiment, the duration histogram creation unit 302 uses the duration extracted by the duration extraction unit 301 as the duration of a certain time, and the start time is an arbitrary time interval. After calculating the frequency of occurrence for each continuous time interval as a frequency, calculate the average frequency by collecting the frequency fluctuations in the continuous time interval within an arbitrary range, and use the average frequency to calculate the time interval. The third embodiment is different from the first embodiment in that a three-dimensional histogram based on three variables of duration duration and average frequency is created for each supplementary information.

  Next, the operation of the power saving control system for the electronic device according to the second embodiment will be described. The operation mode transition frequency prediction apparatus 300 divides the duration extracted in Step A6 into durations of a certain time, divides the start time into arbitrary time intervals, and counts the number of occurrences for each duration duration as a frequency. The average frequency is calculated by collecting the intervals in which the fluctuation of the frequency of the continuous duration interval falls within an arbitrary range, and using the average frequency, a three-dimensional histogram based on the three variables of the time interval, the duration interval, and the average frequency is classified for each additional information. create. Also, if the duration is longer than the time interval and the duration of the operation mode across the time interval occurs, even if it is a histogram of the time interval that does not include the actual start time, The frequency is added to the histogram of each time interval including the transition time up to the operation mode, assuming that the operation mode is started from that time interval and continued until the transition time (step A7). The operation in other steps is the same as that in the first embodiment.

(Second embodiment)
Next, specific examples will be described. In this example, as compared with the example of the first embodiment, the server computer S divides the extracted duration by a duration of a certain time and the start time by an arbitrary time, and continues. A three-dimensional histogram is provided with an averaging means for calculating the average frequency by counting the frequency of the intervals in which the fluctuation of the frequency of the continuous duration interval falls within an arbitrary range after counting the occurrence frequency for each time interval as the frequency. The difference is that the average frequency is used to create the. The server computer S equipped with such averaging means divides the duration of the extracted operating state less than that during the non-operating operation into intervals of 5 minutes, and performs no operation from the operating state during the non-operating operation or more. The start time of transition to an operating state that is less than operating is also divided into 5-minute intervals, the number of occurrences in each section of the duration is counted as a frequency, and then the value obtained by adding 1 to the frequency in the continuous duration section The average frequency is calculated by summing the frequencies of the intervals in which the frequencies that fall within the range of 1/2 to 2 times, and a three-dimensional histogram is created by three variables of the start time interval, the duration interval, and the average frequency of occurrence. . Here, when the value to be added or the magnification is increased, the section to which the same average value is applied is widened around the quiet section of the data, and the processing becomes light. An example in which such an averaging process is performed on histogram data of a certain start time zone is shown in FIG.

  As described above, according to the power saving control system of the second embodiment, in addition to the effects of the first embodiment, the amount of data held as a histogram is compressed by averaging the frequencies. Can do. For this reason, it is possible to further reduce the load required for variable extraction processing that quantitatively indicates behavioral characteristics such as the operation mode transition probability and the number of operation mode transitions. Furthermore, when the total period is short, the data for each time interval is insufficient, and by calculating the frequency, the calculation result of the operation mode transition probability and the operation mode transition frequency is easily affected by unique data. Can alleviate that.

  According to the present invention, an information processing apparatus that predicts the operation probability of each terminal, calculates a power saving effect and a loss of convenience, and selects an optimum operation mode, and a program for realizing the information processing apparatus in a computer It can be applied to such uses. It can also be applied to applications such as network systems that manage the operation of various electrical devices in offices and homes so as to achieve both reduction of energy consumption and improvement of convenience.

It is a block diagram which shows the structure of the power saving control system which concerns on the 1st Embodiment of this invention. It is a flowchart showing operation | movement of the power saving control system which concerns on the 1st Embodiment of this invention. It is a figure which shows the example of the initial setting showing the relationship between time and each operation mode. It is a figure which shows the count method when the continuation time over a time interval generate | occur | produces. It is a figure which shows the example of the three-dimensional histogram produced. It is a figure which shows the example of the calculation method of an operation mode transition probability and the operation mode transition frequency | count. It is a figure which shows the example of the averaging processing method which concerns on the 2nd Embodiment of this invention. It is a block diagram which shows the structure of the conventional system.

Explanation of symbols

DESCRIPTION OF SYMBOLS 100 Information input device 101 State initial setting registration part 102 Performance information registration part 103 Management information registration part 200 Device state monitoring apparatus 201 Operation state measurement part 202 Operation state measurement part 203 Power consumption measurement part 210 State log database 220 Power log database 300 Operation Mode transition frequency prediction device 301 Duration extraction unit 302 Duration histogram creation unit 303 Operation mode transition frequency calculation unit 400 Utility function adjustment device 401 Power usage trend calculation unit 402 Target power consumption calculation unit 403 Utility function change unit 500 By operation mode Utility calculation device 501 Energy saving expected value calculation unit 502 Inconvenience expected value calculation unit 503 Utility calculation by operation mode 510 Utility database by operation mode 600 Optimal operation mode determination device 601 Duration etc. measurement unit 602 Optimal operation mode extraction unit 00 control and display unit

Claims (12)

Start the operation mode by determining the frequency of occurrence of the operation mode duration for each operation mode start time and various incidental information from the past history of the operation status and operation status of the electronic devices subject to power saving control A histogram with three variables of time interval, operation mode duration and operation mode transition occurrence frequency is created for each auxiliary information, and using the histogram, the operation mode start time, operation mode duration, and An operation mode transition frequency prediction unit that extracts the operation mode transition frequency from the accompanying information;
Utility to change the utility function that is a function of power consumption and inconvenience according to the ratio of the power value representing the energy saving performance status and the power consumption target value by referring to the history of power consumption of the electronic device A function adjuster;
An operation for calculating the utility value indicating the utility in each operation mode from the operation mode transition frequency, the power consumption performance in each operation mode, the time required for transition to each operation mode, and the utility function, and making it possible to refer to the history. A mode-specific utility calculator,
In order to change the operation mode of the electronic device, an optimum operation mode determination unit that extracts the optimum operation mode with the highest utility value in the most recent operation state and operation state of the electronic device;
A power saving control system for electronic equipment, comprising: An information input unit for registering power consumption performance in each operation mode of the electronic device that is subject to power saving control, time required for transition to each operation mode, management period, and power consumption target value;
An equipment state monitoring unit that monitors the operation state, operation state, and power consumption associated with the operation of the electronic device together with time and incidental information and enables history reference;
Referring to the history of the operation state and the operation state for an arbitrary period, the start time section in which the predetermined operation mode starts, the duration period of the predetermined operation mode, and the predetermined operation mode transition to another operation mode A three-dimensional histogram is generated for each incidental information with three variables of the occurrence frequency, and the transition probability and the number of transitions of the operation mode are calculated based on the combination of the start time, the duration, and the incidental information based on the three-dimensional histogram. An operation mode transition frequency prediction unit to perform,
By referring to the power consumption history, the utility function, which is a function of power consumption and inconvenience, is changed according to the ratio between the power value representing the energy saving performance during the management period and the power consumption target value. A utility function adjustment unit to
From the operation mode transition probability and number of transitions, power consumption performance in each operation mode, the time required for transition to each operation mode, and the utility function, a utility value representing the utility in each operation mode is calculated and the history is referenced. An operational mode-specific utility calculator to be enabled;
An optimum operation mode determination unit that extracts the optimum operation mode having the highest utility value in the latest operation state and the operation state with reference to the operation mode utility calculation unit,
A control / display unit that performs control to change the operation mode of the electronic device to the optimum operation mode , or displays the optimum operation mode ;
A power saving control system for electronic equipment, comprising:   The operation mode transition frequency prediction unit relates to a data set in which the incidental information and the start time section of the three-dimensional histogram are the same, and the frequency variation of the continuous duration section is within a predetermined range. The power saving control system for an electronic device according to claim 1, wherein an average value of frequencies is calculated, and the average value is used as the frequency of occurrence.   The operation mode-specific utility calculation unit obtains an energy saving expected value from the transition probability of the operation mode and the power consumption performance, obtains an inconvenience expected value from the number of transitions of the operation mode and the required transition time, The power saving control system for an electronic device according to claim 2, wherein a difference obtained by weighting the utility function between the expected value of energy saving and the expected value of inconvenience is calculated as the utility value. A power saving control system performs power saving control of an electronic device,
Start the operation mode by determining the frequency of occurrence of the operation mode duration for each operation mode start time and various incidental information from the past history of the operation status and operation status of the electronic devices subject to power saving control A histogram with three variables of time interval, operation mode duration and operation mode transition occurrence frequency is created for each auxiliary information, and using the histogram, the operation mode start time, operation mode duration, and From the incidental information, an operation mode transition frequency prediction procedure for extracting the operation mode transition frequency,
Utility to change the utility function that is a function of power consumption and inconvenience according to the ratio of the power value representing the energy saving performance status and the power consumption target value by referring to the history of power consumption of the electronic device Function adjustment procedure,
An operation for calculating the utility value indicating the utility in each operation mode from the operation mode transition frequency, the power consumption performance in each operation mode, the time required for transition to each operation mode, and the utility function, and making it possible to refer to the history. Utility calculation procedure by mode,
An optimum operation mode determination procedure for extracting an optimum operation mode having the highest utility value in the most recent operation state and operation state of the electronic device;
A control procedure for performing control to change the operation mode of the electronic device to the optimum operation mode;
A power saving control method for an electronic device, comprising: A power saving control system performs power saving control of an electronic device,
Information input procedure for registering the power consumption performance in each operation mode of the electronic device subject to power saving control, the time required for transition to each operation mode, the management period, and the power consumption target value,
A device state monitoring procedure for monitoring the operating state, operation state, and power consumption associated with the operation of the electronic device together with the time and incidental information so that the history can be referred to,
Referring to the history of the operation state and the operation state for an arbitrary period, the start time section in which the predetermined operation mode starts, the duration period of the predetermined operation mode, and the predetermined operation mode transition to another operation mode A three-dimensional histogram is generated for each incidental information with three variables of the occurrence frequency, and the transition probability and the number of transitions of the operation mode are calculated based on the combination of the start time, the duration, and the incidental information based on the three-dimensional histogram. Operation mode transition frequency prediction procedure to
By referring to the power consumption history, the utility function, which is a function of power consumption and inconvenience, is changed according to the ratio between the power value representing the energy saving performance during the management period and the power consumption target value. Utility function adjustment procedure to
From the operation mode transition probability and number of transitions, power consumption performance in each operation mode, the time required for transition to each operation mode, and the utility function, a utility value representing the utility in each operation mode is calculated and the history is referenced. The procedure for calculating the utility according to the operating mode to be possible,
An optimum operation mode determination procedure for extracting the optimum operation mode having the highest utility value in the latest operation state and the operation state with reference to the operation mode utility calculation unit,
Control to change the operation mode of the electronic device to the optimum operation mode , or a control / display procedure for displaying the optimum operation mode ,
A power saving control method for an electronic device, comprising:   In the operation mode transition frequency prediction procedure, regarding the data set in which the incidental information and the start time interval of the three-dimensional histogram are the same, the frequency variation of the interval in which the continuous duration interval falls within a predetermined range The power saving control method for an electronic device according to claim 5 or 6, wherein an average value of frequencies is calculated, and the average value is used as the frequency of occurrence.   In the utility mode-specific utility calculation procedure, an energy saving expectation value is obtained from the operation mode transition probability and the power consumption performance, and an inconvenience expectation value is obtained from the operation mode transition frequency and the transition required time, The power saving control method for an electronic device according to claim 6, wherein a difference obtained by weighting the utility function between the energy saving expected value and the inconvenience expected value is calculated as the utility value. In the computer that constitutes the system that performs power saving control of electronic devices,
Start the operation mode by determining the frequency of occurrence of the operation mode duration for each operation mode start time and various incidental information from the past history of the operation status and operation status of the electronic devices subject to power saving control A histogram with three variables of time interval, operation mode duration and operation mode transition occurrence frequency is created for each auxiliary information, and using the histogram, the operation mode start time, operation mode duration, and The operation mode transition frequency prediction process for extracting the operation mode transition frequency from the incidental information,
Utility to change the utility function that is a function of power consumption and inconvenience according to the ratio of the power value representing the energy saving performance status and the power consumption target value by referring to the history of power consumption of the electronic device Function adjustment processing,
An operation for calculating the utility value indicating the utility in each operation mode from the operation mode transition frequency, the power consumption performance in each operation mode, the time required for transition to each operation mode, and the utility function, and making it possible to refer to the history. Mode-specific utility calculation processing,
In order to change the operation mode of the electronic device, an optimum operation mode determination process for extracting the optimum operation mode having the highest utility value in the most recent operation state and operation state of the electronic device;
A program that executes In the computer that constitutes the system that performs power saving control of electronic devices,
Information input processing for registering the power consumption performance in each operation mode of the electronic device subject to power saving control, the time required for transition to each operation mode, the management period, and the power consumption target value;
A device state monitoring process for monitoring the operation state, operation state, and power consumption associated with the operation of the electronic device together with the time and incidental information so that the history can be referred to,
Referring to the history of the operation state and the operation state for an arbitrary period, the start time section in which the predetermined operation mode starts, the duration period of the predetermined operation mode, and the predetermined operation mode transition to another operation mode A three-dimensional histogram is generated for each incidental information with three variables of the occurrence frequency, and the transition probability and the number of transitions of the operation mode are calculated based on the combination of the start time, the duration, and the incidental information based on the three-dimensional histogram. Operation mode transition frequency prediction processing to
By referring to the power consumption history, the utility function, which is a function of power consumption and inconvenience, is changed according to the ratio between the power value representing the energy saving performance during the management period and the power consumption target value. Utility function adjustment processing to
From the operation mode transition probability and number of transitions, power consumption performance in each operation mode, the time required for transition to each operation mode, and the utility function, a utility value representing the utility in each operation mode is calculated and the history is referenced. The utility calculation process by operation mode to be enabled,
With reference to the operation mode utility calculation unit, an optimum operation mode determination process for extracting the optimum operation mode with the highest utility value in the latest operation state and the operation state;
Control to change the operation mode of the electronic device to the optimum operation mode , or control / display processing to display the optimum operation mode ;
A program that executes   The operation mode transition frequency predicting process relates to a data set in which the incidental information and the start time section of the three-dimensional histogram are the same, and the frequency variation of the continuous duration section is within a predetermined range. The program according to claim 9 or 10, wherein an average value of frequencies is calculated, and the average value is used as the occurrence frequency.   The operational mode-specific utility calculation processing calculates an expected energy saving value from the transition probability of the operational mode and the power consumption performance, calculates an inconvenience expected value from the number of transitions of the operational mode and the required transition time, The program according to claim 10, wherein a difference obtained by weighting the utility function between an energy saving expected value and the inconvenience expected value is calculated as the utility value.

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