JP2016184195A - Data processing device, data processing program, and data processing method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a data processing device, a data processing program, and a data processing method for detecting the change of state quickly.SOLUTION: A monitor system 140 includes a consumption power monitor device 100, a display device 110, and a power control device 120. The consumption power monitor device 100 includes: a consumption power determination unit 103 that determines whether the data of the consumption power associated with the current time are out of a predetermined range in the data distribution including the data of the consumption power associated with the current time and the consumption power data on another date associated with the same time as the current time; and a determination result notification unit 104 that notifies that the consumption power determination unit 103 has determined that the data are out of the predetermined range.SELECTED DRAWING: Figure 1

Description

  The present invention relates to a data processing apparatus, a data processing program, and a data processing method for processing time series data of power consumption.

  Conventionally, a prediction device that predicts daily fluctuations in power demand is known. The forecasting device has a plurality of fluctuation patterns representing daily fluctuations in power demand, acquires time series data of power demand in the early morning hours, compares them with each fluctuation pattern, and extracts similar fluctuation patterns Therefore, the fluctuation of power demand during daytime hours is predicted.

JP2013-114629A

  However, daily fluctuations in power demand tend to be, for example, every season, and a different fluctuation pattern may begin to appear at the turn of the season (also referred to as “state change”).

  In the conventional prediction apparatus, such a state change is detected after a certain period of time has elapsed, and thus it is difficult to maintain the prediction accuracy in the power demand fluctuation prediction during this period. On the other hand, if a sign of a state change can be detected quickly, a measure for maintaining the prediction accuracy can be taken.

  In one aspect, the objective is to quickly detect signs of state change.

  According to one aspect, the data processing apparatus includes a current distribution in a data distribution that includes power consumption data associated with the current time and power consumption data associated with the same time as the current time. A determination unit that determines whether or not power consumption data associated with the time is out of a predetermined range; and a notification unit that notifies that the determination unit determines that the data is out of the predetermined range. It is characterized by having.

  It becomes possible to quickly detect signs of a state change.

It is a figure which shows an example of the whole structure of a monitoring system provided with a power consumption monitoring apparatus. It is a figure which shows the hardware constitutions of a power consumption monitoring apparatus. It is a figure which shows an example of the time series data of power consumption. It is a figure which shows an example of the data for determination produced | generated by the data production | generation part for determination. It is a flowchart of the data generation process for determination by the data generation part for determination. It is a figure which shows a mode that the data for determination are produced | generated for every predetermined period by the data production | generation part for determination. It is a figure which shows an example of a detailed functional structure of a power consumption determination part. It is a flow chart of change occurrence existence judging processing by a change occurrence existence judgment part. It is a figure which shows the specific example of a change occurrence presence determination process. It is a flowchart of the state change degree calculation process by a state change degree calculation part. It is a figure which shows the 1st specific example of a state change degree calculation process. It is a figure which shows the 2nd specific example of a state change degree calculation process. It is a figure which shows the 3rd specific example of a state change degree calculation process. It is a flowchart of the determination process by a determination part. It is a flowchart of the determination process by a determination part. It is a figure which shows transition of the state change degree with respect to the elapsed days after the change of power consumption generate | occur | produced. It is a figure which shows an example of the determination result notified by the determination result notification part.

  Each embodiment will be described below with reference to the accompanying drawings. In addition, in this specification and drawing, about the component which has the substantially same function structure, the duplicate description is abbreviate | omitted by attaching | subjecting the same code | symbol.

[First Embodiment]
First, a monitoring system 140 including a power consumption monitoring device that is an example of a data processing device according to the present embodiment will be described. FIG. 1 is a diagram illustrating an example of an overall configuration of a monitoring system including a power consumption monitoring device.

  As shown in FIG. 1, the monitoring system 140 includes a power consumption monitoring device 100, a display device 110, and a power control device 120. The power consumption monitoring device 100 is communicably connected to the display device 110. The power consumption monitoring apparatus 100 is connected to the power control apparatus 120 so as to be communicable.

  The power consumption monitoring apparatus 100 analyzes “time series data of power consumption” in which power consumption (for example, average power consumption per hour (kW)) and time are associated with each other. The power consumption monitoring apparatus 100 detects an indication of a state change at the turn of the season based on the analysis result, and determines whether the detected indication is due to the occurrence of the state change (change attribute). .

  “Detecting a state change” means detecting a “change in power consumption” indicating that a state change has occurred when a state change occurs at the turn of the season or the like. Here, “change in power consumption” means that power consumption deviating from the fluctuation pattern of the daily fluctuation appears in the daily fluctuation of power consumption.

  The power consumption monitoring apparatus 100 is installed with a time series data acquisition program, a determination data generation program, a power consumption determination program, and a determination result notification program. The power consumption monitoring apparatus 100 functions as a time-series data acquisition unit 101, a determination data generation unit 102, a power consumption determination unit 103, and a determination result notification unit 104 by executing these various programs.

  The time series data acquisition unit 101 sequentially acquires power consumption time series data from the power control device 120. Since the power consumption time-series data is sequentially output from the power control device 120 at a predetermined cycle (for example, one hour cycle), the time-series data acquisition unit 101 stores the time-series data acquired at the predetermined cycle for a plurality of days. And stored in the time-series data storage unit 111.

  The determination data generation unit 102 reads time-series data of power consumption from the time-series data storage unit 111. Further, the determination data generation unit 102 extracts the power consumption data associated with the current time and the power consumption data of other days (for the past N days) associated with the same time as the current time. Thus, the target time data is generated and stored in the target time data storage unit 112.

  Further, the determination data generation unit 102 calculates the variation rate from the power consumption of a predetermined time before the target time of each day (for example, one hour before) based on the generated target time data, so that the first The target time variation rate data is generated and stored in the first target time variation rate data storage unit 113.

  Further, the determination data generation unit 102 calculates the rate of change from the power consumption of a predetermined time before the target time of each day (for example, two hours before) based on the generated target time data, so that the second The target time variation rate data is generated and stored in the second target time variation rate data storage unit 114.

  The power consumption determination unit 103 performs a Smirnov-Grubbs test on each of the target time data, the first target time variation rate data, and the second target time variation rate data, and determines the presence / absence of a statistical outlier. Note that the determination of the presence or absence of statistical outliers refers to determining the presence or absence of data that falls outside a predetermined range when statistical processing is performed on the data distribution of each data. As a result, the power consumption determination unit 103 determines whether or not a change in power consumption has occurred at the current time.

  Further, when the power consumption determination unit 103 determines that a change in power consumption has occurred, the power consumption determination unit 103 determines whether the change in power consumption is due to the occurrence of a state change. Alternatively, it is determined whether it is not due to the occurrence of a state change but due to the occurrence of a temporary abnormality only at that time. That is, the power consumption determination unit 103 also determines a change attribute when determining that a change in power consumption has occurred.

  The determination result notification unit 104 notifies the display device 110 of the determination result in the power consumption determination unit 103 together with the time series data. In addition, the determination result notification unit 104 notifies the power control device 120 of the determination result.

  The display device 110 is a device for a power management person who manages the power control device 120 to check the power consumption controlled by the power control device 120. The display device 110 displays the time series data notified from the power consumption monitoring device 100 and the determination result. Thereby, the person in charge of power management can recognize that a change in power consumption has occurred. In addition, it is possible to recognize the change attribute whether the change in power consumption is due to the occurrence of a change in state or due to the occurrence of a temporary abnormality only at that time.

  The power control device 120 controls power consumption. Further, the power consumption under control is associated with the time, and is transmitted to the power consumption monitoring apparatus 100 at predetermined intervals as time-series data of power consumption. Furthermore, the power control apparatus 120 performs fluctuation prediction of daily fluctuations in power consumption based on the determination result notified from the power consumption monitoring apparatus 100.

  Next, the hardware configuration of the power consumption monitoring apparatus 100 will be described. FIG. 2 is a diagram illustrating a hardware configuration of the power consumption monitoring apparatus 100. As shown in FIG. 2, the power consumption monitoring apparatus 100 includes a CPU 201, a ROM (Read Only Memory) 202, and a RAM (Random Access Memory) 203. The power consumption monitoring apparatus 100 includes an auxiliary storage unit 204, an operation unit 205, a connection unit 206, a communication unit 207, and a drive unit 208. Note that the units of the power consumption monitoring apparatus 100 are connected to each other via a bus 209.

  The CPU 201 is a computer that executes various programs (for example, a time-series data acquisition program, a determination data generation program, a power consumption determination program, a determination result notification program, and the like) stored in the auxiliary storage unit 204.

  The ROM 202 is a nonvolatile memory. The ROM 202 functions as a main storage unit that stores programs, data, and the like necessary for the CPU 201 to execute various programs stored in the auxiliary storage unit 204. Specifically, it functions as a main storage unit that stores a boot program such as BIOS (Basic Input / Output System) or EFI (Extensible Firmware Interface).

  The RAM 203 is a volatile memory, and includes a DRAM (Dynamic Random Access Memory), an SRAM (Static Random Access Memory), and the like. The RAM 203 functions as a main storage unit that provides a work area that is expanded when various programs stored in the auxiliary storage unit 204 are executed by the CPU 201.

  The auxiliary storage unit 204 is a computer-readable medium that stores various programs and data generated by executing the various programs. The predetermined areas of the auxiliary storage unit 204 include, for example, a time series data storage unit 111, a target time data storage unit 112, a first target time variation rate data storage unit 113, and a second target time variation rate data storage unit 114. Function.

  The operation unit 205 accepts various operations on the power consumption monitoring apparatus 100, for example. The connection unit 206 is connected to the display device 110 and notifies the display device 110 of time series data of power consumption and a determination result.

  The communication unit 207 communicates with the power control apparatus 120 and transmits / receives time-series data of power consumption and determination results to / from the power control apparatus 120.

  The drive unit 208 is a device for setting the recording medium 210. The recording medium 210 here includes a medium for recording information optically, electrically or magnetically, such as a CD-ROM, a flexible disk, a magneto-optical disk or the like. The recording medium 210 may include a semiconductor memory that electrically records information, such as a ROM and a flash memory.

  In the present embodiment, various programs stored in the auxiliary storage unit 204 include, for example, the recording medium 210 set in the drive unit 208, and the various programs recorded in the recording medium 210 are read out by the drive unit 208. Is stored. Alternatively, it may be stored by being downloaded from the network via the communication unit 207.

  Next, time series data of power consumption transmitted from the power control device 120 and stored in the time series data storage unit 111 via the time series data acquisition unit 101 will be described. FIG. 3 is a diagram illustrating an example of time-series data indicating power consumption.

  In FIG. 3, the horizontal axis indicates the date and time, and the vertical axis indicates the power consumption. In addition, in the example of FIG. 3, the average power consumption (kW) for every hour is plotted.

  As shown in FIG. 3, the power consumption fluctuates periodically on a daily basis. In addition, daily fluctuations in power consumption have different fluctuation patterns from day to day. When these fluctuation patterns are compared, there are fluctuation patterns with small differences and large fluctuation patterns. For example, at the time points 301 and 302 in FIG. 3, the fluctuation pattern of the daily fluctuation of the power consumption changes greatly before and after that, and the difference is large.

  Next, determination data (target time data, first target time variation rate data, and second target time variation rate data) generated by the determination data generation unit 102 will be described. FIG. 4 is a diagram illustrating an example of determination data generated by the determination data generation unit.

  4A is a diagram illustrating an example of the target time data generated by the determination data generation unit 102. The horizontal axis indicates the date and time, and the vertical axis indicates the power consumption. The target time data in FIG. 4A is generated by extracting time series data for 19 days from the time series data of power consumption with the current time = “8:00 am”.

  Specifically, the power consumption at the same time “8:00 am” one day before the day to which the current time belongs, the power consumption at the same time “8:00 am” two days ago, and the same time 18 days ago It is generated by extracting the power consumption at “8:00 am”.

  In FIG. 4A, the current time is described as “8:00 am”. However, if the current time is “9 am”, the time series data for 19 days at “9 am” is used. The target time data is generated.

  FIG. 4B is a diagram illustrating an example of the first target time variation rate data generated by the determination data generation unit 102, where the horizontal axis indicates the date and time, and the vertical axis indicates the power consumption variation rate. R1 is shown. The first target time variation rate data is generated based on the target time data. For example, assuming that the power consumption at the current time = “8:00 am” is Va and the power consumption one hour before the current time (= “7:00 am”) is Vb, the fluctuation rate R1 at the current time is expressed by the following equation: Is calculated.

  Similarly, based on the power consumption at the same time “8:00 am” one day before the day to which the current time belongs and the power consumption one hour ago, the same time “8 am at the day before the day to which the current time belongs” Fluctuation rate R1 at “time” is calculated. Hereinafter, by calculating up to the fluctuation rate R1 18 days before the day to which the current time belongs, the first target time fluctuation rate data in FIG. 4B is obtained.

  FIG. 4C is a diagram illustrating an example of the second target time variation rate data generated by the determination data generation unit 102, where the horizontal axis indicates the date and time, and the vertical axis indicates the power consumption variation rate. R2 is shown. The second target time variation rate data is generated based on the target time data. For example, assuming that the power consumption at the current time = “8:00 am” is Va ′, and the power consumption two hours before the current time (= “6 am”) is Vb ′, the fluctuation rate R2 at the current time is It is calculated as follows.

  Similarly, based on the power consumption at the same time “8:00 am” one day before the day to which the current time belongs and the power consumption two hours before that, the same time “8 am at the day before the day to which the current time belongs” Fluctuation rate R2 at “time” is calculated. Thereafter, by calculating up to the fluctuation rate R2 18 days before the day to which the current time belongs, the second target time fluctuation rate data in FIG. 4C is obtained.

  Next, a flow of determination data generation processing by the determination data generation unit 102 will be described. FIG. 5 is a flowchart of determination data generation processing by the determination data generation unit.

  In step S <b> 501, the determination data generation unit 102 reads time-series data of power consumption stored in the time-series data storage unit 111. It is assumed that the time-series data storage unit 111 already stores time-series data including power consumption data at the current time.

  In step S502, the determination data generation unit 102 calculates the power consumption data at the current time from the read time-series data, and the power consumption at the same time as the current time from 1 day before to 18 days before the day to which the current time belongs. Extract the data. Further, the extracted power consumption data is stored in the target time data storage unit 112 as target time data.

  In step S503, the determination data generation unit 102 calculates data of the fluctuation rate R1 at the current time and data of the fluctuation rate R1 at the same time as the current time from 1 day before to 18 days before the day to which the current time belongs. Further, the calculated data of the fluctuation rate R1 is stored in the first target time fluctuation rate data storage unit 113 as the first target time fluctuation rate data.

  In step S504, the determination data generation unit 102 calculates data of the fluctuation rate R2 at the current time and data of the fluctuation rate R2 at the same time as the current time from 1 day before to 18 days before the day to which the current time belongs. Further, the calculated data of the fluctuation rate R2 is stored in the second target time fluctuation rate data storage unit 114 as second target time fluctuation rate data.

  In step S505, the determination data generation unit 102 determines whether or not a predetermined period (for example, 1 hour) has elapsed since the time-series data was read in step S501. If it is determined in step S505 that the predetermined period has not elapsed, the process waits until the predetermined period elapses.

  On the other hand, if it is determined in step S505 that the predetermined period has elapsed, the process proceeds to step S506, where it is determined whether an instruction to end the determination data generation process has not been input, and it has been determined that it has not been input. In the case, the process returns to step S501.

  Thus, the target time data, the first target time variation rate data, and the second target time variation rate data are sequentially generated at predetermined intervals until an instruction to end the determination data generation process is input. It will be done. On the other hand, if an instruction to end the determination data generation process is input, the determination data generation process ends.

  Next, determination data (target time data, first target time variation rate data, and second target time variation rate data) generated at predetermined intervals by the determination data generation unit 102 will be described. FIG. 6 is a diagram illustrating a state in which determination data is generated every predetermined period by the determination data generation unit.

  As illustrated in FIG. 6, for example, when the current time = “8:00 am”, the determination data generation unit 102 includes target time data 601, first target time fluctuation rate data 602, and second data The target time variation rate data 603 is generated.

  In addition, when a predetermined period (for example, 1 hour) elapses and the current time = “9:00 am”, the determination data generation unit 102 includes target time data 611, first target time fluctuation rate data 612, Second target time variation rate data 613 is generated.

  Further, when the predetermined period has passed and the current time = “10:00 am”, the determination data generation unit 102 performs the target time data 621, the first target time variation rate data 622, and the second target time variation. Rate data 623 is generated.

  As described above, the determination data generation unit 102 generates determination data for each predetermined period.

  Next, the power consumption determination unit 103 will be described. FIG. 7 is a diagram illustrating an example of a detailed functional configuration of the power consumption determination unit. As illustrated in FIG. 7, the power consumption determination unit 103 includes a data verification unit 701, a change occurrence presence / absence determination unit 702, an outlier count calculation unit 703, a state change degree calculation unit 704, and a determination unit 705.

  The data verification unit 701 reads the target time data for the same time as the current time among the target time data stored in the target time data storage unit 112 for each predetermined period, and performs the Smirnov-Grubbs test. Also, the first target time variation rate data for the same time as the current time is read out from the first target time variation rate data stored in the first target time variation rate data storage unit 113 for each predetermined period. Perform a Smirnov-Grubbs test. Further, second target time variation data for the same time as the current time is read out from the second target time variation data stored in the second target time variation data storage unit 114 at predetermined intervals. Perform a Smirnov-Grubbs test.

  The change occurrence determination unit 702 changes the power consumption based on the result of the verification performed on the target time data, the first target time variation rate data, and the second target time variation rate data performed in the data verification unit 701. Whether or not has occurred is determined. Specifically, the change occurrence determination unit 702 determines whether the power consumption data at the current time corresponds to a statistical outlier based on the test result for the target time data, and corresponds to the statistical outlier. If so, it is determined that a change in power consumption has occurred. Further, based on the result of the test for the first target time fluctuation rate data, it is determined whether or not the data of the fluctuation rate R1 at the current time corresponds to a statistical outlier, and when it is determined that the data corresponds to a statistical outlier It is determined that a change in power consumption has occurred. Furthermore, based on the result of the test for the second target time fluctuation rate data, it is determined whether or not the data of the fluctuation rate R2 at the current time corresponds to a statistical outlier, and when it is determined that the data corresponds to a statistical outlier It is determined that a change in power consumption has occurred.

  The outlier count calculation unit 703 performs the target time data, the first target time fluctuation rate data, and the second target when the change occurrence determination unit 702 performs the test and determines that the power consumption has changed. The number of statistical outliers is calculated for each time variation data.

  Specifically, the number of outliers calculation unit 703 determines that the power consumption data at the current time is a statistical outlier on the day after the day to which the current time belongs (a predetermined number of days M-1). Is calculated. For example, when the predetermined number of days M = 5, the number of times that the power consumption data at the current time is determined to be a statistical outlier (the number of outlier determination times) is calculated until four days after the day to which the current time belongs. .

  Similarly, the outlier count calculation unit 703 determines that the data of the fluctuation rate R1 at the current time is a statistical outlier on the day after the day to which the current time belongs (a predetermined number of days M-1). The number of determinations is calculated. Further, the outlier count calculation unit 703 determines outliers in which the data of the fluctuation rate R2 at the current time is determined to be a statistical outlier on the day after the date to which the current time belongs (a predetermined number of days M-1). Calculate the number of times.

  The state change degree calculation unit 704 is an outlier that has been determined to be a statistical outlier by the outlier number calculation unit 703 for each of the target time data, the first target time variation rate data, and the second target time variation rate data. Based on the number of times of determination, the state change degree for the current time is calculated.

  The degree of state change is a quantification of the degree of continuity of how long a determination result that is a statistical outlier will continue from now on, based on the number of times it was determined to be a statistical outlier. . Here, it is assumed that the current time when it is determined that a change in power consumption has occurred is T ′, and the number of outlier determinations determined to be a statistical outlier is OL (T ′). In this case, the state change degree (st_chg_measure (T ′; K)) when K days (K ≦ M−1, for example, M = 5) has elapsed is calculated by the following equation.

状態変化度算出部７０４では、対象時刻データ、第１の対象時刻変動率データ、第２の対象時刻変動率データそれぞれについて算出した、消費電力の変化が発生したと判定された現在時刻についての状態変化度を判定部７０５に通知する。

The state change degree calculation unit 704 calculates the state for the current time when it is determined that a change in power consumption has occurred, calculated for each of the target time data, the first target time fluctuation rate data, and the second target time fluctuation rate data. The determination unit 705 is notified of the degree of change.

  Based on the state change degree notified by the state change degree calculation unit 704, the determination unit 705 determines whether the change in power consumption is due to the occurrence of a state change or a temporary abnormality that occurs only at that time. Determine. That is, the determination unit 705 determines the change attribute.

  Here, the degree of state change changes within the range of 0 to 1, and it is determined that the closer to 1, the higher the possibility that it was due to the occurrence of a state change. On the other hand, as the state change degree is closer to 0, it is determined that there is a high possibility that it is due to the occurrence of a temporary abnormality only at that time.

  The determination result determined by the power consumption determination unit 103 is transmitted to the display device 110 together with time-series data by the determination result notification unit 104. Here, the determination result includes a change in power consumption (the power consumption data at the current time corresponds to a statistical outlier) and a change attribute. In addition, the determination result includes a value of the state change degree at the time when it is determined that a change in power consumption has occurred. The determination result is also transmitted to the power control apparatus 120.

  Next, the flow of the change occurrence determination process by the power consumption determination unit 103 will be described. FIG. 8 is a flowchart of a change occurrence determination process by the power consumption determination unit.

  In step S <b> 801, the data verification unit 701 reads target time data for the same time as the current time from the target time data stored in the target time data storage unit 112. In addition, the data verification unit 701 includes first target time variation rate data for the same time as the current time among the first target time variation rate data stored in the first target time variation rate data storage unit 113. read out. Further, the data verification unit 701 includes second target time variation data for the same time as the current time among the second target time variation data stored in the second target time variation data storage unit 114. read out.

  In step S802, the data verification unit 701 performs a Smirnov-Grubbs test based on the target time data read in step S801. Furthermore, the change occurrence determination unit 702 determines whether the power consumption data at the current time corresponds to a statistical outlier based on the test result.

  In step S803, the data verification unit 701 performs a Smirnov-Grubbs test based on the first target time variation rate data read in step S801. Furthermore, the change occurrence determination unit 702 determines whether the variation rate R1 at the current time corresponds to a statistical outlier based on the test result.

  In step S804, the data verification unit 701 performs a Smirnov-Grubbs test based on the second target time variation rate data read in step S801. Furthermore, the change occurrence determination unit 702 determines whether the fluctuation rate R2 at the current time corresponds to a statistical outlier based on the test result.

  In step S805, the change occurrence presence / absence determination unit 702 determines whether there is data determined to be a statistical outlier as a result of the determination in steps S802 to S804. If it is determined in step S805 that there is no data determined to be a statistical outlier, the process proceeds to step S807.

  On the other hand, if it is determined in step S805 that there is data determined to be a statistical outlier, the process proceeds to step S806. In step S806, the change occurrence determination unit 702 determines that a change in power consumption has occurred at the current time.

  In step S807, the data verification unit 701 has passed a predetermined period from the reading of the determination data in step S801 (reading of target time data, first target time variation rate data, and second target time variation rate data). Determine whether or not. If it is determined in step S807 that the predetermined period has not elapsed, the process waits until the predetermined period elapses.

  On the other hand, if it is determined in step S807 that the predetermined period has elapsed, the process proceeds to step S808, where it is determined whether or not an instruction to end change occurrence determination processing has been input, and it is determined that no end instruction has been input. If so, the process returns to step S801. In this case, the processing from step S801 to step S807 is performed at the current time after the predetermined period has elapsed.

  On the other hand, if it is determined in step S808 that an instruction to end the change occurrence determination process has been input, the change occurrence determination process ends.

  Next, a specific example of change occurrence determination processing by the power consumption determination unit 103 will be described. FIG. 9 is a diagram illustrating a specific example of the process for determining whether or not a change has occurred. Among these, FIG. 9A shows target time data for the same time as the current time among the target time data stored in the target time data storage unit 112. In FIG. 9A, a dotted line frame 901 is determined not to be a statistical outlier as a result of performing a Smirnov-Grubbs test based on power consumption data at the current time and power consumption data for the past 18 days. The range is shown. As shown in FIG. 9A, since the power consumption data at the current time is located outside the dotted frame 901, it is determined to be a statistical outlier.

  FIG. 9B shows the first target time variation rate data for the same time as the current time among the first target time variation rate data stored in the first target time variation rate data storage unit 113. ing. In FIG. 9B, the dotted line frame 902 is determined not to be a statistical outlier as a result of the Smirnov-Grubbs test based on the data of the fluctuation rate R1 at the current time and the fluctuation rate R1 data for the past 18 days. Shows the range. As shown in FIG. 9B, since the data of the fluctuation rate R1 at the current time is included in the dotted frame 902, it is determined that it is not a statistical outlier.

  FIG. 9C shows second target time variation data for the same time as the current time among the second target time variation data stored in the second target time variation data storage unit 114. ing. In FIG. 9C, the dotted frame 903 is determined not to be a statistical outlier as a result of the Smirnov-Grubbs test based on the data of the fluctuation rate R2 at the current time and the fluctuation rate R2 data for the past 18 days. Shows the range. As shown in FIG. 9C, since the data of the fluctuation rate R2 at the current time is located outside the dotted frame 903, it is determined to be a statistical outlier.

  Thus, in the example of FIG. 9, in the target time data and the second target time fluctuation rate data, it was determined that the data at the current time is a statistical outlier. As a result, the change occurrence determination unit 702 determines that a change in power consumption has occurred at the current time.

  Next, the flow of the state change degree calculation process by the power consumption determination unit 103 will be described. FIG. 10 is a flowchart of state change degree calculation processing by the power consumption determination unit. In the following description, “current time” refers to the time (for example, “8:00 am”) at which a change occurrence determination unit 702 determines that a change in power consumption has occurred.

  In step S1001, the state change degree calculation unit 704 determines whether or not the change occurrence determination unit 702 determines that a change in power consumption has occurred at the current time.

  If it is not determined that a change in power consumption has occurred, the state change degree calculation process for the current time is terminated. On the other hand, if it is determined that a change in power consumption has occurred, the process proceeds to step S1002.

  In step S <b> 1002, the state change degree calculation unit 704 substitutes an initial value “1” for the elapsed days K. Further, in step S1003, the state change degree calculation unit 704 determines whether K days have elapsed from the current time.

  If it is determined in step S1003 that the K day has not elapsed, the process waits until it is determined that the K day has elapsed. On the other hand, if it is determined that K days have passed, the process proceeds to step S1004.

  In step S1004, the state change degree calculation unit 704 determines that the power consumption data for the current time is a statistical outlier based on the respective target time data from 1 day to K days after the day to which the current time belongs. The number of outlier determinations determined is calculated.

  In step S1005, the state change degree calculation unit 704 calculates the state change degree for the current time based on the outlier determination number calculated in step S1004. Thereby, the state change degree based on the target time data at the time when K days have elapsed with respect to the current time is calculated.

  In step S1006, the state change degree calculation unit 704 determines that the data of the change rate R1 for the current time is based on the respective first target time change rate data from 1 day to K days after the day to which the current time belongs. The number of outlier determinations determined to be a statistical outlier is calculated.

  In step S1007, the state change degree calculation unit 704 calculates the state change degree for the current time based on the outlier determination number calculated in step S1006. Thereby, the state change degree based on the first target time fluctuation rate data at the time when K days have elapsed with respect to the current time is calculated.

  In step S1008, the state change degree calculation unit 704 determines that the data of the change rate R2 for the current time is based on the second target time change rate data from 1 day to K days after the day to which the current time belongs. The number of outlier determinations determined to be a statistical outlier is calculated.

  In step S1009, the state change degree calculation unit 704 calculates the state change degree for the current time based on the number of outlier determinations calculated in step S1008. Thereby, the state change degree based on the second target time fluctuation rate data at the time when K days have elapsed with respect to the current time is calculated.

  In step S1010, the state change degree calculation unit 704 determines whether or not the number of elapsed days K is equal to or less than a predetermined threshold (= M−1, for example, M = 5).

  If it is determined in step S1010 that the number of elapsed days K is equal to or less than the predetermined threshold value, the process proceeds to step S1011. In step S1011, the state change degree calculation unit 704 increments the elapsed days K, and then returns to step S1003. Thereby, the processing from step S1003 to step S1011 is repeated for the power consumption, the fluctuation rate R1, and the fluctuation rate R2 at the current time until the elapsed days K exceed a predetermined threshold.

  On the other hand, if it is determined in step S1010 that the number of elapsed days K has exceeded a predetermined threshold, the state change degree calculation process is terminated.

  Next, a specific example of the state change degree calculation process by the power consumption determination unit 103 will be described. 11 to 13 are diagrams illustrating specific examples of the state change degree calculation processing. FIGS. 11 to 13 each determine that a change in power consumption has occurred in any of the determination data at the current time. Shows the case. Among these, FIG. 11 shows that “determination that a change in power consumption has occurred” at the current time is resolved as a result of the process for determining whether or not a change has occurred at the same time after the day to which the current time belongs (one day later). Shows the case. On the other hand, in FIG. 12, “determination that a change in power consumption has occurred” at the current time continues as a result of the change occurrence determination process being performed at the same time on the day after the day to which the current time belongs (one day later). Shows the case. Further, FIG. 13 shows that, as a result of the change occurrence determination process performed at the same time on the day after the day to which the current time belongs (one day later), “determination that a change in power consumption has occurred” at the current time has continued. Shows the case. In addition, the case of FIG. 13 shows a case where “determination that a change in power consumption has newly occurred” is made at the same time one day later. Hereinafter, description will be made sequentially from FIG.

  FIG. 11A shows a state in which the target time data is read out at the same time one day after the day to which the current time belongs, and the change occurrence determination process is performed. The dotted line frame 1101 shows the result of performing the Smirnov-Grubbs test based on the power consumption data at the same time one day after the day to which the current time belongs and the power consumption data for the past N days (N = 18). The range determined not to be an outlier is shown.

  As shown in FIG. 11 (a), since the power consumption data at the current time is included in the dotted line frame 1101, it is determined that it is not a statistical outlier in the change occurrence determination process at the same time one day later. That is, since the power consumption data at the current time was located outside the dotted frame 901 at the current time, it was determined to be a statistical outlier, but at the same time one day after the day to which the current time belongs. Thus, the determination of being a statistical outlier has been eliminated.

  For this reason, the outlier determination frequency at the time of 1 day of the power consumption data at the current time is “1”, and the state change degree calculation unit 704 uses the outlier determination frequency and uses the outlier determination frequency based on the target time data. The degree of state change at the time when one day has elapsed with respect to the current time is calculated.

  FIG. 11B shows a state where the first target time variation rate data is read at the same time one day after the day to which the current time belongs, and the change occurrence determination process is performed. A dotted line frame 1102 shows a statistical outlier by performing a Smirnov-Grubbs test on the data of the fluctuation rate R1 at the same time one day after the day to which the current time belongs and the data of the fluctuation rate R1 for the past N days (N = 18). The range determined to be not is shown.

  As shown in FIG. 11B, since the data of the fluctuation rate R1 at the current time is included in the dotted frame 1102, it is determined again that it is not a statistical outlier. Therefore, the state change degree for the current time based on the first target time variation rate data is not calculated.

  FIG. 11C shows a state where the second target time variation rate data is read at the same time one day after the day to which the current time belongs, and the change occurrence determination process is performed. A dotted line frame 1103 is a statistical outlier by performing a Smirnov-Grubbs test on the data of the fluctuation rate R2 at the same time one day after the day to which the current time belongs and the data of the fluctuation rate R2 for the past N days (N = 18). The range determined to be not is shown.

  As shown in FIG. 11C, the data of the fluctuation rate R2 at the current time is determined to be a statistical outlier because it is located outside the dotted line frame 903 at the current time. However, at the same time one day after the day to which the current time belongs, the determination that it is a statistical outlier will be canceled.

  For this reason, the number of outlier determinations at the time when one day has elapsed for the data of the fluctuation rate R2 at the current time is “1”. The state change degree calculation unit 704 calculates the state change degree at the time when one day has elapsed for the current time based on the second target time variation rate data, using the outlier determination number.

  FIG. 12A shows another state in which the target time data is read at the same time one day after the day to which the current time belongs, and the change occurrence determination process is performed. The dotted line frame 1201 shows the result of performing the Smirnov-Grubbs test based on the power consumption data at the same time one day after the day to which the current time belongs and the power consumption data for the past N days (N = 18). The range determined not to be an outlier is shown.

  As shown in FIG. 12A, since the power consumption data at the current time is located outside the dotted line frame 1201, it is determined to be a statistical outlier. That is, since the target time data at the current time is located outside the dotted frame 901 at the current time, it is determined to be a statistical outlier. And since it is still outside the dotted line frame 1201 at the same time one day after the day to which the current time belongs, it is determined to be a statistical outlier, and the determination that it is a statistical outlier is continued. become.

  For this reason, the outlier determination frequency at the time of 1 day for the power consumption data at the current time is “2”, and the state change degree calculation unit 704 uses the outlier determination frequency and uses the outlier determination frequency based on the target time data. The degree of state change at the time when one day has elapsed with respect to the current time is calculated.

  FIG. 12B shows another state in which the first target time variation rate data is read at the same time one day after the day to which the current time belongs, and the change occurrence determination process is performed. The dotted line frame 1202 performs a Smirnov-Grubbs test on the data of the fluctuation rate R1 at the same time one day after the day to which the current time belongs and the fluctuation rate R1 data for the past N days (N = 18), and is a statistical outlier. The range determined to be not is shown.

  As shown in FIG. 12B, since the data of the fluctuation rate R1 at the current time is included in the dotted line frame 1202, it is determined again that it is not a statistical outlier. Therefore, the state change degree for the current time based on the first target time variation rate data is not calculated.

  FIG. 12C shows another state in which the second target time fluctuation rate data is read at the same time one day after the day to which the current time belongs, and the change occurrence determination process is performed. A dotted line frame 1203 performs a Smirnov-Grubbs test on the data of the fluctuation rate R2 at the same time one day after the day to which the current time belongs and the fluctuation rate R2 data for the past N days (N = 18), and is a statistical outlier. The range determined to be not is shown.

  As shown in FIG. 12C, since the data of the fluctuation rate R2 at the current time is located outside the dotted line frame 1203, it is determined to be a statistical outlier. That is, since the data of the fluctuation rate R2 at the current time is located outside the dotted frame 903 at the current time, the data is determined to be a statistical outlier. And since it is still outside the dotted line frame 1203 even at the same time one day after the day to which the current time belongs, it is determined that it is a statistical outlier, and the determination that it is a statistical outlier is continued. become.

  For this reason, the number of outlier determinations at the time when one day has elapsed for the data of the fluctuation rate R2 at the current time is “2”. The state change degree calculation unit 704 calculates the state change degree at the time when one day has elapsed for the current time based on the second target time variation rate data, using the outlier determination number.

  FIG. 13A shows another state in which the target time data is read at the same time one day after the day to which the current time belongs, and the change occurrence determination process is performed. The dotted line frame 1301 shows the result of performing the Smirnov-Grubbs test based on the power consumption data at the same time one day after the day to which the current time belongs and the power consumption data for the past N days (N = 18). The range determined not to be an outlier is shown.

  As shown in FIG. 13A, since the power consumption data at the current time is located outside the dotted line frame 1301, it is determined to be a statistical outlier. Since the power consumption data at the current time is located outside the dotted frame 901 at the current time, the outlier determination frequency for the current time is twice at the same time one day after the day to which the current time belongs. It becomes. For this reason, the state change degree calculation unit 704 calculates the degree of state change at the time when one day has elapsed for the current time based on the target time data, using the outlier determination count.

  In addition, since the power consumption data at the same time one day after the day to which the current time belongs is located outside the dotted frame 1301, the power consumption data at the same time one day after the day to which the current time belongs is It is determined to be a statistical outlier. Note that, at the same time one day after the day to which the current time belongs, the outlier determination frequency for the power consumption data at the same time one day after the day to which the current time belongs is one. Therefore, the state change degree calculation unit 704 calculates the state change degree for the same time one day after the day to which the current time based on the target data belongs, using the outlier determination count.

  FIG. 13B shows another state in which the first target time variation rate data is read at the same time one day after the day to which the current time belongs, and the change occurrence determination process is performed. The dotted line frame 1302 shows the result of performing the Smirnov-Grubbs test based on the data of the fluctuation rate R1 at the same time one day after the day to which the current time belongs and the data of the fluctuation rate R1 for the past N days (N = 18). The range determined not to be a statistical outlier is shown.

  As shown in FIG. 13B, since the data of the variation rate R1 at the current time is included in the dotted line frame 1302, it is determined that it is not a statistical outlier. Therefore, the state change degree for the current time based on the first target time variation rate data is not calculated.

  FIG. 13C shows another state in which the second target time variation rate data is read at the same time one day after the day to which the current time belongs, and the change occurrence determination process is performed. The dotted line frame 1303 is a result of performing the Smirnov-Grubbs test based on the data of the fluctuation rate R2 at the same time one day after the day to which the current time belongs and the data of the fluctuation rate R2 for the past N days (N = 18). The range determined not to be a statistical outlier is shown.

  As shown in FIG. 13C, since the data of the fluctuation rate R2 at the current time is located outside the dotted line frame 1303, it is determined to be a statistical outlier. Since the data of the fluctuation rate R2 at the current time is located outside the dotted frame 903 at the current time, the outlier determination count for the current time is 2 at the same time one day after the day to which the current time belongs. Times. For this reason, the state change degree calculation unit 704 calculates the state change degree at the time when one day has elapsed with respect to the current time based on the second target time fluctuation rate data, using the outlier determination number.

  Further, since the data of the fluctuation rate R2 at the same time one day after the day to which the current time belongs is located outside the dotted line frame 1303, the data of the fluctuation rate R2 at the same time one day after the day to which the current time belongs. Is determined to be a statistical outlier. It should be noted that at the same time one day after the day to which the current time belongs, the number of outlier determinations for the variation rate R2 data at the same time one day after the day to which the current time belongs is one. Therefore, the state change degree calculation unit 704 calculates the state change degree for the same time one day after the day to which the current time belongs based on the second target time variation rate data, using the outlier determination frequency.

  Next, the flow of determination processing by the power consumption determination unit 103 will be described. 14 and 15 are flowcharts of determination processing by the power consumption determination unit. In step S1401, the determination unit 705 determines whether or not the change occurrence determination unit 702 determines that a change in power consumption has occurred at the current time.

  If it is not determined that a change in power consumption has occurred, the determination process for the current time is terminated. On the other hand, if it is determined that a change in power consumption has occurred, the process advances to step S1402.

  In step S1402, "1" which is an initial value is substituted for the elapsed days K. In step S1403, the determination unit 705 determines whether K days have elapsed from the current time.

  If it is determined in step S1403 that the K day has not elapsed, the process waits until it is determined that the K day has elapsed. On the other hand, if it is determined that K days have elapsed, the process proceeds to step S1404.

  In step S <b> 1404, the determination unit 705 acquires, from the state change degree calculation unit 704, the state change degree for the current time when K days have elapsed from the current time for the target time data.

  In step S1405, the determination unit 705 determines whether the state change degree acquired in step S1404 is equal to or greater than a predetermined threshold value. If it is determined in step S1405 that it is not equal to or greater than the predetermined threshold value, the process proceeds to step S1406.

  In step S1406, the determination unit 705 determines that the change in power consumption at the current time is due to the occurrence of a temporary abnormality only at that time.

  On the other hand, if it is determined in step S1405 that the threshold value is equal to or greater than the predetermined threshold, the process proceeds to step S1407.

  In step S1407, the determination unit 705 determines that the change in power consumption at the current time is due to the occurrence of a state change.

  In step S1501 of FIG. 15, the determination unit 705 acquires, from the state change degree calculation unit 704, the state change degree for the current time when K days have elapsed from the current time for the first target time variation rate data. .

  In step S1502, the determination unit 705 determines whether the state change degree acquired in step S1501 is greater than or equal to a predetermined threshold. If it is determined in step S1502 that it is not equal to or greater than the predetermined threshold, the process advances to step S1503.

  In step S1503, the determination unit 705 determines that the change in the fluctuation rate R1 at the current time is due to the occurrence of a temporary abnormality only at that time.

  On the other hand, if it is determined in step S1502 that the value is equal to or greater than the predetermined threshold value, the process proceeds to step S1504.

  In step S1504, the determination unit 705 determines that the change in the variation rate R1 at the current time is due to the occurrence of a state change.

  In step S <b> 1505, the determination unit 705 acquires, from the state change degree calculation unit 704, the state change degree for the current time when K days have elapsed from the current time for the second target time variation rate data.

  In step S1506, the determination unit 705 determines whether the state change degree acquired in step S1505 is greater than or equal to a predetermined threshold. If it is determined in step S1506 that it is not equal to or greater than the predetermined threshold value, the process proceeds to step S1507.

  In step S1507, the determination unit 705 determines that the change in the fluctuation rate R2 at the current time is due to the occurrence of a temporary abnormality only at that time.

  On the other hand, if it is determined in step S1506 that the threshold is equal to or greater than the predetermined threshold, the process proceeds to step S1508.

  In step S1508, the determination unit 705 determines that the change in the variation rate R2 at the current time is due to the occurrence of a state change.

  In step S1509, the determination unit 705 determines whether or not the number of elapsed days K is equal to or less than a predetermined threshold (= M−1, for example, M = 5).

  If it is determined in step S1509 that the number of elapsed days K is equal to or less than the predetermined threshold, the process proceeds to step S1510. In step S1510, the determination unit 705 increments the elapsed days K, and then returns to step S1403. Thus, the processing from step S1403 to step S1508 is repeated for the power consumption, the fluctuation rate R1, and the fluctuation rate R2 at the current time until the elapsed days K exceed a predetermined threshold.

  On the other hand, if it is determined in step S1509 that the number of elapsed days has exceeded a predetermined threshold, the determination process ends.

  Next, the transition of the state change degree with respect to the number of days K elapsed since the change in power consumption will be described. FIG. 16 is a diagram illustrating the transition of the degree of state change with respect to the number of days elapsed since the change in power consumption occurred.

  In FIG. 16, the horizontal axis indicates the number of days that have elapsed since the change in power consumption occurs, and the vertical axis indicates the degree of state change. Here, the transition of the state change degree calculated based on the target time data will be described (the same applies to the first target time fluctuation rate data and the second target time fluctuation rate data. Is omitted).

  As shown in FIG. 16, the state change degree calculated by the state change degree calculation unit 704 at the time when the change in power consumption occurs is 0.5, and then changes every time the Smirnov-Grubbs test is performed. Go.

  Specifically, by performing the Smirnov-Grubbs test at the same time one day after the current time when the change in power consumption occurs, if it is determined again as a statistical outlier, the state change The degree is less than 0.5. Furthermore, by performing the Smirnov-Grubbs test at the same time two days later, if it is determined again that it is a statistical outlier, the degree of state change is further reduced (see the black squares in FIG. 16).

  As described above, when the power consumption data at the current time when the power consumption change is continuously determined to be a statistical outlier, the state change degree approaches zero. As a result, it can be determined that the change in power consumption is due to the occurrence of a temporary abnormality only at that time.

  On the other hand, when the Smirnov-Grubbs test is performed at the same time one day after the current time at which the change in power consumption occurs, when it is determined that it is not a statistical outlier, the degree of state change is from 0.5 growing. Furthermore, when the Smirnov-Grubbs test is performed at the same time two days later, and it is determined that it is not a statistical outlier, the state change degree is further increased (see the white squares in FIG. 16).

  As described above, regarding the power consumption data at the current time when the power consumption change occurs, the state change degree approaches 1 when the determination that the data is a statistical outlier is subsequently eliminated. As a result, it can be determined that the change in power consumption at the current time is due to the occurrence of a state change.

  Next, the determination result notified by the determination result notification unit 104 together with the time series data and displayed on the display device 110 will be described. FIG. 17 is a diagram illustrating an example of the determination result notified by the determination result notification unit.

  As shown in FIG. 17, the time series data notified by the determination result notification unit 104 is displayed on the display device 110. Specifically, time-series data of power consumption for a predetermined number of days is displayed.

  Further, the determination result notified by the determination result notification unit 104 is displayed on the display device 110 in association with the time-series data. More specifically, the state change degree at each time of the time series data operates in a linear region arranged at a position corresponding to each time of the time series data according to the magnitude of the state change (identifier). Is plotted as

  In FIG. 17, points plotted in association with time-series data indicate the degree of state change. As described above, since the state change degree is a value between 0 and 1.0, the state change degree at each time is plotted at a position corresponding to the scale shown at the right end of FIG.

  As described with reference to FIG. 16, the state change degree becomes 0.5 when the change in power consumption occurs, but thereafter approaches 0 or 1 as the number of days elapses. Therefore, as shown in FIG. 17, points indicating the degree of state change in the range from 0 to 1 are plotted.

  As described above, the display device 110 displays the state change degree in addition to the time series data of the power consumption. For this reason, when the latest time-series data is displayed, the person in charge of power management of the power control device 120 confirms whether or not the point indicating the state change degree is plotted, so that a change in power consumption occurs. It can be immediately recognized whether or not.

  Also, after the points representing the degree of state change are plotted, the points representing the degree of state change are plotted by monitoring whether the point approaches 1 or 0. It can be judged whether it was a thing.

  The enlarged display 1701 in FIG. 17 shows an example in which it is determined that a change in power consumption has occurred, and then the state change degree becomes 1.0 as the number of days passes. In this case, the person in charge of power management recognizes that a change in power consumption has occurred at the time when a point representing the degree of state change is plotted. Thereafter, when the number of days elapses, the person in charge of power management can recognize that the change in power consumption is due to the occurrence of a state change.

  On the other hand, the enlarged display 1702 in FIG. 17 shows an example in which it is determined that a change in power consumption has occurred, and the state change degree approaches 0 as the number of days elapses thereafter. In this case, the person in charge of power management recognizes that a change in power consumption has occurred at the time when a point representing the degree of state change is plotted. Thereafter, when the number of days elapses, the person in charge of power management can recognize that the change in power consumption is due to the occurrence of a temporary abnormality only at that time.

  As is clear from the above description, in the present embodiment, based on the time series data of power consumption, it is determined whether or not the power consumption data at the current time is a statistical outlier, and is a statistical outlier. Is determined, it is determined that a change in power consumption has occurred.

  In this way, according to the power consumption monitoring apparatus according to the present embodiment, the determination is based on the power consumption data at the current time instead of the determination based on the entire fluctuation pattern of the daily fluctuation of the power consumption. It becomes possible to detect a sign of a state change earlier.

  Further, in the power consumption monitoring apparatus according to the present embodiment, when it is determined that the statistical outlier is detected, the statistical outlier is monitored by monitoring how long the determination that the statistical outlier continues thereafter. It is determined whether or not the determination that there is is due to the occurrence of a state change.

  Thereby, according to the power consumption monitoring apparatus according to the present embodiment, whether the change in power consumption is due to the occurrence of a state change or a temporary abnormality that occurs only at that time, changes Can be determined.

[Second Embodiment]
In the first embodiment, the determination data generation unit 102 generates target time data, first target time variation rate data, and second target time variation rate data as determination data. However, the combination of determination data used for determining whether or not a change in power consumption has occurred is not limited to this. For example, the presence or absence of a change in power consumption may be determined using one or two of the determination data. Alternatively, it may be determined whether or not a change in power consumption has occurred using determination data other than these.

  In the first embodiment, the fluctuation rate per hour is used as the first target time fluctuation rate data. However, the first target time fluctuation rate data is not limited to the fluctuation rate per hour. . Similarly, in the first embodiment, the fluctuation rate per two hours is used as the second target time fluctuation rate data. However, the second target time fluctuation rate data is limited to the fluctuation rate per two hours. Not.

  In the first embodiment, when the determination data generation unit 102 generates the target time data, the first target time variation rate data, and the second target time variation rate data, the data for the past 18 days are generated. Using. However, the range used for generating the determination data is not limited to this, and may be longer or shorter than 18 days.

  Moreover, in the said 1st Embodiment, although the period which calculates a state change degree was made until 4 days passed from the present time, the period which calculates a state change degree is until 4 days pass from the present time. It is not limited to. Moreover, in the said 1st Embodiment, although it did not specifically limit about the threshold value at the time of determining a state change degree, the threshold value in determining a state change degree can be set to 0.5, for example.

  Moreover, in the said 1st Embodiment, it was determined whether it was a statistical outlier by performing a Smirnov-Grubbs test. However, the test used for determining whether or not a statistical outlier is not limited to the Smirnov-Grubbs test, and other test methods may be used.

  In the first embodiment, the determination result transmitted from the power consumption monitoring device 100 to the display device 110 indicates that a change in power consumption has occurred by plotting. In addition, the state change degree is expressed by a position where points are plotted. However, the display mode of information indicating that a change in power consumption has occurred and the display mode of the state change degree are not limited to this. Moreover, although the display mode about the attribute of change (whether it is due to the occurrence of a state change or due to the occurrence of a temporary abnormality only in that time) is not particularly mentioned in the determination result, for example, the points to be plotted You may make it express by changing the color or shape of.

  In the first embodiment, no particular reference is made to the plotting method when it is determined that a change in power consumption has occurred in each determination data. For example, the plotting is performed with priorities. May be. Specifically, among the determination data, it is determined that a change in power consumption has occurred in each of the target time data and the second target time fluctuation rate data, and the state change degrees calculated in the respective data are different. . In this case, for example, the state change degree calculated in the target time data may be preferentially plotted.

  In the first embodiment, the power consumption monitoring device 100 has been described as being disposed in the vicinity of the display device 110 and the power control device 120. However, the power consumption monitoring device 100 may be connected to the display device 110 and the power control device 120 via a network, and may be disposed remotely with respect to the display device 110 and the power control device 120.

In addition, in the disclosed technology, forms such as the following supplementary notes are conceivable.
(Appendix 1)
In the data distribution including the power consumption data associated with the current time and the power consumption data of other days associated with the same time as the current time, the power consumption data associated with the current time is A determination unit for determining whether or not the predetermined range is exceeded;
A data processing apparatus comprising: a notification unit that notifies that the determination unit determines that the determination unit is out of a predetermined range.
(Appendix 2)
The determination unit further includes:
It includes data on the fluctuation rate from a predetermined time before the power consumption associated with the current time, and data on the fluctuation rate from a predetermined time before the power consumption on another day associated with the same time as the current time. In the data distribution, it is determined whether or not the data of the fluctuation rate from the predetermined time before the power consumption associated with the current time is out of the predetermined range,
The notification unit
Supplementary note 1 notifying that it is determined that the power consumption data is out of a predetermined range, or that the fluctuation rate data is determined to be out of a predetermined range. The data processing apparatus described.
(Appendix 3)
It includes data on the fluctuation rate from a predetermined time before the power consumption associated with the current time, and data on the fluctuation rate from a predetermined time before the power consumption on another day associated with the same time as the current time. In the data distribution, a determination unit that determines whether or not the data of the fluctuation rate from the predetermined time before the power consumption associated with the current time is out of the predetermined range;
A data processing apparatus comprising: a notification unit that notifies that the determination unit determines that the determination unit is out of a predetermined range.
(Appendix 4)
Consumption associated with the current time in a data distribution that includes data according to the power consumption associated with the current time and data according to the power consumption of other days associated with the same time as the current time A determination unit that determines whether data corresponding to power is out of the predetermined range;
A data processing apparatus comprising: a notification unit that notifies that the determination unit determines that the determination unit is out of a predetermined range.
(Appendix 5)
The determination unit
The data processing apparatus according to claim 1, wherein in the data distribution, it is determined whether or not the data corresponds to a statistical outlier, thereby determining whether or not the data is out of the predetermined range.
(Appendix 6)
The determination unit
When it is determined that the current time is out of the predetermined range, the current time is associated with the current time based on the data distribution including the power consumption data associated with the same time on the day after the day to which the current time belongs. Calculate the number of times the power consumption data is determined to be out of the specified range,
The data processing apparatus according to appendix 5, wherein a state change degree indicating a degree of continuing a determination result that the determination result is out of the predetermined range is calculated based on the calculated number of times.
(Appendix 7)
The notification unit
6. The data processing apparatus according to claim 5, wherein the state change degree is notified in association with time-series data in which the power consumption data and time are associated with each other.
(Appendix 8)
The notification unit
Supplementary note 7 characterized in that the state change degree is notified by plotting an identifier that operates according to the state change degree in a linear region arranged at a position corresponding to each time of the time series data. The data processing apparatus described.
(Appendix 9)
On the computer,
In the data distribution including the power consumption data associated with the current time and the power consumption data of other days associated with the same time as the current time, the power consumption data associated with the current time is Determine if it is out of range,
Notifying that it has been determined that it is out of the predetermined range;
A data processing program for executing a process.
(Appendix 10)
In the data distribution including the power consumption data associated with the current time and the power consumption data of other days associated with the same time as the current time, the power consumption data associated with the current time is Determine if it is out of range,
Notifying that it has been determined that it is out of the predetermined range;
A data processing method, wherein a computer executes a process.

  Note that the present invention is not limited to the configurations shown here, such as combinations with other elements, etc., in the configurations described in the above embodiments. These points can be changed without departing from the spirit of the present invention, and can be appropriately determined according to the application form.

100: power consumption monitoring device 101: time-series data acquisition unit 102: determination data generation unit 103: power consumption determination unit 104: determination result notification unit 110: display device 120: power control device 140: monitoring systems 601, 611, 621 : Target time data 602, 612, 622: first target time fluctuation rate data 603, 613, 623: second target time fluctuation rate data 701: data verification unit 702: change occurrence presence / absence judgment unit 703: outlier calculation Unit 704: State change degree calculation unit 705: Determination unit

Claims (8)

In the data distribution including the power consumption data associated with the current time and the power consumption data of other days associated with the same time as the current time, the power consumption data associated with the current time is A determination unit for determining whether or not the predetermined range is exceeded;
A data processing apparatus comprising: a notification unit that notifies that the determination unit determines that the determination unit is out of a predetermined range. The determination unit further includes:
It includes data on the fluctuation rate from a predetermined time before the power consumption associated with the current time, and data on the fluctuation rate from a predetermined time before the power consumption on another day associated with the same time as the current time. In the data distribution, it is determined whether or not the data of the fluctuation rate from the predetermined time before the power consumption associated with the current time is out of the predetermined range,
The notification unit
The notification that the data of the power consumption is determined to be out of a predetermined range or that the data of the fluctuation rate is determined to be out of a predetermined range is notified. The data processing apparatus described in 1. The determination unit
The data processing apparatus according to claim 1, wherein in the data distribution, it is determined whether or not the data corresponds to a statistical outlier, thereby determining whether or not the data is out of the predetermined range. . The determination unit
When it is determined that the current time is out of the predetermined range, the current time is associated with the current time based on the data distribution including the power consumption data associated with the same time on the day after the day to which the current time belongs. Calculate the number of times the power consumption data is determined to be out of the predetermined range,
The data processing apparatus according to claim 1, wherein a state change degree indicating a degree of continuing a determination result that the determination result is out of the predetermined range is calculated based on the calculated number of times. The notification unit
The data processing apparatus according to claim 4, wherein the state change degree is notified in association with time-series data in which the power consumption data and time are associated with each other. The notification unit
6. The state change degree is notified by plotting an identifier that operates in accordance with the state change degree in a linear region arranged at a position corresponding to each time of the time series data. The data processing apparatus described in 1. On the computer,
In the data distribution including the power consumption data associated with the current time and the power consumption data of other days associated with the same time as the current time, the power consumption data associated with the current time is Determine if it is out of range,
Notifying that it has been determined that it is out of the predetermined range;
A data processing program for executing a process. In the data distribution including the power consumption data associated with the current time and the power consumption data of other days associated with the same time as the current time, the power consumption data associated with the current time is Determine if it is out of range,
Notifying that it has been determined that it is out of the predetermined range;
A data processing method, wherein a computer executes a process.

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