JP2012113598A - Schedule management device, schedule management program, and schedule management method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a technique for assisting a user to accurately take action according to plans of a schedule.SOLUTION: A schedule information acquisition part 111 acquires schedule information on the user. An electric power information acquisition part 112 acquires information on a power consumption, measured at an outlet 30, of an electric apparatus that the user uses. A learning part 15 finds regularity associated with correspondence between the plans of the schedule and the state of power consumption from past schedule information and information on a power consumption measured in the past. A regularity information storage part 16 stores information on the regularity. A collation and determination part 17 determines whether correspondence between a current plan of the schedule and the state of measured current power consumption matches the regularity stored in the regularity information storage part 16. A notification part 18 sends notice associated with plans of the schedule to the information apparatus 40 that the user uses when it is determined that the correspondence does not match the regularity.

Description

  The present invention relates to a schedule management device, a schedule management program, and a schedule management method that support actions based on a user's schedule.

  An increasing number of people use the scheduler to understand their own schedules and inform them of their presence. The scheduler is an application that manages schedules on a computer. In recent years, there are various schedulers characterized by a user interface such as an input method and a schedule display method.

  The user writes a schedule in his / her schedule using the scheduler and acts according to the schedule of the schedule. However, in practice, even if the scheduler writes a schedule on its own schedule, it may forget the schedule, or it may act while forgetting to write the schedule on the schedule. Thus, there is a problem that even if the scheduler is used, the user's schedule is not sufficiently managed.

  A technique for managing the presence of a user according to the operation status of a personal computer such as the user's power on / off, logon status, and user's no operation time is known. In this technology, a technology has also been proposed in which the presence history and the schedule according to the operation status of the personal computer are linked to predict the content of the user's absence. In addition, the history information on the on / off of the power supply of the electric device by the person is accumulated, the regularity of the predetermined action time of the person is detected from the history information, the predetermined action time of the next person is predicted, and automatically A technique for controlling on / off of a power source of an electric device is known. There is also known a technique for estimating the current situation of the user and the future situation from the schedule and controlling the power supply of the portable information processing apparatus.

JP 2002-014923 A JP 2006-303898 A JP 2001-100870 A

  In the above-described technology for managing the presence of a user according to the operation status of the personal computer, the presence history of the user according to the operation status of the personal computer and the schedule are linked to predict the content of the user's absence. However, it is difficult to categorize the behaviors of various users based on the PC operating status such as power on / off, logon status, and no operation status. Cannot be predicted flexibly. In addition, since this technology is not a technology that supports user schedule management, this technology prevents the user from forgetting the schedule written in the schedule and prevents the user from forgetting to write in the schedule. It is not possible.

  In addition, the technology for predicting the next action time of the next person from the above-mentioned history information on the power on / off of the electric equipment by the person is based on the past power on / off situation of the electric equipment by the person in the future. Predict human behavior. However, with this technology, it is not possible to estimate whether the user is acting as scheduled. For this reason, this technique cannot prevent the user from forgetting the schedule written in the schedule or prevent the user from forgetting to write in the schedule.

  The technology for estimating the user's situation from the schedule and controlling the power supply of the portable information processing apparatus is a technology for estimating the user's situation from the schedule. With this technology, it is impossible to estimate whether the user is acting as scheduled. For this reason, this technique cannot prevent the user from forgetting the schedule written in the schedule or prevent the user from forgetting to write in the schedule.

  In addition, there is a technique to notify the user that the scheduled time has been reached by an alarm when the scheduled time arrives, but even if the user has already taken action, the alarm will sound. There is no meaning. If such a meaningless alarm is repeated, the user's attention to the alarm is reduced, and eventually the effect of the alarm notification is reduced.

  From this situation, it is possible to prevent the user from forgetting the schedule written in the schedule, and to prevent the user from forgetting to write in the schedule so that the user can perform an accurate action based on the schedule of the schedule. There is a need for technology that effectively implements support such as

  An aspect of the disclosed technology aims to solve the above-described problem and provide a technology that supports a user to act accurately based on a schedule.

  The schedule management device to be disclosed includes a power information acquisition unit that acquires information on power consumption of electric devices used by a user, a schedule information acquisition unit that acquires user schedule information, and power consumption measured in the past. Information and the statistics using the user's past schedule information, a learning unit that obtains regularity on the correspondence between the schedule in the user's schedule and the power consumption status, and rule information that stores regularity information Collation to determine whether the correspondence between the storage unit and the current schedule obtained from the user's schedule information and the measured current power consumption matches the regularity stored in the rule information storage unit A determination unit, and a notification unit that notifies the information device used by the user about the schedule of the schedule when it is determined that they do not match

  With the disclosed technology, it is possible to support the user to be able to act accurately based on the schedule. For example, this technique makes it possible to estimate that the user has forgotten the schedule written in the schedule or that the user has forgotten to write the schedule in the schedule, and to support the prevention.

It is a figure which shows the structural example of the schedule management apparatus by this Embodiment. It is a figure which shows the structural example of the hardware which implement | achieves the schedule management apparatus by this Embodiment. It is a figure which shows the structural example of the data stored in the outlet information storage part by this Embodiment. It is a figure which shows the structural example of the data stored in the user information storage part by this Embodiment. It is a figure which shows the example of the user's schedule by this Embodiment. It is a figure which shows the example of the graph of the power consumption measured with the outlet socket of this Embodiment. It is a figure which shows the structural example of the data stored in the tied | linking management information storage part by this Embodiment. It is a figure which shows the structural example of the data stored in the rule information storage part by this Embodiment. It is a figure explaining the example of the extraction of the condition of the power consumption corresponding to the schedule of a schedule. It is a figure explaining the example which calculates | requires the regularity of a response | compatibility with the schedule in a schedule, and the condition of power consumption from the statistics of the condition of power consumption collected. It is a learning process flowchart by the learning part of this Embodiment. It is the collation determination / notification process flowchart by the collation determination part and notification part of this Embodiment.

  Hereinafter, the present embodiment will be described with reference to the drawings.

  FIG. 1 is a diagram illustrating a configuration example of a schedule management apparatus according to the present embodiment.

  A schedule management apparatus 10 shown in FIG. 1 is an apparatus that supports user schedule management by a computer. The schedule management device 10 includes a schedule information / power information integration unit 11, an outlet information storage unit 12, a user information storage unit 13, a schedule information / power information DB (DataBase) 14, a learning unit 15, a rule information storage unit 16, and a collation determination. Unit 17 and notification unit 18.

  The schedule information / power information integration unit 11 acquires schedule information and power information, and links schedule information and power information that are related to each other. The schedule information is information related to the schedule for each user. The power information is information related to the power consumption of the electrical equipment used by the user. The schedule information / power information integration unit 11 includes a schedule information acquisition unit 111 and a power information acquisition unit 112.

  The schedule information acquisition unit 111 acquires user schedule information. The schedule information acquisition unit 111 illustrated in FIG. 1 acquires the schedule information of each user from the scheduler 20. The timing for acquiring the schedule information and the acquisition unit of the schedule information are arbitrary. For example, the schedule information acquisition unit 111 acquires schedule information for one day of the day every 10 minutes.

  The scheduler 20 is an application that manages a user's schedule. The scheduler 20 is, for example, a scheduler 20 for information devices used by each user. At this time, the schedule information acquisition unit 111 acquires the schedule information of each user from the storage unit of the schedule information managed by the scheduler 20 of each information device. For example, when the schedule of users who are employees is centrally managed on a company server, the scheduler 20 is the scheduler 20 of a server that manages the schedules of a plurality of users. At this time, the schedule information acquisition unit 111 acquires the user's schedule information from the schedule information storage unit managed by the scheduler 20 of the server.

  The power information acquisition unit 112 acquires power information that is information on the power consumption of the electrical equipment used by the user. The power information acquisition unit 112 illustrated in FIG. 1 collects power information from the outlet 30 that is a power supply unit. The timing for acquiring the power information and the unit for acquiring the power information are arbitrary. For example, the power information acquisition unit 112 acquires information on power consumption measured at that time every 10 seconds.

  An outlet 30 shown in FIG. 1 is an outlet to which a power sensor for sensing electric power is attached. The power sensor attached to the outlet 30 measures the power supplied from the outlet 30 which is a power supply unit, that is, the power consumption of the used electric equipment. The outlet 30 with the power sensor has a communication function such as Ethernet, USB, and wireless. Using these communication functions, the power information acquisition unit 112 collects power information from each outlet 30. As a device including the outlet 30 with the power sensor, for example, a power strip having a plurality of outlets 30 can be considered.

  In recent years, power saving in offices has become more important. For this reason, technology is being developed to monitor the power consumption of electrical equipment used in offices, etc., to grasp the usage status of power, and to reduce wasteful power consumption.

  For example, in an office where such power monitoring technology is introduced, a server that centrally manages power information in the office collects and holds power information from each outlet 30 with a power sensor installed in the office. Cases are considered. In such a case, the power information acquisition unit 112 can also acquire power information in each outlet 30 from a server that centrally manages power in the office.

  For example, it is also possible to provide a power sensor on the electric device side, measure the electric power consumption of the electric device by itself, and collect information on the electric power consumption measured using the communication function of the electric device. is there. However, it is difficult to provide a power measurement function and a communication function for all kinds of electrical equipment. By making the power supply unit such as the outlet 30 measure the power consumption and collecting the power information, it is possible to collect the power consumption information about the electric device having no power measurement function or communication function. It is easier to have a power measurement function and a communication function in a power supply unit commonly used by each electric device, compared to having all electric devices have a power measurement function and a communication function.

  The schedule information / power information integration unit 11 refers to the outlet information stored in the outlet information storage unit 12 and the user information stored in the user information storage unit 13, and links the acquired schedule information with the power information. Attach. In the present embodiment, the schedule information / power information integration unit 11 links the acquired schedule information and power information for each user and each date.

  The outlet information storage unit 12 is a storage unit that stores outlet information and is accessible by a computer. The outlet information is information regarding each outlet 30. In the present embodiment, a target outlet 30 for measuring power consumption is assigned to each user. In the outlet information, for each outlet 30, information on assigned users, information on electric devices to be connected to a power source, and the like are recorded.

  The user information storage unit 13 is a storage unit that stores user information and is accessible by a computer. User information is information about each user. In the user information, information for identifying a user's schedule, information on a notification destination, and the like are recorded for each user.

  The schedule information / power information integration unit 11 stores the acquired schedule information, the acquired power information, and information in which the schedule information and the power information are linked in the schedule information / power information DB 14.

  The schedule information / power information DB 14 is a storage unit that is accessible by a computer and stores information such as schedule information, power information, and association management information. The schedule information / power information DB 14 includes a schedule information storage unit 141, a power information storage unit 142, and an association management information storage unit 143.

  The schedule information storage unit 141 is a storage unit that stores schedule information and is accessible by a computer. In the schedule information storage unit 141 shown in FIG. 1, the schedule information is managed as one data for each user and for each date.

  The schedule information is changed as needed due to the user's schedule change. In the present embodiment, for example, schedule information for the day is acquired every 10 minutes by the schedule information acquisition unit 111, and the corresponding user and the schedule information for the corresponding date in the schedule information storage unit 141 are updated accordingly.

  The power information storage unit 142 is a storage unit that stores power information and is accessible by a computer. In the power information storage unit 142 shown in FIG. 1, the power information is managed as one data for each outlet 30 and for each date.

  In the present embodiment, for example, power information about power consumption at that time is acquired every 10 seconds by the power information acquisition unit 112, and the acquired power information is the corresponding outlet and the corresponding date of the power information storage unit 142. Added to the power information.

  The association management information storage unit 143 is a computer-accessible storage unit that stores association management information. The association management information is information indicating association between schedule information and power information. The association management information shown in FIG. 1 records information indicating association between schedule information and power information for each user and for each date.

  For each user, the learning unit 15 determines the schedule in the user's schedule from the statistics using the power consumption information measured in the past of the electrical equipment used by the user and the user's past schedule information. The regularity about correspondence with the situation of the power consumption of the electric equipment which the user used is calculated | required. The learning unit 15 stores the obtained regularity information in the rule information storage unit 16.

  The rule information storage unit 16 is a storage unit that stores rule information and is accessible by a computer. The rule information is information indicating the regularity about the correspondence between the schedule in the schedule and the power consumption status used for each user, which is obtained by the learning unit 15.

  For example, it is assumed that the learning unit 15 obtains regularity regarding a correspondence between the schedule in the schedule and the power consumption state of the used electric device for a certain user. The learning unit 15 obtains information on the association relationship between the past schedule information of the user and the past power information from the association management information stored in the association management information storage unit 143. The learning unit 15 acquires schedule information and power information of the corresponding user associated with each other from the schedule information storage unit 141 and the power information storage unit 142, respectively.

  The learning unit 15 determines the schedule of the corresponding user from the past schedule information and past power information of the associated user, and the power consumption of the electrical equipment used by the user at the scheduled time. To collect the situation. The learning unit 15 statistically analyzes the relationship between the collected schedule schedule and the power consumption status, and determines the regularity of the correspondence between the schedule in the schedule and the power consumption status of the electrical equipment used. Ask. The learning unit 15 stores the obtained regularity information in the rule information storage unit 16.

  The learning unit 15 performs such regular learning at a predetermined timing. For example, the learning unit 15 performs regularity learning at the timing when the date changes. At this time, the range of the past schedule information and power information to be learned is arbitrary. For example, the learning unit 15 sets schedule information and power information for one month in the vicinity as subjects for regularity learning.

  The collation determination unit 17 stores in the rule information storage unit 16 the correspondence between the current schedule obtained from the user's schedule information and the current power consumption state measured for the electrical equipment used by the user. It is determined whether it matches the regularity.

  For example, it is assumed that the collation determination unit 17 determines, for a certain user, whether the correspondence between the schedule in the current schedule and the measured current power consumption state matches the regularity of the corresponding user. The collation determination unit 17 obtains information on the association relationship between the current schedule information of the user and the current power information from the association management information stored in the association management information storage unit 143. The collation determination unit 17 acquires the current schedule information and the current power information of the associated user from the schedule information storage unit 141 and the power information storage unit 142, respectively. Further, the collation determining unit 17 acquires regularity information about the user from the rule information stored in the rule information storage unit 16.

  The collation determination unit 17 extracts the current schedule of the corresponding user from the acquired current schedule information. Moreover, the collation determination part 17 acquires the measured current power consumption from the acquired current power information. In general, a certain time range is allowed in the present time expression. For example, the collation determination unit 17 may extract a schedule and power consumption five minutes ago as the current schedule and power consumption. Further, for example, the collation determination unit 17 may obtain an average value of power consumption measured in the immediately preceding minute as the current power consumption.

  The collation determination unit 17 determines whether the correspondence between the extracted current schedule and the extracted current power consumption state matches the acquired regularity. For example, the collation determination unit 17 determines that the correspondence between the current schedule and the extracted current power consumption situation matches when a predetermined condition based on regularity is satisfied.

  The notification unit 18 notifies the information device 40 used by the user of the schedule schedule when it is determined by the collation determination unit 17 that they do not match. The user information device 40 is, for example, a PC (Personal Computer) or a mobile phone used by the user. In the user information stored in the user information storage unit 13, a mail address, an IP (Internet Protocol) address, and the like of the information device 40 as a notification destination are recorded for each user. The notification regarding the schedule of the schedule is, for example, a notification notifying that there is a possibility that the schedule is forgotten or a notification notifying that the input of the schedule to the schedule may be forgotten.

  FIG. 2 is a diagram illustrating a configuration example of hardware for realizing the schedule management apparatus according to the present embodiment.

  1 includes, for example, a CPU (Central Processing Unit) 2, a main memory 3, a storage device 4, a communication device 5, a medium reading / writing device 6, and an input device. 7 and the computer 1 having the output device 8 and the like. The storage device 4 is, for example, an HDD (Hard Disk Drive). The medium reading / writing device 6 is, for example, a CD-R (Compact Disc Recordable) drive or a DVD-R (Digital Versatile Disc Recordable) drive. The input device 7 is, for example, a keyboard or a mouse. The output device 8 is a display, for example.

  The schedule management device 10 and each functional unit included in the schedule management device 10 illustrated in FIG. 1 can be realized by hardware such as the CPU 2 and the memory 3 included in the computer 1 and a software program. A program that can be executed by the computer 1 is stored in the storage device 4, read into the memory 3 at the time of execution, and executed by the CPU 2.

  The computer 1 can also read a program directly from a portable recording medium and execute processing according to the program. The computer 1 can also sequentially execute processing according to the received program every time the program is transferred from the server computer. Further, this program can be recorded on a recording medium readable by the computer 1.

  FIG. 3 is a diagram illustrating a configuration example of data stored in the outlet information storage unit according to the present embodiment.

  The outlet data 120 shown in FIG. 3 is an example of outlet information stored in the outlet information storage unit 12. The outlet data 120 has information such as an outlet ID, a user ID, and an electric device.

  The outlet ID is identification information for uniquely identifying the outlet 30 that is a power supply unit. A power sensor for measuring the power supplied to the electric equipment connected to the power source, that is, the power consumption of the electric equipment, is attached to the outlet 30 in which data is recorded in the outlet data 120 of FIG.

  The user ID is identification information that uniquely identifies the user. The user ID in the outlet data 120 of FIG. 3 is a user ID of a user who is assigned to use the outlet 30. In the present embodiment, in order to be able to specify the power consumption of the electric equipment used by the user, one or more outlets 30 for connecting the electric equipment used by the user to the power source are allocated in advance for each user. It has been.

  In the outlet data 120 shown in FIG. 3, the electric device indicates an electric device connected to the corresponding outlet 30. The learning unit 15 is required to have regularity based on the state of power consumption measured at the outlet 30 in the past. Therefore, the user uses the same electrical equipment connected to the same outlet 30 as much as possible. In the outlet data 120 shown in FIG. 3, the correspondence between the electrical equipment used by the user and the outlet 30 to which the electrical equipment is connected is registered in advance.

  FIG. 4 is a diagram illustrating a configuration example of data stored in the user information storage unit according to the present embodiment.

  User data 130 illustrated in FIG. 4 is an example of user information stored in the user information storage unit 13. The user data 130 has information such as a user ID, a schedule ID, and a notification destination (address).

  The user ID is identification information that uniquely identifies the user. The schedule ID is identification information for uniquely identifying the schedule. The schedule ID in the user data 130 in FIG. 4 is a schedule ID for specifying the schedule of the corresponding user. The notification destination is the mail address of the information device 40 registered as the notification destination of the corresponding user.

  FIG. 5 is a diagram showing an example of a user schedule according to the present embodiment.

  The schedule shown in FIG. 5 is, for example, a schedule registered in the scheduler 20 by a user whose user ID is “user01” in the user data 130 shown in FIG. The schedule information shown in FIG. 5 is converted into schedule information, and the schedule ID for identifying the schedule of the user with the user ID “user01” is the schedule ID “schedule01” in the user data 130 shown in FIG.

  In the schedule shown in FIG. 5, the hatched working hours from 9:00 to the leaving time 20:00 are the working hours of the user. In the schedule shown in FIG. 5, a schedule of three meetings is registered. Here, the meeting in the schedule indicates the schedule of discussions held in a place other than the company's own seat.

  FIG. 6 is a diagram illustrating an example of a graph of power consumption measured at the outlet according to the present embodiment.

  The power consumption graph shown in FIG. 6A is a graph of power consumption measured at the outlet 30 whose outlet ID is “outlet01” in the outlet data 120 shown in FIG. The power consumption graph shown in FIG. 6B is, for example, a power consumption graph measured at the outlet 30 whose outlet ID is “outlet02” in the outlet data 120 shown in FIG.

  As shown in the outlet data 120 of FIG. 3, the outlets 30 with the outlet IDs “outlet01” and “outlet02” are the outlets 30 assigned to the user with the user ID “user01”.

  As shown in the outlet data 120 of FIG. 3, a notebook PC is registered as an electrical device to be connected to the power source in the outlet 30 with the outlet ID “outlet01”. As much as possible, the user with the user ID “user01” uses the outlet 30 with the outlet ID “outlet01” as the outlet 30 dedicated to the power connection of the notebook PC. The graph of the power consumption shown in FIG. 6A is a graph showing the transition of the power consumption of the notebook PC used by the user with the user ID “user01” on one day.

  Further, as shown in the outlet data 120 of FIG. 3, an LCD (Liquid Crystal Display) is registered in the outlet 30 with the outlet ID “outlet02” as an electric device to be connected to the power source. As much as possible, the user with the user ID “user01” uses the outlet 30 with the outlet ID “outlet02” as the outlet 30 dedicated to the power connection of the LCD. The power consumption graph shown in FIG. 6B is a graph showing the transition of the power consumption of the LCD used by the user with the user ID “user01” on one day.

  The data obtained by converting each graph shown in FIG. 6 into data is the power information stored in the power information storage unit 142.

  FIG. 7 is a diagram illustrating a configuration example of data stored in the association management information storage unit according to the present embodiment.

  The association management data 145 illustrated in FIG. 7 is an example of association management information stored in the association management information storage unit 143. The association management data 145 has information such as a user ID, date, target schedule information, target power information (outlet ID).

  The user ID is identification information that uniquely identifies the user. The date is the date of schedule information and power information to be linked. In the association management data 145 shown in FIG. 7, schedule information and power information for one day are associated with each user and each date.

  The target schedule information is information for specifying schedule information on a corresponding date of the corresponding user. Examples of information specifying the schedule information include a file name of the schedule information and information indicating an area in which the schedule information is stored. In the association management data 145 shown in FIG. 7, for example, information for specifying schedule information is indicated by the file name of the corresponding schedule information.

  Each target power information (outlet ID) is information that specifies power information about power consumption measured at the outlet 30 indicated by the outlet ID on the corresponding date of the corresponding user. Examples of information specifying the power information include a file name of the corresponding power information and information indicating an area in which the corresponding power information is stored. In the association management data 145 shown in FIG. 7, for example, information for specifying power information is indicated by the file name of the corresponding power information.

  As shown in the outlet data 120 of FIG. 3, a plurality of outlets 30 are often assigned to one user. Therefore, as shown in the association management data 145 in FIG. 7, a plurality of pieces of power information are associated with one schedule information.

  When the schedule information / power information integration unit 11 acquires schedule information and power information and stores them in the schedule information / power information DB 14, the schedule information / power information integration unit 11 stores the schedule information / power information, etc. in the association management data 145 shown in FIG. 7. Record the information.

  FIG. 8 is a diagram illustrating a configuration example of data stored in the rule information storage unit according to the present embodiment.

  The rule data 160 illustrated in FIG. 8 is an example of rule information stored in the rule information storage unit 16. The rule data 160 has information such as a user ID, schedule, and outlet power status.

  The user ID is identification information that uniquely identifies the user. The schedule is scheduled to be used by the user in the schedule. The outlet power status is information indicating the power consumption status measured at each outlet 30 assigned to the user. In the outlet power status, “power consumption status” as a learning result is recorded for each outlet 30 indicated by “outlet ID”.

  In the rule data 160 shown in FIG. 8, the correspondence between the schedule and the outlet power status is the regularity of the correspondence between the schedule in the user's schedule and the measured power consumption status obtained by learning.

  Here, an example of learning the regularity of the correspondence between the schedule in the schedule and the measured power consumption status will be described.

  Here, the schedule of the user with the user ID “user01” shown in FIG. 5 and the graph of the power consumption measured at each outlet 30 assigned to the user with the user ID “user01” shown in FIG. Suppose that That is, the schedule time shown in FIG. 5 and the time of each power consumption graph shown in FIG. 6 coincide at the same time on the same day.

  As described above, the graph shown in FIG. 6A is a graph of power consumption measured at the outlet 30 to which the notebook PC is connected to the power source. That is, the graph shown in FIG. 6A shows the time transition of the power consumption of the notebook PC used by the user. Further, as described above, the graph shown in FIG. 6B is a graph of power consumption measured at the outlet 30 to which the LCD is connected to the power source. That is, the graph shown in FIG. 6B shows the time transition of the power consumption of the LCD used by the user.

  In the schedule shown in FIG. The user connects the notebook PC and the LCD after work and turns on the respective power supplies. Looking at the graph of the notebook PC shown in FIG. 6A, the power consumption of the notebook PC, which was approximately 0 W until around 9:00, has increased to about 20 W after 9:00. In addition, in the LCD graph shown in FIG. 6B, the power consumption of the LCD, which was approximately 0 W until around 9:00, has increased to about 25 W after 9:00.

  In the schedule shown in FIG. 5, meetings are scheduled at 9:40 to 11:00, 13:30 to 15:00, and 16: 0 to 17:00. This user decides to bring the notebook PC to the meeting place at the time of the meeting.

  Looking at the graph of the notebook PC shown in FIG. 6A, the power consumption is almost zero in accordance with the meeting time. This indicates that the user has removed the power plug of the notebook PC from the outlet 30. In addition, when viewing the LCD graph shown in FIG. 6B, the power consumption is greatly reduced to about 4 W in accordance with the meeting time. This indicates that the user has disconnected the LCD from the outlet 30 without disconnecting the power source of the LCD, so that the LCD screen disappears and the LCD enters a standby state waiting for a signal.

  Looking at the graph of the notebook PC shown in FIG. 6A, the power consumption of the notebook PC is about 20 W although it is unstable except for the meeting time in the schedule. This shows a state where the user normally uses the notebook PC at his / her seat. That is, the normal use power of the notebook PC is about 20 W, which is a little wider. Further, when viewing the LCD graph shown in FIG. 6B, the power consumption of the LCD is about 25 W, which is almost stable, except for the meeting time in the schedule. This indicates a state in which the user normally uses the LCD at his / her seat. That is, the normal power consumption of the LCD is about 25W.

  In the user's schedule shown in FIG. 5, he leaves the office at 20:00. The user removes the power plug of the notebook PC or LCD from the outlet 30 when leaving work. Looking at the graph of the notebook PC shown in FIG. 6A, the power consumption of the notebook PC, which was about 20 W until around 20:00, has dropped to almost 0 W after 20:00. In addition, in the LCD graph shown in FIG. 6B, the power consumption of the LCD, which was about 25 W until about 20:00, has dropped to about 0 W after 20:00.

  Thus, there is a case where a certain regularity is seen in the relationship between the schedule in the user's schedule and the state of power consumption by the electric equipment used by the user. The learning unit 15 analyzes the relationship between the past schedule information and the power information using statistics, so that the rule between the schedule in the user's schedule and the power consumption status of the electric device used by the user is determined. Find sex.

  Here, it is assumed that the learning unit 15 obtains regularity of correspondence between the schedule in the user's schedule of the user ID “user01” and the power consumption status of the electric device used by the user.

  At this time, the learning unit 15 refers to the association management information stored in the association management information storage unit 143 and confirms the correspondence between the schedule information of the past date to be learned by the corresponding user and the power information. To do. The information to be learned is, for example, information for the past two weeks in the vicinity.

  The learning unit 15 combines the corresponding schedule information and power information, and extracts, for example, the state of power consumption measured at each outlet 30 at the scheduled time for each schedule in the schedule. Here, the learning unit 15 extracts the power consumption status measured at each outlet 30 for each specific schedule set in advance. Although regularity may be required for all schedules in the schedule, the user does not necessarily want a warning alert for all schedules.

  Here, it is assumed that the state of power consumption measured at the outlet 30 is extracted from the schedule of the meeting.

  FIG. 9 is a diagram for explaining an example of extraction of the power consumption status corresponding to the schedule of the schedule.

  The schedule shown in FIG. 9 is the schedule shown in FIG. The power consumption graph shown in FIG. 9 is a graph of the power consumption of the LCD shown in FIG. In FIG. 9, the schedule shown in FIG. 5 and the power consumption graph of the LCD shown in FIG. 6B are arranged so that the times correspond.

  The learning unit 15 extracts the meeting time in the schedule from the schedule information. In the schedule shown in FIG. 9, meetings are scheduled at 9:40 to 11:00, 13:30 to 15:00, and 16: 0 to 17:00.

  The learning unit 15 extracts the power consumption status during each meeting from the power information associated with the schedule information.

  For example, the learning unit 15 cuts out the power consumption in the meeting time 9:40 to 11:00 in the graph of the power consumption of the LCD shown in FIG. As shown in FIG. 9, the power consumption of the LCD during the meeting time 9: 40-11: 00 is reduced from the normal power consumption of about 25 W to about 4 W.

  Here, a situation where the power consumption has dropped from the normal power consumption to a predetermined ratio or more, but is not near 0 W, is a “significantly down” situation. The learning unit 15 is in a state where the power consumption is “substantially down” when the situation in which the power consumption has decreased to a predetermined rate or more from the normal power consumption continues in the segmented power consumption. Judge.

  Note that the normal power consumption can be specified from, for example, information on the electrical equipment connected to the outlet 30 recorded in the outlet data 120. For example, the normal power consumption of the LCD can be specified from the LCD specification. It is also possible to estimate the normal power usage from the power information. For example, in the graph of the power consumption of the LCD shown in FIG. 9, it can be estimated that the stable power consumption at a high position is the normal use power of the LCD.

  In FIG. 9, the power consumption of the LCD at 9:40 to 11:00 that is cut out lasts for the longest time when the power consumption is reduced from about 25 W to about 4 W. At this time, the learning unit determines that the state of power consumption of the LCD in the meeting time 9:40 to 11:00 is a state of significant down.

  The learning unit 15 similarly uses the power consumption measured by the outlet 30 other than the outlet 30 of the outlet ID “outlet02” assigned to the user ID “user01” to which the LCD is connected to the power supply. Extract the situation.

  In the present embodiment, the learning unit 15 combines the power consumption situations in the meeting hours 9:40 to 11:00 for all the outlets 30 assigned to the user with the user ID “user01”, and the meeting is performed. As a result of extracting the power consumption status in the schedule.

  The learning unit 15 collects the power consumption status according to the schedule of all meetings in each schedule from the correspondence between all schedule information to be learned and the power information. The learning unit 15 takes statistics of the collected power consumption status and obtains regularity of correspondence between the corresponding schedule in the schedule and the power consumption status.

  FIG. 10 is a diagram for explaining an example in which the regularity of correspondence between the schedule in the schedule and the power consumption status is obtained from the collected statistics of the power consumption status.

  FIG. 10 shows an example in which the combinations of the power consumption status for each outlet 30 are tabulated with respect to the scheduled meeting. For example, it is assumed that the number of appearances of each combination of the collected power consumption status combinations for each outlet 30 in the meeting schedule is as shown in FIG. For combinations other than the four combinations shown in FIG. 10, the number of appearances is assumed to be one or less.

  As shown in FIG. 10, the combination with the maximum number of appearances is the combination # 2 with the number of appearances of 15. Here, the learning unit 15 adopts the combination # 2 as the regularity of the power consumption status in the scheduled meeting by majority decision.

  Note that the statistical method for obtaining the regularity of the correspondence between the schedule in the schedule and the power consumption state is not limited to the method described here, and any method can be used.

  The learning unit 15 records the obtained regularity information in the rule information stored in the rule information storage unit 16. Here, the learning unit 15 registers the combination of the power consumption status for each outlet determined in FIG. 10 as the outlet power status corresponding to the schedule of the meeting. As shown in the rule data 160 of FIG. 8, the information shown in the combination # 2 of FIG. 10 is registered as the outlet power status corresponding to the scheduled meeting of the user ID “user01”.

  For example, when the user with the user ID “user01” moves from the current work to the meeting, the notebook PC is disconnected from the LCD and brought to the meeting, and the LCD is connected to the notebook PC without turning off the power. Only the connection is removed, the desktop PC is turned off, and the mobile phone is brought to the meeting. At this time, the regularity in accordance with the user's action that the power consumption of the LCD is significantly lower than the normal power consumption and the power consumption of other electrical devices is 0 with respect to the schedule of the meeting. Is obtained.

  Looking at the outlet data 120 shown in FIG. 3, the outlets 30 of the user's outlet IDs “outlet01”, “outlet02”, “outlet03”, and “outlet04” are a notebook PC, an LCD, a desktop PC, and a mobile phone, respectively. The outlet 30 is connected to a power source. As shown in FIG. 8, for this user, the power consumption of the outlet 30 with the outlet ID “outlet02” is greatly reduced and the power consumption status of the other outlets 30 is 0. Is registered in the rule data 160.

  Also, for example, when the user with the user ID “user01” goes out for work, the notebook PC is taken off and brought to the outside, the LCD is turned off, and the desktop PC is turned on from the outside. In preparation for remote operation, mobile phones should be taken out. At this time, the desktop PC has regularity commensurate with the user's behavior that the power consumption status of the desktop PC is the normal power consumption and the power consumption status of other electrical devices is 0, compared to the schedule of the meeting. It is done. As shown in FIG. 8, for this user, the state of power consumption for the outlet 30 with the outlet ID “outlet03” is the normal power consumption and the state of power consumption for the other outlets 30 for the scheduled meeting. The regularity that 0 becomes 0 is registered in the rule data 160.

  As described above, for each schedule in the schedule, regularity information corresponding to the power consumption pattern of the electric equipment used by the user is obtained by learning.

  In addition, regularity is automatically updated as needed through regular learning, so it is fully compatible with changes in the electrical equipment connected to the power supply for each outlet 30 and changes in the usage pattern of electrical equipment by users. Is possible.

  FIG. 11 is a learning processing flowchart by the learning unit of the present embodiment.

  The flowchart shown in FIG. 11 is an example of processing for obtaining regularity of the power consumption status for each specific schedule in a schedule for a certain user. The learning unit 15 performs the learning process shown in the flowchart of FIG. 11 for all users.

  The learning unit 15 selects one specific schedule (step S10).

  The learning unit 15 confirms the correspondence between the schedule information of the corresponding user and each piece of power information by using the association management information stored in the association management information storage unit 143 (step S11).

  The learning unit 15 collects the status of power consumption at each outlet 30 in the specific scheduled time zone selected in the schedule from the corresponding schedule information and each power information (step S12).

  The learning unit 15 takes the statistics of the power consumption status in each collected outlet 30, and obtains the regularity of correspondence between the selected specific schedule and the power consumption status from the statistical result (step S13).

  The learning unit 15 records the obtained regularity information in the rule information stored in the rule information storage unit 16 (step S14).

  The learning unit 15 determines whether or not the processing has been completed for all the predetermined schedules determined in advance (step S15). If the process has not been completed for all the specific schedules (NO in step S15), the learning unit 15 returns to the process in step S10 and proceeds to the process for the next specific schedule. If the process has been completed for all the specific schedules (YES in step S15), the learning unit 15 ends the learning process.

  Next, an example will be described in which it is determined whether the user is acting as scheduled according to the schedule using the regularity obtained by learning.

  The collation determination unit 17 stores the rule information stored in the rule information storage unit 16 with the correspondence between the current schedule of the user and the measured current power consumption status at a predetermined timing such as every 10 minutes. It is determined whether it matches the regularity of.

  The collation determination unit 17 acquires the current schedule in the schedule and the current power consumption state measured at the outlet 30 assigned to the user for the corresponding user. For example, the collation determination unit 17 refers to the association management information stored in the association management information storage unit 143 and confirms the current schedule information for the user and the current power information of each outlet 30. The collation determination unit 17 acquires the current schedule in the schedule of the corresponding user from the current schedule information, and acquires the current power consumption status measured at each outlet 30 from the current power information of each outlet. .

  The collation determination unit 17 records the correspondence between the acquired current schedule and the measured current power consumption status in the rule information stored in the rule information storage unit 16 and the regularity of the corresponding user. It is determined whether it matches either one. For example, the collation determination unit 17 acquires the regularity according to the acquired current schedule or the regularity according to the acquired current power consumption status from the rule information stored in the rule information storage unit 16. To do. The collation determination unit 17 determines whether the correspondence between the acquired current schedule and the measured current power consumption state matches the acquired regularity.

  The notification unit 18 notifies the information device 40 used by the corresponding user of the schedule schedule when it is determined that they do not match in the determination by the collation determination unit 17. For example, the notification unit 18 refers to the user information stored in the user information storage unit 13 and determines the information device designated as the notification destination of the corresponding user when it is determined that they do not match in the determination by the collation determination unit 17. 40 pieces of information are acquired. The notification unit 18 sends a notice of alerting the user about the schedule of the schedule to the information device 40 designated as the notification destination of the corresponding user.

  A specific example will be described. Here, it is assumed that the collation determination unit 17 determines the user with the user ID “user01”. It is assumed that the rule data 160 shown in FIG. 8 has already been obtained by learning about a specific schedule.

  The collation determination unit 17 acquires the current schedule in the schedule for the user with the user ID “user01”. Here, it is assumed that a specific schedule “meeting” is obtained as the current schedule. Further, the collation determination unit 17 acquires the current power consumption status measured at each outlet 30 for the user with the user ID “user01”. Here, as the current power consumption status, “normal power consumption”, “normal power consumption”, “normal power consumption” for the outlets 30 with the outlet IDs “outlet01”, “outlet02”, “outlet03”, and “outlet04”, respectively. It is assumed that “normal power consumption” and “0” are obtained.

  The matching determination unit 17 acquires regularity according to the acquired specific schedule “meeting” for the user with the user ID “user01” from the rule data 160 illustrated in FIG. 8. The power consumption in the regularity according to the “meeting” schedule is “0” for each outlet ID “outlet01”, “outlet02”, “outlet03”, “outlet04” "," 0 "," 0 "are acquired. The state of power consumption in this regularity is different from the current state of power consumption measured at each outlet 30 described above. The collation determination unit 17 determines that the correspondence between the current schedule and the measured current power consumption state does not match the regularity.

  In this example, the user's schedule is scheduled, but the power consumption status measured at each outlet 30, that is, the power consumption status of the electrical equipment used by the user, is scheduled for the meeting. It is not the corresponding power consumption situation. In this case, the user may have forgotten that the schedule is scheduled.

  The notification unit 18 acquires the mail address “user01@f.jp.com” of the information device 40 used by the user with the user ID “user01” from the user data 130 shown in FIG. The notification unit 18 sends to the information device 40 used by the user a notification that warns that the user may have forgotten the meeting schedule.

  Thereby, it is possible to prevent the user from forgetting the schedule written in his / her schedule.

  As another example, it is assumed that a specific schedule is not obtained by acquiring the current schedule by the collation determination unit 17. The verification determination unit 17 acquires the current power consumption status measured at each outlet 30 for the user with the user ID “user01”. Here, as the current power consumption status, “0”, “substantially down”, “0”, “0”, “outlet02”, “outlet02”, “outlet03”, and “outlet04” for each outlet 30 respectively. It is assumed that “0” is obtained.

  The matching determination unit 17 acquires the regularity according to the current power consumption status measured at each acquired outlet 30 for the user with the user ID “user01” from the rule data 160 illustrated in FIG. 8. A “meeting” is acquired as a specific schedule in the regularity according to the current power consumption measured at each outlet 30. The collation determination unit 17 determines that the correspondence between the current schedule and the measured current power consumption state does not match the regularity.

  In this example, the state of power consumption measured at each outlet 30, that is, the state of power consumption of the electrical equipment used by the user is the state of power consumption corresponding to the scheduled meeting in regularity. , The schedule in the user's schedule is not a meeting. In this case, the user may have forgotten to write the meeting schedule on the schedule.

  The notification unit 18 acquires the mail address “user01@f.jp.com” of the information device 40 used by the user with the user ID “user01” from the user data 130 shown in FIG. The notification unit 18 sends to the information device 40 used by the user a notification that warns that the user may have forgotten to input the meeting schedule into the schedule.

  Thereby, it becomes possible to prevent the user from forgetting to write the schedule in the schedule.

  FIG. 12 is a flowchart of collation determination / notification processing by the collation determination unit and the notification unit according to the present embodiment.

  The flowchart shown in FIG. 12 is an example of collation determination / notification processing for a certain user. The collation determination unit 17 and the notification unit 18 perform the collation determination / notification process shown in the flowchart of FIG. 12 for all users.

  The collation determination part 17 determines whether it is a predetermined timing (step S20).

  If it is a predetermined timing (YES in step S20), the collation determination unit 17 acquires the current schedule in the schedule of the corresponding user (step S21). In addition, the collation determination unit 17 acquires the current power consumption status of the electrical equipment used by the user, which is measured at the outlet 30 assigned to the user (step S22).

  The collation determination unit 17 determines whether the acquired current schedule is a specific schedule determined in advance (step S23).

  If the acquired current schedule is a specific schedule (YES in step S23), the collation determination unit 17 determines the regularity according to the acquired current schedule from the rule information stored in the rule information storage unit 16. Is acquired (step S24). The collation determination unit 17 determines whether the acquired current power consumption state matches the acquired regularity (step S25).

  If it is determined that the acquired current power consumption status matches the acquired regularity (YES in step S25), the collation determining unit 17 returns to step S20 and waits for the next timing. Here, when the correspondence between the specific schedule and the power consumption status matches the regularity, useless notification to the user is not performed.

  If it is not determined that the acquired current power consumption status matches the acquired regularity (NO in step S25), the notification unit 18 notifies the user (step S29). Here, a notification that warns that the user may have forgotten the specific schedule is sent to the information device 40 used by the user. The collation determination unit 17 returns to step S20 and waits for the next timing.

  If the acquired current schedule is not a specific schedule (NO in step S23), the collation determining unit 17 uses the rule information stored in the rule information storage unit 16 according to the acquired current power consumption status. The regularity is searched (step S26). The collation determination unit 17 determines whether the rule information stored in the rule information storage unit 16 has regularity according to the acquired current power consumption status (step S27).

  If there is no regularity according to the acquired current power consumption status (NO in step S27), the collation determination unit 17 returns to step S20 and waits for the next timing.

  If there is regularity according to the acquired current power consumption status (YES in step S27), the collation determining unit 17 acquires the acquired current power consumption from the rule information stored in the rule information storage unit 16. A specific schedule corresponding to the situation is acquired (step S28).

  The notification unit 18 notifies the user (step S29). Here, a notification is sent to the information device 40 used by the user that warns that the user may have forgotten to enter the specific schedule acquired in the schedule. The collation determination unit 17 returns to step S20 and waits for the next timing.

  The schedule management apparatus 10 according to the present embodiment described above can support the user to be able to act accurately based on the schedule.

  Since the user's behavior when the schedule is scheduled is estimated from the power consumption of the electrical equipment used by the user, it is possible to flexibly estimate the user's behavior against the schedule .

  Further, for example, even when the outlet 30 with a power sensor is shared by a plurality of electric devices using a multi-tap, the power consumption measured by the outlet 30 reflects the on / off pattern of the plurality of electric devices. Therefore, it is possible to respond flexibly to various cases.

  In addition, notifications are made only in the power consumption situation where it is estimated that the schedule schedule does not correspond to the user's behavior, so unnecessary notifications are sent to users who are already taking action according to the schedule schedule. You do n’t have to.

  Further, when a system for monitoring the power consumption of the outlet 30 is introduced in order to save power, the user's behavior can be estimated by acquiring the power consumption status using the system. Since it is not necessary to use a device only for measuring human behavior such as a human sensor, the cost for realizing the schedule management according to this embodiment can be reduced.

  Although the present embodiment has been described above, the present invention can naturally be modified in various ways within the scope of the gist thereof.

  For example, in the present embodiment, the schedule management device 10 stores and saves the acquired schedule information and power information in the schedule information storage unit 141 and the power information storage unit 142 that are storage units managed by the schedule management device 10. . The schedule management device 10 does not store and save schedule information and power information by itself, but acquires schedule information and power information managed by a storage unit managed by another as much as necessary. May be.

  For example, it is assumed that the scheduler 20 collectively manages and holds schedule information including the past. Further, it is assumed that the power consumption monitoring system collectively manages and holds power information of power consumption measured at each outlet 30, including the past. It is assumed that the schedule management device 10, the scheduler 20, and the power consumption monitoring system can operate in cooperation with each other.

  At this time, for example, when obtaining the regularity of correspondence between the schedule in the schedule and the measured power consumption, the schedule management device 10 acquires the necessary past schedule information from the scheduler 20 and monitors the power consumption. Acquire the necessary amount of past power information from the system. Further, for example, when determining the correspondence between the current schedule schedule and the measured current power consumption status, the schedule management apparatus 10 acquires the current schedule information from the scheduler 20 and monitors the power consumption. Get current power information from the system.

  In this embodiment, statistics are performed using information that combines the power consumption statuses of all the outlets 30 allocated to the user. However, after collecting the power consumption statistics for each outlet 30, the outlets are analyzed. You may combine every 30 statistical results. At this time, the power consumption status can be registered only for the outlet 30 with regularity, and information indicating the arbitrary power consumption status can be registered for the outlet 30 with no regularity.

  For example, when a schedule meeting is scheduled, regularity is seen for the outlet 30 to which the notebook PC is connected to the power supply and the outlet 30 to which the LCD is connected to the power supply, but the outlet 30 to which the desktop PC is connected has regularity. There is also the possibility of not being seen. At this time, the power consumption status obtained by statistics is recorded in the rule information only for the outlet 30 with regularity, and for the outlet with no regularity, a value indicating the arbitrary power consumption status is defined as the rule. Record in information. In the determination by the verification determination unit 17, verification is performed only for the outlets 30 in which regularity is found in the power consumption status in the statistics.

  In this embodiment, the power consumption status is expressed in three stages of “normally used power”, “significantly down”, and “0”, but the power consumption status may be expressed in more detail. For example, the most probable power consumption value in the corresponding schedule of the corresponding outlet 30 may be obtained using a statistical method, and the value may be registered in the rule information as the power consumption status. For example, from the statistical results including the example shown in FIG. 9, it is assumed that 4 W is obtained as the most probable power consumption of the LCD when the meeting is scheduled. At this time, the learning unit 15 registers the obtained value of 4 W as the power consumption state of the outlet 30 of the outlet ID “outlet02” corresponding to the schedule for meeting the rule information. In the determination by the collation determination unit 17, when the power consumption of the outlet 30 with the outlet ID “outlet02” is a value within a predetermined range in the vicinity of 4 W recorded in the rule information for the current meeting schedule, It can be determined that the outlet 30 matches the regularity.

DESCRIPTION OF SYMBOLS 10 Schedule management apparatus 11 Schedule information and electric power information integration part 111 Schedule information acquisition part 112 Electric power information acquisition part 12 Outlet information storage part 13 User information storage part 14 Schedule information and electric power information DB
141 Schedule Information Storage Unit 142 Power Information Storage Unit 143 Association Management Information Storage Unit 15 Learning Unit 16 Rule Information Storage Unit 17 Collation Determination Unit 18 Notification Unit 20 Scheduler 30 Outlet 40 Information Equipment

Claims (6)

A power information acquisition unit for acquiring information on power consumption of electric devices used by users;
A schedule information acquisition unit for acquiring the schedule information of the user;
Learning to obtain regularity of correspondence between the schedule in the user's schedule and the power consumption status from statistics using the power consumption information measured in the past and the user's past schedule information Part,
A rule information storage unit for storing the regularity information;
Collation determination for determining whether the correspondence between the current schedule obtained from the user's schedule information and the measured current power consumption status matches the regularity stored in the rule information storage unit Part,
A schedule management device comprising: a notification unit that notifies the information device used by the user of the schedule schedule when it is determined by the collation determination unit that they do not match. The schedule management apparatus according to claim 1, wherein the information on the power consumption of the electric device used by the user is information on the power consumption measured by a power supply unit assigned to the user. . The regularity is a regularity regarding a correspondence between a specific schedule in the user's schedule and the power consumption status,
The match determination by the collation determination unit is performed when the current state of power consumption measured when the current plan obtained from the user's schedule information is the specific plan is the rule information storage unit. In the regularity stored in the above, it is a determination as to whether the power consumption state corresponds to the specific schedule,
The notification regarding the schedule of the schedule by the notification unit is a notification that warns that the user may have forgotten the specific schedule. Schedule management device. The regularity is a regularity regarding a correspondence between a specific schedule in the user's schedule and the power consumption status,
The match determination by the verification determination unit is performed when the measured current power consumption state is the power consumption state corresponding to the specific schedule in the regularity stored in the rule information storage unit. And determining whether the current schedule obtained from the user's schedule information is the specific schedule,
The notification regarding the schedule of the schedule by the notification unit is a notification that warns that the user may have forgotten to input the specific schedule into the schedule. 2. The schedule management apparatus described in 2. Computer
A procedure for obtaining information on the power consumption of electrical equipment used by users;
Obtaining the user's schedule information;
A procedure for obtaining regularity of correspondence between the schedule in the user's schedule and the power consumption status from statistics using the power consumption information measured in the past and the user's past schedule information. When,
Determining whether the correspondence between the current schedule obtained from the user's schedule information and the measured current power consumption status matches the regularity;
A schedule management program for executing a procedure for notifying the information device used by the user of the schedule schedule when it is determined that they do not match in the determining procedure. Computer
The process of obtaining information on the power consumption of electrical equipment used by users;
Obtaining the user's schedule information;
A process for obtaining regularity of correspondence between the schedule in the user's schedule and the power consumption status from the statistics using the power consumption information measured in the past and the user's past schedule information. When,
Determining whether the correspondence between the current schedule obtained from the user's schedule information and the measured current power consumption status matches the regularity;
And a step of notifying the information device used by the user about the schedule of the schedule when it is determined that they do not match in the determination procedure.

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