JP2015125555A - Action prediction system, device control method, action support method, and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an action prediction system or the like which predicts/controls action of a user by use of a general scheduler.SOLUTION: A control section 23 acquires a schedule input time as time information 53, from input information 50, and acquires the content thereof as action schedule information 55 (step 102). The control section 23 extracts location information associated in advance with the acquired action schedule information 55, from a storage section 25 (step 103). The control section 23 extracts device information associated in advance with the extracted location information 61, from the storage section 25 (step 104). In a device information table 70, the device information 71 is associated with the location information 61. The device information 71 includes a device to be used, and a device not to be used, for each location information 61.

Description

  The present invention relates to a behavior prediction system that predicts and controls a user's behavior based on information input to a scheduler.

  There is a control system that collectively manages the operation of devices used in homes and companies. According to such a control system, it is possible to set the operation schedule of each device in advance. For example, it can be used as part of energy-saving activities, such as setting the operating time of air conditioning in the area that is scheduled to be used, or turning off lighting in areas that are not being used.

  As such a control device, a system that controls the operation of a target device by selecting and inputting a user's schedule to the control system has been commercialized.

  In addition, there is a method for controlling the operation of air conditioning or the like by detecting that a registered mobile terminal approaches or leaves (Patent Document 1).

JP 2010-288231 A

  However, a system that is currently commercialized needs to be scheduled to be input to the control device itself. Therefore, it is necessary to input the schedule into a scheduler dedicated to the control device, in addition to the general scheduler used by the user of the device to be controlled to manage the normal action schedule. For this reason, there is a difficulty in convenience.

  In addition, inputting a schedule to the dedicated device selects a schedule from choices prepared in advance, and thus does not necessarily input an accurate schedule. In addition, when a plurality of people use the equipment in the building, accurate management cannot be performed unless all users input a schedule to the scheduler dedicated to the control device.

  Moreover, since the method of patent document 1 controls operation | movement of an apparatus when a portable terminal approaches, the prior prediction of an apparatus operation | movement is difficult. In addition to this, it is also possible to arrange a sensor or the like and control the device when a person approaches the sensor, but this method is also difficult to predict the device operation in advance, and many sensors. Is required.

  The present invention has been made in view of such problems, and an object of the present invention is to provide a behavior prediction system and the like that perform user behavior prediction and control devices using a commonly used scheduler. To do.

  In order to achieve the above-mentioned object, a first invention is a behavior prediction system connected via a network to a server having a scheduler function, and based on input information input to the scheduler, time information, behavior The schedule information is extracted from the action schedule extraction unit that extracts the schedule information, and the part that stores the device information that is associated with the action schedule information in advance and that is used or not used (hereinafter referred to as “storage unit”). A behavior prediction system that predicts a time and a device used by the user or a device not used by the user from the input information.

  Thus, action schedule information can be acquired from the scheduler on the server normally used, and a user's action can be estimated from action schedule information. For this reason, the apparatus which a user uses and the apparatus which is not used can be estimated.

  It further includes a location information extraction unit that is associated with the activity schedule information in advance and extracts location information that is a user's whereabouts from the storage unit, and the device information is the activity schedule information via the location information. The device extraction unit extracts the location information from the action schedule information, and is associated with the location information in advance from the extracted location information, and is used corresponding to the use location. Devices or unused devices may be extracted.

  By doing in this way, the place where a user exists can be predicted from a user's action prediction. As a result, the device used by the user and the device not used can be predicted from the location information.

  In the case where the action schedule information does not exist in the storage unit, after the time according to the time information has elapsed, from the storage unit in which the device usage record is stored, the track record of the used device or the unused device is extracted, You may further comprise the learning part which associates the said action schedule information and the apparatus use performance in the said time, and preserve | saves in the said memory | storage part.

  In this way, when the device used cannot be predicted from the input information, the device usage record is stored and correlated with the input information, so that if there is similar input information thereafter, the device used, etc. Can be predicted.

  The storage unit stores past device usage results, compares the device information predicted in association with the action schedule information or the location information, and the device usage results, to thereby obtain the device information. When the device usage record is different from the device usage record, the location information associated in advance with the action schedule information or the device information associated in advance with the location information is corrected to the device use record. And you may comprise the correction | amendment part preserve | saved at the said memory | storage part.

  In this way, when the predicted use device predicted from the input information is different from the device usage record, by correcting the association between the input information and the device information, if there is similar input information thereafter It is possible to predict a more accurate device used.

  The device is an energy consuming device, and on the basis of the device information, according to the time information, a device that is not used is turned off or stopped, or a device that is used is turned on or started. A part may be further provided. The device control unit can turn off or stop the operation of the device scheduled to end use after the end time before the end time of the time information, or before the start time of the time information It may be possible to turn on or start operation of the device to be used after the start time.

  Unnecessary energy consumption can be reduced by predicting unused devices based on the scheduler and stopping the operation. Alternatively, standby power can be reduced by turning off the power. In addition, for example, heating or cooling of a room to be used can be performed in advance by turning on a device to be used in advance or starting operation. In addition, by stopping the operation or reducing the driving ability before the scheduled end time, it is possible to reduce energy consumption while maintaining comfort and convenience.

  For each device, a plurality of scheduled operation times are set based on a plurality of time information, and a standard cost calculation unit that calculates a standard cost when the device is operated at the plurality of scheduled operation times, and at least one of the time information The correction cost is set so that the device operates continuously, the correction cost calculation unit that calculates the correction cost when the device is operated at the correction time, and the calculation is performed by subtracting the correction cost from the standard cost. A transmission unit that transmits energy saving information including the reduction cost and the correction time, and the transmission unit may be capable of transmitting the energy saving information to a user terminal.

  In this way, by sending energy information to the user terminal based on the device usage schedule, the user will be enlightened about energy conservation and consider changing to an action plan that takes energy conservation into account. An opportunity to do so.

  The device may be a security device, and may further include a device control unit that locks a location where there is no user or operates a security device based on the location information.

  By doing in this way, a security apparatus can be controlled according to a user's action schedule.

  A preference information extraction unit that extracts preference information associated in advance with the action schedule information from the storage unit, a provision information acquisition unit that acquires provision information related to the preference information via a network, and the provision And a transmission unit that transmits information to the user's terminal.

  By doing in this way, the information according to the action schedule can be provided to the user in a timely manner. In addition to the above-described energy information, it is possible to give an opportunity to examine the time zone for performing hobbies in consideration of energy saving.

  2nd invention acquires the input information input into the said scheduler from the server which has a function of a scheduler via a network, extracts time information and action schedule information, and with respect to the said action schedule information Pre-associate and extract the location information that is the user's whereabouts from the storage unit, pre-associate with the action schedule information, extract the device information that is a device used or not used from the storage unit, A device control method characterized in that, based on device information, the device that is not used is powered off or stopped, or the device that is used is powered on or started based on the time information. Before the end time of the time information, turn off the power of the device scheduled to end use after the end time or stop the operation, or before the start time of the time information, turn on the power of the device scheduled to be used after the start time You can also enter or start driving.

  According to the second embodiment, it is possible to predict a device to be used and control the operation of the device based on information input to the scheduler. For this reason, an apparatus can be operated efficiently.

  3rd invention acquires the input information input into the said scheduler from the server which has a function of a scheduler via a network, extracts time information and action schedule information, and with respect to the said action schedule information Location information that is associated in advance and is a user's whereabouts is extracted from the storage unit, device information that is associated in advance with the action schedule information and is a device that is used or not used is extracted from the storage unit, and the device For each, set a plurality of scheduled operation times based on a plurality of time information, calculate a standard cost when the device is operated at a plurality of the scheduled operation times, correct at least one of the time information, The correction time is set so as to operate continuously, the correction cost when the device is operated at the correction time is calculated, and the correction cost is calculated from the standard cost. Minus set energy-saving information comprising reducing cost and the correction time that is calculated, a behavioral support method and transmitting or displaying the energy-saving information to the user terminal.

  By doing in this way, energy saving information can be provided to the user from the action schedule input to the scheduler, and examination of actions such as energy saving can be promoted.

  User preference information associated in advance with the action schedule information may be extracted from the storage unit, and the preference information may be transmitted or displayed to the user.

  By doing in this way, the information according to the action schedule can be provided to the user in a timely manner. In addition to the above-described energy information, it is possible to give an opportunity to examine the time zone for performing hobbies in consideration of energy saving.

  According to a fourth aspect of the present invention, there is provided an action schedule for extracting time information and action schedule information from an input information input to the scheduler by using a server having a scheduler function and an action prediction apparatus connected via a network. An extraction unit, a location information extraction unit that extracts the location information that is a user's whereabouts from the storage unit in advance, and a device or use that is associated in advance and used with the location information. It is a program for functioning as a device extraction unit that extracts device information that is not a device from the storage unit.

  According to the fourth aspect of the present invention, energy saving information can be provided to the user from the action schedule input to the scheduler, and examination of actions such as energy saving can be promoted.

  ADVANTAGE OF THE INVENTION According to this invention, the action prediction system etc. which perform a user's action prediction using the scheduler used generally can be provided.

The block diagram which shows the apparatus control system 1. FIG. The block diagram which shows the other aspect of the apparatus control system 1. FIG. The hardware block diagram which shows the action prediction system 5. FIG. The flowchart which shows the processing method of an action prediction system. The figure which shows the scheduler information table 57. FIG. The figure which shows the input information 50. The figure which shows the location information table 60. FIG. The figure which shows the apparatus information table. The flowchart which shows the processing method of an action prediction system. The flowchart which shows the processing method of an action prediction system. The figure which shows the apparatus operation information 80 The flowchart which shows the processing method of an action prediction system. The figure which shows the preference information table 90. FIG.

(Embodiment 1)
Hereinafter, embodiments of the present invention will be described with reference to the drawings. FIG. 1 is a block diagram showing the device control system 1. The device control system 1 is mainly configured by connecting a server 3, an action prediction system 5, an information acquisition system 7, and a user terminal 9 via a network 13.

The server 3 has a scheduler function that can be used by the user. For example, a plurality of users access the server 3 from the user terminal 9 and display their own schedule screen on the user terminal with each individual ID. The user inputs his schedule into the scheduler and saves it. As described above, according to the online scheduler, it is possible to collectively manage information of a plurality of users.
If a plurality of users use different schedulers, there may be a plurality of servers 3 for each scheduler.

  The behavior prediction system 5 acquires necessary information from the scheduler of the server 3. For example, for each user, the schedule content indicating what kind of action schedule is obtained. The behavior prediction system 5 stores the acquired information as necessary. In addition, from the obtained information, a device used or not used by the user is predicted. The behavior prediction system 5 controls the operation of each connected device 11 based on this prediction.

  The information acquisition system 7 acquires the prediction result and performance information of the device 11. The obtained information is transmitted to the administrator of the behavior prediction system 5 or the like.

  Note that the behavior prediction system 5 may not be a single piece of hardware, and the behavior schedule extraction unit 15, the information storage unit 17, and the device control unit 19 may be separate hardware as shown in FIG. In this case, the action schedule extraction unit 15 acquires necessary information from the scheduler of the server 3. The acquired information is stored in the information storage unit 17. In addition, the device control unit 19 predicts a device used by the user or a device that is not used, and controls the operation of each connected device 11.

  In this way, devices may be arranged separately for each function and connected via the network 13 or the like. Further, any two of the action schedule extraction unit 15, the information storage unit 17, and the device control unit 19 may be configured by one piece of hardware. Furthermore, you may arrange | position the control part which controls each part. Further, the functions of the information acquisition system 7 may be combined.

  Next, details of the behavior prediction system 5 will be described. In the following description, the behavior prediction system 5 is described as one piece of hardware. However, as described above, a plurality of pieces of hardware may be used to distribute functions. FIG. 3 is a hardware configuration diagram showing the behavior prediction system 5. The behavior prediction system 5 is, for example, a computer, and includes a control unit 23, a storage unit 25, a media input / output unit 27, a communication control unit 29, an input unit 31, a display unit 33, a peripheral device I / F unit 35, and the like. They are connected via a bus 37.

  The control unit 23 includes a CPU (Central Processing Unit), a ROM (Read Only Memory), a RAM (Random Access Memory), and the like. The CPU calls and executes a program stored in the storage unit 25, ROM, recording medium, etc. to the work memory area on the RAM, drives and controls each device connected via the bus 37, and the behavior prediction system 5 Implement the process to be performed.

  The ROM is a non-volatile memory and permanently holds a computer boot program, a program such as BIOS, data, and the like. The RAM is a volatile memory, and temporarily stores programs, data, and the like loaded from the storage unit 25, ROM, recording medium, and the like, and includes a work area used by the control unit 23 to perform various processes.

  The storage unit 25 is an HDD (hard disk drive) or SSD (flash SSD) (solid state drive), and stores a program executed by the control unit 23, data necessary for program execution, an OS (operating system), and the like. As for the program, a control program corresponding to an OS (operating system) and an application program corresponding to processing described later are stored. Each of these program codes is read by the control unit 23 as necessary, transferred to the RAM, read by the CPU, and executed as various means. The storage unit 25 stores various data used in the present invention.

  The media input / output unit 27 (drive device) inputs / outputs data, for example, a floppy (registered trademark) disk drive, a CD drive (-ROM, -R, RW, etc.), a DVD drive (-ROM, -R, etc.). -RW etc.) and media input / output devices such as MO drives.

  The communication control unit 29 has a communication control device, a communication port, and the like, and is a communication interface that mediates communication between the computer and the network. For example, the control unit 23 acquires user schedule information via the network. Or various information can be transmitted.

  The input unit 31 inputs data and includes, for example, a keyboard, a pointing device such as a mouse, and an input device such as a numeric keypad. An operation instruction, an operation instruction, data input, and the like can be performed on the computer via the input unit 31.

  The display unit 33 includes a display device such as a CRT monitor and a liquid crystal panel, and a logic circuit (such as a video adapter) for realizing a video function of the computer in cooperation with the display device.

  The peripheral device I / F (interface) unit 35 is a port for connecting a peripheral device to the computer, and the computer transmits and receives data to and from the peripheral device via the peripheral device I / F unit 35.

  The bus 37 is a path that mediates transmission / reception of control signals and data signals between the devices. In addition, as the action prediction system 5, it is not limited to the thing containing all the said structures, What is necessary is just to have only the structure required in order to show | play the function of this invention.

  When the behavior prediction system 5 is configured with a plurality of hardware, each hardware may be configured with a necessary one of the above-described configurations. The server 3 and the information acquisition system 7 may have the same configuration.

  Next, a control method of the behavior prediction system 5 of the present invention will be described. FIG. 4 is a flowchart showing a control method of the behavior prediction system 5. First, the control unit 23 acquires input information input to the scheduler from the scheduler stored in the server 3 (step 101).

  FIG. 5 is a diagram showing an example of the scheduler information table 57 with personal ID = A. As shown in the figure, it is assumed that “10:00 to 11:00 meeting” and “13: 0 to 15:00 shopping” are input to the scheduler of the user with personal ID = A. As described above, in many cases, time and schedule are input to the scheduler as a set. In this way, the control unit 23 acquires information including the time and schedule as input information.

  FIG. 6 is a diagram showing the input information 50. The input information 50 includes a personal ID 51, time information 53, and action schedule information 55. The personal ID 51 is an ID given to each user. The time information 53 and the action schedule information 55 are the schedule time and the schedule contents input to the scheduler, respectively.

  In step 101, the control unit 23 acquires only the input information 50 having the preset personal ID 51 from the server 3. For example, the input information 50 having the personal IDs of all the families in the target home is acquired. Or the input information 50 which has the personal ID of all the employees who work in the same building, or a part of employees is acquired.

  In addition, when the user changes the contents of the scheduler, the control unit 23 acquires input information from the scheduler periodically or when a change occurs.

  Further, the method of acquiring the input information 50 from the scheduler is not limited to the case of acquiring the input information 50 directly from the scheduler. For example, the contents of the scheduler may be received from the scheduler server 3 side. A scheduler may be provided on the behavior prediction system 5.

  The control unit 23 acquires the time when the schedule is input from the input information 50 as the time information 53 and acquires the content as the action schedule information 55 (step 102). In the above-described example, the control unit 23 acquires time information 53 = “10: 0 to 11:00” and action schedule information 55 = “meeting” as a set for the personal ID 51 = A together with the date of the day. For personal ID 51 = A, time information 53 = “13: 0 to 15:00” and action schedule information 55 = “shopping” are acquired as a set.

  As described above, the control unit 23 acquires all input information including the time information 53 and the action schedule information 55 for each personal ID 51. Note that the control unit 23 stores the acquired input information 50 in the storage unit 25 as necessary.

  Next, the control part 23 extracts the location information previously linked | related with the acquired action plan information 55 from the memory | storage part 25 (step 103).

  FIG. 7 is a diagram showing the location information table 60. The storage unit 25 stores a location information table 60 in advance. In the place information table 60, place information 61 is associated with each word included in the action schedule information 55. The location information 61 is, for example, a location in the house where the user lives or a location in a company building where the user is engaged.

  For example, when the action schedule information 55 includes a word “meeting”, “between customers” in the location information 61 corresponding to this is extracted. In addition, when the action schedule information 55 includes a plurality of words, priority may be given to each word. For example, in a company, when a room number of a meeting place is included, a meeting room corresponding to the room number may be associated.

  For example, when the action schedule information 55 includes a word such as “shopping”, the location information 61 is associated with “outdoor”. That is, the location information 61 includes these outdoor locations as well as locations in the house and locations in the building. A plurality of places may be associated with one word of the action schedule information 55.

  Next, the control unit 23 extracts device information previously associated with the extracted location information 61 from the storage unit 25 (step 104).

  FIG. 8 is a diagram showing the device information table 70. The storage unit 25 stores a device information table 70 in advance. In the device information table 70, device information 71 is associated with the location information 61. The device information 71 includes, for each location information 61, a device that is predicted to be used and a device that is predicted not to be used.

  For example, when the location information 61 is “between customers”, as the device information 71 corresponding to this, the customer lighting, the customer air conditioning,... Similarly, when the location information 61 is “between customers”, bathroom lighting, bedroom air conditioning,... Are extracted as non-use prediction devices as device information 71 corresponding thereto. Each device extracted in this way is a device that is predicted to be used by a user or a device that is predicted not to be used at the scheduled action time.

  Next, the control unit 23 controls the operation of the device based on the device information 71 (step 105).

  For example, when the customer information, customer air conditioning,..., Etc. are extracted as usage prediction devices as the device information 71, the control unit 23 sets the customer air conditioning slightly before the scheduled time of the corresponding time information 53. Start operation. Further, when the scheduled time comes, for example, the lighting between the customers is turned on. Similarly, when the bathroom information, bedroom air conditioning, and so on are extracted as the non-use prediction devices as the device information 71, the control unit 23 displays the operation of these devices in the corresponding time information 53. To stop.

  Moreover, the control part 23 will stop operation | movement of customer air conditioning and customer illumination, if the corresponding time information 53 passes. When each device is manually operated, the manual operation has priority over the control by the control unit 23. For example, if the meeting ends earlier than planned, the user can manually stop the device. Even in this case, for example, even if the device is forgotten to be turned off, the device can be surely stopped if the scheduled time has elapsed. If the scheduled time is extended, the user can operate the stopped air conditioning and lighting again.

  In addition, as an apparatus used as the object of the apparatus information 71, energy consumption apparatuses, such as an air conditioning and illumination, are mentioned, for example. By controlling the operation of such energy consuming equipment by the control unit 23 in accordance with the user's action schedule, the equipment can be operated only when necessary. That is, the control unit 23 functions as a device control unit that turns off the power of devices that are not used or turns on the power of devices that are used. For this reason, useless energy consumption can be suppressed.

  Further, the device that is the target of the device information 71 may be a security device, for example. For example, based on the location information 61, it is possible to control the locking of a place where there is no user or the operation of a security device. That is, the control unit 23 functions as a device control unit that controls the operation of the security device. Further, when the location information 61 is “outdoor”, the entire building may be locked and the security device may be operated. By doing in this way, it is possible to detect a case where a person has entered the time and place where the person should originally be absent.

  As described above, according to the behavior prediction system 5 of the present embodiment, the behavior schedule information 55 can be acquired from the scheduler on the server, and the behavior of the user can be predicted from the behavior schedule information 55. Therefore, since the user uses the scheduler that is used for managing his / her schedule, the user can easily use the scheduler. In addition, a separate schedule input for device control or the like is not necessary.

  In addition, since a conventionally used scheduler is used as it is, for example, more detailed behavior can be predicted as compared with a selective schedule input for device control.

  Moreover, the place where a user exists can be estimated from the user's behavior prediction thus obtained. As a result, the device used by the user and the device not used can be predicted from the location information. For this reason, operation | movement of an apparatus can be controlled based on such information.

  For example, unnecessary energy consumption can be reduced by predicting a device that is not used and turning off the power of the device. In addition, by turning on the power of the equipment to be used in advance, for example, heating and cooling of the room to be used can be performed in advance. It is also possible to control the security device according to the user's action schedule.

  In the present embodiment, the corresponding location information 61 is extracted from the action schedule information 55 using the location information table 60, and the corresponding device information 71 is extracted from the device information table 70. Is not limited to this. For example, in the device information table 70, device information 71 may be associated with the action schedule information 55.

  In this case, the control unit 23 can extract the action schedule information 55 from the input information 50 and can directly extract the device information 71 corresponding thereto using the device information table 70. That is, the location information 61 is not always necessary. In the present invention, when the device information 71 is extracted from the action schedule information 55 via the location information 61, it is simply referred to as extracting the device information 71 from the action schedule information 55. In the following description, an example using the location information 61 will be described.

  Moreover, the process until acquiring the device information 71 may be performed once a day or may be performed every predetermined time.

  In addition, when it is determined that there are a plurality of users in the same location information, control can be performed so as to increase the capability of the device at the location that is used simultaneously.

  In addition, when it is determined that a plurality of users are in different places, priority may be set between the users and the device may be operated. In addition, it is possible to control so that the device is operated with priority given to a place where there are many users.

(Embodiment 2)
Next, a second embodiment will be described. In the following description, the same components as those in the first embodiment are denoted by the same reference numerals as those in FIGS. 1 to 8, and redundant descriptions are omitted. In the second embodiment, the location information table 60 is further corrected and learned.

  FIG. 9 is a flowchart showing the control process of the correction and learning function of the location information table 60. After the above-described device control (FIG. 4, step 105), the control unit 23 stores the actual operation result of the device in the storage unit 25 (step 201). That is, the operation results of the device information 71 at each time are stored.

  Next, the control unit 23 determines whether or not the action schedule information 55 extracted from the input information 50 exists in the location information table 60 (step 202). If the action schedule information 55 does not exist in the location information table 60, the process proceeds to step 205.

  When the action schedule information 55 exists in the place information table 60, the control unit 23 can extract the device information 71. Therefore, the device information table 70 can be used to predict a device to be used or a device that is not used.

  Next, the control unit 23 compares the predicted usage status of the device with the actual performance of the device (step 203). For example, when the power of a device that is predicted to be used is turned off within that time, or when the power to a device that is not used is turned on, the deviation from the predicted operating status of the device is calculated. To do.

  The control unit 23 uses the time information 53 to be targeted when the power of the predicted use device is turned off for a predetermined time or more, or when the predicted device is not used for the predetermined time or more. If the power has been turned on, it is determined that the prediction and the actual result have deviated by a predetermined amount or more. For example, if the operation time of the predicted use device is shorter than the time when the power is turned off, or if the operation time of the non-use predicted device is longer than the time when the power is turned off, the prediction and the actual result It is determined that the difference is greater than a predetermined value, and it is determined that the device information 71 is different from the device usage record.

  When the control unit 23 determines that the prediction and the actual result have deviated by a predetermined amount or more, the control unit 23 corrects the location information table 60 or the device information table 70 (step 204). That is, the place information 61 associated with the action schedule information 55 is corrected, or the device information 71 associated with the place information 61 corresponding to the action schedule information 55 is corrected according to the actual results. If the device information 71 is directly associated with the action schedule information 55, the location information 61 associated with the action schedule information 55 is corrected.

  For example, it is assumed that the place information 61 = “between customers” is associated with the action schedule information 55 = “meeting”. In this case, in the device usage record, when the electricity of another room is used or the electricity of any room is not used, the place information 61 corresponding to the action schedule information 55 = “meeting” is stored in the room. Or modify it as “outdoor”. In this case, the location information 61 that is closest to the device usage record and the device information 71 may be selected. Alternatively, the device information 71 can be corrected and set for the location information 61 in accordance with the device usage record.

  The control unit 23 stores the corrected information in the storage unit 25. As described above, at least one of the location information 61 associated with the action schedule information 55 in advance or the device information 71 associated with the location information 61 in advance can be corrected by the device usage record.

  Next, the case where the action schedule information 55 does not exist in the place information table 60 will be described. In this case, the control unit 23 cannot perform behavior prediction. In this case, the location information 61 closest to the device usage record and the device information 71 is selected and estimated (step 205).

  In addition, the control unit 23 newly adds the action schedule information 55 to the place information table 60, and associates the action schedule information 55 with the selected place information 61 (step 206). Alternatively, new place information 61 may be added and associated with the action schedule information 55 as a new place A. In this case, the device information 71 may be set for the new location information 61 in accordance with the device usage record.

  The control unit 23 stores the newly set information in the storage unit 25. As described above, at least one of the location information 61 and the device information 71 can be learned from the device usage record for the new action schedule information 55.

  The operation performance of each device stored in the storage unit 25 may be acquired by the information acquisition system 7 (FIG. 1) and transmitted to the administrator of the behavior prediction system 5.

  According to the second embodiment, an effect similar to that of the first embodiment can be obtained. Further, by comparing the location information 61 or the device information 71 with respect to the action schedule information 55 with the device usage record, the association with the action schedule information 55 can be corrected so as to be close to the device use record. For this reason, it is possible to predict the behavior more accurately and control the device.

  The location information table 60 and the device information table 70 are set for each user ID. For this reason, the individual location information table 60 and the device information table 70 are corrected with respect to wrinkles at the time of user input and words to be selected. Therefore, accurate behavior prediction can be performed for each user.

  In addition, when action schedule information 55 that is not set in the location information table 60 is found, the action schedule information 55 is newly added to the location information table 60, and the location information 61 and Device information 71 is associated. Therefore, it is possible to learn the action schedule information 55 that is not initially set and predict the user's action.

(Embodiment 3)
Next, a third embodiment will be described. In the third embodiment, energy saving information is further transmitted to the user.

  FIG. 10 is a flowchart showing a process of transmitting energy saving information. After acquiring the device information 71 described above (FIG. 4, step 104), the control unit 23 acquires device operation information related to the used device associated with the device information 71 from the storage unit 25 (step 301).

  FIG. 11 is a diagram showing the device operation information 80. The device operation information 80 is stored in the storage unit 25. The device operation information 80 includes a device ID 81, scheduled operation time information 83, and energy consumption information 85. The device ID 81 identifies a preset device. The scheduled operation time information 83 is a time when the device is scheduled to operate, and is set by the control unit 23.

  For example, when a specific device used (for example, an air conditioner) is predicted from the action schedule information 55 corresponding to the time information 53 = “10: 0 to 11:00”, the scheduled operation time of this device is determined by the control unit 23. For example, “9:45 to 11:00” is set. The control unit 23 stores scheduled operation time information 83 for the device ID 81. For example, for an air conditioner, by stopping operation or reducing the driving ability before the scheduled end time (for example, 15 minutes before), it is possible to reduce energy consumption while maintaining comfort and convenience. That is, at least a part of devices scheduled to be used after the start time may be extracted from the device information 71 before the start time of the time information 53, and the device may be turned on or started to operate. In addition, before the end time of the time information 53, at least a part of devices scheduled to be used after the end time may be extracted from the device information 71, and the operation of the device may be turned off or the operation may be stopped.

  The energy consumption amount information 85 is an average energy consumption amount consumed per unit time of the device. The energy consumption information 85 is set in advance for each device.

  Next, the control unit 23 multiplies the energy consumption amount information 85 of the device by the scheduled operation time information 83 to calculate the energy consumption amount. When the same device has a plurality of scheduled operation time information 83, the amount of energy consumption is calculated for each scheduled operation time information 83. In addition, the unit price of energy (cost per unit energy amount) separately stored in the storage unit 25 is read, and the standard cost is calculated by multiplying the energy consumption amount (step 302).

  Next, the control unit 23 determines whether or not there is a plurality of scheduled operation time information 83 of the device within a predetermined time range (step 303). For example, when there are a plurality of scheduled operation time information 83, it is determined whether or not the interval between the scheduled operation times is within a predetermined time (for example, 1 hour).

  When the control unit 23 has a plurality of scheduled operation time information 83 and determines that the interval between the scheduled operation times is within a predetermined time, the control unit 23 calculates a correction time so that the device operates continuously. For example, when a plurality of scheduled operation time information 83 are set as A = “8: 0 to 9:00” and B = “9:45 to 11:00”, the corresponding time information 53 is A = “8:15 to 9:00”, B = “10: 0 to 11:00”. In this case, the correction time is A = “9:15 to 10:00” and B = “9:00 to 10:00”.

  Next, the control part 23 calculates the cost at the time of operating an apparatus by this correction time. In the example described above, for example, when the correction time A is adopted, the time information 53 considering the correction time is continuously “9:15 to 11:00”. In this case, the corrected scheduled operation time information 83 is set as “9:00 to 11:00”.

  When the scheduled operation time information 83 is set to “9:00 to 11:00”, the control unit 23 calculates the correction cost by multiplying the energy consumption information 85 of the device and the energy unit price. Further, the control unit 23 compares the original standard cost with the correction cost and calculates a reduction cost (step 305).

  The control unit 23 transmits the correction time and the reduction cost (energy saving information) at this time to the user terminal 9 (step 306). In the above example, when the target time information 53, A = “8:15 to 9:00”, and B = “10: 0 to 11:00” are different users, Energy saving information (modification time and reduction cost) is transmitted to the user.

  The user who has acquired the energy saving information can know how much the cost can be reduced by changing the scheduled action time. Therefore, when the schedule change is effective, the user can change the schedule and perform energy saving activities. That is, the user usually sets a schedule without being conscious of energy saving, but according to the present embodiment, when there is a degree of freedom in time, such as a schedule set for no reason, it is more advantageous for energy saving. You can give an opportunity to change the schedule.

  Here, the energy unit price may vary depending on time. For example, the electricity bill may fluctuate between nighttime and daytime. In this case, it is also possible to calculate a correction time based on the energy unit price.

  The control unit 23 determines whether or not the energy unit price varies with time (step 307). The presence / absence of fluctuation of the energy unit price is preset by the user and stored in the storage unit 25.

  When the energy unit price varies with time, the control unit 23 calculates the standard cost described above for a device scheduled to operate in a time zone with a high energy unit price. In addition, a correction cost is calculated when the device is operated in a time zone (correction time) where the energy unit price is low. The control unit 23 compares the original standard cost with the correction cost and calculates a reduction cost (step 308).

  The control unit 23 transmits the correction time and the reduction cost (energy saving information) at this time to the user terminal 9 (step 309). For example, by changing the time zone for going out (location information 61 = “outdoor”) from nighttime to daytime, the operation of equipment is suppressed during the daytime energy unit price is high, and the nighttime energy unit cost is low. The device can be operated in the belt. For this reason, cost can be reduced.

  In the above example, two examples of energy saving information are transmitted to the user: energy saving information due to continuous operation of the device and energy saving information due to a change in the usage time zone of the device, but only one of them is transmitted. May be. Moreover, the energy saving information may be displayed on the display unit of the user terminal 9 by making the energy saving information stored in the storage unit 25 accessible from the user terminal 9. In addition, for example, when air conditioning equipment is controlled to stop operation or reduce operating capacity before the scheduled end time (for example, 15 minutes before), it is stopped compared to the case of continuous operation until the end time is reached. It is also possible to calculate the amount of energy saving by speeding up the control, etc., and make it possible to transmit or access to the user.

  According to the third embodiment, the same effect as that of the first embodiment can be obtained. Moreover, since energy saving information with respect to the user's action schedule is transmitted to the user terminal 9, the user can be made aware of energy saving. Further, if the user corrects the action schedule based on the energy saving information, the energy saving effect can be actually obtained.

(Embodiment 4)
A fourth embodiment will be described. In the fourth embodiment, preference information is further transmitted to the user.

  FIG. 12 is a flowchart showing a preference information transmission step. The control part 23 acquires the preference information linked | related with the action schedule information 55 from the memory | storage part 25 after acquisition of the action schedule information 55 mentioned above (FIG. 4, step 102) (step 401).

  FIG. 13 is a diagram illustrating the preference information table 90. A preference information table 90 is stored in the storage unit 25 in advance. In the preference information table 90, preference information 91 is associated with each word included in the action schedule information 55. The preference information 91 is, for example, a hobby category. The preference information 91 is matched with a category in a general information site via the network 13.

  The control unit 23 acquires information (provided information) regarding the category of the preference information from an information site or the like via the network (step 402).

  The control unit 23 transmits the provision information to the user terminal 9 (step 403). For example, if the preference information 91 = “movie”, the control unit 23 acquires information about the movie (ticket information, screening information, new work information, etc.) from the information site on the network and transmits it to the user. The preference information 91 may be displayed on the display unit of the user terminal 9 by making the preference information 91 stored in the storage unit 25 accessible from the user terminal 9.

  According to the fourth embodiment, the same effect as that of the first embodiment can be obtained. Moreover, the preference information 91 is predicted from the user's action schedule, and the provision information related to the preference information 91 is transmitted to the user terminal 9. For this reason, the information according to a user's hobby can be transmitted to a user.

  If the action schedule information 55 is a word related to hobbies, the action schedule information 55 exists in both the place information table 60 and the preference information table 90. Therefore, for example, if the action schedule information 55 = “movie”, the place information 61 = “outdoor”, and if the action schedule information 55 = “reading”, the action schedule information 55 such as the place information 61 = “study” is a hobby. Is associated with the location information 61 and the device information 71. For this reason, the apparatus control etc. which were mentioned above can be performed.

  As mentioned above, although embodiment of this invention was described referring an accompanying drawing, the technical scope of this invention is not influenced by embodiment mentioned above. It is obvious for those skilled in the art that various modifications or modifications can be conceived within the scope of the technical idea described in the claims. It is understood that it belongs.

  For example, it goes without saying that the above-described embodiments can be combined with each other.

1 ……… Device control system 3 ………… Server 5 ……… Behavior prediction system 7 ………… Information acquisition system 9 ……… User terminal 11 ……… Device 13 ……… Network 15 ……… Action schedule extraction Unit 17 ... Information storage unit 19 ... Equipment control unit

Claims (14)

An action prediction system connected via a network to one or more servers having a scheduler function,
An action schedule extraction unit that extracts time information and action schedule information from the input information input to the scheduler;
A device extraction unit that is associated with the action schedule information in advance and extracts device information that is a device that is used or a device that is not used from a storage unit;
Comprising
A behavior prediction system for predicting time and a device used by a user or a device not used by a user from the input information. A location information extracting unit that extracts location information that is associated with the action schedule information in advance and is a user's whereabouts from the storage unit,
The device information is associated with the action schedule information via the location information,
The device extraction unit extracts the location information from the action schedule information, and from the extracted location information, the device is associated with the location information in advance, and a device that is used or a device that is not used is used corresponding to the place of use. The behavior prediction system according to claim 1, wherein the behavior prediction system is extracted.   In the case where the action schedule information does not exist in the storage unit, after the time according to the time information has elapsed, from the storage unit in which the device usage record is stored, the track record of the used device or the unused device is extracted, The behavior prediction system according to claim 2, further comprising a learning unit that associates the behavior schedule information with a device usage record at the time and stores the information in the storage unit. The storage unit stores past device usage records,
In the case where the device information and the device usage record are different by comparing the device information predicted in association with the action schedule information or the location information, and the device use record,
A correction unit that corrects at least one of the location information associated in advance with the action schedule information or the device information associated in advance with the location information into the device usage record, and stores the correction in the storage unit; The behavior prediction system according to claim 2 or 3, further comprising:   The device is an energy consuming device, and on the basis of the device information, according to the time information, a device that is not used is turned off or stopped, or a device that is used is turned on or started. The behavior prediction system according to claim 1, further comprising a unit.   The device control unit can turn off or stop the operation of the device scheduled to end use after the end time before the end time of the time information, or before the start time of the time information 6. The behavior prediction system according to claim 5, wherein the device to be used after the start time can be turned on or the operation can be started. For each device, a standard cost calculation unit that sets a plurality of scheduled operation times based on a plurality of time information and calculates a standard cost when the device is operated at a plurality of the planned operation times, and
A correction cost calculation unit that corrects at least one of the time information, sets a correction time so that the device continuously operates, and calculates a correction cost when the device is operated at the correction time;
A transmission unit that transmits energy saving information composed of a reduction cost calculated by subtracting the correction cost from the standard cost and the correction time; and
The behavior prediction system according to claim 5 or 6, wherein the transmission unit is capable of transmitting the energy saving information to a user terminal.   5. The device according to claim 2, wherein the device is a security device, and further includes a device control unit that locks a location where no user is located or operates a security device based on the location information. The behavior prediction system according to any one of the above.   A preference information extraction unit that extracts preference information associated in advance with the action schedule information from the storage unit, a provision information acquisition unit that acquires provision information related to the preference information via a network, and the provision information The behavior prediction system according to any one of claims 2 to 4, further comprising: a transmission unit that transmits the message to a user terminal. Obtaining input information input to the scheduler from a server having a scheduler function via a network, extracting time information and action schedule information,
Preliminarily associated with the action schedule information, and extracted from the storage unit is the location of the user,
Preliminarily associated with the action schedule information, and extracts device information that is a device that is used or a device that is not used from the storage unit,
A device control method characterized in that, based on the device information, according to the time information, a device not to be used is turned off or stopped, or a device to be used is turned on or started.   Before the end time of the time information, turn off the power of the device scheduled to end use after the end time or stop the operation, or before the start time of the time information, turn on the power of the device scheduled to be used after the start time The apparatus control method according to claim 10, wherein the apparatus control is started or operation is started. Obtaining input information input to the scheduler from a server having a scheduler function via a network, extracting time information and action schedule information,
Preliminarily associated with the action schedule information, and extracted from the storage unit is the location of the user,
Preliminarily associated with the action schedule information, and extracts device information that is a device that is used or a device that is not used from the storage unit,
For each device, a plurality of scheduled operation times are set based on a plurality of time information, a standard cost is calculated when the device is operated at a plurality of the scheduled operation times, and at least one of the time information is corrected, The correction time is set so that the device operates continuously, the correction cost when the device is operated at the correction time is calculated, and the reduction cost calculated by subtracting the correction cost from the standard cost and the correction time Set energy saving information
A behavior support method comprising transmitting or displaying the energy saving information on a user terminal. User preference information associated in advance with the action schedule information is extracted from the storage unit,
The action support method according to claim 12, wherein the preference information is transmitted or displayed to a user. A server having a scheduler function and a behavior prediction device connected via a network,
An action schedule extraction unit that extracts time information and action schedule information from the input information input to the scheduler;
A location information extraction unit that is associated in advance with the action schedule information and extracts location information that is a user's whereabouts from a storage unit;
A device extraction unit that is associated with the location information in advance and extracts device information that is a device that is used or a device that is not used from the storage unit;
Program to make it function.

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