JP4854555B2 - Behavior analysis apparatus and IP telephone system - Google Patents

Description

  The present invention relates to a behavior analysis device that performs behavior analysis and an IP telephone system in which the behavior analysis device is constructed.

  Business improvement is an important issue for companies and the like from the viewpoint of competitiveness and productivity improvement, and various technologies have been proposed. As an example of technology related to business improvement in a company or the like, for example, a personal computer (Personal Computer, hereinafter abbreviated as “PC” as appropriate) used by an analysis subject for each analysis subject who performs behavior analysis for 10 days The PC screen image data is appropriately recorded, and the behavior of the analysis subject is recorded by video recording, so that the performance record data of each analysis subject is recorded, and the behavior result data of each analysis subject is recorded. Based on this, there is a behavior analysis device that analyzes an individual activity of an analysis target person (for example, see Non-Patent Document 1). More specifically, the behavior analysis apparatus uses the history data of each analysis target person to record the history and operation status of the application used on the PC, information search (PC search, e-mail, telephone, etc.), document Visually present creation and management methods, communication and collaboration flows (e-mail, telephone, direct meeting), etc. This makes it easy to extract room for business improvement.

“Microsoft Office: Individual Productivity Assessment Home for Individuals”, Microsoft, Internet <URL: http://www.microsoft.com/japan/office/previous/2003/business/ipa/default.mspx>

  However, in the behavior analysis apparatus described in Non-Patent Document 1, in order to obtain the behavior result data of each analysis target person, the construction and setting of a software program for appropriately storing the image data of the PC screen, and video shooting It is necessary to install equipment and the equipment, and it takes a considerable amount of money and labor to collect action performance data. In addition, in order to perform behavior analysis more accurately and appropriately extract room for business improvement and the like, it is desirable to collect a considerable number of analysis results data of the subject of analysis. In the behavior analysis apparatus, as described above, the cost and labor for collecting the behavior result data for one analysis target person are large, and the collection of the action result data for behavior analysis is further increased according to the number of analysis target persons. Cost and labor.

  In general, since image data and video images have a large amount of data, the behavior analysis apparatus of Non-Patent Document 1 requires a storage device such as a large-capacity nonvolatile memory in order to store these data. . Note that the required storage capacity increases depending on the number of persons to be analyzed, but as described above, in order to perform a behavior analysis more accurately, the action result data of a considerable number of persons to be analyzed Therefore, in order to accurately perform the behavior analysis in the behavior analysis device of Non-Patent Document 1, a considerably large-capacity storage device is required, and the cost of the storage device is considerably increased. Therefore, the behavior analysis device described in Non-Patent Document 1 is not suitable for behavior analysis of a large number of people from the viewpoint of labor and cost for construction and installation of the behavior analysis device.

  Further, in the behavior analysis apparatus of Non-Patent Document 1, image data and video images of a PC screen are stored as behavior result data, but the purpose of the analysis subject's behavior is grasped only by the image data and video images of the PC screen. It is difficult. More specifically, for example, when a material creation application is used on a PC, the material created by the application may be a proposal material for sales or a material for internal advertisement. However, it is difficult to grasp what materials are actually created. In addition, for each of a large amount of image data on a PC screen, it is possible to obtain information on an application used on the PC from the image data, but it is difficult to specify an analysis target person using the application. For this reason, it is difficult to grasp the individual behavior of each person to be analyzed.

  As another example of the technology related to business improvement for the behavior analysis apparatus described in Non-Patent Document 1, behavior schedule data composed of a schedule start time, a schedule end time, action contents, etc. There is a behavior analysis technique that uses a scheduler (electronic schedule) registered according to a schedule and analyzes the schedule data of the scheduler. However, with behavior analysis technology using a scheduler, pre-registered action schedule data may deviate from the actual analysis subject's action due to schedule changes, postponements, cancellations, etc. There is a problem that the period (start time and end time) cannot be accurately grasped. Furthermore, in behavior analysis for extracting room for business improvement, if there is a situation where pre-registered action schedule data differs from the actual behavior of the person being analyzed, there are often problems to be analyzed in that situation. There is a possibility that the data for behavior analysis for performing behavior analysis will be insufficient.

  Further, as still another example of the business improvement technology, the location information of the analysis subject is recorded constantly or at regular intervals using the location specifying terminal owned by the analysis subject, and the location information is based on the location information. Furthermore, a behavior analysis technique for recording and statistically analyzing the locations of individual persons to be analyzed and the location distribution of a plurality of persons to be analyzed has been proposed. However, the behavior analysis technique based on the position information has a problem that the analysis target person's behavior cannot be grasped because only the position information is stored.

  The present invention has been made in view of the above problems, and its purpose is necessary for behavior analysis without complicating and increasing the cost of the apparatus configuration and without increasing the load on the subject of analysis. The point is to provide a behavior analysis device capable of collecting more accurate and more accurate information. In addition, using the behavior analysis device, the information required for behavior analysis is enhanced more accurately and without complicating and increasing the cost of the device configuration and without increasing the load on the subject of analysis. An IP telephone system that can be collected.

In order to achieve the above object, a behavior analysis apparatus according to the present invention is a behavior analysis apparatus that performs behavior analysis of a plurality of analysis subjects by computer data processing, and for each analysis target person in a predetermined analysis period. Each of the analysis target person's action schedules includes at least a scheduled action period defined by the scheduled start time and the scheduled end time of the action schedule, and the analysis target person's scheduled position information, the action schedule content, and the action Schedule storage means for accepting and storing input of action schedule data configured to be able to register incidental information including at least one of other participant information of the schedule, and for each analysis target person in the analysis period , based on the data communication with the analyzed user terminal to the analysis subject possessed, the first location information of the first relaying repeater data from the analysis target terminal or Acquires second position information where the analyte terminal comprising geodetic means has acquired, the first position information or by using at least one of the second position information, a predetermined position detection unit time intervals or continuously , A position specifying means for determining the position of the person to be analyzed to obtain position information, and a record for storing a plurality of action result data based on the position information specified by the position specifying means for each person to be analyzed For each of the analysis target persons, the storage means performs a matching process for associating the action schedule data with the action result data for each action schedule data in the analysis period, and adds the position information of the associated action result data to the position information. and a collating means for modifying the activity schedule data respectively based, the actual storage means exceeds a predetermined location determination time in the position specifying means When the same position information is subsequently detected, the position indicated by the position information is set as a location specifying position, and the location specifying period defined by the location specifying position and the detection start time and the detection end time of the location specifying position is determined. The action result data included as a result action period is stored, and the collating means includes a part or all of the location specifying period of the action result data to be collated for each action result data in the matching process. When the action schedule data having the scheduled action period is searched and one action schedule data is extracted, the extracted action schedule data is associated with the action result data to be verified, and the verification unit further includes: For each of the action schedule data associated with the action result data, the action results associated with the scheduled action period of the action schedule data. When the data does not completely match the actual action period, the first feature is to perform a correction process for correcting the scheduled action period of the associated action schedule data so as to match the actual action period. To do.

More preferably, in the behavior analysis apparatus according to the present invention having the above characteristics, the collating unit includes a part or all of the location specifying period of the behavior result data to be verified for each behavior result data including the location specifying position. Is searched for the action schedule data having the scheduled position information coincident with the location specific position of the action result data, and the one action schedule data is extracted. When the extracted action schedule data is associated with the action result data to be verified, and a plurality of the action schedule data are extracted, the other action schedules among the plurality of extracted action schedule data are extracted. About the single action schedule data in which the data and the scheduled action period do not overlap, the action results to be verified based on the scheduled action period of the single action schedule data The location specific period of the data is divided into a plurality of new action result data for each of the divided location specific periods, and each of the single action schedule data and the scheduled action period of the single action schedule data are the same. The first matching process is performed for all the action result data, in which the action result data having the location specific period overlapping part or all are associated with each other, and the associated action schedule data is excluded from the search target To do.

More preferably, in the behavior analysis apparatus according to the present invention having the above characteristics, the behavior of each of the scheduled behavior data not associated with each other after the collation unit executes the first verification processing for all the behavior result data. Based on the incidental information other than the scheduled position information of the scheduled data, a second matching process is performed for associating with the action result data not associated with each other.

More preferably, in the behavior analysis apparatus according to the present invention of any one of the above features, the result storage means sets a period excluding the location specific period in the analysis period as a location indefinite period, and for each location indefinite period. , Action result data including the location indefinite period as a result action period is stored.

More preferably, in the behavior analysis apparatus according to the present invention having the above characteristics, the collating means includes a part or all of the location indefinite period of the behavior result data to be verified for each behavior result data including the location indefinite period. When the action schedule data that has the scheduled action periods that overlap and the schedule position information is not registered and one of the action schedule data is extracted, the extracted action schedule data and When the action result data to be collated is associated and a plurality of the action schedule data are extracted, the other action schedule data and the scheduled action period do not overlap among the extracted action schedule data. For the single action schedule data, based on the scheduled action period of the single action schedule data, the location indefinite period of the action result data to be verified is divided, A plurality of new action performance data for each of the determined location indefinite periods, and the location determination indefinite period in which a part or all of the scheduled action periods of the single action schedule data and the scheduled action period of the single action schedule data overlap each other. The third matching process for associating the action result data with each other and excluding the associated action schedule data from the search target is executed for all the action result data.

More preferably, in the behavior analysis apparatus according to the present invention having any one of the above features , for each of the behavior schedule data that is not associated after the collation unit performs the collation process, A first association rule that associates action schedule data with the action result data having the detection start time closest to the schedule start time of the action schedule data, and for each action schedule data, the action schedule data is the location A second association rule for associating the action period data with the action result data closest in length to the scheduled action period of the action schedule data, and associating the action schedule data with the action result data in a time-series order. The fourth matching process for associating any one of the association rules or combining at least any two of them is executed. To.

In order to achieve the above object, a behavior analysis apparatus according to the present invention is a behavior analysis apparatus that performs behavior analysis of a plurality of analysis subjects by computer data processing, and for each analysis target person in a predetermined analysis period. Each of the analysis target person's action schedules includes at least a scheduled action period defined by the scheduled start time and the scheduled end time of the action schedule, and the analysis target person's scheduled position information, the action schedule content, and the action Schedule storage means for accepting and storing input of action schedule data configured to be able to register incidental information including at least one of other participant information of the schedule, and for each analysis target person in the analysis period Based on the data communication with the analysis target person terminal possessed by the analysis target person, the first position information of the relay device that relays the data from the analysis target person terminal first. Acquires second position information acquired by the analysis subject terminal including a geodetic means, and uses at least one of the first position information and the second position information at every predetermined position detection unit time or constantly. , A position specifying means for determining the position of the person to be analyzed to obtain position information, and a record for storing a plurality of action result data based on the position information specified by the position specifying means for each person to be analyzed For each of the analysis target persons, the storage means performs a matching process for associating the action schedule data with the action result data for each action schedule data in the analysis period, and adds the position information of the associated action result data to the position information. A verification unit that corrects each of the action schedule data based on the result storage unit, and the result storage unit exceeds a predetermined location determination time in the position specifying unit. When the same position information is subsequently detected, the position indicated by the position information is set as a location specifying position, and the location specifying period defined by the location specifying position and the detection start time and the detection end time of the location specifying position is determined. The action result data included as a result action period is stored, and the verification unit detects the action schedule data for each action schedule data in the analysis period, which is closest to the schedule start time of the action schedule data. In the first association rule associated with the action result data having a start time, in the analysis period, for each action schedule data, the action schedule data is the length of the location specific period and the scheduled action of the action schedule data. A second association rule associated with the action result data closest to the length of the period, and the action schedule data and the action actual in the analysis period The achievement data is associated with any one of the third association rules for associating in time-sequential order or a combination of at least any two of these, and the matching means further corresponds to the action result data For each of the attached action schedule data, when the scheduled action period of the action schedule data does not completely match the actual action period of the associated action result data, the associated action schedule data A second feature is that a correction process for correcting the scheduled action period so as to match the actual action period is performed.

  The behavior analysis apparatus according to the present invention having any one of the features described above includes a correction unit that corrects the behavior schedule data by an external operation input.

  In order to achieve the above object, an IP telephone system according to the present invention is an IP telephone system including the behavior analysis device having any one of the above characteristics, and the analysis subject person terminal including the wireless IP telephone function. A plurality of wireless access points configured to be capable of data communication with the analysis target person terminal, and a telephone communication control function for the analysis target person terminal, and data communication between the analysis target terminal and the wireless access point An IP telephone communication control server that specifies the position of the analysis subject person terminal and stores the position information of the analysis subject terminal based on the IP telephone communication control server. The position specifying means acquires the position information of the analysis subject person terminal stored in the IP telephone communication control server, and And identifies the position of the analyte terminal.

  According to the behavior analysis apparatus having the above characteristics, the behavior schedule data input to the schedule storage means (for example, scheduler) is collated with the action result data stored based on the actual position information of the analysis target person, Since the action schedule data is corrected using the result data, it becomes possible to obtain action analysis data (corrected action schedule data) whose action period matches the actual action of the analysis target person. . Therefore, according to the behavior analysis apparatus having the above characteristics, the behavior schedule data and the actual behavior of the person to be analyzed do not deviate as in the case of performing behavior analysis using only the scheduler. It becomes possible to implement more appropriately. In addition, since the behavior analysis apparatus having the first feature is configured such that incidental information can be recorded in each behavior schedule data of the schedule storage unit, in the behavior schedule data in which the content of the behavior schedule is recorded, the behavior of the analysis target person is recorded. It becomes possible to grasp. For this reason, it is possible to avoid a situation in which the details of the behavior of the analysis subject cannot be fully understood, as in the case of statistical analysis of the location of the analysis subject and the location distribution of the analysis subject based on the position information. Therefore, according to the behavior analysis apparatus having the above characteristics, the behavior schedule data and the behavior result data based on the position information are collated for each analysis target person, and the behavior schedule data is corrected using the behavior result data. Therefore, the corrected action schedule data is obtained by simultaneously realizing both matching with the actual behavior of the analysis target person and making it possible to grasp the actual action content of the analysis target person to some extent. Thus, according to the behavior analysis device having the above characteristics, it is possible to obtain more accurate and more complete information as behavior analysis data, and it is possible to reduce the ambiguity of the behavior analysis result. .

Furthermore, according to the behavior analysis device having any one of the above characteristics, the action schedule data input to the schedule storage unit and the action result data based on the actual position information of the analysis target person are collated. Even when a plurality of action schedule data having overlapping scheduled action periods are registered, it is possible to more accurately grasp the behavior of the analysis target person by correcting the overlapping registration based on the matching process. In addition, according to the behavior analysis apparatus having any one of the above features , the analysis subject's work is only input to the schedule storage means, and the load on the behavior analysis of the analysis subject can be reduced. Furthermore, in the behavioral analysis apparatus having any of the above characteristics , the position specifying means can use a terminal having a conventional position detection function, such as a mobile phone, for example, as the analysis subject terminal. When constructing a behavior analysis apparatus, it is possible to construct a behavior analysis apparatus at low cost without newly requiring dedicated equipment.

According to the behavior analysis device of any of the above features, when the same position information is detected continuously beyond the location determination time, the result storage means is configured to determine the location specific position and the location specific period based on the location information. Since it memorize | stores so that it can memorize | store, it can be judged appropriately whether it is the location specific period when an analysis subject stays in a fixed position. Further, in the behavior analysis device having any one of the above characteristics , for example, if only the location specific position, the detection start time, and the detection end time are recorded as the action result data, the analysis target person is related to the position information. The amount of action result data can be reduced. As a result, the behavior analysis apparatus according to the present invention can be constructed at low cost. Moreover, since the data amount of action performance data can be reduced, it becomes easy to deal with many analysis subjects.
Furthermore, in the behavior analysis apparatus having the first feature, the behavior result data in which the location of the analysis target is specified is configured to be associated based on two pieces of information of the location specifying period and the location specifying position. As a result, the matching process can be executed more appropriately.

If the behavior analysis apparatus having the first feature is configured to perform the second matching process between the action schedule data and the action result data based on the incidental information , for example, the location specifying position is the action for which the second matching process is performed. It becomes possible to make it correspond with the action result data different from the plan position information of the plan data. That is, by using incidental information other than scheduled position information, it becomes possible to appropriately and uniquely associate action schedule data that is not associated with the first matching process with action result data. The achievement rate can be improved.

In the behavior analysis apparatus having the first feature described above, if the result storage unit is configured to store a period of time other than the location specific position as a location indefinite period and store behavior result data including the location indefinite period , the analysis target moves The period during which it can be determined that the user is doing (not staying at a certain position) can be stored as action result data. Further, in the behavior analysis apparatus having the first feature , for example, only the start time and end time between location irregularities, or only the position information at the start time and the end time between location irregularities is recorded as behavior result data. If comprised so, it can reduce the data amount of the action performance data which concerns on position information about each analysis object person. As a result, the behavior analysis device according to the present invention can be constructed at low cost, and it becomes easy to deal with a large number of analysis subjects. Further, in the behavior analysis device having the first feature, the action result data in which the location of the analysis target is not specified is associated with the action schedule data in which the planned position information is not stored based on the irregular location. If configured to do so, the matching process can be executed more appropriately.

In the behavior analysis apparatus having the first feature, the collating unit is configured to set the first association rule based on the schedule start time and the length of the location specific period for the activity schedule data that is not associated by the first to third matching processes. If the association is performed by combining any one of the second association rule based on the third association rule based on the time series order, or a combination of a plurality of association rules , the association is not performed by the first to third matching processes. The action schedule data can be appropriately and uniquely associated with the action result data, and the degree of establishment of the association in the matching process can be improved.

According to the behavior analysis device of the second feature, the collating means includes a first association rule based on the scheduled start time, a second association rule based on the length of the specific location period, and a third association in time series order. Since the association is performed by combining any one or a plurality of rules, it is possible to perform the association having a high degree of establishment in the matching process.

According to the behavior analysis apparatus having any one of the above characteristics , the matching unit performs correction processing for correcting each scheduled behavior data so that the scheduled behavior period matches the actual behavior period of the associated behavior performance data. In addition, it is possible to automatically correct the action schedule data to data according to the actual behavior of the analysis target person without imposing a load on the analysis target person.

If the behavior analysis apparatus having any of the above features is configured to include a correction unit that corrects the action schedule data by an external operation input, the action schedule data that cannot be uniquely associated with normal computer processing Or correction of action schedule data that is difficult to automatically correct, for example, correction of start time and end time of two action schedule data having the same schedule position information and overlapping schedule action periods (the boundary time between two action schedule data) Confirmation) etc. becomes possible.

According to the IP telephone system having the above characteristics, since the behavior analysis apparatus having any one of the above characteristics is provided, all the operational effects of the behavior analysis apparatus having the above characteristics can be achieved in the behavior analysis. In other words, the behavior analysis apparatus having the above characteristics obtains action schedule data that simultaneously achieves both the matching of the actual behavior of the analysis target person and the grasp of the actual action content of the analysis target person to some extent. It becomes possible. This makes it possible to collect information required for behavior analysis more accurately and more fully without complicating and increasing the cost of the device configuration and without increasing the load on the subject of analysis. It becomes possible to obtain a system.

  DESCRIPTION OF THE PREFERRED EMBODIMENTS Embodiments of a behavior analysis apparatus and an IP telephone system (hereinafter referred to as “present invention apparatus” and “present invention system” as appropriate) according to the present invention will be described below with reference to the drawings.

  First, the configuration of the device of the present invention will be described with reference to FIGS. 1 and 2. Here, FIG. 1 is a block diagram showing a schematic configuration of the system 10 of the present invention and a connection configuration of the device 1 of the present invention and its peripheral devices installed in the system 10 of the present invention, and FIG. 1 is a block diagram showing a schematic configuration of 1. FIG.

  In the present embodiment, the device 1 of the present invention is constructed in software, and a behavior analysis support program that realizes each means of the device 1 of the present invention is executed on a computer, whereby the behavior schedules of a plurality of analysis subjects are scheduled. Data and behavioral performance data are collected and collated to conduct behavioral analysis. As shown in FIG. 1, the device 1 of the present invention is installed on a system 10 of the present invention built in a predetermined company. More specifically, the system 10 of the present invention includes a plurality of LANs 13, and FIG. 1 illustrates three LANs 13a to 13c for the sake of simplicity. The device 1 of the present invention is installed in the LAN 13c. In addition to the device 1 of the present invention, the LAN 13c specifies and stores the position of each mobile terminal 30 based on data communication between the wireless access point 15 and each mobile terminal 30 having a mobile phone function and a wireless IP phone function. In addition, an SIP server 12 (corresponding to an IP telephone communication control server) having a telephone communication control function for connecting the portable terminal 30 to another portable terminal 30 and the portable telephone network 40, and an external network such as the portable telephone network 40 An external communication gateway 11 for connection is installed. The LAN 13c is connected to the LAN 13a via the router 14a and to the LAN 13b via the router 14b. Further, each LAN 13 is provided with one or a plurality of wireless access points 15 and terminal devices such as a personal computer 16 (PC 16). The device 1 of the present invention is configured to be capable of data communication with a SIP server 12, an external communication gateway 11, a terminal device such as a PC 16 connected to the LAN 13a and the LAN 13b.

  As shown in FIG. 2, the device 1 of the present invention has at least a scheduled start time and a scheduled end time of an action schedule for each analysis target person, according to the action schedule of the analysis target person in a predetermined analysis period (for example, 10 business days). In addition to the scheduled action period specified in the above, it is configured to be able to register incidental information including at least one of the scheduled position information of the analysis subject, the contents of the action schedule, and other participant information of the action schedule Based on data communication between the schedule storage means 2 that receives and stores the input of action schedule data and the analysis target person terminal 30 possessed by the analysis target person for each analysis target in the analysis period, a predetermined position detection unit Based on the position information specified by the position specifying means 3 for each analysis target, the position specifying means 3 for specifying the position of the analysis target person and determining the position information for each time or always, For each person to be analyzed, and for each action schedule data in the analysis period, a matching process for associating the action schedule data with the action record data is performed, and based on the position information of the associated action record data And collation means 5 for correcting each of the action schedule data. Further, in the present embodiment, the device 1 of the present invention includes a correction unit 6 that corrects the action schedule data by an external operation input, and a behavior analysis that performs a behavior analysis of the analysis target person after the correction by the matching unit 5 or the correction unit 6. Means 7 are provided.

  In the present embodiment, the display unit 8 for displaying a scheduler screen for inputting / correcting action schedule data on the display screen of a predetermined terminal operated by the analysis target person, and the SIP server 12 and the like via the LAN 13c. The communication interface 9 for performing data communication with the peripheral device is provided.

  The schedule storage means 2 generates or corrects action schedule data on the scheduler screen displayed by the display means 8 when the action schedule is input or corrected by an external operation input based on the input or corrected data. The data is stored in the action schedule data storage unit M1 configured with a fixed disk, a non-volatile memory, or the like. Here, FIG. 3 shows an example of a scheduler screen displayed on the display screen of the terminal device of the authenticated input person by the display means 8. The scheduler screen is configured to input or modify a scheduled action period defined by a scheduled start time and a scheduled end time for each action schedule. Furthermore, in this scheduler screen, not only the analysis target person can input his / her action schedule data but also the authorized person can input and modify the analysis target person's action schedule data. It is configured. Further, as the terminal device of the input person, for example, a terminal device such as a PC 16 connected to the LAN 13 is assumed. In addition, in this scheduler screen, the contents of action schedules such as material creation and meetings, scheduled position information such as the A meeting room and own seats, and other participant information can be input as incidental information. Among them, when an action schedule content and schedule position information are input, the schedule screen is displayed on the scheduler screen. Further, the schedule storage means 2 of the present embodiment does not need to input the action schedule data completely in the analysis period, and the schedule position information such as movement is indefinite during the period when the action schedule data is not input. It is configured so that the collation process is performed by the collation means 5 described later, which is regarded as certain action schedule data. Note that the action schedule data need not be input before the action. As long as it is before the collation process by the collation means 5 mentioned later, you may input later after action. Moreover, the input data may be corrected.

  As shown in FIG. 1, the position specifying means 3 is assumed to be a mobile terminal 30 having a mobile phone function and a wireless IP phone function as the analysis subject person terminal 30 in this embodiment. Based on data communication with the telephone base station 20 or the wireless access point 15, the position information stored on the SIP server 12 is obtained every position detection unit time or at all times, and the position of the person to be analyzed is specified. The position of the person to be analyzed is specified based on the position information of the base station of the mobile phone with which the mobile terminal 30 performs data communication or the position information of the access point of the wireless LAN 13.

  The result storage means 4 acquires the position information specified by the position specifying means 3, generates action result data, and stores the action result data in the action result data storage unit M2 configured by a fixed disk, a nonvolatile memory, or the like. More specifically, the result storage unit 4 of the present embodiment is configured so that the position specifying unit 3 detects the position information when the same position information is detected continuously over a predetermined location determination time (for example, 5 minutes). The position indicated by the information is defined as a location specific position, and action result data including the location specific period defined by the location specific position and the detection start time and detection end time of the location specific position as the actual action period is stored. Further, the result storage means 4 stores the action result data including the period of indefinite period as the actual action period for each position indefinite period, excluding the specific period of the analysis period.

  The collation means 5 is a collation process for associating the action schedule data input by the schedule storage means 2 with the action result data stored by the result storage means 4 in the analysis period (10 business days in this embodiment), and A correction process for correcting each of the action schedule data is performed based on the position information of the attached action result data. In the present embodiment, the matching process is composed of first to fourth matching processes.

  The procedure of the collation process in the collation means 5 is demonstrated based on FIGS. Here, FIG. 4 is a flowchart showing the processing procedure of the collation processing in the device 1 of the present invention, FIG. 5 is a flowchart showing the processing procedure of the first collation processing, and FIG. 7 is the processing of the third collation processing. FIG. 8 is a flowchart showing a processing procedure of the second matching process.

  When the collation unit 5 starts the collation process, first, action result data to be collated in the collation process is selected from uncollated action result data in which neither of the first and third collation processes is executed (step) # 110).

  When the location specific position is stored as incidental information in the action result data selected in step # 110 (Yes in step # 120), the matching unit 5 performs the first matching process on the action result data to be verified. Is performed (step # 130). As shown in FIG. 5, the matching unit 5 first has a scheduled action period that partially or entirely overlaps with the location specifying period of the action result data to be verified as shown in FIG. 5, and the action result data The action schedule data having the schedule position information that matches the location specific position is searched (step # 131). If the action plan data is not searched in step # 131 ("0" branch in step # 131), the matching unit 5 ends the first matching process. In step # 131, when one action schedule data is retrieved ("1" branch in step # 131), the retrieved action schedule data is associated with the action result data to be verified (step # 132). The attached action schedule data is excluded from the search target, and the first matching process is terminated.

  When a plurality of action schedule data are searched in step # 131 ("plurality" branch in step # 131), the collation means 5 includes other action schedule data and a scheduled action period among the extracted action schedule data. If there is single action schedule data that does not overlap (Yes in step # 133), the location specific period of the action result data to be verified is divided based on the scheduled action period of the single action schedule data (step # 134). ), And a plurality of new action result data for each divided location specific period. Here, FIG. 6 shows a division example of the location specific period of the action result data.

  More specifically, in the present embodiment, for example, as shown in FIG. 6A, the matching unit 5 stores the single action schedule data Dp1 and the single action schedule data Dp2 in the action schedule data storage unit M1, and the action results. When the data De1 is stored in the action result data storage unit M2, the action result data De1 is divided at the scheduled start time of the single action schedule data Dp2, and the action result data De2 and De3 are set as new action result data. Further, for example, as shown in FIG. 6B, the action result data De1 is divided at an arbitrary time between the scheduled end time of the single action schedule data Dp1 and the scheduled start time of the single action schedule data Dp2, and the action result is obtained. The data De4 and De5 may be configured as new action result data. In the present embodiment, since the action schedule data having the scheduled position information that matches the specific location of the action result data to be collated is searched in step # 131, the single action schedule data Dp1 and the single action schedule data Dp2 are searched. Stores the same scheduled position information. For this reason, when the period between the single action schedule data Dp1 and the single action schedule data Dp2 is somewhat short, it is considered unnecessary to assume other actions such as movement. However, when the period between the single action schedule data Dp1 and the single action schedule data Dp2 is considerably long, other schedules such as a break are taken into consideration, as shown in FIG. The action result data De1 may be divided at the scheduled end time and the scheduled start time of the single action schedule data Dp2, and the action result data De6, De7, and De8 may be used as new action result data. Also, for example, as shown in FIG. 6 (d), if the overlapping action schedule data Dp3 whose schedule action period overlaps with the other action schedule data Dp4 is registered next to the single action schedule data Dp1, The action result data De1 may be divided at the scheduled start time of the action schedule data Dp3, and the action result data De9 and De10 may be configured as new action result data, as shown in FIG. The action result data De1 is divided at an arbitrary time between the schedule end time of the single action schedule data Dp1 and the schedule start time of the duplicate action schedule data Dp3, and the action result data De11 and De12 are set as new action result data. It may be configured. When the period between the scheduled end time of the single action schedule data Dp1 and the scheduled start time of the duplicate action schedule data Dp3 is considerably long, as shown in FIG. 6 (f), the scheduled end of the single action schedule data Dp1 The action result data De1 may be divided by the time and the scheduled start time of the overlapping action schedule data Dp3, and the action result data De13, De14, and De15 may be configured as new action result data.

  After the action result data is divided (step # 134), the verification unit 5 partially or entirely overlaps each of the single action schedule data extracted in step # 131 and the scheduled action period of the extracted single action schedule data. The action result data (the action result data after being divided in step # 134) having the location specific period to be associated are respectively associated (step # 135), the associated action schedule data is excluded from the search target, and the first verification The process ends.

  In step # 131, the collation means 5 retrieves a plurality of action schedule data (“plurality” branch in step # 131), and the plurality of extracted action schedule data alone does not overlap with other action schedule data. When there is no action schedule data (No branch at step # 133), the first matching process is terminated.

  As shown in FIG. 4, the collation means 5 has action result data in which neither the first collation process nor the third collation process described later is performed after the first collation process (step # 130) is completed. (Yes in step # 140), action result data to be verified in the verification process is selected again (step # 110).

  When the location specific position is not stored as incidental information in the action result data selected in step # 110 (No branch in step # 120), the matching unit 5 performs the third matching process on the action result data to be checked. (Step # 150). As shown in FIG. 7, the matching unit 5 first has a scheduled action period partially or wholly overlapped with the indefinite period of the action result data to be verified in the third matching process, and the scheduled position information Search for action schedule data in which is not registered (step # 151). If the action plan data is not searched in step # 151 (“0” branch in step # 151), the matching unit 5 ends the third matching process. When one action schedule data is searched in step # 151 ("1" branch in step # 151), the searched action schedule data is associated with action result data to be collated (step # 152). The attached action schedule data is excluded from the search target, and the third matching process is terminated.

  When a plurality of action schedule data are searched in step # 151 ("plurality" branch in step # 151), the collation means 5 includes other action schedule data and a scheduled action period among the extracted action schedule data. If there is single action schedule data that does not overlap (Yes in step # 153), the location indefinite period of the action result data to be verified is divided based on the scheduled action period of the single action schedule data (step # 154). ), And a plurality of new action result data for each divided indefinite period. In the present embodiment, the procedure for dividing the location irregularity is the same as the procedure for dividing the location specifying period in step # 134 of the first matching process.

  Subsequently, the verification unit 5 divides the action result data (step # 154), and then each of the single action schedule data extracted in step # 151 and the scheduled action period and part or all of the extracted single action schedule data. Are associated with each other (actual result data after being divided at step # 154) (step # 155), the associated action schedule data is excluded from the search target, 3 The collation process is terminated.

  As shown in FIG. 4, when the third matching process (step # 150) is completed, the matching means 5 has action result data in which neither the first matching process nor the third matching process is executed (step (Yes branch at # 160), action result data to be collated in the collation process is selected again (step # 110).

  The collation means 5 executes either the first collation process or the third collation process for all action result data (No branch at step # 140 or No branch at step # 160), and then the first collation process at step # 170. 2 The process proceeds to the verification process.

  In the second matching process (step # 170), the matching unit 5 performs additional information other than position information on each of the action result data that is not associated after execution of the first matching process or the third matching process, Based on the content of the action schedule and other participant information of the action schedule, the action schedule data that is not associated is associated.

  Specifically, as shown in FIG. 8, the matching unit 5 first selects action result data to be verified in the second matching process from the action result data not associated (step # 171). If action result data to be verified is not searched (No branch at step # 171), the second verification process is terminated. When the action result data to be collated is searched in step # 171, the collation means 5 has a scheduled action period partially or entirely overlapped with the location specific period of the action result data to be collated. The action schedule data in which the participant information is stored is searched (step # 172). When the action schedule data for which the periods overlap and the participant information is stored is searched for (Yes branch at step # 172), the matching means 5 is based on the searched participant information of each action schedule data. Identify other prospective participants. Then, the participant who is considered to have participated in the same action schedule as the analysis target person by comparing and referring to the specific position of the specified action result data of the participant and the specific position of the action result data to be analyzed by the analysis target person And the participation rate (participation rate including the person to be analyzed) may be calculated for all participants scheduled (step # 173). The collation means 5 associates the action schedule data whose participation rate is equal to or higher than a predetermined determination rate with the action result data to be collated (step # 174). The collating unit 5 determines whether or not the action schedule data in which the periods overlap and the participant information is stored is searched (No branch at step # 172), or after the association at step # 174, the step # 171 is performed. To select the next action result data to be verified.

  As shown in FIG. 4, after the second matching process (step # 170) is performed, the matching unit 5 performs the fourth matching process (step # 180) for action result data that is not associated by the first to third matching processes. Execute. In the present embodiment, the matching unit 5 associates the action schedule data with the action result data having the detection start time closest to the schedule start time of the action schedule data for each action schedule data in the fourth matching process. For each attachment rule and action schedule data, the second association rule, action schedule data and action for associating the action schedule data with action result data whose location specific period is closest to the length of the scheduled action period of the action schedule data Association is performed using a third association rule for associating the result data in time series order. The verification unit 5 ends the verification process after executing the fourth verification process.

  Specifically, in the fourth matching process, the matching unit 5 first sequentially selects action result data to be verified from action result data not associated with each other. For example, the collating unit 5 includes the number of unmatched action result data between the two matched action result data and the two matched results associated with the two matched action result data. When the number of action schedule data which is not matched between action schedule data is the same, these are matched in time series order (3rd matching rule). In the case where the number of unmatched action result data between the two verified action result data differs from the number of unscheduled action schedule data between the two verified action schedule data In accordance with the first association rule, each action result data to be verified is associated with action schedule data whose action scheduled start time is closest to the start time of the actual action period of the action result data to be verified. For example, when there is two or more action schedule data having the same length of the period between the action schedule start time and the actual action period start time when the first association rule cannot be associated, the second association rule Based on the action schedule data having the scheduled action period with the length closest to the length of the specific location period in the action result data to be verified.

  When the collation means 5 does not completely match the actual action period of the action result data associated with the scheduled action period of the action schedule data for each of the action schedule data associated with the action result data after execution of the matching process. Performs a correction process for correcting the scheduled action period of the associated action schedule data so as to match the actual action period. Further, in the present embodiment, the collation means 5 further, in the case of action schedule data in which the planned position information is stored, when the planned position information is different from the location specific position of the associated action result data The planned position information is corrected to the specific position.

  Specifically, for example, as shown by a dashed line S1 in FIG. 3, the collating unit 5 stores the action schedule data in which “document preparation 1” is stored as the action schedule contents and “self-seat” is stored as the schedule position information. When the action schedule data in which “conference 1” is stored as the content of the action schedule and “A meeting room” is stored as the schedule position information is completely overlapped, the action result data to be verified in the first verification process Only one of the action schedule data is associated with the action result data according to the location specific position. In this case, with respect to one of the associated action schedule data, the scheduled action period is corrected so as to match the actual action period of the associated action result data, and the action schedule data that is not associated is deleted. In FIG. 3, as indicated by a dashed line S <b> 2, action schedule data in which “conference 2” is stored as the content of the action schedule, “B meeting room” is stored as the schedule position information, and “seminar” is the content of the action schedule. When two of the action schedule data in which “going out” is stored as the schedule position information partially overlap, the scheduled action period is determined based on the action action period of the action result data associated with each of the action schedule data. Correct so that it does not overlap.

  The correction means 6 displays the action schedule data corrected by the collating means 5 on the scheduler screen by the display means 8, accepts external operation input, and corrects the action schedule data. For the action schedule data that is not associated by the first to fourth collation processes by the correcting means 6, for example, a plurality of action schedule data in which the location specific positions where the scheduled action periods overlap are not recorded, Corrections can be made based on behavior. In the apparatus 1 of the present invention, after the automatic correction by the collating means 5, the correction means 6 makes corrections by the analysis target person and so on, so the load on the analysis target person can be minimized. become.

  The behavior analysis means 7 performs behavior analysis using the action schedule data for each person to be analyzed after the correction by the matching means 5 or the correction means 6, and presents the behavior analysis result in response to a request for presentation of the behavior analysis result. Here, the behavior analysis result presentation request is configured to be able to specify an analysis period. For example, when a behavior analysis result presentation request is made from the PC 16 connected to the LAN 13a shown in FIG. 1 by designating an analysis period, the matching unit 5 displays the behavior analysis result in the designated analysis period on the display unit 8. To display on the PC screen of the PC 16.

  More specifically, the behavior analysis means 7 of the present embodiment includes a first behavior analysis that analyzes the travel time for each base, a second behavior analysis that analyzes the number of travels and the travel rate for each person to be analyzed, and the status of the meeting. 3rd behavior analysis, 4th behavior analysis that analyzes presence / separation behavior for each subject of analysis, 5th behavior analysis that analyzes stay time inside and outside the organization by subject, and between departments (affiliations) 6th behavioral analysis that analyzes the contact behavior of the user, 7th behavioral analysis that analyzes the degree of divergence of the behavioral performance data with respect to the scheduled behavior data of the scheduler, 8th behavioral analysis that analyzes the degree of work concentration for each analysis target, and the environment of the work space 9th behavior analysis to analyze the 10th behavior analysis to analyze the fixed pattern, 11th behavior analysis to analyze the emergency behavior for normal times, 12th behavior analysis to analyze the browsing behavior to exhibits etc., meeting fee First to analyze 3) Behavior analysis and 14th behavior analysis for analyzing the usage status of in-house equipment are performed and the results are presented. Further, the results of the first behavior analysis to the 14th behavior analysis are obtained and compared with each other. indicate.

  More specifically, the behavior analysis means 7 in the first behavior analysis that analyzes the travel time for each base, the behavior indicating the movement between the bases to be analyzed from the action schedule data of all the target persons in the analysis period. Statistical analysis processing that searches the planned data and calculates the average value of the entire analysis target and the travel time distribution and average value by season, day of the week, and time zone for the travel time between the bases to be analyzed Execute. Eventually, the behavior analysis means 7 presents the analysis target person with the long travel time in the order of the long travel time as a result of the first behavior analysis, and presents between the bases whose number of travels is a predetermined value or more. Thus, for example, by specifying the top five places in order from the analysis person with the long travel time and urging the identified analysis person to improve the travel time, the improvement of the travel time of the analysis person with the long travel time Can be achieved. In addition, between sites where the number of trips is greater than or equal to the specified value and productivity can be improved by improving the trip time, a shuttle bus is newly installed or added between the locations to reduce travel time and transportation costs. It is possible to take measures such as

  In the second behavior analysis for analyzing the number of movements and the movement rate for each analysis target person, the behavior analysis means 7 is an action indicating a movement in which the location specific position is not stored from the action schedule data of all the analysis target persons in the analysis period. Search for scheduled data, and by number of analysts or affiliations of analysts, the number of transfers in the analysis period, the total travel time in the analysis period, and the total travel time in the analysis period divided by the total working hours in the analysis period Calculate the travel time rate. Eventually, the behavior analysis means 7 presents the analysis subject or the affiliation with the large travel time rate in the descending order of the travel time rate as a result of the second behavior analysis. As a result, for example, it is possible to improve productivity by urging an analysis target person or affiliation that is considered to have a large movement time rate and a lot of useless movement to reduce the movement time.

  In the third behavior analysis for analyzing the holding status of the conference, the behavior analysis means 7 is a behavior in which “meeting” is stored as the content of the behavior schedule of the incidental information from the behavior schedule data of all the analysis target persons in the analysis period. The scheduled data is searched, and the total meeting time in the analysis period and the meeting time ratio that is the ratio of the meeting time to the work time are calculated for each analysis target person or each analysis subject person's affiliation. Eventually, the behavior analysis means 7 specifies and presents the analysis target person or the affiliation as the result of the third behavior analysis in the order of the total meeting time or in the descending order of the meeting time rate. As a result, productivity can be improved by, for example, encouraging reduction of the meeting time for the analyst / affiliation with a large total meeting time, or for the analyst / affiliation with a large meeting time rate. It becomes possible to plan.

  In the fourth behavior analysis in which the presence / separation behavior is analyzed for each analysis target person, the behavior analysis means 7 selects “seat” as the scheduled position information of the supplementary information from the action schedule data of all analysis target persons during the analysis period. Search the stored action schedule data and total the scheduled action periods of the searched action schedule data for each analysis target person, and the analysis person who is considered to be working at his / her own seat, or Then, the self-seat work time ratio is calculated by dividing the total self-work time by the total work hours in the analysis period. Eventually, the behavior analysis means 7 presents the self-sitting work time rate together with information on the affiliation of the analysis subject for each analysis subject as a result of the fourth behavior analysis. In this way, for example, an analysis target person belonging to an affiliated company with a lot of outing time, such as a sales department, who is an analysis target person with a large self-working time or a high self-working time ratio is encouraged to go out. it can. Also, desk work should be encouraged for those who belong to the affiliation who have a lot of their own work time, such as departments centered on desk work, and whose analysis time is low or their own work time ratio is small. it can. In this example, the total of self-seat work time or the self-seat work time rate is calculated. Also good.

  In the fifth behavior analysis for analyzing the stay time inside and outside the company for each analysis target, the behavior analysis means 7 is scheduled position information indicating that the user is in the company from the scheduled action data of all the analysis targets during the analysis period. Is searched for the action schedule data stored, and the total of the scheduled action periods of the searched action schedule data for each analysis target person is totaled, or the internal time that the analysis target person is considered to be in the company, or the internal time The in-house hour rate is calculated by dividing the total by the total working hours in the analysis period. Finally, the behavior analysis means 7 presents the total in-house time or the in-house time rate together with information on the affiliation of the analysis subject for each analysis subject as a result of the fifth behavior analysis. As a result, for example, an analyst who belongs to a company whose main organization is internal adjustment or internal work and who has a small total of in-house time or an analyst with a low in-house time rate can be used as an in-house work. It becomes possible to try to concentrate. In this example, the total internal time or the internal time rate is calculated. However, the total external time or the external time rate at which the analysis target person is considered to be outside the company may be calculated.

  In the sixth behavior analysis for analyzing the contact behavior between departments, the behavior analysis means 7 is based on the behavior schedule data of all the analysis subjects during the analysis period, and the analysis subjects belong to the analysis subject in each analysis target. Search for action schedule data with location information that is considered to be in another department different from the above, and total the scheduled action periods of the searched action schedule data to stay in other departments where the analysis target person is considered to be in contact with other departments A department staying time ratio is calculated by dividing the total time or the total staying time in other departments by the total working hours in the analysis period. Finally, as a result of the sixth behavior analysis, the behavior analysis means 7 adds, for each analysis target person, the sum of the normal contact time for each department and the other non-printing stay time, or the normal contact rate for each department and others. Present the department stay time rate. Thus, for example, for an analysis subject who has a considerably smaller total stay time in other departments than the total normal contact time between departments, or an analysis subject whose stay time rate in other departments is considerably smaller than the normal contact rate, Encourage them to increase the number of contacts and contact time between departments. Conversely, for analysts whose total time spent in other departments is considerably longer than the total normal contact time between departments, or for those who have a significantly higher time spent in other departments than the normal contact rate. It becomes possible to promote the analysis of

  In the seventh behavior analysis for analyzing the divergence degree of the action result data with respect to the action schedule data of the scheduler, the behavior analysis means 7 performs all the action schedule data before the correction and the action schedule data after the correction in the analysis period for each analysis target person. The degree of divergence is calculated by comparing (or the associated action performance data). More specifically, for example, the behavior analysis unit 7 determines whether or not the content of the action schedule of the incidental information and the schedule position information do not match before and after the correction of the action schedule data, or the scheduled start time or length of the scheduled action period. Is determined to be deviating when they are different from each other by a predetermined amount or more, and a deviation rate is calculated by dividing the number of scheduled action data determined to be deviated by the total number of scheduled action data. Finally, the behavior analysis means 7 presents a divergence rate for each analysis target for each department as a result of the seventh behavior analysis. As a result, for example, it is possible to compare the divergence rates of each of the analysis subjects belonging to the same affiliation, and to conduct business in a method with a relatively large divergence rate and low productivity compared to other analysis subjects. When there is an analysis subject who is considered to be high, productivity can be improved by encouraging the analysis subject to improve the business.

  In the eighth behavior analysis for analyzing the degree of work concentration for each analysis subject, the behavior analysis means 7 is a behavior in which planned position information is recorded for each analysis subject from the behavior plan data of all the analysis subjects during the analysis period. Search the scheduled data, total the scheduled action periods of the searched action schedule data, and analyze the total concentrated work time or the total concentrated work time that the subject of analysis is thought to be working intensively Find the rate of concentrated work hours divided by the total number of working hours in the period. Eventually, the behavior analysis means 7 specifies the person to be analyzed as a result of the eighth behavior analysis, together with the total concentrated work time or the concentrated work time rate, in the order of decreasing total concentrated work time or concentrated work time rate. And present it. As a result, for example, an analysis subject who is considered to have a very small sum of concentrated work hours, or a relatively low concentration work time rate and a short time for concentrated work, Productivity can be improved by encouraging business improvement.

  In the ninth behavior analysis for analyzing the environment of the business space, the behavior analysis means 7 includes a part or all of the scheduled behavior period overlapping from the behavior schedule data of all the analysis target persons in the analysis period, and the planned position information The action schedule data groups that match are defined as action schedule data groups, and the action schedule data groups are extracted, respectively, and the number of action schedule data included in the extracted action schedule data group (= number of persons to be analyzed) is obtained. Finally, the behavior analysis means 7 compares the number of seats in the room (business space) indicated by the position information with the number of persons to be analyzed for each extracted behavior plan data group as a result of the ninth behavior analysis, The number of persons to be analyzed is shown together with the number of seats for the room where the number of persons to be analyzed is larger than the number of persons, or the appropriate number of persons in the room determined from the size of the room indicated by the position information for each extracted action schedule data group The number of persons to be analyzed is compared, and the number of persons to be analyzed is presented together with the number of persons in the room with respect to the room having a larger number of persons to be analyzed than the number of persons in the room. As a result, it becomes possible to identify and respond to a room that requires a layout change in the room or addition of a conference space.

  In the tenth behavior analysis for analyzing the fixed pattern, the behavior analysis means 7 extracts the fixed pattern for each analysis target person or each affiliation from the action schedule data of all the analysis target persons in the analysis period. As the fixed pattern, for example, action schedule data for a regularly held meeting or the like is assumed. Furthermore, the behavior analysis means 7 specifies an analysis target person who is taking a behavior deviating from the standard pattern. Eventually, the behavior analysis means 7 presents the information of the analysis target person together with the specific pattern when the analysis target person who has taken the action deviating from the standard pattern is specified as a result of the tenth behavior analysis. As a result, it is possible to prompt the analysis target person taking an action deviating from the standard pattern to improve.

  In the eleventh behavior analysis for analyzing an emergency action for a normal time, the behavior analysis means 7 specifies a meeting place where the analysis target person gathers in an emergency from the action schedule data of all the analysis target persons in the analysis period. . Eventually, the behavior analysis means 7 presents the number of people who can stay at the specified meeting place and the number of visitors of the analysis target in the emergency as a result of the eleventh behavior analysis. As a result, in the event of an emergency, if the number of visitors is greater than the number of people who can stay at the meeting place, a new larger meeting place may be designated or another meeting place may be added. It becomes possible.

  In the twelfth behavior analysis for analyzing the browsing behavior on exhibits etc., the behavior analysis means 7 is based on the behavior schedule data of all the analysis subjects during the analysis period, for each posting such as a poster or bulletin board posted in the cafeteria. Get the total number of browsing times and browsing time. Finally, the behavior analysis means 7 presents the total number of browsing times and browsing time for each posting as a result of the twelfth behavior analysis. This makes it possible to identify postings that are of interest, and to improve the content of the postings and the posting method.

  In the thirteenth behavior analysis for analyzing the conference cost, the behavior analysis means 7 is the behavior schedule data in which “conference” is stored in the content of the behavior schedule of the incidental information from the behavior schedule data of all the analysis target persons in the analysis period. And the meeting cost for each meeting, each analysis object, each department, or the entire analysis object is calculated. More specifically, the meeting cost for each analysis target person is obtained by multiplying the meeting time (the total of the scheduled action periods stored in each of the searched action plan data of the analysis target person) and the unit price of the analysis target person. Ask. Eventually, the behavior analysis means 7 presents the conference fee for each conference, each analysis target, each department, or the entire analysis target as a result of the thirteenth behavior analysis. As a result, it is possible to extract a conference with a relatively high conference cost, and it is possible to reduce the conference market price and the conference cost.

  In the fourteenth behavior analysis for analyzing the usage status of the in-house equipment, the behavior analysis means 7 uses the predetermined elevator and passage usage status, cafeteria usage status, shuttle bus from the behavior schedule data of all analysis subjects during the analysis period. The usage status etc. are obtained, and these values are presented as behavior analysis results. Thereby, for example, it is possible to optimize the elevator control, optimize the size of the passage, optimize the number of meals in the dining room, optimize the operation of the shuttle bus, and the like.

  The behavior analysis means 7 calculates a productivity index for each person to be analyzed, for each department, or for each business establishment based on the respective analysis results after performing the first to fourteenth behavior analyses. Productivity indicators are compared and displayed by person, department, or office.

<Another embodiment>
<1> In the above embodiment, the collation means 5 of the device 1 of the present invention first performs the first and third collation based on the comparison between the planned position information and the location specific position and the comparison between the planned action period and the actual action period. Although the process is configured to be performed, the present invention is not limited to this. For example, the matching unit 5 does not perform the first and third matching processes, but the first association rule by comparing the scheduled start time and the detection start time, the second association by comparing the scheduled action period and the location specifying period. You may comprise so that a collation process may be performed with the combination of a rule and the 3rd matching rule by a time series.

  <2> In the above embodiment, for the sake of simplicity, the system 10 of the present invention has a plurality of LANs 13 connected via the router 14, and the apparatus 1 of the present invention and the SIP server 12 are wirelessly connected to the LANs 13a and 13b on the same LAN 13c. Although the case where the access points 15a and 15b are installed has been described as an example, the present invention is not limited to this. For example, in the system 10 of the present invention, the device 1 of the present invention may be installed on a LAN 13 different from the SIP server 12, for example, a LAN 13 that can be connected to the SIP server 12, such as LANs 13b and 13c. Further, the device 1 of the present invention may be configured in the SIP server 12.

  <3> In the above embodiment, the position specifying means 3 of the device 1 of the present invention uses the mobile phone function and the wireless IP phone function provided in the mobile terminal 30 as the analysis subject person terminal 30, and the mobile terminal 30 and the mobile phone base Although the position of the analysis subject is specified based on data communication with the station 20 or the wireless access point 15, the present invention is not limited to this. For example, the mobile terminal 30 with GPS (Global Position System) function is used as the analysis target person terminal 30 and the position information such as latitude and longitude is acquired from the mobile terminal 30. The IC card is used as the analysis target terminal 30. A configuration for acquiring position information from the installation location of the IC card reader when the IC card is connected to an IC card reader for reading the IC card, or a configuration for acquiring the position information by combining a plurality of devices and functions described above It may be.

  <4> In the above embodiment, the verification unit 5 of the device 1 of the present invention has a scheduled action period partially or entirely overlapped with the location specifying period of the action result data to be verified, and the location of the action result data When a plurality of action schedule data having scheduled position information that matches the specific position is searched, as shown in FIG. 6, the scheduled actions of the single action schedule data Dp1 and Dp2 whose scheduled action periods do not overlap with other action schedule data are shown. The location specific period of the action result data De1 to be collated is divided based on the period, but as shown in FIGS. 6D to 6F, other action schedule data overlaps with the scheduled action period in part. The action schedule data Dp3 and Dp4 may also be configured to divide the specific location period of the action result data to be verified based on the scheduled action periods of the overlapping action schedule data Dp3 and Dp4. .

  <5> In the above embodiment, the verification unit 5 of the device 1 of the present invention combines the first to third association rules in the fourth verification process, and the action result data not associated with the verified action result data. However, the present invention is not limited to this, but is selected and used by comparing the arrangement of the action schedule data not associated with the corresponding collated action schedule data. The first to third association rules may be configured to be used with different conditions, different priorities, and different combinations. Further, only one of the first to third association rules may be used.

  <6> In the above embodiment, the PC 16 installed in the LAN 13a is assumed as a terminal for displaying the action schedule data of the device 1 of the present invention. However, the present invention is not limited to this and may be a mobile terminal 30 or the like. When the scheduler screen is configured to be displayed on both the PC 16 and the portable terminal 30, the display unit 8 may be configured to display both the schedule screen for the PC 16 and the scheduler screen for the portable terminal 30. good. When the scheduler screen is configured to be displayed on the mobile terminal 30, the display unit 8 automatically provides a scheduler screen for the mobile terminal 30 in response to a scheduler screen display request from the mobile terminal 30. You may comprise so that it may do.

1 is a block diagram showing an example of a schematic configuration of an IP telephone system according to the present invention, and an example of a connection configuration of a behavior analysis apparatus and peripheral devices according to the present invention. The block diagram which shows the schematic structural example of the action analysis apparatus which concerns on this invention Schematic explanatory diagram showing an example of a scheduler screen used in the behavior analysis apparatus according to the present invention The flowchart which shows the process sequence of the collation process of the behavior analysis apparatus which concerns on this invention The flowchart which shows the process sequence of the 1st collation process of the action analysis apparatus which concerns on this invention. The schematic diagram which shows the example of a division | segmentation of the location specific period of the action performance data in the 1st collation process of the action analyzer which concerns on this invention The flowchart which shows the process sequence of the 3rd collation process of the action analysis apparatus which concerns on this invention. The flowchart which shows the process sequence of the 2nd collation process of the action analysis apparatus which concerns on this invention.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Action analysis apparatus 2 According to the present invention Schedule storage means 3 Position specifying means 4 Results storage means 5 Verification means 6 Correction means 7 Behavior analysis means 8 Display means 9 Communication interface 10 IP telephone system 11 according to the present invention Gateway 12 for external communication SIP server 13 LAN
13a LAN
13b LAN
13c LAN
14 router 14a router 14b router 15 wireless access point 15a wireless access point 15b wireless access point 16 personal computer (PC)
20 mobile phone base station 30 mobile terminal (analyzer terminal)
30a Mobile terminal (analyzer terminal)
30b Mobile terminal (analyzer terminal)
40 Mobile phone network M1 Action schedule data storage unit M2 Action result data storage unit

Claims (9)

A behavior analysis device for analyzing the behavior of a plurality of analysis subjects by computer data processing,
Each analysis target includes at least a scheduled action period defined by a scheduled start time and a scheduled end time of the action schedule for each action schedule of the analysis target person in a predetermined analysis period, and the analysis subject's scheduled position Schedule storage means for receiving and storing input of action schedule data configured to be able to register incidental information including at least one of information, content of the action schedule, and other participant information of the action schedule; ,
In the analysis period, a first position of a relay device that relays data from the analysis subject terminal first for each analysis subject based on data communication with the analysis subject terminal possessed by the analysis subject Information or a second location information obtained by the analysis subject terminal provided with a geodetic means is obtained, and at least one of the first location information and the second location information is used for each predetermined location detection unit time or A position specifying means for always specifying the position of the person to be analyzed and obtaining position information;
A record storage means for storing a plurality of action record data based on the position information specified by the position specifying means for each analysis target person,
For each analysis target person, for each action schedule data in the analysis period, a matching process is performed for associating the action schedule data with the action result data, and the action is performed based on the position information of the associated action result data. Collating means for correcting each of the scheduled data ,
When the same location information is detected continuously beyond a predetermined location determination time in the location specifying unit, the result storage unit sets the location indicated by the location information as the location specified location, and the location specified location and the location information Storing the action result data including the location specifying period defined by the detection start time and the detection end time of the specified position as the actual action period;
In the verification process, the verification unit searches for the action schedule data having the scheduled action period partially or entirely overlapping with the location specific period of the action result data to be verified for each action result data. When one piece of the action schedule data is extracted, the extracted action schedule data is associated with the action result data to be verified,
The collation means further, for each of the action schedule data associated with the action result data, completely matches the result action period of the action result data associated with the scheduled action period of the action schedule data. If not , a behavior analysis device that performs a modification process for modifying the scheduled behavior period of the associated behavior schedule data so as to match the actual behavior period . The verification means includes
For each of the action result data including the position specifying position, the action specifying data includes the scheduled action period partially or entirely overlapping with the position specifying period of the action result data to be verified, and the location specifying of the action result data Searching the action schedule data having the scheduled position information that matches the position;
When one piece of the action schedule data is extracted, the extracted action schedule data is associated with the action result data to be verified,
When a plurality of the action schedule data are extracted, among the extracted action schedule data, the single action schedule data for the single action schedule data in which the scheduled action period does not overlap with the other action schedule data. Based on the scheduled action period, the location specifying period of the action result data to be collated is divided into a plurality of new action result data for each of the divided location specifying periods, , And associating the action result data having the location specific period partially or entirely overlapping with the scheduled action period of the single action schedule data,
The behavior analysis apparatus according to claim 1 , wherein the first matching process for excluding the associated action schedule data from the search target is executed for all the action result data. The collation means, after executing the first collation process for all the action result data, for each of the action schedule data that is not associated, based on the incidental information other than the scheduled position information of the action schedule data, The behavior analysis apparatus according to claim 2 , wherein a second matching process is performed for associating with the behavior result data that is not associated. The record storage means stores a record of action results including the position indefinite period as a record action period for each position indefinite period, except for the location specific period in the analysis period. The behavior analysis apparatus according to claim 1 , wherein the behavior analysis apparatus is characterized in that The verification means includes
For each of the action result data including the location indefinite period, the action result data to be verified has the scheduled action period partially or entirely overlapped with the location indefinite period, and the planned position information is registered. Search for the said action schedule data not
When one piece of the action schedule data is extracted, the extracted action schedule data is associated with the action result data to be verified,
When a plurality of the action schedule data are extracted, among the extracted action schedule data, the single action schedule data for the single action schedule data in which the scheduled action period does not overlap with the other action schedule data. Based on the scheduled action period, the location indefinite period of the action result data to be collated is divided into a plurality of new action result data for each of the divided place indefinite periods, , And associating each of the action result data having the indefinite period of time partially or entirely overlapping with the scheduled action period of the single action schedule data,
The behavior analysis apparatus according to claim 4 , wherein a third matching process for excluding the associated action schedule data from the search target is executed for all the action result data. The collation means performs the collation processing, and then performs the action schedule data that are not associated with each other.
A first association rule for associating the action schedule data with the action result data having the detection start time closest to the schedule start time of the action schedule data for each of the action schedule data;
A second association rule for associating the action schedule data with the action result data whose length of the location specific period is closest to the length of the scheduled action period of the action schedule data for each of the action schedule data;
A fourth matching process is performed in which any one of the third association rules for associating the action schedule data with the action performance data in time series order or a combination of at least any two of them is associated. The behavioral analysis apparatus according to any one of claims 1 to 5 , wherein A behavior analysis device for analyzing the behavior of a plurality of analysis subjects by computer data processing,
Each analysis target includes at least a scheduled action period defined by a scheduled start time and a scheduled end time of the action schedule for each action schedule of the analysis target person in a predetermined analysis period, and the analysis subject's scheduled position Schedule storage means for receiving and storing input of action schedule data configured to be able to register incidental information including at least one of information, content of the action schedule, and other participant information of the action schedule; ,
In the analysis period, a first position of a relay device that relays data from the analysis subject terminal first for each analysis subject based on data communication with the analysis subject terminal possessed by the analysis subject Information or a second location information obtained by the analysis subject terminal provided with a geodetic means is obtained, and at least one of the first location information and the second location information is used for each predetermined location detection unit time or A position specifying means for always specifying the position of the person to be analyzed and obtaining position information;
A record storage means for storing a plurality of action record data based on the position information specified by the position specifying means for each analysis target person,
For each analysis target person, for each action schedule data in the analysis period, a matching process is performed for associating the action schedule data with the action result data, and the action is performed based on the position information of the associated action result data. Collating means for correcting each of the scheduled data ,
When the same location information is detected continuously beyond a predetermined location determination time in the location specifying unit, the result storage unit sets the location indicated by the location information as the location specified location, and the location specified location and the location information Storing the action result data including the location specifying period defined by the detection start time and the detection end time of the specified position as the actual action period;
The verification means includes
A first association rule for associating the action schedule data with the action result data having the detection start time closest to the schedule start time of the action schedule data for each of the action schedule data in the analysis period;
In the analysis period, for each of the action schedule data, the action correspondence data is associated with the action result data whose length of the location specific period is closest to the length of the schedule action period of the action schedule data Rules,
In the analysis period, the action schedule data and the action result data are associated with any one of the third association rules for associating in time-series order, or a combination of at least any two of them.
The collation means further, for each of the action schedule data associated with the action result data, completely matches the result action period of the action result data associated with the scheduled action period of the action schedule data. If not , a behavior analysis device that performs a modification process for modifying the scheduled behavior period of the associated behavior schedule data so as to match the actual behavior period . The behavior analysis apparatus according to claim 1 , further comprising a correction unit that corrects the action schedule data by an external operation input. An IP telephone system comprising the behavior analysis device according to claim 1 ,
A plurality of the analysis subject terminals having a wireless IP phone function;
A plurality of wireless access points configured to be capable of data communication with the analysis subject person terminal;
A telephone communication control function for the analysis target person terminal is provided, and based on data communication between the analysis target person terminal and the wireless access point, the position of the analysis target person terminal is specified, and the position information of the analysis target person terminal An IP telephone communication control server for storing
The behavior analysis device is configured to be capable of data communication with the IP telephone communication control server, and the position specifying unit acquires the position information of the analysis target person terminal stored in the IP telephone communication control server. An IP telephone system characterized in that the position of the analysis subject person terminal is specified.

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