JP2016200990A - Information processor, information processing method and information processing program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To manage an area stay time without using an APB.SOLUTION: An entry event cooperation exit time complementation part 01 receives a user identifier, an area identifier of an area which a user enters, and entry event information describing the user's area entry time. A passage history management table 10 manages contents of the entry event information as an entry record. Upon receiving the entry event information, the entry event cooperation exit time complementation part 01 extracts a finally added entry record describing a user identifier common to a user identifier described in the received entry event information from a passage history management table 10, and generates an exit record showing that the user identified by the user identifier exists from an area identified by the area identifier at a time described in the received entry event information by using the user identifier and the area identifier described in the extracted entry record, and the time.SELECTED DRAWING: Figure 2

Description

  The present invention relates to a technique for managing entry / exit.

In the entrance / exit management service, the use of electronic locks and card readers for each area such as a living room or a laboratory is used to control the availability of entry / exit for each organization or individual.
The entrance / exit management service receives event information when entry / exit is performed.
In recent years, there has been a request from the personnel department, etc., and as an added value of the room entry / exit management service, occupancy time management has been started for each area and for each individual using event information.
In order to accurately determine the exit time when grasping the occupancy time, in addition to the card reader used at the time of entry, a card reader used at the time of exit has been used to control the entrance and exit independently. A bag (hereinafter referred to as APB) was used.

Japanese Patent No. 5492513

Patent Document 1 describes an occupancy time management system using APB.
This method requires two sets of card readers per door, and the system configuration is complicated.
Moreover, construction for installing two sets of card readers is necessary and expensive.

  The present invention has been made in view of such circumstances, and a main object thereof is to manage the area stay time without using the APB.

An information processing apparatus according to the present invention includes:
An admission event information receiving unit for receiving admission event information describing a user identifier of the user, an area identifier of the area where the user has entered, and a time when the user has entered the area;
Each time the admission event information is received by the admission event information receiving unit, an event information storage unit that stores the received admission event information,
When new admission event information is received by the admission event information receiving unit, an admission in which a user identifier common to the user identifier described in the new admission event information is described from the event information storage unit Of the event information, the last entry event information added to the event information storage unit is extracted, and the user identifier and area identifier described in the extracted entry event information and the new entry event information are described. And a leaving event information generating unit for generating leaving event information indicating that the user identified by the user identifier has left the area identified by the area identifier at the time using the time.

  According to the present invention, the exit time can be derived from the entrance time, and the area stay time can be managed without using the APB.

FIG. 3 is a diagram illustrating an example of a system configuration according to the first embodiment. FIG. 3 is a diagram illustrating a functional configuration example of an in-room time management system according to the first embodiment. The figure which shows the example of the traffic history management table which concerns on Embodiment 1. FIG. FIG. 4 is a diagram showing an example of an area / card reader management table according to the first embodiment. FIG. 4 is a diagram illustrating an example of a job management table according to the first embodiment. The figure which shows the example of the occupancy time management table which concerns on Embodiment 1. FIG. The figure which shows the example of the APB setting area average occupancy time table which concerns on Embodiment 1. FIG. FIG. 4 shows an example of a correlation coefficient table according to the first embodiment. The flowchart figure which shows the operation example of the entrance event cooperation leaving time complement part which concerns on Embodiment 1. FIG. The flowchart figure which shows the operation example of the average time calculation cooperation leaving time complement part for every area and duty classification concerning Embodiment 1. FIG. FIG. 4 is a flowchart showing an operation example of an occupancy time correlation calculation unit according to the first embodiment. FIG. 4 is a flowchart showing an operation example of a partial average calculation unit according to the first embodiment. FIG. 3 is a flowchart showing an operation example of a occupancy time display unit according to the first embodiment. FIG. 5 shows an example of event information sent from the card reader according to the first embodiment. FIG. 6 is a diagram showing an example of an event ID management array according to the first embodiment. FIG. 3 is a diagram illustrating a hardware configuration example of the occupancy time management system according to the first embodiment.

Embodiment 1 FIG.
In this embodiment, the occupancy time management system will be described.
The occupancy time management system according to the present embodiment manages the occupancy time using a travel history in which events are accumulated.
Then, when the content of the event is entry, the occupancy time management system searches for an event at the entry time having the same card ID as the card ID information recorded in the event, and the same exit time as the card ID. Generate an event with and record it in the traffic history.
In addition, the occupancy time management system manages the classification of the area and the duties of the card ID owner, calculates the average occupancy time from the classification of the area having the APB and the duties of the card ID owner, searches the traffic history, The exit time is calculated from the entrance time and the average occupancy time and recorded in the traffic history.
Furthermore, the occupancy time management system manages the classification of areas and the individual occupancy times of card ID holders, compares daily fluctuations in occupancy time between card ID owners, and calculates a correlation coefficient. When calculating the exit time on the passage history of a card ID owner, the exit time is obtained from the occupancy time of the card ID owner having the largest correlation coefficient.
The occupancy time management system obtains the average occupancy time excluding the minimum occupancy time and the maximum occupancy time when obtaining the average occupancy time.

In the following description, entry / exit management for a room of a company building will be described as an example, so entering the room is referred to as “entrance”, and leaving the room is referred to as “exit”.
Also, staying in a room is called “resident”.
However, the occupancy time management system according to the present embodiment can be applied to entering and leaving an area that is not limited to a room.
Therefore, “entrance” is an example of “entrance”, “exit” is an example of “exit”, and “resident” is an example of “stay”.
Similarly, “entrance event”, “exit event”, “resident time”, and the like are examples of “entrance event”, “exit event”, “stay time”, and the like.

*** Explanation of configuration ***
FIG. 1 shows a system configuration example according to the present embodiment.
The occupancy time management system 00 performs entrance / exit management of the building 1 and the building 2.
Building 1 does not use APB.
That is, the building 1 is provided with a card reader only on the entrance side.
Building 2 uses APB.
That is, the building 2 is provided with card readers on both the entrance side and the exit side.
The occupancy time management system 00 corresponds to an example of an information processing apparatus.

  FIG. 2 shows a functional configuration example of the occupancy time management system 00.

The room entry event cooperation / leaving time complementing unit 01 receives room entry event information from the card reader, and complements the room exit time based on the room entry event.
Details of the operation of the entrance event cooperation / exit time complementing unit 01 will be described later.
The entry event cooperation / exit time complementing unit 01 corresponds to an example of an entrance event information receiving unit and an exit event information generating unit.

The entry event information and the exit event information are collectively referred to as event information.
FIG. 14 shows an example of event information.
In FIG. 14, the entry / exit classification represents the type of event, entry represents an entry event, and exit represents an exit event.
That is, event information in which entry is described in the entry / exit classification is entry event information, and event information in which entry is described in the entry / exit classification is exit event information.
The time is the time when the room entry event or the room exit event occurs (time when the user enters or leaves the room).
The building name is the name (identifier) of a building where a room entry event or a room exit event has occurred (a building where a user enters or leaves the room).
The area name is a name (identifier) of an area (a room where the user enters or leaves the room) where the entry event or the exit event occurs.
The personal name is the name (identifier) of the user who has entered the room entry event or the room exit event (the user who entered or left the room).
The room entry event information is an example of entrance event information.

The average time calculation for each area / duty classification calculation leaving time complementing unit 02 calculates the average occupancy time for each area and duty classification, and complements the leaving time.
The details of the area / job classification average time calculation cooperation leaving time complementing unit 02 will be described later.

The occupancy time correlation calculation unit 03 calculates the occupancy time for each individual.
Details of the operation of the occupancy time correlation calculation unit 03 will be described later.
The occupancy time correlation calculation unit 03 corresponds to an example of a correlation coefficient calculation unit, an average stay time acquisition unit, an exit event information generation unit, and a stay time calculation unit.

The partial average calculation unit 04 calculates the average time excluding the minimum and maximum occupancy time when calculating the average time for each area / job classification.
Details of the operation of the partial average calculation unit 04 will be described later.
The partial average calculation unit 04 corresponds to an example of an average stay time acquisition unit, an exit event information generation unit, and a stay time calculation unit.

The occupancy time display unit 05 sorts and displays the occupancy time management table for each area and for each individual.
Details of the operation of the occupancy time display unit 05 will be described later.
The occupancy time display unit 05 corresponds to an example of a stay time display unit.

The event ID management array 11 is a counter that manages an event ID that is a number for identifying an event.
The event ID management array 11 shows the current event ID.
FIG. 15 shows an example of the event ID management array 11.
In FIG. 15, event IDs are managed individually for building 1 and building 2.

DB06 is an information storage area for storing a traffic history management table 10, an area / card reader management table 12, a job management table 13, a occupancy time management table 14, an APB setting area average occupancy time table 15, and a correlation coefficient table 16. It is.
DB06 corresponds to an example of an event information storage unit and an average stay time information storage unit.

The traffic history management table 10 records the contents of event entry information or room exit event information provided in the building 1 and the building 2 and the event ID.
FIG. 3 shows an example of the traffic history management table 10.
In FIG. 3, the building name, time, area name, personal name, and entry / exit classification are the contents described in the event information of FIG.
The event ID is a value obtained by incrementing the event ID managed by the event ID management array 11 in FIG.
A record in which “entrance” is described in the entry / exit classification is referred to as an entry record, and a record in which “exit” is described in the entry / exit classification is referred to as an exit record.

The area / card reader management table 12 sets an area for each building, defines an area classification, and a card reader used in the area.
FIG. 4 shows an example of the area / card reader management table 12.
As shown in FIG. 4, the building 1 includes areas X, Y, and Z, the area X is a living room (office), the area Y is a laboratory, and the area Z is a building site.
That is, area Z corresponds to the entire site of building 1, and areas X and Y are rooms inside building 1, respectively.
In addition, an entrance card reader X1 is installed in area X, an entrance card reader Y1 is installed in area Y, and an entrance card reader Z1 is installed in area Z.
In order to enter the premises of the building 1, the user receives card authentication with the entrance card reader Z1.
In order to enter the area X, the entrance card reader X1 receives card authentication, and in order to enter the area Y, the entrance card reader Y1 receives card authentication.
The same applies to Building 2.
However, since the building 2 uses APB, it is provided with a leaving card reader XX2, YY2, ZZ2.

The job management table 13 manages jobs for each individual user.
FIG. 5 shows an example of the job management table 13.
As shown in FIG. 5, in the job management table 13, the name of the building to be used and the job of the user are shown for each user.

The occupancy time management table 14 manages the occupancy time for each individual day as a history.
FIG. 6 shows an example of the occupancy time management table 14.
As shown in FIG. 6, the occupancy time management table 14 shows the area (room) where the user stayed and the occupancy time for each individual user and date.

The APB setting area average occupancy time table 15 shows the average occupancy time in the APB setting area where the APB is set.
FIG. 7 shows an example of the APB setting area average occupancy time table 15.
As shown in FIG. 7, the APB setting area average occupancy time table 15 shows the average occupancy time for each combination of area classification and job.
The APB setting area average occupancy time table 15 corresponds to an example of average stay time information.

The correlation coefficient table 16 manages the correlation of the occupancy time for each day between individuals.
FIG. 8 shows an example of the correlation coefficient table 16.
As shown in FIG. 8, the correlation coefficient table 16 shows the correlation between individuals who use the APB non-setting area and individuals who use the APB setting area.
The APB non-setting area is an area where no APB is set, and is the building 1 in the present embodiment.
The APB setting area is an area where APB is set, and is the building 2 in the present embodiment.

*** Explanation of operation ***
First, the operation of the occupancy time management system 00 will be outlined, and then the entry event cooperation / exit time complementing unit 01, the average time calculation for each area / duty classification, the coordinating exit time complementing unit 02, the occupancy time correlation calculation unit 03, part Details of the operations of the average calculation unit 04 and the occupancy time display unit 05 will be described.
The following procedure corresponds to an example of the information processing method and information processing program of the present application.

When the occupancy time management system 00 receives the event information 101 from the card reader provided in the building 1, the occupancy event linkage / exit time complementing unit 01 generates a record including the contents of the event information 101 and the event ID. , Added to the traffic history management table 10.
The occupancy time management system 00 calls the occupancy time correlation calculation unit 03 when the operator activates the area / job classification average time calculation cooperation leaving time complementing unit 02.
When the occupancy time correlation calculation unit 03 calculates the correlation of the daily occupancy time for each individual, if a strong correlation is not obtained, the partial average calculation unit 04 is called.
The partial average calculation unit 04 refers to the occupancy time management table 14.
At this time, the APB setting area average occupancy time table 15 is created by calculating the arithmetic average by excluding the minimum occupancy time data and the maximum occupancy time data for each area and job.
The occupancy time management system 00 refers to the traffic history management table 10, extracts entry records without corresponding exit records for each area and individual, refers to the APB setting area average occupancy time table 15, and enters the room. The exit time is calculated from the time + the average occupancy time, and the exit record is recorded in the passing history management table 10.
The partial average calculation unit 04 calculates the occupancy time by (leaving time) − (entry time) for each area and for each individual, and records the occupancy time in the occupancy time management table 14.
The occupancy time correlation calculation unit 03 refers to the occupancy time management table 14 and obtains a correlation coefficient with the occupancy time of the individual using the APB setting area for each individual of the area using the APB non-setting area. The correlation coefficient table 16 is created.
The occupancy time correlation calculation unit 03 refers to the traffic history management table 10 and extracts an entry record without a corresponding exit record for each area and for each individual.
The occupancy time correlation calculation unit 03 refers to the correlation coefficient table 16 and extracts the individual having the strongest correlation among the individuals using the APB non-setting area and the individuals using the APB setting area. From the average occupancy time for each, the evacuation time of the individual using the APB non-setting area is calculated and recorded in the occupancy time management table 14.
The occupancy time management system 00 can activate the occupancy time display unit 05 by an operator.
The occupancy time display unit 05 refers to the occupancy time management table 14 and indicates the occupancy time for each area and for each individual to the operator.

Example of Operation of Entrance Event Cooperation Exit Time Complementary Unit 01 The entrance event cooperation exit time complementing unit 01 receives the event information 101.
Since only the entrance card reader is arranged in the building 1, the entrance event cooperation / exit time complementing unit 01 receives only entrance event information (entrance event information receiving step).
Since the entrance card reader and the exit card reader are arranged in the building 2, the entrance event linked exit time complement unit 01 receives the entrance event information and the exit event information.
When the entrance event cooperation / exit time complementing unit 01 receives the entry event information from the card reader of the building 1, the person who has the same personal name as that described in the entry event information received from the pass history management table 10 of the DB06. The room entry record last added to the traffic history management table 10 is extracted from the room entry records whose names are described (exit event information generation step).
Further, the room entry event cooperation / leaving time complementing unit 01 is identified by the personal name using the personal name described in the extracted room entry record, the area name, and the time described in the received room entry event information. An exit record (exit event information) indicating that the user has exited from the area identified by the area name at that time is generated (exit event information generating step).
Further, the room entry event cooperation / leaving time complementing unit 01 generates a room entry record including the contents of the received event information 101 and the event ID, and adds the room entry record to the traffic history management table 10 together with the room exit record (event information storage step).

FIG. 9 is a flowchart illustrating an operation example of the room entry event cooperation / exit time complementing unit 01.
In addition, although the entry event cooperation / exit time complementing unit 01 receives the exit event information from the building 2 and registers the exit event information in the passing history management table 10, the entrance event information is received from the building 1 in FIG. The flow focused on the operation in the case of having been described.

In FIG. 9, when the event information 101 is acquired from the card reader provided in the building 1, the entry event cooperation / exit time complementing unit 01 holds the event information 101 (S 001).
Here, it is assumed that the event information 101 describing the contents of FIG. 14 is acquired.

Next, the entrance event cooperation / exit time complementing unit 01 refers to the entrance / exit classification of the event information 101 and determines an entrance or exit event (S002).
In this case, since it is “entrance”, the entry event cooperation / exit time complementing unit 01 refers to the personal name of the event information 101 and acquires “A”.
In the case of “leaving”, the entry event cooperation leaving time complementing unit 01 registers the leaving event information in the passage history management table 10.
Note that, as described above, in FIG. 9, the processing when the entry / exit classification is “exit” is omitted.

  Next, the room entry event cooperation / exit time complementing unit 01 searches the traffic history management table 10 and finally adds it to the traffic history management table 10 among the records in which “A” is described in the personal name column. A record (record with event ID: 100002) is acquired (S003).

  Refer to the entry / exit classification of the record to determine whether it is “enter” or “exit”, and if it is “enter”, determine whether the area specified by the area name is outside the building site (S004).

The record of event ID: 100002 is other than the building site because the entry / exit classification is “entrance” and the area name is “X”.
For this reason, the room entry event cooperation / leaving time complementing unit 01 complements the room leaving record and records it in the traffic history management table 10 (S005).
Specifically, the entry event cooperation / exit time complementing unit 01 copies the record of the event ID: 100002, and the time value of the event information 101 that has newly received the time value in the copied record of the event ID: 100002. Change to
Also, the entry / exit classification in the copied record of event ID: 100002 is changed to exit.
Further, the room entry event cooperation / exit time complementing unit 01 acquires the event ID: 10002 from the event ID management array 11, increments it, obtains the event ID: 100003, and sets it in the event ID management array 11.
Further, the event ID of the copied event: ID 100002 is replaced with the event ID: 10003.
As a result, an exit record indicating an exit event of “building 1, 100003, 2014/10/13 13:00, X, A, exit” is generated.
The room entry event cooperation / leaving time complementing unit 01 adds this room leaving record to the passing history management table 10.

Further, the room entry event cooperation / leaving time complementing unit 01 adds a room entry record corresponding to the held event information 101 (new event information 101) to the traffic history management table 10 (S006).
Specifically, the entry event cooperation / exit time complementing unit 01 obtains an event ID: 10003 from the event ID management array 11 and increments the event information 101 held in S001, and obtains an event ID: 10004. , Set in the event ID management array 11.
Further, the room entry event cooperation / leaving time complementing unit 01 uses the event information 101 and the event ID: 10004 to generate a new room entry record.
In the entry record generated here, “building 1, 100004, 2014/10/13 13:00, Y, A, entry” is described.
Then, the room entry event cooperation / leaving time complementing unit 01 adds the room entry record to the passing history management table 10.

Operation of Area / Job Classification Average Time Calculation Cooperation Leaving Time Supplementing Unit 02 FIG. 10 is a flowchart showing an operation example of the area / job classification average time calculation cooperation leaving time complementing unit 02.
The flow in FIG. 10 is performed after working hours, for example, every working day.
In FIG. 10, the area / job classification average time calculation cooperation leaving time complementing unit 02 calls the occupancy time correlation calculating unit 03 (S101).
As a result of the call, it is determined whether or not the operation is normally completed (S102).
If the result of the call is abnormal termination, the area / job classification average time calculation cooperation leaving time complementing unit 02 calls the partial average calculation unit 04 (S103).
The normal end is a case where the correlation coefficient between an individual described in the room entry event information (an individual who uses the APB setting area) and an individual who uses the APB setting area is larger than a threshold value.
On the other hand, abnormal termination is a case where the correlation coefficient between the individual described in the room entry event information (the individual who uses the APB setting area) and the individual who uses the APB setting area is not larger than the threshold value.

Operation of Occupancy Time Correlation Calculation Unit 03 The occupancy time correlation calculation unit 03 is configured such that the user who enters and leaves the building 1 and the room in the building 1 (also referred to as a non-setting area user), APB, The correlation coefficient regarding the occupancy time between the setting area building 2 and the user who enters and leaves the room in the building 2 (also referred to as setting area user) is calculated.
Further, the occupancy time correlation calculation unit 03 extracts, from the traffic history management table 10, an entry record in which an exit record having a common personal name and area name is not generated.
And the average occupancy time (average stay time) in the APB setting area of the setting area user whose correlation coefficient with the non-setting area user identified by the personal name described in the extracted entry record is equal to or greater than the threshold value. get.
The occupancy time correlation calculation unit 03 adds the acquired average occupancy time to the time described in the extracted entry record.
Further, the occupancy time correlation calculation unit 03 uses the time after the addition and the personal name and area name described in the extracted entry record, and the non-setting area user identified by the personal name An exit record (exit event information) indicating that the user has exited from the APB non-setting area identified by the name at the time after addition is generated.
Then, the occupancy time correlation calculation unit 03 adds the generated exit record to the passing history management table 10.

  FIG. 11 is a flowchart showing an example of the operation of the occupancy time correlation calculation unit 03.

In FIG. 11, the occupancy time correlation calculation unit 03 combines the job management table 13 and the area / card reader management table 12 to determine whether or not the individual uses the APB non-setting area (S201).
Whether the area is an APB non-setting area is determined based on whether or not an exit card reader is registered in the card reader row on the area / card reader management table 12.

Next, the occupancy time correlation calculation unit 03 calculates the occupancy time for individuals (A, B) using the APB non-setting area and individuals (C, D, E, F, G) using the APB setting area. With reference to the management table 14, the correlation coefficient is calculated regarding the transition of the occupancy time of the daily area classification = building site, and the correlation coefficient table 16 is created (S202).
The calculation method of the correlation coefficient does not matter.

Next, the occupancy time correlation calculation unit 03 refers to the passage history management table 10 and extracts an entry record without an exit record for each area and for each individual (S203).
In the example of FIG. 3, the room entry record with event ID: 10001 is extracted.

Next, the occupancy time correlation calculation unit 03 extracts an individual name from the entry record extracted in S203, refers to the correlation coefficient table 16, and uses the APB setting area that has the strongest correlation with the extracted individual name. Individuals to be extracted are extracted (S204).
That is, the occupancy time correlation calculation unit 03 refers to the personal name of the entry record with the event ID: 10001 and extracts “A”.
Further, referring to the correlation coefficient table 16 (FIG. 8), the individual “C” who has a strong correlation with “A” and uses the APB setting area is extracted.

Next, the occupancy time correlation calculation unit 03 determines whether or not the correlation coefficient indicates a strong correlation (S205).
That is, it is determined whether or not the correlation coefficient 0.5 between the individual “A” and the individual “C” is larger than the threshold (0.7).
If the correlation coefficient is greater than the threshold (indicating strong correlation), the process of S206 is performed.
On the other hand, if the correlation coefficient is not larger than the threshold value, the process ends abnormally.
Here, since strong correlation is not shown, it ends abnormally, and the processing of the occupancy time correlation calculation unit 03 ends.

If the correlation is strong, the average occupancy time of the individual extracted in S204 is obtained, and the exit time is calculated from (entry time) + (average occupancy time) on the traffic history management table 10, and traffic history management is performed. It adds to the table 10 (S206).
That is, with reference to the occupancy time management table 14, the arithmetic average is obtained for the combination of the individual “C” and the area “ZZZ”, except for the minimum occupancy time data and the maximum occupancy time data. The occupancy time.
Then, the calculated average occupancy time is added to the time described in the entry record of event ID: 10001 in FIG.
Then, using the calculated leaving time, a leaving record corresponding to the entry record of event ID: 10001 in FIG. 1 is generated, and the generated leaving record is added to the passing history management table 10.

Next, the occupancy time correlation calculation unit 03 calculates the occupancy time from the passage history management table 10 for each area and for each individual by (leaving time) − (entry time), and records it in the occupancy time management table 14. (S207) and the process ends normally.
That is, the occupancy time correlation calculation unit 03 calculates the difference between the time described in the entry record and the time described in the exit record in which the personal name and area name common to the entry record are described. Calculated as the occupancy time.
Then, the occupancy time is added to the corresponding record in the occupancy time management table 14.
Specifically, the occupancy time is added to the record corresponding to the personal name and area name described in the entry record, corresponding to the same date as the time of the entry record.

Operation of Partial Average Calculation Unit 04 The partial average calculation unit 04 refers to the occupancy time management table 14 and generates the APB setting area average occupancy time table 15.
In the APB setting area average occupancy time table 15, as shown in FIG. 7, the user's average occupancy time in the APB setting area is an area classification (room, laboratory, building site) that is an area attribute of the APB setting area. ) And user attributes (research positions, clerical positions).

The partial average calculation unit 04 extracts from the traffic history management table 10 an entry record in which no exit record having a common personal name and area name is generated.
And the user attribute of the non-setting area user identified by the personal name described in the extracted entry record and the area attribute of the APB non-setting area identified by the area name described in the extracted entry record judge.
Further, the average occupancy time for the same combination as the determined combination of the user attribute and the area attribute is acquired from the APB setting area average occupancy time table 15.

The partial average calculation unit 04 adds the average occupancy time extracted from the APB setting area average occupancy time table 15 to the time described in the entry record extracted from the traffic history management table 10.
Then, an exit record is generated using the time after the addition and the personal name and area name described in the extracted entry record.
This leaving record indicates that the non-setting area user has left the APB non-setting area at the time after the addition.
Then, the partial average calculation unit 04 adds the generated exit record to the passing history management table 10.

  FIG. 12 is a flowchart showing an operation example of the partial average calculation unit 04.

In FIG. 12, the partial average calculation unit 04 refers to the occupancy time management table 14, and for each area and job, the data on the minimum occupancy time (shortest stay time) and the maximum occupancy time (longest stay time). ) Is obtained, and the arithmetic average is obtained, and the APB setting area average occupancy time table 15 is created (S301).
That is, the partial average calculation unit 04 determines the duties based on the duty management table 13 (FIG. 5) for each individual shown in the occupancy time management table 14, and is also shown in the occupancy time management table 14. For each area, the area classification is determined based on the area / card reader management table 12 (FIG. 4).
Then, for each combination of job and area classification, the arithmetic average is obtained by excluding the minimum occupancy time data and the maximum occupancy time data, and the APB setting area average occupancy time table 15 of FIG. 7 is created.

Next, the partial average calculation unit 04 refers to the traffic history management table 10, extracts entry records without leaving records for each area and individual, refers to the APB setting area average occupancy time table 15, and enters the entry time. + Leaving time is calculated from the average occupancy time, and the leaving record is recorded in the passing history management table 10 (S302).
Here, it is assumed that the entry record of event ID: 10004 generated in S006 is recorded in the traffic history management table 10 of FIG. 3, and there is no exit record corresponding to this entry record.
For example, when the user A leaves the building 1 site without entering the area X from the area Y, no exit record is generated in the entry record of the event ID: 10004.
Further, since there is no exit card reader at the exit of the site in the building 1, no exit record corresponding to the entry record of event ID: 10001 is generated.
The partial average calculation unit 04 extracts a room entry record with an event ID: 10001 and a room entry record with an event ID: 10004 from the traffic history management table 10.
Then, corresponding to the entry record of event ID: 10004 which is a newer record, the event ID: 10004 is acquired from the event ID management array 11 and incremented to obtain the event ID: 10005. set.
Further, the partial average calculation unit 04 determines the job “research job” of the individual “A” of the entry record of the event ID: 10004 from the job management table 13 (FIG. 5), and determines the area classification “experiment” of the area “Y”. "Room" is determined from the area / card reader management table 12 (FIG. 4).
The average occupancy time for the combination of the job “research position” and the area classification “laboratory” is extracted from the APB setting area average occupancy time table 15.
Here, an average occupancy time of “5 hours” is extracted.
Then, the partial average calculation unit 04 adds the extracted average occupancy time to the time of the entry record of the event ID: 10004, the time after the addition, the individual “A”, the area “Y”, and the event ID “10005”. Is recorded, and the generated exit record is recorded in the transit history management table 10.
Here, an exit record of “building 1, 10005, 2014/10/13 18:00, Y, A, exit” is generated and recorded.
In addition, the partial average calculation unit 04 acquires the event ID 10005 from the event ID management array 11 corresponding to the event ID: 10001, increments the event ID 10006, and sets the event ID 10006 in the event ID management array 11.
The average occupancy time is extracted for the entry record with event ID: 10001 in the same procedure as the entry record with event ID: 10004.
Here, an average occupancy time of “9 hours” is extracted.
Then, the extracted average occupancy time is added to the time of the entry record of the event ID: 10001, and the leaving record in which the time after the addition, the individual “A”, the area “Z”, and the event ID “10006” are described. And the generated exit record is recorded in the passing history management table 10.
Here, an exit record of “building 1, 10006, 2014/10/13 17:30, Z, A, exit” is generated and recorded.

  Next, the partial average calculation unit 04 calculates the occupancy time from the passage history management table 10 for each area and for each individual (exit time) − (entrance time), and records it in the occupancy time management table 14 ( S303).

In the above description, the example in which the area attribute used by the partial average calculation unit 04 is area classification (room, laboratory, building site) and the user attribute is a job (research job, office job) is shown.
The area attribute is not limited to such an area classification, and may be, for example, a floor number such as 1F and 2F, or a department unit classification such as an area under the jurisdiction of the sales department and an area under the jurisdiction of the development department.
In addition, the user attribute may be a post such as a person in charge, a section manager, or a general manager, or an age group such as a twenties, thirties, or forties.
A plurality of area attributes and a plurality of user attributes may be combined.

Operation of the occupancy time display unit 05 The occupancy time display unit 05 sorts the occupancy times calculated by the occupancy time correlation calculation unit 03 or the partial average calculation unit 04 for each combination of individual name and area name, Display the sort result.

  FIG. 13 is a flowchart showing an operation example of the occupancy time display unit 05.

In FIG. 13, the occupancy time display unit 05 reads the occupancy time management table 14 and expands it in the memory (S401).
On the memory, it sorts for each area and for each individual, and displays the occupancy time (S402).

*** Explanation of effects ***
As described above, according to the present embodiment, the leaving time can be supplemented from the traffic history, and the occupancy time can be managed without using the APB.

*** Explanation of hardware configuration.
Finally, a hardware configuration example of the occupancy time management system 00 will be described with reference to FIG.
The occupancy time management system 00 is a computer.
The occupancy time management system 00 includes hardware such as a processor 901, an auxiliary storage device 902, a memory 903, a communication device 904, an input interface 905, and a display interface 906.
The processor 901 is connected to other hardware via the signal line 910, and controls these other hardware.
The input interface 905 is connected to the input device 907.
The display interface 906 is connected to the display 908.

The processor 901 is an IC (Integrated Circuit) that performs processing.
The processor 901 is, for example, a CPU (Central Processing Unit), a DSP (Digital Signal Processor), or a GPU (Graphics Processing Unit).
The auxiliary storage device 902 is, for example, a ROM (Read Only Memory), a flash memory, or an HDD (Hard Disk Drive).
The memory 903 is, for example, a RAM (Random Access Memory).
The communication device 904 includes a receiver 9041 that receives data and a transmitter 9042 that transmits data.
The communication device 904 is, for example, a communication chip or a NIC (Network Interface Card).
The input interface 905 is a port to which the cable 911 of the input device 907 is connected.
The input interface 905 is, for example, a USB (Universal Serial Bus) terminal.
The display interface 906 is a port to which the cable 912 of the display 908 is connected.
The display interface 906 is, for example, a USB terminal or an HDMI (registered trademark) (High Definition Multimedia Interface) terminal.
The input device 907 is, for example, a mouse, a keyboard, or a touch panel.
The display 908 is, for example, an LCD (Liquid Crystal Display).

The auxiliary storage device 902 includes an entry event cooperation leaving time complementing unit 01, an area / job classification average time calculating cooperation leaving time complementing unit 02, an in-room time correlation calculating unit 03, a partial average calculating unit 04, A program for realizing the function of the room time display unit 05 (collectively described as “part”) is stored.
This program is loaded into the memory 903, read into the processor 901, and executed by the processor 901.
Further, the auxiliary storage device 902 also stores an OS (Operating System).
Then, at least a part of the OS is loaded into the memory 903, and the processor 901 executes a program that realizes the function of “unit” while executing the OS.
Although one processor 901 is illustrated in FIG. 16, the occupancy time management system 00 may include a plurality of processors 901.
A plurality of processors 901 may execute a program for realizing the function of “unit” in cooperation with each other.
In addition, information, data, signal values, and variable values indicating the processing results of “unit” are stored in the memory 903, the auxiliary storage device 902, or a register or cache memory in the processor 901.

Further, “part” may be read as “circuit”, “process”, “procedure”, or “processing”.
The “circuit” is a concept that includes not only the processor 901 but also other types of processing circuits such as a logic IC, GA (Gate Array), ASIC (Application Specific Integrated Circuit), or FPGA (Field-Programmable Gate Array). .

  00 occupancy time management system, 01 entry event cooperation leaving time supplement part, 02 area / job classification average time calculation cooperation leaving time complement part, 03 occupancy time correlation calculation part, 04 partial average calculation part, 05 occupancy time display Part, 06 DB, 10 traffic history management table, 11 event ID management array, 12 area card reader management table, 13 job management table, 14 occupancy time management table, 15 APB setting area average occupancy time table, 16 phase relationship Number table, 101 event information.

Claims (10)

An admission event information receiving unit for receiving admission event information describing a user identifier of the user, an area identifier of the area where the user has entered, and a time when the user has entered the area;
Each time the admission event information is received by the admission event information receiving unit, an event information storage unit that stores the received admission event information,
When new admission event information is received by the admission event information receiving unit, an admission in which a user identifier common to the user identifier described in the new admission event information is described from the event information storage unit Of the event information, the last entry event information added to the event information storage unit is extracted, and the user identifier and area identifier described in the extracted entry event information and the new entry event information are described. And an exit event information generating unit that generates exit event information indicating that the user identified by the user identifier has exited from the area identified by the area identifier using the time. . The exit event information generation unit
The information processing apparatus according to claim 1, wherein the generated exit event information is stored in the event information storage unit. The admission event information receiving unit includes a user identifier of a non-setting area user who has entered an anti-passback non-setting area where anti-passback is not set, an area identifier of the anti-passback non-setting area, and the non-setting area user Receiving event information describing the time when the user entered the non-passback non-setting area,
The exit event information generation unit
The non-setting area user identified by the user identifier using the user identifier and area identifier described in the entry event information extracted from the event information storage unit and the time described in the new entry event information The information processing apparatus according to claim 1, further comprising: generating exit event information indicating that an exit from the anti-passback non-setting area identified by the area identifier is exited at the time. The information processing apparatus further includes:
The average stay time for storing the average stay time information described for each combination of the area attribute and the user attribute of the anti-passback setting area is the average stay time of the user in the anti-passback setting area where the anti-passback is set. An information storage unit;
A non-setting area user identified by the user identifier described in the extracted entry event information is extracted from the event information storage unit, the entry event information in which the exit event information having the same user identifier and area identifier is not generated. And the area attribute of the anti-passback non-setting area identified by the area identifier described in the extracted entrance event information, and the average for the same combination of the determined user attribute and area attribute An average stay time acquisition unit for acquiring a stay time from the average stay time information,
The exit event information generation unit
The average stay time acquired by the average stay time acquisition unit is added to the time described in the entrance event information extracted by the average stay time acquisition unit, the time after the addition, and the average stay time acquisition unit The non-setting area user identified by the user identifier is added from the anti-passback non-setting area identified by the area identifier using the user identifier and the area identifier described in the entrance event information extracted by The information processing apparatus according to claim 3, wherein exit event information indicating that the player has exited at a later time is generated. The average stay time information storage unit
Claim for storing average stay time information described for each combination of area attribute and user attribute, wherein the average stay time calculated by removing the longest stay time and the shortest stay time of the user in the anti-passback setting area Item 5. The information processing apparatus according to Item 4. Relationship between the non-setting area user who enters and leaves the non-passback non-setting area and the setting area user who enters and leaves the anti-passback setting area where anti-passback is set A correlation coefficient calculator for calculating the number;
A non-setting area user identified by the user identifier described in the extracted entry event information is extracted from the event information storage unit, the entry event information in which the exit event information having the same user identifier and area identifier is not generated. An average stay time acquisition unit that acquires an average stay time in the anti-passback setting area of the setting area user whose correlation coefficient is equal to or greater than a threshold,
The exit event information generation unit
The average stay time acquired by the average stay time acquisition unit is added to the time described in the entrance event information extracted by the average stay time acquisition unit, the time after the addition, and the average stay time acquisition unit The non-setting area user identified by the user identifier is added from the anti-passback non-setting area identified by the area identifier using the user identifier and the area identifier described in the entrance event information extracted by The information processing apparatus according to claim 3, wherein exit event information indicating that the player has exited at a later time is generated. The information processing apparatus further includes:
A stay that calculates the difference between the time described in the entrance event information and the time described in the exit event information in which the user identifier and the area identifier common to the entrance event information are described as the area stay time The information processing apparatus according to claim 1, further comprising a time calculation unit. The information processing apparatus further includes:
The information processing apparatus according to claim 7, further comprising: a stay time display unit that sorts the area stay times calculated by the stay time calculation unit for each combination of a user identifier and an area identifier, and displays a sorting result. An admission event information receiving step for receiving admission event information in which a computer describes a user identifier of a user, an area identifier of an area in which the user has entered, and a time at which the user has entered the area;
An event information storage step for storing the received event information in the event information storage area each time the computer receives the admission event information in the admission event information receiving step;
When new admission event information is received by the admission event information receiving step, the computer describes a user identifier that is common to the user identifier described in the new admission event information from the event information storage area. In the admission event information that has been added, the admission event information that was last added to the event information storage area is extracted, and the user identifier, the area identifier, and the new admission event information that are described in the extracted admission event information are extracted. An exit event information generating step for generating exit event information indicating that the user identified by the user identifier has exited from the area identified by the area identifier using the described time. An information processing method. An admission event information receiving step for receiving admission event information describing a user identifier of the user, an area identifier of the area where the user has entered, and a time when the user has entered the area;
An event information storage step of storing the received event information in the event information storage area each time the event information is received by the admission event information receiving step;
When new admission event information is received by the admission event information receiving step, an admission in which a user identifier common to the user identifier described in the new admission event information is described from the event information storage area Of the event information, the last entry event information added to the event information storage area is extracted, and the user identifier and area identifier described in the extracted entry event information and the new entry event information are described. Using the time, the computer executes an exit event information generation step for generating exit event information indicating that the user identified by the user identifier has exited from the area identified by the area identifier at the time. Information processing program.

Images