JP2010092369A - Job analysis system, job analysis method, and job analysis program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To allow job analysis results to be reflected on a guideline of management of a company or operation of a public body by acquiring position information of persons performing jobs and situation information of jobs to dynamically grasp degrees of importance of individual jobs. <P>SOLUTION: A job analysis system includes: a situation information acquisition part 11 for acquiring situation information; an importance degree calculation part 12 for calculating degrees of importance of situations; a situation transition information generation part 13 for generating situation transition information of situations of an analysis objects; an importance degree updating part 14 for updating the degree of importance of situations; and a job classifying part 15 for performing weighted job classification. <P>COPYRIGHT: (C)2010,JPO&INPIT

Description

  The present invention relates to a business analysis system, a business analysis method, and a business analysis program. More specifically, the present invention relates to business analysis that analyzes the status of a human business in an area such as an office and classifies the business based on the analysis result.

  2. Description of the Related Art There is known a technique for detecting position information and business status of a person who performs business in an area such as an office using a camera image or the like, and automatically classifying business content based on the detection result.

  For example, in Patent Document 1, work status information such as a worker's behavior, a contact person, and a staying place is detected from information on a sensor such as a camera arranged around the worker. According to the business, it is described to determine what kind of contents the worker's work status information is sent to which other user, and to notify or disclose this. If the situation in which the target person of the work classification is making a call can be acquired from the camera video, the task can be classified as “on the phone”.

JP 2006-065436 A

  However, since the prior arts including the above-mentioned Patent Document 1 do not consider the importance of each classified task, the entire task is analyzed dynamically, and the classified task is managed by a company or public organization. It is not intended to be used as a guideline for the management of For example, in Patent Document 1, as shown in FIG. 4, the user's work status is indicated by “absent”, “PC operation”, “desk work”, “phone call”, “multiple”, as shown in FIG. Although it is expressed by the character strings “work in progress” and “others”, the individual work is in the same line and the importance of each work is not considered. It cannot be reflected in management guidelines.

  The present invention has been made in view of the above-described circumstances, and obtains position information of a person who performs a job and status information of the job in an area such as an office and grasps the importance of each job. Accordingly, it is an object of the present invention to provide a business analysis system, a business analysis method, and a business analysis program capable of reflecting business analysis results in guidelines for business management and public organization management.

  The work analysis system according to the first aspect of the present invention acquires situation information including a person's stay area, situation start time, situation maintenance time, and contact list based on the position information of the person and the subject of the work. Situation information acquisition means, importance calculation means for calculating the situation importance from the situation information acquired by the situation information acquisition means and storing it in a predetermined storage means, situation information before and after the situation to be analyzed, and the importance The situation transition information generating means for generating the situation transition information of the situation to be analyzed using the situation importance calculated by the degree calculating means, and the storage means based on the situation transition information generated by the situation transition information generating means Obtained by the situation information obtaining means using the degree of importance updating means for updating the stored situation importance and the correspondence relationship between the situation information and the business name determined in advance. And business classification means for performing a weighted business classification from the situation information and the storage means situations importance degree stored in the, characterized in that it comprises a.

  The other task analysis system according to the first aspect of the present invention includes status information including a person's stay area, status start time, status maintenance time, and contact list based on the location information of the person and the target of the task. Status information acquisition means to be acquired, importance level calculation means for calculating the status importance from the status information acquired by the status information acquisition means and storing it in a predetermined storage means, and status acquired by the status information acquisition means Monitoring the information to detect that a person has left the analyzed meeting, and if it is determined that the meeting continues after leaving the meeting, the meeting continuation detection means for generating meeting continuation information and the status of the analyzed object The situation transition information generating means for generating situation transition information of the situation to be analyzed using the situation information before and after the situation importance and the situation importance calculated by the importance calculation means, and the situation transition information generating means Importance level updating means for updating the status importance level stored in the storage means based on the status transition information generated in response to the meeting continuation information generated by the meeting continuation detection means, and predetermined status information; A task classification unit that performs weighted task classification based on the status information acquired by the status information acquisition unit using the correspondence relationship with the job name and the status importance stored in the storage unit, To do.

  Still another business analysis system according to the first aspect of the present invention includes seat detection means for detecting, as the seat information of a person, the position having the longest accumulated stay time based on the position information of the person and the object of the work, Situation information acquisition means for acquiring situation information including the stay area of the person, situation start time, situation maintenance time, and contact list from the position information and the seat information detected by the seat detection means; and the situation information acquisition An importance calculation means for calculating the situation importance from the situation information acquired by the means and storing it in a predetermined storage means; situation information before and after the situation to be analyzed; and the situation importance calculated by the importance calculation means Based on the status transition information generated by the status transition information generation means for generating the status transition information of the status of the analysis target using The importance level update means for updating the status importance level stored in the storage means, the situation information acquired by the situation information acquisition means using the correspondence relationship between the predetermined situation information and the business name, and the storage Business classification means for performing weighted business classification based on the status importance stored in the means.

  The business analysis method according to the second aspect of the present invention acquires situation information including a person's stay area, situation start time, situation maintenance time, and contact list based on the position information of the person and the subject of the work. A first step, a second step of calculating a situation importance from the situation information acquired in the first step and storing it in a predetermined storage means, situation information before and after the situation to be analyzed, and the first A third step of generating situation transition information of the situation to be analyzed using the situation importance calculated in step 2, and the storage means based on the situation transition information generated by the third step. The fourth step of updating the status importance level, the status information acquired by the first step using the correspondence between the status information and the business name determined in advance, and the description And executes a fifth step of performing weighted operations classified situation importance degree stored in the unit.

  In another business analysis method according to the second aspect of the present invention, situation information including a person's stay area, situation start time, situation maintenance time, and contact list based on the location information of the person and the subject of the work. A first step of acquiring, a second step of calculating a situation importance from the situation information acquired in the first step, and storing it in a predetermined storage means; and a situation acquired by the first step The third step of monitoring information to detect that a person has left the analyzed meeting and determining that the meeting continues after leaving the meeting, and a third step of generating meeting continuation information, and the status of the analyzed object A fourth step of generating situation transition information of the situation to be analyzed using the situation information before and after and the situation importance calculated in the second step, and the situation transition generated by the fourth step A fifth step of updating the situation importance stored in the storage unit based on the information and the meeting continuation information generated in the third step, and a correspondence relationship between the predetermined situation information and the business name. And a sixth step of performing weighted work classification from the situation information acquired by the first step and the situation importance stored in the storage means.

  Still another business analysis method according to the second aspect of the present invention includes a first step of detecting, as seat information of a person, a position having the longest accumulated stay time based on the position information of the person and the object of the work, and the person A second step of acquiring situation information including a stay area of the person, a situation start time, a situation maintenance time, and a contact list from the position information and the seat information detected by the first step; A third step of calculating the situation importance from the situation information acquired in step 2 and storing it in a predetermined storage means; situation information before and after the situation to be analyzed; and the situation calculated by the third step A fourth step of generating status transition information of the status of the analysis target using the importance level, and the information stored in the storage means based on the status transition information generated by the fourth step. The situation information obtained by the first step using the correspondence between the situation information and the business name determined in advance and the fifth step of updating the situation importance level, and the storage means And a sixth step of performing weighted job classification based on the situation importance level.

  According to a third aspect of the present invention, there is provided a business analysis program that includes a computer and situation information including a person's stay area, situation start time, situation maintenance time, and contact list based on the location information of the person and the task. Status information acquisition means for acquiring status information, importance level calculation means for calculating the status importance level from the status information acquired by the status information acquisition means and storing it in a predetermined storage means, and status information before and after the status of the analysis target And status transition information generating means for generating status transition information of the situation to be analyzed using the status importance calculated by the importance calculating means, and based on the status transition information generated by the status transition information generating means The situation information acquisition using the importance level update means for updating the situation importance level stored in the storage means, and the correspondence between the predetermined situation information and the business name Characterized in that to function as, a business classification means for performing weighted operations classified situation importance degree stored in the acquired situation information and the storage means by stages.

  Another business analysis program according to the third aspect of the present invention includes a computer, a person's stay area, a situation start time, a situation maintenance time, and a contact list based on the location information of the person and the subject of the work. Status information acquisition means for acquiring status information, importance level calculation means for calculating status importance from the status information acquired by the status information acquisition means and storing it in a predetermined storage means, and acquisition by the status information acquisition means And a meeting continuation detection means for detecting that a person has left the analysis target meeting and generating a meeting continuation information when it is determined that the meeting continues after leaving the meeting. Situation transition information generating means for generating situation transition information of the situation to be analyzed using situation information before and after the situation of the object and the situation importance calculated by the importance calculation means; and the situation Importance level update means for updating the status importance level stored in the storage means based on the status transition information generated by the transfer information generation means and the meeting continuation information generated by the meeting continuation detection means; Function as task classification means for performing weighted task classification based on the situation information acquired by the situation information acquisition means and the situation importance stored in the storage means using the correspondence between the situation information and the job name It is characterized by that.

  Still another business analysis program according to the third aspect of the present invention is a seat detection means for detecting, as a person's seat information, a position where the computer has the longest accumulated stay time based on the location information of the person and the business, Situation information acquisition means for acquiring situation information including the person's stay area, situation start time, situation maintenance time, and contact list from the person's position information and seat information detected by the seat detection means; Calculated by the importance calculation means for calculating the situation importance from the situation information acquired by the situation information acquisition means and storing it in a predetermined storage means, and the situation information before and after the situation to be analyzed and the importance calculation means Status transition information generating means for generating status transition information of the status of the analysis target using the status importance, and the status generated by the status transition information generating means Situation obtained by the importance information updating means for updating the situation importance stored in the storage means based on the transition information, and the situation information obtaining means using a correspondence relationship between the situation information and the business name determined in advance. It is made to function as a work classification means for performing a weighted work classification from the information and the situation importance stored in the storage means.

  According to the present invention, by acquiring the position information of the person performing the business and the status information of the business, and dynamically grasping the importance of each business, the business analysis results can be obtained from the management of the company and the public. It can be reflected in the management guidelines of the organization.

  In the present invention, business refers to the creation of reports and other documents that each employee performs at his or her seat in an office area, data processing using a personal computer, telephone calls, communication with other employees, and supervisors. Visiting a person's seat to receive work instructions or report work, meeting in a conference room, books on the bookshelf, etc. In addition, rest and chat in the Cafe corner are also in a broad sense Belongs to the range.

  Hereinafter, the first to third embodiments of the present invention will be described in detail with reference to the drawings. FIG. 1 is a block diagram showing an example of the overall configuration of a business analysis system 1 according to each embodiment. In FIG. 1, a data processing device 2 forms the core of this system, and is composed of a single or a plurality of CPUs (Central Processing Units) or a single or a plurality of computers. The data processing device 2 has an input port and an output port, and can be connected to another business analysis system (not shown) via a LAN (Local Area Network) or other communication line.

  The storage medium 3 in which the business analysis program is stored is provided by a CD-ROM (Compact Disc-Read Only Memory) or other storage medium, and is read from the input port of the data processing device 2 and executed.

  The input device 4 includes a pointing device such as a keyboard and a mouse, and an interface device that relays between the keyboard and pointing device and the data processing device 2, and includes initial data necessary for the business analysis system 1, for example, a business analysis program. Business classification information, person information, area information, position information coordinates indicating a place where the business is performed, and the like are input.

  The output device 5 is composed of a display unit such as a CRT (Cathode Ray Tube) or LCD (Liquid Crystal Display), and is processed and output by the data processing device 2 and information of registered persons and objects whose positions are to be detected. Various information to be displayed is displayed. Alternatively, the output device 5 may be a transmission unit that transmits various information processed by the data processing device 2 to a wired line or a wireless line, or the above-described LAN or other communication line.

  The storage device 6 includes a nonvolatile memory such as a flash memory, a hard disk, a DVD-RAM (Digital Versatile Disc Random Access Memory), and a DVD-RW (Digital Versatile Disc ReWritable). When the business analysis system 1 is connected to another business analysis system via a LAN or other communication line, various stored information is shared. That is, the storage device 6 constitutes a database and includes a business classification table 61, an area table 62, a person weight table 63, an area weight table 64, and the like. Information stored in each table will be described later.

  The work memory 7 (predetermined storage means) is composed of a RAM (Random-Access Memory) or the like, and is used as a work area of the data processing device 2. That is, information to be processed by the data processing device 2, instructions, a module of the business analysis program in the storage medium 3, and the like are temporarily stored in the work memory 7.

  The clock unit 8 measures the current time. The data processing device 2 manages the start time and status maintenance time of various tasks based on the current time obtained from the clock unit 8.

  The receiving device 9 detects from a sensor (not shown) installed at a predetermined position at a predetermined position in a predetermined place in an office, a warehouse, a factory, a laboratory, or the like (hereinafter referred to as “office etc.”). The position information of the person or object is detected by the signal. The receiving device 9 inputs the position information acquired from the sensor to the data processing device 2. In order to detect the position of a person or an object with a sensor, for example, an employee ID card, name tag, ID (Identification) card, and a document or book used for business, or a PC (Personal Computer), measurement, etc. An RFID tag (Radio Frequency Identification tag) is incorporated in a container or product. The sensor includes, for example, an RFID reader installed at a predetermined interval. The RFID reader that transmits the detection signal to the receiving device 9 detects the RFID tag at predetermined time intervals. When the RFID tag is detected, the RFID reader transmits the information to the receiving device 9. The receiving device 9 inputs position information including information on the RFID tag and / or a code or name for identifying a person or an object associated with the RFID tag and the position of the detected RFID reader to the data processing device 2.

  For example, the RFID readers are arranged in a matrix at predetermined intervals on the ceiling or floor of an office or the like. For example, the position of the RFID reader that detects a certain RFID tag is set as the position of the RFID tag. When the same RFID tag is detected at the same time by a plurality of RFID readers, the data processing device 2 employs, for example, the position information of the RFID reader having the highest detected signal intensity. Alternatively, the data processing device 2 may employ, as the position information, the centroids of a plurality of RFID readers that have detected the same RFID tag at the same time, or, further, a weighted centroid that takes signal strength into account.

  In order to detect the position, a GPS (Global Positioning System) can be used, or a method of calculating the position based on the electric field strength received by the mobile communication base station can be used. In particular, when the object of work is a place, these position detection methods are also practical. For example, a camera may be installed in an office or the like, position information of a person or an object may be acquired using an image recognition technique or the like, and transmitted to the receiving device 9 via a wired line or a wireless line.

  Hereinafter, the first embodiment, the second embodiment, and the third embodiment will be described. FIG. 2 is a block diagram of the first embodiment showing a configuration of the data processing apparatus 2 of FIG. 1, and FIG. 3 is a flowchart showing a business analysis method in the first embodiment. FIG. 4 is a block diagram of the second embodiment showing the configuration of the data processing apparatus 2, and FIG. 5 is a flowchart showing a task analysis method in the second embodiment. FIG. 6 is a block diagram of the third embodiment showing the configuration of the data processing device 2, and FIG. 7 is a flowchart showing a task analysis method in the third embodiment.

First, the first embodiment will be described. In FIG. 2, the situation information acquisition unit 11 is based on the location information of the person and his / her work target, the person's stay area, the situation start time, the situation maintenance time, and the contact list of other people who contact the person. Get status information including. The position that each person occupies on a daily basis, for example, the position of each person's seat, and the position of the conference room, bookshelf, cafe corner, etc., is registered in the area table 62 of the storage device 6 as X coordinate and Y coordinate data. Has been. The situation information is expressed by the following equation as t-th Cond (t) in one day which is a unit to be analyzed.
Cond (t) = <Area (t), St (t), Dur (t), Mem (t)>
Here, Area (t) is a stay area, St (t) is a situation start time, Dur (t) is a situation maintenance time, and Mem (t) is information of a contact person, that is, a contact list.

  The importance calculation unit 12 calculates the situation importance based on the weights read from the person weight table 63 and the area weight table 64 from the situation information acquired by the situation information acquisition unit 11 and calculates the work memory 7 (predetermined value). Memory). The importance of the t-th situation on one day is represented by Weight (t). Further, the importance Weight (t) temporarily stored in the work memory 7 may be registered in an importance table (not shown) of the nonvolatile storage device 6 as necessary.

The situation transition information generation unit 13 uses the situation information before and after the analysis target situation and the situation importance calculated by the importance calculation unit 12 to generate situation transition information of the analysis target situation. The t-th status transition information Tran (t) for one day is expressed by the following equation.
Tran (t) = <Enc (tz),…, Enc (t-2), Enc (t-1), Enc (t + 1), Enc (t + 2),…, Enc (t + z), Weight (tz),…, Weight (t-2), Weight (t-1), Weight (t + 1), Weight (t + 2),…, Weight (t + z)>
Here, Enc (t) is represented by Enc (t) = <Area (t), Mem (t)>, and is contact information including a stay area and a contact list. Z is a predefined window size.

  The importance level update unit 14 updates the status importance level stored in the importance level table of the work memory 7 or the storage device 6 based on the status transition information generated by the status transition information generation unit 13.

  The business classification unit 15 refers to the business classification table 61 of the storage device 6 and uses the correspondence relationship between the predetermined situation information and the business name to acquire the situation information Cond (t ), And weighted business classification is performed based on the situation importance level Weight (t) stored in the person weight table 63 and the area weight table 64.

  Next, the business classification method according to the first embodiment will be described with reference to the block diagrams of FIGS. 1 and 2 and the flowchart of FIG.

  First, it is determined whether or not the current time of the clock unit 8 has reached a business start time (for example, 9:00 am) (step S101). Needless to say, the business start time and the business start time described later can be appropriately set according to the business content and the business location. Or the structure which analyzes continuously 24 hours a day as business hours is also possible. The receiving device 9 receives position information including information on the RFID tag transmitted from the RFID reader at a certain time interval and / or a code or name for identifying a person or an object associated therewith, the position of the detected RFID reader, and the like. The data is appropriately received at full time and input to the data processing device 2.

When it is determined that the business start time has come (step S101; YES), the situation information acquisition unit 11 uses the area table 62 for the coordinate range of a conference room, a seat, etc., for example, to provide the location information of the person and the business. Based on the following situation information Cond, the t-th stay area Area (t), the situation start time St (t), the situation maintenance time Dur (t), and the contact list Mem (t) in one day are one record. (t) is created (step S102).
Cond (t) = <Area (t), St (t), Dur (t), Mem (t)>

  Next, in the situation information Cond (t) acquired from the situation information acquisition unit 11, the importance level calculation unit 12 uses the person weight table 63 and the area weight table 64 that define the weight of the person and the area, and the contact list A value obtained by adding a weight to Mem (t) and multiplying the added value by the weight of the stay area Area (t) is calculated as the situation importance Weight (t) for the t-th situation information in one day (step S103). ).

Next, the situation transition information generation unit 13 is defined in advance by the situation information Cond (t) obtained from the situation information acquisition unit 11, the situation importance level Weight (t) calculated by the importance level calculation unit 12, and the like. Based on the window size z, the t-th following in the day represented by the contact information Enc (t) consisting of the stay area Area (t) and the contact list Mem (t), and the situation importance Weight (t) The state transition information Tran (t) is generated (step S104).
Tran (t) = <Enc (tz),…, Enc (t-2), Enc (t-1), Enc (t + 1), Enc (t + 2),…, Enc (t + z),
Weight (tz),…, Weight (t-2), Weight (t-1), Weight (t + 1), Weight (t + 2),…, Weight (t + z)>
That is, with the t-th situation transition information Tran (t) that is the analysis target as a reference, the situation transition information Tran (t) from the z-th before to the z-th after is generated.

Next, the importance level update unit 14 acquires the status importance level Weight (t) from the importance level calculation unit 12, acquires the status transition information Tran (t) from the status transition information generation unit 13, and designates it with the variable i. Contact information Enc (ti) to be performed and Enc (t + 1) to Enc (t + z) are compared in order to determine whether or not there is an interrupt (step S105), and a range of 1 ≦ j ≦ z If Enc (ti) = Enc (t + j), it is determined that the t-th situation is an interruption to the (ti) -th situation (step S105; YES), and is determined in advance. The importance is updated by the added value w as described below (step S106).
If Weight (t-1)> Weight (t), Weight (t) = Weight (ti) + w
If Weight (t-1) ≤ Weight (t), Weight (t) = Weight (t) + w

Next, the task classification unit 15 acquires the status information Cond (t) from the status information acquisition unit 11, acquires the importance Weight (t) from the importance calculation unit 12, and contacts from the contact list Mem (t). The number of people NoN (t) is calculated and the business name TN (t) is defined using the business classification table 61 that defines the correspondence between the stay area Area (t) and the contact number NoN (t) and the business name TN (t). t) is detected, and the following business classification result Task (t) is output to the output device 5 to classify the business (step S107).
Task (t) = <TN (t), St (t), Dur (t), Mem (t), Weight (t)>

  Next, it is determined whether or not the business end time (for example, 5:00 pm) has been reached (step S108). If it is determined that the business end time has not been reached (step S108; NO), the process returns to step S102. Repeat the above process. When it is determined that the business end time has been reached (step S108; YES), or when it is determined in step S101 that the business start time has not been reached (step S101; NO), other processing is performed (step S109). Other processes include, for example, specific business analysis in overtime hours from 5:00 pm to 9:00 am on the following day, monitoring of accidents or crime prevention, or other business analysis systems via a communication line such as a LAN. Data reception processing from overseas business analysis systems.

  As described above, according to the first embodiment, the situation information including the person's stay area, the situation start time, the situation maintenance time, and the contact list is obtained based on the position information of the person and the task. Obtain and store the situation importance from the situation information, generate situation transition information for the situation to be analyzed using the situation information before and after the situation to be analyzed and the situation importance, and based on the situation transition information The stored situation importance is updated, and weighted work classification is performed based on the situation information and the stored situation importance using the correspondence between the situation information and the work name determined in advance. Therefore, by acquiring the location information and status information of the person performing the business and dynamically grasping the importance of each business, the business analysis results can be used for the management of companies and public organizations. It can be reflected in the guidelines.

Next, a second embodiment will be described. In FIG. 4, the situation information acquisition unit 11 is based on the position information of the person and his / her work target, the person's stay area, the situation start time, the situation maintenance time, and the contact list of other people who contact the person. Get status information including. The position that each person occupies on a daily basis, for example, the position of each person's seat, and the position of the conference room, bookshelf, cafe corner, etc., is registered in the area table 62 of the storage device 6 as X coordinate and Y coordinate data. Has been. The situation information is expressed by the following equation as t-th Cond (t) in one day which is a unit to be analyzed.
Cond (t) = <Area (t), St (t), Dur (t), Mem (t)>
Here, Area (t) is a stay area, St (t) is a situation start time, Dur (t) is a situation maintenance time, and Mem (t) is information of a contact person, that is, a contact list.

  The importance calculation unit 12 calculates the situation importance based on the weights read from the person weight table 63 and the area weight table 64 from the situation information acquired by the situation information acquisition unit 11 and calculates the work memory 7 (predetermined value). Memory). The importance of the t-th situation on one day is represented by Weight (t). Further, the importance Weight (t) temporarily stored in the work memory 7 may be registered in an importance table (not shown) of the nonvolatile storage device 6 as necessary.

The situation transition information generation unit 13 uses the situation information before and after the analysis target situation and the situation importance calculated by the importance calculation unit 12 to generate situation transition information of the analysis target situation. The t-th status transition information Tran (t) for one day is expressed by the following equation.
Tran (t) = <Enc (tz),…, Enc (t-2), Enc (t-1), Enc (t + 1), Enc (t + 2),…, Enc (t + z), Weight (tz),…, Weight (t-2), Weight (t-1), Weight (t + 1), Weight (t + 2),…, Weight (t + z)>
Here, Enc (t) is represented by Enc (t) = <Area (t), Mem (t)>, and is contact information including a stay area and a contact list. Z is a predefined window size.

  The business classification unit 15 refers to the business classification table 61 of the storage device 6 and uses the correspondence relationship between the predetermined situation information and the business name to acquire the situation information Cond (t ), And weighted business classification is performed based on the situation importance level Weight (t) stored in the person weight table 63 and the area weight table 64.

  The meeting continuation detection unit 16 acquires the situation information Cond (t) from the situation information acquisition unit 11, monitors the situation information Cond (t), detects that the person has left the meeting to be analyzed, and leaves the meeting. If it is determined that the meeting continues afterwards, the meeting continuation information Conf (t) = TRUE is generated. On the other hand, when the meeting ends after leaving, Conf (t) = FALSE is generated.

  The importance level update unit 14 updates the status importance level stored in the work memory 7 based on the status transition information generated by the status transition information generation unit 13, and the meeting continuation information acquired from the meeting continuation detection unit 16. The status importance stored in the work memory 7 is updated according to whether Conf (t) is TRUE or FALSE.

  Next, a business classification method according to the second embodiment will be described with reference to the block diagrams of FIGS. 1 and 4 and the flowchart of FIG.

  First, it is determined whether or not the current time of the clock unit 8 has become a business start time (for example, 9:00 am) (step S201). Needless to say, the business start time and the business start time described later can be appropriately set according to the business content and the business location. Or the structure which analyzes continuously 24 hours a day as business hours is also possible. The receiving device 9 receives position information including information on the RFID tag transmitted from the RFID reader at a certain time interval and / or a code or name for identifying a person or an object associated therewith, the position of the detected RFID reader, and the like. The data is appropriately received at full time and input to the data processing device 2.

When it is determined that the business start time has been reached (step S201; YES), the situation information acquisition unit 11 uses the area table 62 for the coordinate range such as a conference room or a seat, for example, to obtain the position information of the person and the business. Based on the following situation information Cond, the t-th stay area Area (t), the situation start time St (t), the situation maintenance time Dur (t), and the contact list Mem (t) in one day are one record. (t) is created (step S202).
Cond (t) = <Area (t), St (t), Dur (t), Mem (t)>

  Next, in the situation information Cond (t) acquired from the situation information acquisition unit 11, the importance level calculation unit 12 uses the person weight table 63 and the area weight table 64 that define the weight of the person and the area, and the contact list A value obtained by adding a weight to Mem (t) and multiplying the added value by the weight of the stay area Area (t) is calculated as the situation importance Weight (t) for the t-th situation information in one day (step S203). ).

Next, the situation transition information generation unit 13 is defined in advance by the situation information Cond (t) obtained from the situation information acquisition unit 11, the situation importance level Weight (t) calculated by the importance level calculation unit 12, and the like. Based on the window size z, the t-th following in the day represented by the contact information Enc (t) consisting of the stay area Area (t) and the contact list Mem (t), and the situation importance Weight (t) The state transition information Tran (t) is generated (step S204).
Tran (t) = <Enc (tz),…, Enc (t-2), Enc (t-1), Enc (t + 1), Enc (t + 2),…, Enc (t + z),
Weight (tz),…, Weight (t-2), Weight (t-1), Weight (t + 1), Weight (t + 2),…, Weight (t + z)>
That is, with the t-th situation transition information Tran (t) that is the analysis target as a reference, the situation transition information Tran (t) from the z-th before to the z-th after is generated.

  Next, the meeting continuation detection unit 16 acquires the status information Cond (t) from the status information acquisition unit 11, and among the status information of the contact list Mem (t-1), St (t ′) = St (t ) And there are two or more t's in which Area (t ') = Area (t-1), it is considered that the meeting that was taking place in the situation of Cond (t-1) is continuing, Meeting continuation information with Conf (t) = TRUE is generated. Otherwise, it is considered that the meeting has ended, and meeting continuation information with Conf (t) = FALSE is generated (step S205).

Next, the importance level update unit 14 acquires the situation importance level Weight (t) from the importance level calculation unit 12, acquires the status transition information Tran (t) from the status transition information generation unit 13, and the meeting continuation detection unit 16 The session continuation information Conf (t) is acquired from, and it is determined whether Conf (t) is TRUE or FALSE (step S206). When it is determined that Conf (t) is FALSE (step S206; NO), the contact information Enc (ti) specified by the variable i and the order from Enc (t + 1) to Enc (t + z) are sequentially displayed. In comparison, it is determined whether or not an interrupt has occurred (step S207). When Enc (ti) = Enc (t + j) in the range of 1 ≦ j ≦ z, or when it is determined in step S206 that Conf (t) is TRUE (step S206; YES), t It is determined that the th situation is an interrupt to the (ti) situation, and the importance is updated as follows with the predetermined addition value w (step S208).
If Weight (t-1)> Weight (t), Weight (t) = Weight (ti) + w
If Weight (t-1) ≤ Weight (t), Weight (t) = Weight (t) + w

Next, the task classification unit 15 acquires the status information Cond (t) from the status information acquisition unit 11, acquires the importance Weight (t) from the importance calculation unit 12, and contacts from the contact list Mem (t). The number of people NoN (t) is calculated and the business name TN (t) is defined using the business classification table 61 that defines the correspondence between the stay area Area (t) and the contact number NoN (t) and the business name TN (t). t) is detected, and the following business classification result Task (t) is output to the output device 5 to classify the business (step S209).
Task (t) = <TN (t), St (t), Dur (t), Mem (t), Weight (t)>

  Next, it is determined whether or not the business end time (for example, 5:00 pm) has been reached (step S210). If it is determined that the business end time has not been reached (step S210; NO), the process returns to step S202. Repeat the above process. When it is determined that the business end time has come (step S210; YES), or when it is determined in step S201 that the business start time has not been reached (step S201; NO), other processing is performed (step S211). Other processes include, for example, specific business analysis in overtime hours from 5:00 pm to 9:00 am on the following day, monitoring of accidents or crime prevention, or other business analysis systems via a communication line such as a LAN. Data reception processing from overseas business analysis systems.

  As described above, according to the second embodiment, the situation information including the person's stay area, the situation start time, the situation maintenance time, and the contact list is obtained based on the position information of the person and the task. Acquired, calculated and memorized the status importance from the acquired status information, monitored the acquired status information to detect that a person has left the analyzed meeting, and the meeting continues even after leaving If it is determined that, it generates meeting continuation information, generates situation transition information of the situation to be analyzed using situation information before and after the situation to be analyzed and situation importance, and based on the situation transition information and meeting continuation information. The stored situation importance is updated, and weighted work classification is performed based on the situation information and the stored situation importance using the correspondence between the situation information and the work name determined in advance. Therefore, if the position of the person performing the work and the status information of the work are obtained and the meeting continues after the person leaves the analysis target meeting, the work of the person who has left the work Update the importance of the situation based on the judgment that it is more important than the work, and dynamically grasp the importance of each work, thereby reflecting the results of the work analysis in the guidelines for corporate management and public organization management. be able to.

Next, a third embodiment will be described. In FIG. 6, the situation information acquisition unit 11 is based on the location information of the person and his / her work target, the person's stay area, the situation start time, the situation maintenance time, and the contact list of other people who contact the person. Get status information including. The position that each person occupies on a daily basis, for example, the position of each person's seat, and the position of the conference room, bookshelf, cafe corner, etc., is registered in the area table 62 of the storage device 6 as X coordinate and Y coordinate data. Has been. The situation information is expressed by the following equation as t-th Cond (t) in one day which is a unit to be analyzed.
Cond (t) = <Area (t), St (t), Dur (t), Mem (t)>
Here, Area (t) is a stay area, St (t) is a situation start time, Dur (t) is a situation maintenance time, and Mem (t) is information of a contact person, that is, a contact list.

  The importance calculation unit 12 calculates the situation importance based on the weights read from the person weight table 63 and the area weight table 64 from the situation information acquired by the situation information acquisition unit 11 and calculates the work memory 7 (predetermined value). Memory). The importance of the t-th situation on one day is represented by Weight (t). Further, the importance Weight (t) temporarily stored in the work memory 7 may be registered in an importance table (not shown) of the nonvolatile storage device 6 as necessary.

The situation transition information generation unit 13 uses the situation information before and after the analysis target situation and the situation importance calculated by the importance calculation unit 12 to generate situation transition information of the analysis target situation. The t-th status transition information Tran (t) for one day is expressed by the following equation.
Tran (t) = <Enc (tz),…, Enc (t-2), Enc (t-1), Enc (t + 1), Enc (t + 2),…, Enc (t + z), Weight (tz),…, Weight (t-2), Weight (t-1), Weight (t + 1), Weight (t + 2),…, Weight (t + z)>
Here, Enc (t) is represented by Enc (t) = <Area (t), Mem (t)>, and is contact information including a stay area and a contact list. Z is a predefined window size.

  The importance level update unit 14 updates the status importance level stored in the work memory 7 based on the status transition information generated by the status transition information generation unit 13.

  The business classification unit 15 refers to the business classification table 61 of the storage device 6 and uses the correspondence relationship between the predetermined situation information and the business name to acquire the situation information Cond (t ), And weighted business classification is performed based on the situation importance level Weight (t) stored in the person weight table 63 and the area weight table 64.

  The seat detection unit 17 acquires position information from the position information database held by the situation information acquisition unit 11, and any person in a free address office or the like in which no seat is fixedly designated for each person. The area of the area table 62 in which the situation information acquisition unit 11 holds the range that is generally considered as a work space centered on the coordinates of the position where the accumulated stay time is longest Register as information.

  Next, a business classification method according to the third embodiment will be described with reference to the block diagrams of FIGS. 1 and 6 and the flowchart of FIG.

  First, it is determined whether or not the current time of the clock unit 8 has reached a business start time (for example, 9 am) (step S301). Needless to say, the business start time and the business start time described later can be appropriately set according to the business content and the business location. Or the structure which analyzes continuously 24 hours a day as business hours is also possible. The receiving device 9 receives position information including information on the RFID tag transmitted from the RFID reader at a certain time interval and / or a code or name for identifying a person or an object associated therewith, the position of the detected RFID reader, and the like. The data is received in full time and input to the data processing device 2.

  When it is determined that the business start time has come (step S310; YES), the seat detection unit 17 acquires the position information from the position information database held by the situation information acquisition unit 11, and the arbitrary person has the longest stay time. Is extracted as the area information of the area table 62 held by the situation information acquisition unit 11 as the seat of the person (see FIG. 1). Step S302).

Next, the situation information acquisition unit 11 uses the area table 62 for the coordinate range such as a conference room or a seat, for example, and based on the position information of the person and their work, the t-th stay area Area (t ), The following situation information Cond (t) is created with the situation start time St (t), the situation maintenance time Dur (t), and the contact list Mem (t) as one record (step S303).
Cond (t) = <Area (t), St (t), Dur (t), Mem (t)>

  Next, in the situation information Cond (t) acquired from the situation information acquisition unit 11, the importance level calculation unit 12 uses the person weight table 63 and the area weight table 64 that define the weight of the person and the area, and the contact list A value obtained by adding a weight to Mem (t) and multiplying the added value by the weight of the stay area Area (t) is calculated as the situation importance Weight (t) for the t-th situation information in one day (step S304). ).

Next, the situation transition information generation unit 13 is defined in advance by the situation information Cond (t) obtained from the situation information acquisition unit 11, the situation importance level Weight (t) calculated by the importance level calculation unit 12, and the like. Based on the window size z, the t-th following in the day represented by the contact information Enc (t) consisting of the stay area Area (t) and the contact list Mem (t), and the situation importance Weight (t) State transition information Tran (t) is generated (step S305).
Tran (t) = <Enc (tz),…, Enc (t-2), Enc (t-1), Enc (t + 1), Enc (t + 2),…, Enc (t + z),
Weight (tz),…, Weight (t-2), Weight (t-1), Weight (t + 1), Weight (t + 2),…, Weight (t + z)>
That is, with the t-th situation transition information Tran (t) that is the analysis target as a reference, the situation transition information Tran (t) from the z-th before to the z-th after is generated.

Next, the importance level update unit 14 acquires the status importance level Weight (t) from the importance level calculation unit 12, acquires the status transition information Tran (t) from the status transition information generation unit 13, and designates it with the variable i. The contact information Enc (ti) to be performed and Enc (t + 1) to Enc (t + z) are compared in order to determine whether or not an interrupt has occurred (step S306), and a range of 1 ≦ j ≦ z When Enc (ti) = Enc (t + j), it is determined that the t-th situation is an interruption to the (ti) -th situation (step S306; YES), and is determined in advance. The importance is updated by the added value w as described below (step S307).
If Weight (t-1)> Weight (t), Weight (t) = Weight (ti) + w
If Weight (t-1) ≤ Weight (t), Weight (t) = Weight (t) + w

Next, the task classification unit 15 acquires the status information Cond (t) from the status information acquisition unit 11, acquires the importance Weight (t) from the importance calculation unit 12, and contacts from the contact list Mem (t). The number of people NoN (t) is calculated and the business name TN (t) is defined using the business classification table 61 that defines the correspondence between the stay area Area (t) and the contact number NoN (t) and the business name TN (t). t) is detected, and the following business classification result Task (t) is output to the output device 5 to classify the business (step S308).
Task (t) = <TN (t), St (t), Dur (t), Mem (t), Weight (t)>

  Next, it is determined whether or not the business end time (for example, 5:00 pm) has been reached (step S309). If it is determined that the business end time has not been reached (step S309; NO), the process returns to step S302. Repeat the above process. When it is determined that the business end time has been reached (step S309; YES), or when it is determined in step S301 that the business start time has not been reached (step S301; NO), other processing is performed (step S310). Other processes include, for example, specific business analysis in overtime hours from 5:00 pm to 9:00 am on the following day, monitoring of accidents or crime prevention, or other business analysis systems via a communication line such as a LAN. Data reception processing from overseas business analysis systems.

  As described above, according to the third embodiment, the position with the longest accumulated stay time is detected as the seat information of the person based on the position information of the person and the task, and the position information and the seat information of the person are detected. Obtain situation information including the person's stay area, situation start time, situation maintenance time, and contact list, calculate and store the situation importance from the obtained situation information, and situation information before and after the situation to be analyzed And using the calculated status importance, the status transition information of the situation to be analyzed is generated, the status importance stored is updated based on the status transition information, and the correspondence between the predetermined status information and the business name Using the relationship, weighted work classification is performed from the acquired situation information and the stored situation importance. Therefore, in a free address office where seats are not fixedly assigned to each person, the position information and status information of the person performing the work is obtained, and the importance of each work is determined. By grasping dynamically, the analysis result of business can be reflected in the management guidelines of companies and public organizations.

  As a modification of the second embodiment, in the configuration of FIG. 4, the seat detection unit 17 in the third embodiment shown in FIG. 6 is added, and the second embodiment and the third embodiment are added. It is also possible to combine them with each other. According to the configuration of this modified example, in a free address office where a seat is not fixedly specified for each person, the position information of the person performing the work and the situation information of the work are acquired, If the meeting continues even after a person leaves the analysis target meeting, it is determined that the work of the person who has left the meeting is more important than the work of the meeting, and the importance of each work is dynamically grasped. By doing so, the results of business analysis can be reflected in the guidelines for corporate management and public organization management.

  Next, specific examples of the business analysis of the present invention will be described with reference to FIGS. 1 to 7 as appropriate, taking as an example the business performed by employee A, employee B, employee C, and section manager D in the office. With reference to FIG. 8 to FIG. The following first example, second example, and third example are specific examples of the first embodiment, the second embodiment, and the third embodiment, respectively. It is.

  First, the first embodiment will be described. In the configuration shown in FIG. 2, the status information acquisition unit 11 holds a position information database in which position information as shown in FIG. 8 is recorded. In FIG. 8, TS is time information in units of one second represented by 14 digits. For example, “2008031709520” represents “9:15:20 on March 17, 2008”. X is the X coordinate of the current position of the employee, and Y is the Y coordinate of the current position of the employee.

  FIG. 9 is a diagram showing the range of the X coordinate and the Y coordinate of each area in the office registered in the area table 62. For example, since X = 150 and Y = 600 correspond to the conference room area, the conference room is detected as the stay area. In addition, it is more than the time (for example, set as 5 minutes) that is considered to be able to talk from the position information of each person, and the distance (for example, 2 m) that is considered to be able to talk generally. A plurality of people who are located within a set range) are associated with each other, and a contact list is detected. Next, for each person, status information Cond (t) is acquired by collecting the same stay area, the same contact list, and continuous in time series.

FIG. 10 is a diagram showing the weight data of each area registered in the area weight table 64. FIG. 11 is a diagram showing the weight data of each person registered in the person weight table 63. The importance calculation unit 12 acquires the situation information Cond (t) from the situation information acquisition unit 11, and obtains the situation information Cond (t) using the area weights and the person weights in FIGS. The weight of the contact list Mem (t) is added, and the value multiplied by the weight of the stay area is calculated as the situation importance Weight (t). For example, the status information Cond (t) is the following record
Cond (t) = <Meeting room, 9:00, 1 hour, (Employee A, Employee B, Manager D)>
If
Weight (t) = (1 + 1 + 2) × 5 = 20
It becomes. Note that the method of calculating the situation importance Weight (t) is not limited to this method. For example, the situation importance Weight (t) may be calculated in consideration of the length of contact time and the contact time zone.

  The situation transition information generation unit 13 acquires the situation information Cond (t) from the situation information acquisition unit 11, acquires the situation importance Weight (t) from the importance calculation unit 12, and the situation before and after the situation to be analyzed The state transition information Tran (t) representing is generated. FIG. 12 is a diagram illustrating the status importance Weight (t) of the status information Cond (t) from the first status of starting the business. In FIG. 12, the case where the situation transition information Tran (3) in the situation of t = 3 is generated is taken as an example. FIG. 13 is a diagram of the state transition information Tran (3) when the window size w is 2.

  The importance level update unit 14 acquires the importance level Weight (t) from the importance level calculation unit 12, acquires the status transition information Tran (t) from the status transition information 13, and obtains the contact information Enc (ti) and Enc (t +1) to Enc (t + 2) are compared in order to determine whether or not an interrupt has occurred. When Enc (ti) = Enc (t + j) in the range of 1≤j≤2 In this case, it is determined that the t-th situation is an interruption to the (ti) -th situation, and the importance Weight (t) is updated with the added value w = 2.

FIG. 14 is a diagram illustrating the importance Weight (t) of the status transition information Tran (3) illustrated in FIG. In this case,
Contact information Enc (2) = Enc (4) = <Meeting room, (Employee B, Employee C)>
Therefore, it is determined that the situation at t = 3 is an interruption to the situation at t = 2. Therefore, the value of the situation importance Weight (t) is updated as follows.
Weight (3) = Weight (2) + 2 = 12

The job classification unit 15 acquires the status information Cond (t) from the status information acquisition unit 11, acquires the status importance Weight (t) from the importance calculation unit 12, and acquires the contact number NoN (from the contact Mem (t). t), the business name is detected using the business classification table 61 that defines the relationship between the stay area Area (t) and the contact number NoN (t) and the business name TN (t), and the following business The result Task (t) is output to the output device 5.
Task (t) = <TN (t), St (t), Dur (t), Mem (t), Weight (t)>

FIG. 15 is a diagram showing situation information Cond (3) and situation importance Weight (3) in the situation of t = 3 in FIG. In this case, the contact list Mem (t) is the section manager D, and it can be seen that there is only one contact, that is, the contact number NoN (3) = 1. In addition, stay area Area (3) = section D seat. FIG. 16 is a diagram illustrating a correspondence relationship between the stay area Area (t) and the contact number NoN (t) and the business name TN (t). In FIG. 16, the business name corresponding to the stay area Area (3) = section D seat and the contact number NoN (3) = 1 is “business instruction / report”. Therefore, the following business result Task (t) is output to the output device 5.
Task (3) = <Business instruction / report, 10:00:00, 00:15:00, section manager D, 12>

  As described above, according to the first embodiment, the business result is output in consideration of not only the business status information but also the business status transition information and the importance of the business. By acquiring the position information of the person and the status information of the work and dynamically grasping the importance of each work, the analysis result of the work can be reflected in the guideline of the management of the company or the public organization.

  Next, a second embodiment will be described. In the configuration illustrated in FIG. 4, the situation information acquisition unit 11, the importance calculation unit 12, the situation transition information generation unit 13, and the job classification unit 15 perform the same processing as in the first embodiment. The meeting continuation detection unit 16 acquires the status information Cond (t) from the status information acquisition unit 11, and among the status information of the contact list Mem (t-1), St (t ′) = St (t) and If there are two or more t's in which Area (t ') = Area (t-1), it is considered that the meeting that was taking place in the situation of Cond (t-1) is continuing, and Conf (t ) = TRUE to generate meeting continuation information. Otherwise, it is considered that the meeting has ended, and continuation information of Conf (t) = FALSE is generated.

  FIG. 17 is a diagram showing the status information Cond (t) of the employee A. FIG. 18 is a diagram showing the status information Cond (t) of the employee B. FIG. 19 is a diagram showing the status information Cond (t) of the employee C. For example, consider the continuation information Conf (t) at t = 3 for employee A. In FIG. 17, in the status information Cond (2) at the time of t = 2, the contact list Mem (2) = (employee B, employee C), stay area Area (2) = conference room, St (3) = Since it is 10:00, in the situation information Cond (t) of employee B and employee C in FIGS. 18 and 19, St (t ′) = 10:00:00 and Area (t ′) = conference room Check if there are two or more t's. As shown in FIGS. 18 and 19, there are two or more people at t ′ = 3. Therefore, it is assumed that the meeting at the time of t = 2 where employee A participated is continued even at the time of t = 3 after employee A leaves, and Conf (3) = TRUE is generated as meeting continuation information To do.

  Similar to the first embodiment, the importance level update unit 14 acquires the importance level Weight (t) from the importance level calculation unit 12, acquires the status transition information Tran (t) from the status transition information 13, and receives the contact information. Enc (ti) and Enc (t + 1) to Enc (t + 2) are compared in order to determine whether or not an interrupt has occurred. Enc (ti) = Enc within the range of 1 ≤ j ≤ 2. When (t + j) is reached, it is determined that the t-th situation is an interruption to the (t-i) -th situation, the importance Weight (t) is updated with the added value w, and the meeting is continued. The meeting continuation information Conf (t) is acquired from the detection unit 16, and if Conf (t) = TRUE, it is determined that the t-th situation information is an interruption to the t−1-th situation information, and Weight (t ) = Weight (t−1) +2, and the value of Weight (t) is updated, and the updated content is reflected in the situation importance of the importance calculation unit 12.

  FIG. 20 is a diagram illustrating the meeting continuation information Conf (t) and the importance Weight (t) of the state transition information Tran (3) when t = 3. In this case, since Conf (3) = TRUE, it is determined that the third situation is an interruption to the second situation, and Weight (3) = Weight (2) + 2 = 12, The value of t) is updated, and the updated content is reflected in the status importance of the importance calculation unit 12. In the case of FIGS. 17 to 19, it is considered that the employee A leaves the section A during the meeting of the employees A, B, and C, goes to the section D seat, and receives a business instruction for one hour. Meanwhile, the meetings of employee B and employee C continue, and employee A has not returned to the meeting room. That is, since it is considered that the importance of the interrupting task at t = 3 is quite high, the value of Weight (t) is updated to 12 as shown in FIG.

  As described above, according to the second embodiment, by using the meeting continuation information, the interruption work that interrupts the situation that should be continued is also considered. By acquiring location information and business situation information, and dynamically grasping the importance of each business, business analysis results can be reflected in corporate management and public organization management guidelines.

  Next, a third embodiment will be described. In the configuration shown in FIG. 6, the status information acquisition unit 11, the importance level calculation unit 12, the status transition information generation unit 13, the importance level update unit 14, and the job classification unit 15 perform the same processing as in the first embodiment. . The seat detection unit 17 acquires position information from the position information database held by the situation information acquisition unit 11, extracts a coordinate having the longest accumulated stay time of an arbitrary person, and generally uses the coordinate as a center. Specifically, a range that is considered as a work space (for example, set to 2 m × 2 m) is registered as area information of the area table 62 as the seat of the person.

  FIG. 21 is a diagram showing area information of the employee A seat. For example, if the X coordinate is 120 cm and the Y coordinate is 300 cm with the longest accumulated stay time of employee A, the area of ± 100 cm centered on that coordinate is set as the area range shown in FIG. Register as information.

  As described above, according to the third embodiment, the position having the longest accumulated stay time is detected as the seat information of the person based on the position information of the person and the task, and is registered as the area information of the person. . Therefore, in a free address office where seats are not fixedly assigned to each person, the position information and status information of the person performing the work is obtained, and the importance of each work is determined. By grasping dynamically, the analysis result of business can be reflected in the management guidelines of companies and public organizations.

  Other suitable modifications of the present invention include the following configurations.

About the business analysis system according to the first aspect of the present invention,
Preferably, the importance calculation means calculates the situation importance using the importance of the person and the importance of the area.

  Preferably, the importance level update unit interrupts the status of the analysis target based on the status transition information generated by the status transition information generation unit when the status information of the status before and after the analysis target is the same. The situation importance of the situation to be analyzed is updated to a value higher than the situation importance before the situation to be analyzed.

Regarding another business analysis system according to the first aspect of the present invention,
Preferably, the meeting continuation detecting means determines that the meeting is continued when two or more of the contacts in the situation before the analysis target situation continue to contact each other during the analysis target situation. It is characterized by determining.

  Preferably, the importance level update unit has the same situation information of the situation before and after the analysis target based on the meeting continuation information generated by the meeting continuation detection unit and the situation transition information generated by the situation transition information generation unit. If the meeting is continued in the status of the analysis target, the status of the analysis target is determined as the status of the interrupting work, and the status importance of the status of the analysis target is the status important before the status of the analysis target. It is characterized by updating to a value higher than the degree.

About the business analysis method according to the second aspect of the present invention,
Preferably, the second step calculates the situation importance using the importance of the person and the importance of the area.

  Preferably, in the fourth step, based on the situation transition information generated by the third step, if the situation information of the situation before and after the analysis target is the same, the situation of the analysis target is set as the interrupting task. It is determined that a situation is present, and the situation importance of the situation to be analyzed is updated to a value higher than the situation importance before the situation to be analyzed.

Regarding other business analysis methods according to the second aspect of the present invention,
Preferably, in the third step, if two or more of the contacts in the situation before the situation to be analyzed keep in contact with each other during the period of the situation to be analyzed, the meeting is continued. It is characterized by determining.

  Preferably, in the fifth step, based on the meeting continuation information generated in the third step and the situation transition information generated in the fourth step, the situation information of the situation before and after the analysis target is the same. If there is a meeting in the status of the analysis target, the status of the analysis target is determined as the status of the interrupting task, and the status importance of the status of the analysis target is the status importance before the status of the analysis target. It is characterized by updating to a higher value.

About the business analysis program according to the third aspect of the present invention,
Preferably, the importance calculation means calculates the situation importance using the importance of the person and the importance of the area.

  Preferably, the importance level update unit interrupts the status of the analysis target based on the status transition information generated by the status transition information generation unit when the status information of the status before and after the analysis target is the same. The situation importance of the analysis target situation is updated to a value higher than the situation importance before the analysis target situation.

Regarding other business analysis programs according to the third aspect of the present invention,
Preferably, the meeting continuation detecting means determines that the meeting is continued when two or more of the contacts in the situation before the analysis target situation continue to contact each other during the analysis target situation. It is characterized by determining.

  Preferably, the importance level update unit has the same situation information of the situation before and after the analysis target based on the meeting continuation information generated by the meeting continuation detection unit and the situation transition information generated by the situation transition information generation unit. If the meeting is continued in the status of the analysis target, the status of the analysis target is determined as the status of the interrupting work, and the status importance of the status of the analysis target is the status important before the status of the analysis target. It is characterized by updating to a value higher than the degree.

  In addition, the hardware configuration and flowcharts in the above-described embodiments and modifications are merely examples, and can be arbitrarily changed and modified.

  In the above embodiment, as shown in FIG. 3, FIG. 5, and FIG. 7, the business start time and the business end time are managed, but in a main routine (not shown), a predetermined A configuration may be adopted in which a detection signal transmitted from an RFID reader that detects an RFID tag at a time interval is received, and business start time and business end time are managed.

  Further, when the business analysis system is realized by sharing an OS (operating system) and an application program, or by cooperation between the OS and the application program, only the application program portion may be stored in the storage medium 3.

  It is also possible to superimpose a business analysis program on a carrier wave and distribute it via a communication network. For example, a business analysis program may be posted on a bulletin board (BBS, Bulletin Board System) on a communication network, and the business analysis program may be distributed via the network. The business analysis program may be activated and executed in the same manner as other application programs under the control of the OS, so that the processing of the above embodiment can be executed.

It is a block diagram which shows the example of a whole structure of the work analysis system which concerns on embodiment of this invention. It is a block diagram of a 1st embodiment which shows the composition of the data processor of the present invention. It is a flowchart which shows the work analysis method in the 1st Embodiment of this invention. It is a block diagram of 2nd Embodiment which shows the structure of the data processor of this invention. It is a flowchart which shows the work analysis method in the 2nd Embodiment of this invention. It is a block diagram of 3rd Embodiment which shows the structure of the data processor of this invention. It is a flowchart which shows the work analysis method in the 3rd Embodiment of this invention. It is a figure which shows the positional infomation database which has recorded the positional information which the status information acquisition part in each embodiment of this invention hold | maintains. It is a figure which shows the range of the X coordinate of each area in the office registered into the area table of the memory | storage device of FIG. 1, and the Y coordinate. It is a figure which shows the weight data of each area registered into the area weight table of the memory | storage device of FIG. It is a figure which shows the weight data of each person registered into the person weight table of the memory | storage device of FIG. It is a figure which shows the status importance of the status information from the 1st status of the work start in the specific Example of this invention. It is a figure of the situation transition information at the time of setting the window size to 2 in the specific Example of this invention. It is a figure which shows the importance of the status transition information shown in FIG. It is a figure which shows the situation information and situation importance in the condition of t = 3 in FIG. It is a figure which shows the correspondence of a stay area and the contact number of persons, and a business name in the specific Example of this invention. It is a figure which shows the status information of the employee A in the specific Example of this invention. It is a figure which shows the status information of the employee B in the specific Example of this invention. It is a figure which shows the status information of the employee C in the specific Example of this invention. It is a figure which shows the meeting continuation information and importance of the status transition information in the case of t = 3 in the specific Example of this invention. It is a figure which shows the area information of the employee A seat in the specific Example of this invention.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Business analysis system 2 Data processing device 3 Storage medium 4 Input device 5 Output device 6 Storage device 7 Work memory 8 Clock part 9 Receiving device 11 Status information acquisition part 12 Importance calculation part 13 Status transition information generation part 14 Importance update part 15 Business Classification Unit 16 Meeting Continuity Detection Unit 17 Seat Detection Unit 61 Business Classification Table 62 Area Table 63 Person Weight Table 64 Area Weight Table

Claims (21)

Status information acquisition means for acquiring status information including a person's stay area, status start time, status maintenance time, and contact list based on the position information of the person and the target of the work;
Importance calculation means for calculating the situation importance from the situation information acquired by the situation information acquisition means and storing it in a predetermined storage means;
Status transition information generating means for generating status transition information of the status of the analysis target using the status information before and after the status of the analysis target and the status importance calculated by the importance calculation means;
Importance updating means for updating the situation importance stored in the storage means based on the situation transition information generated by the situation transition information generating means;
Business classification means for performing weighted business classification based on the situation information acquired by the situation information acquisition means using the correspondence relationship between the predetermined situation information and the business name and the situation importance stored in the storage means; ,
A business analysis system characterized by comprising:   The business analysis system according to claim 1, wherein the importance calculation unit calculates the situation importance using the importance of the person and the importance of the area.   The importance level update unit, based on the status transition information generated by the status transition information generation unit, if the status information of the status before and after the analysis target is the same, the status of the analysis target and the status of the interrupt task The business analysis system according to claim 1 or 2, wherein the situation importance of the situation to be analyzed is determined and updated to a value higher than the situation importance before the situation to be analyzed. Status information acquisition means for acquiring status information including a person's stay area, status start time, status maintenance time, and contact list based on the position information of the person and the target of the work;
Importance calculation means for calculating the situation importance from the situation information acquired by the situation information acquisition means and storing it in a predetermined storage means;
Monitor the situation information acquired by the situation information acquisition means, detect that a person has left the analysis target meeting, and generate a meeting continuation information when it is determined that the meeting continues after leaving the meeting Meeting continuation detection means,
Status transition information generating means for generating status transition information of the status of the analysis target using the status information before and after the status of the analysis target and the status importance calculated by the importance calculation means;
Importance updating means for updating the situation importance stored in the storage means based on the situation transition information generated by the situation transition information generating means and the meeting continuation information generated by the meeting continuation detecting means;
Business classification means for performing weighted business classification based on the situation information acquired by the situation information acquisition means using the correspondence relationship between the predetermined situation information and the business name and the situation importance stored in the storage means; ,
A business analysis system characterized by comprising:   The meeting continuation detection means determines that the meeting is continued when two or more of the contacts in the situation before the analysis target situation continue to contact each other during the analysis target situation. The business analysis system according to claim 4, wherein:   Whether the importance level update means has the same situation status information before and after the analysis target based on the meeting continuation information generated by the meeting continuation detection means and the situation transition information generated by the situation transition information generation means. Alternatively, if the meeting is continued in the status of the analysis target, the status of the analysis target is determined as the status of the interrupting work, and the status importance of the status of the analysis target is higher than the status importance before the status of the analysis target. The business analysis system according to claim 4, wherein the business analysis system is updated to a high value. Seat detecting means for detecting the position of the longest accumulated stay time as the seat information of the person based on the position information of the person and the work;
Situation information acquisition means for acquiring situation information including the person's stay area, situation start time, situation maintenance time, and contact list from the position information of the person and the seat information detected by the seat detection means;
Importance calculation means for calculating the situation importance from the situation information acquired by the situation information acquisition means and storing it in a predetermined storage means;
Status transition information generating means for generating status transition information of the status of the analysis target using the status information before and after the status of the analysis target and the status importance calculated by the importance calculation means;
Importance updating means for updating the situation importance stored in the storage means based on the situation transition information generated by the situation transition information generating means;
Business classification means for performing weighted business classification based on the situation information acquired by the situation information acquisition means using the correspondence relationship between the predetermined situation information and the business name and the situation importance stored in the storage means; ,
A business analysis system characterized by comprising: A first step of obtaining situation information including a person's stay area, situation start time, situation maintenance time, and contact list based on the location information of the person and his work;
A second step of calculating a situation importance from the situation information acquired in the first step and storing it in a predetermined storage means;
A third step of generating status transition information of the status of the analysis target using the status information before and after the status of the analysis target and the status importance calculated in the second step;
A fourth step of updating the situation importance stored in the storage unit based on the situation transition information generated by the third step;
Fifth step of performing weighted job classification from the situation information acquired by the first step using the correspondence relationship between the predetermined situation information and the job name and the situation importance stored in the storage means When,
A business analysis method characterized by executing   9. The business analysis method according to claim 8, wherein in the second step, the situation importance is calculated using the importance of the person and the importance of the area.   In the fourth step, based on the status transition information generated in the third step, when the status information of the status before and after the analysis target is the same, the status of the analysis target is determined as the status of the interrupting task. The business analysis method according to claim 8, wherein the status importance of the status of the analysis target is updated to a value higher than the status importance before the status of the analysis target. A first step of obtaining situation information including a person's stay area, situation start time, situation maintenance time, and contact list based on the location information of the person and his work;
A second step of calculating a situation importance from the situation information acquired in the first step and storing it in a predetermined storage means;
The situation information acquired in the first step is monitored, it is detected that a person has left the analysis target meeting, and if it is determined that the meeting continues even after leaving, meeting continuation information is generated. A third step;
A fourth step of generating status transition information of the status of the analysis target using the status information before and after the status of the analysis target and the status importance calculated by the second step;
A fifth step of updating the status importance stored in the storage unit based on the status transition information generated by the fourth step and the meeting continuation information generated by the third step;
A sixth step of performing weighted job classification based on the situation information acquired in the first step and the situation importance stored in the storage unit using the correspondence between the situation information and the job name determined in advance. When,
A business analysis method characterized by executing   The third step is to determine that the meeting continues if two or more of the contacts in the situation prior to the situation to be analyzed remain in contact with each other during the period of the situation to be analyzed. The business analysis method according to claim 11.   In the fifth step, based on the meeting continuation information generated in the third step and the situation transition information generated in the fourth step, the situation information of the situation before and after the analysis target is the same or If the meeting is continued in the status of the analysis target, the status of the analysis target is determined as the status of the interrupting work, and the status importance of the status of the analysis target is higher than the status importance before the status of the analysis target The business analysis method according to claim 11, wherein the business analysis method is updated to a value. A first step of detecting as a person's seat information a position having the longest accumulated stay time based on the position information of the person and the task;
A second step of acquiring situation information including the person's stay area, situation start time, situation maintenance time, and contact list from the position information of the person and the seat information detected by the first step;
A third step of calculating a situation importance from the situation information acquired in the second step and storing it in a predetermined storage means;
A fourth step of generating status transition information of the status of the analysis target using the status information before and after the status of the analysis target and the status importance calculated by the third step;
A fifth step of updating the situation importance stored in the storage unit based on the situation transition information generated by the fourth step;
A sixth step of performing weighted job classification based on the situation information acquired in the first step and the situation importance stored in the storage unit using the correspondence between the situation information and the job name determined in advance. When,
A business analysis method characterized by executing Computer
Status information acquisition means for acquiring status information including a person's stay area, status start time, status maintenance time, and contact list based on the position information of the person and the target of the work;
Importance calculation means for calculating the situation importance from the situation information acquired by the situation information acquisition means and storing it in a predetermined storage means;
Status transition information generating means for generating status transition information of the status of the analysis target using the status information before and after the status of the analysis target and the status importance calculated by the importance calculation means;
Importance updating means for updating the situation importance stored in the storage means based on the situation transition information generated by the situation transition information generating means;
Business classification means for performing weighted business classification based on the situation information acquired by the situation information acquisition means using the correspondence relationship between the predetermined situation information and the business name and the situation importance stored in the storage means; ,
Business analysis program characterized by functioning as   The business analysis program according to claim 15, wherein the importance calculation means calculates the situation importance using the importance of the person and the importance of the area.   The importance level update unit, based on the status transition information generated by the status transition information generation unit, if the status information of the status before and after the analysis target is the same, the status of the analysis target and the status of the interrupt task The business analysis program according to claim 15 or 16, wherein determination is made, and the situation importance of the situation to be analyzed is updated to a value higher than the situation importance before the situation to be analyzed. Computer
Status information acquisition means for acquiring status information including a person's stay area, status start time, status maintenance time, and contact list based on the position information of the person and the target of the work;
Importance calculation means for calculating the situation importance from the situation information acquired by the situation information acquisition means and storing it in a predetermined storage means;
Monitor the situation information acquired by the situation information acquisition means, detect that a person has left the analysis target meeting, and generate a meeting continuation information when it is determined that the meeting continues after leaving the meeting Meeting continuation detection means,
Status transition information generating means for generating status transition information of the status of the analysis target using the status information before and after the status of the analysis target and the status importance calculated by the importance calculation means;
Importance updating means for updating the situation importance stored in the storage means based on the situation transition information generated by the situation transition information generating means and the meeting continuation information generated by the meeting continuation detecting means;
Business classification means for performing weighted business classification based on the situation information acquired by the situation information acquisition means using the correspondence relationship between the predetermined situation information and the business name and the situation importance stored in the storage means; ,
Business analysis program characterized by functioning as   The meeting continuation detection means determines that the meeting is continued when two or more of the contacts in the situation before the analysis target situation continue to contact each other during the analysis target situation. The business analysis program according to claim 18, wherein:   Whether the importance level update means has the same situation status information before and after the analysis target based on the meeting continuation information generated by the meeting continuation detection means and the situation transition information generated by the situation transition information generation means. Alternatively, if the meeting is continued in the status of the analysis target, the status of the analysis target is determined as the status of the interrupting work, and the status importance of the status of the analysis target is higher than the status importance before the status of the analysis target. 20. The business analysis program according to claim 18 or 19, wherein the business analysis program is updated to a high value. Computer
Seat detecting means for detecting the position of the longest accumulated stay time as the seat information of the person based on the position information of the person and the work;
Situation information acquisition means for acquiring situation information including the person's stay area, situation start time, situation maintenance time, and contact list from the position information of the person and the seat information detected by the seat detection means;
Importance calculation means for calculating the situation importance from the situation information acquired by the situation information acquisition means and storing it in a predetermined storage means;
Status transition information generating means for generating status transition information of the status of the analysis target using the status information before and after the status of the analysis target and the status importance calculated by the importance calculation means;
Importance updating means for updating the situation importance stored in the storage means based on the situation transition information generated by the situation transition information generating means;
Business classification means for performing weighted business classification based on the situation information acquired by the situation information acquisition means using the correspondence relationship between the predetermined situation information and the business name and the situation importance stored in the storage means; ,
Business analysis program characterized by functioning as

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