JPWO2016079827A1 - Evaluation system and management system - Google Patents

Abstract

It is a system for evaluating the state of the workplace, and stores manager identification information, employee identification information, and face-to-face identification information, according to the manager identification information and the employee identification information, Determine the position of whether the faced identification information is an administrator or an employee, calculate the number of employees faced by the administrator, and determine the state of the workplace based on the calculated number of persons .

Description

  The present invention relates to an evaluation system and a management system.

  A high employee turnover rate for managers is a major problem, leading to increased recruitment and training costs. Therefore, managers are taking various measures such as mental health seminars and workplace environment improvements. In many companies, managers pay attention to employee behavior and provide care if something abnormal is seen. In this case, the manager has to keep an eye on the actions of many employees, and the burden on the manager is large, and whether or not an abnormality can be noticed depends greatly on the ability of the manager.

  With regard to such employee management, Patent Document 1 provides an employee behavior management method and management system that enables early detection and management of mental health conditions based on individual behavioral characteristics. Then, based on the behavioral characteristics such as the keyboard type and the frequency of leaving the seat, a technique for prompting the manager to deal with an employee with abnormal behavior as compared with the behavioral characteristics at normal time is disclosed.

JP 2011-123579 A

  According to the technique disclosed in Patent Document 1, it is possible to reduce the burden on the manager for managing employees. However, the technique disclosed in Patent Document 1 cannot improve the entire workplace regardless of individual behavior. Also, the risk of job separation was not taken into account, and it was not possible to target employees who did not act well.

  The present invention has been made in view of the above, and an object of the present invention is to evaluate the possibility of job separation in the entire workplace in order to improve the workplace and improve the retention rate of employees.

  In order to solve the above-described problems and achieve the object, a typical evaluation system according to the present invention is a system for evaluating the state of a workplace, and includes identification information of an administrator, identification information of an employee, Storing face-to-face identification information, and determining the position of whether the face-to-face identification information is an administrator or an employee according to the administrator's identification information and the employee's identification information, and The number of the employees who face each other is calculated, and the state of the workplace is determined based on the calculated number of employees.

  According to the present invention, it is possible to evaluate the possibility of job separation in the entire workplace. Based on this, measures for workplace improvement can be made, and the retention rate of employees can be improved.

It is a figure which shows the example of a structure of the whole management system. It is a figure which shows the example of the correlation with the number of employees and the absence rate which a manager faces during a break. It is a figure which shows the example of facing information data. It is a figure which shows the example of user information data. It is a figure which shows the example of beacon information data. It is a figure which shows the example of beacon facing information data. It is a figure which shows the example of the processing flow which determines that places other than a desk are in a break. It is a figure which shows the example of the processing flow which determines with other than the detection in a work space being in rest. It is a figure which shows the example of the processing flow which totals the number of facing employees and facing time. It is a figure which shows the example of the processing flow of determination of a job separation risk and a risk ranking. It is a figure which shows the example of the screen for confirming a job separation risk. It is a figure which shows the example of the screen for reporting a job separation risk. It is a figure which shows the example of the screen for warning about a job separation risk. It is a figure which shows the example of the processing flow which calculates a premium.

  Embodiments according to the present invention will be described in detail with reference to FIGS. FIG. 1 is a diagram showing an example of the configuration of the entire management system. A user (100a-100d) (hereinafter referred to as user (100) if the user (100a-100d) is not individually distinguished) is a name tag type sensor (101a-101d) (hereinafter referred to as a name tag type) incorporating an infrared sensor. If the sensors (101a to 101d) are not individually distinguished, they are users who wear the name tag type sensors (101), and are managers or employees of the workplace. When the name tag type sensor (101) records the communication and time of each other's ID, it becomes possible to measure who and who are facing each other (hereinafter referred to as facing information data).

  Here, the name tag type sensor (101) is not limited to the one that incorporates an infrared sensor and detects the face-to-face, but may be face-to-face detection by other types of sensors as long as the face-to-face information data can be measured. For example, a sensor capable of detecting each other that the name tag type sensor (101a) and the name tag type sensor (101b) are within a predetermined distance and within a predetermined angle range may be used. In addition, the sensor records the beacon ID and the communication time (hereinafter, beacon meeting information data) by communicating with a beacon (106) that can be installed in various places. The face-to-face information data and beacon face-to-face information data acquired by the sensor are stored in the data server (120) managed by the administrator via the network (109).

  The evaluation system (110) has a data server (120) and a calculation server (130), accumulates meeting information data and beacon meeting information data, and performs analysis processing. The data server (120) may be a general computer and has a CPU (Central Processing Unit) (128), a memory (129), a network I / F (Interface) (127), and a database (126). The CPU (128) operates according to the program stored in the memory (129), and transfers data between the network I / F (127) and the database (126). The network I / F (127) may be used for communication with the calculation server (130).

  The data server (120) records the face-to-face information data (121) and the beacon face-to-face information data (124) collected by the name tag type sensor (101) in the database (126) in the data server (120). The face-to-face information data (121) and the beacon face-to-face information data (124) may be communicated in real time via the network (109) to record information, or are gathered at regular intervals such as every hour or every day. Communication may be performed and information may be recorded.

  Further, the data server (120) records user information data (123) such as the node ID and user name of the name tag type sensor (101) worn by each user (100) in the database (126) in the server. . Also, beacon information data (124) such as beacon ID and beacon installation location is recorded in the database (126) in advance. In the following description, it is assumed that each of the above-described data is stored in a database in an HDD (Hard Disk Drive). However, for example, the data may be stored in a flash memory or an SSD (Solid State Disk). Various programs and various data may be divided and recorded in the recording apparatus. The same applies to the calculation server (130) described below.

  The calculation server (130) includes a break determination program (135) for determining whether the data is stored in the data server (120), whether it is a work or a break, and a face-to-face person counting program (136) for counting the number of face-to-face persons and the face-to-face time. ), A job separation risk determination program (137) for determining the risk of job separation, and a charge calculation program (138) for calculating a premium such as insurance are stored in the storage device (134), and these programs are stored in the memory (133). Then, the CPU (132) executes these programs.

  For this reason, the CPU (132) executing each program may be regarded as a processing unit. For example, the CPU (132) executing the break determination program (135) may be regarded as a break determination processing unit. In the following description, the subject of processing whose program is the subject may be the CPU (132), and the subject may be replaced by the CPU (132).

  The network I / F (131) is an interface for connecting to the data server (120) via a network (not shown) or the network (109), and can acquire the database (126) of the data server (120). The database (139) stores calculation processing results of the break determination program (135), the face-to-face aggregation program (136), the job separation risk determination program (137), and the like. The calculation processing result of the premium calculation program (138) may be stored. In the database (139), a part or all of the data of the database (126) may be copied and the same data as the database (126) may be stored.

  When each program group stored in the storage device (134) is executed, the calculation server (130) reads the data to be analyzed from the data server (120) and temporarily stores it in the memory (133). The CPU (132) reads out each program to the memory (133) and executes it to implement various functions.

  Information such as the execution result of the job separation risk judgment program (137) is used by the administrator (142) via the network (140) by the network I / F or the network I / F (131) (not shown). It is displayed on the terminal (141). Here, the administrator (142) may be the same as the administrator in the user (100). Moreover, the information of user information data (123) and beacon information data (124) may be input by the computer terminal (141). Furthermore, the computer terminal (141) may be directly connected to the calculation server (130) without going through the network (140).

  Although FIG. 1 shows an example in which the data server (120) and the calculation server (130) are different servers, these two servers may be one server, and each data is stored in a different server. In addition, a system in which each program is executed by a different server may be used. Moreover, although the example in which the network (109) and the network (140) are different networks is shown, these two networks may be one network.

  Next, the correlation between the number of employees facing the manager during the break discovered by the inventors and the absence rate of employees on the next day will be briefly described. Here, the employee is a worker who performs simple labor, and the manager is a person who is responsible for a decrease in employee turnover. For example, telemarketers in call centers are employees, and supervisors, team leaders, and managers are managers. As another example, a part-time job at a restaurant or retail store is an employee, and a store manager is an administrator.

  In addition, there is a high correlation between the number of employees faced by managers during breaks and the absence rate of employees the next day, and the higher the absence rate, which is generally said, increases the possibility of leaving work. By using this, it is possible to reduce the employee turnover rate by taking measures before the number of employee absences increases while reducing the number of cares to employees.

  FIG. 2 is a diagram showing an example of a graph (200) showing the correlation between the average number of employees per day faced by an administrator actually measured at a certain call center and the absence rate on the next day. The correlation coefficient r is −0.35 (p <0.01), which shows that there is a significant correlation. This indicates that if the number of employees facing the manager during a break is large, the absence rate of the next day will be low. Conversely, if the number of employees facing the manager during a break decreases, the absence rate for the next day increases.

  For example, the threshold value used to issue a warning to the manager is calculated based on the actual data of the number of employees and the absence rate that the manager faces during the break. Using the linear function calculated from actual data (absence rate = correlation coefficient r x number of employees facing the manager during break + intercept), the average absentee rate and the absentee rate allowed by the administrator, etc. By substituting for the variable of the linear function, the obtained solution is set as a threshold. However, the procedure for determining the threshold value is merely an example, and the procedure may be such that the administrator designates the threshold independently.

  FIG. 3 is a diagram showing an example of meeting information data (121) stored in the data server (120). As shown in FIG. 3, the face-to-face information data (121) is composed of face-to-face information data 1 (303) and face-to-face information data 2 (310) every day, for example, data (301) on September 2, 2014. And data (320) as of September 3, 2014. The face-to-face information data 1 (303) includes a node ID (304) and information on the number of faces at each time (305-309). The node ID (304) is an ID of the name tag type sensor (101), and is substantially an ID for identifying the user (100).

  The face-to-face information data 2 (310) includes a node ID (311) and face-to-face node IDs (312-316) in order from the node ID with the earliest face-to-face time. In the meeting information data 1 (303), when the number of meeting persons at time t is k, in order to know the number of the node ID that has been met, the total number s of meeting persons until time t-1 is calculated, and the meeting information Reference may be made to the s + 1 to s + kth of data 2 (310). The node ID (312-316) facing the information on the number of people facing (304-309) regarding one ID common to the node ID (304) and the node ID (311) is taken as a record.

  The face-to-face information data (121) shown in FIG. 3 looks like the data structure of the table, but is not limited to the data structure of the table, and may be another data structure such as a list. The data structures shown in FIGS. 4 to 6 described below may be different from the illustrated data structures.

  FIG. 4 is a diagram showing an example of user attribute information data (123) stored in the data server (120). As shown in FIG. 4, the user attribute information data (123) includes the node ID (400) of the name tag type sensor (101) worn by each user (100), the user name (401), and the job title of each user (100) ( 402), information such as a desk number (403) used by each user (100) is included. Here, for the sake of convenience, the positions are managers and employees, those who use the system are managers, and those who are managed by the managers are employees. As long as it is possible to distinguish between the administrator who uses the system and the employee, other positions may be used. Moreover, the other information (404) regarding each user (100) may be included.

  FIG. 5 is a diagram illustrating an example of beacon information data (124) stored in the data server (120). As shown in FIG. 5, the beacon information data (124) includes information such as a beacon ID (500), an arrangement location (501), an arrangement coordinate (502), and a work determination (503). The beacon ID (500) is an ID for identifying the beacon (106).

  The arrangement place (501) specifies the place where the beacon (106) is arranged. As long as the location can be specified, a format such as the location coordinate (502) may be used, and a plurality of pieces of information such as the location location (501) and the location coordinate (502) may be included. The work determination (503) is information for determining whether the manager or employee is working or taking a break, and whether the work space or the rest space is preset according to the location where the beacon (106) is installed. The As will be described later, if the work determination (503) is a rest space, it is determined that a break is in progress. Also, other information (504) regarding the beacon (106) may be included.

  FIG. 6 is a diagram showing an example of beacon meeting information data (125) stored in the data server (120). As shown in FIG. 6, the beacon meeting information data (125) is composed of two pieces of beacon meeting information data 1 (602) and beacon meeting information data 2 (610) every day. For example, as of September 2, 2014 Data (601), data on September 3, 2014 (620), and the like. The beacon meeting information data 1 (602) includes a node ID (603) and information on the number of beacons facing each time (604-608).

  The beacon meeting information data 2 (610) includes the node ID (612) and the faced beacon IDs (613-617) in order from the beacon ID with the earliest meeting time. When the number of meeting beacons at time t is k, in order to know the number of meeting beacon IDs, the sum s of the number of meeting beacons up to time t−1 is calculated, and s + 1 of the beacon meeting information data 2 To s + kth. A beacon number information (604-608) and a beacon ID (613-617) regarding one ID common to the node ID (603) and the node ID (612) are records.

  FIG. 7 shows the determination result of whether the user (100) is working or resting from the user information data (123), the beacon information data (124), and the beacon meeting information data (125) on the designated date. It is a figure which shows the example of the processing flow stored in (). This example is an example of the processing flow of the break determination program (135). Here, the break determination program (135a) will be described, and another example will be described as a break determination program (135b) with reference to FIG.

  First, the break determination program (135a) of the calculation server (130) reads the user information data (123), the beacon information data (124), and the beacon meeting information data (125) of the designated date (processing step 700). As already described, these read data may be stored in the memory (133) or in the database (139). Next, one user is selected from the users (100), and the record for one user of the beacon meeting information data (125) is read (processing step 701), that is, the name tag worn by the selected user. The node ID (603) and node ID (612) records that match the node ID of the type sensor are read.

  The arrangement location (501) of the beacon (106) corresponding to the beacon ID (613-617) recorded at each time of the read record is compared with the desk number (403) of the selected user (processing step) 702). If it matches the user's desk number (403) at a certain time, it is determined that the user at that time was working, and if not, it is determined that the user at that time was resting. (Processing Step 703). These determination results are stored in the database (139). The above processing is repeated until the last record is reached, that is, until all node IDs (603, 612) recorded in the beacon meeting information data (125) are determined (processing step 704). If the record is the last, the process ends (processing step 705).

  FIG. 8 shows the determination result of whether the user (100) is working or resting from the user information data (123) and the beacon information data (124) and the beacon meeting information data (125) of the specified date. It is a figure which shows another example of the processing flow stored in (). In the processing flow of the break determination program (135a) described with reference to FIG. 7, the determination is made only with the beacon (106) installed on the desk used by the user (100), but the break determination described with reference to FIG. In the processing flow of the program (135b), a beacon (106) is also installed in a work space such as a conference room or a rest space such as a cigarette room, and it is determined whether the user (100) is working or resting.

  First, the break determination program (135b) of the calculation server (130) reads the user information data (123), the beacon information data (124), and the beacon meeting information data (125) of the designated date (processing step 800). Next, one user is selected from the users (100), and a record for one user of the beacon meeting information data (125) is read (processing step 801). Then, it is determined whether a beacon ID is recorded at each time of the read record (processing step 802).

  When the beacon ID is recorded at each time and the beacon (106) has a response, the work of the location where the beacon (106) corresponding to the recorded beacon ID is based on the beacon information data (124) It is confirmed whether the determination (503) is a work space (processing step 803). If the work determination (503) is a work space, it is determined that the user is working at that time and is stored in the database (139) (processing step 805). If the work determination (503) is a break space, it is stored in the database (139) as a break (processing step 806).

  On the other hand, if there is no response of the beacon (106) at a specific time and no beacon ID is recorded, it is confirmed whether or not the work space is based on the data recorded before and after the specific time (processing step 804). ). For example, the work determination (503) corresponding to the last recorded beacon ID before the time without recording is the work space, and the work determination corresponding to the first recorded beacon ID after the time without recording When (503) is a work space, that is, when both the front and rear are work spaces, the work is stored in the database (139) (processing step 807).

  The work determination (503) corresponding to the last recorded beacon ID before the time when there is no recording and the work determination (503) corresponding to the beacon ID recorded first after the time when there is no recording. If either or both are rest spaces, they are stored in the database (139) as being resting (processing step 808). Thus, even when the number of beacons (106) is small and not arranged so as to cover the entire workplace, it can be estimated whether the user (100) is working or resting. If the read record is the last record (processing step 809), the processing ends (processing step 810).

  FIG. 9 shows the number of employees faced by the administrator during the break from the user information data (123), the beacon information data (124), and the face-to-face information data (121) on the specified date, It is a figure which shows the example of a processing flow of the meeting person totaling program (136) which totals the time which faced. First, the face-to-face person counting program (136) in the calculation server (130) reads the user information data (123), the beacon information data (124), and the face-to-face information data (121) of the designated date (processing step 900). . Next, the break determination program (135) is executed for the specified date (processing step 901).

  Here, an example of the processing flow of the break determination program (135) is as described with reference to FIGS. 7 and 8, and the program executed in the processing step 901 may be the break determination program (135a). Alternatively, it may be a break determination program (135b). Furthermore, the break determination program (135b) may be executed after the break determination program (135a) is executed. One user is selected from the users (100), and the record for one user of the meeting information data (121) is read (processing step 902).

  Then, it is determined whether the selected user is an administrator or an employee (processing step 903). That is, the position (402) of the node ID (400) that matches the node ID (304, 311) of the portable sensor worn by the selected user is determined. When the selected user is an administrator, the number of employees who faced during the break during the day is counted using the information during breaks, which is the execution result of the break determination program (135), and stored in the database (139) Store (processing step 904).

  For example, when the node ID (304) is a portable sensor worn by the administrator, the node ID (312-316) corresponding to the information (304-309) of the number of people at each time of the record of the node ID (304) ), And within the acquired node ID (312-316), based on the node ID (400) and job title (402) information, it is limited to the employee's node ID, and the employee's node during the break It may be limited to IDs. In this aggregation, even if a plurality of the same node IDs are recorded, it may be aggregated as one person, and the number of employees who face each other multiple times may be aggregated as one person.

  On the other hand, when the selected user is an employee, the times when the manager meets during the break are totaled and stored in the database (139) (processing step 905). For example, when the node ID (304) is a portable sensor worn by an employee, the node ID (312-316) corresponding to the information (304-309) of the number of people at each time of the record of the node ID (304) ) In the acquired node ID (312-318), the node ID of the administrator is identified based on the information of the node ID (400) and the position (402), and the node ID of the administrator is corresponded You may total the time during the break during the time.

  In the example of FIG. 3, since data is recorded in the meeting information data (121) every minute, the meeting time when one piece of data is recorded is 1 minute, and the number of recorded data is It may be accumulated. These processes are repeated until the last record is reached. When the last record is reached, the process ends (processing step 906).

  FIG. 10 is a diagram illustrating an example of a processing flow of the job separation risk determination program (137). In this example of the processing flow, the period of data used to determine the risk of job separation is specified, and whether the risk of job separation is increasing by executing the meeting totaling program (136) to aggregate the data. In addition, the manager ranks employees who should be cared for and stores them in the database (139). First, the job turnover risk determination program (137) in the calculation server (130) receives a setting period of data used for turnover risk determination (processing step 1000).

  Next, a meeting person totaling program (136) is executed (processing step 1001). Based on the execution result of the face-to-face person counting program (136), the average number of face-to-face persons per manager is calculated (processing step 1002). If the average number of people meeting is smaller than a preset threshold value, it can be determined that the risk of job separation has increased (processing step 1003). Then, the sum of meeting times with one or more managers of each employee during the period is calculated and sorted in ascending order of the sum (processing step 1004). The sort result is stored in the database (139) (processing step 1005), and the processing ends (processing step 1006). On the other hand, if the average number of people meeting is greater than the threshold value, it can be determined that the risk of job separation has not increased, so the processing ends.

  FIG. 11 is a diagram showing an example of a screen (1100) of the computer terminal (141) for the administrator to confirm the employee turnover risk. The administrator (142) inputs the start date (1102) and end date (1103) of the data determination period (1101), and the execution button (1104) is pressed to execute the job separation risk determination program (137). Is done. In this execution, if it is judged that the risk of job separation is increasing in the job separation risk judgment program (137), the judgment result (1110) is managed together with a warning (1111) to the administrator (142). A list of employees (1112-1116) to be cared for by the person is displayed in turn.

  For each display number (1112) and employee name (1113), the meeting time (1114) with the manager, the absence rate (1115), and the like may be displayed. In addition, when beacon meeting information data (125) is collected in real time, the manager goes to the meeting to see where the employee is resting by presenting the employee's location (1116) It is also possible. For the absentee rate (1115), general attendance management information that is not shown or described may be used. When all information cannot be displayed on one screen, the display may be scrollable by a scroll bar 1117.

  FIG. 12 is a diagram showing an example of the screen (1200) of the computer terminal (141) for reporting the employee turnover risk to the manager. FIG. 12 differs from FIG. 11 in that the data determination period is set in advance and the job separation risk determination program (137) is periodically executed as a background job without pressing the execution button by the administrator for confirmation. When it is determined that the risk of job separation is increasing, the screen (1200) is displayed on the computer terminal (141). The display content (1201-1207) on the screen is the same as that described with reference to FIG.

  For example, when the judgment period is set to 3 days in advance and the periodic execution timing is set to daily, the job separation risk judgment program for data up to 2 days before that day including that day every day (137) May be executed. In addition, since execution of a regular program is generally performed widely, description is abbreviate | omitted. In addition, when the name (1204) is clicked, the display (1208) is given an order (1209) and the face-to-face time (1211) with each manager (1210) is presented. It is possible to promote face-to-face.

  FIG. 13 is a diagram showing an example of a screen of the computer terminal (141) for warning the manager about the risk of employee turnover. As in FIG. 12, the data determination period and the threshold are set in advance. When it is determined that the risk of job separation is increasing, a browser window (1300) is automatically opened and alerted in a pop-up manner, unlike FIG. Note that pop-up browser windows are generally widely used, and thus description thereof is omitted.

  Next, insurance for corporations, which is one application example of the present invention, will be described. In recent years, the aforementioned job separation problems, mental disorders such as employee mood disorders, anxiety disorders, and schizophrenia have become major risks in companies. Therefore, insurance for corporations that compensates for leave due to job separation or mental illness provides attention to employees, and has been attracting attention for the purpose of sending out the message that it is a company that realizes an environment where people can work with peace of mind. ing.

  Here, insurance for a physical disease such as cancer insurance is relatively easy to quantitatively evaluate risk using age as an index and calculate a premium. On the other hand, because there is a great difference between individuals in leave due to employee turnover or mental illness, it is difficult to evaluate the risk quantitatively and appropriately calculate the premium based on the assessment of the target organization.

  Based on the above, FIG. 14 is a diagram showing an example of the processing flow of the premium calculation program (138) according to the present invention. Here, the concept described so far is applied to the turnover rate. Further, it is known that when the absenteeism rate increases, the morbidity rate of mental illness increases as well as the turnover rate, and the knowledge in FIG. 2 can also be applied to the calculation of premiums for compensation for mental illness leave. . In this example of the processing flow, the period of data used to calculate the premium is specified, the data is aggregated by executing the face-to-face aggregation program (136), and the state of the workplace in the corporation subject to the insurance contract And assess the risk of job separation and mental illness. Based on the evaluation, an insurance premium is calculated. First, a set period of data used for calculating a premium is input to the premium calculation program (138) in the calculation server (130) (processing step 1000).

  Next, a meeting person totaling program (136) is executed (processing step 1401). Based on the execution result of the face-to-face person counting program (136), the average number of face-to-face persons per manager is calculated (processing step 1402). Then, a premium is calculated based on the assessment of the target organization using the average number of people facing (processing step 1403), and the processing ends (processing step 1404). With this premium calculation program (138), it becomes easier to evaluate the risks such as employee turnover and morbidity, and it is possible to set the premium more appropriately. The relationship between the average number of face-to-face persons and premiums will not be described in detail here, but know-how for calculating premiums based on the average number of face-to-face figures is accumulated in insurance companies, such as modeling the relationship between both cases from past cases. It is supposed to be.

  In addition, this invention is not limited to an above-described Example, Various modifications are included. For example, the above-described embodiments have been described in detail for easy understanding of the present invention, and are not necessarily limited to those having all the configurations described. In addition, a part of the configuration of the embodiment can be replaced with another configuration, and another configuration can be added to the configuration of the embodiment. In addition, it is possible to add, delete, and replace other configurations for a part of the configuration of the embodiment.

DESCRIPTION OF SYMBOLS 100 ... User, 101 ... Name tag type sensor, 106 ... Beacon, 110 ... Evaluation system, 120 ... Data server, 121 ... Meeting information data, 123 ... User information data, 124 ... Beacon information data, 125 ... Beacon meeting information data, 130 ... Calculation server, 135 ... Break determination program, 136 ... Meeting program, 137 ... Job separation risk determination program, 138 ... Cash calculation program, 142 ... Administrator, 141 ... Computer terminal

Claims (13)

A system for evaluating the state of the workplace,
Store the manager's identification information, employee identification information and face-to-face identification information,
According to the identification information of the manager and the identification information of the employee, the position of the identification information that is faced is determined to be a manager or an employee, and the number of the employees that the manager has faced is determined. An evaluation system characterized by calculating and determining a state of a workplace based on the calculated number of persons. The face-to-face identification information includes one or more second face-to-face identification information faced with respect to the first face-to-face information and a face-to-face first time,
The position determination is performed by determining that the first identification information is a managerial position and the second identification information is an employee.
2. The evaluation system according to claim 1, wherein the calculation of the number of persons is based on the number of persons determined to be the employee facing the first time included in a set period. The facing identification information includes a plurality of the first identification information,
The determination of the position is to determine a plurality of managerial positions from the plurality of first identification information,
3. The evaluation according to claim 2, wherein the calculation of the number of persons includes calculating the number of employees by averaging the determined number of employees for each determined managerial position with the number of the managers. system. The identification information of the administrator further includes the arrangement information of the administrator's desk,
The employee identification information further includes employee desk location information,
Further storing the beacon identification information corresponding to the beacon placement information and the identification information facing the beacon;
The identification information facing the beacon includes identification information of one or more beacons facing the third identification information, and a second time of facing,
The desk arrangement information corresponding to the third identification information is acquired, and the beacon arrangement information corresponding to the one or more beacon identification information is the same as the acquired desk arrangement information. In this case, it is determined that the manager or employee of the third identification information is taking a break,
The calculation of the number of persons is based on the second identification information and the third identification information, and the first time and the second time, and is determined to be the break among the determined employees. The evaluation system according to claim 3, wherein the calculated number of persons is calculated. Further storing the identification information of the beacon corresponding to the information on whether or not the location of the beacon is a rest space, and the identification information facing the beacon,
The identification information facing the beacon includes identification information of one or more beacons facing the third identification information, and a second time of facing,
If the information on whether the location of the beacon corresponding to the identification information of the one or more beacons is a resting space is acquired, and the acquired information is a resting space, Determine that the manager or employee is on break,
The calculation of the number of persons is based on the second identification information and the third identification information, and the first time and the second time, and is determined to be the break among the determined employees. The evaluation system according to claim 3, wherein the calculated number of persons is calculated. Further storing the identification information of the beacon corresponding to the information on whether or not the location of the beacon is a rest space, and the identification information facing the beacon,
The identification information facing the beacon includes identification information of one or more beacons facing the third identification information, and a second time of facing,
For the third time other than the second time, the beacon placement location corresponding to the identification information of the one or more beacons is resting at the second time before or after the third time. Information on whether or not it is a space, and if the acquired information is a break space, it is determined that the manager or employee of the third identification information is resting,
The calculation of the number of persons is based on the second identification information, the third identification information, and the first time and the third time, and is determined to be the break among the determined employees. The evaluation system according to claim 3, wherein the calculated number of persons is calculated. Periodically determine the status of the workplace,
The evaluation system according to claim 3, wherein the determined workplace state is displayed based on the determined workplace state. The set period is entered,
Based on execution instructions, determine the status of the workplace,
The evaluation system according to claim 3, wherein the determined workplace state is displayed. The position determination further determines that the first identification information is an employee and the second identification information is an administrator,
For the first identification information determined to be the employee, the first time corresponding to the second identification information determined to be the manager is accumulated to calculate the meeting time,
The evaluation system according to claim 8, wherein the calculated meeting time is further displayed for each employee corresponding to the first identification information determined to be the employee. The accumulation of the first time is accumulated for each second identification information determined to be the administrator to calculate the meeting time,
When an employee in the display for each employee corresponding to the first identification information is selected,
With respect to the first identification information for which the selected employee is determined, the meeting time calculated for each second identification information is also managed corresponding to the second identification information determined to be the administrator. The evaluation system according to claim 9, further displaying for each person.   2. The evaluation system according to claim 1, wherein an insurance premium for the workplace is calculated based on the result of the determination. A system for evaluating the state of the workplace,
Stores manager identification information, employee identification information, face-to-face identification information and time,
According to the identification information of the manager and the identification information of the employee, it is determined whether the facing identification information is an administrator or an employee, and the meeting time of the manager that the employee has faced, An evaluation system that calculates based on the meeting time and displays the calculated meeting time. A system for managing the state of the workplace,
It has a name tag type sensor and an evaluation system that is worn by an administrator and an employee, has identification information, detects a face to face with another name tag type sensor, and transmits the faced identification information.
The evaluation system includes:
Receiving the facing identification information from the name tag type sensor,
Storing the identification information of the name tag type sensor worn by the manager, the identification information of the name tag type sensor worn by the employee, and the facing identification information;
According to the identification information of the name tag type sensor worn by the manager and the identification information of the name tag type sensor worn by the employee, it is determined whether the facing identification information is an administrator or an employee, and the management A management system characterized by calculating the number of employees facing a person and determining the state of the workplace based on the calculated number of employees.

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