JP6988503B2 - Programs, information processing equipment and information processing methods - Google Patents

Description

The present invention relates to a program, an information processing apparatus, and an information processing method.

In companies, schools, sports teams, etc., each individual may be evaluated by the movement of a person (may be called "behavior").

For example, in a company, when analyzing work styles, it is conceivable to aggregate the number of individual meetings, the time of meetings, the number of business trips, etc., and evaluate each employee based on the aggregated results.

International Publication No. 2017/1688487 Pamphlet Japanese Unexamined Patent Publication No. 2015-200968

However, even if individual behaviors are aggregated, individual movements may be evaluated sensuously, and the evaluation criteria may depend on human sensations.

One aspect is to accurately grasp the behavior pattern of a person.

The program measures a computer connected to each of a plurality of terminals via a plurality of relay devices to measure a coordinate displacement specified by a radio wave strength between the plurality of relay devices and each of the plurality of terminals. by, per unit time, calculates the respective movement distances of the plurality of terminals, the calculated the moving distance, and each of said plurality of terminals with the computer via at least one of the plurality of relay devices By dividing by the communicable time indicating the communicable time, the average speed of each of the plurality of terminals is calculated, and for each of the plurality of terminals, the communicable time and the calculated average speed are calculated. Output the distribution showing the relationship, and execute the process.

In one aspect, it is possible to accurately grasp a person's behavior pattern.

It is a block diagram which shows typically the structure of the information processing system as an example of an embodiment. It is a block diagram schematically showing the hardware configuration of the information processing apparatus in the information processing system shown in FIG. 1. It is a block diagram which shows typically the functional structure of the information processing apparatus shown in FIG. It is a figure explaining the movement distance measurement process in the information processing apparatus shown in FIG. It is a figure which shows the shape of the distribution map output in the information processing apparatus shown in FIG. It is a figure which illustrates the movement speed totaling table and the action pattern totalization table in the information processing apparatus shown in FIG. It is a figure which illustrates the distribution map output in the information processing apparatus shown in FIG. It is a figure which illustrates the line graph output in the information processing apparatus shown in FIG. It is a flowchart explaining the process in the information processing apparatus shown in FIG.

Hereinafter, one embodiment will be described with reference to the drawings. However, the embodiments shown below are merely examples, and there is no intention of excluding the application of various modifications and techniques not specified in the embodiments. That is, the present embodiment can be variously modified and implemented within a range that does not deviate from the purpose.

Further, each figure does not have the purpose of having only the components shown in the figure, but may include other functions and the like.

Hereinafter, since the same reference numerals indicate the same parts in the drawings, the description thereof will be omitted.

[A] Example of Embodiment [A-1] Example of system configuration FIG. 1 is a block diagram schematically showing a configuration of an information processing system 100 as an example of an embodiment.

The information processing system 100 in one example of the embodiment aggregates the behavior patterns of employees in a company and outputs them as work style patterns, for example.

The information processing system 100 includes an information processing device 1, a plurality of access points 2, and a plurality of terminals 3. Further, the display device 130 may be connected to the information processing device 1. In FIG. 1, for the sake of simplicity, only one access point 2 out of a plurality of access points 2 is shown.

The terminal 3 may include a mobile phone 31 and a beacon 32. The mobile phone 31 and the beacon 32 may be provided in the information processing system 100 only in one of them. The terminal 3 may be another device such as a notebook personal computer, a tablet terminal, or a personal digital assistant (PDA) that can be carried by a person.

The access point 2 is an example of a relay device, and relays communication between the information processing device 1 and the terminal 3. The communication standard between the access point 2 and the terminal 3 is, for example, WiFi or Bluetooth (registered trademark). The information processing system 100 may be provided with another relay device such as a gateway instead of the access point 2.

The information processing device 1 is communicably connected to the terminal 3 via the access point 2. The information processing apparatus 1 determines the position of the terminal 3 based on the radio wave strength between the access point 2 and the terminal 3 and the floor map 101 showing the arrangement position of the access point 2. The positioning method of the position of the terminal 3 will be described later with reference to FIG. 4 and the like.

The information processing apparatus 1 stores the position information of the terminal 3 on the positioned floor map 101 in the Database (DB) 140. The information processing device 1 uses the distribution of behavior patterns of each employee (described later using FIG. 7 and the like) and changes in the behavior patterns of individual employees (using FIG. 8 and the like) created based on the accumulated position information. Will be described later) is output to the display device 130.

FIG. 2 is a block diagram schematically showing a hardware configuration of the information processing apparatus 1 in the information processing system 100 shown in FIG.

The information processing device 1 includes a Central Processing Unit (CPU) 11, a memory 12, a display control unit 13, a storage device 14, an input interface (I / F) 15, a read / write processing unit 16, and a communication I / F 17.

The memory 12 is exemplifiedly a storage device including a Read Only Memory (ROM) and a Random Access Memory (RAM). A program such as a Basic Input / Output System (BIOS) may be written in the ROM of the memory 12. The software program of the memory 12 may be appropriately read and executed by the CPU 11. Further, the RAM of the memory 12 may be used as a primary recording memory or a working memory.

The display control unit 13 is connected to the display device 130 and controls the display device 130. The display device 130 is a liquid crystal display, an Organic Light-Emitting Diode (OLED) display, a Cathode Ray Tube (CRT), an electronic paper display, or the like, and displays various information to an operator or the like. The display device 130 may be combined with an input device, and may be, for example, a touch panel.

The storage device 14 is an exemplary device for readable and writable storage of data, and for example, a Hard Disk Drive (HDD), a Solid State Drive (SSD), or a Storage Class Memory (SCM) may be used. The storage device 14 functions as the DB 140 shown in FIG.

The input I / F 15 is connected to an input device such as a mouse 151 or a keyboard 152, and controls an input device such as the mouse 151 or the keyboard 152. The mouse 151 and the keyboard 152 are examples of input devices, and an operator performs various input operations via these input devices.

The read / write processing unit 16 is configured so that the recording medium 160 can be attached. The read / write processing unit 16 is configured to be able to read the information recorded on the recording medium 160 while the recording medium 160 is attached. In this example, the recording medium 160 is portable. For example, the recording medium 160 is a flexible disk, an optical disk, a magnetic disk, a magneto-optical disk, a semiconductor memory, or the like.

The communication I / F 17 is an interface for enabling communication with an external device. The communication I / F 17 connects the access point 2 to the information processing device 1 so as to be communicable.

FIG. 3 is a block diagram schematically showing the functional configuration of the information processing apparatus 1 shown in FIG.

The CPU 11 is a processing device that performs various controls and operations, and realizes various functions by executing an Operating System (OS) or a program stored in the memory 12. That is, as shown in FIG. 3, the CPU 11 of the information processing apparatus 1 functions as a first setting unit 111, a second setting unit 112, a first calculation unit 113, a second calculation unit 114, and an output processing unit 115.

The program for realizing the functions of the first setting unit 111, the second setting unit 112, the first calculation unit 113, the second calculation unit 114, and the output processing unit 115 is, for example, on the recording medium 160 described above. Provided in recorded form. Then, the computer reads the program from the recording medium 160 via the read / write processing unit 16, transfers the program to the internal storage device or the external storage device, stores the program, and uses the program. Further, the program may be recorded in a storage device (recording medium) such as a magnetic disk, an optical disk, or a magneto-optical disk, and provided to a computer from the storage device via a communication path.

When realizing the functions of the first setting unit 111, the second setting unit 112, the first calculation unit 113, the second calculation unit 114, and the output processing unit 115, the program stored in the internal storage device is a computer microprocessor. Performed by the processor. At this time, the computer may read and execute the program recorded on the recording medium 160. In this embodiment, the internal storage device is the memory 12, and the microprocessor is the CPU 11.

The CPU 11 schematically controls the operation of the entire information processing apparatus 1. The device for controlling the operation of the entire information processing device 1 is not limited to the CPU 11, and may be, for example, any one of MPU, DSP, ASIC, PLD, and FPGA. Further, the device for controlling the operation of the entire information processing device 1 may be a combination of two or more of the CPU, MPU, DSP, ASIC, PLD and FPGA. MPU is an abbreviation for Micro Processing Unit, DSP is an abbreviation for Digital Signal Processor, and ASIC is an abbreviation for Application Specific Integrated Circuit. PLD is an abbreviation for Programmable Logic Device, and FPGA is an abbreviation for Field Programmable Gate Array.

The first setting unit 111 sets a threshold value for the in-house stay time (may be referred to as “in-house working time”), and stores the set threshold value in, for example, a storage device 14. The first setting unit 111 may set the value input by the operator of the information processing apparatus 1 via the mouse 151 or the keyboard 152 and the input I / F 15 as the threshold value of the in-house stay time. The threshold for the time spent in the company may be determined based on the company's goal, for example, whether the employee's work style is centered on internal work or external work.

In other words, the first setting unit 111 sets a first threshold value regarding the communicable time indicating the communicable time between the information processing apparatus 1 and each of the plurality of terminals 3.

The second setting unit 112 sets a threshold value of the in-house movement speed (which may be simply referred to as “movement speed”), and stores the set threshold value in, for example, a storage device 14. The second setting unit 112 may set the value input by the operator of the information processing apparatus 1 via the mouse 151 or the keyboard 152 and the input I / F 15 as the threshold value of the in-house stay time. The internal movement speed threshold may be determined based on the company's goals, for example, depending on whether the employee's work style in the company is centered on desk work, work other than desk work, or meetings.

In other words, the second setting unit 112 sets a second threshold value regarding the average speed in each of the plurality of terminals 3.

The first calculation unit 113 calculates the movement distance of each of the plurality of terminals 3 per unit time. The details of the function of the first calculation unit 113 will be described later with reference to FIG. 4 and the like.

The second calculation unit 114 has a plurality of terminals based on the travel distance calculated by the first calculation unit 113 and the communicable time indicating the time during which communication between the information processing device 1 and each of the plurality of terminals 3 is possible. The average speed in each of 3 is calculated. Further, the second calculation unit 114 may calculate the average speed for each time zone. The details of the function of the second calculation unit 114 will be described later with reference to FIG. 6 and the like.

The output processing unit 115 outputs a distribution showing the relationship between the communicable time of the terminal 3 and the average speed of the terminal 3 for each of the plurality of terminals 3. Further, the output processing unit 115 may classify each of the plurality of terminals 3 into a plurality of groups by applying the threshold value of the in-house stay time and the threshold value of the in-house movement speed to the distribution. Further, the output processing unit 115 may output a change in the average speed for each time zone for at least one of the plurality of terminals 3. The details of the function of the output processing unit 115 will be described later with reference to FIGS. 7 and 8 and the like.

FIG. 4 is a diagram illustrating a moving distance measurement process in the information processing apparatus 1 shown in FIG.

FIG. 4 illustrates an office floor map 101 in a company. On the illustrated floor, 15 access points 2-1 to 2-15 are arranged as access points 2. Further, in the floor map 101, the xy plane is defined with the upper left of the drawing as the origin.

The first calculation unit 113 positions the position of the employee carrying the terminal 3 by, for example, a three-point positioning method. Further, the first calculation unit 113 stores the position information acquired by positioning in the DB 140 as a history together with the positioning time.

In the example shown in FIG. 4, an employee carrying the terminal 3 is located at the point A1 indicated by (x, y) = (100, 60). The first calculation unit 113 calculates the coordinates of the point A1 based on the radio wave intensity between the three access points 2 and the terminal 3 which are close to the terminal 3. That is, the coordinates of the point A1 are the radio field strength between the access point 2-8 and the terminal 3, the radio wave strength between the access point 2-7 and the terminal 3, and the access points 2-13 and the terminal 3. It is calculated based on the signal strength between.

Here, it is assumed that the employee moves to the point A2 indicated by (x, y) = (130, 45) after a unit time has elapsed from the time when the employee was located at the point A1. The first calculation unit 113 calculates the coordinates of the point A2 based on the radio wave intensity between the three access points 2 and the terminal 3 which are close to the terminal 3. That is, the coordinates of the point A2 are the radio field strength between the access point 2-8 and the terminal 3, the radio wave strength between the access point 2-9 and the terminal 3, and the access points 2-3 and the terminal 3. It is calculated based on the signal strength between.

Then, the first calculation unit 113 calculates the travel distance in the unit time of the employee carrying the terminal 3 by using the trigonometric function.

In the example shown in FIG. 4, the moving distance L is calculated based on the following (Equation 1). Here, (x _A1 , y _A1 ) indicates the coordinates at the point A1 before the movement of the terminal 3, and (x _A2 , y _A2 ) indicates the coordinates at the point A2 after the movement of the terminal 3.

FIG. 5 is a diagram showing the shape of the distribution map output by the information processing apparatus 1 shown in FIG.

In the coordinate plane shown in FIG. 5, the horizontal axis indicates the in-house stay time [h], and the vertical axis indicates the average speed [m / h]. The coordinate plane shown in FIG. 5 is divided into four regions R1 to R4 based on the threshold value of the in-house stay time set by the first setting unit 111 and the threshold value of the in-house movement speed set by the second setting unit 112. Will be done.

Area R1 is classified into the behavior patterns of employees who have many business trips and actively move around in the company. Area R2 classifies the behavior patterns of employees who spend a long time in the company and actively move around in the company. Area R3 is classified into the behavior patterns of employees who travel a lot and do not move much in the company. Area R4 classifies the behavior patterns of employees who spend a long time in the company and do not move much in the company.

FIG. 6 (1) is a diagram illustrating the movement speed aggregation table 102 in the information processing apparatus 1 shown in FIG.

In the movement speed summary table 102, the average movement speed [m / h] for each time zone for each employee is registered as a history. In the movement speed summary table 102, the time zone in which the number is registered indicates that the corresponding employee is staying in the company, and the time zone in which the number is not registered indicates that the corresponding employee is out. Is shown. In the example shown in (1) of FIG. 6, the average moving speed for each hour from 8:00 to 19:00 is registered for employees # 1 to # 6.

For example, employee # 1 stays in the office all day from 8:00 to 19:00, and the average moving speed between 8:00 and 9:00 is 20 [m / h], and from 9:00 to 10:00. The average moving speed during is 11 [m / h]. Also, for example, employee # 3 stays in the company from 8:00 to 12:00, but goes out after 12:00.

FIG. 6 (2) is a diagram illustrating the behavior pattern aggregation table 103 in the information processing apparatus 1 shown in FIG.

In the action pattern summary table 103, the average speed [m / h], the total travel distance [m], the staying time [h], and the action pattern in the company for one day are registered for each employee. The behavior pattern summary table 103 illustrated in (2) of FIG. 6 is created based on the average movement speed for each time zone for each employee shown in (1) of FIG. The behavior pattern is determined based on the threshold value of the in-house stay time and the threshold value of the average speed, as described above with reference to FIG.

For example, for employee # 1, the average speed is 20.9 [m / h], the total travel distance is 230 [m], the staying time is 11 [h], and the behavior pattern is the in-house staying time. It is a type that is long and does not move much in the company. For example, for employee # 3, the average speed is 171.0 [m / h], the total travel distance is 684 [m], the staying time is 4 [h], and the behavior pattern is a business trip. Many are the types that move around actively within the company.

FIG. 7 is a diagram illustrating a distribution map output by the information processing apparatus 1 shown in FIG. 2.

FIG. 7 exemplifies the relationship between the staying time [h] and the average speed [m / h] for employees # 1 to # 6 shown in FIG. 6 (2).

In the example shown in FIG. 7, employees # 3 and # 4 are located in the area R1, employee # 2 is located in the area R2, employee # 5 is located in the area R3, and employee # 1 is located in the area R4. And # 6 are located. In the illustrated example, the threshold value of the in-house stay time is set to 6 [h], and the threshold value of the average speed is set to 160 [m / h].

The output processing unit 115 creates a distribution map illustrated in FIG. 7, and displays it on, for example, a display device 130.

FIG. 8 is a diagram illustrating a line graph output by the information processing apparatus 1 shown in FIG. 2.

The line graph shown in FIG. 8 shows the average speed [m / h] for each time zone for the employee # 6 shown in FIG. 6 (1). In the example shown in FIG. 8, for example, the average speed is higher between 9 o'clock and 10 o'clock than between 8 o'clock and 9 o'clock, and the average speed between 10 o'clock and 11 o'clock is higher than that between 9 o'clock and 10 o'clock. The speed is getting smaller. It also indicates that employee # 6 is out of the office between 12:00 and 13:00, which is not connected by a solid line.

The output processing unit 115 creates a line graph illustrated in FIG. 8 and displays it on, for example, a display device 130.

[A-2] Operation Example The processing in the information processing apparatus 1 shown in FIG. 2 will be described according to the flowchart (steps S1 to S6) shown in FIG.

The first calculation unit 113 acquires the coordinates of the current location of the terminal 3 (step S1).

The first calculation unit 113 compares the acquired coordinates of the current location of the terminal 3 with the previous coordinates, and calculates the moving distance of the terminal 3 (step S2). The calculated travel distance is stored in the DB 140. If the previous coordinates of the terminal 3 have not been acquired, the process of step S2 may be skipped.

The first calculation unit 113 determines whether to end the measurement of the moving distance of the terminal 3 for reasons such as the closing time (step S3).

If the measurement is not completed (see No route in step S3), the first calculation unit 113 waits for processing until the next acquisition timing of the coordinates of the current location (step S4). Then, the process returns to step S1.

On the other hand, when the measurement is completed (see Yes route in step S3), the second calculation unit 114 calculates the movement speed for each time zone based on the in-house stay time and the movement distance of each employee (step). S5). The calculation of the moving speed may be executed in parallel for each employee, or may be executed sequentially for each employee.

The output processing unit 115 outputs a distribution map showing the relationship between the in-house stay time of each employee and the calculated movement speed (step S6). Then, the process ends. The output processing unit 115 may apply the threshold value of the in-house stay time and the threshold value of the in-house movement speed set by the first setting unit 111 and the second setting unit 112 to the output distribution map. Further, the output processing unit 115 may output a line graph showing changes in the moving speed for each time zone for at least one employee.

[A-3] Effect According to the information processing apparatus 1 in the above-mentioned example of the embodiment, for example, the following effects can be exhibited.

The first calculation unit 113 calculates the movement distance of each of the plurality of terminals 3 per unit time. The second calculation unit 114 averages each of the plurality of terminals 3 based on the travel distance calculated by the first calculation unit 113 and the communicable time indicating the time during which communication with each of the plurality of terminals 3 is possible. Calculate the speed. The output processing unit 115 outputs a distribution showing the relationship between the communicable time and the calculated average speed for each of the plurality of terminals 3.

This makes it possible to accurately grasp the behavior pattern of a person. Specifically, it is possible to accurately grasp the type of work style of each employee. For example, it is possible to grasp the position of the target employee with respect to the type of work style that the company aims at. In addition, since the difference between the target employee and other employees can be handled as numerical information, it is possible to confirm what kind of work style employees are in the company, and while promoting work style reform. You can see what kind of changes have occurred.

The first setting unit 111 sets a first threshold value regarding the communicable time. The second setting unit 112 sets a second threshold value regarding the average speed. The output processing unit 115 classifies each of the plurality of terminals 3 into one of the plurality of groups by applying the first threshold value and the second threshold value to the distribution.

This makes it possible to accurately classify human behavior patterns. Specifically, the type of work style of each employee can be accurately classified.

The second calculation unit 114 calculates the average speed for each time zone.

This makes it possible to know the average speed for each time zone.

The output processing unit 115 outputs a change in the average speed for each time zone for at least one of the plurality of terminals 3.

This makes it possible to easily grasp the change in the average speed for each time zone.

[B] Others The disclosed techniques are not limited to the above-described embodiments, and can be variously modified and implemented without departing from the spirit of the present embodiment. Each configuration and each process of the present embodiment can be selected as necessary, or may be combined as appropriate.

In one example of the above-described embodiment, the behavior patterns of employees in a company are aggregated and output as a work style pattern. However, it is not limited to this.

The information processing device 1 may, for example, aggregate the behavior patterns of students in a school or a cram school and output the aggregated behavior patterns. Further, the information processing apparatus 1 may, for example, aggregate the behavior patterns of athletes on the ground and output the aggregated behavior patterns.

[C] Additional Notes The following additional notes will be further disclosed with respect to the above embodiments and modifications.

(Appendix 1)
On the computer
Calculate the travel distance of each of multiple terminals per unit time,
Based on the calculated travel distance and the communicable time indicating the time during which communication with each of the plurality of terminals is possible, the average speed of each of the plurality of terminals is calculated.
For each of the plurality of terminals, a distribution showing the relationship between the communicable time and the calculated average speed is output.
A program that executes processing.

(Appendix 2)
A first threshold value for the communicable time is set, and the communication time is set.
A second threshold for the average speed is set and
By applying the first threshold and the second threshold to the distribution, each of the plurality of terminals is classified into one of a plurality of groups.
The program according to Appendix 1, which causes the computer to execute the process.

(Appendix 3)
The average speed is calculated for each time zone.
The program according to Appendix 1 or 2, which causes the computer to execute the process.

(Appendix 4)
For at least one of the plurality of terminals, the change in the average speed for each time zone is output.
The program according to Appendix 3, which causes the computer to execute the process.

(Appendix 5)
The first calculation unit that calculates the movement distance of each of a plurality of terminals per unit time,
A second calculation of the average speed of each of the plurality of terminals based on the travel distance calculated by the first calculation unit and the communicable time indicating the time during which communication with each of the plurality of terminals is possible. Calculation unit and
An output processing unit that outputs a distribution showing the relationship between the communicable time and the calculated average speed for each of the plurality of terminals.
An information processing device.

(Appendix 6)
A first setting unit that sets a first threshold value for the communicable time, and
A second setting unit that sets a second threshold value for the average speed, and
Further prepare
The output processing unit classifies each of the plurality of terminals into one of a plurality of groups by applying the first threshold value and the second threshold value to the distribution.
The information processing apparatus according to Appendix 5.

(Appendix 7)
The second calculation unit calculates the average speed for each time zone.
The information processing apparatus according to Appendix 5 or 6.

(Appendix 8)
The output processing unit outputs a change in the average speed for each of the time zones for at least one of the plurality of terminals.
The information processing apparatus according to Appendix 7.

(Appendix 9)
Calculate the travel distance of each of multiple terminals per unit time,
Based on the calculated travel distance and the communicable time indicating the time during which communication with each of the plurality of terminals is possible, the average speed of each of the plurality of terminals is calculated.
For each of the plurality of terminals, a distribution showing the relationship between the communicable time and the calculated average speed is output.
Information processing method.

(Appendix 10)
A first threshold value for the communicable time is set, and the communication time is set.
A second threshold for the average speed is set and
By applying the first threshold and the second threshold to the distribution, each of the plurality of terminals is classified into one of a plurality of groups.
The information processing method according to Appendix 9.

(Appendix 11)
The average speed is calculated for each time zone.
The information processing method according to Appendix 9 or 10.

(Appendix 12)
For at least one of the plurality of terminals, the change in the average speed for each time zone is output.
The information processing method according to Appendix 11.

100: Information processing system 1: Information processing device 11: CPU
111: First setting unit 112: Second setting unit 113: First calculation unit 114: Second calculation unit 115: Output processing unit 12: Memory 13: Display control unit 130: Display device 14: Storage device 140: DB
15: Input I / F
151: Mouse 152: Keyboard 16: Read / write processing unit 160: Recording medium 17: Communication I / F
101: Floor map 102: Movement speed summary table 103: Behavior pattern summary table 2: Access point 3: Terminal 31: Mobile phone 32: Beacon

Claims (6)

To a computer connected to each of multiple terminals via multiple relay devices,
By measuring the coordinates displacement specified by the radio wave strength between each of the plurality of terminals and the plurality of relay devices, per unit time, it calculates the respective moving distances of said plurality of terminals,
The calculated travel distance is divided by the communicable time indicating the communicable time between the computer and each of the plurality of terminals via at least one of the plurality of relay devices . Calculate the average speed for each terminal
For each of the plurality of terminals, a distribution showing the relationship between the communicable time and the calculated average speed is output.
A program that executes processing. A first threshold value for the communicable time is set, and the communication time is set.
A second threshold for the average speed is set and
By applying the first threshold and the second threshold to the distribution, each of the plurality of terminals is classified into one of a plurality of groups.
The program according to claim 1, wherein the computer executes the process. The average speed is calculated for each time zone.
The program according to claim 1 or 2, which causes the computer to execute the process. For at least one of the plurality of terminals, the change in the average speed for each time zone is output.
The program according to claim 3, wherein the computer executes the process. An information processing device connected to each of a plurality of terminals via a plurality of relay devices.
By measuring the coordinates displacement specified by the radio wave strength between each of the plurality of terminals and the plurality of relay devices, per unit time, a first calculation for calculating the respective moving distance of said plurality of terminals Department and
The moving distance calculated by the first calculation unit, by the plurality of relay the information processing apparatus and the plurality of respective communication can communicate time of indicating the time available for the terminal at least through one of the devices A second calculation unit that calculates the average speed of each of the plurality of terminals by dividing,
An output processing unit that outputs a distribution showing the relationship between the communicable time and the calculated average speed for each of the plurality of terminals.
An information processing device. A computer connected to each of multiple terminals via multiple relay devices,
By measuring the coordinates displacement specified by the radio wave strength between each of the plurality of terminals and the plurality of relay devices, per unit time, it calculates the respective moving distances of said plurality of terminals,
The calculated travel distance is divided by the communicable time indicating the communicable time between the computer and each of the plurality of terminals via at least one of the plurality of relay devices . Calculate the average speed for each terminal
For each of the plurality of terminals, a distribution showing the relationship between the communicable time and the calculated average speed is output.
An information processing method that executes processing.

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