JP2022055255A - Production control system and production control method - Google Patents

Abstract

To provide a production control system capable of easily recognizing a worker while suppressing a decrease in work efficiency in a manufacturing process, and a production control method.SOLUTION: A production control system 1 includes: a manufacturing device 300 that manufactures a product; a measuring device 200 that is placed on a floor surface of a work area of a worker who operates the manufacturing device 300 for measuring the sole pressure distribution of the worker; and a control device 100 that is configured so as to, when detecting an execution opportunity for the worker to execute a predetermined operation on the manufacturing device 300, certificate the sole pressure using the sole pressure distribution of the worker measured by the measuring device 200, and when the sole pressure certification is successful, control the manufacturing device 300 get into an operable state for a predetermined operation.SELECTED DRAWING: Figure 3

Description

The present invention relates to a production control system and a production control method.

In recent years, in factories that manufacture products such as foods and machines, the introduction of a system for certifying workers who perform manufacturing work is progressing. By identifying the worker by certification, it becomes clear who manufactured the product, and traceability in the manufacturing of the product becomes possible. In addition, certification may be used in the manufacturing process to prevent a person who does not have the manufacturing authority from performing the manufacturing process by mistake or malicious intent.

The production control system using certification is described in the following documents.

JP-A-2015-215793

However, for example, when fingerprint authentication is used, the operator needs to touch the touch panel or the like with a finger. In the manufacturing process, the worker may wear gloves for safety, for example, or something may be attached to the hand due to the work. In this case, the worker needs to remove gloves and wash his / her hands in order to perform fingerprint authentication, which takes time for authentication. In addition, it may be difficult to perform fingerprint authentication itself, such as when it is dangerous to remove gloves at the work site or when the deposit is a special chemical. In either case, the work efficiency in manufacturing is reduced.

Also, when using appearance authentication such as face authentication or iris authentication, if the amount of light in the work area is insufficient, authentication cannot be performed correctly, and it takes time for the authentication to succeed, such as when the worker re-authenticates. There is.

Therefore, one disclosure provides a production control system and a production control method that can easily recognize an operator and suppress a decrease in work efficiency in a manufacturing process.

According to one embodiment of the present invention, a measurement is installed on the floor surface of a manufacturing unit that manufactures a product and a working range of a worker who operates the manufacturing unit, and measures the foot pressure distribution of the worker. When the operator detects the execution opportunity to execute a predetermined operation for the unit and the manufacturing unit, the foot pressure authentication is performed using the foot pressure distribution of the operator measured by the measuring unit, and the foot pressure authentication is performed. When the sole pressure authentication is successful, the manufacturing unit has a control unit that puts the manufacturing unit into a feasible state in which the predetermined operation can be performed.

According to one embodiment of the present invention, the worker can be easily recognized and the decrease in work efficiency in the manufacturing process can be suppressed.

FIG. 1 is a diagram showing a configuration example of the production control system 1. FIG. 2 is a diagram showing an example of a software configuration of the production control system 1. FIG. 3 is a diagram showing an example of the hardware configuration of the production control system 1. FIG. 4 is a diagram showing an example of processing in the registration phase and the manufacturing phase. FIG. 5 is a diagram showing an example of a processing flowchart of the registration process S30. FIG. 6 is a diagram showing an example of a processing flowchart of the power-on processing S40. FIG. 7 is a diagram showing an example of a processing flowchart of the foot sole pressure authentication processing S50. FIG. 8 is a diagram showing an example of a processing flowchart of the specific operation processing S60. FIG. 9 is a diagram showing an example of a processing flowchart of the periodic authentication processing S70. FIG. 10 is a diagram illustrating an example of measurement data in sole pressure authentication. FIG. 11 is a diagram showing an example of the maximum value data 120 configuration in the sole pressure authentication. FIG. 12 is a diagram showing an example of the configuration of the reference data 121 in the sole pressure authentication. FIG. 13 is a diagram showing an example of the configuration of the authentication data 122 in the sole pressure authentication. FIG. 14 is a diagram showing an example of the configuration of the determination data 123 in the sole pressure authentication. FIG. 15 is a diagram showing an example of the configuration of the determination data 123 in the sole pressure authentication. FIG. 16 is a diagram showing an example of a processing flowchart in foot sole pressure authentication.

[First Embodiment]
The first embodiment will be described.

<Configuration example of production control system 1>
FIG. 1 is a diagram showing a configuration example of the production control system 1. The production control system 1 includes a control device 100, a measuring device 200, and a manufacturing device 300. The production control system 1 is a system that controls manufacturing (production) by a worker and stores the work contents in the manufacturing process and the identification of the worker as a log. The worker of the production control system 1 is certified by using the sole pressure certification at the start of the manufacturing process or in the work performed in the middle of the manufacturing process. In addition, the worker may be authenticated at any time. In the production control system 1, only workers who are authorized to work (have work authority) perform the manufacturing process to improve the quality and security of the product.

The control device 100 is a device that controls the manufacturing device 300 and the measuring device 200. The control device 100 has a touch panel 101 and a workbench 102.

The touch panel 101 is operated by, for example, an operator. For example, the operator operates the touch panel 101 and inputs information to the control device 100 as needed. Further, the touch panel 101 displays information and buttons. The touch panel 101 displays, for example, a button for turning on the power of the manufacturing apparatus 300, a button for starting a specific operation, an authentication result, and the like. The manufacturing device 300 and the touch panel 101 do not have to be on the same surface side of the control device 100, and can be arranged as needed.

The workbench 102 is a table for installing the manufacturing apparatus 300, tools used in the manufacturing process, and products to be manufactured. For example, in a factory that manufactures products, a plurality of production control systems 1 may be installed. In this case, the workbench 102 of each production control system 1 may be connected, the workbench 102 may be configured by a belt conveyor, and the product being manufactured or the material of the product may flow.

The measuring device 200 is a device used for foot sole pressure authentication to measure the foot sole pressure distribution of an operator. The measuring device 200 can be wirelessly or wiredly connected to the control device 100 and communicate with the control device 100. The measuring device 200 is installed at a place where the worker can measure the foot pressure distribution of the worker while performing the work in the manufacturing process, for example, on the floor surface of the worker's standing position when operating the manufacturing device 300. In FIG. 1, since the manufacturing apparatus 300 is on the workbench 102, it is installed on the floor surface in front of the control apparatus 100. The measuring device 200 performs measurement in response to a request from the control device 100, and transmits the measurement result to the control device 100, for example. Further, the measuring device 200 may perform measurement periodically and transmit the measurement result to the control device 100. The worker who performs the manufacturing process can perform the manufacturing process while being mounted on the measuring device 200, and the measuring device 200 further distributes the foot sole pressure of the worker while the worker is performing the manufacturing process. Can be measured. Further, the measuring device 200 may be integrated with the control device 100 and may be a part of the control device 100, for example, and the position of the working range including the standing position and the walking range when the operator performs the manufacturing process. It suffices if it is installed in.

The manufacturing apparatus 300 is an apparatus or machine used for manufacturing a product in a manufacturing process. The manufacturing apparatus 300 is, for example, an electric appliance that can be moved by energizing (powering on), a robot arm for assembling (or assisting) the product, a soldering iron used for connecting parts and materials, and a screwdriver for the product. Includes electric screwdrivers to stop, or drills to drill holes in products. By being controlled by the control device 100, the manufacturing apparatus 300 is in a state of being energized (energized state) or in a state in which a specific operation can be performed (movable state). The energized state and the movable state are states in which the operator can execute the operation, and may be referred to as an executable state.

Further, when the product is food, the manufacturing apparatus 300 may be, for example, an injection device for injecting a specific chemical or seasoning into the food, a heating device for heating the food, or the like.

In the production control system 1, the worker is authenticated by using the sole pressure authentication, so that the operator can perform the manufacturing work while riding on the measuring device 200 and authenticate the worker without performing any special operation. It can be carried out. As a result, the worker can reduce the work load in the certification and suppress the decrease in the work efficiency in the manufacturing process.

In addition, the sole pressure distribution can be measured at a timing that the operator is not aware of. Therefore, it is possible to secretly authenticate the worker without notifying the worker of the measurement timing, which prevents the worker from being replaced with another worker or leaving the work place without permission. can.

<Software configuration example of production control system>
FIG. 2 is a diagram showing an example of a software configuration of the production control system 1. The production control system 1 has a registration unit 10, a production unit 20, and a sole pressure authentication unit 30.

The registration unit 10 registers data (comparison source data) for identifying an individual used for foot sole pressure authentication (S100). The registration unit 10 measures the sole pressure distribution of an individual, associates the measurement result with the identifier of the individual, and registers the measurement result in the registration information table T10.

Further, the registration unit 10 has an individual sole pressure measuring unit 11. The individual sole pressure measuring unit 11 measures the sole pressure distribution of the worker (individual).

The production unit 20 controls the manufacturing process. The production unit 20 controls the state (movable state, energized state) of the manufacturing apparatus 300. Further, the production unit 20 collects the operation history (production log) of the worker in the manufacturing process.

Further, the production unit 20 has a production control unit 21. The manufacturing control unit 21 controls the power supply of the manufacturing apparatus 300 to put the manufacturing apparatus 300 in an energized state or a non-energized state (stopped state), or to make the manufacturing apparatus 300 an operable movable state.

Further, the production unit 20 has a production log management unit 22. The production log management unit 22 collects and stores the production log L20 (S101). In the production log L20, for example, an authentication result, an identifier of a worker, an operation history, an identifier of a manufactured product, an operation time, and the like are stored in association with each other.

The sole pressure certification unit 30 certifies the worker who performs the manufacturing process by using the sole pressure certification. The sole pressure certification is based on the result of comparing the comparison source data in which the distribution of pressure applied to the sole of an individual's foot (sole pressure distribution) is measured in advance with the sole pressure distribution measured at the time of authentication execution. , An authentication process that identifies an individual. Details of foot pressure certification will be described later.

Further, the sole pressure authentication unit 30 has a sole pressure measuring unit 31. The sole pressure measuring unit 31 measures the sole pressure distribution of the worker in the manufacturing process and outputs the measurement result D30 (S102).

Further, the sole pressure authentication unit 30 has a personal authentication unit 32. The personal authentication unit 32 uses the sole pressure authentication to identify a worker who is performing a manufacturing process (trying to perform a specific operation). The personal authentication unit 32 acquires the registration information table T10 (S104), compares it with the measurement result D30 (S103), detects an individual matching the measurement result D30 from the registration information table T10, and sets the detected individual as a worker. It is specified and output as the authentication result R30 (S105). The certification result R30 is handed over to the manufacturing control unit 21 and the production log management unit 22 of the production unit 20 (S106). The manufacturing control unit 21 controls the manufacturing apparatus 300 according to, for example, the certification result of the manufacturing apparatus 300. Further, the production log management unit 22 generates the production log L20 by using, for example, the identifier of the worker included in the authentication result R30.

The registration information table T10 and the production log L20 may be managed (stored) in a device other than the control device 100 (for example, a management server). The production control system 1 transmits and receives the registration information table T10 and the production log L20 to and from the management server, for example, as needed.

Further, each part may be constructed by, for example, any device. Further, the individual sole pressure measuring unit 11 and the sole pressure measuring unit 31 may be the same.

<Hardware configuration example of production control system 1>
FIG. 3 is a diagram showing a hardware configuration example of the production control system 1. The production control system 1 includes a control device 100, a measuring device 200, and a manufacturing device 300.

The control device 100 includes a CPU (Central Processing Unit) 110, a storage 160, a memory 130, a communication circuit 140, and a touch panel 150.

The storage 160 is an auxiliary storage device such as a flash memory, an HDD (Hard Disk Drive), or an SSD (Solid State Drive) that stores programs and data. The storage 160 stores the sole pressure measurement program 161, the sole pressure certification program 162, the manufacturing control program 163, and the registration program 164.

The memory 130 is an area for loading a program stored in the storage 160. The memory 130 may also be used as an area for the program to store data.

The communication circuit 140 is a circuit that connects to a measuring device 200, a manufacturing device 300, or a management server (not shown) to perform communication.

The touch panel 150 is a device operated by an operator and displayed with information. The touch panel 150 corresponds to, for example, the touch panel 101 of the control device 100.

The CPU 110 is a processor that loads a program stored in the storage 160 into the memory 130, executes the loaded program, constructs each part, and executes each process.

The CPU 110 constructs an individual sole pressure measuring unit 11 and a sole pressure measuring unit 31 by executing the sole pressure measuring program 161 and performs the sole pressure measuring process. The sole pressure measuring process is a process of measuring the sole pressure distribution of an operator mounted on the measuring device 200 by using, for example, the measuring device 200.

By executing the sole pressure authentication program 162, the CPU 110 constructs the personal authentication unit 32 and performs the sole pressure authentication process. The foot sole pressure authentication process is a process for performing foot sole pressure authentication to an operator on the measuring device 200.

By executing the manufacturing control program 163, the CPU 110 constructs the production unit 20, the production control unit 21, and the production log management unit 22, and performs the production control process. The manufacturing control process is a process of using the sole pressure authentication to authenticate the worker, control the manufacturing apparatus 300, and generate the production log L20.

The CPU 110 constructs the registration unit 10 and performs the registration process by executing the registration program 164. The registration process is a process of registering the sole pressure distribution (comparison source data) of the worker used for the sole pressure authentication in the registration information table T10.

The measuring device 200 is a device that measures the sole pressure distribution by the individual sole pressure measuring unit 11 and the sole pressure measuring unit 31. The measuring device 200 has, for example, a dedicated circuit for measuring the sole pressure distribution. Further, the measuring device 200 can be connected to, for example, the control device 100 and can perform communication.

The manufacturing apparatus 300 is an apparatus for manufacturing a product in the manufacturing process. The manufacturing apparatus 300 has a circuit and a mechanism for performing manufacturing. The manufacturing device 300 is connected to the control device 100, and the state (movable state, energized state, non-energized state, etc.) is controlled by the control device 100.

<Production control processing>
The production control system 1 performs production control that manages the manufacturing process. Production control has a registration phase and a manufacturing phase.

FIG. 4 is a diagram showing an example of processing in the registration phase and the manufacturing phase. The registration phase has a registration process S30. The registration process S30 is a process of measuring the foot pressure distribution of the worker and registering it in the registration information table T10.

The manufacturing phase includes a power-on process S40, a specific operation process S60, and a periodic authentication process S70. The manufacturing phase is a phase including from the start of the manufacturing process to the end of the manufacturing process (not shown).

The control device 100 or the operator starts the manufacturing process after the registration is completed. When the control device 100 detects that the power is turned on to the manufacturing device 300, the control device 100 executes the power on process S40. The power-on process S40 is a process for confirming whether or not the worker has the authority to turn on the power based on the authentication result for the worker and the security level of the worker.

When the control device 100 detects a specific operation after the power is turned on, the control device 100 executes the specific operation process S60. The specific operation process S60 is a process for confirming whether or not the worker has the authority to perform the specific operation based on the authentication result for the worker and the security level of the worker.

Further, the control device 100 executes the periodic authentication process S70 after a predetermined time has elapsed after the power is turned on. The specific operation process S60 is a process for periodically executing authentication for a worker.

After that, the control device 100 repeats the specific operation process S60 and the periodic authentication process S70 until the manufacturing phase is completed. Hereinafter, the processing contents will be described for each phase.

<1. Registration phase>
The registration phase is a phase in which comparison source data for performing sole pressure authentication is acquired and registered. FIG. 5 is a diagram showing an example of a processing flowchart of the registration process S30.

The control device 100 measures the sole pressure distribution of the worker in the registration process S30 (S30-1). The control device 100 acquires, for example, the sole pressure distribution of the worker measured by the measuring device 200.

The control device 100 associates the measurement result with the identifier of the worker, registers the measurement result in the registration information table T10 (S30-2, S100 in FIG. 2), and ends the process. The worker identifier includes, for example, the employee number of the company that employs the worker, and the worker's name and attributes (address, gender, etc.). The worker's identifier can be obtained, for example, by reading a medium (such as an employee ID card) containing the worker's identifier or inputting by the worker before measuring the sole pressure distribution.

The registration information table T10 may be managed by a device other than the control device 100, such as a management server. In this case, the control device 100 executes the process S30-2 with respect to the device that manages the registration information table T10.

<2. Manufacturing phase>
The manufacturing phase is a phase in which a worker executes a manufacturing process. In the manufacturing phase, the worker is certified by sole pressure certification.

The power-on is an example of the specific operation shown below, but the other specific operation is an operation executed when the manufacturing apparatus 300 is energized, whereas the power-on is an operation when the manufacturing apparatus 300 is not energized. The operation to be performed. Therefore, when authentication is NG or when the user does not have the authority for the specific operation depending on the security level, the processing content differs between the power-on and other specific operations. Therefore, each of the power-on process S40 and the specific operation process S60, which is a process of a specific operation other than the power-on, will be described.

<2.1 Power-on processing>
The power-on process S40 is a process in which a worker turns on the power to the manufacturing apparatus when the manufacturing process is started. The power-on process S40 is executed when, for example, the operator presses the power button of the manufacturing apparatus 300 or touches the button for turning on the power displayed on the touch panel 101.

FIG. 6 is a diagram showing an example of a processing flowchart of the power-on processing S40. The control device 100 executes the sole pressure authentication process (S50).

FIG. 7 is a diagram showing an example of a processing flowchart of the foot sole pressure authentication processing S50. The control device 100 measures the sole pressure authentication distribution of the worker (the person who turned on the power) (S50-1) and generates the measurement result (S102 in FIG. 2). For example, the control device 100 acquires the foot sole pressure distribution of the worker measured by the measuring device 200 from the measuring device 200.

The control device 100 acquires the registration information table T10 (S50-2). The registration information table T10 may be managed by the control device 100 by storing it in the internal memory, or may be managed by another device (management server).

The control device 100 acquires the registration information table T10 (S104 in FIG. 2), compares the measurement result of the sole pressure distribution of the worker with the registration information table T10 (S103 in FIG. 2), and the characteristics of the distribution match. Search for an individual (S50-3) and obtain an authentication result (S105 in FIG. 2).

If the matching individual can be searched, the control device 100 determines that the search was successful (Yes in S50-4), acquires the identifier of the matching worker (S50-5), and determines that the authentication is successful. Judgment (S50-6) is made, and the process is terminated.

On the other hand, if the matching individual cannot be searched, the control device 100 determines that the search has failed (No of S50-4), determines that the authentication has failed (S50-7), and ends the process. ..

The foot sole pressure authentication process S50 outputs the result of the authentication and the identifier of the worker when the authentication is successful at the end of the process.

Returning to the processing flowchart of FIG. 6, when the foot sole pressure authentication is successful (Yes in S40-1), the control device 100 confirms whether or not the worker has the authority to turn on the power (S40-2). .. The control device 100 determines whether or not the worker has the authority to turn on the power based on the identifier of the worker who has succeeded in foot pressure authentication (S40-2).

Each worker has a security level set. The security level is a level of authority as to whether or not a worker can perform some operation or work. The authority is not limited to the operation authority for the manufacturing apparatus 300 such as turning on the power of the manufacturing apparatus 300 as shown in the processing flowchart of FIG. 6, for example, changing the manufacturing conditions and various parameters in the manufacturing apparatus 300, and changing the authority of the operator. , Output and modification of production log L20 and the like. The security level is managed by, for example, a management server. In the process S40-2, the control device 100 transmits, for example, the operation content (in this case, turning on the power to the manufacturing device) for which the existence of the authority is to be confirmed to the management server, and the identifier of the worker, and inquires about the existence of the authority. Then, confirm the operation authority of the worker. Further, the security level may be associated with, for example, the identifier of the worker and stored in the registration information table T10.

When the operator has the authority to turn on the power of the control device 100 (Yes in S40-2), the control device 100 is turned on to the manufacturing apparatus 300 to be energized (S40-3), and the operator powers the power. The input is stored in the production log L20 (S40-4), and the process is terminated.

In the production log L20, for example, the identifier of the worker, the fact that the power of the manufacturing apparatus 300 is turned on, the power on time, and the like are recorded. Further, when there are a plurality of manufacturing devices 300, the identifier of the manufacturing device 300 may also be recorded.

Further, the production log L20 may be managed (stored) by the control device 100 or may be managed by the management server. The production log L20 records the history of various operations other than turning on the power of the manufacturing apparatus 300. Therefore, for example, the production log L20 is managed by the control device 100 from the power-on to the stop of the manufacturing device 300, transmitted to the management server at the timing when the manufacturing device 300 is stopped, and then managed by the management server. You may.

On the other hand, the control device 100 displays a warning screen (S40) when the authentication fails (No in S40-1) and when the worker does not have the authority to turn on the power (No in S40-2). -5), end the process. The warning screen is, for example, a screen for making the worker aware that the authentication has failed or that he / she does not have the authority. The warning screen is displayed on the touch panel 101, for example. By displaying the warning screen, the operator can recognize why the manufacturing apparatus 300 is not energized.

<2.2 Specific operation processing>
The specific operation process S60 is a process executed when the worker detects a specific operation execution trigger in which the worker is trying to execute the specific operation in the manufacturing apparatus 300 in the power-on state. The manufacturing apparatus 300 has, for example, a plurality of operations. The operator has a certain authority (operation that can be executed) according to the security level.

Specific operations include, for example, initiating the production of the next (new) product. For example, new products are carried by a belt conveyor installed on the workbench 102, or when a worker sets the material or base of the product on the workbench 102, the production is started. Ru. In this case, a new product (the product to be manufactured next) is carried onto the workbench 102, materials and the like are set, which is an opportunity to start manufacturing the new product.

FIG. 8 is a diagram showing an example of a processing flowchart of the specific operation processing S60. The control device 100 waits for the specific operation to be detected (No of S60-1). The control device 100 detects a specific operation because, for example, a button on the manufacturing device 300 is pressed, or a button displayed on the touch panel 101 indicating that a specific operation is to be performed is touched. do.

When the control device 100 detects a specific operation (Yes in S60-1), the control device 100 executes the sole pressure authentication process S50.

When the control device 100 succeeds in foot pressure authentication (Yes in S60-2), the control device 100 confirms whether or not the worker has the authority for a specific operation (S60-3). The control device 100 determines whether or not the worker has the authority for a specific operation based on the identifier of the worker who has succeeded in foot pressure authentication (S60-3).

When the operator has the authority for the specific operation (Yes in S60-3), the control device 100 makes the manufacturing apparatus 300 in a state where the specific operation is possible (S60-4), and the operator makes the specific operation. Is stored in the production log L20 (S60-5), and the detection of the specific operation is awaited again (S60-1).

In the production log L20, for example, the identifier of the worker, the fact that the specific operation has been performed, the operation time (start time, time during operation), and the like are recorded. When a plurality of specific operations exist, the production log L20 stores specific operation contents.

When the specific operation is to manufacture the next product, the production log L20 stores the identifier of the next product (serial number, product number, etc.) and the identifier of the worker in association with each other. As a result, it becomes clear which product was manufactured by which worker, and when a defect occurs in the product, a follow-up survey of the product becomes possible.

On the other hand, when the authentication fails (No in S60-2), the control device 100 displays a warning screen (S60-6), stops the manufacturing device 300 (eliminates the energized state) (S60-7), and processes. To finish.

On the other hand, when the operator does not have the authority for the specific operation (No in S60-3), the control device 100 displays a warning screen (S60-8) and waits for the detection of the specific operation again (S60). -1).

In the specific operation process S60, the subsequent processes are different depending on whether the authentication fails (No in S60-2) and the case where the worker does not have the authority for the specific operation (No in S60-3). When the worker does not have the authority for a specific operation (No in S60-3), a human error such as an error in pressing the button of the operator or an operation error is assumed. On the other hand, if the authentication fails (No in S60-2), there is a possibility that a third party without operation authority is performing the manufacturing operation. Therefore, in the case of authentication failure, the manufacturing apparatus 300 is stopped so that all the manufacturing processes are not performed (S60-7). The authentication failure may be caused by a measurement error or error in the sole pressure distribution. In this case, the operator can perform the specific operation by executing the power-on process S40 again.

<2.3 Periodic authentication process>
The periodic authentication process S70 is a process for periodically executing the sole pressure authentication process S50 in addition to the foot sole pressure authentication process S50 in the power-on process S40 and the specific operation process S60. The periodic authentication process S70 is executed only when, for example, the manufacturing apparatus 300 is energized.

The specific operation may be executed infrequently depending on the operation content. When the execution frequency of the specific operation is low, the frequency of executing the specific operation process S60 is low, and the frequency of executing the sole pressure authentication process S50 is also low. If the foot sole pressure authentication process S50 is executed infrequently, for example, even if a malicious worker replaces a third party, it takes time to detect it. Therefore, by executing the periodic authentication process S70, the worker is periodically authenticated.

FIG. 8 is a diagram showing an example of a processing flowchart of the periodic authentication processing S70. The control device 100 waits for a predetermined time to elapse (No of S70-1).

When the control device 100 detects that the predetermined time has elapsed (Yes in S70-1), the control device 100 executes the sole pressure authentication process S50.

When the control device 100 succeeds in foot pressure authentication (Yes in S70-2), the control device 100 waits for the detection of the specific operation again (S70-1).

On the other hand, when the authentication fails (No in S70-2), the control device 100 displays a warning screen (S70-3), stops the manufacturing device 300 (eliminates the energized state) (S70-4), and processes. To finish.

<About foot pressure certification>
The sole pressure certification will be described below. The sole pressure certification described below is an example of the certification method used in the production control system 1. The registrant in the following corresponds to the worker whose sole pressure distribution is registered in the registration information table T10 in the registration process S30. In addition, the subjects and subjects in the following correspond to workers in the manufacturing process.

The measuring device 200 measures the distribution of foot pressure. The foot pressure here is information obtained by converting the load applied from the sole of a person's foot to the floor surface into a load (pressure) per unit area. The distribution of foot pressure (sole pressure distribution) is information in which the position coordinates of the sole of the foot and the pressure acting from that position are associated with each other. In the following description, information indicating the distribution of foot pressure may be referred to as "measurement data".

The control device 100 is a computer device that performs individual authentication. The individual authentication here means whether or not the person registered in advance (hereinafter, also referred to as a registrant) and the person to be authenticated (hereinafter, also referred to as a target person) match using the measurement data. Is to judge.

The control device 100 performs individual authentication using data selected from the measurement data according to a predetermined selection condition (maximum value data 120 described later). By performing individual authentication using the selected data, it is possible to reduce the amount of data handled in the processing related to authentication and reduce the calculation load. However, selecting data from the measurement data reduces the amount of information that can be used for authentication. Therefore, depending on the selection method, the accuracy of authentication may deteriorate as compared with the method of performing individual authentication using all of the measured data.

As a countermeasure, select measurement data so that the accuracy of individual authentication does not deteriorate. Specifically, the control device 100 determines an axis (hereinafter referred to as a main axis) that can capture the distribution of foot pressure in the measurement data. The main axis is the axis in the direction substantially parallel to the foot pressure group, which well represents the distribution of the foot pressure among the individual foot pressures constituting the measurement data. This is because when selecting one foot pressure from the foot pressure group distributed in the direction orthogonal to the main axis along the main axis, it is possible to select the foot pressure that well represents the distribution situation. ..

The direction of the main axis is, for example, the foot length direction. The foot length direction is the direction from the heel to the toes (Y-axis direction in FIG. 9). Generally, the shape of the sole of the foot is the longest in the length direction of the foot. In addition, a person generally walks along the length of the foot, and does not walk in the width of the foot unless there are special circumstances. Therefore, it is presumed that a relatively large load is applied to the sole of the foot in the direction along the length of the foot. The foot pressure group distributed along the foot length direction well represents the tendency of the foot pressure distribution, for example, the tendency of the front center of gravity or the rear center of gravity, and is considered to show the tendency peculiar to the individual.

Based on such an estimation, the control device 100 determines the main axis in the foot pressure distribution from the state of the foot pressure distribution shown in the measurement data. Then, the control device 100 determines an axis (hereinafter, referred to as a sub-axis) orthogonal to the determined main axis. For example, when the direction of the main axis is the foot length direction, the direction of the sub-axis is the foot width direction (X-axis direction in FIG. 10).

The control device 100 selects the foot pressure according to a predetermined selection condition from the foot pressure group distributed in the sub-axis direction through the coordinate values on the main axis. The selection conditions may be arbitrarily determined. It is desirable that the selection condition is such that the foot pressure that well represents the distribution of the foot pressure along the main axis is selected. Here, the case where the selection condition is the maximum value will be described as an example. That is, the control device 100 selects the maximum value among the foot pressure groups distributed in the sub-axis direction through the coordinate values on the main axis. However, the selection condition is not limited to the condition in which the maximum value is selected.

For example, the selection condition may be a condition in which the minimum value is selected or a condition in which the mode value is selected.

The control device 100 passes through the coordinate values on the main axis in the foot pressure distribution and selects the maximum value among the foot pressure groups distributed in the subaxial direction, so that the state of the foot pressure distribution is well shown from the measurement data. It is possible to selectively obtain the existing foot pressure. That is, it is possible to obtain information peculiar to an individual indicated by the distribution of foot pressure. Therefore, it is possible to suppress the deterioration of the accuracy of individual authentication while reducing the amount of information of the measurement data.

Here, the control device 100 performs individual authentication through the following three processes (processes).

(1) Standard data generation process (2) Authentication data generation process (3) Authentication process (1) The standard data generation process is a process to generate standard data 121, and as a preparation before authentication, the registrant's foot This is a process of generating the tendency of pressure distribution as reference data 121. (2) The authentication data generation process is a process of generating authentication data 122, and is a process of generating the tendency of the distribution of foot pressure in the target person as authentication data 122, which is used when performing authentication. (3) The authentication process is a process for performing individual authentication, and is a process for determining whether or not the target person is the same person as the registrant by using the reference data 121 and the authentication data 122. The contents of the three processes will be described below in order.

(1) Reference data generation process The control device 100 acquires the measurement data of the registrant. The control device 100 determines the main axis in the distribution of foot pressure based on the acquired measurement data of the registrant. The control device 100 may determine the main axis by any method, but here, the direction of one axis used for the two-dimensional coordinates indicating the position coordinates of the sole shown in the measurement data is used as the main axis. A case will be described as an example. In this case, the registrant is guided (guided) to put his / her foot on the mat of the measuring device 200 so that the arrangement direction of the piezoelectric sensors provided in the measuring device 200 is parallel to the main axis.

The control device 100 selects data according to the selection condition from the measurement data of the registrant along the main axis. The control device 100 extracts a foot pressure group distributed in the subaxial direction through a certain point on the main axis. The control device 100 selects the maximum value among the foot pressure groups distributed in the subaxial direction. The control device 100 generates the maximum value data by associating the coordinate value of the main axis with the selected maximum value. The control device 100 acquires measurement data of the same registrant a plurality of times, and generates maximum value data for each of the acquired measurement data. The control device 100 stores the generated maximum value data as the maximum value data 120 (see FIG. 11).

The control device 100 uses the maximum value data 120 to generate reference data for the registrant. The reference data is information showing the tendency of the foot pressure distribution in the registrant, and is, for example, a statistic of a plurality of maximum value data 120 in the same registrant. The statistic may be any index, at least as long as it is obtained by statistical processing. The statistic is, for example, a value (representative value) representing each maximum value shown in the plurality of maximum value data 120. Specifically, the statistic may be a maximum value, a minimum value, a mode value, a simple summed mean value, a weighted mean value, a variance, a standard deviation, or a value calculated by combining these.

Here, a case where the average value and the standard deviation are calculated as statistics will be described as an example. In this case, the control device 100 uses the plurality of maximum value data 120 to calculate the average value and standard deviation of each value corresponding to the same coordinate value on the spindle in the maximum value data 120. The control device 100 generates reference data by associating each of the calculated mean value and the standard deviation with the coordinate values on the main axis. The control device 100 stores the generated reference data as the reference data 121 (see FIG. 12).

(2) Authentication data generation process The control device 100 acquires the measurement data of the target person. The control device 100 determines the main axis in the distribution of the foot pressure based on the acquired measurement data of the subject. The method for determining the spindle is the same as the method for determining the spindle described above.

The control device 100 selects data according to the selection condition from the measurement data of the target person along the main axis in the measurement data of the target person. The method of selecting the predetermined data from the measurement data of the subject is the same as the method of selecting the predetermined data from the measurement data of the registrant described above. The control device 100 generates authentication data by associating the selected data with the coordinate values on the spindle. The control device 100 stores the generated authentication data as the authentication data 122 (see FIG. 13).

(3) Authentication process The control device 100 performs individual authentication by comparing the reference data 121 and the authentication data 122 (hereinafter, also referred to as both data). The control device 100 determines whether or not the values of both data statistically match. Here, statistically matching means that the values of both data match, or the difference between the two data is within an acceptable range of variation (here, the standard deviation of the reference data 121).

For example, the control device 100 calculates the difference between the values of both data at a certain coordinate value on the spindle. When the calculated difference is within the range of the standard deviation shown in the reference data 121, the control device 100 determines that both data are statistically in agreement. On the other hand, when the calculated difference is outside the range of the standard deviation shown in the reference data 121, the control device 100 determines that the two data do not statistically match.

In the control device 100, whether the registrant corresponding to the reference data 121 and the target person corresponding to the authentication data 122 are the same person based on the determination result of determining whether or not the two data are statistically matched. Judge whether or not. For example, the control device 100 calculates a match rate for a plurality of coordinate values on the main axis by using a determination result of determining whether or not both data statistically match. The match rate is the number of coordinate points determined to be statistically matched with respect to the number of coordinate points (coordinate values on the main axis) for which it is determined whether or not the two data are statistically matched. Information indicating the control device 100, the difference between the two data, the determination result of determining whether or not the data match statistically, the matching rate, and the like are stored in the storage unit 12 as the determination data 123 (FIGS. 14 and 15). reference).

The control device 100 compares the reference data 121 of all the registrants registered in advance with the authentication data 122 of the target person, and matches based on the determination result of determining whether or not the two data match statistically. Calculate the rate. The control device 100 has a registrant corresponding to the reference data 121 and a target person corresponding to the authentication data 122 when the matching rate is equal to or higher than a predetermined threshold value for the reference data 121 for which the maximum matching rate has been calculated. Is determined (authenticated) to be the same person. On the other hand, in the control device 100, when the matching rate of the reference data 121 for which the largest matching rate is calculated is less than a predetermined threshold value, the target person corresponding to the authentication data 122 does not match any of the registrants. judge.

FIG. 10 is a diagram illustrating measurement data. As shown in FIG. 10, the measurement data is information that can be represented by, for example, a map showing the distribution of foot pressure applied from the sole of the foot toward the floor on which the mat of the measuring device 200 is laid. For example, the measurement data shows the foot pressure applied to the position at the position coordinates represented by the X-axis and the Y-axis set along the arrangement direction of the piezoelectric sensors provided in the mat of the measuring device 200. This is the information that was given.

FIG. 11 is a diagram showing an example of the maximum value data 120 configuration. The maximum value data 120 is generated for each registrant, for example. The maximum value data 120 includes items such as a maximum value data ID, a registrant ID, a registrant name, and a maximum value data. The maximum value data ID is identification information that uniquely identifies the maximum value data. The registrant ID is identification information that uniquely identifies the registrant corresponding to the maximum value data specified by the maximum value data ID. The registrant's name is the name of the registrant specified by the registrant ID. The maximum value data is created for each measurement number such as the first time, the second time, and so on. Items such as coordinate values, maximum values, and standardization are provided for each measurement. The coordinate value indicates the coordinate value on the main axis (here, the Y axis). The maximum value indicates the maximum value of the foot pressure group that passes through the coordinate values on the main axis and is distributed in the direction of the sub-axis (here, the X-axis).

In normalization, the standardized value of the maximum value is shown. Normalization may be performed by any method. For example, a case where normalization is performed by dividing the maximum value associated with each coordinate value by the largest value among the maximum values associated with each coordinate value will be described as an example. In this case, the largest value among the maximum values associated with each coordinate value is normalized to 1.0, and each of the maximum values associated with each coordinate value is normalized to a value of 1.0 or less. Will be done. In this way, by normalizing the maximum value at each measurement time, it is possible to absorb the variation in the load caused by the difference in the measurement timing and the like. Even when the measurement is performed including the state before and after the registrant's weight fluctuates, such as before and after a meal, the fluctuation of the foot pressure value due to the weight fluctuation is absorbed by standardizing the maximum value. It is possible to do.

In the example of FIG. 11, an example in which the maximum value data of Mr. A, who is the registrant ID (H0001), is associated with the maximum value data ID (S0001) is shown. Further, as the maximum value data, the foot pressure value showing 6.33 was selected as the maximum value among the foot pressure groups distributed in the direction orthogonal to the Y axis through the coordinate Y = 1 of the first measurement data. It is shown. Further, it is shown that the foot pressure value showing 77.67 was selected as the maximum value among the foot pressure groups distributed in the direction orthogonal to the Y axis through the coordinate Y = 3. The maximum value data 77.67 corresponding to the coordinate Y = 3 is the largest value among the maximum value data associated with the coordinate value on the Y axis, and the normalized value is 1.0. It is shown.

FIG. 12 is a diagram showing an example of the configuration of the reference data 121. The reference data 121 is generated for each registrant or for each maximum value data 120, for example. The reference data 121 includes items such as a reference data ID, a registrant ID, a registrant name, and reference data. The reference data ID is identification information that uniquely identifies the reference data. The registrant ID and the registrant name are the same as the registrant ID and the registrant name in the maximum value data 120. The reference data is provided with items such as coordinate values, mean values, and standard deviations. The coordinate value indicates the coordinate value on the main axis (here, the Y axis). The average value indicates the average value of the maximum value data group associated with the coordinate values on the main axis corresponding to each of the plurality of measurements. The standard deviation indicates the standard deviation as an index indicating the degree of variation of the maximum value data group associated with the coordinate values on the spindle corresponding to each of the plurality of measurements.

In the example of FIG. 12, an example in which the reference data of Mr. A, who is the registrant ID (H0001), is associated with the reference data ID (K0001) is shown. Further, as the reference data, it is shown that the average value of the maximum value data (normalized maximum value data) group corresponding to the coordinate Y = 1 is 0.09. Further, it is shown that the standard deviation of the maximum value data (normalized maximum value data) group corresponding to the coordinate Y = 1 is 0.05.

FIG. 13 is a diagram showing an example of the configuration of the authentication data 122. The authentication data 122 is generated for each target person, for example. The authentication data 122 includes items such as an authentication data ID, a target person ID, a target person name, and authentication data. The authentication data ID is identification information that uniquely identifies the authentication data. The target person ID is identification information that uniquely identifies the target person corresponding to the authentication data specified by the authentication data ID. The target person's name is the name of the target person specified by the target person ID. The authentication data is provided with items such as coordinate values, maximum values, and standardization. The coordinate value, the maximum value, and the standardization have the same contents as the coordinate value, the maximum value, and the standardization in the maximum value data 120.

In the example of FIG. 13, an example is shown in which the authentication data ID (N0001) is associated with the authentication data of Mr. Z, who is the target person ID (T0001). Further, as the authentication data, it is shown that the maximum data associated with the coordinate Y = 1 of the first measurement data is 6.33.

In the above description, the case where the authentication data 122 includes items of the target person ID and the target person's name has been described as an example, but the present invention is not limited to this. The ID and name of the subject to be authenticated are information that is determined after being authenticated by the control device 100. That is, it is not necessary that the target person ID and the target person's name are input as the confirmed information at the time when the target person's authentication data 122 is acquired. For example, the ID and name of the subject may be input by some method when measuring the foot pressure of the subject, or the foot pressure of the subject may be measured without any information being input. .. Further, when measuring the foot pressure of the subject, a temporary ID and a temporary name may be input, and after authentication, an ID and a name corresponding to the authentication result may be input.

Alternatively, the authentication data 122 may be composed of information obtained only from the data indicating the foot pressure of the target person (the item of "authentication data" in the authentication data 122 of FIG. 13). That is, the authentication data 122 does not have to include the items of the target person ID and the target person's name.

14 and 15 are diagrams showing an example of the configuration of the determination data 123. The determination data 123 is created for each combination of the reference data 121 and the authentication data 122 to be compared in the individual authentication, for example. FIG. 14 shows an example of the determination data 123A showing the difference between the two data and the determination result of determining whether or not they match statistically. FIG. 15 shows an example of the determination data 123B showing the match rate.

As shown in FIG. 14, the determination data 123A includes items such as coordinate values, reference data, authentication data, differences, and match determination. The coordinate value is the same as the coordinate value in the maximum value data 120. The reference data includes items such as a reference data ID, a mean value, and a standard deviation. The reference data ID, mean value, and standard deviation are the same as the reference data ID, mean value, and standard deviation in the reference data 121. The authentication data includes items such as an authentication data ID. The authentication data ID is the same as the authentication data ID in the authentication data 122. The difference is the difference between the average value of the reference data and the maximum value of the authentication data. The match determination is a determination result of determining whether or not the reference data and the authentication data are statistically matched.

In the example of FIG. 14, an example in which the reference data 121 specified by the reference data ID (K0001) and the authentication data specified by the authentication data ID (N0001) are compared is shown. It is shown that the difference between the average value (0.09) of the reference data corresponding to the coordinate Y = 1 and the value (0.11) of the authentication data is (−0.02). The absolute value of the difference (−0.02) is less than or equal to the standard deviation (0.05). From this, it can be said that the difference between the two data is within the range of the standard deviation. Therefore, the result of the match determination is "OK", indicating that both data are statistically matched.

As shown in FIG. 15, the determination data 123B includes items such as a reference data ID, an authentication data ID, a number of coordinates, a number of match determination OKs, and a match rate. The reference data ID is the same as the reference data ID in the reference data 121. The authentication data ID is the same as the authentication data ID in the authentication data 122. The number of coordinates is the total number of Y coordinates calculated by the difference between the average value of the reference data and the maximum value of the authentication data. The number of matching determination OKs is the number of Y coordinates determined to statistically match the reference data and the authentication data. The match rate is the ratio of the number of match determination OKs to the number of coordinates.

In the example of FIG. 15, an example in which the reference data 121 specified by the reference data ID (K0001) and the authentication data specified by the authentication data ID (N0001) are compared is shown. It is shown that the difference between the two data is calculated for 25 Y coordinates, and the result of the match determination is "OK" for 23 of them. The match rate is shown to be 23/25, or 92%.

FIG. 16 is a flowchart showing a flow of processing performed by the control device 100. Here, it is assumed that the reference data 121 for a plurality of registrants has already been registered (stored).

First, the control device 100 acquires the measurement data of the target person (step S10). The control device 100 generates authentication data of the target person (step S11). First, the control device 100 determines the main axis in the distribution of the foot pressure shown in the acquired measurement data. The control device 100 generates the authentication data 122 by selecting one foot pressure data indicating the maximum value among the foot pressure groups distributed in the sub-axis direction along the determined main axis.

Next, the control device 100 selects the reference data 121 to be compared with the authentication data 122 (step S12). The control device 100 calculates the matching rate between the reference data 121 selected in step S12 and the authentication data 122 (step S13). The control device 100 calculates the difference between the selected reference data 121 and the authentication data 122 of the target person by comparing each of the coordinates of the main axis. When the difference between the two data at a certain Y coordinate is within the range of the standard deviation of the reference data 121, the control device 100 determines that the values of the two data at the Y coordinate statistically match. The control device 100 calculates the ratio of the number of Y coordinates determined to statistically match the values of both data to the total number of Y coordinates calculated by the difference between the two data as the match rate.

Next, the control device 100 determines whether or not all the registered reference data 121 are compared with the authentication data 122 of the target person (step S14). If the control device 100 does not compare all the registered reference data 121 with the authentication data 122 of the target person, the control device 100 returns to step S12 to compare with the other reference data 121 and calculate the matching rate. On the other hand, the control device 100 selects the reference data 121 having the maximum matching rate when compared with the authentication data 122 of the target person for all the registered reference data 121 (step S15). The control device 100 determines whether or not the match rate of the reference data 121 selected in step S15 is equal to or greater than a predetermined threshold value (step S16). In the control device 100, when the match rate of the reference data 121 selected in step S15 is equal to or greater than the threshold value, the target person corresponding to the authentication data 122 is a registrant associated with the reference data 121 selected in step S15. It is determined that there is (step S17). On the other hand, in the control device 100, when the matching rate of the reference data 121 selected in step S15 is less than the threshold value, the target person corresponding to the authentication data 122 is registered associated with the reference data 121 selected in step S15. It is determined that the person is not a person (step S18). In step S18, the control device 100 determines that the target person corresponding to the authentication data 122 does not correspond to any of the pre-registered registrants.

In the above-mentioned flowchart, the case where the processes of steps S12 and S13 are repeatedly performed according to the determination result of step S14 has been described. That is, the case where all the registered reference data 121 is compared with the authentication data 122 of the target person has been described as an example. However, it is not limited to this. The control device 100 may compare only a part of the reference data 121 out of all the registered reference data 121 with the authentication data 122 of the target person. Further, in the above, it is assumed that there are a plurality of registered reference data 121, but there may be one registered reference data 121.

As described above, the control device 100 acquires the measurement data measured by the measuring device 200. The measuring device 200 is a measuring device that measures the pressure applied to the floor surface. The measurement data is information showing the distribution of foot pressure acting on the floor surface from the sole of the subject's foot. The control device 100 compares the reference data 121 of the registrant with the authentication data 122 of the target person, and determines whether or not the target person is the same person as the registrant. The registrant is a pre-registered subject. The reference data 121 is information indicating the statistics of the maximum value data 120 in the registrant. The reference data 121 is an example of “statistical data”. The subject is a subject to be certified. The maximum value data 120 is an example of “selection data”. The authentication data 122 is an example of "selection data". The maximum value data 120 and the authentication data 122 are information selected from the measurement data. The maximum value data 120 and the authentication data 122 are data in which one foot pressure value is selected from a foot pressure group distributed in a direction parallel to the sub-axis through a predetermined coordinate value on the main axis according to a predetermined selection condition. be. The main axis is an axis indicating a predetermined direction set in the distribution of the foot pressure shown in the measurement data. The sub-axis is an axis that points in a different direction from the main axis.

Thereby, the control device 100 can select the foot pressure that well indicates the distribution state of the foot pressure from the measurement data by using the main axis and the sub-axis in the measurement data. Therefore, it is not necessary to extract the characteristics of the foot pressure distribution by using a method such as machine learning, and a huge amount of learning data is not required. In addition, since authentication is not performed based on the degree of similarity between the features extracted by using a method such as machine learning, complicated arithmetic processing such as the Mahalanobis distance indicating the degree of similarity is not performed. That is, it is possible to perform individual authentication based on the load applied from the sole of the foot without requiring a huge amount of learning data and without performing complicated arithmetic processing.

Further, in the control device 100, the main axis is set in the direction from the heel portion of the foot toward the toes, and the sub-axis is set in the foot width direction. In general, it is presumed that the sole of the foot is subjected to a relatively large major load in the direction along the length of the foot. By setting such a main axis and a sub-axis, the control device 100 of the embodiment can select data that well shows the tendency of the foot pressure distribution from the measurement data. Therefore, it is possible to suppress deterioration of authentication accuracy while reducing the amount of data handled in the processing related to authentication.

Further, in the control device 100, the maximum value data 120 and the authentication data 122 pass through a predetermined coordinate value on the main axis, and the selection condition is that the maximum value is selected from the foot pressure group distributed in the direction parallel to the sub axis. Therefore, it is the selected data. Thereby, the control device 100 can generate the maximum value data 120 and the authentication data 122 by an easy method of selecting the maximum one from a plurality of foot pressure groups.

Further, in the control device 100, the maximum value data 120 is standardized by dividing the selection value selected corresponding to each of the plurality of coordinate values on the spindle by the maximum value among the selection values. It is the data that was done. Thereby, the control device 100 of the embodiment can absorb the variation in the load caused by the difference in the measurement timing and the like. Even when the measurement is performed including the state before and after the registrant's weight fluctuates, such as before and after a meal, the fluctuation of the foot pressure value due to the weight fluctuation is absorbed by standardizing the maximum value. It is possible to do.

Further, in the control device 100, the reference data 121 is data indicating a simple addition average value and a standard deviation in a plurality of maximum value data 120 in the same registrant. The plurality of maximum value data 120s are generated based on each of the plurality of measurement data. The simple addition average value is an example of a "representative value" because it can be said to be one value representing each of a plurality of measurement data. The standard deviation is an example of "degree of variation". As a result, the control device 100 compares the average value of the reference data 121 derived from the plurality of measurements with the authentication data 122 of the target person, and whether or not the degree of deviation between the two data is within the allowable standard deviation range. Based on the above, it can be determined whether or not the two data match statistically. Therefore, it is possible to perform quantitative authentication.

The "degree of variation" is not limited to the standard deviation. The degree of variation may be an index that is acceptable as the degree of dissociation between the two data. The "degree of variation" may be expressed as a variance, or may be 2σ or 3σ instead of 1σ (sigma).

(Modification example 1 of sole pressure certification)
Here, the modification 1 will be described. This modification differs from the above-described embodiment in that the directions of the main axis and the sub-axis are determined by performing tilt correction based on the shape of the sole shown in the measurement data.

In this modification, it is assumed that the direction in which the foot is placed on the mat is not guided (guided) when measuring the foot pressure of the subject. In this case, the foot length direction in the measurement data and the arrangement direction of the piezoelectric sensors do not always match. In such a case, the contents of the maximum value data 120 and the authentication data 122 may differ depending on whether the foot length direction and the arrangement direction match or not. In this case, it becomes difficult to perform authentication with high accuracy.

As a countermeasure, the control device 100 determines the main axis and the sub-axis based on the shape of the sole shown in the measurement data. For example, the control device 100 acquires measurement data and uses the acquired measurement data to extract the shape of the sole of the foot. For example, in the measurement data, the control device 100 has different colors (for example) between the position coordinates where the foot pressure is 0 (zero) and the position coordinates where the foot pressure is not 0 (zero) and some weight is measured. , White and black), the shape of the sole of the foot is extracted from the measurement data.

The control device 100 temporarily sets the main axis in the vertical direction and the sub-axis in the direction orthogonal to the main axis, centering on the position of the center of gravity of the extracted sole shape. The control device 100 rotates the shape of the sole of the foot around the position of the center of gravity, and detects the angle of rotation at which the ratio of the length in the main axis direction to the length in the subaxial direction in the shape of the sole is minimized. The control device 100 corrects the inclination of the shape of the sole of the foot with the detected rotation angle. The control device 100 sets a main axis in the vertical direction and a sub-axis in the left-right direction with respect to the sole of the foot whose inclination has been corrected.

As described above, the control device 100 in the first modification determines the directions of the main axis and the sub-axis by performing tilt correction based on the shape of the sole shown in the measurement data. As a result, even when the control device 100 in the first modification of the embodiment measures the measurement data in a state where the foot length direction is oriented in a direction different from the guided (guided) direction in the measuring device 200. By performing tilt correction, it is possible to determine the main axis in the foot length direction and the sub-axis in the foot width direction. Therefore, even if the measurement according to the guide is not performed, it is possible to suppress the deterioration of the authentication accuracy.

In the above-mentioned modification 1, as a method of detecting the rotation angle, a method of detecting the rotation angle at which the ratio of the length in the sub-axis direction to the length in the main axis direction is minimized has been described as an example. It is not limited to this. The control device 100 may detect the rotation angle at which the length in the main axis direction is the maximum, or may detect the rotation angle at which the length in the sub-axis direction is the minimum.

Further, in the above-mentioned modification 1, the description is made on the premise that the main axis and the sub-axis are orthogonal to each other, but the present invention is not limited to this. The main axis and the sub-axis may be at least in different directions from each other. For example, the control device 100 may first determine the direction of the main axis and then determine the direction of the sub-axis.

For example, the control device 100 first temporarily sets the main axis in the vertical direction with the position of the center of gravity of the shape of the sole of the foot extracted from the measurement data as the center. The control device 100 rotates the shape of the sole of the foot around the position of the center of gravity, and detects the rotation angle of the shape of the sole that maximizes the length in the main axis direction. The control device 100 sets the vertical direction when the shape of the sole of the foot is tilted at the detected rotation angle to the direction of the main axis.

Next, the control device 100 temporarily sets the sub-axis in the left-right direction with the position of the center of gravity of the shape of the sole of the foot extracted from the measurement data as the center. The control device 100 rotates the shape of the sole of the foot around the position of the center of gravity, and detects the rotation angle of the shape of the sole that minimizes the length in the subaxial direction. The control device 100 may set the left-right direction when the shape of the sole of the foot is tilted at the detected rotation angle to the direction of the sub-axis.

(Modification example 2 of sole pressure certification)
Here, the second modification will be described. This modification differs from the above-described embodiment in that the directions of the main axis and the sub-axis when the authentication data 122 is generated from the measurement data of the target person are determined in correspondence with the reference data 121.

In this modification, it is assumed that the direction of the spindle corresponding to the registrant's reference data 121 is not limited to the foot length direction. For example, depending on the registrant, the distribution of foot pressure may be distributed in a direction different from the foot length direction, for example, the direction along the foot sword or the direction along the line segment connecting the thumb ball and the heel. You may be able to select well-represented data. In such a case, the control device 100 generates the maximum value data 120 in which the direction of the main axis is changed for each registrant, and creates the reference data 121 based on the generated maximum value data 120. In this case, when performing individual authentication, the main axis corresponding to the reference data 121 in the registrant and the main axis corresponding to the authentication data 122 in the target person may be in different directions from each other. In this case, it becomes difficult to perform authentication with high accuracy.

As a countermeasure, in this modification, the control device 100 determines the main axis and the sub-axis in the shape of the sole shown in the measurement data of the subject so as to correspond to the reference data 121 in the registrant performing individual authentication. do.

For example, when the control device 100 determines the main axis and the sub-axis in the measurement data of the registrant, the control device 100 calculates the angle between the main axis direction and the foot length direction in the shape of the sole shown in the measurement data. The control device 100 may determine the angle between the main axis direction and the foot length direction by any method. For example, the control device 100 determines the foot length direction by the same method as the method of determining the main axis in the above-mentioned modification 1. That is, the control device 100 determines the direction in which the length in the axial direction is maximum as the foot length direction by rotating the shape of the sole of the foot around the position of the center of gravity thereof. Then, based on the determined foot length direction, the angle between the foot length direction and the main axis in the measurement data of the registrant is calculated. When the direction of the foot length and the direction of the main axis match, the angle formed is 0 (zero) degrees.

The control device 100 acquires the measurement data of the subject and determines the foot length direction in the shape of the sole shown in the acquired measurement data. The control device 100 may determine the foot length direction by any method. For example, the control device 100 determines the foot length direction by the same method as the method of determining the main axis in the above-mentioned modification 1. That is, the control device 100 determines the direction in which the length in the axial direction is maximum as the foot length direction by rotating the shape of the sole of the foot around the position of the center of gravity thereof. Then, the spindle is determined by rotating a predetermined angle from the determined foot length direction. The predetermined angle here is an angle formed by the spindle corresponding to the reference data 121 and the foot length direction in the shape of the sole shown in the measurement data corresponding to the reference data 121.

The control device 100 determines the main axis for creating the authentication data 122 of the target person according to the main axis corresponding to each of the reference data 121 of the plurality of registrants. The control device 100 generates authentication data 122 based on the respective spindles, and compares the generated authentication data 122 with the reference data 121 of the corresponding registrant, so that the target person is the registrant. Calculate the match rate in the case. The control device 100 performs individual authentication by determining whether the target person is the same person as any registrant or not any registrant based on the calculated matching rate.

As described above, the control device 100 of the modified example 2 has a main axis and a sub-axis in the shape of the sole shown in the measurement data of the subject so as to correspond to the reference data 121 in the registrant who performs individual authentication. To determine. As a result, even when the direction of the main axis is changed by the registrant, the authentication data 122 that matches the direction of the main axis can be generated, so that the deterioration of the authentication accuracy can be suppressed.

(Modification example 3 of sole pressure certification)
Here, the modification 3 will be described. This modification differs from the above-described embodiment in that multiple authentication is performed. The multiple authentication here means that the target person registers the result of the authentication of the above-described embodiment (hereinafter referred to as the first authentication) and the result of the authentication separately performed (hereinafter referred to as the second authentication). It is to determine (authenticate) whether it corresponds to any of the persons or does not correspond to any of the registrants. This makes it possible to perform authentication more reliably (robustly).

In this modification, the control device 100 performs the first authentication. The first authentication is the authentication used for the authentication of the subject in the above-described embodiment. The first authentication is, for example, authentication based on the result of the determination performed in steps S14 and S16 in the flowchart of FIG. That is, in the first authentication, the target person corresponds to one of the registrants or any of the registrants when the matching rate in the reference data having the maximum matching rate is equal to or higher than a predetermined threshold value. It is to judge (authenticate) whether or not to do so.

In this modification, the control device 100 further performs the second authentication. The second authentication is to determine (authenticate) whether the target person corresponds to any of the registrants or does not correspond to any of the registrants by using a method different from the first authentication. Any authentication method may be applied as the method for performing the second authentication. For example, in the second authentication, the combination of the ID and the password entered by the target person matches the combination of the ID and the password of the specific registrant. The specific registrant here is a registrant who is determined to be the target person in the first authentication.

The control device 100 may perform the second authentication after performing the first authentication, or may perform the first authentication after performing the second authentication. Further, it may be decided whether or not to perform the second authentication according to the result of performing the first authentication. Depending on the result of performing the second certification, it may be decided whether or not to perform the first certification.

Further, the second authentication may be performed only when the target person corresponds to any of the registrants in the first authentication. This makes it possible to perform more robust authentication while suppressing an increase in processing load. For example, if it is found in the first authentication that the target person does not correspond to any of the registrants, the result of the authentication can be confirmed without performing the second authentication, and the increase in the processing load can be suppressed. Is possible. On the other hand, if the target person is found to be one of the registrants in the first certification, the second certification is performed, and it can be confirmed that the target person is also the registrant in the second certification. In such a case, it is possible to make the authentication more reliable by confirming the result of the authentication. The same applies even when the order of the first authentication and the second authentication is exchanged.

1: Production control system 10: Registration unit 11: Individual sole pressure measurement unit 12: Storage unit 20: Production unit 21: Production control unit 22: Production log management unit 30: Sole pressure authentication unit 31: Sole pressure measurement unit 32: Personal authentication unit 100: Control device 101: Touch panel 102: Work table 110: CPU
130: Memory 140: Communication circuit 150: Touch panel 160: Storage 161: Sole pressure measurement program 162: Sole pressure certification program 163: Manufacturing control program 164: Registration program 200: Measuring device 300: Manufacturing device D30: Measurement result L20: Production log T10: Registration information table 120: Maximum value data 121: Reference data 122: Authentication data 123: Judgment data 123A: Judgment data 123B: Judgment data

Claims (7)

The manufacturing department that manufactures products and
A measuring unit installed on the floor of the working range of the worker who operates the manufacturing unit and measuring the foot pressure distribution of the worker, and a measuring unit.
When the worker detects an execution opportunity for the manufacturing unit to execute a predetermined operation, the sole pressure is authenticated using the sole pressure distribution of the worker measured by the measuring unit, and the sole pressure is detected. A production control system including a control unit that puts the manufacturing unit into an executable state in which the predetermined operation can be executed when the authentication is successful. When the sole pressure authentication is successful, the control unit determines whether or not the manufacturing unit is in the executable state according to the security level including the operation authority of the manufacturing unit of the worker. Item 1 The production control system. The production control system according to claim 1, wherein the control unit associates the identifier of the worker with the history of the predetermined operation and records the production unit in the production log when the manufacturing unit is put into the executable state. The predetermined operation includes manufacturing the product using the manufacturing unit.
The feasible state includes a state in which the manufacturing unit can manufacture the product by the operation of the worker.
The control unit records the identifier of the worker and the identifier of the product in the production log in association with each other when the manufacturing unit is in a state where the product can be manufactured by the operation of the worker. 1 The production control system described. The production control system according to claim 1, wherein the control unit puts the manufacturing unit in a state in which the operator cannot operate the manufacturing unit when the foot pressure authentication fails. The measuring unit measures the foot pressure distribution of the worker every first period, and the measuring unit measures the foot pressure distribution.
The control unit performs the sole pressure authentication using the sole pressure distribution of the worker measured every first period, and if the sole pressure authentication fails, the manufacturing unit is stopped. Item 1 The production control system. The manufacturing process of manufacturing products using the manufacturing department,
A measurement process for measuring the foot pressure distribution of the worker by a measuring unit installed on the floor of the working range of the worker who operates the manufacturing unit.
When the worker detects an execution opportunity for the manufacturing unit to execute a predetermined operation, the foot pressure is authenticated using the foot pressure distribution of the worker measured by the measuring unit, and the foot pressure is detected. If the authentication is successful, the control step of putting the manufacturing unit into an executable state in which the predetermined operation can be performed, and
Production control method.

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