JP2020166358A - Wearable device, work management method, and information processing device - Google Patents

Abstract

To provide a wearable device, work management method, and information processing device for managing fatigue of workers.SOLUTION: A wearable device provided herein is designed to be worn on a part of the body of a worker, and comprises a sensor for detecting biological information of the worker, an identification unit configured to identify a fatigue value based on the biological information detected by the sensor, and an output unit configured to output information in a form that can be recognized from the surroundings when the identified fatigue value exceeds a given level.SELECTED DRAWING: Figure 1

Description

The present technology relates to wearable devices, work management methods, and information processing devices.

Conventionally, monitoring methods for managing the safety of the target person have been proposed, and it is considered that these methods can be applied to the monitoring method for the safety management of working workers. Patent Document 1 discloses a monitoring system that detects an abnormality even when the monitoring target cannot be contacted without giving the stress of being monitored by the monitoring target.

The monitoring system according to Patent Document 1 includes a management terminal, a contact button connected to the management terminal, and a storage medium possessed or worn by the monitoring target person to store the identification code of the monitoring target person. The person to be watched presses the contact button when he / she is fine and there is no abnormality, and sends the fact that he / she is fine to the management terminal. The management terminal determines that the watching target person is fine by receiving the contact from the watching target person, and if the monitoring target person is not contacted for a certain period of time, further confirms the safety and watches over the target person.

Japanese Unexamined Patent Publication No. 2012-234451

However, even when the person feels well, factors that worsen the health condition such as fatigue may be accumulated without noticing it. In addition, even though they are feeling these symptoms, they may hesitate to tell them to their surroundings and the symptoms may worsen. These situations contribute to increasing the burden on workers during work, and as a result, work efficiency may deteriorate.

An object of the present disclosure is to provide a wearable device, a work management method, and an information processing device for managing worker fatigue.

The wearable device according to one aspect of the present disclosure includes a sensor that is attached to a part of the worker's body and detects the biological information of the worker, and a specific portion that specifies a fatigue value based on the biological information detected by the sensor. It is provided with an output unit that outputs information that can be recognized by the surroundings when the specified fatigue value exceeds a predetermined level.

The work management method in one aspect of the present disclosure includes a sensor that is attached to a part of the worker's body and detects the worker's biological information, and a specific unit that identifies a fatigue value based on the biological information detected by the sensor. A wearable device provided with an output unit that outputs information that can be recognized by the surroundings when the specified fatigue value exceeds a predetermined level and a worker who wears the wearable device and works are stored in association with each other. Obtain information about the fatigue value.

The information processing device according to one aspect of the present disclosure includes a sensor that is attached to a part of the worker's body and detects the worker's biological information, and a specific unit that identifies a fatigue value based on the biological information detected by the sensor. A wearable device having an output unit that outputs information that can be recognized by the surroundings when the specified fatigue value exceeds a predetermined level and a worker who wears the wearable device and works are stored in association with each other. It includes a storage unit and an acquisition unit for acquiring information on the fatigue value.

In the wearable device, the work management method, and the information processing device according to the present disclosure, since the fatigue value of the worker is specified based on the information detected by the sensor provided in the wearable device, the worker It is possible to manage the degree of fatigue. Further, since the surroundings can recognize the fatigue before the fatigue is accumulated without the worker himself / herself noticing, the work efficiency can be managed.

It is a figure which shows the outline of the work management system. It is explanatory drawing explaining the wearable device which concerns on 1st Embodiment. It is a block diagram which shows the structure of a work management system. It is explanatory drawing which shows an example of the record layout of a worker DB. It is explanatory drawing which shows an example of the record layout of the work history DB. It is explanatory drawing which shows an example of the record layout of the fatigue value DB. It is a figure which shows the content example of the learning model created in advance. It is a flowchart which shows an example of the processing procedure which a work management system executes. It is a block diagram which shows the structure of the work management system in 2nd Embodiment. It is explanatory drawing which shows an example of the record layout of the work situation DB. It is a flowchart which shows an example of the processing procedure executed by the work management system in 2nd Embodiment. It is a flowchart which shows an example of the processing procedure executed by the work management system in 2nd Embodiment. It is a figure which shows an example of the screen which accepts the input of mutual evaluation.

(First Embodiment)
The present invention will be specifically described with reference to the drawings showing the embodiments thereof.

FIG. 1 is a diagram showing an outline of the work management system 100. In the first embodiment, the work management system 100 in which the work manager manages the work efficiency according to the information on the fatigue value of the worker during work will be described. The work management system 100 includes a wearable device 1 and an information processing device 2.

The wearable device 1 is a terminal device worn on a part of the worker's body. The fatigue value of the worker is specified based on the acquired biological information of the worker by a program described later. The wearable device 1 and the information processing device 2 are communicated and connected via the network N, and various information including the fatigue value is transmitted and received.

The information processing device 2 is a server computer managed by a work manager. Work management is realized by presenting various countermeasures and information regarding the biological information of the worker to be acquired by the server program described later. The information processing device 2 may be a multi-computer composed of a plurality of computers, may be a virtual machine virtually constructed by software, or may use a cloud server.

The network N includes a public network N1 and a carrier network N2. The public network N1 is the so-called Internet. The carrier network N2 is a network provided by a communication carrier that realizes wireless communication based on a standard such as a next-generation or next-generation high-speed mobile communication standard. The public network N1 includes an access point AP. The carrier network N2 includes a base station BS. The wearable device 1 can be connected to the information processing device 2 connected to the public network N1 by the access point AP or the base station BS by the wireless communication function.

FIG. 2 is an explanatory diagram illustrating the wearable device 1 according to the first embodiment. In the first embodiment, a wearable device 1 having a spectacle-shaped shape will be described as an example. The wearable device 1 is attached to a working worker to detect biological information and the like. The wearable device 1 is composed of a frame unit 51, temple units 52, 52, and lens units 53, 53, and includes a sensor 3 and a display unit (output unit) 4.

The frame portion 51 supports the lens portions 53 and 53 so as to be located in front of the right eye and the left eye of the operator, respectively. The lens units 53 and 53 are not essential. The frame portion 51 is provided with nose pads 54, 54 at positions that come into contact with the nose of the operator when the wearable device 1 is worn. Left and right temple portions 52, 52 extending rearward in a hanging shape are formed from both ends of the frame portion 51 via a connecting member such as a hinge (not shown). The wearable device 1 is held on the worker's head by the temple portion 52 and the nose pad portion 54.

The wearable device 1 is provided with a sensor 3 for detecting the biological information of the worker. The first example of the sensor 3 is a pulse wave sensor, which detects a pulse wave of an operator. The second example of the sensor 3 is an electroencephalogram sensor, which detects an electroencephalogram of an operator. The third example of the sensor 3 is an image sensor, which detects the movement of the line of sight of the operator. The sensor 3 is not limited to the above example, and may include, for example, a sensor such as a temperature sensor or a pressure sensor. Further, the sensor 3 may be configured by combining a plurality of sensors.

The temple portions 52, 52 are configured to come into contact with various parts of the body such as the temporal region and earlobe of the worker. When a pulse wave sensor, an electroencephalogram sensor, or the like is used for the sensor 3, it is preferable to arrange the sensor at the contact point between the temple portion 52 and the operator's body to perform measurement. The temple portions 52, 52 may be configured such that a belt in contact with the back of the head is further connected, and a sensor is arranged at a contact point between the belt and the head to detect biological information. When an image sensor is used for the sensor 3, the sensor 3 may be arranged on the frame portion 51 or may be arranged on the nose pads 54, 54.

In the first embodiment, an example in which biological information is detected by using a pulse wave sensor for the sensor 3 will be described. The sensor 3 is arranged at a contact position between the temple portions 52 and 52 and the temporal region of the operator.

At the end of the frame portion 51, a display portion 4 for notifying the surroundings of the fatigue of the operator is provided. When the fatigue value of the worker wearing the wearable device 1 exceeds a predetermined level by using a light emitting element such as a light emitting diode by a program described later, the display unit 4 lights up to display information to the surroundings. Output. The configuration of the display unit is not limited to the light emitting element.

In the present embodiment, an example in which the wearable device 1 has an eyeglass type has been described, but the shape is not limited, and may be other shapes such as a wristwatch type, a ring type, and a hat type.

FIG. 3 is a block diagram showing the configuration of the work management system 100. The wearable device 1 includes a control unit 11, a storage unit 12, a communication unit 13, and an input / output unit 14. The control unit 11 includes a processor such as a CPU (Central Processing Unit) and a GPU (Graphical Processing Unit), a memory, and the like. The control unit 11 may be configured as one piece of hardware (SoC: System On a Chip) in which a processor, a memory, a storage unit 12, and a communication unit 13 are integrated. The control unit 11 reads and executes the program 1P stored in the storage unit 12 to perform various information processing, control processing, and the like related to the wearable device 1.

The storage unit 12 includes a non-volatile memory such as a flash memory. The storage unit 12 stores preset setting information in addition to the program 1P and the fatigue value DB 121. The program 1P may be a program 19P stored in the storage medium read by the control unit 11 by the communication unit 13 and installed in the storage unit 12. The program 1P may be one in which the control unit 11 receives the program (not shown) distributed by any information processing device via the network N by the communication unit 13 and installs it in the storage unit 12. The storage unit 12 may be an external storage device connected to the wearable device 1.

The communication unit 13 includes a processing circuit or the like for performing processing related to communication. The control unit 11 can send and receive information to and from the wearable device 1 via the network N by the communication unit 13.

The input / output unit 14 is connected to the sensor 3 and the display unit 4. The control unit 11 outputs a signal indicating predetermined information such as lighting to the display unit 4 by the input / output unit 14. Further, the control unit 11 acquires a signal indicating biological information obtained from the sensor 3.

In the present embodiment, the wearable device 1 is not limited to the above configuration, and may include, for example, an audio input / output unit including a speaker, a microphone, and the like.

The information processing device 2 includes a control unit 21, a storage unit 22, a communication unit 23, and a display unit 24. The control unit 21 is a processor such as one or a plurality of CPUs and GPUs, and includes a built-in volatile memory, a clock, and the like. The control unit 21 reads and executes the server program 2P stored in the storage unit 22 to perform various information processing, control processing, and the like related to the information processing device 2.

The communication unit 23 includes a processing circuit and the like for performing processing related to communication. The control unit 21 can send and receive information to and from the wearable device 1 via the network N by the communication unit 23.

The display unit 24 is a display device such as a liquid crystal display or an organic EL (Electro Luminescence) display, and displays various data given by the control unit 21.

The storage unit 22 stores the server program 2P, the worker DB 221 and the work history DB 222, as well as preset setting information, using the hard disk. The server program 2P may be acquired from the outside by the communication unit 23 and stored in the storage unit 22. Further, the storage unit 22 may be an external storage device connected to the information processing device 2.

FIG. 4 is an explanatory diagram showing an example of the record layout of the worker DB 221. The worker DB 221 includes a worker identification information string and a WD identification information string. The worker identification information column stores a worker ID for identifying each worker. The WD identification information string stores the identification information of the wearable device 1 worn on the worker in association with the worker identification information. As the worker information, the worker's name, age, address, contact information, work schedule, etc. may be stored in association with the worker identification information. Note that FIG. 4 is an example, and the stored worker information is not limited.

FIG. 5 is an explanatory diagram showing an example of the record layout of the work history DB 222. The work history DB 222 is a database that stores information related to the work contents of the worker, and these information are collected by the control unit 21 of the information processing device 2. The work history DB 222 includes a worker ID column, a work date and time column, a work time column, a work content column, a biometric information column, a fatigue value column, an alert occurrence time column, a worker column, a group column, a mutual evaluation column, and a reward column. Including. The work date / time column, work time column, and work content column are associated with the worker ID, respectively, and store the work date / time, work time, and work content. The biometric information string stores a log of detection information of the sensor 3 in association with the worker ID. The fatigue value sequence stores the fatigue value specified from the detection information of the sensor 3 in association with the worker ID. The alert occurrence time column stores the presence / absence and occurrence time of the alert in association with the worker ID. The worker column and the group column store the group identification information for identifying other worker IDs and groups when the work is performed by a group of a plurality of people in association with the worker ID. The mutual evaluation column stores the evaluations from other workers when the work is performed by a plurality of people in association with the worker ID. The remuneration column stores the remuneration amount for the work in association with the worker ID. Note that FIG. 5 is an example, and the contents of the stored worker history are not limited. Further, the way of holding the data shown in FIG. 5 is an example, and other storage forms may be used as long as the relationship between the data is maintained.

In the work management system 100, the control unit 11 of the wearable device 1 identifies the fatigue value of the worker based on the detected value of the sensor 3. Here, the fatigue value represents a health condition that may hinder work efficiency during the work of the worker, and is, for example, fatigue, drowsiness, pain, dehydration, etc. of the worker. Since it has been found that these states are related to changes in pulse waves, brain waves, eye movements, and the like, fatigue values can be obtained by detecting these biological information.

In the first embodiment, the sensor 3 is a pulse wave sensor, and an example of specifying the fatigue value based on the pulse wave of the operator will be described. The control unit 11 specifies the fatigue value based on the fatigue value DB 121 in which the detection result obtained from the pulse wave and the fatigue value are associated with each other. Regarding the relationship between the pulse wave and the fatigue state, for example, when the worker feels fatigue or stress, the ratio of the low frequency component (LF) to the high frequency component (HF), that is, the LF / HF value increases. Has been done. Based on these findings, the LF / HF value is calculated from the detection signal obtained from the sensor 3, and the fatigue value is specified from the calculated LF / HF value.

The LF / HF value may be calculated by using a known method. For example, after analyzing the RR interval (RRI) variation from the pulse wave waveform based on the output waveform obtained from the pulse wave sensor, a predetermined value is used to convert the RR interval variation into equichronous interval data. The heart rate and RRI coefficient of variation are calculated by performing spline interpolation at the resampling frequency and performing statistical analysis. Further, as a frequency spectrum analysis, the power spectral density of the RRI fluctuation is analyzed by the fast Fourier transform method, and the low frequency component (LF), the high frequency component (HF), and the LF / HF value are calculated. The fatigue value is specified by the calculated LF / HF value.

FIG. 6 is an explanatory diagram showing an example of the record layout of the fatigue value DB 121. The fatigue value DB 121 includes a detection result column and a fatigue value column. The detection result column contains information for identifying the detection result of the biological information of the worker. In the example of FIG. 6, the detection result is the LF / HF value. The fatigue value sequence is stored, for example, by dividing the fatigue value into five levels of levels 1 to 5. When the LF / HF value is 0.0 to 1.9, the fatigue value level is 1, when the LF / HF value is 2.0 to 3.4, the fatigue value level is 2, and the LF / HF value is 3.5 to 4. In the case of .5, it corresponds to the fatigue value level 3, when the LF / HF value is 4.6 to 4.9, it corresponds to the fatigue value level 4, and when the LF / HF value is 5.0 or more, it corresponds to the fatigue value level 5. When the fatigue value exceeds level 4, it is determined that the operator may be in a fatigued state. Note that FIG. 6 is an example, and the content of the stored fatigue value is not limited.

Although the example of specifying the fatigue value based on the LF / HF value has been described above, the method of specifying the fatigue value is not limited. Since arrhythmia is likely to occur when there is fatigue or the like, the pulse may be measured by a pulse wave sensor and the degree of fatigue may be specified by the change in the pulse.

Moreover, the biological information detected by the sensor is not limited to the pulse wave. For example, an electroencephalogram sensor may be used to detect an electroencephalogram to specify a fatigue value. In this case, based on the knowledge that many brain waves of a specific frequency are detected from the brain when fatigue or the like is felt, fatigue is associated with the wavelength change of the brain wave of a specific frequency (for example, α wave) and the fatigue level. It is preferable to store it in the value DB 121 and specify the fatigue value based on the output result of the electroencephalogram sensor.

Further, the movement of the line of sight and the movement of the eyelids may be detected by using an image sensor to specify a fatigue value such as drowsiness. When a person is in a state of fatigue or the like, the movement of the line of sight tends to be irregular as compared with normal times. In addition, the number of times the eyelids are opened and closed and the closing time are likely to increase. Based on these, for example, the movement of the line of sight, the number of times the eyelids are opened and closed, and the fatigue level may be stored in the fatigue value DB 121, and the fatigue value may be specified based on the image analysis result of the image sensor.

Furthermore, the biological information detected by the sensor is not limited to one, and various biological information such as the body temperature and water content of the worker may be acquired. In this case, the fatigue value may be specified by storing the detected value in which a plurality of pieces of information are combined and the fatigue level in the fatigue value DB 121 in association with each other. Further, the biological information of the worker in normal time may be measured in advance, and the fatigue value level including the biological information in normal time may be set according to each worker.

The control unit 11 may estimate the fatigue value by another machine learning model. The control unit 11 creates in advance a learning model that outputs information indicating the fatigue value when an output signal acquired from the pulse wave sensor is input, stores it in the storage unit 12, and specifies the fatigue value by this learning model. You may.

FIG. 7 is a diagram showing a content example of the learning model 1M created in advance. The learning model 1M is a learning model for machine learning including deep learning, and is composed of, for example, a neural network. The learning model 1M inputs biological information (output signal acquired from the pulse wave sensor in FIG. 7) and outputs the fatigue value level estimated from the biological information. The learning model 1M is learned by creating teacher data in which the output signal acquired from the pulse wave sensor and the fatigue value level are associated with each other based on the knowledge that the pulse wave is likely to change in a state such as fatigue. To. The learning model 1M may use a recurrent neural network when time-series data is acquired as biological information. Further, when the output signal of biological information is acquired as image data, it may be a CNN (Convolution Neural Network).

In the work management system 100, the work manager detects the fatigue value of the worker wearing the wearable device 1 and manages the work. FIG. 8 is a flowchart showing an example of a processing procedure executed by the work management system 100. The processing contents of the work management system 100 will be described with reference to FIG. Here, an example in which the control unit 11 of the wearable device 1 and the control unit 21 of the information processing device 2 execute the following processes will be described, but a work manager may execute some of the processes. In the first embodiment, a case where the first worker and the second worker are working separately will be described.

Each worker wears the wearable device 1 before starting work and then starts working. When the wearable device 1 of the first worker is attached, the control unit 11 of the wearable device 1 receives the worker information (step S101) and authenticates the wearer's identity (step S102). The method of personal authentication is not limited, but biometric authentication such as voice authentication using a microphone provided in a wearable device, face authentication using an image sensor, and iris authentication is used. The control unit 11 collates with the authentication data of the first worker acquired in advance, and authenticates whether or not the worker who is trying to perform the work by wearing the wearable device 1 is the person himself / herself (step S103). .. The personal authentication may be performed by the control unit 21 of the information processing device 2 via the communication unit 23.

When the first worker is not recognized as the person himself / herself (S103: NO), the control unit 11 terminates the process assuming that the first worker cannot work. When the person is authenticated (S103: YES), the control unit 11 transmits the worker information and the wearable device 1 information to the information processing device 2 by the communication unit 13 (step S104).

The control unit 21 of the information processing device 2 acquires the worker information and the wearable device 1 information by the communication unit 23 (step S201). The control unit 21 stores the acquired information in the worker DB 221 (step S202). The worker DB 221 stores the identification information of the first worker and the wearable device 1 worn by the first worker in association with each other. The control unit 21 also stores information such as the work start date and time and the work content in the work history DB 222. Information such as work contents may be acquired by reading out information that has been input in advance by a work manager or the like and stored in the storage unit 22.

When the first worker wears the wearable device 1 and the work is started, the measurement is started by the sensor 3 that has detected the biological information. The sensor 3 measures the pulse wave of the temporal region of the first worker and outputs a signal. The control unit 11 acquires the detection result from the sensor 3 by the input / output unit 14 (step S105). The control unit 11 refers to the fatigue value DB 121 and specifies the fatigue value based on the acquired detection result (step S106). The control unit 11 determines whether or not the specified fatigue value is equal to or higher than a predetermined level (step S107). For example, when the LF / HF value is detected as 4.2 from the measurement result of the pulse wave, the fatigue value is specified as level 3, and it is determined that the set level (for example, level 4) is not exceeded. When it is determined that the fatigue value does not exceed the predetermined level (S107: NO), the control unit 11 returns the process to step S105 and subsequently acquires the detection result of the sensor 3.

On the other hand, when it is determined that the fatigue value exceeds a predetermined level (S107: YES), the control unit 11 outputs alert information to the information processing device 2 (step S108). Further, information is displayed on the display unit 4 of the wearable device 1 via the input / output unit 14 (step S109). The display unit 4 of the wearable device 1 visually informs the surrounding workers that the first worker is in a state of fatigue or the like, for example, by turning on the light. When there are a plurality of workers, the surrounding workers can pay attention to the fatigued workers. The method of notifying the surroundings may be a method other than turning on the light. For example, a method such as vibration to the wearable device 1 of another worker, output by voice, or output to the terminal of the work manager may be used.

The control unit 21 of the information processing device 2 receives alert information by the communication unit 23 (step S203). The control unit 21 stores information on the alert generation time in the work history DB 222. The control unit 21 identifies a substitute person who can perform the work on behalf of the first worker in which fatigue is detected (step S204). The person who can be replaced may be specified based on, for example, the work schedule of another worker stored in advance, the detection information from the wearable device 1 of the other worker, or the like. The control unit 21 outputs a support request to the specified second worker who can be replaced (step S205). The replacement request is notified to, for example, a mobile terminal owned by the second worker. The second worker who receives the notification attaches the wearable device 1 and starts the work. In the wearable device 1 worn by the second worker, the process of step S101 is started.

Further, the control unit 21 outputs a notification such as alerting or work stop to the first worker who has detected fatigue (step S206). The content of the notification may include information notifying that the support request to the second worker has been made. The output of the notification may be notified to, for example, the mobile terminal of the first worker, or may be notified by providing the wearable device 1 with a speaker or the like.

The control unit 11 of the wearable device 1 determines whether or not the measurement by the sensor 3 is completed (step S110). If it is determined that the measurement has not been completed (S110: NO), the process is returned to step S105, and the detection result of the sensor 3 is continuously acquired. There are various forms of work after that, but for example, when the second worker arrives, the first worker performs the subsequent work by a plurality of people. By reducing the burden on the first worker and securing replacement personnel, it is possible to complete the predetermined work.

Further, the first worker may take turns with the second worker to finish the work. It is possible to complete a predetermined work without exacerbating the fatigue of the first worker and by performing the work by the second worker to be replaced. The first worker finishes the work, and the wearable device 1 is removed from the first worker. The sensor 3 ends the measurement when the detection of the biological information is completed. When it is determined that the measurement by the sensor 3 is completed (S110: YES), the control unit 11 transmits the work history of the biological information and the fatigue value to the control unit 21 of the information processing device 2 by the communication unit 13 (S110: YES). Step S111).

The control unit 21 of the information processing device 2 receives the work history by the communication unit 23 (step S207). The control unit 21 stores the work history information such as the work end date and time, the work time, and the calculated reward together with the received biological information and the fatigue value in the work history DB 222 (step S208), and ends a series of processes.

According to the above configuration, since the wearable device 1 detects the fatigue value in real time based on the biological information of the worker, the work manager can manage the fatigue value of the worker. Further, when the fatigue value of the worker exceeds a predetermined level, information is output from the wearable device 1, so that the worker's fatigue does not worsen and the worker who can be replaced is requested to each other. The support makes it possible to complete the work.

(Second Embodiment)
In the second embodiment, a plurality of workers including the first worker and the second worker work in a group. In addition, each worker uses a terminal to send and receive information to and from the wearable device 1 and the information processing device 2.

FIG. 9 is a block diagram showing the configuration of the work management system 200 according to the second embodiment. The work management system 200 in the second embodiment includes a wearable device 1, an information processing device 2, and a terminal 6. The configurations common to those of the first embodiment are designated by the same reference numerals as those of the first embodiment, and detailed description thereof will be omitted.

The terminal 6 is a smartphone, a tablet terminal, or the like. The worker can send and receive information to and from the wearable device 1 and the information processing device 2 via the network N using the terminal 6.

The terminal 6 includes a control unit 61, a storage unit 62, a communication unit 63, a display unit 64, and an operation unit 65. The control unit 61 includes a processor such as a CPU and a GPU, and a memory and the like. The control unit 61 may be configured as one piece of hardware (SoC) in which a processor, a memory, a storage unit 62, and a communication unit 63 are integrated. The control unit 61 reads and executes the program 6P stored in the storage unit 62 to perform various information processing, control processing, and the like related to the terminal 6.

The storage unit 62 includes a non-volatile memory such as a flash memory. The storage unit 62 stores the program 6P and other data necessary for the control unit 61 to execute the process. The program 6P may be acquired from the outside by the communication unit 63 and stored in the storage unit 62.

The communication unit 63 is a communication module for performing processing related to communication. The control unit 61 can communicate via the network N by the communication unit 63.

The display unit 64 includes a display device such as a liquid crystal panel or an organic EL display. The operation unit 65 is an interface that accepts user operations, and includes physical buttons and a touch panel device with a built-in display. The operation unit 65 can accept operations on the screen displayed on the display unit 64 with physical buttons or a touch panel.

In the storage unit 22 of the information processing device 2 in the second embodiment, the work status DB 223 is stored in addition to the worker DB 221 and the work history DB 222. The work status DB 223 stores the work status of each worker when a plurality of workers work in a group.

FIG. 10 is an explanatory diagram showing an example of the record layout of the work status DB 223. The control unit 21 collects the work status of each worker and stores it in the work status DB 223. The work status of the worker may be input by the worker using the terminal 6 and the input information may be collected by the control unit 21 of the information processing device 2, or information processing may be performed based on the wearing status of the wearable device 1. The device 2 may specify the work situation.

As shown in FIG. 10, the work status DB 223 includes a worker ID column, a work status column, and a mutual evaluation column. The worker ID column stores worker identification information for identifying each worker. The work status column stores the work status of the worker (during work, during break, returning home, etc.) in association with the worker ID. The mutual evaluation column stores the mutual evaluation of the workers in association with the worker ID. Mutual evaluation is information that collects the results of mutual evaluation for each worker performed between workers after the work when the work is performed by a group of a plurality of people. In the example of FIG. 10, the mutual evaluation column stores the average score of the collected mutual evaluation results. The collection result of the mutual evaluation is stored in the work history DB 222. In the example of FIG. 10, the worker with the worker ID “001” stores the work status as “working” and the mutual evaluation as “5”. Note that FIG. 10 is an example, and the stored work status information is not limited.

11 and 12 are flowcharts showing an example of a processing procedure executed by the work management system 200 in the second embodiment. The same process as in FIG. 8 is assigned the same step number, and detailed description thereof will be omitted. Here, an example in which the control unit 11 of the wearable device 1, the control unit 21 of the information processing device 2, and the control unit 61 of the terminal 6 execute the following processes will be described, but the work manager executes some of the processes. You may.

Each worker starts working after wearing the wearable device 1. The control unit 11 of the wearable device 1 receives the worker information when the wearable device is attached (step S101), and authenticates the wearer's identity (step S102).

If the person is not authenticated (S103: NO), the control unit 11 terminates the process as the worker cannot work. When the person is authenticated (S103: YES), the control unit 11 transmits each worker information and the wearable device 1 information to the information processing device 2 by the communication unit 13 (step S104).

The control unit 21 of the information processing device 2 acquires the worker information and the wearable device 1 information by the communication unit 23 (step S201) and stores them in the worker DB 221 (step S202). The worker DB 221 stores the identification information of each worker and the wearable device 1 worn by each worker. The control unit 21 also stores information such as a work start date and time, work contents, workers, and work groups in the work history DB 222. Further, the control unit 21 stores the work status and the like in the work status DB 223.

When each worker wears the wearable device 1 and the work is started, the measurement is started by the sensor 3 that detects the biological information. The control unit 11 acquires the detection result from the sensor 3 by the input / output unit 14 (step S105), and specifies the fatigue value with reference to the fatigue value DB 121 (step S106). The control unit 11 determines whether or not the specified fatigue value is equal to or higher than a predetermined level (step S107). When it is determined that the fatigue value does not exceed the predetermined level (S107: NO), the control unit 11 returns the process to step S105 and subsequently acquires the detection result of the sensor 3.

On the other hand, when it is determined that the fatigue value exceeds a predetermined level (S107: YES), the control unit 11 outputs alert information to the information processing device 2 (step S108). Further, information is displayed on the display unit 4 of the wearable device 1 via the input / output unit 14 (step S109). In the work group, for example, the wearable device 1 of the first worker is lit, and other workers in the vicinity recognize the fatigue state of the first worker. The control unit 11 may output the alert information to the terminal 6 of a worker other than the first worker via the communication unit 13. The control unit 61 of the terminal 6 receives the alert information by the communication unit 63 and displays it on the display unit 64. Other workers in the group can recognize the fatigue state of the first worker on the display screen.

The control unit 21 of the information processing device 2 receives alert information regarding the first worker by the communication unit 23 (step S203). The control unit 21 stores information on the alert generation time in the work history DB 222. The control unit 21 identifies a substitute person who can perform the work on behalf of the first worker in which fatigue is detected (step S204). The control unit 21 may refer to the work status DB 223 and identify a person who can be replaced in the same group from the work status of another worker. The control unit 21 extracts the worker ID whose work status is “resting” from the work status DB 223. In this case, the control unit 21 performs matching based on the mutual evaluation between the workers, and preferentially identifies the replaceable person from the workers having the highest mutual evaluation.

The control unit 21 outputs a work instruction to the terminal 6 or the like of the second worker who can be replaced specified by the communication unit 23 (step S221). The second worker who receives the notification changes the work shift and starts the work. In the wearable device 1 worn by the second worker, the process of step S101 is started.

Further, the control unit 21 outputs a notification such as a warning or work stop to the terminal 6 of the first worker whose fatigue is detected by the communication unit 23 (step S206). The control unit 61 of the terminal 6 receives a notification such as a warning or work stop by the communication unit 63 (step S501). The content of the notification may include information notifying that the replacement request has been made to the second worker. The first worker can recognize his / her fatigued state and perform the subsequent work or stop the work.

The control unit 11 of the wearable device 1 determines whether or not the measurement by the sensor 3 is completed (step S110). If it is determined that the measurement has not been completed (S110: NO), the process is returned to step S105, and the detection result of the sensor 3 is continuously acquired. When it is determined that the measurement is completed (S110: YES), the control unit 11 transmits the work history to the control unit 21 of the information processing device 2 by the communication unit 13 (step S111).

The control unit 21 of the information processing device 2 receives the work history such as biological information and fatigue value by the communication unit 23 (step S207). The control unit 21 stores the work history information such as the work end date and time and the work time in the work history DB 222 together with the biological information and the fatigue value (step S208).

Then, in the second embodiment, the control unit 21 acquires mutual evaluation between the workers in the group from each worker after the work is completed. The control unit 21 creates mutual evaluation input screen information for accepting mutual evaluation input, and outputs the created mutual evaluation input screen information to the terminal 6 by the communication unit 23 (step S222).

The control unit 61 of the terminal 6 acquires the mutual evaluation input screen information by the communication unit 63 (step S502). The control unit 61 causes the display unit 64 to display the acquired mutual evaluation input screen information (step S503). The worker inputs a mutual evaluation of other workers who worked in the group based on the work attitude at the time of work, work efficiency, and the like. The control unit 61 acquires mutual evaluation information by operating the operation unit 65 (step S504). The control unit 61 transmits mutual evaluation information to the information processing device 2 by the communication unit 63 (step S505).

The control unit 21 of the information processing device 2 acquires mutual evaluation information by the communication unit 23 (step S223). The control unit 21 stores the mutual evaluation information in the work history DB 222 (step S224), and ends a series of processes.

FIG. 13 is a diagram showing an example of a screen that accepts input for mutual evaluation. The control unit 61 of the terminal 6 receives the mutual evaluation input screen information for accepting the mutual evaluation input by the communication unit 63. The screen information is displayed on the display unit 64 of the terminal 6. The input screen 641 displays the content of the completed work in text, and includes information on the workers who have performed the work in the same group and an evaluation selection icon 542 that accepts the evaluation for the workers. The mutual evaluation is input in five stages, for example, and the evaluation "5" is input by the evaluation selection icon 542 to the worker who feels that the work is easy to perform. For the worker who finds it difficult to perform the work, the evaluation "1" is input by the evaluation selection icon 542. The operator inputs by operating the operation unit 65. The control unit 61 transmits the acquired mutual evaluation information to the information processing device 2.

According to the second embodiment, the work history DB 222 stores the work results of each worker and the mutual evaluation between the workers as the work history information. The information stored in the database is displayed by the display unit 24. The work manager manages various information about the work based on the displayed contents. For example, it is possible to specify the work content suitable for each worker by referring to the alert generation status of the worker.

Further, when a plurality of workers perform work in a group, it is preferable to determine the work content based on the mutual evaluation information of the plurality of workers and the history. It is possible to perform matching among a plurality of workers and specify the work contents based on the history information including the work amount of the workers and the mutual evaluation between the workers stored in the work history DB 222.

The work history information can also be used to determine the reward. Based on the historical information, it is preferable to calculate the gradient distribution of the reward between the worker in which fatigue is detected and the substitute worker, and distribute the reward. For example, it is advisable to lower the remuneration unit price for workers in which fatigue is detected, and to make a gradient distribution so that the reduced remuneration unit price is increased to the workers who took turns working. In addition, the distribution of remuneration may be calculated based on mutual evaluation between workers. It is advisable to set a remuneration unit price corresponding to mutual evaluation and calculate the remuneration based on the working hours and the remuneration unit price.

In the above embodiment, when the fatigue value of the first worker exceeds a predetermined level, the control unit 11 of the wearable device 1 outputs an alert to the information processing device 2 to control the information processing device 2. Although the unit 21 is configured to specify a person who can be replaced, the unit 21 may be configured not to output an alert to the information processing device 2 but to display only on the display unit 4 of the wearable device 1. By notifying the surrounding workers of the fatigue state of the first worker, it is possible to complete the work of the first worker while assisting each other.

Further, the fatigue value for outputting alert information may have a configuration in which a plurality of threshold values are set. The wearable device 1 may output fatigue caution information before the alert information output when the fatigue value exceeds a predetermined level. Fatigue caution information is output, for example, when the fatigue value exceeds 80% of a predetermined level. By calling attention to the worker to whom the fatigue caution information is output, the surrounding workers can work without exacerbating the fatigue.

In addition, information other than the fatigue value may be output from the display unit 4 of the wearable device 1. For example, the storage unit 12 stores the work contents of the worker and the guideline of the work time in association with each other in the database. The control unit 11 may refer to the database and output the time excess information from the display unit 4 when the work time of the worker exceeds the guideline. In this case, it is preferable that the display unit 4 of the wearable device 1 is configured to output information regarding the excess of the reference time using a color different from the lighting color for displaying the fatigue value.

According to the above embodiment, work management can be performed by mutual support between workers. Even for human resources whose work reliability cannot be ensured individually, the management of the mutual support system will expand the possibilities of employment and lead to the securing of new human resources.

It should be noted that the embodiments disclosed as described above are exemplary in all respects and should not be considered restrictive. The technical features described in each example can be combined with each other and the scope of the invention is intended to include all modifications within the claims and scope equivalent to the claims. Will be done.

1 Wearable device 2 Information processing device 3 Sensor 4 Display unit 6 Terminal 11 Control unit (specific unit)
12 Storage unit 1P program 21 Control unit (acquisition unit)
22 Storage unit 24 Display unit 2P server program 221 Worker DB
222 Work history DB
61 Control unit 62 Storage unit 64 Display unit 6P program

Claims (12)

A sensor that is attached to a part of the worker's body and detects the worker's biological information,
A specific part that identifies the fatigue value based on the biological information detected by the sensor,
A wearable device including an output unit that outputs information that can be recognized by the surroundings when the specified fatigue value exceeds a predetermined level. The wearable device has a spectacle-shaped shape and has a spectacle-shaped shape.
The wearable device according to claim 1, wherein the sensor detects at least one of the worker's brain wave, pulse wave, and eye movement. The wearable device according to claim 1 or 2, wherein the information is lighting of a light source. The wearable device according to any one of claims 1 to 3, further comprising a transmitter that transmits information about the worker and information about the fatigue value to an external device when the fatigue value exceeds a predetermined level. .. A sensor that is attached to a part of the worker's body and detects the worker's biological information, a specific part that specifies a fatigue value based on the biological information detected by the sensor, and the specified fatigue value exceeds a predetermined level. A wearable device having an output unit that outputs information that can be recognized by the surroundings and a worker who wears the wearable device and works are stored in association with each other.
A work management method for acquiring information on the fatigue value. The work management method according to claim 5, wherein at least one of a support request and a notification to a worker is output when the fatigue value exceeds a predetermined level. Multiple said workers work,
The work according to claim 5 or 6, which stores the work time of each worker, the work content, the alert generation time, the mutual evaluation between workers, and the history of at least one type of information selected from the fatigue values. Management method. The work management method according to claim 7, wherein the work content of each worker is specified based on the history. Multiple said workers work in groups
The work management method according to claim 7 or 8, wherein the reward of each worker is distributed according to the history. The work management method according to any one of claims 5 to 9, wherein the worker is authenticated. Multiple said workers are working in groups
The output unit of the wearable device is configured to output information that can be seen by other workers when the fatigue value exceeds a predetermined level.
When the visible information is output from the output unit of the wearable device of the first worker working in the group, a work instruction is output to the second worker who is not performing the work in the group. The work management method according to any one of claims 5 to 10. A sensor that is attached to a part of the worker's body and detects the worker's biological information, a specific part that specifies a fatigue value based on the biological information detected by the sensor, and the specified fatigue value exceeds a predetermined level. A wearable device provided with an output unit that outputs information that can be recognized by the surroundings, and a storage unit that stores the worker wearing the wearable device in association with each other.
An information processing device including an acquisition unit for acquiring information on the fatigue value.

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