JP6943744B2 - Assistance decision device, method and program - Google Patents

Description

The present invention relates to a support determination device, a method and a program capable of determining the need for support by a supporter for a worker.

In Patent Document 1 as a work support-related technique, when there are a plurality of support methods while estimating the user's situation using sensor information or the like, the risk level and the importance level of each support method are compared to select the technology. We are narrowing down the support methods to be provided and prioritizing them.

Patent No. 06149458

Internet Homepage "Glossary Risk Analysis" May 17, 2016 https://www.newton-consulting.co.jp/bcmnavi/glossary/risk_analysis.html "Fatigue and Stress" Journal of the Society of Biomechanism, Vol.21, No.2 (1997) p.58-64 "Effects of changes in skin temperature due to different clothing conditions on body temperature reaction and thermal stress during exercise" Physical Fitness Science Vol.54 (2005) No.3, P259-268 Internet Homepage "Nursing roo! (Registered Trademark)> Nursing / Care> One Point Physiology> Average Skin Temperature and Average Body Temperature | Body Temperature and Its Regulation" November 13, 2016 https://www.kango-roo.com/sn / k / view / 2302 Internet homepage "What do you know from brain waves?" Retrieved November 20, 2017 http://www.digital-medic.com/waves/eeg "Relaxation effect measurement method using EEG feature extraction", 26th Fuzzy System Symposium (Hiroshima, September 13-15, 2010) Internet homepage, "Evaluation of relaxation by brain waves" http://hiroshi-t.com/relaxation-degree.html "Online learning data management mechanism in motion identification system from surface myoelectric potential", IEICE Transactions D Vol.J84-D2 No.12 (2001/12/01) pp.2634-2643

Here, the mode of providing support in the above-mentioned prior art is by executing a support program by a computer, and is not through humans. In other words, in the actual work site, it is possible that the computer alone may not always be sufficient to support the worker, so how to select a support source such as a computer or a person, and how to prioritize when providing support through a person. You should think about it.

However, in the prior art, efficient support provision through such a person is not considered, and there is a problem that it cannot be realized.

In view of the above problems, an object of the present invention is to provide a support determination device, a method and a program capable of determining the need for support by a supporter for a worker.

In order to achieve the above object, the present invention acquires work-related information from a worker terminal and / or its peripheral equipment possessed by a plurality of workers, and the risk level in each worker based on the acquired work-related information. Based on the risk level calculation unit that calculates the It is characterized by including a support mode determining unit for determining. It is also characterized in that the method and program correspond to the device.

According to the present invention, by calculating the risk level of each worker from the acquired work-related information, the need for support by the supporter for the worker is automatically determined in the form of whether or not to provide support by communication communication. Can be decided.

It is a block diagram of the support system which concerns on one Embodiment. It is a flowchart of the operation of the support system which concerns on one Embodiment. It is a functional block diagram of each component of the support system which concerns on one Embodiment. It is a functional block diagram for showing the detail of the individual processing contents of the related information acquisition part in a worker terminal and the risk level calculation part in a support decision apparatus.

FIG. 1 is a configuration diagram of a support system according to an embodiment. As shown in the figure, the support system 100 has m worker terminals 10-1, 10-2,…, 10 held by a plurality of m workers WK1, WK2,…, WKm, respectively. -m, support decision device 20, and n supporters SP1, SP2, ..., SPn of multiple n people (n = 1 may be used instead of multiple), respectively, n supporter terminals 30-1, It has 30-2,…, 30-n.

Further, as shown in the figure, mutual communication is possible between each device and terminal in the support system 100 via a network or the like, and the general flow of information exchange is as follows. The worker terminal 10-a of each worker WKa (a = 1,2,…, m) acquires the work-related information of the worker WKa and transmits it to the support determination device 20. Based on the received work-related information, the support determination device 20 provides instruction information regarding which supporter SPb (b = 1, 2, ..., N) is assigned to which worker WKa to support. The decision is made, and the instruction information and the like are transmitted to the supporter terminals 30-b of each supporter SPb. Assuming that it is the supporter SPb that should support the worker WKa in the instruction information, the worker terminal 10-a of the worker WKa who is the support side according to the instruction information Communication for support implementation has been established with the supporter terminal 30-b of the supporter SPb, which is the support side, and the video and audio of the site where the worker WKa exists and is performing the work is the worker. The supporter SPb, which is transmitted from the terminal 10-a to the supporter terminal 30-b and grasps the on-site situation by watching the video / audio, inputs the support information to the supporter terminal 30-b. The support information is transmitted to the worker terminal 10-a, and the worker WKa can carry out the work at the site with the support of the support information. Here, various modes of providing support information in multimedia (for example, audio, video, augmented reality display, etc.) are possible.

According to the present invention, in particular, the degree to which closer or more polite support is required for each worker based on work-related information is quantified as a risk level described later, and any of the workers with a high risk level is quantified. Give manual support by supporters, and give automatic support by augmented reality without giving manual support by supporters for workers with low risk level, or even lower risk level and support is unnecessary If so, it can be automatically decided not to give support. Therefore, even in a situation where m> n and there are n fewer supporters than m workers, the limited supporter human resources can be effectively utilized to provide economical and efficient support allocation. It will be possible to carry out automatically. Furthermore, the risk level can change from moment to moment as each worker's work progresses, and it is possible to efficiently allocate support in response to such changes.

FIG. 2 is a flowchart of the operation of the support system 100 according to the embodiment, and FIG. 3 is a functional block diagram of each component of the operating support system 100. In FIG. 3, the worker terminal 10 of the worker WKa is an arbitrary one of the m worker terminals of the support system 100 shown in FIG. 1, and the worker terminal 10 of the n supporter terminals is also shown. The supporter terminal 30 of the supporter SPb is shown as an optional unit. That is, the m-unit worker terminals 10-1, 10-2, ..., 10-m in FIG. 1 each have the configuration of the worker terminal 10 in FIG. 3 as a common functional configuration, and are shown in FIG. The n supporter terminals 30-1, 30-2, ..., 30-n each have the configuration of the supporter terminal 30 shown in FIG. 3 as a common functional configuration.

When explaining the exchange of information related to support between the worker terminal 10 and the supporter terminal 30 with reference to the functional block of FIG. 3, the supporter SPb supports the corresponding worker WKa. It is premised that the support decision device 20 has made a decision to determine that the above should be performed. If a decision to provide such support has not been obtained, there is no exchange of information related to support between the worker terminal 10 and the supporter terminal 30. In order to explain the transfer of the information, FIG. 3 depicts the flow of data transfer between the worker terminal 10 and the supporter terminal 30 on the premise that the support decision is obtained.

As shown in FIG. 3, the support system 100 includes a worker terminal 10 as any one of m units, a support decision device 20, and a supporter terminal 30 as any one of n units. , Equipped with. The worker terminal 10 includes a site information acquisition unit 11, a support provision unit 12, and a related information acquisition unit 13, and the support determination device 20 includes a related information reception unit 21, a risk level calculation unit 22, a weight calculation unit 23, and a support mode determination unit. 24, an instruction unit 25 and a storage unit 26 are provided, and the supporter terminal 30 includes an instruction information providing unit 31, a support information receiving unit 32, and a site information providing unit 33.

Hereinafter, the operation outline of each part of FIG. 3 will be described while explaining each step of FIG. It should be noted that the storage unit 26 of the support determination device 20 does not specifically operate in each step, but various information necessary for the operation of the support system 100 is stored in a database in advance and is required. The required information is appropriately provided to the required functional unit, and each required information will be described in the description of each functional unit. In FIG. 3, the flow arrow provided by the storage unit 26 to the functional unit that requires the necessary information is omitted from the viewpoint of preventing the drawing from becoming complicated.

In step S1, the related information acquisition unit 13 acquires work-related information related to the worker's work status, work environment, etc. in each of the worker terminals 10, and transmits the acquired work-related information to the support decision device 20. After receiving the work-related information of each worker terminal 10 in the related information receiving unit 21, the process proceeds to step S2. Here, the work-related information acquired in step S1 is obtained over a certain period of waiting by the waiting process until a predetermined timing is reached in the iterative control step S4 described later in the flow of FIG. 2 having a repeating structure. Although it can be assumed that it has been acquired, the work-related information may be acquired from a time point that goes back to a predetermined past time point to the present. The individual details of the work-related information will be described later.

In step S2, the support determination device 20 calculates the risk level of each worker WKa in each worker terminal 10 using the work-related information received in step S1 above, thereby supporting the worker WKa. After deciding, proceed to step S3. The step S2 can be specifically realized as follows by each part of the support determination device 20.

That is, in step S2, first, the risk level calculation unit 22 refers to the work-related information of each worker WKa received and obtained by the related information receiving unit 21, and the risk level of each worker WKa, which will be described in detail later. Is calculated. At this time, the weight calculation unit 23 also calculates the weight, which will be described in detail later, by referring to the work-related information of each worker received by the related information reception unit 21, and the calculated weight (every moment). The risk level of each worker WKa may be calculated by the risk level calculation unit 22 by also referring to (the weight that changes with). As another embodiment, the weight calculation unit 23 holds a fixed weight based only on the fixed work-related information that does not change from moment to moment among the work-related information, and the risk level calculation unit 22 Then, the risk level may be calculated using the fixed weight.

In step S2, the support mode determination unit 24 can further determine the support mode of each worker based on the risk level of each worker WKa calculated by the risk level calculation unit 22 as described above. The details of the decision will be described later, but in one example, a supporter is assigned to a worker with a high risk level so that the supporter (human) can provide direct support, and a worker with a medium risk level is provided with direct support. It is possible to provide support by mechanical automatic processing (program automatic processing) such as augmented reality display, and to decide to omit support for workers with a low risk level. The support mode determined by the support mode determination unit 24 is output to the instruction unit 25.

In step S3, the support determination device 20 gives an instruction according to the support mode determined in step S2 to each supporter terminal 30, so that the worker terminal 10 is supported via the supporter terminal 30. Then proceed to step S4. The step S3 can be specifically realized by the support decision device 20, the supporter terminal 30, the worker terminal 10, the corresponding supporter SPb, and the worker WKa as follows.

That is, in step S3, first, the supporter SPb is used by the instruction unit 25 with the allocation between the supporter SPb and the worker WKa according to the support mode determined by the support mode determination unit 24 in step S2 as instruction information. Output to the instruction information providing unit 31 of the supporter terminal 30. The instruction information providing unit 31 transmits the instruction information to the supporter SPb by displaying "the supporter SPb should support the worker WKa" as a text on the display, and receives the instruction information as the support information. It also outputs to unit 32. Here, it is assumed that the worker WKa has a high risk level and is determined to be directly supported by the supporter SPb.

In step S3, further, according to the received instruction information, the support information receiving unit 32 and the site information providing unit 33 in the supporter terminal 30 of the supporter SPb, and the support providing unit 12 and the site in the worker terminal 10 of the corresponding worker WKa. Establish communication with each of the information acquisition units 11. Through the established communication, the work support of the worker WKa can be realized by transmitting the work instruction from the supporter SPb to the worker WKa in the form of, for example, a two-way videophone which is an existing technology. .. Here, the work contents of all the workers including the worker WKa determined to be the support target are stored in advance in the storage unit 26 in the form of a work manual or the like in which predetermined work steps are sequentially described, and the storage unit. By managing, updating, and storing the current work step of the worker WKa in 26, the instruction information providing unit 31 supports the instruction information including the information of the current work step of the worker WKa in step S3. It is possible to convey the work steps of the current worker WKa to the person SPb in the form of a text or the like, and enable the support by the supporter SPb. In the case of such support, support by augmented reality display, which is an existing technology, may be used together.

Here, the site information acquisition unit 11 of the worker terminal 10 is configured to include a camera, a microphone, and the like as a hardware configuration, and by acquiring the video / audio of the worker WKa's work site, the video is concerned. -Send the voice to the site information providing unit 33 of the supporter terminal 30 of the supporter SPb. The site information providing unit 33 is configured to include a display, a speaker, etc. as a hardware configuration, and by reproducing the transmitted and received video / audio of the work site, the supporter SPb can be viewed. Allow the supporter SPb to grasp the status of the worker WKa.

The supporter SPb who grasps the situation inputs support information in the form of video, audio, etc. to the support information reception unit 32, which is configured to include a camera, a microphone, etc. as a hardware configuration, and the input support information is input. It is sent to the support providing unit 12 on the worker WKa side. As a hardware configuration, the support providing unit 12 including a display, a speaker, etc. reproduces the received support information and makes it available for viewing by the worker WKa, so that the worker WKa provides support from the supporter SPb. , It will be possible to receive support information in the form of viewing. The support information to be transmitted from the support information receiving unit 32 to the support providing unit 12 may be composed of only audio or only video, or may include instruction information in other formats. As the instruction information in other formats, if the display of the support providing unit 12 is composed of a see-through type head-mounted display, information such as a pointer shown on the display by the supporter SPb may be included. ..

For workers who do not need direct support from any of the supporters SPb and are determined to provide only support by augmented reality display, the support provision unit 12 configured as a see-through head-mounted display etc. will be responsible for the expansion. Support should be provided by displaying the reality. The superimposed display content for support by augmented reality display is stored in the storage unit 26 of the support decision device 20, and the content according to the work step is transmitted directly from the support decision device 20 to the support providing unit 12. Just do it. The flow of transmission and the like are omitted in FIG. 3 (Fig. 3 assuming the case of direct support by the supporter SPb). Regarding the update management of the work step, the support determination device 20 may receive and manage the information such as accepting the menu input and / or the annotation input of the work completion from the worker in the augmented reality display. Alternatively, by applying the image recognition process, which is an existing technology, to the camera image constituting the site information acquisition unit 11, it is automatically determined that each work step stored in the storage unit 26 has been completed. You may manage it. In addition, support by the augmented reality display may be provided in parallel for the worker WKa who needs direct support by the supporter SPb.

In step S4, the support determination device 20 is based on a clock that manages whether or not the predetermined timing has been reached (for example, whether or not 5 minutes have passed as the predetermined time) after the execution of the latest steps S1 to S3. If it is determined and reached, the process returns to step S1, the latest work-related information at that time is acquired, and the above processes of steps S1 to S3 are further continued. If the predetermined timing has not been reached in step S4, the support by the immediately preceding step S3 is continued while waiting in step S4 until the predetermined timing is reached.

As described above, the schematic operation of each functional unit of FIG. 3 has been described while explaining each step of FIG. Hereinafter, the details of the operation will be described with respect to the related information acquisition unit 13 in step S2, the risk level calculation unit 22 and the support mode determination unit 24 in step S3.

FIG. 4 shows the individual processing contents of the related information acquisition unit 13 in the worker terminal 10 and the risk level calculation unit 22 in the support determination device 20 for the detailed explanation, particularly the work-related information acquisition processing and the risk level calculation based on the individual processing contents. It is a functional block diagram concerning the details of processing.

As shown in the figure, the related information acquisition unit 13 acquires vital data and sends it to the vital evaluation unit 221 as a configuration for acquiring individual work-related information on the worker terminal 10 side and transmitting the individual work-related information to the support determination device 20 side. Vital data acquisition unit 131 to be transmitted, environmental data acquisition unit 132 to acquire environmental data and transmit it to the environment evaluation unit 222, and difficulty / importance evaluation unit 223 to acquire information related to the difficulty / importance of work. Acquires the difficulty / importance acquisition unit 133 to be transmitted to, the accuracy acquisition unit 134 to acquire the information related to the accuracy of the work and send it to the accuracy evaluation unit 224, and the information related to the continuity of failure of the work. It is provided with a failure continuity acquisition unit 135, which is then transmitted to the failure continuity evaluation unit 225.

Further, as shown in the figure, the risk level calculation unit 22 receives the vital information received from the vital data acquisition unit 131 as a configuration for receiving each related information acquired and transmitted by each of the above units 131 to 135 and calculating the corresponding risk level. The vital evaluation unit 221 that calculates the risk level based on vital data from the data, the environmental evaluation unit 222 that calculates the risk level based on the environmental data from the environmental data received from the environmental data acquisition unit 132, and the difficulty / importance acquisition unit 133. More accurate than the difficulty / importance evaluation unit 223 that calculates the risk level based on the difficulty / importance from the work difficulty / importance related information received from, and the work accuracy related information received from the accuracy acquisition unit 134. Accuracy evaluation unit 224 that calculates the risk level based on the degree, and failure continuity evaluation unit 225 that calculates the risk level based on the failure continuity from the related information of the failure continuity of the work received from the failure continuity acquisition unit 135. , Equipped with.

Further, as shown in the figure, the risk level calculation unit 22 receives each risk level calculated based on each related information in each of the above evaluation units 221 to 225, calculates the risk level as a total value of these, and calculates the risk level. A total value calculation unit 226 that outputs the calculated risk level to the support mode determination unit 24 as the final output from the calculation unit 22 is also provided. Further, the total value calculation unit 226 calculates the risk level as the total value as a value obtained by weighting each risk level by the weight using the weight obtained from the weight calculation unit 23.

In the configuration of FIG. 4, the related information and the like obtained by the acquisition units 131 to 135 constituting the related information acquisition unit 13 are directly transmitted to the evaluation units 221 to 225 constituting the risk level calculation unit 22. Although the related information receiving unit 21 shown in FIG. 3 is not drawn, the related information receiving unit 21 receives each related information obtained by each of the acquisition units 131 to 135 and then remains as it is without any special processing or the like. Since it is passed to each evaluation unit 221 to 225, drawing is omitted in FIG. From the same viewpoint, in the configuration of FIG. 4, the related information receiving unit 21 of FIG. 3 located between the related information acquisition unit 13 and the weight calculation unit 23 is also omitted. That is, the related information receiving unit 21 of FIG. 3 is a functional unit as a receiving interface in the support determination device 20 for related information and the like, and does not have a function of processing the related information and the like. doing.

As described above, as shown in the configuration of FIG. 4, the work-related information is roughly divided into five types, which are acquired by each acquisition unit 131 to 135, and the risk level according to each type is obtained by each evaluation unit 221-225. It is calculated, and the final risk level is calculated by the total value calculation unit 226 as the total value. In calculating the final risk level, instead of using all of the five types, only an arbitrary part thereof may be used. The headings (1) to (5) are given below to explain the details of the acquisition of the five types of related information and the calculation of the risk level based on the acquisition of the related information.

(1) Vital data acquisition unit 131 and vital evaluation unit 221 acquire the heart rate and respiratory rate of the worker, and then evaluate the stress level and health condition of the worker to calculate the risk level based on the vital data. It is possible to follow each of the following subdivision items (1-1) to (1 to 3). Here, the findings disclosed in Non-Patent Document 2 and the like are used.

(1-1) By configuring the vital data acquisition unit 131 with a heart rate sensor and a respiration sensor as a hardware configuration, the measured heart rate and respiration rate are acquired, and the vital evaluation unit 221 acquires the comfort level and stress of the operator. Assess the risk level by estimating the degree.

Here, assuming that the evaluation value based on the heart rate and the respiratory rate is P11, P11 becomes higher when the heart rate and the respiratory rate are higher than when it is stable, or when the heart rate and the respiratory rate are lower. In addition, since the heart rate and respiratory rate at stable time change depending on the gender, age, and individual differences of the worker, P11 is "(acquired data-acquired data at stable time) absolute value / (acquired data at stable time)". It can be calculated that the value fluctuates according to the value of, and the value becomes higher as it deviates from the stable state. Since the heart rate and the respiratory rate are data closely related to each other, either one may be used.

(1-2) By configuring the vital data acquisition unit 131 with a body temperature sensor and a sweating amount sensor as a hardware configuration, the body temperature, skin temperature, and sweating amount of the worker are acquired, and the vital evaluation unit 221 of the worker Assess risk levels by estimating comfort, health, and drowsiness. Here, the findings disclosed in Non-Patent Document 3 are used.

Assuming that the evaluation value based on body temperature, skin temperature, and sweating amount is P12, P12 becomes high when the body temperature, skin temperature, and sweating amount are higher or higher, or lower or lower than when the sweating amount is stable. In addition, since the body temperature, skin temperature, and sweating rate at stable time change depending on the gender, age, and individual differences of the worker, P12 is the absolute value of (acquired data-data at stable time) / (data at stable time). ) ”, As in the case of P11, it can be calculated that the value increases as it deviates from the stable state. According to the findings of Non-Patent Document 4 and the like, body temperature, skin temperature and sweating amount are closely related to each other, and therefore any one type of data may be used.

(1-3) By configuring the vital data acquisition unit 131 with an electroencephalogram sensor as a hardware configuration, brain waves (α wave, β wave, θ wave, etc.) are acquired, and the degree of relaxation of the worker in the vital evaluation unit 221. Assess risk levels by estimating tension / discomfort, anxiety / excitement, and drowsiness.

Here, we will make a unified guess in the form of "relaxation" rather than tension, etc., and use the findings listed below in the non-patent document 5 and others.
(First finding) When the frequency of β waves appearing higher than that of theta waves and α waves, the degree of relaxation R is low.
(Second finding) When the frequency of appearance of α waves is higher than that of θ waves and β waves, the degree of relaxation R is high.
(Third finding) When theta wave appears more frequently than usual, it is in a relaxed (somnolence) state, and the degree of relaxation R is low.

Further, utilizing the findings disclosed in Non-Patent Document 6 and the like, the degree of relaxation R is defined as follows and calculated by the vital evaluation unit 221 as intermediate data.
R = (k _θ G _θ + k _α G _α ) / (k _θ G _θ + k _α G _α + k _β G _β )
Gθ: Ratio of theta wave power of theta wave, α wave, and β wave, respectively, kθ: Weight coefficient
Gα: ratio of α wave power of theta wave, α wave, and β wave, respectively, kα: weighting coefficient
Gβ: ratio of β wave power of θ wave, α wave, β wave as a whole, kβ: weighting coefficient

Alternatively, it may be calculated from the definition formula of relaxation degree R = (alpha wave potential) / (β wave potential) based on the findings disclosed in Non-Patent Document 7 and the like.

As described above, the risk level based on the brain wave can be further calculated from the definition formula of P13 = (1-R) by using the relaxation degree R calculated by any of the above. Alternatively, in the same way with other definition formulas, it may be calculated so that the risk level decreases as the degree of relaxation R increases.

As described above, using the subdivided item evaluation values of (1-1) to (1-3), the vital evaluation unit 221 calculates the risk level P1 based on the final vital data as a weighted sum given by the following definition formula. can do. Here, W1j is a weight for the evaluation value P1j.
P1 = ΣW1jP1j (j = 1,…, 3)
In the above, all three subdivision items (1-1) to (1-3) are used, but only an arbitrary part thereof may be used.

(2) The following subdivision items (2-1) to (2-) are to calculate the impact of the environment on workers as a risk level after acquiring environmental data by the environmental data acquisition unit 132 and the environmental evaluation unit 222. It is possible as in 5). To put these in general terms, the risk level is calculated by estimating the degree of relaxation and stress of the worker based on the temperature, humidity, and atmospheric pressure around the worker as acquired data.

(2-1) Effect of ambient temperature If the evaluation value when the ambient temperature is tm is P21 (tm) and the predetermined temperature that people feel uncomfortable is tm0 or less and tm1 or more, it is determined to satisfy the following. The evaluation value P21 (tm) can be calculated using the function P21 (tm) of.
Regarding the acquisition temperature tm (that is, the temperature tm that does not feel unpleasant) that satisfies the conditions (tm0 ≤ tm and tm ≤ tm1), the evaluation value falls within the range that satisfies the following conditions.
That is, P21 (tm0) ≥ P21 (tm) and P21 (tm) ≤ P21 (tm1), which is less than or equal to the evaluation value at an unpleasant temperature.

(2-2) Effect of ambient humidity If the evaluation value when the ambient humidity is h is P22 (h) and the predetermined temperature that people feel uncomfortable is h0 or less and h1 or more, it is determined to satisfy the following. The evaluation value P22 (h) can be calculated using the function P22 (h) of.
Regarding the acquired humidity h (that is, the humidity h that does not feel unpleasant) that satisfies the conditions (h0 ≦ h and h ≦ h1), the evaluation value falls within the range that satisfies the following conditions.
That is, P22 (h0) ≥ P21 (h) and P22 (h) ≤ P22 (h1), which is less than or equal to the evaluation value at unpleasant humidity.

(2-3) Effect of ambient air pressure If the evaluation value when the ambient air pressure is ap is P23 (ap) and the predetermined atmospheric pressure that people feel uncomfortable is ap0 or less and ap1 or more, it is determined to satisfy the following. The evaluation value P23 (ap) can be calculated using the function P23 (ap) of.
Regarding the acquired atmospheric pressure ap (that is, the atmospheric pressure ap that does not feel unpleasant) that satisfies the conditions (ap0 ≤ ap and ap ≤ ap1), the evaluation value falls within the range that satisfies the following conditions.
That is, P23 (ap0) ≥ P23 (ap) and P23 (ap) ≤ P23 (ap1), which is less than or equal to the evaluation value at an unpleasant atmospheric pressure.

(2-4) Effect of ambient brightness (illuminance) The evaluation value when the ambient illuminance is il is P24 (il), and the predetermined illuminance that people feel uncomfortable (that is, hinder work) is il0 or less. And il1 or more, the evaluation value P24 (il) can be calculated using a predetermined function P24 (il) so as to satisfy the following.
Regarding the acquired illuminance il (that is, the illuminance il that does not feel unpleasant) that satisfies the conditions (il0 ≤ il and il ≤ il1), the evaluation value falls within the range that satisfies the following conditions.
That is, P24 (il0) ≥ P24 (il) and P24 (il) ≤ P24 (il1), which is less than or equal to the evaluation value under unpleasant illuminance.

(2-5) Effect of ambient sound (noise) The evaluation value when the loudness of the ambient sound is ns is P25 (ns), and the person feels uncomfortable (that is, the work is hindered). If the size is ns0 or less (that is, the work is hindered even if it is too quiet) and ns1 or more, the evaluation value P25 (ns) is used to satisfy the following. Can be calculated.
With respect to the acquired loudness ns (that is, the loudness ns that does not feel unpleasant) that satisfies the conditions (ns0 ≤ ns and ns ≤ ns1), the evaluation value is within the range that satisfies the following conditions. Become.
That is, P25 (ns0) ≥ P25 (ns) and P25 (ns) ≤ P25 (ns1), which is less than or equal to the evaluation value for unpleasant loudness.

As described above, using the subdivided item evaluation values of (2-1) to (2-5), the environmental evaluation unit 222 calculates the risk level P2 based on the final environmental data as a weighted sum given by the following definition formula. can do. Here, W2j is a predetermined weight for the evaluation value P2j.
P2 = ΣW2jP2j (j = 1,…, 5)
In the above, all of the five subdivision items (2-1) to (2-5) are used, but only an arbitrary part thereof may be used.

In addition, the environmental data acquisition unit 132 is configured to include a temperature sensor, a humidity sensor, a pressure sensor, an illuminance sensor, and a sound sensor (microphone) as its hardware configuration, thereby acquiring each of the above five types of environmental data. be able to.

(3) Acquisition of work difficulty / importance and risk level calculation based on this by the difficulty / importance acquisition unit 133 and the difficulty / importance evaluation unit 223 are subdivided into the following sub-items (3-1) to (3-3). ) Is possible. Here, the difficulty / importance acquisition unit 133 is involved in the process of providing support by the existing technology such as augmented reality display on the worker terminal 10 (support by the supporter may be added from the supporter terminal 30). It is assumed that information on which of the entire work content STj (j = 1,2, ..., N) as the flow of the worker and the current work step STj is acquired. The acquisition is possible by menu input and / or annotation input, video analysis and / or sensor information analysis from the operator as described above regarding support by augmented reality display or the like. (Although the support itself is omitted for workers who are judged by the support mode determination unit 24 that neither direct support by the supporter nor support by augmented reality display is necessary, information on such work status The acquisition is carried out on the worker terminal 10.) The difficulty / importance evaluation unit 223 can calculate the risk level according to the following subdivision items (3-1) to (3-3) based on the information. Information on the entire work content STj (j = 1,2, ..., N) and information for calculating the risk level according to the following subdivided items (3-1) to (3-3) are registered in advance in the storage unit 26. You can use what you have saved.

(3-1) Evaluation based on the difference in difficulty of work steps For example, the entire work content includes 3 steps ST1, ST2, and ST3, each of which requires a single cable.
i) In step ST1, join to one of the three connectors
ii) In step ST2, connect to the predetermined connector of the three connectors.
iii) In step ST3, if the content is to connect to a fixed connector based on the working conditions, the difficulty level increases in the order of step ST3>ST2> ST1.
Therefore, when the evaluation value based on the difficulty level of step ST is P31 (ST).
The risk level may be calculated by setting the evaluation value P31 (ST) so that P31 (ST3) ≥ P31 (ST2) and P31 (ST2) ≥ P31 (ST1).

More generally, information on the evaluation value P31 (ST) according to the content of the step ST is prepared as table data in advance so that the higher the difficulty level of the step ST, the larger the evaluation value P31 (ST) based on the difficulty level. Therefore, the evaluation value of the risk level based on the difficulty level may be calculated by referring to the table data.

(3-2) Evaluation based on the difference in importance of work steps For example, the entire work content includes 3 steps ST1, ST2, ST3, and the work process is determined by assembly work, etc.
i) Failure in step ST1 has little effect on subsequent steps.
ii) Even if you fail in step ST2, you still have a chance to recover.
iii) If you fail in step ST3, there is no chance of recovery.
In this case, the difference in importance between steps can be set as ST3>ST2> ST1.
Therefore, when the evaluation value based on the importance of step ST is P32 (ST).
The risk level may be calculated by setting the evaluation value P32 (ST) so that P32 (ST3) ≥ P32 (ST2) and P32 (ST2) ≥ P32 (ST1).

More generally, information on the evaluation value P32 (ST) according to the content of the step ST is prepared as table data in advance so that the higher the importance of the step ST, the larger the evaluation value P32 (ST) based on the importance. Then, the evaluation value of the risk level based on the importance may be calculated by referring to the table data.

(3-3) Evaluation considering changes in difficulty due to repetition of the same work The work process is composed of repetition of the same or similar work α, and r0, r1 are thresholds for the number of work executions that satisfy the condition of r0 <r1. And. The average number of executions r0 is required to acquire the work α, and if the average number of executions exceeds r1 after acquisition, the worker will become accustomed to it, and the evaluation value is calculated using the function P33 as shown below. be able to.

That is, if the evaluation value when the number of implementations is r is P33 (r),
● In the first case where the range of r satisfies the condition (r <r0)
P33 (r)> P33 (r0), and P33 (r) decreases as r increases.
This is set so that the risk decreases as the number of times increases from the first time to the r0 time.
● In the case of the second case, which does not correspond to the first case and the range of r satisfies the condition (r0≤r and r <r1)
P33 (r) matches P33 (r0). That is, the value P33 (r0) is taken as a constant value.
This sets the risk to be constant from the r0th time to before the r1st time.
● If neither the first nor the second case applies, that is, if r ≧ r1
P33 (r) shall be less than P33 (r1).
This is set as a risk less than the fixed value in the above second case after the first r.

Note that this evaluation value is not the number of times the same work α is performed, but the total time t or the current step is the number n of the whole, and the evaluation value is set to P33 (t) or P33 by the same function P33. It may be calculated as (n). At work sites where the worker levels are the same, r0 and r1 may be calculated based on the working hours of all workers.

In the difficulty / importance acquisition unit 133, the acquisition of information on the number of repetitions r of the same or similar work α, the total execution time t, or the number n of the entire current step is related to support by augmented reality display, etc. As described above, it can be acquired by menu input and / or annotation input, video analysis and / or sensor information analysis from the operator. At this time, information on which of the entire work content STj (j = 1,2, ..., N) as the flow of the worker and the current work step STj is acquired, and the current work step STj It is possible to distinguish which of the same or similar operations α = α1, α2, ... Can exist in a plurality of types, and obtain the number of repetitions r (α) and the like in the type α. Information on the same or similar work α may be stored in advance in the storage unit 26, and the number of repetitions r (α) as the actual value at the present time may be updated and stored and managed. The difficulty / importance evaluation unit 223 can calculate the risk level as the function value by inputting the acquired r, t, n, etc. as variables in the predetermined function P33.

As described above, using the subdivided item evaluation values of (3-1) to (3-3), the difficulty / importance evaluation unit 223 defines the risk level P3 based on the final difficulty / importance related information as follows. It can be calculated as a weighted sum given by the formula. Here, W3j is a predetermined weight for the evaluation value P3j.
P3 = ΣW3jP3j (j = 1,…, 3)
In the above, all three subdivision items (3-1) to (3-3) are used, but only an arbitrary part thereof may be used.

(4) The accuracy acquisition unit 134 and the accuracy evaluation unit 224 acquire the relevant information on the accuracy of the work, and the risk level is calculated based on this subdivided items (4-1) and (4-2). It is possible like. Here, by using various sensors and the like specifically described below as the hardware configuration of the accuracy acquisition unit 134, the position of the worker and the work content are estimated, and the difference from those values of the work for the purpose of support is determined. The measurement is performed and the evaluation value is calculated by the accuracy evaluation unit 224.

(4-1) As an example of the measurement mode is disclosed in Non-Patent Document 8, the work content of the related part can be recognized by measuring the movement of the muscle using the myoelectric potential sensor which is an existing technique. .. By analyzing the data acquired by the myoelectric potential sensor in advance and creating a database, the acquired data is associated with the specific operation, and the correctness of the operation during work is determined. When the evaluation value for correctness of the operation is P41 ・ If it matches the expected operation, P41 = 0 (no risk)
・ If the operation does not match the expected operation, P41 = 1 (at risk)
The evaluation value may be calculated from the definition of.

That is, the accuracy acquisition unit 134 may acquire the myoelectric potential sensor output, and the accuracy evaluation unit 224 may calculate the evaluation value from the myoelectric potential sensor output using a predetermined calculation formula (including those by machine learning or the like). As a specific example, it is effective to make the network operation and maintenance site recognize, for example, an operation of pulling out a cable, an operation of pointing, an operation of turning a screw to the right, an operation of turning to the left, and the like. In the accuracy acquisition unit 134, as described above, regarding support by augmented reality display, etc., menu input and / or annotation input and video analysis from workers (including workers who are judged to be unnecessary for any support) and video analysis are performed. / Or by sensor information analysis, etc., obtain information on which is the current work step STj in the entire work content STj (j = 1,2, ..., N) as the flow of the worker, and be accurate. The degree evaluation unit 224 may perform evaluation according to the content of the work step.

(4-2) Position and movement of workers by using existing technologies such as wifi (registered trademark) and BLE (Bluetooh (registered trademark) Low Energy), acceleration sensor, gyro sensor, geomagnetic sensor, and ultrasonic beacon. Estimate the route and travel speed. Further, the accuracy evaluation unit 224 evaluates the difference between the position of the worker calculated from the measured values of the above sensors and the position where the worker should originally exist, and the evaluation value P42 is increased as the difference increases. You can calculate to increase it.

It should be noted that the information on the position where the worker should originally exist corresponding to the current work step STi may be stored in advance in the storage unit 26.

As described above, using the subdivided item evaluation values of (4-1) and (4-2), the accuracy evaluation unit 224 gives the risk level P4 based on the final accuracy-related information by the following definition formula. It can be calculated as a weighted sum. Here, W4j is a predetermined weight for the evaluation value P4j.
P4 = ΣW4jP4j (j = 1,2)
In the above, all of the two subdivision items (4-1) and (4-2) are used, but only an arbitrary part thereof may be used.

(5) The failure continuity acquisition unit 135 and the failure continuity evaluation unit 225 can acquire the failure continuity of work and calculate the risk level evaluation value based on this as follows.

First, the degree of failure continuity as an evaluation target is based on the following considerations. That is, in the cases a to c listed below, it is considered that a certain work is not completed and a delay occurs in the work.
The content of support is not clear to the worker.
b. Workers are not good at certain operations and cannot perform them as instructed forever.
c. Have a functional handicap such that the worker cannot see or hear.

In the cases a to c above, the worker's failure will continue and he / she is in a state where he / she should be actively supported. Therefore, such a state is quantified as having a high risk level from the viewpoint of the degree of failure continuity. Specifically, it is as follows.

Here, let term0 and term1 be the threshold value for the work time satisfying the condition of term0 <term1, and let t be the duration after the worker p starts the work α. Here, the threshold values term0 and term1 are prepared as predetermined threshold values corresponding to the following contents. That is, the average time until the worker p succeeds in the same or similar work as the work α under the same conditions is term0, and the execution time that the worker p cannot expect to complete by himself even if he continues for this time. Let the average time be term1. According to the threshold value, the evaluation value of the risk level from the viewpoint of the failure continuity can be calculated by the failure continuity evaluation unit 225 as a function P5 (t) of the duration t by a predetermined function P5 having the following properties. can.

If duration t <term0, then
The value of P5 (t) depends on the skill of the worker.
For workers with low skills who continue to work after term 0
P5 (t) <P5 (term0)
For workers with high skills who finish their work before term0
P5 (t)> 0
If the duration term0 ≤ t, only low-skilled workers will continue to work.
Duration t0, t1,
When (term0 ≤ t0 and t0 ≤ t1 and t1 <term1)
P5 (term0) ≤ P5 (t0) and P5 (t0) ≤ P5 (t1) and P5 (t1) ≤ P5 (term1)
When the duration t ≧ term1
P5 (t) = P5 (term1). Here, the constant value P5 (term1) is the maximum level of the evaluation value.
If the worker's skill is low or high, it may be registered in advance.
Judgment may be made from the work history.

It should be noted that the thresholds term0 and term1 may be stored in the storage unit 26 according to the current work step α. In the failure continuity acquisition unit 135, as described above, regarding support by augmented reality display, etc., menus and / or annotation input, video analysis, and / or It is possible to acquire information on the entire work content and the current work step α by sensor information analysis or the like, and it is also possible to acquire the elapsed time t by using the timekeeping function of the clock.

The evaluation value P5 may be calculated by paying attention to the number of times of continuous execution n instead of the duration t of the same work α. The number of times n can be acquired by the failure continuity acquisition unit 135 in the same manner as the acquisition of the elapsed time t. Further, in a work site where the level of workers is the same, term0 and term1 may be calculated based on the working hours of all workers.

From the above, after obtaining the evaluation value P5 as the value P5 _{before weighting [before weighting]} , the failure continuity evaluation unit 225 weights the final value P5 _{[weighting] of the risk level based on the failure continuity of the operation. After]} can be calculated as follows. W5 is the weight for the evaluation value P5.
P5 _{[after weighting]} = W5P5 _{[before weighting]}

As described above, with respect to the detailed configuration of FIG. 4, the calculation details of the evaluation values P1 to P5 of the five types of risk levels based on each related information have been described. The total value calculation unit 226 can calculate the final risk level P as the weighted sum of these evaluation values as follows. Wi is a weight with respect to the evaluation value Pi, and a variable value (value that changes from moment to moment) or a fixed value (value that does not change) obtained from the weight calculation unit 23 described below can be used.
P = ΣWiPi (i = 1, .. 5)

Hereinafter, the details of the weight calculation unit 23 and the support mode determination unit 24 will be described.

In the weight calculation unit 23, the risk level calculation unit 22 can perform an appropriate risk level calculation according to the current situation of the work site or the worker to be supported by any of the following settings 1 to 5. That is, the weight Wi for the evaluation value Pi (i = 1, ..., 5) is adjusted as follows according to the work environment and the tendency of the worker.

(Setting 1) If there are many workers who are vulnerable to stress such as depressed patients, set W1> Wi (i = 2,3,4,5). That is, the risk level is calculated by placing more importance on vital data than other items.

(Setting 2) W2> Wi (i = 1,) when deciding the support method and priority for support with an emphasis on environmental conditions for places with severe environmental conditions such as heat and cold such as construction sites. Set as 3,4,5).

(Setting 3) Most of the processes are operations that can be completed by the operator alone, and in rare cases where important or difficult operations are included, in order to prevent the operator from becoming a risky state due to carelessness. Set W3> Wi (i = 1,2,4,5).

(Setting 4) In an environment where it is difficult for the operator to judge the success or failure and accuracy of the work result alone, set W4> Wi (i = 1,2,3,5) with an emphasis on the judgment of accuracy. ..

(Setting 5) If you want to prevent the operator from continuing to stumble in the same work, set W5> Wi (i = 1, ..., 4).

Note that each of the above settings (setting 1) to (setting 5) is weighted by adopting one of the settings on the premise that the work environment and the tendency of the worker are fixed in the entire work progress. A fixed weight was set in part 23. As another embodiment, the weight calculation unit 23 calculates the weight that changes from moment to moment in order to appropriately deal with the case where the work environment and the tendency of the worker change along with the work progress. You may.

For example, the embodiment is suitable when the stress state (setting 1) of the worker changes depending on the environmental condition (setting 2) of the workplace. Specifically, even if the values of the weight Wi for the evaluation value Pi and the weight Wij (i = 1,2,3,4,5) for the evaluation value Pij are changed each time data is acquired from the worker terminal. good. That is, the weight Wi and the weight Wij itself may be calculated as the value of a predetermined function (multivariable function) in which all of the individual evaluation values Pij are variables as shown in the following equation. The function may be set as reflecting which of (setting 1) to (setting 5) is emphasized in response to changes in the environment and the like.
Wi = Wi ({Pij | i = 1,2,3,4,5})
Wij = Wij ({Pij | i = 1,2,3,4,5})
In the above equation, the weight Wi and the weight Wij have all of the individual evaluation values Pij as variables, but only any part of them may be variables. In particular, any part of the individual evaluation values Pkj, Plj for calculating at least two of the corresponding five weighted evaluation values Pi (i = 1,2,3,4,5) is used as a variable. It may be something to do.
In addition, in the above formula, the evaluation value Pij is used even when i = 5 from the viewpoint of unifying the formula notation, but in the case of i = 5, "(5) Failure continuity acquisition unit 135 and failure continuity evaluation unit 225". As mentioned above, there is only one evaluation value P _{[before weighting],} and there is only one "j" in the notation of "Pij".

In addition, the following is also mentioned as a suitable other specific example of the embodiment. Wi and Wij (i = 1,2,3, The values of 4 and 5) may be changed according to the step and the time from the start of the work in consideration of the importance of the step, the frequency of error occurrence, and the degree of influence on each worker.

The support mode determination unit 24 can determine the support mode for the worker i as follows based on the risk level P [i] calculated for each worker i. That is, by setting 0 <Pα <Pβ, Pα as the minimum risk level when providing support by computer, and Pβ as the minimum risk level when providing support by a person, it is determined as follows. do it.
・ When 0 ≤ P [i] <Pα, it is decided not to provide support to worker i.
-When Pα ≤ P [i] <Pβ, it is determined that the worker i is to be automatically provided with the automatic support incorporated in the work support system 100 in advance. For example, the support by the augmented reality display described above can be provided via the worker terminal 10. The content for providing support by the augmented reality display may be stored in advance in the storage unit 26 or the like, and may be transmitted from the support determination device 20 to the worker terminal 10.
-When Pβ ≤ P [i], the worker i decides to receive flexible support from the supporter. That is, it is determined that communication is established between the worker terminal 10 and the supporter terminal 30 so that the flexible support is provided from the supporter to the worker i.

Therefore, if there are M waiting supporters (supporters who are ready to provide support) and N workers i who satisfy Pβ ≤ P [i], the overall support is as follows. The aspect can be determined.
・ When M ≧ N, support is provided to all workers i who satisfy Pβ ≦ P [i] through a supporter.
・ When M <N, in order of the magnitude of risk level P [i], work support through supporters is provided to M workers on the upper side, and (NM) on the lower side. For workers, automatic support is provided by the work support decision device.

As described above, according to the present invention, the following effects can be obtained.
-Resolve the problem of shortage of workers, especially skilled workers, at the work site by encouraging the provision of support by supporters.
-Since the support determination device 20 quantifies the necessity of support for a plurality of sites where a plurality of workers are present as a risk level and determines the support mode, the supporter can efficiently support the work site.
-When remote support is provided to multiple sites with a small number of supporters, the sites that require support will be preferentially designated, reducing the workload of the supporters.

Hereinafter, explanatory supplements in the present invention will be described.

(Supplement 1) Regarding consideration of the coupling effect between the worker and the supporter As an additional process in the risk level calculation unit 22, the following may be performed. That is, if there is almost no difference in the risk level between workers who satisfy Pβ ≤ P [i] and require work support through a person, the threshold value (for example, the variance of the risk level is below the threshold value). In the case of (judgment by), the calculated risk level is corrected so that the calculated risk level becomes a higher value so that the worker who can be expected to have a higher effect of the support through human beings is preferentially supported.

Specifically, a highly effective worker is
(Condition 1) A worker who has a high support effect regardless of the selection of supporters. That is,
-A worker who, after receiving work support through a person, significantly reduces the number of failures and operation time in the same or similar work.
-Workers who make significant mistakes or reduce work time in general work after receiving work support through humans.
-Usually, highly skilled workers who can complete most of the work on their own.
(Condition 2) A worker who has a high support effect only for a specific supporter. For example, after the supporter pi assists the worker pj, the number of failures and the work time of the worker pj in the same or similar work as the supported work is significantly reduced, or in the whole work. If the number of mistakes or work time is significantly reduced
For the supporter pi, the worker pj is a worker with a high support effect.

The individual characteristic data of the worker and / or the supporter and the individual compatibility data between the worker and the supporter regarding the above conditions 1 and 2 are stored in advance in the storage unit 26 as personal data. By referring to the data, the risk level calculation unit 22 can correct the risk level in consideration of the coupling effect. For example, assuming that (Condition 1) is used as an evaluation standard and quantified in advance by manual work by an administrator or the like, the support effectiveness level EFF [i] ≥ 0 for each worker i (that is, support as the effect level by giving support). By memorizing the effectiveness), the risk level can be corrected as follows.
P [i] _{(after correction)} = P [i] _{(before correction)} + c ・ EFF [i] where c> 0 is the correction coefficient.
Similarly, by using (Condition 2) as an evaluation criterion, the degree of compatibility between the worker i and the supporter j CPL [i, j] ≥ 0 (that is, the dependence of the supporter j in the above support effectiveness level). By memorizing (compatibility as a value including sex), the following correction value may be used in determining the worker i to be assigned to the supporter j.
P [i] _{(after correction)} = P [i] _{(before correction)} + d ・ CPL [i, j] where d> 0 is the correction coefficient.

(Supplement 2) Each of the worker terminal 10, the support decision device 20, and the supporter terminal 30 can be realized as a computer having a general configuration. That is, a CPU (Central Processing Unit), a main storage device that provides a work area for the CPU, an auxiliary storage device that can be configured with a hard disk, SSD, etc., an input interface that receives input from users such as a keyboard, mouse, touch panel, etc., and a network. Each device can be configured by a general computer such as a communication interface for connecting to and communicating with, a display for displaying, a camera, and a bus connecting them. Further, the processing of each part of each device shown in FIG. 2 can be realized by a CPU that reads and executes a program that executes the processing, but any part of the processing can be performed by a separate dedicated circuit or the like (GPU). Including) may be realized. The worker terminal 10 is configured to be provided with sensors that have been described in detail, and is further equipped with one or more wearable terminals (smart glasses, a head-mounted display, a wristband capable of measuring heartbeat, etc.), and is wireless. The data of the wearable terminal may be aggregated and transmitted to the computer.

(Supplement 3) For video, audio, etc. when support is provided from the supporter to the worker by two-way communication between the worker terminal 10 and the supporter terminal 30, the support determination device 20 is between the terminals 10 and 30. It may be relayed by.

(Supplement 4) Regarding the related information acquisition unit 13 provided in the worker terminal 10 described with reference to FIGS. 3 and 4, the related information acquisition unit 13 may not necessarily be provided in the worker terminal 10 depending on the type of related information. For example, the environmental data acquisition unit 132 of the related information acquisition unit 13 shown in FIG. 4 may be acquired by peripheral equipment such as a sensor in the vicinity of the worker terminal 10. In addition, any part or all of each of the acquisition units 131 to 135 of the related information acquisition unit 13 of FIG. 4 may be mounted on peripheral equipment as an external configuration that is not provided in the worker terminal 10 itself. However, when calculating the risk level in each evaluation unit 221 to 225 of the corresponding risk level calculation unit 22, the calculation is performed after identifying which worker the related information acquired in the external configuration belongs to. Each acquisition unit 131 to 135 of the external configuration shall transmit information on which worker the acquired related information belongs to to each evaluation unit 221-225 so that it can be performed. Alternatively, similarly, each acquisition unit 131 to 135 of the external configuration transmits the acquired related information to the corresponding worker terminal 10 by, for example, short-range wireless communication, and then further transmits the related information from the worker terminal 10. It may be transmitted to the related information receiving unit 21 of the support decision device 20.

For example, when a worker using the worker terminal 10 exists in a certain room, the temperature or the like obtained by a thermometer provided in the room may be used. In this case, another worker terminal may be used in the same room. If there are other workers who use 10, the same thermometer may be used to obtain the temperature (room temperature) corresponding to the two workers as the same value.

100 ... support system, 10 ... worker terminal, 20 ... support decision device, 30 ... supporter terminal
22 ... Risk level calculation department, 24 ... Support mode determination department

Claims (14)

Risk of acquiring work-related information including vital data of workers from worker terminals and / or peripheral equipment owned by multiple workers, and calculating the risk level for each worker based on the acquired work-related information. Level calculation unit and
Based on the calculated risk level, a support mode determination unit that determines whether or not to provide support to each worker by communication communication with the supporter via the worker terminal and the supporter terminal. Prepare,
In the support mode determination unit, among a plurality of workers, the worker having a high calculated risk level is prioritized and determined as a target to be provided with the support by the communication communication .
The acquired work-related information includes environmental data in which the worker is placed, information related to the difficulty / importance of the work performed by the worker, and information related to the accuracy of the work performed by the worker. At least one of the failure continuities of the work being done by the worker is further included,
In the acquired work-related information, as information related to the difficulty / importance of the work performed by the worker, the acquisition information analysis of the sensor installed in the worker terminal and / or its surroundings, and the worker in the worker terminal Information that is linked in advance to the work content determined from at least one of the acquisition and analysis of surrounding images and the operator's operation on the worker terminal is included.
The risk level calculation unit
The first evaluation, in which the higher the difficulty level of the work content, the higher the risk level.
The second evaluation, in which the higher the importance of the work content, the higher the risk level, or
Regarding the same or similar work in the work content, in the first case where the number of times the work is performed is less than the 0th threshold value (r0), the risk level is increased as the number of times of the work is increased, which corresponds to the first case. In the second case where the number of times the work is performed is less than the first threshold value (r1) which is larger than the 0th threshold value, the risk level is set to a constant value, and the risk level is set to a constant value, which does not correspond to the first or second case. In the third case where the number of times the work is performed is equal to or greater than the first threshold value, the third evaluation of lowering the risk level below the constant value,
A support determination device for calculating the risk level using at least two evaluations including the first evaluation or the second evaluation and the third evaluation. Risk of acquiring work-related information including vital data of workers from worker terminals and / or peripheral equipment owned by multiple workers, and calculating the risk level for each worker based on the acquired work-related information. Level calculation unit and
Based on the calculated risk level, a support mode determination unit that determines whether or not to provide support to each worker by communication communication with the supporter via the worker terminal and the supporter terminal. Prepare,
In the support mode determination unit, among a plurality of workers, the worker having a high calculated risk level is prioritized and determined as a target to be provided with the support by the communication communication .
The acquired work-related information includes environmental data in which the worker is placed, information related to the difficulty / importance of the work performed by the worker, and information related to the accuracy of the work performed by the worker. At least one of the failure continuities of the work being done by the worker is further included,
The acquired work-related information includes at least one of the worker's myoelectric potential data or position information acquired by the sensors provided in the worker terminal as the information related to the accuracy of the work performed by the worker. NS,
The risk level calculation unit
When the operator's myoelectric potential data is included in the information related to the accuracy of the work, the myoelectric potential data is analyzed to determine whether or not the operation matches the expected operation, and if they do not match. Calculate the risk level higher than if it matches
When the position information of the worker is included in the information related to the accuracy of the work, the risk level is calculated higher as the difference between the position and the position where the worker should originally exist becomes larger. Support decision device. Risk of acquiring work-related information including vital data of workers from worker terminals and / or peripheral equipment owned by multiple workers, and calculating the risk level for each worker based on the acquired work-related information. Level calculation unit and
Based on the calculated risk level, a support mode determination unit that determines whether or not to provide support to each worker by communication communication with the supporter via the worker terminal and the supporter terminal. Prepare,
In the support mode determination unit, among a plurality of workers, the worker having a high calculated risk level is prioritized and determined as a target to be provided with the support by the communication communication .
The acquired work-related information includes environmental data in which the worker is placed, information related to the difficulty / importance of the work performed by the worker, and information related to the accuracy of the work performed by the worker. At least one of the failure continuities of the work being done by the worker is further included,
In the acquired work-related information, as information related to the degree of failure continuity of the work performed by the worker, the acquisition information analysis of the sensor installed in the worker terminal and / or its surroundings, and the worker's surroundings in the worker terminal Includes the work duration in the work content determined from at least one of the acquisition and analysis of the video of the worker and the worker's operation on the worker terminal.
The risk level calculation unit refers to workers who are considered to have low skills.
In the case of the first time case in which the work duration is less than the 0th time threshold (term0), the value of the work duration factor at the risk level is calculated as a value lower than the 0th risk value.
In the case of the second time case, which does not correspond to the first time case and the work continuation time is less than the first time threshold (term1) larger than the 0th time threshold, it is a value equal to or more than the 0th risk value. As a value that increases as the work duration increases, the value of the work duration factor at the risk level is calculated.
In the case of the first time case or the third time case that does not correspond to the second time case, the support determination device is characterized in that the value of the work duration factor at the risk level is calculated as the maximum value. Risk of acquiring work-related information including vital data of workers from worker terminals and / or peripheral equipment owned by multiple workers, and calculating the risk level for each worker based on the acquired work-related information. Level calculation unit and
Based on the calculated risk level, a support mode determination unit that determines whether or not to provide support to each worker by communication communication with the supporter via the worker terminal and the supporter terminal. Prepare,
In the support mode determination unit, among a plurality of workers, the worker having a high calculated risk level is prioritized and determined as a target to be provided with the support by the communication communication .
The acquired work-related information includes environmental data in which the worker is placed, information related to the difficulty / importance of the work performed by the worker, and information related to the accuracy of the work performed by the worker. At least one of the failure continuities of the work being done by the worker is further included,
The acquired work-related information includes one item of the worker's vital data, environmental data in which the worker is placed, information related to the difficulty / importance of the work performed by the worker, and the worker. Includes at least two items, with at least one of the four items: related information on the accuracy of the work being done, and the degree of failure continuity of the work being done by the worker.
The risk level calculation unit calculates a risk level as a weighted sum of at least two items, and uses a value of a predetermined function with at least the two items as variables as the weight of the weighted sum . Risk of acquiring work-related information including vital data of workers from worker terminals and / or peripheral equipment owned by multiple workers, and calculating the risk level for each worker based on the acquired work-related information. Level calculation unit and
Based on the calculated risk level, a support mode determination unit that determines whether or not to provide support to each worker by communication communication with the supporter via the worker terminal and the supporter terminal. Prepare,
In the support mode determination unit, among a plurality of workers, the worker having a high calculated risk level is prioritized and determined as a target to be provided with the support by the communication communication .
In the risk level calculation unit, the risk level for each worker calculated based on the acquired work-related information is further stored in advance for each supporter and each pair of workers, and the supporter is the worker. A support determination device characterized in that correction is made based on the value of the degree of effectiveness by giving support to the person, and the correction is made so that the higher the degree of effect is, the higher the risk level is. According to any one of claims 1 to 5, the risk level calculation unit calculates the risk level as a value so that the vital data acquired from the worker deviates from the vital data acquired at the time of stability. The described support decision device. Further, the support mode determination unit provides predetermined support information based on the calculated risk level for the workers who have not been determined as the target to be provided by the communication communication among the plurality of workers. It is determined whether or not to give the automatic support based on the worker terminal via the worker terminal, and the worker having the calculated high risk level is prioritized and determined as the target to be given the automatic support based on the predetermined support information. The support determination device according to any one of claims 1 to 6, wherein the worker who is not determined as the target is determined not to provide support. The acquired work-related information includes environmental data in which the worker is placed, information related to the difficulty / importance of the work performed by the worker, and information related to the accuracy of the work performed by the worker. The support determination device according to any one of claims 1 to 7 , wherein at least one of the failure continuity of the work performed by the worker is further included. A support decision method performed by a computer
Risk of acquiring work-related information including vital data of workers from worker terminals and / or peripheral equipment owned by multiple workers, and calculating the risk level for each worker based on the acquired work-related information. Level calculation stage and
Based on the calculated risk level, a support mode determination stage for determining whether or not to provide support to each worker by communication communication with the supporter via the worker terminal and the supporter terminal. Prepare,
In the support mode determination stage, among a plurality of workers, the worker with a high calculated risk level is prioritized and determined as a target to be provided with the support by the communication communication .
The acquired work-related information includes environmental data in which the worker is placed, information related to the difficulty / importance of the work performed by the worker, and information related to the accuracy of the work performed by the worker. At least one of the failure continuities of the work being done by the worker is further included,
In the acquired work-related information, as information related to the difficulty / importance of the work performed by the worker, the acquisition information analysis of the sensor installed in the worker terminal and / or its surroundings, and the worker in the worker terminal Information that is linked in advance to the work content determined from at least one of the acquisition and analysis of surrounding images and the operator's operation on the worker terminal is included.
The risk level calculation stage is
The first evaluation, in which the higher the difficulty level of the work content, the higher the risk level.
The second evaluation, in which the higher the importance of the work content, the higher the risk level, or
Regarding the same or similar work in the work content, in the first case where the number of times the work is performed is less than the 0th threshold value (r0), the risk level is increased as the number of times of the work is increased, which corresponds to the first case. In the second case where the number of times the work is performed is less than the first threshold value (r1) which is larger than the 0th threshold value, the risk level is set to a constant value, and the risk level is set to a constant value, which does not correspond to the first or second case. In the third case where the number of times the work is performed is equal to or greater than the first threshold value, the third evaluation of lowering the risk level below the constant value,
A support determination method characterized in that the risk level is calculated using at least two evaluations including the first evaluation or the second evaluation and the third evaluation. A support decision method performed by a computer
Risk of acquiring work-related information including vital data of workers from worker terminals and / or peripheral equipment owned by multiple workers, and calculating the risk level for each worker based on the acquired work-related information. Level calculation stage and
Based on the calculated risk level, a support mode determination stage for determining whether or not to provide support to each worker by communication communication with the supporter via the worker terminal and the supporter terminal. Prepare,
In the support mode determination stage, among a plurality of workers, the worker with a high calculated risk level is prioritized and determined as a target to be provided with the support by the communication communication .
The acquired work-related information includes environmental data in which the worker is placed, information related to the difficulty / importance of the work performed by the worker, and information related to the accuracy of the work performed by the worker. At least one of the failure continuities of the work being done by the worker is further included,
The acquired work-related information includes at least one of the worker's myoelectric potential data or position information acquired by the sensors provided in the worker terminal as the information related to the accuracy of the work performed by the worker. NS,
The risk level calculation stage is
When the operator's myoelectric potential data is included in the information related to the accuracy of the work, the myoelectric potential data is analyzed to determine whether or not the operation matches the expected operation, and if they do not match. Calculate the risk level higher than if it matches
When the position information of the worker is included in the information related to the accuracy of the work, the risk level is calculated higher as the difference between the position and the position where the worker should originally exist becomes larger. Support decision method. A support decision method performed by a computer
Risk of acquiring work-related information including vital data of workers from worker terminals and / or peripheral equipment owned by multiple workers, and calculating the risk level for each worker based on the acquired work-related information. Level calculation stage and
Based on the calculated risk level, a support mode determination stage for determining whether or not to provide support to each worker by communication communication with the supporter via the worker terminal and the supporter terminal. Prepare,
In the support mode determination stage, among a plurality of workers, the worker with a high calculated risk level is prioritized and determined as a target to be provided with the support by the communication communication .
The acquired work-related information includes environmental data in which the worker is placed, information related to the difficulty / importance of the work performed by the worker, and information related to the accuracy of the work performed by the worker. At least one of the failure continuities of the work being done by the worker is further included,
In the acquired work-related information, as information related to the degree of failure continuity of the work performed by the worker, the acquisition information analysis of the sensor installed in the worker terminal and / or its surroundings, and the worker's surroundings in the worker terminal Includes the work duration in the work content determined from at least one of the acquisition and analysis of the video of the worker and the worker's operation on the worker terminal.
The risk level calculation stage is for workers who are considered to have low skills.
In the case of the first time case in which the work duration is less than the 0th time threshold (term0), the value of the work duration factor at the risk level is calculated as a value lower than the 0th risk value.
In the case of the second time case, which does not correspond to the first time case and the work continuation time is less than the first time threshold (term1) larger than the 0th time threshold, it is a value equal to or more than the 0th risk value. As a value that increases as the work duration increases, the value of the work duration factor at the risk level is calculated.
In the case of the first time case or the third time case that does not correspond to the second time case, the support determination method is characterized in that the value of the work duration factor at the risk level is calculated as the maximum value. A support decision method performed by a computer
Risk of acquiring work-related information including vital data of workers from worker terminals and / or peripheral equipment owned by multiple workers, and calculating the risk level for each worker based on the acquired work-related information. Level calculation stage and
Based on the calculated risk level, a support mode determination stage for determining whether or not to provide support to each worker by communication communication with the supporter via the worker terminal and the supporter terminal. Prepare,
In the support mode determination stage, among a plurality of workers, the worker with a high calculated risk level is prioritized and determined as a target to be provided with the support by the communication communication .
The acquired work-related information includes environmental data in which the worker is placed, information related to the difficulty / importance of the work performed by the worker, and information related to the accuracy of the work performed by the worker. At least one of the failure continuities of the work being done by the worker is further included,
The acquired work-related information includes one item of the worker's vital data, environmental data in which the worker is placed, information related to the difficulty / importance of the work performed by the worker, and the worker. Includes at least two items, with at least one of the four items: related information on the accuracy of the work being done, and the degree of failure continuity of the work being done by the worker.
In the risk level calculation stage, a support determination method is characterized in that a risk level is calculated as a weighted sum of at least two items, and a value of a predetermined function with at least two items as variables is used as the weight of the weighted sum. A support decision method performed by a computer
Risk of acquiring work-related information including vital data of workers from worker terminals and / or peripheral equipment owned by multiple workers, and calculating the risk level for each worker based on the acquired work-related information. Level calculation stage and
Based on the calculated risk level, a support mode determination stage for determining whether or not to provide support to each worker by communication communication with the supporter via the worker terminal and the supporter terminal. Prepare,
In the support mode determination stage, among a plurality of workers, the worker with a high calculated risk level is prioritized and determined as a target to be provided with the support by the communication communication .
In the risk level calculation stage, the risk level for each worker calculated based on the acquired work-related information is further stored in advance for each supporter and each pair of workers, and the supporter is the worker. A support determination method characterized in that the value of the degree of effectiveness of giving support to a person is corrected, and the risk level is increased as the degree of effect is increased. A program characterized in that the computer functions as the support determination device according to any one of claims 1 to 8.

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