JP2019106036A - Support determination device, method and program - Google Patents

Abstract

To provide a support determination device, a method and a program capable of determining need for support by a supporter to a worker.SOLUTION: A support determination device comprises a risk level calculation part 22 acquiring work related information from worker terminals respectively possessed by a plurality of workers and/or peripheral facilities thereof and calculating a risk level of each worker based on the acquired work related information, and a support mode determination part 24 determining whether to support each worker by communication with a supporter via the worker terminal and a supporter terminal based on the calculated risk level.SELECTED DRAWING: Figure 3

Description

  The present invention relates to a support determination apparatus, method, and program capable of determining the support needs of a worker for a worker.

  In Patent Document 1, as a technology for work support related, when there are a plurality of support methods while inferring the user's situation using sensor information etc., selection is made by comparing the risk level and the importance level of each support method. To narrow down the methods of support, and to set priorities.

Patent No. 06149458

Internet website "Glossary of Risk Analysis" May 17, 2016 https://www.newton-consulting.co.jp/bcmnavi/glossary/risk_analysis.html “Fatigue and Stress” Journal of the Society of Biomechanisms, Vol. 21, No. 2 (1997) p. 58-64 "The effect of skin temperature change due to different dressing conditions on thermal response and thermal stress during exercise" Journal of Physical Fitness Vol. 54 (2005) No. 3, P 259-268 Internet homepage "Nursing roo! (Registered trademark)> Nursing / Care> One point physiology> Average skin temperature and temperature | Body temperature and its adjustment" November 13, 2016 https://www.kango-roo.com/sn / k / view / 2302 Internet homepage "What do we know by EEG?" Read 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 degree by EEG" http://hiroshi-t.com/relaxation-degree. Html "Online learning data management mechanism in motion discrimination system from surface myoelectric potential," Transactions of the Institute of Electronics, Information and Communication Engineers D Vol. J 84-D 2 No. 12 (2001/12/01) pp. 2634-2643 pp.

  Here, the aspect of the provision of support in the above-mentioned prior art is based on the execution of a support program by a computer, not through human beings. That is, in an actual work site, there may be cases where the computer alone can not always sufficiently support the worker, and there is a method of selecting a support source such as a computer or a person, and a method of prioritizing in the case of giving assistance via a person. You should think.

  However, in the prior art, such efficient support provision via people is not considered, and there is a problem that it can not be realized.

  An object of the present invention is to provide a support determination device, method and program capable of determining the necessity of support by a support person for a worker in view of the problem.

  In order to achieve the above object, the present invention acquires work related information from a worker terminal and / or peripheral equipment respectively possessed by a plurality of workers, and the risk level of each worker based on the acquired work related information. Based on the calculated risk level and the risk level calculation unit for calculating whether or not to provide each worker with support by communication communication with the supporter via the worker terminal and the supporter terminal. And a support mode determination unit to determine. The present invention is also characterized in that it is a method and program of an aspect corresponding 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 the support by the support person to the worker is automatically determined in the form of whether or not the support by the communication is given. It can be decided.

It is a block diagram of the support system concerning one embodiment. It is a flowchart of operation | movement of the assistance system which concerns on one Embodiment. It is a functional block diagram of each component of a support system concerning one embodiment. It is a functional block diagram for showing the detail of the separate processing contents of the related information acquisition part in a worker terminal, and the risk level calculation part in support decision device.

  FIG. 1 is a block diagram of a support system according to an embodiment. As illustrated, the support system 100 includes m worker terminals 10-1, 10-2, ..., 10, which are held and worn by a plurality of m workers WK1, WK2, ..., WKm, respectively. n supporter terminals 30-1 operated by -m, the support determination device 20, and a plurality of n persons (note that the number may be n = 1 instead of n, for example) SP1 to SPn 30-2, ..., 30-n.

  Further, as shown in the figure, the respective apparatuses and terminals in the support system 100 can communicate with each other via a network or the like, and the outline flow of information exchange is as follows. The worker terminal 10-a of each worker WKa (a = 1, 2,..., M) acquires 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 apparatus 20 instructs the worker WKa to assign which support person SPb (b = 1, 2,..., N) to support, and the like. The instruction information and the like are determined and transmitted to the supporter terminal 30-b of each supporter SPb. Assuming that it is determined that the worker WKa should be supported by the support information SPb 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 is established between the supporter terminal 30-b of the supporter SPb who is the supporter, and the video and audio of the site where the worker WKa exists and is performing the work is the worker The supporter SPb who has been transmitted from the terminal 10-a to the supporter terminal 30-b and grasped the situation on the spot by watching the video / audio, enters the supporter information into the supporter terminal 30-b. The support information is transmitted to the worker terminal 10-a, and the worker WKa is supported by the support information and can perform the work on the site. Here, the provision mode of the support information can be various types in multimedia (for example, audio, video, augmented reality display, etc.).

  According to the present invention, in particular, the degree of needing closer or more detailed support for each worker is quantified based on work-related information as a risk level to be described later, and any worker with a high risk level is quantified. Helpers provide manual assistance, and workers with low risk levels do not provide assistants with manual assistance, but give augmented reality etc. automatic assistance, or even lower risk levels. If so, it can be decided automatically so as not to give support. Therefore, even when m> n and there are fewer n supporters than m workers, economical and efficient support allocation can be achieved by effectively utilizing limited supporter human resource resources. It becomes possible to carry out automatically. Furthermore, although the risk level may change from moment to moment as the work progress of each worker, etc., efficient support assignment can be made in response to such changes.

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

  When the exchange of information related to the support between the worker terminal 10 and the support terminal 30 is described with reference to the functional block of FIG. 3, the support SPb supports the corresponding worker WKa. It is premised that the decision on the decision to perform should be obtained by the support decision device 20. If the determination to the effect that such support should be performed has not been obtained, there will be no exchange of information related to the support between the worker terminal 10 and the support terminal 30. FIG. 3 illustrates the flow of data exchange between the worker terminal 10 and the assistant terminal 30 on the premise that the support judgment is obtained, in order to explain the exchange of the information.

  As shown in FIG. 3, the support system 100 includes a worker terminal 10 as one of m, a support determination device 20, and a support terminal 30 as one of n. And. The worker terminal 10 includes a site information acquisition unit 11, a support provision unit 12, and a related information acquisition unit 13. The support determination device 20 includes a related information reception unit 21, a risk level calculation unit 22, a weight calculation unit 23, a support mode determination unit 24, an instruction unit 25 and a storage unit 26, 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. The storage unit 26 of the support determination device 20 does not operate specifically at each step, and various information necessary for the operation of the support system 100 is stored in advance as a database and stored. The required information is appropriately provided to the required functional units, and the respective required information will be described in the description of each functional unit. In addition, in FIG. 3, the arrow of the flow which the memory | storage part 26 provides to the function part which requires the said required information is abbreviate | omitted from a viewpoint of preventing complication of drawing.

  In step S1, the related information acquisition unit 13 acquires work related information on the work status, work environment, etc. of the worker in each of the worker terminals 10, and transmits the acquired work related information to the support determination apparatus 20. After the work related information of each worker terminal 10 is received 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 the predetermined period of waiting by the standby process until reaching a predetermined timing in the repetitive control step S4 described later in the flow of FIG. 2 having the repetitive structure. Although it may be acquired, the work related information may be acquired from now to a point back to a predetermined past time. Individual details of the work related information will be described later.

  In step S2, the support determination apparatus 20 calculates the risk level of each worker WKa in each worker terminal 10 using the work related information received in step S1 described above, and thereby the support mode of the worker WKa Is determined, and then the process proceeds to step S3. The step S2 can be specifically realized by the respective units of the support determination device 20 as follows.

  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 to obtain the risk level of each worker WKa whose details will be described later. Calculate At this time, the weight calculation unit 23 also calculates the weight to be described later in detail by referring to the work related information of each worker received and obtained by the related information reception unit 21, and the calculated weight The risk level calculator 22 may also calculate the risk level of each worker WKa by referring to Note that as another embodiment, the weight calculation unit 23 holds fixed weights based only on fixed work related information that does not change momentarily in 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, furthermore, the support mode determination unit 24 can 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. Although the details of the decision will be described later, in one example, a worker with a high risk level is assigned a support person to allow direct support by a support person (human), and a worker with a medium risk level is given The support by mechanical automatic processing (program automatic processing) such as augmented reality display can be performed, and it can be decided to omit the 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 sends an instruction according to the support mode determined in step S2 to each support person terminal 30, thereby causing support to the worker terminal 10 via the support terminal 30. Then, the process proceeds to step S4. The step S3 can be specifically realized as follows by the support determination device 20, the supporter terminal 30, the worker terminal 10, and the corresponding supporter SPb and the worker WKa.

  That is, in step S3, first, the assistant SPb uses the assignment between the supporter SPb and the worker WKa according to the support mode determined by the support mode determination unit 24 in step S2 from the instruction unit 25 as instruction information. The information is 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 in a manner such as displaying on the display that "supporter SPb should support the worker WKa" on the display, and receives the instruction information as support information. Also output 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 support person SPb.

  Further, in step S3, according to the received instruction information, support information receiving unit 32 and site information providing unit 33 in supporter terminal 30 of supporter SPb, and support providing unit 12 and the site in worker terminal 10 of corresponding worker WKa. Communication is established between each of the information acquisition units 11. The work support of the worker WKa can be realized by transmitting the work instruction from the support person SPb to the worker WKa by the established communication, for example, in the form of a two-way video phone which is an existing technology, etc. . 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 etc. in which predetermined work steps are sequentially described, and the storage unit By managing and updating the work step of the worker WKa at the present time by 26 and storing it, the instruction information including the information of the work step at the present time of the worker WKa is included in the instruction information at step S3 The worker SPb can be notified of the work step of the worker WKa at the present time in the form of a text or the like, and the support by the supporter SPb can be enabled. In the case of the said support, you may use together the support by the augmented reality display which is the existing technology.

  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, thereby acquiring the video / audio of the work site of the worker WKaa, thereby obtaining the video The voice is transmitted to the site information providing unit 33 of the supporter terminal 30 of the supporter SPb. The site information providing unit 33 includes a display, a speaker, and the like as a hardware configuration, thereby reproducing the video and audio of the work site transmitted and received, thereby providing for viewing by the supporter SPb. The supporter SPb can grasp the situation of the worker WKa.

  The supporter SPb who has grasped the situation inputs the support information in the form of video and audio to the support information receiving unit 32 which includes a camera, a microphone and the like as the hardware configuration, and the input support information is It is transmitted to the support providing unit 12 on the worker WKa side. As hardware configuration, the support providing unit 12 configured to include a display, a speaker, and the like reproduces the received support information and provides it for viewing by the worker WKa, so that the worker WKa can receive support from the supporter SPb. , Can be received in the form of support information viewing. Note that the support information to be transmitted from the support information receiving unit 32 to the support providing unit 12 may be configured by only audio or video only, or may include instruction information in another format. As other types of instruction information, if the display of the support providing unit 12 is a see-through head mounted display, information such as a pointer indicated by the supporter SPb on the display may be included. .

  In addition, with regard to a worker who is determined not to require direct support by any one of the supporters SPb and is determined to perform only the support by the augmented reality display, the support providing unit 12 configured as a see-through type head mounted display etc. It is sufficient to provide support by reality display. The superimposed display content for the support by the augmented reality display is stored in the storage unit 26 of the support determination device 20, and the content corresponding to the work step is directly transmitted from the support determination device 20 to the support providing unit 12. Just do it. The flow of the transmission is omitted in FIG. 3 (FIG. 3 in which the case of direct support by the supporter SPb is assumed). With regard to the update management of the work step, the support determination device 20 may receive and manage information obtained by receiving a menu input of work completion and / or an annotation input from the worker in the augmented reality display. Alternatively, by applying the image recognition processing, which is an existing technology, to the camera image forming the on-site information acquisition unit 11, an automatic determination that the completion state of each work step stored in the storage unit 26 is reached is obtained. You may manage. Further, with regard to the worker WKa requiring direct support by the supporter SPb, the support by the augmented reality display may be performed in parallel.

  In step S4, based on a clock that manages whether the support determination device 20 has reached a predetermined timing after execution of the most recent past steps S1 to S3 (for example, whether 5 minutes have elapsed as the predetermined time, etc.) If it is determined, the process returns to step S1, and the process of steps S1 to S3 is further continued after acquiring the latest work related information at that time. By waiting in step S4 until reaching the predetermined timing if the predetermined timing is not reached in step S4, the support in the immediately preceding step S3 is continued while the standby is being performed.

  In the above, the schematic operation of each functional unit of FIG. 3 has been described while explaining each step of FIG. Hereinafter, the operation details will be described particularly with regard 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 illustrates 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 thereon. It is a functional block diagram regarding the details of processing.

  As illustrated, the related information acquisition unit 13 acquires vital data as a configuration for acquiring each piece of work related information on the worker terminal 10 side and transmitting it to the support determination device 20 side, to the vital evaluation unit 221. The vital data acquisition unit 131 to transmit, the environmental data acquisition unit 132 to acquire environmental data and transmit it to the environment evaluation unit 222, and the related information on the degree of difficulty / importance of work to acquire the degree of importance / importance evaluation unit 223 The degree of difficulty / importance acquiring unit 133 to transmit to, the accuracy acquiring unit 134 to acquire related information on the accuracy of work and transmit to the accuracy evaluation unit 224, and to acquire related information on failure continuity of the work And a failure continuation degree acquisition unit 135 for transmitting the failure continuation degree evaluation unit 225.

  Further, as shown in the figure, the risk level calculation unit 22 receives the related information acquired and transmitted by the respective units 131 to 135 and calculates vital risk corresponding to the vital information received from the vital data acquisition unit 131. Vital evaluation unit 221 which calculates risk level based on vital data from data, environment evaluation unit 222 which calculates risk level based on environmental data from environmental data received from environmental data acquisition unit 132, difficulty / importance acquisition unit 133 It is more accurate than the related information of work accuracy received from the difficulty / importance evaluation unit 223 which calculates the risk level based on the difficulty / importance from the related information of the work difficulty / importance of the work received from the Based on the accuracy evaluation unit 224 that calculates the risk level based on the degree, and the related information on the failure continuation degree of the work received from the failure continuation degree acquiring unit 135 It includes a failure continuing evaluation unit 225 calculates the level of risk brute, a.

  Further, as illustrated, the risk level calculation unit 22 receives each risk level calculated based on the related information in each of the evaluation units 221 to 225 described above, calculates the risk level as a total value of these, and calculates the risk level. It also includes a total value calculation unit 226 that outputs the calculated risk level to the support mode determination unit 24 as a final output from the calculation unit 22. The integrated value calculating unit 226 further calculates the risk level as the integrated value as a value obtained by weighting each risk level by using the weight using the weight obtained from the weight calculating unit 23.

  Note that in the configuration of FIG. 4, each piece of related information and the like obtained by each of the obtaining units 131 to 135 constituting the related information obtaining unit 13 is directly transmitted to each of the evaluation units 221 to 225 constituting the risk level calculating unit 22. Although the related information receiving unit 21 illustrated in FIG. 3 is not illustrated, the related information receiving unit 21 receives the related information and the like obtained by each of the obtaining units 131 to 135, and as it is, without performing any processing or the like. Since it passes to each evaluation part 221-225, drawing is abbreviate | omitted in FIG. From the same viewpoint, in the configuration of FIG. 4, the drawing of the related information receiving unit 21 of FIG. 3 between the related information acquiring unit 13 and the weight calculating unit 23 is also omitted. That is, since the related information receiving unit 21 of FIG. 3 is a functional unit as a reception interface in the support determination apparatus 20 such as related information and does not have a function of processing related information etc., drawing of FIG. 4 is omitted. doing.

  As described above, as shown in the configuration of FIG. 4, the work related information is broadly divided into five types, which are acquired by the respective acquiring units 131 to 135, and risk levels corresponding to the respective types are evaluated by the respective evaluating units 221 to 225. The final risk level is calculated by the total value calculation unit 226 as the total value. When calculating the final risk level, instead of using all the five types, only an arbitrary part of the five types may be used. The headings (1) to (5) are given below, and details of acquisition of the five types of related information and risk level calculation based on these are respectively described.

(1) Risk level calculation based on vital data by evaluating a worker's stress level and health condition after acquiring a worker's heart rate and respiratory rate by vital data acquisition unit 131 and vital evaluation unit 221 The following subdivision items (1-1) to (1 to 3) are possible. Here, the knowledge disclosed in Non-Patent Document 2 and the like is used.

(1-1) The vital data acquisition unit 131 is configured with a heartbeat sensor or a respiration sensor as a hardware configuration to acquire the measured heart rate and respiration rate, and the vital evaluation unit 221 obtains comfort and stress of the worker. Assess the risk level by inferring the degree.

  Here, assuming that the evaluation value based on the heart rate or the respiration rate is P11, P11 becomes higher when the heart rate or the respiration rate is higher than when it is stable or when the heart rate or the respiration rate is less. In addition, since the heart rate and respiratory rate at the time of stabilization change depending on the gender and age of the workers and individual differences, P11 is “(Absolute data-Acquisition data at stable time) / (Acquired data at stable time)” As the value fluctuates with the value of, it can be calculated as a value that becomes higher as it deviates from the stable state. Note that since the heart rate and the respiration 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 sweat rate sensor as hardware configuration, the temperature, skin temperature and sweat rate of the worker are obtained, and the vital evaluation unit 221 obtains Assess risk levels by estimating comfort, health and sleepiness. Here, the knowledge disclosed in Non-Patent Document 3 is used.

  Assuming that the evaluation value by the body temperature, skin temperature and the amount of sweat is P12, P12 is high when the body temperature, the skin temperature and the amount of sweat are higher or higher than at the time of stabilization, or lower or lower. In addition, the body temperature and skin temperature and sweat rate heart rate during stabilization change depending on the gender and age of the worker and individual differences, so P12 is the absolute value of (acquired data-data at stabilization time) / (data at stabilization time As in the case of P11, it can be calculated as having a higher value as it deviates from the stable state, as it fluctuates with the value of). Note that 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, so 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, an electroencephalogram (α wave, β wave, θ wave, etc.) is acquired, and the vital evaluation unit 221 relaxes the worker Assess risk levels by inferring tension and discomfort, anxiety and excitement, and sleepiness.

Here, it is decided to uniformly estimate in the form of “relaxation degree” instead of tension and the like, and utilizes knowledge as listed below in Non-Patent Document 5 and the like.
(First finding) The degree of relaxation R is low when the frequency of appearance of the β wave is high compared to the θ wave and the α wave.
(Second Finding) The degree of relaxation R is high when the appearance frequency of the α wave is high compared to the θ wave and the β wave.
(Third Finding) When the appearance frequency of the θ wave is high compared to normal, it is in a relaxed (sick sleep) state, and the degree of relaxation R is low.

Furthermore, the relaxation degree R is defined as follows using the knowledge disclosed in Non-Patent Document 6 and the like, and the vital evaluation unit 221 calculates it 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 θ-wave power of the whole θ-wave, α-wave, β-wave respectively, kθ: weighting coefficient
Gα: ratio of α-wave power of the whole θ-wave, α-wave, β-wave respectively, kα: weighting coefficient
Gβ: ratio of β wave power of the whole θ wave, α wave, β wave respectively, kβ: weight coefficient

  Alternatively, based on the knowledge disclosed in Non-Patent Document 7 or the like, the degree of relaxation R = (potential of α wave) / (potential of β wave) may be calculated.

  As described above, it is possible to further calculate the risk level based on the electroencephalogram from the definition equation of P13 = (1-R) using the relaxation degree R calculated in any of the above. Alternatively, the risk level may be calculated to decrease as the relaxation degree R increases, as in the other definition equations.

As described above, 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 using the subdivided item evaluation values of (1-1) to (1-3). can do. Here, W1j is a weight for the evaluation value P1j.
P1 = ΣW1 j P1 j (j = 1,..., 3)
Although all of the three subdivision items (1-1) to (1-3) are used in the above, only an arbitrary part thereof may be used.

(2) The environmental data acquisition unit 132 and the environmental evaluation unit 222 calculate the influence of the environment on the worker upon acquiring environmental data as a risk level, and the following subdivision items (2-1) to (2- It is possible as 5). Generally speaking, the risk level is calculated by estimating the degree of relaxation and stress of the worker based on the temperature, humidity and pressure around the worker as acquired data.

(2-1) Influence by Ambient Temperature Assuming that the evaluation value when the ambient temperature is tm is P21 (tm), and the predetermined temperature at which a person feels uncomfortable is tm0 or less and tm1 or more, the following condition is satisfied. The evaluation value P21 (tm) can be calculated using the function P21 (tm) of
With regard to the obtained temperature tm (that is, the temperature tm that does not feel uncomfortable) that satisfies the conditions (tm0 ≦ tm and tm ≦ tm1), the evaluation value is in the range satisfying the following conditions.
That is, P21 (tm0) ≧ P21 (tm) and P21 (tm) ≦ P21 (tm1), which are less than the evaluation value at the unpleasant temperature.

(2-2) Influence of Ambient Humidity Assuming that 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, the following condition is satisfied: The evaluation value P22 (h) can be calculated using the function P22 (h) of
With regard to the obtained humidity h (that is, the humidity h which does not feel unpleasant) that satisfies the conditions (h0 ≦ h and h ≦ h1), the evaluation value is in the range satisfying the following conditions.
That is, P22 (h0) P P21 (h) and P22 (h) P P22 (h1), which are below the evaluation value at unpleasant humidity.

(2-3) Influence by ambient pressure If the ambient pressure is ap, the evaluation value is P23 (ap), and if the prescribed pressure that a person feels uncomfortable is ap0 or less and ap1 or more, the following condition is satisfied. The evaluation value P23 (ap) can be calculated using the function P23 (ap) of
With regard to the acquired pressure ap (that is, the pressure ap that does not feel uncomfortable) that satisfies the conditions (ap0 ≦ ap and ap ≦ ap1), the evaluation value is in the range satisfying the following conditions.
That is, P23 (ap0) P P23 (ap) and P23 (ap) 23 P23 (ap1), which are less than the evaluation value at unpleasant pressure.

(2-4) Influence by ambient brightness (illuminance) P24 (il) is the evaluation value when ambient illuminance is il, people feel uncomfortable (that is, they have trouble with work) predetermined illuminance is il0 or less If i1 and i1 are set, the evaluation value P24 (il) can be calculated using a predetermined function P24 (il) so as to satisfy the following.
With regard to the acquired illuminance il (that is, the illuminance il which does not feel uncomfortable) satisfying the condition (il0 ≦ il and il ≦ il1), the evaluation value is in the range satisfying the following conditions.
That is, P24 (il0) P P24 (il) and P24 (il) 24 P24 (il1), which are less than the evaluation value at the unpleasant illuminance.

(2-5) Influence by surrounding sound (noise) P25 (ns) is the evaluation value when the size of the surrounding sound is ns, and the person feels uncomfortable (that is, has trouble with work) If the size is set to ns0 or less (that is, if too quiet, it causes trouble to work) and ns1 or more, the evaluation value P25 (ns) is calculated using a predetermined function P25 (ns) so as to satisfy the following. Can be calculated.
Regarding the acquired sound magnitude ns that satisfies the condition (ns0 ≦ ns and ns ≦ ns1) (that is, the sound magnitude ns that does not feel unpleasant), the evaluation value satisfies the following conditions and Become.
That is, P25 (ns0) P P25 (ns) and P25 (ns) P P25 (ns1), which are below the evaluation value for the loudness of the unpleasant sound.

As described above, using the subdivision item evaluation values of (2-1) to (2-5), the environment evaluation unit 222 calculates the risk level P2 based on 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)
Although all the five subdivision items (2-1) to (2-5) are used in the above, only an arbitrary part of them may be used.

  In addition, the environmental data acquisition unit 132 acquires the above five types of environmental data by being provided with a temperature sensor, a humidity sensor, an atmospheric pressure sensor, an illuminance sensor, and a sound sensor (microphone) as its hardware configuration. be able to.

(3) Acquisition of the degree of work difficulty / importance by the degree of difficulty / importance acquisition unit 133 and the degree of difficulty / importance evaluation unit 223 and calculation of the risk level based on these are the following subdivision items (3-1) to (3-3) As possible). Here, in the processing in which the difficulty / importance acquiring unit 133 performs the support by the augmented reality display or the like which is the existing technology in the worker terminal 10 (the support by the support may be added from the support terminal 30), It is assumed that information on which the entire work content STj (j = 1, 2,..., N) as the flow of the worker and the current work step STj are is acquired. The acquisition can be performed by menu input and / or annotation input from the operator, video analysis, and / or sensor information analysis as described above regarding the support by the augmented reality display or the like. (Note that the support itself is omitted also for the workers judged by the support mode determination unit 24 that both the direct support by the support and the support by the augmented reality display etc are unnecessary, but the information regarding the work status is such The acquisition is performed in the worker terminal 10. The difficulty level / importance level evaluation unit 223 can calculate the risk level by the following subdivision items (3-1) to (3-3) based on the information. In addition, the information for calculating the risk level by the information of the whole work content STj (j = 1, 2,..., N) and the following subdivision items (3-1) to (3-3) is registered in advance in the storage unit You can use what you have already done.

(3-1) Evaluation by difference in the degree of difficulty of work steps For example, the whole work content includes three steps ST1, ST2 and ST3, and one cable is
i) In step ST1, join one of the three connectors
ii) In step ST2, connect to a predetermined one of the three connectors
iii) In step ST3, when the content is to be connected to a determined connector based on the working condition, the degree of difficulty is higher in the order of step ST3>ST2> ST1.
Therefore, when the evaluation value according to the degree of difficulty in step ST is P31 (ST)
The risk level may be calculated by setting the evaluation value P31 (ST) such that P31 (ST3) P P31 (ST2) and P31 (ST2) P P31 (ST1).

  More generally, information on an evaluation value P31 (ST) according to the contents of step ST is prepared in advance as table data so that the evaluation value P31 (ST) based on the degree of difficulty in step ST increases as the degree of difficulty in step ST increases. Then, the evaluation value of the risk level based on the degree of difficulty may be calculated by referring to the table data.

(3-2) Evaluation by Difference in Importance of Work Step For example, the whole work content includes three steps ST1, ST2 and ST3, and the work process is determined by assembly work etc.
i) Failure in step ST1 hardly affects the subsequent steps.
ii) Even if it fails in step ST2, there is a chance of recovery.
iii) If it fails 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 degree of importance of step ST is P32 (ST)
The risk level may be calculated by setting the evaluation value P32 (ST) such that P32 (ST3) P P32 (ST2) and P32 (ST2) P P32 (ST1).

  More generally, information on an evaluation value P32 (ST) according to the contents of step ST is prepared in advance as table data so that the evaluation value P32 (ST) based on the importance increases as the importance of step ST increases. In addition, the evaluation value of the risk level based on the degree of importance may be calculated by referring to the table data.

(3-3) Evaluation in consideration of change in the degree of difficulty due to repetition of the same work The work process is configured by repetition of the same or similar work α, and r0 and r1 are threshold values regarding the number of times of work execution satisfying the condition r0 <r1 I assume. An average number of times of implementation r0 is required to acquire work α, and after the acquisition, if the average number of times of implementation exceeds r1, it is assumed that the operator gets used to it, and the evaluation value is calculated by the following function P33 be able to.

That is, assuming that the evaluation value when the number of times of execution is r times 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 is to set the risk to be constant from the r0 th time to before the r1 th time.
● In the case of r 1 r1 which does not correspond to either of the first and second cases,
P33 (r) is assumed to be less than P33 (r1).
This is set as a risk smaller than the constant value of the above-mentioned second case after the r1st time.

  Note that this evaluation value is not the number of times of execution of the same work α, but the evaluation value is P33 (t) or P33 with the same function P33, focusing on the total number of executions t or the current step n. It may be calculated as (n). In addition, in the work site where the worker's level is the same, r0 and r1 may use what was calculated based on the work time of all the workers.

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

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

(4) The accuracy acquisition unit 134 and the accuracy evaluation unit 224 acquire related information on the accuracy of the work and calculate the risk level based on the following sub-items (4-1), (4-2) As possible. Here, various sensors and the like specifically described below are used as the hardware configuration of the accuracy acquisition unit 134 to estimate the position and the work content of the worker, and the difference between these values for the work for support purpose The measurement is performed and the accuracy evaluation unit 224 calculates an evaluation value.

(4-1) As disclosed in Non-Patent Document 8 as an example of the measurement mode, it is possible to recognize the work content of the related part by measuring the movement of the muscle using the existing technology myoelectric potential sensor . By analyzing the data acquired by the myoelectric potential sensor in advance and converting it into a DB, the acquired data and the specific operation are associated with each other to determine whether the operation during work is correct or not. If the evaluation value for the correctness of the operation is P41 · If it matches the expected operation, P41 = 0 (no risk)
P41 = 1 (with risk) if it does not match the expected operation
The evaluation value may be calculated from the definition of and.

  That is, the accuracy acquisition unit 134 acquires the myoelectric potential sensor output, and the accuracy evaluation unit 224 may calculate the evaluation value from the myoelectric potential sensor output according to a predetermined calculation formula (including one based on machine learning or the like). As a specific example, it is effective at the operation and maintenance site of the network to recognize, for example, an operation for pulling out a cable, an operation for pointing in, an operation for turning a screw clockwise, an operation for turning counterclockwise. In the accuracy acquisition unit 134, as described above with respect to support by augmented reality display etc., menu input and / or annotation input from a worker (including a worker who is determined to be unnecessary for any support), and / or annotation analysis and video analysis And / or sensor information analysis, etc., to obtain information as to which work step STj at the present time in the entire work content STj (j = 1, 2,..., N) as the flow of the worker The degree evaluation unit 224 may perform the evaluation according to the contents of the work step.

(4-2) Position and movement of worker by using existing technology wifi (registered trademark) or BLE (Bluetooh (registered trademark) Low Energy), acceleration sensor, gyro sensor, geomagnetic sensor, ultrasonic beacon Estimate the route and moving speed. Furthermore, the accuracy evaluation unit 224 evaluates the difference between the position of the worker calculated from the measurement value of the sensor or the like and the position where the worker should be present, and the evaluation value P42 is determined so that the difference becomes large. It may be calculated to be increased.

  The information on the position where the worker should originally exist corresponding to the current operation step STi may be stored in the storage unit 26 in advance.

As described above, using the subdivided item evaluation values of (4-1) and (4-2), the accuracy evaluation unit 224 can give the risk level P4 based on the related information of the final accuracy 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 = .SIGMA.W4jP4j (j = 1, 2)
Although all of the two subdivision items (4-1) and (4-2) are used in the above, only an arbitrary part of them may be used.

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

First, the degree of failure continuity as an evaluation target is based on the following considerations. That is, in the case of a to c listed below, it is a study that a delay occurs in the work without the completion of a certain work.
a. The contents of support are not clear to the workers.
b. The operator is not good at certain operations and can not carry out as instructed any time.
c. Have a functional handicap that the operator can not see or hear.

  When it corresponds to the above ac, the worker's failure will continue, and since it is in a state to be actively supported, such a state is quantified as a high risk level from the viewpoint of failure continuation degree. Specifically, it is as follows.

  Here, term0 and term1 are threshold values related to the working time satisfying the condition of term0 <term1 and t is a duration after the worker p starts working 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 condition is term 0, and the worker p can not expect completion by itself even if it continues more Let the average time be term1. Based on the threshold value, the evaluation value of the risk level from the viewpoint of failure continuity may be calculated by the failure continuity evaluation unit 225 as a function P5 (t) of duration t by a predetermined function P5 having the following properties: it can.

If the duration t <term0 then
The value of P5 (t) varies depending on the skill of the worker.
For workers with low skills who continue working after term 0,
P5 (t) <P5 (term 0)
For workers who are highly skilled and finish work before term 0
P5 (t)> 0
If the duration term0 ≦ t, only low-skilled workers continue work.
The duration t0, t1 is
(When term0 ≦ t0 and t0 ≦ t1 and t1 <term1)
P5 (term 0) P P5 (t0) and P5 (t0) P P5 (t1) and P5 (t1) P P5 (term 1)
In the case of duration t ≧ term 1
P5 (t) = P5 (term1). Here, the constant value P5 (term1) is the maximum level of the evaluation value.
In addition, about a worker's skill low and high, you may register in advance beforehand,
You may judge from work history.

  The threshold values term0 and term1 may be stored in the storage unit 26 in accordance with the current operation step α. In the failure continuation degree acquisition unit 135, as described above regarding the support by the augmented reality display etc., the menu and / or the annotation input, the video analysis and / or the analysis and / or the like from the operator By the sensor information analysis or the like, it is possible to acquire the entire work content and the information of the work step α at the present time, and it is also possible to acquire the elapsed time t using the clock function with a clock.

  Note that the main evaluation value P5 may be calculated based on the number of times of continuous execution n, not the duration t of the same work α. The number of times of failure n can be acquired by the failure continuation degree acquisition unit 135 in the same manner as the above acquisition of the elapsed time t. In addition, in the work site where workers have the same level, term0 and term1 may be calculated based on the working time of all workers.

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

The calculation details of the evaluation values P1 to P5 of the five risk levels based on the related information have been described above with reference to the detailed configuration of FIG. 4. The total value calculator 226 can calculate the final risk level P as a weighted sum of these evaluation values as follows. Wi is a weight for the evaluation value Pi, and it is possible to use a variable value (value that changes momentarily) or a fixed value (value that does not change) obtained from the weight calculation unit 23 described next.
P = Wi WiPi (i = 1, .. 5)

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

  The weight calculation unit 23 can allow the risk level calculation unit 22 to calculate an appropriate risk level according to the work site to be supported and the current situation of the worker 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 working environment and the tendency of the worker.

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

(Setting 2) W2> Wi (i = 1, 1), where importance is placed on environmental conditions to determine support methods and priorities for places where environmental conditions such as heat and cold are severe, such as construction sites. Set to 3, 4, 5).

(Setting 3) In order to prevent a worker from becoming alert if a worker is self-sufficient and most of the steps can be completed independently by the worker, and rarely include highly important or difficult tasks, Set W3> Wi (i = 1, 2, 4, 5).

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

(Setting 5) W5> Wi (i = 1,..., 4) is set if it is desired that the worker does not want to keep tapping in the same work.

  In addition, each setting of the above (setting 1) to (setting 5) is a weight calculation by adopting any one of the settings on the premise that the working environment and the tendency of the worker are fixed throughout the working progress. A fixed weight is set in the section 23. As another embodiment different from this, in order to appropriately cope with a case where the working environment or the tendency of the worker changes along with the progress of the work, the weight calculation unit 23 calculates the weight which changes from moment to moment. May be

For example, the embodiment is suitable when the worker's stress state (setting 1) changes depending on the environmental conditions (setting 2) of the work place. Specifically, every time data is acquired from a worker terminal, the values of weight Wi for the evaluation value Pi and weight Wij (i = 1, 2, 3, 4, 5) for the evaluation value Pij may be changed. Good. That is, the weight Wi and the weight Wij may be calculated as the value of a predetermined function (multi-variable function) in which all of the individual evaluation values Pij are variables as shown in the following equation. The function may be set to reflect which of (setting 1) to (setting 5) is to be emphasized according to the environmental change or the like.
Wi = Wi ({Pij | i = 1,2,3,4,5})
Wij = Wij ({Pij | i = 1, 2, 3, 4, 5})
In the above equation, although the weights Wi and Wij use as variables all of the individual evaluation values Pij, only arbitrary ones of the individual values may be used as variables. In particular, any part of individual evaluation values Pkj and Plj for calculating at least two of Pk and Pl corresponding to five types of weighted evaluation values Pi (i = 1, 2, 3, 4 and 5) may be variables It may be
Furthermore, in the above equation, the evaluation value Pij is also used as the evaluation value Pij in the case of i = 5 from the viewpoint of unifying expression notation, but in the case of i = 5, “(5) Failure Continuity Acquisition Unit 135 and Failure Continuity Evaluation Unit 225 As described above, only one evaluation value P is _{[before weighting],} and “j” in the notation of “Pij” is only one.

  Moreover, the following is also mentioned as a suitable other specific example of the said embodiment. If a work scenario exists in advance, and the worker can recognize the step being performed according to the values acquired by the image or various sensors or the value input by the worker, Wi and Wij (i = 1, 2, 3, The values of (4) and (5) may be changed according to the time from the start of the step or the work in consideration of the importance of the step, the frequency of occurrence of an error, and the degree of influence on individual workers.

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, it is determined as follows by presetting Pα as the minimum risk level when providing assistance with a computer and Pβ as the minimum risk level when providing assistance by a person as 0 <Pα <Pβ. do it.
When 0 ≦ P [i] <Pα, it is determined that the worker i is not given assistance.
When Pα ≦ P [i] <Pβ, it is determined for the worker i to perform automatic support incorporated in advance in the work support system 100. For example, the aforementioned augmented reality display can be used to provide assistance via the worker terminal 10. The content for performing the 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 support person. That is, communication is established between the worker terminal 10 and the supporter terminal 30, and it is determined that the flexible support is to be implemented from the supporter to the worker i.

Therefore, when there are M supporters who are on standby (supporters in a state capable of providing support) and N workers i satisfy Pβ ≦ P [i], the overall support is as follows: Aspects can be determined.
In the case of M ≧ N, support is provided to all the workers i who satisfy Pβ ≦ P [i] via a supporter.
-When M <N, in the order of magnitude of risk level P [i], for upper M workers, work support via supporters is performed by lower (NM) people. For workers, automatic support is provided by the work support determination device.

As described above, according to the present invention, the following effects can be achieved.
-Resolve the problem of lack of workers, especially skilled workers, at the work site by promoting the support provided by the supporters.
-Since the support determination apparatus 20 digitizes the support needs for a plurality of sites where a plurality of workers exist respectively as a risk level to determine the support mode, the support can efficiently support the work site.
-When the number of supporters remotely supports a plurality of sites with a small number of people, the site where the support is required is preferentially designated, so the workload on the supporters is reduced.

  Hereinafter, supplementary explanation in the present invention will be described.

(Supplement 1) Regarding Consideration of Coupling Effect between Worker and 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 via people, the threshold judgment (for example, the variance of the risk level becomes equal to or less than the threshold If it is determined by the above, the calculated risk level is corrected to be a higher value so that the worker who can expect to be more effective by the assistance through human being is preferentially targeted for assistance.

Specifically, a worker who is highly effective is
(Condition 1) Regardless of the selection of supporters, they are workers with high support effectiveness. That is,
-Workers who reduce the number of times of failure or operation time significantly in the same or similar work after receiving work support via human.
-Workers who reduce the number of times when they make a significant failure in the whole work and work time after receiving work support via human.
・ Usually, highly skilled workers who can complete most of their work on their own.
(Condition 2) A worker with a high support effect limited to a specific supporter. For example, after the support person pi supports the worker pj, the number of times and time for the worker pj to make a mistake in the same or similar work as the supported work is significantly reduced, or in the whole work, If the number of failures and work hours have been significantly reduced
The worker pj is a worker with a high support effect for the supporter pi.

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

(Supplement 2) Each of the worker terminal 10, the support determination 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 to the CPU, an auxiliary storage device that can be configured with a hard disk or SSD, etc., an input interface that receives user input such as a keyboard, mouse, touch panel etc. Each device can be configured by a general computer such as a communication interface for connecting to communicate with each other, a display for displaying, a camera, and a bus for connecting them. Furthermore, 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 may be implemented using a separate dedicated circuit or the like (GPU (Inclusive)). The worker terminal 10 further includes one or more wearable terminals (smart glasses, a head mounted display, a wristband capable of measuring a heart rate or the like, etc.), provided with sensors that have been described in detail with respect to the worker terminal 10. The data of the wearable terminal may be aggregated and transmitted to the computer, for example.

(Supplement 3) The video, audio, etc. in the case of implementing support from the supporter to the worker by two-way communication between the worker terminal 10 and the supporter terminal 30 are between the terminals 10 and 30 of the support determination device 20. It may be relayed by

(Supplement 4) The related information acquisition unit 13 provided in the worker terminal 10 described with reference to FIGS. 3 and 4 may not necessarily be provided in the worker terminal 10 depending on the type of the related information. For example, the environmental data acquisition unit 132 in the related information acquisition unit 13 illustrated in FIG. 4 may perform acquisition using peripheral equipment such as a sensor located around the worker terminal 10. In addition, any or all of the acquisition units 131 to 135 of the related information acquisition unit 13 in FIG. 4 may be mounted on peripheral equipment as an external configuration that is not included in the worker terminal 10 itself. However, when the risk level is calculated by each of the evaluation units 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. As it can be performed, each acquisition part 131-135 of external composition shall transmit to each evaluation part 221-225 the information which acquired related information belongs to which worker. Alternatively, similarly, each acquiring unit 131 to 135 of the external configuration transmits the acquired related information to the worker terminal 10 of the corresponding worker, for example, by near-field wireless communication, and then the related information is further transmitted from the worker terminal 10 It may be transmitted to the related information reception unit 21 of the support determination device 20.

  For example, when a worker using the worker terminal 10 exists in a room, a temperature or the like acquired 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, temperatures (room temperatures) corresponding to two workers may be acquired as the same value by the same thermometer.

100 ... support system, 10 ... worker terminal, 20 ... support determination device, 30 ... support terminal
22 ... risk level calculation unit, 24 ... support mode determination unit

Claims (13)

A risk level calculation unit that acquires work related information from a worker terminal and / or peripheral equipment thereof respectively possessed by a plurality of workers, and calculating a risk level of each worker based on the acquired work related information;
A support mode determination unit that determines whether to provide each worker with communication support via a worker terminal and a supporter terminal with the supporter based on the calculated risk level; A support determination device characterized by comprising.   The support mode determination unit according to claim 1, wherein among the plurality of workers, the worker with the higher calculated risk level is prioritized and determined as a target to which the support by the communication is given. Decision device.   The support mode determination unit further determines, among the plurality of workers, support information determined in advance based on the calculated risk level, for the worker who is not determined as the target to be provided with the support by the communication. The apparatus according to claim 1 or 2, wherein it is determined whether to provide the automatic support based on the worker terminal via a worker terminal.   The acquired work related information includes the vital data of the worker, the environmental data on which the worker is placed, the related information on the degree of difficulty and the degree of importance of the work performed by the worker, and the work performed by the worker The support determination apparatus according to any one of claims 1 to 3, wherein at least one of accuracy related information and failure continuity of work performed by the worker is included.   The acquired work-related information includes at least one of a worker's heart rate or respiration rate, body temperature or sweat rate, and an electroencephalogram as vital data of the worker acquired by the sensors provided at the worker terminal. The support determination apparatus according to claim 4, wherein the support determination apparatus comprises:   The acquired work-related information includes temperature, humidity, barometric pressure, illuminance, and sound size as environmental data placed on the worker acquired by sensors provided on the worker terminal and / or peripheral equipment thereof. The support determination apparatus according to claim 4, wherein at least one of is included.   The acquired work related information includes the related information of the degree of difficulty and the degree of importance of the work performed by the worker, the analysis of the acquired information of the sensor installed on the worker terminal and / or the periphery thereof, and the worker at the worker terminal The support determination apparatus according to claim 4, characterized in that information linked in advance is included in the work content determined from at least one of acquisition analysis of a peripheral image and an operation of the operator on the operator terminal. .   The acquired work-related information includes at least one of myoelectric potential data or position information of the worker acquired by the sensors provided in the worker terminal as related information of the accuracy of the work performed by the worker. The support determination apparatus according to claim 4, characterized in that:   The acquired work related information includes, as related information of the failure continuation degree of the work performed by the worker, analysis of acquired information of a worker terminal and / or a sensor installed in the periphery thereof, and the surroundings of the worker in the worker terminal The support determination apparatus according to claim 4, characterized in that the work continuation time in the work content determined from at least one of the acquisition analysis of the video and the operation of the worker on the worker terminal is included. The acquired work related information includes the vital data of the worker, the environmental data on which the worker is placed, the related information on the degree of difficulty and the degree of importance of the work performed by the worker, and the work performed by the worker At least 2 items out of 5 items, including accuracy related information and failure continuity of work done by workers,
The risk level calculation unit calculates a risk level as a weighted sum of the at least two items, and uses a value of a predetermined function with the at least two items as variables as weights of the weighted sum. The assistance determination apparatus in any one of 9.   The risk level calculation unit further corrects the risk level of each worker calculated based on the acquired work-related information with the value of the degree of effect by giving a value in which the value is stored in advance for each worker. The support determination apparatus according to any one of claims 1 to 10, wherein: A computer implemented assistance decision method comprising:
A risk level calculating step of acquiring work related information from a worker terminal respectively possessed by a plurality of workers and / or peripheral equipment thereof, and calculating a risk level of each worker based on the acquired work related information;
A support mode determination step of determining whether to provide each worker with communication support via a worker terminal and a supporter terminal with the supporter based on the calculated risk level; A support decision method characterized by comprising.   A program that causes a computer to function as the assistance determination device according to any one of claims 1 to 11.

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