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WO2017037839A1 - Dispositif et procédé de traitement d'informations - Google Patents

Dispositif et procédé de traitement d'informations Download PDF

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Publication number
WO2017037839A1
WO2017037839A1 PCT/JP2015/074721 JP2015074721W WO2017037839A1 WO 2017037839 A1 WO2017037839 A1 WO 2017037839A1 JP 2015074721 W JP2015074721 W JP 2015074721W WO 2017037839 A1 WO2017037839 A1 WO 2017037839A1
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Prior art keywords
amount
person
work
information processing
divergence
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English (en)
Japanese (ja)
Inventor
加藤　雅弘
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Hitachi Ltd
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Hitachi Ltd
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Priority to PCT/JP2015/074721 priority Critical patent/WO2017037839A1/fr
Priority to JP2017537101A priority patent/JP6458155B2/ja
Publication of WO2017037839A1 publication Critical patent/WO2017037839A1/fr
Anticipated expiration legal-status Critical
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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Measuring devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/16—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
    • A61B5/165—Evaluating the state of mind, e.g. depression, anxiety
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/16—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment

Definitions

  • the present invention relates to an information processing technology system for adjusting system parameters.
  • Patent Document 1 JP-A-2013-218725
  • Patent Document 2 JP-T 2009-517188
  • the abnormality detection system 1 generates (1) compact learning data consisting of normal cases by paying attention to the similarity between data, and (2) New data is added to the learning data, (3) the alarm occurrence section of the equipment is deleted from the learning data, (4) the learning data updated from time to time is modeled by the subspace method, based on the distance relationship between the observation data and the subspace, Detecting abnormal candidates, (5) Combining analysis with event information as a target, detecting abnormalities from abnormal candidates, (6) Obtaining the degree of divergence of observation data based on the frequency distribution of learning data, The abnormal element (sensor signal) is specified "(see summary).
  • JP 2009-517188 describes “improvement of human health monitoring with an empirical model of parameters in the context of sensor measurements for typical vital signs and other biological parameters. Used and provided by a system and method arranged to estimate the value of the parameter according to the actual measured value, the residual resulting from the difference between the estimated value and the actual measured value is the initial health problem "Residual analysis is more robust and sensitive than traditional univariate range checking for vital signs" (see summary).
  • Patent Document 1 The technique described in Patent Document 1 is used for abnormality diagnosis of industrial machines, constitutes a powerful normal operation classifier, learns all possible normal operations, and still cannot be identified Is described as a method of abnormality.
  • Patent Document 2 describes that the same method as Patent Document 1 is applied to health monitoring. In either case, complete learning data about the subject to be diagnosed is required. However, in practice, combination explosion occurs unless the problem is considerably limited, and it is difficult to obtain complete learning data.
  • one embodiment of the present invention is an information processing device including a control unit and a storage unit connected to the control unit, and the storage unit includes a plurality of persons. Data indicating the amount of activity per hour, and data indicating the stress amount of each person for each first predetermined period, the control unit, for each of the first predetermined period, A cumulative amount of activity amount for each band is calculated, and a divergence degree of the cumulative amount in each first predetermined period with respect to the cumulative amount in a second predetermined period including a plurality of the first predetermined periods.
  • the system can be adjusted to be robust against external adverse factors.
  • FIG. 1 is a first explanatory diagram showing a configuration of a physical distribution system according to an embodiment of the present invention.
  • FIG. 1 shows a configuration of a physical distribution system that is an example of a system in which parameter adjustment according to the present invention is performed.
  • the physical distribution system of this embodiment includes a plurality of workers 101 (in the example of FIG. 1, workers 101A and 101B), one or more beacons 102, one or more monitoring cameras 103, one or more work robots 104, one One or more work devices 105 and a computer device 106 are included.
  • Each worker 101 wears a bracelet type sensor 107 (bracelet type sensors 107A and 107B in the example of FIG. 1).
  • the bracelet type sensor 107 worn by each worker 101 is an activity amount sensor that measures the activity amount of each worker.
  • the bracelet type sensor 107 may be, for example, an acceleration sensor for measuring the movement of the arm of the worker 101 to which the bracelet is attached, or a position sensor for measuring the movement amount of each worker 101. It may be a sensor that detects meeting and conversation in order to measure the amount of communication with other workers 101, or a sensor that detects vital signs such as the pulse and respiration rate of each worker 101. There may be.
  • the bracelet type sensor was described as an activity amount sensor in FIG. 1, this is an example,
  • a sensor of other forms, such as a name tag type sensor may be employ
  • the name tag type sensor when each worker 101 wears a name tag type sensor on the front surface of the body and the name tag type sensor includes an infrared signal transmission / reception unit and a voice sensor, each worker 101 uses them to make another worker 101 Therefore, the amount of communication between the workers 101 can be measured based on the detection result.
  • the beacon 102 is one of means for measuring the position of each worker 101.
  • a plurality of beacons 102 are installed at predetermined positions, respectively, and wireless signals including self-position data are constantly transmitted.
  • the bracelet sensor 107 of the worker 101 approaches the position, the position and time are received. Thereafter, by checking the beacon data received by the bracelet sensor 107, the movement trajectory of the worker 101 can be specified, and based on this, the movement amount that is a kind of the activity amount of the worker 101 can be measured.
  • the monitoring camera 103 is one of means for measuring the positions of the worker 101, the work robot 104, and the work equipment 105.
  • one or a plurality of monitoring cameras 103 are installed at predetermined positions, respectively, and image a predetermined range. By analyzing the photographed image, the position of the worker 101 or the like can be specified.
  • the monitoring camera 103 It corresponds to an activity amount sensor.
  • the work robot 104 performs various operations in the logistics system, such as taking out an article from a designated shelf and installing it on the work table, returning the article from the work table to the shelf, packing the article, and assembling the article.
  • the work device 105 is a device used by the worker 101 to perform work.
  • a work table on which an article is placed thereon to perform work an assembly machine for assembling the article, a machine tool for processing the article, or the like. It is.
  • the computer device 106 is an information processing device that performs processing for adjusting parameters of the physical distribution system according to the present embodiment. Specifically, the computer device 106 performs wired or wireless communication with the bracelet sensor 107, the beacon 102, the monitoring camera 103, and the work robot 104 to acquire and instruct data. Details of data exchanged by the computer device 106 and its configuration will be described later (see FIGS. 3 and 4).
  • FIG. 2 is a second explanatory diagram showing the configuration of the physical distribution system according to the embodiment of the present invention.
  • FIG. 2 is a plan view showing an example of the arrangement of each component of the physical distribution system shown in FIG.
  • An article shelf 202 and a plurality of work tables 105 are installed at predetermined positions in a work place (for example, a warehouse) 201 of the physical distribution system.
  • a work place for example, a warehouse
  • a plurality of work robots 104 carry articles (not shown) between the article shelf 202 and each work table 105, and each worker 101 performs work (for example, packing, assembly, etc.) on the goods placed on each work table 105. ), The cooperative work between the work robot 104 and the worker 101 is performed.
  • Such a form of cooperation is an example.
  • the worker 101 may carry an article and the work robot 104 may carry out work on the article.
  • a large number of beacons 102 are installed on the ceiling or floor of the work place 201.
  • each worker 101 is equipped with a bracelet sensor 107 and receives data from one of the beacons 102.
  • a monitoring camera 103 may be further installed on the ceiling or the like of the work place 201.
  • the computer device 106 communicates with the bracelet type sensor 107, the beacon 102, the monitoring camera 103, the robot 104, and the like, and human measurement data (for example, acceleration data or position data of the worker 101), position data of the work robot 104, and The position data of the work equipment 105 is received, and an action instruction to a human, an instruction to the work robot 104, an instruction to the work equipment 105, and the like are transmitted.
  • human measurement data for example, acceleration data or position data of the worker 101
  • position data of the work robot 104 position data of the work equipment 105
  • an action instruction to a human, an instruction to the work robot 104, an instruction to the work equipment 105, and the like are transmitted.
  • FIG. 3 is an explanatory diagram of data and instructions exchanged between the components of the physical distribution system according to the embodiment of this invention.
  • the computer device 106 receives human measurement data from the human measurement sensor 301.
  • the human measurement data includes, for example, the acceleration of the worker 101, the amount of work, the amount of movement, the work procedure, the movement locus, the amount of communication with other workers 101, the level of vital signs, or other activity amount data. Including.
  • the computer device 106 transmits to the human measurement sensor 301 a change in work procedure, a change in work content, a change in work place, or an action instruction to a person such as a change, break, or retirement of the worker 101.
  • the computer device 106 receives the robot movement data and the robot work data from the work robot 104 and transmits instructions to the work robot 104.
  • the robot movement data includes, for example, a movement target, a route, a movement speed, a priority relationship between robots, and the like.
  • the robot work data includes, for example, a work place, work contents, work procedures, and the like.
  • the instructions to the robot include, for example, instructions for changing the target, route, speed, priority relationship between the robots, work place, work content, work procedure, and the like.
  • the computer device 106 receives the position data and work data of the work device 105 from the work device 105 and transmits an instruction to the work device 105.
  • the work data includes, for example, data such as assembly, inspection, or packing performed by the worker 101 using the work device 105.
  • the instruction to the work equipment 105 includes an instruction to change the installation position of the work equipment 105 or work information.
  • the computer device 106 may receive position data of the work device 105 from the monitoring camera 103 instead of the work device 105.
  • FIG. 4 is an explanatory diagram of the hardware configuration of the computer device 106 that constitutes the physical distribution system according to the embodiment of the present invention.
  • the computer device 106 is a device including (built in) a display unit 408 that can display a moving image, and can be applied to various information display devices such as a computer device.
  • the display unit 408 may be a separate body (external).
  • a device with a built-in display unit 408 and an external device are collectively referred to as an information presentation device.
  • a ROM (Read Only Memory) 402 and a RAM (Random Access Memory) 403 are connected to a central control unit (CPU, Central Processing Unit) 401 that controls the operation of the computer device 106 via an internal bus line 410, and further externally connected. It is also connected to a network interface 404 for connecting to a network.
  • CPU Central Processing Unit
  • the CPU 401 functions as a control unit that executes information processing to be described later, and a memory such as the connected RAM 403 also functions as a parameter storage unit to be described later.
  • a program for executing information processing is mounted on the ROM or RAM, and the CPU 401 executes information processing based on the program. That is, in the following description, the processing executed by the computer device 106 is actually executed by the CPU 401 according to a program stored in the RAM 403 or the like.
  • the storage unit such as the RAM 403 may be a storage unit such as a hard disk in addition to the semiconductor memory, or may be a detachable storage unit such as a memory card.
  • the computer device 106 may have a recording function for accumulating video data of the monitoring camera 103.
  • Examples of the network interface 404 include an analog modem for an analog telephone line, a modem for an ISDN line, a router or modem for an ADSL (Asymmetric Digital Subscriber Line), an adapter for a LAN (Local Area Network: local information communication network), A wireless telephone adapter, a wireless communication adapter such as Bluetooth, and the like are applicable.
  • the computer device 106 can be connected to the Internet via the interface of these configurations.
  • the computer device 106 also includes a graphic controller 407 for performing display control of various information and moving images.
  • a VRAM 409 that holds video data is connected to the graphic controller 407, and the display unit 408 displays a video drawn under the control of the graphic controller.
  • the display unit 408 for example, a liquid crystal display panel or the like is used.
  • the computer device 106 includes an operation unit 406 including various operation keys and operation buttons, and a user interface controller 405 that receives the operation of the operation unit.
  • the operation data received by the user interface controller 405 is stored in the internal bus. The data is supplied to the CPU 401 via the line 410.
  • FIG. 5 is an explanatory diagram outlining the overall processing for adjusting the parameters of the physical distribution system according to the embodiment of the present invention.
  • the computer device 106 adjusts various parameters of the physical distribution system so that a stable operation can be performed even if the physical distribution system worker is exposed to various adverse factors. Specifically, the computer device 106 determines the parameter level of the logistics system based on the measurement data relating to the activity amount of each worker so as to maintain the ideal relationship described later, and adjusts the logistics system according to the determination result. Give instructions. The amount of activity of the worker is measured in the logistics system in which the parameters are adjusted, and the computer device 106 performs first-order regression using the stress of the worker as an explanatory variable and the degree of deviation from the healthy state of the worker's activity as a target variable.
  • the target performance is realized by optimizing the parameters related to people, things, and places at the physical distribution site.
  • an ideal relational expression representing the basic functions of a plurality of workers working at the distribution site is used as the objective function.
  • work efficiency or work performance is often set as the objective function. .
  • the first goal of the present invention is to first increase the vitality of the worker and, as a result, improve the work efficiency and work performance, and if the first goal is to improve work efficiency or work performance. If so, there will be no inconvenience in calculation even if an objective function suitable for the selection is selected.
  • the processing described below is described in a program stored in the RAM 403 or the like of the computer device 106 in the physical distribution system of the present embodiment, and is automatically executed by the CPU 401 according to the program.
  • the computer device 106 needs to determine the degree of influence of the stress S on the physical distribution parameter X. Therefore, the level of the parameter S (S 1 , S 2 ,..., S n ) related to the stress of the worker and the deviation ⁇ e ( ⁇ e1,1 , ⁇ e1,2,.
  • FIG. 6 is an explanatory diagram of physical distribution system parameters held by the computer device 106 in the physical distribution system according to the embodiment of this invention.
  • Distribution system parameters are parameters related to people, things, places, etc. in the distribution system, and this restricts the actions of workers.
  • the distribution system parameters include, for example, a value indicating work performed by each worker, a value indicating an attribute of an object of each work, a value indicating a place where each work is performed, and a manual of each work
  • the manual of each work is a general term for instructions, guidance, and the like that can be presented to the worker by various methods.
  • the behavior of the worker may be restricted by the movement of the robot. May be included in the logistics system parameters.
  • An example of the control parameter of the robot is a parameter for controlling the moving speed or the moving path of the robot when the robot carries the article.
  • FIG. 6 is an example of a two-dimensional array table of parameters as described above.
  • X 1 to X j assigned to each column correspond to the respective parameters as described above, and the value L of each row of 1 to i is the value of each parameter (that is, the level of each parameter). is there.
  • L 1,1 to L i, 1 are values indicating specific work handled by the worker.
  • a set of j values (for example, L 1,1 to L 1, j ) in one row of the two-dimensional array table is a set of parameter values that can be applied to the logistics system without contradiction and without excess or deficiency.
  • the computer device 106 selects any of the i sets and applies them to the logistics system. That is, each row conditions one logistics system, and the two-dimensional array table in FIG. 6 represents the correspondence between the parameters of the logistics system and the ideal relational expression.
  • FIG. 7 is an explanatory diagram of activity amount data measured by the activity amount sensor in the physical distribution system according to the embodiment of the present invention.
  • the activity amount data is stored in a storage unit (for example, the RAM 403) of the computer device 106.
  • a storage unit for example, the RAM 403
  • Ch 1 to Ch 3 in FIG. 7 correspond to different workers.
  • the activity amount data of each worker includes analysis data and activity band data for each measurement date.
  • the analysis data is activity amount data to be analyzed (acceleration data in this example), and is, for example, time series data including acceleration values repeatedly measured at predetermined intervals.
  • the activity band data is composed of a cumulative amount value that is aggregated every predetermined period (for example, every measurement day).
  • the cumulative amount is an index (for example, the number of appearances or the appearance frequency) indicating the ease of appearance of the activity in each band of the activity amount.
  • the cumulative amount for each band is the amount of movement of the worker during a predetermined period (for example, 1 day or 100 days). This corresponds to the average of each frequency spectrum band.
  • acceleration data measured n times on the first day by the acceleration sensor mounted on the worker corresponding to Ch 1 is D 11 to D 1n
  • acceleration data measured n times on the second day is D 21 to D 2n.
  • the accumulated amounts a 11 , b 12 and C 13 of the first, second and third bands are stored.
  • the acceleration data D m1 to D mn up to the m-th day and the cumulative amounts a m1 , b m2 and C m3 are stored as the activity amount data.
  • FIG. 8 is an explanatory diagram of the cumulative amount calculated from the activity amount in the physical distribution system according to the embodiment of the present invention.
  • This cumulative amount is a graphical representation of the active band data of FIG.
  • the activity band data a 11 to a m1 are cumulative amounts of bands from the acceleration values “4” to “5”.
  • the activity band data b 12 to b m2 are cumulative amounts of bands from the acceleration values “6” to “7”
  • the activity band data c 13 to c m3 are the acceleration values “8” to “7”.
  • a, b, and c of Ch 1 to Ch 3 used for the graph are the results of totaling the cumulative amount of each band for m days (for example, 100 days) of each worker.
  • the cumulative amount of activity shows a downward-sloping distribution that decreases as the amount of activity increases.
  • Daily activity band data varies, but if an incident does not occur for a sufficiently long period (for example, 100 days), the average value for that period is considered to be the average value for sound data. It can be used as ideal data.
  • the Euclidean distance between the two can be calculated as the degree of divergence from the healthy state of the activity band data for each day, but in this embodiment, between the activity band data for each day Considering the correlation, the divergence degree ⁇ is calculated as follows.
  • FIG. 9 is an explanatory diagram of the degree of deviation from the sound state calculated by the computer device 106 in the physical distribution system according to the embodiment of this invention.
  • Table 9 901 contains a value from N 1 N m to each worker in the m's, deviance calculated from the amount of activity when stress is applied to the S t from S 1 chi . These values are stored in the storage unit of the computer device 106. Each row corresponds to each worker N 1 ⁇ N m, each column corresponds to the amount of stress S 1 ⁇ S t. For example, activities calculated deviation degree from the amount of chi 1, 1 when the amount of stress S 1 workers N 1, calculated deviance from the amount of activity when the same worker N 1 stress amount S t is ⁇ 1, t . As described above, the table 901 in FIG. 9 shows the relationship between the stress amount of each worker and the degree of deviation from a healthy activity state.
  • the computer apparatus 106 applies the estimated value Y ( ⁇ e , ⁇ ) of the ideal relational expression by applying the calculation procedure of the following expressions (2) to (9) to the values stored in the table 901 of FIG. obtain.
  • FIG. 10 is an explanatory diagram of the estimated value of the ideal relational expression of the worker calculated by the computer device 106 in the physical distribution system according to the embodiment of the present invention.
  • a table 1001 in FIG. 10 shows a Y value (Y 1 ) corresponding to each level number (1 to L) of each distribution parameter X (X 1 to X i ) calculated by the computer device 106 according to the above equation (9). , 1 to Y i, L ). These values are stored in the storage unit of the computer device 106.
  • the computer device 106 repeatedly executes the above processing for the level numbers of the parameters in rows 1 to i of the two-dimensional array table of FIG. Calculate all field values.
  • the value of Y 1,3 corresponding to the number of levels 3 out of Y 1,1 to Y 1, L corresponding to the number of levels 1 to L of the parameter X 1 If but the smallest, is optimal level number 3 for the parameters X 1. In this way, it is possible to specify an optimum value (number of levels) for minimizing the variation in the deviation degree for each of the distribution system parameters X 1 to X i .
  • the parameters of the logistics system that are highly effective in realizing the linearity of the ideal relational expression representing the basic function of the worker are extracted (that is, the parameters of the logistics system having a high influence on the objective variable are extracted and the parameters are adjusted.
  • the method of approaching the optimal solution will be described.
  • Each row in the table 901 corresponds to one worker N (N 1 , N 2 ,..., N m ).
  • Each column corresponds to a worker stress S (S 1 , S 2 ,..., S n ).
  • S worker stress S
  • This table shows the relationship between the stress of the worker and the degree of deviation ⁇ ( ⁇ 1,1 , ⁇ 1,2 ,..., ⁇ m, n ) from a healthy activity state. This is the same as the description of the method.
  • the computer device 106 evaluates how much each worker contributes to the realization of the linearity of the ideal relational expression, and a worker with a low contribution level (for example, a threshold value with a certain contribution level). Select one low worker or a pair of workers) and improve those workers.
  • the worker N is used as a parameter, but the worker's stress S can also be used as a parameter. In this case, the specific work is described using the component spectrum of the stress S as a feature amount.
  • the computer device 106 uses ⁇ A ( ⁇ A, 1 , ⁇ A, 2 ,...) As the degree of deviation from a healthy activity state of a certain worker (hereinafter referred to as worker A). , ⁇ A, n ), by applying the calculation procedures of the following formulas (10) to (16), it is not a value relating to the entire worker as in the first method, but an ideal relational expression of the worker A An estimated value Y A ( ⁇ Ae , ⁇ A ) is obtained.
  • the computer device 106 Since the estimated value Y A ( ⁇ Ae , ⁇ A ) of the ideal relational expression of the worker A is obtained from the expressions (12) and (16), the computer device 106 estimates the ideal relational expression of this and all the workers. The value Y ( ⁇ e , ⁇ ) is compared. If this is the result of one day, when comparing for 100 days, the correlation of data for 100 days between Y A ( ⁇ Ae ) and Y ( ⁇ e ) is calculated. . The computer device 106 calculates the correlation in the same manner for each worker other than the worker A. Further, the computer device 106 calculates the correlation in the same manner for the interaction between two workers. Since a single worker or a pair of workers whose correlation is lower than a certain threshold is likely to be a cause of dispersal of the ideal relational expression, the computer device 106 makes the operations of those workers stable. Adjust the logistics system parameters.
  • the computer device 106 when the computer device 106 selects one worker whose deviation degree variation exceeds a predetermined threshold, the computer device 106 changes the parameters of the logistics system and calculates the deviation degree of the worker based on the measured activity data. By repeating this process, the parameter of the physical distribution system that minimizes the variation in the deviation degree of the worker may be specified as the parameter that stabilizes the worker's work.
  • the computer device 106 may change the parameters of the logistics system by sequentially selecting each row of the two-dimensional array table 601 in FIG. 6 and applying it to the logistics system. In that case, the values of various parameters such as the work assigned to each worker, the place where each work is performed, and the work manual are sequentially changed. Or the computer apparatus 106 may change only the value which shows the operation
  • the worker having the largest variation may be selected.
  • a group of two or more workers including the selected workers is selected, and the same processing as described above is performed on the set, so that the operations of the selected workers are stable.
  • the parameters of the distribution system to be used may be specified.
  • the parameter value specified in this way is different from the parameter value obtained as the optimum value by the first method, and does not necessarily optimize the whole, but can stabilize the work of the worker to some extent. In addition, it can be obtained with a significantly smaller number of trials compared to the first method. For this reason, for example, when the number of parameters and the number of each level are large and the first method requires a large number of trials, but the system needs to be improved in a short period of time, the second method is It is valid.
  • FIG. 11 is a flowchart showing processing executed by the computer device 106 in the physical distribution system according to the embodiment of the present invention.
  • FIG. 11 summarizes the processing procedures described so far.
  • a user inputs the purpose and target value of human behavior (step 1101).
  • the purpose is to improve the performance
  • the target value is the work amount or work efficiency, and these are considered to correspond to the stress amount.
  • the computer device 106 measures human behavior according to the purpose (step 1102). This corresponds to measuring the amount of activity for a sufficiently long period (for example, 100 days) as described with reference to FIG.
  • the computer device 106 obtains a universal rule governing the human activity balance (step 1103). This corresponds to the process of calculating the cumulative amount described with reference to FIG. If the subject's mental state is healthy, the shapes of the graphs match even if the life patterns differ from day to day, and this can be used as a universal rule. From this step, industry indicators are replaced with psychiatric indicators.
  • the purpose of the psychiatric index is homeostasis (maintaining autonomic homeostasis), and the target value is good adaptability to universal rules governing activity balance, in other words, low degree of divergence.
  • the computer device 106 calculates the frequency spectrum of the acceleration waveform every day, calculates the deviation from the universal rule (step 1104), and further calculates the deviation (standard deviation) of the deviation (step 1106). These steps correspond to the processing described with reference to FIG. 9, equations (1) to (8), and equations (10) to (16).
  • the computer device 106 automatically determines a factor that minimizes the variation in the divergence degree by surrounding improvement or self-improvement, or automatically estimates an adverse factor that increases the variation in the divergence degree (step 1106).
  • the variation of the divergence degree is repeatedly calculated while changing the parameters of the physical distribution system, and the optimum parameter is specified as described with reference to Equation (9), FIG.
  • the second method corresponds to a process of identifying a worker whose deviation degree variation is larger than a predetermined threshold.
  • step 1107 the computer device 106 performs improvement according to the result of step 1106 (step 1107). Specifically, the surrounding environment is prepared according to the parameters of the selected distribution system, the behavior method of each worker is improved, or the worker who is in charge of the work is changed.
  • the computer device 106 determines whether or not the goal has been achieved by the improvement in step 1107 (step 1108). If the goal has been achieved, the processing is terminated. Repeat the process.
  • FIG. 12 is an explanatory diagram of a specific example of an activity amount measured in the physical distribution system according to the embodiment of the present invention and activity band data calculated therefrom.
  • FIG. 12D corresponds to a frequency spectrum of an acceleration waveform indicating the worker's activity.
  • the behavior patterns of the workers vary from day to day, but the tendency of the cumulative amount distribution is similar as shown in FIG. 12 (d).
  • the activity band data obtained from the acceleration data measured for a sufficiently long period (for example, 10 days or 100 days) is used as a universal rule governing the human activity balance.
  • FIG. 13 is an explanatory diagram of a specific example of the divergence degree calculated in the physical distribution system according to the embodiment of the present invention.
  • FIG. 13 shows the divergence calculated for each of the activity amount data of a plurality of workers in an overlapping manner. That is, FIG. 13 is an example of the degree of deviation calculated by the second method.
  • the deviation degree of each worker is represented by an ideal relational expression as shown in FIG.
  • the value obtained from the slope ⁇ of the scatter varies around it.
  • the parameters of the physical distribution system are adjusted by the method described above so that this variation (in other words, variation in the inclination of each worker's degree of deviation) is reduced.
  • the first method is the same as described above in that adjustment is made so that the variation in the degree of deviation calculated from the entire activity amount data of all workers is reduced.
  • the example in which the acceleration measured by the acceleration sensor attached to the worker is used as the activity amount of the worker is shown.
  • the movement amount of the worker, the communication amount between the workers, or the vital sign Activity levels other than acceleration, such as the level of may be used.
  • the stress amount of the worker may include, for example, at least one of the amount of work that each worker is required to perform or the size of a factor that impedes execution of the work.
  • the amount of work required for each worker may be, for example, the total amount (total number, total weight, etc.) of articles that are picked or transported in one day.
  • the magnitude of the factor that hinders the execution of work may be, for example, the degree of poor physical condition due to illness, drinking alcohol, taking medicine, lack of sleep, or the like.
  • the acceleration data measured by the acceleration sensor included in the bracelet type sensor 107 is transmitted to the computer device 106, and the computer device generates the activity band data.
  • a certain amount of calculation processing may be performed.
  • the bracelet type sensor 107 includes a CPU (control unit, not shown) and a memory (storage unit, not shown) in addition to an acceleration sensor (not shown), and the CPU converts activity band data (that is, band) from acceleration data. (Accumulated amount) may be calculated and the result may be transmitted to the computer device 106.
  • the CPU and memory of the bracelet type sensor, the CPU 401 and the RAM 403 of the computer device 106, etc. constitute an information processing device.
  • a primary indicating an ideal relationship between stress and activity based on the stress applied to each worker and the amount of activity of each worker measured for a sufficiently long period of time.
  • the ideal relational equation which is the regression equation of, calculating the degree of divergence from the ideal state (healthy state) of the activity amount for each predetermined period (for example, one day), and reducing the degree of divergence
  • the parameters can be optimized for the entire logistics system by adjusting the parameters so that the variation in the degree of deviation calculated from the activity amount of all workers is reduced.
  • the second method even if a trial experiment by the first method for obtaining the optimum solution in the entire logistics system is not sufficient, it becomes a factor that particularly worsens the variation of the deviation degree.
  • a suitable parameter can be selected to make the basic function robust. At this time, by limiting the parameter to be changed only to the work in charge of the focused worker, a relatively suitable parameter can be selected more easily.
  • each of the above-described configurations, functions, and the like may be realized by software by interpreting and executing a program that realizes each function by the processor.
  • Information such as programs, tables, and files that realize each function is a memory, hard disk drive, storage device such as SSD (Solid State Drive), or computer-readable non-transitory data such as an IC card, SD card, or DVD. It can be stored in a storage medium.

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Abstract

L'invention concerne un dispositif de traitement d'informations comprenant une unité de commande et une unité de mémorisation connectée à l'unité de commande, l'unité de mémorisation conservant des données indiquant la quantité d'activité de chaque personne d'une pluralité de personnes pendant chaque période de périodes de temps et des données indiquant la quantité d'effort de chaque personne pendant des premières périodes prédéfinies. L'unité de commande calcule une quantité accumulée bande par bande de la quantité d'activité pendant les premières périodes prédéfinies ; calcule la divergence de la quantité accumulée pendant chacune des premières périodes prédéfinies par rapport à la quantité accumulée pendant une seconde période prédéfinie comprenant une pluralité des premières périodes prédéfinies ; sur la base de la divergence calculée de la quantité accumulée pendant chacune des premières périodes prédéfinies et de la quantité d'effort pendant chacune des premières périodes prédéfinies, calcule la pente d'une équation de régression de premier ordre ayant la quantité d'effort en tant que variable explicative et la divergence en tant que variable objective ; et calcule la variation de la divergence par rapport à la pente calculée.
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WO2019116834A1 (fr) * 2017-12-13 2019-06-20 パナソニックＩｐマネジメント株式会社 Système d'acquisition de quantité d'activité et procédé d'acquisition de quantité d'activité
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JP2022074508A (ja) * 2020-11-04 2022-05-18 株式会社東芝 負荷推定装置、方法およびプログラム
JP2022109133A (ja) * 2021-01-14 2022-07-27 本田技研工業株式会社 作業システム、制御方法およびプログラム
JP2022177603A (ja) * 2021-05-18 2022-12-01 三菱電機株式会社 安全衛生管理システム
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JP2018206227A (ja) * 2017-06-08 2018-12-27 株式会社日立製作所 計算機及び網の稼働状態の評価方法
WO2019054182A1 (fr) * 2017-09-12 2019-03-21 東洋紡株式会社 Procédé de génération et dispositif de génération d'indice pour déterminer un état neuropsychiatrique
JPWO2019116834A1 (ja) * 2017-12-13 2020-10-22 パナソニックＩｐマネジメント株式会社 活動量取得システム及び活動量取得方法
WO2019116834A1 (fr) * 2017-12-13 2019-06-20 パナソニックＩｐマネジメント株式会社 Système d'acquisition de quantité d'activité et procédé d'acquisition de quantité d'activité
JP2019125249A (ja) * 2018-01-18 2019-07-25 株式会社富士通アドバンストエンジニアリング プログラム，情報処理装置及び情報処理方法
WO2019176991A1 (fr) * 2018-03-13 2019-09-19 オムロン株式会社 Procédé d'annotation, dispositif d'annotation, programme d'annotation et système d'identification
JP2019159819A (ja) * 2018-03-13 2019-09-19 オムロン株式会社 アノテーション方法、アノテーション装置、アノテーションプログラム及び識別システム
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US11599083B2 (en) * 2018-05-31 2023-03-07 Mitsubishi Electric Corporation Work analysis apparatus for analyzing work including series of actions performed by working subject
JP2022074508A (ja) * 2020-11-04 2022-05-18 株式会社東芝 負荷推定装置、方法およびプログラム
JP7504771B2 (ja) 2020-11-04 2024-06-24 株式会社東芝 負荷推定装置、方法およびプログラム
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JP2022109133A (ja) * 2021-01-14 2022-07-27 本田技研工業株式会社 作業システム、制御方法およびプログラム
JP2022177603A (ja) * 2021-05-18 2022-12-01 三菱電機株式会社 安全衛生管理システム

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