JPWO2018189845A1 - Work management system and work management method - Google Patents

Abstract

The work management system retains sensor information including the time series of the position of the worker, acquires the analysis target period, refers to the sensor information, and is the stop-by period during which the worker stopped in the stop-by region in the analysis target period. Determine a stop-by area based on the time series, generate a stop-by history indicating a combination of a stop-by period and a stop-by area, and include a plurality of stop-by histories based on the distance on the time axis of the stop-by period. A work unit group is generated, and data for displaying information indicating a stop-by history belonging to the work unit group is output.

Description

  The present invention relates to a work management system and a work management method.

  In a work environment in which a large number of workers are located in a vast site such as a warehouse or factory, the work instructions and monitoring eyes are not fully covered, and the workers are wasting time, or the manager assumes The worker may perform work different from the work performed. Therefore, it is important for the administrator to know who is doing where, when, and what work, and to manage the state of the operator.

  As background art of this technical field, there is JP-A-2005-181024 (Patent Document 1). In this gazette, "The work management system 1 includes an image pickup device 20 and a server device 60 that are mounted on the worker. The image pickup device 20 includes an image pickup unit 21 that picks up an image of the work range of the worker, and an image pickup unit 21. The communication unit 30 that transmits at least one of the captured image captured by the image capturing device and the generated information generated based on the captured image to the server device 60. The server device 60 receives the image captured by the communication unit 30. A control unit 70 that manages at least one of an image and generated information is provided. ”(See summary).

JP, 2005-181024, A

  When performing the work management using the technique described in Patent Document 1, it is necessary for the administrator to check the camera image for a long time in order to grasp the work content of the worker. In a work environment with many workers, it is very difficult for an administrator to refer to all images of each worker.

  Further, the technique described in Patent Document 1 manages the work by using, for example, a multidimensional code created for each work place or work content, but the work that the administrator does not assume in advance (for example, indirect work, And work that occurs suddenly) cannot be managed.

  Therefore, it is an object of one aspect of the present invention to allow an administrator to manage work including work that is not expected in advance without referring to a large number of images.

  In order to solve the above problems, one embodiment of the present invention employs the following configuration. A work management system, which includes a processor and a memory, the memory holds sensor information including a time series of a position of a worker, the processor acquires an analysis target period, and refers to the sensor information. An area including the position of the worker in the stop-by period based on the time series for each of the stop-by periods. Is determined as a stop-by area, a stop-by history indicating a combination of the stop-by period and the stop-by area is generated, and a work unit group composed of a plurality of stop-by histories based on the distance on the time axis of the stop-by period is created. Data for generating and displaying information indicating the stop-by history belonging to the work unit group is output.

  According to one aspect of the present invention, therefore, one aspect of the present invention allows an administrator to manage work including work that is not expected in advance without referring to a large number of images. Problems, configurations, and effects other than those described above will be clarified by the following description of the embodiments.

It is a block diagram showing an example of system configuration of a 1st example. It is a block diagram which shows the physical structural example of the server of 1st Example. It is a figure which shows the structural example of the work performance database of 1st Example. It is a figure which shows the structural example of the sensor database of 1st Example. It is a figure which shows the structural example of the camera image database of 1st Example. It is a figure which shows the structural example of the master database of 1st Example. It is a flow chart which shows an example of the processing procedure of the 1st example. It is a figure which shows the structural example of the stop-off place extraction object data of 1st Example. It is a flow chart which shows an example of a stop-off place extraction processing of a 1st example. It is a figure which shows the structural example of the stop-off place data of 1st Example. It is a figure which shows the structural example of the stop-off place data of 1st Example. It is a flow chart which shows an example of a stop-off place characteristic extraction processing of a 1st example. It is a figure which shows the structural example of the stop-off place characteristic data of 1st Example. It is a flow chart which shows an example of work unit generation processing of a 1st example. It is a figure which shows the structural example of the work unit data of 1st Example. It is a figure which shows the structural example of the work definition rule data of 1st Example. It is a figure which shows the structural example of the work definition rule data of 1st Example. It is a figure which shows an example of the visualization screen of 1st Example. It is a figure which shows an example of the visualization screen of 1st Example. It is a figure which shows an example of the rule input screen of 1st Example. It is a figure which shows the structural example of the sensor database of 2nd Example. It is a flow chart which shows an example of a stop-off place extraction processing of a 2nd example. It is a figure which shows the structural example of the master database of 2nd Example. It is a flow chart which shows an example of a stop-off place characteristic extraction processing of a 2nd example. It is a figure which shows an example of the visualization screen of a 2nd Example. It is a figure which shows an example of the visualization screen of 3rd Example. It is a block diagram which shows the system structural example of a 5th Example. It is a flow chart which shows an example of the processing procedure of the 5th example. It is a flow chart which shows an example of recommended measurement method generation processing of a 5th example. It is a figure which shows the structural example of the recommended measurement method data of a 5th Example. It is a figure which shows an example of the visualization screen of 5th Example. It is a flow chart which shows an example of the processing procedure of the 6th example. It is a flow chart which shows an example of the comparison work unit extraction processing of a 6th example. It is a figure which shows the structural example of the comparative work unit data of 6th Example. It is a figure which shows an example of the visualization screen of 6th Example.

  Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings. It should be noted that the present embodiment is merely an example for realizing the present invention and does not limit the technical scope of the present invention.

<First Example>
The first embodiment of the present invention, in response to a request from a user, is obtained from one or more work performance data, a worker's position data, a site space, a worker, or a camera installed in a device. A system for executing a process of generating a visualization screen showing a state of an operator from the image data obtained will be described. With this, a visualization screen containing images sufficient for grasping work such as collecting scattered items at a certain place or distributing items placed at a certain place to various places, The system of this embodiment can be created.

  In addition, in the present embodiment, the operator who performs the work is described as a worker, but a machine (for example, a robot) that performs a plurality of types of work may be used. The work is mainly a picking work performed in a warehouse or a manufacturing work performed in a factory, but may be an office work performed in an office.

  FIG. 1A is a block diagram showing a configuration example of a system according to the first embodiment. The system of the first embodiment includes an information management server 110, a calculation processing server 120, a sensor 130, a camera 140, and a computer 150. The information management server 110, the calculation processing server 120, the sensor 130, the camera 140, and the computer 150 are connected to each other by, for example, a network 160. Note that at least two of the information management server 110, the calculation processing server 120, and the computer 150 may be configured by one computer.

  The calculation processing server 120 includes, for example, an unachieved time extraction unit 121, a stop-off place extraction unit 122, a stop-off place characteristic generation unit 123, a work unit generation unit 124, and a visualization generation unit 125. As will be described later with reference to FIG. 1B, the calculation processing server 120 includes a processor 1 that executes a program, and each unit functions by the processor executing a predetermined program.

  The no-actual-time extraction unit 121 extracts a time period in which no work record of the worker is recorded. The stop-off place extracting unit 122 extracts a region where the worker stops and a time when the worker stops at the region in a time period in which no work record is recorded. The stop-off place characteristic generation unit 123 extracts the feature of the place where the worker stops in the time zone when the work record is not recorded. The work unit generation unit 124 uses the feature to identify the time zone in which the worker may have been performing the work in the time zone in which the work record is not recorded. The visualization generation unit 125 generates a visualization screen for visualizing the processing result of each unit.

  The information management server 110 has a work record database 111, a sensor database 112, a camera image database 113, and a master database 114. The information management server 110 has an auxiliary storage device 3 and stores each database in the auxiliary storage device 3, as described later with reference to FIG. 1B. The data stored in the information management server 110 may be input from the computer 150 or acquired from another system.

  The work record database 111 stores work record data in factories and warehouses. The sensor database 112 stores the measurement information of the sensor 130. The camera image database 113 stores information on images captured by the camera 140. The master database 114 stores various definition information such as a capture range that can be captured by the camera 140.

  In this embodiment, the information used by the system may be represented by any data structure without depending on the data structure. For example, a data structure suitably selected from a table, list, database or queue may store the information. Information used by the information storage system is stored in the corresponding data storage area of the data storage device.

  The sensor 130 includes a sensor that acquires position information of the worker. The sensor 130 for acquiring position information is provided, for example, in a terminal having a GPS function, which is carried by a worker during work. Further, the mobile terminal has a function of transmitting a radio wave, and the sensor 130 provided in the receiver installed in the premises in advance and registered with the installation location determines the position by sensing the radio wave. You may.

  The camera 140 includes a camera installed on the site by using a tripod or a jig. Further, the camera 140 may include a wearable camera that can be attached to an operator and a camera that can be attached to a movable device such as a dolly, a cart, or a forklift. The camera 140 may be a camera that shoots a still image or a camera that can shoot a moving image.

  The computer 150 receives an input such as a data processing request from the user, displays the visualization screen output from the visualization generation unit 125, and outputs print data. The computer 150 is configured by a computer having a processor (CPU) that executes programs, a storage device that stores programs and data, a user interface (keyboard, mouse, touch panel, display device, printer, etc.) and a communication interface. In the computer 150, a web browser that provides a user interface may operate or a dedicated program may operate.

  FIG. 1B is a block diagram showing a physical configuration example of a server that constitutes the system of the first embodiment. Although the calculation processing server 120 is described with reference to FIG. 1B, the information management server 110 may have the same configuration. The calculation processing server 120 of the present embodiment is composed of a computer having a processor (CPU) 1, a memory 2, an auxiliary storage device 3 and a communication interface 4.

  The processor 1 executes the program stored in the memory 2. The memory 2 includes a ROM which is a non-volatile storage device and a RAM which is a volatile storage device. The ROM stores an immutable program (for example, BIOS) and the like. The RAM is a high-speed and volatile storage device such as a DRAM (Dynamic Random Access Memory), and temporarily stores a program executed by the processor 1 and data used when the program is executed.

  The auxiliary storage device 3 is composed of, for example, a large-capacity and non-volatile storage device such as a magnetic storage device (HDD) or a flash memory (SSD), and stores a program executed by the processor 1 and data used when the program is executed. Store. That is, the program is read from the auxiliary storage device 3, loaded into the memory 2, and executed by the processor 1.

  The communication interface 4 is a network interface device that controls communication with other devices (such as the computer 150) according to a predetermined protocol.

  The program is executed by the processor 1 to perform predetermined processing while using the memory 2, the auxiliary storage device 3, and the communication interface 4. Therefore, the description using the program as the subject in the present embodiment may be the description using the processor 1 as the subject. Alternatively, the process executed by the program is the process executed by the computer and the computer system on which the program operates.

  The processor 1 operates as a functional unit (means) that realizes a predetermined function by operating according to a program. For example, the processor 1 functions as the no-achievement time extraction unit 121 (no-achievement time extraction means) by operating according to the no-achievement time extraction program, and operates according to the stop-off place extraction program by the stop-by place extraction unit 122 (stop-by place). Function as an extraction means). The same applies to other programs. Further, the processor 1 also operates as a functional unit (means) that realizes each of a plurality of processes executed by each program. A computer and a computer system are devices and systems including these functional units (means).

  The calculation processing server 120 may include the input interface 5 and the output interface 8. The input interface 5 is an interface to which a keyboard 6 and a mouse 7 are connected and which receives an input from an administrator. The output interface 8 is an interface to which a display device 9 and a printer are connected and which outputs the state of the calculation processing server 120 and the execution result of the program in a format that can be visually recognized by an administrator.

  The program executed by the processor 1 is provided to the calculation processing server 120 via a removable medium (CD-ROM, flash memory, etc.) or the network 160 and stored in the non-volatile auxiliary storage device 3 which is a non-temporary storage medium. To be done. Therefore, the calculation processing server 120 preferably has an interface for reading data from the removable medium.

  The computing server 120 is a computer system configured on one computer physically or on a plurality of computers logically or physically configured, and is constructed on a plurality of physical computer resources. It may operate on a virtual computer. Further, the programs executed on the calculation processing server 120 may operate in separate threads on the same computer.

  Further, in the calculation processing server 120, all or a part of the functional units implemented by the program may be configured by a physical integrated circuit (for example, Field-Programmable Gate Array) or the like.

  FIG. 2 is a diagram showing a configuration example of the work record database 111. The work record data stored in the work record database 111 stores, for example, a worker in charge of the work, a work completion time, and information indicating the work content. The work performance data may further store information indicating the work start time.

  The work performance data is created, for example, for the purpose of managing that the handling items in the work (for example, manufactured items in a factory, received items or shipped items in a warehouse) have been properly processed, and The work record is recorded as data every time a certain processed process is completed. Further, the work record data further holds information indicating the start time and end time of each worker.

  FIG. 3 is a diagram showing a configuration example of the sensor database 112. The sensor data stored in the sensor database 112 includes, for example, a measurement target measured by the sensor 130, a sensor value of the measurement target, and information indicating a measurement time. In the example of FIG. 3, the sensor data stores coordinates indicating the position of the worker who is the measurement target measured by the sensor 130.

  FIG. 4 is a diagram showing a configuration example of the camera image database 113. The camera image data stored in the camera image database 113 includes, for example, image data and information related to the image data. The information related to the image data includes, for example, information indicating the camera that acquired the image and information indicating the time when the image was captured. The image in the image data may be a still image or a moving image for a predetermined time.

  FIG. 5 is a diagram showing a configuration example of the master database 114. The master data stored in the master database 114 defines, for example, an area that can be captured by shooting with each camera 140. In the example of FIG. 5, the master data defines the capture area of each camera 140 as a rectangular area, and indicates the coordinates of two diagonal points of the rectangular area. Note that the master data may indicate the rectangular area by indicating the lengths of two sides orthogonal to the coordinates of one reference point of the four points of the rectangular area, for example.

  When the camera 140 is a camera capable of shooting 360 degrees, a wide-angle camera, or the like, the camera 140 can capture a circular or fan-shaped area centered on the position where the camera 140 is installed and having a radius of a predetermined distance. In this case, the master data specifies a circular or fan-shaped area based on the center coordinates, the radius, the start angle viewed from the reference direction, and the angle width from the start angle. Further, when the spatial area on the premises is divided into grids in advance, the master data may indicate the cameras that capture each grid.

  FIG. 6 is a flowchart showing an example of the processing procedure of the first embodiment. First, the unachieved time extraction unit 121 receives an analysis request from the computer 150 (601). The analysis request may be input to the computer 150 by the user, or may be automatically generated by the computer 150 at a predetermined time, for example. Further, the analysis request includes information (for example, worker, work content, period, etc.) designating the analysis target. In the analysis request, all data may be designated as the analysis target.

  Subsequently, the no-actual-time extraction unit 121 acquires the work result information corresponding to the analysis target indicated by the analysis request from the work result database 111, and generates the stop-off place extraction target data shown in FIG. 7 (602).

  The stop-off place extraction target data indicates a time zone in which the work record of the analysis target worker is not recorded at the analysis target time. There is a possibility that the worker will stop somewhere during the time when the work record is not recorded to perform another work or not. The no-actual-time extracting unit 121 generates stop-site extraction target data in order to specify a time period in which no work record is recorded.

  Details of the stop-off place extraction target data generation processing in step 602 will be described below. The no-actual-time extraction unit 121 identifies the work execution time of each work to be analyzed in the work result data. The non-actual result time extraction unit 121 specifies the time from the work start time to the work end time as the work execution time for the work for which both the work start time and the work end time are shown in the work result data.

  Further, the non-actual result time extraction unit 121 specifies, as the work execution time, the time from the time that is a predetermined time backward from the work end time to the work end time for the work whose work result data only shows the work end time. To do. In addition, when the standard time required for the work (standard time) is defined in advance for each work content, the unachieved time extraction unit 121 may use the standard time of the work as the predetermined time.

  For example, the unachieved time extraction unit 121 identifies, for each worker, a time for which there is no work record in the working hours, from the work execution time and the working hours (time from the start time to the end time) of the worker. The no-actual-time extraction unit 121 stores information indicating the worker and information indicating the start time and end time of the identified no-actual-working time in the stop-site extraction target data described below.

  Further, the no-actual-time extraction unit 121 may generate the stop-off place extraction target data as follows. For example, for each worker, the non-actual result time extraction unit 121 retrieves, from the work result data, a work result indicating that the worker is working at the time, and the work result is calculated. Is not present, it is determined that there is no work record at that time. The no-actual result time extraction unit 121 identifies the no-actual result time from the presence or absence of the work result at each time of each worker at a constant interval.

  FIG. 7 is a diagram showing a configuration example of the stop-off place extraction target data. As described above, the stop-off place extraction target data includes an identifier (a stop-off place extraction target data ID) that uniquely identifies each record, information indicating a worker, and information indicating a time without work record of the worker (see FIG. In the example of FIG. 7, the start time and end time of the time without work record are stored.

  The data generated by the calculation processing server 120, such as the stop-off place extraction target data, is stored in the memory 2 or the auxiliary storage device 3 of the calculation processing server 120, for example. In the above example, the no-achievement-time extracting unit 121 stores the information about the no-achievement time in the stop-off place extraction target data, but stores the information about the work time having the work record in the stop-off place extraction target data. Good.

  Returning to the explanation of FIG. Next, the stop-off place extracting unit 122 executes the stop-off place extracting process for generating the stop-off place data shown in FIGS. 9A and 9B by using the stop-off place extraction target data (603).

  A stop-by place of a worker is defined by a stop-by area where the worker stops by and a time zone when the worker stops at the stop-by area. The time zone is defined by the start time and end time included in the stop-off place extraction target data. The details of the stop-off place extraction process will be described below with reference to FIG.

  FIG. 8 is a flowchart showing an example of a stop-off place extraction process. The stop-off place extracting unit 122 selects one unselected record of the stop-off place extraction target data, and obtains the position data of the worker indicated by the selected record at the time without actual result indicated by the selected record from the sensor of the sensor database 112. It is obtained from the data (801).

  The stop-off place extraction unit 122 calculates the moving distance of the worker between the time points at regular intervals using the acquired position data, and calculates the moving speed of the worker between the time points using the calculated moving distance. Yes (802). If the sensor 130 includes a speed sensor that measures the speed of the worker, the stop-off place extraction unit 122 may use the value of the speed sensor as it is. The stop-by place extracting unit 122 determines the time when the worker is moving at a moving speed equal to or lower than a predetermined threshold as the stop-by time (803).

  Subsequently, the stop-off place extracting unit 122 selects one unselected stop-off time from the stop-off times determined in step 803, and calculates the stop-by area using the position data of the worker at the stop-off time ( 804). The stop-by area is an area where the worker stays during the stop-by time.

  The stop-by place extracting unit 122 may determine, for example, a set of circles having a predetermined radius centered on each coordinate in the stop-by time of the worker indicated by the position data, as the stop-by region. Further, the stop-by place extracting unit 122 may determine a region obtained by expanding a locus generated by connecting each coordinate of the worker at the stop-time indicated by the position data by a line with a predetermined width as the stop-by region. ..

  Further, the stop-off place extraction unit 122 is, for example, a region including all coordinates in the stop-by time of the worker indicated by the position data, and a predetermined shape in which the distance between the outer edge of the worker and each coordinate is a predetermined value or less ( For example, an area such as a circle, an ellipse, a rectangle, or a square) may be determined as the stop-by area.

  Further, the stop-off place extracting unit 122 may determine, for example, a predetermined area including a coordinate having the lowest moving speed during the stop-by time (for example, a circle having a predetermined radius centering on the coordinate) as the stop-over area. In addition, when the space is divided into grids in advance, the stop-off place extracting unit 122 may determine a set of grids that partially or wholly overlap with any of the above-mentioned areas as a stop-by area. ..

  Subsequently, the stop-off place extracting unit 122 generates the stop-off place data shown in FIGS. 9A and 9B (805). Specifically, the stop-by place extracting unit 122 associates the stop-by place extraction target data ID, the information indicating the worker, the information indicating the stop-by time, and the information indicating the stop-by region with each other, for example. Store in data.

  In addition, as described above, when the stop-by area is determined using the set of grids, the stop-by place extracting unit 122 stores information indicating the correspondence between the grid and the stop-by area in the stop-by data. Further, the stop-off place extracting unit 122 may store the change value of the sensor value other than the sensor that acquires the position data in the stop-by time in the stop-by place data.

  Then, the stop-off place extraction unit 122 has selected all the stop-by times, that is, whether or not the processes of steps 804 to 805 have been executed for all the stop-by times extracted in step 803. Is determined (806). When it is determined that there is an unselected stop-by time (806: no), the stop-off place extracting unit 122 returns to step 804.

  When it is determined that all the stop-by times have been selected (806: yes), the stop-by place extracting unit 122 determines whether or not all the records of the stop-off place extraction target data have been selected (807). The stop-off place extracting unit 122 determines that there is an unselected record of the stop-off place extraction target data (807: no). Return to step 801. When it is determined that all the records of the stop-off place extraction target data have been selected (807: yes), the stop-off place extraction unit 122 ends the stop-off place extraction processing.

  9A and 9B are diagrams illustrating a configuration example of stop-by place data. In the example of FIG. 9A, the stop-by place data includes an identifier (a stop-by place data ID) that uniquely identifies each record, a stop-by place extraction target data ID, and information indicating a stop-by time (in the example of FIG. 9A, the stop-by time starts). (Time and end time), information indicating a worker corresponding to the stop-by time, and a change value of a sensor value other than the sensor that acquires the position data at the stop-by time are stored.

  Further, the drop-in place data in FIG. 9B stores the identifier of a rectangular grid, the coordinates of the vertices of the grid, and the drop-in place data ID corresponding to the drop-in region including the grid.

  Returning to the explanation of FIG. 6, subsequently, the stop-off place characteristic generation unit 123 executes a stop-off place characteristic generation process for generating stop-off place characteristic data shown in FIG. 11 described later based on the stop-off place data (604). .. Hereinafter, the details of the stop-off place characteristic generation processing will be described with reference to FIG. 10.

  FIG. 10 is a flowchart showing an example of a stop-off place characteristic generation process. First, the stop-off place characteristic generation unit 123 selects one unselected record of the stop-off place extraction target data and acquires all the records corresponding to the stop-off place extraction target data ID of the selected record from the stop-off place data ( 1001).

  That is, the stop-off place characteristic generation unit 123 acquires all combinations of the stop-by areas corresponding to the selected stop-off place extraction target data and the stop-by time (start time and end time). Hereinafter, the concept including the stop-by area and the stop-by time is also called a stop-by place.

  Subsequently, the stop-by place characteristic generation unit 123 classifies the acquired stop-by places into one or more sets (1002). Specifically, for example, the stop-by place characteristic generation unit 123 determines that the stop-by places corresponding to the stop-by areas that partially or wholly overlap belong to the same set. For example, when a part of the stop-by area A and a part of the stop-by area B overlap, and a part of the stop-by area B and a part of the stop-by area C overlap, the stop-by-place feature generation unit 123 determines that the stop-by area A, It is determined that all the stop-by places corresponding to B and C belong to the same set.

  Further, for example, when a part of the stop-by area C and a part of the stop-by area D overlap and the stop-by areas C and D do not overlap with any of the stop-by areas A, B, and C, the stop-by location feature generation unit 123 determines that the stop-by places corresponding to the stop-by areas C and D belong to the same set. The set is different from the set to which the stop-by places corresponding to the stop-by areas A, B, and C belong.

  Next, the stop-off place characteristic generation unit 123 specifies the representative stop-over place and the related stop-by place from the stop-down places belonging to the generated set, and further groups the specified representative stop-by place and the related stop-by place (1003). The relevant group is a group showing a stop-by place where work results are not recorded but there is a high possibility that some work is being performed, and the representative stop-by place is likely to show the feature or important stage of the work. .. The details of the processing in step 1003 will be described below.

  The stop-off place characteristic generation unit 123 divides each set using a predetermined division criterion, and generates one or more small sets. Hereinafter, a method of generating a small set will be described. The stop-by place characteristic generation unit 123 arranges, for each set, the stop-by places belonging to the set on the time axis, for example, in the order of the reference time of each stop-by place. The reference time of the stop-by place may be the start time of the stop-by place, the end time of the stop-by place, or the midpoint between the start time and the end time of the stop-by place. May be.

  For example, in the case of generating a small set from the set A, the stop-by place characteristic generation unit 123, for each combination of stop-by places that are adjacent on the time axis of the set A, the time difference on the time axis and the time difference on the time axis. The evaluation value is calculated using a function having a variable of the number of stop-by places of other sets existing between the combinations. Note that the function is predetermined so that the evaluation value becomes higher as the time difference on the time axis becomes larger and the number of stop-by places of other sets existing between the combinations on the time axis becomes larger. ing.

  When the stop-off place feature generation unit 123 determines that there is a combination of stop-off places of the set A having an evaluation value equal to or larger than a predetermined value, the stop-off place feature generator 123 divides the set A between the respective combinations to generate a small set. When the stop-off place characteristic generation unit 123 determines that there is no combination of the set A having an evaluation value equal to or larger than a predetermined value, the set A itself is treated as a small set without dividing the set A.

  For example, it is assumed that the set A is composed of stop-by places a1, a2, a3, a4, and a5, and is earlier in the order of a1, a2, a3, a4, a5 on the time axis. When the evaluation values in the combinations (a1, a2) and (a3, a4) are greater than or equal to a predetermined value and the evaluation values in the combinations (a2, a3) and (a4, a5) are less than the predetermined value, the stop-by place feature generation unit 123 , A is divided into a set A1 consisting of a1, a set A2 consisting of a2 and a3, and a set A3 consisting of a4 and a5 to generate small sets A1, A2, and A3.

  Subsequently, the stop-off place characteristic generation unit 123 determines whether or not each small set overlaps with another small set on the time axis. Specifically, for example, the stop-by place characteristic generation unit 123 defines, for each small set, a time zone in which the earliest start time of the stop-by place is the start time and the latest end time of the stop-by place is the end time. When at least some of the time zones of the two small sets overlap, the two small sets are assumed to overlap on the time axis. Further, for example, even when there is no overlap in the time zone of the first small set and the second small set, at least a part of the time zone of the first small set and the third small set overlap. , If at least a part of the time period of the second small set and the third small set overlap, it is considered that the first small set and the second small set also overlap on the time axis. ..

  For the small sets that overlap with other small sets on the time axis, the stop-off place characteristic generation unit 123 determines, for example, a stop-down place that belongs to a set having the highest priority in the overlapping small sets as a representative stop-down place. Note that, for example, as the start time is the earliest start time of the stop-off place of the small set and the end time is the latest end time of the stop-by place of the small set, the larger the time width, the higher the priority of the small set. Is large.

  Further, the stop-off place characteristic generation unit 123 determines a stop-over place belonging to a small set that does not overlap with any other small sets on the time axis as a representative stop-over place. That is, the priority of the small set can be considered to be the maximum because there is no overlapping small set.

  In addition, when the stop-off place characteristic generation unit 123 determines that a small set whose priority does not overlap with other small sets on the time axis does not satisfy a predetermined condition, the small set is set as the small set. Merge into a small set with the highest overlapping priority. That is, the stop-off place characteristic generation unit 123 also determines the stop-off place belonging to the integrated small set as the representative stop-over place.

  For example, it is assumed that the small set B and the small set C overlap on the time axis, the priority of the small set B is the maximum, and the priority of the small set C is not the maximum. The stop-off place characteristic generation unit 123 determines, for example, that the difference between the reference time of the small set C (for example, the median or the average value of the reference times of the stop-up places belonging to the set) and the reference time of the small set B is predetermined. If it is less than or equal to the value, it is determined that the small set C satisfies the predetermined condition, and the small set C is integrated into the small set B. The integrated small set is regarded as one small set in the following grouping process.

  The stop-off place characteristic generation unit 123, for example, for a small set A made up of representative stop-off places, a time zone in which the earliest reference time of the representative stop-down place belonging to the small set A is the start time and the latest reference time is the end time, A non-representative stop-off place that is present in is determined as a related stop-off place. The stop-by place characteristic generation unit 123 determines the representative stop-by place included in the small set A and the determined related stop-by place as the same group. The stop-off place characteristic generation unit 123 executes the process for all the small sets of representative stop-off places.

  Subsequently, the stop-off place characteristic generation unit 123 determines whether or not the processes of steps 1001 to 1003 have been executed for all the records of the stop-off place extraction target data (1004). When the stop-off place characteristic generation unit 123 determines that there is a record of the stop-off place extraction target data for which the processing of step 1001 to step 1003 is not executed (1004: no), the process returns to step 1001.

  When it is determined that the processing of steps 1001 to 1003 has been executed for all the records of the stop-off place extraction target data (1004: yes), the stop-off place characteristic generation unit 123 generates the stop-off place characteristic data shown in FIG. 11 described later. (1005), the stop-off place characteristic generation processing is ended.

  FIG. 11 is a diagram showing a configuration example of the stop-off place characteristic data. The drop-in place characteristic data includes, for example, drop-in place data ID of a drop-in place determined to be a representative drop-in place or a related drop-in place, and information indicating whether the drop-in place is a representative drop-in place or a related drop-in place. , And the correspondence with the identifier of the group to which the drop-in place belongs.

  Returning to the explanation of FIG. Next, the work unit generation unit 124 generates work unit data of FIG. 13 described later using the stop-by place characteristic data and the stop-by place data (605). Details of the work unit generation process will be described below with reference to FIG.

  FIG. 12 is a flowchart showing an example of the work unit generation process. The work unit generation unit 124 selects one unselected group from the stop-by place characteristic data, and acquires the stop-by place information corresponding to all the stop-by place data IDs corresponding to the selected group from the stop-by place data (1201). ).

  Subsequently, the work unit generation unit 124 extracts the earliest time and the latest time from the start time and the end time indicated by the acquired information on the stop-by place (1202). The work unit generation unit 124 determines the earliest time and the latest time as the start time and the end time of the group, respectively, and sets the work unit indicating the correspondence between the start time and the end time and the worker and the group as the work unit. It is stored in the unit data (1203).

  That is, the work unit indicates a time zone in which the work performance is not recorded but there is a high possibility that some work has been executed. In addition, in particular, the representative stop-by place in the group of work units is highly likely to be an important base for the work when some work is being executed in the relevant time zone.

  In step 1203, the work unit generation unit 124 compares the acquired information on the stop-by place with the work definition rule data shown in FIGS. 14A and 14B, and estimates the work being executed in the group. The estimated work may be stored in the work unit data.

  Subsequently, the work unit generation unit 124 determines whether or not the processes of steps 1201 to 1203 have been executed in all the groups of the stop-by place characteristic data (1204). When the work unit generation unit 124 determines that there is a group of the stop-off place characteristic data for which the processes of steps 1201 to 1203 have not been executed (1204: no), the work unit generation unit 124 returns to step 1201. If the work unit generation unit 124 determines that the processes of steps 1201 to 1203 have been executed in all the groups of the stop-by place characteristic data (1204: yes), the work unit generation process ends.

  FIG. 13 is a diagram showing a configuration example of work unit data. The work unit data stores, for example, a work unit ID that is a work unit identifier, a group, a start time and an end time of the group, and a worker of the group in association with each other.

  14A and 14B are diagrams showing a configuration example of work definition rule data. The work definition rule data is stored in advance in the auxiliary storage device 3 of the calculation processing server 120 or the information management server 110, for example. The work definition rule data may be stored in the master database 114.

  In the example of FIG. 14A, the work definition rule data stores the correspondence between the rule ID that is the rule identifier and the rule. In the example of FIG. 14A, the work definition rule data includes a rule regarding a start time and an end time of a group, and a rule regarding a stop-by area of a stop-by place included in the group.

  In the example of FIG. 14B, the work definition rule data stores the correspondence between the estimated work, the conditional sentence corresponding to the estimated work, and the priority. The conditional sentence is expressed by, for example, a logical expression of a rule in the work rule data of FIG. 14A. When a certain group satisfies a certain conditional sentence, it is estimated that the estimation work corresponding to the conditional sentence has been executed in the relevant group. When a certain group satisfies the conditions indicated by a plurality of conditional sentences, it is estimated that the estimation work having the highest priority among the estimation works corresponding to the plurality of conditional sentences has been executed in the group.

  Returning to the explanation of FIG. Subsequently, the visualization generation unit 125 uses the data, the work unit data, the stop-off place characteristic data, and the stop-off place data stored in the information management server 110, and the visualization screens illustrated in FIGS. 15, 16, and 17. Is generated and transmitted to the computer 150 (606).

  The computer 150, for example, displays the visualization screen on the display device 9 and stands by to accept an input operation from the user on the visualization screen (607). For example, when the computer 150 does not accept the input operation from the user even after a lapse of a predetermined time from the visualization screen display (607: no), the processing of FIG. 6 is ended. When the computer 150 receives an input operation from the user (607: yes), the computer 150 executes the process corresponding to the input operation by using the calculation processing server 120 as necessary (608), and then the process illustrated in FIG. Ends the process.

  FIG. 15 is a diagram showing an example of the visualization screen. The visualization screen 1500 displays the work status in each time zone for each worker. Specifically, the time zone indicated by the area filled with dots indicates the time zone in which the work record in the work record data exists. Areas filled with other patterns are time zones corresponding to the groups indicated by the work unit data, and are filled with different patterns for each group, for example. FIG. 16 is a diagram showing an example of the visualization screen. In the visualization screen 1600, for example, in the visualization screen 1500, a user selects a time zone of a certain worker, or a combination of a worker and a time zone automatically selected by a predetermined rule is designated. This is the screen to which the transition is made.

  The visualization screen 1600 includes, for example, a map display area 1601, camera image display areas 1602-1604, and a character information display area 1605. The map display area 1601 displays, for example, a route traveled by the worker in the time period, and a representative stopover place of the group and the related stopover place of the worker in the time period on the map.

  The visualization generation unit 125 acquires the coordinate values of the time zone from the sensor database 112 and identifies the route traveled by the worker. Further, for example, the map information of the site is stored in the auxiliary storage device 3 of the information management server 110 in advance. It is desirable that the map information holds the coordinates on the premises and the coordinates at which facilities such as shelves on the premises are arranged.

  The camera image display areas 1602 to 1604 display camera images that capture the stop-by areas of the worker in the time zone. The visualization generation unit 125 refers to the master database 114, identifies a stop-by area of the worker in the time zone, acquires image data of the identified camera in the time zone from the camera image database 113, and acquires the camera image. It is displayed in the display areas 1602-1604.

  In the example of FIG. 16, a star mark indicating a stop-by region is displayed in the map display region 1601. For example, when the star mark is selected, camera image display regions 1602-1604 are displayed. Note that the visualization generation unit 125, for example, particularly for the representative stop-by place, in order to display the time change of the image, the visualization generating unit 125 is a representative in the first half time (for example, after a predetermined time has elapsed from the start time) of the group to which the representative stop-by place belongs. A camera image display area 1602 for displaying an image of a stop-by place and a camera image display area 1604 for displaying an image of a representative stop-by point in the latter half time (for example, a predetermined time before the end time) are generated.

  Note that, in the example of FIG. 16, the visualization generation unit 125 generates two camera image display areas that display the images of the representative stopovers, but the camera image display that displays the images of the representative stopovers at fixed time intervals. Three or more regions may be generated. In addition, the visualization generation unit 125 may generate a plurality of camera image display areas even for a stop-by area other than the representative stop-by area such as a related stop-by area.

  The visualization generation unit 125 may display a still image or a moving image in the camera image display area. Further, for example, the visualization generation unit 125 causes a still image to be displayed in the camera image display area when the visualization screen 1600 is activated, and plays a moving image when a play button or the like included in the camera image display area is selected. It may be allowed to. Further, when the left and right buttons included in the camera image display area are selected, the visualization generation unit 125 may display an image before or after a predetermined time of the still image in the camera image display area. These contents are the same for the camera image display area in other embodiments described later.

  The character information display area 1605 includes, for example, the name of the selected worker, the selected time period, the name of the place of stay of the worker in the time period, and the work performed by the worker in the time period. Display estimated work etc.

  FIG. 17 is a diagram showing an example of the rule input screen. A rule input screen 1700, which is an example of a visualization screen, is a screen for inputting rules stored in the work definition rule database. The rule input screen 1700 includes, for example, a target input area 1701, a conditional statement input area 1702, a logical operator selection area 1703, an estimated work input area 1704, and a registration button 1705.

  The target input area 1701 is an area for receiving an input of a target (a worker, a stop-by area, a stop-by time, etc.) that defines a condition. The conditional statement input area 1702 is an area for inputting a conditional statement about the target. The logical operator selection area 1703 is an area for selecting a logical operator such as “AND” or “OR”.

  The estimated work input area 1704 is an area for inputting estimated work when the rules input to the target input area 1701, the conditional statement input area 1702, and the logical operator selection area 1703 are satisfied. The registration button 1705 is a button for registering the contents input in the target input area 1701, the conditional statement input area 1702, the logical operator selection area 1703, and the estimated work input area 1704 in the work definition rule database. The rule input screen 1700 may further include an area for inputting the priority of the estimation work.

  The calculation processing server 120 of the present embodiment extracts the stop-by places during the time period when the work record of the worker is not recorded, identifies the representative stop-by place and the related stop-by places from the stop-by places, and groups them. By performing the process, the calculation processing server 120 can identify the time zone and the place where the worker is likely to be performing some work although the work record of the worker is not recorded. it can. In addition, the calculation processing server 120 does not use data (work performance data, sensor data, etc.) of other workers for a certain worker, and uses only the data of the worker to determine the time zone and the location. Can be specified.

  In addition, the calculation processing server 120 displays the image of the worker at the location in the time zone, so that the user does not refer to a large number of images and does not record the work record in the time zone. The work of the worker can be efficiently grasped, which in turn improves the quality of work management.

<Second embodiment>
The calculation processing server 120 of the present embodiment further uses a sensor value for measuring the weight of a transportation device such as a trolley, a cart, or a forklift to generate a visualization screen showing the state of the worker. As a result, the calculation processing server 120 of the present embodiment executes the work of collecting or distributing the articles while circulating the shelves and the like, such as the collection of waste materials, even in the time zone when the work record of the worker is not recorded. It is possible to generate a visualization screen including an image showing a state of being displayed.

  Hereinafter, differences from the first embodiment will be described. The sensor 130 includes a sensor for measuring the position of the worker and a sensor for measuring the weight of an object mounted on a carrier device such as a cart, a cart, or a forklift. The information management server 110 of this embodiment has a sensor database 112 shown in FIG. 18 in addition to the sensor database 112 that stores the position information data shown in FIG.

  FIG. 18 is a diagram showing a configuration example of the sensor database 112. The sensor database 112 of FIG. 18 corresponds, for example, to an identifier of a carrier such as a trolley, a cart, or a forklift, information indicating the weight of an object mounted on the carrier measured by the sensor 130, and a measurement time. Hold.

  The overall processing in the second embodiment is similar to the processing procedure of the first embodiment shown in FIG. However, detailed processing of steps 603, 604, and 605 is different. Hereinafter, these processes in this embodiment will be described.

  FIG. 19 is a flowchart showing an example of the stop-off place extraction processing in step 603 of this embodiment. The stop-off place extracting unit 122 selects one unselected record of the stop-off place extraction target data, and obtains the position data of the worker indicated by the selected record at the time without actual result indicated by the selected record from the sensor of the sensor database 112. It is obtained from the data (1901).

  Subsequently, the stop-off place extraction unit 122 acquires information about a transportation device that accompanies the worker during the time when the worker has no actual result (1902). In step 1902, the stop-off place extraction unit 122 refers to, for example, the master database 114 shown in FIG.

  FIG. 20 is a diagram showing a configuration example of the master database 114. The master database 114 of the present embodiment stores the master data shown in FIG. 5, which stores information indicating the usage status of the transportation equipment, in addition to the master data which stores the capture range of the camera shown in FIG.

  The master data stored in the master database 114 of FIG. 20 stores information indicating a correspondence between a transport device, a worker, and a start time and an end time when the worker uses the transport device. That is, the master data is, for example, information generated by login and logout information of an electrically equipped cart.

  In step 1902, the stop-off place extracting unit 122 refers to the master database 114 in FIG. 20, and is a transporting device corresponding to the worker, and at least a part of the time zone until the start time and the end start time is concerned. Identify the transportation equipment that is included in the time when the worker has no actual results. The user may be uniquely determined for each carrying device, or the carrying device may be uniquely determined for each user.

  When the sensor 130 for measuring the position is attached to each of the transportation devices, the stop-off place extraction unit 122 refers to the sensor database 112 of FIG. 3 in step 1902, and refers to the sensor database 112 of FIG. The position information and the position information of each transportation device in the relevant time zone may be collated with each other to identify the transportation device accompanied by the worker in the non-performance time zone.

  Next, the stop-off place extraction unit 122 acquires the data of the weight sensor in the time zone without actual results of the transportation equipment that was accompanied by the worker from the sensor database 112, and acquires the sensor value change time and the sensor change value. (1903). In the example of FIG. 18, the sensor database 112 stores the values of the weight sensor at fixed time intervals. It should be noted that the weight sensor data stored in the sensor database 112 has noise removed by analog filter or digital filter processing in advance, and a change in the value at the timing when the article is taken out of the carrying device or taken in can be determined. The data.

  In step 1903, the stop-off place extraction unit 122 determines when the absolute value of the sensor value difference due to this change (hereinafter, also referred to as sensor change value) is a threshold value or more (hereinafter, also referred to as sensor value change time), and the sensor. The change value and are obtained.

  Subsequently, the stop-off place extraction unit 122 selects one sensor value change time from the sensor value change times acquired in step 1903, and determines the position of the worker or the transport device at the selected sensor value change time from the sensor database 112. A stop-by area is determined based on the acquired position data. Specifically, the stop-by place extracting unit 122 determines, for example, a circle having a predetermined radius centered on the coordinates indicated by the acquired position data, as a stop-by region corresponding to the sensor value change time.

  In addition, the stop-off place extraction unit 122, for example, in a predetermined width including the sensor change time, a region of a predetermined shape including a route in which the position of the worker or the transportation device is connected by a line in chronological order, You may determine to the stop-by area corresponding to the change time. The route having the predetermined width is an example of the region having the predetermined shape.

  In addition, the stop-off place extraction unit 122 divides the space into grids in advance, and determines a set of grids partially or wholly overlapping any of the above-mentioned areas as a stop-by area at the sensor value change time. May be.

  Then, the stop-off place extraction unit 122 determines the worker, the start time and the end time of the time of the predetermined width (the predetermined width is 0 or more) including the sensor value change time, and the sensor change value at the sensor value change time. And the stop-by area are stored in the stop-by place data in association with each other (1905).

  Subsequently, the stop-off place extraction unit 122 executes the processing of steps 1904 to 1905 for whether or not all the sensor value change times have been selected, that is, for all the sensor value change times acquired in step 1903. It is determined whether or not (1906). When it is determined that there is an unselected sensor value change time (1906: no), the stop-off place extraction unit 122 returns to step 1904.

  When it is determined that all the sensor value change times have been selected (1906: yes), the stop-off place extraction unit 122 determines whether all the records of the stop-off place extraction target data have been selected (1907). ). The stop-off place extracting unit 122 determines that there is an unselected record of the stop-off place extraction target data (1907: no). Return to step 1901. When it is determined that all the records of the stop-off place extraction target data have been selected (1907: yes), the stop-off place extraction unit 122 ends the stop-off place extraction processing.

  FIG. 21 is a flowchart showing an example of the stop-off place feature generation processing in step 604 of this embodiment. First, the stop-off place characteristic generation unit 123 selects one unselected record of the stop-off place extraction target data (2101). Next, the stop-off place characteristic generation unit 123 acquires all the records corresponding to the stop-off place extraction target data ID of the record selected in step 2101 from the stop-off place data, and selects one unselected record from the acquired records. Yes (2102).

  The stop-by place characteristic generation unit 123 determines whether the sensor value of the weight sensor has decreased or increased during the stop-by time of the stop-by place (hereinafter also referred to as the target stop-by place) indicated by the selected record (2103). First, the processing of steps 2104 to 2106 when the stop-off place characteristic generation unit 123 determines in step 2103 that the sensor value of the weight sensor has decreased will be described.

  The stop-off place characteristic generation unit 123 obtains the stop-by places acquired in step 2101 for all the stop-off places that include at least a part of the stop-by time in a time range of a predetermined width whose end time is the start-time of the stop-by time of the target stop-by place. It is extracted from the stop-by place corresponding to the data record (2104).

  Subsequently, the stop-off place characteristic generation unit 123 determines whether the stop-off place extracted in step 2104 satisfies a predetermined condition (2105). The predetermined condition when the sensor value of the weight sensor decreases in step 2103 is that the sensor value of the weight sensor in the stop-by place extracted in step 2104 tends to increase. The fact that the sensor value of the weight sensor at the stop-by place extracted in step 2104 tends to increase means, for example, that the ratio of the stop-by place where the sensor value of the weight sensor has increased is equal to or more than a predetermined value. Is shown.

  When the stop-by place characteristic generation unit 123 determines that the stop-by place extracted in step 2104 satisfies the predetermined condition (2105: yes), it generates a work unit candidate time zone (2106).

  Specifically, the stop-off place characteristic generation unit 123 determines, after the change in the sensor value indicated by the weight sensor and the change in the weight sensor at the target stop-by place (after reduction), from the stop-by place corresponding to the record of the stop-by place data acquired in step 2101. ) Is less than a predetermined value, and the stop-time (start time or end time) of the stop-off time is the most among the stop-by places that include the time before the start time of the stop-off time of the target stop-by place. Identify a late stop. The stop-by place characteristic generation unit 123 determines a time period from the start time of the stop-by time of the specified stop-by place to the end time of the stop-by time of the target stop-by place as a work unit candidate time zone.

  When the stop-off place characteristic generation unit 123 determines that the stop-off place extracted in step 2104 does not satisfy the predetermined condition (2105: no), the stop-on place feature generation unit 123 transitions to step 2107.

  Hereinafter, the processing of steps 2104 to 2106 when the stop-by place characteristic generation unit 123 determines in step 2103 that the sensor value of the weight sensor has increased will be described.

  The stop-by place characteristic generation unit 123 obtains all the stop-by places acquired in step 2101, in which the stop-by time of the target stop-by place is the end time of the stop-by time, and the stop-time is at least part of the stop-by time within a predetermined time range. It is extracted from the stop-by place corresponding to the data record (2104).

  Subsequently, the stop-off place characteristic generation unit 123 determines whether the stop-off place extracted in step 2104 satisfies a predetermined condition (2105). The predetermined condition when the sensor value of the weight sensor increases in step 2103 is that the sensor value of the weight sensor in the stop-by place extracted in step 2104 tends to decrease. The fact that the sensor value of the weight sensor at the stop-off place extracted in step 2104 tends to decrease means, for example, that the ratio of the stop-off place where the sensor value of the weight sensor has decreased is equal to or more than a predetermined value. Is shown.

  When the stop-by place characteristic generation unit 123 determines that the stop-by place extracted in step 2103 satisfies the predetermined condition (2105: yes), it generates a work unit candidate time zone (2106).

  Specifically, the stop-by place characteristic generation unit 123 determines, after the stop-by place corresponding to the record of the stop-by place data acquired in step 2101, the sensor value indicated by the weight sensor and the change of the weight sensor at the target stop-by place (after the increase). ) Is less than or equal to a predetermined value, and the stop time (start time or end time) is the most of the stop points that include the time after the end time of the stop time of the target stop location in the stop time. Identify an early stop. The stop-by place characteristic generation unit 123 determines a time period from the start time of the stop-by time of the target stop-by place to the end time of the stop-by time of the specified stop-by place as the work unit candidate time period.

  When the stop-off place characteristic generation unit 123 determines that the stop-off place extracted in step 2104 does not satisfy the predetermined condition (2105: no), the stop-on place feature generation unit 123 transitions to step 2107.

  Subsequently, the stop-off place characteristic generation unit 123 determines whether or not all stop-by places have been evaluated, that is, whether or not all the records acquired in step 2102 have been selected (2107). When the stop-off place characteristic generation unit 123 determines that there is an unevaluated stop-by place (2107: no), the process returns to step 2102.

  When it is determined that all the stop-by places have been evaluated (step 2107: yes), the stop-by feature generation unit 123 generates a representative stop-by place (2108). Specifically, for example, the stop-off place characteristic generation unit 123 compares the work unit candidate time zones generated in step 2106, and handles the work unit candidate time zones that do not overlap with all other work unit candidate time zones. The target stop point is determined as the representative stop point.

  Further, for the work candidate time zones that overlap with other work candidate time zones, the stop-off place characteristic generation unit 123 represents the target stop location corresponding to the longest work unit candidate time zone among the work candidate time zones as a representative stop-off place. To decide. Note that, for example, when at least a part of the work candidate time zones overlap, the work candidate time zones are considered to overlap. Further, for example, even when there is no overlap between the first work unit candidate time zone and the second work unit candidate time zone, at least the first work unit candidate time zone and the third work unit candidate time zone are included. When some of them overlap and at least some of the second work unit candidate time zone and the third work unit candidate time zone overlap, the first work unit candidate time zone and the second work unit candidate time zone Belts are also considered duplicates.

  Subsequently, the stop-off place characteristic generation unit 123 generates a related stop-by place (2109). Specifically, for example, the stop-by place characteristic generation unit 123, for each representative stop-by place, of the stop-by places corresponding to the record of the stop-by place data acquired in step 2101, the candidate work time zone corresponding to the representative stop-by place. A stop-by place that includes at least a part of the stop-by time is determined as a related stop-by place belonging to the same group as the representative stop-by place.

  Subsequently, the stop-off place characteristic generation unit 123 determines whether or not all the records of the stop-off place extraction target data have been selected in step 2101 (2110). When the stop-off place characteristic generation unit 123 determines that there is an unselected record of the stop-off place extraction target data (2110: no), the process returns to step 2101. When the stop-off place characteristic generation unit 123 determines in step 2101 that all the records of the stop-off place extraction target data have been selected (S2110: yes), the stop-off place feature data is generated (1005), and the stop-off place feature extraction is performed. The process ends.

  FIG. 22 is a diagram showing an example of the visualization screen. Differences from FIG. 16 will be described. In the example of FIG. 16, the work based on the place where the worker repeatedly visits was visualized. Or the work based on the place where the collected material is taken out is visualized.

  The visualization screen 2200 includes, for example, a map display area 1601, camera image display areas 2202 to 2204, a character information display area 1605, and a weight sensor value time series display area 2206. In the camera image display areas 2202 to 2204, in addition to the information displayed in the camera image display areas 1602 to 1604 of FIG. 16, for example, at the time corresponding to the camera image, for example, the weight sensor of the carrying device accompanying the worker. The sensor value of is displayed. The weight sensor value time-series display area 2606 displays a time-series change in the sensor value of the weight sensor of the transportation device that accompanies the worker in the designated time zone.

  The calculation processing server 120 of the present embodiment identifies the representative stopover place and the related stopover place from the stopover place and classifies them into groups by using the sensor value of the weight sensor of the transportation device that accompanies the worker. By performing the processing, the calculation processing server 120 does not record the work record of the worker when the worker uses the transport device, but the worker may perform some work. High time zones and places can be specified with high accuracy.

<Third embodiment>
Differences from the first embodiment will be described. In step 602, the calculation processing server 120 of the present embodiment does not execute the stop-point extraction target data generation processing, displays the visualization target setting screen shown in FIG. 23 on the computer 150, and the user Receives an input of a value stored in each cell of the stop-off place extraction target data.

  FIG. 23 is an example of the visualization target setting screen. The visualization target setting screen 2300 includes, for example, a warehouse input area 2301, a worker input area 2302, a start time input area 2303, and an end time input area 2304. The warehouse input area 2301 is, for example, an area for inputting information that specifies the warehouse when the warehouse to be analyzed is restricted within the site.

  The worker input area 2302 is an area for inputting information for specifying a worker such as a worker ID or a worker name in the stop-off place extraction target data. The start time input area 2303 is an area for inputting information for specifying the start time in the stop-off place extraction target data. The end time input area 2304 is an area for inputting information specifying the end time in the stop-off place extraction target data.

<Fourth Embodiment>
Differences from the first embodiment will be described. The calculation processing server 120 of the present embodiment automatically executes the process of step 602, for example, every time a record is stored in the work record data, without receiving the request of step 601.

  The unachieved time extraction unit 121 sends an alert to the computer 150 as soon as a time zone in which the worker has no work record is found, and the visualization generation unit 125 further calculates the visualization screen of the worker in the time zone. Output to 150. In this case, the visualization generation unit 125 preferably outputs the visualization screen 1600 or the visualization screen 2200 without outputting the visualization screen 1500. The calculation processing server 120 of the present embodiment executes the processing, so that the user can quickly grasp the worker who has no work record and can promptly follow the worker.

  The calculation processing server 120 may limit the records of the drop-in place extraction target data of the processing target after step 603 to the records corresponding to the worker and the time zone to be particularly careful. For example, the no-actual-time extraction unit 121 refers to the stop-site extraction target data, and when the no-work-achievement time has occurred for a worker whose ratio of the no-work result time is a predetermined value or less in the past, The time without work record is determined as the worker who should pay particular attention and the time zone that requires special attention.

  In addition, for example, when a certain worker has a time without a work result of a predetermined time or more, the unachieved time extraction unit 121 pays particular attention to the worker and the time without a work result, and particularly pays attention to the worker. Decide when to go.

  The timing at which the calculation processing server 120 outputs the alert to the computer 150 may be the timing at which the record of the stop-off place extraction target data corresponding to the worker and the time zone to be particularly noted is generated, or the visualization may be performed. It may be the timing when the generation process is executed.

<Fifth Embodiment>
The calculation processing server 120 of the present embodiment determines whether or not there is a camera that captures a stop-by place, and evaluates the effect when the camera is attached to each worker, each area, each device, or the like. Hereinafter, differences from the first embodiment will be described.

FIG. 24 is a block diagram showing a configuration example of the system of the fifth embodiment. The calculation processing server 120 further includes a recommended measurement method generation unit 126, and executes recommended measurement method generation processing described later.

  FIG. 25 is a flowchart showing an example of the processing procedure of the fifth embodiment. After the processing of step 605 is executed, the recommended measurement method generation unit 126 generates a recommended measurement method (2501), and the process transitions to step 606. Hereinafter, the recommended measurement method generation processing in step 2501 will be described.

  FIG. 26 is a flowchart showing an example of the recommended measurement method generation processing. The recommended measurement method generation unit 126 selects an unselected stop-by place, that is, an unselected stop-by place data ID, and acquires a record corresponding to the selected stop-by place data ID from the stop-by place data (2601).

  Next, the recommended measurement method generation unit 126 refers to the master database 114 and determines whether there is a camera that captures the stop-by area at the stop-by time of the stop-by place corresponding to the record acquired in step 2601 (2602).

  The recommended measurement method generation unit 126 determines whether or not all the stop-by places have been selected in step 2601 (2603). When the recommended measurement method generation unit 126 determines that there is an unselected stop-by place (2603: no), the recommended measurement method generation unit 126 returns to step 2601. When the recommended measurement method generation unit 126 determines that all of the stop-by spots have been selected (2603: yes), the recommended measurement method generation unit 126, for each worker, for each spatial area (for example, for each grid), and for transportation. For each device, the totaling of the time that cannot be captured by the camera is executed (2604).

  Specifically, for example, the recommended measurement method generation unit 126 uses the determination result in step 2602 to calculate the capture evaluation value for each space region and transportation device. The recommended measurement method generation unit 126 captures, for example, the ratio of the total stop-time time when the camera cannot capture the stop-by area of the worker to the total stop-time time of the stop-by place of the worker for the worker. Calculate as an evaluation value.

  Also, the recommended measurement method generation unit 126, for example, the ratio of the total stop-by time of the representative stop-by place where the worker could not be captured by the camera to the total stop-by time of the representative stop-by place of the worker, It may be calculated as a capture evaluation value for the person. As a result, the recommended measurement method generation unit 126 can calculate an evaluation value that places importance on the representative stop-by place. Further, the recommended measurement method generation unit 126 may calculate the total stop-time time when the camera cannot capture the stop-by area of a certain worker as the capture evaluation value for the worker.

  The recommended measurement method generation unit 126 captures, for example, the ratio of the total stop-by time when the camera cannot capture the area to the total stop-by time of the stop-by area corresponding to the stop-by area including a certain area. Calculate as an evaluation value.

  Further, the recommended measurement method generation unit 126, for example, the ratio of the total stop-by time of the representative stop-by place where the camera cannot capture the area to the total stop-by time of the representative stop-by place corresponding to the stop-by area including a certain area. May be calculated as a capture evaluation value for the region. Further, the recommended measurement method generation unit 126 may calculate the total stop-time time when a camera cannot capture a certain area as the capture evaluation value for the area.

  The recommended measurement method generation unit 126, for example, with respect to the total stop-by time of a stop-by place including a stop-by region visited by a certain transport device, the ratio of the total stop-by time when the camera cannot capture the stop-by region, It is calculated as a capture evaluation value for.

  In addition, the recommended measurement method generation unit 126, for example, with respect to the total stop-time of the representative stop-by place including the stop-by region visited by a certain transportation device, the total stop-by time of the representative stop-by place where the camera cannot capture the stop-by region. The ratio may be calculated as the capture evaluation value for the transportation device. In addition, the recommended measurement method generation unit 126 may calculate the total stop-time time when a camera cannot capture the stop-by area visited by a certain transport device, as the capture evaluation value for the transport device.

  Subsequently, the recommended measurement method generation unit 126 generates, for example, the recommended measurement method data shown in FIG. 27 (2605) and ends the recommended measurement method generation processing.

  FIG. 27 is a diagram showing a configuration example of recommended measurement method data. The recommended measurement method data indicates, for example, the correspondence with the target, the format, and the capture available time. For example, in the record of the first line of the recommended measurement method data, a spatial fixed camera is installed at the position “A001” to capture an image of the stop-by region included in the stop-by place data of the analysis target for an additional 31.1 hours. Show that you will be able to.

  Similarly, the record of the second line of the recommended measurement method data is that when the wearable camera is attached to the worker “W0001”, the image of the stop-by region included in the stop-by place data of the analysis target is further added for 4.5 hours. Indicates that it can be captured. Similarly, in the record of the third line of the recommended measurement method data, when the fixed camera of the equipment is attached to the equipment “M01”, the images of the stop-by areas included in the stop-by place data of the analysis target are further recorded for 3.8 hours. Indicates that it can be captured. The capture available time is an example of the capture evaluation value described above.

  FIG. 28 is a diagram showing an example of the visualization screen. The visualization generation unit 125 of this embodiment further generates, for example, a visualization screen 2800 in the visualization screen generation process of step 606. The visualization screen 2800 includes, for example, a recommended measurement method display area 2801, a map information display area 2803, and a character information display area 2804.

  The recommended measurement method display area 2801 displays a list of recommended measurement method data, for example. The map information display area 2803 displays the map information corresponding to the record selected in the recommended measurement method display area 2801. In the example of FIG. 28, the record 2802 of the recommended measurement method display area 2801 is selected, the stop-by place is displayed in the map information display area 2803, and the position of the target “A001” is displayed in the map as the recommended camera position. It is displayed.

  Further, in the map information display area 2803, the stop-by place indicated by the star mark connected to the star mark indicating the recommended camera position by a line can be newly captured when the space fixed camera is installed at the recommended camera position. It is a stopover.

  The character information display area 2804 displays, for example, character information corresponding to the record selected in the recommended measurement method display area 2801. In the example of FIG. 28, the record 2802 in the recommended measurement method display area 2801 is selected, and in the character information display area 2804, the information of the space fixed camera, the information of the target “A001”, and the capture possible time are displayed. ..

  The calculation processing server 120 according to the present exemplary embodiment uses the above-described processing to reduce the occurrence of a situation in which the screen of the stop-by place cannot be output because the camera 140 that captures the stop-by place does not exist. And the installation method can be output.

<Sixth embodiment>
The calculation processing server 120 according to the present exemplary embodiment evaluates the similarity of work units between workers. The differences from the first embodiment will be described below.

  FIG. 29 is a flowchart showing an example of the processing procedure of the sixth embodiment. The analysis request in step 601 includes at least the analysis target worker, and may further include the comparison target worker. In steps 602 to 605, stop-off place extraction target data, stop-off place data, stop-off place characteristic data, and work unit data are generated for the worker included in the analysis request.

  After the processing of step 605 is executed, the work unit generation unit 124 executes the comparison work unit extraction processing (2901), and proceeds to step 606. Hereinafter, the comparison work unit extraction processing in step 2901 will be described.

  FIG. 30 is a flowchart showing an example of the comparison work unit extraction process. First, the work unit generation unit 124 extracts a record of the work unit data of the analysis target worker (3001). Subsequently, the work unit generation unit 124 selects one unselected record from the records of the acquired work unit data (3002).

  Subsequently, the work unit generation unit 124 extracts a record of the work unit data of the comparison target worker when the analysis request includes the comparison target worker, and analyzes the record when the analysis request does not include the comparison target worker. All the workers other than the target worker are set as the comparison target workers, and the records of the work unit data of the comparison target workers are extracted. The work unit generation unit 124 evaluates the degree of similarity between the work unit of the analysis target worker selected in step 3002 and each of the work units of the comparison target workers (3003).

  The work unit generation unit 124 calculates the degree of similarity using, for example, an increasing function of the variable, which has a variable of the degree of overlap of the stop-by areas of the stop-by places indicated by the two work units. The degree of overlap of the stop-by areas has a larger value, for example, as the number of overlapping stop-by areas increases. It should be noted that “two stop areas overlap” may mean that at least a part of the two stop areas overlap, and the distance between one stop area and the other stop area is a predetermined value. It may mean the following. Further, the degree of overlap of the stop-by areas may be a larger value as the area of the stop-by areas that overlap is larger.

  Further, the work unit generation unit 124 calculates the degree of similarity by using, for example, an increasing function of the variable, which has, as a variable, the overlapping degree of the combination of the stop-by areas and the stop-by times of the two stop points. Good. The overlapping degree of the combination has a larger value, for example, as the number of sets of overlapping combinations increases. It should be noted that “two sets of combinations overlap” means that the stop-by areas of the two sets of combinations overlap and the stop-by times of the two sets of combinations overlap. In addition, "two stop times overlap" may mean that at least a part of the two stop times overlap, and an earlier time of the end times of the two stop times and two end times. It may mean that the difference between the start time of the stop-by time and the start time later than the predetermined time is less than or equal to a predetermined value.

  Subsequently, the work unit generation unit 124 determines whether the processing has been performed for all work units of the analysis target person, that is, all the records of the work unit data acquired in step 3001 have been selected (3004). When the work unit generation unit 124 determines that there is an unprocessed work unit of the analysis target person (3004: no), the work unit generation unit 124 returns to step 3002.

  When it is determined that the data processing has been performed for all the work units of the analysis target person (3004: yes), the work unit generation unit 124 generates, for example, the comparison work unit data shown in FIG. 31 (3005) and compares The work unit extraction process ends. Although the example in which the analysis target worker and the comparison target worker are different has been described, for example, the work unit generation unit 124 may compare the work units of different dates of the same analysis target worker.

  FIG. 31 is a diagram showing a configuration example of comparison work unit data. The comparison work unit data indicates the correspondence between the work unit ID of the analysis target worker, the work unit ID of the comparison target worker, and the degree of similarity. The work unit generation unit 124 adds a record to the comparison work unit data in step 3004 for a combination of work units whose similarity calculated in step 3003 is a predetermined value or more, for example.

  FIG. 32 is a diagram showing an example of the visualization screen. The visualization generation unit 125 of this embodiment further generates, for example, a visualization screen 3200 in the visualization screen generation process of step 606. The visualization screen 3200 includes an analysis target worker information display area 3201, a similar work unit information display area 3203, a map information display area 3206, a character information display area 3207, a camera image display area 3205, and a camera image display area 3208. Including.

  The analysis-target worker information display area 3201 displays information indicating a work unit of the analysis-target worker, a stop-by area and a stop-by time of a stop-by place belonging to the work unit. The similar work unit information display area 3203 is a work unit whose similarity to the work unit selected in the analysis target worker information display area 3201 is a predetermined value or more (that is, a work unit specified from the comparison work unit data). The list information indicating the worker, the stop-by region and the stop-by time of the stop-by place belonging to the work unit is displayed.

  In the example of FIG. 32, the record 3202 is selected in the analysis target worker information display area 3201, and the work unit information whose similarity to the work unit “00001” indicated by the record 3202 is a predetermined value or more is similar work. It is displayed in the unit information display area 3203.

  The camera image display area 3208 displays an image in the work unit selected in the analysis target worker information display area 3201 (for example, an image at the stop time of the stop area indicated by the representative stop location belonging to the work unit). In the example of FIG. 32, the record 3202 is selected in the analysis target worker information display area 3201, and the image at the stop-by time of the stop-by area indicated by the representative stop-by place of the work unit “00001” indicated by the record 3202 is the camera-image display area 3208. Is displayed in.

  The camera image display area 3205 displays an image in the work unit selected in the similar work unit information display area 3203 (for example, an image at the stop time of the stop area indicated by the representative stop location belonging to the work unit). In the example of FIG. 32, the record 3204 is selected in the similar work unit information display area 3203, and the image at the stop time of the stop area indicated by the representative stop location of the work unit “00002” indicated by the record 3204 is displayed in the camera image display area 3205. It is displayed.

  The map information display area 3206 includes, for example, the stop points in the work unit selected in the analysis target worker information display area 3201 and the movement path of the worker, and the stop points belonging to the work unit selected in the similar work unit information display area 3203. The points and the moving route of the worker are displayed on the map.

  The character information display area 3207 is, for example, the required time (time from the start time to the end time) of the work unit selected in the analysis target worker information display area 3201 and the work unit selected in the similar work unit information display area 3203. , And the estimated work of the work unit selected in the analysis target worker information display area 3201 and the work unit selected in the similar work unit information display area 3203.

  The calculation processing server 120 of the present embodiment can extract the workers who are performing similar work during the time period when the work record is not recorded by the above-described processing. By this, the user can compare images of the work in which the similar work is performed, and by extension, extract the task for the worker education and utilize the visualization screen as the educational instruction material for the worker. You can

  It should be noted that the present invention is not limited to the above-described embodiments, but includes various modifications. For example, the above-described embodiments have been described in detail for the purpose of explaining the present invention in an easy-to-understand manner, and are not necessarily limited to those having all the configurations described. Further, a part of the configuration of one embodiment can be replaced with the configuration of another embodiment, and the configuration of another embodiment can be added to the configuration of one embodiment. Further, with respect to a part of the configuration of each embodiment, other configurations can be added / deleted / replaced.

  Further, the above-described respective configurations, functions, processing units, processing means, etc. may be realized by hardware by designing a part or all of them, for example, with an integrated circuit. Further, the above-described respective configurations, functions and the like may be realized by software by the processor interpreting and executing a program for realizing the respective functions. Information such as a program, a table, and a file that realizes each function can be placed in a memory, a hard disk, a recording device such as an SSD (Solid State Drive), or a recording medium such as an IC card, an SD card, and a DVD.

  In addition, the control lines and information lines shown are those that are considered necessary for explanation, and not all the control lines and information lines on the product are necessarily shown. In practice, it may be considered that almost all configurations are connected to each other.

Claims (14)

A work management system,
Including a processor and memory,
The memory holds sensor information including a time series of worker positions,
The processor is
Get the period to be analyzed,
With reference to the sensor information, determine a stop-by period which is a period during which the worker has stopped in a stop-by area in the analysis target period,
For each of the stop-by periods, based on the time series, the region including the position of the worker in the stop-by period is determined as a stop-by region, and a stop-by history indicating a combination of the stop-by period and the stop-by region is generated,
Based on the distance on the time axis of the stop-by period, to generate a work unit group consisting of a plurality of stop-by history,
A work management system that outputs data for displaying information indicating a stop-by history belonging to the work unit group. The work management system according to claim 1, wherein
The memory further holds work record information indicating the work record of the worker,
The work management system, wherein the processor acquires, as the analysis target period, a period in which the work record of the worker is not recorded in the work record information. The work management system according to claim 1, wherein
The processor is
Based on the time series, calculating the moving speed of the worker in the analysis target period,
A work management system, wherein a period during which the calculated moving speed is equal to or less than a predetermined value is determined as the stop-by period. The work management system according to claim 1, wherein
The processor identifies a set consisting of a plurality of stop-by histories, in which the stop-by areas overlap and the evaluation value between the stop-by histories adjacent on the time axis is less than a predetermined value,
The evaluation value is larger as the distance on the time axis of the stop-by periods of adjacent stop-by histories on the time axis is larger, and the number of stop-by histories having a stop-by period between the stop-by periods of the adjacent stop-by histories is larger. big,
The processor is
A set group consisting of one or more sets that overlap on the time axis among the specified sets,
For each set belonging to the set group, the period from the earliest start time of the stop-by history belonging to the set to the latest end time of the stop-by history belonging to the set is calculated,
From the set group, the first set having the maximum time width of the calculated period is specified,
The visit history included in the first set is determined as a representative visit history,
Including the representative stop-by history, the stop-by period is included in the calculated period of the first set, and the related stop-by history that is a stop-by history that is not the representative stop-by history, in the work unit group,
A work management system that outputs data for distinguishably displaying the representative stop-by history and the related stop-by history. The work management system according to claim 4, wherein
The processor includes a second set which is included in the set group and has a reference time whose time width of the calculated period is not the maximum in the set group and whose difference from the reference time of the first set is a predetermined value or less. Is integrated into the first set. The work management system according to claim 1, wherein
The sensor information includes a time series of the weight of an object mounted on a transportation device that accompanies the worker,
The work management system, wherein the processor refers to the time series of the weight and determines a period of a predetermined width including a time when the change value of the weight is a predetermined value or more as the stop-by period. The work management system according to claim 6,
The processor is
For each of the weight-reduced stopover history, which is a stopover history in which the weight is reduced during the stopover period,
Specify a time range of a predetermined width with the start time of the stop period of the weight reduction stop history as the end time,
Specify the stopover history that includes the stoppage period in the specified time range,
When it is determined that the weight in the stop-by period of the specified stop-by history is in an increasing tendency as compared with a predetermined condition, the specified period is determined as a work unit candidate time zone,
For each of the weight-increasing stop-by records, which is the stop-by history in which the weight has increased during the stop-by period,
Specify a time range of a predetermined width with the end time of the stop-by period of the weight increase stop-by history as the start time,
Specify the stopover history that includes the stoppage period in the specified time range,
When it is determined that the weight in the stop-by period of the specified stop-by history is in a decreasing tendency as compared with a predetermined condition, the specified period is determined as a work unit candidate time zone,
Specifying a set of overlapping one or more work unit candidate time zones,
From the set, specify the maximum work unit candidate time zone in which the time width from the start time to the end time is the maximum,
The weight reduction target stop history or weight increase stop history corresponding to the maximum work unit candidate time zone is determined as a representative stop history,
Other work unit candidate time zone included in the maximum work unit candidate time zone, at least a portion of the stop-off period is included, and determine the stop-by history not the representative stop-by history to the related stop-by history,
Including the representative drop-in history and the related drop-in history in the work unit group,
A work management system that outputs data for distinguishably displaying the representative stop-by history and the related stop-by history. The work management system according to claim 1, wherein
The memory further holds master information indicating a capture range of a camera for photographing the site where the worker moves,
The processor is
Referring to the master information, calculate the time when there is no camera that captures the stop-by area during the stop-by period,
Based on the calculated time, in the case where a camera is attached to the worker, a transportation device that accompanies the worker, or a predetermined area within the site, the total stop-by period that can be newly captured by the camera is calculated. Generate the information shown,
A work management system that outputs data for displaying the generated information. The work management system according to claim 1, wherein
The processor is
Generate a first work unit group and a second work unit group,
Similarity between the first work unit group and the second work unit group based on the degree of overlap between the stop-by regions included in the first work unit group and the stop-by regions included in the second work unit group. Calculate the degree,
A work management system that outputs data for displaying information indicating the degree of similarity. The work management system according to claim 1, wherein
The memory further holds work definition information indicating a correspondence between conditions regarding regions and time zones and estimated work,
The processor is
When the stop-by period and the stop-by area included in the work unit group satisfy the condition included in the work definition information,
The estimated work corresponding to the condition is specified in the work definition information,
A work management system that outputs data for displaying information indicating the specified estimated work. The work management system according to claim 1, wherein
The processor is
A work management system that outputs data for displaying information indicating a work unit period from the earliest start time to the latest stop time of the stop-by history of the stop-by history belonging to the work-unit group. The work management system according to claim 11,
The processor is
Generating a plurality of said work unit groups,
A work management system, which outputs data for displaying work unit periods in each of the plurality of work unit groups in a distinguishable manner for each work unit group. The work management system according to claim 1, wherein
The memory further holds a camera image of the site where the worker moves,
The work management system, wherein the processor outputs data for displaying a camera image in a stop-by period of a stop-by area included in the work unit group. A work management system is a method of managing work,
The work management system holds sensor information including a time series of positions of workers,
The method is
The work management system is
Get the period to be analyzed,
With reference to the sensor information, determine a stop-by period which is a period during which the worker has stopped in a stop-by area in the analysis target period,
For each of the stop-by periods, based on the time series, the region including the position of the worker in the stop-by period is determined as a stop-by region, and a stop-by history indicating a combination of the stop-by period and the stop-by region is generated,
Based on the distance on the time axis of the stop-by period, to generate a work unit group consisting of a plurality of stop-by history,
A method of outputting data for displaying information indicating a stop-by history belonging to the work unit group.

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