JP2014115744A - Information processor, flow line analysis method and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To improve the accuracy of flow line analysis by calculating the position and flow line of a traveling object by a small device scale with high accuracy.SOLUTION: An information processor includes: position detection means and position correction means, and analyzes the flow line of a traveling object. The position detection means detects the position of the traveling object. The position correction means corrects a detection position detected by the position detection means to obtain a correction position. The position correction means obtains a point on a route on which the passage of the traveling object is estimated, and compares the position of the point with the detection position, and obtains points in a threshold range as neighboring points to generate a neighboring point group. Then, the position correction means obtains the correction position from the neighboring points included in the neighboring point group.

Description

  The present invention relates to an information processing apparatus that performs flow line analysis, a flow line analysis method, and a program.

  2. Description of the Related Art In recent years, a flow line analysis for analyzing a flow line that is a path / trajectory along which a person or an object moves and grasping a flow of a moving body has attracted attention. For example, by analyzing the human flow line in the distribution center, it is possible to grasp the behavior of the worker in the work site and contribute to the improvement of production and work efficiency.

  As a conventional technique of flow line analysis, for example, a technique has been proposed in which position information and time information are extracted from attached tags to create a flow line and support work standardization. Further, a technique has been proposed in which the closest point between the flow line of the non-contact information recording medium and the antenna is detected, and the presence / absence and direction of the non-contact information recording medium are determined from the relative speed and the closest point.

JP 2009-146166 A JP 2010-108148 A

  In the flow line analysis, the movement of a moving object such as a person or an object is grasped using ultrasonic waves, infrared rays, or the like. However, the accuracy of the flow line analysis is low when the flow line is created only from the position information of the person or the object.

  In one aspect, an object of the present invention is to provide an information processing apparatus, a flow line analysis method, and a program that improve the accuracy of flow line analysis by obtaining the position and flow line of a moving body with high accuracy. To do.

  In one proposal, in an information processing apparatus that analyzes a flow line, a position detection unit that detects a position of a moving body, and a position correction unit that corrects a detection position detected by the position detection unit and obtains a correction position. A position correction unit that acquires one or more points on a route on which a moving object is assumed to pass, compares the position of the one or more points with a detection position, and falls within a threshold range from the detection position; A neighborhood point set is generated with a certain point as a neighborhood point, and a correction position is obtained from the neighborhood points included in the neighborhood point set.

  According to the first aspect, it is possible to obtain the position and flow line of the moving body with high accuracy and improve the accuracy of the flow line analysis.

It is a figure which shows the structural example of information processing apparatus. It is a figure which shows the structural example of a flow line analysis system. It is a figure which shows the structural example of a flow line analysis system. It is a figure which shows the structural example of information processing apparatus. It is a flowchart which shows a flow line analysis process. It is a figure which shows an example of the layout of the work site where a flow line analysis is performed. It is a figure which shows the flow line in a work site. It is a figure which shows division into the section of a flow line. It is a figure which shows the structural example of worker information DB. It is a figure which shows the structural example of area definition information DB. It is a figure which shows the structural example of area definition information DB. It is a figure for demonstrating area definition information. It is a figure for demonstrating area definition information. It is a figure which shows the example of a route. It is a figure which shows the example of a route. It is a figure which shows the example of a route. It is a figure which shows the structural example of route definition information DB. It is a figure which shows the structural example of route set DB. It is a figure which shows the structural example of route work time definition information DB. It is a figure which shows the structural example of route work time definition information DB. It is a figure which shows the structural example of route work time definition information DB. It is a figure which shows the structural example of route work time definition information DB. It is a figure which shows the structural example of route detailed information DB. It is a figure which shows the structural example of position information DB. It is a figure which shows the detection position of the operator detected by the position detection means. It is a flowchart which shows operation | movement of a position correction means. It is a figure for demonstrating a neighborhood point. It is a figure for demonstrating a correction position specific process. It is a figure for demonstrating a correction position specific process. It is a flowchart which shows operation | movement of a correction position specific process. It is a figure which shows a rough position and a correction position. It is a flowchart which shows the update process of route set DB. It is a flowchart which shows operation | movement of a work condition determination means. It is a figure which shows the example of a display of an alarm. It is a figure which shows one structural example of the hardware of the computer used for this Embodiment.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings. FIG. 1 is a diagram illustrating a configuration example of an information processing apparatus. The information processing apparatus 1 includes a position detection unit 1a, a position correction unit 1b, and a movement status determination unit 1c, and is an apparatus that analyzes a flow line of a moving body.

The position detection means 1a detects the position of the moving body. The position correction unit 1b corrects the detection position detected by the position detection unit 1a to obtain a correction position.
The position correction unit 1b acquires one or more points on the route on which the moving body is assumed to pass, compares the position of the one or more points with the detection position, and is within the threshold range from the detection position. A neighborhood point set is generated using points as neighborhood points. Then, the position correction unit 1b obtains a correction position from among the neighboring points included in the neighboring point set.

  Moreover, the movement status determination means 1c acquires a predetermined set time required for movement of the moving object in a specific section, which is managed for each route of the moving object. Then, the movement status determination unit 1c compares the set movement time with the movement time when the moving object actually moves in the specific section, and outputs an alarm when the movement time exceeds the set time for all routes of the moving object. .

  As described above, the information processing apparatus 1 extracts a point on the route that is assumed to pass the moving body around the actually measured moving body position as a neighboring point, and obtains a correction position from the neighboring point. I do.

  Thereby, even with a simple position detection function (for example, even with a small number of position detection sensors), it is possible to obtain the position of the moving body and the flow line with high accuracy. Moreover, since it has the function to determine the movement state of a moving body in real time, it also becomes possible to give an appropriate instruction according to the movement state.

  Next, a flow line analysis system to which the information processing apparatus 1 is applied will be described. In the following description, a case where a human flow line is analyzed will be described as an example. FIG. 2 is a diagram illustrating a configuration example of a flow line analysis system. The flow line analysis system 1-1 includes a management server 10a, a management terminal 10b, a wireless terminal 2 (such as a mobile phone), and access points AP1 and AP2.

  In the flow line analysis system 1-1, a configuration example is shown in which wireless LAN (Local Area Network) communication performed between the access points AP <b> 1 and AP <b> 2 and the wireless terminal 2 is used for worker position detection.

  The access points AP1 and AP2 are provided at appropriate positions on the work site Sp, and the wireless terminal 2 is carried by the worker. In addition, the management server 10a, the management terminal 10b, and the access points AP1 and AP2 are connected by wire.

  The management server 10a includes the functions of the information processing apparatus 1 in FIG. 1, detects the position of the worker by the wireless terminal 2 and the access points AP1 and AP2, and analyzes the flow line of the worker in the work site Sp. . The management terminal 10b provides an administrator with a GUI (Graphical User Interface) related to flow line analysis performed by the management server 10a.

  In the flow line analysis system 1-1 to which the present technology is applied, an approximate measured position of the worker is acquired by wireless LAN communication, and an accurate correction position of the worker is obtained by subsequent correction processing. For this reason, it is possible to install fewer access points in the work site Sp than in the conventional system. And it is possible to obtain | require an operator's position with high precision with few access points.

  FIG. 3 is a diagram illustrating a configuration example of a flow line analysis system. The flow line analysis system 1-2 includes a management server 10a, a management terminal 10b, an RFID (Radio Frequency Identification) tag 2a, and RFID antennas At1 to At9.

  The flow line analysis system 1-2 shows a configuration example in the case where RFID communication performed between the RFID antennas At1 to At9 and the RFID tag 2a is used for detecting the position of the worker.

  The RFID antennas At1 to At9 are provided at appropriate positions on the work site Sp, and the RFID tag 2a is attached to the worker. The management server 10a, the management terminal 10b, and the RFID antennas At1 to At9 are connected by wire.

  The management server 10a includes the functions of the information processing apparatus 1 of FIG. 1, detects the position of the worker using the RFID tag 2a and the RFID antennas At1 to At9, and analyzes the flow line of the worker in the work site Sp. I do. The management terminal 10b provides the administrator with a GUI related to the flow line analysis performed by the management server 10a.

  In the flow line analysis system 1-2 to which the present technology is applied, an approximate measured position of the worker is acquired by RFID communication, and an accurate correction position of the worker is obtained by subsequent correction processing. For this reason, it is possible to install fewer RFID antennas in the work site Sp than in the conventional system. And it is possible to obtain | require an operator's position with high precision with few RFID antennas.

  2 and 3, the management server 10a and the management terminal 10b may be configured as a single management device. In the above description, an example in which the approximate position of the worker is actually measured by wireless LAN or RFID communication is shown as the position detection. However, the actually measured position may be detected by other methods.

  Next, the configuration of the information processing apparatus 1 will be described. FIG. 4 is a diagram illustrating a configuration example of the information processing apparatus. The information processing apparatus 1A includes a position detection unit 11, a position correction unit 12, a worker information acquisition unit 13, a route set generation unit 14, a work status determination unit 15, and a database management unit 16.

  The position detecting means 11 has the function of the position detecting means 1a in FIG. 1, and the position correcting means 12 has the function of the position correcting means 1b in FIG. Further, the work situation determination means 15 has the function of the movement situation judgment means 1c in FIG.

  The database management means 16 includes worker information DB (database) 16-1, section definition information DB 16-2, route definition information DB 16-3, route set DB 16-4, route work time definition information DB 16-5, route detailed information DB 16 -6 and position information DB 16-7, and controls registration management of each DB. The operation of each component and a configuration example of each database will be described later.

Next, the entire process of flow line analysis by the information processing apparatus 1A will be described. FIG. 5 is a flowchart showing the flow line analysis process.
[S1] The worker information acquisition unit 13 acquires the worker ID (identification) and the work ID of the worker who is the subject of the flow line analysis as the worker information from the worker information DB 16-1.

  [S2] The route set generation means 14 extracts all the routes having the same work start point from a plurality of work routes (route groups) currently listed as candidates according to the work ID of the worker, and sets the initial route set. Create Then, the route set generation unit 14 registers the initial route set in the route set DB 16-4.

[S3] The position detection unit 11 acquires approximate position information of the worker by a simple position detection function, and registers the acquired position information in the position information DB 16-7.
[S4] The position correction unit 12 corrects the detection position detected by the position detection unit 11 and specifies the correction position.

[S5] The route set generation means 14 recognizes the current route set based on the position correction result in step S4, and updates the registered contents of the route set DB 16-4.
[S6] The work status determination means 15 determines the work status based on the route work time definition information registered in the route work time definition information DB 16-5.

[S7] The work status determination means 15 ends the flow line analysis when determining that the work of the worker is completed, and returns to step S3 when determining that the work is continued.
Next, an example of a work site where the flow line analysis of the present technology is performed will be described. FIG. 6 is a diagram showing an example of the layout of the work site where the flow line analysis is performed. There are trays tr1 to tr8 in the work site Sp. It is assumed that the worker travels around the trays tr1 to tr8 and performs a predetermined operation such as product picking while moving along a passage (a space where the trays tr1 to tr8 do not exist).

FIG. 7 is a diagram showing a flow line in the work site. The thick solid line in the figure indicates the flow line L. The flow line L is a route through which the worker can move in the work site Sp.
FIG. 8 is a diagram showing segmentation of flow lines. The worker's flow line L is divided into appropriate sections and processed in sections. For this reason, in order to divide the flow line L of the worker into a plurality of sections, nodes serving as division points are mapped on the flow line L.

  In FIG. 8, the nodes N1 to N15 are set on the flow line L, and the flow line L in the work site Sp is divided into a plurality of sections. Hereinafter, a section in the direction from the node Na to the node Nb is referred to as a section Lab. For example, the section L12 indicates a section in the moving direction from the node N1 to the node N2, and the section L21 indicates a section in the moving direction from the node N2 to the node N1.

  Next, various databases and registration information managed by the database management means 16 will be described. FIG. 9 is a diagram illustrating a configuration example of the worker information DB. The worker information DB 16-1 has a worker ID, a start time, and a work ID as attribute items.

  The worker ID is an identifier for identifying the worker, and corresponds to, for example, an ID set in the wireless terminal 2 carried by the worker or an ID of the RFID tag 2a. The start time indicates the start time of the work, and the work ID is an identifier for identifying the work content.

  10 and 11 are diagrams showing a configuration example of the section definition information DB. The section definition information DB 16-2 registers the section definition information for each section as a table. The section definition information includes the position in the section, the moving direction on the section, and the start / end node attributes of the section. The moving direction is the traveling direction of the worker who passes the corresponding position along the route. The movement direction is represented by, for example, an angle formed by one coordinate axis of the two-dimensional coordinates of the work site Sp and a unit vector indicating the movement direction.

  For example, the section definition information of the section L12 includes the position L12 (xi, yi), the moving direction (θ12i), and the start / end node attributes, and the section definition information of the section L21 is the position L21 (xi, yi). , Moving direction (θ21i), and start / end node attributes.

  Further, for example, the section definition information of the section L34 includes the attributes of the position L34 (xi, yi), the moving direction (θ34i), and the start / end node. Further, the section definition information of the section L43 includes the position L43 (xi, yi), the moving direction (θ43i), and the start / end node attributes.

12 and 13 are diagrams for explaining the section definition information. FIG. 12 shows the section definition information of the section L12, and FIG. 13 shows the section definition information of the section L34.
In the section L12 in FIG. 12, the start node is the node N1, and the end node is the node N2. Then, positions of 6 points (L12x1, L12y1) to (L12x6, L12y6) are set on the section from the node N1 to the node N2. Furthermore, 6-point moving directions θ121 to θ126 are set on the section from the node N1 to the node N2.

  In the section L34 in FIG. 13, the start node is the node N3 and the end node is the node N4. Then, positions (L34x1, L34y1) to (L34x4, L34y4) of 4 points are set on the section from the node N3 to the node N4. Further, four-point moving directions θ341 to θ344 are set on the section from the node N3 to the node N4. Note that the number of position and direction set points is determined as appropriate according to the analysis accuracy.

  Next, route-related information and DB will be described. The route is a route on the flow line L that moves when the worker performs a predetermined work, and the route is predetermined for each work.

  14 to 16 are diagrams showing examples of routes. For example, a route R1 in FIG. 14 is a work route with work ID = # 1, and indicates the shortest route through which the worker passes when performing work with work ID = # 1.

  Further, a route R2 in FIG. 15 is a work route with work ID = # 3, and indicates the shortest route through which an operator passes when performing work with work ID = # 3. Further, a route R3 in FIG. 16 is a work route with work ID = # 4, and indicates the shortest route through which the worker passes when performing work with work ID = # 4. The same route may be assigned even with different work IDs (described later in FIGS. 19 and 20).

  FIG. 17 is a diagram illustrating a configuration example of the route definition information DB. The section identifier of the corresponding route becomes route definition information. In addition, the route definition information DB 16-3 registers, for each route, section identifiers serving as route definition information in order of node passage.

  For example, if the passing nodes of the route R1 in FIG. 14 are shown in order, N1 → N2 → N3 → N4 → N5 → N6 → N7 → N8 → N9 → N10 → N11 → N12 → N13 → N14 → N15 → N10 → N9 → N8 → N7 → N6 → N5 → N4 → N3 → N2 → N1.

  Therefore, the route definition information of the route R1 is, in order from the top, as shown in FIG. , L109, L94, L43, L32, and L21. The route definition information of routes R2 and R3 is registered in the same manner.

  FIG. 18 is a diagram illustrating a configuration example of the route set DB. The route set DB 16-4 is a DB that includes attribute items of a worker ID and a route ID, and registers a work route in charge of one worker (or a candidate for charge). For example, it is shown that a route set of routes R1, R2, R5,... Is assigned to the worker with worker ID = ID0001.

  19 to 22 are diagrams showing configuration examples of the route work time definition information DB. The route work time definition information DB 16-5 registers route work time definition information for each combination of work ID and route ID.

  The route work time definition information has attributes of section, required time, and accumulated time. The required time is the time required for the worker to work in the corresponding section (the time during which the worker stays). The accumulated time is a time obtained by accumulating the required time in the order of the movement direction.

  In addition, even if it is the same route, if work IDs differ, required time (work time) will differ. For example, comparing the table of FIG. 19 with the table of FIG. 20, both are the same route R1, and the table of FIG. 19 has work ID = # 1, and the table of FIG. 20 has work ID = # 2.

In this case, in the section L12 of the table of FIG. 19, the required time = T11 ₋₁ and in the section L12 of the table of FIG. 20, the required time = T11 ₋₂ , and the required times are different from each other.

  FIG. 23 is a diagram showing a configuration example of the route detailed information DB. The route detailed information DB 16-6 registers route detailed information for each route. The route detailed information has attributes of position Rn (xi, yi), moving direction (θ), and section. In the example of FIG. 23, detailed route information of the route R1 is shown.

  Next, position information and position information DB 16-7 will be described. FIG. 24 is a diagram illustrating a configuration example of the position information DB. The position information DB 16-7 registers the approximate position information of the worker detected by the position detecting means 11 and the corrected position information specified by correcting the position by the position correcting means 12.

  The position information DB 16-7 has attributes of position P (xi, yi) and relative time as position information, and has an attribute of correction position Q (xi, yi) as correction position information. The relative time is an elapsed time (actual relative time) from the time when the first position is detected to the detection time of each position. As the relative time, the time required to move from the previous position to the current position may be stored in the position information DB 16-7. In that case, the actual relative time from the initial position detection to the detection of each position can be obtained by calculating the total of the relative times detected previously.

  FIG. 25 is a diagram showing the detection position of the worker detected by the position detection means. The position detection means 11 performs position detection by a wireless LAN or RFID with a small number of measurement points. For this reason, the position of the worker who moves in the work site Sp is detected as a rough position. The detection result is registered in the position information DB 16-7 as position information.

  In FIG. 25, routes R1 and R2 are shown as work routes that can be assumed from the position information. Further, points a1 to anw in the figure are the approximate positions of the workers detected by the position detection means 11, and the arrows connecting the points indicate the movement directions of the workers.

  24, for example, the position of point a2 is P (x2, y2), and the relative time is PT2 (movement from point a1 to point a2). Relative time). Similarly, the position of the point anw is P (xnw, ynw), and the relative time is PTnw (movement relative time from the point a9 to the point anw).

  Here, when the worker is working in the work site Sp, the worker should be located on the passage and is not located on the trays tr1 to tr8. However, as can be seen from FIG. 25, for example, the point a2 is detected on the passage as the worker position detection point, but the point a1 is detected on the tray tr2. As described above, since the position detection means 11 roughly detects the position of the worker, there is a possibility that a position where the worker should not be originally positioned is detected as the position of the worker.

  In this case, if the number of measurement points arranged in the work site Sp is increased and the position detection accuracy is increased, the position of the worker can be accurately detected, but the apparatus scale and cost are increased. become.

  Therefore, according to the present technology, the position and flow line of the worker can be obtained with high accuracy by performing the subsequent position correction processing on the position of the worker roughly detected by the position detecting unit 11, and the scale of the apparatus and the cost can be reduced. It suppresses the increase and performs highly accurate flow line analysis.

Next, the position correction unit 12 will be described. FIG. 26 is a flowchart showing the operation of the position correction means.
[S11] The position correction means 12 recognizes the current route set corresponding to the worker ID subject to flow line analysis from the route set DB 16-4. Then, the position correction unit 12 selects one route from the route set and extracts points on the selected route.

[S12] The position correcting unit 12 compares the position of the extracted point (extracted point) with the current approximate position (current detected position) of the worker detected by the position detecting unit 11.
[S13] The position correction unit 12 determines whether or not the extraction point is included in the threshold range of the current detection position. If the extraction point is included in the threshold range, the process goes to step S14, and if not, the process goes to step S15. Note that the points included in the threshold range are called neighborhood points.

  FIG. 27 is a diagram for explaining neighboring points. The current detection position a0 is assumed to be located at the center of a circle cr1 having a radius r1, and the inside of the circle cr1 is set as a threshold range. For example, if the point on the route is in the circle cr1 or on the circumference of the circle cr1, the determination as to whether or not the point is a neighboring point is made a neighboring point.

  In the case shown in the figure, the points p1-1 and p1-2 are included in the circle cr1, and therefore the points p1-1 and p1-2 are neighboring points close to the current detection position a0. In addition, since the point p1-3 is not included in the circle cr1, the point p1-3 is not a neighboring point. Note that the above-described method for determining the neighboring points is an example, and other methods may be used.

[S14] The position correcting unit 12 sets a point included in the threshold range as a neighboring point, and puts the neighboring point in a set of neighboring points.
[S15] The position correction means 12 determines whether or not the neighborhood point search process in step S13 has been performed for all points in the current route set. If it has been done for all points, go to step S17, otherwise go to step S16.

[S16] The position correction means 12 acquires the next point on the selected route, and returns to step S12.
[S17] If there are a plurality of neighboring points in the same section of the neighboring point set, the position correcting unit 12 selects the neighboring point closest to the current detection position. That is, the position correction unit 12 narrows the number of neighboring points in one section to one.

  [S18] The position correcting unit 12 determines whether or not there are two or more neighboring points in the neighboring point set. If it has two or more neighboring points, go to step S20, otherwise go to step S19.

  [S19] The position correction unit 12 sets a point near one point extracted in the current cycle as a correction position. Alternatively, when there is no neighboring point in the neighboring point set, the position correcting unit 12 sets a point closest to the current detection position as a corrected position.

[S20] The position correction unit 12 calculates the distance between the correction position specified in the previous cycle (previous correction position) and the current detection position acquired in the current cycle.
[S21] The position correction means 12 determines whether or not the distance calculated in step S20 is within a certain value. Specifically, it is determined whether or not it is close to zero. For example, if the calculated distance is within a preset threshold value, it is regarded as almost 0, and if it exceeds the threshold value, it is regarded as not 0. When the calculated distance is close to 0, the process goes to step S22, and when it is not close to 0, the process goes to step S23.

[S22] The position correction means 12 sets the previous correction position as the correction position in the current cycle.
When the distance between the previous correction position extracted in the previous cycle and the current detection position extracted in the current cycle is close to 0, it is assumed that the worker has not moved and stayed. Therefore, in such a case, the position when the worker stays can be obtained by setting the previous correction position as the correction position in the current cycle.

[S23] The position correction means 12 performs a correction position specifying process described later.
Next, the correction position specifying process by the position correction unit 12 will be described. 28 and 29 are diagrams for explaining the correction position specifying process.

  In FIG. 28, a current approximate position obtained by position detection in the current cycle is set as a current detection position anw, and a correction position specified in the previous cycle is set as a previous correction position a9. Further, it is assumed that there are three neighboring points in the neighboring point set within the threshold range of the current detection position, and these are designated as neighboring points k1, k2, and k3.

  In FIG. 29, the position correction means 12 first obtains a movement vector Vr from the previous correction position a9 and the current detection position anw (the previous correction position a9 is the start point and the current detection position anw is the end point). Then, the position correction unit 12 obtains unit vectors vk1, vk2, and vk3 in the traveling direction of the worker at the neighboring points k1, k2, and k3 on the route extracted from the neighboring point set. For example, the position correction unit 12 refers to the section definition information DB 16-2 and acquires the movement directions of the neighboring points k1, k2, and k3. Next, the position correction unit 12 generates unit vectors vk1, vk2, and vk3 that face the moving direction for each of the neighboring points k1, k2, and k3 based on the acquired moving direction.

  Further, the position correction means 12 includes a component F (1) of the movement vector Vr in the unit vector vk1 direction, a component F (2) of the movement vector Vr in the unit vector vk2 direction, and a component F (2) of the movement vector Vr in the unit vector vk3 direction. 3) is determined.

  Here, the inner product of the vectors A and B is A · B = | A || B | cos θ (θ is an angle formed by the vectors A and B). If the unit vector of the vector B is e (| e | = 1), A · e = | A | cos θ, where A · e represents the component of the vector A in the e direction.

  Therefore, in this example, the component F (1) of the movement vector Vr in the direction of the unit vector vk1 is F (1) = Vr · vk1 = | Vr || vk1 | cos (θ−0 °) = r · cos θ (∵ | Vr | = r, | vk1 | = 1).

  Further, the component F (2) in the direction of the unit vector vk2 of the moving vector Vr is F (2) = Vr · vk2 = | Vr || vk2 | cos (θ−270 °) = r · cos (θ−270 °) = −r · sin θ (∵ | vk2 | = 1).

  Further, the component F (3) in the direction of the unit vector vk3 of the movement vector Vr is F (3) = Vr · vk3 = | Vr || vk3 | cos (θ−90 °) = r · cos (θ−90 °) = R · sin θ (∵ | vk3 | = 1).

  Then, the position correction unit 12 specifies a neighboring point having the maximum value among the components F (1), F (2), and F (3) as a correction position. In this example, since F (1) is the maximum, the neighboring point k1 is specified as the correction position.

FIG. 30 is a flowchart showing the operation of the correction position specifying process.
[S31] The position correction means 12 obtains the movement vector Vr from the previous correction position and the current detection position.

[S32] The position correction means 12 obtains a unit vector in the traveling direction of the worker at the neighboring points on the route extracted from the neighboring point set.
[S33] The position correction means 12 obtains a component in the direction of each unit vector of the movement vector Vr.

[S34] The position correction means 12 selects the maximum value from the components in the direction of each unit vector of the movement vector Vr, and specifies a neighboring point having the maximum value as the correction position.
[S35] The position correction unit 12 registers the determined correction position as correction information in the position information DB 16-7.

  FIG. 31 is a diagram showing the approximate position and the correction position. The schematic positions a <b> 1 to anw are corrected and the corrected positions c <b> 1 to cnw are obtained. Thus, by performing the correction position specifying process, the position and flow line of the operator can be obtained with high accuracy. That is, even if the position of the worker is detected on the tray by the position detection, the position of the worker is corrected on the passage by specifying the correction position thereafter.

Next, update processing of the route set DB 16-4 of the route set generation means 14 will be described. FIG. 32 is a flowchart showing the update processing of the route set DB.
[S41] The route set generation means 14 specifies a section including the point that is the correction position.

[S42] The route set generation means 14 extracts a route having the specified section from the current route set.
[S43] The route set generation means 14 sets the extracted route as a new current route set and registers it in the route set DB.

Next, the work situation determination means 15 will be described. FIG. 33 is a flowchart showing the operation of the work status determination means.
[S51] The work status determination unit 15 acquires a work ID corresponding to the worker ID from the worker information DB 16-1 (a plurality of work IDs may be acquired).

[S52] The work status determination means 15 reads the work time information corresponding to the acquired work ID from the route work time definition information DB 16-5.
[S53] The work status determination means 15 compares the relative time at the current position of the approximate position information with the accumulated time of the corresponding work information. For example, the work situation determination unit 15 obtains the difference between the relative time and the accumulated time.

[S54] The work status determination means 15 goes to step S55 if the comparison result exceeds the threshold value on all the corresponding work IDs, and ends if it does not exceed the threshold value.
[S55] The work status determination means 15 outputs an alarm.

  Here, by the route work time definition information DB 16-5, the set time required for the worker's work in a specific section on the route is managed in advance for each work ID. The work status determination means 15 compares the work time required for the actual work of the worker in the specific section with the set time, and sets the work time for all work IDs assigned to the worker. When exceeding, it judges that normal work is not performed and outputs an alarm. Thus, since the flow line analysis result can be used for worker guidance in real time, it becomes possible to improve work efficiency. Note that an alarm may be output when the work time exceeds the set time with at least one work ID assigned to the worker.

  In the example of FIG. 33, the relative time at the current position is compared with the accumulated time of the corresponding work information, but other times may be compared. For example, an alarm may be output when the time in the current section exceeds a prescribed required time. In that case, the work status determination means 15 obtains the elapsed time since the worker entered the current section based on the position information DB 16-7. Next, the work status determination means 15 obtains the required time of the section where the worker is currently present from the route work time definition information DB 16-5 of the work imposed on the worker. Then, the work status determination means 15 outputs an alarm when the elapsed time since the worker entered the current section and the time required for the section are larger.

  FIG. 34 shows an example of alarm display. For example, an example of the alarm display shown on the screen of the management terminal 10b shown in FIGS. 2 and 3 is shown. A work information display screen 3 is displayed on the management terminal 10b. The work information display screen 3 displays a worker ID, a work name, a status, and a detection time.

  For example, in work EFG performed by the worker with worker ID = 1002, it is displayed that there is an abnormality at time 15:32. As another example of the alarm output, an alarm of the wireless terminal 2 carried by the worker may be sounded or a warning mail may be transmitted to the wireless terminal 2.

  The processing functions shown above can be realized by a computer. FIG. 35 is a diagram illustrating a configuration example of hardware of a computer used in this embodiment. The computer 100 is entirely controlled by a CPU (Central Processing Unit) 101. A RAM (Random Access Memory) 102 and a plurality of peripheral devices are connected to the CPU 101 via a bus 108.

  The RAM 102 is used as a main storage device of the computer 100. The RAM 102 temporarily stores at least part of an OS (Operating System) program and application programs to be executed by the CPU 101. The RAM 102 stores various data necessary for processing by the CPU 101.

  Peripheral devices connected to the bus 108 include an HDD (Hard Disk Drive) 103, a graphic processing device 104, an input interface 105, an optical drive device 106, and a communication interface 107.

  The HDD 103 magnetically writes and reads data to and from the built-in disk. The HDD 103 is used as a secondary storage device of the computer 100. The HDD 103 stores an OS program, application programs, and various data. Note that a semiconductor storage device such as a flash memory can also be used as the secondary storage device.

  A monitor 104 a is connected to the graphic processing device 104. The graphic processing device 104 displays an image on the screen of the monitor 104a in accordance with a command from the CPU 101. Examples of the monitor 104a include a display device using a CRT (Cathode Ray Tube) and a liquid crystal display device.

  A keyboard 105 a and a mouse 105 b are connected to the input interface 105. The input interface 105 transmits signals sent from the keyboard 105a and the mouse 105b to the CPU 101. Note that the mouse 105b is an example of a pointing device, and other pointing devices can also be used. Examples of other pointing devices include a touch panel, a tablet, a touch pad, and a trackball.

  The optical drive device 106 reads data recorded on the optical disc 106a using laser light or the like. The optical disk 106a is a portable recording medium on which data is recorded so that it can be read by reflection of light. Examples of the optical disc 106a include a DVD (Digital Versatile Disc), a DVD-RAM, a CD-ROM (Compact Disc Read Only Memory), and a CD-R (Recordable) / RW (Rewritable).

  The communication interface 107 is connected to the network 110. The communication interface 107 transmits and receives data to and from other computers or communication devices via the network 110.

  With the hardware configuration as described above, the processing functions of the present embodiment can be realized. Further, when the processing functions of the present embodiment are realized by a computer, a program describing the processing contents of the functions of the information processing apparatus 1A is provided.

  By executing the program on a computer, the above processing functions are realized on the computer. The program describing the processing contents can be recorded on a computer-readable recording medium. Examples of the computer-readable recording medium include a magnetic storage device, an optical disk, a magneto-optical recording medium, and a semiconductor memory. Examples of the magnetic storage device include a hard disk device (HDD), a flexible disk (FD), and a magnetic tape. Optical discs include DVD, DVD-RAM, CD-ROM / RW, and the like. Magneto-optical recording media include MO (Magneto Optical disk). The recording medium for recording the program does not include a temporary propagation signal itself.

  When distributing the program, for example, a portable recording medium such as a DVD or a CD-ROM in which the program is recorded is sold. It is also possible to store the program in a storage device of a server computer and transfer the program from the server computer to another computer via a network.

  The computer that executes the program stores, for example, the program recorded on the portable recording medium or the program transferred from the server computer in its own storage device. Then, the computer reads the program from its own storage device and executes processing according to the program. The computer can also read the program directly from the portable recording medium and execute processing according to the program. Further, each time the program is transferred from the server computer, the computer can sequentially execute processing according to the received program.

  In addition, at least a part of the above processing functions can be realized by an electronic circuit such as a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), or a PLD (Programmable Logic Device).

  As described above, according to the present technology, even when a simple position detection technology is used, the position and the flow line of the moving body can be accurately obtained by the subsequent position correction processing. Thereby, it is possible to accurately recognize <where>, <what type of work>, and <how much time> the site worker has performed.

  In addition, the results of the flow line analysis can be used as work guidance and advice for improving work quality to the worker, and by accumulating these flow line analysis results, standard work definitions and on-site work improvements can be made. It is also possible to find a secondary effect.

  As mentioned above, although embodiment was illustrated, the structure of each part shown by embodiment can be substituted by the other thing which has the same function. Moreover, other arbitrary structures and processes may be added.

DESCRIPTION OF SYMBOLS 1 Information processing apparatus 1a Position detection means 1b Position correction means 1c Movement condition determination means

Claims (6)

In an information processing device that analyzes flow lines,
Position detecting means for detecting the position of the moving body;
Position correction means for correcting the detection position detected by the position detection means to obtain a correction position,
The position correction means includes
One or more points on the route that the moving body is supposed to pass through are obtained, the position of the one or more points is compared with the detection position, and a point within the threshold range from the detection position is a neighboring point Generate a set of neighbor points as
Obtaining the correction position from among neighboring points included in the neighboring point set;
An information processing apparatus characterized by that. The position correcting means includes
From the previous correction position, which is the correction position specified in the previous cycle, and the detection position, a movement vector is obtained,
Obtaining a unit vector indicating the traveling direction of the moving object when the moving object passes through each neighboring point in the set of neighboring points,
A component in the direction of the unit vector of the movement vector is obtained, and a neighboring point having the maximum component is set as a correction position in the current cycle.
The information processing apparatus according to claim 1. The position correcting means includes
Calculate the distance between the previous correction position, which is the correction position specified in the previous cycle, and the detection position, and if the distance does not exceed a certain value, the previous correction position is the correction position in the current cycle,
The information processing apparatus according to claim 1, wherein the information processing apparatus is an information processing apparatus. It further has a movement status determination means,
The movement status determination means includes
Managed for each route of the mobile body, obtain a set time required to move in a specific section of the mobile body,
When the moving time when the moving body actually moves in the specific section is compared with the set time, and when the moving time of the moving body exceeds the set time, an alarm is output.
The information processing apparatus according to claim 1. In the flow line analysis method for analyzing the flow line,
Computer
Detecting the position of the moving object to find the detection position,
Obtain one or more points on the route where the moving object is supposed to pass,
Comparing the position of the one or more points with the detection position, and generating a set of neighboring points with a point within the threshold range from the detection position as a neighboring point;
A correction position is obtained from among neighboring points included in the neighboring point set.
A flow line analysis method characterized by this. On the computer,
Detecting the position of the moving object to find the detection position,
Obtain one or more points on the route where the moving object is supposed to pass,
Comparing the position of the one or more points with the detection position, and generating a set of neighboring points with a point within the threshold range from the detection position as a neighboring point;
A correction position is obtained from among neighboring points included in the neighboring point set.
A program that executes processing.

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