JP7338964B2 - Monitoring system - Google Patents

Description

The present invention relates to a monitoring system for monitoring objects to be monitored within a floor.

Conventionally, there has been proposed a system for monitoring the status of products in each process of a production line (see, for example, Patent Literature 1). In the system described in Patent Literature 1, an ID plate is attached to a product or an automatic guided vehicle on which the product is placed, and the ID plate is used to appropriately process the product in each process. For example, the ID plate stores the processing details of each process, and each process recognizes the processing details of the product based on the processing details read from the ID plate. In addition, defects that occur in the line until the product is completed are written on an ID plate and used as analysis data.

JP-A-04-283058

However, in the system described in Patent Literature 1, although the status of the production line and products can be confirmed by the ID plate, it is not possible to grasp the work status of the worker. There was a problem that the production efficiency deteriorated due to the deterioration of the worker's performance.

SUMMARY OF THE INVENTION It is an object of the present invention to provide a monitoring system capable of suppressing deterioration in worker performance and improving production efficiency.

A monitoring system according to one aspect of the present invention targets mobile objects including workers moving around on a floor of a sewing factory and/or a sewing work place, targets fixed equipment installed on the floor, and and a monitoring system for monitoring a moving body including a sewn product transported on a sewing line built in the floor, wherein the monitoring target including the worker is recognized and recognition information is output. a physical condition sensor for measuring physical condition information of the worker; and a management device for managing the physical condition of the worker based on the physical condition information , wherein the management device includes the worker from the recognition information. A position information acquisition unit that acquires position information of the monitoring target, a type information acquisition unit that acquires type information of the monitoring target including the worker from the recognition information, and status information of the monitoring target including the worker. and a state information acquisition unit that acquires the physical condition information of the worker from the physical condition sensor, and manages the position information, the type information, and the physical condition information for each worker in association with each other, and the monitoring target An information management unit that manages the position information, the type information, and the state information in association with each other, and determines the degree of fatigue of the worker based on the physical condition information. and a fatigue degree discriminating unit that discriminates the degree of fatigue of the worker by a combination of the above, and the recognition device is a reader that reads a tag attached to the sewn product and outputs tag information as the recognition information. wherein the position information acquisition unit acquires the process of the sewing line where the sewing product exists as the position information from the tag information, and the information management unit acquires the sewing process for each process of the sewing line. It is characterized by managing the quantity of things .

According to this configuration, by managing the physical condition of the worker who moves around on the floor of the sewing factory and/or the sewing work place, it is possible to flexibly change the working time, work content, etc. of the worker according to the physical condition. . In the sewing factory and/or the sewing work area, by replacing the worker whose performance has deteriorated with another worker, it is possible to reorganize the shift into consideration of production efficiency. In addition, the work environment can be adjusted by analyzing the physical condition of workers moving around on the floor of the sewing factory and/or the sewing work place. In this way, the working situation can be grasped from the physical condition of the worker who moves around on the floor of the sewing factory and/or the sewing work place. In addition, it is possible to change the work time, work contents, etc. according to the worker's degree of fatigue. In addition, it is possible to appropriately determine the degree of fatigue of the worker from the vital signs. In addition, the physical condition of the worker is associated with the work place of the worker (for example, it is possible to grasp the work place of the worker who is in poor physical condition on the floor). In addition, the physical condition of the worker can be grasped for each type of work, and a substitute for the worker who is in poor physical condition can be found among the workers of the same work. In addition, the status of the entire floor can be grasped from the position, state, and type of monitored objects including fixed equipment and mobile objects. In addition, by managing the quantity of products in each process of the production line, it is possible to grasp the stagnation points of the products in the production line.

In the monitoring system according to one aspect of the present invention, the management device has a map creation unit that creates a floor map in which icons corresponding to the monitoring targets are arranged at positions indicated by position information. According to this configuration, a floor map on which icons of monitored objects are displayed is automatically created, so that the monitored objects on the floor can be intuitively grasped by visually recognizing the floor map.

In the monitoring system according to one aspect of the present invention, fixed equipment including sewing equipment installed on the floor of the sewing factory and/or the sewing work place , and a moving body including an operator working on the sewing equipment The management device includes a processing capacity acquisition unit that acquires the processing capacity of the operator using the sewing equipment, and a matching determination unit that determines matching between the processing capacity of the sewing equipment and the processing capacity of the operator. and According to this configuration, by allocating the sewing equipment with the performance that matches the skill of the operator, it is possible to bring out the processing capabilities of the sewing equipment and the operator.

ADVANTAGE OF THE INVENTION According to this invention, by managing a worker's physical condition, the decline of a worker's performance can be suppressed and production efficiency can be improved.

1 is an overall schematic diagram of a sewing factory according to an embodiment; FIG. 1 is a block diagram of a monitoring system according to this embodiment; FIG. It is an example of a management table according to the embodiment. It is an example of an icon table according to the embodiment. It is an example of a floor map of the present embodiment. 4 is a flow chart of a map creation method according to the present embodiment; 4 is a flow chart of a matching determination method according to the present embodiment;

A sewing factory employing the monitoring system of the present embodiment will be described below with reference to the accompanying drawings. FIG. 1 is an overall schematic diagram of a sewing factory according to the present embodiment. Note that the monitoring system of the present embodiment is not limited to sewing factories where clothes are manufactured, and may be applied to various facilities ranging from small-scale workshops to large-scale factories.

As shown in FIG. 1, on the floor of a sewing factory, a production line is constructed for a fabric inspection process, a spreading process, a cutting process, a sewing process, a finishing process, an inspection process, a packing process, and a shipping process. Materials are carried into a production line, and products such as clothing are manufactured by performing various treatments on the materials in each process. Various manufacturing facilities 10 are installed in each process, and workers 13 who work in each manufacturing facility 10 are assigned. An AGV (Automatic Guided Vehicle) 14 is moved between a plurality of processes, and materials and the like are unmannedly transported between processes by the AGV 14 .

In the production line, the cloth to be sewn is inspected for scratches and stains in the cloth inspection equipment 10A in the cloth inspection process, and the cloth is spread out in a state that facilitates patterning and pattern placement in the cloth spreading equipment 10B in the spreading process. The cloth is cut into various parts by the cutting equipment 10C in the cutting process, the various parts are sewn together by a plurality of sewing machines 11 in the sewing equipment 10D in the sewing process, and the finished sewn product is ironed by the finishing equipment 10E in the finishing process. be put on. Then, the sewing product is inspected for stitch skipping, button attachment, etc. in the inspection equipment 10F in the inspection process, and the sewn product is packed in the packing equipment 10G in the packing process and shipped as a product from the shipping equipment 10H.

A material storage area 15, a design room 16, a sample room 18, a workbench 21, and a shipping warehouse 22 are provided around the production line. Materials such as fabrics and sub-materials such as buttons are stored in the material storage area 15, and the quantities of the materials and buttons are managed. A CAD computer 17 is installed in the design room 16, and the computer 17 generates clothing design data. A sample sewing machine 19 is installed in the sample room 18 , and the thread tension, presser foot pressure, etc. adjusted in the sample room 18 are set in the production sewing machine 11 . Packed products are stored in the shipping warehouse 22, and the number of product shipments is managed.

A bulletin board 23 is installed on the floor, and the bulletin board 23 displays the production plan of the product, communication items, and the like. Further, an empty space in the floor is used as a sewing machine storage place for a spare sewing machine 24, and a broken sewing machine or an unused sewing machine is temporarily placed. By the way, various fixed facilities such as the manufacturing equipment 10 are installed on the floor, and various mobile objects such as workers and sewn products are moving on the floor. For this reason, it is difficult to grasp the status of the entire floor, such as the operation status of each manufacturing equipment 10, the progress status of the manufacturing line, the work status of workers, the number of sewing machines, and the like, even if one looks around the floor.

For example, when the production efficiency of a production line deteriorates, it is not always possible to find the cause even if you search around the floor. The cause of deterioration of the production efficiency of the manufacturing line is not only the failure of the manufacturing equipment 10, delay due to waiting for materials, etc., but also human factors such as deterioration of the performance of workers. Therefore, in the present embodiment, the work status is grasped from the physical condition of the worker on the floor. By managing the physical condition of workers, it is possible to improve the productivity of the production line by replacing workers whose performance has deteriorated and by improving the work environment.

The control configuration of the monitoring system will be described below with reference to FIGS. 2 to 5. FIG. FIG. 2 is a block diagram of the monitoring system of this embodiment. FIG. 3 is an example of a management table according to this embodiment. FIG. 4 is an example of an icon table according to this embodiment. FIG. 5 is an example of a floor map according to this embodiment.

As shown in FIG. 2, the monitoring system 30 monitors fixed installations 32 installed in the floor and moving bodies 33 moving in the floor as objects to be monitored 31. Various recognition devices 40 are monitored by a management device 50 configured by connecting to Here, as fixed equipment 32, in addition to manufacturing equipment 10 such as cloth inspection equipment, spreading equipment, cutting equipment, sewing equipment, finishing equipment, inspection equipment, packing equipment, shipping equipment, etc., sewing machine 11, computer 17, work table 21, A bulletin board 23 is designated as a monitoring target 31 . Also, the worker 13 , the AGV 14 , the tablet terminal 25 , and the product 26 are designated as the objects to be monitored 31 as the moving bodies 33 .

The recognition device 40 recognizes the monitored object 31 and outputs recognition information, and is composed of an installed camera 41, a drone 42, a reader 43, and the like. The installed camera 41 captures the monitoring target 31 in the imaging range and outputs the captured image to the management device 50 as recognition information. The drone 42 captures the monitoring target 31 in the imaging range while flying along the predetermined route, and outputs the captured image to the management device 50 as recognition information. The reader 43 is a so-called handy terminal, for example, reads a tag attached to the product 26 in each process and outputs tag information to the management device 50 as recognition information.

Also, the recognition device 40 may be configured by installing a camera in the AGV 14 . In this case, the AGV 14, which is the monitoring target, captures the other monitoring target 31 within the imaging range, and outputs the captured image to the management device 50 as recognition information. Since the AGV 14 recognizes its own movement position based on the station, the AGV 14 may output its own position information to the management device 50 as recognition information. The recognition device 40 may consist of a beacon (not shown) and a receiver (not shown). In this case, a beacon (not shown) is installed in each monitoring target 31, radio waves from the beacon are received by a receiver, and the radio waves from the beacon are output to the management device 50 as recognition information.

The management device 50 includes a position information acquisition unit 51, a type information acquisition unit 52, a state information acquisition unit 53, a fatigue level determination unit 54, an information management unit 55, a map creation unit 56, and a processing capacity acquisition unit. 57 and a matching determination unit 58 are provided. The position information acquisition unit 51 receives recognition information from the recognition device 40 and acquires position information of the monitored object 31 from the recognition information. For example, when the recognition information is a captured image, the position information of the recognition device 40 is estimated by matching a reference image captured in advance with the captured image of the monitoring target 31 . In this case, whether or not it is the monitored object 31 is determined according to whether or not the captured image includes a characteristic portion, a mark, or the like of the monitored object 31 .

When the recognition information is tag information, the progress of the manufacturing line is written in the tag of the product 26, which is the object of monitoring 31, and the process of the manufacturing line in which the product 26 exists is acquired as the position information. be done. When the recognition information is the radio wave from the beacon, the position where the radio wave intensity from the beacon is strong is detected as the position information.

The type information acquisition unit 52 receives the recognition information from the recognition device 40 and acquires the type information of the monitored object 31 from the recognition information. For example, when the recognition information is a captured image, the type of the monitored object 31 is determined based on the characteristic portion, mark, or the like of the monitored object 31 included in the captured image. Further, when the recognition information is a captured image, the type of the monitoring target 31 included in the captured image may be determined by learning the shape of the monitoring target 31 by deep learning. Further, when the recognition information is tag information or radio waves from a beacon, the type of the monitored object 31 is determined based on the type information included in the tag information or the radio wave signal.

Further, when the monitoring target 31 is the manufacturing equipment 10, the equipment type of the manufacturing equipment 10 is acquired as the type information. Equipment types include, for example, cloth inspection equipment, cloth spreading equipment, cutting equipment, sewing equipment, finishing equipment, inspection equipment, packing equipment, and shipping equipment. When the monitored object 31 is the worker 13, the work type of the worker 13 is acquired as the type information. The business types are, for example, operator, mechanic, and line length. When the monitored object 31 is the manufactured product 26, the product number of the manufactured product 26 is obtained as the type information. As a result, it is possible to grasp the equipment layout for each equipment type, the worker's work status for each work type, the product number of the manufacturing line, the number of sewing machines 11, and the like.

The status information acquisition unit 53 acquires operating information indicating the operating status from each manufacturing equipment 10 as status information. The operation information includes, for example, power ON, operating, stopped, power OFF, and abnormal state of the manufacturing equipment 10 . If the operating condition of each sewing machine 11 in the sewing equipment 10D is abnormal, it can be repaired by a mechanic, or it can be replaced with a spare sewing machine 24 placed in an empty space (see FIG. 1). Although the power of the spare sewing machine 24 is not turned on, the status information of the spare sewing machine 24 may be notified to the status information acquisition unit 53 by using energy harvesting technology (environmental power generation technology).

In addition, the state information acquisition unit 53 acquires physical condition information measured by the physical condition sensor 45 attached to the worker 13 as the condition information. The physical condition information includes, for example, the pulse, body temperature, or blood pressure of the worker 13 . When the fatigue is great, the pulse rate, body temperature, and blood pressure tend to be higher than the usual average. Normal, low fatigue, high fatigue, and abnormal. In this case, a plurality of thresholds are provided according to the degree of fatigue, and it is determined that the physical condition of the worker 13 is abnormal when the threshold for the extreme state is exceeded.

The physical condition information may include electroencephalograms, and it is also possible to grasp the worker's 13 stress and concentration level from the electroencephalograms. In addition to the physical condition information acquired from the physical condition sensor 45, the fatigue level determination unit 54 may determine the fatigue level in consideration of the overtime hours of the worker 13 and the working hours during which machines such as the sewing machine 11 are operated. The physical condition sensor 45 is not limited to a contact sensor attached to the worker 13, and may be a non-contact sensor such as a thermography. In this way, by managing the physical condition of the worker 13 with the management device 50, it is possible to flexibly change the working time, work content, etc. of the worker 13 according to the physical condition.

In addition, the state information acquisition part 53 is not limited to the structure which acquires the operation information of the manufacturing equipment 10, or the physical condition information of the worker 13 as state information. The state information acquisition unit 53 may be configured to acquire state information from the monitored object 31 . For example, the operation status of the computer 17, the AGV 14, the tablet terminal 25, and the bulletin board 23, which are the monitored objects 31 other than the manufacturing equipment 10 and the worker 13, may be acquired as status information, or the availability status of the workbench 21 on the floor. may be acquired as state information. As a result, it is possible to grasp the operation status of the monitored object 31 other than the manufacturing equipment 10 and the worker 13 and the availability status of the workbench 21 .

The information management unit 55 associates and manages position information and various types of information for each monitoring target 31 . When the monitored object 31 is the manufacturing equipment 10, the operation information is associated with the position information and the type information for each manufacturing equipment 10 and managed. By associating the operating state with the equipment layout of the manufacturing equipment 10, it is possible to grasp the installation location of the manufacturing equipment 10 with an abnormal operating condition on the floor. When the monitored object 31 is the worker 13, physical condition information is associated with position information and type information for each worker 13 and managed. By associating the physical condition of the worker 13 with the position and work, it is possible to grasp the working place of the worker 13 who is in poor physical condition on the floor and to find a substitute for the worker 13 who is in poor physical condition from the worker 13 of the same work. can.

When the object 31 to be monitored is a product 26 transported on a manufacturing line, the process of the manufacturing line is acquired as the position information of the product 26, and the quantity of the product 26 is managed for each process of the manufacturing line. . As a result, by confirming the quantity of the product 26 for each process of the production line, it is possible to grasp the stagnation points in the production line. Moreover, when the monitored object 31 is the computer 17, the AGV 14, the tablet terminal 25, the bulletin board 23, and the workbench 21, the position information may be managed in association with various state information. Furthermore, the information management unit 55 may manage the inventory of materials and sub-materials in the material storage area and the inventory of products in the shipping warehouse.

Specifically, as shown in FIG. 3, the information management unit 55 creates a management table. Serial numbers are registered in the management table as identification numbers of the manufacturing equipment 10, and position coordinates, equipment types, and operating states are managed for each serial number. For example, it is possible to ascertain an abnormality in the operating state of the sewing machine installed at the position coordinates (X ₃ , Y ₃ ) indicated by the serial number A0011. Employee numbers are registered in the management table as worker identification numbers, and position coordinates, job types, and physical conditions are managed for each employee number. For example, it is possible to grasp the poor physical condition of the operator at the position coordinates (X ₅ , Y ₅ ) indicated by the employee number B0002.

In addition, the management table registers the steps of the production line as position information, and manages the quantity of each part number of the product for each step of the production line. For example, in process C, the quantity of products with product number 1 is large, and it is possible to grasp that the production line in process C is stagnant. Serial numbers are registered in the management table as computer identification numbers, and position coordinates and operating states are managed for each serial number. For example, it can be ascertained that the computer at the position coordinates (X ₆ , Y ₆ ) indicated by the serial number C0001 is in operation.

Serial numbers are registered in the management table as AGV identification numbers, and position coordinates and operating states are managed for each serial number. For example, it can be understood that the AGV is on standby at the position coordinates (X ₈ , Y ₈ ) indicated by the serial number D0002. In addition, serial numbers are registered in the management table as identification numbers of tablet terminals, and position coordinates and usage conditions are managed for each serial number. For example, it is possible to ascertain that the worker is using the tablet at the position coordinates (X ₁₀ , Y ₁₀ ) indicated by the serial number E0002.

In the management table, serial numbers are registered as bulletin board identification numbers, and position coordinates and display states are managed for each serial number. For example, it can be understood that the bulletin board at the position coordinates (X ₁₁ , Y ₁₁ ) indicated by the serial number F0001 is being displayed. In the management table, machine numbers are registered as identification numbers of work machines, and position coordinates and availability are managed for each machine number. For example, it is determined that the workbench at position coordinates (X ₁₂ , Y ₁₂ ) indicated by machine number G0001 is in use and the workbench at position coordinates (X ₁₃ , Y ₁₃ ) indicated by machine number G0002 is free. be able to.

In addition, the management table manages the quantity of each material and secondary material placed in the stock place, and also manages the quantity of products placed in the shipping warehouse for each part number. For example, the number of cloth rolls as materials, the number of buttons and threads as sub-materials, and the number of clothes as products are managed. The procurement timing of materials and sub-materials is adjusted based on the remaining number of these materials and sub-materials, and the production volume is adjusted based on the remaining number of products. The quantity and product quantity for each material and sub-material may be manually input, or may be automatically obtained from a management device in the inventory or shipping warehouse.

Returning to FIG. 2, the map creation unit 56 of the management device 50 creates a floor map in which the icons of the monitoring targets 31 are arranged at the positions indicated by the position information. The map creating unit 56 selects an icon corresponding to the type information and status information of the monitoring target 31 by referring to the icon table. Then, the actual positional coordinates of the monitored object 31 are converted into the positional coordinates in the floor image prepared in advance, and the icon is displayed at the positional coordinates in the floor image, thereby automatically creating the floor map. . Since a floor map on which icons indicating the monitored objects 31 are displayed is automatically created, the positions and types of the monitored objects 31 on the floor can be intuitively grasped by visually recognizing the floor map.

Specifically, as shown in FIG. 4, an icon is prepared for each monitoring target in the icon table. For example, in the icon table, icons I1 to I8 of inspection equipment, spreading equipment, cutting equipment, sewing equipment, finishing equipment, inspection equipment, packing equipment, and shipping equipment are registered as manufacturing equipment. , the icon I9 of the sewing machine is registered. Icons I10 to I12 of operator, mechanic, and line length are registered as workers. Furthermore, the icons I21-I29 of products, computers, workbenches, bulletin boards, AGVs, tablet terminals, materials, subsidiary materials, and packed products are registered in the icon table.

Also, the display color of each icon is changed according to the state. For example, the sewing machine icon I9 changes its display color in five stages according to the power ON, operating, stopped, power OFF, and abnormal operating states. The worker's icons I10-I12 change their display colors in four levels according to their physical condition: normal, less fatigued, more fatigued, and abnormal. In addition, the number of displayed product icons I21 is changed according to the quantity of products for each process. A single product icon I21 is used when the product quantity is within the allowable quantity for each process, and multiple products are stacked when the product quantity exceeds the allowable quantity for each process. icon I30 is used.

Then, as shown in FIG. 5, various icons are selected from the icon table based on the type information and the state information, and various icons are arranged on the floor image according to the position information of the management table to create a floor map. . By viewing the floor map, it is possible to confirm the positions of manufacturing equipment, workers, products, computers, workbenches, bulletin boards, AGVs, tablet terminals, materials, secondary materials, and packed products on the floor. Therefore, it is possible to easily grasp the situation of the entire floor, such as the equipment layout in the floor, the working situation of the workers, the progress of the manufacturing line, and the like.

For example, in the sewing process, an icon I30 in which a plurality of manufactured products are superimposed is displayed, so that it is possible to grasp that the production line is stagnant in the sewing process. At this time, from the display color of the sewing machine icon I9, the sewing machine is operating normally, but from the display color of the operator icon I10, it can be understood that the processing speed of the operator has decreased due to fatigue. In this way, by visually checking the floor map, it is possible to identify the location of the stagnation in the production line, and further to identify that operator fatigue is the cause of the stagnation in the production line.

In addition, the management device continues to receive location information, type information, and status information, and the floor map is updated in real time. In this case, the icon update frequency may be changed between fixed equipment and mobile equipment. For example, since the fixed equipment does not move within the floor, the update frequency of the fixed equipment may be lower than the update frequency of the moving bodies that move within the floor. This makes it possible to sufficiently reduce the amount of communication between the recognition device and the fixed installation. In addition, since the floor map is updated in real time, it is possible to grasp the current situation of the entire floor from changes in the icons on the floor map and take appropriate measures.

Returning to FIG. 2 , the processing capacity acquisition unit 57 of the management device 50 acquires the operator's processing capacity from the detection device 46 . For example, the detection device 46 detects the sewing speed (motor rotation speed) when the operator uses the sewing machine 11 as the manufacturing facility 10 as the operator's throughput. The detection device 46 may also use electroencephalograms to detect the processing power of the operator. The stress and concentration of the operator are measured from the brain waves, and the sewing speed at which the operator is not burdened is detected as the operator's processing ability. Thereby, the most suitable processing speed for the operator in the manufacturing equipment 10 can be obtained. The detection device 46 may be a device built into the manufacturing facility 10 or a device externally attached to the manufacturing facility 10 .

The matching determination unit 58 determines matching between the processing capacity of the manufacturing equipment 10 and the processing capacity of the operator. In this case, the matching determination unit 58 determines matching based on whether the amount of deviation between the maximum processing capacity of each manufacturing facility 10 and the operator's processing capacity is within an allowable range. If the amount of deviation between the maximum processing capacity of the manufacturing equipment 10 and the processing capacity of the operator is within the allowable range, it is determined that the manufacturing equipment 10 and the operator are sufficiently drawing out each other's processing capacity. If the amount of deviation between the maximum throughput of the manufacturing equipment 10 and the operator's throughput is out of the allowable range, it is determined that the throughput of either the manufacturing equipment 10 or the operator is not fully utilized.

For example, if the maximum sewing speed of the sewing machine 11 is set to 8500 [sti/min] and the allowable range is set to ±1000 [sti/min], the sewing speed is 8000 [sti/min] for the operator. 11 is determined to match. On the other hand, it is determined that the sewing machine 11 is mismatched for the operator whose sewing speed is 6000 [sti/min]. For this reason, another sewing machine 11 with a reduced maximum sewing speed is assigned to an operator who is judged to be unable to utilize the processing capacity of the sewing machine 11 . By operating the sewing machine 11 at a sewing speed suitable for the operator's skill, the operator can work comfortably.

Note that the maximum processing capacity of the manufacturing equipment 10 and the processing capacity of the operator may be reflected in the icons of the floor map. For example, the display color of the icon may be changed according to the maximum sewing speed of the manufacturing equipment 10, or the display color of the icon may be changed according to the sewing speed of the operator. Accordingly, by visually checking the floor map, it is possible to grasp whether or not the processing capabilities of the manufacturing equipment 10 and the operator match. Further, when the processing capacity of the manufacturing equipment 10 and the operator are mismatched, the operator can be rearranged while visually checking the floor map.

In addition, position information acquisition unit 51, type information acquisition unit 52, state information acquisition unit 53, fatigue level determination unit 54, information management unit 55, map creation unit 56, processing capacity acquisition unit 57, matching determination unit 58 of management device 50 is composed of a processor, a memory, and the like that execute various processes. The memory consists of one or more storage media such as ROM (Read Only Memory) and RAM (Random Access Memory) depending on the application. Various programs such as methods are stored.

A flowchart of a map creation method and a flowchart of a matching determination method according to the present embodiment will be described below with reference to FIGS. 6 and 7. FIG. FIG. 6 is a flow chart of the map creation method of this embodiment. FIG. 7 is a flow chart of the matching determination method of this embodiment. For convenience of explanation, the reference numerals in FIG. 2 are used as appropriate. Also, in FIG. 7, a sewing machine is exemplified as the manufacturing equipment, but the manufacturing equipment is not limited to the sewing machine.

First, the map creation method will be described. As shown in FIG. 6, the recognition information of the monitored object 31 output from the recognition device 40 is acquired by the management device 50 (step S01). For example, the captured image of the monitoring target 31 output from the installed camera 41 or the drone 42 is acquired as recognition information, and the tag information of the product 26 output from the reader 43 is acquired as recognition information. Next, the position information of the monitoring target 31 is obtained from the recognition information by the position information obtaining unit 51 (step S02). For example, the position information of the monitoring target 31 is obtained from the captured image by the camera image positioning method, and the process in which the product 26 exists is obtained as the position information from the tag information.

Next, the type information of the monitored object 31 is obtained from the recognition information by the type information obtaining unit 52 (step S03). For example, the type of the monitored object 31 is determined from the characteristic portion or the like included in the captured image, and the type of the product 26 is determined from the product number included in the tag information. Next, state information is obtained from the monitored object 31 by the state information obtaining unit 53 (step S04). For example, the operating state is acquired from the manufacturing facility 10 as state information, and the physical condition of the worker 13 is acquired from the physical condition sensor 45 as state information. The processing order of steps S02-S04 can be changed, and the processing of steps S02-S04 may be performed simultaneously.

Next, various information is registered in the management table by the information management unit 55 for each monitored object 31 (step S05). For example, position information, type information, and operation information are associated and managed for each manufacturing facility 10, position information, type information, and physical condition information are associated and managed for each worker 13, and products 26 are managed for each process of the production line. Quantities are managed. Next, an icon is selected from the icon table by the map creation unit 56 based on the type information and operation information of the monitored object 31 (step S06). For example, the icon of the sewing machine 11 in operation is selected, and the icon of the worker 13 in normal operation is selected.

Then, the map creating unit 56 creates a floor map by arranging various icons on the floor image according to the position information of the monitored object 31 (step S07). As a result, the facility layout is displayed on the floor map, and the work status of the worker 13 and the progress status of the manufacturing line are also displayed. In this way, the entire floor can be monitored in real time from the icons displayed on the floor map. For example, from the floor map, it is possible to grasp the production facility 10 in an abnormal operating state, the worker 13 in poor physical condition, and the stagnation of the production line, and take appropriate measures according to the situation.

Next, a matching determination method will be described. As shown in FIG. 7, the processing ability of the operator is obtained by the processing ability obtaining unit 57 (step S11). In this case, the sewing speed when the operator uses the sewing machine 11 is obtained as the throughput. Alternatively, the operator's electroencephalogram may be measured, and the sewing speed at which the operator is not stressed may be used as the processing capacity. Next, the amount of deviation between the preset maximum sewing speed of the sewing machine 11 and the sewing speed of the operator is calculated (step S12). The maximum sewing speed of the sewing machine 11 may be set in the management device 50 in advance, or may be obtained from the sewing machine 11 by the processing capacity obtaining unit 57 .

Next, the matching determination unit 58 determines whether or not the amount of deviation between the maximum sewing speed of the sewing machine 11 and the sewing speed of the operator is within an allowable range (step S13). If the amount of deviation is within the allowable range (Yes in step S13), it is determined that the processing capabilities of the sewing machine 11 and the operator match (step S14). On the other hand, if the amount of deviation is outside the allowable range (No in step S13), it is determined that there is a mismatch between the processing capabilities of the sewing machine 11 and the operator (step S15). By assigning a highly skilled operator to a sewing machine with high performance based on this determination result, the productivity of the entire production line can be improved.

As described above, in the monitoring system 30 of the present embodiment, by managing the physical condition of the worker 13, it is possible to flexibly change the working time and work content of the worker 13 according to the physical condition. By replacing the worker 13 whose performance has deteriorated with another worker, the shift can be reorganized in consideration of production efficiency. Also, by analyzing the physical condition of the worker 13, the hygienic environment of the workplace can be arranged. In this way, the work situation can be grasped from the physical condition of the worker 13 .

In addition, although the configuration in which the monitoring system is applied to the sewing factory has been described in the present embodiment, the present invention is not limited to this configuration. The monitoring system is applicable to facilities where workers can be monitored as they move around the floor. For example, it can be applied to other manufacturing facilities, commercial facilities, public facilities, residential facilities, tourist facilities, power generation facilities, research facilities, medical facilities, parking facilities, and warehouse facilities.

Also, in the present embodiment, the monitoring system monitors both fixed installations and mobile objects, but the configuration is not limited to this. The monitoring system may be configured to monitor at least a worker moving around the floor as a mobile object.

In addition, in the present embodiment, various types of manufacturing equipment, computers, workbenches, and bulletin boards have been exemplified as fixed equipment, but the configuration is not limited to this. The fixed equipment is not particularly limited as long as it is a monitoring target installed within the floor.

In addition, in the present embodiment, a worker, an AGV, a tablet terminal, and a product are exemplified as mobile objects, but the configuration is not limited to this. The moving object is not particularly limited as long as it is a monitoring target that moves within the floor.

In addition, in this embodiment, as the recognition device, a device for monitoring using a camera such as an installed camera or a drone, or a device for monitoring by reading a tag of a product such as a reader is exemplified, but the configuration is limited to this configuration. not. The recognition device should be capable of recognizing a monitoring target and outputting recognition information. For example, the recognition device may be a thermography device that recognizes a monitoring target based on heat distribution, or a radar device that recognizes a monitoring target based on a millimeter wave radar. In addition, the positioning results of the sonic positioning method using highly directional ultrasonic waves, the visible light positioning method using visible light from an LED light source, and the pedestrian autonomous positioning method using acceleration sensors, gyro sensors, geomagnetic sensors, etc. It may be a positioning device that recognizes a monitoring target from

Further, in the present embodiment, the configuration is such that the management apparatus acquires the position information of the monitoring target, but the configuration is not limited to this. Position information may be obtained from the recognition information of the monitoring target and output to the management device.

Further, in the present embodiment, the configuration is such that the management device acquires the type information of the monitoring target, but the configuration is not limited to this. The type information may be acquired from the recognition information in the monitoring target and output to the management device.

Further, in the present embodiment, the configuration is such that the management device acquires the status information of the monitoring target, but the configuration is not limited to this. The status information may be acquired by the monitoring target and output to the management device.

Further, in the present embodiment, operator, mechanic, and line length have been exemplified as work types of workers, but the configuration is not limited to this. The worker's work type may be any work related to some kind of work on the floor, and may include, for example, CAD programmers, system engineers, and management staff.

In addition, in the present embodiment, pulse, body temperature, blood pressure, electroencephalograms, etc. are exemplified as physical condition information, but the configuration is not limited to this. The physical condition information may be information that enables the physical condition of the worker to be grasped, and may include, for example, the respiratory rate. Also, the physical condition of the worker may be determined by appropriately combining the above parameters.

In addition, in the present embodiment, the fatigue level determination unit discriminates the fatigue level of the worker into four stages of normal, low fatigue, high fatigue, and abnormal by any one of pulse, body temperature, and blood pressure, or any combination thereof. , but not limited to this configuration. The fatigue degree determination unit may be configured to determine the fatigue degree of the worker based on the physical condition information, and may be determined by any method.

Also, in the present embodiment, the production line is not limited to one that produces clothes. The manufacturing line may be any line that manufactures products, such as electronic devices, foods, and daily necessities.

Moreover, in the present embodiment, the management device may be configured to manage at least the physical condition of the worker. Therefore, it is not necessary for the management device to collect the position information of the monitored object, manage the quantity of products, create a floor map, and determine the matching between the manufacturing equipment and the processing capacity of the operator.

Also, the program of the present embodiment may be stored in a storage medium. The recording medium is not particularly limited, but may be a non-transitory recording medium such as an optical disk, a magneto-optical disk, or a flash memory.

Moreover, although the embodiments and modifications of the present invention have been described, as other embodiments of the present invention, the above-described embodiments and modifications may be wholly or partially combined.

Moreover, the embodiments of the present invention are not limited to the above-described embodiments and modifications, and may be changed, replaced, and modified in various ways without departing from the spirit of the technical idea of the present invention. Furthermore, if the technical idea of the present invention can be realized in another way by advances in technology or another derived technology, the method may be used for implementation. Therefore, the claims cover all embodiments that can be included within the scope of the technical concept of the present invention.

Furthermore, in the above-described embodiment, the monitoring system monitors at least the workers moving around on the floor, and includes a physical condition sensor for measuring the physical condition information of the worker and a management device for managing the physical condition of the worker based on the physical condition information. and As a result, by managing the physical condition of the worker, it is possible to flexibly change the working time, work content, etc. of the worker according to the physical condition. By replacing a worker whose performance has deteriorated with another worker, it is possible to rearrange the shift into one that takes production efficiency into consideration. In addition, the work environment can be adjusted by analyzing the physical condition of the worker. In this way, the work status can be grasped from the physical condition of the worker.

INDUSTRIAL APPLICABILITY As described above, the present invention has the effect of suppressing deterioration in worker performance and improving production efficiency, and is particularly useful for a monitoring system for a clothing sewing factory.

10: Manufacturing facility 13: Worker 26: Product 30: Monitoring system 31: Monitoring target 32: Fixed facility 33: Mobile object 40: Recognition device 43: Reader 45: Physical condition sensor 50: Management device 51: Location information acquisition unit 52: Type information acquisition unit 53: State information acquisition unit 54: Fatigue determination unit 55: Information management unit 56: Map creation unit 57: Processing capacity acquisition unit 58: Matching determination unit

Claims (3)

A sewing line built in the floor, wherein mobile objects including workers moving around on the floor of a sewing factory and/or sewing work place are monitored, fixed equipment installed in the floor is the monitoring target, and the sewing line is built in the floor. A monitoring system for monitoring a moving object including a sewn product transported by
a recognition device that recognizes the monitoring target including the worker and outputs recognition information;
a physical condition sensor for measuring physical condition information of the worker;
a management device for managing the physical condition of the worker based on the physical condition information ;
The management device
a position information acquisition unit that acquires position information of the monitored object including the worker from the recognition information;
a type information acquisition unit that acquires type information of the monitoring target including the worker from the recognition information;
a state information acquisition unit that acquires state information of the monitored object including the worker and acquires physical condition information of the worker from the physical condition sensor;
an information management unit that associates and manages the position information, the type information, and the physical condition information for each worker, and manages the position information, the type information, and the state information in association with each monitoring target;
A fatigue degree determination unit that determines the fatigue level of the worker based on the physical condition information and determines the fatigue level of the worker by any one or any combination of pulse, body temperature, blood pressure,
has
The recognition device is a reader that reads a tag attached to the sewn product and outputs tag information as the recognition information,
The management device acquires, as the position information, the process of the sewing line where the sewing product exists from the tag information by the position information acquisition unit, and the information management unit acquires the sewing product for each process of the sewing line by the information management unit. manage quantity,
A surveillance system characterized by: 2. The monitoring system according to claim 1 , wherein said management device has a map creation unit for creating a floor map in which icons corresponding to said monitoring targets are arranged at positions indicated by said position information. fixed equipment including sewing equipment installed on the floor of the sewing factory and/or the sewing work place, and moving objects including operators working on the sewing equipment, are the objects to be monitored;
The management device has a processing capacity acquisition unit that acquires the processing capacity of the operator using the sewing equipment, and a matching determination unit that determines matching between the processing capacity of the sewing equipment and the processing capacity of the operator. 3. A surveillance system according to claim 1 or claim 2 .

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