JP7140414B2 - PRODUCTION CONTROL METHOD USING SEWING MACHINE WORK INFORMATION AND PRODUCTION CONTROL ELECTRONIC DEVICE - Google Patents

Description

The present invention relates to a production control method and an electronic device for production control using sewing machine work information.

Generally, in the case of a clothing manufacturing factory, a large number of sewing machines are arranged along the process, and each sewing machine is assigned to a worker, who performs the clothing manufacturing work. In such a clothing manufacturing factory, it is necessary to manage the work performed by each sewing machine and perform production control related to production volume, work volume, defect rate, and the like.

In order to efficiently carry out such production management, we have introduced a smart process that automatically collects and analyzes production information in the factory to automate production management. However, in manufacturing factories that mainly use sewing machines such as sewing machines, due to the complex and difficult work characteristics of sewing work and the characteristics of large-scale, human-centered manufacturing sites, even if smart processes are actually introduced to the site, production will be difficult. Problems with unsatisfactory results of management automation continue to occur.

In order to solve such conventional problems, an embodiment of the present invention attaches a sensor to the components of the sewing machine, such as the needle bar, the thread take-up, the transfer section, and the pulley, which perform repetitive movements during the sewing operation. The present invention provides a production control method and an electronic device using sewing machine work information that can perform production control through analysis of sensing data acquired by a sensor.

A production control method according to an embodiment of the present invention comprises the steps of obtaining sensing data for the repetitive motion sensed by one sensor unit attached to at least a portion of a sewing machine in which the repetitive motion occurs during a sewing operation; generating work information based on the above; displaying confirmed production information based on the work information when a production information request signal related to the sewing work is received; and displaying a quality information request signal for the sewing work. and displaying quality information ascertained based on said work information when received.

The obtaining of the sensing data may include receiving the sensing data of the repetitive motion obtained by the sensor unit attached to one of the needle bar, the thread take-up, the transfer unit and the pulley of the sewing machine. characterized by being

Further, generating work information includes: generating needle up stop total data indicating that the needle of the sewing machine has stopped at an up position based on the sensing data; The method includes generating sum data and generating order data based on the sensing data.

Displaying the production information includes: deriving a repetition pattern through analysis of the order data; and displaying the repetition pattern, the arrangement information of the sewing machine, process information for a plurality of processes included in the sewing work, and the repetition pattern. A step of confirming the work process in which the sewing machine is working is included using the comparison result.

The displaying of the production information may include confirming the work volume of the sewing machine using the repetition pattern.

The displaying of the production information may include confirming the production information of the work process in which the sewing machine is arranged using the work quantity, the operating time of the sewing machine, and the average sewing time. .

The displaying of the production information may include collecting the production information of the work process by process, calculating an average value, and confirming the production information of the entire sewing work.

In addition, the step of displaying the quality information includes comparing the number of sewing stitches in the sewing machine and the stored target number of stitches to confirm the uniformity of the number of sewing stitches, and determining the defect rate based on the uniformity. It is characterized by including a step of confirming.

In the step of displaying the quality information, data for comparison including the sewing machine preparation time, the sewing machine stop time and number of times, the uniformity of the number of sewing stitches, the sewing stitch width and the sewing quality are displayed based on the work information. The method includes the steps of generating, retrieving previously saved reference data, and comparing the comparison target data with the reference data to confirm the worker ability value based on the matching rate.

In addition, the production control electronic device according to the embodiment of the present invention acquires sensing data on the repetitive motion sensed by one sensor unit attached to at least a part of the sewing machine in which the repetitive motion occurs during the sewing work. A communication unit, a control unit that generates work information based on the sensing data, confirms production information and quality information based on the work information, and a display unit that displays the production information and quality information. .

Further, the communication unit receives sensing data regarding the repeated motion obtained by the sensor unit attached to one of the needle bar, the thread take-up, the transfer unit and the pulley of the sewing machine.

Further, the control unit generates work information based on the sensing data, including needle up stop total data indicating that the needle of the sewing machine stopped at the up position, total stop data indicating all the needle stops, and order data. Characterized by

Further, the control unit derives a repetition pattern through analysis of the order data, and uses the repetition pattern, the arrangement information of the sewing machine, and the comparison result of the repetition pattern with process information for a plurality of processes included in the sewing work. and confirms the work process in which the sewing machine is working.

The control unit may check the number of operations performed by the sewing machine using the repetition pattern.

The control unit may check the production information of the work process in which the sewing machine is arranged using the work quantity, the operating time of the sewing machine, and the average sewing time.

Further, the control unit collects the production information of the work processes for each process, calculates an average value, and confirms the production information for the entire sewing work.

In addition, the control unit checks the number of sewing stitches in the sewing machine, checks the stored target number of stitches, and compares the number of sewing stitches with the target number of stitches to confirm the number of sewing stitches. characterized by confirming the defect rate based on the uniformity of

Further, the control unit generates comparison target data including the sewing machine preparation time, the sewing machine stop time and number of times, the uniformity of the number of sewing stitches, the sewing stitch width, and the sewing quality based on the work information. It is characterized in that the stored reference data and the data to be compared are compared to confirm the worker ability value based on the matching rate.

As described above, the production control method and the electronic device using the sewing machine work information according to the present invention include one sensor for each component of the sewing machine, such as the needle bar, the thread take-up lever, the transfer section, and the pulley, which perform repetitive operations during the sewing work. , and the analysis of sensing data acquired by the sensor has the effect of performing more accurate production control.

1 is a diagram illustrating a production management system for production management according to an embodiment of the present invention; 1 is a drawing showing a sewing machine according to an embodiment of the present invention; 3 is a view showing a sensor attached to a needle bar of the sewing machine shown in FIG. 2; FIG. 3 is a view showing a sensor attached to a pulley of the sewing machine shown in FIG. 2; FIG. 1 is a diagram illustrating an electronic device for production management according to an embodiment of the present invention; FIG. 5 is a diagram for explaining a change in position information of a needle bar over time and a method of interpreting the change according to an embodiment of the present invention; FIG. 4 is a flow chart for explaining a production control method according to an embodiment of the present invention; It is a drawing for explaining the needle up stop total data according to the embodiment of the present invention. FIG. 5 is a diagram for explaining all stop sum data according to an embodiment of the present invention; FIG. FIG. 4 is a diagram for explaining order data according to an embodiment of the present invention; FIG. FIG. 5 is a diagram for explaining work information of the sewing machine according to the embodiment of the present invention; FIG. FIG. 5 is a drawing (part 1) for explaining combined data by sewing machine operations according to the embodiment of the present invention; FIG. FIG. 10 is a drawing (part 2) for explaining combined data by sewing machine operations according to the embodiment of the present invention; FIG. FIG. 5 is a diagram for explaining sequence data according to sewing machine operations according to an embodiment of the present invention; FIG. FIG. 4 is a diagram showing production information according to processes according to an embodiment of the present invention; FIG. FIG. 4 is a diagram showing factory production information according to an embodiment of the present invention; FIG.

Preferred embodiments of the present invention will now be described in detail with reference to the accompanying drawings. The detailed descriptions disclosed below in conjunction with the accompanying drawings are intended to describe exemplary embodiments of the invention, and are not intended to represent the only embodiments in which the invention may be practiced. . In order to clearly explain the present invention in the drawings, parts not related to the description may be omitted and the same reference numerals may be used for the same or similar components throughout the specification.

In one embodiment of the present invention, expressions such as "or," "at least one," etc. may both refer to one of the listed words, or a combination of two or more. For example, "A or B" and "at least one of A and B" may include only one of A or B, or both A and B.

FIG. 1 is a drawing showing a production management system for production management according to an embodiment of the present invention. FIG. 2 is a drawing showing a sewing machine according to an embodiment of the present invention. FIG. 3 is a view showing a sensor attached to a needle bar of the sewing machine shown in FIG. FIG. 4 is a view showing a sensor attached to the pulley of the sewing machine shown in FIG.

1-4, a production control system 100 according to the present invention includes a plurality of sewing machines 200 and electronic devices 500 located in a sewing factory, such as a clothing manufacturing factory. In addition, a plurality of sewing machines 200 may be installed for each of a plurality of processes to produce one product in a garment factory.

A plurality of sewing machines 200a, 200b, 200c may include sensor units 210a, 210b, 210c, respectively. The plurality of sewing machines 200a, 200b, 200c are described as sewing machine 200 and the plurality of sensor units 210a, 210b, 210c are described as sensor unit 210 in the embodiment of the present invention. The sensor unit 210 may include sensors such as an acceleration sensor, a magnet sensor, an optical sensor, a vibration sensor, an infrared sensor, and the like, which can sense repetitive movements occurring in the sewing machine 200 . In addition, the sensor unit 210 may be attached to a portion of the sewing machine 200 where repetitive motion occurs during sewing, and the portion where the repetitive motion occurs may be the needle bar 220 , the pulley 230 , the thread take-up lever 240 and the transfer portion 250 of the sewing machine 200 . .

Referring to FIG. 3 as an example, the sensor unit 210 may be implemented by attaching a magnet 310a and a magnet sensor 310b to the needle bar 220 of the sewing machine 200. FIG. More specifically, the needle bar 220 has a structure to which a needle is attached, and the magnet 310a is fixedly attached to the end of the needle bar 220. FIG. The needle bar 220 moves up and down by the sewing machine 200, and the needles attached to the needle bar 220 move up and down according to the up and down motion of the needle bar 220 to perform sewing. The needle bar 220 has a hollow shape at the other end, into which the magnet 310a is inserted and fixedly attached. The magnet sensor 310b paired with the magnet 310a is attached to the body of the sewing machine 200, and may be attached to the upper part of the space where the needle bar 220 is installed. The magnet sensor 310b can sense the magnet 310a fixedly attached to the other end of the needle bar 220 whenever the needle bar 220 moves up and down. The vertical movement of the needle bar 220 to which the magnet 310a is attached can be sensed using the change in the intensity of the magnetic force of the magnet 310a. The magnet sensor 310b transmits sensing data of the sensed vertical movement to the electronic device 500. FIG.

Referring to FIG. 4 as an example, the sensor unit 210 may be implemented by attaching an infrared sensor to a pulley 230 installed on the side of the sewing machine 200 . The pulley 230 is configured to move the needle bar 220 by transmitting the rotational force of a motor (not shown) provided in the sewing machine 200 . More specifically, when the sensor unit 210 is implemented as an infrared sensor, it may include a light emitting unit and a light receiving unit capable of emitting light and receiving light when the needle is in a needle up state and in a stopped state. can be provided with a reflector so that the Through this, the stop position of the needle can be confirmed. The sensor unit 210 is arranged above the sewing machine 200 so as to detect the rotational motion of the pulley 230 that rotates repeatedly, but may be arranged at a position that does not interfere with the operation of the pulley 230 . As such, the sensor unit 210 may be further provided with a magnet to be disposed and fixed on the upper part of the sewing machine 200 . The sensor unit 210 senses the rotation of the pulley 230 and transmits sensing data to the electronic device 500 . In addition, in FIG. 4, the sensor unit 210 is arranged on the upper part of the sewing machine 200. However, the sensor unit 210 is not necessarily limited to this. For example, the sensor unit 210 can be placed on the top surface of the table on which the sewing machine 200 is placed, provided that it does not interfere with the operation of the pulley 230. In this case, the sensor unit 210 can be placed at a position where it can detect the rotation of the pulley 230. is preferred.

Electronic device 500 is a device that checks work information, production information, and quality information of sewing machine 200 using sensing data received from sensor unit 210 provided in sewing machine 200, and is an electronic device such as a computer, tablet PC, or smartphone. can be a device. The operation of electronic device 500 will be described in more detail with reference to FIGS. 5 and 6 below.

FIG. 5 is a diagram showing an electronic device for production management according to an embodiment of the present invention. FIG. 6 is a diagram for explaining a change in needle bar position information with time and a method for interpreting the same according to an embodiment of the present invention.

5 and 6, the electronic device 500 according to the present invention includes a communication section 510, an input section 520, a display section 530, a memory 540 and a control section 550. FIG.

Communication unit 510 communicates with sensor unit 210 attached to sewing machine 200 . To this end, the communication unit 510 can perform short-range wireless communication such as Wi-Fi (wireless fidelity), Bluetooth (registered trademark), BLE (bluetooth low energy), and NFC (near field communication). , sensor unit 210 and wired communication such as RS-232. Also, the communication unit 510 may be directly connected to the sensor unit 210 to receive a signal directly from the sensor unit 210 .

The input unit 520 generates input data corresponding to the input of the administrator of the electronic device 500 . The input unit 520 includes at least one input means. To this end, the input unit 520 may include a keyboard, mouse, keypad, dome switch, touch panel, touch keys and buttons.

The display unit 530 outputs output data according to the operation of the electronic device 500 . For this purpose, the display unit 530 may be a liquid crystal display (LCD), a light emitting diode (LED) display, an organic light emitting diode (OLED) display, a micro electro mechanical system (MEMS). system displays and electronic paper displays. The display unit 530 may be combined with the input unit 520 and implemented as a touch screen.

The memory 540 stores operating programs for the electronic device 500 . The memory 540 stores the positions of the sewing machines 200 arranged in the sewing factory, and stores the overall process information for the products produced in the sewing factory. The memory 540 stores suitable stitches per inch (SPI) for each process. At this time, the SPI is a numerical value representing the number of stitches per inch, and the memory 540 can store the sewing length for the product in the process and the target number of stitches suitable for each process calculated using the SPI. . The memory 540 can also store reference data for work preparation time, stop time and times, sewing stitch count uniformity, sewing stitch width and sewing quality, and the like.

The memory 540 analyzes the sensing data received by the sensor unit 210 to check the operating state of the sewing machine, including preparation time, sewing time, number of sewing stitches, stop time, standby time, number of stops, and stop position information generated in the sewing machine 200 . You can store algorithms for Memory 540 can store algorithms for ascertaining work information, including needle up stop total data, all stop total data and sequence data, based on the operational state of the sewing machine ascertained. Also, the memory 540 can store an algorithm for confirming production information and quality information of the sewing machine 200 based on the work information.

The control unit 550 receives sensing data sensed by the sensor unit 210 attached to at least a portion of the sewing machine 200 installed in the sewing factory where the sewing work is performed. The control unit 550 checks the operating state of the sewing machine based on the repetitive motions occurring in the sewing machine 200 based on the received sensing data. More specifically, the control unit 550 receives sensing data from the sensor unit 210 as shown in FIG. 6(a). At this time, the sensing data as shown in FIG. 6(a) may be sensing data of the movement of the needle acquired by the sensor unit 210 when the sensor unit 210 is attached to the needle bar 220. FIG. In FIG. 6(a), the x-axis is set as time and the y-axis is set as the needle position. The controller 550 determines the needle position, for example, the preparation time, the sewing time, and the sewing time according to the needle position signal 601 and the needle down position signal 602, respectively. The number of sewing stitches, stop time, waiting time, stop count and stop position information can be checked.

The controller 550 can confirm work information as shown in FIG. 6B based on the confirmed up position signal 601 and down position signal 602 . At this time, the work information can include needle up stop total data (UP STOP), needle down stop total data (DN STOP), sewing stitch number (sewing stitches), and needle up stop total data (UP STOP) and needle It can contain all stop sum data and order data combined with bottom stop sum data (DN STOP). At this time, the control unit 550 checks the position of the needle when the movement of the needle does not exist for more than a critical value, e.g., 2 seconds, and confirms the needle up stop total data (UP STOP) and the needle down stop total data (DN STOP). . In addition, in the embodiment of the present invention, it is described that the two signals of the up position signal 601 and the down position signal 602 are used to confirm the presence or absence of the needle up and the needle down, but it is not necessarily limited to this. Alternatively, only one of the up position signal 601 and the down position signal 602 may be used to check whether the needle is up or down.

The control unit 550 checks the production information related to the sewing work based on the work information and displays it on the display unit 530 . At this time, the production information may include the operating time of the sewing machine 200, the operating rate of the sewing machine 200, the average sewing time, the work quantity, the average number of sewing stitches for the product, line balancing, etc., and the production information displayed on the display unit 530. can be process-specific production information and factory production information.

More specifically, the control unit 550 uses the work information, the layout information of the sewing machine 200, and the process information of the product to check which process the work to be performed by the sewing machine 200 is included in. The control unit 550 can identify the product based on the layout information of the sewing machine 200 . The control unit 550 analyzes the order data in the work information to derive a repetition pattern, and compares the derived repetition pattern, the layout information of the sewing machine 200, and the process information for a plurality of processes included in the sewing work with the repetition pattern. It is possible to confirm what kind of work process the sewing machine 200 is working on.

The control unit 550 may determine the number of times the sewing machine 200 has performed the repetition pattern in the work process based on the work information, and calculate the work amount of the sewing machine 200 . The control unit 550 can calculate the work time for each sewing machine using the work information for each of the sewing machines arranged in the same work process. At this time, the control unit 550 may calculate the work time for each sewing machine using the calculated work amount and the preparation time, sewing time, stop time, and standby time of each sewing machine.

As described above, the control unit 550 uses the work process of the sewing machine 200, the work time of each sewing machine, and the like to check the work quantity, the operating time of the sewing machine, the average sewing time, etc. for the sewing machines arranged in the same work process. You can check the production information for each process. In this case, the operating time of the sewing machine may mean the time from when the sewing machine starts operating to when it finishes operating. In addition, the control unit 550 collects the production information for each process, calculates the average value, and confirms the production information for each entire process of the product produced in the sewing factory.

The control unit 550 checks the quality information related to the sewing work based on the work information and displays it on the display unit 530 . At this time, the quality information may include the product defect rate and the worker's ability value. More specifically, the control unit 550 checks the work process based on the work information, and checks the average number of stitches with respect to the number of sewing stitches performed by the sewing machine 200 in the work process. The control unit 550 confirms the target number of stitches in the process corresponding to the confirmed work process in the memory 540, and compares the confirmed target number of stitches with the average number of stitches. The control unit 550 compares the average number of stitches with the target number of stitches and checks the defect rate using the uniformity of the average number of stitches. In addition, the control unit 550 can check the operating minimum speed, average speed, and maximum speed of the sewing machine 200, compare them with the previously stored reference speed, and use the comparison result to check the defect rate. For example, if the average speed of the sewing machine 200 is faster or slower than the stored reference speed by a threshold value or more, the controller 550 can determine that the sewing quality is below average. In addition, the control unit 550 confirms the capability of the worker by using the preparation time, stop time and number of times, uniformity of the number of sewing stitches, sewing stitch width and sewing quality confirmed based on the work information. can be done.

In addition, the control unit 550 can transmit information about products produced in the sewing factory, such as product items and designs, to an external server (not shown). In addition, the control unit 550 can transmit sensing data, operation status of the sewing machine, work information, production information, and quality information acquired in each process when producing the corresponding product to the external server. Through this, when starting production of a new product, the control unit 550 derives information on processes, sewing machine operations, etc. necessary for product production through big data analysis or AI analysis of information stored in the external server. be able to.

FIG. 7 is a flow chart for explaining the production control method according to the embodiment of the present invention.

Referring to FIG. 7, at step 701, the control unit 550 checks whether a production control start signal is received from the input unit 520 or not. As a result of the confirmation in step 701, if the production control start signal is received, the controller 550 performs step 703, and if the production control start signal is not received, it waits for the production control start signal.

In step 703, the control unit 550 checks sensing data obtained by the sensor unit 210 attached to the sewing machine 200 installed in the sewing factory, and performs step 705. In step 705, the control unit 550 checks work information based on the sensing data. More specifically, the control unit 550 receives sensing data regarding repetitive motions of the sewing machine 200 during sewing. At this time, the sensing data may be sensing data acquired by the sensor unit 210 attached to one of the needle bar 220 , the pulley 230 , the balance 240 and the transfer unit 250 . The control unit 550 checks the operating state of the sewing machine including the preparation time, the sewing time, the number of sewing stitches, the stop time, the standby time, the number of stops, and stop position information generated in the sewing machine 200 from the sensing data. Based on the confirmed operating state of the sewing machine, control unit 550 confirms work information including needle up stop total data, all stop total data, and order data.

Subsequently, in step 707, when the control unit 550 receives a request signal for production information from the input unit 520, the control unit 550 performs step 709. FIG. In step 709, the control unit 550 displays the production information corresponding to the request signal on the display unit 530, and performs step 711. FIG. If the request signal for the production information is not received in step 707, the controller 550 performs step 711. FIG.

More specifically, the control unit 550 uses the work information, the layout information of the sewing machine 200, and the process information of the product to check which process the work to be performed by the sewing machine 200 is included in. The control unit 550 can identify the product based on the layout information of the sewing machine 200 . The control unit 550 analyzes the order data in the work information to derive a repetition pattern, and compares the derived repetition pattern, the layout information of the sewing machine 200, and the process information for a plurality of processes included in the sewing work with the repetition pattern. It is possible to confirm what kind of work process the sewing machine 200 is working on.

The control unit 550 can determine the number of times the sewing machine 200 performs the repetition pattern in the work process based on the work information, and calculate the work amount of the sewing machine 200 . Control unit 550 can use the work information for each of a plurality of sewing machines arranged in the same work process to calculate the work time for each sewing machine. At this time, the control unit 550 may calculate the work time for each sewing machine using the calculated work amount and the preparation time, sewing time, stop time, and standby time of each sewing machine.

As described above, the control unit 550 uses the work process of the sewing machine 200 and the work time for each sewing machine to check the work amount, sewing machine operation time, average sewing time, etc. for the sewing machines arranged in the same work process, and to perform the process. You can check other production information. Through this, the control unit 550 can extract and display the production information for the process received from the input unit 520 . In addition, the control unit 550 collects the production information for each process, calculates the average value, and confirms the production information of the entire process for the products produced in the garment factory.

When the controller 550 receives a request signal for quality information from the input unit 520 in step 711 , the controller 550 performs step 713 . In step 713, the control unit 550 displays the quality information corresponding to the request signal on the display unit 530, and performs step 715. FIG. Conversely, if the request signal is not received, the controller 550 performs step 715 . More specifically, the control unit 550 checks the work process based on the work information, and checks the average number of stitches with respect to the number of sewing stitches performed by the sewing machine 200 in the work process. The control unit 550 confirms the target number of stitches in the process corresponding to the confirmed work process in the memory 540, and compares the confirmed target number of stitches with the average number of stitches. The control unit 550 determines the uniformity of the average number of stitches by comparing the average number of stitches and the target number of stitches, and uses this to determine the defect rate. In addition, the control unit 550 can check the operating minimum speed, average speed, and maximum speed of the sewing machine 200, compare them with the previously stored reference speed, and use the comparison result to check the defect rate. In addition, based on the work information, the control unit 550 generates comparison target data for preparation time, stop time and number of times, uniformity of sewing stitch numbers, sewing stitch width, sewing quality, and the like. The control unit 550 compares the data to be compared with the reference data stored in the memory 540 for preparation time, stop time and number of stitches, uniformity of the number of sewing stitches, sewing stitch width and sewing quality. The control unit 550 can check the matching rate between the reference data and the comparison target data and the ability value of the worker.

In step 715, the control unit 550 terminates the corresponding process when an end signal for ending production management is received from the input unit 520, and waits for an end signal if the end signal is not received.

FIG. 8 is a drawing for explaining the needle up stop combined data according to the embodiment of the present invention. FIG. 9 is a diagram for explaining all stop sum data according to an embodiment of the present invention. FIG. 10 is a diagram for explaining order data according to an embodiment of the present invention. FIG. 11 is a diagram for explaining work information of the sewing machine according to the embodiment of the present invention.

Referring to FIGS. 8 to 11, the sensing data obtained by the sensor unit 210 of the control unit 550 may be a graph corresponding to the movement of the needle as shown in FIG. 8(a). The control unit 550 can check the needle up stop (UP), the needle down stop (DN), the sewing time, and the number of sewing stitches (stitches) according to the flow of time based on the sensing data. The control unit 550 calculates the preparation time Tp, the operation time Tr, the stop time Ts, the standby time Tw, and the work process as shown in FIG. You can see the total number of sewing stitches (39 stitches) made in . Then, the control unit 550 can generate a graph such as that shown in FIG. 8B as needle up stop total data.

The control unit 550 generates graphs for all stop sum data such as FIGS. 9(b) to 9(d) based on the graph for needle movement such as FIG. 9(a). All stop total data includes needle up stop total data and needle down stop total data. At this time, FIG. 9(a) may be the same graph as FIG. 8(a).

The control unit 550 can confirm detailed processes included in the work process as shown in FIGS. 9B to 9D based on the graph shown in FIG. 9A. For example, if the sewing is performed after the needle is raised in FIG. 9A and the needle is lowered, the control unit 550 confirms this as the first detail process as shown in FIG. and waiting time Tw can be confirmed. At this time, the preparation time Tp can be the needle up state, and the standby time Tw can be the needle down state. If the sewing is performed again after the first detailed process and the needle is lowered, the control unit 550 can confirm this as the second detailed process as shown in FIG. 9(c). At this time, the control unit 550 can confirm the waiting time Tw in the first detailed process as the preparation time Tp in the second detailed process, and the needle down state after the sewing is completed as the waiting time Tw. , and the number of sewing stitches for the second detail process can be confirmed. Subsequently, if the control unit 550 performs sewing again after the second detail process and the needle is lowered, this can be confirmed as a third detail process as shown in FIG. 9(d). At this time, the control unit 550 can confirm the waiting time Tw in the second detailed process as the preparation time Tp in the third detailed process, and the needle down state after the sewing is completed as the waiting time Tw. and the number of sewing stitches in the third detail process can be confirmed.

The control unit 550 generates graphs of order data as shown in FIGS. 10(b) to 10(d) based on the graph of needle movement as shown in FIG. 10(a). At this time, FIG. 9(a) may be the same graph as FIG. 8(a). The control unit 550 can generate sequence data corresponding to each detailed process as shown in FIGS. 10(b) to 10(d) based on the needle motion shown in FIG. 10(a). For example, the control unit 550 generates the number of sewing stitches and the waiting time Tw excluding the preparation time Tp in FIG. 9(b) confirmed as the first detailed process as the first order data as shown in FIG. 10(b). The control unit 550 generates the number of sewing stitches and the waiting time Tw excluding the preparation time Tp in FIG. 9(c) confirmed as the second detailed process as second order data as shown in FIG. 10(c). Finally, the control unit 550 generates the number of sewing stitches and the waiting time Tw, excluding the preparation time Tp in FIG. 9(d) confirmed as the third detailed process, as third order data as shown in FIG. 10(d). .

The control unit 550 generates work information as shown in FIG. 11 using the sensing data received by the sensor unit 210 through the operations shown in FIGS. At this time, the work information may include preparation time Tp, sewing time Tr1+Tr2+Tr3, stop time Ts1+Ts2, waiting time Tw, and the number of sewing stitches generated in the work process performed by sewing machine 200. FIG.

FIGS. 12 and 13 are diagrams for explaining combined data according to sewing machine operations according to an embodiment of the present invention. FIG. 14 is a diagram for explaining sequence data according to sewing machine operations according to an embodiment of the present invention.

12 to 14, when it is confirmed that the sewing machine 200 has finished sewing, the control unit 550 checks work information for the sewing machine 200. Referring to FIG. The control unit 550 uses the confirmed work information to generate a total data table as shown in FIG. For example, since the number of sewing stitches confirmed in FIG. 11 is 39 stitches in total, the control unit 550 adds 1 to the count field corresponding to the stitch range of 36-48. Then, the control unit 550 adds 39, which is the sewing stitch number confirmed in FIG. 11, to the total stitch number field, and adds the preparation time Tp confirmed in FIG. 11 to the total Tp field. The control unit 550 adds the sewing time Tr1+Tr2+Tr3 confirmed in FIG. 11 to the total Tr field, and adds the stop time Ts1+Ts2 and the standby time Tw confirmed in FIG. 11 to the total Ts field and total Tw field, respectively. In this way, the control unit 550 can generate the work information for the sewing machine 200 in the total data table as shown in FIG.

Then, the control unit 550 calculates the average number of stitches, the average Tp, the average Tr, the average Ts, and the average Tw using the combined data table to generate the average data table. At this time, the average number of stitches is count/total number of stitches, the average Tp is count/total Tp, the average Tr is count/total Tr, the average Ts is count/total Ts, and the average Tw is count/total Tw.

The control unit 550 may implement the average data table calculated in FIG. 12 as a graph as shown in FIG. FIG. 13(a) is a graph related to the number of sewing stitches, and FIG. 13(b) is a graph related to work time. The x-axis of FIG. 13(a) is the average number of stitches, and the y-axis is count. In addition, the x-axis of FIG. 13(b) is the average number of stitches, the y-axis can be time, and the y-axis is the average Tp, average Tr, average Ts, and average Tw of the average data table. be.

When it is confirmed that sewing machine 200 has stopped sewing, controller 550 generates an order data table as shown in FIG. 14 using the number of sewing stitches, sewing time, needle stop position, and waiting time. At this time, the controller 550 can determine that sewing has stopped if the needle does not move for 30 seconds or more. Referring to FIG. 14, numbers 1 to 10 can be work processes of the sewing machine 200, numbers 1 to 3 are the first detail process, numbers 4 to 6 are the second detail process, and numbers 7 to 10 are shown. can be the third detail step. Through this, the control unit 550 can confirm the repetition pattern in which the work of the sewing machine 200 is repeated. That is, since the control unit 550 generates an order data table each time sewing is stopped, analysis can be performed after generating a plurality of order data tables. The control unit 550 can confirm that the sewing machine 200 repeatedly performs the first detailed process, the second detailed process, and the third detailed process by analyzing the order data table.

FIG. 15 is a diagram showing production information according to processes according to an embodiment of the present invention. FIG. 16 is a diagram showing factory production information according to an embodiment of the present invention.

Referring to FIGS. 15 and 16, the control unit 550 displays the production information of any one of the overall processes for the product produced in the sewing factory on the display unit 530 according to the input of the input unit 520, as shown in FIG. can be displayed. At this time, workers A and B are assigned to the corresponding process to perform the work, and the corresponding process may include a first detailed process, a second detailed process and a third detailed process. The control unit 550 can display the sewing machine number, sewing machine type, worker's name, and position of the sewing machine 200 assigned to each worker. Production information including (cycletime) and average sewing time (working time) can be reviewed and displayed.

16, the control unit 550 can display the production information of the entire process (Line 1, Line 2, . As shown in FIG. 15, the control unit 550 can calculate and display the work count, the sewing machine operating time (cycletime) and the average sewing time (working time) confirmed by each worker for each process. For example, when workers A and B are assigned to work in the first process (Line 1), the control unit 550 calculates the average value of production information for workers A and B, and the calculated average value is shown in FIG. can display the production information for the first process (Line 1).

The embodiments of the present invention disclosed in the specification and drawings merely provide specific examples for easily explaining the technical content of the present invention and helping the understanding of the present invention, and do not limit the scope of the present invention. not trying to. Therefore, the scope of the present invention is interpreted to include not only the embodiments disclosed herein but also all modified or modified forms derived based on the technical idea of the present invention. should.

Claims (14)

Acquiring sensing data of the repetitive motion sensed by one sensor unit attached to at least a portion of the sewing machine in which the repetitive motion occurs during sewing;
generating work information based on the sensing data;
displaying production information confirmed based on the work information when a production information request signal related to the sewing work is received; and displaying production information confirmed based on the work information when a quality information request signal for the sewing work is received, based on the work information. displaying the quality information confirmed by the
Acquiring the sensing data includes:
Receiving sensing data of the repeated motion obtained by the sensor unit attached to one of the needle bar, the thread take-up, the transfer unit and the pulley of the sewing machine;
The step of generating the working information includes:
generating needle up stop total data indicating that the needle of the sewing machine is stopped at the up position based on the sensing data;
generating summed stop data for all the needle stops based on the sensing data; and
generating order data based on the sensing data; a production control method, comprising: The step of displaying the production information includes:
deriving a repetition pattern through analysis of the order data; and using the repetition pattern, the arrangement information of the sewing machine, and a comparison result between the repetition pattern and the process information for a plurality of processes included in the sewing work. 2. The production control method according to claim 1 , comprising the step of confirming the work process in which the is working. The step of displaying the production information includes:
3. The production control method according to claim 2 , further comprising the step of confirming the work volume of said sewing machine using said repetitive pattern. The step of displaying the production information includes:
4. The production management according to claim 3 , further comprising: confirming production information of the work process where the sewing machine is arranged by using the work quantity, operating time of the sewing machine and average sewing time. Method. The step of displaying the production information includes:
5. The production management method according to claim 4 , further comprising the step of calculating an average value after collecting the production information of the work processes for each process, and confirming the production information for the entire sewing work. The step of displaying the quality information includes:
comparing the number of sewing stitches in the sewing machine with a previously saved target number of stitches to confirm uniformity of the number of sewing stitches; and confirming a defect rate based on the uniformity. The production control method according to claim 1 , wherein The step of displaying the quality information includes:
generating comparison target data including the sewing machine set-up time, the sewing machine stop time and number of times, the sewing stitch number uniformity, the sewing stitch width and the sewing quality based on the work information;
7. The method according to claim 6 , comprising the steps of: retrieving previously saved reference data; and comparing the comparison target data with the reference data to confirm the worker ability value based on the matching rate. production control method. a communication unit that acquires sensing data on the repetitive motion sensed by one sensor unit attached to at least a portion of the sewing machine in which the repetitive motion occurs during sewing;
a control unit that generates work information based on the sensing data and confirms production information and quality information based on the work information; and a display unit that displays the production information and quality information ;
The communication unit
receiving sensing data about the repeated motion obtained by the sensor unit attached to one of the needle bar, the thread take-up, the transfer unit and the pulley of the sewing machine;
The control unit
for production control , wherein work information is generated based on the sensing data, including needle up stop total data indicating that the needle of the sewing machine stopped at the up position, total stop data for all the needle stops, and order data . electronic device. The control unit
A repetition pattern is derived through the analysis of the order data, and the sewing machine performs the work by using the repetition pattern, the arrangement information of the sewing machine, and the comparison result of the process information and the repetition pattern for a plurality of processes included in the sewing work. 9. The electronic device for production control according to claim 8 , wherein a certain work process is confirmed. The control unit
10. The production control electronic device as claimed in claim 9 , wherein the number of operations performed by the sewing machine is confirmed using the repeating pattern. The control unit
11. The production management electronic device as claimed in claim 10 , wherein the production information of the work process where the sewing machine is arranged is confirmed using the work quantity, the operating time of the sewing machine and the average sewing time. The control unit
12. The electronic device for production control of claim 11 , wherein the production information for the entire sewing work is confirmed by calculating an average value after collecting the production information for each work process. The control unit
checking the number of sewing stitches in the sewing machine, checking a previously stored target number of stitches, and comparing the number of sewing stitches with the target number of stitches, and based on uniformity of the number of sewing stitches ascertained. 9. The production control electronic device according to claim 8 , wherein the defect rate is confirmed. The control unit
Based on the work information, comparison target data including the preparation time of the sewing machine, the stop time and number of times of the sewing machine, the uniformity of the sewing stitch number, the sewing stitch width and the sewing quality are generated, and compared with the saved reference data. 14. The production control electronic device according to claim 13 , wherein the comparison target data are compared to confirm the worker's ability value based on the match rate.

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