KR20210064956A - Method and Electrical Apparatus for Production Management Using Work Information of Sewing Machine - Google Patents

Abstract

The present invention relates to a production management method using sewing machine operation information and to an electronic device. The method comprises the steps of: acquiring sensing data for a repetitive motion sensed by one sensor unit attached to at least a part of a sewing machine in which a repetitive motion is generated during a sewing operation; generating operation information based on the sensing data; displaying production information confirmed based on the operation information when a production information request signal related to the sewing operation is received; and displaying quality information confirmed based on the operation information, when a quality information request signal related to the sewing operation is received. Other embodiments are also applicable.

Description

{Method and Electrical Apparatus for Production Management Using Work Information of Sewing Machine}

The present invention relates to a production management method using sewing machine job information and an electronic device.

In general, in the case of a garment manufacturing factory, a number of sewing machines are arranged according to a process, and each sewing machine is assigned to a worker to perform a garment manufacturing operation by the worker. In such a garment manufacturing plant, it is necessary to manage the operations performed by each sewing machine, and to perform production management related to the production amount, the amount of work and the defective rate.

In order to efficiently perform such production management, a smart process that automatically collects and analyzes production information within the factory is being introduced to automate production management. However, in manufacturing factories that mainly use sewing machines such as sewing machines, the production management automation results are not satisfactory even if the smart process is introduced into the actual field due to the complex and difficult work characteristics of sewing work and the characteristics of large-scale manpower-oriented manufacturing sites. occurs continuously.

Embodiments of the present invention for solving these conventional problems attach one sensor to a component of a sewing machine that performs repetitive operations during sewing, such as a needle bar, a thread take-up unit, a transfer unit, and a pulley, and transmits the sensed data obtained from the sensor. An object of the present invention is to provide a production management method and an electronic device using sewing machine job information capable of performing production management through analysis.

A production management method according to an embodiment of the present invention includes: acquiring sensing data for the repetitive motion sensed by one sensor unit attached to at least a portion of a sewing machine in which a repetitive motion is generated during a sewing operation; the sensing data generating work information based on, when a production information request signal related to the sewing work is received, displaying production information confirmed based on the work information, and when a quality information request signal for the sewing work is received and displaying the checked quality information based on the work information.

In addition, the step of obtaining the sensed data is characterized in that the step of receiving the sensing data for the repeated operation obtained by the sensor unit attached to any one of a needle bar, a thread take-up, a transfer unit and a pulley of the sewing machine. .

In addition, the step of generating the work information, the step of generating the sum data of the bed stop at which the needle of the sewing machine is stopped in the up position based on the sensed data, the total data of all stops where the needle is stopped based on the sensing data and generating sequence data based on the sensing data.

In addition, the step of displaying the production information includes the steps of deriving a repeating pattern through the analysis of the sequence data, the repeating pattern, the arrangement information of the sewing machine, and process information and the repetition for a plurality of processes included in the sewing operation It characterized in that it comprises the step of confirming the working process in which the sewing machine is working by using the comparison result of the pattern.

In addition, the step of displaying the production information is characterized in that it comprises the step of confirming the number of operations in the sewing machine by using the repeating pattern.

In addition, the step of displaying the production information is characterized in that it comprises the step of confirming the production information of the work process in which the sewing machine is arranged using the number of work, the operating time of the sewing machine, and the average sewing time.

In addition, the step of displaying the production information is characterized in that it comprises the step of checking the production information for the entire sewing operation by calculating an average value after collecting the production information of the work process for each process.

In addition, the step of displaying the quality information comprises the steps of comparing the number of stitches in the sewing machine with the target number of stitches stored in advance to confirm the uniformity of the number of stitches and confirming the defective rate based on the uniformity. characterized.

In addition, the step of displaying the quality information includes, based on the work information, the preparation time of the sewing machine, the stop time and the number of times of the sewing machine, the uniformity of the number of stitches, the width of stitches and the quality of the sewing. It characterized in that it comprises the steps of calling the stored reference data, and comparing the comparison target data with the reference data to check the worker capability based on the matching rate.

In addition, the production management electronic device according to an embodiment of the present invention includes a communication unit for acquiring sensing data for the repeated operation sensed by one sensor unit attached to at least a portion of a sewing machine in which a repeated operation is generated during a sewing operation; It is characterized in that it generates work information based on the sensing data, and comprises a control unit for checking production information and quality information based on the work information, and a display unit for displaying the production information and quality information.

In addition, the communication unit is characterized in that it receives the sensing data for the repeated operation obtained by the sensor unit attached to any one of the needle bar, the thread take-up, the transfer unit and the pulley of the sewing machine.

In addition, the control unit, based on the sensed data, the needle of the sewing machine is stopped in the up position, it is characterized in that generating work information including the total stop data, the total stop data and sequence data of all the needle stops in the up position. .

In addition, the control unit derives a repeating pattern through the analysis of the sequence data, and uses the repeating pattern, arrangement information of the sewing machine, and process information for a plurality of processes included in the sewing operation and a comparison result of the repeating pattern It is characterized in that the sewing machine confirms the working process in operation.

In addition, the control unit is characterized in that by using the repeating pattern to check the number of work in the sewing machine.

In addition, the control unit is characterized in that by using the number of work, the operating time of the sewing machine and the average sewing time to check the production information of the work process in which the sewing machine is arranged.

In addition, the control unit, after collecting the production information of the work process for each process, calculates an average value, characterized in that to check the production information for the entire sewing work.

In addition, the control unit, confirming the number of stitches in the sewing machine, checking the pre-stored target number of stitches, and checking the defective rate based on the uniformity of the number of sewing stitches confirmed by comparing the number of stitches with the target number of stitches characterized in that

In addition, the control unit generates 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 number of stitches, the stitch width and the sewing quality based on the work information, and a reference stored in advance Comparing the data and the comparison target data, it is characterized in that the worker capability is confirmed based on the matching rate.

As described above, in the production management method and electronic device using the sewing machine work information according to the present invention, one sensor is attached to the components of the sewing machine that perform repetitive operations during sewing, such as the needle bar, the thread take-up unit, the transfer unit, and the pulley. There is an effect that more accurate production management can be performed through the analysis of the sensing data obtained from the sensor.

1 is a view showing a production management system for production management according to an embodiment of the present invention.
2 is a view showing a sewing machine according to an embodiment of the present invention.
FIG. 3 is a view showing a state in which a sensor is attached to the needle bar of the sewing machine shown in FIG. 2 .
FIG. 4 is a view showing a state in which a sensor is attached to the pulley of the sewing machine shown in FIG. 2 .
5 is a diagram illustrating a production management electronic device according to an embodiment of the present invention.
6 is a view for explaining a change in position information of a needle bar with respect to time and an analysis method thereof according to an embodiment of the present invention.
7 is a flowchart illustrating a production management method according to an embodiment of the present invention.
8 is a view for explaining the bed stop sum data according to an embodiment of the present invention.
9 is a view for explaining all stop sum data according to an embodiment of the present invention.
10 is a diagram for explaining sequence data according to an embodiment of the present invention.
11 is a view for explaining operation information of a sewing machine according to an embodiment of the present invention.
12 and 13 are diagrams for explaining the summed data according to the operation of the sewing machine according to an embodiment of the present invention.
14 is a view for explaining sequence data according to the operation of the sewing machine according to an embodiment of the present invention.
15 is a view showing production information according to a process according to an embodiment of the present invention.
16 is a view showing factory production information according to an embodiment of the present invention.

Hereinafter, preferred embodiments according to the present invention will be described in detail with reference to the accompanying drawings. DETAILED DESCRIPTION The detailed description set forth below in conjunction with the appended drawings is intended to describe exemplary embodiments of the present invention and is not intended to represent the only embodiments in which the present invention may be practiced. In order to clearly explain the present invention in the drawings, parts irrelevant to the description may be omitted, and the same reference numerals may be used for the same or similar components throughout the specification.

In an embodiment of the present invention, expressions such as “or” and “at least one” may indicate one of the words listed together, or a combination of two or more. For example, “A or B” or “at least one of A and B” may include only one of A or B, or both A and B.

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

1 to 4 , the production management system 100 according to the present invention includes a plurality of sewing machines 200 and an electronic device 500 disposed in a sewing factory such as a clothing manufacturing factory. In addition, a plurality of sewing machines 200 may be installed in a plurality for each of a plurality of processes to be passed to produce one product in a sewing factory.

The plurality of sewing machines 200a, 200b, and 200c may include sensor units 210a, 210b, and 210c, respectively. In an embodiment of the present invention, the plurality of sewing machines 200a, 200b, and 200c will be referred to as the sewing machine 200 and the plurality of sensor units 210a, 210b, and 210c will be referred to as the sensor unit 210 . The sensor unit 210 may include a sensor capable of detecting repetitive motions generated in the sewing machine 200, such as an acceleration sensor, a magnet sensor, an optical sensor, a vibration sensor, and an infrared sensor. In addition, the sensor unit 210 may be attached to a part of the sewing machine 200 in which a repeated operation is generated during the sewing operation, and the portion in which the repetitive operation is generated is the needle bar 220 and the pulley 230 of the sewing machine 200 . , the thread take-up 240 and the transfer unit 250 may be.

Referring to FIG. 3 as an example, a magnet 310a and a magnet sensor 310b are attached to the needle bar 220 of the sewing machine 200 to realize the sensor unit 210 . More specifically, the needle bar 220 is a configuration to which the needle is attached, and the magnet 310a is fixedly attached to the end of the needle bar 220 . The needle bar 220 performs a vertical motion by the sewing machine 200 , and the needle attached to the needle bar 220 performs sewing while moving up and down by the vertical motion of the needle bar 220 . The needle bar 220 is configured in a hollow shape at the other end, and a magnet 310a is inserted therein to be fixedly attached. The magnet sensor 310b forming a pair with the magnet 310a may be attached to the body itself of the sewing machine 200 , and may be attached to the upper portion of the space in which the needle bar 220 is installed in the sewing machine 200 . The magnet sensor 310b may detect 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 may be detected by using the change in the strength of the magnetic force of the magnet 310a. The magnet sensor 310b transmits sensing data for the sensed vertical motion to the electronic device 500 .

Referring to FIG. 4 as an example, an infrared sensor may be attached to the pulley 230 installed on the side of the sewing machine 200 to realize the sensor unit 210 . The pulley 230 is configured to move the needle bar 220 by receiving 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 and receiving light when in a stationary state in a needle up state, and a reflector is provided to reflect the received light. can do. Through this, the stop position of the needle can be confirmed. The sensor unit 210 is disposed above the sewing machine 200 to sense the rotational motion of the repeatedly rotated pulley 230 , and may be disposed at a position that does not interfere with the operation of the pulley 230 . In this way, the sensor unit 210 may additionally include a magnet to be disposed on the upper portion of the sewing machine 200 to be fixed. The sensor unit 210 detects the rotational motion of the pulley 230 and transmits the sensed data to the electronic device 500 . In addition, although it is described as an example that the sensor unit 210 is disposed on the upper part of the sewing machine 200 in FIG. 4 , it is not necessarily limited thereto. For example, if it is a position that does not interfere with the operation of the pulley 230 , the sensor unit 210 may be disposed on the upper surface of the table where the sewing machine 200 is located, and in this case, the sensor unit 210 may rotate the pulley 230 . It is preferable to be placed in a position where it can be detected.

The electronic device 500 is a device for checking work information, production information, and quality information of the sewing machine 200 by using the sensing data received from the sensor unit 210 provided in the sewing machine 200, and includes a computer, a tablet PC, It may be an electronic device such as a smart phone. The operation of the electronic device 500 will be described in more detail with reference to FIGS. 5 and 6 below.

5 is a diagram illustrating a production management electronic device according to an embodiment of the present invention. 6 is a view for explaining a change in position information of a needle bar with respect to time and an analysis method thereof according to an embodiment of the present invention.

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

The communication unit 510 performs communication with the sensor unit 210 attached to the sewing machine 200 . To this end, the communication unit 510 may perform short-range wireless communication such as Wi-Fi (wireless fidelity), Bluetooth (bluetooth), BLE (bluetooth low energy), NFC (near field communication), and the like, and the sensor unit 210 . Wired communication such as RS-232 and RS-232 can be performed. In addition, 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 in response to an input of a manager 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, a mouse, a keypad, a dome switch, a touch panel, a touch key, and a button.

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

The memory 540 stores operation programs of the electronic device 500 . The memory 540 stores the arrangement position of the sewing machine 200 disposed in the sewing factory, and stores overall process information for products produced in the sewing factory. The memory 540 stores stitches per inch (SPI) suitable for each process. In this case, the SPI is a number representing the number of stitches per inch, and the memory 540 may store the appropriate target number of stitches for each process calculated using the sewing length for the product in the process and the SPI. In addition, the memory 540 may store reference data for the preparation time for the operation, the stop time and the number of times, the uniformity of the number of stitches, the width of stitches and the quality of sewing.

The memory 540 analyzes the sensing data received from the sensor unit 210, and the sewing machine including preparation time, sewing time, number of stitches, stop time, standby time, number of stops and stop position information generated by the sewing machine 200 . Algorithms for checking the operating state can be stored. The memory 540 may store an algorithm for confirming work information including bed stop sum data, all stop sum data and sequence data based on the checked sewing machine operation state. In addition, the memory 540 may store an algorithm for checking the 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 disposed in a sewing factory that performs a sewing operation. The control unit 550 checks the sewing machine operation state based on the repeated operation generated in the sewing machine 200 based on the received sensing data. More specifically, the control unit 550 receives the sensing data as shown in FIG. 6(a) from the sensor unit 210 . In this case, 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 . In FIG. 6( a ), the x-axis is set to time and the y-axis to the needle position, and the control unit 550 controls the needle position, for example, the preparation time according to the needle up-position signal 601 and the needle down-position signal 602, You can check the sewing time, the number of stitches, the stop time, the waiting time, the number of stops, and the stop position information.

The control unit 550 may check the work information as shown in FIG. 6( b ) based on the confirmed up-position signal 601 and the down-position signal 602 . At this time, the work information may include the total bed stop data (UP STOP), the total settlement stop data (DN STOP), the number of sewing stitches (sewing stitches), the bed stop sum data (UP STOP) and the sinking stop sum data (DN) It can include all stop sum data and sequence data combined with 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 threshold value, for example, 2 seconds, and confirms the bed stop sum data (UP STOP) and the sink stop sum data (DN STOP). In addition, in the embodiment of the present invention, it is described that the bed and the submerged unit are checked using two signals, the up position signal 601 and the down position signal 602 , but the present invention is not necessarily limited thereto, and the up position signal is not limited thereto. (601) and the down position signal (602) using only any one of the signal can be confirmed the bed and the submerged.

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

More specifically, the control unit 550 uses the work information, the arrangement information of the sewing machine 200, and the process information of the product to check which process the work performed by the sewing machine 200 is included. The control unit 550 may determine what products are produced based on the arrangement information of the sewing machine 200 . The control unit 550 derives a repeating pattern by analyzing the sequence data among the work information, and compares the derived repeating pattern, the arrangement information of the sewing machine 200, and the process information for a plurality of processes included in the sewing work and the repeating pattern. It can be confirmed what kind of work process the sewing machine 200 works.

The control unit 550 may determine the number of times the sewing machine 200 performs a repeating pattern in a work process based on the work information to calculate the work quantity in the sewing machine 200 . The controller 550 may calculate the working time for each sewing machine by using the respective job information for a plurality of sewing machines arranged in the same working process. In this case, the control unit 550 may calculate the working time for each sewing machine by using the calculated quantity of work and the preparation time, sewing time, stop time, and standby time of each sewing machine.

As described above, the control unit 550 uses the working process of the sewing machine 200, the working time for each sewing machine, etc., to check the work quantity, the sewing machine operating time, and the average sewing time for the sewing machines arranged in the same working process to produce each process. information can be checked. In this case, the sewing machine operating time may mean a time from when the sewing machine starts to operate until the time when the operation ends. In addition, the control unit 550 may check the production information for each of the entire processes for the products produced in the sewing factory by calculating the average value after collecting the production information for each process.

The control unit 550 checks the quality information related to the sewing operation based on the operation information and displays it on the display unit 530 . In this case, the quality information may include a defective rate of a product and a 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 for the sewing stitches performed by the sewing machine 200 in the work process. The control unit 550 checks 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 checks the defective rate using the result of comparing the average number of stitches and the target number of stitches, and the uniformity of the average number of stitches. In addition, the control unit 550 may check the operating minimum speed, the average speed, and the maximum speed of the sewing machine 200 , compare it with the pre-stored reference speed, and check the defective rate using the comparison result. For example, when the average speed of the sewing machine 200 is faster or slower than a threshold value or more than the preset reference speed, the controller 550 may confirm that the sewing quality is below the average. In addition, the control unit 550 may check the capability of the operator using the preparation time, stop time and number of times, the uniformity of the number of stitches, the width of the stitches and the quality of sewing, etc. confirmed based on the work information.

In addition, the controller 550 may transmit product information, for example, a product item, a design, and the like, produced in a sewing factory to an external server (not shown). In addition, the control unit 550 may transmit the sensing data, the sewing machine operation state, work information, production information, and quality information obtained in each process when producing the corresponding product to an external server. Through this, when the control unit 550 intends to start production of a new product, it is possible to derive information on processes, sewing machine operations, etc. required for product production through big data analysis or AI analysis of information stored in an external server. .

7 is a flowchart illustrating a production management method according to an embodiment of the present invention.

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

In step 703 , the control unit 550 checks the sensing data acquired from the sensor unit 210 attached to the sewing machine 200 provided in the sewing factory, and performs step 705 . In step 705, the control unit 550 checks the job information based on the sensed data. More specifically, the control unit 550 receives sensing data for a repeated operation that is generated during a sewing operation in the sewing machine 200 . In this case, the sensing data may be the sensing data obtained from the sensor unit 210 attached to any one of the needle bar 220 , the pulley 230 , the thread take-up 240 and the transfer unit 250 . The controller 550 checks the sewing machine operation state including the preparation time, the sewing time, the number of sewing stitches, the stop time, the waiting time, the number of stops and the stop position information generated in the sewing machine 200 from the sensing data. And the control unit 550 checks the operation information including the bed stop sum data, all stop sum data and order data based on the checked sewing machine operation state.

Subsequently, when the control unit 550 receives a request signal for production information from the input unit 520 in step 707 , the control unit 550 performs step 709 . 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. If the request signal for production information is not received in step 707, the control unit 550 performs step 711.

More specifically, the control unit 550 uses the work information, the arrangement information of the sewing machine 200, and the process information of the product to check which process the work performed by the sewing machine 200 is included. The control unit 550 may determine what products are produced based on the arrangement information of the sewing machine 200 . The control unit 550 derives a repeating pattern by analyzing the sequence data among the work information, and compares the derived repeating pattern, the arrangement information of the sewing machine 200, and the process information for a plurality of processes included in the sewing work and the repeating pattern. It can be confirmed what kind of work process the sewing machine 200 works.

The control unit 550 may determine the number of times the sewing machine 200 performs a repeating pattern in a work process based on the work information to calculate the work quantity in the sewing machine 200 . The controller 550 may calculate the working time for each sewing machine by using the respective job information for a plurality of sewing machines arranged in the same working process. In this case, the control unit 550 may calculate the working time for each sewing machine by using the calculated quantity of work and the preparation time, sewing time, stop time, and standby time of each sewing machine.

As described above, the control unit 550 uses the working process of the sewing machine 200, the working time for each sewing machine, etc., to check the work quantity, the sewing machine operating time, and the average sewing time for the sewing machines arranged in the same working process to produce each process. information can be checked. Through this, the control unit 550 may extract and display the production information for the process received from the input unit 520 . In addition, the control unit 550 may check the production information of the entire process for the products produced in the sewing factory by calculating the average value after collecting the production information for each process.

In step 711 , when the control unit 550 receives a request signal for quality information from the input unit 520 , the control unit 550 performs step 713 . In step 713 , the control unit 550 displays quality information corresponding to the request signal on the display unit 530 and performs step 715 . 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 for the sewing stitches performed by the sewing machine 200 in the work process. The control unit 550 checks 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 as a result of comparing the average number of stitches and the target number of stitches, and uses this to check the defective rate. In addition, the control unit 550 may check the operating minimum speed, the average speed, and the maximum speed of the sewing machine 200 , compare it with the pre-stored reference speed, and check the defective rate using the comparison result. In addition, the control unit 550 generates comparative data on the preparation time, the stop time and the number of times, the uniformity of the number of stitches, the width of the stitches and the quality of the sewing based on the work information. The control unit 550 compares the comparison target data with reference data for the preparation time, the stop time and the number of times, the uniformity of the number of stitches, the stitch width and the sewing quality, etc. stored in the memory 540 . The control unit 550 may check the ability value of the operator with respect to the matching rate between the reference data and the comparison target data.

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

8 is a view for explaining the bed stop sum data according to an embodiment of the present invention. 9 is a view for explaining all stop sum data according to an embodiment of the present invention. 10 is a diagram for explaining sequence data according to an embodiment of the present invention. 11 is a view for explaining operation information of a sewing machine according to an embodiment of the present invention.

8 to 11 , in the controller 550 , the sensed data acquired by the sensor unit 210 may be a graph corresponding to the movement of the needle as shown in FIG. 8A . The control unit 550 may check the bed stop (UP), the sink stop (DN), the sewing time and the number of stitches (stitches) according to the passage of time based on the sensed data. The control unit 550 is the preparation time (Tp), the operation time (Tr), the stop time (Ts), the waiting time made in the work process as shown in Fig. 8 (b) in the graph for the movement of the needle as shown in Fig. 8 (a). You can check (Tw) and the total number of sewing stitches (39 stitches) made in the work process. And the control unit 550 may generate a graph as shown in FIG. 8(b) as the bed stop sum data.

The control unit 550 generates a graph for all stop sum data as shown in FIGS. 9(b) to 9(d) based on the graph for the movement of the needle as shown in FIG. 9(a). All stationary summation data includes the bedside stationary summation data and the subsidence stationary summation data. In this case, FIG. 9(a) may be the same graph as FIG. 8(a).

The controller 550 may check the detailed process included in the work process as shown in FIGS. 9(b) to 9(d) based on the graph shown in FIG. 9(a). For example, when the control unit 550 performs sewing after the needle bed in FIG. 9(a) and sinks, it is confirmed as the first detailed process as in FIG. 9(b), and the preparation time Tp, the number of sewing stitches and the waiting time (Tw) can be confirmed. In this case, the preparation time Tp may be a bed state, and the standby time Tw may be a subsidence state. The control unit 550 may confirm this as the second detailed process as shown in FIG. 9(c) when the sewing is performed again after the first detailed process and subsides. At this time, the control unit 550 may check the state confirmed as the standby time Tw in the first detailed process as the preparation time Tp of the second detailed process, and determine the submerged state after sewing is completed for the standby time Tw ), and the number of sewing stitches in the second detailed process can be checked. Subsequently, the control unit 550 performs the sewing again after the second detailed process, and when it sinks, it can be confirmed as the third detailed process as shown in FIG. 9( d ). At this time, the control unit 550 may check the state confirmed as the standby time Tw in the second detailed process as the preparation time Tp of the third detailed process, and determine the submerged state after sewing is completed for the standby time Tw ), and the number of sewing stitches in the third detailed process can be checked.

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

The control unit 550 generates work information as shown in FIG. 11 by using the sensing data received from the sensor unit 210 through the operations of FIGS. 8 to 10 . At this time, the work information includes the preparation time (Tp), the sewing time (Tr1+Tr2+Tr3), the stop time (Ts1+Ts2), the waiting time (Tw) and the number of sewing stitches generated in the work process performed by the sewing machine 200. may include

12 and 13 are diagrams for explaining the summed data according to the operation of the sewing machine according to an embodiment of the present invention. 14 is a view for explaining sequence data according to the operation of the sewing machine according to an embodiment of the present invention.

12 to 14 , the controller 550 checks work information for the sewing machine 200 when it is confirmed that sewing in the sewing machine 200 is finished. The control unit 550 generates a summation data table as shown in FIG. 12 by using the confirmed job information. For example, since the number of sewing stitches confirmed in FIG. 11 was a total of 39 stitches, the controller 550 adds 1 to the count field corresponding to a stitch range of 36 to 48. Then, the controller 550 adds 39, which is the number of sewing stitches confirmed in FIG. 11, to the total number of stitches field, and adds the preparation time Tp identified 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 the stop time (Ts1+Ts2) and waiting time confirmed in FIG. 11 to the total Ts field and the total Tw field, respectively (Tw) is added. As such, the control unit 550 may generate work information for the sewing machine 200 as a summation data table as shown in FIG. 12 .

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 summed data table to generate the average data table. In this case, the average number of stitches is calculated as count/total stitches, average Tp is count/total Tp, average Tr is count/total Tr, average Ts is count/total Ts, and average Tw is count/total Tw.

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

When it is confirmed that sewing is stopped in the sewing machine 200, the control unit 550 generates a sequence data table as shown in FIG. 14 using the number of stitches, sewing time, needle stop position, and waiting time. In this case, the control unit 550 may determine that the sewing is stopped when the needle does not move for more than 30 seconds. 14, No. 1 to No. 10 may be the working process of the sewing machine 200, No. 1 to No. 3 are the first detailed process, No. 4 to 6 are the second detailed process, and No. 7 to 10 may be the third detailed process. Through this, the control unit 550 may check a repeating pattern in which the operation in the sewing machine 200 is repeated. That is, since the control unit 550 generates an order data table whenever sewing is stopped, it is possible to perform analysis after generating a plurality of order data tables. The control unit 550 may confirm that the sewing machine 200 repeatedly performs the first detailed process, the second detailed process, and the third detailed process through the analysis of the sequence data table.

15 is a view showing production information according to a process according to an embodiment of the present invention. 16 is a view showing factory production information according to an embodiment of the present invention.

15 and 16, the control unit 550 according to the input of the input unit 520, as shown in FIG. 15, production information for any one process among the entire processes for products produced in the sewing factory on the display unit 530. can be displayed In this case, workers A and B are arranged to perform the work in the process, and the process may include a first detailed process, a second detailed process, and a third detailed process. The control unit 550 may display a sewing machine number, a sewing machine type, a worker name, and a position of the sewing machine 200 for the sewing machine 200 assigned to each worker, and a workcount, sewing machine operating time for each detailed process. Production information including (cycletime) and average sewing time (working time) can be checked and displayed.

In addition, the control unit 550 according to the input of the input unit 520, as shown in FIG. 16, the production information for the entire process (Line 1, Line 2, ... Line N) of the product produced in the sewing factory to the display unit 530. can be displayed As shown in FIG. 15 , the control unit 550 may calculate and display the work count, the sewing machine cycletime, and the average sewing time (working time) for each process identified according to each worker. For example, if workers A and B are placed and worked in the first process (Line1), the control unit 550 calculates the average value of the production information for workers A and B, and as the calculated average value, the first process ( Production information for Line1) can be displayed.

The embodiments of the present invention disclosed in the present specification and drawings are merely provided for specific examples to easily explain the technical contents of the present invention and help the understanding of the present invention, and are not intended to limit the scope of the present invention. Therefore, the scope of the present invention should be construed as including all changes or modifications derived based on the technical spirit of the present invention in addition to the embodiments disclosed herein are included in the scope of the present invention.

Claims (18)

acquiring sensing data for the repetitive motion sensed by one sensor unit attached to at least a portion of a sewing machine in which a repetitive motion is generated during a sewing operation;
generating job information based on the sensing data;
displaying production information confirmed based on the operation information when a production information request signal related to the sewing operation is received; and
displaying quality information confirmed based on the work information when a quality information request signal for the sewing work is received;
Production management method comprising a. According to claim 1,
The step of acquiring the sensing data includes:
Production management method, characterized in that the step of receiving the sensing data for the repeated operation acquired by the sensor unit attached to any one of the needle bar, the thread take-up, the transfer unit and the pulley of the sewing machine. 3. The method of claim 2,
The step of generating the work information includes:
generating, based on the sensed data, the total data of the bed stop in which the needle of the sewing machine is stopped in the up position;
generating the summation data of all stops at which the needle is stopped based on the sensed data; and
generating sequence data based on the sensing data;
Production management method comprising a. 4. The method of claim 3,
The step of displaying the production information is,
deriving a repeating pattern through the analysis of the sequence data; and
confirming a working process in which the sewing machine is working by using the repeating pattern, arrangement information of the sewing machine, and process information on a plurality of processes included in the sewing operation and a comparison result of the repeating pattern;
Production management method comprising a. 5. The method of claim 4,
The step of displaying the production information is,
confirming the number of operations in the sewing machine using the repeating pattern;
Production management method comprising a. 6. The method of claim 5,
The step of displaying the production information is,
checking production information of the working process in which the sewing machine is disposed using the number of jobs, the operating time of the sewing machine, and the average sewing time;
Production management method comprising a. 7. The method of claim 6,
The step of displaying the production information is,
checking the production information for the entire sewing operation by calculating an average value after collecting the production information of the working process for each process;
Production management method comprising a. 4. The method of claim 3,
The step of displaying the quality information includes:
checking the uniformity of the number of stitches by comparing the number of stitches in the sewing machine with the target number of stitches stored in advance; and
checking a defective rate based on the uniformity;
Production management method comprising a. 9. The method of claim 8,
The step of displaying the quality information includes:
generating comparison target data including a preparation time of the sewing machine, a stop time and number of times of the sewing machine, the uniformity of the number of stitches, a stitch width, and a sewing quality based on the work information;
calling pre-stored reference data; and
Comparing the comparison target data and the reference data to check the worker capability based on the matching rate;
Production management method comprising a. a communication unit configured to acquire sensing data for the repetitive motion sensed by one sensor unit attached to at least a portion of a sewing machine in which a repetitive motion is generated during a sewing operation;
a control unit generating job information based on the sensing data and checking production information and quality information based on the job information; and
a display unit for displaying the production information and quality information;
Production management electronic device comprising a. 11. The method of claim 10,
The communication unit,
Production management electronic device, characterized in that for receiving the sensing data for the repeated operation obtained by the sensor unit attached to any one of a needle bar, a thread take-up, a transfer unit and a pulley of the sewing machine. 12. The method of claim 11,
The control unit is
Production management electronic device, characterized in that based on the sensing data for generating work information including the bed stop sum data where the needle of the sewing machine is stopped in the up position, the total stop data of all the stops where the needle is stopped, and order data. 13. The method of claim 12,
The control unit is
A repeating pattern is derived through the analysis of the sequence data, and the sewing machine is operated by using the repeating pattern, the arrangement information of the sewing machine, and the process information for a plurality of processes included in the sewing operation and the comparison result of the repeating pattern. Production management electronics, characterized in that for checking the work process in progress. 14. The method of claim 13,
The control unit is
Production management electronic device, characterized in that for checking the number of work in the sewing machine by using the repeating pattern. 15. The method of claim 14,
The control unit is
The electronic device for production management, characterized in that the production information of the working process in which the sewing machine is disposed is checked using the number of jobs, the operating time of the sewing machine, and the average sewing time. 16. The method of claim 15,
The control unit is
Production management electronic device, characterized in that after collecting the production information of the work process for each process, calculating an average value to check the production information for the entire sewing work. 13. The method of claim 12,
The control unit is
checking the number of stitches in the sewing machine;
checking a pre-stored target number of stitches; and
Production management electronic device, characterized in that the defect rate is confirmed based on the uniformity of the number of sewing stitches confirmed by comparing the number of sewing stitches with the target number of stitches. 18. The method of claim 17,
The control unit is
Based on the work information, the preparation time of the sewing machine, the stop time and number of times of the sewing machine, the uniformity of the number of sewing stitches, the stitch width and the sewing quality are generated for comparison target data, and the stored reference data and the comparison target data are generated. Production management electronic device, characterized in that by comparing the data to check the worker capability based on the matching rate.

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