CN113179648A - Production management method using sewing machine work information and electronic device - Google Patents

Production management method using sewing machine work information and electronic device Download PDF

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Publication number
CN113179648A
CN113179648A CN201980016939.8A CN201980016939A CN113179648A CN 113179648 A CN113179648 A CN 113179648A CN 201980016939 A CN201980016939 A CN 201980016939A CN 113179648 A CN113179648 A CN 113179648A
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sewing
information
sewing machine
data
work
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李东勋
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Ari Infotech Inc
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Ari Infotech Inc
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/04Manufacturing
    • DTEXTILES; PAPER
    • D05SEWING; EMBROIDERING; TUFTING
    • D05BSEWING
    • D05B19/00Programme-controlled sewing machines
    • D05B19/02Sewing machines having electronic memory or microprocessor control unit
    • D05B19/04Sewing machines having electronic memory or microprocessor control unit characterised by memory aspects
    • D05B19/10Arrangements for selecting combinations of stitch or pattern data from memory ; Handling data in order to control stitch format, e.g. size, direction, mirror image
    • DTEXTILES; PAPER
    • D05SEWING; EMBROIDERING; TUFTING
    • D05BSEWING
    • D05B19/00Programme-controlled sewing machines
    • D05B19/02Sewing machines having electronic memory or microprocessor control unit
    • D05B19/12Sewing machines having electronic memory or microprocessor control unit characterised by control of operation of machine
    • DTEXTILES; PAPER
    • D05SEWING; EMBROIDERING; TUFTING
    • D05BSEWING
    • D05B19/00Programme-controlled sewing machines
    • D05B19/02Sewing machines having electronic memory or microprocessor control unit
    • D05B19/12Sewing machines having electronic memory or microprocessor control unit characterised by control of operation of machine
    • D05B19/14Control of needle movement, e.g. varying amplitude or period of needle movement
    • DTEXTILES; PAPER
    • D05SEWING; EMBROIDERING; TUFTING
    • D05BSEWING
    • D05B69/00Driving-gear; Control devices
    • DTEXTILES; PAPER
    • D05SEWING; EMBROIDERING; TUFTING
    • D05BSEWING
    • D05B69/00Driving-gear; Control devices
    • D05B69/20Control devices responsive to the number of stitches made
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
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    • G05B19/02Programme-control systems electric
    • G05B19/04Programme control other than numerical control, i.e. in sequence controllers or logic controllers
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06315Needs-based resource requirements planning or analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06316Sequencing of tasks or work
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0637Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30Computing systems specially adapted for manufacturing

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  • Manufacturing & Machinery (AREA)
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  • General Health & Medical Sciences (AREA)
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Abstract

The invention relates to a production management method and an electronic device using the working information of a sewing machine, comprising the following steps: acquiring sensing data of a repetitive motion sensed by a sensor part attached to at least a part of a sewing machine which performs the repetitive motion during sewing work; generating working information based on the sensing data; if a production information request signal related to a sewing work is received, displaying production information confirmed based on the work information; and displaying the quality information confirmed based on the work information if the quality information request signal of the sewing work is received. The invention is applicable to other embodiments as well.

Description

Production management method using sewing machine work information and electronic device
Technical Field
The invention relates to a production management method and an electronic device using sewing machine work information.
Background
In general, in the case of a clothing manufacturing factory, a large number of sewing machines are arranged according to a process, each sewing machine is assigned to a worker, and clothing manufacturing work is performed by the worker. In such a garment manufacturing plant, it is necessary to manage the work performed by each sewing machine, and to perform production management in relation to the production volume, the work amount, the defective rate, and the like.
In order to efficiently perform the production management as described above, an intelligent process for performing automation of the production management is introduced, and production information in a factory is automatically collected and analyzed. However, in a manufacturing factory mainly using a sewing machine such as a sewing machine, since a sewing work has complicated and difficult work characteristics and characteristics of a production site centered on a large-scale labor, even if an intelligent process is introduced into an actual site, a problem that a result of automation of production management is not satisfactory continues to occur.
Disclosure of Invention
(problem to be solved)
Embodiments of the present invention for solving such existing problems provide a production management method and an electronic device using sewing machine work information, in which a sensor is attached to a component of a sewing machine, such as a needle bar, a picker, a transfer portion, and a pulley, which performs repetitive motions at the time of sewing work, and sensing data obtained from the sensor is analyzed, thereby performing production management.
(means for solving the problems)
The production management method of the embodiment of the invention comprises the following steps: acquiring sensing data of a repetitive motion sensed by a sensor part attached to at least a part of a sewing machine which performs the repetitive motion during sewing work; (ii) a Generating working information based on the sensing data; if a production information request signal related to the sewing work is received, displaying production information confirmed based on the work information; and displaying quality information confirmed based on the work information if the quality information request signal of the sewing work is received.
In addition, the step of acquiring the sensing data comprises the following steps: receiving sensing data of the repetitive operation acquired by the sensor part attached to one of a needle bar, a thread take-up lever, a transfer part and a pulley of the sewing machine.
In addition, the step of generating the operation information includes the steps of: generating needle-up stop sum data in which a needle of the sewing machine stops at an up position based on the sensing data; generating total stop sum data of the needle stop 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 repetitive pattern by analyzing the sequential data; and a working process for confirming that the sewing machine is working by using the repetitive pattern, the configuration information of the sewing machine, the process information of a plurality of processes in the sewing work and the comparison result of the repetitive pattern.
In addition, the step of displaying the production information includes the step of confirming the number of operations of the sewing machine using the repetition mode.
In addition, the step of displaying the production information includes the steps of: and confirming the production information of the working procedures configuring the sewing machine by using the working quantity, the working time of the sewing machine and the average sewing time.
In addition, the step of displaying the production information includes the steps of: and calculating an average value after summarizing the production information of the working procedures according to the procedures, and confirming all the production information of the sewing work.
In addition, the step of displaying the quality information includes the steps of: comparing the number of sewing stitches of the sewing machine with the stored target number of stitches, and confirming the uniformity of the number of sewing stitches; and determining a failure rate based on the uniformity.
In addition, the step of displaying the quality information includes the steps of: generating comparison object data based on the working information, wherein the comparison object data comprises 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 sewing stitches, the width of the sewing stitches and the sewing quality; calling out the stored reference data; and comparing the comparison object data with the reference data, and confirming the ability value of the worker based on the consistency ratio.
Meanwhile, a production management electronic device of an embodiment of the present invention includes: a communication part, wherein the sewing machine repeatedly acts during sewing work, and a sensor part is attached to at least one part of the sewing machine so as to acquire the sensing data of the repeated action sensed by the sensor part; a control unit for generating work information based on the sensing data and confirming production information and quality information based on the work information; and a display unit for displaying the production information and the quality information.
In addition, the communication unit receives the sensing data of the repetitive operation acquired by the sensor unit attached to one of a needle bar, a thread take-up lever, a transfer unit, and a pulley of the sewing machine.
The control unit generates operation information including needle-up stop total data in which the needle of the sewing machine stops at the needle-up position, total stop total data in which the needle stops, and sequence data, based on the sensed data.
The control unit analyzes the sequence data to derive a repeat pattern, and confirms a working process in which the sewing machine is working, using the repeat pattern, the arrangement information of the sewing machine, the process information of the plurality of processes in the sewing work, and a comparison result of the repeat pattern.
In addition, the control part confirms the work amount of the sewing machine by using the repeated mode.
The control unit confirms production information of the work processes in which the sewing machine is arranged, using the number of works, the work time of the sewing machine, and the average sewing time.
The control unit collects production information of the work processes for each process, calculates an average value, and confirms production information of all the sewing operations.
The control unit confirms the number of sewing stitches of the sewing machine, confirms the stored target number of stitches, and confirms the failure rate based on the uniformity of the number of sewing stitches confirmed by comparing the number of sewing stitches and the target number of stitches.
Further, the control unit generates comparison target data including a preparation time of the sewing machine, a stop time and a number of times of the sewing machine, a uniformity of the number of sewing stitches, a sewing stitch width, and a sewing quality based on the work information, compares the stored reference data with the comparison target data, and confirms a worker capability value based on a matching rate.
(Effect of the invention)
As described above, the production management method and the electronic device using the work information of the sewing machine according to the present invention have the following effects: a sensor is attached to a component of a sewing machine, such as a needle bar, a thread take-up lever, a transfer portion and a pulley, which performs a repetitive motion during a sewing operation, and sensed data obtained by the sensor is analyzed, whereby more accurate production management can be performed.
Drawings
Fig. 1 is a diagram showing a production management system for production management of an embodiment of the present invention.
Fig. 2 is a view showing a sewing machine of an embodiment of the present invention.
Fig. 3 is a view showing the appearance of a needle bar attachment sensor in the sewing machine of fig. 2.
Fig. 4 is a view showing a state in which a sensor is attached to a pulley of the sewing machine of fig. 2.
Fig. 5 is a diagram showing production management electronics of an embodiment of the present invention.
Fig. 6 is a diagram for explaining a change in position information of the time bar and an analysis method thereof according to the embodiment of the present invention.
Fig. 7 is a flowchart for explaining a production management method of the embodiment of the present invention.
Fig. 8 is a diagram for explaining the rise-stop sum data according to the embodiment of the present invention.
Fig. 9 is a diagram for explaining the total stop sum data according to the embodiment of the present invention.
Fig. 10 is a diagram of sequence data for explaining an embodiment of the present invention.
Fig. 11 is a diagram for explaining operation information of the sewing machine according to the embodiment of the present invention.
Fig. 12 and 13 are diagrams for explaining the total data according to the operation of the sewing machine according to the embodiment of the present invention.
Fig. 14 is a diagram for explaining sequence data according to the operation of the sewing machine according to the embodiment of the present invention.
Fig. 15 is a diagram showing production information according to a process of an embodiment of the present invention.
Fig. 16 is a diagram showing factory production information of the embodiment of the present invention.
Detailed Description
Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. The detailed description to be disclosed below together with the accompanying 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 can be practiced. In order to clearly explain the present invention, portions irrelevant to the description may be omitted in the drawings, and the same reference numerals may be used for the same or similar members throughout the specification.
In one embodiment of the invention, the expression "or", "at least one", etc. may mean one or a combination of two or more of the words listed together. 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.
Fig. 1 is a diagram showing a production management system for production management of an embodiment of the present invention. Fig. 2 is a view showing a sewing machine of an embodiment of the present invention. Fig. 3 is a view showing the appearance of a needle bar attachment sensor in the sewing machine of fig. 2. Fig. 4 is a view showing a state in which a sensor is attached to a pulley of the sewing machine of fig. 2.
Referring to fig. 1 to 4, a production management system 100 according to the present invention includes a plurality of sewing machines 200 and an electronic device 500 arranged in a sewing factory such as a garment manufacturing factory. Meanwhile, the plurality of sewing machines 200 may be provided in plurality for each of a plurality of processes that must be passed in order to produce one product in a sewing factory.
The plurality of sewing machines 200a, 200b, 200c may include sensor portions 210a, 210b, 210c, respectively. In the embodiment of the present invention, the plurality of sewing machines 200a, 200b, 200c are described as the sewing machine 200, and the plurality of sensor portions 210a, 210b, 210c are described as the sensor portion 210. The sensor part 210 may include a sensor that can sense repetitive motion occurring at the sewing machine 200, such as an acceleration sensor, a magnet sensor, a light sensor, a vibration sensor, an infrared sensor, and the like. Meanwhile, the sensor part 210 may be attached to a portion of the sewing machine 200 that repeats an operation during a sewing operation, and the portion that repeats the operation may be the needle bar 220, the pulley 230, the thread take-up lever 240, and the transfer part 250 of the sewing machine 200.
Referring to fig. 3, 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. In more detail, the needle bar 220 is a structure for mounting a needle, and the magnet 310a may be fixed and attached to the end of the needle bar 220. The needle bar 220 performs an up-and-down motion by the sewing machine 200, and the needle mounted on the needle bar 220 performs sewing while moving up and down by the up-and-down motion of the needle bar 220. The needle bar 220 has a hollow shape at the other end, and a magnet 310a can be inserted into the hollow shape and fixed thereto. The magnet sensor 310b paired with the magnet 310a (pair) is attached to the body itself of the sewing machine 200, and may be attached to an upper portion of a space in the sewing machine 200 where the needle bar 220 is provided. The magnet sensor 310b may sense the magnet 310a fixed and attached to the other end of the needle bar 220 each time the needle bar 220 performs the up-and-down movement. The up and down movement of the needle bar 220 to which the magnet 310a is attached is sensed by the variation of the strength of the magnetic force of the magnet 310 a. The magnet sensor 310b transmits sensing data of the sensed up-and-down motion to the electronic device 500.
Referring to fig. 4, an infrared sensor is attached to a pulley 230 provided on a side surface of the sewing machine 200 to realize the sensor unit 210. The pulley 230 is a structure for receiving a rotational force of a motor (not shown) provided at the sewing machine 200 to move the needle bar 220. In more detail, in the case where the sensor part 210 is implemented by an infrared sensor, a light emitting part and a light receiving part that can emit and receive light when in a stationary state in a needle up (needle up) state may be included, and a reflection plate may be provided to reflect and receive light. Accordingly, the stop position of the needle can be confirmed. The sensor unit 210 is disposed above the sewing machine 200, and is capable of sensing the rotational movement of the repeatedly rotated pulley 230, and the sensor unit 210 is disposed at a position not interfering with the operation of the pulley 230. As described above, the sensor unit 210 may further include a magnet to be fixedly disposed at the upper portion of the sewing machine 200. The sensor unit 210 senses the rotational movement of the pulley 230 and transmits the sensed data to the electronic device 500. Meanwhile, in fig. 4, the sensor portion 210 is illustrated as being disposed above the sewing machine 200, but it is not necessarily limited thereto. For example, the sensor unit 210 may be disposed on the upper surface of the table on which the sewing machine 200 is placed, as long as the sensor unit 210 does not interfere with the movement of the pulley 230, and in this case, the sensor unit 210 is preferably disposed at a position where the rotational movement of the pulley 230 can be sensed.
The electronic device 500 is a device for confirming the operation information, the production information, and the quality information of the sewing machine 200 using the sensing data received from the sensor unit 210 disposed at the sewing machine 200, and may be an electronic device such as a computer, a tablet PC, a smart phone, and the like.
The operation of the electronic device 500 will be described in more detail with reference to fig. 5 and 6.
Fig. 5 is a diagram showing production management electronics of an embodiment of the present invention. Fig. 6 is a diagram for explaining a change in position information of the time bar and an analysis method thereof according to the embodiment of the present invention.
Referring to fig. 5 and 6, an electronic device 500 of the present invention includes: communication unit 510, input unit 520, display unit 530, memory 540, and control unit 550.
The communication part 510 performs communication with the sensor part 210 attached to the sewing machine 200. For this reason, the communication section 510 may perform short-range wireless communication of Wi-Fi (wireless fidelity), bluetooth (bluetooth), BLE (bluetooth low energy), NFC (near field communication), etc., and may perform wired communication of RS-232, etc., with the sensor section 210. The communication unit 510 is directly connected to the sensor unit 210, and may directly receive a signal from the sensor unit 210.
The input unit 520 generates input data in response to an input by a manager of the electronic apparatus 500. The input part 520 includes at least one input tool. To this end, the input part 520 may include a keyboard, a mouse, a keypad, a dome switch, a touch panel, touch keys and buttons, and the like.
The display unit 530 outputs output data according to the operation of the electronic device 500. For this, the display part 530 may include a Liquid Crystal Display (LCD), a Light Emitting Diode (LED) display, an Organic Light Emitting Diode (OLED) display, a Micro Electro Mechanical Systems (MEMS) display, and an electronic paper (electronic paper) display. The display part 530 may be implemented by a touch screen (touch screen) in combination with the input part 520.
The memory 540 stores an operation program of the electronic apparatus 500. The memory 540 stores the arrangement position of the sewing machine 200 arranged in the sewing factory and stores all the process information of the products produced in the sewing factory. The memory 540 stores SPI (pins per inch) suitable for each process. In this case, the memory 540 stores a target number of stitches calculated from the sewing length and the SPI of the product in the factory, which is suitable for each process. In addition, the memory 540 may store reference data for setup time, stop time and number of jobs, uniformity of the number of sewing stitches, width of sewing stitches, sewing quality, and the like.
The memory 540 may store a mechanism for analyzing the sensing data received from the sensor part 210 to confirm the operation 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 the stop position information generated in the sewing machine 200. The memory 540 may hold a mechanism for confirming the work information including needle-up stop sum data, all stop sum data, and sequence data based on the confirmed sewing machine operation state. In addition, the memory 540 may store a mechanism for confirming production information and quality information of the sewing machine 200 based on the work information.
The control part 550 receives sensing data sensed by the sensor part 210, the sensor part 210 is attached to at least a part of the sewing machine 200, and the sewing machine 200 is disposed at a sewing factory where a sewing work is performed. The control unit 550 confirms the operating state of the sewing machine based on the repetitive operation generated in the sewing machine 200 based on the received sensing data. More specifically, the control unit 550 receives the sensing data from the sensor unit 210 as shown in fig. 6 (a). At this time, the sensing data as in fig. 6(a) may be sensing data for needle movement acquired by the sensor part 210 in a state where the sensor part 210 is attached to the needle bar 220. In fig. 6(a), the x-axis is set as time, the y-axis is set as needle position, and the control unit 550 can confirm the preparation time, sewing time, the number of sewing stitches, stop time, standby time, the number of stops, and stop position information based on the needle position (for example, the needle-up position signal 601 and the needle-down position signal 602).
The control unit 550 can confirm the operation information as shown in fig. 6(b) based on the confirmed rising position signal 601 and falling position signal 602. At this time, the operation information may include needle-UP STOP sum data (UP STOP), needle-down STOP sum data (DN STOP), the number of sewing stitches (winding stitch), and may include all STOP sum data and sequence data in combination of the needle-UP STOP sum data (UP STOP) and the needle-down STOP sum data (DN STOP). At this time, the control unit 550 checks the position of the needle when the needle movement has no critical value (for example, 2 seconds or more), and further checks the needle UP STOP sum data (UP STOP) and the needle down STOP sum data (DN STOP). Meanwhile, in the embodiment of the present invention, it is described that whether the needle is raised or not and whether the needle is lowered or not are confirmed using two kinds of signals of the rising position signal 601 and the falling position signal 602, but it is not necessarily limited thereto, and whether the needle is raised or not and whether the needle is lowered or not may be confirmed using only one kind of signal of the rising position signal 601 and the falling position signal 602.
The control unit 550 confirms production information related to the sewing operation based on the operation information and displays the information on the display unit 530. In this case, the production information may include the operation time of the sewing machine 200, the operation rate of the sewing machine 200, the average sewing time, the number of operations, the average number of sewing stitches of the product, the line balance, and the like, and the production information displayed on the display part 530 may be production information and factory production information for each process.
More specifically, the control unit 550 determines which process the work performed by the sewing machine 200 is included in, using the work information, the arrangement information of the sewing machine 200, and the process information of the product. The control part 550 can confirm what the produced product is based on the configuration information of the sewing machine 200. The control unit 550 analyzes the sequence data in the operation information to derive a repeat pattern, compares the derived repeat pattern with the arrangement information of the sewing machine 200, and compares the process information of the plurality of processes in the sewing operation with the repeat pattern, and can confirm which process the operation process performed by the sewing machine 200 is.
The control unit 550 confirms the number of times of executing the repetitive pattern of the sewing machine 200 in the operation process based on the operation information, and can calculate the number of operations of the sewing machine 200. The control unit 550 can calculate the operation time for each sewing machine by using the operation information of the plurality of sewing machines arranged in the same operation step. At this time, the control part 550 may calculate the operation time for each sewing machine using the calculated number of operations and the preparation time, sewing time, stop time, and standby time of each sewing machine.
As described above, the control unit 550 can confirm the number of operations of the sewing machines disposed in the same operation process, the operation time of the sewing machine, the average sewing time, and the like, using the operation process of the sewing machine 200, the operation time of each sewing machine, and the like, and can further confirm the production information in each process. At this time, the sewing machine operation time may mean a time point from a time point when the sewing machine starts to operate to a time point when the operation is finished. The control unit 550 calculates an average value after aggregating the production information for each process, and can check the production information for each process of the product produced in the sewing plant.
The control unit 550 confirms quality information on the sewing work based on the work information and displays the quality information on the display unit 530. At this time, the quality information may include a reject ratio of the product and a capability value of the worker. More specifically, the control unit 550 confirms the operation process based on the operation information, and confirms the average stitch number of the stitch numbers executed by the sewing machine 200 in the operation process. The control unit 550 checks the target stitch number of the process corresponding to the checked work process in the memory 540, and compares the checked target stitch number and the average stitch number. The controller 550 determines the defective rate by using the uniformity of the average stitch number based on the comparison result between the average stitch number and the target stitch number. The control unit 550 checks the minimum speed, the average speed, and the maximum speed of the operation of the sewing machine 200, compares the minimum speed, the average speed, and the maximum speed with the stored reference speed, and checks the defective rate using the comparison result. For example, in the case where the average speed of the sewing machine 200 is higher or lower than the stored reference speed, the control section 550 may confirm that the sewing quality is below the average. Meanwhile, the control unit 550 can confirm the ability value of the worker by using the preparation time, the stop time and the number of times, the uniformity of the number of sewing stitches, the width of the sewing stitches, the sewing quality, and the like, which are confirmed based on the work information.
Meanwhile, the control part 550 may transmit product information (e.g., product item, design, etc.) produced at the sewing factory to an external server (not shown). The control unit 550 may transmit the sensed data, the operation state of the sewing machine, the work information, the production information, and the quality information, which are acquired in each process when the product is produced, to an external server. Accordingly, when a new product is to be produced, the control unit 550 can derive information on a process, a sewing machine operation, and the like required for producing the product by performing the big data analysis or the AI analysis of the information stored in the external server.
Fig. 7 is a flowchart for explaining a production management method of the embodiment of the present invention.
Referring to fig. 7, in step 701, the control unit 550 checks whether or not the production management start signal is received from the input unit 520. As a result of the confirmation in step 701, the control unit 550 executes step 703 if the production management start signal is received, and waits for the reception of the production management start signal if the production management start signal is not received.
In step 703, the control unit 550 checks the sensing data acquired from the sensor unit 210 attached to the sewing machine 200 disposed in the sewing factory, and executes step 705. In step 705, the control unit 550 confirms the operation information based on the sensing data. More specifically, the control unit 550 receives, from the sewing machine 200, sensing data of repetitive operations occurring during the sewing operation. In this case, 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 thread take-up lever 240, and the transport unit 250. The control part 550 confirms the operation 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 stop times and the stop position information generated in the sewing machine 200 from the sensing data. Then, the control part 550 confirms the operation information including the needle-up stop sum data, the all-stop sum data and the sequence data based on the confirmed operation state of the sewing machine.
Then, in step 707, if the control unit 550 receives a request signal for production information from the input unit 520, the control unit 550 executes step 709. In step 709, the control unit 550 displays the production information corresponding to the request signal on the display unit 530, and step 711 is executed. In step 707, if the request signal for production information is not received, the control unit 550 executes step 711.
More specifically, the control unit 550 determines which process the work performed by the sewing machine 200 is included in, using the work information, the arrangement information of the sewing machine 200, and the process information of the product. The control part 550 can confirm what the produced product is based on the configuration information of the sewing machine 200. The control unit 550 analyzes the sequence data in the operation information to derive the repetition pattern, compares the derived repetition pattern with the arrangement information of the sewing machine 200, and compares the process information of the plurality of processes in the sewing operation with the repetition pattern, and can confirm which process the operation process of the sewing machine 200 is.
The control part 550 confirms that the number of times the sewing machine 200 performs the repetitive pattern in the working process based on the working information can calculate the number of operations of the sewing machine 200. The control unit 550 can calculate the operation time for each sewing machine by using the operation information of the plurality of sewing machines arranged in the same operation step. At this time, the control part 550 may calculate the operation time for each sewing machine using the calculated number of operations and the preparation time, sewing time, stop time, and standby time of each sewing machine.
As described above, the control unit 550 can confirm the number of operations of the sewing machine, the operation time of the sewing machine, the average sewing time, and the like arranged in the same operation process by using the operation process of the sewing machine 200, the operation time of each sewing machine, and the like, and can confirm the production information by process. Accordingly, the control unit 550 can extract and display the production information of the process received from the input unit 520. Meanwhile, the control unit 550 calculates an average value after collecting production information for each process, and can confirm production information for all processes of a product produced in a sewing plant.
In step 711, when the control unit 550 receives a request signal for quality information from the input unit 520, the control unit 550 executes step 713. At step 713, the control unit 550 displays the quality information corresponding to the request signal on the display unit 530, and step 715 is executed. On the contrary, if the request signal is not received, the control unit 550 executes step 715. More specifically, the control unit 550 confirms the operation process based on the operation information, and confirms the average stitch number of the stitch numbers executed by the sewing machine 200 in the operation process. The control unit 550 checks the target stitch number of the process corresponding to the checked work process from the memory 540, and compares the checked target stitch number and the average stitch number. The control unit 550 determines the uniformity of the average stitch number based on the comparison result between the average stitch number and the target stitch number, and determines the defective rate based on the determination result. The control unit 550 checks the lowest speed, average speed and highest speed of the operation of the sewing machine 200, compares the checked speeds with the stored reference speeds, and checks the defective rate based on the comparison result. Meanwhile, the control unit 550 generates comparison target data such as the preparation time, the stop time and the number of times, the uniformity of the number of sewing stitches, the width of the sewing stitches, the sewing quality, and the like based on the operation information. The control unit 550 compares the comparison target data with reference data such as the preparation time, stop time, number of times, uniformity of the number of sewing stitches, width of sewing stitches, and sewing quality stored in the memory 540. The control unit 550 may confirm the ability value of the worker using the coincidence rate of the reference data and the comparison target data.
In step 715, when an end signal for ending the production management is received from the input unit 520, the control unit 550 ends the flow, and when the end signal is not received, the control unit 550 waits for the reception of the end signal.
Fig. 8 is a diagram for explaining the rise-stop sum data according to the embodiment of the present invention. Fig. 9 is a diagram for explaining the total stop sum data according to the embodiment of the present invention. Fig. 10 is a diagram of sequence data for explaining an embodiment of the present invention. Fig. 11 is a diagram for explaining operation information of the sewing machine according to the embodiment of the present invention.
Referring to fig. 8 to 11, the sensing data acquired from the sensor part 210 by the control part 550 may be a graph corresponding to the needle activity as 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 (stitch es) with time based on the sensed data. The control unit 550 may be configured to set a preparation time (Tp), an operation time (Tr), a stop time (Ts), a standby time (Tw), and a total stitch number (39stitches) realized in the operation process as shown in fig. 8(b) in the needle motion graph shown in fig. 8 (a). Then, the control part 550 may generate a graph as in fig. 8(b) as the needle-up-stop sum data.
The control unit 550 generates a graph of the total stop sum data shown in fig. 9(b) to 9(d) based on the graph of the needle movement shown in fig. 9 (a). The all-stop sum data includes needle-up-stop sum data and needle-down-stop sum data. At this time, fig. 9(a) may be the same graph as fig. 8 (a).
The control unit 550 can confirm the detailed processes included in the working process as shown in fig. 9(b) to 9(d) based on the graph as shown in fig. 9 (a). For example, if the needle is raised in fig. 9(a) and then lowered after sewing is performed, the control unit 550 can check the preparation time (Tp), the number of sewing stitches, and the standby time (Tw) as the first detailed step in fig. 9 (b). At this time, the preparation time (Tp) may be a needle-up state, and the standby time (Tw) may be a needle-down state. The control unit 550 performs the sewing again after the first detailed process, and if it descends, it is confirmed as the second detailed process as shown in fig. 9 (c). In this case, the control unit 550 may confirm the state recognized as the standby time (Tw) in the first detailed process as the preparation time (Tp) of the second detailed process, confirm the state lowered after completion of sewing as the standby time (Tw), and confirm the number of sewing stitches of the second detailed process. Then, when the sewing is performed again and the lowering is performed after the second detailed step, the control unit 550 confirms that it is the third detailed step as shown in fig. 9 (d). At this time, the control unit 550 may confirm that the state of the waiting time (T w) in the second detailed step is the preparation time (Tp) of the third detailed step, confirm that the state of the needle thread descending after completion of sewing is the waiting time (Tw), and confirm the number of sewing stitches of the third detailed step.
The control unit 550 generates a graph of the sequence data shown in fig. 10(b) to 10(d) based on the graph of the needle movement 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 fig. 10(b) to 10(d) based on the operation of the needle as shown in fig. 10 (a). For example, as shown in fig. 10(b), the control unit 550 generates the number of sewing stitches and the standby time (Tw) other than the preparation time (Tp) in fig. 9(b) confirmed as the first detailed step as the first sequence data. As shown in fig. 10(c), the control unit 550 generates the number of sewing stitches and the standby time (Tw) other than the preparation time (Tp) in fig. 9(c) confirmed as the second detailed step as second sequence data. Finally, as shown in fig. 10(d), the control unit 550 generates the number of sewing stitches and the standby time (Tw) other than the preparation time (Tp) in fig. 9(d) confirmed as the third detailed step as the third sequence data.
The control unit 550 generates the operation information as shown in fig. 11 using the sensing data received from the sensor unit 210 through the operations of fig. 8 to 10. At this time, the work information may include a setup time (Tp), a sewing time (Tr1+ Tr2+ Tr3), a stop time (T s1+ Ts2), a standby time (Tw), and the number of sewing stitches generated in the work process performed by the sewing machine 200.
Fig. 12 and 13 are diagrams for explaining the total data according to the operation of the sewing machine according to the embodiment of the present invention. Fig. 14 is a diagram for explaining sequence data according to the operation of the sewing machine according to the embodiment of the present invention.
Referring to fig. 12 to 14, if it is confirmed that the sewing machine 200 finishes sewing, the control part 550 confirms the operation information of the sewing machine 200. The control unit 550 generates the sum data table shown in fig. 12 using the confirmed operation information. For example, since the number of sewing stitches confirmed in fig. 11 is 39 in total, the controller 550 adds 1 to the count field of 36 to 48 in the stitch range (stitch range). Then, the control unit 550 adds 39 of the number of sewing stitches confirmed in fig. 11 to the total number of stitches field, and adds the preparation time (Tp) confirmed in fig. 11 to the total Tp field. The controller 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 the total Tw field, respectively. In this way, the control unit 550 can generate the operation information of the sewing machine 200 as the sum data table of fig. 12.
Then, the control unit 550 calculates the average pin count, the average Tp, the average Tr, the average Ts, and the average Tw using the sum data table, and generates an average data table. At this time, the average stitch number is calculated as count/total stitch number, the average Tp is calculated as count/total Tp, the average Tr is calculated as count/total Tr, the average Ts is calculated as count/total Ts, and the average Tw is calculated as count/total Tw.
As shown in fig. 13, the control unit 550 may graphically implement the average data calculated in fig. 12. Fig. 13(a) is a graph relating to the number of sewing stitches, and fig. 13(b) is a graph relating to the work implementation. In FIG. 13(a), the x-axis represents the average stitch number and the y-axis represents the count. In addition, the x-axis of fig. 13(b) is the average pin count, and the y-axis may be time, and the y-axis generates a graph based on the average Tp, the average Tr, the average Ts, and the average Tw of the average data table.
When it is confirmed that the sewing machine 200 stops sewing, the control unit 550 generates a sequence data table as shown in fig. 14 using the number of sewing stitches, the sewing time, the needle stop position, and the standby time. At this time, the controller 550 may determine that the needle is not moved for 30 seconds or more as stopping the sewing. Referring to fig. 14, reference numerals 1 to 10 may be working processes of the sewing machine 200, 1 to 3 are first detailed processes, 4 to 6 are second detailed processes, and 7 to 10 may be third detailed processes. Accordingly, the control unit 550 can confirm the repetitive pattern in which the sewing machine 200 repeatedly operates. That is, the control part 550 generates the order data table every time the sewing is stopped, and thus can perform the analysis 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 sequence data table.
Fig. 15 is a diagram showing production information according to a process of an embodiment of the present invention. Fig. 16 is a diagram showing factory production information of the embodiment of the present invention.
Referring to fig. 15 and 16, the control unit 550 can display production information of one process among all processes of a product produced in a sewing plant on the display unit 530 as shown in fig. 15 according to the input of the input unit 520. At this time, the workers a and B are assigned to perform works 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 of the sewing machine 200, a sewing machine type, a worker name, and a position of the sewing machine 200 assigned to each worker, and display production information including a work amount (work count), a sewing machine working time (cycle), an average sewing time (work time), and the like, by confirming the production information according to the detailed process.
In addition, the control part 550 can display production information of all processes (Line1, Line 2, … Line N) of the product produced in the sewing factory on the display part 530 as shown in fig. 16 according to the input of the input part 520. As shown in fig. 15, the control unit 550 may calculate and display the work quantity (work count), the sewing machine working time (cycle), and the average sewing time (work ti me) according to the process number confirmed by the worker. For example, if the a and B workers are assigned to the work at the first process (Line1), the control part 550 calculates an average value of the production information of the a and B workers, and may display the production information of the first process (Line1) from the calculated average value as shown in fig. 16.
The embodiments of the present invention disclosed in the present specification and drawings are only specific examples provided for easy explanation of technical contents of the present invention and to facilitate understanding of the present invention, and do not limit the scope of the present invention. Therefore, the scope of the present invention should be construed as being included in the scope of the present invention in all modifications and modified forms derived from the technical idea of the present invention except for the embodiments disclosed herein.

Claims (18)

1. A production management method, characterized by comprising the steps of:
acquiring sensing data of a repetitive motion sensed by a sensor part attached to at least a part of a sewing machine which performs the repetitive motion during sewing work;
generating working information based on the sensing data;
if a production information request signal related to the sewing work is received, displaying production information confirmed based on the work information; and
and if the quality information request signal of the sewing work is received, displaying the quality information confirmed based on the work information.
2. The production management method according to claim 1,
the step of acquiring the sensing data comprises the following steps: receiving sensing data of the repetitive operation acquired by the sensor part attached to one of a needle bar, a thread take-up lever, a transfer part and a pulley of the sewing machine.
3. The production management method according to claim 2,
the step of generating the working information comprises the steps of:
generating needle-up stop sum data in which a needle of the sewing machine stops at an up position based on the sensing data;
generating total stop sum data of the needle stop based on the sensing data; and
sequence data is generated based on the sensed data.
4. The production management method according to claim 3,
the step of displaying the production information comprises the steps of:
deriving a repetitive pattern by analyzing the sequential data; and
and confirming the working process in which the sewing machine is working according to the repetitive pattern, the configuration information of the sewing machine, the process information of a plurality of processes in the sewing work and the comparison result of the repetitive pattern.
5. The production management method according to claim 4,
the step of displaying the production information comprises the steps of:
confirming the working amount of the sewing machine by using the repeating pattern.
6. The production management method according to claim 5,
the step of displaying the production information comprises the steps of:
and confirming the production information of the working procedures configuring the sewing machine by using the working quantity, the working time of the sewing machine and the average sewing time.
7. The production management method according to claim 6,
the step of displaying the production information comprises the steps of:
and calculating an average value after summarizing the production information of the working procedures according to the procedures, and confirming all the production information of the sewing work.
8. The production management method according to claim 3,
the step of displaying the quality information comprises the steps of:
comparing the number of sewing stitches of the sewing machine with the stored target number of stitches, and confirming the uniformity of the number of sewing stitches; and
and confirming the failure rate based on the uniformity.
9. The production management method according to claim 8,
the step of displaying the quality information comprises the steps of:
generating comparison object data based on the working information, wherein the comparison object data comprises 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 sewing stitches, the width of the sewing stitches and the sewing quality;
calling out the stored reference data; and
and comparing the comparison object data with the reference data, and confirming the ability value of the worker based on the consistency rate.
10. A production management electronic device, comprising:
a communication part for acquiring sensing data of the repeated action sensed by one sensor part attached to at least one part of the sewing machine which generates the repeated action during the sewing work;
a control unit for generating work information based on the sensing data and confirming production information and quality information based on the work information; and
and a display unit for displaying the production information and the quality information.
11. The production management electronic device according to claim 10,
the communication part receives the sensing data of the repeated action acquired by the sensor part, and the sensor is attached to one of a needle bar, a thread take-up lever, a transmission part and a pulley of the sewing machine.
12. The production management electronic device according to claim 11,
the control unit generates operation information including needle-up stop total data in which a needle of the sewing machine stops at an up-up position, total stop total data in which the needle stops, and sequence data, based on the sensing data.
13. The production management electronic device according to claim 12,
the control unit analyzes the sequence data to derive a repeat pattern, and confirms a working process in which the sewing machine is working, using the repeat pattern, the arrangement information of the sewing machine, the process information of the plurality of processes in the sewing work, and a comparison result of the repeat pattern.
14. The production management electronic device of claim 13,
the control part confirms the working amount of the sewing machine by using the repeating mode.
15. The production management electronic device of claim 14,
the control unit confirms production information of the work processes configuring the sewing machine using the number of works, the work time of the sewing machine, and the average sewing time.
16. The production management electronic device of claim 15,
the control unit collects production information of the work processes according to the process, calculates an average value, and confirms production information of all the sewing operations.
17. The production management electronic device according to claim 12,
the control part is used for controlling the operation of the motor,
the number of sewing stitches of the sewing machine is confirmed, the stored target number of stitches is confirmed, and the failure 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 production management electronic device of claim 17,
the control part generates comparison target data based on the work information, the comparison target data comprises 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 sewing stitches, the width of the sewing stitches and the sewing quality, and the control part compares the stored reference data with the comparison target data and confirms the ability value of the worker based on the consistency ratio.
CN201980016939.8A 2019-11-26 2019-12-13 Production management method using sewing machine work information and electronic device Pending CN113179648A (en)

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