Sewing monitoring device and method

Abstract

A sewing monitoring device for monitoring an operational state of a sewing machine, according to one embodiment of the present invention, comprises: a receiving unit for receiving vibration information and pressure information from a sewing machine; an analysis unit for analyzing each of the vibration information and the pressure information in time series and determining a sewing state of the sewing machine on the basis of a preset reference value; and a database for storing the sewing state per time period.

Description

Sewing monitoring device and method

[0001] The present invention relates to a sewing monitoring device and method for monitoring operations performed on a plurality of sewing machines deployed in a clothing factory.

[0002] In garment factories, multiple sewing machines are deployed, and workers perform sewing tasks at each machine. The productivity of a garment factory depends significantly on the efficiency of the workers and the operating status of the sewing machines; accordingly, managers need to monitor worker efficiency to maximize process efficiency.

[0003] Traditionally, methods relying on manually written reports after work completion or visual observations by managers were primarily used to measure worker efficiency. However, this approach had limitations, including low data accuracy and reliability, as well as the inability to assess efficiency in real-time, making it difficult to take necessary measures in a timely manner. Consequently, problems such as decreased work efficiency and inefficient process layout and schedule adjustments frequently occurred.

[0004] In particular, existing methods that fail to immediately reflect changes in work efficiency over time—such as worker fatigue or shifts in the work environment—can lead to a decline in the overall productivity of the factory. Furthermore, the inability to monitor the operating status of sewing machines in real time can result in a failure to detect abnormal conditions or potential breakdowns in advance, potentially increasing machine repair and maintenance costs.

[0005] Furthermore, when multiple processes are carried out simultaneously in a garment factory, inefficient situations may arise where certain workers handle an excessive workload while others remain relatively idle. Therefore, it is necessary to monitor workers' work status in real time and, based on this, appropriately assign them to different processes or adjust their schedules.

[0006] To address these issues, there is a growing need for technology that can monitor the worker's work status and the sewing machine's operating status in real time to collect accurate data and make decisions based on it.

[0007] The present invention aims to provide a sewing monitoring device capable of improving the productivity of sewing operations by monitoring the worker's work efficiency and the operating status of the sewing machine in real time to solve the aforementioned problems.

[0008] The present invention aims to provide a sewing monitoring device that accurately determines the sewing status based on the vibration of the sewing machine and the pedal pressure data of the operator, and thereby reliably evaluates the operator's work status.

[0009] The present invention aims to provide a sewing monitoring device that can maximize process efficiency by identifying the worker's work status in real time and enabling appropriate process arrangement and work schedule adjustment.

[0010] The present invention aims to provide a sewing monitoring device capable of efficiently managing multiple sewing machines and reducing machine maintenance and operating costs by detecting idle states or abnormal operations of the sewing machines in advance.

[0011] However, the technical problems that the present invention aims to solve are not limited to the technical problems described above, and other technical problems may exist.

[0012] As a means to achieve the technical problem described above, one embodiment of the present invention may include a sewing monitoring device for monitoring the working status of a sewing machine, comprising: a receiving unit that receives vibration information and pressure information from a sewing machine; an analysis unit that analyzes the vibration information and the pressure information in a time series and determines the sewing status of the sewing machine based on a preset reference value; and a database that stores the sewing status by time period.

[0013] The above-described means for solving the problem are merely exemplary and should not be interpreted as intended to limit the invention. In addition to the exemplary embodiments described above, additional embodiments described in the drawings and the detailed description of the invention may exist.

[0014] According to any one of the means for solving the problem of the present invention described above, the worker's work efficiency and the operating status of the sewing machine can be reliably evaluated by analyzing the vibration information of the sewing machine and the pedal pressure information of the worker in real time. This can improve the efficiency of process management.

[0015] The present invention enables the analysis of a worker's work status by time period by monitoring the work status of a sewing machine in real time and storing it in a database, thereby allowing for work schedule adjustment and worker placement optimization.

[0016] The present invention can prevent machine failure in advance by detecting the idle or abnormal operating state of a sewing machine in real time, thereby reducing maintenance costs and maximizing productivity.

[0017] The present invention supports managers in easily grasping the production status of a factory by visually providing the working status of workers and the operating status of sewing machines, thereby increasing the efficiency and accuracy of production management.

[0018] The present invention provides the effect of objectively and in real-time monitoring of work conditions in a clothing factory, thereby resolving the imbalance in workload among workers and improving the productivity of the entire process.

[0019] FIG. 1 is a configuration diagram of a sewing monitoring system according to one embodiment of the present invention.

[0020] FIG. 2 is a block diagram showing the configuration of a sewing monitoring device according to the present invention.

[0021] FIG. 3 is a configuration diagram of a sewing monitoring device according to an embodiment of the present invention.

[0022] FIG. 4 is a flowchart showing the operation process of a sewing monitoring device according to an embodiment of the present invention.

[0023] FIG. 5 is a flowchart of a sewing monitoring method according to one embodiment of the present invention.

[0024] Embodiments of the present invention are described below with reference to the attached drawings so that those skilled in the art can easily implement the invention. However, the present invention may be embodied in various different forms and is not limited to the embodiments described herein. Furthermore, in order to clearly explain the present invention in the drawings, parts unrelated to the explanation have been omitted, and similar parts throughout the specification are denoted by similar reference numerals.

[0025] Throughout the specification, when a part is described as being "connected" to another part, this includes not only cases where they are "directly connected" but also cases where they are "electrically connected" with other elements interposed between them. Furthermore, when a part is described as "including" a component, this means that, unless specifically stated otherwise, it does not exclude other components but may include additional components, and it should be understood that this does not preclude the existence or addition of one or more other features, numbers, steps, actions, components, parts, or combinations thereof.

[0026] In this specification, the term "part" includes a unit realized by hardware, a unit realized by software, and a unit realized using both. Additionally, one unit may be realized using two or more hardware, and two or more units may be realized by one hardware.

[0027] Some of the operations or functions described in this specification as being performed by a terminal or device may instead be performed by a server connected to said terminal or device. Likewise, some of the operations or functions described as being performed by a server may also be performed by a terminal or device connected to said server.

[0028] The functions realized by the components described herein may be realized in a general-purpose processor, a specific-purpose processor, an integrated circuit, an Application Specific Integrated Circuit (ASIC), a Central Processing Unit (CPU), a circuit, and / or a combination thereof, which are programmed to realize the described functions. A processor may include transistors or other circuits and is considered to be a circuit or a processing circuit. A processor may be a programmed processor that executes a program stored in memory.

[0029] In this specification, circuits, parts, units, and means are hardware programmed to perform or execute the described functions. Such hardware may be any hardware disclosed in this specification or any hardware known to be programmed or execute the described functions.

[0030] If the hardware is a processor considered to be a circuit type, the circuit, the part, means, or unit is a combination of the hardware and the software used to constitute the hardware and / or processor.

[0031] An embodiment of the present invention will be described in detail below with reference to the attached drawings.

[0032] FIG. 1 is a configuration diagram of a sewing monitoring system according to one embodiment of the present invention.

[0033] Referring to FIG. 1, the sewing monitoring system may include a plurality of sewing machines (100) and sewing monitoring devices (200).

[0034] The sewing machine (100) and the sewing monitoring device (200) of FIG. 1 are generally connected via a network. For example, as shown in FIG. 1, the sewing machine (100) and the sewing monitoring device (200) can be connected simultaneously or at time intervals.

[0035] A network refers to a connection structure capable of exchanging information among respective nodes, such as terminals and servers, and includes local area networks (LAN), wide area networks (WAN), the internet (WWW: World Wide Web), wired and wireless data communication networks, telephone networks, wired and wireless television communication networks, etc. Examples of wireless data communication networks include, but are not limited to, 3G, 4G, 5G, 3GPP (3rd Generation Partnership Project), LTE (Long Term Evolution), WIMAX (World Interoperability for Microwave Access), Wi-Fi, Bluetooth communication, infrared communication, ultrasonic communication, visible light communication (VLC), and LiFi.

[0036] A sewing machine (100) is a mechanical device used for manufacturing clothing or other textile products, and generally refers to a device that connects two or more fabrics using thread or performs sewing in a specific pattern. The sewing machine in the present invention has mechanical characteristics that generate vibration during the work process, and such vibration is utilized as important data to determine the operating state of the sewing machine. Examples of sewing machines may include a sewing machine that performs straight sewing, an overlock machine that performs overlock sewing, etc.

[0037] Furthermore, a worker refers to a person who performs the task of manufacturing clothing or textile products by operating a sewing machine. In this invention, the worker primarily performs sewing operations by operating the pedals of the sewing machine, and the operating intensity (pressure) of these pedals is utilized as data to determine the worker's working status. Examples of workers may include technicians who perform sewing work manually in clothing factories, and designers who create creative designs using sewing machines in small-scale workshops.

[0038] FIG. 2 is a block diagram showing the configuration of a sewing monitoring device (200) according to the present invention.

[0039] The sewing machine (100) may include a vibration sensor (110) and a pressure sensor (120). The vibration sensor (110) may be attached to a specific location on a table where the sewing machine is installed, or directly attached to the sewing machine. This allows for the detection of vibrations of the table or vibrations of the sewing machine itself that occur when the sewing machine is in operation. Generally, the vibration sensor measures the magnitude and direction of vibrations using an accelerometer and provides the sensed data as basic data for determining the operating status of the sewing machine. Information detected from the vibration sensor (110) can be generated as vibration information and transmitted to a sewing monitoring device (200).

[0040] A pressure sensor (120) is connected to a pedal used by a worker when performing sewing work. The pressure sensor can detect in real time the pressure applied by the worker to the pedal through their foot or other body parts. Typically, the pressure sensor converts the force applied to the pedal into an electrical signal by utilizing a strain gauge (a strain gauge-based deformation measurement technique) or a piezoelectric element. This data is used as important information for analyzing the worker's work intensity and pattern. The information detected from the pressure sensor (120) can be generated as pressure information and transmitted to a sewing monitoring device (200).

[0041] A signal device (300) may be configured near the sewing machine (100). The signal device (300) outputs a notification signal through a preset color or flashing pattern based on an alarm signal generated by the sewing monitoring device (200). For example, if the signal device is green, it indicates a normal working state, and if it flashes red, it indicates an abnormal state. This visual notification helps the manager intuitively monitor the working status of the workers on-site without having to check the data displayed on the display.

[0042] The signal device (300) may be directly attached to the sewing machine or installed at a location within a certain radius of the sewing machine, and may include a lighting device such as an LED to provide a visual notification signal. This allows the manager in the workplace to monitor the work status in real time and take immediate action.

[0043] In addition, the sewing monitoring device (200) exchanges data with the sewing machine (100) and the signal device (300) via a network, and analyzes the working status of the sewing machine based on data collected from the vibration sensor (110) and the pressure sensor (120). This maximizes production efficiency and provides convenience in management.

[0044] FIG. 3 is a configuration diagram of a sewing monitoring device (200) according to an embodiment of the present invention.

[0045] Referring to FIG. 3, the sewing monitoring device (200) may include a receiving unit (210) that receives vibration information and pressure information from a sewing machine (100), an analysis unit (220) that analyzes the vibration information and the pressure information in a time series and determines the sewing state of the sewing machine based on a preset reference value, and a database (230) that stores the sewing state by time period.

[0046] Here, the receiving unit (210) can receive vibration information from vibration sensors provided for each of the plurality of sewing machines (100) and pressure information from pressure sensors provided for each of the plurality of sewing machines.

[0047] The vibration sensor can generate vibration information by sensing the working vibration of the sewing machine. And the pressure sensor can generate pressure information by sensing the pressure applied to the working pedal of the sewing machine (100).

[0048] And the analysis unit (220) may include a synchronization unit (210) that measures the vibration information and the pressure information at preset time intervals and performs time synchronization of the vibration information and the pressure information, and a derivation unit (222) that derives an effective value per hour from the vibration information and derives a peak value per hour from the pressure information.

[0049] Here, the derivation unit (222) can set the maximum value of the above effective value and the above peak value, and set the first and second threshold effective values ​​and the first and second threshold peak values ​​based on the above maximum value.

[0050] And the analysis unit (220) may include a judgment unit (223) that determines the sewing state of the sewing machine to be active when the effective value reaches the first critical effective value and the peak value reaches the first critical peak value.

[0051] The judgment unit (223) can determine that the sewing state of the sewing machine is idle when the sewing state is active, the effective value reaches the second threshold effective value, and the peak value reaches the second threshold peak value.

[0052] Here, the derivation unit (222) can be set so that the first threshold peak value is greater than the second threshold peak value and the first threshold effective value is greater than the second threshold effective value.

[0053] And the sewing monitoring device (200) may include a notification generating unit (240) that generates a notification signal when the sewing machine (100) is switched to the idle state or the active state more than a preset number of times, or when the sewing machine is maintained in the idle state or the active state for more than a preset time.

[0054] Here, the notification signal is transmitted to a signal device (300) provided for each sewing machine, and the signal device (300) can output the notification signal with a preset color or flashing pattern.

[0055] And the sewing monitoring device (200) may further include a display unit (240) that displays the sewing status for each of the multiple sewing machines to the user of the sewing monitoring device.

[0056] FIG. 4 is a flowchart showing the operation process of a sewing monitoring device according to an embodiment of the present invention.

[0057] In step (S401), the receiver (210) of the sewing monitoring device (200) receives vibration information and pressure information from the sewing machine. Here, the vibration information includes vibration data generated during the operation of the sewing machine, and the pressure information includes pressure data applied by the operator to the pedal during the sewing operation. The data received in this step is raw data and is used for analysis and processing in subsequent steps.

[0058] In step (S402), the synchronization unit (221) of the sewing monitoring device (200) measures vibration information and pressure information at preset time intervals (e.g., 0.5 seconds) and performs time synchronization between the vibration information and the pressure information. Time synchronization is a process of aligning data so that vibration data and pressure data can be compared and analyzed on the same time axis. Through this, the relationship between the operator's pedal operation and the sewing machine's operation vibration can be accurately identified.

[0059] In step (S403), the derivation unit (222) of the sewing monitoring device (200) derives the Root Mean Square (RMS) value over time from the synchronized vibration information and derives the Peak value over time from the pressure information. The RMS value represents the energy of the vibration signal and is an important indicator for evaluating the operating status of the sewing machine. The Peak value represents the maximum value in the pressure signal and is useful for analyzing the intensity and pattern of the operator's pedal operation.

[0060] In step (S403), vibration and pressure information can be analyzed based on multiple data points per second (e.g., 20 per second) in each module, and effective values ​​and peak values ​​can be derived. The vibration and pressure information are used to determine the operating status of the sewing machine in subsequent steps.

[0061] Below, the process of deriving the effective value and peak value is explained in more detail.

[0062] The vibration information used in the present invention includes numerical data measured from vibrations occurring during the operation of a sewing machine, and generally consists of data in the form of a continuous signal that changes over time. This data is acquired through a vibration sensor (e.g., an accelerometer) and provides values ​​for the magnitude and direction of the vibration at each sampling period (e.g., 20 times per second). For example, the vibration information may consist of numerical data representing the magnitude of acceleration occurring on the table surface of the sewing machine.

[0063] Pressure information includes pressure data measured from the pressure generated while the operator operates the pedal, and is obtained through a strain gauge or a piezoelectric-based sensor. This data represents the intensity of the operator's pedal operation that changes over time and is analyzed based on multiple sampling data per second. For example, it can be measured in Newtons (N), which represent the magnitude of the force applied by the operator to the pedal.

[0064] The derivation unit (222) can apply the following formula based on vibration data x(i) sampled for a certain period of time (e.g., 0.5 seconds) to calculate the Root Mean Square (RMS) value over time from the vibration information.

[0065] <Formula 1>

[0066]

[0067] In the above formula, x(i) is the i-th vibration data sample, and represents the average value of the vibration data, and N can represent the number of sampled data.

[0068] Through <Equation 1>, the RMS value represents the vibration energy during the corresponding time interval and can be used as an important indicator to evaluate the operating status of the sewing machine. For example, a high RMS value may indicate that the sewing machine is likely operating in an active state.

[0069] To calculate the time-dependent peak value from the pressure information, the following formula is applied based on pressure data y(i) sampled over a certain period of time (e.g., 0.5 seconds):

[0070] <Equation 2>

[0071]

[0072] In <Equation 2>, max(y(t)) represents the maximum value of pressure data within a time interval, and m(y(t)) represents the median value of pressure data.

[0073] In <Equation 2>, the peak value represents the maximum intensity of the pressure applied by the operator to the pedal and can be used to evaluate the operator's work intensity and pattern. For example, if the peak value is above a certain threshold, it may indicate that the operator is continuously operating the pedal with strong force.

[0074] Step (S404) is a step in which the derivation unit (222) sets the maximum values ​​of the RMS value and the peak value, and sets the first and second threshold RMS values ​​and the first and second threshold peak values ​​based on the maximum values. In this step, the derivation unit (222) can generate threshold values ​​by multiplying the maximum value by a specific ratio. For example, 0.6 times the generated RMS maximum value can be set as the first threshold RMS value and 0.4 times as the second threshold RMS value, and 0.7 times the generated Peak maximum value can be set as the first threshold peak value and 0.3 times as the second threshold peak value. These settings are used as reference values ​​to determine whether the sewing state of the sewing machine is active or idle. Here, the first threshold peak value is set to be greater than the second threshold peak value, and the first threshold RMS value is set to have a value greater than the second threshold RMS value.

[0075] Step (S405) is a step in which the judgment unit (223) checks whether the effective value has reached the first threshold effective value and whether the peak value has reached the first threshold peak value. This step is a process of checking the first condition for determining the working state of the sewing machine.

[0076] Step (S406) is a step in which the judgment unit (223) determines the sewing state of the sewing machine to be idle if the effective value does not reach the first threshold effective value or if the peak value does not reach the first threshold peak value. An idle state indicates that the sewing machine is not operating actively or that the operator is not properly operating the pedal.

[0077] Step (S407) is a step in which the judgment unit (223) determines the sewing state of the sewing machine to be active when the effective value reaches the first threshold effective value and the peak value reaches the first threshold peak value. An active state indicates that the sewing machine is operating normally and the operator is actively working.

[0078] Step (S408) is a step in which the judgment unit (223) determines whether the RMS value has reached the second threshold RMS value and whether the peak value has reached the second threshold peak value when the sewing state is active. This step is a process of checking the conditions for switching from an active state to an idle state.

[0079] In steps (S409) and (S410), when the judgment unit (223) determines that the effective value reaches the second threshold effective value and the peak value reaches the second threshold peak value, the sewing state of the sewing machine may terminate the active state and switch to an idle state. The switching of the sewing state from an active state to an idle state indicates that the work intensity is reduced or the sewing operation is terminated and switched to an idle state.

[0080] Step (S411) is a step in which the judgment unit (223) maintains the sewing state of the sewing machine in an active state if the effective value does not reach the second threshold effective value or if the peak value does not reach the second threshold peak value. This step indicates that the operation in the active state is being continued.

[0081] The database (230) can store the sewing status and related data of the sewing machine within the sewing monitoring device (200). The database (230) stores data such as vibration information and pressure information received in real time, analyzed sewing status (e.g., active state, idle state), working time, and production volume by time period.

[0082] Data stored in the database (230) can be visually checked by an administrator through the display unit (250) and can be used for various purposes, such as analyzing work efficiency based on past data, diagnosing the condition of sewing machines, and optimizing processes. In addition, the database can be linked with a cloud server to store data for the long term or to manage data collected from multiple factories in an integrated manner.

[0083] The notification generation unit (240) can generate a notification signal based on the sewing status of the sewing machine. The notification generation unit (240) generates a notification signal when specific conditions are met, based on the result of the judgment unit (223) determining the sewing status of the sewing machine as idle or active. For example, a notification signal may be generated if the sewing machine is repeatedly switched between the idle and active states more than a preset number of times, or if the sewing machine is maintained in the idle or active state for more than a preset time. Here, the preset number of times or time values ​​can be adjusted according to the factory's operating environment or work characteristics.

[0084] The generated notification signal is transmitted to a signal device (300) equipped for each sewing machine (100). The signal device (300) can visually output the operation status in a preset color (e.g., green, red) or flashing pattern according to the notification signal. Through this, the manager can monitor the operation status of the sewing machine in real time, intuitively check the operation status on-site, and take appropriate action.

[0085] The display unit (250) can visually provide the sewing status for each of the multiple sewing machines (100) to the user of the sewing monitoring device (200). The display unit (250) can display vibration information and pressure information of the sewing machines, analyzed sewing status (e.g., active state, idle state), and statistical data related to the efficiency of the sewing operation in real time.

[0086] The display unit (250) can intuitively display the operation status of each sewing machine through a user-friendly graphical user interface (GUI). For example, it can display the active and idle states of each sewing machine on a time axis or provide a graph indicating the efficiency of the sewing operation. In addition, it displays information such as production volume per worker, operating and non-operating times of the sewing machine, and a history of notification signals, so that a manager can easily grasp the overall process status.

[0087] Such a display unit (250) supports a process manager in efficiently managing multiple sewing machines and comprehensively evaluating the worker's work status and the sewing machine's operating status. In particular, by providing sewing machine status information and statistical data in real time, it increases process efficiency and enables prompt action in the event of a problem.

[0088] FIG. 5 is a flowchart of a sewing monitoring method according to one embodiment of the present invention.

[0089] The method illustrated in FIG. 5 includes steps processed chronologically according to the embodiments illustrated in FIG. 1 to 4. Accordingly, the omitted content below may be referred to as a method by the device according to the embodiments illustrated in FIG. 1 to 4.

[0090] Referring to FIG. 5, the sewing monitoring method may include the step of receiving vibration information and pressure information from a sewing machine (S10), the step of analyzing the vibration information and the pressure information in a time series and determining the sewing state of the sewing machine based on a preset reference value (S20), and the step of storing the sewing state by time period (S30).

[0091] The above-described method may also be implemented in the form of a recording medium containing a computer program stored on a computer-readable recording medium that is executed by a computer, or instructions executable by a computer. Additionally, the above-described method may also be implemented in the form of a computer program stored on a computer-readable recording medium that is executed by a computer.

[0092] A computer-readable recording medium may be any available medium accessible by a computer and includes both volatile and non-volatile media, and both removable and inremovable media. Additionally, a computer-readable recording medium may include a computer storage medium. A computer storage medium includes both volatile and non-volatile, removable and inremovable media implemented by any method or technique for storing information such as computer-readable instructions, data structures, program modules, or other data.

[0093] The above method may be further divided into additional steps or combined into fewer steps through the embodiments described above with reference to FIGS. 1 to 4. Additionally, some steps may be omitted as necessary, and the order between steps may be switched.

[0094] The foregoing description of the present invention is for illustrative purposes only, and those skilled in the art will understand that other specific forms can be easily modified without altering the technical spirit or essential features of the present invention. Therefore, the embodiments described above should be understood as illustrative in all respects and not restrictive. For example, each component described as a single unit may be implemented in a distributed manner, and components described as distributed may likewise be implemented in a combined form.

[0095] The scope of the present invention is defined by the claims set forth below rather than by the detailed description above, and all modifications or variations derived from the meaning and scope of the claims and equivalent concepts thereof should be interpreted as being included within the scope of the present invention.

[0096] A sewing monitoring device for monitoring the working status of a sewing machine, comprising: a receiving unit for receiving vibration information and pressure information from a sewing machine; an analysis unit for analyzing the vibration information and the pressure information in a time series, respectively, and determining the sewing status of the sewing machine based on a preset reference value; and a database for storing the sewing status by time period.

Claims

1. A sewing monitoring device for monitoring the working status of a sewing machine, A receiver that receives vibration information and pressure information from a sewing machine; An analysis unit that analyzes the vibration information and the pressure information in a time series, respectively, and determines the sewing state of the sewing machine based on preset reference values; and A device comprising: a database that stores the above sewing status by time period.

2. In Paragraph 1, The above receiving unit The vibration information from the vibration sensor provided for each of the multiple sewing machines A device that receives pressure information from pressure sensors each provided for a plurality of sewing machines.

3. In Paragraph 2, A device in which the above vibration sensor senses the working vibration of the sewing machine and generates the vibration information.

4. In Paragraph 2, The above pressure sensor is A device that senses pressure applied to the work pedal of the sewing machine and generates pressure information.

5. In Paragraph 1, The above analysis unit A device comprising: a synchronization unit that measures the vibration information and the pressure information at preset time intervals and performs time synchronization of the vibration information and the pressure information.

6. In Paragraph 1, The above analysis unit A device comprising: a derivation unit that derives an effective value over time from the above vibration information and derives a peak value over time from the above pressure information.

7. In Paragraph 6, The above derivation part A device for setting the maximum values ​​of the above effective value and the above peak value, and setting the first and second critical effective values ​​and the first and second critical peak values ​​based on the above maximum value.

8. In Paragraph 7, The above analysis unit A device comprising: a determination unit that determines the sewing state of the sewing machine to be active when the above effective value reaches the above first critical effective value and the above peak value reaches the above first critical peak value.

9. In Paragraph 8, The above judgment unit A device that determines the sewing state of the sewing machine to be idle when the sewing state is active, and the effective value reaches the second threshold effective value and the peak value reaches the second threshold peak value.

10. In Paragraph 7, The above-described derivation unit is configured such that the first threshold peak value is greater than the second threshold peak value and the first threshold effective value is greater than the second threshold effective value.

11. In Paragraph 8, The notification generating unit that generates a notification signal when the sewing machine is switched to the idle state or the active state more than a preset number of times, or when the sewing machine is maintained in the idle state or the active state for more than a preset time; further comprising The above notification signal is transmitted to a signal device equipped for each sewing machine, and A device that outputs the notification signal with a preset color or flashing pattern.

12. In Paragraph 1, A device further comprising: a display unit that displays the sewing status for each of the plurality of sewing machines to a user of the sewing monitoring device.

13. In a method for monitoring sewing using a sewing monitoring device, A step of receiving vibration information and pressure information from a sewing machine; A step of analyzing the vibration information and the pressure information in a time series, respectively, and determining the sewing state of the sewing machine based on preset reference values; A method comprising the step of storing the above sewing state by time period.

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