Smart jig for implementing super connection manufacturing platform and component processing monitoring system using same

Abstract

According to the present invention, disclosed are a smart jig for a smart factory, a processing system having same, and a method therefor. The smart jig according to the present invention comprises: a jig plate supporting a workpiece; at least one fixing part located on the jig plate and fixing the workpiece; at least one sensor part which is located on the jig plate and electrically measures the workpiece fixed by the fixing part; a fixing movement part which moves the fixing part along X, Y, and Z axes; and a sensor moving part which moves the sensor part along X, Y, and Z axes, wherein at least one of the fixing movement part and the sensor moving part is controlled when a measurement signal measured by the sensor part is determined to be an abnormal signal.

Description

Smart Jig for Realizing a Hyper-Connected Manufacturing Platform and a Part Machining Process Monitoring System Using the Same

[0001] The present invention relates to a smart jig capable of monitoring and controlling process conditions based on a measurement signal from a sensor unit equipped in a smart jig for a smart factory, and a part processing process monitoring system using the same.

[0002] As industrial technology and manufacturing processes advance, the production of finished products can be carried out through specialized manufacturing platforms. The process is becoming standardized, involving stages such as designing numerous necessary components and selecting materials and processes, selecting specialized manufacturers and calculating costs, producing the actual components, and finally, receiving finished products assembled from standardized modules.

[0003] In the manufacturing process of such products, workpieces are mounted on production jigs of machining equipment for precise processing. Generally, computer numerical control (CNC) machines are devices that automatically determine the tool position based on machining conditions such as input values, shape, and tool feed rate, and automatically process the workpiece by moving the tool along the input coordinates. As such, they are widely used in various fields due to their advantages in factory automation and mass production of workpieces.

[0004] Such machining equipment is largely composed of a bed, a table installed on the upper part of the bed on which a workpiece is placed, a column mounted vertically and horizontally at the rear of the bed, and a spindle mounted on the column. The machining equipment may be configured to machine a workpiece placed on the table while moving in horizontal and vertical directions with a cutting tool installed on the spindle. At this time, it is important to perform the process after accurately mounting the workpiece on a production jig, and conventional general jigs are as follows.

[0005] Figure 1 is a simplified configuration diagram of a jig provided in a conventional processing device.

[0006] Referring to FIG. 1, a jig (10) of a conventional processing equipment (not shown) may be configured to include a jig plate (11), a force sensor (12), and a sensor part (13).

[0007] More specifically, first, the jig plate (11) is installed on the upper part of the bed (not shown) of the processing equipment and can perform the function of supporting the workpiece (not shown) on which the workpiece to be processed is placed.

[0008] Next, the force sensor (12) can perform the function of measuring the force of a workpiece to be processed on the jig plate (11) while it is coupled to the jig plate (11). Such a force sensor (12) can be divided into methods such as converting force into an electric quantity, using the deformation of an elastic body as a primary conversion element, and balancing the quantity to be measured with a force of a known magnitude. In the method using the deformation of an elastic body, there are methods such as detecting the amount of deformation itself, using physical effects caused by deformation, and using changes in frequency caused by deformation.

[0009] Next, the sensor unit (13) can perform the function of measuring the state in which the workpiece is combined and fixed on the jig plate (11) as an electrical signal.

[0010] The sensor unit (13) above can continuously pre-clamp magnetic current through the magnetic field of a permanently installed permanent magnet, and when a ferromagnetic material object penetrates the magnetic field, the electric field strength is affected, which can cause a voltage change in the semiconductor element, and the sinusoidal voltage generated as a result can be converted into an electrical signal and amplified by an internal electronic device.

[0011] However, since this conventional jig (10) requires both a force sensor (12) and a sensor unit (13), the sensors are installed redundantly, which can result in wasteful elements in terms of cost and control process. In particular, the sensor unit (13) is a simple fixed array that assists the measurement results of the force sensor (12), and is limited to a passive component function that is merely an auxiliary measurement means.

[0012] Accordingly, the present invention aims to solve the various problems of the conventional technology described above, and has the purpose of monitoring the process status based on measurement signals from one or more sensor units equipped in a smart jig without a separate force sensor, and controlling the fixing unit and sensor unit of the smart jig by determining whether there is an abnormal signal.

[0013] In addition, the present invention has another purpose of forming a pair by matching the fixed part and the sensor part in a 1:1 ratio, and arranging the sensor parts in an asymmetrical number facing each other.

[0014] In addition, the present invention has another objective of arranging a pair of reference sensor parts and a reference fixing part that serve as reference points, and arranging a pair or multiple pairs of auxiliary sensor parts and auxiliary fixing parts that serve as auxiliary parts.

[0015] In addition, the present invention has another objective of collecting a measurement signal measured from a sensor unit of a smart jig on a communication network, transmitting recommendation information to a user terminal device through a server, and reflecting a value calculated from the server into the setting value according to an environment setting based on the recommendation information from the user terminal device.

[0016] A smart jig according to the present invention comprises: a jig plate on which a workpiece is supported; at least one fixing part located on the jig plate and fixing the workpiece; at least one sensor part located on the jig plate and electrically measuring the workpiece fixed by the fixing part; a fixed moving part that moves the fixing part along the X, Y, and Z axes; and a sensor moving part that moves the sensor part along the X, Y, and Z axes, wherein when a measurement signal measured by the sensor part is determined to be an abnormal signal, at least one of the fixed moving part and the sensor moving part is controlled.

[0017] The measurement signal measured by the sensor unit according to the present invention is determined to be an abnormal signal if it is greater than or equal to a set value in the initial measurement signal measured before the processing process of the workpiece, and the set value is characterized by being greater than the RMS (Root Mean Square, effective value) of the voltage value of the initial measurement signal.

[0018] The present invention is characterized by controlling only the fixed moving part when the measurement signal is a voltage value RMS (effective value) greater than the initial measurement signal and less than the abnormal signal, and controlling the fixed moving part first and then controlling the sensor moving part second when the measurement signal is a voltage value RMS (effective value) greater than the abnormal signal.

[0019] The fixed part and the sensor part according to the present invention are matched 1:1 with each other to form a pair, and the sensor part is characterized by being arranged in an asymmetrical number facing each other.

[0020] The reference sensor part among the sensor parts according to the present invention is positioned on the upper part of the jig plate so as to be in contact with one side of the workpiece, and the reference fixing part among the fixing parts is positioned on the upper part of the jig plate so as to be in contact with another side perpendicular to one side of the workpiece, thereby forming a pair of reference sensor parts and reference fixing parts.

[0021] According to the present invention, at least one auxiliary sensor part among the sensor parts is positioned on the upper part of the jig plate so as to be in contact with one side of the workpiece, and at least one auxiliary fixing part among the fixing parts is positioned on the upper part of the jig plate so as to be in contact with one side of the workpiece, thereby forming at least one pair of auxiliary sensor parts and auxiliary fixing parts.

[0022] A part processing monitoring system using a smart jig according to the present invention comprises: a smart jig; a monitoring unit that collects a measurement signal measured from a sensor unit of the smart jig and determines whether there is an abnormal signal, wherein the monitoring unit determines whether there is an abnormal signal using the voltage value RMS (Root Mean Square, RMS value) of an initial measurement signal measured before the processing process of a workpiece and an abnormal signal setting value greater than that; a fixed control unit that controls a fixed moving unit when, according to the determination of the monitoring unit, the measurement signal is greater than or equal to the initial measurement signal voltage value RMS (RMS value) or less than the abnormal signal setting value; and a sensor control unit that controls a sensor moving unit when, according to the determination of the monitoring unit, the measurement signal is greater than or equal to the abnormal signal setting value, wherein the fixed control unit and the sensor control unit first control the fixed moving unit when the measurement signal is greater than or equal to the voltage value RMS (RMS value) of the abnormal signal and subsequently secondarily control the sensor moving unit.

[0023] The fixed part and the sensor part according to the present invention are matched 1:1 with each other to form a pair, and the sensor part is characterized by being arranged in an asymmetrical number facing each other.

[0024] The reference sensor part among the sensor parts according to the present invention is positioned on the upper part of the jig plate so as to be in contact with one side of the workpiece, and the reference fixing part among the fixing parts is positioned on the upper part of the jig plate so as to be in contact with another side perpendicular to one side of the workpiece, thereby forming a pair of reference sensor parts and reference fixing parts.

[0025] According to the present invention, at least one auxiliary sensor part among the sensor parts is positioned on the upper part of the jig plate so as to be in contact with one side of the workpiece, and at least one auxiliary fixing part among the fixing parts is positioned on the upper part of the jig plate so as to be in contact with one side of the workpiece, thereby forming one pair or multiple pairs of auxiliary sensor parts and auxiliary fixing parts.

[0026] The part processing process monitoring system according to the present invention is characterized by further comprising: a communication unit that communicates with an external device; and a device management server comprising a server communication unit that transmits and receives data with the communication unit and a server control unit that determines whether to operate a part processing device equipped with a smart jig in which an abnormality has occurred, based on a result of determining whether an abnormality of the smart jig is determined from the monitoring unit.

[0027] The part processing process monitoring system according to the present invention further comprises a vibration sensor embedded in the smart jig to detect vibration intensity, and the monitoring unit collects the clamping force history and vibration intensity history of the smart jig for a part processing device in which an abnormality has occurred, extracts data directly related to the occurrence of the abnormality from the history using an artificial intelligence model, and determines whether the smart jig is abnormal by generating a new normal clamping force range and a normal vibration intensity range based on the extracted data.

[0028] The part processing process monitoring system according to the present invention further comprises a load cell embedded in the smart jig to detect pressure in a plurality of regions, and the monitoring unit stores a normal pressure range and a normal pressure distribution range for each region, and determines that there is an abnormality in the smart jig when the pressure detected by the load cell deviates from the range.

[0029] The server control unit of the device management server according to the present invention is characterized by controlling the driving speed of the part processing device or stopping the driving based on the degree to which at least one of the clamping force, vibration intensity, pressure by region, and pressure distribution of the smart jig for the part processing device deviates from the normal distribution range.

[0030] The monitoring unit according to the present invention is characterized by learning an abnormal occurrence pattern in an artificial intelligence model to predict an abnormal state that may occur in the future, and dynamically updating the normal range based on the predicted result.

[0031] The server control unit of the device management server according to the present invention is characterized by mutually comparing and analyzing the history of abnormal occurrences among a plurality of part processing devices to identify the cause of repetitive abnormal occurrences of a specific device or smart jig fixture.

[0032] The server control unit of the device management server according to the present invention is characterized by generating a control signal that automatically optimizes part processing conditions, including cutting speed, feed speed, and spindle rotation speed, based on the analysis results.

[0033] According to the present invention, the process status can be monitored based on measurement signals from one or more sensors equipped in a smart jig without a separate force sensor, and the machining process of a workpiece (workpiece) can be actively controlled by determining whether there is an abnormal signal and controlling the fixing part and the sensor part of the smart jig.

[0034] In addition, according to the present invention, the fixed part and the sensor part are arranged to form a pair by matching them in a 1:1 ratio, and the sensor part is arranged in an asymmetrical number facing each other so that the fixed part and the sensor part can be precisely controlled.

[0035] In addition, according to the present invention, a pair of reference sensor units serving as reference points and a reference fixing unit are arranged, and a pair or multiple pairs of auxiliary sensor units serving as auxiliary fixing units are arranged, thereby enabling more efficient smart jig control.

[0036] In addition, according to the present invention, a part processing process monitoring system using a smart jig capable of active control on a communication network can be implemented by collecting the measurement signal measured from the sensor part of the smart jig on a communication network, transmitting recommendation information to a user terminal device through a server, and reflecting the value calculated from the server into the setting value according to the environment setting based on the recommendation information from the user terminal device.

[0037] Figure 1 is a simplified configuration diagram of a jig provided in a conventional processing device.

[0038] FIG. 2 is a configuration diagram of a smart jig having a sensor unit according to an embodiment of the present invention.

[0039] FIG. 3 is a simplified drawing showing a processing system equipped with a smart jig according to one embodiment of the present invention.

[0040] FIG. 4 is a detailed drawing illustrating the internal configuration of a bed according to one embodiment of the present invention.

[0041] FIG. 5 is a graph showing the waveform of a measurement signal measured by a sensor unit according to one embodiment of the present invention.

[0042] FIG. 6 is a diagram showing the configuration of an overall system including a part processing process monitoring system equipped with a smart jig according to one embodiment of the present invention.

[0043] FIG. 7 is a flowchart between a component processing process monitoring system equipped with a smart jig according to one embodiment of the present invention and its components.

[0044] FIG. 8 is a control block diagram of a part processing process monitoring system including a part processing device, a monitoring device, and a device management server according to one embodiment of the present invention.

[0045] FIG. 9 is a block flowchart of the smart jig-based part machining process monitoring system of the present invention.

[0046] The following detailed description of the invention refers to the accompanying drawings, which illustrate specific embodiments in which the invention may be practiced. It should be understood that various embodiments of the invention are different but need not be mutually exclusive. For example, specific shapes, structures, and characteristics described herein may be implemented in other embodiments without departing from the spirit and scope of the invention in relation to one embodiment. It should also be understood that the location or arrangement of individual components within each disclosed embodiment may be changed without departing from the spirit and scope of the invention. Accordingly, the following detailed description is not intended to be limiting, and the scope of the invention is limited only by the appended claims, including all equivalents to those claimed therein, provided they are appropriately described. Similar reference numerals in the drawings refer to the same or similar functions across various aspects, and lengths, areas, thicknesses, etc., and shapes may be exaggerated for convenience.

[0047] Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the attached drawings in order to enable a person skilled in the art to easily practice the present invention.

[0048] [Examples of the present invention]

[0049] In the present specification, it is important to perform a machining process after accurately mounting a workpiece onto a production jig. In particular, in the present invention, the “production jig” is equipped with a sensor unit and can perform the function of a smart jig capable of accurate and precise control.

[0050] In this specification, the term “machining system” refers to a machining equipment capable of machining a workpiece using a separate cutting tool after mounting the workpiece on a SMART JIG. While any known machining equipment may be applied, for example, it comprehensively refers to a machining equipment capable of controlling the SMART JIG equipped with the SMART JIG according to the present invention, among equipment widely used in various fields as it is advantageous for factory automation and mass production of workpieces. This equipment is a computer numerical control (CNC) machine or similar device that automatically determines the position of the tool based on machining conditions such as machining values, shape, and tool feed rate input into a computer, and automatically processes the workpiece by moving the tool along the input coordinates.

[0051] Furthermore, in this specification, numbers used in the detailed description with reference to the drawings (e.g., first, second, etc.) are merely identification symbols to distinguish one component from another and do not limit the configuration or function.

[0052] [Composition of Smart Jig (110)]

[0053] FIG. 2 is a configuration diagram of a smart jig having a sensor unit according to an embodiment of the present invention.

[0054] Referring to FIG. 2, a smart jig (110) according to one embodiment of the present invention may be configured to include a jig plate (111), a fixing part (112), a sensor part (113), a fixed moving part (114), and a sensor moving part (115).

[0055] More specifically, first, the jig plate (111) is installed on the upper part of the bed (not shown) of the processing equipment (Fig. 3, 120) and can perform the function of supporting the workpiece (P, workpiece) to be processed, with the workpiece (P) placed in the upper central part. For example, such a jig plate (111) may be in the shape of a square plate made of metal, but the present invention is not limited thereto and may include various known materials and shapes.

[0056] Next, one or more of the fixing parts (112) are positioned at the upper edge of the jig plate (111) to perform the function of aligning the workpiece (P) and securing it by seating it on the jig plate (111).

[0057] Preferably, the fastening means having the same principle as a screw, the coupling means using a servo motor, the slide moving means, and the hydraulic means capable of fixing the workpiece (P) by adjusting the hydraulic pressure supplied to the jig according to the material of the workpiece (P) may be any one of these, but the present invention is not limited thereto, and known conventional fixing devices may be used without limitation. At this time, the fixing part (112) may be composed of a reference fixing part (112a) and an auxiliary fixing part (112b), and a more detailed explanation can be understood in the following sensor part (113).

[0058] Next, one or more sensor units (113) are located at the upper edge of the jig plate (111) and can perform the function of electrically measuring a workpiece (P) fixed by a fixing unit (112).

[0059] Preferably, the sensor unit (113) according to the present invention can continuously pre-clamp and flow a magnetic current by means of the magnetic field of a permanently installed permanent magnet, and when an object made of a ferromagnetic material penetrates the magnetic field, the electric field strength is affected, which can cause a voltage change in the semiconductor element, and the sinusoidal voltage generated therefrom can be converted into an electrical signal and amplified by an internal electronic device.

[0060] At this time, the sensor unit (113) according to the present invention can monitor the workpiece (P) by measuring an electrical signal arranged at the edge of the jig plate (111) without a separate force sensor. The measurement signal measured by one or more sensor units (113) is determined to be an abnormal signal if it is greater than or equal to a set value in the initial measurement signal measured before the processing process of the workpiece (P). The set value may be greater than the RMS (Root Mean Square, RMS value) of the voltage of the initial measurement signal. For example, when the RMS of the voltage of the initial measurement signal is 2V, the set value is 4. If the measurement signal measured by one or more sensor units (113) is 3V, it can be determined not to be an abnormal signal because it is greater than the initial measurement signal but less than the set value. On the other hand, if the measurement signal is 4V, it is greater than the initial measurement signal and greater than the set value, so it can be determined to be an abnormal signal. As another example, the voltage value RMS of the measurement signal may be set to a limit of 100N by assigning a fixed value to the measurement signal, and if it is 100N or higher, it may be determined as an abnormal signal.

[0061] Additionally, the sensor unit (113) may be divided into a reference sensor unit (113a) and an auxiliary sensor unit (113b). One of the reference sensor units (113a) may be positioned on the upper part of the jig plate (111) so as to be in contact with one side of the workpiece (P), and the reference fixing unit (112a) of the fixing unit (112) may be positioned on the upper part of the jig plate (111) so as to be in contact with another side perpendicular to one side of the workpiece (P), thereby forming a pair of reference sensor units (113a) and reference fixing units (112a).

[0062] Accordingly, a reference point of the workpiece (P) fixed on the upper part of the jig plate (111) can be determined through a pair of reference sensor units (113a) and reference fixing units (112a). That is, the process status according to the present invention (whether it is stably fixed, whether the fixation is maintained during processing, etc.) can be monitored based on the measurement signal measured by the reference sensor unit (113a) which is fixed based on the reference fixing unit (112a), and the processing process of the workpiece (P, workpiece) can be actively controlled by determining whether there is an abnormal signal.

[0063] Additionally, one or more auxiliary sensor parts (113b) among the sensor parts (113) may be positioned on the upper part of the jig plate (111) so as to be in contact with one side of the workpiece (P), and one or more auxiliary fixing parts (112b) among the fixing parts (112) may also be positioned on the upper part of the jig plate (111) so as to be in contact with one side of the workpiece (P), thereby forming one or more pairs of auxiliary sensor parts (113b) and auxiliary fixing parts (112b).

[0064] Accordingly, the workpiece (P) fixed on the upper part of the jig plate (111) can be controlled more precisely through one or more pairs of auxiliary sensor units (113b) and auxiliary fixing units (112b). That is, after measuring a reference through one pair of reference sensor units (113a) and reference fixing units (112a), the detailed processing status can be monitored based on the measurement signal measured through one or more pairs of auxiliary sensor units (113b) and auxiliary fixing units (112b), and the processing of the workpiece (P, workpiece) can be actively controlled by determining whether there is an abnormal signal.

[0065] For example, if the measurement signal of the fixed workpiece (P) measured by a pair of reference sensor units (113a) and reference fixed units (112a) is normal, the auxiliary sensor unit (113b) and auxiliary fixed unit (112b) may not be controlled separately, but if the signal is abnormal, more detailed measurement may be performed through a pair or multiple pairs of auxiliary sensor units (113b) and auxiliary fixed units (112b) to enable more precise active control.

[0066] In this way, the fixed parts (112: 112a, 112b) and the sensor parts (113: 113a, 113b) are matched 1:1 with each other to form a pair, and the sensor parts (113) are positioned facing each other with respect to the workpiece (P), and can be arranged in an asymmetrical number. For example, as shown in FIG. 2, two auxiliary sensor parts (113b) are arranged on one side of the workpiece (P), and one reference sensor part (113a) is positioned on the other side facing them, thereby saving the total number of sensor parts (113) and enabling more efficient sensor measurement and control by distinguishing roles as reference and auxiliary. In addition, the fixing part (112: 112a, 112b) is arranged such that two auxiliary fixing parts (112b) are arranged on one side of the workpiece (P), and one reference fixing part (112a) is located on the other side perpendicular to it, thereby saving the total number of fixing parts (112) and enabling more efficient fixing and control by distinguishing the roles of reference and auxiliary.

[0067] Next, the fixed moving part (114) can perform the function of moving the fixed part (112) along the X, Y, and Z axes.

[0068] Preferably, the fixed moving part (114) according to the present invention may be a control means controlled by a servo motor to enable movement along the X, Y, and Z axes, but the present invention is not limited thereto, and any known moving device capable of movement along the X, Y, and Z axes may be applied without limitation. At this time, depending on whether the measurement signal measured by the sensor part (113) is an abnormal signal, if the measurement signal is an RMS (effective value) voltage value greater than the initial measurement signal and less than the abnormal signal, only the fixed moving part (114) can be controlled. That is, when it is determined to be an abnormal signal, the fixed moving part (114) can be controlled to move along the X, Y, and Z axes to adjust the fixed part (112), so that a normal signal rather than an abnormal signal can be produced.

[0069] Next, the sensor moving part (115) can perform the function of moving the sensor part (113) along the X, Y, and Z axes.

[0070] Preferably, the sensor moving unit (115) according to the present invention may be a control means controlled by a servo motor to enable movement along the X, Y, and Z axes, but the present invention is not limited thereto, and any known moving device capable of movement along the X, Y, and Z axes may be applied without limitation. At this time, depending on whether the measurement signal measured by the sensor unit (113) is an abnormal signal, if the measurement signal has a voltage value RMS (effective value) greater than the abnormal signal, the fixed moving unit (114) can be controlled first, and then the sensor moving unit (115) can be controlled second. That is, if it is determined to be an abnormal signal, the fixed moving unit (114) can be controlled to move along the X, Y, and Z axes and the fixed unit (112) can be adjusted, and then the sensor moving unit (115) can be controlled to move along the X, Y, and Z axes and the sensor unit (113) can be adjusted, so that a normal signal rather than an abnormal signal is produced.

[0071] A smart jig (SMART JIG: 110) according to one embodiment of the present invention described above can be mounted on a processing equipment (Fig. 3, 12) to be implemented as a processing system (100) according to the present invention, and more specific details can be clearly understood through the detailed description below.

[0072] [Part processing process monitoring system (100) equipped with a smart jig (110)]

[0073] In the following embodiments, the overall processing system (100) will be illustrated and described with a focus on a smart jig (110) and a processing equipment (120) equipped with it. For convenience of explanation, each component and form may be illustrated and described briefly, but the present invention is not limited thereto, and it should be understood that various components and functions illustrated or described in the preferred embodiments of the present invention are all features of the present invention.

[0074] FIG. 3 is a simplified drawing showing a processing system equipped with a smart jig according to one embodiment of the present invention.

[0075] Referring to FIG. 3, a processing system (100) according to one embodiment of the present invention may be configured to include a smart jig (110) and a processing equipment (120).

[0076] First, a smart jig (110) according to one embodiment of the present invention is configured to include a jig plate (111), a fixing part (112), a sensor part (113), a fixed moving part (114), and a sensor moving part (115), but a detailed description is omitted to avoid duplication with the content described above with reference to FIG. 2.

[0077] Next, a processing equipment (120) according to one embodiment of the present invention may be configured to include a bed (not shown) and a processing means (not shown).

[0078] First, the bed (not shown) has the smart jig (110) mounted on its upper surface and can perform the function of receiving a measurement signal measured by the sensor unit (113) of the smart jig (110) and, based on this, controlling the sensor unit (113) and the fixed unit (112) through the fixed moving unit (114) and the sensor moving unit (115), respectively. The detailed internal configuration of the bed can be clearly understood through the following detailed description with reference to FIG. 4.

[0079] Next, the processing means (not shown) can perform the function of processing a workpiece (P) placed on a smart jig (110) positioned facing each other at a certain distance above the bed. For example, this processing means can use any known cutting tool used in a computer numerical control processing device, such as a CNC (Computer Numerical Control) machine, without limitation, and can determine the position and process the workpiece (P) along the input coordinates. However, the processing means according to the present invention is not limited thereto and may include all known techniques capable of performing a fixation that processes the workpiece (P) while moving in the horizontal and vertical directions.

[0080] The processing system (100) according to one embodiment of the present invention described above is not limited thereto and may be implemented in other embodiments in which other components are added or modified to further implement various functions and effects.

[0081] [Internal configuration of the part processing process monitoring system (100)]

[0082] In the following detailed description, we will examine the internal configuration of a bed (not shown) that performs an important function for the implementation of the present invention and the function of each component.

[0083] FIG. 4 is a detailed drawing illustrating the internal configuration of a bed according to one embodiment of the present invention.

[0084] Referring to FIG. 4, a bed (not shown) according to one embodiment of the present invention may have the following modules built in, and may be configured to include a monitoring unit (121), a fixed adjustment unit (122), a linear adjustment unit (123), a communication unit (124), and a control unit (125).

[0085] According to one embodiment of the present invention, the monitoring unit (121), fixed control unit (122), sensor control unit (123), communication unit (124), and control unit (125) may be program modules, at least some of which transmit and receive data to and from a smart jig (110), a user terminal device (Fig. 6, 200), and / or a server (Fig. 6, 300). These program modules may be included in the bed (not shown) in the form of an operating system, an application program module, and other program modules, and may be physically stored on various known memory devices, and may be implemented as hardware components (e.g., a general-purpose processor, a dedicated processor) and / or software components (e.g., firmware, an application, a program module) and combinations thereof. Additionally, these program modules may be stored in a remote memory device capable of communication. Meanwhile, these program modules encompass routines, subroutines, programs, objects, components, data structures, etc., which perform specific tasks or execute specific abstract data types as described below according to the present invention, but the present invention is not limited thereto.

[0086] First, a monitoring unit (121) according to one embodiment of the present invention is embedded in the bed and can perform the function of collecting a measurement signal measured from the sensor unit (113) of the smart jig (110) and determining whether there is an abnormal signal.

[0087] More specifically, the monitoring unit (121) determines that the initial measurement signal measured before the processing process of the workpiece (P) is greater than the set value based on the measurement signal measured by one or more sensor units (113) provided in the smart jig (110) without a separate force sensor, and the set value may be greater than the RMS (Root Mean Square, RMS value) of the voltage value of the initial measurement signal.

[0088] FIG. 5 is a graph showing the waveform of a measurement signal measured by a sensor unit according to an embodiment of the present invention. Referring to FIG. 5, when the voltage value RMS of the initial measurement signal in the monitoring unit (121) is 2V (section A), the setting value is 4. When the measurement signal measured by one or more sensor units (113) is 3V (sections B and D), it can be determined that it is not an abnormal signal because it is greater than the initial measurement signal 2V but less than the setting value 4. On the other hand, when the measurement signal is 4V (section C), it is greater than the initial measurement signal 2V and greater than the setting value 4, so it can be determined that it is an abnormal signal.

[0089] Additionally, the monitoring unit (121) collects the measurement signal measured from the sensor unit (113) of the smart jig (110) and transmits recommendation information to a user terminal device (Fig. 6, 300) via a server (Fig. 6, 200) on a communication network (Fig. 6, 400). The server (Fig. 6, 200) then provides a reflection value calculated by the server (Fig. 6, 200) based on the recommendation information and the environment setting configured by the user terminal device (Fig. 6, 300), and reflects this value into the setting value. In this case, the system may determine whether there is an abnormal signal based on the setting value.

[0090] Next, a fixed control unit (122) according to one embodiment of the present invention is embedded in the bed (not shown) and can perform the function of controlling a fixed moving unit (114) based on the determination of whether there is an abnormal signal from the monitoring unit (121).

[0091] More specifically, the fixed control unit (122) is embedded in the bed, and the fixed moving unit (114) can be controlled when the measurement signal is a voltage value RMS (effective value) greater than the initial measurement signal and less than the abnormal signal, depending on the judgment of the monitoring unit (121).

[0092] Next, a sensor control unit (123) according to one embodiment of the present invention is embedded in the bed and can perform the function of controlling a sensor moving unit (115) based on the determination of whether there is an abnormal signal from the monitoring unit (121).

[0093] More specifically, the sensor control unit (123) is embedded in the bed and can control the sensor moving unit (115) when the measurement signal is a voltage value RMS (effective value) greater than the abnormal signal. In particular, the fixed control unit (122) and the sensor control unit (123) can first control the fixed moving unit (114) and then secondarily control the sensor moving unit (115) when the measurement signal is a voltage value RMS (effective value) greater than the abnormal signal.

[0094] Next, a communication unit (124) according to one embodiment of the present invention can perform the function of enabling internal components (121, 122, 123, 125) of a module embedded in a bed (not shown) to transmit and receive data (information) with an external device such as a smart jig (110), a user terminal device (Fig. 6, 300) and / or a server (Fig. 6, 200). For example, the communication module capable of wired / wireless internet, RF wireless communication, Bluetooth, or ZigBee with the external device may be used, but the present invention is not limited thereto and may use a known wired / wireless communication method.

[0095] Finally, a control unit (125) according to one embodiment of the present invention can perform the function of controlling the flow of data between a monitoring unit (121), a fixed control unit (122), a sensor control unit (123), and a communication unit (124). That is, by controlling the flow of data from the outside or between each component of a module embedded in a bed (not shown), the control unit (125) according to the present invention can control the monitoring unit (121), the fixed control unit (122), the sensor control unit (123), and the communication unit (124) to perform their respective unique functions.

[0096] [Overall System Configuration]

[0097] In the following detailed description, the entire system on the communication network of the processing system (100) equipped with the smart jig (110) described above will be described. However, since the basic configuration of the processing system (100) including the smart jig (110) and the processing equipment (120) is the same as that described with reference to FIGS. 2 to 5, the description of each configuration will be omitted to avoid duplication.

[0098] FIG. 6 is a diagram showing the configuration of an overall system including a processing system equipped with a smart jig according to one embodiment of the present invention.

[0099] Referring to FIG. 6, the entire system according to one embodiment of the present invention may be configured to include a processing system (100), a server (200), a user terminal device (300), and a communication network (400).

[0100] First, a processing system (100) according to one embodiment of the present invention can monitor the process status based on the measurement signal of one or more sensor units (113) provided in a smart jig without a separate force sensor, and can control the fixed unit (112) and sensor unit (113) of the smart jig (110) by determining whether there is an abnormal signal.

[0101] More specifically, the processing system (100) can collect a measurement signal measured from the sensor unit (113) of the smart jig (110) and transmit recommendation information to a user terminal device (300) via a server (200) on a communication network (400). When the user terminal device (300) reflects a value calculated from the server (200) into the setting value according to the environment setting based on the recommendation information, the processing system (100) can determine whether the measurement signal is an abnormal signal by receiving it from the setting value.

[0102] Next, a server (200) according to one embodiment of the present invention can perform the function of an operation server capable of performing related operational tasks such as smart process management (control) and smart processing system management.

[0103] More specifically, the server (200) can collect measurement signals and related information measured from the sensor unit (113) of the smart jig (110) provided in the processing system (100) on the communication network (400) and provide the recommendation information thereon to the user terminal device (300). At this time, the reflection value calculated by the server (200) according to the environment setting input by the user terminal device (300) based on the recommendation information can be reflected in the setting value and used to determine whether the measurement signal measured by the sensor unit (113) is an abnormal signal.

[0104] In particular, the server (200) can transmit information suitable for the measured signal to the user terminal device (300) and perform the function of efficiently and precisely controlling the processing process of the processing system (100) through a setting value that reflects a value calculated according to the environment setting selected by the user terminal device (300). At this time, it can perform the function of a web / app operating server of the operating company of the processing system (100) or a server function of a separate professional operating company. When a user installs (signs up) the web / app operated by the server (200) through their user terminal device (300), logs in, and requests a management service for the processing system (100), the server can provide the relevant service.

[0105] For example, when information regarding the material and size of a workpiece (P) of a selected processing system (100) is received through a user terminal device (300), a dedicated web and / or dedicated app program can be supported to recommend a commercially available model and manage (control) related services suitable for that model. In addition, the server (200) may perform the function of supporting an interface necessary to build an application such as an API (Application Programming Interface) on the web / app so that the processing system (100) can run an application to implement a network according to the present invention with the user terminal device (300).

[0106] Meanwhile, in FIG. 6, which illustrates an embodiment of the present invention, the processing system (100) and the server (200) are shown as being implemented separately for convenience of explanation, but depending on the needs of those skilled in the art implementing the present invention, the processing system (100) and the server (200) may be implemented as an integrated unit without separate coupling between components.

[0107] Next, a user terminal device (300) according to one embodiment of the present invention may be a digital device that includes a function to communicate a measurement signal and information selected by the user after connecting to the processing system (100) and / or server (200), as a terminal device for a user (person) who remotely controls a workpiece (P) processed in a processing system (100).

[0108] More specifically, this user terminal device (300) can perform the function of selecting a workpiece (10) to a processing system (100), and can also perform the function of electrically measuring the workpiece (10) in the processing system (100) and, based on the measured signal, reflecting the environment settings selected by the user into the setting values ​​through the server (200) according to the recommendation information provided by the server (200) and providing them to the processing system (100).

[0109] For example, when a user selects and processes a workpiece (P) of a specific material and size in a processing system (100) through a user terminal device (300), the user can control it by downloading and installing an app that connects to a server (200) through their user terminal device (300) and transmits and receives measurement signals and control-related information regarding the workpiece (P) of the processing system (100). If there is a digital device fixed in the space, a dedicated web program with the same function can be additionally installed.

[0110] In addition, the workpiece (10) may be electrically measured in the processing system (100), and based on the measured signal, the user may transmit the selected environment settings to the server (200) according to the information recommended by the server (200) to calculate the reflection value, and the calculated reflection value may be reflected in the setting value and transmitted to the processing system (100).

[0111] Meanwhile, the user terminal device (300) according to the embodiment of the present invention described above is a digital device that includes the function of transmitting and receiving with the processing system (100) and / or server (200) described above by connecting through a communication network (400). Various terminal devices such as all known mobile communication terminal devices, information communication devices, multimedia terminal devices, wired terminal devices, fixed terminal devices, and IP (Internet Protocol) terminal devices may be applied as such a digital device. Specifically, the terminal device is a digital device equipped with memory means and equipped with a microprocessor to have computational capabilities, such as a smartphone, PMP (Portable Multimedia Player), Personal Digital Assistant (PDA), MID (Mobile Internet Device), Telematics terminal, desktop, tablet PC, notebook, netbook, etc. Any device that includes wired / wireless communication functions may be adopted as a terminal device according to the present invention.

[0112] Additionally, the user terminal device (300) may be equipped with a display means capable of displaying information related to the measurement signal according to the present invention and information related to the user's environment settings. Here, the display means may be composed of an LCD (Liquid Crystal Display), a TFT-LCD (Thin Film Transistor LCD), an OLED (Organic Light Emitting Diodes), a light-emitting diode (LED), an AMOLED (Active Matrix Organic LED), a flexible display, and a 3D display. At this time, the display means may include a touch screen form and may perform some or all of the functions of the input means.

[0113] Finally, a communication network (400) according to one embodiment of the present invention is a network capable of performing a series of data transmission and reception operations for data transmission and information exchange between a processing system (100), a server (200), and a user terminal device (300), and can be configured regardless of the communication mode, such as wired and / or wireless.

[0114] More specifically, it may be any one of a Local Area Network (LAN), Metropolitan Area Network (MAN), Wide Area Network (WAN), Integrated Services Digital Network (ISDN), Wireless LAN, Mobile Communication Network, Wi-Fi, Bluetooth, or ZigBee, or may be various forms of wired or wireless communication networks configured by linking a combination thereof; however, this is described as an example and the present invention is not limited thereto, and known communication technologies may be adopted and used without limitation.

[0115] [Method of the entire system]

[0116] In the following detailed description, the control process of the processing system (100) according to the present invention is described with an example focusing on the processing process between the processing system (100), the server (200), and the user terminal device (300), but this is a description of the most representative process for the convenience of explanation and the present invention is not limited thereto.

[0117] FIG. 7 is a flowchart between a processing system equipped with a smart jig according to one embodiment of the present invention and its components.

[0118] Referring to FIG. 7, first, the user terminal device (300) can request the server (200) to provide (download) an app dedicated to the model and perform the process of installing it on the user terminal device (300) (S10).

[0119] Next, when the user selects and transmits information such as the material and size of the workpiece (P) to be processed in the processing system (100) using their user terminal device (300), the smart jig (110) mounted on the processing system (100) can perform the process of fixing through the fixing part (112) (S20).

[0120] Next, the smart jig (110) mounted on the processing system (100) can perform the process of measuring an electrical signal of the workpiece (P) through the sensor unit (113) (S30).

[0121] At this time, one or more sensor parts (113) can electrically measure a workpiece (P) placed in the center of the jig plate (111) of the smart jig (110) fixed by one or more fixing parts (112), but since this has been described in the configuration of the smart jig (110) and processing system (100) described above in a more detailed description, it will be omitted to avoid duplication.

[0122] Next, measurement signal related information including the measurement signal measured by the processing system (100) can be transmitted to the server (200) (S40).

[0123] Next, the server (200) collects measurement signal-related information including the above measurement information (S50), and based on the collected information, can provide recommendation information to the user via the user terminal device (300) (S60). At this time, the measurement signal-related information may be an initial measurement signal measured before the processing process of the workpiece (P) along with the measurement signal of the workpiece (P). The recommendation information can be recommended to the user terminal device (300) by classifying the material, size, or purpose of the workpiece (P) into upper, middle, and lower depending on whether processing is easy with the user terminal device (300), upper, middle, and lower depending on the size, and upper, middle, and lower depending on the purpose (precision processing degree) of the workpiece (P).

[0124] Next, the recommended user terminal device (300) can input the final processing process environment settings according to the user's selection and transmit them to the server (200) (S70). At this time, the environment settings may be a process of finally selecting information recommended by the server (200) according to the material, size, or purpose of the workpiece (P).

[0125] Next, a process can be performed to calculate a reflection value according to the above environment settings and to reflect the reflection value in a setting value for determining an abnormal signal when the initial measurement signal is greater than or equal to the setting value (S80).

[0126] Next, the processing system (100), having received the above setting value from the server (200), can perform a determination process to determine whether there is an abnormal signal (S90).

[0127] More specifically, in this abnormal signal determination process (S90), the monitoring unit (121) of the processing system (100) equipped with the smart jig (110) collects the measurement signal measured from the sensor unit (113) of the smart jig (110) to determine whether it is an abnormal signal. If the initial measurement signal measured before the processing process of the workpiece (P) is greater than the set value transmitted from the server (300), it can be determined as an abnormal signal.

[0128] Next, in the fixed control unit (122) of the processing system (100), if the measurement signal is a voltage value RMS (effective value) greater than the initial measurement signal and less than the abnormal signal according to the judgment of the monitoring unit (121), the process of controlling the fixed moving unit (114) may be further included (S100).

[0129] At the same time, the sensor control unit (123) of the processing system (100) may further include a process of controlling the sensor moving unit (115) when the measurement signal is a voltage value RMS (effective value) greater than the abnormal signal (S100).

[0130] At this time, the above setting value may be greater than the RMS (Root Mean Square, RMS value) of the voltage value of the initial measurement signal, and in the fixed adjustment unit (114) and the sensor adjustment unit (123), if the measurement signal is greater than the RMS (RMS value) of the voltage value of the abnormal signal, the process may further include controlling the fixed moving unit (114) first and then controlling the sensor moving unit (115) second.

[0131] The configuration and method of the reference sensor part (113a) and auxiliary sensor part (113b) among these sensor parts (113), and the reference fixed part (112a) and auxiliary fixed part (112b) among the fixed part (112) are omitted to avoid duplication with the above detailed description with reference to FIG. 2.

[0132] In addition, the fixed part (112) and the sensor part (113) are matched 1:1 with each other to form a pair, and the sensor part (113) can be arranged in an asymmetrical number facing each other.

[0133] Accordingly, according to the present invention, the process situation can be monitored based on the measurement signal of one or more sensor units (113) provided in the smart jig (110) without a separate force sensor, and the fixing unit (112) and sensor unit (113) of the smart jig (110) can be controlled by determining whether there is an abnormal signal, thereby enabling the active control of the processing process of the workpiece (workpiece, P).

[0134] In addition, according to the present invention, a smart processing system (100) capable of active control on a communication network (400) can be implemented by collecting the measurement signal measured from the sensor unit (113) of the smart jig (110) on the communication network (400), transmitting recommendation information to a user terminal device (300) through a server (200), and reflecting the value calculated from the server (200) into the setting value according to the environment setting based on the recommendation information from the user terminal device (300).

[0135] FIG. 8 is a control block diagram of a part processing process monitoring system including a part processing device, a monitoring device, and a device management server according to one embodiment of the present invention.

[0136] The part processing device (811) includes a first processing communication unit (8111), a first smart jig (8112), and a first processing control unit (8113).

[0137] The first processing communication unit (8111) communicates with an external device. The communication unit (821) can perform wireless communication, and the wireless communication includes at least one of infrared communication, RF, Zigbee, and Bluetooth. The first processing communication unit (8111) receives a video signal and transmits it to the first processing control unit (8113) to be described later, and can be implemented in various ways corresponding to the specifications of the received video signal and the implementation form of the user terminal. For example, the first processing communication unit (8111) can wirelessly receive an RF (radio frequency) signal transmitted from a broadcasting station (not shown), or receive a video signal according to composite video, component video, super video, SCART, HDMI (high definition multimedia interface) specifications, etc. via a wired connection. If the video signal is a broadcast signal, the first processing communication unit (8111) may include a tuner that tunes this broadcast signal by channel.

[0138] The first smart jig (8112) is composed of a modular jig structure that allows for various combinations depending on the shape of the workpiece.

[0139] The first processing control unit (8113) can control the first smart jig (8112) so that processing is performed according to the control signal received by the first processing communication unit (8111).

[0140] The monitoring device (820) may include a communication unit (821), a sensor unit (822), an input unit (823), a display unit (824), a camera (825), and a control unit (826).

[0141] The communication unit (821) communicates with an external device. The communication unit (821) can perform wireless communication, and the wireless communication includes at least one of infrared communication, RF, Zigbee, and Bluetooth. The communication unit (821) receives a video signal and transmits it to the control unit (826) to be described later, and can be implemented in various ways corresponding to the specifications of the received video signal and the implementation form of the user terminal. For example, the communication unit (821) can wirelessly receive an RF (radio frequency) signal transmitted from a broadcasting station (not shown), or receive a video signal according to composite video, component video, super video, SCART, HDMI (high definition multimedia interface) specifications, etc. via a wired connection. If the video signal is a broadcast signal, the communication unit (821) may include a tuner that tunes the broadcast signal by channel.

[0142] The sensor unit (822) includes a first sensor unit (221), a second sensor unit (222), and a third sensor unit (223). The first sensor unit (8221) may include a first clamping force detection unit (8221-1) and a first vibration sensor (8221-2).

[0143] The first clamping force detection unit (8221-1) is embedded in the smart jig (8112) of the part processing device and detects the clamping force. The first clamping force detection unit (221-1) may include a load sensor that detects pressure on a plurality of areas of the smart jig (812). The first vibration sensor (8221-2) detects the vibration intensity of the smart jig (8112).

[0144] The second sensor unit (8222) and the third sensor unit (8223) are each embedded in the smart jig of a different part processing device and can detect clamping force and vibration intensity.

[0145] The input unit (823) may be composed of an input means that allows a user to input user commands. The input unit (823) may receive a user's touch input or a user's remote input using a remote controller and transmit it to the corresponding control unit (826). Additionally, the input unit (823) may receive voice input spoken by the user and transmit the voice signal to the control unit (826). In that case, the input unit (823) may be implemented, for example, as a microphone. The input unit (823) may also perform signal processing on the received voice signal itself. However, the form of user input that the input unit (823) can receive is not limited to this, and user input such as motion recognition may also be received.

[0146] The display unit (824) displays an image based on an image signal processed by image processing. The implementation method of the display unit (824) is not limited and can be implemented in various display methods such as liquid crystal, plasma, light-emitting diode, organic light-emitting diode, surface conduction electron-emitter, carbon nanotube, nanocrystal, etc.

[0147] The display unit (824) may additionally include additional configurations depending on the implementation method. For example, if the display unit (824) is a liquid crystal type, the display unit (824) includes a liquid crystal display panel (not shown), a backlight unit (not shown) that supplies light thereto, and a panel driving board (not shown) that drives the panel (not shown). The display unit (824) may display a voice recognition result as information regarding the recognized voice. Here, the voice recognition result can be displayed in various forms such as text, graphics, and icons, and the text includes characters and numbers. The display unit (824) may further display candidate commands and application information based on the voice recognition result. The user can check whether the voice has been correctly recognized by the voice recognition result displayed on the display unit (824), and can select a command corresponding to the voice spoken by the user from among the displayed candidate commands by operating the input unit (823) provided on the remote control, or select and check information related to the voice recognition result. The camera (825) can photograph the smart jig and parts.

[0148] The control unit (826) stores the normal clamping force range and normal vibration intensity range of each smart jig of each of the plurality of part processing devices, determines whether there is an abnormality in each smart jig (8112) of each of the plurality of part processing devices based on whether at least one of the clamping force and vibration intensity detected by each sensor unit (822) of each of the plurality of part processing devices deviates from the corresponding normal range, and controls the communication unit (821) to transmit the determination result to an external device.

[0149] The control unit (826) collects the clamping force history and vibration intensity history of each smart jig (8112) of a plurality of part processing devices in which an abnormality has occurred, and extracts the history directly related to the occurrence of an abnormality in the corresponding part processing device from the clamping force history and vibration intensity history using an artificial intelligence model, and can generate a normal clamping force range and a normal vibration intensity range to determine whether there is an abnormality in the smart jig (8112) based on the extracted history.

[0150] The control unit (826) stores the normal pressure range and normal pressure distribution range for multiple areas of the smart jig (8112), and if the pressure for multiple areas of the smart jig (8112) detected by the load sensor deviates from the normal pressure range and normal pressure distribution range, it can determine that there is an abnormality in the smart jig (8112).

[0151] Artificial intelligence models perform learning by retaining important past information for long periods and forgetting unnecessary information through internal cell state and gate structures. As a result, they can effectively distinguish and learn from the history directly related to the occurrence of abnormalities in part processing equipment that appear gradually over a long period, as well as short-term noise or abnormal signals.

[0152] The device management server (830) includes a server communication unit (831) and a server control unit (832).

[0153] The server communication unit (831) communicates with a plurality of component processing devices and the communication unit (821). The server communication unit (831) can perform wireless communication, and the wireless communication includes at least one of infrared communication, RF, Zigbee, and Bluetooth. The server communication unit (831) receives a video signal and transmits it to the server control unit (832) to be described later, and can be implemented in various ways corresponding to the specifications of the received video signal and the implementation form of the user terminal. For example, the server communication unit (831) can wirelessly receive an RF (radio frequency) signal transmitted from a broadcasting station (not shown), or receive a video signal according to composite video, component video, super video, SCART, HDMI (high definition multimedia interface) specifications, etc. via a wired connection. If the video signal is a broadcast signal, the server communication unit (831) may include a tuner that tunes this broadcast signal by channel.

[0154] The server control unit (832) determines whether to operate the corresponding part processing device where an abnormality occurred based on the result of determining whether the smart jig (8112) is abnormal received from the monitoring device.

[0155] The server control unit (832) can analyze the clamping force and vibration intensity at the time when an abnormality occurred among the collected clamping force history and vibration intensity history using an artificial intelligence model, and generate operation status determination data to determine whether the part processing device is operated based on the analyzed clamping force and vibration intensity.

[0156] The server control unit (832) can reduce the driving speed of the part processing device or stop the driving based on the degree to which at least one of the clamping force, vibration intensity, pressure and pressure distribution for multiple areas of the smart jig (8112) detected by each sensor unit (822) of the multiple part processing devices deviates from the normal distribution range.

[0157] Here, the operational status determination data is defined not merely as a set of events where individual sensor values ​​exceed a specific threshold, but as the dynamic and time-series correlation between multiple sensor values ​​analyzed through an artificial intelligence model. Specifically, this means analyzing the process of data change over time (time-series characteristics) rather than the sensor values ​​themselves at a specific point in time, and capturing the changes in relationships (dynamic characteristics) that occur when multiple sensor values, which are normally unrelated, change together under specific conditions. For example, under normal circumstances, there is no distinct correlation between changes in the clamping force of the part processing device, the vibration intensity of the smart jig, the pressure of the smart jig, and the pressure distribution of the smart jig; however, when a part defect occurs, changes in the clamping force of the part processing device, the vibration intensity of the smart jig, the pressure of the smart jig, and the pressure distribution of the smart jig occur in the same direction, thereby creating a strong correlation.

[0158] FIG. 9 is a flowchart of a method for monitoring a part processing process using a part processing process monitoring system according to one embodiment of the present invention.

[0159] The monitoring device (820) collects the clamping force history and vibration intensity history of the first smart jig (8112) of the part processing device (811) where an abnormality occurred (S11).

[0160] Using an artificial intelligence model in the monitoring device (820), the history directly related to the occurrence of an abnormality in the corresponding part processing device (811) is extracted from the clamping force history and vibration intensity history (S12).

[0161] Based on the history extracted from the monitoring device (820), a normal clamping force range and a normal vibration intensity range are generated to determine whether there is an abnormality in the first smart jig (8112) (S13).

[0162] The device management server (830) analyzes the clamping force and vibration intensity at the time an abnormality occurred among the collected clamping force history and vibration intensity history using an artificial intelligence model (S14).

[0163] Based on the clamping force and vibration intensity analyzed by the device management server (30), operation determination data is generated to determine whether the part processing device is operating (S15).

[0164] The monitoring device (820) stores the normal pressure range and normal pressure distribution range for multiple areas of the first smart jig (8112) (S16).

[0165] The monitoring device (820) determines whether at least one of the clamping force and vibration intensity detected by the sensor unit (822) of the part processing device (811) is outside the normal range (S17).

[0166] The monitoring device (820) determines whether there is an abnormality in each smart jig of the multiple part processing devices (S18).

[0167] If the pressure in a plurality of areas of the first smart jig (8112) detected by the load sensor in the monitoring device (820) deviates from the normal pressure range and normal pressure distribution range, it is determined that there is an abnormality in the first smart jig (8112) (S19).

[0168] The judgment result from the monitoring device (820) is transmitted to the device management server (830) (S20).

[0169] Based on the result of determining whether the first smart jig (8112) is abnormal, received from the monitoring device (820) in the device management server (830), the operation of the corresponding part processing device (811) where the abnormality occurred is determined (S21).

[0170] The device management server (830) reduces the driving speed of the part processing device or stops the driving based on the degree to which at least one of the clamping force, vibration intensity, pressure and pressure distribution of multiple areas of the smart jig detected by each sensor part of the multiple part processing device deviates from the normal distribution range (S22).

[0171] Modifiable embodiments other than the above embodiments are described.

[0172] The control unit can determine whether the smart jig is abnormal by applying a weight based on the extent to which at least one of the clamping force and vibration intensity detected by the sensor unit deviates from the corresponding normal range. This allows the defect rate to be minimized by ensuring that processing is performed only after corrective measures are taken if even a slight abnormality is detected in the smart jig.

[0173] The control unit detects the temperature and temperature changes of the smart jig while processing is being performed in the part processing device, and if the temperature and temperature changes deviate from the preset normal temperature range and the preset normal temperature change range within a preset time, it can determine that the clamping of the smart jig is not properly performed.

[0174] The control unit determines whether the vibration intensity deviates from the normal vibration intensity range when the temperature and temperature change deviate from the preset normal temperature range and the normal temperature change range within the preset time, and if it is determined that it deviates, it can immediately stop the operation of the part processing device.

[0175] The control unit determines whether the vibration intensity deviates from the normal vibration intensity range when the temperature and temperature change deviate from the preset normal temperature range and the normal temperature change range within the preset time, and if it determines that it does not deviate, it can reduce the driving speed of the part processing device by more than 30%.

[0176] The control unit can immediately stop the operation of the part processing device after reducing the driving speed of the part processing device by 30% or more and driving it, if the temperature and temperature change deviate from the preset normal temperature range and the preset normal temperature change range within a preset time.

[0177] Due to the part machining process monitoring system and part machining process monitoring method, if a signal detected by a sensor embedded in a smart jig deviates from the normal clamping force range and normal vibration intensity range of the stored smart jig, the operation of the corresponding part machining device can be slowed down or stopped, thereby reducing the defect rate of part machining and improving the efficiency and economic feasibility of the process.

[0178] Furthermore, by analyzing the history of abnormalities, criteria for determining whether a smart jig is malfunctioning can be accurately determined. Additionally, the operation of the part processing device can be accurately determined to reduce the defect rate. Moreover, since parts can be processed by determining whether the pressure fixed by the smart jig is within the normal range and whether the pressure distribution is uniform, there is an effect of significantly reducing the defect rate. Furthermore, the defect rate can be reduced by stopping the operation of the part processing device as the smart jig's clamping force and vibration deviate significantly from the normal range.

[0179] In the above detailed description, the present invention has been described with specific details such as specific components, limited embodiments, and drawings, but this is provided only to aid in a more comprehensive understanding of the present invention, and the present invention is not limited to the above embodiments, and a person skilled in the art to which the present invention belongs can make various modifications and variations from this description.

[0180] Accordingly, the scope of the present invention is not limited to the embodiments described above, and all modifications equivalent to or equivalent to the claims set forth below, as well as the claims described below, shall be considered to fall within the scope of the concept of the present invention.

[0181] The present invention is a smart jig control technology applicable to machining processes in various industrial fields, such as machine tools, semiconductors, automobiles, and electronic components. It enables real-time monitoring of the machining status and determination of abnormalities solely through measurement signals from the sensor unit, without the need for a separate force sensor, thereby allowing for the active control of the fixed unit and the sensor unit. Furthermore, since remote or automatic control is possible by exchanging control signals between a server and a user terminal via a communication network, it can be utilized for improving productivity, reducing defect rates, and automating processes.

Claims

1. A jig plate supporting the workpiece; At least one fixing part located on the above jig plate and fixing the above workpiece; At least one sensor part located on the jig plate and electrically measuring the workpiece fixed by the fixing part; A fixed moving part that moves the above fixed part along the X, Y, and Z axes; and It includes a sensor moving unit that moves the above sensor unit along the X, Y, and Z axes, and A smart jig characterized by controlling at least one of the fixed moving part and the sensor moving part when a measurement signal measured by the sensor part is determined to be an abnormal signal.

2. In Paragraph 1, A smart jig characterized in that the measurement signal measured by the sensor unit is determined to be an abnormal signal if it is greater than or equal to a set value in the initial measurement signal measured before the processing process of the workpiece, and the set value is greater than the RMS (Root Mean Square) voltage value of the initial measurement signal.

3. In Paragraph 2, If the above measurement signal is a voltage value RMS (effective value) greater than the above initial measurement signal but less than the above abnormal signal, Controls only the above fixed moving part, If the above measurement signal is a voltage value RMS (effective value) greater than the above abnormal signal, A smart jig characterized by first controlling the fixed moving part and secondarily controlling the sensor moving part in succession.

4. In Paragraph 1, The above fixed part and the above sensor part are matched 1:1 with each other to form a pair, and A smart jig characterized by the above sensor parts being arranged in an asymmetrical number facing each other.

5. In Paragraph 4, The reference sensor among the above sensor parts is positioned on the upper part of the jig plate so as to be in contact with one side of the workpiece, and Among the above fixed parts, the reference fixed part is positioned on the upper part of the jig plate so as to be in contact with another side perpendicular to one side of the workpiece, A smart jig characterized by forming a pair of reference sensor parts and a reference fixing part.

6. In Paragraph 4, At least one auxiliary sensor unit among the above sensor units is positioned on the upper part of the jig plate so as to be in contact with one side of the workpiece, and At least one auxiliary fixing part among the above fixing parts is positioned on the upper part of the jig plate so as to be in contact with one side of the workpiece, A smart jig characterized by having at least one pair of auxiliary sensor parts and auxiliary fixing parts.

7. Smart jig according to Paragraph 1; A monitoring unit that collects measurement signals measured from the sensor unit of the smart jig and determines whether there is an abnormal signal, wherein the monitoring unit determines whether there is an abnormal signal by using the RMS (Root Mean Square) voltage value of the initial measurement signal measured before the machining process of the workpiece and an abnormal signal setting value greater than that; A fixed control unit that controls the fixed moving unit when, according to the judgment of the monitoring unit, the measurement signal is greater than or equal to the initial measurement signal voltage value RMS (effective value) or less than the abnormal signal setting value; and It includes a sensor control unit that controls the sensor moving unit when the measurement signal is greater than or equal to the abnormal signal setting value according to the judgment of the monitoring unit above. A part processing monitoring system characterized by the above fixed adjustment unit and the above sensor adjustment unit first controlling the fixed moving unit and subsequently secondarily controlling the above sensor moving unit when the above measurement signal is a voltage value RMS (effective value) greater than or equal to the above abnormal signal.

8. In Paragraph 7, The above fixed part and the above sensor part are matched 1:1 with each other to form a pair, and The above sensor unit is characterized by being arranged in an asymmetric number facing each other. Parts processing monitoring system.

9. In Paragraph 8, A part machining process monitoring system characterized in that the reference sensor part among the sensor parts is positioned on the upper part of the jig plate so as to be in contact with one side of the workpiece, and the reference fixing part among the fixing parts is positioned on the upper part of the jig plate so as to be in contact with another side perpendicular to one side of the workpiece, thereby forming a pair of reference sensor parts and reference fixing parts.

10. In Paragraph 8, At least one auxiliary sensor part among the sensor parts is positioned on the upper part of the jig plate so as to be in contact with one side of the workpiece, and at least one auxiliary fixing part among the fixing parts is positioned on the upper part of the jig plate so as to be in contact with one side of the workpiece, thereby forming one pair or multiple pairs of auxiliary sensor parts and auxiliary fixing parts. Parts processing monitoring system.

11. In Paragraph 7, The above-mentioned part processing monitoring system is, A communication unit that communicates with an external device; The device management server further comprises a server communication unit that transmits and receives data to and from the communication unit, and a server control unit that determines whether to operate a part processing device equipped with a smart jig in which an abnormality has occurred, based on a result of determining whether an abnormality of the smart jig has occurred received from the monitoring unit. Parts processing monitoring system.

12. In Paragraph 11, The above-mentioned part processing monitoring system is, The above smart jig further includes a vibration sensor embedded therein that detects vibration intensity, and The above monitoring unit is, A method characterized by collecting the clamping force history and vibration intensity history of a smart jig for a part processing device in which an abnormality has occurred, using an artificial intelligence model to extract data directly related to the occurrence of the abnormality from the said history, and generating a new normal clamping force range and a normal vibration intensity range based on the extracted data to determine whether the smart jig is abnormal. Parts processing monitoring system.

13. In Paragraph 12, The above-mentioned part processing monitoring system is, The smart jig further includes a load cell embedded therein that detects pressure in multiple regions, and The above monitoring unit is, Characterized by storing a normal pressure range and a normal pressure distribution range for each region, and determining an abnormality in the smart jig when the pressure detected by the load cell falls outside the said range. Parts processing monitoring system.

14. In Paragraph 13, The server control unit of the above device management server is, Characterized by controlling the driving speed of a part processing device or stopping the driving based on the degree to which at least one of the clamping force, vibration intensity, pressure by region, and pressure distribution of a smart jig for the part processing device deviates from the normal distribution range. Parts processing monitoring system.

15. In Paragraph 12, The above monitoring unit is, Characterized by training an artificial intelligence model with anomaly occurrence patterns to predict potential future abnormal states, and dynamically updating the normal range based on the predicted results. Parts processing monitoring system.

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