Method of Controlling Intelligent Production Quality Control System Based on Real-Time Process Data

Abstract

The present invention relates to an intelligent production quality control system and method based on real-time process data, and more specifically, to a control method of an intelligent production quality control system based on real-time process data that checks whether standard work quality management procedures, safety and environmental standards, and equipment and material management status are being implemented according to a plan on a production line, and performs verification and recording based on this. Specifically, the present invention comprises a control method for a real-time process data-based intelligent production and quality control system, comprising: a user terminal receiving process data from a user at a process site; a manager terminal receiving inspection information, which is at least one piece of information requiring verification at the process site provided by a server; and a server configured to communicate with the user terminal and the manager terminal and providing the user with a real-time process data-based intelligent production and quality control system, the method comprising: a basic checklist generation step of generating a checklist for receiving inspection information through the user terminal; an inspection information input step of receiving inspection information into the checklist generated in the basic checklist generation step through the user terminal; an inspection information storage step in which the server stores the inspection information received in the inspection information input step; an inspection information judgment step in which the server classifies and judges the inspection information received in the inspection information storage step by comparing it with one or more inspection results among past inspection results or predicted inspection results; and an inspection need notification step in which, if the server determines that action is required for the inspection information based on the inspection information judgment step, it notifies the user terminal that action is required. A re-inspection information re-entry step in which a re-inspection is performed and the inspection information is re-entered through the user terminal; a re-inspection information update step in which the server receives the inspection information entered in the re-inspection information re-entry step, updates the inspection information, and stores it; a re-inspection result re-evaluation step in which the server reclassifies and re-evaluates the inspection information received in the re-inspection information update step and controls the process to proceed to the inspection need notification step if necessary; and a re-inspection result provision step in which, if the server determines that no inspection is needed, the inspection information is distributed and provided through the user terminal and the administrator terminal.The present invention relates to a control method for an intelligent production and quality control system based on real-time process data, comprising:

Description

Technology Field

[0001] The present invention relates to an intelligent production quality control system and method based on real-time process data, and more specifically, to a control method of an intelligent production quality control system based on real-time process data that checks whether standard work quality management procedures, safety and environmental standards, and equipment and material management status are being implemented according to a plan on a production line, and performs verification and recording based on this. Background Technology

[0002] According to conventional technology, there were difficulties in field application due to unstable AI accuracy caused by the incorrect application of classification criteria at the manufacturing site.

[0003] Furthermore, according to conventional technology, there was a problem in that it was difficult to establish a single standard for all equipment and train the network, as the size, length, color, etc., of each detected defect varied depending on the type.

[0004] Therefore, there is a growing need for systems and methods that can be rapidly applied to the rapidly changing manufacturing environment using AI and various types of defects. Prior art literature

[0005] Korean Intellectual Property Office Registration No. 10-2343272, Korean Intellectual Property Office Application No. 10-2021-0072282 The problem to be solved

[0006] Accordingly, the objective of the present invention is to solve the problems of the prior art as described above by learning accurate and reliable manufacturing good product data in product quality inspection, which is a core task in various manufacturing fields, and to provide a control method for an intelligent production quality control system based on real-time process data applicable to quality inspection.

[0007] Specifically, the objective of the present invention is to systematically manage, record, and analyze inspections and process compliance matters by production line at a manufacturing site, and to provide a control method for an intelligent production quality control system based on real-time process data that performs quality inspection and management functions throughout the manufacturing process. means of solving the problem

[0008] To solve the above problem, an intelligent production quality control system based on real-time process data according to an embodiment of the present invention comprises: a user terminal receiving process data from a user at a process site; a manager terminal receiving inspection information, which is at least one piece of information requiring verification at the process site provided by a server; and a server configured to communicate with the user terminal and the manager terminal and providing the intelligent production quality control system based on real-time process data to the user. The control method of the intelligent production quality control system based on real-time process data comprises: a basic checklist generation step of generating a checklist for receiving inspection information through the user terminal; an inspection information input step of receiving inspection information into the checklist generated in the basic checklist generation step through the user terminal; an inspection information storage step in which the server stores the inspection information received in the inspection information input step; an inspection information judgment step in which the server classifies and judges the inspection information received in the inspection information storage step by comparing it with one or more inspection results among past inspection results or predicted inspection results; and an inspection need notification step in which the server, if it determines that action is required for the inspection information based on the inspection information judgment step, notifies the user terminal that action is required. A re-inspection information re-entry step in which a re-inspection is performed and the inspection information is re-entered through the user terminal; a re-inspection information update step in which the server receives the inspection information entered in the re-inspection information re-entry step, updates the inspection information, and stores it; and a re-evaluation of inspection result step in which the server reclassifies and re-evaluates the inspection information received in the re-inspection information update step and controls the process to proceed to the inspection need notification step if necessary.and may include a step of providing inspection results, wherein if the server determines that no inspection is necessary, it distributes and provides the inspection information through a user terminal and an administrator terminal.

[0009] Additionally, preferably, the inspection result providing step further comprises: a daily inspection information generation step in which the server generates daily inspection information based on the history of the inspection information previously stored in the server; a daily inspection information storage step in which the server stores the daily inspection information; and a daily inspection information providing step in which the server provides the daily inspection information to the administrator terminal.

[0010] Additionally, preferably, the real-time process data-based intelligent production and quality control system further comprises the manager terminal generating standard information including one or more of user information, corporate information, process line, multilingual settings, and company internal regulations, and further comprises the user terminal and manager terminal outputting the inspection information and standard information received via the server while the user terminal and manager terminal display a checklist.

[0011] Additionally, preferably, the real-time process data-based intelligent production and quality control system further comprises: a re-inspection information storage step in which the server stores re-inspection information, which is one or more pieces of information such as the number of times the inspection information determined in the inspection information judgment step and the inspection result re-judgment step, the risk level, and the person in charge; and a re-inspection information provision step in which the server distributes and provides the re-inspection information through the administrator terminal.

[0012] Additionally, preferably, the real-time process data-based intelligent production and quality control system further comprises: a template selection step in which a template is selected to repeatedly generate and select emails of the same form through the administrator terminal; a template editing step in which, when a template management request is received through the administrator terminal, the server controls the modification of the component for which the template management request was received through the administrator terminal to be performed, applied, and output; and an email transmission step in which the server determines a component with a high usage frequency and a pre-configured component among the components, and checks the emails and transmits them in bulk through the administrator terminal.

[0013] Additionally, preferably, the template editing step is characterized in that the component can be repeatedly placed within one or more templates through the administrator terminal, multiple different components can be placed within the templates through the administrator terminal, and the component can be moved on the template editing area due to a drag and drop method or a touch and drag method input through the administrator terminal.

[0014] Additionally, preferably, the real-time process data-based intelligent production and quality control system further comprises an inspection information prediction step in which the server analyzes current daily inspection information or previous daily inspection information to analyze the trend of results according to repeated daily inspection information, and performs a prediction based on time series information to predict future daily inspection information.

[0015] Additionally, preferably, the basic checklist generation step further comprises an automatic checklist generation step in which the server analyzes previous daily inspection information and the checklist to automatically generate a checklist of inspection information, which is at least one piece of information that is essential to verify.

[0016] Additionally, preferably, the real-time process data-based intelligent production and quality control system further comprises a field detection terminal installed at a process site that is configured to communicate with the server and detects the conditions of the site; wherein the field detection terminal transmits identification information and location information of the user terminal to the manager terminal via the server based on the inspection information input through the user terminal.

[0017] Additionally, preferably, the real-time process data-based intelligent production and quality control system further comprises a risk notification step in which, after the daily inspection information provision step, the field detection terminal receives risk information, which is one or more of the location information of the user terminal, temperature, humidity, hazardous gas concentration, smoke detection, and noise, and if the risk information exceeds a preset value, the risk is notified to the user terminal and the administrator terminal through the server.

[0018] Additionally, preferably, the basic checklist generation step further comprises a risk checklist generation step in which the server adds an additional checklist based on the risk information. Effects of the invention

[0019] The present invention can have the effect of intelligently controlling production planning and quality control activities based on various process data generated at the site, collected, stored, and processed in real time.

[0020] In other words, according to the present invention, the operating status of the production line can be monitored in real time, and abnormal conditions or signs can be detected early and responded to quickly.

[0021] In addition, the present invention enables statistical and visual analysis of production and quality based on accumulated data.

[0022] As a result, the present invention can have the effect of intuitively providing production efficiency and process stability.

[0023] Additionally, according to the present invention, by establishing a data-based decision-making system, it is possible to have the effect of simultaneously improving production efficiency and process stability. Brief explanation of the drawing

[0024] FIG. 1 is a conceptual diagram illustrating a real-time process data-based intelligent production and quality control system according to an embodiment of the present invention, and FIG. 2 is a block diagram of the configuration of a user terminal according to an embodiment of the present invention, and FIG. 3 is a block diagram of the configuration of a server according to an embodiment of the present invention, and FIG. 4 is a block diagram of the configuration of an administrator terminal according to an embodiment of the present invention, and FIG. 5 is a schematic flowchart of a control method for an intelligent production quality control system based on real-time process data according to an embodiment of the present invention, and FIG. 6 is a detailed flowchart of a control method for an intelligent production quality control system based on real-time process data according to an embodiment of the present invention, and FIG. 7a is a schematic flowchart of the step of serially providing daily inspection information among the control methods of an intelligent production quality control system based on real-time process data according to an embodiment of the present invention when a server intends to provide daily inspection information, and FIG. 7b is a schematic flowchart of the step of providing daily inspection information in parallel among the control method of an intelligent production quality control system based on real-time process data according to an embodiment of the present invention when the server intends to provide daily inspection information, and FIG. 8 is a specific flowchart for the step of providing daily inspection information among the control methods of an intelligent production quality control system based on real-time process data according to an embodiment of the present invention when the server intends to provide daily inspection information, and FIG. 9 is a usage state diagram of an intelligent production quality control system based on real-time process data according to an embodiment of the present invention, and FIG. 10 is a schematic flowchart of the step of providing re-inspection information among the control methods of an intelligent production quality control system based on real-time process data according to an embodiment of the present invention when the server intends to provide re-inspection information, and FIG. 11 is a specific flowchart for the step of providing re-inspection information among the control methods of an intelligent production quality control system based on real-time process data according to an embodiment of the present invention when the server intends to provide re-inspection information, and FIG. 12 is a schematic flowchart of a step for controlling a template in a control method of an intelligent production quality control system based on real-time process data according to an embodiment of the present invention, when selecting and sending an email of the same form through an administrator terminal. FIG. 13 is a specific flowchart for the step of controlling a template in a control method of an intelligent production quality control system based on real-time process data according to an embodiment of the present invention, when selecting and sending an email of the same form through an administrator terminal. FIG. 14 is a usage state diagram of an intelligent production quality control system based on real-time process data that controls a template through a manager terminal according to an embodiment of the present invention, and FIG. 15 is a schematic flowchart of a step for predicting inspection information among the control methods of an intelligent production quality control system based on real-time process data according to an embodiment of the present invention when a server intends to predict daily inspections, and FIG. 16 is a specific flowchart for the step of predicting inspection information among the control methods of an intelligent production quality control system based on real-time process data according to an embodiment of the present invention when a server intends to predict daily inspections, and FIG. 17 is a schematic flowchart of the step of generating an automatic checklist among the control methods of an intelligent production quality control system based on real-time process data according to an embodiment of the present invention, when a server predicts a daily inspection and intends to generate an automatic checklist. FIG. 18 is a specific flowchart for the step of generating an automatic checklist among the control methods of an intelligent production quality control system based on real-time process data according to an embodiment of the present invention, when a server predicts a daily inspection and intends to generate an automatic checklist. FIG. 19 is a conceptual diagram illustrating a control method of an intelligent production quality control system based on real-time process data including a field detection terminal according to an additional embodiment of the present invention, and FIG. 20 is a block diagram of the configuration of a field detection terminal according to an embodiment of the present invention, and FIG. 21 is a schematic flowchart of a control method for an intelligent production quality control system based on real-time process data including a field detection terminal according to an additional embodiment of the present invention, and FIG. 22 is a detailed flowchart of a control method for an intelligent production quality control system based on real-time process data including a field detection terminal according to an additional embodiment of the present invention. Specific details for implementing the invention

[0025] The advantages and features of the present invention and the methods for achieving them will become clear by referring to the embodiments described in detail below together with the accompanying drawings.

[0026] However, the present invention is not limited to the embodiments disclosed below but can be implemented in various different forms, and these embodiments are provided merely to ensure that the disclosure of the present invention is complete and to fully inform those skilled in the art of the scope of the invention, and the scope of the rights of the present invention is defined by the claims.

[0027] Furthermore, the terms used in this specification are for describing the embodiments and are not intended to limit the invention.

[0028] In this specification, the singular form includes the plural form unless specifically stated otherwise in the text. As used in this specification, "comprised" and / or "comprising" do not exclude the presence or addition of components other than those mentioned.

[0029] Unless otherwise defined, all terms used in this specification (including technical and scientific terms) may be used in a meaning that is commonly understood by those skilled in the art to which the present invention belongs.

[0030] The present invention relates to a control method (S1000) for an intelligent production quality control system based on real-time process data, and more specifically, to a technology that provides an intelligent production quality control system based on real-time process data collected from a user's input information and / or a user terminal.

[0031] The user terminal (100) described in this specification may include a smartphone, laptop, computer, tablet, wearable device, PDA (personal Digital Assistant), PMP (Portable Multimedia Player), navigation, etc. However, it will be readily apparent to those skilled in the art that the configuration according to the embodiment described in this specification may also be applied to fixed terminals such as digital TVs, desktops, computers, etc., except in cases where it is applicable only to mobile terminals.

[0032] FIG. 1 is a conceptual diagram illustrating a real-time process data-based intelligent production and quality control system according to an embodiment of the present invention, FIG. 2 is a block diagram of the configuration of a user terminal according to an embodiment of the present invention, FIG. 3 is a block diagram of the configuration of a server according to an embodiment of the present invention, and FIG. 4 is a block diagram of the configuration of an administrator terminal according to an embodiment of the present invention.

[0033] As illustrated in FIG. 1, an intelligent production quality control system (1000) based on real-time process data may include a user terminal (100), a server (200), and an administrator terminal (300).

[0034] The above user terminal (100) is configured to receive process data from a user at the work site.

[0035] The server (200) is configured to communicate with the user terminal (100) and the administrator terminal (300), and provides the user with an intelligent production and quality control system (1000) based on real-time process data. As a result, the server (200) is configured to control the intelligent production and quality control system (1000) based on real-time process data in its entirety.

[0036] The above-mentioned administrator terminal (300) is configured to receive inspection information, which is information requiring verification of at least one process site provided by the above-mentioned server (200), and output it to the administrator.

[0037] The above-described intelligent production and quality control system (1000) based on real-time process data enables the user to receive the above-described intelligent production and quality control system (1000) based on real-time process data by using the above components and their sub-components.

[0038] As illustrated in FIG. 2, the user terminal (100) may include an input unit (110), a sensing unit (120), a communication unit (130), an output unit (140), a memory unit (150), a power supply unit (160), a control unit (170), an interface unit (180), etc., and since the components illustrated in FIG. 2 are not essential, a user terminal (100) having more components or fewer components may be implemented.

[0039] In addition, the user terminal (100) is linked with a cloud storage and edge computing environment, so that data can be remotely stored and managed through a network.

[0040] For example, AWS S3, Google Drive, Microsoft OneDrive, iCloud, Dropbox, etc., and the user terminal (100) can improve the security, accessibility, and scalability of data by utilizing these web-based storage and distributed storage technologies.

[0041] Below, the above components will be examined in turn.

[0042] The input unit (110) is for inputting audio or video signals and may include a camera (111), a microphone (112), a user input unit (113), etc.

[0043] The camera (111) can process image frames, such as still images or video, obtained by an image sensor in a video call mode or a shooting mode, and the processed image frames can be displayed on a display unit (141).

[0044] The image frame processed by the camera (111) can be stored in the memory unit (150) or transmitted externally through the communication unit (130), and two or more cameras (111) may be provided depending on the usage environment.

[0045] The above microphone (112) can receive an external acoustic signal via a microphone in a call mode, recording mode, voice recognition mode, etc., and process it into electrical voice data. In the case of a call mode, the processed voice data can be converted into a form that can be transmitted to a mobile communication base station through a mobile communication module and output.

[0046] Various noise removal algorithms can be implemented in the microphone (112) to remove noise generated during the process of receiving an external acoustic signal.

[0047] The user input unit (113) generates input data for the user to control the operation of the terminal, and the user input unit (113) may be composed of a keypad, a dome switch, a touch pad (pressure / capacitive), a jog wheel, a jog switch, etc. In particular, the user input unit (113) may be configured to receive text information.

[0048] Meanwhile, the sensing unit (120) may include an illuminance sensor (121), a proximity sensor (122), a gyroscope sensor (123), an accelerometer sensor (124), etc.

[0049] The communication unit (130) may include one or more modules that enable wired and wireless communication between the user terminal (100) and a wired and wireless communication system or between the user terminal (100) and a network where the user terminal (100) is located. For example, the communication unit (130) may include a mobile communication module (131), a short-range communication module (132), a location information module (133), etc.

[0050] The above mobile communication module (131) can transmit and receive at least one wireless signal among a base station, an external terminal, and a server on a mobile communication network, and the wireless signal may include various forms of data such as voice call signals, video call signals, or text / multimedia message transmission and reception.

[0051] The above short-range communication module (132) refers to a module that enables wireless communication of the user terminal (100), and wireless internet technologies such as Bluetooth, NFC (Near Field Communication), UWB (Ultra-Wideband), Wi-Fi Direct, Thread, Matter, etc. may be used, and based on characteristics such as low power consumption, high-speed data transmission, and enhanced security, it can support seamless connection between IoT (Internet of Things) devices, smartphones, wearable devices, and smart home systems.

[0052] The above location information module (133) is a module for obtaining the location of the user terminal (100), and examples thereof include GSS (Global Navigation Satellites System), GPS (Global Positioning System), etc.

[0053] The output unit (140) is intended to generate output related to sight, hearing, or touch, and may include a display unit (141), a sound output unit (142), a haptic module (143), etc.

[0054] The above display unit (141) can display (output) information processed by the user terminal (100), and, for example, when the user terminal (100) is in a shooting mode for analyzing the user's sleeping posture, it can display a UI (User Interface) or GUI (Graphic User Interface) related to shooting or video.

[0055] The above display unit (141) may include an organic light-emitting diode, low-temperature polycrystalline silicon, a TFT display, an oxide TFT display, a micro light-emitting diode, a quantum dot light-emitting diode, a flexible display, a transparent display, etc.

[0056] The above sound output unit (142) can output audio data received from the communication unit (130) or stored in the memory unit (150) in call signal reception, call mode or recording mode, voice recognition mode, broadcast reception mode, etc. The sound output unit (142) may also output sound signals related to functions performed on the user terminal (100) (e.g., call signal reception sound, message reception sound, etc.). The sound output unit (142) may include a receiver, a speaker, a buzzer, etc.

[0057] The haptic module (143) above generates various tactile effects that the user can feel. Representative examples of tactile effects generated by the haptic module (143) include vibration, and the intensity and pattern of the generated vibration can be controlled.

[0058] In addition, the haptic module (143) can be implemented to not only transmit tactile effects through direct contact, but also allow the user to feel tactile effects through the sense of touch of fingers or arms, and two or more haptic modules (143) may be provided depending on the configuration of the user terminal (100).

[0059] The memory unit (150) can store a program for the operation of the control unit (170) and can also temporarily store input / output data.

[0060] More specifically, the above input / output data includes phones, books, messages, still images, videos, etc.

[0061] The memory unit (150) can store data regarding various patterns of vibration and sound output when a touch input is made on the touchscreen, and the memory unit (150) can store various control variables, and can store a length determination value and a spacing determination value of the light-blocking part of the barrier layer corresponding to the distance between the display unit (141), and a displacement determination value corresponding to the deflection angle formed by the position of the center of the observer's eyes with respect to the vertical center axis of the display unit (141).

[0062] More specifically, the memory unit (150) may include storage media types such as NAND Flash Memory, UFS (Universal Flash Storage), NVMe (Non-Volatile Memory Express) SSD, eMMC (Embedded MultiMediaCard), LPDDR (Low Power Double Data Rate) RAM, GDDR (Graphics Double Data Rate) memory, MRAM (Magneto Resistive RAM), PRAM (Phase-Change RAM), FRAM (Ferroelectric RAM), ReRAM (Resistive RAM), and NVM (Non-Volatile Memory) technology-based storage.

[0063] In addition, the power supply unit (160) can receive external power and internal power under the control of the control unit (170) and supply power necessary for the operation of each component.

[0064] The above control unit (170) can typically control the overall operation of the mobile terminal and can perform related control and processing for, for example, voice calls, data communication, video calls, etc.

[0065] The control unit (170) can perform pattern recognition processing to recognize handwriting input or drawing input performed on the touchscreen as characters and images, respectively.

[0066] The interface unit (180) serves as a passage for all external devices connected to the user terminal (100). The interface unit (180) receives data from an external device, receives power and transmits it to each component inside the user terminal (100), or allows data inside the user terminal (100) to be transmitted to an external device.

[0067] More specifically, the interface section (180) may include a wired / wireless headset port, an external charger port, a wired / wireless data port, a memory card port, a device equipped with an identification module, a connection port, an audio I / O (Input / Output) port, a video I / O (Input / Output) port, an earphone port, etc.

[0068] The various embodiments described herein may be implemented, for example, in a recording medium readable by a computer or similar device using software, hardware, or a combination thereof.

[0069] Next, the server (200) communicates with the user terminal (100) and enables the user to control the control method (1000) of the intelligent production quality control system based on real-time process data.

[0070] All or some of the detailed components of the user terminal (100) described above with reference to FIG. 2 may be included in the server (200) in the same or similar manner. As shown in FIG. 2, the user terminal (100) may include an input unit (110), a sensing unit (120), a communication unit (130), an output unit (140), a memory unit (150), a power supply unit (160), a control unit (170), an interface unit (180), etc. Since the components shown in FIG. 2 are not essential, a user terminal (100) having more components or fewer components may be implemented.

[0071] In addition, the user terminal (100) is linked with a cloud storage and edge computing environment, so that data can be remotely stored and managed through a network.

[0072] For example, AWS S3, Google Drive, Microsoft OneDrive, iCloud, Dropbox, etc., and the user terminal (100) can improve the security, accessibility, and scalability of data by utilizing these web-based storage and distributed storage technologies.

[0073] Below, the above components will be examined in turn.

[0074] The input unit (110) is for inputting audio or video signals and may include a camera (111), a microphone (112), a user input unit (113), etc.

[0075] The camera (111) can process image frames, such as still images or video, obtained by an image sensor in a video call mode or a shooting mode, and the processed image frames can be displayed on a display unit (141).

[0076] The image frame processed by the camera (111) can be stored in the memory unit (150) or transmitted externally through the communication unit (130), and two or more cameras (111) may be provided depending on the usage environment.

[0077] The above microphone (112) can receive an external acoustic signal via a microphone in a call mode, recording mode, voice recognition mode, etc., and process it into electrical voice data. In the case of a call mode, the processed voice data can be converted into a form that can be transmitted to a mobile communication base station through a mobile communication module and output.

[0078] Various noise removal algorithms can be implemented in the microphone (112) to remove noise generated during the process of receiving an external acoustic signal.

[0079] The user input unit (113) generates input data for the user to control the operation of the terminal, and the user input unit (113) may be composed of a keypad, a dome switch, a touch pad (pressure / capacitive), a jog wheel, a jog switch, etc. In particular, the user input unit (113) may be configured to receive text information.

[0080] Meanwhile, the sensing unit (120) may include an illuminance sensor (121), a proximity sensor (122), a gyroscope sensor (123), an accelerometer sensor (124), etc.

[0081] The communication unit (130) may include one or more modules that enable wired and wireless communication between the user terminal (100) and a wired and wireless communication system or between the user terminal (100) and a network where the user terminal (100) is located. For example, the communication unit (130) may include a mobile communication module (131), a short-range communication module (132), a location information module (133), etc.

[0082] The above mobile communication module (131) can transmit and receive at least one wireless signal among a base station, an external terminal, and a server on a mobile communication network, and the wireless signal may include various forms of data such as voice call signals, video call signals, or text / multimedia message transmission and reception.

[0083] The above short-range communication module (132) refers to a module that enables wireless communication of the user terminal (100), and wireless internet technologies such as Bluetooth, NFC (Near Field Communication), UWB (Ultra-Wideband), Wi-Fi Direct, Thread, Matter, etc. may be used, and based on characteristics such as low power consumption, high-speed data transmission, and enhanced security, it can support seamless connection between IoT (Internet of Things) devices, smartphones, wearable devices, and smart home systems.

[0084] The above location information module (133) is a module for obtaining the location of the user terminal (100), and examples thereof include GSS (Global Navigation Satellites System), GPS (Global Positioning System), etc.

[0085] The output unit (140) is intended to generate output related to sight, hearing, or touch, and may include a display unit (141), a sound output unit (142), a haptic module (143), etc.

[0086] The above display unit (141) can display (output) information processed by the user terminal (100), and, for example, when the user terminal (100) is in a shooting mode for analyzing the user's sleeping posture, it can display a UI (User Interface) or GUI (Graphic User Interface) related to shooting or video.

[0087] The above display unit (141) may include an organic light-emitting diode, low-temperature polycrystalline silicon, a TFT display, an oxide TFT display, a micro light-emitting diode, a quantum dot light-emitting diode, a flexible display, a transparent display, etc.

[0088] The above sound output unit (142) can output audio data received from the communication unit (130) or stored in the memory unit (150) in call signal reception, call mode or recording mode, voice recognition mode, broadcast reception mode, etc. The sound output unit (142) may also output sound signals related to functions performed on the user terminal (100) (e.g., call signal reception sound, message reception sound, etc.). The sound output unit (142) may include a receiver, a speaker, a buzzer, etc.

[0089] The haptic module (143) above generates various tactile effects that the user can feel. Representative examples of tactile effects generated by the haptic module (143) include vibration, and the intensity and pattern of the generated vibration can be controlled.

[0090] In addition, the haptic module (143) can be implemented to not only transmit tactile effects through direct contact, but also allow the user to feel tactile effects through the sense of touch of fingers or arms, and two or more haptic modules (143) may be provided depending on the configuration of the user terminal (100).

[0091] The memory unit (150) can store a program for the operation of the control unit (170) and can also temporarily store input / output data.

[0092] More specifically, the above input / output data includes phones, books, messages, still images, videos, etc.

[0093] The memory unit (150) can store data regarding various patterns of vibration and sound output when a touch input is made on the touchscreen, and the memory unit (150) can store various control variables, and can store a length determination value and a spacing determination value of the light-blocking part of the barrier layer corresponding to the distance between the display unit (141), and a displacement determination value corresponding to the deflection angle formed by the position of the center of the observer's eyes with respect to the vertical center axis of the display unit (141).

[0094] More specifically, the memory unit (150) may include storage media types such as NAND Flash Memory, UFS (Universal Flash Storage), NVMe (Non-Volatile Memory Express) SSD, eMMC (Embedded MultiMediaCard), LPDDR (Low Power Double Data Rate) RAM, GDDR (Graphics Double Data Rate) memory, MRAM (Magneto Resistive RAM), PRAM (Phase-Change RAM), FRAM (Ferroelectric RAM), ReRAM (Resistive RAM), and NVM (Non-Volatile Memory) technology-based storage.

[0095] In addition, the power supply unit (160) can receive external power and internal power under the control of the control unit (170) and supply power necessary for the operation of each component.

[0096] The above control unit (170) can typically control the overall operation of the mobile terminal and can perform related control and processing for, for example, voice calls, data communication, video calls, etc.

[0097] The control unit (170) can perform pattern recognition processing to recognize handwriting input or drawing input performed on the touchscreen as characters and images, respectively.

[0098] The interface unit (180) serves as a passage for all external devices connected to the user terminal (100). The interface unit (180) receives data from an external device, receives power and transmits it to each component inside the user terminal (100), or allows data inside the user terminal (100) to be transmitted to an external device.

[0099] More specifically, the interface section (180) may include a wired / wireless headset port, an external charger port, a wired / wireless data port, a memory card port, a device equipped with an identification module, a connection port, an audio I / O (Input / Output) port, a video I / O (Input / Output) port, an earphone port, etc.

[0100] The various embodiments described herein may be implemented, for example, in a recording medium readable by a computer or similar device using software, hardware, or a combination thereof.

[0101] Next, the server (200) communicates with the user terminal (100) and the administrator terminal (300) to enable the user to control the control method (1000) of the intelligent production quality control system based on real-time process data.

[0102] All or some of the detailed components of the user terminal (100) described above with reference to FIG. 2 may be included in the server (200) and the administrator terminal (300) in the same or similar manner.

[0103] As illustrated in FIG. 3, the server (200) is configured to be connected via wired and / or wireless communication with the user terminal (100) and the administrator terminal (300), and is configured to exchange various information input from the user terminal (100) and the administrator terminal (300) and to generate new information based on this.

[0104] As illustrated in FIG. 3, the server (200) may include an input unit (210), a communication unit (220), a database (230), a control unit (240), etc., and since the components illustrated in FIG. 3 are not essential, the server (200) may be implemented with more components or fewer components.

[0105] The input unit (210) of the service server (200) may include a camera (211), a microphone (212), a touchpad (213), a keypad (214), etc., and the components shown in FIG. 3 are not essential, so the user terminal (100) and administrator terminal (300) may be implemented with more components or fewer components.

[0106] The communication unit (220) performs the role of mediating wired / wireless communication between the user terminal (100) and the administrator terminal (300), and may include one or more communication modules that enable smooth data transmission between them. The communication unit (220) supports various network protocols such as mobile communication networks (5G, LTE, etc.), Wi-Fi, Bluetooth, NFC (Near Field Communication), UWB (Ultra-Wideband), and wired Ethernet, thereby ensuring a smooth connection between the user terminal (100) and the server (200).

[0107] The above database (230) performs the role of storing all information received by the service server (200) from the user terminal (100) and the administrator terminal (300), and is characterized by including result data analyzed based on the acquired information beyond simple data storage.

[0108] In addition, the database (230) may utilize relational databases (RDEMS), NoSQL databases, distributed file systems (DFS), and cloud-based data storage to support high-speed search and real-time data processing, and can smoothly perform data exchange between the user, construction company, and designer through integration with the service server (200).

[0109] In addition, the server (200) can utilize a cloud-based infrastructure for large-scale data processing and analysis, and can provide an intelligent production quality control system (1000) based on various real-time process data by applying artificial intelligence (AI) and machine learning algorithms.

[0110] Other configurations and features of the above server (200) may include elements similar to the configuration of the above user terminal (100) and may be designed to provide extended computation and data processing functions.

[0111] All or some of the detailed components of the administrator terminal (300) described above with reference to FIG. 4 may be included in the user terminal (100) and server (200) in the same or similar manner. As shown in FIG. 4, the administrator terminal (300) may include an input unit (310), a sensing unit (320), a communication unit (330), an output unit (340), a memory unit (350), a power supply unit (360), a control unit (370), an interface unit (380), etc. Since the components shown in FIG. 4 are not essential, an administrator terminal (300) having more or fewer components may be implemented.

[0112] In addition, the above-mentioned administrator terminal (300) is linked with a cloud storage and edge computing environment, so that data can be remotely stored and managed through a network.

[0113] For example, AWS S3, Google Drive, Microsoft OneDrive, iCloud, Dropbox, etc., and the above-mentioned administrator terminal (300) can improve the security, accessibility, and scalability of data by utilizing these web-based storage and distributed storage technologies.

[0114] Below, the above components will be examined in turn.

[0115] The input section (310) is for inputting audio or video signals and may include a camera (311), a microphone (312), a user input section (313), etc.

[0116] The camera (311) can process image frames, such as still images or video, obtained by an image sensor in a video call mode or shooting mode, and the processed image frames can be displayed on a display unit (341).

[0117] The image frame processed by the camera (311) can be stored in the memory unit (350) or transmitted externally through the communication unit (330), and two or more cameras (311) may be provided depending on the usage environment.

[0118] The above microphone (312) can receive an external acoustic signal via a microphone in call mode, recording mode, voice recognition mode, etc., and process it into electrical voice data. In the case of call mode, the processed voice data can be converted into a form that can be transmitted to a mobile communication base station through a mobile communication module and output.

[0119] Various noise removal algorithms can be implemented in the microphone (312) to remove noise generated during the process of receiving an external acoustic signal.

[0120] The user input unit (313) generates input data for the user to control the operation of the terminal, and the user input unit (313) may be composed of a keypad, a dome switch, a touch pad (pressure / capacitive), a jog wheel, a jog switch, etc. In particular, the user input unit (313) may be configured to receive text information.

[0121] Meanwhile, the sensing unit (320) may include an illuminance sensor (321), a proximity sensor (322), a gyroscope sensor (323), an accelerometer sensor (324), etc.

[0122] The communication unit (330) may include one or more modules that enable wired and wireless communication between the administrator terminal (300) and a wired and wireless communication system or between the administrator terminal (300) and a network where the administrator terminal (300) is located. For example, the communication unit (330) may include a mobile communication module (331), a short-range communication module (332), a location information module (333), etc.

[0123] The above mobile communication module (331) can transmit and receive at least one wireless signal among a base station, an external terminal, and a server on a mobile communication network, and the wireless signal may include various forms of data such as voice call signals, video call signals, or text / multimedia message transmission and reception.

[0124] The above short-range communication module (332) refers to a module that enables wireless communication of the above administrator terminal (300), and wireless internet technologies such as Bluetooth, NFC (Near Field Communication), UWB (Ultra-Wideband), Wi-Fi Direct, Thread, Matter, etc. may be used, and based on characteristics such as low power consumption, high-speed data transmission, and enhanced security, it can support seamless connection between IoT (Internet of Things) devices, smartphones, wearable devices, and smart home systems.

[0125] The above location information module (333) is a module for obtaining the location of the above administrator terminal (300), and examples thereof include GSS (Global Navigation Satellites System), GPS (Global Positioning System), etc.

[0126] The above output unit (340) is intended to generate output related to sight, hearing, or touch, and may include a display unit (341), a sound output unit (342), a haptic module (343), etc.

[0127] The above display unit (341) can display (output) information processed by the administrator terminal (300), and for example, when the administrator terminal (300) is in a shooting mode for analyzing the user's sleeping posture, it can display a UI (User Interface) or GUI (Graphic User Interface) related to shooting or video.

[0128] The above display unit (341) may include an organic light-emitting diode, low-temperature polycrystalline silicon, a TFT display, an oxide TFT display, a micro light-emitting diode, a quantum dot light-emitting diode, a flexible display, a transparent display, etc.

[0129] The above sound output unit (342) can output audio data received from the communication unit (330) or stored in the memory unit (350) in call signal reception, call mode or recording mode, voice recognition mode, broadcast reception mode, etc. The sound output unit (342) may also output sound signals related to functions performed on the user terminal (100) (e.g., call signal reception sound, message reception sound, etc.). This sound output unit (342) may include a receiver, a speaker, a buzzer, etc.

[0130] The above haptic module (343) generates various tactile effects that the user can feel. Representative examples of tactile effects generated by the above haptic module (343) include vibration, and the intensity and pattern of the generated vibration can be controlled.

[0131] In addition, the haptic module (343) can be implemented to not only transmit tactile effects through direct contact, but also allow the user to feel tactile effects through the sense of touch of fingers or arms, and two or more haptic modules (343) may be provided depending on the configuration of the user terminal (100).

[0132] The memory unit (350) can store a program for the operation of the control unit (370) and can also temporarily store input / output data.

[0133] More specifically, the above input / output data includes phones, books, messages, still images, videos, etc.

[0134] The memory unit (350) can store data regarding various patterns of vibration and sound output when a touch input is made on the touchscreen, and the memory unit (350) can store various control variables, and can store a length determination value and a spacing determination value of the light-blocking part of the barrier layer corresponding to the distance between the display unit (341), and a displacement determination value corresponding to the deflection angle formed by the position of the center of the observer's eyes with respect to the vertical center axis of the display unit (341).

[0135] More specifically, the memory unit (350) may include storage media types such as NAND Flash Memory, UFS (Universal Flash Storage), NVMe (Non-Volatile Memory Express) SSD, eMMC (Embedded MultiMediaCard), LPDDR (Low Power Double Data Rate) RAM, GDDR (Graphics Double Data Rate) memory, MRAM (Magneto Resistive RAM), PRAM (Phase-Change RAM), FRAM (Ferroelectric RAM), ReRAM (Resistive RAM), and NVM (Non-Volatile Memory) technology-based storage.

[0136] In addition, the power supply unit (360) can receive external power and internal power under the control of the control unit (370) and supply power necessary for the operation of each component.

[0137] The above control unit (370) can typically control the overall operation of the mobile terminal and can perform related control and processing for, for example, voice calls, data communication, video calls, etc.

[0138] The control unit (370) can perform pattern recognition processing to recognize handwriting input or drawing input performed on the touchscreen as characters and images, respectively.

[0139] The interface unit (380) serves as a passage for all external devices connected to the administrator terminal (300). The interface unit (380) receives data from external devices, supplies power to deliver it to each component inside the administrator terminal (300), or allows data inside the administrator terminal (300) to be transmitted to external devices.

[0140] More specifically, the interface section (380) may include a wired / wireless headset port, an external charger port, a wired / wireless data port, a memory card port, a device equipped with an identification module, a connection port, an audio I / O (Input / Output) port, a video I / O (Input / Output) port, an earphone port, etc.

[0141] The various embodiments described herein may be implemented, for example, in a recording medium readable by a computer or similar device using software, hardware, or a combination thereof.

[0142] Next, the administrator terminal (300) communicates with the user terminal (100) and the server (200) to enable the user to control the control method (1000) of the intelligent production quality control system based on real-time process data.

[0143] All or some of the detailed components of the administrator terminal (300) described above with reference to FIG. 4 may be included in the user terminal (100) and server (200) in the same or similar manner.

[0144] Hereinafter, with reference to FIGS. 1 to 4, a real-time process data-based intelligent production quality control system (1000) that controls the real-time process data-based intelligent production quality control system (1000) using the components included in the real-time process data-based intelligent production quality control system (1000) and the sub-components thereof will be described in detail.

[0145] Next, with reference to FIGS. 5 to 8, the sequence of operations for the control method of the intelligent production quality control system based on real-time process data according to the present invention will be explained in more detail.

[0146] FIG. 5 is a schematic flowchart of a control method for an intelligent production quality control system based on real-time process data according to an embodiment of the present invention, FIG. 6 is a detailed flowchart of a control method for an intelligent production quality control system based on real-time process data according to an embodiment of the present invention, FIG. 7a is a schematic flowchart of a step of providing daily inspection information serially among the control method for an intelligent production quality control system based on real-time process data according to an embodiment of the present invention when the server intends to provide daily inspection information, FIG. 7b is a schematic flowchart of a step of providing daily inspection information in parallel among the control method for an intelligent production quality control system based on real-time process data according to an embodiment of the present invention when the server intends to provide daily inspection information, and FIG. 8 is a detailed flowchart of a step of providing daily inspection information among the control method for an intelligent production quality control system based on real-time process data according to an embodiment of the present invention when the server intends to provide daily inspection information.

[0147] As illustrated in FIG. 5, the control method (S1000) of the intelligent production quality control system based on real-time process data includes a basic checklist generation step (S10), an inspection information input step (S20), an inspection information storage step (S30), an inspection information judgment step (S40), an inspection need notification step (S50), an inspection information re-input step (S60), an inspection information update step (S70), an inspection information re-judgment step (S80), and an inspection result provision step (S90).

[0148] Specifically, the control method (S1000) of the intelligent production quality control system based on real-time process data comprises: a basic checklist generation step (S10) of generating a checklist of inspection information through the user terminal (100); an inspection information input step (S20) of inputting the inspection information into the checklist generated in the basic checklist generation step through the user terminal (100); an inspection information storage step (S30) in which the server (200) receives the inspection information inputted in the inspection information input step and stores it in the server; an inspection information judgment step (S40) in which the server (200) classifies and judges the inspection information based on the inspection information received in the inspection information storage step; an inspection need notification step (S50) in which the server (200), if it judges that action is needed for the inspection information based on the inspection information judgment step, notifies the user terminal (100) that action is needed; and an inspection information re-input step (S60) in which the inspection information is re-inputted by conducting a re-inspection through the user terminal (100). The above server (200) may include an inspection information update step (S70) in which it receives the inspection information entered in the inspection information re-entry step and updates and stores the inspection information; an inspection result re-evaluation step (S80) in which the above server (200) reclassifies and re-evaluates the inspection information received in the inspection information update step and controls the process to proceed to the inspection need notification step if necessary; and an inspection result provision step (S90) in which, if the above server (200) determines that no inspection is needed, it distributes and provides the inspection information through the user terminal (100) and the administrator terminal (300).

[0149] The present invention is configured to provide an intelligent production quality control system (1000) based on real-time process data as described above, so that the user terminal (100) and the manager terminal (300) can be used to automate inspection tasks, standardize them, check the quality status in real time, and enable immediate response.

[0150] That is, the present invention can provide the effect of improving the reliability and suitability of inspection information through the intelligent production quality control system (1000) based on real-time process data.

[0151] In addition, the present invention can provide the effect of reducing the defect rate by having the server (200) automatically classify and determine the inspection results.

[0152] Additionally, the present invention can provide the effect of improving process stability and reducing worker errors by having the server (200) determine risks in real time, provide immediate notifications when an abnormality occurs, and perform re-inspection.

[0153] Furthermore, the present invention can provide the effect of improving production efficiency by allowing the server (200) to store records, manage history, ensure transparency, control quality in real time through repetitive re-evaluation, and facilitate smooth communication between the user and the manager through the user terminal (100) and the manager terminal (300).

[0154] FIG. 7a is a schematic flowchart of the step of providing daily inspection information serially in the control method of an intelligent production quality control system based on real-time process data according to an embodiment of the present invention when the server intends to provide daily inspection information, FIG. 7b is a schematic flowchart of the step of providing daily inspection information in parallel in the control method of an intelligent production quality control system based on real-time process data according to an embodiment of the present invention when the server intends to provide daily inspection information, and FIG. 8 is a detailed flowchart of the step of providing daily inspection information in the control method of an intelligent production quality control system based on real-time process data according to an embodiment of the present invention when the server intends to provide daily inspection information.

[0155] As illustrated in FIGS. 7a to 8, when the server (200) intends to provide daily inspection information, the control method (S1000) of the real-time process data-based intelligent production quality control system may further include a daily inspection information generation step (S101), a daily inspection information storage step (S102), and a daily inspection information provision step (S103) after the inspection result provision step (S90).

[0156] More specifically, the daily inspection information generation step (S101) is characterized in that the server (200) generates daily inspection information based on the history of the inspection information stored in the server (200).

[0157] More specifically, the daily inspection information storage step (S102) is characterized by the server (200) storing the daily inspection information.

[0158] More specifically, the inspection information provision step (S103) is characterized by providing the daily inspection information stored by the server (200) to the administrator terminal (300).

[0159] More specifically, the daily inspection information generation step (S101), daily inspection information storage step (S102), and daily inspection information provision step (S103) are performed by selecting either a method of performing them sequentially in series on the server or a method of performing them simultaneously in parallel.

[0160] Through this, the server (200) can automatically generate a daily inspection status, thereby providing the effect of automatically organizing and summarizing the daily process inspection status.

[0161] In addition, the administrator can directly check daily inspection information through the administrator terminal (300), thereby providing the effect of improving the administrator's access to information.

[0162] Additionally, since the server (200) generates and stores information on a daily basis, the daily inspection history is accumulated in an organized form over the long term, thereby providing the effect of facilitating quality history management.

[0163] Furthermore, the process of generating, saving, and providing daily inspection information is performed automatically, which can provide the effect of automating daily inspection reports that were previously written repeatedly by humans.

[0164] Finally, by selectively using serial and parallel processing methods, it is possible to apply an optimized processing method based on the system's load, speed, and responsiveness, thereby providing the effect of ensuring processing flexibility.

[0165] FIG. 9 is a usage state diagram of an intelligent production quality control system based on real-time process data according to one embodiment of the present invention.

[0166] Referring to FIG. 9, the intelligent production quality control system based on real-time process data output by the user terminal (100) will be described in more detail.

[0167] Figure 9 above may be configured to provide various lists that can be used in the intelligent production quality control system based on real-time process data, such as schedule group, user information, inspection type, process line, inspection target, inspection item, inspection date, process name, and cycle, when the screen of the user terminal (100) is displayed.

[0168] Additionally, the above screen output can be configured to allow a desired list to be selected through the output unit (140) of the user terminal (100) by controlling the input unit (110) of the user terminal (100) through one or more of the drag and drop method or the touch and drag method.

[0169] In this way, when the above screen is displayed, by selecting and verifying the list of inspection information according to the control method of the user terminal (100), a user experience with improved intuitiveness and convenience when selecting the inspection information can be provided.

[0170] In particular, the selected inspection information is enlarged and displayed on the output unit (140) of the user terminal (100), and is characterized by allowing the management standards and inspection results to be checked.

[0171] Through this, the user can easily input management standards and inspection results for the line through the user terminal (100), thereby providing a user experience with improved intuitiveness and convenience during management.

[0172] Finally, when an inspection result is input through a user terminal (100), the input unit (110) is controlled to output an OK or NG status of the inspection result through the output unit (140), and if the status is NG, the inspection details and problems can be checked, and a photo requiring re-inspection is output or a photo after re-inspection is input, thereby providing a user experience with improved intuitiveness and convenience when identifying inspection information.

[0173] Through this, the present invention can provide the effect of improving the intuitiveness of inspection information selection by enabling intuitive selection without complex menu navigation through the output unit (140) of the user terminal (100).

[0174] In addition, the present invention can improve the readability of information by controlling the user terminal (100) to expand the selection list so that management criteria and results can be checked simultaneously.

[0175] Additionally, the present invention can provide the effect of immediately displaying inspection details, problems, and photos through the user terminal (100) and the administrator terminal (300) when an NG occurs, thereby increasing the speed of identifying the cause and allowing for the rapid instruction and execution of re-inspection.

[0176] In addition, the present invention allows a photo requiring re-examination to be input through the user terminal (100), thereby securing visual evidence regarding the problem situation and improving the accuracy of communication between the user and the manager.

[0177] FIG. 10 is a schematic flowchart of the step of providing re-inspection information in the control method of an intelligent production quality control system based on real-time process data according to an embodiment of the present invention when the server intends to provide re-inspection information, and FIG. 11 is a detailed flowchart of the step of providing re-inspection information in the control method of an intelligent production quality control system based on real-time process data according to an embodiment of the present invention when the server intends to provide re-inspection information.

[0178] As illustrated in FIGS. 10 to 11, when the server intends to provide re-inspection information, the control method (S1000) of the real-time process data-based intelligent production quality control system may further include a re-inspection information storage step (S41) and a re-inspection information provision step (S42).

[0179] More specifically, the above server (200) may further include a re-inspection information storage step (S41) which stores re-inspection information, which is one or more of the number of times the inspection information determined in the inspection information judgment step (S40) and the inspection information re-judgment step (S80), the risk level, and the person in charge.

[0180] More specifically, the server (200) may further include a re-inspection information providing step (S42) that provides the re-inspection information stored in the re-inspection information storage step (S41).

[0181] That is, the present invention can provide an effect that facilitates determining the cause of a problem by having the server (200) store the number of repeated inspections, risk level, etc., through a re-inspection information storage step (S41) that stores the re-inspection information, and thereby provide an effect that allows the administrator to quickly make a priority response decision.

[0182] In addition, the present invention can provide the effect of quickly identifying chronic defects and continuous problematic processes by enabling the server (200) to clearly identify recurring problems by checking the re-inspection information.

[0183] Additionally, the present invention can provide the effect of securing grounds for work improvement, training, reassignment, etc. by enabling the server (200) to analyze which work section or worker repeatedly experiences problems by storing information about the person in charge of the re-inspection information.

[0184] Furthermore, the present invention can provide the effect of enhancing transparency in quality management by enabling data-based decision-making regarding process quality through the server (200) accumulating and storing re-inspection information, thereby clarifying the quality verification of audit reports.

[0185] In addition, the present invention can provide the effect of providing clear re-inspection information by having the server (200) provide clear re-inspection information to the user terminal (100) and the administrator terminal (300), thereby enabling the administrator to immediately identify the cause of the repeated inspection.

[0186] FIG. 12 is a schematic flowchart of the step of controlling a template in the control method of an intelligent production quality control system based on real-time process data according to an embodiment of the present invention when selecting and sending an email of the same type through a manager terminal; FIG. 13 is a detailed flowchart of the step of controlling a template in the control method of an intelligent production quality control system based on real-time process data according to an embodiment of the present invention when selecting and sending an email of the same type through a manager terminal; and FIG. 14 is a diagram of the usage state of an intelligent production quality control system based on real-time process data controlling a template through a manager terminal according to an embodiment of the present invention.

[0187] As illustrated in FIGS. 12 and 13, if you want to select and send an email of the same type through the administrator terminal (300), you may further include a template selection step (S21), a template editing step (S22), and a mail transmission step (S23).

[0188] More specifically, the template selection step (S21) may be characterized by selecting a template to repeatedly generate and select emails of the same form through the administrator terminal (300).

[0189] More specifically, the above template editing step (S22) may be characterized by the server (200) controlling the modification of the component for which the template management request was received through the administrator terminal (300) and applying it to output it when the server (200) receives the template management request through the administrator terminal (300).

[0190] More specifically, the email transmission step (S23) may be characterized in that the server (200) determines the components with high usage frequency and the pre-configured components among the components, and then checks the emails through the administrator terminal (300) and transmits them in batches.

[0191] That is, the present invention can provide the effect of reducing email composition time by eliminating the need to repeatedly compose emails of the same form through the template selection step (S21), template editing step (S22), and email transmission step (S23).

[0192] In addition, the present invention allows the server (200) to consistently provide the format, structure, and important phrases of the transmitted email by transmitting the main content of the email based on a template, thereby facilitating learning when using AI, artificial intelligence, or machine learning technologies thereafter, and providing the effect of preventing omissions and errors in the email content.

[0193] Additionally, the present invention can provide the effect of reducing the burden of rewriting the entire email and improving editing efficiency by modifying and transmitting only the necessary components through the administrator terminal (300) when modification of the template is required.

[0194] Furthermore, the present invention can provide the effect of improving the efficiency of an administrator's email creation by enabling the server (200) to determine a frequently used component and automatically recommend and apply frequently used items.

[0195] In addition, the present invention can provide the effect of improving mass communication efficiency by enabling the batch transmission of emails to multiple recipients through the administrator terminal (300).

[0196] Referring to FIG. 14, a real-time process data-based intelligent production quality control system that controls a template through the administrator terminal (300) will be described in more detail.

[0197] Figure 14 above may be provided so that a template can be selected when displaying the screen of the administrator terminal (300).

[0198] More specifically, the server (200) is characterized by being able to select and control the requested template management component (email sending, history, subject, content, recipient list, etc.) on the editing area of ​​the template when a request for template modification is received through the input unit (310) of the administrator terminal (300).

[0199] More specifically, the above server (200) determines which components among the above components have a high usage frequency and which are pre-configured components based on email history sent in the past, and proceeds with recommendations, and then sends emails to other administrator terminals in bulk after verification.

[0200] Through this, the present invention can provide the effect of facilitating the maintenance and management of email templates by allowing multiple templates to be directly selected through the administrator terminal (300).

[0201] In addition, the present invention can select and control components through an administrator terminal (300), thereby providing the effect of maintaining a consistent form and quality of emails written by administrators.

[0202] Additionally, the present invention can provide the effect of reducing writing time and increasing work efficiency by enabling the server (200) to immediately configure frequently used emails based on usage frequency and past history.

[0203] In addition, the present invention can provide the effect of reducing the burden on the manager by allowing the server (200) to learn repetitive work patterns on its own.

[0204] Finally, the present invention can provide the effect of simplifying mass sending tasks by verifying the modified template through the administrator terminal (300) on multiple administrator terminals and sending it in batches.

[0205] FIG. 15 is a schematic flowchart of the step of predicting inspection information in the control method of an intelligent production quality control system based on real-time process data according to an embodiment of the present invention when the server intends to predict daily inspection, and FIG. 16 is a detailed flowchart of the step of predicting inspection information in the control method of an intelligent production quality control system based on real-time process data according to an embodiment of the present invention when the server intends to predict daily inspection.

[0206] With reference to FIGS. 15 and 16, when the server (200) intends to predict daily inspection, a control method of a process data-based intelligent production quality control system according to one embodiment of the present invention will be described in more detail.

[0207] The above figures 15 to 16 are characterized by further including an inspection information prediction step (S110) in which the server (200) analyzes current daily inspection information or previous daily inspection information to analyze the trend of results according to repeated daily inspection information and performs a prediction based on time series information for future daily inspection information.

[0208] More specifically, the server (200) is characterized by analyzing the result trend by analyzing repeated daily inspection information.

[0209] More specifically, the server (200) is characterized by predicting future daily inspection information based on time series information through the result trend.

[0210] More specifically, the method for predicting future daily inspection information based on the above time series information is characterized by predicting future daily inspection information through a preset prediction algorithm.

[0211] For example, the server (200) may apply an ARIMA-intervention-based prediction model to predict future inspection results by analyzing daily inspection information collected from the production process in a time series.

[0212] Through this, the present invention can provide the effect of enabling the server (200) to detect the risk of future defects in advance through an ARIMA-intervention-based prediction model, thereby enabling preemptive measures.

[0213] In addition, the present invention can provide the effect of taking preventive measures before a problem occurs by analyzing past trends and predicting future inspection results.

[0214] Additionally, the present invention can provide the effect of improving the accuracy of cause analysis of process problems by identifying recurring process problem patterns and identifying future long-term patterns.

[0215] Furthermore, the present invention can adjust worker placement, process inspection intensity, and equipment maintenance plans based on predictive data, thereby providing the effect of improving overall process operation efficiency.

[0216] In addition, the present invention allows a manager to make judgments based on predictive data, thereby providing the effect of enabling the manager to make decisions quickly and accurately.

[0217] Finally, the present invention can provide the effect of realizing data-based objective quality control by introducing time series analysis and prediction algorithms.

[0218] FIG. 17 is a schematic flowchart of the step of generating an automatic checklist in the control method of an intelligent production quality control system based on real-time process data according to an embodiment of the present invention when the server predicts a daily inspection and intends to generate an automatic checklist, and FIG. 18 is a detailed flowchart of the step of generating an automatic checklist in the control method of an intelligent production quality control system based on real-time process data according to an embodiment of the present invention when the server predicts a daily inspection and intends to generate an automatic checklist.

[0219] Referring to FIGS. 17 and 18, when the server (200) predicts the daily inspection and intends to automatically generate a checklist, a control method of a process data-based intelligent production quality control system according to an embodiment of the present invention will be described in more detail.

[0220] FIGS. 17 to 18 further include an automatic checklist generation step (S11) in which, when the server (200) intends to generate an automatic checklist, after the basic checklist generation step (S10), the server analyzes the previous daily inspection information and the checklist to automatically generate a checklist of inspection information that is essential to verify.

[0221] More specifically, the automatic checklist generation step (S11) is characterized by obtaining past inspection information obtained in the inspection information prediction step (S110) and determining whether a checklist that is essential to verify has been omitted.

[0222] More specifically, the automatic checklist generation step (S11) may include, for example, items with a high number of repeated checks or a high frequency of NG occurrences as mandatory check targets.

[0223] More specifically, the automatic checklist generation step (S11) may include, for example, items with a high risk level exceeding a preset threshold as mandatory inspection targets.

[0224] More specifically, the automatic checklist generation step (S11) may include, for example, items that have a high risk of future defects among the inspection information obtained in the inspection information prediction step (S110) as mandatory inspection targets.

[0225] Through this, the present invention can provide the effect of reducing gaps in inspection caused by user errors and omissions.

[0226] In addition, the present invention can provide the effect of intensively managing repetitive inspections or high-risk problem processes.

[0227] Additionally, the present invention can provide the effect of improving the reliability of the inspection checklist by increasing the objectivity and consistency of the checklist composition.

[0228] Furthermore, the present invention can provide the effect of enabling efficient and rapid inspection preparation without the need for a manager to design checklists individually.

[0229] Finally, the present invention can provide the effect of reducing the deviation in inspection levels between managers and workers and improving the standardization of inspection quality by generating a checklist using a data-based algorithm.

[0230] FIG. 19 is a conceptual diagram illustrating a control method of an intelligent production quality control system based on real-time process data including a field detection terminal according to an additional embodiment of the present invention, FIG. 20 is a block diagram of the configuration of a field detection terminal according to one embodiment of the present invention, FIG. 21 is a schematic flowchart of a control method of an intelligent production quality control system based on real-time process data including a field detection terminal according to an additional embodiment of the present invention, and FIG. 22 is a detailed flowchart of a control method of an intelligent production quality control system based on real-time process data including a field detection terminal according to an additional embodiment of the present invention.

[0231] Referring to FIG. 19, a real-time fixed data-based intelligent production quality control system (1000) including a field detection terminal (400) according to an additional embodiment will be described in more detail.

[0232] The above-described real-time process data-based intelligent production quality control system (1000) is configured to be able to communicate with the server (200) and further includes at least one field detection terminal (400) installed at the process site to detect field conditions.

[0233] The above-mentioned field detection terminal (400) is configured to communicate with the above-mentioned server (200) and is characterized by detecting at least one field situation installed at the process site.

[0234] More specifically, the field detection terminal (400) is characterized by transmitting identification information and location information of the user terminal (100) to the administrator terminal (300) through the server (200) based on the inspection information entered through the user terminal (100).

[0235] Through this, the present invention can provide the effect of shortening the response time by enabling a manager to quickly recognize the status of the site through the site detection terminal (400).

[0236] In addition, the present invention can provide the effect of improving the reliability of inspection history by transmitting identification information and location information of the user terminal (100) through the administrator terminal (300), and can provide the effect of improving transparency and accountability regarding inspection results.

[0237] In addition, the present invention can receive not only information from the user terminal (100) but also detection data from the field detection terminal, thereby providing the effect of enabling accurate quality control.

[0238] All or some of the detailed components of the field detection terminal (400) described above with reference to FIG. 20 may be included in the same or similarly in the user terminal (100), server (200), and administrator terminal (300). As shown in FIG. 20, the field detection terminal (400) may include an input unit (410), a sensing unit (420), a communication unit (430), a memory unit (450), a power supply unit (460), a control unit (470), etc. Since the components shown in FIG. 20 are not essential, a field detection terminal (400) having more or fewer components may be implemented.

[0239] In addition, the above-mentioned field detection terminal (400) is linked with a cloud storage and edge computing environment, so that data can be remotely stored and managed through a network.

[0240] For example, AWS S3, Google Drive, Microsoft OneDrive, iCloud, Dropbox, etc., and the field detection terminal (400) can improve the security, accessibility, and scalability of data by utilizing these web-based storage and distributed storage technologies.

[0241] Below, the above components will be examined in turn.

[0242] The input section (410) is for inputting audio or video signals and may include a camera (411), a microphone (412), a user input section (413), etc.

[0243] The above camera (411) can process image frames, such as still images or video, obtained by an image sensor in video call mode or shooting mode.

[0244] The image frame processed by the camera (411) can be stored in the memory unit (450) or transmitted externally through the communication unit (430), and two or more cameras (411) may be provided depending on the usage environment.

[0245] The above microphone (412) can receive an external acoustic signal via a microphone in call mode, recording mode, voice recognition mode, etc., and process it into electrical voice data. In the case of call mode, the processed voice data can be converted into a form that can be transmitted to a mobile communication base station through a mobile communication module and output.

[0246] Various noise removal algorithms can be implemented in the microphone (412) to remove noise generated during the process of receiving an external acoustic signal.

[0247] The user input unit (413) generates input data for the user to control the operation of the terminal, and the user input unit (413) may be composed of a keypad, a dome switch, a touch pad (pressure / capacitive), a jog wheel, a jog switch, etc. In particular, the user input unit (313) may be configured to receive text information.

[0248] Meanwhile, the sensing unit (420) may include an illuminance sensor (421), a proximity sensor (422), a gyroscope sensor (423), an accelerometer sensor (424), etc.

[0249] The communication unit (430) may include one or more modules that enable wired and wireless communication between the field detection terminal (400) and a wired and wireless communication system or between the field detection terminal (400) and a network where the field detection terminal (400) is located. For example, the communication unit (430) may include a mobile communication module (431), a short-range communication module (432), a location information module (433), etc.

[0250] The above mobile communication module (431) can transmit and receive at least one wireless signal among a base station, an external terminal, and a server on a mobile communication network, and the wireless signal may include various forms of data such as voice call signals, video call signals, or text / multimedia message transmission and reception.

[0251] The above short-range communication module (432) refers to a module that enables wireless communication of the field detection terminal (400), and wireless internet technologies such as Bluetooth, NFC (Near Field Communication), UWB (Ultra-Wideband), Wi-Fi Direct, Thread, Matter, etc. may be used, and based on characteristics such as low power consumption, high-speed data transmission, and enhanced security, it can support seamless connection between IoT (Internet of Things) devices, smartphones, wearable devices, and smart home systems.

[0252] The above location information module (433) is a module for obtaining the location of the above-mentioned field detection terminal (400), and examples thereof include GSS (Global Navigation Satellites System), GPS (Global Positioning System), etc.

[0253] The memory unit (450) can store a program for the operation of the control unit (470) and can also temporarily store input / output data.

[0254] More specifically, the above input / output data includes phones, books, messages, still images, videos, etc.

[0255] The memory unit (450) can store data regarding various patterns of vibration and sound output when a touch input is made on the touchscreen, and the memory unit (450) can store various control variables, and can store a length determination value and a spacing determination value of the light-blocking part of the barrier layer corresponding to the distance between the display unit (441), and a displacement determination value corresponding to the deflection angle formed by the position of the center of the observer's eyes with respect to the vertical center axis of the display unit (441).

[0256] More specifically, the memory unit (450) may include storage media types such as NAND Flash Memory, UFS (Universal Flash Storage), NVMe (Non-Volatile Memory Express) SSD, eMMC (Embedded MultiMediaCard), LPDDR (Low Power Double Data Rate) RAM, GDDR (Graphics Double Data Rate) memory, MRAM (Magneto Resistive RAM), PRAM (Phase-Change RAM), FRAM (Ferroelectric RAM), ReRAM (Resistive RAM), and NVM (Non-Volatile Memory) technology-based storage.

[0257] In addition, the power supply unit (460) can receive external power and internal power under the control of the control unit (470) and supply power necessary for the operation of each component.

[0258] The above control unit (470) can typically control the overall operation of the mobile terminal and can perform related control and processing for, for example, voice calls, data communication, video calls, etc.

[0259] The control unit (470) can perform pattern recognition processing to recognize handwriting input or drawing input performed on the touchscreen as characters and images, respectively.

[0260] The various embodiments described herein may be implemented, for example, in a recording medium readable by a computer or similar device using software, hardware, or a combination thereof.

[0261] Next, the field detection terminal (400) communicates with the user terminal (100), server (200), and administrator terminal (100), enabling the user to control the control method (1000) of an intelligent production quality control system based on real-time process data, including the field detection terminal (400).

[0262] All or some of the detailed components of the field detection terminal (400) described above with reference to FIG. 20 may be included in the user terminal (100), server (200), and administrator terminal (300) in the same or similar manner.

[0263] With reference to FIGS. 21 and 22, a control method (S1000) of an intelligent production quality control system based on real-time fixed data, including a field detection terminal (400) according to an additional embodiment, will be described in more detail.

[0264] The control method (S1000) of the above-described real-time fixed data-based intelligent production quality control system is characterized by further including a risk notification step (S120).

[0265] More specifically, the risk notification step (S120) is characterized in that the field detection terminal (400) receives risk information, which is one or more of the location information of the user terminal (100), such as temperature, humidity, hazardous gas concentration, smoke detection, and noise.

[0266] More specifically, the risk notification step (S120) is characterized by notifying the risk to the user terminal (100) and the administrator terminal (300) via the server (200) when the risk information exceeds a preset value after the daily inspection information provision step (S103).

[0267] For example, if the field detection terminal (400) detects that the ambient temperature of equipment A recognized around the user terminal (100) exceeds a preset value of 70°C, it transmits a notification of the risk of overheating of equipment A to the server (200). Subsequently, the server (200) notifies the user terminal (100) and the administrator terminal (300) of the risk of overheating of equipment A, thereby enabling the prevention of damage to equipment A and fire prediction.

[0268] In addition, it is characterized by the ability to detect rising humidity to prevent raw material deterioration and process defects, and to detect hazardous gas concentrations to ensure human safety and detect risks such as operating ventilation systems and suspending operations.

[0269] Through this, the present invention can immediately detect risk information and transmit it to users and managers, thereby providing the effect of quickly identifying risks occurring in the field.

[0270] In addition, the present invention can capture the early stages of a danger signal and provide a notification, thereby providing the effect of preventing accidents.

[0271] In addition, the present invention can provide the effect of transmitting risk information to an administrator terminal (300), thereby enabling the administrator to make rapid decisions such as cause analysis and evacuation instructions.

[0272] Additionally, the present invention can provide the effect of directly contributing to ensuring the safety of the worker by directly transmitting the risk to the worker terminal (100).

[0273] Finally, the present invention can determine environmental conditions, including temperature and humidity, that may affect quality, thereby providing the effect of preventing the risk of quality abnormalities and equipment failures at an early stage.

[0274] More specifically, the control method (S1000) of the intelligent production quality control system based on real-time fixed data is characterized by further including a risk checklist generation step.

[0275] More specifically, the risk checklist generation step is characterized by generating an additional checklist based on the risk information obtained in the risk notification step (S120).

[0276] That is, the risk checklist generation step is characterized by the server (200) proceeding after the basic checklist generation step (S10), which is scheduled to proceed in the future, based on the risk information generated in the risk notification step (S120).

[0277] Through this, the present invention can provide the effect of enabling accurate and rapid subsequent inspection of risk information by automatically generating a checklist that reflects the risk.

[0278] In addition, the present invention can provide the effect of generating risk inspection items by risk type and providing an inspection optimized for the risk information.

[0279] Finally, the present invention can provide the effect of reducing the burden of managerial work and improving response speed by having the server (200) automatically generate the inspection items for each risk information without the worker and manager having to judge them.

[0280] Although preferred embodiments of the present invention have been illustrated and described above, the present invention is not limited to the specific embodiments described above, and various modifications can be made by those skilled in the art without departing from the gist of the invention as claimed in the claims, and such modifications should not be understood individually from the technical spirit or perspective of the present invention.

[0281] Each step according to the present invention described above may be executed in a different order as needed, and it is obvious that even in the case of an embodiment executed in a different order, it falls within the scope of the present invention.

[0282] Although the present invention has been described above with reference to the embodiments illustrated in the drawings, this is merely for the purpose of explaining the invention, and those skilled in the art will understand that various modifications or equivalent embodiments are possible from the detailed description of the invention.

[0283] Therefore, the true scope of rights of the present invention must be determined by the technical concept of the patent claims. Explanation of the symbols

[0284] 100 : User terminal 200 : Server 300 : Administrator Terminal 400 : Field detection terminal S10: Basic Checklist Creation Step S20: Inspection Information Input Step S30: Inspection information storage step S40: Inspection Information Judgment Step S50: Inspection Required Notification Step S60: Inspection Information Re-entry Step S70: Inspection Information Update Step S80: Inspection Information Re-evaluation Stage S90: Inspection Information Provision Step

Claims

Claim 1 A user terminal that receives process data from a user at a process site; and a manager terminal that receives inspection information, which is at least one piece of information requiring verification at the process site provided by a server; A control method for a real-time process data-based intelligent production and quality control system comprising: a server configured to communicate with the user terminal and the administrator terminal and providing the user with a real-time process data-based intelligent production and quality control system; wherein the server generates a checklist for receiving inspection information through the user terminal; an inspection information input step receives the inspection information into the checklist generated in the basic checklist generation step through the user terminal; an inspection information storage step in which the server stores the inspection information received in the inspection information input step; an inspection information judgment step in which the server classifies and judges the inspection information received in the inspection information storage step by comparing it with one or more inspection results among past inspection results or predicted inspection results; an inspection need notification step in which the server, if it determines that action is needed for the inspection information based on the inspection information judgment step, notifies the user terminal that action is needed; an inspection information re-input step in which the server performs a re-inspection and re-inputs the inspection information through the user terminal; an inspection information update step in which the server receives the inspection information entered in the inspection information re-input step, updates and stores the inspection information; and the server, in the inspection information update step A re-evaluation step of inspection results that reclassifies and re-evaluates the received inspection information and controls the process to proceed to the inspection need notification step if necessary; and an inspection result provision step in which, if the server determines that no inspection is needed, it distributes and provides the inspection information through user terminals and administrator terminals.A control method for a real-time process data-based intelligent production and quality control system, comprising: a step of providing inspection results, wherein the inspection result providing step further comprises: a daily inspection information generation step in which the server generates daily inspection information based on the history of the inspection information previously stored in the server; a daily inspection information storage step in which the server stores the daily inspection information; and a daily inspection information providing step in which the server provides the daily inspection information to the administrator terminal. Claim 2 delete Claim 3 In claim 1, the control method of the real-time process data-based intelligent production and quality control system further comprises the administrator terminal generating standard information including one or more of user information, corporate information, process line, multilingual settings, and company internal regulations information, and further comprises the user terminal and administrator terminal outputting the inspection information and standard information received via the server while the user terminal and administrator terminal display a checklist. Claim 4 In claim 3, the control method of the real-time process data-based intelligent production and quality control system further comprises: a re-inspection information storage step in which the server stores re-inspection information, which is one or more of the number of times the inspection information determined in the inspection information judgment step and the inspection result re-judgment step, the risk level, and the person in charge; and a re-inspection information provision step in which the server distributes and provides the re-inspection information through the administrator terminal. Claim 5 In claim 4, the control method of the real-time process data-based intelligent production and quality control system further comprises: a template selection step of selecting a template to repeatedly generate and select emails of the same form through the administrator terminal; a template editing step in which, when a template management request is received through the administrator terminal, the server controls the modification of the component for which the template management request was received on the editing area of ​​the template through the administrator terminal to be performed, applied, and output; and an email transmission step in which the server determines a component with a high usage frequency and a pre-configured component based on email history transmitted in the past among the components, and confirms the emails through the administrator terminal and transmits them in batches. Claim 6 A control method for a real-time process data-based intelligent production and quality control system, wherein, in claim 5, the template editing step allows the component to be repeatedly placed within one or more templates through the manager terminal, allows multiple different components to be placed within the template through the manager terminal, and allows the component to be moved on the template editing area due to a drag and drop method or a touch and drag method input through the manager terminal. Claim 7 In claim 3, the control method of the real-time process data-based intelligent production and quality control system is characterized by further including an inspection information prediction step in which the server analyzes current daily inspection information or previous daily inspection information to analyze the trend of results according to repeated daily inspection information, and performs a prediction based on time series information to predict future daily inspection information. Claim 8 A control method for a real-time process data-based intelligent production and quality control system, characterized in that, in claim 7, the basic checklist generation step further includes an automatic checklist generation step in which the server analyzes previous daily inspection information and the checklist to automatically generate a checklist of inspection information, which is at least one piece of information that is essential to verify. Claim 9 In claim 1, the control method of the real-time process data-based intelligent production and quality control system further comprises: a field detection terminal configured to communicate with the server and detecting the conditions of at least one field installed at a process site; wherein the field detection terminal transmits identification information and location information of the user terminal to the administrator terminal through the server based on the inspection information input through the user terminal. Claim 10 In claim 9, the control method of the real-time process data-based intelligent production and quality control system further comprises: a risk notification step in which, after the daily inspection information provision step, the field detection terminal receives risk information which is one or more of the location information of the user terminal, such as temperature, humidity, hazardous gas concentration, smoke detection, and noise, and if the risk information exceeds a preset value, the risk is notified to the user terminal and the administrator terminal through the server. Claim 11 A control method for a real-time process data-based intelligent production and quality control system, characterized in that, in claim 10, the basic checklist generation step further includes a risk checklist generation step in which the server adds an additional checklist based on the risk information.

Images