Garment production quality inspection management system and method based on Internet of Things

Abstract

The invention discloses a garment production quality inspection management system based on the Internet of Things, and belongs to the technical field of sewing equipment control management. The problem that batch quality accidents are prone to occurring in an existing system is solved. The garment production quality inspection management system comprises a hardware layer which comprises an Internet of Things device, a tablet terminal, a mobile terminal and a tricolor lamp; the transmission layer comprises wireless network transmission equipment and is used for data transmission between the hardware layer and the application layer; the application layer comprises a cloud platform and is used for data storage, calculation and management and executing the following functions of associating and binding equipment information, process information and quality inspection standards; and triggering a grading pushing mechanism according to the number of flaws. The garment production quality inspection management system has the advantages that real-time feedback processing and automatic multi-stage processing response are achieved, so that flaws are found and systematically processed in time, and batch quality accidents are avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of sewing equipment control management, and in particular to a clothing production quality inspection management system and method based on the Internet of Things. Background Art

[0002] With the rapid development of Internet of Things technology, its application in the manufacturing industry has gradually penetrated into all aspects of production quality management. In the field of clothing production, sewing quality directly determines the aesthetics, durability and brand reputation of the product. Traditional clothing production relies on manual experience for quality inspection, but with the expansion of production scale and the improvement of consumer quality requirements, it is urgent to realize the real-time collection, analysis and feedback of quality data through intelligent means.

[0003] At present, clothing enterprises generally adopt quality inspection solutions based on software systems, such as building a quality inspection question library model and a standardized database (as described in the comparative document CN118297467A). The comparative document CN118297467A includes the following steps: building a quality inspection question library model; obtaining the name information of the clothing parts; obtaining the location information of the quality inspection problems of the parts; obtaining the type information of the quality inspection problems of the parts; obtaining the degree information of the quality inspection problems of the parts; in response to the submission command, matching and storing the name information of the parts, the location information of the quality inspection problems, the type information of the quality inspection problems and the degree information of the quality inspection problems into the quality inspection question library of the quality inspection question library model; building a quality inspection standardized database model; and based on the quality inspection question library and the quality inspection standardized database model, evaluating the type and degree of defect problems, and feeding back the evaluation results of the type and degree of defect problems.

[0004] However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the inventors of the present application found that the above technology has at least the following technical problems: when a defect occurs in a process for the first time, the system only records the problem but cannot immediately push the operating instructions to the workstation equipment, resulting in a delay in the employee's correction; at the same time, if defects occur in the same process multiple times, there is a lack of a step-by-step alarm mechanism based on the Internet of Things (such as pushing alarms to team leaders and supervisors); when defects occur in the process, the existing quality inspection management system is unable to handle the defect problems in a timely manner and the defect handling response mechanism is delayed, which makes it easy for batch quality accidents to occur, and at the same time increases the production costs of the enterprise for handling defective products. Summary of the invention

[0005] The present application provides a clothing production quality inspection and management system based on the Internet of Things, which solves the technical problem that batch quality accidents are prone to occur due to the inability to promptly handle defects in the process and the lag in the defect handling response mechanism in the prior art, and at the same time increases the production costs of enterprises due to the handling of defective products. It realizes real-time feedback processing and automated multi-level processing response when defects occur in the process, so that defects can be discovered and handled in a timely and systematic manner to avoid batch quality accidents.

[0006] The present application provides a clothing production quality inspection management system based on the Internet of Things, which is characterized by including:

[0007] The hardware layer includes IoT devices, tablet terminals, mobile terminals, and tricolor lights, among which:

[0008] The IoT device is configured to perform human-computer interaction, employee login, and push operation guidance documents;

[0009] The tablet terminal is used for garment quality inspection and production line inspection, and supports defect entry and process reporting;

[0010] The mobile terminal is used to push abnormal quality information of workstations;

[0011] The three-color light is connected to the IoT device for communication, and triggers visual prompts of different colors and flashing modes according to the quality inspection results;

[0012] The transport layer, including wireless network transmission equipment, is used for data transmission between the hardware layer and the application layer;

[0013] The application layer, including the cloud platform, is used for data storage, computing, and management, and performs the following functions:

[0014] Associate and bind equipment information, process information and quality inspection standards;

[0015] Triggering the graded push mechanism based on the number of defects:

[0016] When a defect occurs for the first time, the operation instruction file is pushed to the IoT device and the three-color light is activated to flash alternately yellow and green;

[0017] When a second defect occurs, an alarm message is pushed to the team leader's mobile terminal and the three-color light is activated to flash alternately red and yellow;

[0018] When the third defect occurs, an alarm message is pushed to the production supervisor's mobile terminal and the three-color light is activated to flash alternately red, yellow and green;

[0019] Generate quality statistics reports including defects, processes, time and personnel.

[0020] In the above-mentioned clothing production quality inspection and management system based on the Internet of Things, the lighting rules of the three-color lights include customized configurations of color combinations, flashing frequencies and durations, which are used to distinguish different levels of quality abnormalities.

[0021] In the above-mentioned IoT-based clothing production quality inspection management system, the operation instruction file includes videos, pictures and documents, which are automatically matched by the cloud platform according to the reported defective process and pushed to the IoT device screen of the corresponding workstation.

[0022] In the above-mentioned clothing production quality inspection management system based on the Internet of Things, the hierarchical push mechanism also includes:

[0023] After the employee corrects the self-check, the inspection personnel need to confirm the pass on the IoT device to restore the three-color light to a steady green state;

[0024] After the team leader or production supervisor handles the alarm through the mobile terminal APP, the system records the intervention time and processing results.

[0025] In the above-mentioned clothing production quality inspection management system based on the Internet of Things, the cloud platform is also configured as follows:

[0026] Establish a quality inspection problem database to store defect types, process-related information, and historical processing records;

[0027] Based on the quality statistical report, the processes and personnel with high problem incidence are marked and optimization suggestions are generated.

[0028] In the above-mentioned clothing production quality inspection and management system based on the Internet of Things, the Internet of Things devices, tablet terminals, and mobile terminals synchronize data with the cloud platform in real time through wireless networks to form a closed-loop quality inspection management process.

[0029] A clothing production quality inspection management method based on the Internet of Things, based on the above-mentioned clothing production quality inspection management system based on the Internet of Things, is characterized by comprising the following steps:

[0030] Enter employee information, equipment information, quality inspection standards and process-related operation instruction documents before production;

[0031] During the production process, the system automatically reports defects, triggers graded alarms and pushes operational guidance;

[0032] According to the status of the three-color light and the alarm of the mobile terminal, the employee can conduct self-inspection, the team leader can intervene, or the production supervisor can escalate the process;

[0033] The cloud platform aggregates the quality inspection data to generate reports and feeds them back to the manager's terminal.

[0034] In the above-mentioned clothing production quality inspection management method based on the Internet of Things, it is characterized in that the triggering logic of the graded alarm includes:

[0035] When defects occur continuously in the same process, the alarm level will be raised step by step according to the number of times;

[0036] The alarm level is dynamically bound to the color of the three-color light, the flashing mode, and the push object.

[0037] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0038] 1. Due to the adoption of the technical means of real-time system feedback, multi-level management response mechanism and the coordinated work of hardware and software, the existing technology effectively solves the problem that when defects occur in the process, the defects cannot be handled in time and the defect handling response mechanism is delayed, which easily leads to batch quality accidents, and the technical problem of increased production costs for enterprises due to the handling of defective products. It also achieves the technical effect of real-time feedback processing and automated multi-level processing response when defects occur in the process, so as to find defects and handle them in a timely and systematic manner to avoid batch quality accidents.

[0039] 2. Customize the configuration of three-color light rules to meet the abnormal prompt requirements of different production scenarios and enhance the versatility of the system;

[0040] 3. Employees can instantly obtain the operation instruction documents (videos, pictures, etc.) bound to the defective process, reducing the correction time and error rate;

[0041] 4. Closed-loop management of the entire process from problem reporting, employee correction to inspection confirmation ensures that quality problems are completely resolved and data is traceable;

[0042] 5. Mark the processes and personnel with high-problem occurrences through quality statistical reports, provide optimization suggestions for managers, and reduce the probability of recurrence of similar problems;

[0043] 6. Reduce manual intervention and improve the efficiency of quality inspection processes through systematic process design (data entry, graded alarms, and feedback mechanisms). BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 This is a schematic diagram of the architecture of the clothing production quality inspection management system based on the Internet of Things.

[0045] Figure 2 It is a flow chart of the defect-triggered graded push mechanism.

[0046] Figure 3 It is a system-generated quality statistical report interface that includes defect issues, processes, time and personnel.

[0047] Figure 4 It is a flow chart of the clothing production quality inspection management method based on the Internet of Things. DETAILED DESCRIPTION

[0048] The embodiment of the present application provides a clothing production quality inspection and management system based on the Internet of Things, which solves the technical problem in the prior art that when defects occur in the process, the defects cannot be handled in time and the defect handling response mechanism is delayed, which easily leads to batch quality accidents and increases the production costs of the enterprise due to the handling of defective products.

[0049] The technical solution in the embodiment of the present application is to solve the above-mentioned problem of batch quality accidents, and the overall idea is as follows:

[0050] Through multi-level management response mechanisms and technical means whereby hardware and software work in tandem, we can achieve real-time feedback processing and automated multi-level response when defects occur in the process, thereby discovering defects and handling them in a timely and systematic manner to avoid batch quality accidents.

[0051] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0052] Embodiment 1

[0053] like Figure 1 As shown, this embodiment provides a clothing production quality inspection management system based on the Internet of Things, including a hardware layer, a transmission layer and an application layer;

[0054] The hardware layer includes IoT devices, tablet terminals, mobile terminals, and tricolor lights, among which:

[0055] IoT devices are configured to perform human-computer interaction, employee login, and push operation guide files; IoT devices are equipped with screens for easy interaction;

[0056] Tablet terminals are used for garment quality inspection and production line inspection, supporting defect entry and process reporting, such as tablets.

[0057] Mobile terminals are used to push abnormal quality information of workstations, such as mobile phones; of course, tablets and mobile phones can also be replaced by other device media;

[0058] The three-color light communicates with the IoT device and triggers visual prompts of different colors and flashing modes according to the quality inspection results;

[0059] The transport layer includes wireless network transmission equipment (such as gateways, routers, etc.), which is used for data transmission between the hardware layer and the application layer;

[0060] The application layer, including the cloud platform, is used for data storage, computing, and management, and performs the following functions:

[0061] Associate and bind equipment information, process information and quality inspection standards;

[0062] like Figure 2 As shown, the hierarchical push mechanism is triggered according to the number of defects:

[0063] When a defect occurs for the first time, the operation instruction file is pushed to the IoT device and the three-color light is activated to flash alternately yellow and green;

[0064] When a second defect occurs, an alarm message is pushed to the team leader's mobile terminal and the three-color light is activated to flash alternately red and yellow;

[0065] When the third defect occurs, an alarm message is pushed to the production supervisor's mobile terminal and the three-color light is activated to flash alternately red, yellow and green;

[0066] Generate quality statistical reports including defects, processes, time and personnel;

[0067] The application layer includes the basic data module and the production management module. Before production, management needs to enter employee information, equipment information, quality inspection standards, clothing process information in the basic data module in advance and upload the corresponding process video, pictures, documents and other operation guide files. Then, in the production management module, the equipment and process are associated and bound to generate a quality statistical report containing defect problems, processes, time and personnel. The quality inspection data is summarized in the system to generate a report, marking the time point and number of problems, such as Figure 3 The system will provide feedback to the management terminal to help managers make timely and effective decisions and reduce the occurrence of batch quality accidents.

[0068] Specifically, the lighting rules of the three-color light include custom configuration of color combination, flashing frequency and duration, which are used to distinguish different levels of quality abnormality. Through the custom configuration of the three-color light rules, the abnormal prompt requirements of different production scenarios can be met, and the versatility of the system can be enhanced.

[0069] The operation instruction files include videos, pictures and documents, which are automatically matched and pushed to the IoT device screen of the corresponding workstation by the cloud platform according to the reported defective process. If a defect is detected during quality inspection, the system will automatically match and push it to the IoT device screen of the corresponding workstation according to the reported defective process. Employees can immediately obtain the operation instruction files (videos, pictures, etc.) bound to the defective process, reducing correction time and error rate.

[0070] The hierarchical push mechanism also includes:

[0071] After the employee corrects the self-check, the inspection personnel need to confirm the pass on the IoT device to restore the three-color light to a steady green state;

[0072] After the team leader or production supervisor handles the alarm through the mobile terminal APP, the system records the intervention time and processing results.

[0073] The specific push process of the mechanism is as follows:

[0074] After the pre-production information is associated, during normal production, the garment quality inspection QC and the production line inspection QC can use the Pad end to perform quality inspection management in the production management module. When defective products are detected, the defect problem, process, location and other information can be entered into the system. The specific defect push logic is as follows:

[0075] ① QC selects a problematic process and reports it. When the system determines that the process has the first defect, the system will push the corresponding video, pictures, documents and other operation guidance files to the IoT device screen to provide employees with operation guidance. At the same time, the three-color light of the production station of the process flashes alternately in yellow and green. After receiving the defective products, the employees will correct and self-check them, and then submit them to the inspection for confirmation. After the inspection confirms that they are qualified, the operation on the IoT device screen will restore the three-color light to normal (green and steady).

[0076] ② When the system determines that the process has a second defect, the process logic is roughly the same as the first time. The difference is that when the second defect occurs, the system will light up the three-color light (flashing red and yellow alternately) and push information such as the defect problem and work station to the team leader's mobile APP to remind management to intervene. The system records the team leader's intervention information.

[0077] ③ When the system determines that the process has a third defect, the process logic is roughly the same as the second time. The difference is that when the third defect occurs, the system will light up the three-color light (flashing red, yellow and green alternately) and push the defect problem, work station and other information to the production supervisor's mobile APP, escalate the problem and the system records the production supervisor's intervention information.

[0078] The integrated design of the hardware layer (IoT devices, three-color lights) and the application layer (tiered push logic) enables instant feedback and multi-level management response of quality anomalies through hardware device linkage and tiered push mechanism, significantly reducing the risk of batch quality accidents.

[0079] The cloud platform is also configured to:

[0080] Establish a quality inspection problem database to store defect types, process-related information, and historical processing records;

[0081] Based on the quality statistical report, mark the processes and personnel with high problem incidence and generate optimization suggestions.

[0082] By marking the processes and personnel with high incidence of problems through quality statistical reports, we can provide managers with optimization suggestions and reduce the probability of recurrence of similar problems.

[0083] IoT devices, tablet terminals, and mobile terminals synchronize data with the cloud platform in real time via wireless networks, forming a closed-loop quality inspection management process.

[0084] The closed-loop management of the entire process from problem reporting, employee correction to inspection confirmation ensures that quality problems are completely resolved and data is traceable. Through systematic process design (data entry, graded alarms, feedback mechanism), manual intervention is reduced and the efficiency of the quality inspection process is improved.

[0085] Embodiment 2

[0086] like Figure 4 As shown, this embodiment provides a clothing production quality inspection management method based on the Internet of Things, based on the clothing production quality inspection management system of embodiment 1, including the following steps:

[0087] Enter employee information, equipment information, quality inspection standards and process-related operation instruction documents before production;

[0088] During the production process, the system automatically reports defects, triggers graded alarms and pushes operational guidance;

[0089] According to the status of the three-color light and the alarm of the mobile terminal, the employee can conduct self-inspection, the team leader can intervene, or the production supervisor can escalate the process;

[0090] The cloud platform aggregates the quality inspection data to generate reports and feeds them back to the manager's terminal.

[0091] The trigger logic of graded alarms includes:

[0092] When defects occur continuously in the same process, the alarm level will be raised step by step according to the number of times;

[0093] The alarm level is dynamically bound to the color of the three-color light, the flashing mode, and the push object.

[0094] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0095] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A clothing production quality inspection management system based on the Internet of Things, characterized in that: include: The hardware layer includes IoT devices, tablet terminals, mobile terminals, and tricolor lights, among which: The IoT device is configured to perform human-computer interaction, employee login, and push operation guidance documents; The tablet terminal is used for garment quality inspection and production line inspection, and supports defect entry and process reporting; The mobile terminal is used to push abnormal quality information of workstations; The three-color light is connected to the IoT device for communication, and triggers visual prompts of different colors and flashing modes according to the quality inspection results; The transport layer, including wireless network transmission equipment, is used for data transmission between the hardware layer and the application layer; The application layer, including the cloud platform, is used for data storage, computing, and management, and performs the following functions: Associate and bind equipment information, process information and quality inspection standards; Triggering the graded push mechanism based on the number of defects: When a defect occurs for the first time, the operation instruction file is pushed to the IoT device and the three-color light is activated to flash alternately yellow and green; When a second defect occurs, an alarm message is pushed to the team leader's mobile terminal and the three-color light is activated to flash alternately red and yellow; When the third defect occurs, an alarm message is pushed to the production supervisor's mobile terminal and the three-color light is activated to flash alternately red, yellow and green; Generate quality statistics reports including defects, processes, time and personnel.

2. A clothing production quality inspection management system based on the Internet of Things as claimed in claim 1, characterized in that: The lighting rules of the three-color light include customized configuration of color combination, flashing frequency and duration, which are used to distinguish different levels of quality abnormality states.

3. The clothing production quality inspection management system based on the Internet of Things as claimed in claim 1, characterized in that: The operation instruction file includes videos, pictures and documents, which are automatically matched by the cloud platform according to the reported defective process and pushed to the IoT device screen of the corresponding workstation.

4. A clothing production quality inspection management system based on the Internet of Things as described in claim 1, 2 or 3, characterized in that: The hierarchical push mechanism also includes: After the employee corrects the self-check, the inspection personnel need to confirm the pass on the IoT device to restore the three-color light to a steady green state; After the team leader or production supervisor handles the alarm through the mobile terminal APP, the system records the intervention time and processing results.

5. The clothing production quality inspection management system based on the Internet of Things as claimed in claim 4, characterized in that: The cloud platform is also configured as: Establish a quality inspection problem database to store defect types, process-related information, and historical processing records; Based on the quality statistical report, the processes and personnel with high problem incidence are marked and optimization suggestions are generated.

6. A clothing production quality inspection management system based on the Internet of Things as claimed in claim 5, characterized in that: The IoT devices, tablet terminals and mobile terminals synchronize data with the cloud platform in real time via wireless networks, forming a closed-loop quality inspection management process.

7. A clothing production quality inspection management method based on the Internet of Things, based on the clothing production quality inspection management system based on the Internet of Things according to any one of claims 1 to 6, characterized in that: The following steps are involved: Enter employee information, equipment information, quality inspection standards and process-related operation instruction documents before production; During the production process, the system automatically reports defects, triggers graded alarms and pushes operational guidance; According to the status of the three-color light and the alarm of the mobile terminal, the employee can conduct self-inspection, the team leader can intervene, or the production supervisor can escalate the process; The cloud platform aggregates the quality inspection data to generate reports and feeds them back to the manager's terminal.

8. The clothing production quality inspection management system based on the Internet of Things as claimed in claim 7, characterized in that: The triggering logic of the graded alarm includes: When defects occur continuously in the same process, the alarm level will be raised step by step according to the number of times; The alarm level is dynamically bound to the color of the three-color light, the flashing mode, and the push object.

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