Discrete airplane assembly production line production data acquisition and control system

Abstract

The invention provides a discrete aircraft assembly production line production data acquisition management and control system, which belongs to the field of modern aircraft assembly and manufacturing and comprises a sensing layer, a network layer, a platform layer and an application layer. The sensing layer collects production field data in real time through sensing equipment, and the network layer realizes data transmission and sharing based on a 5G network; the platform layer provides data analysis, decision support and resource management functions and realizes intelligent management of the production process; and the application layer realizes integrated visual display and assists in production decision making. The invention aims to realize automatic data acquisition and control under traditional process equipment and a production mode of a discrete aircraft assembly production line, through real-time monitoring and intelligent analysis, the transparency of the production line is remarkably improved, and big data is utilized to support production decision, so that resource allocation is optimized and the operation efficiency is improved.

Description

Technical Field

[0001] The present invention belongs to the field of modern aircraft assembly manufacturing, and relates to a production data acquisition and control system for a discrete aircraft assembly production line. Background Art

[0002] The manufacturing industry is facing an urgent need for digital transformation. As the core production hub, the management efficiency of its production line directly affects the overall competitiveness of the enterprise. Currently, the following problems generally exist in the discrete aircraft assembly production line: scattered information, low efficiency, poor real-time performance, and reliance on manual operations, etc. Specifically, it is manifested that the operating status, saturation status, and bottleneck status of workstations cannot be automatically integrated, the production management is out of sync with the first-hand on-site data, and it is difficult for the management level to quickly obtain relevant information, resulting in a lag in response; the information transmission relies on manual work, affecting timeliness and accuracy; the production information is mainly managed in MES or ERP, but the real progress cannot be synchronized in real time, restricting lean production scheduling management. Summary of the Invention

[0003] In view of the above problems, the present invention provides a production data acquisition and control system for a discrete aircraft assembly production line, aiming to realize the automatic acquisition and control of data under the traditional process equipment and production mode of the discrete aircraft assembly production line. Through real-time monitoring and intelligent analysis, the present invention significantly improves the transparency of the production line, and uses big data to support production decision-making, thereby optimizing resource allocation and improving operation efficiency.

[0004] The specific technical solution of the present invention is as follows:

[0005] A production data acquisition and control system for a discrete aircraft assembly production line includes a perception layer, a network layer, a platform layer, and an application layer.

[0006] Based on industrial Internet technology, the perception layer uses sensing devices to collect production site data in real time. The sensing devices include four-color status lights, RFID electronic tags, and PDA devices. The production site data includes workstation status and production progress.

[0007] An industrial Internet platform is built in the network layer. Based on the 5G network, data transmission and sharing are realized, and the data collected by the perception layer is uploaded to the platform layer for subsequent analysis and decision-making.

[0008] A smart manufacturing service network is built in the platform layer, providing data analysis, decision support, and resource management functions, realizing the intelligent management of the production process, and providing data and results to the application layer.

[0009] A BI system is installed in the application layer. Based on the data and analysis results provided by the platform layer, integrated visual display is realized through regional intelligent terminal machines to assist production decision-making.

[0010] Specifically:

[0011] The described perception layer includes a workstation status acquisition module 1 and a product production progress tracking module 2.

[0012] The workstation status acquisition module 1 includes components such as four-color status lights, double-pole relays, gateways, and switch boxes installed on traditional tooling in the aircraft assembly production line. The components are integrated with the traditional tooling to ensure reliable connection of each component and provide stable power supply and wireless network signal transmission for collecting workstation status data, which is transmitted to the platform layer in real time through the network layer.

[0013] The product production progress tracking module 2 configures a unique RFID electronic tag for each product and each fixed workstation. The RFID electronic tag contains product and workstation-related information. At the same time, a PDA device is configured to scan and confirm the RFID electronic tags on the workstation and the product, collect production process information, and transmit it to the platform layer in real time through the network layer for production process data statistics and status monitoring.

[0014] The described network layer includes a signal transmission module 5.

[0015] The signal transmission module 5 builds an industrial Internet platform, realizes data transmission and sharing based on 5G technology, and sends signals to the server by installing a 5G Internet of Things SIM card in the sensing device or through a 5G gateway.

[0016] The described platform layer includes a workshop data management and control module 6 and a user management module 8.

[0017] The user management module 8 stores organizational structure information, terminal device information, user permission information, and background data, and uniformly manages the relevant information to ensure that each part operates according to the established rules, realizes secure and efficient data transmission, reasonable allocation of user permissions, and improves system stability.

[0018] The workshop data management and control module 6 builds an intelligent analysis platform for centrally collecting, real-time monitoring, and storing the workstation status, production progress, and product data transmitted by the signal transmission module 5. The intelligent analysis platform is built-in with data processing algorithms for analyzing key indicators in the production process, realizing dynamic evaluation of multi-dimensional data such as equipment operation efficiency, production cycle, and tooling utilization rate, and can generate production reports, process analysis charts, and efficiency evaluation reports as required; at the same time, the workshop data management and control module 6 transmits the data to the relevant devices in the application layer through the signal transmission module 5 to realize visual display of the data.

[0019] The described application layer includes a production information real-time monitoring module 3, a production line anomaly push module 4, and a BI system 7.

[0020] The real-time production information monitoring module 3 includes visualization terminals set at the production line site, including workstation visualization terminals, workshop visualization terminals, factory visualization terminals, company-level large screens, etc., and is equipped with a visualization system; each visualization terminal updates in real time the production data of each workstation and online product information transmitted by the workshop data management and control module 6, displays the online batches, start time and completion status by area, and integrates them into the company-level large screen through the visualization system to comprehensively reflect key indicators such as production status, production progress, and in-production distribution, helping management personnel quickly grasp the production dynamics of the assembly area and optimize resource allocation and process arrangement.

[0021] The production line anomaly push module 4 is provided with an intelligent gateway and terminal watches equipped for management personnel. The terminal watches realize bidirectional long-distance transmission of data signals and control instruction signals through the intelligent gateway based on the signal transmission module 5. When the production status changes abnormally, the production line anomaly push module 4 automatically pushes the anomaly information to the terminal watches of relevant management personnel according to permissions and divisions, so that the information can be timely feedback and processed.

[0022] The BI system 7 is integrated with a BI system interface for realizing data transmission between the workshop data management and control module 6 and the real-time production information monitoring module 3, integrating production, quality, technology, management and other data and performing visualization development, combining visualization management tools such as workshop-level electronic kanbans and workstation computers to assist the production activities and management decisions of the workshop, and realizing full-process monitoring of production and full-process traceability of quality.

[0023] Advantages of the present invention:

[0024] 1. By improving the traditional tooling and adding information management technology, and combining the intelligent control of the equipment state by software, the present invention enables the intelligent collaboration between the hardware equipment and the production schedule, laying a foundation for accurately calculating the production efficiency and equipment utilization rate.

[0025] 2. Through the deep integration of devices such as Internet of Things relays, PDA handheld devices, and RFID electronic tag barcodes with the information system, the present invention realizes the bidirectional real-time transmission of data between hardware and software.

[0026] 3. The present invention uses the LORA transmission scheme to solve the problem of intelligent terminal information reception in large spaces across factory buildings, and the application of 5G network transmission significantly improves the efficiency and real-time performance of data transmission.

[0027] 4. In terms of multi-system integration, the present invention realizes seamless real-time interconnection and interoperability around the production business logic, improving the overall collaborative efficiency of the system.

[0028] 5. The present invention has high popularizability and provides a reference idea for the digital transformation of aircraft discrete production lines. Description of the Drawings

[0029] Figure 1 It is the architecture of the production data acquisition and control system.

[0030] In the figure, 1 - Station status acquisition module; 2 - Product production progress tracking module; 3 - Real-time production information monitoring module; 4 - Production line anomaly push module; 5 - Signal transmission module; 6 - Workshop data management and control module; 7 - BI system; 8 - User management module. Specific implementation manners

[0031] Next, the technical solution of the present invention will be clearly and completely described. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments improved or adjusted by those of ordinary skill in the art belong to the protection scope of the present invention.

[0032] A discrete aircraft assembly production line production data acquisition and control system includes a perception layer, a network layer, a platform layer, and an application layer.

[0033] The perception layer is based on industrial Internet technology and collects production site data in real time through sensing devices. The sensing devices include four-color status lights, RFID electronic tags, and PDA devices. The production site data includes station status and production progress.

[0034] The network layer is built with an industrial Internet platform, and realizes data transmission and sharing based on the 5G network, and uploads the data collected by the perception layer to the platform layer for subsequent analysis and decision-making.

[0035] The platform layer constructs an intelligent manufacturing service network, provides data analysis, decision support, and resource management functions, realizes intelligent management of the production process, and provides data and results to the application layer.

[0036] The application layer is equipped with a BI system. Based on the data and analysis results provided by the platform layer, it realizes integrated visual display through regional intelligent terminal machines to assist production decision-making.

[0037] As Figure 1 shown, specifically:

[0038] The described perception layer includes a station status acquisition module 1 and a product production progress tracking module 2.

[0039] The station status acquisition module 1 includes components such as four-color status lights, double-direction relays, gateways, and switch boxes installed on the traditional tooling of the aircraft assembly line. The components are integrated with the traditional tooling to ensure reliable connection of each component and provide stable power supply and wireless network signal transmission for collecting station status data, which is transmitted to the platform layer in real time through the network layer. Define the meanings of various colors of the four-color lights (for example, red represents abnormality, yellow represents waiting for production, green represents normal, and blue represents idle). According to the actual status of the station, the status is visually displayed by adjusting the light color in the switch box, and the collected data is transmitted through the network signal, thus completing the efficient acquisition and two-way signal transmission of the station status. The station status acquisition module 1 adopts a modular design, with high reliability and easy maintainability, ensuring stable operation under complex working conditions. At the same time, through integrated design and standardized interfaces, it provides a good foundation for the scalability and upgrade of the system.

[0040] The product production progress tracking module 2 configures a unique RFID electronic tag for each product and each fixed station. The RFID electronic tag contains information related to the product and the station. At the same time, a PDA device is configured to scan and confirm the RFID electronic tags on the station and the product, collect production process information and transmit it to the platform layer in real time through the network layer for production process data statistics and status monitoring. In the product production preparation stage, first, each product is uniquely coded, an RFID electronic tag is generated and pasted on the product to ensure accurate identification and tracking of the information of each product (such as type, flight number, etc.). Then, a unique RFID electronic tag is configured for each fixed station, and the station number information is assigned to the tag. Before the product goes online, the operator uses the PDA device to scan and confirm the RFID electronic tag on the station and the RFID electronic tag on the product. Only after ensuring that all products are in a normal state can the assembly work be carried out. After completing the assembly task, the system performs an offline scan and confirmation of the station, and details and records key data elements such as the mapping relationship between the product and the station, and the operation time. By tracking these data information in real time, the system can analyze data such as the product production cycle and production waiting time.

[0041] The network layer described above includes a signal transmission module 5.

[0042] The signal transmission module 5 builds an industrial Internet platform, realizes data transmission and sharing based on 5G technology, and sends signals to the server by installing a 5G Internet of Things SIM card in the sensing device or through a 5G gateway.

[0043] The platform layer described above includes a workshop data management and control module 6 and a user management module 8.

[0044] The user management module 8 stores organizational structure information, terminal device information, user permission information, and background data, and uniformly manages relevant information to ensure that each part operates according to established rules, realizing secure and efficient data transmission, reasonable distribution of user permissions, and improving system stability.

[0045] An intelligent analysis platform is built in the workshop data management and control module 6, which is used to centrally collect, monitor in real time, and store the station status, production progress, and product data transmitted by the signal transmission module 5. The intelligent analysis platform is built-in with data processing algorithms for analyzing key indicators in the production process to realize dynamic evaluation of multi-dimensional data such as equipment operation efficiency, production cycle, and tooling utilization rate, and can generate production reports, process analysis charts, and efficiency evaluation reports as required; at the same time, the workshop data management and control module 6 transmits data to relevant devices in the application layer through the signal transmission module 5 to realize visual display of the data.

[0046] The application layer described above includes a production information real-time monitoring module 3, a production line anomaly push module 4, and a BI system 7.

[0047] The production information real-time monitoring module 3 includes visualization terminals set at the production line site, including station visualization terminals, workshop visualization terminals, factory visualization terminals, company-level large screens, etc., and is equipped with a visualization system; each visualization terminal updates in real time the production data of each station and online product information transmitted by the workshop data management and control module 6, displays the online batches, start time, and completion status by area, and integrates them into the company-level large screen through the visualization system to comprehensively reflect key indicators such as production status, production progress, and in-production distribution, helping management personnel quickly grasp the production dynamics of the assembly area and optimize resource allocation and process arrangements.

[0048] The production line anomaly push module 4 is provided with an intelligent gateway and terminal watches equipped for management personnel. The terminal watches realize two-way long-distance transmission of data signals and control instruction signals through the intelligent gateway based on the signal transmission module 5. When the production status changes abnormally, the production line anomaly push module 4 automatically pushes the anomaly information to the terminal watches of relevant management personnel according to permissions and divisions, so that the information can be promptly feedback and processed.

[0049] The BI system 7 is integrated with a BI system interface for realizing data transmission between the workshop data management and control module 6 and the production information real-time monitoring module 3, integrating production, quality, technology, management, and other data and conducting visual development. Combining visual management tools such as workshop-level electronic kanbans and station computers, it assists the production activities and management decisions of the workshop to realize full-process monitoring of production and full-process traceability of quality.

[0050] The above-described embodiments merely represent the implementation manners of the present invention, but should not be construed as limiting the scope of the present invention. It should be noted that for those skilled in the art, without departing from the concept of the present invention, several modifications and improvements can still be made, and these all fall within the protection scope of the present invention.

Claims

1. A discrete aircraft assembly production line production data acquisition and control system, characterized in that It includes a perception layer, a network layer, a platform layer and an application layer; The perception layer collects production site data in real time through sensing devices; The network layer realizes data transmission and sharing based on the 5G network, and uploads the data collected by the perception layer to the platform layer; The platform layer constructs an intelligent manufacturing service network, provides functions such as data analysis, decision-making support, and resource management, realizes intelligent management of the production process, and provides data and results to the application layer; The application layer is equipped with a BI system. Based on the data and analysis results provided by the platform layer, it realizes integrated visual display through regional intelligent terminal machines to assist production decision-making.

2. The discrete aircraft assembly production line production data acquisition and control system according to claim 1, wherein The said sensing devices include four-color status lights, RFID electronic tags, and PDA devices.

3. A discrete aircraft assembly production line production data acquisition and control system according to claim 1, characterized in that The said production site data includes station status and production progress.

4. A discrete aircraft assembly production line production data acquisition and control system according to claim 1, characterized in that, The perception layer includes a station status acquisition module (1) and a product production progress tracking module (2); The station status acquisition module (1) includes components installed on traditional tooling in the aircraft assembly line. The components are integrally designed with the traditional tooling and are used to collect station status data, and it transmits the status data to the platform layer in real time through the network layer; The product production progress tracking module (2) configures a unique RFID electronic tag for each product and each fixed station. The RFID electronic tag contains product and station-related information. At the same time, a PDA device is configured to scan and confirm the RFID electronic tag, collect production process information and transmit it to the platform layer in real time through the network layer for production process data statistics and status monitoring.

5. The discrete aircraft assembly production line production data acquisition and control system according to claim 1, wherein The said network layer includes a signal transmission module (5); The signal transmission module (5) realizes data transmission and sharing based on 5G technology, and sends signals to the server by installing a 5G Internet of Things SIM card in the sensing device or through a 5G gateway.

6. The discrete aircraft assembly production line production data acquisition and control system according to claim 1, characterized in that, The said platform layer includes a workshop data management and control module (6) and a user management module (8); The user management module (8) stores organizational structure information, terminal device information, user permission information and background data, and uniformly manages the relevant information; The workshop data management and control module (6) builds an intelligent analysis platform for centralized collection, real-time monitoring and storage of station status, production progress and product data transmitted through the signal network layer. The intelligent analysis platform is built-in with data processing algorithms for analyzing key indicators in the production process to realize multi-dimensional data dynamic evaluation; At the same time, the workshop data management and control module (6) transmits data to relevant devices in the application layer through the network layer.

7. A discrete aircraft assembly production line production data acquisition and control system according to claim 1, characterized in that, The said application layer includes a production information real-time monitoring module (3), a production line anomaly push module (4) and a BI system (7); The production information real-time monitoring module (3) includes visualization terminals set at the production line site and is equipped with a visualization system; Each visualization terminal updates and displays the information transmitted from the platform layer in real time; The production line anomaly push module (4) is provided with an intelligent gateway and a terminal watch equipped for management personnel. The terminal watch realizes bidirectional long-distance transmission of data signals and control instruction signals through the intelligent gateway based on the network layer. When the production status changes abnormally, the production line anomaly push module (4) pushes the anomaly information to the terminal watches of relevant management personnel according to permissions and divisions of labor; The BI system 7 is integrated with a BI system interface for realizing data transmission between the platform layer and the production information real-time monitoring module (3).

8. A discrete aircraft assembly production line production data acquisition and control system according to claim 7, characterized in that The visualization terminals described above include workstation visualization terminals, workshop visualization terminals, factory visualization terminals, and company-level large screens.

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