Flexible safety production system for final assembly of fire-related aircraft and execution method thereof
Patent Information
- Application Number
- CN202610579076.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-04-29
- Publication Date
- 2026-08-21
AI Technical Summary
但该发明没有面向涉火飞行器全备弹总装生产
1、生产系统面向防空涉火飞行器全备弹总装生产,通过产线环境监测单元、产线人员智能监测单元、产线物联感知模块、产线集成管控模块,切实贯彻了殉爆总装厂房的火工品定量、人员定量的安全管理约束,实现了满足安全要求的全备弹总装生产系统。
Smart Images

Figure CN122606330A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of automated production line technology, specifically to an automated flexible safety production system for the final assembly of fire-prone aircraft and its execution method. Background Technology
[0002] As the backbone of national defense and military defensive weaponry, aircraft play an irreplaceable and vital role in safeguarding national security and territorial integrity. Traditional fire-prone aircraft assembly processes rely heavily on manual labor, employing a "one-stop assembly" model where the entire assembly process is completed at a single workstation or a small number of workstations. Storage of fire-prone aircraft assembly equipment typically involves laying items flat on warehouse or temporary storage areas, resulting in large footprints, low retrieval efficiency, and a high risk of errors. Logistics for fire-prone aircraft assembly utilizes manual hoisting and personnel transfer via transport vehicles, leading to a large number of personnel required for transfers, low efficiency, and significant safety hazards due to the manual hoisting and transfer processes. Production scheduling for fire-prone aircraft assembly employs a manual scheduling team centered around workshop dispatchers and supported by shift leaders and team leaders. Scheduling information must pass through multiple levels from dispatchers to operators, resulting in low efficiency and susceptibility to information distortion. Safety management for fire-prone aircraft assembly relies on manual registration, with the equivalent of pyrotechnic materials and the number of personnel in the factory depending on paper ledgers and manual counting, leading to poor timeliness and accuracy.
[0003] Therefore, in order to meet the requirements of safe production, intensive warehousing, automated logistics, intelligent scheduling, high efficiency, and high reliability in the final assembly production of fire-related aircraft, this invention provides an automated flexible safety production system for the final assembly of fire-related aircraft and its execution method, so as to achieve a high degree of automation, high flexibility, and high safety in the final assembly production of fire-related aircraft.
[0004] Patent document CN117325465A discloses an automated assembly system for bonding irregularly shaped cushioning foam to flexible substrates in the field of large-scale irregularly shaped flexible solar panels. The system includes an automated adhesive application subsystem, a foam bonding subsystem, a safety detection system, and a control system. The control system is connected to the automated adhesive application subsystem, the foam bonding subsystem, and the safety monitoring system. The automated adhesive application subsystem applies adhesive to the substrate, the foam bonding subsystem places foam boards on the adhesive-coated substrate, and then a worker manually removes the workpiece and places a new workpiece, repeating this process. The safety detection system monitors the system's operating status in real time to mitigate potential safety risks. However, this invention does not address the full-equipment assembly production of fire-prone aircraft. Summary of the Invention
[0005] To address the shortcomings of existing technologies, the purpose of this invention is to provide an automated, flexible, and safe production system for the final assembly of fire-prone aircraft and its execution method.
[0006] An automated, flexible, and safe production system for the final assembly of fire-prone aircraft, according to the present invention, includes: Assembly and testing sub-lines: Two assembly and testing sub-lines are located on both sides of the factory building, arranged in a straight line, and each includes a flexible docking device for compartments, a logistics conveyor line, an assembly auxiliary robot, an aircraft loading device, a truss handling system, a shape and quality parameter detection device, a test platform, and a workstation operation terminal. Centralized material loading module: Located in the loading and unloading area at the factory logistics entrance, it is used to place the materials entering the factory on standard trays, and then the logistics module automatically transfers them to the material storage module for storage; Material storage module: Located in the middle of the factory, it supplies two assembly and testing sub-lines at the same time. It includes a fire-related product planar storage warehouse, a non-fire-related product three-dimensional storage warehouse, a product buffer warehouse, and a line-side warehouse centralized management system. The line-side warehouse centralized management system uniformly manages the three line-side warehouses: the fire-related product planar storage warehouse, the non-fire-related product three-dimensional storage warehouse, and the product buffer warehouse. Logistics module: including compartment-type AGVs, full-capacity AGVs, and logistics command and dispatch system; providing logistics and distribution for two assembly and testing sub-lines, centralized loading module, and material storage module; Production line environmental monitoring module: includes environmental monitoring composite sensors and factory environmental monitoring system, which monitors temperature, humidity, light, dust, flammable and explosive gases, toxic and harmful gases, and oxygen concentration in real time within the production system range; Production line personnel intelligent monitoring module: includes factory personnel monitoring cameras and production line personnel intelligent monitoring system, used to monitor the number of personnel in the factory in real time; Production line IoT sensing module: used to collect real-time data from various equipment in the centralized feeding module, material storage module, logistics module, and assembly and testing sub-line, as well as monitoring data from the production line environment monitoring module and the production line personnel intelligent monitoring module; Production line integrated management and control module: includes planning management service, process management service, production scheduling service, logistics service, equipment control service, and intelligent decision-making service. It senses real-time data of the production system through the integrated production line IoT sensing module, and realizes the automated, flexible, and safe execution of the production system based on the workshop production plan and process procedures. Production line personnel can browse and operate the production line integrated management and control module through the workstation operation terminal.
[0007] Preferably, in the mounting and testing sub-line: The aforementioned flexible docking device for compartments, logistics conveyor line, assembly auxiliary robot, aircraft loading device, truss handling system, shape and quality parameter detection device, and test platform respectively include the upper system of the flexible docking device for compartments, the upper system of the logistics conveyor line, the upper system of the assembly auxiliary robot, the upper system of the aircraft loading device, the upper system of the truss handling system, the upper system of the shape and quality parameter detection device, and the upper system of the test platform. The host systems of the aforementioned devices all include device data acquisition interfaces and device control interfaces. The device data acquisition interface uses the Restful API standard to periodically send device data to the IoT sensing module of the production line. The device control interface uses the Restful API standard to support device control services to control the device based on unified scheduling commands.
[0008] Preferably, in the production line integrated management and control module: Planning and management services: Through the integration interface of the upstream system's industrial internet platform, obtain enterprise-level production road cards and generate workshop-level production plans based on workshop management rules; Process management service: Configure the final assembly production process and its steps in the production system. One process corresponds to one workstation, and one step corresponds to a set of automated operations or a series of continuous manual operations for one piece of equipment. Each set of automated operations has been registered in the equipment control service. Process management supports the creation of process programs for different models of fire-related aircraft, realizing the compatibility of the production system with different production processes. The production scheduling service adopts a dynamic scheduling method that combines a multi-evaluation network collaborative security near-end strategy optimization algorithm with a model predictive control framework, realizing the collaborative scheduling of logistics tasks, work order execution, personnel positioning and equipment control. Logistics services: Decompose and execute tasks from material-based logistics tasks to equipment-based tasks such as warehousing and inbound / outbound operations, AGV transfers, and workstation connections; Equipment control services: By integrating with the execution functions of various execution devices in the production system, automated equipment control based on scheduling instructions is realized, providing implementation support for the automated operation execution steps of equipment in process management services; Intelligent Decision-Making Service: By integrating with the IoT sensing module of the production line, it can acquire and analyze various information of the production system in real time, and conduct intelligent assessment and auxiliary decision-making based on rule-based + artificial intelligence big data model, such as excessive pyrotechnic equivalent, overstaffing, explosion safety, personal safety, production environment compliance, equipment failure prediction, and production bottleneck prediction.
[0009] Preferably, in the production line integrated management and control module: Develop and deploy using microservices technology.
[0010] Preferably, the intelligent decision-making service includes intelligent evaluation and decision support; its rules are as follows: Calculate the total equivalent of pyrotechnic materials in the assembly and testing sub-line, centralized feeding module, material storage module, and logistics module to determine whether the plant where the production system is located is storing excessive amounts of materials. The intelligent monitoring module for production line personnel obtains the number of personnel in each area of the production system, calculates the total number of personnel, and determines whether the factory where the production system is located is overcrowded. Based on the number of personnel in each area of the production system, and in conjunction with the tasks being performed by the assembly auxiliary robot and the gantry handling system, calculate whether the execution range of the production system personnel and the tasks of the two types of equipment intersect, thereby determining whether there are any potential personal safety hazards. The concentration of flammable and explosive gases and the particle size index at each detection point of the production system are obtained from the plant environmental monitoring unit to determine whether there is a risk of combustion and explosion in the production system. The temperature, humidity, light intensity, and concentration of toxic and harmful gases at various monitoring points in the production system are obtained from the plant environmental monitoring unit to determine the compliance of the production environment of the production system.
[0011] Preferably, the centralized feeding module, the fire-related product planar storage warehouse, the non-fire-related product three-dimensional storage warehouse, the compartment-type AGV, the full-explosive AGV, the logistics conveyor line, the flexible docking device, and the aircraft loading device all adopt the same height and specifications of roller structure to achieve unobstructed material flow across equipment based on standard brackets with zero lifting.
[0012] Preferably, the production line integrated management and control module is located in the same local area network as the production line environment monitoring module, the production line personnel intelligent monitoring module, the production line IoT sensing module, the upper-level system of the flexible docking device for the compartment, the upper-level system of the logistics conveyor line, the upper-level system of the assembly auxiliary robot, the upper-level system of the aircraft loading device, the upper-level system of the truss handling system, the upper-level system of the shape and quality parameter detection device, the centralized management system of the line-side warehouse, the AGV command and dispatch system, the compartment-type AGV, and the all-explosive AGV.
[0013] According to the present invention, an automated flexible safety production system for the final assembly of fire-prone aircraft is provided, which performs the following steps using the aforementioned automated flexible safety production system for the final assembly of fire-prone aircraft: Step S1: Receive production road cards from the upstream system and generate a workshop production plan; Step S2: Bind the workshop production plan to the process program, execute production scheduling, and calculate and generate production work orders; Step S3: Execute the production system self-inspection procedure. After passing the test, start production on the designated assembly and testing sub-line. Step S4: Calculate and generate logistics tasks and execute them; Step S5: Calculate and generate production process tasks, personnel positioning tasks, and equipment control tasks; Step S6: Start the operation; Step S7: After the required materials for the process are delivered, the relevant operations can be performed automatically or manually according to the process step settings. Step S8: After completing all steps, click "Complete" to automatically schedule the equipment to transfer the product to the next workstation; Step S9: Automatically calculate and generate logistics tasks, and execute them; Step S10: Work order completed.
[0014] Preferably, in step S3: Step S3.1: Extract the list of equipment required for production from the production process; Step S3.2: Check whether the assembly and testing sub-line is ready for production; the check items include whether there are work orders in production or waiting to be produced, whether the current production status supports the model to be produced, and whether the physical equipment corresponding to the assembly and testing sub-line in the equipment list obtained in step S3.1 is available; Step S3.3: Check whether the physical equipment in the corresponding logistics module in the equipment list obtained in step S3.1 is available and whether it meets the minimum production requirements; Step S3.4: Extract the list of supporting materials required for production from the production process.
[0015] Step S3.5: Check whether the supporting materials meet the minimum production requirements; check the physical inventory of the material storage module corresponding to the supporting material list obtained in step S3.4, and calculate whether the physical inventory is greater than the quantity of supporting materials for production. Step S3.6: Check whether the production line environment meets the requirements of the final assembly production process; Step S3.7: Check whether the number of production line personnel is higher than the minimum requirement in the final assembly production process.
[0016] Preferably, in step S4, the steps for executing the logistics task include: Step S4.1: Based on the logistics task information, the logistics service generates outbound tasks for fire-related products from a flat warehouse or for non-fire-related products from a three-dimensional warehouse, as well as empty AGV transfer tasks, AGV material transfer tasks, AGV material transport tasks, material transfer tasks for logistics conveyor lines or flexible docking devices in cargo compartments or for aircraft loading devices, and begins to execute outbound tasks for fire-related products from a flat warehouse or for non-fire-related products from a three-dimensional warehouse, and empty AGV transfer tasks. Step S4.2: The equipment control service schedules materials to be shipped from the designated storage location of the fire-related product planar storage warehouse according to the outbound task; it also schedules materials to be shipped from the designated storage location of the non-fire-related product automated storage warehouse according to the outbound task; and the logistics module schedules AGVs to move to each outbound port according to the AGV empty vehicle transfer task. The two tasks, the fire-related product planar storage warehouse outbound task or the non-fire-related product automated storage warehouse outbound task and the AGV empty vehicle transfer task, are executed in parallel. Step S4.3: Once the AGV has moved to the outbound port and the fire-related product planar storage warehouse or the non-fire-related product automated storage warehouse has completed its outbound task, the equipment control service executes the AGV material transfer task. Simultaneously, it starts the rollers of the fire-related product planar storage warehouse or the non-fire-related product automated storage warehouse and the AGV to move the outbound material onto the AGV. After the material has moved to the designated position on the AGV, the equipment control service sends a transfer stop command to the fire-related product planar storage warehouse or the non-fire-related product automated storage warehouse and the AGV. The two equipment rollers stop rolling, and the AGV locks the material carrier and lifts the limit mechanism. Step S4.4: The equipment control service executes the AGV material transfer task, delivering the supporting materials to the designated material transfer point; Step S4.5: The equipment control service executes the material transfer task of the logistics conveyor, the flexible docking device, or the aircraft loading device. The AGV unlocks the material carrier and lowers the limit mechanism. The logistics conveyor, flexible docking device, aircraft loading device, and AGV simultaneously start the rollers to move the material to the logistics conveyor, flexible docking device, or aircraft loading device. After the material moves to the designated position, the equipment control service sends a transfer stop command to the logistics conveyor, flexible docking device, aircraft loading device, and AGV. The rollers of both devices stop rolling.
[0017] Compared with the prior art, the present invention has the following beneficial effects: 1. The production system is designed for the full-equipment assembly of air defense fire-prone aircraft. Through production line environmental monitoring units, production line personnel intelligent monitoring units, production line IoT sensing modules, and production line integrated control modules, it effectively implements the safety management constraints of quantitative pyrotechnics and quantitative personnel in the sympathetic detonation assembly plant, and realizes a full-equipment assembly production system that meets safety requirements.
[0018] 2. By adopting a production system execution method with the production line integration and control module as the core, automated, flexible, scalable, intelligent scheduling, and safe production execution and management for the final assembly of fire-related aircraft have been achieved.
[0019] 3. Based on equipment and systems such as the assembly and testing sub-line, material storage module, logistics module, production line IoT sensing module, and production line integrated management and control module, the automatic creation and execution of tasks for equipment such as AGVs, fire-related product planar storage warehouses, non-fire-related product three-dimensional storage warehouses, and flexible docking devices for compartments have been realized, achieving intelligent logistics and distribution without human intervention.
[0020] 4. The majority of material handling adopts "rolling movement" based on roller structure, which greatly reduces the risk of product falling due to product hoisting; at the same time, it realizes zero personnel involvement in material handling, which greatly reduces the number of workers required for final assembly production. Attached Figure Description
[0021] Other features, objects, and advantages of the present invention will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings: Figure 1 This is a schematic diagram of the layout of the automated flexible safety production system for the final assembly of fire-related aircraft according to the present invention; Figure 2 This is a diagram illustrating the composition of the automated flexible safety production system for the final assembly of fire-prone aircraft according to the present invention. Figure 3 This invention is based on Figure 1 Flowchart of the layout execution method; Figure 4 This is a schematic diagram of material flow across equipment based on a roller structure.
[0022] Among them, 1 is a centralized material loading module, 2 is a non-fire-related product three-dimensional storage warehouse, 3 is a compartment-type AGV1, 4 is an intelligent torque tightening device 1-1, 5 is a workstation operation terminal 1-1, 6 is a compartment flexible docking device 1-workstation 1, 7 is an intelligent torque tightening device 1-2, 8 is a workstation operation terminal 1-2, 9 is a compartment flexible docking device 1-workstation 2, 10 is an intelligent torque tightening device 1-3, 11 is a workstation operation terminal 1-3, and 12 is a compartment flexible docking device 1-workstation 3. 3 is an assembly auxiliary robot 1-1, 14 is a logistics transmission line 1-1, 15 is a shape and quality parameter detection device 1, 16 is a workstation operation terminal 1-4, 17 is a logistics transmission line 1-2, 18 is an assembly auxiliary robot 1-2, 19 is an aircraft loading device 1, 20 is an intelligent torque tightening device 1-4, 21 is a workstation operation terminal 1-5, 22 is a gantry handling system 1, 23 is a fully elastic AGV 1, 24 is a testing platform 1, 25 is a fire-related product flat storage warehouse, 26 is a production... Product cache warehouse, 27 is a compartment-type AGV2, 28 is a gantry handling system2, 29 is a test platform2, 30 is a workstation operation terminal2-5, 31 is an intelligent torque tightening device2-4, 32 is an aircraft loading device2, 33 is a full-explosive AGV2, 34 is an assembly auxiliary robot2-2, 35 is a logistics transmission line2-2, 36 is a workstation operation terminal2-4, 37 is a shape and quality parameter detection device2, 38 is a workstation operation terminal2-3, and 39 is an intelligent torque tightening device2- 3, 40 are flexible docking devices for compartments 2-station 3, 41 is a station operation terminal 2-2, 42 is an intelligent torque tightening device 2-2, 43 is a flexible docking device for compartments 2-station 2, 44 is a logistics transmission line 2-1, 45 is an assembly auxiliary robot 2-1, 46 is a flexible docking device for compartments 2-station 1, 47 is a station operation terminal 2-1, 48 is an intelligent torque tightening device 2-1, 49 is a compartment-type AGV, 50 is a compartment product, 51 is a roller rail, and 52 is a pallet. Detailed Implementation
[0023] The present invention will now be described in detail with reference to specific embodiments. These embodiments will help those skilled in the art to further understand the present invention, but do not limit the invention in any way. It should be noted that those skilled in the art can make several changes and improvements without departing from the concept of the present invention. These all fall within the protection scope of the present invention.
[0024] Example 1: This invention provides an automated flexible safety production system for the final assembly of fire-prone aircraft and its execution method. The production system includes assembly and testing sub-line 1, assembly and testing sub-line 2, centralized material feeding unit, material storage unit, logistics unit, production line environment monitoring unit, production line personnel intelligent monitoring unit, production line IoT sensing module, and production line integrated management and control module. The material storage unit is located in the middle of the factory building and supplies both assembly and testing sub-lines 1 and 2. It includes a planar storage warehouse for fire-prone products, a three-dimensional storage warehouse for non-fire-prone products, a product buffer warehouse, and a centralized management system for the line-side warehouse. Assembly and testing sub-lines 1 and 2 are located on opposite sides of the factory building, arranged in a straight line, and each includes a flexible docking device for compartments, an assembly auxiliary robot, an aircraft loading device, a gantry handling system, a shape and quality parameter detection device, and a testing platform. The logistics unit includes compartment-type AGVs, full-capacity AGVs, and a logistics command and dispatch system. The production line integrated management and control module includes planning management services, process management services, logistics services, production scheduling services, equipment control services, and intelligent decision-making services.
[0025] The aforementioned execution method for the production system, such as Figures 1-4 As shown, it includes the following steps: Step S1: Receive production road cards from the upstream system and generate a workshop production plan; Step S2: Bind the workshop production plan to the process program, execute production scheduling, and calculate and generate production work orders; Step S3: Execute the production system self-test procedure. If it passes, automatically designate an available assembly and testing subline to start production. Step S4: Automatically calculate and generate logistics tasks, and execute the logistics tasks; Step S5: Automatically calculate and generate production process tasks, personnel positioning tasks, and equipment control tasks; Step S6: The operator starts the operation; Step S7: After the required materials for the process are delivered, the relevant operations can be performed automatically or manually according to the process step settings. Step S8: After completing all steps, click "Complete" to automatically schedule the equipment to transfer the product to the next workstation; Step S9: After all process tasks are completed, automatically calculate and generate logistics tasks, and execute them; Step S10: Work order completed.
[0026] Furthermore, the production system self-test procedure includes the following steps: Step S3.1: Extract the list of equipment required for production from the production process.
[0027] Step S3.2: Check whether assembly and testing sub-line 1 and assembly and testing sub-line 2 are ready for production. The check items include whether there are work orders in production or pending production, whether the current production status supports the pending production model, and whether all the physical equipment corresponding to the assembly and testing sub-line in the equipment list obtained in step S3.1 is available.
[0028] Step S3.3: Check whether the physical equipment of the corresponding logistics unit in the equipment list obtained in step S3.1 is available and whether it meets the minimum production requirements.
[0029] Step S3.4: Extract the list of supporting materials required for production from the production process.
[0030] Step S3.5: Check whether the supporting materials meet the minimum production requirements. Check the physical inventory of the material storage unit corresponding to the supporting material list obtained in step S3.4, and calculate whether the physical inventory is greater than the quantity of supporting materials for production.
[0031] Step S3.6: Check whether the production line environment meets the requirements of the final assembly production process.
[0032] Step S3.7: Check whether the number of production line personnel is higher than the minimum requirement in the final assembly production process.
[0033] Furthermore, the logistics task execution steps include: Step S4.1: Based on the logistics task information, the logistics service automatically generates and executes outbound tasks for fire-related products from a flat warehouse or non-fire-related products from a three-dimensional warehouse, empty AGV transfer tasks, AGV material transfer tasks, AGV material transport tasks, logistics conveyor line material transfer tasks, or flexible docking device material transfer tasks.
[0034] Step S4.2: Based on the outbound task of the fire-related product planar storage warehouse, the equipment control service schedules the outbound materials from the fire-related product planar storage warehouse to the designated storage location; based on the outbound task of the non-fire-related product automated storage warehouse, it schedules the outbound materials from the non-fire-related product automated storage warehouse to the designated storage location; based on the AGV empty vehicle transfer task, it schedules the logistics unit AGVs to move to each outbound port. The two tasks, the fire-related product planar storage warehouse outbound task or the non-fire-related product automated storage warehouse outbound task and the AGV empty vehicle transfer task, are executed in parallel. Step S4.3: Once the AGV has moved to the outbound port and the fire-related product storage area or the non-fire-related product storage area has completed its outbound task, the equipment control service executes the AGV material transfer task. Simultaneously, it activates the rollers of both the fire-related product storage area or the non-fire-related product storage area and the AGV to move the outbound material onto the AGV. After the material has moved to the designated position on the AGV, the equipment control service sends a transfer stop command to both the fire-related product storage area or the non-fire-related product storage area and the AGV. The two rollers stop rolling, and the AGV locks the material carrier and lifts the limit mechanism.
[0035] Step S4.4: The equipment control service executes the AGV material transfer task, delivering the supporting materials to the designated material transfer point.
[0036] Step S4.5: The equipment control service executes the material transfer task of the logistics conveyor or the flexible docking device. The AGV unlocks the material carrier and lowers the limit mechanism. The logistics conveyor or flexible docking device and the AGV simultaneously start rolling the rollers to move the material to the logistics conveyor or flexible docking device. After the material moves to the designated position, the equipment control service sends a transfer stop command to the logistics conveyor or flexible docking device and the AGV, and the rollers of both devices stop rolling.
[0037] Example 2: Example 2 is a preferred embodiment of Example 1, and is used to illustrate the present invention in more detail.
[0038] The present invention also provides an automated flexible safety production system for the final assembly of fire-prone aircraft. The automated flexible safety production system for the final assembly of fire-prone aircraft can be implemented by executing the process steps of the execution method of the automated flexible safety production system for the final assembly of fire-prone aircraft. That is, those skilled in the art can understand the execution method of the automated flexible safety production system for the final assembly of fire-prone aircraft as a preferred embodiment of the automated flexible safety production system for the final assembly of fire-prone aircraft.
[0039] The technical solution for implementing the present invention is as follows: An automated flexible safety production system for the final assembly of fire-prone aircraft includes an assembly and testing subline 1, an assembly and testing subline 2, a centralized material feeding unit, a material storage unit, a logistics unit, a production line environment monitoring unit, a production line personnel intelligent monitoring unit, a production line IoT sensing module, and a production line integrated control module.
[0040] The material storage unit is located in the middle of the plant and supplies both assembly and testing sub-line 1 and assembly and testing sub-line 2. It includes a fire-related product planar storage warehouse, a non-fire-related product three-dimensional storage warehouse, a product buffer warehouse, and a line-side warehouse centralized management system. The line-side warehouse centralized management system unifies the three line-side warehouses: the fire-related product planar storage warehouse, the non-fire-related product three-dimensional storage warehouse, and the product buffer warehouse. The assembly and testing sub-line 1 and assembly and testing sub-line 2 are located on both sides of the factory building and are arranged in a straight line. They respectively include a flexible docking device for the compartment, a logistics conveyor line, an assembly auxiliary robot, an aircraft loading device, a truss handling system, a shape and quality parameter detection device, and a testing platform. The logistics unit includes compartment-type AGVs, fully-equipped AGVs, and a logistics command and dispatch system; The plant environment monitoring unit includes an environmental monitoring composite sensor and a plant environment monitoring system, which monitors the temperature, humidity, light, dust, flammable and explosive gases, toxic and harmful gases, and oxygen concentration in the production system area in real time. The intelligent monitoring unit for production line personnel includes a personnel monitoring camera and an intelligent monitoring system for production line personnel, which is used to monitor the number of personnel in the factory in real time. The production line IoT sensing module is used to collect data in real time from various equipment in the centralized feeding unit, material storage unit, logistics unit, and assembly and testing sub-line, as well as data from the production line environment monitoring unit and the production line personnel intelligent monitoring unit. The production line integrated management and control module includes planning management services, process management services, production scheduling services, logistics services, equipment control services, and intelligent decision-making services. It senses real-time production line data through the integrated production line IoT sensing module and performs automated and safe management and control of the production system.
[0041] The planning management service obtains enterprise-level production road cards through the integration interface of the upstream system's industrial internet platform and generates workshop-level production plans based on workshop management rules. The process management service configures the production process route and its steps within the production system. One process corresponds to one workstation, and one step corresponds to a set of automated operations or a series of continuous manual operations on one piece of equipment. Each set of automated operations is registered in the equipment control service. Process management supports the creation of process programs for different models of fire-prone aircraft, achieving compatibility of the production system with different production processes. The production scheduling service adopts a dynamic scheduling method that combines a multi-evaluation network collaborative security near-end strategy optimization algorithm with a model predictive control framework, realizing the collaborative scheduling of logistics tasks, work order execution, personnel positioning and equipment control. Logistics services enable the breakdown and execution of tasks from material-based logistics to equipment-based tasks such as warehousing and inbound / outbound operations, AGV transfers, and workstation connections.
[0042] The equipment control service integrates with the execution functions of each execution device in the production system to realize automated equipment control based on scheduling instructions, providing implementation support for the automated operation execution steps of equipment in the process management service; The intelligent decision-making service, integrated with the production line IoT sensing module, can acquire and analyze various information from the production line in real time. It can perform intelligent assessments and assist in decision-making based on rule-based and AI-driven big data models, such as excessive pyrotechnic equivalent, overstaffing, explosion safety, personal safety, production environment compliance, equipment failure prediction, and production bottleneck prediction.
[0043] Furthermore, the aforementioned flexible docking device for compartments, logistics conveyor lines, assembly auxiliary robots, aircraft loading devices, truss handling systems, shape and quality parameter detection devices, and testing platforms each include a host system for the flexible docking device, a host system for the logistics conveyor lines, a host system for the assembly auxiliary robots, a host system for the aircraft loading devices, a host system for the truss handling systems, a host system for the shape and quality parameter detection devices, and a host system for the testing platform. The host systems for all of the above equipment include equipment data acquisition interfaces and equipment control interfaces. The equipment data acquisition interface uses the RESTful API standard to periodically send equipment data to the production line IoT sensing module, and the equipment control interface uses the RESTful API standard to support equipment control services that control the equipment based on unified scheduling commands.
[0044] Furthermore, the centralized feeding unit, the fire-related product planar storage warehouse, the non-fire-related product three-dimensional storage warehouse, the compartment-type AGV, the full-explosive AGV, the logistics conveyor line, the flexible docking device, and the aircraft loading device all adopt the same height and specifications of roller structure to achieve unimpeded material flow across equipment based on standard brackets with zero lifting.
[0045] Furthermore, the production line integration and management module is developed and deployed using microservice technology.
[0046] Furthermore, the rules for intelligent evaluation and decision support in the intelligent decision-making service include: Calculate the total equivalent of pyrotechnic materials in assembly and testing sub-line 1, assembly and testing sub-line 2, centralized feeding unit, material storage unit, and logistics unit, and determine whether the production system is overloaded. The number of personnel in each area of the production system is obtained from the intelligent monitoring unit of production line personnel, the total number of personnel is counted, and it is determined whether the production system is overstaffed. Based on the number of personnel in each area of the production system, and in conjunction with the tasks being performed by the assembly auxiliary robots and gantry handling systems, it is determined whether there are any potential personal safety hazards to the personnel in the production system. The concentration of flammable and explosive gases and the particle size index at each detection point of the production system are obtained from the plant environmental monitoring unit to determine whether there is a risk of combustion and explosion in the production system. The temperature, humidity, light intensity, and concentration of toxic and harmful gases at various monitoring points in the production system are obtained from the plant environmental monitoring unit to determine the compliance of the production environment of the production system.
[0047] Furthermore, the production line integrated management and control module is located within the same local area network as the production line environment monitoring system, the production line personnel intelligent monitoring system, the production line IoT sensing module, the upper-level system of the flexible docking device for the compartment, the upper-level system of the logistics conveyor line, the upper-level system of the assembly auxiliary robot, the upper-level system of the aircraft loading device, the upper-level system of the truss handling system, the upper-level system of the shape and quality parameter detection device, the centralized management system of the line-side warehouse, the AGV command and dispatch system, the compartment-type AGV, and the all-launch type AGV.
[0048] In the description of this application, it should be understood that the terms "upper", "lower", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this application.
[0049] Those skilled in the art will understand that, besides implementing the system and its various devices, modules, and units provided by this invention in the form of purely computer-readable program code, the same functions can be achieved entirely through logical programming of the method steps, making the system and its various devices, modules, and units of this invention function in the form of logic gates, switches, application-specific integrated circuits, programmable logic controllers, and embedded microcontrollers. Therefore, the system and its various devices, modules, and units provided by this invention can be considered as a hardware component, and the devices, modules, and units included therein for implementing various functions can also be considered as structures within the hardware component; alternatively, the devices, modules, and units for implementing various functions can be considered as both software modules implementing the method and structures within the hardware component.
[0050] Specific embodiments of the present invention have been described above. It should be understood that the present invention is not limited to the specific embodiments described above, and those skilled in the art can make various changes or modifications within the scope of the claims, which do not affect the essence of the present invention. Unless otherwise specified, the embodiments and features described in this application can be arbitrarily combined with each other.
Claims
1. An automated flexible safety production system for the final assembly of fire-prone aircraft, characterized in that, include: Assembly and testing sub-lines: Two assembly and testing sub-lines are located on both sides of the factory building, arranged in a straight line, and each includes a flexible docking device for compartments, a logistics conveyor line, an assembly auxiliary robot, an aircraft loading device, a truss handling system, a shape and quality parameter detection device, a test platform, and a workstation operation terminal. Centralized material loading module: Located in the loading and unloading area at the factory logistics entrance, it is used to place the materials entering the factory on standard trays, and then the logistics module automatically transfers them to the material storage module for storage; Material storage module: Located in the middle of the factory, it supplies two assembly and testing sub-lines at the same time. It includes a fire-related product planar storage warehouse, a non-fire-related product three-dimensional storage warehouse, a product buffer warehouse, and a line-side warehouse centralized management system. The line-side warehouse centralized management system uniformly manages the three line-side warehouses: the fire-related product planar storage warehouse, the non-fire-related product three-dimensional storage warehouse, and the product buffer warehouse. Logistics module: including compartment-type AGVs, full-capacity AGVs, and logistics command and dispatch system; providing logistics and distribution for two assembly and testing sub-lines, centralized loading module, and material storage module; Production line environmental monitoring module: includes environmental monitoring composite sensors and factory environmental monitoring system, which monitors temperature, humidity, light, dust, flammable and explosive gases, toxic and harmful gases, and oxygen concentration in real time within the production system range; Production line personnel intelligent monitoring module: includes factory personnel monitoring cameras and production line personnel intelligent monitoring system, used to monitor the number of personnel in the factory in real time; Production line IoT sensing module: used to collect real-time data from various equipment in the centralized feeding module, material storage module, logistics module, and assembly and testing sub-line, as well as monitoring data from the production line environment monitoring module and the production line personnel intelligent monitoring module; Production line integrated management and control module: including planning management service, process management service, production scheduling service, logistics service, equipment control service, and intelligent decision-making service. It senses real-time data of the production system through the integrated production line IoT sensing module, and realizes the automated, flexible, and safe execution of the production system based on the workshop production plan and process procedures; Production line personnel can browse and operate the production line integrated management and control module through the workstation operation terminal.
2. The automated flexible safety production system for the final assembly of fire-prone aircraft according to claim 1, characterized in that, In the aforementioned test and measurement sub-line: The aforementioned flexible docking device for compartments, logistics conveyor line, assembly auxiliary robot, aircraft loading device, truss handling system, shape and quality parameter detection device, and test platform respectively include the upper system of the flexible docking device for compartments, the upper system of the logistics conveyor line, the upper system of the assembly auxiliary robot, the upper system of the aircraft loading device, the upper system of the truss handling system, the upper system of the shape and quality parameter detection device, and the upper system of the test platform. The host systems of the aforementioned devices all include device data acquisition interfaces and device control interfaces. The device data acquisition interface uses the Restful API standard to periodically send device data to the IoT sensing module of the production line. The device control interface uses the Restful API standard to support device control services to control the device based on unified scheduling commands.
3. The automated flexible safety production system for the final assembly of fire-prone aircraft according to claim 1, characterized in that, In the production line integrated management and control module: Planning and management services: Through the integration interface of the upstream system's industrial internet platform, obtain enterprise-level production road cards and generate workshop-level production plans based on workshop management rules; Process management service: Configure the final assembly production process and its steps in the production system. One process corresponds to one workstation, and one step corresponds to a set of automated operations or a series of continuous manual operations for one piece of equipment. Each set of automated operations has been registered in the equipment control service. Process management supports the creation of process programs for different models of fire-related aircraft, realizing the compatibility of the production system with different production processes. The production scheduling service adopts a dynamic scheduling method that combines a multi-evaluation network collaborative security near-end strategy optimization algorithm with a model predictive control framework, realizing the collaborative scheduling of logistics tasks, work order execution, personnel positioning and equipment control. Logistics services: Decompose and execute tasks from material-based logistics tasks to equipment-based tasks such as warehousing and inbound / outbound operations, AGV transfers, and workstation connections; Equipment control services: By integrating with the execution functions of various execution devices in the production system, automated equipment control based on scheduling instructions is realized, providing implementation support for the automated operation execution steps of equipment in process management services; Intelligent Decision-Making Service: By integrating with the IoT sensing module of the production line, it can acquire and analyze various information of the production system in real time, and conduct intelligent assessment and auxiliary decision-making based on rule-based + artificial intelligence big data model, such as excessive pyrotechnic equivalent, overstaffing, explosion safety, personal safety, production environment compliance, equipment failure prediction, and production bottleneck prediction.
4. The automated flexible safety production system for the final assembly of fire-prone aircraft according to claim 1, characterized in that, In the production line integrated management and control module: Develop and deploy using microservices technology.
5. The automated flexible safety production system for the final assembly of fire-prone aircraft according to claim 3, characterized in that: The intelligent decision-making service includes intelligent evaluation and decision support; its rules are as follows: Calculate the total equivalent of pyrotechnic materials in the assembly and testing sub-line, centralized feeding module, material storage module, and logistics module to determine whether the plant where the production system is located is storing excessive amounts of materials. The intelligent monitoring module for production line personnel obtains the number of personnel in each area of the production system, calculates the total number of personnel, and determines whether the factory where the production system is located is overcrowded. Based on the number of personnel in each area of the production system, and in conjunction with the tasks being performed by the assembly auxiliary robot and the gantry handling system, calculate whether the execution range of the production system personnel and the tasks of the two types of equipment intersect, thereby determining whether there are any potential personal safety hazards. The concentration of flammable and explosive gases and the particle size index at each detection point of the production system are obtained from the plant environmental monitoring unit to determine whether there is a risk of combustion and explosion in the production system. The temperature, humidity, light intensity, and concentration of toxic and harmful gases at various monitoring points in the production system are obtained from the plant environmental monitoring unit to determine the compliance of the production environment of the production system.
6. The automated flexible safety production system for the final assembly of fire-prone aircraft according to claim 1, characterized in that: The centralized feeding module, the fire-related product planar storage warehouse, the non-fire-related product three-dimensional storage warehouse, the compartment-type AGV, the full-explosive AGV, the logistics conveyor line, the flexible docking device, and the aircraft loading device all adopt the same height and specifications of roller structure to achieve zero-lift and unobstructed flow of materials across equipment based on standard brackets.
7. The automated flexible safety production system for the final assembly of fire-prone aircraft according to claim 1, characterized in that: The production line integrated management and control module is located on the same local area network as the production line environment monitoring module, the production line personnel intelligent monitoring module, the production line IoT sensing module, the upper-level system of the flexible docking device for the compartment, the upper-level system of the logistics conveyor line, the upper-level system of the assembly auxiliary robot, the upper-level system of the aircraft loading device, the upper-level system of the truss handling system, the upper-level system of the shape and quality parameter detection device, the centralized management system of the line-side warehouse, the AGV command and dispatch system, the compartment-type AGV, and the all-explosive AGV.
8. A method for executing an automated flexible safety production system for the final assembly of a fire-prone aircraft, characterized in that, The automated flexible safety production system for the final assembly of fire-prone aircraft, as described in any one of claims 1-7, performs the following: Step S1: Receive production road cards from the upstream system and generate a workshop production plan; Step S2: Bind the workshop production plan to the process program, execute production scheduling, and calculate and generate production work orders; Step S3: Execute the production system self-test procedure. Once it passes, start production on the designated assembly and testing sub-line. Step S4: Calculate and generate logistics tasks and execute them; Step S5: Calculate and generate production process tasks, personnel positioning tasks, and equipment control tasks; Step S6: Start the operation; Step S7: After the required materials for the process are delivered, the relevant operations can be performed automatically or manually according to the process step settings. Step S8: After completing all steps, click "Complete" to automatically schedule the equipment to transfer the product to the next workstation; Step S9: Automatically calculate and generate logistics tasks, and execute them; Step S10: Work order completed.
9. The execution method of the automated flexible safety production system for the final assembly of fire-prone aircraft according to claim 8, characterized in that, In step S3: Step S3.1: Extract the list of equipment required for production from the production process; Step S3.2: Check whether the assembly and testing sub-line is ready for production; the check items include whether there are work orders in production or waiting to be produced, whether the current production status supports the model to be produced, and whether the physical equipment corresponding to the assembly and testing sub-line in the equipment list obtained in step S3.1 is available; Step S3.3: Check whether the physical equipment in the corresponding logistics module in the equipment list obtained in step S3.1 is available and whether it meets the minimum production requirements; Step S3.4: Extract the list of supporting materials required for production from the production process. Step S3.5: Check whether the supporting materials meet the minimum production requirements; The physical inventory of the material storage module corresponding to the supporting material list obtained in step S3.4 is checked, and it is calculated whether the physical inventory is greater than the quantity of supporting materials for production. Step S3.6: Check whether the production line environment meets the requirements of the final assembly production process; Step S3.7: Check whether the number of production line personnel is higher than the minimum requirement in the final assembly production process.
10. The execution method of the automated flexible safety production system for the final assembly of fire-prone aircraft according to claim 8, characterized in that, In step S4, the steps for executing the logistics task include: Step S4.1: Based on the logistics task information, the logistics service generates outbound tasks for fire-related products from a flat warehouse or for non-fire-related products from a three-dimensional warehouse, as well as empty AGV transfer tasks, AGV material transfer tasks, AGV material transport tasks, material transfer tasks for logistics conveyor lines or flexible docking devices in cargo compartments or for aircraft loading devices, and begins to execute outbound tasks for fire-related products from a flat warehouse or for non-fire-related products from a three-dimensional warehouse, and empty AGV transfer tasks. Step S4.2: The equipment control service schedules materials to be shipped from the designated storage location of the fire-related product planar storage warehouse according to the outbound task; it also schedules materials to be shipped from the designated storage location of the non-fire-related product automated storage warehouse according to the outbound task; and the logistics module schedules AGVs to move to each outbound port according to the AGV empty vehicle transfer task. The two tasks, the fire-related product planar storage warehouse outbound task or the non-fire-related product automated storage warehouse outbound task and the AGV empty vehicle transfer task, are executed in parallel. Step S4.3: Once the AGV has moved to the outbound port and the fire-related product planar storage warehouse or the non-fire-related product automated storage warehouse has completed its outbound task, the equipment control service executes the AGV material transfer task. Simultaneously, it starts the rollers of the fire-related product planar storage warehouse or the non-fire-related product automated storage warehouse and the AGV to move the outbound material onto the AGV. After the material has moved to the designated position on the AGV, the equipment control service sends a transfer stop command to the fire-related product planar storage warehouse or the non-fire-related product automated storage warehouse and the AGV. The two equipment rollers stop rolling, and the AGV locks the material carrier and lifts the limit mechanism. Step S4.4: The equipment control service executes the AGV material transfer task, delivering the supporting materials to the designated material transfer point; Step S4.5: The equipment control service executes the material transfer task of the logistics conveyor, the flexible docking device, or the aircraft loading device. The AGV unlocks the material carrier and lowers the limit mechanism. The logistics conveyor, flexible docking device, aircraft loading device, and AGV simultaneously start the rollers to move the material to the logistics conveyor, flexible docking device, or aircraft loading device. After the material moves to the designated position, the equipment control service sends a transfer stop command to the logistics conveyor, flexible docking device, aircraft loading device, and AGV. The rollers of both devices stop rolling.
Citation Information
Patent Citations
Automatic assembly system for pasting special-shaped buffer foam on flexible substrate
CN117325465A