A transport equipment automated production line

Abstract

The application discloses a kind of transport equipment automated production line, comprising: assembly workstation, the quantity of the assembly workstation is several and is evenly distributed in same side along production line path;Intelligent warehousing unit, the intelligent warehousing unit is located in the feeding end of the assembly workstation side, for providing material for the assembly workstation;Intelligent detection unit is located at the end of production line, the discharge end of the intelligent detection unit is equipped with unqualified product outlet and qualified product outlet, central control system, the central control system includes demand analysis module, path planning module, interlock control module, monitoring and early warning module and data traceability module in, it is related to the field of automated equipment manufacturing technology, flexible production capacity significantly improves: by modular assembly station and logic control architecture, the quick switching production of more than a variety of above type transport equipment is realized, production line adjustment cycle shortens, equipment utilization improves.

Description

Technical Field

[0001] This invention relates to the field of automated equipment manufacturing technology, specifically to an automated production line for transportation equipment. Background Technology

[0002] Currently, the transportation equipment manufacturing industry generally adopts fixed assembly lines or discrete workstation production models. While these assembly lines have a relatively simple overall structure and layout, facilitating maintenance and production, and are highly efficient when producing single-specification products, in actual production, they suffer from poor flexibility. The production line struggles to quickly adapt to mixed-flow production of different models and configurations, resulting in long changeover times. Furthermore, some processes rely on manual labor, making it difficult to guarantee consistent assembly quality, creating bottlenecks in production efficiency and high labor costs. Additionally, the level of information technology in production is weak, making it difficult to collect and trace production status, material consumption, and quality data in real time, creating "information silos." Summary of the Invention

[0003] To address the shortcomings of existing technologies, this invention provides an automated production line for transportation equipment, which solves the problems of poor flexibility and relatively low production efficiency in existing fixed assembly lines or discrete workstation production modes.

[0004] To achieve the above objectives, the present invention provides the following technical solution: an automated production line for transportation equipment, comprising: An assembly workstation, wherein the number of the assembly workstations is several and they are evenly distributed on the same side along the production line path; An intelligent storage unit is located on one side of the material feeding end of the assembly workstation and is used to provide materials to the assembly workstation. The intelligent detection unit is located at the end of the production line. The discharge end of the intelligent detection unit is equipped with a non-conforming product outlet and a conforming product outlet. Both the non-conforming product outlet and the conforming product outlet are equipped with an AGC feeding shuttle and an automatic stacking robot. The central control system includes a demand analysis module, a path planning module, an interlock control module, a monitoring and early warning module, and a data traceability module.

[0005] In some embodiments, the assembly workstation is provided with a plurality of assembly stations, and each assembly station is equipped with a collaborative robot and a vision guidance system. The working end of the collaborative robot is equipped with a quick-change tool tray, which can automatically switch between electric screwdrivers, electric wrenches, grippers, and glue gun end effectors. The visual positioning system adopts a laser SLAM + 3D camera composite positioning method. The central control system adjusts the motion trajectory and assembly process of the collaborative robot to adapt to the assembly requirements of different models of transportation equipment.

[0006] In some embodiments, the intelligent warehousing unit includes an RFID material identification module, an automated sorting robot, and an automated storage and retrieval system. The RFID material identification module is used to read component tag information and upload it to the central control system. The automated sorting robot transfers materials to the corresponding assembly station based on the scheduling instructions of the central control system.

[0007] In some embodiments, the intelligent detection unit includes a mechanical performance detection module, an electronic function detection module, and an environmental adaptability detection module; The mechanical performance testing module uses a pressure sensor and a laser rangefinder to detect the material's load-bearing capacity and operational stability. The electronic function detection module detects the communication link and operating parameters of the navigation system and power drive unit. The environmental adaptability testing module simulates high and low temperature and humid environments to conduct reliability tests.

[0008] In some embodiments: The demand parsing module receives production order information, decomposes it into a material requirement list and process execution parameters, and calls the corresponding assembly element logic in the storage table. The path planning module uses an improved algorithm to plan material transfer paths based on the real-time load status of each workstation, coordinates the running sequence of assembly workstations, and avoids path conflicts. The interlock control module analyzes the execution sequence relationship between each element logic, generates interlock code, and integrates it into the production line execution logic. The monitoring and early warning module collects production data in real time through sensors (including temperature, vibration, and pressure sensors) distributed in each unit. When the data exceeds the preset threshold, it immediately sends an early warning message to the operation and maintenance terminal and recommends the optimal handling solution. The data traceability module records key component information, assembly parameters, and testing data to form a unique product traceability code, supporting data query throughout the entire product lifecycle.

[0009] In some embodiments, the AGC feeding shuttle and the automatic stacking robot communicate with the central control system via industrial Ethernet to realize automated warehousing and outbound scheduling of finished products.

[0010] In some embodiments, the collaborative robot is equipped with a force feedback sensor, which automatically stops the robot and adjusts the assembly posture when the assembly force exceeds a preset threshold, thereby avoiding damage to the parts.

[0011] In some embodiments, the intelligent detection unit further includes a defect image recognition module, which analyzes the image data collected during the detection process based on a deep learning algorithm to automatically identify defects such as surface scratches and assembly misalignments of parts.

[0012] Beneficial effects: Significantly enhanced flexible production capabilities: Through modular assembly stations and logic control architecture, rapid switching between multiple models of transportation equipment is achieved, shortening the production line adjustment cycle and improving equipment utilization. Production efficiency is greatly improved: the central control system enables precise coordination of various processes, reduces the proportion of material transfer waiting time, and shortens the production cycle of a single transportation device; Product quality is controllable and traceable: By combining a full-process data traceability system with a high-precision testing system, the product defect rate can be effectively controlled, and the traceability coverage of key components reaches 100%. Labor costs are significantly reduced: the production line has an automation rate of over 90%, which reduces the number of operators compared to traditional production lines, while shifting workers from repetitive labor to high-end tasks such as equipment monitoring and parameter optimization. Attached Figure Description

[0013] Fig. 1 This is a schematic diagram of the process of the present invention.

[0014] Fig. 2 This is a flowchart illustrating the central control system of the present invention. Detailed Implementation

[0015] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0016] Please see Figs. 1-2 The present invention provides a technical solution: an automated production line for transportation equipment, comprising: Assembly workstations, there are several assembly workstations, and they are evenly distributed on the same side along the production line path; The intelligent storage unit is located on one side of the material feeding end of the assembly workstation and is used to provide materials to the assembly workstation. The intelligent detection unit is located at the end of the production line. The discharge end of the intelligent detection unit has an outlet for unqualified products and an outlet for qualified products. Both the outlet for unqualified products and the outlet for qualified products are equipped with an AGC feeding shuttle and an automatic stacking robot. The central control system includes a demand analysis module, a path planning module, an interlock control module, a monitoring and early warning module, and a data traceability module.

[0017] The central control system uses an Intel Core i7 processor and runs on a Linux operating system. The meta-logic storage table contains 15 types of standard assembly meta-logic and 8 types of material transfer meta-logic. It supports the editing and import of custom meta-logic and adopts a 5G+ edge computing architecture. Edge nodes process real-time production data locally, with a data transmission latency of ≤50ms. Even if the network is interrupted, each unit can continue to complete the current production task based on the locally cached execution logic.

[0018] Intelligent warehousing unit: Equipped with multiple sets of three-dimensional racks and multiple automatic sorting robots, the RFID material identification module has a reading distance of 0-5m and an identification speed of ≤0.1 seconds / piece.

[0019] The assembly workstation is equipped with multiple reconfigurable assembly stations, each equipped with a KUKA KR AGILUS six-axis collaborative robot (with repeatability accuracy ±0.03mm). The vision positioning system uses SICK LiDAR and Basler 3D cameras to achieve automated assembly of the chassis, navigation module, and power unit. In some embodiments, the assembly workstation is provided with several assembly stations, and each assembly station is equipped with a collaborative robot and a vision guidance system. The collaborative robot's working end is equipped with a quick-change tool tray, which can automatically switch between electric screwdrivers, electric wrenches, grippers, and glue gun end effectors. The visual positioning system adopts a laser SLAM + 3D camera composite positioning method. The central control system adjusts the motion trajectory and assembly process of the collaborative robot to adapt to the assembly requirements of different models of transportation equipment.

[0020] In some embodiments, the intelligent warehousing unit includes an RFID material identification module, an automated sorting robot, and an automated storage and retrieval system. The RFID material identification module is used to read component tag information and upload it to the central control system. The automated sorting robot transfers materials to the corresponding assembly station based on the scheduling instructions of the central control system.

[0021] In some embodiments, the intelligent detection unit includes a mechanical performance detection module, an electronic function detection module, and an environmental adaptability detection module; The mechanical performance testing module uses pressure sensors and laser rangefinders to test the material's load-bearing capacity and operational stability. The electronic function testing module detects the communication links and operating parameters of the navigation system and power drive unit. The environmental adaptability testing module simulates high and low temperature and humid environments to conduct reliability tests.

[0022] In some embodiments: The demand parsing module receives production order information, breaks it down into a material requirement list and process execution parameters, and calls the corresponding assembly element logic in the storage table. The path planning module uses an improved algorithm to plan material transfer paths based on the real-time load status of each workstation, coordinates the running sequence of assembly workstations, and avoids path conflicts. The interlock control module analyzes the execution sequence relationship between various logic elements, generates interlock code, and integrates it into the production line execution logic. The monitoring and early warning module collects production data in real time through sensors (including temperature, vibration, and pressure sensors) distributed in each unit. When the data exceeds the preset threshold, it immediately sends an early warning message to the operation and maintenance terminal and recommends the optimal handling solution. The data traceability module records key component information, assembly parameters, and testing data to form a unique product traceability code, supporting data query throughout the entire product lifecycle.

[0023] In some embodiments, the AGC feeding shuttle and the automatic stacking robot communicate with the central control system via industrial Ethernet to achieve automated warehousing and outbound scheduling of finished products.

[0024] In some embodiments, the collaborative robot is equipped with a force feedback sensor, which automatically stops the robot and adjusts the assembly posture when the assembly force exceeds a preset threshold, thereby avoiding damage to the parts.

[0025] In some embodiments, the intelligent detection unit further includes a defect image recognition module, which analyzes the image data collected during the detection process based on a deep learning algorithm to automatically identify defects such as surface scratches and assembly misalignments of parts. The defect image recognition module uses a ResNet-50 deep learning model.

[0026] Production preparation stage: The demand analysis module of the central control system receives production orders, breaks them down into material requirements list and process execution parameters, and calls the corresponding chassis assembly meta-logic and navigation module integration meta-logic. Material transfer stage: The RFID material identification module of the intelligent warehousing unit reads the component tag information, the automatic sorting robot transfers the materials to the corresponding workstation of the modular assembly station based on the scheduling instructions, and the path planning module plans the optimal transfer path. Modular assembly stage: The vision positioning system accurately positions the materials, the collaborative robot completes the assembly operation according to the integrated execution logic, the force feedback sensor monitors the assembly force in real time, and automatically adjusts the posture when the force exceeds the specified value; the interlock control module ensures that the navigation module is installed only after the chassis assembly is completed, and the process connection error is ≤1 second; Intelligent testing phase: The assembled transport equipment enters the intelligent testing unit. The mechanical performance testing module tests the chassis load-bearing capacity and running stability; the electronic function testing module verifies the positioning accuracy (±10mm) and communication link stability of the navigation system; the environmental adaptability testing module simulates a 40℃ and 85% humidity environment for 2 hours of reliability testing; and the defect image recognition module automatically identifies surface defects. Finished product processing stage: Qualified products are delivered by AGC feeding shuttle and automatic stacking robot for qualified product export, while unqualified products are delivered to designated areas by AGC feeding shuttle and automatic stacking robot for unqualified product export. Production switching phase: When different models of transport equipment need to be produced, the production line can be quickly switched by modifying the assembly unit logic and workstation parameters through the central control system, without the need to adjust the mechanical structure.

[0027] It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, the phrase "comprising an element defined as..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0028] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. An automated production line for transportation equipment, characterized in that, include: An assembly workstation, wherein the number of the assembly workstations is several and they are evenly distributed on the same side along the production line path; An intelligent storage unit is located on one side of the material feeding end of the assembly workstation and is used to provide materials to the assembly workstation. The intelligent detection unit is located at the end of the production line. The discharge end of the intelligent detection unit is equipped with a non-conforming product outlet and a conforming product outlet. Both the non-conforming product outlet and the conforming product outlet are equipped with an AGC feeding shuttle and an automatic stacking robot. The central control system includes a demand analysis module, a path planning module, an interlock control module, a monitoring and early warning module, and a data traceability module.

2. The automated production line for transportation equipment according to claim 1, characterized in that, The assembly workstation is equipped with several assembly stations, and each assembly station is equipped with a collaborative robot and a vision guidance system. The working end of the collaborative robot is equipped with a quick-change tool tray, which can automatically switch between electric screwdrivers, electric wrenches, grippers, and glue gun end effectors. The visual positioning system adopts a laser SLAM + 3D camera composite positioning method. The central control system adjusts the motion trajectory and assembly process of the collaborative robot to adapt to the assembly requirements of different models of transportation equipment.

3. The automated production line for transportation equipment according to claim 1, characterized in that, The intelligent warehousing unit includes an RFID material identification module, an automatic sorting robot, and a three-dimensional rack. The RFID material identification module is used to read the tag information of the parts and upload it to the central control system. The automatic sorting robot transfers the materials to the corresponding assembly station based on the scheduling instructions of the central control system.

4. The automated production line for transportation equipment according to claim 1, characterized in that, The intelligent detection unit contains a mechanical performance detection module, an electronic function detection module, and an environmental adaptability detection module; The mechanical performance testing module uses a pressure sensor and a laser rangefinder to detect the material's load-bearing capacity and operational stability. The electronic function detection module detects the communication link and operating parameters of the navigation system and power drive unit. The environmental adaptability testing module simulates high and low temperature and humid environments to conduct reliability tests.

5. An automated production line for transportation equipment according to claim 1, characterized in that: The demand parsing module receives production order information, decomposes it into a material requirement list and process execution parameters, and calls the corresponding assembly element logic in the storage table. The path planning module uses an improved algorithm to plan material transfer paths based on the real-time load status of each workstation, coordinates the running sequence of assembly workstations, and avoids path conflicts. The interlock control module analyzes the execution sequence relationship between each element logic, generates interlock code, and integrates it into the production line execution logic. The monitoring and early warning module collects production data in real time through sensors (including temperature, vibration, and pressure sensors) distributed in each unit. When the data exceeds the preset threshold, it immediately sends an early warning message to the operation and maintenance terminal and recommends the optimal handling solution. The data traceability module records key component information, assembly parameters, and testing data to form a unique product traceability code, supporting data query throughout the entire product lifecycle.

6. An automated production line for transportation equipment according to claim 1, characterized in that, The AGC feeding shuttle and the automatic stacking robot communicate with the central control system via industrial Ethernet to realize automated warehousing and outbound scheduling of finished products.

7. An automated production line for transportation equipment according to claim 2, characterized in that, The collaborative robot is equipped with a force feedback sensor. When the assembly force exceeds a preset threshold, it will automatically stop and adjust its assembly posture to avoid damage to the parts.

8. An automated production line for transportation equipment according to claim 1, characterized in that, The intelligent detection unit also includes a defect image recognition module, which analyzes the image data collected during the detection process based on deep learning algorithms to automatically identify defects such as surface scratches and assembly misalignments of parts.

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