AGV and visual guidance combined intelligent manufacturing method and system for automobile door and cover parts

Abstract

The invention provides an AGV and visual guidance combined intelligent manufacturing method and system for automobile door and cover parts, the manufacturing method takes AGV and visual guidance as the core, firstly, materials are fed to a production line through the AGV, the materials are loaded to an automatic line body for production through a robot or manual work, then the door and cover parts are offline and framed through the robot or manual work, and the production efficiency is improved. And finally, the AGV intelligently transfers to a storage area. When a door cover needs to be installed on an automobile coming from the adjusting line, the AGV system automatically calls materials according to the queue and transfers the door cover pieces in the storage area to the adjusting line, an adjusting line robot completes automatic grabbing and automatic installation of the automobile door cover pieces in combination with visual guide piece grabbing and visual automobile body guiding, and unmanned production, storage, transferring and installation of the automobile door cover pieces are achieved. Through intelligent scheduling, high-precision positioning, visual identification and RFID technologies, the problems that a traditional production line depends on manpower, and is low in efficiency and poor in flexibility are solved, and full-process automation and flexible production are achieved.

Description

Technical Field

[0001] The present invention relates to the field of automobile intelligent manufacturing, and in particular to an intelligent manufacturing method and system for automobile door cover parts combining AGV and vision guidance. Background Art

[0002] The current international environment is severe and complex, and the risks and challenges of the domestic and foreign economic environment are increasing. The automotive industry is undergoing a huge transformation and change: new car-making forces are rising strongly, the marketization of new energy vehicles is accelerating, the pace of intelligent digitalization is accelerating, and the profitability of auto companies is further weakened. How to improve product competitiveness, reduce costs, improve efficiency, and increase profits is the main guarantee for enterprises to resist internal and external pressures, smoothly pass the transition period, and achieve long-term sustainable development. At present, in the field of traditional automobile door manufacturing and production, there are problems such as manual transportation, manual loading and manual installation, which lead to large project investment, low production efficiency and unstable quality. Therefore, there is an urgent need for an intelligent manufacturing method to realize unmanned intelligent transportation, intelligent feeding and intelligent installation of automobile door covers. Summary of the invention

[0003] In view of the defects in the prior art, the purpose of the present invention is to provide an intelligent manufacturing method and system for automobile door cover parts combining AGV and vision guidance. With AGV and vision guidance as the core, unmanned production, storage, transportation and installation of automobile door cover parts can be realized. Through intelligent scheduling, high-precision positioning, visual recognition and RFID technology, the problems of traditional production lines relying on manual labor, low efficiency and poor flexibility can be solved, and full-process automation and flexible production can be realized.

[0004] In order to achieve the above technical effects, the present invention adopts the following technical solutions:

[0005] According to a first aspect of the present invention, there is provided a method for intelligent manufacturing of automobile door cover parts combining AGV and vision guidance, comprising the following steps:

[0006] Step S1: The production line is divided into multiple independent "production islands" responsible for the production of different parts. Each production island area is equipped with a downline area; a door cover storage area is set between different production islands; at the same time, 126 AGV storage locations and 1024 landmarks are deployed in the production workshop, covering the production line, storage area and adjustment line; the central control system monitors the empty or full frame status of different AGV storage locations in real time;

[0007] Step S2: The production line sends a loading request to the central control system according to the production queue. The central control system allocates the nearest idle AGV to retrieve a full-frame rack from the storage location. The AGV stops at the loading port of the production line through the ground positioning mechanism, and the robot grabs the material loaded on the full-frame rack.

[0008] Step S3. Use robots or manual labor to move materials online on the production island to complete processing and production;

[0009] Step S4. The robot frames the processed door cover parts. After receiving the full frame signal, the AGV transfers the door cover parts to the storage area and stores them according to vehicle types through RFID identification.

[0010] Step S5. When a car on the adjustment line needs to be equipped with a door cover, the MES (manufacturing execution system) analyzes the production queue on the adjustment line, generates a material call instruction, and displays the production queue and the model and quantity of the door cover to be installed on the EP screen to realize advance material call; if the system detects that the car body and the door cover do not match, the queue is manually corrected through the EP interface;

[0011] Step S6. The AGV transfers the door cover parts from the storage area to the adjustment line according to the material call instruction. The adjustment line robot combines visual guidance to grasp the parts and visual vehicle body guidance to complete the automatic grasping and automatic installation of the door cover parts.

[0012] Optionally, the production island includes a right front door production line, a right rear door production line, a left rear door production line, a left front door production line, a tailgate production line and a bonnet production line.

[0013] Optionally, the positioning accuracy of the ground positioning mechanism is ±0.5 mm.

[0014] Optionally, the material rack can carry 10 door cover parts when it is full, and is equipped with a push-pull cylinder to extend the arm span of the robot.

[0015] Optionally, the matching accuracy of the vision-guided gripper and the door cover member is matched with the vision-guided system, and the vision-guided gripper is provided with a rack block push arm, which can realize automatic opening of the rack block and complete automatic grasping and transfer of the door cover member on the rack.

[0016] According to a second aspect of the present invention, there is provided an intelligent manufacturing system for automobile door cover parts combining AGV and vision guidance, which is used to implement the above-mentioned intelligent manufacturing method for automobile door cover parts combining AGV and vision guidance.

[0017] Compared with the prior art, the present invention has the following beneficial effects:

[0018] The intelligent manufacturing method and system of automobile door cover parts combined with AGV and vision guidance provided by the present invention realizes unmanned intelligent transportation, intelligent feeding and intelligent installation of automobile door covers, solves the problems of large project investment, low production efficiency and unstable quality caused by manual transportation, manual loading and manual installation in traditional automobile door production, and shortens the introduction cycle of new models. The visually guided grabber can flexibly grab the panels in the material frame, reduce the input of loading personnel and equipment, and improve the production capacity of the line. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Other features, objects and advantages of the present invention will become more apparent from the detailed description of non-limiting embodiments made with reference to the following drawings:

[0020] Figure 1 This is a schematic diagram of an intelligent manufacturing workshop for automobile door cover parts combining AGV and vision guidance described in the first embodiment;

[0021] Figure 2 This is a flowchart of the steps of the intelligent manufacturing method for automobile door cover parts combining AGV and vision guidance described in the first embodiment. DETAILED DESCRIPTION

[0022] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. The components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various different configurations.

[0023] Therefore, the following detailed description of the embodiments of the present application provided in the accompanying drawings is not intended to limit the scope of the present application for which protection is sought, but merely represents selected embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in the field without creative work are within the scope of protection of the present application.

[0024] It should be noted that similar numbers and letters represent similar items in the following figures. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in the subsequent figures. In addition, all directional indications in this application (such as up, down, left, right, front, back, bottom...) are only used to explain the relative position relationship, movement, etc. between the components under a certain specific posture (as shown in the figures). If the specific posture changes, the directional indication will also change accordingly. Furthermore, the descriptions involving "first", "second", etc. in the application are only for descriptive purposes and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of technical features indicated.

[0025] First Embodiment

[0026] like Figure 1 , Figure 2As shown, this embodiment provides an intelligent manufacturing method for automobile door covers that combines AGV and vision guidance. The method uses AGV (automatic guided vehicle) and vision guidance as the core to realize unmanned production, storage, transportation and installation of automobile door covers (right front door, left front door, tailgate, etc.). Through intelligent scheduling, high-precision positioning, visual recognition and RFID technology, the problems of traditional production lines relying on manual labor, low efficiency and poor flexibility are solved, and full-process automation and flexible production are realized. Specifically, the following steps are included:

[0027] Step S1. Production line layout and AGV logistics planning

[0028] Step 1.1: Design of production line partitions; Figure 1 The workshop schematic diagram shown in the figure divides the production line into multiple independent "production islands" (such as the right front door production line, the left rear door production line, the tailgate production line, etc.), and each production island is responsible for the production of specific parts. AGV intelligently transfers materials between production islands to form a distributed production network. Figure 1 As shown, the production island includes a right front door production line 1, a right rear door production line 3, a left rear door production line 4, a left front door production line 5, a tailgate production line 6 and a cover production line 7, and a door cover storage area 2 is arranged between the above production lines. At the same time, each production island area is provided with a downline area.

[0029] Step 1.2: AGV storage locations and landmark deployment: 126 AGV storage locations and 1024 landmarks are deployed in the production workshop, covering the production area, storage area, offline area, and adjustment and installation area. The central control system monitors the empty or full frame status of different AGV storage locations in real time and supports dynamic scheduling.

[0030] Step S2. Material delivery and line coordination

[0031] Step 2.1: AGV responds to loading request

[0032] The production line (such as the "right front door production line" of production island 1) sends a loading request to the central control system according to the production queue. The central control system allocates the nearest idle AGV, retrieves the full-frame material rack of the corresponding model from the storage location (a single material rack can carry 10 door cover parts), and the AGV stops at the loading port of the line through the ground positioning mechanism (±0.5mm accuracy).

[0033] The central control system can display the status of all storage locations (empty / full / occupied) in real time, and automatically assign AGV tasks according to production needs, that is, the central control system can intelligently dispatch AGVs to enter and exit the material racks at any storage location in the working area. Traditional AGV applications generally use point-to-point without disengaging the vehicle to complete logistics operations, with a single application scenario, and rely on increasing the number of AGVs to achieve multi-scenario applications. This solution supports entry and exit of any storage location through intelligent scheduling and allocation by the central control system, reduces the number of AGVs, and reduces hardware costs. AGV requests entry and exit from the line body, and is positioned through the ground positioning mechanism with an accuracy of ±0.5mm, so that materials of different models can be automatically called and put on the line according to production needs, and the production line body and AGV logistics are seamlessly connected. In addition, AGV can also automatically match storage locations according to vehicle model codes (such as SUVs and sedans) to ensure that materials of different models are stored independently to avoid mixing.

[0034] Step 2.2: Robot grabs and loads materials

[0035] The robot on the production line grabs the door cover parts loaded on the full-frame rack. The rack is equipped with push-pull cylinders to extend the robot's arm reach.

[0036] Step S3. Production island processing and visual quality control

[0037] Step 3.1: Multi-process integrated production

[0038] Robots or humans bring materials online on the production island to complete production processes such as stamping, welding, and gluing.

[0039] Step 3.2: Vision-guided real-time correction

[0040] The visual system takes real-time photos of the key dimensions of the door cover (such as hole positions and edges) and compares them with the CAD model. When the deviation exceeds the limit, the central control system adjusts the subsequent processing parameters or marks the workpiece as a return. The visual data is fed back to the MES (manufacturing execution system) to optimize the production queue (such as giving priority to models with low pass rates).

[0041] Step S4. Finished product offline and intelligent storage

[0042] The robot frames the finished door cover parts. After receiving the signal, the AGV transfers the door cover parts to the door cover parts storage area 2 and stores them by vehicle type (such as SUV left front door and sedan tailgate) through RFID identification. The AGV writes and reads the vehicle type on the tag body through RFID, realizing material storage and transfer between 126 storage locations, and preventing material mixing after manual movement of the material rack.

[0043] Step S5. Vision-guided installation and closed-loop feedback

[0044] Step 5.1: Visually Guided Installation

[0045] When a car on adjustment line 18 needs to be installed with door covers, the MES (manufacturing execution system) analyzes the production queue, and the AGV interacts with the MES to read the production queue and analyze the door cover model and quantity that matches the body according to the model code rules. The production queue and the door cover model and quantity to be installed are displayed visually on the EP screen to realize advance material calling. If the system detects that the body and the door cover do not match (such as RFID information error), the queue is manually corrected through the EP interface.

[0046] The AGV automatically calls for materials according to the queue and transfers the door cover parts from the door cover storage area 2 to the adjustment line 18. The robot uses vision to locate the installation points 8 of each door cover part on the adjustment line. The door cover parts are grasped by a vision-guided gripper (±0.1mm accuracy) and installed in combination with the 3D scanning data of the vehicle body.

[0047] Among them, the matching accuracy of the vision-guided gripper and the panel is matched with the vision-guided system. The gripper is designed with a rack block push arm, which can realize the automatic opening of the rack block and complete the automatic grasping and transfer of the door cover panel on the rack.

[0048] During the entire door cover production process, the transfer and loading are carried out using a combination of AGV and vision guidance to achieve unmanned loading of the automated line, unmanned transfer, and seamless automatic interaction between logistics and the line. At the same time, it can shorten the implementation cycle of new vehicle model projects, without adding turntables, fixtures, robots, etc., with low secondary investment costs and reducing the number of loading personnel.

[0049] Second Embodiment

[0050] This embodiment provides an automobile door cover intelligent manufacturing system combining AGV and vision guidance, which is used to implement the automobile door cover intelligent manufacturing method combining AGV and vision guidance described in the first embodiment.

[0051] The above describes the specific embodiments of the present invention. Based on the above description, relevant personnel can make various changes and modifications without departing from the technical concept of the present invention.

Claims

1. An intelligent manufacturing method for automobile door cover parts combining AGV and vision guidance, characterized in that: The following steps are involved: Step S1: The production line is divided into multiple independent "production islands" responsible for the production of different parts. Each production island area is equipped with a downline area; a door cover storage area is set between different production islands; at the same time, 126 AGV storage locations and 1024 landmarks are deployed in the production workshop, covering the production line, storage area and adjustment line; the central control system monitors the empty or full frame status of different AGV storage locations in real time; Step S2: The production line sends a loading request to the central control system according to the production queue. The central control system allocates the nearest idle AGV to retrieve a full-frame rack from the storage location. The AGV stops at the loading port of the production line through the ground positioning mechanism, and the robot grabs the material loaded on the full-frame rack. Step S3. Use robots or manual labor to move materials online on the production island to complete processing and production; Step S4. The robot frames the processed door cover parts. After receiving the full frame signal, the AGV transfers the door cover parts to the storage area and stores them according to vehicle types through RFID identification. Step S5. When a car on the adjustment line needs to be equipped with a door cover, the MES (manufacturing execution system) analyzes the production queue on the adjustment line, generates a material call instruction, and displays the production queue and the model and quantity of the door cover to be installed on the EP screen to realize advance material call; if the system detects that the car body and the door cover do not match, the queue is manually corrected through the EP interface; Step S6. The AGV transfers the door cover parts from the storage area to the adjustment line according to the material call instruction. The adjustment line robot combines visual guidance to grasp the parts and visual vehicle body guidance to complete the automatic grasping and automatic installation of the door cover parts.

2. The intelligent manufacturing method for automobile door cover parts combining AGV and vision guidance according to claim 1 is characterized in that: The production island includes the right front door production line, the right rear door production line, the left rear door production line, the left front door production line, the tailgate production line and the bonnet production line.

3. The intelligent manufacturing method for automobile door cover parts combining AGV and vision guidance according to claim 1 is characterized in that: The positioning accuracy of the ground positioning mechanism is ±0.5 mm.

4. The intelligent manufacturing method for automobile door cover parts combining AGV and vision guidance according to claim 1 is characterized in that: The material rack can carry 10 door cover parts when it is full, and is equipped with push-pull cylinders for extending the arm span of the robot.

5. The intelligent manufacturing method for automobile door cover parts combining AGV and vision guidance according to claim 1 is characterized in that: The matching accuracy of the vision-guided gripper and the door cover piece is matched with the vision-guided system. The vision-guided gripper is provided with a rack block push arm, which can realize automatic opening of the rack block and complete automatic grasping and transfer of the door cover piece on the rack.

6. An intelligent manufacturing system for automobile door cover parts combining AGV and vision guidance, characterized in that: A smart manufacturing method for automobile door cover parts combining AGV and vision guidance for implementing any one of claims 1 to 5.

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