Automatic automobile part assembling system

Abstract

The invention discloses an automatic automobile part assembly system, which relates to the technical field of automobile part assembly, and comprises a material supply module, an assembly module, a pose detection module, a control system module, an assembly quality control module and a data analysis optimization module, and the material supply module is used for conveying required raw materials and parts from a stock bin to an assembly point, and real-time tracking and monitoring of the parts are realized by distributing a unique RFID identifier for each part, so that transparency and traceability of the assembly process are ensured. Through the material supply module, rapid and accurate material conveying is achieved, manual intervention is reduced, the material supply efficiency is improved, continuous operation of a production line is ensured, unique RFID identifications are distributed to all parts, the materials are identified and managed, material flowing is tracked, the radio frequency identification technology is applied in the part assembling process, and the production efficiency is improved. And each part can be accurately identified and the circulation process of the part can be recorded.

Description

Technical Field

[0001] The invention relates to the technical field of automobile parts assembly, in particular to an automatic automobile parts assembly system. Background Art

[0002] With the rapid development of the automobile industry, the automated assembly of auto parts has become an important means to improve production efficiency and quality. It aims to improve production efficiency, reduce costs, and improve product quality. Automated auto parts assembly is an important means to enhance the competitiveness of the manufacturing industry. Although it faces some challenges, the high efficiency and high-quality returns it brings have enabled more and more automakers to continuously promote automation transformation.

[0003] However, in the process of automated assembly lines, due to the large number of spare parts, complex production processes, numerous product lines and accessories, there is a tendency for planning and manufacturing to be out of touch, which leads to errors in the assembly of automotive parts. In traditional production information monitoring systems, a large amount of production information needs to be collected, managed and applied, making it difficult to monitor parts assembly in real time, which can easily lead to errors and failures in parts assembly, resulting in serious consequences. Summary of the invention

[0004] The purpose of the present invention is to provide an automated automobile parts assembly system to solve the problem raised in the above background technology that due to a large number of spare parts, complex production processes, numerous product lines and accessories, there is a disconnection between planning and manufacturing, which leads to errors in the assembly of automobile parts. In traditional production information monitoring systems, a large amount of production information needs to be collected, managed and applied, making it difficult to monitor the assembly of parts in real time, which easily leads to serious consequences due to errors and failures in the assembly of parts.

[0005] To achieve the above-mentioned object, the present invention provides the following technical solutions: an automated automobile parts assembly system, comprising a material supply module, an assembly module, a posture detection module, a control system module, an assembly quality control module and a data analysis and optimization module; The material supply module is used to transport the required raw materials and parts from the silo to the assembly point. By assigning a unique RFID tag to each part, real-time tracking and monitoring of the parts is achieved to ensure transparency and traceability of the assembly process. The assembly module is used to perform the assembly and installation of various parts and components, ensuring that each part is assembled correctly according to the standard and sequence; The posture detection module is used to monitor various assembly dynamics in real time through cameras and image processing technology to detect the posture and integrity of parts; The control system module is responsible for the coordination and management of the entire assembly system, ensuring the coordinated operation of each module, and providing a visual operation interface to allow staff to monitor and control the assembly process; The assembly quality control module is used to perform real-time inspection on each component during the assembly process to ensure quality, and transmit the inspection data to the central database for analysis; The data analysis and optimization module is used for real-time data collection, storage and analysis during the assembly of automobile parts, to assist decision-making and improve production processes.

[0006] Preferably, the material supply module includes a material storage management module, an automatic material feeding module, an identification management module and a data integration communication module; The material storage management module is used to store various parts and raw materials, and track and manage material inventory, supply and consumption; The automatic feeding module is used to transport different materials through feeding equipment; The identification management module assigns a unique RFID identification to each component to identify and manage materials and track material flow; The data integration communication module is used to monitor the feeding status in real time and transmit material data remotely.

[0007] Preferably, the assembly module includes an assembly workstation, an assembly equipment module, a transmission module and a safety protection module; The assembly workstation is used to set the assembly process flow and provide assembly of different vehicle models and parts; The assembly equipment module is used to perform assembly operations of parts and components through automated robots and automated assembly tools; The transport module is used to move parts and finished products between various workstations to ensure the continuity of the assembly line; The safety protection module is used to set up safety fences and light barriers, and is equipped with an emergency stop button to quickly respond to emergency situations.

[0008] Preferably, the posture detection module includes a sensor module and a processing unit; The sensor module is used to obtain image data of an object through a camera, extract the position and posture information of the object in conjunction with an image processing algorithm, emit a laser beam through a laser detector and analyze the time and intensity of the reflected light to obtain the precise position of the object; The processing unit is used to process the data obtained by the sensor in real time, use computer vision and machine learning algorithms to calculate the posture, and ensure the correct positioning of the product during assembly or processing through posture detection.

[0009] Preferably, the control system module includes a positioning calibration module, a real-time monitoring module and an automatic control module; The positioning and calibration module is used to realize accurate positioning and calibration of parts during the assembly process by using sensors and control units; The real-time monitoring module is used to monitor the entire assembly line in real time and provide a graphical monitoring interface so that users can view the assembly process, alarm information and equipment status in real time; The automatic control module is used to automatically control each assembly link according to preset logic.

[0010] Preferably, the assembly quality control module includes a real-time quality monitoring module, a defect monitoring and alarm module, a data recording module and a qualified judgment module; The real-time quality monitoring module is used to track various quality indicators in the assembly process in real time and promptly detect assembly abnormalities; The defect monitoring and alarm module is used to automatically detect assembly defects through vision and sensor systems, identify abnormal conditions and issue an alarm to prompt the operator to intervene; The data recording module records the quality data of each assembly link; The qualified judgment module is used to judge whether the assembled parts are qualified or not according to the set standards and rules.

[0011] Preferably, the data analysis and optimization module includes a data acquisition and storage module and a data analysis module; The data acquisition and storage module is used to collect data in the production process in real time and store it in a local database; The data analysis module analyzes assembly production data to analyze data trends, patterns and anomalies and identify potential problems.

[0012] Preferably, the data analysis and optimization module also includes a decision support module and a stability analysis module; The decision support module provides feasible optimization suggestions based on the data analysis results; The stability analysis module uses variance analysis to verify the stability of the optimized assembly system.

[0013] Compared with the prior art, the present invention has the following beneficial effects: 1. In the present invention, the material supply module is used to realize fast and accurate material transportation, reduce human intervention, improve feeding efficiency, and ensure the continuous operation of the production line. By assigning a unique RFID tag to each component, the materials are identified and managed, and the material flow is tracked. The radio frequency identification technology is applied in the component assembly process, which can accurately identify each component and record its circulation process.

[0014] 2. In the present invention, the posture detection module is used to monitor the assembly dynamics in real time to ensure the accurate posture of each component, reduce assembly defects caused by position errors, improve assembly quality, and cooperate with the assembly quality control module to perform real-time quality inspection on each component to detect problems in time, reduce the defect rate, avoid component assembly errors and failures, and improve the overall quality and reliability of the product.

[0015] 3. In the present invention, by collecting and analyzing production data, problems in the production process are identified, optimization suggestions are provided, data-driven decision-making is achieved, production efficiency is improved and continuous optimization of product quality is achieved, and the stability of the optimized assembly system is verified by variance analysis to ensure that the optimized assembly system maintains excellent stability. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 The system block diagram of an automated automobile parts assembly system of the present invention.

[0017] In the figure: 1. Material supply module; 2. Assembly module; 3. Posture detection module; 31. Sensor module; 32. Processing unit; 4. Control system module; 5. Assembly quality control module; 51. Real-time quality monitoring module; 52. Defect monitoring and alarm module; 53. Data recording module; 54. Qualification judgment module; 6. Data analysis and optimization module; 61. Data acquisition and storage module; 62. Data analysis module; 63. Decision support module; 64. Stability analysis module. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the implementation regulations described are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0019] Reference Figure 1 As shown: an automated automobile parts assembly system, comprising a material supply module 1, an assembly module 2, a posture detection module 3, a control system module 4, an assembly quality control module 5 and a data analysis and optimization module 6; The material supply module 1 is used to transport the required raw materials and parts from the silo to the assembly point. By assigning a unique RFID tag to each part, real-time tracking and monitoring of the parts is achieved, ensuring the transparency and traceability of the assembly process, achieving fast and accurate material transportation, reducing human intervention, improving feeding efficiency, and ensuring the continuous operation of the production line; specifically, it includes a material storage management module, an automatic feeding module, an identification management module, and a data integration communication module; The material storage management module is used to store various parts and raw materials, and track and manage material inventory, supply and consumption; The automatic feeding module is used to transport different materials through feeding equipment; the identification management module assigns a unique RFID identification to each component to identify and manage materials and track material flow; the data integration communication module is used to monitor the feeding status in real time and transmit material data remotely; The assembly module 2 is used to perform the assembly and installation of each component to ensure that each part is assembled correctly according to the standard and sequence; specifically, it includes an assembly workstation, an assembly equipment module, a transmission module and a safety protection module; The assembly workstation is used to set the assembly process and provide assembly of different models and parts; the assembly equipment module is used to perform the assembly operation of parts through automated robots and automated assembly tools; the transmission module is used to move parts and finished products between various workstations to ensure the continuity of the assembly line; the safety protection module is used to set up safety fences and light barriers, and configure emergency stop buttons to quickly respond to emergencies; The posture detection module 3 is used to monitor various assembly dynamics in real time through cameras and image processing technology, detect the posture and integrity of parts, ensure the accurate posture of each part by real-time monitoring of assembly dynamics, reduce assembly defects caused by position errors, and improve assembly quality; specifically, it includes a sensor module 31 and a processing unit 32; The sensor module 31 is used to obtain the image data of the object through the camera, extract the position and posture information of the object with the help of the image processing algorithm, and obtain the precise position of the object by emitting a laser beam through the laser detector and analyzing the time and intensity of the reflected light; The processing unit 32 is used to process the data obtained by the sensor in real time, use computer vision and machine learning algorithms to calculate the posture, and ensure the correct positioning of the product during assembly or processing through posture detection; The control system module 4 is responsible for the coordination and management of the entire assembly system, ensuring the coordinated operation of each module, providing a visual operation interface, allowing staff to monitor and control the assembly process, and ensuring the smoothness and efficiency of the production process by coordinating the work of each module, and improving the response speed and stability of the system through real-time monitoring; specifically, it includes a positioning calibration module, a real-time monitoring module, and an automatic control module; The positioning and calibration module is used to use sensors and control units to achieve accurate positioning and calibration of parts during the assembly process; The real-time monitoring module is used to monitor the entire assembly line in real time, providing a graphical monitoring interface so that users can view the assembly process, alarm information and equipment status in real time; The automatic control module is used to automatically control each assembly link according to the preset logic; The assembly quality control module 5 is used to perform real-time inspection on each component during the assembly process to ensure the quality is qualified, and transmit the inspection data to the central database for analysis, and perform real-time quality inspection on each component to find problems in time, reduce the defect rate, and improve the overall quality and reliability of the product; specifically, it includes a real-time quality monitoring module 51, a defect monitoring and alarm module 52, a data recording module 53 and a qualified judgment module 54; The real-time quality monitoring module 51 is used to track various quality indicators in the assembly process in real time and promptly detect assembly abnormalities; The defect monitoring alarm module 52 is used to automatically detect assembly defects through vision and sensor systems, identify abnormal conditions and issue an alarm to prompt the operator to intervene; The data recording module 53 records the quality data of each assembly link; The qualified judgment module 54 is used to judge whether the assembled parts are qualified or not according to the set standards and rules; The data analysis and optimization module 6 is used for real-time data collection, storage and analysis in the process of automobile parts assembly, assisting decision-making and improving production processes. By collecting and analyzing production data, problems in the production process are identified, optimization suggestions are provided, data-driven decision-making is achieved, and continuous optimization of production efficiency and product quality is improved. Specifically, it includes a data collection and storage module 61, a data analysis module 62, a decision support module 63 and a stability analysis module 64; The data acquisition and storage module 61 is used to collect data from the production process in real time and store it in a local database; The data analysis module 62 analyzes the assembly production data to analyze data trends, patterns and anomalies to identify potential problems; The decision support module 63 provides feasible optimization suggestions based on the data analysis results; The stability analysis module 64 uses variance analysis to verify the stability of the optimized assembly system.

[0020] In the present invention, the material supply module 1 is used to achieve fast and accurate material transportation, reduce human intervention, improve feeding efficiency, and ensure the continuous operation of the production line. By assigning a unique RFID tag to each component, the material is identified and managed, and the material flow is tracked. The radio frequency identification technology is applied in the component assembly process to accurately identify each component and record its flow process. The posture detection module 3 is used to monitor the assembly dynamics in real time to ensure the accurate posture of each component, reduce poor assembly due to position errors, and improve assembly quality. The assembly quality control module 5 is used to perform real-time quality inspection on each component to detect problems in a timely manner, reduce the defect rate, and improve the overall quality and reliability of the product. By collecting and analyzing production data, problems in the production process are identified, optimization suggestions are provided, data-driven decision-making is achieved, and production efficiency and continuous optimization of product quality are improved.

[0021] Although the present invention has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments, or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. An automated automobile parts assembly system, characterized in that: It includes a material supply module (1), an assembly module (2), a posture detection module (3), a control system module (4), an assembly quality control module (5) and a data analysis and optimization module (6); The material supply module (1) is used to transport the required raw materials and parts from the silo to the assembly point, and to achieve real-time tracking and monitoring of the parts by assigning a unique RFID tag to each part, thereby ensuring the transparency and traceability of the assembly process; The assembly module (2) is used to assemble and install each component to ensure that each component is assembled correctly according to standards and sequence; The posture detection module (3) is used to monitor various assembly dynamics in real time through cameras and image processing technology, and detect the posture and integrity of parts; The control system module (4) is responsible for the coordination and management of the entire assembly system, ensuring the coordinated operation of each module, and providing a visual operation interface to allow staff to monitor and control the assembly process; The assembly quality control module (5) is used to perform real-time inspection on each component during the assembly process to ensure quality, and transmit the inspection data to the central database for analysis; The data analysis and optimization module (6) is used to collect, store and analyze real-time data during the automobile parts assembly process, assist decision-making and improve the production process.

2. The automated automobile parts assembly system according to claim 1, characterized in that: The material supply module (1) comprises a material storage management module, an automatic material supply module, an identification management module and a data integration communication module; The material storage management module is used to store various parts and raw materials, and track and manage material inventory, supply and consumption; The automatic feeding module is used to transport different materials through feeding equipment; The identification management module assigns a unique RFID identification to each component to identify and manage materials and track material flow; The data integration communication module is used to monitor the feeding status in real time and transmit material data remotely.

3. The automated automobile parts assembly system according to claim 1, characterized in that: The assembly module (2) comprises an assembly workstation, an assembly equipment module, a transmission module and a safety protection module; The assembly workstation is used to set the assembly process flow and provide assembly of different vehicle models and parts; The assembly equipment module is used to perform assembly operations of parts and components through automated robots and automated assembly tools; The transport module is used to move parts and finished products between various workstations to ensure the continuity of the assembly line; The safety protection module is used to set up safety fences and light barriers, and is equipped with an emergency stop button to quickly respond to emergency situations.

4. The automated automobile parts assembly system according to claim 1, characterized in that: The posture detection module (3) comprises a sensor module (31) and a processing unit (32); The sensor module (31) is used to obtain image data of an object through a camera, extract the position and posture information of the object in cooperation with an image processing algorithm, emit a laser beam through a laser detector and analyze the time and intensity of the reflected light to obtain the precise position of the object; The processing unit (32) is used to process the data acquired by the sensor in real time, use computer vision and machine learning algorithms to calculate the posture, and ensure the correct positioning of the product during assembly or processing through posture detection.

5. The automated automobile parts assembly system according to claim 1, characterized in that: The control system module (4) comprises a positioning calibration module, a real-time monitoring module and an automatic control module; The positioning and calibration module is used to realize accurate positioning and calibration of parts during assembly by using sensors and control units; The real-time monitoring module is used to monitor the entire assembly line in real time and provide a graphical monitoring interface so that users can view the assembly process, alarm information and equipment status in real time; The automatic control module is used to automatically control each assembly link according to preset logic.

6. The automated automobile parts assembly system according to claim 1, characterized in that: The assembly quality control module (5) comprises a real-time quality monitoring module (51), a defect monitoring and alarm module (52), a data recording module (53) and a qualified determination module (54); The real-time quality monitoring module (51) is used to track various quality indicators in the assembly process in real time and promptly detect assembly abnormalities; The defect monitoring alarm module (52) is used to automatically detect assembly defects through a visual and sensor system, identify abnormal conditions and issue an alarm to prompt an operator to intervene; The data recording module (53) records the quality data of each assembly link; The qualified judgment module (54) is used to judge whether the assembled parts are qualified or not according to the set standards and rules.

7. The automated automobile parts assembly system according to claim 1, characterized in that: The data analysis and optimization module (6) comprises a data acquisition and storage module (61) and a data analysis module (62); The data acquisition and storage module (61) is used to collect data in the production process in real time and store it in a local database; The data analysis module (62) analyzes assembly production data to analyze data trends, patterns and anomalies, and identifies potential problems.

8. The automated automobile parts assembly system according to claim 7, characterized in that: The data analysis and optimization module (6) further includes a decision support module (63) and a stability analysis module (64); The decision support module (63) provides feasible optimization suggestions based on the data analysis results; The stability analysis module (64) uses a variance analysis method to verify the stability of the optimized assembly system.

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