An adaptive control system for an automobile parts stamping production line

Abstract

The application discloses a kind of self-adapting control systems for automobile parts stamping production line, it is related to equipment control technical field, initial setting module is used to determine target automobile parts in processing process, and the operating parameters corresponding to target automobile parts are determined based on control platform;Data acquisition module is connected with initial setting module, for controlling stamping equipment according to operating parameters by control platform, obtains processing data in processing process and is transmitted to control platform;Analysis module is connected with data acquisition module, for inputting processing data into product quality prediction model, predicting the quality information of product, determining the operating parameters to be optimized according to quality information and obtaining optimized parameters.The application guarantees the safety and accuracy of data transmission process, guarantees subsequent processing quality of target automobile parts by processing data analysis, and more accurately controls stamping equipment.

Description

Technical Field

[0001] This invention relates to the field of equipment control technology, and more specifically to an adaptive control system for an automotive parts stamping production line. Background Technology

[0002] As a core link in the manufacturing industry, automotive parts production is upgrading from traditional "mass production" to "flexible and intelligent manufacturing." Stamping, a key forming technology for automotive body panels (such as doors and hoods), directly impacts vehicle quality and manufacturing costs due to its production efficiency, precision, and stability. With the increasing prevalence of new energy vehicles and lightweight materials (such as high-strength steel and aluminum alloys), the complexity of parts structures is rising, placing higher demands on the adaptive adjustment capabilities of stamping production lines (such as dynamic optimization of process parameters). Traditional production lines employ a single-point transmission model of "equipment-gateway-server." If this transmission link is physically damaged or monitored, data tampering or leakage can easily occur, leading to deviations in subsequent optimization parameter analysis. This, in turn, can result in incorrect control of the stamping equipment, causing automotive parts to fail to meet requirements. Summary of the Invention

[0003] The purpose of this invention is to provide an adaptive control system for an automotive parts stamping production line to address the shortcomings in the prior art.

[0004] To achieve the above objectives, the present invention provides the following technical solution: an adaptive control system for an automotive parts stamping production line, comprising:

[0005] The initial setup module is used to identify the target automotive parts that are being processed and to determine the corresponding operating parameters for the target automotive parts based on the control platform.

[0006] The data acquisition module, connected to the initial setting module, is used to control the stamping equipment according to the operating parameters through the control platform, process the target automotive parts, acquire processing data during the processing, and transmit it to the control platform through the honeycomb channel. The honeycomb channel includes multiple honeycomb points, docking points, multiple free contact lines, and multiple contact lines.

[0007] The analysis module, connected to the data acquisition module, is used to input processing data into the product quality prediction model, predict product quality information, determine the operation parameters to be optimized based on the quality information, and obtain the optimization parameters.

[0008] The control module, connected to the analysis module, is used by the control platform to regulate the stamping equipment by optimizing parameters.

[0009] In a preferred embodiment, the initial setup module includes:

[0010] The formulation unit is used to identify multiple automotive parts, formulate corresponding operating parameters based on each automotive part, and associate the operating parameters with the corresponding automotive parts and store them in the control platform.

[0011] The matching unit is used to identify the automotive parts currently being processed as target automotive parts and to match the corresponding operating parameters of the target automotive parts based on the control platform.

[0012] In a preferred embodiment, the data acquisition module includes:

[0013] The processing unit is used to control the platform to send the operation parameters to the corresponding stamping equipment for control, and to process the target automotive parts through the stamping equipment;

[0014] The data acquisition and transmission unit is used to acquire processing data of the target automotive parts during the processing based on sensors, and transmit the processing data to the control platform based on the sensors.

[0015] In a preferred embodiment, the acquisition and transmission unit includes:

[0016] The building block is used to establish a pupa channel between the sensor and the control platform;

[0017] The packaging unit is used to collect processing data of the target automotive parts during the processing based on sensors, and to process the processing data into a data chain through packaging.

[0018] The transmission switching connection unit is used to transmit the data link through the cellular channel. During the transmission process, the corresponding contact line is switched according to the safety status of the cellular point until the data link is transmitted to the control platform.

[0019] In a preferred embodiment, the building unit includes:

[0020] The transmission setting unit is used to establish a regional network between the control platform and each corresponding sensor, and to set up multiple contact lines in the regional network, wherein the contact lines include a connection channel and contacts at both ends of the connection channel;

[0021] The connection setting unit is used to stagger multiple honeycomb points between the control platform and each corresponding sensor, connect the sensor to the contact in a single contact line, connect multiple honeycomb points to the contact in the contact line, and connect all the honeycomb points in sequence through multiple contact lines to form a Z-shaped network deployment, which is directly connected to the control platform through the contact lines.

[0022] Backup network unit, used to set up multiple docking points and multiple free contact lines in the local area network.

[0023] In a preferred embodiment, the transmission switching connection unit includes:

[0024] The monitoring unit is used to transmit the data link through the connected contact line via the sensor. During the data link transmission, it obtains the security status of multiple cellular points. If a cellular point is not accessed by the network, it means that the security status is normal and the connection structure of the cellular channel remains unchanged. If a cellular point is accessed by the network, it means that the security status is abnormal.

[0025] The first switching unit is used when the cellular point is in an abnormal state. If there is a data link being transmitted in the network access contact line, the network access cellular point and the two connected contact lines will be disconnected, the free contact line and the docking point will be switched, the switched free contact line will be connected to the network access cellular point through the contact, and the switched docking point will be connected to the other contact of the free contact line.

[0026] The second switching unit is used when a cellular point is in an abnormal state. If there is no data link being transmitted in the network access contact line, the abnormal cellular point is disconnected from the contact line that is not being accessed by the network, the disconnected contact line that is not being accessed by the network is connected to an adjacent cellular point, and the network access contact line is disconnected from other cellular points and the connection docking point is switched until the data link is transmitted to the control platform.

[0027] In a preferred embodiment, the analysis module includes:

[0028] The model training unit is used to train the convolutional neural network based on historical production data, which includes historical processing data and corresponding quality information, to obtain a trained product quality prediction model.

[0029] The analysis unit is used to input real-time collected processing data into the product quality prediction model, output quality information, determine the defects of the target automotive parts based on the quality information, and formulate optimization parameters based on the defects of the target automotive parts.

[0030] In a preferred embodiment, the control module includes:

[0031] The feedback unit is used to transmit optimized parameters to the stamping equipment through the honeycomb channel via the control platform;

[0032] The processing unit is used by the stamping equipment to process the target automotive parts according to optimized parameters.

[0033] The technical effects and advantages provided by the present invention in the above technical solution are as follows:

[0034] This invention enables the free construction of transmission channels between interconnected wires and cellular points in a local area network, ensuring smooth and secure data transmission, guaranteeing the security and accuracy of data during transmission, and ensuring that subsequent processing data analysis of target automotive parts allows for more precise control of stamping equipment. Attached Figure Description

[0035] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this invention. For those skilled in the art, other drawings can be obtained based on these drawings.

[0036] Figure 1 This is a system block diagram of the present invention. Detailed Implementation

[0037] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, 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, 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.

[0038] Example 1, please refer to Figure 1 As shown in this embodiment, an adaptive control system for an automotive parts stamping production line includes:

[0039] The initial setup module is used to identify the target automotive parts that are being processed and to determine the corresponding operating parameters for the target automotive parts based on the control platform.

[0040] The data acquisition module, connected to the initial setting module, is used to control the stamping equipment according to the operating parameters through the control platform, process the target automotive parts, acquire processing data during the processing, and transmit it to the control platform through the honeycomb channel. The honeycomb channel includes multiple honeycomb points, docking points, multiple free contact lines, and multiple contact lines.

[0041] The analysis module, connected to the data acquisition module, is used to input processing data into the product quality prediction model, predict product quality information, determine the operation parameters to be optimized based on the quality information, and obtain the optimization parameters.

[0042] The control module, connected to the analysis module, is used by the control platform to regulate the stamping equipment by optimizing parameters.

[0043] It should be noted that in the local area network, touch-sensitive wires and cellular points can freely establish transmission channels, ensuring smooth and secure data transmission, guaranteeing the security and accuracy of data during transmission, and ensuring that subsequent processing data analysis of target automotive parts can lead to more precise control of stamping equipment.

[0044] In one embodiment, the initial setup module includes:

[0045] The formulation unit is used to identify multiple automotive parts, formulate corresponding operating parameters based on each automotive part, and associate the operating parameters with the corresponding automotive parts and store them in the control platform.

[0046] The matching unit is used to identify the automotive parts currently being processed as target automotive parts and to match the corresponding operating parameters of the target automotive parts based on the control platform.

[0047] It should be noted that during each processing of automotive parts, the long-term use of the stamping equipment may cause issues with the operating accuracy of the equipment according to the working parameters. Therefore, it is necessary to analyze the actual processing data to obtain optimized parameters. The working parameters set here are the optimized parameters of the stamping equipment in the last processing of the target automotive part, which are the working parameters closest to the current processing state of the equipment. Each time, the optimized parameters of the last corresponding target automotive part are updated to the working parameters stored in the control platform. Each time automotive parts are processed, the working parameters of the corresponding target automotive part need to be matched through the control platform to achieve better adaptive processing of the automotive parts.

[0048] In one embodiment, the data acquisition module includes:

[0049] The processing unit is used to control the platform to send the operation parameters to the corresponding stamping equipment for control, and to process the target automotive parts through the stamping equipment;

[0050] The data acquisition and transmission unit is used to acquire processing data of the target automotive parts during the processing based on sensors, and transmit the processing data to the control platform based on the sensors.

[0051] In one embodiment, the acquisition and transmission unit includes:

[0052] The building unit is used to establish a swarm channel between the sensor and the control platform. The swarm channel includes multiple honeycomb points, docking points (virtual machines), multiple free contact lines, and multiple contact lines (the contact lines include connecting channels and contacts at both ends of the connecting channels).

[0053] The packaging unit is used to collect processing data of the target automotive parts during the processing based on sensors, and to process the processing data into a data chain (the processing data is sorted according to the time period of collection, and the sorted data is used as the data chain for data transmission).

[0054] The transmission switching connection unit is used to transmit the data link through the cellular channel. During the transmission process, the corresponding contact line is switched according to the safety status of the cellular point until the data link is transmitted to the control platform.

[0055] In one embodiment, the building unit includes:

[0056] The transmission setting unit is used to establish a local area network between the control platform and each corresponding sensor. Multiple contact lines are set in the local area network. The contact lines include a connection channel and contacts (mobile network points, and two mobile network points are connected through the connection channel).

[0057] The connection setting unit is used to stagger multiple honeycomb points between the control platform and each corresponding sensor, connect the sensor to the contact in a single contact line, connect multiple honeycomb points to the contact in the contact line, and connect all the honeycomb points in sequence to form a Z-shaped network deployment through multiple contact lines, which are then connected to the control platform.

[0058] Backup network unit, used to set up multiple docking points and multiple free contact lines in the local area network;

[0059] In one embodiment, the transmission switching connection unit includes:

[0060] The monitoring unit is used to transmit the data link through the connected contact line via the sensor. During the data link transmission, it obtains the security status of multiple cellular points. If a cellular point is not accessed by the network, it means that the security status is normal and the connection structure of the cellular channel remains unchanged. If a cellular point is accessed by the network, it means that the security status is abnormal.

[0061] The first switching unit is used when the cellular point is in an abnormal state. If there is a data link being transmitted in the network access contact line, the network access cellular point will be disconnected from the two connected contact lines (disconnected through the contact, but the contact is always connected to the connection channel). The free contact line and the docking point will be switched. The switched free contact line will be connected to the network access cellular point through the contact, and the switched docking point will be connected to the other contact of the free contact line.

[0062] The second switching unit is used when a cellular point is in an abnormal state. If there is no data link being transmitted in the network access contact line, the abnormal cellular point is disconnected from the contact line that is not being accessed by the network, the disconnected contact line that is not being accessed by the network is connected to an adjacent cellular point, and the network access contact line is disconnected from other cellular points and the connection docking point is switched until the data link is transmitted to the control platform.

[0063] It should be noted that the sensors are responsible for collecting various data during the stamping production process, including drawing flow rate, die surface temperature, lubricating oil level, closing height, blank holder force, forming force, and material property parameters. Various sensors can be used, such as pressure sensors to measure blank holder force and forming force, and temperature sensors to monitor die surface temperature, as processing data. To analyze and predict product quality based on the actual processing data from the stamping equipment, the collected processing data needs to be transmitted to the control platform. The collected processing data is transmitted via sensors. A local area network (LAN) is set up between the sensors and the control platform to establish multiple cellular points, multiple free-floating contact lines, and docking points. The LAN serves as the foundation for this network. The free-floating contact lines and their network structure are identical, consisting of a connection channel and contact points at both ends. These contact points are mobile network points, capable of freely connecting and disconnecting. Within the LAN, contact lines and cellular points can freely establish transmission channels, ensuring smooth and secure data transmission, guaranteeing data security and accuracy. This allows for subsequent analysis of the processing data to determine the processing quality of target automotive parts, enabling more precise control of the stamping equipment. For example, multiple cellular points are set up in the LAN, acting as network nodes to connect channels for data transmission. These cellular points are staggered, for example, in a Z-shape. Here, we have repeated Z-shaped transmission channels, with the corner positions being the locations for cellular points. Each cellular point is connected to two contact lines. Adjacent cellular points share a single contact line. The contact line connects to the cellular points through its own contacts. In this formed, repeating Z-shaped transmission channel, there are also free contact lines and docking points. These docking points are virtual machines. The docking points can connect to one end of the contact line or the free contact line through the contact point to accept external network access. The data chain is transmitted through the connected contact lines by the sensor. During the data chain transmission, the safety status of multiple cellular points is acquired. If a cellular point is not accessed by the network, the safety status is normal, and the connection structure of the cellular channel remains unchanged. If a cellular point is accessed by the network, the safety status is abnormal. Because the stamping process of the target automotive parts is also intermittent, the acquisition and transmission of processing data are also intermittent. Therefore, during the data transmission process, there may be cellular points that have not yet been reached by the external network before the data chain has completely passed through the transmission channel, or cellular points that have already been reached. Therefore, two switching methods are given based on these two situations.When the cellular point is in an abnormal state, if a data link is transmitting in the network access contact line, the network access cellular point will be disconnected from both connected contact lines (disconnecting the contact line ensures the safety of the other unaccessed contact line, eliminating the need to rebuild the channel; simply disconnecting both contact lines from the cellular point allows for normal data transmission). The detached contact line will then be switched to the docking point. The switched detached contact line will be connected to the network access cellular point via a contact line, and the switched docking point will be connected to the other contact line of the detached contact line. This allows the external network to access the detached contact line connected through the cellular point to the docking point. The docking point is a virtual machine capable of handling external network access, satisfying invalid external network access requirements without affecting data transmission. According to the normal transmission of the chain; when a cellular point is in an abnormal state, if there is no data chain transmitting in the network access contact line, the abnormal cellular point will be disconnected from the contact line not being accessed by the network, the disconnected contact line not being accessed by the network will be connected to the adjacent cellular point, and the network access contact line will be disconnected from other cellular points and the connection docking point will be switched. The external network transmission is also carried out through the docking point. This can reduce the number of free contact lines used, and the number of them does not need to be large. It is only necessary to deal with the situation that "if there is a data chain transmitting in the network access contact line, the network access cellular point will be disconnected from the two contact lines connected to it". By establishing connections between contact lines and other cellular points, the normal transmission of the data chain can be guaranteed, while reducing the number of free contact lines used. Naturally, a small number of free contact lines can be deployed. By reducing the difficulty of network construction, and ensuring data transmission to the control platform, the smoothness and security of data transmission can be guaranteed, preventing processing data from being obtained and tampered with by external networks, and ensuring the accuracy of subsequent control of stamping equipment. The number of times the cellular point is accessed by external networks can be used to understand the security of processing data transmission. The more times it is accessed, the greater the external threat. The calculation formula is as follows: , The risk index for the i-th hive point (range: ); The weighting coefficients for the number of times and frequency (need to be adjusted according to the different automotive parts being processed); This represents the percentage of visits to a honeycomb site out of the total number of visits (reflecting relative visit volume). It is the ratio of the frequency of the cellular point to the highest frequency (reflecting abnormally high-frequency access).

[0064] In one embodiment, the analysis module includes:

[0065] The model training unit is used to train the convolutional neural network based on historical production data, which includes historical processing data and corresponding quality information, to obtain a trained product quality prediction model.

[0066] The analysis unit is used to input real-time collected processing data into the product quality prediction model, output quality information, determine the defects of the target automotive parts based on the quality information, and formulate optimization parameters based on the defects of the target automotive parts.

[0067] It should be noted that historical production data includes processing data during the stamping process (such as drawing flow rate, die temperature, lubricating oil volume, closing height, blank holder force, forming force, material performance parameters, etc.) and corresponding quality information (such as defect labels such as cracking, wrinkling, and hidden damage). The historical production data is then processed, including: data cleaning: removing outliers and filling in missing values ​​(e.g., through interpolation or statistical methods). Data standardization / normalization: scaling processing data of different dimensions (such as pressure and temperature) to a uniform range (e.g., [-1, 1] or [0, 1]) to improve model convergence efficiency. Data annotation and augmentation: structurally annotating historical quality information (e.g., defect type, severity); enhancing dataset diversity by using methods such as rotation, scaling, and noise addition for image data (e.g., images of stamped parts surfaces). A convolutional neural network is trained using historical production data to obtain a trained product quality prediction model and a defect identification and localization module. Quality Information Analysis: Based on the quality prediction results output by the CNN, combined with preset thresholds (e.g., a crack probability > 80% is considered a defect), the defect type (e.g., cracking, wrinkling) and severity of the target component are determined. Defect Localization: For image-based data, feature visualization techniques (e.g., Grad-CAM) are used to locate the specific position of the defect on the stamped part (e.g., wrinkling in the edge region). Defect-parameter mapping rules are established based on a process knowledge base (e.g., stamping process manuals, historical optimization experience). For example: cracking defects - reduce blank holder force by 5% or increase lubricant volume by 10%; wrinkling defects - increase closing height by 2mm or increase drawing flow by 3%. Optimization Algorithm: For complex defects (e.g., multi-parameter coupling effects), reinforcement learning (RL) or particle swarm optimization (PSO) algorithms are used to automatically search for the optimal parameter combination. The objective function is to minimize the defect probability, ultimately obtaining the optimal parameters.

[0068] In one embodiment, the control module includes:

[0069] The feedback unit is used to transmit optimized parameters to the stamping equipment through the honeycomb channel via the control platform;

[0070] The processing unit is used by the stamping equipment to process the target automotive parts according to optimized parameters.

[0071] It should be noted that the control platform receives stamping production data (processing data) from sensors. Based on this data, it uses a preset product quality prediction model to predict product quality performance, including cracking, wrinkling, and hidden defects. Then, based on the quality performance predictions, it determines the data to be optimized and calculates the stamping process optimization parameters. Finally, the optimized parameters are sent to the stamping equipment controller. These parameters are continuously updated based on real-time analysis of the collected processing data, thus controlling the stamping equipment.

[0072] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. An adaptive control system for an automotive parts stamping production line, characterized in that, include: The initial setup module is used to identify the target automotive parts that are being processed and to determine the corresponding operating parameters for the target automotive parts based on the control platform. The data acquisition module, connected to the initial setting module, is used to control the stamping equipment according to the operating parameters through the control platform, process the target automotive parts, acquire processing data during the processing, and transmit it to the control platform through the honeycomb channel. The honeycomb channel includes multiple honeycomb points, docking points, multiple free contact lines, and multiple contact lines. The transmission switching connection unit includes: The monitoring unit is used to transmit the data link through the connected contact line via the sensor. During the data link transmission, it obtains the security status of multiple cellular points. If a cellular point is not accessed by the network, it means that the security status is normal and the connection structure of the cellular channel remains unchanged. If a cellular point is accessed by the network, it means that the security status is abnormal. The first switching unit is used when the cellular point is in an abnormal state. If there is a data link being transmitted in the network access contact line, the network access cellular point and the two connected contact lines will be disconnected, the free contact line and the docking point will be switched, the switched free contact line will be connected to the network access cellular point through the contact, and the switched docking point will be connected to the other contact of the free contact line. The second switching unit is used when a cellular point is in an abnormal state. If there is no data link being transmitted in the network access contact line, the abnormal cellular point will be disconnected from the contact line that is not being accessed by the network, the disconnected contact line that is not being accessed by the network will be connected to an adjacent cellular point, and the network access contact line will be disconnected from other cellular points and the connection docking point will be switched until the data link is transmitted to the control platform. The analysis module, connected to the data acquisition module, is used to input processing data into the product quality prediction model, predict product quality information, determine the operation parameters to be optimized based on the quality information, and obtain the optimization parameters. The control module, connected to the analysis module, is used by the control platform to regulate the stamping equipment by optimizing parameters.

2. The adaptive control system for an automotive parts stamping production line according to claim 1, characterized in that, The initial setup module includes: The formulation unit is used to identify multiple automotive parts, formulate corresponding operating parameters based on each automotive part, and associate the operating parameters with the corresponding automotive parts and store them in the control platform. The matching unit is used to identify the automotive parts currently being processed as target automotive parts and to match the corresponding operating parameters of the target automotive parts based on the control platform.

3. The adaptive control system for an automotive parts stamping production line according to claim 1, characterized in that, The data acquisition module includes: The processing unit is used to control the platform to send the operation parameters to the corresponding stamping equipment for control, and to process the target automotive parts through the stamping equipment; The data acquisition and transmission unit is used to acquire processing data of the target automotive parts during the processing based on sensors, and transmit the processing data to the control platform based on the sensors.

4. The adaptive control system for an automotive parts stamping production line according to claim 3, characterized in that, The data acquisition and transmission unit includes: The building block is used to establish a pupa channel between the sensor and the control platform; The packaging unit is used to collect processing data of the target automotive parts during the processing based on sensors, and to process the processing data into a data chain through packaging. The transmission switching connection unit is used to transmit the data link through the cellular channel. During the transmission process, the corresponding contact line is switched according to the safety status of the cellular point until the data link is transmitted to the control platform.

5. The adaptive control system for an automotive parts stamping production line according to claim 4, characterized in that, The building unit includes: The transmission setting unit is used to establish a regional network between the control platform and each corresponding sensor, and to set up multiple contact lines in the regional network, wherein the contact lines include a connection channel and contacts at both ends of the connection channel; The connection setting unit is used to stagger multiple honeycomb points between the control platform and each corresponding sensor, connect the sensor to the contact in a single contact line, connect multiple honeycomb points to the contact in the contact line, and connect all the honeycomb points in sequence to form a Z-shaped network deployment through multiple contact lines, which are then connected to the control platform. Backup network unit, used to set up multiple docking points and multiple free contact lines in the local area network.

6. The adaptive control system for an automotive parts stamping production line according to claim 1, characterized in that, The analysis module includes: The model training unit is used to train the convolutional neural network based on historical production data, which includes historical processing data and corresponding quality information, to obtain a trained product quality prediction model. The analysis unit is used to input real-time collected processing data into the product quality prediction model, output quality information, determine the defects of the target automotive parts based on the quality information, and formulate optimization parameters based on the defects of the target automotive parts.

7. The adaptive control system for an automotive parts stamping production line according to claim 1, characterized in that, The control module includes: The feedback unit is used to transmit optimized parameters to the stamping equipment through the honeycomb channel via the control platform; The processing unit is used by the stamping equipment to process the target automotive parts according to optimized parameters.

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