Self-adaptive regulation and control system for automobile part stamping production line

Abstract

The invention discloses a self-adaptive regulation and control system for an automobile part stamping production line, and relates to the technical field of equipment regulation and control, an initial setting module is used for determining a target automobile part in a machining process and determining operation parameters corresponding to the target automobile part based on a regulation and control platform; the data acquisition module is connected with the initial setting module and used for controlling the stamping equipment through the regulation and control platform according to the operation parameters, obtaining machining data in the machining process and transmitting the machining data to the regulation and control platform; and the analysis module is connected with the data acquisition module and is used for inputting the processing data into the product quality prediction model, predicting the quality information of the product, determining the to-be-optimized operation parameters according to the quality information and obtaining optimized parameters. According to the method, the safety in the data transmission process and the data accuracy are guaranteed, it is guaranteed that the machining quality of the target automobile part is analyzed through the machining data subsequently, and the stamping equipment is regulated and controlled more accurately.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of device regulation, and in particular to a self-adaptive regulation system for an automobile part stamping production line. BACKGROUND

[0002] Automobile part production, as a core link of manufacturing industry, is upgrading from traditional "scale production" to "flexible and intelligent manufacturing". As a key forming technology for automobile coverings (such as car doors, engine covers, etc.), the production efficiency, precision and stability of stamping process directly affect the quality and manufacturing cost of the whole vehicle. With the popularization of new energy vehicles and lightweight materials (such as high-strength steel and aluminum alloy), the complexity of part structure is improved, and higher requirements are put forward for the self-adaptive adjustment capability (such as dynamic optimization of process parameters) of the stamping production line. The traditional production line adopts a "device-gateway-server" single-point transmission mode. If the transmission link is physically damaged or monitored, data tampering or leakage may easily occur, which may cause deviation in the analysis of subsequent optimized parameters, and thus may lead to incorrect control of the stamping equipment, resulting in automobile parts that do not meet the requirements. SUMMARY

[0003] The purpose of the present application is to provide a self-adaptive regulation system for an automobile part stamping production line to solve the problems in the background art.

[0004] In order to achieve the above-mentioned purpose, the present application provides the following technical solution: a self-adaptive regulation system for an automobile part stamping production line, comprising: An initial setting module is used to determine a target automobile part in a processing process, and determine the working parameters corresponding to the target automobile part based on a regulation platform; A data acquisition module is connected with the initial setting module, and is used to control the stamping equipment according to the working parameters through the regulation platform, process the target automobile part, acquire the processing data in the processing process and transmit the processing data to the regulation platform through a bee channel, wherein the bee channel comprises a plurality of bee nests, a plurality of docking points, a plurality of free touch lines and a plurality of touch lines; An analysis module is connected with the data acquisition module, and is used to input the processing data into a product quality prediction model, predict the quality information of the product, determine the working parameters to be optimized according to the quality information and obtain optimized parameters; A regulation module is connected with the analysis module, and is used to regulate the stamping equipment through the optimized parameters by the regulation platform.

[0005] In a preferred embodiment, the initial setting module comprises: The preparation unit is configured to determine a plurality of automobile parts, prepare corresponding operation parameters based on the plurality of automobile parts, and store the operation parameters in the regulation platform in correspondence with the corresponding automobile parts. The matching unit is configured to determine an automobile part currently in a processing process as a target automobile part, and match the operation parameters of the target automobile part based on the regulation platform.

[0006] In a preferred embodiment, the data acquisition module comprises: The processing unit is configured to control the corresponding stamping equipment by the regulation platform based on the operation parameters, and process the target automobile part by the stamping equipment. The acquisition and transmission unit is configured to acquire processing data of the target automobile part in the processing process based on the sensor, and transmit the processing data to the regulation platform based on the sensor.

[0007] In a preferred embodiment, the acquisition and transmission unit comprises: The construction unit is configured to establish a bee nest channel between the sensor and the regulation platform. The packaging unit is configured to acquire the processing data of the target automobile part in the processing process based on the sensor, and package the processing data to obtain a data chain. The transmission switching connection unit is configured to transmit the data chain through the bee nest channel, and in the process of transmission, according to the safety state of the bee nest point, the corresponding touch connection line is connected and switched until the data chain is transmitted to the regulation platform.

[0008] In a preferred embodiment, the construction unit comprises: The transmission setting unit is configured to establish a regional network between the regulation platform and each corresponding sensor, and set a plurality of touch connection lines in the regional network, wherein the touch connection line comprises a connection channel and a touch point at both ends of the connection channel. The connection setting unit is configured to stagger a plurality of bee nest points between the regulation platform and each corresponding sensor, connect the sensor and the touch point in the single touch connection line, connect the plurality of bee nest points and the touch point in the touch connection line, and sequentially connect all the bee nest points by the plurality of touch connection lines to form a zigzag network deployment, and directly connect to the regulation platform through the touch connection line. The standby network unit is configured to set a plurality of docking points and a plurality of free touch connection lines in the regional network.

[0009] In a preferred embodiment, the transmission switching connection unit comprises: The monitoring unit is used for transmitting a data chain through the connected touch lines by the sensor, obtaining the security state of a plurality of honeycombs in the process of data chain transmission, and representing that the security state is a normal state if the honeycomb is not accessed by the network, and the connection structure of the honeycomb channel is unchanged, and representing that the security state is an abnormal state if the honeycomb is accessed by the network; The first switching unit is used for disconnecting the honeycomb accessed by the network and the two touch lines connected therewith, switching the free touch line and the docking point, connecting the switched free touch line and the honeycomb accessed by the network through the touch point, and connecting the switched docking point and the other touch point of the free touch line if the data chain is transmitted in the touch line accessed by the network when the honeycomb is in the abnormal state. The second switching unit is used for disconnecting the honeycomb in the abnormal state and the touch line not accessed by the network, connecting the disconnected touch line not accessed by the network and the adjacent honeycomb, disconnecting and switching the docking point connected to the other honeycomb in the touch line accessed by the network until the data chain is transmitted to the regulation platform if the data chain is not transmitted in the touch line accessed by the network when the honeycomb is in the abnormal state.

[0010] In a preferred embodiment, the analysis module comprises: The model training unit is used for training the convolutional neural network based on historical production data, wherein the historical production data comprises historical processing data and corresponding quality information, and a trained product quality prediction model is obtained. The analysis unit is used for inputting the real-time collected processing data into the product quality prediction model, outputting the quality information, determining the defects of the target automobile part according to the quality information, and formulating the optimization parameters according to the defects of the target automobile part.

[0011] In a preferred embodiment, the regulation module comprises: The feedback unit is used for transmitting the optimization parameters through the honeycomb channel to the stamping equipment through the regulation platform. The processing unit is used for processing the target automobile part according to the optimization parameters by the stamping equipment.

[0012] In the above technical solution, the present application provides technical effects and advantages: The present application can freely build a transmission channel between the touch line and the honeycomb in the regional network, ensure the smooth and safe transmission of data, ensure the security and accuracy of data transmission, ensure the processing quality of the target automobile part through the processing data analysis, and more accurately regulate and control the stamping equipment. BRIEF DESCRIPTION OF DRAWINGS

[0013] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments. Obviously, the drawings described below are only some embodiments of the present application, and other drawings can also be obtained by those skilled in the art based on these drawings.

[0014] Figure 1 The system block diagram of the present application. DETAILED DESCRIPTION

[0015] In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only some embodiments of the present application, not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the protection scope of the present application.

[0016] Embodiment 1, please refer to Figure 1 As shown in the figure, the adaptive control system for automobile parts stamping production line described in this embodiment comprises: An initial setting module is configured to determine a target automobile part in a machining process, and determine corresponding operation parameters of the target automobile part based on a control platform; A data acquisition module is connected with the initial setting module, configured to control the stamping equipment according to the operation parameters through the control platform, process the target automobile part, acquire machining data in the machining process and transmit the machining data to the control platform through a bee channel, wherein the bee channel comprises a plurality of bee nest points, docking points, a plurality of free touch lines and a plurality of touch lines; An analysis module is connected with the data acquisition module, configured to input the machining data into a product quality prediction model, predict quality information of the product, determine operation parameters to be optimized according to the quality information and obtain optimized parameters; A control module is connected with the analysis module, configured to control the stamping equipment through the optimized parameters by the control platform.

[0017] It should be noted that the touch lines and the bee nest points in the area network can freely build a transmission channel to ensure smooth and safe transmission of data, ensure safety and accuracy of data in the data transmission process, ensure subsequent analysis of machining quality of the target automobile part through the machining data, and more accurately control the stamping equipment.

[0018] In one embodiment, the initial setting module comprises: The preparation unit is configured to determine a plurality of automobile parts, prepare corresponding operation parameters based on the plurality of automobile parts, and store the operation parameters in the regulation platform in correspondence with the corresponding automobile parts. The matching unit is configured to determine an automobile part currently in a processing process as a target automobile part, and match the operation parameters of the target automobile part based on the regulation platform. It should be noted that, in each processing of the automobile part, the operation precision of the stamping equipment according to the operation parameters may be problematic due to long-term use of the stamping equipment, and therefore, the optimized parameters obtained based on actual processing data analysis are required. The operation parameters set here are the optimized parameters of the stamping equipment in the last processing of the target automobile part, which are the operation parameters closest to the processing state of the equipment this time. The optimized parameters of the corresponding target automobile part in the last processing are updated to the operation parameters stored in the regulation platform each time. When processing the automobile part each time, the operation parameters of the corresponding target automobile part are matched through the regulation platform, which can better adaptively process the automobile part.

[0019] In an embodiment, the data collection module comprises: The processing unit is configured to control the operation parameters of the corresponding stamping equipment through the regulation platform, and process the target automobile part through the stamping equipment. The collection and transmission unit is configured to acquire the processing data of the target automobile part in the processing process based on the sensor, and transmit the processing data to the regulation platform based on the sensor. In an embodiment, the collection and transmission unit comprises: The construction unit is configured to establish a bee channel between the sensor and the regulation platform, wherein the bee channel comprises a plurality of bee nests, a docking point (virtual machine), a plurality of free touch lines, and a plurality of touch lines (the touch line comprises a connection channel and a touch point at both ends of the connection channel). The packaging unit is configured to collect the processing data of the target automobile part in the processing process based on the sensor, and package the processing data to obtain a data chain (the processing data is sequentially sorted according to the collection time period, and the data after the data sorting is used as the data chain for data transmission). The transmission switching connection unit is configured to transmit the data chain through the bee channel, and in the transmission process, the corresponding touch line is connected and switched according to the safety state of the bee nest until the data chain is transmitted to the regulation platform.

[0020] In an embodiment, the construction unit comprises: The transmission setting unit is configured to establish a local area network between the regulation platform and each sensor, and set a plurality of touch lines in the local area network, wherein the touch line comprises a connection channel and a touch point (mobile network point) at both ends of the connection channel. The connection setting unit is configured to stagger a plurality of honeycombs between the regulation platform and each sensor, connect the sensor and the touch point in the single touch line, connect the plurality of honeycombs and the touch point in the touch line, sequentially connect all the honeycombs by the plurality of touch lines to form a zigzag network deployment, and connect to the regulation platform through the touch line. The standby network unit is configured to set a plurality of docking points and a plurality of free touch lines in the local area network. In one embodiment, the transmission switching connection unit comprises: The monitoring unit is configured to transmit the data chain through the connected touch line by the sensor, acquire the security state of the plurality of honeycombs during the data chain transmission, and if the honeycomb is not accessed by the network, it represents a normal state, and the connection structure of the honeycomb channel is unchanged, and if the honeycomb is accessed by the network, it represents an abnormal state. The first switching unit is configured to, when the honeycomb is in an abnormal state, if the data chain is in transmission in the network accessed touch line, disconnect the network accessed honeycomb and the two connected touch lines (disconnect through the touch point, and the touch point is always connected with the connection channel), switch the free touch line and the docking point, connect the switched free touch line with the network accessed honeycomb through the touch point, and connect the switched docking point with the other touch point of the free touch line. The second switching unit is configured to, when the honeycomb is in an abnormal state, if the data chain is not in transmission in the network accessed touch line, disconnect the abnormal state honeycomb and the non-network accessed touch line, connect the disconnected non-network accessed touch line with the adjacent honeycomb, disconnect the network accessed touch line and the other honeycomb, and switch the connection docking point, until the data chain is transmitted to the regulation platform.

[0021] It should be noted that the sensor is responsible for collecting various data in the stamping production process, including the draw flow, mold surface temperature, lubricating oil amount, closing height, blank holder force, forming force and material performance parameters. A variety of sensors can be used to achieve, such as pressure sensors to measure blank holder force and forming force, temperature sensors to monitor mold surface temperature, etc. as processing data. In order to analyze and predict product quality based on the actual working processing data of the stamping equipment, the processing data needs to be collected and transmitted to the control platform. The collected processing data is transmitted through the sensor, and a regional network is set between the sensor and the control platform, which is used to build multiple honeycomb points and multiple free touch lines and multiple touch lines and docking points. The regional network is the basis for building a network, and the free touch line and the network structure of the touch line are the same, which is a connection channel and a touch point at both ends of the connection channel. The touch point is a mobile network point that can be freely connected and disconnected. In the regional network, the touch line and the honeycomb point can freely build a transmission channel to ensure smooth and safe data transmission, ensure the safety of the data transmission process and the accuracy of the data, ensure that the subsequent processing data is analyzed to analyze the processing quality of the target automobile parts, and more accurately control the stamping equipment. For example, multiple honeycomb points are set in the regional network, and the honeycomb point is a network node used as a connection node for data transmission. The honeycomb points are staggered, for example, Z-shaped arrangement. Here is a repeated Z-shaped transmission channel. In the repeated Z-shaped transmission channel, the corner position is the position where the honeycomb point is set. Because each honeycomb point is connected with two touch lines, the opposite adjacent honeycomb points share a touch line. The touch line is connected with the honeycomb point through its own touch point. In the formed repeated Z-shaped transmission channel, there are also free touch lines and docking points. The docking point is a virtual machine. The docking point can be connected with the touch line or the free touch line at one end through the touch point, which is used to accept external network access. The data chain is transmitted through the connected touch line through the sensor. In the process of data chain transmission, the safety status of multiple honeycomb points is obtained. If the honeycomb point is not accessed by the network, it represents a normal state, and the connection structure of the honeycomb channel remains unchanged. If the honeycomb point is accessed by the network, it represents an abnormal state. Because the stamping processing of the target automobile parts is also intermittent processing, the processing data is also intermittent data collection and transmission. Therefore, during the data transmission process, there are still honeycomb points that have not completely passed through the transmission channel when the data chain is accessed by the external network, or the reached honeycomb point. Therefore, according to the two situations, two switching modes are given.When the honeycomb point is in an abnormal state, if there is data chain transmission in the network access touch connection line, the network access honeycomb point and the two connected touch connection lines are disconnected (the touch point is always connected with the connection channel, and the disconnection of the two touch connection lines can ensure the safety of the other unvisited touch connection line, so that the other touch connection line does not need to be re-built, and the two touch connection lines are directly disconnected with the honeycomb point, and the data chain can be normally transmitted), the free touch connection line is switched and connected with the docking point, the switched free touch connection line is connected with the network access honeycomb point through the touch point, and the switched docking point is connected with the other touch point of the free touch connection line. In this way, the external network can be introduced into the docking point through the free touch connection line connected with the honeycomb point, and the docking point, which is a virtual machine, can access the external network, which can meet the invalid access of the external network and will not affect the normal transmission of the data chain; when the honeycomb point is in an abnormal state, if there is no data chain transmission in the network access touch connection line, the abnormal state honeycomb point and the unvisited touch connection line are disconnected, the disconnected unvisited touch connection line is connected with the adjacent honeycomb point, and the network access touch connection line is disconnected with other honeycomb points and switched to connect the docking point. The transmission of the external network is also realized through the docking point, so that the amount of free touch connection line can be reduced, and a large number of free touch connection lines do not need to be arranged. Only the case of "if there is data chain transmission in the network access touch connection line, the network access honeycomb point and the two connected touch connection lines are disconnected" needs to be met. Through the connection between the touch connection line and other honeycomb points, the normal transmission of the data chain can be ensured, and the amount of free touch connection line is reduced. Naturally, a small amount of free touch connection line can be arranged. The network building difficulty is reduced, and the data chain is transmitted to the control platform, so that the smoothness and safety of the data transmission process can be ensured, the processing data is prevented from being obtained and tampered by external network, the accuracy of subsequent stamping equipment control is ensured, the safety of the processing data transmission can be known by the number of times of accessing the honeycomb point by the external network, the more the number of times of accessing, the greater the threat from the external network, and the calculation formula is: , Risk index of the ith honeycomb point (value range: ); The weight coefficient of the number of times and the frequency (which needs to be adjusted according to the processing of different automobile parts); The proportion of the number of times of accessing the honeycomb point to the total number of times (reflecting the relative access amount); The ratio of the frequency of the honeycomb point to the highest frequency (reflecting the abnormally high frequency access).

[0022] In one embodiment, the analysis module comprises: A model training unit configured to train a convolutional neural network based on historical production data, wherein the historical production data comprises historical processing data and corresponding quality information, and a trained product quality prediction model is obtained. The analysis unit is configured to input the real-time collected processing data into the product quality prediction model, output quality information, determine defects of the target automobile part according to the quality information, and formulate optimization parameters according to the defects of the target automobile part.

[0023] It should be noted that the historical production data includes processing data (such as draw flow, mold temperature, lubricating oil amount, closing height, blank holder force, forming force, material performance parameters, etc.) in the stamping process and corresponding quality information (such as cracking, wrinkling, hidden defect labels, etc.), and then the historical production data is processed, including: data cleaning: removing outliers and filling missing values (such as through interpolation method or statistical method). Data standardization / normalization: scaling different dimensions of processing data (such as pressure, temperature) to a unified range (such as [-1, 1] or [0, 1]), improving model convergence efficiency. Data annotation and enhancement: structuring the historical quality information (such as defect type, severity); for image type data (such as stamping part surface image), using rotation, scaling, noise addition, etc. to enhance the diversity of the data set. The convolutional neural network is trained through the historical production data to obtain a trained product quality prediction model, a defect recognition and positioning module. Quality information analysis: according to the quality prediction result output by the CNN, combined with a preset threshold (such as cracking probability > 80% to determine a defect), the defect type (such as cracking, wrinkling) and severity of the target part are determined. Defect positioning: for image type data, the specific location (such as edge area wrinkling) of the defect on the stamping part is located through feature visualization technology (such as Grad-CAM). Based on the process knowledge base (such as stamping process manual, historical optimization experience), a defect-parameter mapping rule is established. For example: cracking defect-reduce blank holder force by 5% or increase lubricating oil amount by 10%; wrinkling defect-increase closing height by 2mm or increase draw flow by 3%. Optimization algorithm: for complex defects (such as multi-parameter coupling effect), reinforcement learning (RL) or particle swarm optimization (PSO) algorithm is used to automatically search for the optimal parameter combination, and the objective function is to minimize the defect probability, and finally the optimal parameters are obtained.

[0024] In one embodiment, the regulation module comprises: The feedback unit is configured to transmit the optimization parameters to the stamping equipment through the bee channel through the regulation platform. The processing unit is configured to process the target automobile part according to the optimization parameters by the stamping equipment.

[0025] It should be noted that the regulation platform receives the stamping production data (processing data) transmitted by the sensor, and based on the data, the product quality performance is predicted through a preset product quality prediction model, including cracking prediction, wrinkle prediction and hidden damage prediction. Then determine the data to be optimized according to the quality performance prediction, and calculate the stamping process optimization parameters through analysis, and finally send the optimization parameters to the controller of the stamping equipment. The optimization parameters are analyzed in real time according to the real-time collected processing data, so the optimization parameters are constantly updated, and the stamping equipment is controlled through the constantly updated optimization parameters.

[0026] The above is only a specific embodiment of the present application, but the protection scope of the present application is not limited to this. Any person skilled in the art can easily think of changes or replacements within the technical scope disclosed in the present application, which should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. An adaptive control system for a stamping production line of automotive parts, characterized by, The application relates to a quality information prediction method and device for a target automobile part in a machining process. The initial setting module is used for determining the target automobile part in the machining process and determining the operation parameters corresponding to the target automobile part based on the regulation and control platform. The data acquisition module is connected with the initial setting module and is used for controlling the stamping equipment according to the operation parameters through the regulation and control platform, machining the target automobile part, acquiring the machining data in the machining process and transmitting the machining data to the regulation and control platform through a bee channel, wherein the bee channel comprises a plurality of bee nests, a plurality of butt joints, a plurality of free touch lines and a plurality of touch lines. The analysis module is connected with the data acquisition module and is used for inputting the machining data into a product quality prediction model, predicting the quality information of the product, determining the operation parameters to be optimized according to the quality information and obtaining the optimized parameters. The regulation and control module is connected with the analysis module and is used for regulating and controlling the stamping equipment through the optimized parameters by the regulation and control platform.

2. The self-adaptive control system for the stamping production line of automobile parts according to claim 1, characterized in that, The initial setting module comprises a preparation unit, a matching unit and the like. The preparation unit is used for determining a plurality of automobile parts, preparing corresponding operation parameters based on the plurality of automobile parts, matching the operation parameters with the corresponding automobile parts and storing the operation parameters in the regulation and control platform. The matching unit is used for determining the automobile part in the machining process as the target automobile part and matching the operation parameters corresponding to the target automobile part based on the regulation and control platform.

3. The self-adaptive control system for the stamping production line of automobile parts according to claim 1, characterized in that, The data acquisition module comprises a machining unit, an acquisition and transmission unit and the like. The machining unit is used for downloading the operation parameters to the corresponding stamping equipment for control by the regulation and control platform and machining the target automobile part through the stamping equipment. The acquisition and transmission unit is used for acquiring the machining data of the target automobile part in the machining process based on the sensor and transmitting the machining data to the regulation and control platform based on the sensor.

4. The self-adaptive control system for the stamping production line of automobile parts according to claim 3, characterized in that, The acquisition and transmission unit comprises a construction unit, a packaging unit and a transmission switching connection unit. The construction unit is used for establishing the bee channel between the sensor and the regulation and control platform. The packaging unit is used for acquiring the machining data of the target automobile part in the machining process based on the sensor, packaging the machining data to obtain a data chain. The transmission switching connection unit is used for transmitting the data chain through the bee channel, switching and connecting the corresponding touch line according to the safety state of the bee nest during the transmission process until the data chain is transmitted to the regulation and control platform.

5. The self-adaptive control system for the stamping production line of automobile parts according to claim 4, characterized in that, The construction unit comprises a transmission setting unit, a connection setting unit and the like. The transmission setting unit is used for establishing the regional network between the regulation and control platform and each sensor respectively and setting a plurality of touch lines in the regional network, wherein the touch line comprises a connection channel and a touch point at both ends of the connection channel. The connection setting unit is used for staggered setting a plurality of bee nests between the regulation and control platform and each sensor, connecting the sensor with the touch point in the single touch line, connecting the plurality of bee nests with the touch point in the touch line, sequentially connecting all the bee nests by the plurality of touch lines to form a Z-shaped network deployment and connecting to the regulation and control platform through the touch line. The standby network unit is used for setting a plurality of butt joints and a plurality of free touch lines in the regional network.

6. The self-adaptive control system for the stamping production line of automobile parts according to claim 5, characterized in that, The transmission switching connection unit comprises a switching unit, a connection unit and the like. The monitoring unit is configured to transmit a data chain through a connected touch line by a sensor, acquire a security state of a plurality of cells during the data chain transmission, and determine that the security state is a normal state if a cell is not accessed by a network, and determine that the security state is an abnormal state if the cell is accessed by the network. The first switching unit is configured to, when the cell is in the abnormal state, disconnect the cell accessed by the network from two connected touch lines if the data chain is being transmitted in the touch lines accessed by the network, switch a free touch line and a docking point, connect the switched free touch line to the cell accessed by the network through a touch point, and connect the switched docking point to another touch point of the free touch line. The second switching unit is configured to, when the cell is in the abnormal state, disconnect the cell in the abnormal state from a touch line not accessed by the network if the data chain is not being transmitted in the touch line accessed by the network, connect the disconnected touch line not accessed by the network to an adjacent cell, disconnect the touch line accessed by the network from other cells and switch a docking point, and transmit the data chain to the control platform until the data chain is transmitted to the control platform.

7. The self-adaptive control system for the stamping production line of automobile parts according to claim 1, characterized in that, The analysis module comprises: A model training unit configured to train a convolutional neural network based on historical production data, wherein the historical production data comprises historical processing data and corresponding quality information, and obtain a trained product quality prediction model; An analysis unit configured to input real-time collected processing data into the product quality prediction model, output quality information, determine defects of a target automobile part according to the quality information, and formulate optimization parameters according to the defects of the target automobile part.

8. The self-adaptive control system for the stamping production line of automobile parts according to claim 1, characterized in that, The control module comprises: A feedback unit configured to transmit the optimization parameters to the stamping equipment through the cocoon channel by the control platform; A processing unit configured to process the target automobile part according to the optimization parameters by the stamping equipment.

Images