Linked intelligent gold wire bonding process and data management integration method and system
By identifying the linkage relationship of bonded alloy wire process and establishing game models, and optimizing process parameters, the problem of global insufficient data management integration is solved, and the overall optimization effect of process parameters is achieved.
Patent Information
- Application Number
- CN202510551633.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-29
- Publication Date
- 2025-08-19
- Estimated Expiration
- 2045-04-29
AI Technical Summary
The prior art lacks global data management integration in bonded wire process, fails to effectively optimize parameters of non-critical nodes, and parameter adjustments rely on independent and local data monitoring results, failing to consider the mutual influence and interaction between parameters.
By identifying the linkage relationship in the bonded alloy wire process, analyzing the supply and use of resource suppliers and users, establishing a supply-side game model and user game model, and using process parameter items to optimize process parameters to achieve linkage optimization between process stages.
The overall nature of data management integration of bonded wire process is improved, and the overall effect of process parameters is improved through linkage relationship optimization.
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Figure CN120069242B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to a linkage-type intelligent gold wire bonding process and data management integration method and system, belonging to the technical field of gold wire bonding. Background Art
[0002] Nowadays, the linked intelligent wire bonding process refers to a process in which the data generated in the process are linked to each other, and data management integration refers to the process of unified aggregation and management of the linked data generated in the process.
[0003] At present, the existing technology is to identify the key nodes in the process flow, calculate the linkage coefficients between these key nodes, and then associate different key nodes through the linkage coefficients to generate an association network. At the same time, a data monitoring device is configured for the association network, and the data monitored by the data monitoring device is uploaded to the data processing center. After the data processing center analyzes the monitoring data, it will feedback to the association network which parameters should be adjusted and the size of the parameter adjustment. First, this method only records the process parameters corresponding to the key nodes, and only optimizes the process parameters of the key nodes, without optimizing the parameters of other process nodes. Secondly, this method adjusts each parameter only based on the monitoring results of the data monitoring device corresponding to the parameter, and the monitoring results of the data monitoring device corresponding to each parameter are independent and local, and do not interact with other parameters, etc., resulting in insufficient globality of this parameter optimization method. Therefore, there is an urgent need for a solution that can improve the globality of data management integration of the gold wire bonding process. Summary of the Invention
[0004] The present invention provides a linked intelligent gold wire bonding process and data management integration method and system, the main purpose of which is to improve the globality of data management integration of the gold wire bonding process.
[0005] To achieve the above objectives, the present invention provides a method for integrating a linked intelligent gold wire bonding process and data management, comprising:
[0006] Determine a linkage data and control system for the gold wire bonding process, wherein the linkage data and control system includes a data collection device, a data analysis device, and a data integration device;
[0007] In the data collection device, the process stage of the gold wire bonding process is queried, process parameter items of the process stage are selected, the linkage relationship in the gold wire bonding process is identified using the process stage, the resource supplier and resource user in the linkage relationship are obtained, and the supplier attributes of the resource supplier that affect the resource user are identified using the process parameter items;
[0008] In the data integration device, the supply situation of the resource supplier is analyzed using the process parameter items, the supplier game model of the resource supplier is determined using the supply situation, the usage situation of the resource user is analyzed using the supplier attributes, and the user game model of the resource user is determined based on the usage situation;
[0009] In the data analysis device, a user position and a user speed of the user game model are initialized, the user position and the user speed are used to optimize the usage situation to obtain an optimized situation, and the supplier position and the supplier speed between the supplier game model and the optimized situation are initialized;
[0010] The process parameter items are optimized using the supplier position and the supplier speed to obtain optimized process parameters. Based on the optimized process parameters, linkage integrated management of the bonding wire process is performed to obtain linkage integrated management results.
[0011] Optionally, the identifying the linkage relationship in the gold wire bonding process by using the process stage includes:
[0012] Query the demand items and output items of the process stage;
[0013] Obtain any two process stages from the process stages to obtain a first process stage and a second process stage;
[0014] Determining whether the demand items of the first process stage are consistent with the output items of the second process stage;
[0015] When the demand item of the first process stage is consistent with the output item of the second process stage, determining a linkage relationship between the second process stage and the first process stage;
[0016] When the demand item of the first process stage is inconsistent with the output item of the second process stage, determining whether the demand item of the second process stage is consistent with the output item of the first process stage;
[0017] When the demand items of the second process stage are consistent with the output items of the first process stage, a linkage relationship between the first process stage and the second process stage is determined.
[0018] Optionally, analyzing the supply situation of the resource supplier by using the process parameter item includes:
[0019] Calculating the quality of the supply items of the resource supplier according to the process parameter items;
[0020] The supply status of the resource supplier is calculated based on the quality of the supplied items.
[0021] Optionally, determining a supplier game model of the resource supplier by utilizing the supply situation includes:
[0022] Determining a parameter operation strategy of the resource supplier based on the supply situation;
[0023] Determining an objective function of the resource provider based on the parameter operation strategy;
[0024] Determining constraints on the resource supplier;
[0025] The supplier game model of the resource supplier is determined by the parameter operation strategy, the objective function and the constraint conditions.
[0026] Optionally, analyzing the resource user's usage by using the supplier's attributes includes:
[0027] identifying a nonconforming amount in the supplier attribute;
[0028] The difference between the supplier attribute and the unqualified amount is used as the usage of the resource user.
[0029] Optionally, determining a user game model of the resource user based on the usage situation includes:
[0030] Determine the parameter operation mode of the resource user;
[0031] Determining a usage target of the resource user based on the usage situation and the parameter operation mode;
[0032] Determining constraint information of the resource supplier;
[0033] The user game model of the resource user is determined through the parameter operation mode, the usage target and the constraint information.
[0034] Optionally, the initializing the user position and the user speed of the user game model includes:
[0035] Initializing the population number of the user game model;
[0036] Randomly select a user position from the population corresponding to the number of populations;
[0037] After initializing the maximum number of iterations of the consumer position, the vector relationship between the consumer position and other values in the population is used as the consumer velocity.
[0038] Optionally, optimizing the usage situation by using the user position and the user speed to obtain an optimized situation includes:
[0039] The user's position is used as the initial individual optimal position and the initial group optimal position respectively;
[0040] Optimizing the user position based on the initial individual optimal position, the initial group optimal position, and the user speed to obtain an optimized position;
[0041] Comparing the usage corresponding to the optimized position with the usage corresponding to the user position to obtain a position comparison result;
[0042] Based on the position comparison result, the initial individual best position and the initial group best position are updated respectively to obtain an updated individual best position and an updated group best position;
[0043] Iteratively updating the optimized position using the updated individual best position and the updated group best position to obtain an updated position;
[0044] After the number of iterative updates on the optimized position reaches a maximum number of iterations, the optimization status is determined.
[0045] Optionally, optimizing the process parameter items by using the supplier position and the supplier speed to obtain optimized process parameters includes:
[0046] Constructing an optimization objective between a supply-side game model and the optimization situation;
[0047] The process parameter items are optimized using the supplier position, the supplier speed and the optimization target to obtain optimized process parameters.
[0048] In order to solve the above problems, the present invention also provides a linked intelligent gold wire bonding process and data management integrated system, the system comprising:
[0049] A system determination module is used to determine a linkage data tube system for the gold wire bonding process, wherein the linkage data tube system includes a data collection device, a data analysis device, and a data integration device;
[0050] an attribute identification module configured to query, in the data collection device, a process stage of a gold wire bonding process, select process parameter items of the process stage, identify a linkage relationship in the gold wire bonding process using the process stage, obtain a resource supplier and a resource user in the linkage relationship, and identify, through the process parameter items, a supplier attribute of the resource supplier that affects the resource user;
[0051] a model determination module configured to, in the data integration device, analyze the supply situation of the resource supplier using the process parameter items, determine a supplier game model of the resource supplier using the supply situation, analyze the usage situation of the resource user using the supplier attributes, and determine a user game model of the resource user based on the usage situation;
[0052] a speed initialization module, configured to initialize, in the data analysis device, a user position and a user speed of the user game model, optimize the usage situation using the user position and the user speed to obtain an optimized situation, and initialize a supplier position and a supplier speed between the supplier game model and the optimized situation;
[0053] The integrated management module is used to optimize the process parameter items using the supplier position and the supplier speed to obtain optimized process parameters, and based on the optimized process parameters, perform linkage integrated management of the bonding wire process to obtain linkage integrated management results.
[0054] Compared with the problem described in the background technology, the embodiment of the present invention uses the process stage to identify the linkage relationship in the bonding wire process, so as to convert the independent process stages into mutually linked process stages, paving the way for the subsequent analysis of the parameter optimization of the linked process stages. The embodiment of the present invention uses the process parameter items to analyze the supply situation of the resource supplier to link the process parameters with the production results. Furthermore, the embodiment of the present invention determines the user game model of the resource user based on the usage situation to generate a linkage between the producer's data and the consumer's data, analyzes the mutual influence relationship between different process stages, and thus expands the linkage relationship to a linkage relationship between process stages, thereby improving the globality of data management integration. Furthermore, the embodiment of the present invention optimizes the usage situation by using the user position and the user speed, so as to optimize the data produced by the producer through the consumer's reaction to the producer. Therefore, the linkage-type intelligent bonding wire process and data management integration method and system provided by the embodiment of the present invention can improve the globality of data management integration of the bonding wire process. BRIEF DESCRIPTION OF THE DRAWINGS
[0055] Figure 1 A schematic diagram of a process flow of a linked intelligent gold wire bonding process and data management integration method provided by one embodiment of the present invention;
[0056] Figure 2 A schematic diagram of modules for implementing the linked intelligent gold wire bonding process and data management integrated system provided in one embodiment of the present invention.
[0057] The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings and in conjunction with the embodiments. DETAILED DESCRIPTION
[0058] It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.
[0059] The embodiment of the present application provides a method for integrating a linked intelligent gold wire bonding process and data management. The execution subject of the method includes but is not limited to at least one of the electronic devices such as a server and a terminal that can be configured to execute the method provided by the embodiment of the present application. In other words, the method for integrating a linked intelligent gold wire bonding process and data management can be executed by software or hardware installed on a terminal device or a server device. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc.
[0060] Example 1:
[0061] Reference Figure 1 FIG. 1 is a flow chart of a method for integrating a linked intelligent gold wire bonding process and data management according to an embodiment of the present invention. In this embodiment, the method for integrating a linked intelligent gold wire bonding process and data management includes:
[0062] S1. Determine a linkage data-control system for a gold wire bonding process, wherein the linkage data-control system includes a data collection device, a data analysis device, and a data integration device.
[0063] In an embodiment of the present invention, the gold wire bonding process refers to pressing and welding an extremely fine gold wire with excellent ductility and conductivity to a substrate. The process of the gold wire bonding process, for example, includes multiple steps such as material preparation, ultrasonic vibration, heat energy generation, material heating, and material pressing. Among them, ultrasonic vibration is the core of achieving heating, and the selection of its frequency and power has an important influence on welding strength and process efficiency. The generation and conduction of heat energy are also key factors in determining the welding effect. The heated material forms a weld spot during the pressing process, and the size and shape of the weld spot will also affect the welding strength and stability. Furthermore, the data collection device is mainly used to collect operation data, production data, etc. during the gold wire bonding process. The data analysis equipment is mainly used to analyze how to optimize the parameters during the gold wire bonding process. The data integration equipment is mainly used to store and model the collected data.
[0064] S2. In the data collection device, query the process stage of the bonding wire process, select the process parameter items of the process stage, use the process stage to identify the linkage relationship in the bonding wire process, obtain the resource supplier and resource user in the linkage relationship, and identify the supplier attributes of the resource supplier that affect the resource user through the process parameter items.
[0065] In an embodiment of the present invention, the process stage refers to all stages in the process of the gold wire bonding process. For different gold wire bonding processes, the process stages are also different. For example, for the ultrasonic gold wire bonding process, the process stages are divided into material preparation, ultrasonic vibration, heat energy generation, material heating, material pressing and other stages. Furthermore, the process parameter items refer to the parameter categories adjusted during the operation of each process stage. For example, in the ultrasonic vibration stage, the parameter categories are frequency and power. That is to say, the process parameter items refer to process parameters, such as the mass and volume of the metal of the ultrasonic vibration, which are the quantity of the product, and are not process parameter items.
[0066] Furthermore, the embodiment of the present invention utilizes the process stages to identify the linkage relationship in the gold wire bonding process, so as to convert independent process stages into mutually linked process stages, thereby paving the way for subsequent analysis of parameter optimization of the linked process stages.
[0067] The linkage relationship refers to the relationship of mutual influence between producers and consumers.
[0068] In one embodiment of the present invention, the use of the process stages to identify the linkage relationship in the bonding wire process includes: querying the demand items and output items of the process stages; obtaining any two process stages in the process stages to obtain the first process stage and the second process stage; judging whether the demand items of the first process stage and the output items of the second process stage are consistent; when the demand items of the first process stage and the output items of the second process stage are consistent, determining the linkage relationship between the second process stage and the first process stage; when the demand items of the first process stage and the output items of the second process stage are inconsistent, judging whether the demand items of the second process stage and the output items of the first process stage are consistent; when the demand items of the second process stage and the output items of the first process stage are consistent, determining the linkage relationship between the first process stage and the second process stage.
[0069] Among them, the demand items refer to the materials required before the start of the process stage, the output items refer to the materials produced at the end of the process stage, the first process stage refers to any process stage among the process stages, and the second process stage refers to any process stage except the first process stage. Furthermore, the resource supplier refers to the producer who outputs the output items, the resource user refers to the consumer who receives the demand items, and the supplier attribute refers to the quantity of the output items output by the resource supplier.
[0070] Optionally, in the process of identifying the supplier attributes of the resource supplier that affect the resource user through the process parameter items, in an actual experimental scenario, after setting the values of the process parameter items with random values within the process stage, the amount of output items output by the resource supplier is observed.
[0071] S3. In the data integration device, the supply situation of the resource supplier is analyzed using the process parameter items, the supplier game model of the resource supplier is determined using the supply situation, the usage situation of the resource user is analyzed using the supplier attributes, and the user game model of the resource user is determined based on the usage situation.
[0072] The embodiment of the present invention analyzes the supply situation of the resource supplier by utilizing the process parameter items to link the process parameters with the production results.
[0073] In one embodiment of the present invention, analyzing the supply situation of the resource supplier by using the process parameter item includes: calculating the quality of the supplied items of the resource supplier by using the following formula according to the process parameter item:
[0074] ;
[0075] ;
[0076] in, Indicates the quality of the supplied items, It represents the result after the process parameters have the same dimension. express The results of the process parameters of different categories with the same dimension are as follows: It represents the functional relationship between process parameter items and the quality of supplied items;
[0077] According to the quality of the supplied items, the supply status of the resource supplier is calculated using the following formula:
[0078] ;
[0079] in, Indicates supply situation. express The time interval The quality of the supplies during the period, Indicates that the resource user corresponding to the resource supplier is in The quality of the items in demand during the time period.
[0080] It should be noted that Different in different application scenarios, i.e. It can be a straight line function or a curve function. Specifically, the least squares method needs to be used to fit the functional relationship between the process parameter items and the quality of the supplied items. Samples of different numerical combinations of process parameter items and samples of product quality scores by human experts are prepared. The functional relationship between the process parameter items and the quality of the supplied items can be determined by fitting the least squares method. .
[0081] In one embodiment of the present invention, determining the supplier game model of the resource supplier using the supply situation includes: determining the parameter operation strategy of the resource supplier according to the supply situation using the following method:
[0082] ;
[0083] in, express Parameter operation strategy, It represents the result after the process parameters have the same dimension. Represents a function that generates random values;
[0084] Based on the parameter operation strategy, the objective function of the resource supplier is determined in the following manner:
[0085] ;
[0086] in, represents the objective function, Indicates supply situation. express Parameter operation strategy, Indicates parameter operation strategy corresponding supply situation;
[0087] The constraints of the resource supplier are determined in the following manner:
[0088] ;
[0089] in, represents the constraints, express The optimal operation strategy of Represents the optimal operation strategy The corresponding supply situation, Indicates supply situation. express Parameter operation strategy, Indicates parameter operation strategy The corresponding supply situation, express Middle parameters The lower limit of express Middle parameters Upper limit of
[0090] The supplier game model of the resource supplier is determined by the parameter operation strategy, the objective function and the constraint conditions.
[0091] It should be noted that Include ,therefore It is for each Generate random values, such as Generate 1, right Generate 2 and so on, the supply-side game model is composed of the parameter operation strategy, the objective function and the constraint conditions, and the optimal operation strategy Corresponding The value of is determined by the subsequent particle swarm optimization algorithm.
[0092] In one embodiment of the present invention, analyzing the usage of the resource user by using the supplier attributes includes: identifying the unqualified amount in the supplier attributes; and taking the difference between the supplier attributes and the unqualified amount as the usage of the resource user.
[0093] The unqualified quantity refers to the quantity of products with unqualified product quality.
[0094] Furthermore, the embodiment of the present invention determines the user game model of the resource user based on the usage situation, so as to create a linkage between the producer's data and the consumer's data, analyze the mutual influence relationship between different process stages, and thus expand the linkage relationship to a linkage relationship between process stages, thereby improving the globality of data management integration.
[0095] In one embodiment of the present invention, determining the user game model of the resource user based on the usage situation includes: determining the parameter operation mode of the resource user using the following method:
[0096] ;
[0097] in, express Parameter operation mode, Indicates the amount of failure, Represents a function that generates random values;
[0098] Based on the usage and the parameter operation mode, the usage target of the resource user is determined in the following manner:
[0099] ;
[0100] in, Indicates the target of use. express Parameter operation mode, Indicates parameter operation mode corresponding usage;
[0101] The constraint information of the resource provider is determined in the following manner:
[0102] ;
[0103] in, Indicates constraint information. express The optimal operating mode, Indicates parameter operation mode The corresponding usage, express Parameter operation mode, Indicates the optimal operating mode The corresponding usage, express The lower limit of express Upper limit of
[0104] The user game model of the resource user is determined through the parameter operation mode, the usage target and the constraint information.
[0105] The user game model is composed of the parameter operation mode, the usage target and the constraint information.
[0106] S4. In the data analysis device, the user position and the user speed of the user game model are initialized, the user position and the user speed are used to optimize the usage situation to obtain the optimized situation, and the supplier position and the supplier speed between the supplier game model and the optimized situation are initialized.
[0107] In one embodiment of the present invention, the initialization of the user position and the user speed of the user game model includes: initializing the number of populations of the user game model; randomly selecting the user position from the population corresponding to the number of populations; after initializing the maximum number of iterations of the user position, using the vector relationship between the user position and other numerical values in the population as the user speed.
[0108] Among them, the population number refers to the number of random values that can be generated by the unqualified quantity in the user's game model within the constraints. The population corresponding to the population number refers to the set of random values that can be generated by the unqualified quantity within the constraints. The user's position refers to the random value that can be generated by the unqualified quantity within the constraints. The maximum number of iterations refers to the number of rounds of iterative updates of the position using the particle swarm optimization algorithm. The vector relationship between the user's position and other values in the population includes the magnitude and direction of the vector. That is, the distribution of values within the population corresponding to the population number is a discrete graph distribution.
[0109] Furthermore, the embodiment of the present invention optimizes the usage by utilizing the user location and the user speed, so as to optimize the data produced by the producer through the reaction of the consumer to the producer.
[0110] In one embodiment of the present invention, the use of the user position and the user speed to optimize the usage situation to obtain the optimized situation includes: taking the user position as the initial individual optimal position and the initial group optimal position respectively; optimizing the user position based on the initial individual optimal position, the initial group optimal position and the user speed to obtain the optimized position; comparing the usage situation corresponding to the optimized position with the usage situation corresponding to the user position to obtain a position comparison result; based on the position comparison result, updating the initial individual optimal position and the initial group optimal position respectively to obtain an updated individual optimal position and an updated group optimal position; iteratively updating the optimized position using the updated individual optimal position and the updated group optimal position to obtain an updated position; determining the optimized situation after the number of iterative updates to the optimized position reaches a maximum number of iterations.
[0111] Optionally, the process of optimizing the user position based on the initial individual optimal position, the initial group optimal position and the user speed to obtain the optimized position is performed by formula accomplish, 、 Indicates speed, represents the inertia weight, 、 represents a random decimal, represents the initial individual optimal position, represents the optimal position of the initial group, Indicates the user's location. 、 represents the learning factor, Represents the iteration round. It should be noted that, in the first iteration, the initial individual best position and the initial group best position are used to update the user position. In the second iteration, it is necessary to select a new individual best position and group best position again, and update the position again until the number of iterative updates reaches the maximum number of iterations. The aforementioned process of comparing the usage corresponding to the optimized position with the usage corresponding to the user position refers to selecting the usage with the minimum value between the usage corresponding to the optimized position and the usage corresponding to the user position, and taking the numerical value of the unqualified amount corresponding to this minimum usage as the current optimal solution. This optimal solution can be used to determine the new individual best position and group best position for the next round. The individual best position refers to the optimal solution experienced by the position trajectory in the process of the individual user position being adjusted to other positions in turn. The group best position refers to the optimal solution in the population. Furthermore, the size of the optimized position needs to conform to the usage objectives and constraint information of the user game model and be the optimal solution.
[0112] S5. Optimize the process parameter items using the supplier position and the supplier speed to obtain optimized process parameters. Based on the optimized process parameters, perform linkage integrated management of the gold wire bonding process to obtain linkage integrated management results.
[0113] In one embodiment of the present invention, optimizing the process parameter items using the supplier position and the supplier speed to obtain the optimized process parameters includes: constructing an optimization target between a supplier game model and the optimization situation using the following method:
[0114] ;
[0115] in, represents the optimization goal, Indicates the final position corresponding to the optimization situation, The supply-side game model corresponds to Middle parameters, express The quality of the supply items corresponding to the parameters, express The corresponding unqualified amount, The threshold value indicating failure;
[0116] The process parameter items are optimized using the supplier position, the supplier speed and the optimization target to obtain optimized process parameters.
[0117] It should be noted that the particle swarm optimization algorithm is used When optimizing, only one category can be optimized at a time. , for example, each time only optimize The value of After the value of , and finally optimize all The unqualified threshold is a pre-set value under different application scenarios. The specific setting value needs to be combined with the actual application scenario and will not be elaborated here.
[0118] Optionally, the process of optimizing the process parameters using the optimization target to obtain the optimized process parameters is similar to the principle of optimizing the usage using the user position and the user speed to obtain the optimized situation. That is, the optimization The size of makes the optimization result meet the objective function and constraints of the supply-side game model, and the optimized is the optimal solution.
[0119] Compared with the problem described in the background technology, the embodiment of the present invention uses the process stage to identify the linkage relationship in the bonding wire process, so as to convert the independent process stages into mutually linked process stages, paving the way for the subsequent analysis of the parameter optimization of the linked process stages. The embodiment of the present invention uses the process parameter items to analyze the supply situation of the resource supplier to link the process parameters with the production results. Furthermore, the embodiment of the present invention determines the user game model of the resource user based on the usage situation to generate a linkage between the producer's data and the consumer's data, analyzes the mutual influence relationship between different process stages, and thus expands the linkage relationship to a linkage relationship between process stages, thereby improving the globality of data management integration. Furthermore, the embodiment of the present invention optimizes the usage situation by using the user position and the user speed, so as to optimize the data produced by the producer through the consumer's reaction to the producer. Therefore, the linkage-type intelligent bonding wire process and data management integration method and system provided by the embodiment of the present invention can improve the globality of data management integration of the bonding wire process.
[0120] Example 2:
[0121] like Figure 2 The figure shows a functional module diagram of a linkage-type intelligent gold wire bonding process and data management integrated system of the present invention.
[0122] The linked intelligent gold wire bonding process and data management integrated system 200 described in the present invention can be installed in an electronic device. Depending on the functionality implemented, the linked intelligent gold wire bonding process and data management integrated system may include a system determination module 201, an attribute identification module 202, a model determination module 203, a speed initialization module 204, and an integrated management module 205. A module, also referred to as a unit, is a series of computer program segments that can be executed by an electronic device processor and perform a fixed function. These are stored in the electronic device's memory.
[0123] In the embodiment of the present invention, the functions of each module / unit are as follows:
[0124] The system determination module 201 is used to determine the linkage data tube system of the gold wire bonding process, wherein the linkage data tube system includes a data collection device, a data analysis device and a data integration device;
[0125] The attribute identification module 202 is configured to query the process stage of the gold wire bonding process in the data collection device, select process parameter items of the process stage, use the process stage to identify the linkage relationship in the gold wire bonding process, obtain the resource supplier and resource user in the linkage relationship, and identify the supplier attributes of the resource supplier that affect the resource user through the process parameter items;
[0126] The model determination module 203 is configured to, in the data integration device, analyze the supply situation of the resource supplier using the process parameter items, determine the supplier game model of the resource supplier using the supply situation, analyze the usage situation of the resource user using the supplier attributes, and determine the user game model of the resource user based on the usage situation;
[0127] The speed initialization module 204 is configured to initialize the user position and user speed of the user game model in the data analysis device, optimize the usage situation using the user position and user speed to obtain an optimized situation, and initialize the supplier position and supplier speed between the supplier game model and the optimized situation;
[0128] The integrated management module 205 is used to optimize the process parameter items using the supplier position and the supplier speed to obtain optimized process parameters, and based on the optimized process parameters, perform linkage integrated management of the bonding wire process to obtain linkage integrated management results.
[0129] In detail, the modules in the linked intelligent bonding wire process and data management integrated system 200 in the embodiment of the present invention are used in the same manner as above. Figure 1The linked intelligent gold wire bonding process and data management integration method described in the specification have the same technical means and can produce the same technical effects, so they will not be repeated here.
[0130] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.
[0131] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not limiting. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention.
Claims
1. A method for integrating linked intelligent gold wire bonding process and data management, characterized in that: The method comprises: Determine a linkage data and control system for the gold wire bonding process, wherein the linkage data and control system includes a data collection device, a data analysis device, and a data integration device; In the data collection device, a process stage of a gold wire bonding process is queried, a process parameter item of the process stage is selected, a linkage relationship in the gold wire bonding process is identified using the process stage, a resource supplier and a resource user in the linkage relationship are obtained, and a supplier attribute of the resource supplier that affects the resource user is identified using the process parameter item. The identification of the linkage relationship in the gold wire bonding process using the process stage includes: Query the demand items and output items of the process stage; Obtain any two process stages from the process stages to obtain a first process stage and a second process stage; Determining whether the demand items of the first process stage are consistent with the output items of the second process stage; When the demand item of the first process stage is consistent with the output item of the second process stage, determining a linkage relationship between the second process stage and the first process stage; When the demand item of the first process stage is inconsistent with the output item of the second process stage, determining whether the demand item of the second process stage is consistent with the output item of the first process stage; When the demand item of the second process stage is consistent with the output item of the first process stage, determining the linkage relationship between the first process stage and the second process stage; In the data integration device, the supply situation of the resource supplier is analyzed using the process parameter items, the supplier game model of the resource supplier is determined using the supply situation, the usage situation of the resource user is analyzed using the supplier attributes, and the user game model of the resource user is determined based on the usage situation; In the data analysis device, a user position and a user speed of the user game model are initialized, the user position and the user speed are used to optimize the usage situation to obtain an optimized situation, and the supplier position and the supplier speed between the supplier game model and the optimized situation are initialized; The process parameter items are optimized using the supplier position and the supplier speed to obtain optimized process parameters. Based on the optimized process parameters, linkage integrated management of the bonding wire process is performed to obtain linkage integrated management results.
2. The method for integrating linked intelligent gold wire bonding process and data management according to claim 1, wherein: The analyzing the supply situation of the resource supplier by using the process parameter items includes: Calculating the quality of the supply items of the resource supplier according to the process parameter items; The supply status of the resource supplier is calculated based on the quality of the supplied items.
3. The method for integrating linked intelligent gold wire bonding process and data management according to claim 1, wherein: The supplier game model for determining the resource supplier by utilizing the supply situation includes: Determining a parameter operation strategy of the resource supplier based on the supply situation; Determining an objective function of the resource provider based on the parameter operation strategy; Determining constraints on the resource supplier; The supplier game model of the resource supplier is determined by the parameter operation strategy, the objective function and the constraint conditions.
4. The method for integrating linked intelligent gold wire bonding process and data management according to claim 1, wherein: The analyzing the resource user's usage by using the supplier's attributes includes: identifying a nonconforming amount in the supplier attribute; The difference between the supplier attribute and the unqualified amount is used as the usage of the resource user.
5. The method for integrating linked intelligent gold wire bonding process and data management according to claim 1, wherein: Determining a user game model of the resource user based on the usage situation includes: Determine the parameter operation mode of the resource user; Determining a usage target of the resource user based on the usage situation and the parameter operation mode; Determining constraint information of the resource supplier; The user game model of the resource user is determined through the parameter operation mode, the usage target and the constraint information.
6. The method for integrating linked intelligent gold wire bonding process and data management according to claim 1, wherein: Initializing the user position and the user speed of the user game model includes: Initializing the population number of the user game model; Randomly select a user position from the population corresponding to the number of populations; After initializing the maximum number of iterations of the consumer position, the vector relationship between the consumer position and other values in the population is used as the consumer velocity.
7. The method for integrating linked intelligent gold wire bonding process and data management according to claim 1, wherein: The optimizing the usage condition by using the user position and the user speed to obtain the optimized condition includes: The user's position is used as the initial individual optimal position and the initial group optimal position respectively; Optimizing the user position based on the initial individual optimal position, the initial group optimal position, and the user speed to obtain an optimized position; Comparing the usage corresponding to the optimized position with the usage corresponding to the user position to obtain a position comparison result; Based on the position comparison result, the initial individual best position and the initial group best position are updated respectively to obtain an updated individual best position and an updated group best position; Iteratively updating the optimized position using the updated individual best position and the updated group best position to obtain an updated position; After the number of iterative updates on the optimized position reaches a maximum number of iterations, the optimization status is determined.
8. The method for integrating linked intelligent gold wire bonding process and data management according to claim 1, wherein: The optimizing the process parameter items by using the supplier position and the supplier speed to obtain the optimized process parameters includes: Constructing an optimization objective between a supply-side game model and the optimization situation; The process parameter items are optimized using the supplier position, the supplier speed and the optimization target to obtain optimized process parameters.
9. A linked intelligent gold wire bonding process and data management integrated system, characterized in that: The system comprises: A system determination module is used to determine a linkage data tube system for the gold wire bonding process, wherein the linkage data tube system includes a data collection device, a data analysis device, and a data integration device; An attribute identification module is configured to query, in the data collection device, a process stage of a gold wire bonding process, select process parameter items of the process stage, use the process stage to identify a linkage relationship in the gold wire bonding process, obtain a resource supplier and a resource user in the linkage relationship, and identify, through the process parameter items, supplier attributes of the resource supplier that affect the resource user, wherein using the process stage to identify the linkage relationship in the gold wire bonding process includes: Query the demand items and output items of the process stage; Obtain any two process stages from the process stages to obtain a first process stage and a second process stage; Determining whether the demand items of the first process stage are consistent with the output items of the second process stage; When the demand item of the first process stage is consistent with the output item of the second process stage, determining a linkage relationship between the second process stage and the first process stage; When the demand item of the first process stage is inconsistent with the output item of the second process stage, determining whether the demand item of the second process stage is consistent with the output item of the first process stage; When the demand item of the second process stage is consistent with the output item of the first process stage, determining the linkage relationship between the first process stage and the second process stage; a model determination module configured to, in the data integration device, analyze the supply situation of the resource supplier using the process parameter items, determine a supplier game model of the resource supplier using the supply situation, analyze the usage situation of the resource user using the supplier attributes, and determine a user game model of the resource user based on the usage situation; a speed initialization module, configured to initialize, in the data analysis device, a user position and a user speed of the user game model, optimize the usage situation using the user position and the user speed to obtain an optimized situation, and initialize a supplier position and a supplier speed between the supplier game model and the optimized situation; The integrated management module is used to optimize the process parameter items using the supplier position and the supplier speed to obtain optimized process parameters, and based on the optimized process parameters, perform linkage integrated management of the bonding wire process to obtain linkage integrated management results.
Citation Information
Patent Citations
AI-driven gold bonding wire process parameter optimization method and system
CN119272011A