Linkage type intelligent gold wire bonding process and data management integration method and system

Abstract

The invention relates to the technical field of gold wire bonding, and discloses a linkage type intelligent gold wire bonding process and data management integration method and system, and the method comprises the steps: recognizing a linkage relation in a gold wire bonding process through a process stage, and recognizing the supplier attribute of a resource supplier affecting a resource user; the supply condition of the resource supplier is analyzed, a supplier game model of the resource supplier is determined by using the technological parameter items and the supply condition, the use condition of the resource user is analyzed by using the supplier attributes, and a user game model of the resource user is determined; initializing a user position and a user speed of the user game model, optimizing a supplier attribute by using the user position and the user speed, and initializing a supplier position and a supplier speed between the supplier game model and the optimized supplier attribute; and optimizing the process parameter items by using the supplier position and the supplier speed to obtain optimized process parameters. According to the invention, the globality of data management integration of the gold wire bonding process can be improved.

Description

Technical Field

[0001] The present invention relates to an integrated method and system for a linkage type intelligent bonding wire process and data management, belonging to the technical field of bonding wires. Background Art

[0002] Currently, the linkage type intelligent bonding wire process refers to a process in which the data generated in the process are interconnected, and data management integration refers to the process of uniformly summarizing and managing the interconnected data generated in the process.

[0003] Currently, the existing technology is to identify the key nodes in the process flow, calculate the linkage coefficients between these key nodes, then associate different key nodes through the linkage coefficients, and generate an association network. At the same time, a data monitoring device for the association network is configured, and the data monitored by the data monitoring device is uploaded to the data processing center. After the data processing center analyzes the monitored data, it feeds back to the association network which parameters should be adjusted and the magnitude of the parameter adjustment, etc. 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. Second, for the adjustment of each parameter, it only depends on the monitoring results of the data monitoring device corresponding to that parameter, and the monitoring results of the data monitoring device corresponding to each parameter are independent and local, without interacting with other parameters, resulting in insufficient globality of this parameter optimization method. Therefore, there is an urgent need for a solution to improve the globality of data management integration in the bonding wire process. Summary of the Invention

[0004] The present invention provides an integrated method and system for a linkage type intelligent bonding wire process and data management, and its main purpose is to improve the globality of data management integration in the bonding wire process.

[0005] To achieve the above object, an integrated method for a linkage type intelligent bonding wire process and data management provided by the present invention includes: Determine the linkage data management system for the bonding wire process, wherein the linkage data management system includes a data collection device, a data analysis device, and a data integration device; In the data collection device, query the process stages 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 attribute of the resource supplier affecting the resource user through the process parameter items; In the data integration device, analyze the supply situation of the resource provider, determine the supply-side game model of the resource provider by using the process parameter items and the supply situation, analyze the usage situation of the resource user by using the provider attributes, and determine the user-side game model of the resource user according to the usage situation; In the data analysis device, initialize the user position and user speed of the user-side game model, optimize the provider attributes by using the user position and the user speed to obtain optimized supply attributes, and initialize the supply position and supply speed between the supply-side game model and the optimized supply attributes; Optimize the process parameter items by using the supply position and the supply speed to obtain optimized process parameters, and perform linkage integration management of the gold wire bonding process based on the optimized process parameters to obtain a linkage integration management result.

[0006] Optionally, the step of identifying the linkage relationship in the gold wire bonding process by using the process stage includes: Query the required items and output items of the process stage; Obtain any two process stages in the process stage to get a first process stage and a second process stage; Judge whether the required items of the first process stage are consistent with the output items of the second process stage; When the required items of the first process stage are consistent with the output items of the second process stage, determine the linkage relationship between the second process stage and the first process stage; When the required items of the first process stage are not consistent with the output items of the second process stage, judge whether the required items of the second process stage are consistent with the output items of the first process stage; When the required items of the second process stage are consistent with the output items of the first process stage, determine the linkage relationship between the first process stage and the second process stage.

[0007] Optionally, the step of analyzing the supply situation of the resource provider by using the process parameter items includes: Calculate the quality of the supplied items of the resource provider according to the process parameter items; Calculate the supply situation of the resource provider according to the quality of the supplied items.

[0008] Optionally, the step of determining the supply-side game model of the resource provider by using the supply situation includes: Determine the parameter operation strategy of the resource provider according to the supply situation; Based on the parameter operation strategy, determine the objective function of the resource supplier; Determine the constraint conditions of the resource supplier; Determine the supplier game model of the resource supplier through the parameter operation strategy, the objective function and the constraint conditions.

[0009] Optionally, analyzing the usage of the resource user by using the supplier attributes includes: Identify the unqualified quantity in the supplier attributes; Take the difference between the supplier attributes and the unqualified quantity as the usage of the resource user.

[0010] Optionally, determining the user game model of the resource user according to the usage includes: Determine the parameter operation mode of the resource user; Based on the usage and the parameter operation mode, determine the usage target of the resource user; Determine the constraint information of the resource supplier; Determine the user game model of the resource user through the parameter operation mode, the usage target and the constraint information.

[0011] Optionally, initializing the user position and user speed of the user game model includes: Initialize the population size of the user game model; Randomly select user positions in the population corresponding to the population size; After initializing the maximum number of iterations of the user position, take the vector relationship between the user position and other values in the population as the user speed.

[0012] Optionally, optimizing the usage by using the user position and the user speed to obtain an optimized situation includes: Take the user positions as the initial individual best position and the initial group best position respectively; Based on the initial individual best position, the initial group best position and the user speed, optimize the user position to obtain an optimized position; Compare 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, update the initial individual best position and the initial group best position respectively to obtain an updated individual best position and an updated group best position; Iteratively update the optimized position by using the updated individual best position and the updated population best position to obtain an updated position; After the number of times of iteratively updating the optimized position reaches the maximum number of iterations, determine the optimization situation.

[0013] Optionally, the optimizing the process parameter item by using the supplier position and the supplier speed to obtain an optimized process parameter includes: Construct an optimization objective between the supplier game model and the optimization situation; Optimize the process parameter item by using the optimization objective to obtain an optimized process parameter.

[0014] To solve the above problems, the present invention further provides a linkage type intelligent gold wire bonding process and data management integration system, and the system includes: A system determination module, configured to determine a linkage data management system for the gold wire bonding process, where the linkage data management system includes a data collection device, a data analysis device, and a data integration device; An attribute recognition module, configured to query the process stage of the gold wire bonding process in the data collection device, select the process parameter item of the process stage, identify the linkage relationship in the gold wire bonding process by using the process stage, obtain the resource supplier and the resource user in the linkage relationship, and identify the supplier attribute of the resource supplier affecting the resource user by using the process parameter item; A model determination module, configured to analyze the supply situation of the resource supplier in the data integration device, determine the supply game model of the resource supplier by using the process parameter item and the supply situation, analyze the usage situation of the resource user by using the supplier attribute, and determine the usage game model of the resource user according to the usage situation; A speed initialization module, configured to initialize the user position and the user speed of the usage game model in the data analysis device, optimize the supplier attribute by using the user position and the user speed to obtain an optimized supply attribute, and initialize the supplier position and the supplier speed between the supply game model and the optimized supply attribute; An integration management module, configured to optimize the process parameter item by using the supplier position and the supplier speed to obtain an optimized process parameter, and perform linkage integration management on the gold wire bonding process based on the optimized process parameter to obtain a linkage integration management result.

[0015] Compared with the problems described in the background art, in the embodiments of the present invention, the linkage relationship in the gold wire bonding process is identified by using the process stage, so as to convert independent process stages into interlinked process stages, laying a foundation for subsequent analysis of parameter optimization of the interlinked process stages. In the embodiments of the present invention, the supply situation of the resource provider is analyzed by using the process parameter items to link process parameters with production results. Further, in the embodiments of the present invention, according to the usage situation, the usage-side game model of the resource user is determined to link the data of the producer and the data of the consumer, and analyze the mutual influence relationship between different process stages, so as to expand the linkage relationship into the linkage relationship between process stages, improving the global nature of data management integration. Further, in the embodiments of the present invention, the usage situation is optimized by using the user position and the user speed, so as to optimize the data output by the producer through the reaction of the consumer to the producer. Therefore, the linkage intelligent gold wire bonding process and data management integration method and system provided by the embodiments of the present invention can improve the global nature of data management integration of the gold wire bonding process. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a schematic flowchart of a linkage intelligent gold wire bonding process and data management integration method provided by an embodiment of the present invention; Figure 2 It is a schematic block diagram of a system for implementing the linkage intelligent gold wire bonding process and data management integration provided by an embodiment of the present invention.

[0017] The realization, functional features and advantages of the present invention will be further described with reference to the embodiments and the accompanying drawings. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0018] It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0019] The embodiments of the present application provide a linkage intelligent gold wire bonding process and data management integration method. The execution subject of the linkage intelligent gold wire bonding process and data management integration method includes but is not limited to at least one of electronic devices such as a server, a terminal, etc. that can be configured to execute the method provided by the embodiments of the present application. In other words, the linkage intelligent gold wire bonding process and data management integration method 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.

[0020] Embodiment 1: Refer to Figure 1As shown in the figure, it is a schematic flowchart of the integrated method for the linkage intelligent bonding wire process and data management provided by an embodiment of the present invention. In this embodiment, the integrated method for the linkage intelligent bonding wire process and data management includes: S1. Determine the linkage data management system for the bonding wire process, where the linkage data management system includes a data collection device, a data analysis device, and a data integration device.

[0021] In the embodiment of the present invention, the bonding wire process refers to the process of pressure welding extremely fine gold wires with good ductility and conductivity to the substrate - substrate. The process of the bonding wire 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 for realizing heating, and the selection of its frequency and power has an important impact on the welding strength and process efficiency. The generation and conduction of heat energy are also key factors determining the welding effect. The heated material forms solder joints during the pressing process, and the size and shape of the solder joints also affect the welding strength and stability. Further, the data collection device is mainly used to collect operation data, production data, etc. during the bonding wire process. The data analysis device is mainly used to analyze how to optimize the parameters during the bonding wire process. The data integration device is mainly used to store and model the collected data.

[0022] S2. In the data collection device, query the process stages 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 attribute of the resource supplier affecting the resource user through the process parameter items.

[0023] In the embodiment of the present invention, the process stage refers to all stages in the process of the bonding wire process. For different bonding wire processes, the process stages are also different. For example, for the ultrasonic bonding wire process, the process stages are divided into material preparation, ultrasonic vibration, heat energy generation, material heating, material pressing, etc. Further, the process parameter item refers to the parameter category 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 item refers to process parameters, such as the mass and volume of the metal during ultrasonic vibration, which are the quantities of the product and not the process parameter items.

[0024] Further, in the embodiment of the present invention, by using the process stage to identify the linkage relationship in the bonding wire process, the independent process stages are converted into mutually linked process stages, laying a foundation for subsequent analysis of parameter optimization of the linked process stages.

[0025] Among them, the linkage relationship refers to the mutually influencing relationship between producers and consumers.

[0026] In an embodiment of the present invention, the utilization of the process stage to identify the linkage relationship in the bonding wire process includes: querying the required items and output items of the process stage; obtaining any two process stages in the process stage to obtain a first process stage and a second process stage; determining whether the required items of the first process stage are consistent with the output items of the second process stage; when the required items of the first process stage are consistent with the output items of the second process stage, determining the linkage relationship between the second process stage and the first process stage; when the required items of the first process stage are inconsistent with the output items of the second process stage, determining whether the required items of the second process stage are consistent with the output items of the first process stage; when the required items of the second process stage are consistent with the output items of the first process stage, determining the linkage relationship between the first process stage and the second process stage.

[0027] Wherein, the required item refers to the material required before the start of the process stage, the output item refers to the material produced at the end of the process stage, the first process stage refers to any process stage in the process stage, the second process stage refers to any process stage other than the first process stage. Further, the resource supplier refers to the producer who outputs the output item, the resource user refers to the consumer who receives the required item, and the supplier attribute refers to the quantity of the output item output by the resource supplier.

[0028] Optionally, in the process of identifying the supplier attribute of the resource supplier affecting the resource user through the process parameter item, in an actual experimental scenario, after setting the value of the process parameter item with a random value within the process stage, observe the quantity of the output item output by the resource supplier.

[0029] S3. In the data integration device, analyze the supply situation of the resource supplier by using the process parameter item, determine the supply game model of the resource supplier by using the supply situation, analyze the usage situation of the resource user by using the supplier attribute, and determine the usage game model of the resource user according to the usage situation.

[0030] The embodiment of the present invention analyzes the supply situation of the resource supplier by using the process parameter item to link the process parameter with the production result.

[0031] In an embodiment of the present invention, the utilization of the process parameter item to analyze the supply situation of the resource supplier includes: calculating the quality of the supply item of the resource supplier by using the following formula according to the process parameter item: ; ; Among them, represents the quality of the supplied item, represents the result after the process parameter items are made dimensionless, represents the results after the process parameter items of different categories are made dimensionless; represents the functional relationship between the process parameter items and the quality of the supplied item; ; Among them, represents the supply situation, represents the quality of the supplied item in the th time period within the time interval, represents the quality of the demanded item of the resource user corresponding to the resource supplier in the th time period.

[0032] It should be noted that varies in different application scenarios, that is, can be a linear function, a curve function, etc. 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 item, prepare numerical combination samples of different process parameter items, and scoring samples of the quality of the product by artificial experts, and then the functional relationship between the process parameter items and the quality of the supplied item can be determined by fitting with the least squares method .

[0033] In an embodiment of the present invention, the supply-side game model of the resource supplier determined by using the supply situation includes: determining the parameter operation strategy of the resource supplier by using the following method according to the supply situation: ; Among them, represents the parameter operation strategy of represents the result after the process parameter items are made dimensionless, represents a function for generating random values; Based on the parameter operation strategy, determine the objective function of the resource supplier by using the following method: ; Among them, represents the objective function, represents the supply situation, represents the parameter operation strategy of Indicates the parameter operation strategy The corresponding supply situation; Determine the constraint conditions of the resource supplier in the following manner: ; Wherein, Indicates the constraint condition, Indicates The optimal operation strategy of, Indicates the optimal operation strategy The corresponding supply situation, Indicates the supply situation, Indicates The parameter operation strategy of, Indicates the parameter operation strategy The corresponding supply situation, Indicates In the th parameter The lower limit of, Indicates In the th parameter The upper limit of; Determine the supplier game model of the resource supplier through the parameter operation strategy, the objective function and the constraint conditions.

[0034] It should be noted that, Contains Therefore Is to generate random numerical values for each For example, generate 1 for Generate 2 for And so on. The supplier game model is composed of the parameter operation strategy, the objective function and the constraint conditions. The numerical value corresponding to the optimal operation strategy Corresponding Is determined by the subsequent particle swarm optimization algorithm.

[0035] In an embodiment of the present invention, the use of the supplier attribute to analyze the use situation of the resource user includes: identifying the unqualified quantity in the supplier attribute; taking the difference between the supplier attribute and the unqualified quantity as the use situation of the resource user.

[0036] Wherein, the unqualified quantity refers to the quantity of products with unqualified product quality.

[0037] Further, in the embodiment of the present invention, by determining the usage game model of the resource user according to the usage situation, the data of the producer and the data of the consumer are linked, and the mutual influence relationship between different process stages is analyzed, so that the linkage relationship is expanded to the linkage relationship between process stages, improving the global nature of data management integration.

[0038] In one embodiment of the present invention, the determining the usage game model of the resource user according to the usage situation includes: determining the parameter operation mode of the resource user by the following method: ; wherein, represents the parameter operation mode of represents the unqualified quantity, represents the function for generating random numerical values; Based on the usage situation and the parameter operation mode, determining the usage target of the resource user by the following method: ; wherein, represents the usage target, represents the parameter operation mode of represents the parameter operation mode corresponding to the usage situation; Determining the constraint information of the resource supplier by the following method: ; wherein, represents the constraint information, represents the optimal operation mode of represents the parameter operation mode corresponding to the usage situation, represents the parameter operation mode of represents the optimal operation mode corresponding to the usage situation, represents the lower limit of represents the upper limit of Determining the usage game model of the resource user through the parameter operation mode, the usage target and the constraint information.

[0039] Wherein, the usage game model is composed of the parameter operation mode, the usage target and the constraint information.

[0040] S4. In the data analysis device, initialize the user position and user speed of the user game model, optimize the usage using the user position and the user speed to obtain an optimized situation, and initialize the supplier position and supplier speed between the supplier game model and the optimized situation.

[0041] In an embodiment of the present invention, the initialization of the user position and user speed of the user game model includes: initializing the population size of the user game model; randomly selecting a user position in the population corresponding to the population size; after initializing the maximum number of iterations of the user position, using the vector relationship between the user position and other values in the population as the user speed.

[0042] Wherein, the population size refers to the number of random values that can be generated by the non-conforming quantity in the user game model within the constraint conditions, the population corresponding to the population size refers to the set of random values that can be generated by the non-conforming quantity within the constraint conditions, the user position refers to the random value that can be generated by the non-conforming quantity within the constraint conditions, the maximum number of iterations refers to the number of rounds of iterative updating of the position using the particle swarm optimization algorithm later, and the vector relationship between the user position and other values in the population includes the magnitude and direction of the vector. That is to say, the distribution of the values in the population corresponding to the population size is a discrete graph distribution.

[0043] Furthermore, in the embodiment of the present invention, the usage is optimized by using the user position and the user speed to optimize the data output by the producer through the counteraction of the consumer on the producer.

[0044] In an embodiment of the present invention, the optimization of the usage using the user position and the user speed to obtain an optimized situation includes: using the user position as the initial individual best position and the initial population best position respectively; optimizing the user position based on the initial individual best position, the initial population best 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; updating the initial individual best position and the initial population best position respectively based on the position comparison result to obtain an updated individual best position and an updated population best position; iteratively updating the optimized position using the updated individual best position and the updated population best position to obtain an updated position; after the number of times of iteratively updating the optimized position reaches the maximum number of iterations, determine the optimized situation.

[0045] Optionally, the process of optimizing the user position based on the initial individual best position, the initial population best position, and the user speed to obtain the optimized position is performed through the formula implemented by , represents the speed, represents the inertia weight, , represents a random decimal, represents the initial individual best position, represents the initial population best position, represents the user position, , 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 population best position are used to update the user position. In the second iteration, new individual best position and population best position need to be selected again to update the position until the number of iterative updates reaches the maximum number of iterations. And the 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 among the usage corresponding to the optimized position and the usage corresponding to the user position, and taking the value of the non-conforming quantity corresponding to this minimum usage as the current optimal solution. The new individual best position and population best position for the next round can be determined through this optimal solution. The individual best position refers to the optimal solution experienced by the position trajectory during the process of the user position being sequentially adjusted to other positions one by one. The population best position refers to the optimal solution in the population. Further, the magnitude of the optimized position needs to conform to the usage objective and constraint information of the user game model and be the optimal solution.

[0046] S5. Optimize the process parameter items by using the supplier position and the supplier speed to obtain optimized process parameters, and perform linkage integration management on the bonding wire process based on the optimized process parameters to obtain a linkage integration management result.

[0047] In an embodiment of the present invention, the process of optimizing the process parameter items by using the supplier position and the supplier speed to obtain optimized process parameters includes: constructing an optimization objective between the supplier game model and the optimization situation by using the following method: ; wherein, represents the optimization objective, represents the final position corresponding to the optimization situation, represents the in the supplier game model corresponding to the th parameter, represents The quality of the supply item corresponding to the parameter, denote the corresponding non-conforming quantity, denote the threshold value of non-conformance; Optimize the process parameter item by using the optimization objective to obtain the optimized process parameter.

[0048] It should be noted that when using the particle swarm optimization algorithm only one category can be optimized each time , for example, only optimize the value of each time. After optimizing the value of , then optimize the values of other categories in turn , and finally optimize all of . The threshold value of non-conformance is a preset value under different application scenarios. The specific set value needs to be combined with the actual application scenario and will not be elaborated here.

[0049] Optionally, the process of optimizing the process parameter item by using the optimization objective to obtain the optimized process parameter is similar to the principle of the foregoing process of optimizing the usage situation by using the user position and the user speed, that is, optimizing the magnitude of so that the optimized result conforms to the objective function and constraint conditions of the supplier game model, and the optimized

[0050] Compared with the problems described in the background art, the embodiment of the present invention identifies the linkage relationship in the gold wire bonding process by using the process stage, so as to convert the independent process stages into interlinked process stages, laying a foundation for subsequent analysis of the parameter optimization of the interlinked process stages. The embodiment of the present invention analyzes the supply situation of the resource supplier by using the process parameter item to link the process parameter and the production result. Further, the embodiment of the present invention determines the user game model of the resource user according to the usage situation to link the data of the producer and the data of the consumer, analyzes the mutual influence relationship between different process stages, thereby expanding the linkage relationship to the linkage relationship between process stages, improving the global nature of data management integration. Further, the embodiment of the present invention optimizes the usage situation by using the user position and the user speed to optimize the data output by the producer through the reaction of the consumer to the producer. Therefore, the linkage type intelligent gold wire bonding process and data management integration method and system provided by the embodiment of the present invention can improve the global nature of data management integration of the gold wire bonding process.

[0051] Embodiment 2: As Figure 2As shown, it is a functional module diagram of an integrated system for a linkage intelligent bonding wire process and data management according to the present invention.

[0052] The integrated system 200 for a linkage intelligent bonding wire process and data management according to the present invention can be installed in an electronic device. According to the functions achieved, the integrated system for a linkage intelligent bonding wire process and data management can include a system determination module 201, an attribute recognition module 202, a model determination module 203, a speed initialization module 204, and an integrated management module 205. The modules in the present invention can also be referred to as units, which refer to a series of computer program segments that can be executed by a processor of an electronic device and can complete fixed functions, and are stored in the memory of the electronic device.

[0053] In the embodiments of the present invention, the functions of each module / unit are as follows: The system determination module 201 is used to determine the linkage data management system for the bonding wire process, wherein the linkage data management system includes a data collection device, a data analysis device, and a data integration device; The attribute recognition module 202 is used to query the process stage of the bonding wire process in the data collection device, 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 attribute of the resource supplier affecting the resource user through the process parameter items; The model determination module 203 is used to analyze the supply situation of the resource supplier in the data integration device, use the process parameter items and the supply situation to determine the supply-side game model of the resource supplier, analyze the usage situation of the resource user using the supplier attribute, and determine the usage-side game model of the resource user according to the usage situation; The speed initialization module 204 is used to initialize the user position and user speed of the usage-side game model in the data analysis device, optimize the supplier attribute using the user position and the user speed to obtain an optimized supply attribute, and initialize the supply-side position and supply-side speed between the supply-side game model and the optimized supply attribute; The integrated management module 205 is used to optimize the process parameter items using the supply-side position and the supply-side speed to obtain optimized process parameters, and perform linkage integrated management on the bonding wire process based on the optimized process parameters to obtain a linkage integrated management result.

[0054] Specifically, each module in the integrated system 200 for a linkage intelligent bonding wire process and data management in the embodiments of the present invention uses the same as the above-mentioned Figure 1The technical means of the linked intelligent key alloy wire process described in [reference] is the same as that of the data management integration method, and can produce the same technical effects, which will not be elaborated here.

[0055] For those skilled in the art, it is obvious that the present invention is not limited to the details of the above exemplary embodiments, and the present invention can be implemented in other specific forms without departing from the spirit or basic characteristics of the present invention.

[0056] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A linkage type intelligent gold wire bonding process and data management integration method, characterized in that: The method comprises: Determine a linkage data-control system for the gold wire bonding process, wherein the linkage data-control system includes a data collection device, a data analysis device, and a data integration device; In the data collection device, the process stage of the gold wire bonding process is queried, the 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 the resource user in the linkage relationship are obtained, and the supplier attributes of the resource supplier that affect the resource user are identified through the process parameter items; In the data integration device, the supply situation of the resource supplier is analyzed, the supplier game model of the resource supplier is determined by using the process parameter items and the supply situation, the use situation of the resource user is analyzed by using the supplier attributes, and the user game model of the resource user is determined according to the use situation; In the data analysis device, the user position and the user speed of the user game model are initialized, the supplier attributes are optimized by using the user position and the user speed to obtain optimized supply attributes, and the supplier position and the supplier speed between the supplier game model and the optimized supply attributes are initialized; The process parameter items are optimized using the supplier position and the supplier speed to obtain optimized process parameters, and 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 linkage-type intelligent gold wire bonding process and data management as claimed in claim 1, characterized in that: The method of using the process stage to identify the linkage relationship in the gold bonding wire 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 the 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 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.

3. The method for integrating linkage-type intelligent gold wire bonding process and data management as claimed in claim 1, characterized in that: The analyzing the supply situation of the resource supplier by using the process parameter item 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 according to the quality of the supplied items.

4. The method for integrating linkage-type intelligent gold wire bonding process and data management as claimed in claim 1, characterized in that: The supplier game model for determining the resource supplier by utilizing the supply situation includes: Determining a parameter operation strategy of the resource supplier according to the supply situation; Determine the objective function of the resource supplier based on the parameter operation strategy; Determining constraints of 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.

5. The method for integrating linked intelligent gold wire bonding process and data management as claimed in claim 1, characterized in that: The using of the supplier attributes to analyze the usage of the resource user includes: identifying a nonconforming amount in said supplier attribute; The difference between the supplier attribute and the unqualified amount is used as the usage of the resource user.

6. The method for integrating linkage-type intelligent gold wire bonding process and data management as claimed in claim 1, characterized in that: Determining the user game model of the resource user according to the usage situation includes: Determine the parameter operation mode of the resource user; Determining the 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 by the parameter operation mode, the usage target and the constraint information.

7. The method for integrating linked intelligent gold wire bonding process and data management as claimed in claim 1, characterized in that: The 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 user position, the vector relationship between the user position and other values ​​in the population is used as the user velocity.

8. The method for integrating linkage-type intelligent gold wire bonding process and data management as claimed in claim 1, characterized in that: The optimizing the usage situation by using the user position and the user speed to obtain the optimized situation includes: The user's position is used as the initial individual optimal position and the initial group optimal position respectively; Based on the initial individual optimal position, the initial group optimal position and the user speed, optimizing the user position 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 of the optimized position reaches a maximum number of iterations, the optimization status is determined.

9. The method for integrating linkage-type intelligent gold wire bonding process and data management as claimed in claim 1, characterized in that: The step of optimizing the process parameter items by using the supplier position and the supplier speed to obtain optimized process parameters includes: Constructing an optimization target between a supply-side game model and the optimization situation; The process parameter items are optimized using the optimization target to obtain optimized process parameters.

10. A linkage type intelligent gold wire bonding process and data management integrated system, characterized in that: The system comprises: A system determination module, used to 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; An attribute identification module is used to query the process stage of the gold wire bonding process in the data collection device, select the 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 the 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; A model determination module is used to analyze the supply situation of the resource supplier in the data integration device, determine the supplier game model of the resource supplier using the process parameter items and 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 according to the usage situation; A speed initialization module, used for initializing the user position and the user speed of the user game model in the data analysis device, optimizing the supplier attribute by using the user position and the user speed to obtain an optimized supply attribute, and initializing the supplier position and the supplier speed between the supplier game model and the optimized supply attribute; The integrated management module is used to optimize the process parameter items by 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.

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