Intelligent bonding copper wire production execution method and system with comprehensive linkage and data management

Abstract

The present invention relates to the field of industrial automation, and discloses a method for executing the production of intelligent bonding copper wires with comprehensive linkage and data management, including: establishing a copper wire production line for copper wires to be bonded, analyzing a value stream map of the copper wire production line, calculating the linkage coefficient of the copper wire production line according to the value stream map, and constructing a linkage network of the copper wire production line; defining the production key nodes and central nodes of the copper wire production line corresponding to the linkage network, training a production status recognition model for the production key nodes, extracting the copper wire production characteristics of the production key node data, and identifying the copper wire production status of the production key nodes using the production status recognition model; and using the copper wire production twin model to analyze the copper wire production loss of the copper wire production line, based on the copper wire production loss, constructing the production linkage optimization parameters of the copper wire production line using the comprehensive linkage network, and executing the intelligent production of the copper wire to be bonded through the production linkage optimization parameters. The present invention can improve the adaptive adjustment efficiency of the production process of the copper wire to be bonded.

Description

Technical Field

[0001] The invention relates to an intelligent copper bonding wire production execution method and system with comprehensive linkage and data management, belonging to the field of industrial automation. Background Art

[0002] The meaning of intelligent production execution of copper wire to be bonded with comprehensive linkage and data management is that in the process of producing copper wire to be bonded, an integrated linkage automation control system and data management technology are used to realize the intelligentization, high efficiency and high quality of the production process.

[0003] Traditional methods of executing the production of copper wire to be bonded usually rely on manual operation and discrete control systems, lacking intelligent means of comprehensive linkage and data management, resulting in low production efficiency, unstable quality, and difficulty in achieving real-time monitoring and adaptive adjustment of the production process of copper wire to be bonded. Summary of the invention

[0004] The present invention provides an intelligent bonding copper wire production execution method and system with comprehensive linkage and data management, the main purpose of which is to improve the adaptive adjustment efficiency of the production process of the copper wire to be bonded.

[0005] To achieve the above-mentioned purpose, the present invention provides an intelligent copper bonding wire production execution method with comprehensive linkage and data management, comprising:

[0006] Acquiring the characteristics of the copper wire to be bonded, wherein the characteristics of the copper wire to be bonded include appearance characteristics and functional characteristics, defining production indicators of the copper wire to be bonded based on the characteristics of the copper wire to be bonded, and constructing a production process flow of the copper wire to be bonded through the production indicators;

[0007] Based on the production process, configuring the production equipment of the copper wire to be bonded, establishing a copper wire production line of the copper wire to be bonded through the production equipment, analyzing the value stream map of the copper wire production line, and calculating the linkage coefficient of the copper wire production line according to the value stream map using a preset linkage analysis function, and when the linkage coefficient meets a preset linkage threshold, constructing a linkage network of the copper wire production line;

[0008] Define the key production nodes and central nodes of the copper wire production line corresponding to the linkage network, configure the monitoring industrial network of the key production nodes, train the production status recognition model of the key production nodes, deploy the production status recognition model to the key production nodes, obtain the model monitoring industrial network, integrate the model monitoring industrial network into the linkage network, and obtain the comprehensive linkage network;

[0009] Based on the comprehensive linkage network, the key production node data of the key production node is collected, the copper wire production characteristics of the key production node data are extracted, and according to the copper wire production characteristics, the copper wire production status of the key production node is identified by using the production status identification model;

[0010] The copper wire production status is input into the copper wire production twin model trained at the corresponding central node of the comprehensive linkage network, and the copper wire production twin model is used to analyze the copper wire production loss of the copper wire production line. Based on the copper wire production loss, the comprehensive linkage network is used to construct the production linkage optimization parameters of the copper wire production line, and the intelligent production of the copper wire to be bonded is performed through the production linkage optimization parameters.

[0011] Optionally, defining the production index of the copper wire to be bonded based on the characteristics of the copper wire to be bonded includes:

[0012] Analyzing the influence of the characteristics of the copper wire to be bonded on the quality of the copper wire to be bonded;

[0013] Determining a characteristic weight of the characteristic of the copper wire to be bonded according to the quality influence relationship;

[0014] Based on the characteristic weights, key characteristics of the copper wire to be bonded are screened, and the key characteristics are prioritized to obtain a characteristic priority sequence;

[0015] identifying a characteristic correlation coefficient of the key characteristic;

[0016] Define initial production targets for said key characteristics;

[0017] The initial production index is optimized by the characteristic correlation coefficient and the characteristic priority sequence to obtain the optimized production index of the copper wire to be bonded;

[0018] Performing simulation production on the optimized production index to obtain simulation production data;

[0019] Analyzing the characteristic integrity coefficient of the copper wire to be bonded by using the simulation production data;

[0020] When the characteristic integrity coefficient meets the preset characteristic integrity threshold, the optimized production index is used as the production index of the copper wire to be bonded.

[0021] Optionally, the optimizing the initial production index by the characteristic correlation coefficient and the characteristic priority sequence to obtain the optimized production index of the copper wire to be bonded includes:

[0022] According to the characteristic priority sequence, constructing a characteristic value-production index set of the copper wire to be bonded;

[0023] Establishing a fitting response surface model of the copper wire to be bonded by using the characteristic value-production index set;

[0024] Calculating the goodness of fit of the fitted response surface model;

[0025] When the goodness of fit and the characteristic correlation coefficient are used, the model coefficient of the fitted response surface model is optimized to obtain an optimized fitted response surface model;

[0026] The optimal parameters of the optimized fitting response surface model are calculated using a preset optimal function:

[0027] ;

[0028] in, represents the optimal parameters for optimizing the response surface model. represents the optimal function for optimizing the fitting response surface model, Indicates the optimal fitting response surface model in The production index input value at the moment, Indicates the optimal fitting response surface model in The copper wire characteristic output value at the moment, represents the initial time for analyzing and optimizing the optimal parameters of the response surface model. Indicates the end time of analyzing and optimizing the optimal parameters of the response surface model. Indicates time, represents the minimization function;

[0029] According to the optimal parameters, the optimized production index of the copper wire to be bonded is determined.

[0030] Optionally, establishing a copper wire production line for the copper wire to be bonded by using the production equipment comprises:

[0031] Identify equipment functions and equipment relevance of the production equipment;

[0032] Marking a production equipment label of the production equipment according to the function of the equipment, the relevance of the equipment, and the production process of the copper wire to be bonded;

[0033] Connecting the production equipment through the production equipment tag to obtain an initial copper wire production line;

[0034] defining equipment constraints of the production equipment;

[0035] Based on the equipment constraint conditions and the corresponding production indicators of the copper wire to be bonded, defining production line production parameters of the initial copper wire production line;

[0036] The copper wire production line of the copper wire to be bonded is determined according to the production parameters of the production line.

[0037] Optionally, analyzing the value stream map of the copper wire production line includes:

[0038] Simulating the copper wire production of the copper wire production line to obtain simulated copper wire production data;

[0039] Defining the value standard symbol of the copper wire production line;

[0040] Based on the simulated copper wire production data, a flow chart of the copper wire production line is drawn using the value standard symbol;

[0041] Marking the process time and waste set of the copper wire production line;

[0042] Based on the waste set, defining a waste state of the flow chart;

[0043] The process time and the waste status are integrated into the flow chart to obtain a value stream chart of the copper wire production line.

[0044] Optionally, the step of calculating the linkage coefficient of the copper wire production line according to the value stream map using a preset linkage analysis function includes:

[0045] Defining linkage analysis parameters of the linkage analysis function according to the value stream map, wherein the linkage analysis parameters include equipment efficiency, product quality coefficient, logistics efficiency, total value time and total cycle time;

[0046] Based on the linkage analysis parameters, the linkage coefficient of the copper wire production line is calculated using a linkage analysis function, wherein the linkage analysis function is:

[0047] ;

[0048] in, Represents the linkage coefficient of the copper wire production line, Indicates the copper wire production line Step value time, Indicates the copper wire production line Steps are non-value time, Represents the total value time of the copper wire production line, Represents the total cycle time of the copper wire production line, Indicates the equipment efficiency of the copper wire production line, Indicates the product quality coefficient of the copper wire production line, Indicates the logistics efficiency of the copper wire production line, Indicates the copper wire production line production steps, Indicates the number of corresponding production steps of the copper wire production line.

[0049] Optionally, when the linkage coefficient meets a preset linkage threshold, constructing a linkage network of the copper wire production line includes:

[0050] When the linkage coefficient meets the preset linkage threshold, determining the linkage factor of the copper wire production line;

[0051] According to the linkage factors, analyzing the linkage hierarchical structure of the copper wire production line, wherein the linkage hierarchical structure includes an equipment layer, a control layer, and a management layer;

[0052] constructing an actuator of the device layer;

[0053] Configure a PLC controller of the control layer;

[0054] Establishing the MES decision-making module of the management level;

[0055] A network protocol defining the linkage hierarchy;

[0056] Based on the linkage hierarchical structure, the actuator, the PLC controller, the MES decision module and the network protocol, a linkage network of the copper wire production line is constructed.

[0057] Optionally, the PLC controller configuring the control layer includes:

[0058] defining control parameters of the control layer;

[0059] According to the control parameters, the start / stop logic, safety logic and PID control algorithm of the control layer are defined, wherein the safety logic:

[0060] ;

[0061] in, Indicates a safety trigger signal. Indicates that the control parameter corresponds to the first danger signal, Indicates that the control parameter corresponds to the second danger signal, Indicates that the control parameter corresponds to the safety bypass signal. Indicates logical NOT, Indicates the first danger signal or the second danger signal, Indicates safety bypass signal;

[0062] The PLC controller of the control layer is constructed according to the start-stop logic, safety logic and PID control algorithm.

[0063] Optionally, analyzing the copper wire production loss of the copper wire production line by using the copper wire production twin model includes:

[0064] defining a loss factor of the copper wire production line;

[0065] Identify the state characteristics of the copper wire production line corresponding to the copper wire production state;

[0066] Based on the loss cause and the state characteristics, using the copper wire production twin model to analyze the potential state of copper wire production of the copper wire production line;

[0067] Identify a state anomaly of a potential state of production of the copper wire;

[0068] Defining anomaly weights of the state anomalies;

[0069] Based on the state abnormality and the abnormality weight, the copper wire production loss of the copper wire production line is determined.

[0070] In order to solve the above problems, the present invention also provides an intelligent copper bonding wire production execution system with comprehensive linkage and data management, the system comprising:

[0071] A production process analysis module, used for obtaining the characteristics of the copper wire to be bonded, wherein the characteristics of the copper wire to be bonded include appearance characteristics and functional characteristics, defining production indicators of the copper wire to be bonded based on the characteristics of the copper wire to be bonded, and constructing the production process of the copper wire to be bonded through the production indicators;

[0072] A linkage network construction module, configured to configure the production equipment of the copper wire to be bonded based on the production process, establish a copper wire production line of the copper wire to be bonded through the production equipment, analyze the value stream map of the copper wire production line, calculate the linkage coefficient of the copper wire production line according to the value stream map using a preset linkage analysis function, and construct a linkage network of the copper wire production line when the linkage coefficient meets a preset linkage threshold;

[0073] A comprehensive linkage network construction module is used to define the key production nodes and central nodes of the copper wire production line corresponding to the linkage network, configure the monitoring industrial network of the key production nodes, train the production status recognition model of the key production nodes, deploy the production status recognition model to the key production nodes, obtain the model monitoring industrial network, integrate the model monitoring industrial network into the linkage network, and obtain the comprehensive linkage network;

[0074] A copper wire production status analysis module, used to collect the key production node data of the key production node based on the comprehensive linkage network, extract the copper wire production characteristics of the key production node data, and identify the copper wire production status of the key production node using the production status identification model according to the copper wire production characteristics;

[0075] The copper wire intelligent production module is used to input the copper wire production status into the copper wire production twin model trained at the corresponding central node of the comprehensive linkage network, and use the copper wire production twin model to analyze the copper wire production loss of the copper wire production line. Based on the copper wire production loss, the comprehensive linkage network is used to construct the production linkage optimization parameters of the copper wire production line, and the intelligent production of the copper wire to be bonded is performed through the production linkage optimization parameters.

[0076] In order to solve the above problem, the present invention further provides an electronic device, the electronic device comprising:

[0077] at least one processor; and,

[0078] a memory communicatively connected to the at least one processor; wherein,

[0079] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to implement the above-mentioned intelligent bonding copper wire production execution method with comprehensive linkage and data management.

[0080] In order to solve the above problems, the present invention also provides a computer-readable storage medium, in which at least one instruction is stored. The at least one instruction is executed by a processor in an electronic device to implement the above-mentioned intelligent bonding copper wire production execution method with comprehensive linkage and data management.

[0081] Compared with the problems described in the background technology, the present invention defines the production indicators of the copper wire to be bonded based on the characteristics of the copper wire to be bonded, which can ensure the scientificity and practicality of the production indicators, thereby guiding the production process and ensuring the product quality of the copper wire to be bonded; the present invention constructs the production process of the copper wire to be bonded through the production indicators to construct a production process of the copper wire to be bonded that meets the production indicators, thereby improving the controllability of the production process and the stability of product quality; further, the present invention establishes a copper wire production line for the copper wire to be bonded through the production equipment to establish an efficient and stable copper wire production line to be bonded, further, the present invention analyzes the value stream map of the copper wire production line to provide data basis for subsequent linkage analysis and optimization, further, the present invention calculates the linkage coefficient of the copper wire production line according to the value stream map using a preset linkage analysis function, which can provide a basis for the linkage optimization of the copper wire production line in the later stage, thereby improving the reliability of copper wire production, further, when the linkage coefficient meets the preset linkage threshold, the present invention constructs a linkage network of the copper wire production line to achieve more intelligent, automated and efficient production, Thereby improving product quality, next, the present invention configures the monitoring industrial network of the key production nodes to realize all-round monitoring of the copper wire production line and improve the efficiency of copper wire production. The present invention integrates the model monitoring industrial network into the linkage network to obtain a comprehensive linkage network that can monitor the key parameters in the production process in real time, find abnormalities in time and respond. Further, the present invention collects the production key node data of the key production nodes based on the comprehensive linkage network, extracts the copper wire production characteristics of the production key node data, and can use the production characteristics of the copper wire to identify the abnormality of the state of the copper wire production process, thereby improving the production quality of the copper wire. Finally, the present invention inputs the copper wire production state into the copper wire production twin model trained by the corresponding central node of the comprehensive linkage network, and uses the copper wire production twin model to analyze the copper wire production loss of the copper wire production line. It can effectively analyze the production loss of the copper wire production line, and provide data support for improving the production process. Based on the copper wire production loss, the production linkage optimization parameters of the copper wire production line are constructed by the comprehensive linkage network to realize the efficient and high-quality production of the copper wire to be bonded. Therefore, the present invention can improve the adaptive adjustment efficiency of the production process of the copper wire to be bonded. BRIEF DESCRIPTION OF THE DRAWINGS

[0082] Figure 1 A schematic diagram of a process flow of an intelligent copper bonding wire production execution method with comprehensive linkage and data management provided by an embodiment of the present invention;

[0083] Figure 2 A functional module diagram of an intelligent copper bonding wire production execution system with comprehensive linkage and data management provided by an embodiment of the present invention;

[0084] Figure 3 A schematic diagram of the structure of an electronic device of an intelligent copper bonding wire production execution system with comprehensive linkage and data management provided by an embodiment of the present invention;

[0085] The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings in conjunction with the embodiments. DETAILED DESCRIPTION

[0086] 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.

[0087] The embodiment of the present application provides an intelligent copper wire bonding production execution method with comprehensive linkage and data management. The execution subject of the intelligent copper wire bonding production execution method with comprehensive linkage and data management 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 intelligent copper wire bonding production execution method with comprehensive linkage 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.

[0088] Embodiment 1:

[0089] Reference Figure 1 FIG. 1 is a flow chart of a method for executing the production of intelligent copper bonding wires with comprehensive linkage and data management provided by an embodiment of the present invention. In this embodiment, the method for executing the production of intelligent copper bonding wires with comprehensive linkage and data management includes:

[0090] S1. Obtaining characteristics of the copper wire to be bonded, wherein the characteristics of the copper wire to be bonded include appearance characteristics and functional characteristics, defining production indicators of the copper wire to be bonded based on the characteristics of the copper wire to be bonded, and constructing a production process flow of the copper wire to be bonded through the production indicators.

[0091] It should be explained that the appearance characteristics include shape and size, surface quality, color and gloss, and the functional characteristics refer to the functional characteristics of the copper wire to be bonded, including mechanical properties, electrical properties, thermal properties and other properties.

[0092] The present invention defines production indicators of the copper wire to be bonded based on the characteristics of the copper wire to be bonded, which can ensure the scientificity and practicality of the production indicators, thereby guiding the production process and ensuring the product quality of the copper wire to be bonded.

[0093] In detail, the production index of the copper wire to be bonded is defined based on the characteristics of the copper wire to be bonded, including:

[0094] Analyzing the influence of the characteristics of the copper wire to be bonded on the quality of the copper wire to be bonded;

[0095] Determining a characteristic weight of the characteristic of the copper wire to be bonded according to the quality influence relationship;

[0096] Based on the characteristic weights, key characteristics of the copper wire to be bonded are screened, and the key characteristics are prioritized to obtain a characteristic priority sequence;

[0097] identifying a characteristic correlation coefficient of the key characteristic;

[0098] Define initial production targets for said key characteristics;

[0099] The initial production index is optimized by the characteristic correlation coefficient and the characteristic priority sequence to obtain the optimized production index of the copper wire to be bonded;

[0100] Performing simulation production on the optimized production index to obtain simulation production data;

[0101] Analyzing the characteristic integrity coefficient of the copper wire to be bonded by using the simulation production data;

[0102] When the characteristic integrity coefficient meets the preset characteristic integrity threshold, the optimized production index is used as the production index of the copper wire to be bonded.

[0103] Among them, the quality influencing relationship refers to the influence of various characteristics of the copper wire to be bonded (such as appearance characteristics and functional characteristics) on the quality of the final product, the characteristic weight refers to the relative importance value assigned to each characteristic, the key characteristics refer to those characteristics that have the greatest impact on product quality among all characteristics, the characteristic priority sequence refers to a sequence formed by sorting the key characteristics according to the characteristic weights, the characteristic correlation coefficient refers to a value that measures the degree of influence of a characteristic change on other characteristics or product quality, the initial production index refers to the production standard set based on preliminary analysis, the optimized production index refers to the production standard obtained after adjusting and optimizing the initial production index, the simulated production data refers to the data obtained by simulating the production process, the characteristic integrity coefficient refers to an indicator that measures the degree of compliance of the characteristics of the produced copper wire with the preset production indicators, the characteristic integrity threshold refers to the minimum acceptance level of the preset characteristic integrity coefficient, and the production indicator refers to a series of specific values ​​and standards used to guide the production process and ensure product quality.

[0104] Further, the initial production index is optimized by the characteristic correlation coefficient and the characteristic priority sequence to obtain the optimized production index of the copper wire to be bonded, including:

[0105] According to the characteristic priority sequence, constructing a characteristic value-production index set of the copper wire to be bonded;

[0106] Establishing a fitting response surface model of the copper wire to be bonded by using the characteristic value-production index set;

[0107] Calculating the goodness of fit of the fitted response surface model;

[0108] When the goodness of fit and the characteristic correlation coefficient are used, the model coefficient of the fitted response surface model is optimized to obtain an optimized fitted response surface model;

[0109] The optimal parameters of the optimized fitting response surface model are calculated using a preset optimal function:

[0110] ;

[0111] in, represents the optimal parameters for optimizing the response surface model. represents the optimal function for optimizing the fitting response surface model, Indicates the optimal fitting response surface model in The production index input value at the moment, Indicates the optimal fitting response surface model in The copper wire characteristic output value at the moment, represents the initial time for analyzing and optimizing the optimal parameters of the response surface model. Indicates the end time of analyzing and optimizing the optimal parameters of the response surface model. Indicates time, represents the minimization function;

[0112] According to the optimal parameters, the optimized production index of the copper wire to be bonded is determined.

[0113] Among them, the characteristic value-production index set refers to a data set associated with each characteristic value and its corresponding production index. It maps the specific index requirements of different characteristic values ​​for the production process, the fitting response surface model refers to a model used to simulate the relationship between characteristic values ​​and production indicators, the goodness of fit refers to a statistic that measures the degree of fit between the model prediction value and the actual observation value, the optimized fitting response surface model refers to a fitting response surface model after parameter adjustment, the optimal function refers to a function used to evaluate and select optimal parameters, usually an objective function, the optimal parameter refers to the parameter value that achieves the best performance in the optimal function, the production index input value refers to the production index value used to predict the copper wire characteristic output value in the fitting response surface model, the copper wire characteristic output value refers to the copper wire characteristic value predicted by the fitting response surface model according to the production index input value, the initial time refers to the time point when the optimal parameter analysis starts in the optimization process, the end time refers to the time point when the optimal parameter analysis ends in the optimization process, and the minimization function refers to an optimal function, the purpose of which is to find a parameter combination that minimizes the function value.

[0114] The present invention constructs the production process flow of the copper wire to be bonded by the production index to construct a production process flow of the copper wire to be bonded that meets the production index, thereby improving the controllability of the production process and the stability of product quality. The production process flow refers to a series of orderly processing steps for converting raw materials into finished copper wire.

[0115] S2. Based on the production process, configure the production equipment of the copper wire to be bonded, establish a copper wire production line for the copper wire to be bonded through the production equipment, analyze the value stream map of the copper wire production line, and calculate the linkage coefficient of the copper wire production line according to the value stream map using a preset linkage analysis function. When the linkage coefficient meets a preset linkage threshold, construct a linkage network for the copper wire production line.

[0116] It should be explained that the production equipment refers to a complete set of mechanical equipment and auxiliary facilities used to produce the copper wire to be bonded.

[0117] The present invention establishes a copper wire production line for the copper wires to be bonded by using the production equipment to establish an efficient and stable copper wire production line for the copper wires to be bonded.

[0118] In detail, the copper wire production line for the copper wire to be bonded is established by the production equipment, comprising:

[0119] Identify equipment functions and equipment relevance of the production equipment;

[0120] Marking a production equipment label of the production equipment according to the function of the equipment, the relevance of the equipment, and the production process of the copper wire to be bonded;

[0121] Connecting the production equipment through the production equipment tag to obtain an initial copper wire production line;

[0122] defining equipment constraints of the production equipment;

[0123] Based on the equipment constraint conditions and the corresponding production indicators of the copper wire to be bonded, defining production line production parameters of the initial copper wire production line;

[0124] The copper wire production line of the copper wire to be bonded is determined according to the production parameters of the production line.

[0125] Among them, the equipment function refers to the specific tasks and roles undertaken by each production equipment in the copper wire production process, the equipment association refers to the description of the mutual relationship and dependency between different equipment, the production equipment label refers to the name or code for identifying each equipment, which is used to distinguish different equipment and facilitate rapid identification in production management and operation, the initial copper wire production line refers to the production line formed after the production equipment is initially connected according to the process flow, and the equipment constraint refers to the restriction that the equipment must comply with during operation, including restrictions on operating parameters, safety standards, maintenance requirements, etc. For example, the maximum drawing speed of the wire drawing machine or the maximum temperature of the annealing furnace, the production line production parameters refer to the production line operating parameters set to achieve the production target, including but not limited to production speed, temperature, pressure, material flow and other parameters, and the copper wire production line refers to a complete production line that has been carefully designed and optimized and can stably and efficiently produce qualified copper wires to be bonded.

[0126] The present invention analyzes the value stream map of the copper wire production line and can provide data basis for subsequent linkage analysis and optimization.

[0127] In detail, the analysis of the value stream map of the copper wire production line includes:

[0128] Simulating the copper wire production of the copper wire production line to obtain simulated copper wire production data;

[0129] Defining the value standard symbol of the copper wire production line;

[0130] Based on the simulated copper wire production data, a flow chart of the copper wire production line is drawn using the value standard symbol;

[0131] Marking the process time and waste set of the copper wire production line;

[0132] Based on the waste set, defining a waste state of the flow chart;

[0133] The process time and the waste status are integrated into the flow chart to obtain a value stream chart of the copper wire production line.

[0134] The simulated copper wire production data refers to the data obtained by simulating the copper wire production process, and the value standard symbol refers to the standard graphic symbol used to represent different types of production activities and process states in the value stream map. For example, arrows are used to represent the flow direction of materials, boxes are used to represent production steps, circles are used to represent inventory points, and diamonds are used to represent decision points or checkpoints. The flowchart refers to a chart that uses value standard symbols to show the flow of materials, information transfer, and production activities in the copper wire production process. The process time refers to the time required for each production step marked in the flowchart, including actual operation time and non-value-added time (such as waiting, moving, and inspection time). The waste set refers to the collection of all waste links identified and marked in the flowchart. Waste may include waste such as overproduction, waiting time, unnecessary transportation, overprocessing, and excessive inventory. The waste state refers to the specific state of each waste link in the flowchart defined based on the waste set. The value stream map refers to a chart that combines the flowchart, process time, and waste state together to analyze and optimize the production process.

[0135] Optionally, the process time and the waste status are integrated into the flow chart to obtain a value stream map of the copper wire production line, which can be drawn using a LeanKit tool.

[0136] According to the value stream map, the present invention calculates the linkage coefficient of the copper wire production line using a preset linkage analysis function, which can provide a basis for the linkage optimization of the copper wire production line in the later stage, thereby improving the reliability of copper wire production.

[0137] In detail, the linkage coefficient of the copper wire production line is calculated according to the value stream map using a preset linkage analysis function, including:

[0138] Defining linkage analysis parameters of the linkage analysis function according to the value stream map, wherein the linkage analysis parameters include equipment efficiency, product quality coefficient, logistics efficiency, total value time and total cycle time;

[0139] Based on the linkage analysis parameters, the linkage coefficient of the copper wire production line is calculated using a linkage analysis function, wherein the linkage analysis function is:

[0140] ;

[0141] in, Represents the linkage coefficient of the copper wire production line, Indicates the copper wire production line Step value time, Indicates the copper wire production line Steps are non-value time, Represents the total value time of the copper wire production line, Represents the total cycle time of the copper wire production line, Indicates the equipment efficiency of the copper wire production line, Indicates the product quality coefficient of the copper wire production line, Indicates the logistics efficiency of the copper wire production line, Indicates the copper wire production line production steps, Indicates the number of corresponding production steps of the copper wire production line.

[0142] Among them, the linkage coefficient refers to an indicator for measuring the overall linkage production efficiency of the copper wire production line, the linkage analysis function refers to the function used to calculate the linkage coefficient of the copper wire production line, the equipment efficiency refers to the parameter for measuring the efficiency of each device or workstation on the production line, the product quality coefficient, the logistics efficiency refers to the parameter for measuring the flow efficiency of materials on the production line, including the efficiency of material transportation, storage and distribution, the total value time refers to the total time of all value creation activities on the production line, the total cycle time refers to the total time required to complete a complete production cycle, the step non-value time refers to the time required for activities that do not directly create value in each step on the production line, such as waiting, checking, and handling, and the step value time refers to the time required for activities that directly create value in each step on the production line, such as actual processing, assembly and other parameters.

[0143] Optionally, the equipment efficiency may be analyzed by the ratio of the actual working time of the equipment to the available time over a period of time.

[0144] Optionally, the product quality coefficient can be detected by a quality meter and is a value between 0 and 1, wherein 1 indicates that all products are qualified, and 0 indicates that all products are unqualified.

[0145] In the present invention, when the linkage coefficient meets the preset linkage threshold, constructing a linkage network of the copper wire production line can achieve more intelligent, automated and efficient production, thereby improving product quality.

[0146] In detail, when the linkage coefficient meets the preset linkage threshold, the linkage network of the copper wire production line is constructed, including:

[0147] When the linkage coefficient meets the preset linkage threshold, determining the linkage factor of the copper wire production line;

[0148] According to the linkage factors, analyzing the linkage hierarchical structure of the copper wire production line, wherein the linkage hierarchical structure includes an equipment layer, a control layer, and a management layer;

[0149] constructing an actuator of the device layer;

[0150] Configure a PLC controller of the control layer;

[0151] Establishing the MES decision-making module of the management level;

[0152] A network protocol defining the linkage hierarchy;

[0153] Based on the linkage hierarchical structure, the actuator, the PLC controller, the MES decision module and the network protocol, a linkage network of the copper wire production line is constructed.

[0154] Among them, the linkage threshold refers to a parameter used to determine whether the linkage coefficient has reached the level at which a linkage network can be constructed; the linkage factor refers to the key variables and conditions that affect the linkage coefficient, such as equipment efficiency, employee skills, material supply, production plan, etc.; the equipment layer refers to the bottom layer of the production line, including all physical equipment and sensors, responsible for direct production operations and data collection; the control layer refers to a layer located above the equipment layer, responsible for receiving data from the equipment layer, performing real-time control and monitoring, and sending instructions to the equipment layer; the management layer refers to a layer located above the control layer, responsible for advanced functions such as production management, decision support, and data analysis; the actuator refers to an actuator used to perform physical actions on the equipment layer according to instructions from the control layer, such as instructions such as starting / stopping a machine and adjusting equipment parameters; the PLC controller refers to an electronic device used for automated control; the MES decision module refers to a part of the manufacturing execution system, a module used to manage, monitor, and synchronize the actual production process with the production plan; the network protocol refers to a rule that defines the format and communication method of data transmission in the network; and the linkage network refers to a network that connects the equipment layer, the control layer, and the management layer through actuators, PLC controllers, MES decision modules, and network protocols to achieve efficient production management and control.

[0155] Optionally, the PLC controller configuring the control layer may be implemented by Siemens STEP 7 software.

[0156] Furthermore, the PLC controller configuring the control layer includes:

[0157] defining control parameters of the control layer;

[0158] According to the control parameters, the start / stop logic, safety logic and PID control algorithm of the control layer are defined, wherein the safety logic:

[0159] ;

[0160] in, Indicates a safety trigger signal. Indicates that the control parameter corresponds to the first danger signal, Indicates that the control parameter corresponds to the second danger signal, Indicates that the control parameter corresponds to the safety bypass signal. Indicates logical NOT, Indicates the first danger signal or the second danger signal, Indicates safety bypass signal;

[0161] The PLC controller of the control layer is constructed according to the start-stop logic, safety logic and PID control algorithm.

[0162] Among them, the control parameters refer to variables used to guide and optimize the control process, which may include process parameters such as temperature, pressure, speed, flow, etc. The start-stop logic refers to the rules and conditions used to control the start and stop of the equipment, the safety logic refers to the rules and conditions used to ensure that the equipment operates under safe conditions, the PID control algorithm, the first danger signal refers to a signal triggered by a control parameter, indicating that there is a first potential dangerous situation, the second danger signal refers to a signal triggered by another control parameter, indicating that there is a second potential dangerous situation, the safety trigger signal indicates that a potential dangerous condition is detected, the safety bypass signal refers to a signal that the safety system can be bypassed, and the logical NOT is a logical operator used to invert the value of a signal (if the signal is 1, it becomes 0; if the signal is 0, it becomes 1).

[0163] S3. Define the key production nodes and central nodes of the copper wire production line corresponding to the linkage network, configure the monitoring industrial network of the key production nodes, train the production status recognition model of the key production nodes, deploy the production status recognition model to the key production nodes, obtain the model monitoring industrial network, integrate the model monitoring industrial network into the linkage network, and obtain a comprehensive linkage network.

[0164] It should be explained that the key production node refers to the node that needs to be monitored on the copper wire production line, and the central node refers to the node used to collect monitoring data from the key production nodes for analysis and decision-making, and is located in the management level of the copper wire production line.

[0165] The present invention configures the monitoring industrial network of the key production nodes to realize all-round monitoring of the copper wire production line and improve the efficiency of copper wire production. In detail, the monitoring industrial network refers to configuring corresponding monitoring equipment in the key production nodes, and networking the monitoring equipment to realize the construction of the monitoring industrial network. Among them, the monitoring equipment includes temperature sensors, pressure sensors and other equipment.

[0166] It should be noted that the production status identification model refers to a model used to analyze the production status corresponding to the key production nodes. It can be trained using historical copper wire production data. Through multiple production status identification models, rapid identification of production data can be achieved, thereby improving the detection efficiency of copper wire production.

[0167] The model monitoring industrial network refers to a network obtained by deploying the production status recognition model to key production nodes and combining it with the monitoring industrial network.

[0168] The present invention integrates the model monitoring industrial network into the linkage network, and obtains a comprehensive linkage network that can monitor key parameters in the production process in real time, detect abnormalities in time and respond. The comprehensive linkage network refers to a linkage network that integrates model monitoring capabilities, which not only includes traditional equipment control layers and management layers, but also adds data analysis and model prediction functions.

[0169] S4. Collect the key production node data of the key production node based on the comprehensive linkage network, extract the copper wire production characteristics of the key production node data, and identify the copper wire production status of the key production node using the production status identification model according to the copper wire production characteristics.

[0170] The present invention collects the production key node data of the production key nodes based on the comprehensive linkage network, and extracts the copper wire production characteristics of the production key node data, and can use the production characteristics of the copper wire to identify the abnormal state of the copper wire production process, thereby improving the production quality of the copper wire. Among them, the production key node data refers to the data collected from specific links (i.e., key nodes) that have a significant impact on the production results during the copper wire production process, such as equipment operation status, product quality parameters, production efficiency indicators and other data, and the copper wire production characteristics refer to information or indicators extracted from the production key node data that can represent the characteristics of the copper wire production process, such as statistical characteristics, trend characteristics, abnormal characteristics, performance indicators and other characteristics.

[0171] Optionally, the present invention can effectively monitor the copper wire production process and timely identify the status of the key production nodes by using the production status recognition model according to the copper wire production characteristics, thereby helping production managers make quick decisions and ensuring the stability and efficiency of the production process. The copper wire production status includes normal, warning, fault and other states.

[0172] S5. Input the copper wire production status into the copper wire production twin model trained at the corresponding central node of the comprehensive linkage network, and use the copper wire production twin model to analyze the copper wire production loss of the copper wire production line. Based on the copper wire production loss, use the comprehensive linkage network to construct the production linkage optimization parameters of the copper wire production line, and execute the intelligent production of the copper wire to be bonded through the production linkage optimization parameters.

[0173] The present invention inputs the copper wire production status into the copper wire production twin model trained at the corresponding central node of the comprehensive linkage network, and uses the copper wire production twin model to analyze the copper wire production loss of the copper wire production line, which can effectively analyze the production loss of the copper wire production line and provide data support for improving the production process.

[0174] In detail, the analyzing the copper wire production loss of the copper wire production line by using the copper wire production twin model includes:

[0175] defining a loss factor of the copper wire production line;

[0176] Identify the state characteristics of the copper wire production line corresponding to the copper wire production state;

[0177] Based on the loss cause and the state characteristics, using the copper wire production twin model to analyze the potential state of copper wire production of the copper wire production line;

[0178] Identify a state anomaly of a potential state of production of the copper wire;

[0179] Defining anomaly weights of the state anomalies;

[0180] Based on the state abnormality and the abnormality weight, the copper wire production loss of the copper wire production line is determined.

[0181] Among them, the loss factor refers to the various factors affecting the efficiency and production quality of the copper wire production line, the state characteristic refers to the parameters or indicators that describe the operating status of the copper wire production line at a specific moment, the potential state of copper wire production refers to the future state that the production line may reach predicted by the copper wire production twin model, the copper wire production twin model refers to a digital simulation model that reflects the physical state and behavior of the actual copper wire production line, the state abnormality refers to the state characteristics that deviate from the normal operating range that occur during the copper wire production process, the abnormality weight refers to the relative importance assigned to each state abnormality, and the copper wire production loss refers to the difference between the actual production output and the ideal output due to various factors.

[0182] Optionally, the state anomaly for identifying the potential state of the copper wire production is detected by an Isolation Forest anomaly detection algorithm.

[0183] Finally, based on the copper wire production loss, the present invention utilizes the comprehensive linkage network to construct the production linkage optimization parameters of the copper wire production line to achieve efficient and high-quality production of the copper wire to be bonded.

[0184] Compared with the problems described in the background technology, the present invention defines the production indicators of the copper wire to be bonded based on the characteristics of the copper wire to be bonded, which can ensure the scientificity and practicality of the production indicators, thereby guiding the production process and ensuring the product quality of the copper wire to be bonded; the present invention constructs the production process of the copper wire to be bonded through the production indicators to construct a production process of the copper wire to be bonded that meets the production indicators, thereby improving the controllability of the production process and the stability of product quality; further, the present invention establishes a copper wire production line for the copper wire to be bonded through the production equipment to establish an efficient and stable copper wire production line to be bonded, further, the present invention analyzes the value stream map of the copper wire production line to provide data basis for subsequent linkage analysis and optimization, further, the present invention calculates the linkage coefficient of the copper wire production line according to the value stream map using a preset linkage analysis function, which can provide a basis for the linkage optimization of the copper wire production line in the later stage, thereby improving the reliability of copper wire production, further, when the linkage coefficient meets the preset linkage threshold, the present invention constructs a linkage network of the copper wire production line to achieve more intelligent, automated and efficient production, Thereby improving product quality, next, the present invention configures the monitoring industrial network of the key production nodes to realize all-round monitoring of the copper wire production line and improve the efficiency of copper wire production. The present invention integrates the model monitoring industrial network into the linkage network to obtain a comprehensive linkage network that can monitor the key parameters in the production process in real time, find abnormalities in time and respond. Further, the present invention collects the production key node data of the key production nodes based on the comprehensive linkage network, extracts the copper wire production characteristics of the production key node data, and can use the production characteristics of the copper wire to identify the abnormality of the state of the copper wire production process, thereby improving the production quality of the copper wire. Finally, the present invention inputs the copper wire production state into the copper wire production twin model trained by the corresponding central node of the comprehensive linkage network, and uses the copper wire production twin model to analyze the copper wire production loss of the copper wire production line. It can effectively analyze the production loss of the copper wire production line, and provide data support for improving the production process. Based on the copper wire production loss, the production linkage optimization parameters of the copper wire production line are constructed by the comprehensive linkage network to realize the efficient and high-quality production of the copper wire to be bonded. Therefore, the present invention can improve the adaptive adjustment efficiency of the production process of the copper wire to be bonded.

[0185] Embodiment 2:

[0186] like Figure 2 , which is a functional module diagram of an intelligent copper bonding wire production execution system with comprehensive linkage and data management provided by an embodiment of the present invention.

[0187] The intelligent copper wire bonding production execution system 200 with comprehensive linkage and data management of the present invention can be installed in an electronic device. According to the functions implemented, the intelligent copper wire bonding production execution system 200 with comprehensive linkage and data management can include a production process analysis module 201, a linkage network construction module 202, a comprehensive linkage network construction module 203, a copper wire production status analysis module 204 and a copper wire intelligent production module 205. The module of the present invention can also be called a unit, which refers to a series of computer program segments that can be executed by an electronic device processor and can complete fixed functions, which are stored in the memory of the electronic device.

[0188] In this embodiment, the functions of each module / unit are as follows:

[0189] The production process analysis module 201 is used to obtain the characteristics of the copper wire to be bonded, wherein the characteristics of the copper wire to be bonded include appearance characteristics and functional characteristics, and based on the characteristics of the copper wire to be bonded, define the production index of the copper wire to be bonded, and construct the production process of the copper wire to be bonded through the production index;

[0190] The linkage network construction module 202 is used to configure the production equipment of the copper wire to be bonded based on the production process flow, establish the copper wire production line of the copper wire to be bonded through the production equipment, analyze the value stream map of the copper wire production line, calculate the linkage coefficient of the copper wire production line according to the value stream map using a preset linkage analysis function, and when the linkage coefficient meets a preset linkage threshold, construct a linkage network of the copper wire production line;

[0191] The comprehensive linkage network construction module 203 is used to define the key production nodes and central nodes of the copper wire production line corresponding to the linkage network, configure the monitoring industrial network of the key production nodes, train the production status recognition model of the key production nodes, deploy the production status recognition model to the key production nodes, obtain the model monitoring industrial network, integrate the model monitoring industrial network into the linkage network, and obtain the comprehensive linkage network;

[0192] The copper wire production status analysis module 204 is used to collect the production key node data of the production key node based on the comprehensive linkage network, extract the copper wire production characteristics of the production key node data, and identify the copper wire production status of the production key node using the production status recognition model according to the copper wire production characteristics;

[0193] The copper wire intelligent production module 205 is used to input the copper wire production status into the copper wire production twin model trained at the corresponding central node of the comprehensive linkage network, and use the copper wire production twin model to analyze the copper wire production loss of the copper wire production line. Based on the copper wire production loss, the comprehensive linkage network is used to construct the production linkage optimization parameters of the copper wire production line, and the intelligent production of the copper wire to be bonded is performed through the production linkage optimization parameters.

[0194] In detail, the modules described in the intelligent bonding copper wire production execution system 200 with comprehensive linkage and data management described in the embodiment of the present invention adopt the same technical means as the intelligent bonding copper wire production execution method with comprehensive linkage and data management described in the accompanying drawings when used, and can produce the same technical effects, which will not be repeated here.

[0195] An embodiment of the present invention provides an electronic device for implementing an intelligent copper bonding wire production execution method that realizes comprehensive linkage and data management.

[0196] See also Figure 3 As shown, the electronic device may include a processor 10, a memory 11, a communication bus 12 and a communication interface 13, and may also include a computer program stored in the memory 11 and executable on the processor 10, such as an intelligent bonding copper wire production execution method program with integrated linkage and data management.

[0197] In some embodiments, the processor may be composed of an integrated circuit, for example, a single packaged integrated circuit, or a plurality of integrated circuits with the same or different functions, including one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and combinations of various control chips. The processor is the control core (Control Unit) of the electronic device, and uses various interfaces and lines to connect various components of the entire electronic device, and executes or executes programs or modules stored in the memory (for example, an intelligent bonding copper wire production execution program that executes comprehensive linkage and data management, etc.), and calls data stored in the memory to execute various functions of the electronic device and process data.

[0198] The memory includes at least one type of readable storage medium, and the readable storage medium includes flash memory, mobile hard disk, multimedia card, card-type memory (for example: SD or DX memory, etc.), magnetic memory, disk, optical disk, etc. In some embodiments, the memory may be an internal storage unit of an electronic device, such as a mobile hard disk of the electronic device. In other embodiments, the memory may also be an external storage device of an electronic device, such as a plug-in mobile hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the electronic device. Further, the memory may also include both an internal storage unit and an external storage device of the electronic device. The memory can not only be used to store application software and various types of data installed in the electronic device, such as the code of the intelligent bonding copper wire production execution program based on comprehensive linkage and data management, but also can be used to temporarily store data that has been output or is to be output.

[0199] The communication bus may be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. The bus is configured to realize connection and communication between the memory and at least one processor, etc.

[0200] The communication interface is used for communication between the above-mentioned electronic device and other devices, including a network interface and a user interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), which is generally used to establish a communication connection between the electronic device and other electronic devices. The user interface may be a display (Display), an input unit (such as a keyboard (Keyboard)), and optionally, the user interface may also be a standard wired interface, a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, and an OLED (Organic Light-Emitting Diode, organic light-emitting diode) touch device, etc. Among them, the display may also be appropriately referred to as a display screen or a display unit, which is used to display information processed in the electronic device and to display a visual user interface.

[0201] For example, although not shown, the electronic device may also include a power source (such as a battery) for supplying power to various components. Preferably, the power source may be logically connected to the at least one processor through a power management system, so that the power management system can realize functions such as charging management, discharging management, and power consumption management. The power source may also include any components such as one or more DC or AC power sources, recharging systems, power failure detection circuits, power converters or inverters, and power status indicators. The electronic device may also include a variety of sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be repeated here.

[0202] It should be understood that the embodiment is for illustration only and the scope of the patent application is not limited to this structure.

[0203] The intelligent copper bonding wire production execution program for comprehensive linkage and data management stored in the memory of the electronic device is a combination of multiple instructions, and when running in the processor, it can achieve:

[0204] Acquiring the characteristics of the copper wire to be bonded, wherein the characteristics of the copper wire to be bonded include appearance characteristics and functional characteristics, defining production indicators of the copper wire to be bonded based on the characteristics of the copper wire to be bonded, and constructing a production process flow of the copper wire to be bonded through the production indicators;

[0205] Based on the production process, configuring the production equipment of the copper wire to be bonded, establishing a copper wire production line of the copper wire to be bonded through the production equipment, analyzing the value stream map of the copper wire production line, and calculating the linkage coefficient of the copper wire production line according to the value stream map using a preset linkage analysis function, and when the linkage coefficient meets a preset linkage threshold, constructing a linkage network of the copper wire production line;

[0206] Define the key production nodes and central nodes of the copper wire production line corresponding to the linkage network, configure the monitoring industrial network of the key production nodes, train the production status recognition model of the key production nodes, deploy the production status recognition model to the key production nodes, obtain the model monitoring industrial network, integrate the model monitoring industrial network into the linkage network, and obtain the comprehensive linkage network;

[0207] Based on the comprehensive linkage network, the key production node data of the key production node is collected, the copper wire production characteristics of the key production node data are extracted, and according to the copper wire production characteristics, the copper wire production status of the key production node is identified by using the production status identification model;

[0208] The copper wire production status is input into the copper wire production twin model trained at the corresponding central node of the comprehensive linkage network, and the copper wire production twin model is used to analyze the copper wire production loss of the copper wire production line. Based on the copper wire production loss, the comprehensive linkage network is used to construct the production linkage optimization parameters of the copper wire production line, and the intelligent production of the copper wire to be bonded is performed through the production linkage optimization parameters.

[0209] Specifically, the specific implementation method of the processor for the above instructions can refer to the description of the relevant steps in the corresponding embodiment of the accompanying drawings, which will not be repeated here.

[0210] Furthermore, if the module / unit integrated in the electronic device is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. The computer-readable storage medium can be volatile or non-volatile. For example, the computer-readable medium can include: any entity or system that can carry the computer program code, a recording medium, a USB flash drive, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, and a read-only memory (ROM).

[0211] The present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor of an electronic device, the computer program can implement:

[0212] Acquiring the characteristics of the copper wire to be bonded, wherein the characteristics of the copper wire to be bonded include appearance characteristics and functional characteristics, defining production indicators of the copper wire to be bonded based on the characteristics of the copper wire to be bonded, and constructing a production process flow of the copper wire to be bonded through the production indicators;

[0213] Based on the production process, configuring the production equipment of the copper wire to be bonded, establishing a copper wire production line of the copper wire to be bonded through the production equipment, analyzing the value stream map of the copper wire production line, and calculating the linkage coefficient of the copper wire production line according to the value stream map using a preset linkage analysis function, and when the linkage coefficient meets a preset linkage threshold, constructing a linkage network of the copper wire production line;

[0214] Define the key production nodes and central nodes of the copper wire production line corresponding to the linkage network, configure the monitoring industrial network of the key production nodes, train the production status recognition model of the key production nodes, deploy the production status recognition model to the key production nodes, obtain the model monitoring industrial network, integrate the model monitoring industrial network into the linkage network, and obtain the comprehensive linkage network;

[0215] Based on the comprehensive linkage network, the key production node data of the key production node is collected, the copper wire production characteristics of the key production node data are extracted, and according to the copper wire production characteristics, the copper wire production status of the key production node is identified by using the production status identification model;

[0216] The copper wire production status is input into the copper wire production twin model trained at the corresponding central node of the comprehensive linkage network, and the copper wire production twin model is used to analyze the copper wire production loss of the copper wire production line. Based on the copper wire production loss, the comprehensive linkage network is used to construct the production linkage optimization parameters of the copper wire production line, and the intelligent production of the copper wire to be bonded is performed through the production linkage optimization parameters.

[0217] In the several embodiments provided by the present invention, it should be understood that the disclosed devices, systems and methods can be implemented in other ways. For example, the system embodiments described above are only schematic, for example, the division of the modules is only a logical function division, and there may be other division methods in actual implementation.

[0218] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0219] In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0220] It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0221] Therefore, no matter from which point of view, the embodiments should be regarded as illustrative and non-restrictive, and the scope of the present invention is limited by the appended claims rather than the above description, so it is intended that all changes falling within the meaning and scope of the equivalent elements of the claims are included in the present invention. Any attached figure mark in the claims should not be regarded as limiting the claims involved.

[0222] The embodiments of the present application can acquire and process relevant data based on artificial intelligence technology. Artificial Intelligence (AI) is the theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results.

[0223] In addition, it is clear that the word "comprising" does not exclude other units or steps, and the singular does not exclude the plural. Multiple units or systems stated in a system claim can also be implemented by one unit or system through software or hardware. The words first, second, etc. are used to indicate names, and do not indicate any particular order.

Claims

1. An intelligent copper bonding wire production execution method with comprehensive linkage and data management, characterized in that: The method comprises: Acquiring the characteristics of the copper wire to be bonded, wherein the characteristics of the copper wire to be bonded include appearance characteristics and functional characteristics, defining production indicators of the copper wire to be bonded based on the characteristics of the copper wire to be bonded, and constructing a production process flow of the copper wire to be bonded through the production indicators; Based on the production process, configuring the production equipment of the copper wire to be bonded, establishing a copper wire production line of the copper wire to be bonded through the production equipment, analyzing the value stream map of the copper wire production line, and calculating the linkage coefficient of the copper wire production line according to the value stream map using a preset linkage analysis function, and when the linkage coefficient meets a preset linkage threshold, constructing a linkage network of the copper wire production line; Define the key production nodes and central nodes of the copper wire production line corresponding to the linkage network, configure the monitoring industrial network of the key production nodes, train the production status recognition model of the key production nodes, deploy the production status recognition model to the key production nodes, obtain the model monitoring industrial network, integrate the model monitoring industrial network into the linkage network, and obtain the comprehensive linkage network; Based on the comprehensive linkage network, the key production node data of the key production node is collected, the copper wire production characteristics of the key production node data are extracted, and according to the copper wire production characteristics, the copper wire production status of the key production node is identified by using the production status identification model; The copper wire production status is input into the copper wire production twin model trained at the corresponding central node of the comprehensive linkage network, and the copper wire production twin model is used to analyze the copper wire production loss of the copper wire production line. Based on the copper wire production loss, the comprehensive linkage network is used to construct the production linkage optimization parameters of the copper wire production line, and the intelligent production of the copper wire to be bonded is performed through the production linkage optimization parameters.

2. The intelligent copper bonding wire production execution method with comprehensive linkage and data management as claimed in claim 1 is characterized in that: Defining the production index of the copper wire to be bonded based on the characteristics of the copper wire to be bonded includes: Analyzing the influence of the characteristics of the copper wire to be bonded on the quality of the copper wire to be bonded; Determining a characteristic weight of the characteristic of the copper wire to be bonded according to the quality influence relationship; Based on the characteristic weights, key characteristics of the copper wire to be bonded are screened, and the key characteristics are prioritized to obtain a characteristic priority sequence; identifying a characteristic correlation coefficient for the key characteristic; Define initial production targets for said key characteristics; The initial production index is optimized by the characteristic correlation coefficient and the characteristic priority sequence to obtain the optimized production index of the copper wire to be bonded; Performing simulation production on the optimized production index to obtain simulation production data; Analyzing the characteristic integrity coefficient of the copper wire to be bonded by using the simulation production data; When the characteristic integrity coefficient meets the preset characteristic integrity threshold, the optimized production index is used as the production index of the copper wire to be bonded.

3. The intelligent copper bonding wire production execution method with comprehensive linkage and data management as claimed in claim 2 is characterized in that: The step of optimizing the initial production index by using the characteristic correlation coefficient and the characteristic priority sequence to obtain the optimized production index of the copper wire to be bonded includes: According to the characteristic priority sequence, constructing a characteristic value-production index set of the copper wire to be bonded; Establishing a fitting response surface model of the copper wire to be bonded by using the characteristic value-production index set; Calculating the goodness of fit of the fitted response surface model; When the goodness of fit and the characteristic correlation coefficient are used, the model coefficient of the fitted response surface model is optimized to obtain an optimized fitted response surface model; The optimal parameters of the optimized fitting response surface model are calculated using a preset optimal function: ； in, represents the optimal parameters for optimizing the response surface model. represents the optimal function for optimizing the fitting response surface model, Indicates the optimal fitting response surface model in The production index input value at the moment, Indicates the optimal fitting response surface model in The copper wire characteristic output value at the moment, represents the initial time for analyzing and optimizing the optimal parameters of the response surface model. Indicates the end time of analyzing and optimizing the optimal parameters of the response surface model. Indicates time, represents the minimization function; According to the optimal parameters, the optimized production index of the copper wire to be bonded is determined.

4. The intelligent copper bonding wire production execution method with comprehensive linkage and data management as claimed in claim 3 is characterized in that: The step of establishing the copper wire production line for the copper wire to be bonded by the production equipment comprises: Identify equipment functions and equipment relevance of the production equipment; Marking a production equipment label of the production equipment according to the function of the equipment, the relevance of the equipment, and the production process of the copper wire to be bonded; Connecting the production equipment through the production equipment tag to obtain an initial copper wire production line; defining equipment constraints of the production equipment; Based on the equipment constraint conditions and the corresponding production indicators of the copper wire to be bonded, defining production line production parameters of the initial copper wire production line; The copper wire production line of the copper wire to be bonded is determined according to the production parameters of the production line.

5. The intelligent copper bonding wire production execution method with comprehensive linkage and data management as claimed in claim 4 is characterized in that: The analysis of the value stream map of the copper wire production line includes: Simulating the copper wire production of the copper wire production line to obtain simulated copper wire production data; Defining the value standard symbol of the copper wire production line; Based on the simulated copper wire production data, a flow chart of the copper wire production line is drawn using the value standard symbol; Marking the process time and waste set of the copper wire production line; Based on the waste set, defining a waste state of the flow chart; The process time and the waste status are integrated into the flow chart to obtain a value stream chart of the copper wire production line.

6. The intelligent copper bonding wire production execution method with comprehensive linkage and data management as claimed in claim 5, characterized in that: The step of calculating the linkage coefficient of the copper wire production line according to the value stream map using a preset linkage analysis function includes: Defining linkage analysis parameters of the linkage analysis function according to the value stream map, wherein the linkage analysis parameters include equipment efficiency, product quality coefficient, logistics efficiency, total value time and total cycle time; Based on the linkage analysis parameters, the linkage coefficient of the copper wire production line is calculated using a linkage analysis function, wherein the linkage analysis function: ； in, Represents the linkage coefficient of the copper wire production line, Indicates the copper wire production line Step value time, Indicates the copper wire production line Steps are non-value time, Represents the total value time of the copper wire production line, Represents the total cycle time of the copper wire production line, Indicates the equipment efficiency of the copper wire production line, Indicates the product quality coefficient of the copper wire production line, Indicates the logistics efficiency of the copper wire production line, Indicates the copper wire production line production steps, Indicates the number of corresponding production steps of the copper wire production line.

7. The intelligent copper bonding wire production execution method with comprehensive linkage and data management as claimed in claim 6 is characterized in that: When the linkage coefficient meets the preset linkage threshold, a linkage network of the copper wire production line is constructed, including: When the linkage coefficient meets the preset linkage threshold, determining the linkage factor of the copper wire production line; According to the linkage factors, analyzing the linkage hierarchical structure of the copper wire production line, wherein the linkage hierarchical structure includes an equipment layer, a control layer, and a management layer; constructing an actuator of the device layer; Configure a PLC controller of the control layer; Establishing the MES decision-making module of the management level; A network protocol defining the linkage hierarchy; Based on the linkage hierarchical structure, the actuator, the PLC controller, the MES decision module and the network protocol, a linkage network of the copper wire production line is constructed.

8. The intelligent copper bonding wire production execution method with comprehensive linkage and data management as claimed in claim 7, characterized in that: The PLC controller configuring the control layer includes: defining control parameters of the control layer; According to the control parameters, the start / stop logic, safety logic and PID control algorithm of the control layer are defined, wherein the safety logic: ； in, Indicates a safety trigger signal. Indicates that the control parameter corresponds to the first danger signal, Indicates that the control parameter corresponds to the second danger signal, Indicates that the control parameter corresponds to the safety bypass signal. Indicates logical NOT, Indicates the first danger signal or the second danger signal, Indicates safety bypass signal; The PLC controller of the control layer is constructed according to the start-stop logic, safety logic and PID control algorithm.

9. The intelligent copper bonding wire production execution method with comprehensive linkage and data management as claimed in claim 8, characterized in that: The analyzing the copper wire production loss of the copper wire production line by using the copper wire production twin model includes: defining a loss factor of the copper wire production line; Identify the state characteristics of the copper wire production line corresponding to the copper wire production state; Based on the loss cause and the state characteristics, using the copper wire production twin model to analyze the potential state of copper wire production of the copper wire production line; Identify a state anomaly of a potential state of production of the copper wire; Defining anomaly weights of the state anomalies; Based on the state abnormality and the abnormality weight, the copper wire production loss of the copper wire production line is determined.

10. An intelligent copper bonding wire production execution system with comprehensive linkage and data management, characterized in that: An intelligent copper bonding wire production execution method for executing the comprehensive linkage and data management as described in any one of claims 1 to 9, the system comprising: A production process analysis module, used for obtaining the characteristics of the copper wire to be bonded, wherein the characteristics of the copper wire to be bonded include appearance characteristics and functional characteristics, defining production indicators of the copper wire to be bonded based on the characteristics of the copper wire to be bonded, and constructing the production process of the copper wire to be bonded through the production indicators; A linkage network construction module, configured to configure the production equipment of the copper wire to be bonded based on the production process, establish a copper wire production line of the copper wire to be bonded through the production equipment, analyze the value stream map of the copper wire production line, calculate the linkage coefficient of the copper wire production line according to the value stream map using a preset linkage analysis function, and construct a linkage network of the copper wire production line when the linkage coefficient meets a preset linkage threshold; A comprehensive linkage network construction module is used to define the key production nodes and central nodes of the copper wire production line corresponding to the linkage network, configure the monitoring industrial network of the key production nodes, train the production status recognition model of the key production nodes, deploy the production status recognition model to the key production nodes, obtain the model monitoring industrial network, integrate the model monitoring industrial network into the linkage network, and obtain the comprehensive linkage network; A copper wire production status analysis module, used to collect the key production node data of the key production node based on the comprehensive linkage network, extract the copper wire production characteristics of the key production node data, and identify the copper wire production status of the key production node using the production status identification model according to the copper wire production characteristics; The copper wire intelligent production module is used to input the copper wire production status into the copper wire production twin model trained at the corresponding central node of the comprehensive linkage network, and use the copper wire production twin model to analyze the copper wire production loss of the copper wire production line. Based on the copper wire production loss, the comprehensive linkage network is used to construct the production linkage optimization parameters of the copper wire production line, and the intelligent production of the copper wire to be bonded is performed through the production linkage optimization parameters.

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