Data association method and device in manufacturing process, equipment and storage medium

Abstract

The invention discloses a data association method, device and equipment for a manufacturing process and a storage medium, and the method comprises the steps: carrying out the material tracking through a technology BOM and a material BOM, obtaining preparation type action related data, obtaining and associating technology parameters through a technology route, and obtaining execution type action related data; the method comprises the following steps: acquiring preparation-type action related data and execution-type action related data, fusing the preparation-type action related data and the execution-type action related data to obtain an equipment manufacturing service flow, then acquiring a process dimension data flow and a plan dimension data flow, fusing the process dimension data flow and the plan dimension data flow to obtain an application service flow, and finally fusing the equipment manufacturing service flow and the application service flow. And data association of production process data from planning to action business execution is realized. The integration and fusion of the manufacturing business flow and the planning business flow of the microwave component manufacturing process data are completed by combining the equipment manufacturing business flow and the application business flow, so that the real flow and the data flow of an automatic production line are associated through time and events.

Description

Technical Field

[0001] The present application relates to the technical field of integrated circuit manufacturing, and in particular to a data association method, device, equipment and storage medium for a manufacturing process. Background Art

[0002] With the rapid development of information technology and the continuous advancement of enterprise information construction, microwave components, as one of the key components in electronic equipment such as radar and communications, have become increasingly important. Microwave components are assembled from various microwave components and other parts, and can achieve functions such as power amplification, low-noise amplification and frequency conversion of microwave signals, occupying an irreplaceable position in modern electronic systems. However, with the increase in the amount of data in the microwave component production line and the diversification of data types, how to effectively manage and utilize this massive amount of information has become an urgent problem to be solved.

[0003] In order to better adapt to this changing trend and meet the needs of enterprises in decision analysis, production management and quality control, it is particularly necessary to build a set of manufacturing process data acquisition and association methods for automated production equipment of microwave component production lines. By systematically collecting and integrating various types of data generated throughout the manufacturing process, it is not only possible to effectively monitor the status and parameters of production equipment, but also to provide a solid foundation for subsequent data analysis. In addition, by establishing a data warehouse system specifically for microwave component production, the interoperability between data from different sources can be further improved, thereby improving overall processing efficiency and reducing usage costs.

[0004] Although existing technologies have solved the problem of data collection and application in certain manufacturing processes to a certain extent, they are still insufficient for an industry like microwave components, which has complex process flows and many design parameters. In particular, for data collection needs that require high accuracy and comprehensive coverage, current solutions based on a single device or a single system often fail to fully meet the requirements of actual application scenarios. Therefore, developing a data acquisition and association mechanism that is more suitable for the characteristics of the microwave component manufacturing industry has become a technical bottleneck that the industry urgently needs to break through. Summary of the invention

[0005] The purpose of this application is to provide a data association method, device, equipment and storage medium for a manufacturing process in order to overcome the existing technical defects. By combining the equipment manufacturing business flow and the application business flow, the manufacturing business flow and the planning business flow of the microwave component manufacturing process data are integrated and fused, so that the physical flow and data flow of the automated production line are associated through time and events.

[0006] The purpose of this application is achieved through the following technical solutions:

[0007] In a first aspect, the present application proposes a data association method for a manufacturing process, the method comprising:

[0008] Through material tracking of process BOM and material BOM, data related to preparation actions are obtained. Through process route acquisition and associating process parameters, data related to execution actions are obtained. The data related to preparation actions and execution actions are integrated to obtain the equipment manufacturing business flow. The equipment manufacturing business flow is the data flow contained in the actions generated during the processing.

[0009] Acquire a process dimension data flow and a plan dimension data flow, and merge the process dimension data flow and the plan dimension data flow to obtain an application business flow, where the application business flow is a business data flow divided according to a business scenario of data application;

[0010] Integrate equipment manufacturing business flow and application business flow to realize data association in the production process from planning to execution of action business process.

[0011] In a possible implementation, the step of obtaining the process dimension data flow includes:

[0012] Determine the processing units and steps through CAPP process route;

[0013] Based on the processing units and steps, collect process information during product production in combination with the process route;

[0014] Based on the process information, the process parameters are associated and acquired to obtain the process dimension data flow.

[0015] In a possible implementation, the step of obtaining the planning dimension data stream includes:

[0016] From the time dimension, the ERP system breaks down the order into sub-orders and transmits them to the MES system, so that the MES system can split the order into work orders according to the actual processing situation and assign a SN number to each product.

[0017] According to the usage of the equipment, the work order information is sent to the EAP system of each production unit to produce the corresponding products;

[0018] Collect and associate data from the production process from the time dimension to obtain the planning dimension data flow.

[0019] In a possible implementation, the step of fusing the process dimension data flow and the plan dimension data flow to obtain the application business flow includes:

[0020] Starting from the planning dimension, data is collected according to the process route according to the order issuance process to achieve data fusion of application business flows.

[0021] In a possible implementation, the step of integrating the device manufacturing service flow and the application service flow includes:

[0022] Collect mechanical equipment-related data in the process dimension of the application business flow, combine it with the process route of product processing and events in the processing, and connect it with the manufacturing business flow data to achieve the integration between the equipment manufacturing business flow and the application business flow.

[0023] In a second aspect, the present application proposes a data association device for a manufacturing process, the device comprising:

[0024] The first fusion module is used to obtain preparation action related data through material tracking through process BOM and material BOM, obtain execution action related data through process route acquisition and association process parameters, and fuse the preparation action related data and execution action related data to obtain equipment manufacturing business flow. The equipment manufacturing business flow is the data flow contained in the actions generated during the processing;

[0025] The second fusion module is used to obtain a process dimension data flow and a plan dimension data flow, and fuse the process dimension data flow and the plan dimension data flow to obtain an application business flow, where the application business flow is a business data flow divided according to a business scenario of data application;

[0026] The third fusion module is used to integrate the equipment manufacturing business flow and the application business flow to achieve data association in the production process from planning to execution of action business processes.

[0027] In a third aspect, the present application further proposes a computer device, comprising a processor and a memory, wherein the memory stores a computer program, and the computer program is loaded and executed by the processor to implement the data association method as described in any one of the first aspects.

[0028] In a fourth aspect, the present application further proposes a computer-readable storage medium, in which a computer program is stored. The computer program is loaded and executed by a processor to implement the data association method as described in any one of the first aspects.

[0029] The above-mentioned main scheme of the present application and its further options can be freely combined to form multiple schemes, all of which are schemes that can be adopted and claimed for protection in the present application; and in the present application, (non-conflicting options) options and other options can also be freely combined. After understanding the scheme of the present application, those skilled in the art can understand that there are multiple combinations based on the prior art and common knowledge, all of which are technical schemes to be protected by the present application, and they are not exhaustively listed here.

[0030] The present application discloses a method, device, equipment and storage medium for data association in a manufacturing process. The method obtains preparation action related data through material tracking by process BOM and material BOM, obtains execution action related data through process route acquisition and association of process parameters, fuses preparation action related data and execution action related data to obtain equipment manufacturing business flow, then obtains process dimension data flow and plan dimension data flow, fuses process dimension data flow and plan dimension data flow to obtain application business flow, and finally fuses equipment manufacturing business flow and application business flow to realize data association in the production process data from planning to execution action business process. By combining equipment manufacturing business flow and application business flow, the integration and fusion of manufacturing business flow and planning business flow of microwave component manufacturing process data are completed, so that the physical flow and data flow of the automated production line are associated through time and events. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0032] Figure 1 A schematic flow chart of a data association method for a manufacturing process proposed in an embodiment of the present application is shown.

[0033] Figure 2 A schematic diagram showing data related to preparation and execution actions proposed in an embodiment of the present application is shown.

[0034] Figure 3 A schematic diagram showing the integration of planning dimension and process dimension information in the application business flow proposed in an embodiment of the present application is shown.

[0035] Figure 4 A schematic diagram of the fusion process of the automatic bonding machine manufacturing business flow and application business flow data proposed in an embodiment of the present application is shown. DETAILED DESCRIPTION

[0036] The following describes the embodiments of the present application through specific examples, and those skilled in the art can easily understand other advantages and effects of the present application from the contents disclosed in this specification. The present application can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of the present application. It should be noted that the following embodiments and features in the embodiments can be combined with each other without conflict.

[0037] Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making any creative work shall fall within the scope of protection of this application.

[0038] Existing technologies have solved the problem of data collection and application in certain manufacturing processes to a certain extent, but for an industry like microwave components, which has complex process flows and many design parameters, there are still some shortcomings. In particular, for data collection needs that require high accuracy and comprehensive coverage, current solutions based on a single device or a single system often fail to fully meet the requirements of actual application scenarios. Therefore, developing a data acquisition and association mechanism that is more suitable for the characteristics of the microwave component manufacturing industry has become a technical bottleneck that the industry urgently needs to break through.

[0039] Therefore, in order to solve the above technical problems, the embodiment of the present application proposes a data association method, device, equipment and storage medium for the manufacturing process, which not only significantly improves the ability to perceive and obtain production line data, provides a rich data source for quality tracing and status monitoring, but also can effectively enhance the production efficiency of microwave components, optimize product quality, and further improve resource utilization. The integration and fusion of the manufacturing business flow and the planned business flow of the microwave component manufacturing process data are realized, so that the physical flow and data flow of the automated production line are associated through time and events. The embodiment of the present application is described in detail below.

[0040] Please refer to Figure 1 , Figure 1 A schematic flow chart of a method for associating data in a manufacturing process according to an embodiment of the present application is shown, and the method comprises the following steps:

[0041] Step S1, obtain preparation action related data through material tracking through process BOM and material BOM, obtain execution action related data through process route acquisition and association process parameters, and merge preparation action related data and execution action related data to obtain equipment manufacturing business flow.

[0042] The equipment manufacturing business flow is the data flow contained in the actions generated during the processing. It is also a systematic data recording method for all activities involved in the product production process. By distinguishing the data related to preparation actions from the data related to execution actions, and using the process bill of material (BOM) and material BOM to track material information, and collecting and associating process parameters in actual operations through specific process routes, a complete data chain is formed, which can effectively manage and analyze all relevant data in the entire manufacturing process.

[0043] Data related to preparation actions can ensure that the correct materials are used in the correct production links. By using process BOM and material BOM, the source, quantity and specific use of each material in the entire manufacturing process are recorded in detail. For example, confirm whether the bonding machine processing formula is appropriate, prepare gold wire and gold ribbon of corresponding specifications, replace the appropriate splitting knife and other preparation work. This information is usually recorded and stored in the MES system.

[0044] Figure 2 A schematic diagram of the preparation and execution action related data proposed in the embodiment of the present application is shown. In the preparation action data, the process route includes an automatic dispensing unit, an automated patch unit, a flying probe test unit, etc., and the material BOM includes dispensing unit material preparation, patch unit material preparation, flying probe unit material preparation, etc., and then the materials are traced.

[0045] In the execution action data, the process routes include automatic dispensing machine, automatic placement machine, flying probe tester, etc., and the events include dispensing machine execution action, placement machine execution action, flying probe tester execution action, etc. Then the whole process is traced and the status of the equipment is monitored.

[0046] Compared with the preparation stage, execution actions focus more on the actual operation steps, such as the process of applying glue to the substrate in the dispensing process, how the placement machine places components in the placement process, etc. The relevant data of execution actions are collected in real time through the EAP (Equipment Automation Platform) system. Preparation actions correspond to preparation action data, and execution actions correspond to execution action data. Combining preparation action data with execution action data forms a complete equipment manufacturing business flow.

[0047] Step S2: Obtain the process dimension data flow and the plan dimension data flow, and merge the process dimension data flow and the plan dimension data flow to obtain the application business flow.

[0048] Application business flows are business data flows divided according to the business scenarios of data applications.

[0049] The process dimension data flow mainly focuses on the specific operations and technical details of the production process. It includes all the technical and parameter information involved in each step from raw material preparation to the completion of the final product, such as the type of glue used in the dispensing process and the specific settings of the placement machine in the placement process.

[0050] The planning dimension data flow focuses on information on production planning and scheduling, covering all activities on the entire timeline from order receipt to finished product delivery, such as production batch scheduling, material demand forecasting, equipment scheduling, etc., to help managers understand the gap between current production progress and expected goals, and make adjustments accordingly to ensure that tasks are completed on time.

[0051] The application business flow combines the above-mentioned planning dimension data flow and process dimension data flow, organizes and analyzes the results according to specific application scenarios, and provides a more comprehensive and targeted data perspective to support decision-making or optimize processes. For example, in the field of quality control, it is necessary to consider how a component is processed (process dimension) and the overall performance of the batch of products (planning dimension) at the same time, so as to identify potential root causes of problems and take corresponding measures. In supply chain management, such information may be used for more accurate demand forecasting and inventory control.

[0052] The steps to obtain process dimension data flow include:

[0053] Determine the processing units and steps through CAPP process route;

[0054] Based on the processing units and steps, collect process information during product production in combination with the process route;

[0055] Based on the process information, the process parameters are associated and acquired to obtain the process dimension data flow.

[0056] First, the specific units and steps of product processing are determined through computer-aided process planning (CAPP), and a detailed process flow is generated based on the product design drawings and technical requirements. Next, combined with the determined process route, process information related to people, machines, materials, methods, and environment is collected during the actual production process. "People" refers to the operators, "machines" refers to the equipment used, "materials" are raw materials or semi-finished products, "methods" refer to specific processing methods, and "environment" refers to production environment conditions. Based on the collected information, the specific process parameters in each process are associated and recorded. For example, the type and viscosity of glue are recorded in the dispensing process; the speed, accuracy and other parameters of the placement machine are recorded in the placement process, forming a complete process dimension data flow.

[0057] The steps to obtain the planning dimension data flow include:

[0058] From the time dimension, the ERP system breaks down the order into sub-orders and transmits them to the MES system, so that the MES system can split the order into work orders according to the actual processing situation and assign a SN number to each product.

[0059] According to the usage of the equipment, the work order information is sent to the EAP system of each production unit to produce the corresponding products;

[0060] Collect and associate data from the production process from the time dimension to obtain the planning dimension data flow.

[0061] First, the customer order is decomposed into multiple sub-orders in the enterprise resource planning (ERP) system and passed to the manufacturing execution system (MES). The MES system further splits each sub-order into several work orders based on the actual situation of the current production line, and assigns a unique serial number (SN number) to each product for easy tracking. Subsequently, the MES will send these work order information to the equipment automation platform (EAP) of each production workshop or work unit to guide the specific production equipment to complete the corresponding product manufacturing tasks according to the established process route. Throughout the production process, relevant data will be continuously collected at every time node from order receipt to final product delivery. These data include but are not limited to the start / end time of each stage, the amount of materials used, the operating status of the equipment, etc. By analyzing these chronologically arranged data, a complete planning dimension data flow is constructed.

[0062] The steps of integrating the process dimension data flow and the planning dimension data flow to obtain the application business flow include:

[0063] Starting from the planning dimension, data is collected according to the process route according to the order issuance process to achieve data fusion of application business flows.

[0064] Figure 3 The schematic diagram of the integration of planning dimension and process dimension information in the application business flow proposed in the embodiment of the present application is shown. The ERP system receives customer orders and decomposes the orders into sub-orders. The MES system receives sub-orders from the ERP system, further decomposes them into specific work orders, and assigns a unique serial number (SN number) to each product. The MES system generates detailed work order information according to the actual situation, including the required raw materials, equipment, personnel, etc. The MES system sends the work order information to the EAP (equipment automation system) of each production unit to guide the equipment to produce according to the plan. The CAPP system generates a detailed process route according to the product design and technical requirements, clarifies the specific operation steps and process parameters of each process, and collects process information of people, machines, materials, methods, and environments in accordance with the process route in the actual production process. For example, record the operator, equipment status, raw material batch, process parameters, etc., associate the collected process information with the specific process parameters to form a data flow of the process dimension, and collect and associate the data of the entire production process in chronological order to form a data flow of the planning dimension.

[0065] By integrating the process routes from the CAPP system and information on order management, production scheduling, etc. in the MES system, an application business flow that comprehensively covers the entire life cycle from raw material preparation to finished product delivery can be obtained. This can not only help manufacturers better understand the actual situation on their production lines, but also support more efficient operational decisions, such as optimizing resource allocation and improving product quality.

[0066] Step S3: Integrate the equipment manufacturing business flow and the application business flow to achieve data association in the production process from planning to execution of action business processes.

[0067] The integration of equipment manufacturing business flow and application business flow is to collect the "machine" information in the process dimension of the application business flow, combine the process route of product processing and the events in the processing, and collect the manufacturing business flow data of the equipment to achieve the integration between the two.

[0068] The steps to integrate the equipment manufacturing business flow and the application business flow include:

[0069] Collect mechanical equipment-related data in the process dimension of the application business flow, combine it with the process route of product processing and events in the processing, and connect it with the manufacturing business flow data to achieve the integration between the equipment manufacturing business flow and the application business flow.

[0070] Mechanical equipment-related data refers to various data collected from production equipment, including but not limited to equipment status (such as operation, shutdown), working parameters (such as temperature, pressure, speed), production efficiency (such as output, downtime), etc.

[0071] Clarify the processing steps and sequence of each product, ensure that each step is executed according to the predetermined process flow, and record various events that occur during the production process, such as equipment failure, material change, shift change, etc. Perform actual production operations according to the process route generated by the CAPP system, and collect relevant process parameters and process information in real time in each process. Associate important events in the processing process with the status and parameters of the equipment to form a complete event log.

[0072] First, ensure that all necessary materials and resources are ready, debug the equipment, perform actual production operations according to the process route, and collect relevant process parameters and process information in real time in each process. Establish a centralized data storage platform to store data collected from systems such as ERP, MES, and CAPP, and then associate data from different systems, such as associating order information in ERP with work order information in MES, and then with process route information in CAPP, and use data analysis tools to extract valuable insights. Finally, monitor the production process through a real-time monitoring system, detect and handle abnormal situations in a timely manner, and feed back the monitored information to the corresponding system for adjustment and optimization.

[0073] In a possible embodiment, the present application embodiment takes an automatic bonding machine as an example, combined with Figure 4A schematic diagram of the fusion process of the automatic bonding machine manufacturing business flow and application business flow data proposed in an embodiment of the present application is shown to introduce the above-mentioned data association method, which divides the manufacturing business flow data into preparation action data and execution action data, wherein the preparation action data includes confirming whether the bonding machine processing formula matches the product to be processed, and preparing gold wire and gold ribbon of corresponding specifications according to product requirements, and replacing the appropriate splitting knife (ball welding splitting knife or wedge welding splitting knife). This information is usually stored in MES (manufacturing execution system).

[0074] Execution action data refers to the specific operation steps performed by the bonding machine according to a specific processing program. First, the splitter moves to the specified processing position through the X, Y, and Z directions, and the current is generated through the spark rod on the bonding machine to melt the gold wire into a ball. The splitter moves in the Z direction and presses the molten gold wire ball onto the product's pad. The ultrasonic converter is used to weld the gold wire to the product pad. During the bonding process, the EAP system will collect relevant execution action data in real time according to the communication protocol of the bonding machine, such as power peak, power ramp time, bonding point number, bonding wire number, maximum deformation value, and voltage peak value.

[0075] Bonding unit application business flow This business flow is divided into planning dimension and process dimension. The planning dimension involves the conversion process from order to work order, and then combined with the product process route, the task is finally assigned to the bonding production unit. The process dimension collects data from the entire production unit from five aspects: "people", "machine", "material", "method" and "environment". The corresponding requirements for the five aspects are: operators are required to be at least intermediate level, use automatic bonding machines, select corresponding splitting knives and gold wires / gold belts according to product types, follow the processing procedures of specific products, and produce under specific processing conditions (such as voltage, current, temperature).

[0076] By combining the information of the planning dimension and the process dimension, the overall integration of the bonding unit application business flow data can be achieved. First, combine the release path of the production order and gradually connect the entire process flow. Collect equipment processing information in the process dimension to achieve the integration of manufacturing business flow and application business flow. The EAP system will collect various process parameters in real time when the bonding machine is working. Finally, by associating the product serial number (SN number) in the order with the data in the EAP system and MES system, a complete data view is formed, covering all relevant information of the product SN number and its corresponding bonding process manufacturing process.

[0077] Compared with the prior art, the embodiments of the present application have the following beneficial effects:

[0078] By combining the equipment manufacturing business flow and the application business flow, the association of production process data from planning to execution of action business process data is achieved, which significantly improves the efficiency of equipment data association and the ability to perceive and acquire production line data.

[0079] A possible implementation of a manufacturing process data association device is provided below, which is used to execute the various execution steps and corresponding technical effects of the data association method shown in the above embodiment and possible implementation. The device includes:

[0080] The first fusion module is used to obtain preparation action related data through material tracking through process BOM and material BOM, obtain execution action related data through process route acquisition and association process parameters, and fuse the preparation action related data and execution action related data to obtain equipment manufacturing business flow. The equipment manufacturing business flow is the data flow contained in the actions generated during the processing;

[0081] The second fusion module is used to obtain a process dimension data flow and a plan dimension data flow, and fuse the process dimension data flow and the plan dimension data flow to obtain an application business flow, where the application business flow is a business data flow divided according to a business scenario of data application;

[0082] The third fusion module is used to integrate the equipment manufacturing business flow and the application business flow to achieve data association in the production process from planning to execution of action business processes.

[0083] This preferred embodiment provides a computer device, which can implement the steps in any embodiment of the data association method provided in the embodiments of the present application. Therefore, the beneficial effects of the data association method provided in the embodiments of the present application can be achieved. Please refer to the previous embodiments for details and will not be repeated here.

[0084] Those skilled in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructions, or by controlling related hardware through instructions, and the instructions can be stored in a computer-readable storage medium and loaded and executed by a processor. To this end, an embodiment of the present application provides a storage medium, which stores multiple instructions, and the instructions can be loaded by a processor to execute the steps of any embodiment of the data association method provided in the embodiment of the present application.

[0085] The storage medium may include: a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, etc.

[0086] Since the instructions stored in the storage medium can execute the steps in any data association method embodiment provided in the embodiments of the present application, the beneficial effects that can be achieved by any data association method provided in the embodiments of the present application can be achieved. Please refer to the previous embodiments for details and will not be repeated here.

[0087] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present application should be included in the protection scope of the present application.

Claims

1. A data association method for a manufacturing process, characterized in that: The method comprises: Through material tracking of process BOM and material BOM, data related to preparation actions are obtained. Through process route acquisition and associating process parameters, data related to execution actions are obtained. The data related to preparation actions and execution actions are integrated to obtain the equipment manufacturing business flow. The equipment manufacturing business flow is the data flow contained in the actions generated during the processing. Acquire a process dimension data flow and a plan dimension data flow, and merge the process dimension data flow and the plan dimension data flow to obtain an application business flow, where the application business flow is a business data flow divided according to a business scenario of data application; Integrate equipment manufacturing business flow and application business flow to realize data association in the production process from planning to execution of action business process.

2. The data association method according to claim 1, characterized in that: The steps to obtain process dimension data flow include: Determine the processing units and steps through CAPP process route; Based on the processing units and steps, collect process information during product production in combination with the process route; Based on the process information, the process parameters are associated and acquired to obtain the process dimension data flow.

3. The data association method according to claim 1, characterized in that: The steps to obtain the planning dimension data flow include: From the time dimension, the ERP system breaks down the order into sub-orders and transmits them to the MES system, so that the MES system can split the order into work orders according to the actual processing situation and assign a SN number to each product. According to the usage of the equipment, the work order information is sent to the EAP system of each production unit to produce the corresponding products; Collect and associate data from the production process from the time dimension to obtain the planning dimension data flow.

4. The data association method according to claim 1, characterized in that: The steps of integrating the process dimension data flow and the planning dimension data flow to obtain the application business flow include: Starting from the planning dimension, data is collected according to the process route according to the order issuance process to achieve data fusion of application business flows.

5. The data association method according to claim 1, characterized in that: The steps to integrate the equipment manufacturing business flow and the application business flow include: Collect mechanical equipment-related data in the process dimension of the application business flow, combine it with the process route of product processing and events in the processing, and connect it with the manufacturing business flow data to achieve the integration between the equipment manufacturing business flow and the application business flow.

6. A data association device for a manufacturing process, characterized in that: The device comprises: The first fusion module is used to obtain preparation action related data through material tracking through process BOM and material BOM, obtain execution action related data through process route acquisition and association process parameters, and fuse the preparation action related data and execution action related data to obtain equipment manufacturing business flow. The equipment manufacturing business flow is the data flow contained in the actions generated during the processing; The second fusion module is used to obtain a process dimension data flow and a plan dimension data flow, and fuse the process dimension data flow and the plan dimension data flow to obtain an application business flow, where the application business flow is a business data flow divided according to a business scenario of data application; The third fusion module is used to integrate the equipment manufacturing business flow and the application business flow to achieve data association in the production process from planning to execution of action business processes.

7. A computer device, characterized in that: The computer device includes a processor and a memory, wherein a computer program is stored in the memory, and the computer program is loaded and executed by the processor to implement the data association method according to any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that: The storage medium stores a computer program, which is loaded and executed by a processor to implement the data association method according to any one of claims 1 to 5.

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