Process design method and system based on structured process model and knowledge driving

Abstract

The invention provides a process design method and system based on a structured process model and knowledge driving, and relates to the technical field of intelligent manufacturing and process design, and the method comprises the steps: obtaining a process design target and a production preparation element, carrying out the objectification structure of the process design target and the production preparation element, and constructing a structured process business model; based on the structured process business model, defining a typical process and application parameters by using an extensible classification characteristic and a combination mechanism; constructing a knowledge-driven process generation engine, and defining a comprehensive knowledge application rule based on a specific target process design in combination with the structured process business model; performing multi-scheme and operation configuration in a knowledge-driven process generation engine by utilizing a comprehensive knowledge application rule; and automatically generating a process design based on the multiple schemes and the operation configuration result, and outputting a final process scheme.

Description

Technical Field

[0001] The present disclosure relates to the technical field of intelligent manufacturing and process design, and in particular to a process design method and system based on a structured process model and knowledge-driven. Background Art

[0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art.

[0003] As the manufacturing industry transforms towards intelligence, traditional process design methods can no longer meet the needs of personalization and rapid response to the market. Traditional process design relies on expert experience and manual configuration, which is inefficient and difficult to adapt to complex and changing production environments. Therefore, an automated and intelligent knowledge accumulation and application method is needed to improve process design efficiency and quality.

[0004] At present, knowledge-driven rapid process design and parametric process design methods are mostly used, including key technologies such as deep knowledge acquisition, knowledge injection and industrial knowledge graph. These technologies play an important role in discrete manufacturing systems. Through the application cases of intelligent decision-making processes, the practical application of these key technologies is demonstrated. In the context of intelligent manufacturing, the model and knowledge-driven methods are combined for semi-automatic design of processing procedures. It includes steps such as process skeleton model construction, labeling, process feature mapping association, step set calculation and step specific processing content generation, process digital design intelligent scene landing, application mode interpretation and how to improve process design efficiency and quality through model definition, advanced manufacturing and other technologies.

[0005] However, current knowledge-driven rapid process design and parametric process design methods are still mostly based on customized development of a single component type or process specialty. They have obvious deficiencies in knowledge expression, acquisition, knowledge updating and maintenance, knowledge application rule definition, and the adaptability, scalability, and flexibility of hyper-parametric processes. They are also not portable and cannot be replicated for multiple disciplines, multiple environments, and complex business scenarios. Summary of the invention

[0006] In order to solve the above problems, the present disclosure proposes a process design method and system based on structured process model and knowledge-driven. Through object deconstruction, modeling scalability and knowledge configuration definition, a knowledge-driven rapid process model is constructed, and future expansion and adjustment are supported. It can not only provide higher process design efficiency and quality, reduce design errors, and improve production efficiency, but also adapt to changing production needs.

[0007] According to some embodiments, the present disclosure adopts the following technical solutions: The process design method based on structured process model and knowledge-driven includes: Obtain process design objectives and production preparation elements, objectify them and construct a structured process business model; Based on the structured process business model, the typical process and application parameters are defined by using the scalable classification characteristics and combination mechanism; Build a knowledge-driven process generation engine, combine it with a structured process business model, and define comprehensive knowledge application rules based on specific target process design; Utilize comprehensive knowledge application rules to perform multiple schemes and operation configurations in the knowledge-driven process generation engine; Automatically generate process design based on multiple schemes and calculation configuration results, and output the final process scheme.

[0008] According to some embodiments, the present disclosure adopts the following technical solutions: The process design system based on structured process model and knowledge-driven includes: Model building module, used to obtain process design objectives and production preparation elements, objectify the process design objectives and production preparation elements, and build a structured process business model; A rule definition module is used to define typical process and application parameters based on a structured process business model using scalable classification features and combination mechanisms; The knowledge-driven module is used to build a knowledge-driven process generation engine. It combines the structured process business model to define comprehensive knowledge application rules based on specific target process design. It uses comprehensive knowledge application rules to perform multiple schemes and calculation configurations in the knowledge-driven process generation engine. The process generation module is used to automatically generate process designs based on multiple schemes and calculation configuration results, and output the final process scheme.

[0009] According to some embodiments, the present disclosure adopts the following technical solutions: A computer program product includes a computer program, and when the computer program is executed by a processor, the process design method based on a structured process model and knowledge-driven is implemented.

[0010] According to some embodiments, the present disclosure adopts the following technical solutions: A non-transitory computer-readable storage medium is used to store computer instructions. When the computer instructions are executed by a processor, the process design method based on a structured process model and knowledge-driven is implemented.

[0011] According to some embodiments, the present disclosure adopts the following technical solutions: An electronic device comprises: a processor, a memory and a computer program; wherein the processor is connected to the memory, the computer program is stored in the memory, and when the electronic device is running, the processor executes the computer program stored in the memory so that the electronic device implements the process design method based on a structured process model and knowledge-driven.

[0012] Compared with the prior art, the present invention has the following beneficial effects: The disclosed process design method based on structured process model and knowledge-driven objectifies process design objectives and production preparation elements, constructs a structured process business model, improves the standardization of process design, defines a knowledge-driven digital carrier, and provides scalable digital process business object definition capabilities.

[0013] The process design method based on structured process model and knowledge-driven disclosed in the present invention uses scalable classification characteristics and combination mechanisms to define manufacturing process and application parameters, improve process flexibility and adaptability, optimize knowledge utilization, enhance standardization and normalization, assist in resource allocation and traceability, facilitate communication training and cross-domain collaboration, promote process innovation, improve product quality and production efficiency, and strengthen corporate competitiveness and industry collaborative development.

[0014] The disclosed process design method based on structured process model and knowledge-driven constructs a knowledge-driven process generation engine, combines a structured process business model, and defines comprehensive knowledge application rules based on specific target process design; using the comprehensive knowledge application rules, multiple schemes and calculation configurations are performed in the knowledge-driven process generation engine to efficiently generate multiple process schemes. With the help of structured models and knowledge-driven engines, various types of knowledge can be accurately integrated according to comprehensive rules. Rapid calculation and configuration of multiple schemes improves the flexibility and innovation of process design, reduces design cost and time, enhances the rationality and feasibility of the scheme, promotes the standardization and intelligence of process design, and helps enterprises respond to changes in production demand efficiently. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] The accompanying drawings constituting a part of the present disclosure are used to provide a further understanding of the present disclosure. The illustrative embodiments of the present disclosure and their descriptions are used to explain the present disclosure and do not constitute an improper limitation on the present disclosure.

[0016] Figure 1 A schematic diagram of a structured process business model according to an embodiment of the present disclosure; Figure 2 It is a schematic diagram of the structured process main object expansion of an embodiment of the present disclosure; Figure 3 A schematic diagram of structured process association rules according to an embodiment of the present disclosure; Figure 4A diagram of a knowledge-driven rapid process design implementation process of an embodiment of the present disclosure; Figure 5 An example diagram of a structured process of a circuit board assembly process according to an embodiment of the present disclosure; Figure 6 This is an example diagram of typical electrical equipment process data of an embodiment of the present disclosure; Figure 7 This is an example diagram of multiple types of operations according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0017] The present disclosure is further described below in conjunction with the accompanying drawings and embodiments.

[0018] It should be noted that the following detailed descriptions are all illustrative and are intended to provide further explanation of the present disclosure. Unless otherwise specified, all technical and scientific terms used herein have the same meanings as those commonly understood by those skilled in the art to which the present disclosure belongs.

[0019] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit the exemplary embodiments according to the present disclosure. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should be understood that when the terms "comprising" and / or "including" are used in this specification, it indicates the presence of features, steps, operations, devices, components and / or combinations thereof.

[0020] Example 1 In one embodiment of the present disclosure, a process design method based on a structured process model and knowledge-driven is provided, including: Step 1: Obtain process design objectives and production preparation elements, objectify them, and build a structured process business model; Step 2: Based on the structured process business model, use the scalable classification characteristics and combination mechanism to define typical process and application parameters; Step 3: Build a knowledge-driven process generation engine, combine it with a structured process business model, and define comprehensive knowledge application rules based on specific target process design; Step 4: Use comprehensive knowledge application rules to perform multiple schemes and calculation configurations in the knowledge-driven process generation engine; Step 5: Automatically generate process design based on multiple schemes and calculation configuration results, and output the final process scheme.

[0021] As an embodiment, the specific implementation process of the process design method based on structured process model and knowledge-driven disclosed in the present invention is as follows: Step 1: Obtain process design objectives and production preparation elements, objectify them, and build a structured process business model; Specifically, a structured process business model is constructed, including: dividing the process level types according to process design goals and production preparation elements, building the process model level of each process specialty based on the process level types, subdividing the objects of each level of work and customizing the process parameters of concern to each level.

[0022] Among them, the object deconstruction of process design and production preparation elements is realized through the structured chemical process modeling mechanism. The relevant objects support scalability, configurability and combination, and can meet the requirements of multi-professional processes and multi-factor process technology definition; Step 2: Based on the structured process business model, use the scalable classification characteristics and combination mechanism to define typical process and application parameters; Specifically, based on the structured process business model, extensible classification characteristics and combination mechanisms are used to define typical process procedures and application parameters, including: classification of typical manufacturing components based on manufacturing process characteristics, including component design types, manufacturing precision characteristics, material characteristics, and manufacturing process characteristics; based on PLM classification management technology, classification characteristics of various types of process resource objects are constructed and maintained, and process procedures and application parameters are defined based on the classification characteristics.

[0023] Among them, 1) Classification management of manufacturing process characteristics: Typical manufacturing components are classified based on their manufacturing process characteristics, including but not limited to the design type of the components, manufacturing accuracy characteristics, material characteristics, manufacturing process characteristics, etc. Manufacturing characteristic classification can also be classified based on the professional characteristics of the manufacturing target.

[0024] 2) Process knowledge and resource classification management Based on the PLM classification management technology principle, the classification characteristics of various objects such as process resources are constructed and maintained, and the characteristic-based query builder is used to support the construction and management of process knowledge resources, including: Process (equipment) resource management for process professionals and based on equipment types; Tool resource management oriented to application products, professions and purposes; Management of process benchmarks and standard process knowledge resources for process design; Process-related elements such as input components and processes; Typical process instance data based on a predetermined process model for process specialties and specific process types, where the current type of typical process instance data must also have usage rules, such as if, else, etc.; As an embodiment, taking the electrical assembly process as an example, two types of key knowledge data need to be defined here, including a component library and typical processes and their application parameter process knowledge. Among them, the component library requires an electronic component manufacturing process knowledge base to maintain the manufacturing process attributes of the components, as shown in Table 1.

[0025] Table 1 Electronic components manufacturing process knowledge base

[0026] like Figure 6 As shown in the figure, typical processes and their application parameters process knowledge is typical electrical process data for a professional model, and the full process structure and process-related data for a typical product of a certain type are preset, including: After determining the typical process, SMT preparation, discrete preparation, cable preparation, etc. are carried out respectively, including printed circuit board collection, component collection, printed circuit board baking, label gold removal and label tinning. Discrete preparation includes device inspection and leg cutting, cable preparation includes wire unloading, wire stripping and installation of screw-mounted devices.

[0027] Step 3: Build a knowledge-driven process generation engine, combine it with the structured process business model, and define comprehensive knowledge application rules based on specific target process design; Specifically, a knowledge-driven process generation engine is constructed, combined with a structured process business model, to define comprehensive knowledge application rules based on specific target process design; By building a knowledge-driven model, model generation rules can be derived from typical process classifications or even specific typical process objects, typical processes, and knowledge models to build generation rules from typical process framework structures to process attributes to process-related production factors. Including: defining the source of the process, setting typical process classifications, and setting the use-driven parameter rules of the classification instances; defining the generation rules of the process structure, setting the structure generation drive parameters and rules, calling the rule parameters in actual operations to match the use parameter configuration rules defined in the typical process instance; defining the generation rules of the process content itself, based on the generation rules of the process attributes preset in the process model; taking the associated configuration elements in the structured process business model as an example, defining its associated generation rules.

[0028] Further, 1) define the process source, set the typical process classification, and set the use-driven parameter rules of the classification instance. The use parameter rule definition has a high correlation with the process manufacturing target, usually the process manufacturing characteristic parameters in the manufacturing product specification classification. That is, the parameter items of the components are applied, such as the classification attribute is the shaft or has the outer circle or end face and other features to find the typical process content that meets the typical manufacturing target type.

[0029] 2) Define the generation rules of the process structure, set the structure generation driving parameters and rules, and call the rule parameters in the actual operation to match the usage parameter configuration rules defined in the typical process instance; define the usage parameters and configuration rules in the structured data of the typical process. For example, if a certain attribute is dependent, the value of the attribute needs to be defined. When configuring the value, the process or step data of this structured process is used.

[0030] The process structure generation rules usually include two typical business scenarios: 2-1) For assembly process majors, including but not limited to structural assembly, electrical assembly, electrical, welding and other process subdivisions, the assembly process is based on typical products or components to build a typical process, there are also scenarios where the structure of the assembly process is affected by assembly input parts, so it is necessary to comprehensively consider the impact of various types of assembly input parts on the process; 2-2) For parts processing, the process structure is highly correlated with the manufacturing process characteristics and the manufacturing target material. Therefore, the generation drive parameters of the process need to be configured in combination with the manufacturing process characteristics, materials, processing accuracy, etc. 3) Define the rules for generating the process content itself, based on the rules for generating the process attributes preset in the process model; 4) Taking the associated configuration elements in process modeling as an example, define the associated generation rules, including but not limited to input parts, process drawings, labor quotas, material quotas, quality planning, CNC processes, etc. The generation rules driven by the associated elements need to be verified, and multiple generation relationships cannot be configured for the same element (configured knowledge rules); Step 4: Utilize comprehensive knowledge application rules to perform multiple schemes and operation configurations in the knowledge-driven process generation engine; automatically generate process designs based on the multiple schemes and operation configuration results, and output the final process scheme.

[0031] Specifically, according to the discrete manufacturing process application practice, rule configuration is implemented in the knowledge-driven process generation engine to accumulate and realize multi-scheme configuration and multiple operation methods; among them, multi-scheme configuration is mainly used in scenarios where different characteristic values ​​of the same attribute may correspond to different operation scheme applications; The multi-type operation methods mainly include common mathematical calculations (conventional priority, addition, subtraction, multiplication and division operations, etc.), formula operations (30 types of mathematical operation functions based on formula parameters); judgment operations (2 items); query operations (3 items), and formula nesting is implemented in formula operations, supporting the comprehensive application of multiple cumulative operation methods; As an example, taking the rapid design of electrical equipment process as an example, when configuring rules, it is necessary to define the main context hierarchy of the structured process framework; Set usage rules for each process node, including fixed process / step; judging process / step based on component library; judging process / step based on previous sequence, etc.; At the same time, it is necessary to define the data related to the process / step, such as "input / loaded parts", "tooling", "equipment", "working hours", "materials" The main content and attribute parameters of the process can be defined parametrically. If some process parameters have correlation rules with the design parameters of the material, the calculation rules between the two parameters can be defined; or if the process content is related to components, processes or resource objects, it can be set as a composite parametric content generation knowledge rule; Define the data source and usage condition rules for related data, such as if (A is equal to or greater than or less than X) else B, etc. Configuration parameters support calling complex formulas; for each type of related object data, a set of usage rules can be configured.

[0032] Step 5: Since the process structure, content and related elements support automatic generation without human intervention under the established knowledge operation rules, in order to ensure the reliability of the production process, inspection items are constructed. After the process is completed, manual verification data needs to be set and the inspection data is defined in the process knowledge-driven rules; this includes verifying whether the return values ​​of the defined parameters based on the knowledge-driven generation rules are accurate and complete. Human participation in the verification is required to ensure that the automatically generated content meets business requirements.

[0033] Step 6: Through the construction and application of knowledge and the application of knowledge operation rules, the final process plan can be output with one click to guide actual production.

[0034] Example 2 In one embodiment of the present disclosure, a process design system based on a structured process model and knowledge-driven is provided, including: Model building module, used to obtain process design objectives and production preparation elements, objectify the process design objectives and production preparation elements, and build a structured process business model; A rule definition module is used to define typical process and application parameters based on a structured process business model using scalable classification features and combination mechanisms; The knowledge-driven module is used to build a knowledge-driven process generation engine. It combines the structured process business model to define comprehensive knowledge application rules based on specific target process design. It uses comprehensive knowledge application rules to perform multiple schemes and calculation configurations in the knowledge-driven process generation engine. The process generation module is used to automatically generate process designs based on multiple schemes and calculation configuration results, and output the final process scheme.

[0035] Example 3 In one embodiment of the present disclosure, a computer program product is provided, including a computer program, and when the computer program is executed by a processor, the process design method based on a structured process model and knowledge-driven is implemented.

[0036] Example 4 In one embodiment of the present disclosure, a non-transitory computer-readable storage medium is provided, wherein the non-transitory computer-readable storage medium is used to store computer instructions. When the computer instructions are executed by a processor, the process design method based on a structured process model and knowledge-driven is implemented.

[0037] Example 5 In one embodiment of the present disclosure, an electronic device is provided, including: a processor, a memory, and a computer program; wherein the processor is connected to the memory, the computer program is stored in the memory, and when the electronic device is running, the processor executes the computer program stored in the memory, so that the electronic device executes the process design method based on the structured process model and knowledge-driven.

[0038] The present disclosure is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present disclosure. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of the processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0039] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0040] Although the above describes the specific implementation methods of the present disclosure in conjunction with the accompanying drawings, it is not intended to limit the scope of protection of the present disclosure. Technical personnel in the relevant field should understand that on the basis of the technical solution of the present disclosure, various modifications or variations that can be made by those skilled in the art without creative work are still within the scope of protection of the present disclosure.

Claims

1. A process design method based on structured process model and knowledge-driven, characterized by: include: Obtain process design objectives and production preparation elements, objectify them and construct a structured process business model; Based on the structured process business model, the typical process and application parameters are defined by using the scalable classification characteristics and combination mechanism; Build a knowledge-driven process generation engine, combine it with a structured process business model, and define comprehensive knowledge application rules based on specific target process design; Utilize comprehensive knowledge application rules to perform multiple schemes and operation configurations in the knowledge-driven process generation engine; Automatically generate process design based on multiple schemes and calculation configuration results, and output the final process scheme.

2. The process design method based on structured process model and knowledge-driven according to claim 1, characterized in that: Construct a structured process business model, including: dividing the process level types according to process design goals and production preparation factors, building the process model level of each process specialty based on the process level types, subdividing the objects of each level of work and customizing the process parameters of concern to each level.

3. The process design method based on structured process model and knowledge-driven according to claim 1, characterized in that: Based on the structured process business model, the manufacturing process and application parameters are defined using extensible classification characteristics and combination mechanisms, including: classification of manufacturing components based on manufacturing process characteristics, including component design types, manufacturing precision characteristics, material characteristics, and manufacturing process characteristics; based on PLM classification management technology, the classification characteristics of various process resource objects are constructed and maintained, and the process and application parameters are defined based on the classification characteristics.

4. The process design method based on structured process model and knowledge-driven according to claim 1, characterized in that: Build a knowledge-driven process generation engine, combine it with a structured process business model, and define comprehensive knowledge application rules based on specific target process design, including: define the source of the process, set typical process classifications, and set usage driving parameter rules for classification instances; define the generation rules of the process structure, set the structure generation driving parameters and rules, and call the rule parameters in actual operations to match the usage parameter configuration rules defined in the typical process instance; define the generation rules for the process content itself, based on the generation rules of the process attributes preset in the process model; take the associated configuration elements in the structured process business model as an example, and define its associated generation rules.

5. The process design method based on structured process model and knowledge-driven according to claim 4, characterized in that: The process structure generation rules include two typical business scenarios, namely, assembly-oriented process specialties and parts processing-oriented process specialties. The assembly-oriented process specialties include structural assembly, electrical assembly, electrical and welding process subdivisions. In addition to constructing typical process based on typical products or components, there are also scenarios where the structure of assembly process is affected by assembly input parts. It is necessary to comprehensively consider the impact of various matching assembly input parts on the process.

6. The process design method based on structured process model and knowledge-driven according to claim 4, characterized in that: Taking the associated configuration elements in process modeling as an example, its associated generation rules are defined, including input parts, process drawings, labor quotas, material quotas, quality planning and CNC processes. The associated element-driven generation rules need to be verified, and multiple generation relationships cannot be configured for the same element.

7. The process design system based on structured process model and knowledge-driven is characterized by: include: Model building module, used to obtain process design objectives and production preparation elements, objectify the process design objectives and production preparation elements, and build a structured process business model; A rule definition module is used to define typical process and application parameters based on a structured process business model using scalable classification features and combination mechanisms; The knowledge-driven module is used to build a knowledge-driven process generation engine. It combines the structured process business model to define comprehensive knowledge application rules based on specific target process design. It uses comprehensive knowledge application rules to perform multiple schemes and calculation configurations in the knowledge-driven process generation engine. The process generation module is used to automatically generate process designs based on multiple schemes and calculation configuration results, and output the final process scheme.

8. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the process design method based on a structured process model and knowledge-driven is implemented as described in any one of claims 1 to 6.

9. A non-transitory computer-readable storage medium, characterized in that: The non-transitory computer-readable storage medium is used to store computer instructions. When the computer instructions are executed by the processor, the process design method based on the structured process model and knowledge-driven is implemented as described in any one of claims 1-6.

10. An electronic device, characterized in that: include: A processor, a memory and a computer program; wherein the processor is connected to the memory, the computer program is stored in the memory, and when the electronic device is running, the processor executes the computer program stored in the memory so that the electronic device implements the process design method based on the structured process model and knowledge-driven as described in any one of claims 1 to 6.

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