Technical index construction and management method and system based on meta-model

Abstract

The invention discloses a meta-model-based technical index construction and management method and system. The method comprises the steps of defining index metadata according to standard specifications, project experience and historical data; according to product design requirements, constructing a structured index template library; quoting an index template library, defining indexes and association relationships between the indexes and a demand model, a SysML model, a geometric model and the like, and forming an index library; calling an index suite, and applying the index set to form a plurality of sets of index parameter solutions; calculating and analyzing the index parameters of different solutions so as to realize preliminary balancing of the solutions; according to the changed index parameters, the associated index parameters are identified, and change prompting is carried out; performing tracking, detection and early warning on the index parameters through calculation and analysis of the index parameters; setting an index verification task according to the product research and development process, and managing the execution condition and result of the verification task. According to the technical scheme provided by the invention, full-life-cycle management of the product indexes can be realized.

Description

Technical Field

[0001] The present invention relates to the field of indicator management tool research and development, and in particular to a meta-model-based technical indicator construction and management method and system. Background Art

[0002] With the extensive and in-depth application of MBSE (model-based system engineering) in the field of complex equipment development, digital system models represented by demand models, functional logic models, geometric models, simulation models, etc. have gradually been formed. However, due to the different categories of models and different modeling tools, it is difficult to ensure the consistency of parameter transfer between models, and it is impossible to achieve effective control of key parameters throughout the life cycle. Moreover, when parameters change, it is impossible to quickly evaluate the impact on other modules of the system. Throughout the product development life cycle, users need to transfer, utilize and analyze parameters in different R&D environments. In order to support the development process, parameters need to be controlled, managed, and have their own life cycle to track their evolution. All parameters at different levels (system, subsystem, component or any other level) need to be managed together to balance between all teams that need to interact with them. This visibility and interaction is crucial to finding the right parameter values ​​to optimize product performance, which is called a multi-attribute balancing process. In addition to parameter management, the analysis process must be properly orchestrated to calculate appropriate parameters and ensure that the proposed solution can meet the expected goals.

[0003] Therefore, it is urgent to develop a system to manage the correlation analysis of key characteristics of requirements, functions, logic, products and guarantees, and to be able to form an indicator parameter library, realize model-based indicator data correlation, and automatically extract, continuously detect and actively warn key data such as "key performance indicators-key performance parameters-system / equipment key design parameters-critical component characteristics-key process parameters-important guarantee indicators", identify relevant data in the business system, establish data extraction and correlation analysis interfaces, support key characteristic correlation services for requirements, functions, logic, products and guarantees, and realize effective analysis of indicator parameter data. Summary of the invention

[0004] In order to solve the above technical problems, the present invention proposes a meta-model-based technical indicator construction and management method and system. In order to achieve this goal, the system needs to adopt advanced digital clue association technology, such as a single authoritative source of truth that can quickly form a library of various system indicator models, and through the rapid reference of indicators, parameter-based product design, interface definition and management can be realized, and digital design, digital verification and confirmation of complex product development processes can be supported. In view of the large number of heterogeneous models and data generated in the process of complex product development, and the characteristics of parameter transmission throughout the product design activities, a digital main line based on parameter-based digital forward development process is adopted to define the system parameter model, realize penetrating interaction between tasks / processes / models / tools, and realize real-time collaboration among all participants in the development process; build an indicator parameter management and control system to realize parameter data for the entire life cycle of the system development process.

[0005] A method for constructing and managing technical indicators based on a metamodel includes the following steps:

[0006] Step 1: Define indicator metadata based on standard specifications, project experience, and historical data;

[0007] Step 2: Build a structured indicator template library based on product design requirements;

[0008] Step 3, refer to the indicator template library, define the indicators and their associations with the demand model, SysML model, geometric model, multi-physics model, simulation model and test data model, and form an indicator library;

[0009] Step 4, call the indicator suite and apply the indicator set to form multiple sets of indicator parameter solutions;

[0010] Step 5: Calculate and analyze the indicator parameters of different solutions to achieve a preliminary trade-off between solutions;

[0011] Step 6: Identify the associated indicator parameters according to the changed indicator parameters and provide a change prompt;

[0012] Step 7: Track, detect and warn the indicator parameters through calculation and analysis of the indicator parameters;

[0013] Step 8: Set indicator verification tasks according to the product development process, and manage the execution and results of the verification tasks.

[0014] A meta-model-based technical indicator construction and management system, including:

[0015] Metadata management module: defines indicator metadata based on standard specifications, project experience, and historical data; Indicator template library module: builds an indicator template library that can be displayed in a structured manner according to product design requirements;

[0016] Indicator library module: references the indicator template library, defines the relationship between indicators and demand models, SysML models, geometric models, multi-physics models, simulation models and test data, and forms an indicator library; forms multiple sets of indicator parameter solutions by adding indicator suites and applying indicator set functions; calculates and analyzes the indicator parameters of different solutions, so as to weigh different solutions; identifies related indicator parameters based on the changed indicator parameters, and provides change prompts; tracks, detects and warns indicator parameters through calculation and analysis of indicator parameters;

[0017] Indicator Verification Module: Set indicator verification tasks according to the product development process, and manage the execution status and results of the verification tasks.

[0018] Beneficial effects:

[0019] This method discusses a meta-model-based technical indicator construction and management method and system. By providing a complete, consistent, and unified model data storage framework, it realizes the consistency management, traceability management, and reusability management of indicators in product design, avoiding problems such as inaccurate transmission of indicators and parameters, inconsistent versions, low collaboration efficiency, and inability to achieve global correlation statistical analysis in the design of various parts of the product. This method quickly builds a product indicator model library in various fields based on the indicator metadata model, realizes the interaction between modeling and simulation tools and indicator management systems through MDK (Model Development Kits), and realizes the transmission and association of upstream and downstream parameters throughout the life cycle through OSLC (Open Services for Lifecycle Collaboration), covering business analysis, requirement definition, architecture design, product design, product manufacturing, test verification, and maintenance and other business domains in the process of model-based product development. Through this system, the indicator parameters of the product can be systematically managed, the indicators can be preliminarily analyzed and calculated, the impact of changes can be analyzed, and data support can be provided for system indicator optimization. The requirements of the domestic information and innovation environment were taken into consideration at the early stage of the design of the indicator management system. In terms of the system and related components, the requirements for independent control in multiple fields such as domestic servers, databases, middleware, and clients have been met to a great extent.

[0020] The system provided by the present invention adopts a microservice architecture, supports localization adaptation, can quickly build a product indicator model library in various fields based on the indicator metadata model, and can realize the full life cycle management of product indicators by integrating relevant technologies such as MDK and OSLC. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1It is an overall flow chart of a method for constructing and managing technical indicators based on a metamodel according to an embodiment of the present invention;

[0022] Figure 2 A schematic diagram of a metadata management interface according to an embodiment of the present invention;

[0023] Figure 3 A schematic diagram of an indicator template library interface of a meta-model-based technical indicator construction and management system according to an embodiment of the present invention;

[0024] Figure 4 A schematic diagram of external integration of a meta-model-based technical indicator construction and management system according to an embodiment of the present invention;

[0025] Figure 5 A schematic diagram of an indicator library interface of a meta-model-based technical indicator construction and management system according to an embodiment of the present invention;

[0026] Figure 6 A schematic diagram of an indicator calculation and analysis interface of a meta-model-based technical indicator construction and management system according to an embodiment of the present invention;

[0027] Figure 7 A schematic diagram of an indicator verification interface of a meta-model-based technical indicator construction and management system according to an embodiment of the present invention;

[0028] Figure 8 The present invention is a block diagram of the structural components of a meta-model-based technical indicator construction and management system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0029] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work belong to the protection scope of the present invention.

[0030] In order to make the purpose, technical solutions and advantages of the present invention more clear, the present invention is further described in detail below through specific implementations and in conjunction with the accompanying drawings.

[0031] Embodiment 1

[0032] like Figure 1 As shown, a method for constructing and managing technical indicators based on a metamodel provided by an embodiment of the present invention includes the following steps:

[0033] Step 1: Define indicator metadata based on standard specifications, project experience, and historical data; The metadata defines physical quantity units;

[0034] Step 2: Build a structured indicator template library based on product design requirements;

[0035] Step 3, refer to the indicator template library, define the indicators and their associations with the demand model, SysML model, geometric model, multi-physics model, simulation model and test data, and form an indicator library;

[0036] Step 4, call the indicator suite and apply the indicator set to form multiple sets of indicator parameter solutions;

[0037] Step 5: Calculate and analyze the indicator parameters of different solutions to achieve a preliminary trade-off between solutions;

[0038] Step 6: Identify the associated indicator parameters according to the changed indicator parameters and provide a change prompt;

[0039] Step 7: Track, detect and warn the indicator parameters through calculation and analysis of the indicator parameters;

[0040] Step 8: Set indicator verification tasks according to the product development process, and manage the execution and results of the verification tasks.

[0041] Specifically, in step 1, indicator metadata is defined based on standard specifications, project experience, and historical data, such as Figure 2 As shown, the metadata specifically includes:

[0042] Unit management: The system supports the maintenance of data units, including angle units (such as radians and degrees), length units (such as meters and kilometers), weight units (such as kilograms and tons), time units (such as seconds and minutes), etc., to meet the needs of different industries and scenarios.

[0043] Dimension management: The system can manage different dimensions of physical quantities to ensure that the correct dimensions are used in indicator definition and indicator analysis.

[0044] Metadata classification: The system provides a method to organize and classify the metadata of indicators, which can be classified by business field, data type or other logical methods to facilitate users to understand and find indicators.

[0045] Metadata import / export: The system allows users to import and export indicator metadata in common data formats (such as EXCEL, etc.), facilitating data migration and backup, and allowing users to easily create, update, edit and delete batch data, thereby greatly improving the efficiency and convenience of data processing.

[0046] Metadata definition: The system allows users to customize metadata fields, such as adding new data attributes or modifying existing attributes, to meet the needs of specific applications.

[0047] Permission management: The system provides fine-grained permission management capabilities to ensure that only authorized users can access and modify sensitive data.

[0048] User-friendly interface: The system provides an intuitive user interface, making it easy for non-technical users to perform data maintenance.

[0049] API support: The system provides an API interface that allows other applications or services to interact with the system to achieve automated data processing.

[0050] Audit log: The system records detailed logs of all data operations for easy tracking and auditing.

[0051] Specifically, the step 2 constructs a structured indicator template library according to the product design requirements, as shown in Figure 3, which specifically includes: based on the design phase of requirements, functions, logic, products and guarantees, the parameters, design indicators, technical indicators and other related contents are defined, and these data are quickly extracted and sorted through corresponding rules and algorithms to form an indicator template library to view and manage the indicator parameter data.

[0052] Specifically, step 2 may include:

[0053] Indicator template library: The system provides predefined indicator modules, and users can quickly create new indicators based on the templates in the indicator modules. According to the corresponding rules and certain business logic, the corresponding key characteristic data can be extracted from each business domain, such as parameters in the demand design stage, design indicators in the function / logic stage, technical indicators in the product design stage, etc., to achieve the function of obtaining indicator parameters in the design stage of demand, function, logic, product and guarantee fields; manage the indicators that need to be defined according to the classification of different levels of business, form an indicator template library, and view and manage the indicator parameter data in the system.

[0054] Indicator hierarchy management: The system supports users to create and manage a hierarchy of indicators for easy organization and navigation.

[0055] Indicator definition: The system supports indicator definition through two main lines:

[0056] First, the demand indicator identification is realized through a positive method, the demand indicator type attributes are defined, the value range of the demand indicator type attributes is defined, and the indicator association relationship is maintained.

[0057] Second, extract indicator objects from existing data, formalize indicator attributes, and maintain indicator associations.

[0058] Indicator attribute management: The system supports the management of indicator attributes, such as indicator name, description, person in charge, creation time, etc. It also supports custom attributes to meet specific business needs. Among them, the indicator attribute definition needs to reference the physical quantity unit defined in the indicator metadata to define the unit of the indicator parameter.

[0059] Indicator import / export: The system supports users to import and export indicator definitions for easy sharing and migration.

[0060] User rights management: The system provides control over different users’ access rights to indicator data and metadata to ensure data security. Figure 4 As shown, the system integrates MDK, OSLC and other related technologies to obtain model indicator data from various modeling tools and realize the full life cycle management of product indicator parameters.

[0061] Realize the interaction between modeling and simulation tools and indicator management systems through MDK: Since most modeling tools are deployed in a client-side manner, it is more convenient to read and process local program models and call API operations. Therefore, MDK plug-ins (Model Development Kits) are deployed on local modeling and simulation tool clients to process local program models. MDK serves as a bridge between modeling and simulation tools and the model collaboration platform, converting model elements into readable data (JSON).

[0062] The transmission and association of upstream and downstream parameters throughout the entire life cycle are achieved through OSLC: Open Services for Lifecycle Collaboration (OSLC) is an effective way to solve the integration of heterogeneous model tools. Its core mechanism is to regard the data generated in all tools as resources. This system assigns a fixed and unique URL address to each model data resource, and stipulates that each tool must provide a unified service access entry rootService. After accessing the entry, you can see the service provision directory.

[0063] Specifically, in step 3, the indicator template library is referenced to define the indicators and their associations with other models to form an indicator library, such as Figure 5 As shown, specifically including:

[0064] Based on the structured indicator template library, during the entire design life cycle and entire process, the corresponding parameters, design indicators, technical indicators and other related technical data defined in the design phase in the fields of requirements, functions, logic, products and guarantees, as well as their decomposition and refinement relationships, are used to form an indicator template library by constructing the association and traceability relationship between indicators. This supports designers in analyzing how the indicators of the previous level are satisfied by the indicators of the next level, or how the indicators of the next level support the realization of the indicators of the previous level.

[0065] Indicator association with demand model: The system supports users to associate demand models with specific indicators to ensure that indicators can reflect the degree of satisfaction of requirements. In the demand definition stage, users can reference indicator parameter objects to form indicator parameter requirements and track indicators through demand models to ensure consistency between indicators and business goals.

[0066] Indicators and SysML model association: The system allows users to associate indicators with elements in SysML models to support system-level analysis and decision-making. When the SysML modeling tool imports a requirement object, if the object has indicators, the indicators are converted into constraints or elements that can express the indicator content, so as to track and verify the indicators during system design and analysis.

[0067] Association between indicators and geometric models: The system supports the association between indicators and parameters in the geometric model in engineering design. Mechanical engineers carry out geometric modeling according to the required indicators and upload key parameters and indicators achieved after design to the management platform.

[0068] The product manager receives the indicators and key parameters of these designs and compares and analyzes them with the target values ​​set previously, thus achieving a closed-loop confirmation of product indicator planning, design, and comparison, so that product performance can be evaluated and optimized during the design phase.

[0069] Association of indicators with multi-physics models: The system supports associating indicators with multi-physics models (such as fluid mechanics, thermodynamics, etc.). Simulation engineers carry out multi-physics modeling based on the required indicators and geometric design parameters, and upload the key parameters and the numerical values ​​solved by the simulation model (the model obtained by multi-physics modeling) to the management platform. Product managers receive the indicators and key parameters of these designs, and compare and analyze them with the required indicators and geometric design parameters to achieve closed-loop confirmation of product indicator demand-design-simulation optimization, so as to carry out interdisciplinary analysis and optimization.

[0070] Association of indicators with simulation models and test data: The system supports the association of indicators with integrated simulation models and test data. An important purpose of simulation execution and test testing is to provide evidence that the designed product meets user needs and indicator requirements, achieves user expectations, and realizes continuous verification and confirmation of the product. The association of indicators with simulation models and test data is to meet the needs of more effective and efficient verification and confirmation of indicators. The association of indicators with simulation models and test data can ensure the design quality of products, improve product R&D efficiency, and enhance product competitiveness.

[0071] Specifically, the step 4, calling the indicator suite, applying the indicator set to form multiple sets of indicator parameter solutions, specifically includes:

[0072] Indicator suite: The system supports selecting a predefined set of indicator sets from the indicator library, namely the indicator suite, which is a subset of the indicator library. These indicators are usually used in specific business areas or management scenarios. The indicators in the indicator suite include key performance indicators, key performance parameters, system / equipment key design parameters, key component characteristics, key process parameters, important guarantee indicators, etc., which together constitute the key characteristic framework for product performance evaluation.

[0073] Indicator set: The system supports users to select and combine indicators from the existing indicator library to form a set of customized indicator sets as needed. Indicator object versions are created in batches at the current time point.

[0074] In order to improve the flexibility and adaptability of indicator management, it is necessary to quickly build and apply multiple sets of indicator parameter solutions according to different business needs, so as to effectively monitor, analyze and optimize indicators, so that products can respond to market changes and internal needs more agilely. The indicator suite can help enterprises quickly deploy and apply a set of standardized indicators to facilitate monitoring and analysis of business performance. The indicator set function allows users to flexibly create multiple sets of indicator parameter solutions according to different business goals, strategies or project requirements. Each set of solutions contains a series of indicators that work together to achieve specific business goals, such as improving product performance, optimizing production efficiency, and meeting component selection.

[0075] Specifically, in step 5, the parameters of the indicators of different solutions are calculated and analyzed to achieve a preliminary trade-off of the solutions, such as Figure 6 As shown, specifically including:

[0076] Real-time calculation: The system has commonly used calculation functions and complex statistical analysis functions. When the current parameter changes, the parameters associated with it will be updated immediately.

[0077] Multi-dimensional analysis: The system supports users to analyze and view indicators from different dimensions (such as depth, breadth, etc.) based on the correlation between indicators.

[0078] Solution trade-off: The system supports users to conduct trade-off analysis on the correctness and feasibility of solutions based on different business goals through correlation traceability analysis.

[0079] Through this step, the correlation between indicators is utilized to conduct in-depth calculation and analysis of relevant indicators of different options during the option weighing process, so as to make option selection and resource allocation more scientific, thereby improving the objectivity and effectiveness of decision-making.

[0080] Different plans will have a series of related indicator parameters, which are key data points used to measure the effectiveness of plan execution. Due to limited resources, it is usually impossible to implement all plans at the same time, so it is necessary to decide which indicator plans are the best based on the results of calculation and analysis. Decision makers need to weigh these plans based on business goals, risk preferences, resource conditions, etc., and choose the most appropriate plan to implement.

[0081] Specifically, the step 6, identifying the associated indicator parameters according to the changed indicator parameters, and providing a change prompt, specifically includes:

[0082] Identify affected indicators: When the business logic or data source of an indicator changes, the system change impact analysis function can help quickly identify which indicators will be affected.

[0083] Analyze the impact of changes: The system can evaluate the impact of changes on existing business processes and decision support systems, including the potential impact on business domains such as product goals, demand models, functional logic models, geometric models, simulation models, product data management, and provide prompts.

[0084] Tracking the relationship between indicators: The system has the function of tracing the source of indicators, including data sources, calculation logic and dependencies, so that the entire impact chain can be traced when changes occur.

[0085] Change Management: The system provides a change request management process, including approval, implementation, and monitoring of the impact of changes.

[0086] Version management: The system supports tracking and controlling the change history of indicators, and has functions such as historical version tracking, version comparison, and version rollback to ensure the accuracy and consistency of indicators while improving the efficiency of data management and analysis.

[0087] The indicator characteristics are a process of continuous decomposition and realization. When the characteristic indicators of any node change, it may cause changes in other indicators in the entire process or have corresponding impacts. Through the indicator management system, the changed characteristic indicators can be quickly identified and prompted based on the correlation between the indicators.

[0088] Based on the correlation between indicator characteristics, when a characteristic indicator changes, the characteristic indicators with correlation between the upper and lower layers can be automatically identified and screened, and the indicator parameter correlation impact analysis function based on the correlation of model data can be realized. When the characteristic parameters at any level change, the system can automatically warn the related indicators and analyze the impact of the change on other indicators. It can identify the related parameter indicators affected by it and provide prompts.

[0089] Specifically, the step 7, tracking, detecting and warning the indicator parameters through calculation and analysis of the indicators, specifically includes:

[0090] Indicator tracking: The system supports real-time tracking of indicator parameters for the entire process, ensuring that any changes in key indicators can be detected immediately.

[0091] Indicator detection: The system supports analyzing historical data through machine learning to predict the changing trends of indicator parameters, thereby issuing warnings when abnormal conditions in indicator parameters are detected.

[0092] Indicator warning: The system supports issuing warning notifications through multiple channels, including push notifications, red highlight displays, etc.

[0093] Based on the correlation between the characteristics of relevant indicators and combined with the characteristics of indicators, since indicators are mainly based on parameters and calculable data, in the process of continuously improving the decomposition and refinement of top-level indicators during the design process, the indicator management system can be used to track, detect and warn indicator data.

[0094] Through the calculation and analysis of indicators, the tracking and detection functions of indicator data are realized, which is convenient for designers to have a good control and attention to the design status of relevant indicators. At the same time, when an indicator exceeds the corresponding range during the design process, corresponding warnings and prompts can be given, thereby realizing the indicator parameter monitoring and early warning function based on the correlation of model data, and supporting continuous tracking, monitoring and active early warning of indicator parameter data for the entire process.

[0095] Specifically, in step 8, indicator verification tasks are set according to the product development process, and the execution and results of the verification tasks are managed, such as Figure 7 As shown, specifically including:

[0096] Indicator-verified task management: The system supports task management to clearly assign responsibilities, priorities, and deadlines, reduce confusion and omissions, and promote team collaboration and communication, so that resources can be used more effectively, ultimately achieving the goal of improving project success rates and meeting business goals.

[0097] Indicator verification process management: The system supports the management of the entire life cycle of indicators from definition to application, including the creation, approval, release, monitoring and offline of indicators. Through indicator verification process management, the standardization and timely update of indicators can be ensured.

[0098] The indicator management system supports indicator task definition, decomposition, tracking and approval functions. A test verification form can be initiated to associate product requirements, indicators, test cases, simulations, test results and intermediate process data.

[0099] The test team leader formulates a test plan, associates the verification requirements, indicator parameters, and verification models, writes the test execution steps, creates the verification tasks, and the simulation engineer obtains the tasks, prepares the test data model, executes the simulation, views the results, updates the parameter status, updates the requirement verification status, creates a version after passing, and initiates the parameter adjustment change process if failing.

[0100] Embodiment 2

[0101] like Figure 8 As shown, the present invention provides a meta-model-based technical indicator construction and management system, including the following modules:

[0102] Metadata management module: defines indicator metadata based on standard specifications, project experience, and historical data;

[0103] Indicator template library module: builds an indicator template library that can be displayed in a structured manner according to product design requirements;

[0104] Indicator library module: references the indicator template library, defines the relationship between indicators and demand models, SysML models, geometric models, multi-physics models, simulation models and test data, and forms an indicator library; forms multiple sets of indicator parameter solutions by adding indicator suites and applying indicator set functions; calculates and analyzes the indicator parameters of different solutions, so as to weigh different solutions; identifies related indicator parameters based on the changed indicator parameters, and provides change prompts; tracks, detects and warns indicator parameters through calculation and analysis of indicator parameters;

[0105] Indicator Verification Module: Set indicator verification tasks according to the product development process, and manage the execution status and results of the verification tasks.

[0106] Although the above describes the illustrative specific embodiments of the present invention to facilitate those skilled in the art to understand the present invention, and it should be clear that the present invention is not limited to the scope of the specific embodiments, for those of ordinary skill in the art, as long as various changes are within the spirit and scope of the present invention as defined and determined by the attached claims, these changes are obvious, and all inventions and creations using the concept of the present invention are protected.

Claims

1. A method for constructing and managing technical indicators based on a metamodel, characterized in that: The steps include: Step 1: Define indicator metadata based on standard specifications, project experience, and historical data; Step 2: Build a structured indicator template library based on product design requirements; Step 3, refer to the indicator template library, define the indicators and their associations with the demand model, SysML model, geometric model, multi-physics model, simulation model and test data model, and form an indicator library; Step 4, call the indicator suite and apply the indicator set to form multiple sets of indicator parameter solutions; Step 5: Calculate and analyze the indicator parameters of different solutions to achieve a preliminary trade-off between solutions; Step 6: Identify the associated indicator parameters according to the changed indicator parameters and provide a change prompt; Step 7: Track, detect and warn the indicator parameters through calculation and analysis of the indicator parameters; Step 8: Set indicator verification tasks according to the product development process, and manage the execution and results of the verification tasks.

2. According to the meta-model-based technical indicator construction and management method of claim 1, it is characterized in that: Step 1, defining indicator metadata based on standard specifications, project experience, and historical data, includes: Maintain metadata, including metadata type management, unit management, dimension management, and permission management; support EXCEL import function to simplify the data entry process.

3. According to the meta-model-based technical indicator construction and management method of claim 1, it is characterized in that: The step 2 is to build a structured indicator template library according to product design requirements, including: Based on the defined parameters, design indicators and technical indicators based on requirements, functions, logic, products and guarantees, these data are quickly extracted and organized through corresponding rules and algorithms, and the physical quantity units defined by metadata are applied to form an indicator template library, which facilitates the viewing and management of indicator parameter data.

4. According to the meta-model-based technical indicator construction and management method of claim 1, it is characterized in that: The step 3 refers to the indicator template library, defines the indicators and their associations with the demand model, SysML model, geometric model, multi-physics model, simulation model and test data, and forms an indicator library, including: Define the relationship between indicators and demand models: reference indicator parameter objects, form indicator parameter requirements, and track indicators through demand models; Define the relationship between indicators and SysML models: Associate indicators with elements in SysML models to support system-level analysis and decision making; Define the relationship between indicators and geometric models: associate indicators with parameters in the geometric model in engineering design to facilitate geometric modeling according to the required indicators, and upload key parameters and indicators achieved after design to the management platform; Define the relationship between indicators and multi-physics models: Associating indicators with multi-physics models, simulation engineers carry out multi-physics modeling according to the required indicators and geometric design parameters, and upload key parameters and numerical values ​​solved by simulation models to the management platform; Define the relationship between indicators and simulation models and test data: Associate indicators with integrated simulation models and test data to provide evidence that the designed product meets user needs and indicator requirements, and achieve continuous verification and validation of the product.

5. According to the meta-model-based technical indicator construction and management method of claim 1, it is characterized in that: In step 4, the indicator suite is called and the indicator set is applied to form multiple sets of indicator parameter solutions, wherein: An indicator set refers to a set of customized indicator sets formed by users selecting and combining indicators from the existing indicator library according to their needs; An indicator suite refers to a predefined set of indicators used in specific business areas or management scenarios. The indicators in the indicator suite include key performance indicators, key performance parameters, key design parameters of systems or equipment, key component characteristics, key process parameters, important assurance indicators, etc., which together constitute the key characteristic framework for product performance evaluation.

6. According to the meta-model-based technical indicator construction and management method of claim 1, it is characterized in that: In step 5, the parameters of the indicators of different solutions are calculated and analyzed to achieve a preliminary weighing of the solutions, wherein the calculation refers to real-time calculation: once the indicator enters the system, the indicator value can be updated immediately; the analysis refers to multi-dimensional analysis: according to the correlation between the indicators, the indicators are analyzed and viewed from different dimensions; the preliminary weighing of the solutions refers to: according to different business goals, through correlation tracing analysis, the correctness and feasibility of the solutions are weighed and analyzed.

7. According to the meta-model-based technical indicator construction and management method of claim 1, it is characterized in that: The step 6, identifying the associated indicator parameters according to the changed indicator parameters, and providing a change prompt, includes: Evaluate the impact of changes on existing business processes and decision support systems, including potential impacts on product goals, demand models, functional logic models, geometric models, simulation models, and product data management, and provide prompts; Trace the source of indicators, including data sources, calculation logic, and dependencies, so that the entire impact chain can be traced when changes occur; Provide a change request management process, including approval, implementation and monitoring of the impact of changes; It supports tracking and controlling the change history of indicators, and has the functions of historical version tracking, version comparison, and version rollback.

8. The method for constructing and managing technical indicators based on a metamodel according to claim 1, characterized in that: The step 7, tracking, detecting and warning the indicator parameters through calculation and analysis of the indicator parameters, includes: Indicator tracking: supports real-time tracking of indicator parameters for the entire process; Indicator detection: supports analyzing historical data through machine learning to predict the changing trend of indicator parameters, so as to issue warnings when abnormal conditions of indicator parameters are detected; Indicator warning: supports issuing warning notifications through multiple channels, including push notifications and red highlighting.

9. The method for constructing and managing technical indicators based on a metamodel according to claim 1, characterized in that: Step 8, setting indicator verification tasks according to the product development process, and managing the execution and results of the verification tasks, including: Metrics validation Task management: through task management, assign responsibilities, priorities and deadlines; Indicator verification process management: manage the entire life cycle of indicators from definition to application, including the creation, approval, release, monitoring and offline of indicators.

10. A meta-model-based technical indicator construction and management system, characterized in that: include: Metadata management module: defines indicator metadata based on standard specifications, project experience, and historical data; indicator template library module: builds an indicator template library that can be displayed in a structured manner according to product design requirements; Indicator library module: references the indicator template library, defines the relationship between indicators and demand models, SysML models, geometric models, multi-physics models, simulation models and test data, and forms an indicator library; forms multiple sets of indicator parameter solutions by adding indicator suites and applying indicator set functions; calculates and analyzes the indicator parameters of different solutions, so as to weigh different solutions; According to the changed indicator parameters, identify the related indicator parameters and provide change prompts; Through the calculation and analysis of indicator parameters, the indicator parameters can be tracked, detected and warned; Indicator Verification Module: Set indicator verification tasks according to the product development process, and manage the execution status and results of the verification tasks.

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