Metallurgy material research and development project digital management system

Abstract

The invention relates to the technical field of research and development project management, in particular to a metallurgical material research and development project digital management system which comprises a project experiment module, a template center module, an analysis center module and a system management module. The project experiment module is used for carrying out work flows of prototype product design, product authentication detection, product quality improvement, product big data benchmarking, process research and development entrustment, and technology development and technology cooperation according to research and development project types; the template center module is used for defining a data recording item and a data type through a template, standardizing a data recording standard and supporting data storage of the steel grade analysis center module; the analysis center module is used for centralized management and application analysis of data; the system management module is used by a system administrator for subject management, user management, role management, security audit and data recovery; the whole process of the metallurgical material research and development project is digitally and accurately managed, so that the research and development efficiency is improved, the cost is reduced, and the material performance is improved.

Description

Technical Field

[0001] This invention relates to the field of R&D project management technology, and in particular to a digital management system for metallurgical material R&D projects. Background Technology

[0002] As a crucial pillar of traditional manufacturing, the steel industry has long faced numerous challenges, including cost control, product quality improvement, and market responsiveness. Driven by the global digital wave, digital R&D is becoming a key pathway for steel companies to enhance their core competitiveness. With the continuous maturation of emerging technologies such as big data, artificial intelligence, and the Internet of Things, the steel industry's R&D processes, from experimental design and data collection and analysis to product innovation, are experiencing opportunities for digital transformation. Through digital means, steel companies can more efficiently integrate R&D resources, accelerate product development cycles, improve R&D success rates, and meet market demands for high-performance, customized steel products.

[0003] In recent years, China's steel industry has been carrying out digital transformation. In terms of data governance, digitalization and intelligent application technologies, most steel companies' digital projects have begun to have some effect, but digital research and development and efficient use of data are still in the exploratory stage.

[0004] Traditional metallurgical materials research and development models involve cumbersome processes, encompassing multiple stages of testing and optimization from ore beneficiation and metal refining to product processing. These processes are lengthy, inefficient in data utilization, and fail to deeply mine a large amount of production and R&D data, making it difficult to effectively support innovative decision-making. This invention digitizes the entire materials R&D project process from initiation to completion. It fully utilizes digital technology to comprehensively manage and apply the R&D process, data, and models, thereby improving R&D efficiency, reducing costs, and enhancing material performance.

[0005] Chinese patent CN118172024B discloses a digital management method and system for land engineering projects, including the following steps: acquiring multimodal information data of land engineering projects and performing dynamic process digital description analysis based on the multimodal information data to obtain dynamic process digital description data of land engineering projects; performing keyword extraction processing and project importance and complexity assessment analysis on the dynamic process digital description data of land engineering projects to obtain land engineering project importance data and land engineering project complexity data; performing project classification processing based on the land engineering project importance data and land engineering project complexity data to obtain land engineering digital project classification results; and performing differentiated management processing on the land engineering digital project classification results to obtain differentiated management results for land engineering classified projects. However, this patent is aimed at the field of land engineering, and its process and method are completely unsuitable for materials and metallurgical engineering projects.

[0006] Chinese patent CN117853052A discloses a research and development project management system and method, including a project initiation module for determining whether an enterprise meets project standards; a project team establishment module composed of a research and development organization management module and a scientific and technological personnel allocation management module, wherein the research and development organization management module manages project establishment documents and the scientific and technological personnel allocation management module manages the organizational structure; a project research and development implementation module for collecting research and development expenses and managing project research and development activities; a project summary and acceptance module for collecting project research and development documents; an intellectual property and achievement transformation module for collecting the content of each stage of intellectual property and achievement transformation; an annual research and development funding management module for managing the financial expenses of technology-based enterprises; and an annual project summary module for providing a summary table of the operation of technology-based enterprises. However, this patent mainly focuses on managing the project initiation process and cannot solve the detailed digital management processes of metallurgical materials, such as experimental processes, data analysis, and template management, as described in this application. Summary of the Invention

[0007] This invention provides a digital management system for metallurgical material research and development projects, which enables precise digital management of the entire process of metallurgical material research and development projects, from scientific research initiation and research and development to project acceptance, thereby improving research and development efficiency, reducing costs, and improving material performance.

[0008] To achieve the above objectives, the present invention employs the following technical solution:

[0009] A digital management system for metallurgical materials research and development projects includes a project experiment module, a template center module, an analysis center module, and a system management module;

[0010] The project's experimental module includes a project information submodule, a component design submodule, an integrated calculation submodule, a high-throughput testing submodule, a physicochemical testing submodule, a service performance submodule, a result judgment submodule, an industrial production submodule, and an intellectual property submodule. It is used to conduct workflows for prototype product design, product certification and testing, product quality improvement, product big data benchmarking, process R&D commissioning, technology development, and technology cooperation according to the type of R&D project.

[0011] The template center module includes a form template submodule, a data template submodule, and a template management submodule. It is used to define data record items, data types, data lengths, data ranges, and data descriptions through templates, standardize data recording standards, and support data entry into the analysis center module.

[0012] The analysis center module is used for centralized management and application analysis of data, including data management, data statistics and data analysis;

[0013] The system management module is used by system administrators to manage topics, users, roles, perform security audits, and reclaim data.

[0014] Furthermore, the working process of the project's experimental module includes the following:

[0015] (1) Create experimental topics in the system management module. When creating a project in the project center, the project is created by selecting a topic. The project research and development process records data from the project information submodule, composition design submodule, integrated calculation submodule, high-throughput test submodule, physicochemical testing submodule, service performance submodule, result judgment submodule, industrial production submodule and intellectual property submodule.

[0016] (2) Use the project’s workflows to store and organize data so that all project members can share and access project experimental data and basic information in real time.

[0017] Furthermore, in the template center module, the form template submodule is used to specify the standards for data entry;

[0018] The data template submodule is used by users to fill in, collect, and manage various data resources of the enterprise, including literature, patents, experimental and testing data. It provides the function of self-configuration of data templates, and the data module submodule is composed of multiple form templates for data entry.

[0019] The template management submodule includes importing templates, exporting templates, control management, and plugin management.

[0020] Furthermore, in the template management submodule, the import module supports importing templates from data files. By importing templates, the data in the files is parsed and stored in the corresponding templates.

[0021] The export template supports exporting data from the steel grade analysis center module in a custom format. The export template only supports exporting as a Word document, and export templates can be configured separately for form templates and data templates.

[0022] In the control management, controls are the smallest unit of form templates and data templates. Data structures with the same data characteristics and business significance are encapsulated into controls, data naming is standardized, and preset controls can be directly selected when designing templates.

[0023] The plugin management system extends the system's supported import data file formats and content through plugins, supports file parsing, and allows plugins to be uploaded, installed, updated, disabled, and uninstalled.

[0024] Furthermore, in the analysis center module, all users can access the analysis center module, but the databases and data volume statistics they can view are different, and different role users in the data list are set with corresponding different role permissions.

[0025] The data statistics in the analysis center module use the data in the steel grade analysis center module data table as the data source, select indicators from the data source, and perform data statistics. The statistical types include bar charts, bar graphs, pie charts, and numerical values. The data analysis uses the data in the steel grade analysis center module data table as the data source, selects indicators from the data source, analyzes the data characteristics from different dimensions, and presents the data analysis results in various chart types.

[0026] Furthermore, in the system management module, the project management module imports various R&D projects assigned by the company into this system, including project name, project number, project initiation time, project completion time, project leader, project status information and data, for use when creating new R&D projects;

[0027] The user management system is used to view all system user information, allows users to switch departments to view users under the corresponding department, and supports searching for users by name.

[0028] The role management is used to classify and manage users with similar permissions. The concept of a role is defined as a set of access permissions. When it is necessary to grant the same permissions to a group of users, roles are used for authorization.

[0029] The security audit is used by information security auditors to review and supervise data addition, deletion, modification, and query records, as well as to judge the rationality of user authorizations. It includes data audit, authorization audit, and log audit. The data audit records all user data additions, deletions, modifications, and views in the steel grade analysis center module. The log audit list records user views and export records of the data audit list and authorization audit list. The authorization audit list displays all authorization records and permission records in the system.

[0030] The data recycling feature ensures that all deleted data is temporarily stored in the system's data recycling bin. Users with system management privileges can access the system's data recycling bin to restore or delete data.

[0031] Compared with the prior art, the beneficial effects of the present invention are:

[0032] 1) It enables differentiated development of R&D projects according to categories; This invention constructs a digital platform system for metallurgical materials R&D. This system integrates a project experiment module, a template center module, an analysis center module, and a system management module. By integrating the project experiment module, it constructs a core system of "sub-project feature matching - modular management adaptation". It achieves a dual improvement in management precision and R&D efficiency for the differentiated needs of six sub-projects in the field of metallurgical materials R&D: prototype product design, product certification and testing, product quality improvement, product big data benchmarking, process R&D commissioning, and technology development and technology cooperation. Prototype product design: It associates the system's built-in material database (covering physical and chemical properties, material characterization, performance parameters, etc.) with the process route. After the project starts, the target product performance parameters (tensile strength, yield strength, elongation, etc.) are set. The material composition ratio and process route are quickly adjusted through the composition fine-tuning-simulation verification function. The system automatically calls the simulation calculation sub-module in the project experiment module to perform simulation calculations and output the results, quickly converges the composition system and process route of product development, and sequentially conducts high-throughput tests, intermediate tests, and physicochemical tests to reduce trial and error costs.

[0033] Product certification testing: The system has a pre-set library of mainstream domestic and international material certification standards (ISO, ASTM, GB, etc.). After the project is launched, the certification system is set up. The system automatically matches the full process requirements of the corresponding certification system, recommends the product certification process and performs characterization and performance verification. It collects the material composition declarations and test reports generated during the product certification process and intelligently verifies whether the certification materials are compliant and complete, effectively avoiding certification failure due to process omissions.

[0034] Product Quality Improvement: Targeted improvements are made to defects in mass-produced products (insufficient strength, substandard stability, etc.). A closed-loop management system for quality improvement is achieved through "problem tracing - solution verification". The problem tracing function integrates various production process parameters (temperature, pressure, etc.) as inputs to call the module's built-in algorithm to locate the core causes of quality defects. Based on the target performance, the solution verification sub-function calls the integrated calculation module within the system to simulate the production process and quality results, compare and select the optimal solution. After the solution is implemented, the system's project experiment module is called to carry out product development, continuously track production data and finished product quality, verify the improvement effect and stability, and shorten the quality defect resolution cycle.

[0035] Product Big Data Benchmarking: Accurately analyze competitor advantages and transform benchmarking indicators into actionable R&D goals. The competitor analysis sub-function automatically identifies core performance indicators (tensile strength, yield strength, elongation, etc.) of competitors by uploading test reports of competitor samples and publishing technical documents, and breaks them down into project R&D goals. It then calls the system's project experiment module to carry out product development, avoiding misallocation of R&D resources caused by ambiguous benchmarking.

[0036] Process R&D commissioned: Based on material property data and all calculation and experimental data accumulated in the system, a "process parameter-product quality" model was constructed. The process model was iteratively optimized to achieve optimal matching of process parameters and risk control while ensuring product quality.

[0037] Technology Development and Technology: The uploaded cooperation agreement clearly defines the rights and responsibilities matrix of "technology research and development - sample preparation - data sharing - achievement transformation", and calls the project experimental module based on the project objectives to carry out product development;

[0038] 2) This invention enables digital management and analysis of process data in R&D projects, providing data accumulation and support for subsequent scientific research projects. Based on preset process templates corresponding to task files, it records project information and data from the entire material R&D process, driving business operations to flow and collect R&D data according to a fixed set process. This significantly reduces design costs and ensures the accuracy of business execution. The analysis center, built upon continuously iterating metallurgical material R&D data, makes explicit the implicit patterns integrated in the R&D process, and through historical data modeling, it identifies effective material R&D directions in advance.

[0039] 3) Reduce R&D costs, shorten R&D cycles, and improve R&D quality; The platform system of this invention will realize the accumulation and management of metallurgical materials database, carry out low-cost multi-scale simulation calculations through project management and preset management centers and data analysis centers, and collect data of the entire life cycle of metallurgical materials R&D. The platform solves the problems of data processing, management and efficiency for researchers, simplifies the repetitive and cumbersome workflow of metallurgical materials R&D into workflow templates, improves research efficiency and reduces R&D costs through the platform. Attached Figure Description

[0040] Figure 1 This is a schematic diagram of the structure of the digital management system for metallurgical material research and development projects described in this invention. Detailed Implementation

[0041] The specific embodiments of the present invention will be further described below with reference to the accompanying drawings:

[0042] See Figure 1 This is a schematic diagram of the structure of the present invention. The present invention is a digital management system for metallurgical material research and development projects, including a project experiment module, a template center module, an analysis center module, and a system management module.

[0043] The project's experimental module comprises nine sub-modules: project information, component design, integrated calculation, high-throughput testing, physicochemical testing, service performance, result judgment, industrial production, and intellectual property. It is structured according to R&D project type, divided into six sub-workflows: prototype product design, product certification and testing, product quality improvement, product big data benchmarking, process R&D commissioning, and technology development and cooperation. To ensure comprehensive preservation and effective management of project experimental information within each workflow, experimental topics are first created in the system management module. When creating a project in the project center, users can select a topic to create a new project. Users can only select topics they are responsible for from the system management module. The project's R&D process is recorded. The system records data from nine sub-modules: project information, component design, integrated calculation, high-throughput testing, physicochemical testing, service performance, result determination, industrial production, and intellectual property. Secondly, it utilizes various project workflows to store and organize data, enabling all team members to access project experimental data and basic information in real time. This not only improves data traceability and transparency but also reduces the risk of data loss. Furthermore, it establishes standard operating procedures for different experimental projects to ensure consistency and reproducibility. Finally, it establishes project experimental management measures to efficiently manage experimental information, promote team collaboration, ensure the project progresses according to plan, and provide solid data support for future research.

[0044] In each workflow, project information records the project overview. Basic information is brought in by the project management system, while standards, product types, steel grades, steel classes, service environments, application fields, process paths, and performance indicators need to be manually maintained. Users design composition systems and initiate corresponding integrated calculation processes, high-throughput experiments, and physicochemical tests. Calculation and experimental results are returned to the composition system. Service performance and result judgment compare and analyze experimental results with basic project data and provide corresponding conclusions. Industrial production involves collecting process data from large-scale production into the system for researchers to analyze, identify key factors affecting production efficiency and product quality, optimize process parameters and production processes, and improve production efficiency and product quality. Intellectual property rights are uniformly stored for patents, software copyrights, papers, proprietary technologies, etc., generated by the project, making them easy for users to find.

[0045] The template center module is the foundation of data storage. Templates define data record items and data types, standardizing data recording and supporting data entry into the steel grade analysis center module. This module is divided into three sub-modules: form templates, data templates, and template management. Form templates define data entry standards. Many data entry scenarios exist in daily life, such as R&D process parameter record sheets, which typically specify required information items and formats. These can be defined using form templates. Users can use form templates to categorize, create, design, manage, copy, edit, and delete forms. Data templates meet users' needs for filling in, collecting, and managing various enterprise data resources, such as literature, patents, experimental data, and testing data. The system provides a self-configuration function for data templates. Data templates are also used for data entry, but they are more complex and comprehensive than form templates, and can be composed of multiple form templates. Data templates include managing template categories, creating, designing, and defining data titles, data template processes, copying, editing, and deleting data templates. Template management includes importing, exporting, controlling, and managing plugins. The system comprises four main functions: Import Templates, which supports importing templates from data files; and Export Templates, which allows data to be parsed and stored in the corresponding templates, significantly improving data entry efficiency. Export Templates allow exporting data from the Steel Grade Analysis Center module in a custom format, currently only supporting Word document export. Export templates can be configured separately for form templates and data templates. Controls are the smallest unit of form and data templates, encapsulating data structures with similar data characteristics (type, behavior, appearance) and business significance. This standardizes data naming and allows for direct selection of preset controls during template design, saving time and reducing repetitive operations. Plugins are collections of customized parsing code developed based on user-provided non-standard data files or standard files exported from specific devices. Plugin management supports flexible expansion of the system's supported import data file formats and content through custom plugin development, supporting file parsing, plugin upload, installation, update, deactivation, and uninstallation. Template Management includes functions for creating import / export templates, configuring import / export templates, applying import / export templates, import / export template operations, control categorization, creating new controls, editing controls, deleting controls, and installing, updating, deactivating, and uninstalling plugins.

[0046] The analysis center module enables centralized management and application analysis of data. Its functions include data management, data statistics, and data analysis. All users can access the steel grade analysis center module, but the databases and data volumes they can view differ. Users with different roles and permissions within the data list can see different data; administrators can see all data, while ordinary users can only see data within their own permission scope. Data statistics use data from the steel grade analysis center module's data tables as the data source, selecting indicators from the data source to perform data statistics. Statistical types include bar charts, column charts, pie charts, and numerical values. Data analysis uses data from the steel grade analysis center module's data tables as the data source, selecting indicators from the data source to analyze data characteristics from different dimensions, presenting the data analysis results in various chart types.

[0047] In data management, users can create, edit, and delete databases, and import and export data; in the data statistics center, they can build statistical models and perform model operations; and in the data analysis center, they can build analytical models, create graphing rules, and perform model operations.

[0048] The system management module includes four functions: project management, user management, role management, security audit, and data recycle bin. This module is operated by the system administrator and has functions for maintaining project information, including entering and modifying project information; querying user information; assigning user roles; viewing security audit records; and restoring and deleting data. Project management imports various R&D projects assigned by the company into this system, including project name, project number, project initiation time, project completion time, project leader, project status, etc., for use when creating new R&D projects. User management allows viewing all system user information, switching departments to view users under a specific department, and searching for users by name. Role management is for classifying and managing users with similar permissions by defining the concept of roles, where a role is a set of access permissions. Permissions are set up so that when a group of users needs to be granted the same permissions, roles can be used for authorization. Role-based authorization can greatly simplify the authorization process and reduce authorization management costs. Security auditing allows information security auditors to review and supervise data addition, deletion, modification, and query records, as well as whether user authorizations are reasonable. It is divided into data auditing, authorization auditing, and log auditing. Data auditing records all users' addition, deletion, modification, and viewing records of data in the steel grade analysis center module. The log auditing list records users' viewing and exporting records of the data auditing list and the authorization auditing list. The authorization auditing list displays all authorization records in the system, showing who granted which permissions to which users. All deleted data in this system will be temporarily stored in the system data recycle bin. Users with system management privileges can access the system data recycle bin to perform operations such as restoring and deleting data.

[0049] The above embodiments are implemented based on the technical solution of the present invention, providing detailed implementation methods and specific operation processes. However, the scope of protection of the present invention is not limited to the above embodiments. Unless otherwise specified, the methods used in the above embodiments are conventional methods.

Claims

1. A digital management system for metallurgical materials research and development projects, characterized in that, It includes a project experiment module, a template center module, an analysis center module, and a system management module; The project's experimental module includes a project information submodule, a component design submodule, an integrated calculation submodule, a high-throughput testing submodule, a physicochemical testing submodule, a service performance submodule, a result judgment submodule, an industrial production submodule, and an intellectual property submodule. It is used to conduct workflows for prototype product design, product certification and testing, product quality improvement, product big data benchmarking, process R&D commissioning, technology development, and technology cooperation according to the type of R&D project. The template center module includes a form template submodule, a data template submodule, and a template management submodule. It is used to define data record items, data types, data lengths, data ranges, and data descriptions through templates, standardize data recording standards, and support data entry into the analysis center module. The analysis center module is used for centralized management and application analysis of data, including data management, data statistics and data analysis; The system management module is used by system administrators to manage topics, users, roles, perform security audits, and reclaim data.

2. The digital management system for metallurgical material research and development projects according to claim 1, characterized in that, The working process of the project's experimental module includes the following: (1) Create experimental topics in the system management module. When creating a project in the project center, the project is created by selecting a topic. The project research and development process records data from the project information submodule, composition design submodule, integrated calculation submodule, high-throughput test submodule, physicochemical testing submodule, service performance submodule, result judgment submodule, industrial production submodule and intellectual property submodule. (2) Use the project’s workflows to store and organize data so that all project members can share and access project experimental data and basic information in real time.

3. The digital management system for metallurgical material research and development projects according to claim 1, characterized in that, In the template center module, the form template submodule is used to specify the standards for data entry; The data template submodule is used by users to fill in, collect, and manage various data resources of the enterprise, including literature, patents, experimental and testing data. It provides the function of self-configuration of data templates, and the data module submodule is composed of multiple form templates for data entry. The template management submodule includes importing templates, exporting templates, control management, and plugin management.

4. The digital management system for metallurgical material research and development projects according to claim 3, characterized in that, In the template management submodule, the import module supports importing templates from data files. By importing templates, the data in the files is parsed and stored in the corresponding templates. The export template supports exporting data from the steel grade analysis center module in a custom format. The export template only supports exporting as a Word document, and export templates can be configured separately for form templates and data templates. In the control management, controls are the smallest unit of form templates and data templates. Data structures with the same data characteristics and business significance are encapsulated into controls, data naming is standardized, and preset controls can be directly selected when designing templates. The plugin management system extends the system's supported import data file formats and content through plugins, supports file parsing, and allows plugins to be uploaded, installed, updated, disabled, and uninstalled.

5. The digital management system for metallurgical material research and development projects according to claim 1, characterized in that, In the analysis center module, all users can access the analysis center module, but the databases and data volume statistics they can view are different, and different role users in the data list are set with different role permissions. The data statistics in the analysis center module use the data in the steel grade analysis center module data table as the data source, select indicators from the data source, and perform data statistics. The statistical types include bar charts, bar graphs, pie charts, and numerical values. The data analysis uses the data in the steel grade analysis center module data table as the data source, selects indicators from the data source, analyzes the data characteristics from different dimensions, and presents the data analysis results in various chart types.

6. The digital management system for metallurgical material research and development projects according to claim 1, characterized in that, In the system management module, the project management module imports various R&D projects assigned by the company into the system, including project name, project number, project initiation time, project completion time, project leader, project status information and data, for use when creating new R&D projects; The user management system is used to view all system user information, allows users to switch departments to view users under the corresponding department, and supports searching for users by name. The role management is used to classify and manage users with similar permissions. The concept of a role is defined as a set of access permissions. When it is necessary to grant the same permissions to a group of users, roles are used for authorization. The security audit is used by information security auditors to review and supervise data addition, deletion, modification, and query records, as well as to judge the rationality of user authorizations. It includes data audit, authorization audit, and log audit. The data audit records all user additions, deletions, modifications, and views of data in the analysis center module. The log audit list records user views and export records of the data audit list and the authorization audit list. The authorization audit list displays all authorization records and permission records in the system. The data recycling feature ensures that all deleted data is temporarily stored in the system's data recycling bin. Users with system management privileges can access the system's data recycling bin to restore or delete data.

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