CN114416058A - Cloud model storage method and system suitable for engineering machinery industry modeling language - Google Patents
Cloud model storage method and system suitable for engineering machinery industry modeling language Download PDFInfo
- Publication number
- CN114416058A CN114416058A CN202210072194.0A CN202210072194A CN114416058A CN 114416058 A CN114416058 A CN 114416058A CN 202210072194 A CN202210072194 A CN 202210072194A CN 114416058 A CN114416058 A CN 114416058A
- Authority
- CN
- China
- Prior art keywords
- model
- cloud
- files
- file
- initial
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/30—Creation or generation of source code
- G06F8/31—Programming languages or programming paradigms
- G06F8/315—Object-oriented languages
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/11—File system administration, e.g. details of archiving or snapshots
- G06F16/113—Details of archiving
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/70—Software maintenance or management
- G06F8/71—Version control; Configuration management
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Software Systems (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- Computing Systems (AREA)
- Computer Security & Cryptography (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The invention discloses a cloud model storage method and a system suitable for a modeling language in the engineering machinery industry, wherein the cloud model storage method comprises the following steps: acquiring an initial model set constructed based on a modeling language; each initial model in the initial model set is divided into multiple levels of submodels, the initial models are stored in a cloud file bin in the form of model files, the multiple levels of submodels are stored in a cloud file bin in the form of relational model files, and model configuration management documents consisting of the initial models, detailed information of each submodel and icon files are extracted and stored in a cloud database. The advantages are that: the invention considers the dynamic management method of the model, supplements the incidence relation among the models, limits the version of the model user operation, adds the model parameter configuration file on the basis of the original model database, realizes the mapping effect of the database and the file bin, and ensures that the recombination model on the basis of the cloud platform model organization method can more quickly and comprehensively realize the accurate organization management of the simulation model.
Description
Technical Field
The invention relates to a cloud model storage method and system suitable for a modeling language in the engineering machinery industry, and belongs to the technical field of engineering machinery modeling simulation.
Background
The whole machine modeling simulation work of the current engineering machinery is mainly based on multi-software and single machine version, and the product design and simulation requirements of the overall performance optimization of a complex electromechanical liquid system are difficult to meet. Particularly, when modeling is performed in the multidisciplinary fields of mechanics, electricity, liquid, control and the like, support of modeling and simulation technology meeting requirements of multi-field knowledge coupling optimization design is urgently needed, and a multi-field distributed collaborative design and simulation method is further needed. Although a unified modeling language represented by Modelica can describe the physical laws of subsystems in any field through a mathematical equation, the problem of multi-field coupling modeling simulation is solved, in the Modelica technology, the existing model base static coupling unstructured organization model based on a local text file facing a single-machine user environment cannot meet the requirement of multi-user concurrent collaborative organization management on the model base in a cloud environment.
In the prior art, although the engineering machinery energy consumption control system simulation analysis introduces multi-field modeling software of Modelica, the engineering machinery energy consumption control system simulation analysis comprises an electrical system, a hydraulic system and a power system, and the main implementation process is still a technical scheme that the connection of each system is realized by multiple persons of each system through respective single-machine modeling simulation and file copying at the bottom layer. Overall modeling is characterized in that due to the fact that the logical architecture of a model library is in a model file warehousing mode, a single model (. model) is contained in a model Package (Package) file in a model text mode or stored in an independent model file (. mo) mode, calling based on the file Package is difficult to expand, association relation is lacked, and only static single-user operation is allowed.
The existing engineering machinery single-machine-version modeling fusion method is established on the logic structure of an integral system, the hierarchical relation between models and model packages in the knowledge model base organization form only accords with the traversing loading and serial modeling sequence of a local simulation environment, the sharing and the interactivity of the models are poor, and the online modeling and simulation support of a network environment cannot be met. Interface and background data transmission and interactive summarization are still realized by manual operation through a special interface of software in the modeling process, the whole simulation analysis process usually needs repeated adaptive adjustment of each subsystem, is serial, has a sequential development sequence, and cannot cooperatively consider a plurality of subsystems, so that the development and improvement work of equipment is not facilitated, and the research and development period is long.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides a cloud model storage method and system suitable for a modeling language in the engineering machinery industry.
In order to solve the technical problem, the invention provides a cloud model storage method suitable for a modeling language in the engineering machinery industry, which comprises the following steps:
acquiring an initial model set constructed based on a modeling language;
each initial model in the initial model set is divided into multiple levels of submodels, the initial models are stored in a cloud file bin in the form of model files, the multiple levels of submodels are stored in a cloud file bin in the form of relational model files, and model configuration management documents consisting of the initial models, detailed information of each submodel and icon files are extracted and stored in a cloud database.
Further, the method also comprises the following steps: and judging whether all the model files and the model configuration management documents corresponding to the relation model files have the model configuration files and the model configuration file class files, and whether the content and the number are complete, if so, storing the model configuration management documents into a cloud database, and if not, returning to supplement until the judgment is yes.
Further, the model configuration file comprises a model self ID, a model name, model owner information, a model state, a model creation date and a model release date;
the model configuration file type files comprise SVG icons, model bottom layer components, model detailed information files, model description text information files and model version information files.
Further, the modeling language is a Modelica language.
Furthermore, the format of the model file and the relational model file is in a.
Further, configuration information is extracted from all the model configuration management documents, and a model configuration management list including each model file and the relationship model file is constructed.
Further, when a new configuration management document is obtained, the configuration information in the new configuration management document is extracted and supplemented to the model configuration management list.
A cloud model storage system suitable for engineering machinery industry modeling language, comprising:
the acquisition module is used for acquiring an initial model set constructed based on a modeling language;
the processing module is used for splitting each initial model in the initial model set into multiple levels of sub models, storing the initial models into a cloud file bin in the form of model files, storing the multiple levels of sub models into a cloud file bin in the form of relation model files, extracting detailed information of the initial models and each sub model thereof and icon files to form a model configuration management document, and storing the model configuration management document into a cloud database.
A computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by a computing device, cause the computing device to perform any of the methods.
A computing device, comprising, in combination,
one or more processors, memory, and one or more programs stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for performing any of the methods.
The invention achieves the following beneficial effects:
the invention considers the dynamic management method of the model, supplements the incidence relation among the models, limits the version of the model user operation, adds the model parameter configuration file on the basis of the original model database, realizes the mapping effect of the database and the file bin, and ensures that the recombination model on the basis of the cloud platform model organization method can more quickly and comprehensively realize the accurate organization management of the simulation model.
Drawings
FIG. 1 is a diagram of a cloud organization management system according to the present invention;
FIG. 2 is an example of a cloud platform model reorganization method and relationship;
FIG. 3 is a management model of a model object;
fig. 4 is a flowchart of initialization update of the cloud platform model.
Detailed Description
The invention is further described below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.
The invention discloses a cloud model storage method suitable for a modeling language in the engineering machinery industry, which is used for realizing authority division of users and management work of models, meeting the dynamic concurrent maintenance and management requirements of multi-level users on an engineering machinery model library in a cloud environment, modifying the logic architecture of the model library, increasing the user attributes and finally realizing uploading and downloading services, model construction services, simulation computing services and cooperative services of the specific engineering machinery-related models in the cloud environment.
The method comprises the following steps:
acquiring an initial model set constructed based on a modeling language;
each initial model in the initial model set is divided into multiple levels of submodels, the initial models are stored in a cloud file bin in the form of model files, the multiple levels of submodels are stored in a cloud file bin in the form of relational model files, and model configuration management documents consisting of the initial models, detailed information of each submodel and icon files are extracted and stored in a cloud database.
In order to realize the 1:1 mapping of the database and the file bin, the method further comprises the following steps: and judging whether all the model files and the model configuration management documents corresponding to the relation model files have the model configuration files and the model configuration file class files, and whether the content and the number are complete, if so, storing the model configuration management documents into a cloud database, and if not, returning to supplement until the judgment is yes. When a user inquires the access model through integrity verification, the management document can be configured through the model of the access model database to obtain the required complete use information of the model, and then the model files are searched according to the access path to form one-to-one mapping, so that dynamic calling is guaranteed.
The model configuration file comprises a model self ID, a model name, model owner information, a model state (release or new construction), a model creation date and a model release date; the model configuration file type files comprise SVG icons, model bottom layer components, model detailed information files, model description text information files and model version information files. The model configuration file mainly comprises: the model configuration file class file comprises an icon file, a component of the model is formed at the bottom layer, and the model detailed position, the use information file, the descriptive text information file and the version information file form a model configuration management document together for realizing the dynamic calling of the model through the SVG icon.
The modeling language is Modelica language.
The format of the model file and the format of the relation model file are in a. The organization mode under the network environment can only load the model base in a mode of loading files from the model base by taking mo as a management control object, and the model base is single mo, so that the limitation that a plurality of models of an original multi-level model package (package) cannot be called can be broken, and the sharing is guaranteed to be supported.
And extracting configuration information from all the model configuration management documents, and constructing a model configuration management list comprising each model file and the relation model file. The model configuration management list is stored in the form of a database, and is a file for establishing a corresponding relationship between the model configuration management document and the model file.
In order to meet the dynamic concurrent maintenance and management requirements of multi-level users on the engineering machinery model library in the cloud environment, when a new configuration management document is obtained, configuration information in the new configuration management document is extracted and supplemented into the model configuration management list.
Correspondingly, the invention also provides a cloud model storage system suitable for the modeling language of the engineering machinery industry, which comprises the following components:
the acquisition module is used for acquiring an initial model set constructed based on a modeling language;
the processing module is used for splitting each initial model in the initial model set into multiple levels of sub models, storing the initial models into a cloud file bin in the form of model files, storing the multiple levels of sub models into a cloud file bin in the form of relation model files, extracting detailed information of the initial models and each sub model thereof and icon files to form a model configuration management document, and storing the model configuration management document into a cloud database.
The cloud model storage system of the modeling language suitable for the engineering machinery industry is described below with reference to the accompanying drawings.
Fig. 1 is a diagram of a cloud organization management system structure, which includes a user right management module, a model data management module, and a model configuration management module, which are independent from each other and have cross-dependency. The user authority management module is used for realizing specific authority management and mainly comprises enterprise-level users, enterprise personal users and private users. In the online modeling service, the uploading, downloading and construction of the model need to reuse a single model or an upward supporting model library, and visual modeling is carried out through an SVG icon information file in a database server. When the model is used in the simulation service, only parameters need to be set, and after a simulation task is submitted to the server, all model files related to the simulation model are loaded from a local file directory by the compiling server to perform simulation calculation.
Fig. 2 shows an example of a cloud platform model reorganization method and relationship, where the model a includes a sub-model C, D and a secondary sub-model F, G, H, and the model may be divided into eight model texts with full names of a, a.c, A.D, a.c.f, a.c.g, a.d.f, a.d.g, and a.d.h and stored in a file bin; and extracting the detailed information of the model and the icon file SVG according to the management model of the model object to be used as an independent attribute of the model configuration management document and storing the independent attribute into a database.
Fig. 3 is a management model of a model object, a generated model configuration management document is stored in a database, and mainly includes description information of the model, which specifically includes: model name, model type, use information, relevant model version and storage location of the model; model relationships and model structures; model owner information; model library version information. The model object management model is established through model initialization, the added user attributes are used for meeting the requirements of user personal model management, the incidence relation among models is supplemented and perfected, and the storage of model files and model relation model files is realized.
Fig. 4 is a flow of initializing and updating a cloud platform model, wherein the main steps are as follows:
1. starting model file uploading service;
2. and importing the information of the model owner and storing the model file according to the requirement of the user management module.
3. Mo file of each model is stored in file server, data of each model is stored in configuration file corresponding to database, and simultaneously list content of management model is supplemented: and extracting information from the original database file, constructing a new model configuration management list and loading the new model configuration management list to the database.
4. And judging the integrity of the model, namely judging whether the configuration information and the model have complete information, if all model files have model configuration files and model configuration file class files, storing if the contents and the number are complete, and returning to supplement if the contents and the number are incomplete until the model completely passes through an initialization process.
After the model is initialized and updated, a single model can be reused in an online modeling service or an upward supporting model library, or when a new model is built by an existing model, visual modeling is carried out through an SVG icon information file in a database server. When the model of others is used in the simulation service, only parameters need to be set, and after a simulation task is submitted to the server, all model files related to the simulation model are loaded from a local file directory by the compiling server to perform simulation calculation.
The present invention accordingly also provides a computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by a computing device, cause the computing device to perform any of the methods described.
The invention also provides a computing device, comprising,
one or more processors, memory, and one or more programs stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for performing any of the methods.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above description is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, several modifications and variations can be made without departing from the technical principle of the present invention, and these modifications and variations should also be regarded as the protection scope of the present invention.
Claims (10)
1. A cloud model storage method suitable for a modeling language in the engineering machinery industry is characterized by comprising the following steps:
acquiring an initial model set constructed based on a modeling language;
each initial model in the initial model set is divided into multiple levels of submodels, the initial models are stored in a cloud file bin in the form of model files, the multiple levels of submodels are stored in a cloud file bin in the form of relational model files, and model configuration management documents consisting of the initial models, detailed information of each submodel and icon files are extracted and stored in a cloud database.
2. The cloud model storage method suitable for the engineering machinery industry modeling language of claim 1, further comprising:
and judging whether all the model files and the model configuration management documents corresponding to the relation model files have the model configuration files and the model configuration file class files, and whether the content and the number are complete, if so, storing the model configuration management documents into a cloud database, and if not, returning to supplement until the judgment is yes.
3. The cloud model storage method suitable for engineering machinery industry modeling language of claim 2,
the model configuration file comprises a model self ID, a model name, model owner information, a model state, a model establishing date and a model releasing date;
the model configuration file type files comprise SVG icons, model bottom layer components, model detailed information files, model description text information files and model version information files.
4. The cloud model storage method applicable to the engineering machinery industry modeling language of claim 1, wherein the modeling language is a Modelica language.
5. The cloud model storage method applicable to the engineering machinery industry modeling language of claim 1, wherein the format of the model file and the relational model file is a format of.
6. The cloud model storage method applicable to the engineering machinery industry modeling language of claim 1, wherein configuration information is extracted from all the model configuration management documents, and a model configuration management list including each model file and a relationship model file is constructed.
7. The cloud model storage method applicable to the engineering machinery industry modeling language of claim 6, wherein when a new configuration management document is obtained, configuration information in the new configuration management document is extracted and supplemented to the model configuration management list.
8. The utility model provides a high in clouds model storage system suitable for engineering machine tool trade modeling language which characterized in that includes:
the acquisition module is used for acquiring an initial model set constructed based on a modeling language;
the processing module is used for splitting each initial model in the initial model set into multiple levels of sub models, storing the initial models into a cloud file bin in the form of model files, storing the multiple levels of sub models into a cloud file bin in the form of relation model files, extracting detailed information of the initial models and each sub model thereof and icon files to form a model configuration management document, and storing the model configuration management document into a cloud database.
9. A computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by a computing device, cause the computing device to perform any of the methods of claims 1-7.
10. A computing device, comprising,
one or more processors, memory, and one or more programs stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for performing any of the methods of claims 1-7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210072194.0A CN114416058A (en) | 2022-01-21 | 2022-01-21 | Cloud model storage method and system suitable for engineering machinery industry modeling language |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210072194.0A CN114416058A (en) | 2022-01-21 | 2022-01-21 | Cloud model storage method and system suitable for engineering machinery industry modeling language |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114416058A true CN114416058A (en) | 2022-04-29 |
Family
ID=81274527
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210072194.0A Pending CN114416058A (en) | 2022-01-21 | 2022-01-21 | Cloud model storage method and system suitable for engineering machinery industry modeling language |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114416058A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2023193509A1 (en) * | 2022-10-20 | 2023-10-12 | 江苏徐工工程机械研究院有限公司 | Engineering machinery equipment modeling method and apparatus |
| CN117272877A (en) * | 2023-11-21 | 2023-12-22 | 芯和半导体科技（上海）股份有限公司 | Correlation updating method, system and medium for EDA model modeling |
-
2022
- 2022-01-21 CN CN202210072194.0A patent/CN114416058A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2023193509A1 (en) * | 2022-10-20 | 2023-10-12 | 江苏徐工工程机械研究院有限公司 | Engineering machinery equipment modeling method and apparatus |
| CN117272877A (en) * | 2023-11-21 | 2023-12-22 | 芯和半导体科技（上海）股份有限公司 | Correlation updating method, system and medium for EDA model modeling |
| CN117272877B (en) * | 2023-11-21 | 2024-01-30 | 芯和半导体科技（上海）股份有限公司 | Correlation updating method, system and medium for EDA model modeling |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108804630B (en) | Industry application-oriented big data intelligent analysis service system | |
| CN114416058A (en) | Cloud model storage method and system suitable for engineering machinery industry modeling language | |
| CN102567312A (en) | Machine translation method based on distributive parallel computation framework | |
| Yakimov et al. | AnyLogic, extendsim and simulink overview comparison of structural and simulation modelling systems | |
| Silva et al. | Integrating big data into the computing curricula | |
| CN115202729A (en) | Container service-based mirror image generation method, device, equipment and medium | |
| CN111144830A (en) | Enterprise-level computing resource management method, system and computer equipment | |
| CN113177088A (en) | Multi-scale simulation big data management system for material irradiation damage | |
| Ulrich et al. | Operator timing of task level primitives for use in computation-based human reliability analysis | |
| CN115408101A (en) | Software training system based on container | |
| US20110184902A1 (en) | business rule integration with engineering applications | |
| TW201725542A (en) | Form management system and method | |
| Lee et al. | Multi-tenant machine learning platform based on kubernetes | |
| Liu et al. | A generic and highly scalable framework for the automation and execution of scientific data processing and simulation workflows | |
| Wang et al. | OpenGeo: an open geometric knowledge base | |
| Suresh et al. | Synthesizing cluster management code for distributed systems | |
| Alajrami et al. | Enabling global software development via cloud-based software process enactment | |
| US20240111832A1 (en) | Solver execution service management | |
| Li et al. | Cutting and nesting system of cloud manufacturing based on SOA | |
| US20240111831A1 (en) | Multi-tenant solver execution service | |
| Li et al. | A method of constructing distributed big data analysis model for machine learning based on Cloud Computing | |
| US20230297346A1 (en) | Intelligent data processing system with metadata generation from iterative data analysis | |
| Taylor et al. | High Speed Simulation Analytics | |
| Xiang et al. | Platform System and Method of Cloud Component Framework Configuration in Computer Software System | |
| US20240143286A1 (en) | Digital Engineering Ecosystem |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |