CN114462777A - Model management method, device, terminal and storage medium - Google Patents
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Abstract
The embodiment of the application relates to the technical field of data processing, and discloses a model management method, a model management device, a model management terminal and a storage medium. The model management method comprises the following steps: obtaining a model base and attribute information of a model to be managed in the model base; classifying the names of the models to be managed according to the attribute information of the models to be managed and acquiring a model directory, wherein the model directory is used for searching a target model required by simulation operation; and acquiring a parameter directory according to the configuration requirement of the model to be managed so as to configure and/or modify the parameters of the target model. The model management method provided by the embodiment of the application is convenient for a user to configure the parameters and the simulation parameters in the target model, and can be used for rapidly carrying out simulation test development work.
Description
Technical Field
The embodiment of the application relates to the technical field of data processing, in particular to a model management method, a model management device, a terminal and a storage medium.
Background
With the development and progress of scientific technology, modern simulation technology is applied more and more widely in various fields, especially in the field of aerospace, and the simulation technology is an indispensable means for developing aircrafts and satellite vehicles. By scientifically applying the simulation technology, the research cost can be effectively reduced, and the economic benefit can be improved.
Specifically, establishing a simulation model and performing a simulation experiment are simulation methods, and with the progress of research, more and more models are used for analysis, and the searching and the using are inconvenient. How to uniformly and effectively manage the models so that a user can more conveniently use the models to perform simulation test development work is a problem to be solved at present.
Disclosure of Invention
An object of the embodiments of the present application is to provide a model management method, apparatus, terminal and storage medium, so as to solve the problem that a model cannot be effectively managed in the prior art.
In order to solve the above technical problem, a first aspect of an embodiment of the present application provides a model management method, including:
obtaining a model base and attribute information of a model to be managed in the model base;
classifying the names of the models to be managed according to the attribute information of the models to be managed and acquiring a model directory, wherein the model directory is used for searching a target model required by simulation operation;
and acquiring a parameter directory according to the configuration requirement of the model to be managed so as to configure and/or modify the parameters of the target model.
In addition, the obtaining of the model library and the attribute information of the model to be managed in the model library includes: acquiring the model library by newly building and/or importing the model to be managed; and acquiring one or more of the use frequency, the technical field and the application mode of the model to be managed so as to acquire the attribute information of the model to be managed in the model library.
In addition, after obtaining the model library and the attribute information of the model to be managed in the model library, the method further includes: after the model base is obtained, updating the model base by importing and/or exporting resources of the model to be managed; and updating the model catalog and the parameter catalog according to the updated model library.
In addition, the classifying the name of the model to be managed according to the attribute information of the model to be managed and obtaining the model catalog includes: establishing a plurality of classification information according to the attribute information of the model to be managed, and classifying the name of the model to be managed into the corresponding classification information according to the attribute information of the model to be managed; obtaining a model catalog according to a plurality of classification information; wherein the name of one of the models to be managed is included in only one of the classification information.
In addition, the parameter directory comprises a directory which takes the model attribute parameters of the model to be managed and the simulation parameters of the model to be managed as contents; the simulation parameters comprise simulation step length, simulation time and simulation algorithm.
In addition, after the obtaining a parameter directory according to the configuration requirement of the model to be managed to configure and/or modify the parameters of the target model, the method further includes: acquiring a parameter configuration file according to configuration and/or modification of the parameters of the target model; wherein the parameter configuration file comprises configuration and/or modification of parameters of the target model each time.
In addition, after the obtaining the parameter configuration file, the method further includes: and marking parameters needing to be configured in the parameters of the target model according to the acquired parameter configuration file.
A second aspect of embodiments of the present application provides a model management apparatus, including: the system comprises an acquisition module, a management module and a management module, wherein the acquisition module is used for acquiring a model base and attribute information of a model to be managed in the model base; the classification module is used for classifying the names of the models to be managed according to the attribute information of the models to be managed and acquiring a model directory, and the model directory is used for searching a target model required by simulation operation; and the configuration module is used for acquiring a parameter directory according to the configuration requirement of the model to be managed so as to configure and/or modify the parameters of the target model.
A third aspect of embodiments of the present application provides a terminal, including: at least one processor; and a memory communicatively coupled to the at least one processor; the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the model management method.
A fourth aspect of embodiments of the present application provides a storage medium storing a computer program that, when executed by a processor, implements the model management method described above.
Compared with the prior art, the model management method provided by the embodiment of the application classifies the names of the models to be managed according to the attribute information of the models to be managed when the number of the models to be managed is large, lists the model catalog, and facilitates a user to search and use the target model in the model library. In addition, the method is different from the method of manual recording in the prior art, lists the parameter catalog according to the requirement of simulation operation of the model to be managed, is convenient for a user to configure the parameters and the simulation parameters in the target model, and can rapidly carry out simulation test development work.
Drawings
One or more embodiments are illustrated by way of example in the accompanying drawings, which correspond to the figures in which like reference numerals refer to similar elements and which are not to scale unless otherwise specified.
FIG. 1 is a flow chart of a model management method provided by an embodiment of the present application;
FIG. 2 is a flowchart of obtaining a model base and attribute information of a model to be managed in the model base in an embodiment of the present application;
fig. 3 is a flowchart of classifying names of the to-be-managed models according to the attribute information of the to-be-managed models and acquiring a model directory in the embodiment of the present application;
FIG. 4 is a schematic structural diagram of a model management apparatus according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of a terminal according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the following describes each embodiment of the present application in detail with reference to the accompanying drawings. However, it will be appreciated by those of ordinary skill in the art that numerous technical details are set forth in various embodiments of the present application in order to provide a better understanding of the present application. However, the technical solution claimed in the present application can be implemented without these technical details and various changes and modifications based on the following embodiments. The following embodiments are divided for convenience of description, and should not constitute any limitation to the specific implementation manner of the present application, and the embodiments may be mutually incorporated and referred to without contradiction.
Modern simulation techniques are not only applied to the traditional engineering field, but also increasingly widely applied to the social, economic, biological and other fields, such as traffic control, urban planning, resource utilization, environmental pollution prevention and control, production management, market prediction, analysis and prediction of world economy, population control and the like. For systems such as socio-economic systems, it is difficult to perform experiments on real systems. Therefore, it is more important to study these systems using simulation techniques.
Particularly in the field of aerospace, the simulation technology is an indispensable means for developing aircrafts and satellite vehicles, and can obtain high economic benefit. Advanced simulation technology must be comprehensively applied in the whole process of development, identification and typing. Otherwise, the development of any new and advanced aircraft and vehicles would not be possible.
Establishing a simulation model and performing a simulation experiment are simulation methods, so that a method is provided for facilitating a user to classify and manage a large number of models and form a model library at present in the development of simulation technology; the user can configure important parameters in the model, and the simulation test development work is very necessary to be carried out quickly.
As shown in fig. 1, in an embodiment, a first aspect of an embodiment of the present application provides a model management method, including:
s100, obtaining a model base and attribute information of a model to be managed in the model base.
It can be understood that more than one or several models are required for simulation test development work, and especially when the application environment of the related technical field is complex and has many influencing factors, the number of corresponding models is increased. Wherein the model library comprises a plurality of the models to be managed.
S200, classifying the names of the models to be managed according to the attribute information of the models to be managed, and acquiring a model directory, wherein the model directory is used for searching a target model required by simulation operation.
S300, acquiring a parameter directory according to the configuration requirement of the model to be managed so as to configure and/or modify the parameters of the target model.
According to the model management method provided by the embodiment of the application, when the number of the models to be managed is large, the names of the models to be managed are classified according to the attribute information of the models to be managed, the model catalog is tabulated, and a user can conveniently search and use the target model in the model library. In addition, the method is different from the method of manual recording in the prior art, lists the parameter catalog according to the requirement of simulation operation of the model to be managed, is convenient for a user to configure the parameters and the simulation parameters in the target model, and can rapidly carry out simulation test development work.
In an embodiment, as shown in fig. 2, the step S100 of obtaining a model library and attribute information of a model to be managed in the model library includes:
s110, the model library is obtained by newly creating and/or importing the model to be managed.
And S120, acquiring one or more of the use frequency, the technical field and the application mode of the model to be managed so as to acquire the attribute information of the model to be managed in the model library. Of course, other attribute information may also be obtained according to the customer requirements or actual needs, so as to facilitate subsequent classification, which is not specifically limited herein.
In an embodiment, referring to fig. 3, the step S200 of classifying the name of the model to be managed according to the attribute information of the model to be managed and obtaining the model directory specifically includes:
s210, establishing a plurality of classification information according to the attribute information of the model to be managed, and classifying the name of the model to be managed into the corresponding classification information according to the attribute information of the model to be managed. In an embodiment, the model base may be obtained first, and then the corresponding classification information may be created according to the attribute information of the model to be managed in the obtained model base. In other embodiments, the classification information may be created according to needs or other classification bases, and then the model base is obtained, and the model to be managed in the model base is classified into corresponding classifications according to the attribute information.
And S220, obtaining a model catalog according to the classification information. The classification information is used as a large class, so that a user can more conveniently search a required target model and approach the required target model, and a plurality of models to be managed are managed more scientifically and reasonably.
It should be noted that, in order to conveniently search a required target model in the model directory, a name of one of the models to be managed is only included in one piece of classification information.
In an embodiment, in the step S300, the parameter directory includes a directory which takes the model attribute parameters of the model to be managed and the simulation parameters of the model to be managed as contents. The simulation parameters comprise simulation step length, simulation time, simulation algorithm and submodule configuration. The initial value of the configured simulation step length is taken from the simulation step length of the model to be managed, and the value is edited and cannot be stored in the bottom layer of the model to be managed independently from the model to be managed subsequently. The configured simulation time is similar to the simulation step length, the initial value of the simulation time is taken from the simulation time of the model to be managed, and the value is edited independently of the model to be managed and cannot be stored in the bottom layer of the model to be managed. The configuration of the sub-modules is configured according to the Configurable Subsystem module in the bottom model of the identified and analyzed model to be managed.
In an embodiment, the S300, after obtaining the parameter directory according to the configuration requirement of the model to be managed to configure and/or modify the parameter of the target model, further includes:
s400, acquiring a parameter configuration file according to configuration and/or modification of the parameters of the target model.
Wherein the parameter configuration file comprises configuration and/or modification of parameters of the target model each time.
By obtaining the parameter configuration file, the target model before modification and the target model after modification are compared, and each modification trace of the target model by a user can be conveniently obtained.
In an embodiment, after the step S400 of obtaining the parameter configuration file, the method further includes:
s500, marking parameters needing to be configured in the parameters of the target model according to the acquired parameter configuration file. The meaning of marking parameters is to select key parameters to be configured and label these key parameters with "meaning (friendly name)" and "unit (optional)" for quick modification.
In other embodiments, after obtaining the parameter configuration file, the method includes: modifying the name of the parameter configuration file and the description information of the parameter configuration file; editing the set values of all parameters in the parameter configuration file; and after the parameter editing is finished, saving the edited parameter configuration file. In addition, the parameter configuration file can be imported or exported according to the use requirement. The parameter configuration file stored locally can be imported in a mode of importing the parameter configuration file. As with the derived parameter configuration, there are two forms of resource nodes and CSV files, and the specific form of the file is not specifically limited herein.
Meanwhile, the embodiment of the application also provides corresponding model description information, and the model description information is used for displaying the model name, the MATLAB software version, the creator, the creation time, the last modifier, the last modification time, description information, and supporting file information of the model to be managed and the model structure of the subsystem hierarchy.
After the above operation, the simulation operation can be performed.
In order to maintain the scientificity and rationality of the model to be managed in the model library and reduce redundancy, in an embodiment, after acquiring the attribute information of the model library and the model to be managed in the model library, the method further includes:
s600, after the model base is obtained, updating the model base by importing and/or exporting resources of the model to be managed; and updating the model catalog and the parameter catalog according to the updated model library. It can be understood that when the model to be managed included in the model library changes, the model directory and the parameter directory thereof also change accordingly.
In addition, in order to be widely applicable to mathematical software, in an embodiment, the embodiment of the present application may automatically identify mathematical software of different versions installed in a computer, such as MATLAB software, and select a required MATLAB version for simulation in a pull-down menu manner.
In summary, the embodiment of the present application forms the model library and the corresponding model directory by collectively and uniformly managing the model files, the supporting files, the parameter configuration files, and the like of the model to be managed, so that the user can conveniently search the target model, and can import and export the complete model resources. Meanwhile, the multi-terminal co-development and simulation can be realized in the form of a model library. When the user carries out the simulation test, the important parameters can be configured, and the configuration files of other users can be imported, so that the simulation test development work can be carried out quickly. And matching with parameter batch configuration, importing and exporting configuration files to make the model version clear and update records perfect, thereby making the simulation test work efficiently carried out.
In an embodiment, the present application further relates to a model management apparatus, as shown in fig. 4, including: an obtaining module 701, configured to obtain a model library and attribute information of a model to be managed in the model library; a classification module 702, configured to classify the name of the model to be managed according to the attribute information of the model to be managed, and obtain a model directory, where the model directory is used to search for a target model required by simulation operation; a configuration module 703, configured to obtain a parameter directory according to the configuration requirement of the model to be managed, so as to configure and/or modify the parameters of the target model.
In one embodiment, the present application is also directed to a terminal, as shown in fig. 5, comprising at least one processor 81; and a memory 82 communicatively coupled to the at least one processor 81; the memory 82 stores instructions executable by the at least one processor 81, and the instructions are executed by the at least one processor 81 to enable the at least one processor 81 to perform the model management method.
Where the memory 82 and the processor 81 are coupled in a bus, the bus may comprise any number of interconnected buses and bridges that couple one or more of the various circuits of the processor 81 and the memory 82 together. The bus may also connect various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface provides an interface between the bus and the transceiver. The transceiver may be one element or a plurality of elements, such as a plurality of receivers and transmitters, providing a means for communicating with various other apparatus over a transmission medium. The data processed by the processor is transmitted over the wireless medium via the antenna, which further receives the data and passes it to the processor 81.
The processor 81 is responsible for managing the bus and general processing and may also provide various functions including timing, peripheral interfaces, voltage regulation, power management, and other control functions. And memory 82 may be used to store data used by processor 81 in performing operations.
In one embodiment, the present application further relates to a computer-readable storage medium storing a computer program. The computer program realizes the above-described method embodiments when executed by a processor.
That is, as can be understood by those skilled in the art, all or part of the steps in the method for implementing the embodiments described above may be implemented by a program instructing related hardware, where the program is stored in a storage medium and includes several instructions to enable a device (which may be a single chip, a chip, or the like) or a processor (processor) to execute all or part of the steps of the method described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
It will be understood by those of ordinary skill in the art that the foregoing embodiments are specific examples for carrying out the present application, and that various changes in form and details may be made therein without departing from the spirit and scope of the present application in practice.
Claims (10)
1. A method of model management, comprising:
obtaining a model base and attribute information of a model to be managed in the model base;
classifying the names of the models to be managed according to the attribute information of the models to be managed and acquiring a model directory, wherein the model directory is used for searching a target model required by simulation operation;
and acquiring a parameter directory according to the configuration requirement of the model to be managed so as to configure and/or modify the parameters of the target model.
2. The model management method according to claim 1, wherein the obtaining of the attribute information of the model library and the model to be managed in the model library comprises:
acquiring the model library by newly building and/or importing the model to be managed;
and acquiring one or more of the use frequency, the technical field and the application mode of the model to be managed so as to acquire the attribute information of the model to be managed in the model library.
3. The model management method according to claim 1 or 2, wherein after obtaining the model library and the attribute information of the model to be managed in the model library, the method further comprises:
after the model base is obtained, updating the model base by importing and/or exporting resources of the model to be managed;
and updating the model catalog and the parameter catalog according to the updated model library.
4. The model management method according to claim 1, wherein the classifying the name of the model to be managed according to the attribute information of the model to be managed and obtaining the model directory comprises:
establishing a plurality of classification information according to the attribute information of the model to be managed, and classifying the name of the model to be managed into the corresponding classification information according to the attribute information of the model to be managed;
obtaining a model catalog according to a plurality of classification information;
wherein the name of one of the models to be managed is included in only one of the classification information.
5. The model management method according to claim 1, wherein the parameter directory comprises a directory containing model attribute parameters of the model to be managed and simulation parameters of the model to be managed as contents;
the simulation parameters comprise simulation step length, simulation time and simulation algorithm.
6. The model management method according to claim 1 or 5, wherein after obtaining a parameter catalog according to the configuration requirement of the model to be managed to configure and/or modify the parameters of the target model, the method further comprises:
acquiring a parameter configuration file according to configuration and/or modification of the parameters of the target model;
wherein the parameter configuration file comprises configuration and/or modification of parameters of the target model each time.
7. The model management method of claim 6, further comprising, after said obtaining a parameter profile:
and marking parameters needing to be configured in the parameters of the target model according to the acquired parameter configuration file.
8. A model management apparatus, comprising:
the system comprises an acquisition module, a management module and a management module, wherein the acquisition module is used for acquiring a model base and attribute information of a model to be managed in the model base;
the classification module is used for classifying the names of the models to be managed according to the attribute information of the models to be managed and acquiring a model directory, and the model directory is used for searching a target model required by simulation operation;
and the configuration module is used for acquiring a parameter directory according to the configuration requirement of the model to be managed so as to configure and/or modify the parameters of the target model.
9. A terminal, comprising:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the model management method of any of claims 1 to 7.
10. A storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the model management method of any one of claims 1 to 7.
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