CN113590577A - Data management method, system and readable storage medium - Google Patents
Data management method, system and readable storage medium Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 43
- 238000013523 data management Methods 0.000 title claims abstract description 34
- 238000012545 processing Methods 0.000 claims abstract description 19
- 238000002474 experimental method Methods 0.000 claims description 12
- 238000004590 computer program Methods 0.000 claims description 7
- 230000009471 action Effects 0.000 claims description 6
- 238000013500 data storage Methods 0.000 claims description 3
- 230000008676 import Effects 0.000 claims description 3
- 238000007726 management method Methods 0.000 abstract description 10
- 238000012423 maintenance Methods 0.000 description 6
- 238000012986 modification Methods 0.000 description 6
- 230000004048 modification Effects 0.000 description 6
- 238000011084 recovery Methods 0.000 description 6
- 230000008569 process Effects 0.000 description 5
- 238000007792 addition Methods 0.000 description 4
- 238000012217 deletion Methods 0.000 description 4
- 230000037430 deletion Effects 0.000 description 4
- 230000008901 benefit Effects 0.000 description 3
- 238000011156 evaluation Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
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- 238000004891 communication Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—Design, administration or maintenance of databases
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/14—Error detection or correction of the data by redundancy in operation
- G06F11/1402—Saving, restoring, recovering or retrying
- G06F11/1446—Point-in-time backing up or restoration of persistent data
- G06F11/1448—Management of the data involved in backup or backup restore
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/906—Clustering; Classification
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
Abstract
The invention discloses a data management method, a system and a readable storage medium, comprising the steps of obtaining experimental data from a database; determining the data classification of the experimental data according to a preset classification standard, and executing corresponding data processing on the experimental data according to the data classification so as to realize uniform compilation of the experimental data and obtain compilation data; and storing the compilation data to finish the storage of the experimental data, thereby greatly improving the operation efficiency and the management efficiency of the experimental data.
Description
Technical Field
The present invention relates to the field of database technologies, and in particular, to a data management method, system, and readable storage medium.
Background
With the continuous construction and development of information systems, the types and the quantity of data are increased day by day, especially the iterative experimental data is continuously explored and updated, the data interference degrees are uneven, the data hinge relation is complicated, and the data maintenance is very difficult.
The existing experimental data management generally adopts a direct management mode, namely, data are directly acquired from a database, and a large amount of operations such as query, addition, deletion, modification and the like are executed, so that a plurality of problems exist. Firstly, the current data management is mainly system administrator-oriented, the operation of a maintenance interface is complex and tedious, and the data management is difficult to directly manage for some inexperienced users; secondly, the stored data is not clear enough in classification and classification, the data authority is set disorderly, the data relevance is poor, and the data cannot be displayed intuitively; in addition, the data communication overhead is large, and complete data access, storage and extraction services are lacked, so that the data operation execution efficiency is low.
Disclosure of Invention
The embodiment of the invention provides a data management method, a data management system and a readable storage medium, which are used for improving the operation efficiency and the management efficiency of experimental data.
The embodiment of the invention provides a data management method, which comprises the following steps:
acquiring experimental data from a database;
determining the data classification of the experimental data according to a preset classification standard, and executing corresponding data processing on the experimental data according to the data classification so as to realize uniform compilation of the experimental data and obtain compilation data;
and storing the compilation data to finish the storage of the experimental data.
Optionally, the determining the data classification of the experimental data according to a preset classification standard, and performing corresponding data processing on the experimental data according to the data classification includes:
under the condition that the experimental data are standard data, maintaining the standard data through a configuration file in a specified format and/or interface operation according to data classification of the standard data;
the standard data includes at least one of the following data: country and region information, place name information, equipment parameter information and engineering classification information.
Optionally, the determining the data classification of the experimental data according to a preset classification standard, and performing corresponding data processing on the experimental data according to the data classification includes:
under the condition that the experimental data are basic data or scheme data, maintaining the basic data or the scheme data according to the data classification of the basic data or the scheme data through interface operation;
the basic data at least comprises one of the following data: the military force is compiled into information, position information, area information, target information and equipment information;
the scheme data includes at least one of the following data: action, combat, experimental and assessment protocols.
Optionally, the data management method further includes:
exporting the compiled data after being put into a warehouse to a specified storage position, and realizing data backup of the compiled data; alternatively, the first and second electrodes may be,
and carrying out data import on the data backup so as to recover the corresponding compilation data.
Optionally, after acquiring the experimental data from the database, the data management method further includes: and carrying out interface display on the experimental data.
Optionally, the data management method further includes:
after a data query request of an experiment platform is received, querying corresponding data content from stored compilation data according to the data query request;
and pushing the data content to a request end according to a preset format.
An embodiment of the present invention further provides a data management system, including:
the data acquisition module is used for acquiring experimental data from a database;
the data processing module is used for determining the data classification of the experimental data according to a preset classification standard and executing corresponding data processing on the experimental data according to the data classification so as to realize the unified compilation of the experimental data and obtain compilation data;
and the data storage module is used for storing the compilation data so as to finish the storage of the experimental data.
In a third aspect, an embodiment of the present invention provides a computer-readable storage medium, where a computer program is stored, and when the computer program is executed by a processor, the computer program implements the foregoing steps of the data management method.
Determining data classification of the experimental data according to a preset classification standard, and executing corresponding data processing on the experimental data according to the data classification so as to realize unified compilation of the experimental data and obtain compilation data; and storing the compilation data to finish the storage of the experimental data, thereby greatly improving the operation efficiency and the management efficiency of the experimental data.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
FIG. 1 is a basic flow diagram of an embodiment of the present invention;
FIG. 2 is a schematic diagram of a frame structure according to an embodiment of the present invention;
FIG. 3 is a complete flow chart of the present invention;
FIG. 4 is a flowchart of a standard data management process according to an embodiment of the present invention;
FIG. 5 is a flow chart of basic data management according to an embodiment of the present invention;
FIG. 6 is a flow chart of data management according to an embodiment of the present invention;
FIG. 7 is a flowchart illustrating data backup and recovery according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
A first embodiment of the present invention provides a data management method, as shown in fig. 1, including the following specific steps:
s101, acquiring experimental data from a database;
s102, determining data classification of the experimental data according to a preset classification standard, and performing corresponding data processing on the experimental data according to the data classification to realize uniform compilation of the experimental data and obtain compilation data;
and S103, storing the compilation data to finish the storage of the experimental data.
As shown in fig. 2, the method of the present embodiment may be implemented by data management software or a management system. In some implementations, the experimental data is obtained from a database through a data management software interface, and the database returns the data to the data management software. And the data management software determines the data classification of the experimental data according to a preset classification standard, executes corresponding data processing on the experimental data according to the data classification, realizes the unified compilation of the experimental data, obtains compilation data, and stores the experimental data after the unified processing compilation. The method of the invention can uniformly compile experimental data, establish relevant specifications and standards which take application standards, data standards and technical standards as main contents, and formulate a data standardization application guide. And determining the data classification of the experimental data according to a preset classification standard, realizing the classified management of the data, avoiding excessive relation nesting and facilitating the operation and use of users.
In one example, after obtaining the experimental data from the database, the data management method further comprises: and carrying out interface display on the experimental data.
In one example, after a data query request of an experiment platform is received, corresponding data content is queried from stored compilation data according to the data query request; and pushing the data content to a request end according to a preset format.
In some implementations, the data management software can display the required data on the interface, and the user interface receives a user operation to determine a data query request from the experiment platform, such as a click operation of a user. And inquiring corresponding data content from the stored compilation data according to the data inquiry request for the experimental data which are compiled in a unified mode and then put in storage. After querying the corresponding data content, as shown in fig. 3, the data content may be pushed to the experiment platform according to a preset format, for example, after receiving a data query request of the experiment platform, the data management software queries the database, and queries the queried data according to a well-defined JSON string format (such as a military strength information JSON string format, for example, the following format:
[{"id":"value1","name":"value2","ident":"value3","templateid":"value4","lon":"value5","lat":"value6","alt":"value7"},……}])
and then pushing the corresponding JSON string to the experiment platform according to the inquired data content.
The method realizes the normalized management and the normalized access of the data and improves the efficiency of data query. The preset format at least comprises JSON strings.
In an example, the determining the data classification of the experimental data according to the preset classification standard and performing the corresponding data processing on the experimental data according to the data classification includes:
under the condition that the experimental data are standard data, maintaining the standard data through a configuration file in a specified format and/or interface operation according to data classification of the standard data;
the standard data includes at least one of the following data: country and region information, place name information, equipment parameter information and engineering classification information.
Specifically, the experimental data in this embodiment includes standard data, basic data, and recipe data. The standard data may further include reference data, and may be classified into types such as country and region information, place name information, equipment parameter information, and project classification information. In this embodiment, the standard data may be a simple relationship table, as shown in fig. 4, a data table that needs to be operated may be added or deleted by modifying the configuration file in the XML format, and data maintenance may be directly performed on the standard reference information table in the current configuration file through an interface operation after the modification is completed. The interface can operate the configuration file to add or delete the standard data table required to be maintained, then the interface operation is executed, or the standard data table required to be operated is directly selected, the query, addition, deletion and modification operations are directly executed, and after the operation is finished, the data is stored and put in storage.
In an example, the determining the data classification of the experimental data according to the preset classification standard and performing the corresponding data processing on the experimental data according to the data classification includes:
under the condition that the experimental data are basic data or scheme data, maintaining the basic data or the scheme data according to the data classification of the basic data or the scheme data through interface operation;
the basic data at least comprises one of the following data: the military force is compiled into information, position information, area information, target information and equipment information;
the scheme data includes at least one of the following data: action, combat, experimental and assessment protocols.
As for the basic data, as shown in fig. 5, in this embodiment, according to the association relationship between the basic data and the application requirements, the experimental basic data is divided into five types of data, such as military force composition information, location information, area information, target information, and equipment information, and data maintenance is performed on the various types of data. The data needing to be operated, such as military force composition information, position information, region information, target information, equipment information and the like, can be operated and selected through the interface, the query, addition, deletion and modification operations are directly executed, and the data are stored and put in storage after the operation is finished.
As shown in fig. 6, for the plan data, in this embodiment, the experimental plan data may be divided into four types of data, such as an action plan, a battle plan, an experimental plan, and an evaluation plan, according to different business systems, and data maintenance may be performed on each type of plan data. Data needing operation, such as action schemes, fighting schemes, experiment schemes, evaluation schemes and the like, can be selected through the interface in an operable manner, query, addition, deletion and modification operations are directly executed, and the data are stored and put in storage after the operation is completed.
In one example, the data management method further comprises:
exporting the compiled data after being put into a warehouse to a specified storage position, and realizing data backup of the compiled data; alternatively, the first and second electrodes may be,
and carrying out data import on the data backup so as to recover the corresponding compilation data.
Specifically, in this embodiment, a data backup and recovery process of the experimental data is further set, so as to facilitate the operation and management of the database by the user. The method mainly comprises data backup and data recovery. The data backup can be used for backing up the current database data and exporting the current database data to a local file, so that the current database data is convenient to store. And (4) data recovery, wherein when the database is crashed or the database data is deleted by mistake, the database can be recovered through a data recovery function. Specifically, as shown in fig. 7, the data backup selects a data file storage location, executes a data export process, and exports the current database data to a local file, which is convenient for storage. And data recovery, namely selecting the database data file backed up before, importing the database, and after the importing operation is completed, checking the imported data through an interface.
In conclusion, the method can realize centralized management and storage of experimental data, establishes a perfect data management system, efficiently links and centrally manages the data of a plurality of parties through data access authority control, realizes standardized application, and achieves the purposes of data unification, standard sharing and service centralization.
Meanwhile, the method uniformly compiles experimental data, establishes relevant specifications and standards which take application standards, data standards and technical standards as main contents, and formulates a data standardization application guide. The data are reasonably classified by analyzing the data correlation, the data coding specification and the business requirements of different belongings, and the experimental data are divided into a plurality of subclasses of data such as military strength information, region information, equipment information, action schemes, experimental schemes, evaluation schemes and the like, so that the hierarchical classification management of the data is realized, the excessive relation nesting is avoided, and the operation and the use of a user are facilitated.
The method optimizes the operation interface, simplifies the code writing logic, improves the fault tolerance of system interaction, improves the work maintenance efficiency on the premise of fully meeting the stability and the flexibility of a program, and ensures the uniqueness, the order and the accuracy of data through good human-computer interaction design.
The method of the invention releases the database data to the experiment platform in real time, for software users, only a data request needs to be sent out on the experiment platform, the method acquires corresponding data from the database in real time, and sends the data to other experiment platforms in real time in a well-defined JSON string format (such as { "id": value1 "," name ": value 2" … … }), so that the compactness and high efficiency of data interaction are ensured, the problems of experiment platform data loss and source confusion are effectively solved, and the overall operation efficiency is improved.
An embodiment of the present invention further provides a data management system, including:
the data acquisition module is used for acquiring experimental data from a database;
the data processing module is used for determining the data classification of the experimental data according to a preset classification standard and executing corresponding data processing on the experimental data according to the data classification so as to realize the unified compilation of the experimental data and obtain compilation data;
and the data storage module is used for storing the compilation data so as to finish the storage of the experimental data.
An embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the steps of the data management method according to the first embodiment are implemented.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
While the present invention has been described with reference to the embodiments shown in the drawings, the present invention is not limited to the embodiments, which are illustrative and not restrictive, and it will be apparent to those skilled in the art that various changes and modifications can be made therein without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (8)
1. A method for managing data, comprising:
acquiring experimental data from a database;
determining the data classification of the experimental data according to a preset classification standard, and executing corresponding data processing on the experimental data according to the data classification so as to realize uniform compilation of the experimental data and obtain compilation data;
and storing the compilation data to finish the storage of the experimental data.
2. The data management method of claim 1, wherein the determining a data classification of the experimental data according to a preset classification criterion and performing corresponding data processing on the experimental data according to the data classification comprises:
under the condition that the experimental data are standard data, maintaining the standard data through a configuration file in a specified format and/or interface operation according to data classification of the standard data;
the standard data includes at least one of the following data: country and region information, place name information, equipment parameter information and engineering classification information.
3. The data management method of claim 1, wherein the determining a data classification of the experimental data according to a preset classification criterion and performing corresponding data processing on the experimental data according to the data classification comprises:
under the condition that the experimental data are basic data or scheme data, maintaining the basic data or the scheme data according to the data classification of the basic data or the scheme data through interface operation;
the basic data at least comprises one of the following data: the military force is compiled into information, position information, area information, target information and equipment information;
the scheme data includes at least one of the following data: action, combat, experimental and assessment protocols.
4. The data management method of claim 1, wherein the data management method further comprises:
exporting the compiled data after being put into a warehouse to a specified storage position, and realizing data backup of the compiled data; alternatively, the first and second electrodes may be,
and carrying out data import on the data backup so as to recover the corresponding compilation data.
5. The data management method of any of claims 1-4, wherein after obtaining the experimental data from the database, the data management method further comprises: and carrying out interface display on the experimental data.
6. The data management method of any one of claims 1-4, wherein the data management method further comprises:
after a data query request of an experiment platform is received, querying corresponding data content from stored compilation data according to the data query request;
and pushing the data content to a request end according to a preset format.
7. A data management system, comprising:
the data acquisition module is used for acquiring experimental data from a database;
the data processing module is used for determining the data classification of the experimental data according to a preset classification standard and executing corresponding data processing on the experimental data according to the data classification so as to realize the unified compilation of the experimental data and obtain compilation data;
and the data storage module is used for storing the compilation data so as to finish the storage of the experimental data.
8. A computer-readable storage medium, characterized in that a computer program is stored thereon, which computer program, when being executed by a processor, carries out the steps of the data management method according to any one of claims 1 to 6.
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