CN114490641A - Industrial Internet data sharing method, equipment and medium - Google Patents
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Abstract
The application discloses a method, equipment and a medium for sharing industrial internet data, which are used for solving the following technical problems: how to improve the sharing efficiency of the industrial big data and reduce the sharing cost of the industrial big data. The method comprises the following steps: based on a preset coding rule, coding data in a plurality of system databases added to the industrial Internet to determine an identification code corresponding to each data in each system database; when an identification analysis request instruction sent by a client is received, determining data to be read in a plurality of system databases based on the identification analysis request instruction, and extracting the data to be read; carrying out format conversion on the extracted data to be read so as to generate standard data with uniform format; and determining a data mapping table of the standard data, generating a standard data table based on the data mapping table, and sending the standard data table to the client. According to the method, the sharing efficiency of the industrial big data is improved, and the sharing cost of the industrial big data is reduced.
Description
Technical Field
The present application relates to the field of industrial internet technologies, and in particular, to a method, an apparatus, and a medium for sharing industrial internet data.
Background
The industrial big data implies the detailed condition and the operation rule of industrial production, also bears information of a large number of markets, customers, supply chains and the like, and is a core element of the industrial internet. However, because the industrial systems are numerous and independent from each other, and there is no unified standard, the obtained industrial big data has a great amount of differentiation. In addition, when the industrial big data is analyzed, the required data is diversified and cross-domain, so that the application efficiency of data sharing is extremely low, and the cost of data sharing is extremely high.
Therefore, how to improve the sharing efficiency of the industrial big data and reduce the sharing cost of the industrial big data becomes an urgent problem to be solved.
Disclosure of Invention
The embodiment of the application provides a method, equipment and a medium for sharing industrial internet data, which are used for solving the following technical problems: how to improve the sharing efficiency of the industrial big data and reduce the sharing cost of the industrial big data.
In a first aspect, an embodiment of the present application provides a method for sharing industrial internet data, where the method includes: based on a preset coding rule, coding data in a plurality of system databases added to the industrial Internet to determine an identification code corresponding to each data in each system database; under the condition of receiving an identification analysis request instruction sent by a client, determining data to be read in a plurality of system databases based on the identification analysis request instruction, and extracting the data to be read; carrying out format conversion on the extracted data to be read so as to generate standard data with uniform format; and determining a data mapping table of the standard data, generating a standard data table based on the data mapping table, and sending the standard data table to the client.
According to the industrial internet data sharing method provided by the embodiment of the application, the data in each system database added into the industrial internet is identified through the identification analysis technology, so that the data among all the fields are standardized and recognizable, and the data isolation among all the fields is effectively opened, so that the industrial big data sharing efficiency is greatly improved, and the industrial big data sharing cost is greatly reduced.
In an implementation manner of the present application, based on a preset encoding rule, encoding data in a plurality of system databases added to an industrial internet specifically includes: determining a plurality of industrial systems corresponding to a plurality of system databases, and determining the types of a plurality of data storage nodes contained in each industrial system; the data storage nodes are used for writing data to the corresponding system database; the industrial system is a system for providing services to industrial internet equipment; determining a first identification code prefix corresponding to each data storage node based on the type of the data storage node and a system database corresponding to the data storage node; the first identification prefix is used for representing the type of the data stored in the corresponding storage node; and sending the plurality of identification code prefixes corresponding to the system databases to the corresponding system databases so that the system databases generate corresponding identification codes for each data based on the corresponding first identification code prefixes.
In an implementation manner of the present application, after encoding data in a plurality of system databases added to the industrial internet based on a preset encoding rule to determine an identification code corresponding to each data in each system database, the method further includes: determining the corresponding data storage address of each data in the corresponding system database, and establishing an address mapping relation with the identification code based on the data storage address; arranging the identification codes according to the prefix types to generate an identification code catalogue; the prefix type is used for describing the type of data corresponding to the corresponding identifier code prefix.
In an implementation manner of the present application, determining data to be read in a plurality of system databases based on an identifier parsing request instruction, and extracting the data to be read specifically includes: analyzing the identifier analysis request instruction to determine a second identifier code prefix contained in the identifier analysis request instruction; the second identification prefix is used for representing the type of the data to be read; determining an identification code of data to be read in an identification code directory based on the prefix of the second identification code; and determining the corresponding storage address of the data to be read through the corresponding address mapping relation based on the identification code of the data to be read, and extracting the data to be read based on the storage address of the data to be read.
In an implementation manner of the present application, performing format conversion on the extracted data to be read to generate standard data with a uniform format specifically includes: determining a preset conversion rule corresponding to data to be read; each system database has a corresponding preset conversion rule so that the data stored in the system database can be converted into standard data; and based on a preset conversion rule, carrying out format conversion on the data to be read so as to generate standard data with a uniform format.
In an implementation manner of the present application, determining a data mapping table of standard data, and generating the standard data table based on the data mapping table specifically include: determining a plurality of data types contained in the standard data, and generating a plurality of data columns based on the plurality of data types; and generating a data mapping table corresponding to the standard data based on the plurality of data columns, and transmitting the standard data into the data mapping table to generate the standard data table.
In one implementation manner of the present application, after generating the identification code directory, the method further includes: determining a data type required by a preset application data model; the application data model is a set of data adopted for data analysis of a specific application scene; determining a plurality of third identification code prefixes based on the data types required by the preset application data model, and extracting data from a plurality of system databases based on the plurality of third identification code prefixes to generate corresponding application data models; the third identification prefix is used for presetting the data type of partial data required by the application data model; converting the application data model into a standard application data model based on a preset conversion rule corresponding to each data in the application data model; the standard application data model is encoded to determine a corresponding model identification code.
In one implementation of the present application, the method further comprises: under the condition of receiving an application data model calling instruction sent by a client, analyzing the application data model calling instruction to determine a model identification code contained in the application data model calling instruction; based on the model identification code, the standard application data model is extracted.
In a second aspect, an embodiment of the present application further provides an apparatus for sharing industrial internet data, where the apparatus includes: a processor; and a memory having executable code stored thereon, which when executed, causes the processor to perform a method according to any one of claims 1-8.
In a third aspect, an embodiment of the present application further provides a non-volatile computer storage medium for sharing industrial internet data, where computer-executable instructions are stored, and the computer-executable instructions are configured to: based on a preset coding rule, coding data in a plurality of system databases added to the industrial Internet to determine an identification code corresponding to each data in each system database; under the condition of receiving an identification analysis request instruction sent by a client, determining data to be read in a plurality of system databases based on the identification analysis request instruction, and extracting the data to be read; carrying out format conversion on the extracted data to be read so as to generate standard data with uniform format; and determining a data mapping table of the standard data, generating a standard data table based on the data mapping table, and sending the standard data table to the client.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
fig. 1 is a flowchart of a method for sharing industrial internet data according to an embodiment of the present disclosure;
fig. 2 is a schematic internal structural diagram of an industrial internet data sharing device according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be described in detail and completely with reference to the following specific embodiments of the present application and the accompanying drawings. It should be apparent that the described embodiments are only some of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
With the development of industrial internet technology, an identification analysis technology appears for data isolation among various fields, and industrial big data can be organically integrated. Therefore, development opportunities are brought to the efficient application of industrial big data. Therefore, how to apply the identifier resolution technology to improve the sharing efficiency of the industrial big data and reduce the sharing cost of the industrial big data becomes an urgent problem to be solved.
The embodiment of the application provides a method, equipment and a medium for sharing industrial internet data, which are used for solving the following technical problems: how to improve the sharing efficiency of the industrial big data and reduce the sharing cost of the industrial big data.
The technical solutions proposed in the embodiments of the present application are described in detail below with reference to the accompanying drawings.
Fig. 1 is a flowchart of a method for sharing industrial internet data according to an embodiment of the present disclosure.
In the embodiment of the present application, the execution subject may be a server or an industrial internet data sharing platform having an arithmetic processing function.
As shown in fig. 1, the method for sharing industrial internet data provided in the embodiment of the present application specifically includes the following steps:
First, it should be noted that a plurality of system databases added to the industrial internet are connected to a plurality of corresponding industrial systems. The industrial system is a system for providing services for industrial internet equipment, and the system database is used for storing application data of the industrial system.
In one embodiment of the application, in order to realize the sharing of industrial internet data, after a plurality of system databases are added to the industrial internet, a plurality of industrial systems corresponding to the plurality of system databases are firstly determined to be connected, and the types of a plurality of data storage nodes contained in each industrial system are determined. It should be noted that the data storage node is used for writing data to the corresponding system database. In addition, the data storage node according to the embodiment of the present application may be a specific industrial internet device (including but not limited to a sensor, etc.), or may be a sub-module in an industrial system.
Further, after the types of the data storage nodes in each industrial system are included, determining a first identification code prefix corresponding to each data storage node based on the types of the data storage nodes and a system database corresponding to the data storage nodes; it is to be understood that the first identification prefix is used to indicate the type of data stored by the corresponding storage node. For example: if the number of a certain system database is "1", the identification code corresponding to the system database is determined to be "A1", a certain data storage node corresponding to the system database stores temperature data, and if the temperature data is "02" in the identification code specification, the data storage node stores data in the system database, and the first prefix identification corresponding to the data storage node is "a 102".
Further, it is understood that one system database corresponds to a plurality of data storage nodes, and thus one database corresponds to a plurality of first prefix identifiers. After the first identification code prefixes corresponding to the data storage nodes are determined, the identification code prefixes corresponding to the system databases are sent to the corresponding system databases, so that the system databases generate corresponding identification codes for each data based on the corresponding first identification code prefixes.
In one embodiment of the present application, after determining the first identifier code prefix corresponding to each data storage node, the system database may also be directly accessed, so as to generate a corresponding identifier code for each data in the database.
In an embodiment of the application, after the corresponding identification code is generated for each data, the corresponding data storage address of each data in the corresponding system database is also determined, and an address mapping relation with the identification code is established based on the data storage address, so that operations such as extraction or modification of the data can be realized based on the address mapping relation. In addition, the identification codes are sorted according to the prefix types to generate an identification code catalogue; it will be appreciated that the prefix type is used to describe the type of data corresponding to the corresponding identifier code prefix.
And 102, under the condition of receiving an identification analysis request instruction sent by a client, determining data to be read in a plurality of system databases based on the identification analysis request instruction, and extracting the data to be read.
In an embodiment of the application, after a corresponding identification code is generated for each data in each system database, if an identification analysis request instruction sent by a client is received, data to be read is determined in a plurality of system databases based on the identification analysis request instruction, and the data to be read is extracted.
Specifically, the identifier analysis request instruction is analyzed to determine a second identifier prefix contained in the identifier analysis request instruction; and the second identification prefix is used for indicating the type of the required data to be read. And determining the identification code of the data to be read in the identification code directory based on the second identification code prefix. And after the identification code of the data to be read is determined, determining the corresponding storage address of the data to be read through the corresponding address mapping relation, and extracting the data to be read based on the storage address of the data to be read.
And 103, converting the format of the extracted data to be read to generate standard data with a uniform format.
In an embodiment of the present application, since the data in each system database is heterogeneous data with different formats, in order to achieve uniformity of the data to be read, after the corresponding data to be read is extracted, format conversion needs to be performed on the extracted data to be read, so as to generate standard data with a uniform format.
Specifically, a preset conversion rule corresponding to each data to be read is determined. It can be understood that, in order to convert the data in each system database into the standard data, each system database has a corresponding preset conversion rule, so that the data stored therein can be converted into the standard data. And based on a preset conversion rule, performing format conversion on the data to be read, namely converting the data to be read into standard data with a uniform format.
And step 104, determining a data mapping table of the standard data, generating a standard data table based on the data mapping table, and sending the standard data table to the client.
In one embodiment of the present application, after the data to be read is converted into standard data with a uniform format, a data mapping table is determined according to the standard data. It should be noted that the data mapping table is used for carrying these standard data. After determining the data mapping table, a standard data table is generated based on the data mapping table.
Specifically, a plurality of data types contained in standard data are identified and determined, and a plurality of data columns are generated based on the plurality of data types; and generating a data mapping table corresponding to the standard data based on the plurality of data columns, and transmitting the standard data into the data mapping table to generate the standard data table.
Further, the standard data table is sent to the client sending the identifier analysis request, and then the data sharing can be completed.
In an embodiment of the application, the method further includes, after the identification code directory is generated, determining a data type required by the preset application data model according to a preset data requirement rule of the preset application data model; the application data model is a set of data adopted for data analysis of a specific application scene; determining a plurality of third identification code prefixes based on the data types required by the preset application data model, and extracting data from a plurality of system databases based on the plurality of third identification code prefixes to generate corresponding application data models; it is to be understood that the third identification prefix is used to preset the data type of the partial data required for applying the data model. Converting the application data model into a standard application data model based on a preset conversion rule corresponding to each data in the application data model; the standard application data model is encoded to determine a corresponding model identification code.
Further, under the condition that a client has a read application data model, if an application data model calling instruction sent by the client is received, the application data model calling instruction is analyzed to determine a model identification code contained in the application data model calling instruction; based on the model identification code, the standard application data model is extracted.
Based on the same inventive concept, the embodiment of the present application further provides an apparatus, and the internal structure of the apparatus is shown in fig. 2.
Fig. 2 is a schematic view of an internal structure of an apparatus according to an embodiment of the present application. As shown in fig. 2, the apparatus includes: a processor 201; a memory 202 having stored thereon executable instructions that, when executed, cause the processor 201 to perform a method as described above.
In an embodiment of the present application, the processor 201 is configured to encode data in a plurality of system databases added to the industrial internet based on a preset encoding rule, so as to determine an identification code corresponding to each data in each system database; under the condition of receiving an identification analysis request instruction sent by a client, determining data to be read in a plurality of system databases based on the identification analysis request instruction, and extracting the data to be read; carrying out format conversion on the extracted data to be read so as to generate standard data with uniform format; and determining a data mapping table of the standard data, generating a standard data table based on the data mapping table, and sending the standard data table to the client.
Some embodiments of the present application provide a non-transitory computer storage medium corresponding to one of fig. 1, storing computer-executable instructions configured to:
based on a preset coding rule, coding data in a plurality of system databases added to the industrial Internet to determine an identification code corresponding to each data in each system database;
under the condition of receiving an identification analysis request instruction sent by a client, determining data to be read in a plurality of system databases based on the identification analysis request instruction, and extracting the data to be read;
carrying out format conversion on the extracted data to be read so as to generate standard data with uniform format;
and determining a data mapping table of the standard data, generating a standard data table based on the data mapping table, and sending the standard data table to the client.
The embodiments in the present application are described in a progressive manner, and the same and similar parts among the embodiments can be referred to each other, and each embodiment focuses on the differences from the other embodiments. Especially, for the internet of things device and medium embodiments, since they are substantially similar to the method embodiments, the description is simple, and the relevant points can be referred to the partial description of the method embodiments.
The system and the medium provided by the embodiment of the application correspond to the method one to one, so the system and the medium also have the beneficial technical effects similar to the corresponding method.
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.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that 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 description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art to which the present application pertains. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. A method for sharing industrial Internet data, which is characterized by comprising the following steps:
based on a preset coding rule, coding data in a plurality of system databases added to the industrial Internet to determine an identification code corresponding to each data in each system database;
under the condition of receiving an identification analysis request instruction sent by a client, determining data to be read in the system databases based on the identification analysis request instruction, and extracting the data to be read;
carrying out format conversion on the extracted data to be read so as to generate standard data with uniform format;
and determining a data mapping table of the standard data, generating a standard data table based on the data mapping table, and sending the standard data table to the client.
2. The method for sharing industrial internet data according to claim 1, wherein encoding data in a plurality of system databases added to the industrial internet based on a preset encoding rule specifically comprises:
determining a plurality of industrial systems corresponding to the plurality of system databases, and determining the types of a plurality of data storage nodes contained in each industrial system; the data storage nodes are used for writing data to corresponding system databases; the industrial system is a system for providing services to industrial internet equipment;
determining a first identification code prefix corresponding to each data storage node based on the type of the data storage node and a system database corresponding to the data storage node; the first identification prefix is used for representing the type of data stored in a corresponding storage node;
and sending the plurality of identification code prefixes corresponding to the system databases to the corresponding system databases so that the system databases generate corresponding identification codes for each data based on the corresponding first identification code prefixes.
3. The method for sharing industrial internet data according to claim 1, wherein after encoding the data in the system databases added to the industrial internet based on a preset encoding rule to determine the identification code corresponding to each data in each system database, the method further comprises:
determining the corresponding data storage address of each data in the corresponding system database, and establishing an address mapping relation with the identification code based on the data storage address; and the number of the first and second groups,
sorting the identification codes according to prefix types to generate an identification code catalog; and the prefix type is used for describing the type of data corresponding to the corresponding identifier code prefix.
4. The method for sharing industrial internet data according to claim 3, wherein the determining of the data to be read in the plurality of system databases based on the identifier parsing request instruction and the extracting of the data to be read specifically include:
analyzing the identifier analysis request instruction to determine a second identifier code prefix contained in the identifier analysis request instruction; the second identification prefix is used for representing the type of the data to be read;
determining the identification code of the data to be read in the identification code directory based on the second identification code prefix;
and determining a corresponding data storage address to be read through a corresponding address mapping relation based on the identification code of the data to be read, and extracting the data to be read based on the data storage address to be read.
5. The method for sharing industrial internet data according to claim 1, wherein format conversion is performed on the extracted data to be read to generate standard data with a uniform format, and specifically comprises:
determining a preset conversion rule corresponding to the data to be read; each system database has a corresponding preset conversion rule so that the data stored in the system database can be converted into standard data;
and performing format conversion on the data to be read based on the preset conversion rule to generate standard data with a uniform format.
6. The method for sharing industrial internet data according to claim 1, wherein a data mapping table of the standard data is determined, and a standard data table is generated based on the data mapping table, and specifically comprises:
determining a plurality of data types contained in the standard data, and generating a plurality of data columns based on the plurality of data types;
and generating a data mapping table corresponding to the standard data based on the data columns, and transmitting the standard data into the data mapping table to generate a standard data table.
7. The method for sharing industrial internet data according to claim 3, wherein after the generating the identification code directory, the method further comprises:
determining a data type required by a preset application data model; wherein the application data model is a collection of data employed for data analysis of a particular application scenario;
determining a plurality of third identification code prefixes based on the data types required by the preset application data model, and extracting data in the plurality of system databases based on the plurality of third identification code prefixes to generate corresponding application data models; the third identification prefix is used for presetting the data type of partial data required by the application data model;
converting the application data model into a standard application data model based on a preset conversion rule corresponding to each data in the application data model;
encoding the standard application data model to determine a corresponding model identification code.
8. The method for sharing industrial internet data according to claim 7, further comprising:
under the condition that an application data model calling instruction sent by the client is received, analyzing the application data model calling instruction to determine a model identification code contained in the application data model calling instruction;
and extracting the standard application data model based on the model identification code.
9. An apparatus for sharing industrial internet data, the apparatus comprising:
a processor;
and a memory having executable code stored thereon, which when executed, causes the processor to perform a method as claimed in any one of claims 1-8.
10. A shared non-volatile computer storage medium of industrial internet data, storing computer-executable instructions, the computer-executable instructions configured to:
based on a preset coding rule, coding data in a plurality of system databases added to the industrial Internet to determine an identification code corresponding to each data in each system database;
under the condition of receiving an identification analysis request instruction sent by a client, determining data to be read in the system databases based on the identification analysis request instruction, and extracting the data to be read;
carrying out format conversion on the extracted data to be read so as to generate standard data with uniform format;
and determining a data mapping table of the standard data, generating a standard data table based on the data mapping table, and sending the standard data table to the client.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115510159A (en) * | 2022-09-26 | 2022-12-23 | 煤炭科学研究总院有限公司 | Data sharing method and device based on coal industry theme domain and electronic equipment |
| CN116701563A (en) * | 2023-08-08 | 2023-09-05 | 佳瑛科技有限公司 | Unstructured data processing method and related device based on distributed server |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115510159A (en) * | 2022-09-26 | 2022-12-23 | 煤炭科学研究总院有限公司 | Data sharing method and device based on coal industry theme domain and electronic equipment |
| CN115510159B (en) * | 2022-09-26 | 2024-04-05 | 煤炭科学研究总院有限公司 | Data sharing method and device based on coal industry theme zone and electronic equipment |
| CN116701563A (en) * | 2023-08-08 | 2023-09-05 | 佳瑛科技有限公司 | Unstructured data processing method and related device based on distributed server |
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