CN112181963A - Data processing method, device, server and storage medium for digital enterprise - Google Patents
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Abstract
The invention is applicable to the technical field of energy data processing, and provides a data processing method, a device, a server and a storage medium for a digital enterprise, wherein the method extracts and processes data after the enterprise is digitalized to generate second data added with enterprise information, further extracts and processes the data on the basis to generate third data describing the second data or the first data, and the third data is used as a data basis for the enterprise to interact with the outside, so that the convenience and the application value of the enterprise in data interaction are improved.
Description
Technical Field
The invention belongs to the technical field of data processing, and particularly relates to a data processing method, a data processing device, a server and a storage medium for digital enterprises.
Background
At present, a plurality of enterprises are subjected to digital transformation and upgrade, aspects of organization activities, processes, business modes, employee capabilities and enterprise equipment are digitized and stored as data, and the data obtained by the digital upgrade has great significance for the enterprises.
In practice, however, it has been found that there are different applications for the upgraded data, depending on the type of enterprise. For example, for energy-related enterprises, the data obtained by enterprise upgrading has important significance for the enterprises themselves, and also has very important role and significance for data interaction among the same type of enterprises. However, the existing energy enterprises are not aware of the data interaction problem among the enterprises in the early stage of digital upgrading, so that the obtained data is lack of interactivity. Specifically, the conventional management data system is biased toward the classification system, such as water consumption and power consumption, and is managed in one aspect. For example, when data of an enterprise is digitally managed, gas data, weather data, employee data, and the like can be obtained. However, if these data are interacted with, the gas data may be the same gas data of a plurality of enterprises for the external enterprises, so that the application value of data interaction is lost.
Therefore, how to further process the data generated by the digital upgrade of the energy enterprise to make it more interactive is a technical problem to be solved currently.
Disclosure of Invention
In view of this, embodiments of the present invention provide a data processing method, an apparatus, a server and a storage medium for a digital enterprise, so as to solve the problem in the prior art of how to further process data generated by digital upgrade of an energy enterprise, so that the data processing method is more interactive.
A first aspect of an embodiment of the present invention provides a data processing method for a digital enterprise, where the data processing method at least includes: acquiring first data generated by the business digitization processing of an enterprise; adding signature information of the enterprise to the first data to generate second data; according to a fixed data description format, cleaning the second data to generate third data at least containing the description of the first data/the second data; and saving the third data.
In some preferred embodiments, the above method further comprises: generating a data service interface for accessing the third data based on a data transmission protocol.
In some preferred embodiments, further comprising: classifying the third data according to multiple set safety control levels when generating a data service interface for the third data; the security control levels include at least: public, private and authorized; upon receiving a user request to access the data service interface; verifying whether the user request has authorization rights; if yes, returning third data with the security control level as authorization to the user; and if not, returning third data with public or/and private security control level to the user.
In some preferred embodiments, the acquiring first data generated by the business performing digital processing on the business includes: receiving first data uploaded by an enterprise business terminal according to a preset data structure; or/and receiving first data acquired by the enterprise business terminal according to a preset data grid structure.
In some preferred embodiments, said adding signature information of said enterprise to said first data, generating second data, comprises: extracting a designated data segment according to the data structure of the first data; and generating second data of a second data structure according to the data fragments and the signature information of the enterprise.
In some preferred embodiments, said adding signature information of said enterprise to said first data, generating second data, comprises: determining a first data length of the first data; and adding a data identifier containing the signature information of the enterprise on the basis of the first data length to generate second data with a second data length.
In some preferred embodiments, the cleansing the second data according to a fixed data description format to generate third data including a description of the first data includes: extracting specified data content in the first data or the second data; generating a description of the second data using the specified data content according to a fixed data description format; and adding the description in the second data to generate third data.
A second aspect of the embodiments of the present invention provides a data processing apparatus for a digital enterprise, where the data processing apparatus at least includes: the first data acquisition module is used for acquiring first data generated by the business digitalization processing of an enterprise; the second data generation module is used for adding signature information of the enterprise to the first data to generate second data; a third data generation module, configured to clean the second data according to a fixed data description format, and generate third data that at least includes descriptions of the first data/the second data; and the data storage module is used for storing the third data.
A third aspect of embodiments of the present invention provides a server, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the steps of the method according to any one of the first aspect when executing the computer program.
A fourth aspect of embodiments of the present invention provides a computer-readable storage medium, in which a computer program is stored, wherein the computer program, when executed by a processor, implements the steps of the method according to any one of the first aspect.
The invention has the beneficial effects that: the enterprise is subjected to data extraction and processing after being subjected to data transformation, second data added with enterprise information of the enterprise is generated, the data is further extracted and processed on the basis, third data describing the second data or the first data is generated and serves as a data basis for the enterprise to interact with the outside, and therefore convenience and application value of the enterprise in data interaction are improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed for the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
FIG. 1 is a flow chart of a digital enterprise oriented data processing method provided in one embodiment of the present invention;
FIG. 2 is a flow diagram of step S130 shown in FIG. 1 in one embodiment;
FIG. 3 is a flow chart of a digital enterprise oriented data processing method provided in another embodiment of the present invention;
FIG. 4 is a schematic diagram of a digital enterprise oriented data processing apparatus provided in one embodiment of the present invention;
fig. 5 is a system architecture to which the present invention is applicable to a digital enterprise-oriented data processing method or apparatus.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.
In order to explain the technical means of the present invention, the following description will be given by way of specific examples.
Example one
Fig. 1 is a flowchart of a data processing method for a digital enterprise according to an embodiment of the present invention.
As shown in fig. 1, the data processing method for digital enterprises specifically includes the following steps S110 to S140:
s110: first data generated by the business to digital processing is obtained.
Specifically, the first data may be data obtained by performing digital upgrade on an enterprise, or may be data obtained by performing secondary processing on data obtained by performing digital upgrade on an enterprise.
For example, the step S110 may specifically include: and receiving first data uploaded by the enterprise business terminal according to a preset data structure. Specifically, for an energy enterprise, the business terminals of the enterprise may be various energy devices, and the data structure refers to content included in a piece of complete data.
For example, the received first data is a boiler pressure generated by the boiler operation, wherein the data structure and the data content of the first data may be as shown in table 1 below:
data name | Data value | Creation time | Type (B) |
Zhongde industrial park No. 1 boiler pressure | 1.9Mpa | 2020-05-26T16:30 | Entity data |
TABLE 1
As can be seen from the above, in this example, the data structure of the first data includes: data name, data value, creation time, and type.
For example, the step S110 may further specifically include: and receiving first data acquired by the enterprise business terminal according to a preset data lattice structure. Specifically, the difference from the above example is that: the service terminal in the above example is an active generation data source, and in this example, a collection terminal such as a sensor is used to obtain the desired data.
For example, the first data received here may be the exhaust gas temperature collected by the boiler, wherein the data structure and the data content of the first data are similar to those in table 1 above, and therefore, the detailed description thereof is omitted here.
S120: and adding signature information of the enterprise to the first data to generate second data.
Specifically, the second data may be generated by directly adding enterprise information to a data structure of the first data; alternatively, the second data of the second data structure may be generated by extracting useful data from the first data.
For example, the step S120 may specifically include: extracting a designated data segment according to the data structure of the first data; and generating second data of a second data structure according to the data fragments and the signature information of the enterprise. Wherein, the first data is represented by a group of data, then the data represented by a specified position in the data bits contained in the group of data is the data segment.
For example, with the first data represented in table 1 above, it is assumed that a group of data represents a piece of first data, the data bit length of the group of data is 32 bits, wherein 1-6 bits can be used for representation: a data name; using a 7-16 bit representation: a data value; using 17-24 bits to represent: a creation time; using a 25-32 bit representation: type (b). Then, the second data may be generated in advance of the 1-24 bits of data therein and the signature information of the business.
For example, the step S120 may further specifically include: determining a first data length of a data bit number of first data; and adding a data digit containing the signature information of the enterprise on the basis of the first data length to generate second data with a second data length.
Similarly, assuming that the first data length of the first data is 32 bits, the first data length is added with a 16-bit data bit length to represent the signature information of the enterprise, so as to obtain a total 48-bit data (i.e. second data length) of the second data, as follows
Table 2:
TABLE 2
As can be seen from table 2 above, the number of data bits of the second data length is greater than that of the first data length.
S130: and cleaning the second data according to a fixed data description format to generate third data at least comprising the description of the first data/the second data.
Specifically, the data description format is a description of the content of each piece of data, and the description serves as a label understandable by a person or understandable by a computer.
In an exemplary embodiment, please refer to fig. 2, which is a flowchart illustrating step S130 shown in fig. 1 in an embodiment, and as shown in fig. 2, step S130 specifically includes the steps of:
s210: and extracting the specified data content in the first data or the second data.
Specifically, specifying data content refers to a field in the data structure, or a plurality of fields therein. For example, the "data name" in table 1, or, for example, the "type" in table 2 again.
For example, the step S210 may specifically include: extracting a specified data bit number of the first data or the second data; and analyzing the data bit number as the designated data content.
S220: generating a description of the second data using the specified data content according to a fixed data description format.
Specifically, the fixed data description format refers to a description in a fixed statement format. For example, the data description format may adopt "data for recording + extracting content/keyword + change", then in combination with the first data in table 1, the extracting content is the pressure of the boiler, and then the generated description is: for recording data of pressure changes of the boiler.
S230: and adding the description in the second data to generate third data.
As with the above-described addition of the company signature information, the third data may be generated by increasing the number of data bits, or the third data may be generated by extracting data pieces from the second data, and the specific embodiment may refer to the above-described example. For example, in conjunction with table 2, assuming that the second data is shown in table 2, the specific content of the third data may be as follows:
TABLE 3
The description in table 3 is a fixed data description format, and the meaning and value of the data can be identified through the description.
S140: and saving the third data.
By utilizing the data processing method facing the digital enterprises, after the enterprise business is digitized, the data is organized by taking each enterprise as a unit to form data points, so that the data interaction among energy enterprises is facilitated.
Fig. 3 is a flowchart of a data processing method for a digital enterprise according to another embodiment of the present invention.
As shown in fig. 3, the method may further include step S310: generating a data service interface for accessing the third data based on a data transmission protocol.
Wherein, the data transmission protocol can be preferably other than the HTTP protocol. It should be understood that, in addition to the above-mentioned HTTP Protocol, a data Transmission Protocol such as tcp (Transmission Control Protocol, chinese), ftp (File Transfer Protocol, chinese), etl (Extract-Transform-Load) may be used to generate a corresponding interface service so as to access the third data.
Specifically, in order to improve the security of data access, in practical applications, a security control level may be added to the third data, so as to control the user's access to the third data.
Illustratively, when a data service interface is generated for the third data, the third data is classified according to a plurality of set security control levels; wherein the security control levels comprise at least: public, private and authorized.
For example, see table 4 below for the third data with the added security control level:
TABLE 4
As can be seen from table 4 above, the access right of the third data can be controlled by the security control level, so that the reasonable use of the data can be realized.
On this basis, after the step S310, the method may further include the steps of: upon receiving a user request to access the data service interface; verifying whether the user request has authorization rights; if yes, returning third data with the security control level as authorization to the user; and if not, returning third data with public or/and private security control level to the user.
In summary, in this embodiment, the data transmission protocol is used, the identification connection line is formed through the enterprise information, and finally, the digital network is formed, so that the digital transmission of the enterprise data is facilitated.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
Example two
Under the general inventive concept of the above embodiment, the present embodiment also provides a data processing apparatus for digital enterprises.
Fig. 4 is a schematic diagram of a data processing apparatus for a digital enterprise according to an embodiment of the present invention.
As shown in fig. 4, the digital enterprise-oriented data processing apparatus 400 specifically includes: a first data obtaining module 410, configured to obtain first data generated by performing digital processing on a service by an enterprise; a second data generation module 420, configured to add signature information of the enterprise to the first data, and generate second data; a third data generating module 430, configured to clean the second data according to a fixed data description format, and generate third data that at least includes descriptions of the first data/the second data; a data saving module 440, configured to save the third data.
In some embodiments, the apparatus may further include: and the data interface module is used for generating a data service interface for accessing the third data based on a data transmission protocol.
Specifically, when a data service interface is generated for the third data, the third data is classified according to multiple set security control levels; the security control levels include at least: public, private and authorized.
Thus, in some embodiments, the data interface module may further include:
a data request receiving unit for receiving a user request for accessing the data service interface;
the authority verification unit is used for verifying whether the user request has authorization authority;
the first data response unit is used for returning third data with authorized security control level to the user if the third data exists;
and the second data response unit is used for returning third data with public or/and private security control level to the user if the third data is not available.
In some embodiments, the first data obtaining module 410 may specifically include:
the first acquisition unit is used for receiving first data uploaded by the enterprise business terminal according to a preset data structure;
and/or the second acquisition unit is used for receiving first data acquired by the enterprise business terminal according to a preset data grid structure.
In some embodiments, the second data generating module 420 may specifically include:
the data receiving unit is used for extracting the appointed data fragments according to the data structure of the first data;
and the first enterprise information adding unit is used for generating second data of a second data structure according to the data fragments and the signature information of the enterprises.
In some embodiments, the second data generating module 420 may specifically include:
a data bit number determination unit for determining a first data length of the first data;
and a second enterprise information adding unit configured to add a data identifier including the signature information of the enterprise to the first data length, and generate second data having a second data length.
In some embodiments, the third data generating module 430 may specifically include:
a specified data extraction unit configured to extract specified data content in the first data or the second data;
a description generation unit configured to generate a description of the second data using the specified data content according to a fixed data description format;
and the description information adding unit is used for adding the description in the second data to generate third data.
EXAMPLE III
In this embodiment, referring to fig. 5, a system architecture to which the data processing method or apparatus for digital enterprise according to the present invention can be applied is also provided.
As shown in fig. 5, the system architecture 500 may specifically include: a server 510 and a terminal device 520, wherein the server and the terminal device are used as a link medium for communication through a network, and data transmission of a data transmission protocol such as HTTP can be realized between the server and the terminal device.
With reference to the method of the foregoing embodiment, the server may be used as an execution subject of the method of embodiment one; further, the apparatus shown in the second embodiment may be installed in the server.
The terminal device may be an electronic device such as a computer or a mobile phone.
Wherein. The server may include software and hardware, and when the server is software, the server may be specifically database management software installed on the server, or management software of a cloud server, and the like; when the server is hardware, it may be specifically a database server, an application server, or the like. Alternatively, the server may be a combination of the above hardware and software.
Illustratively, the server may specifically include a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor executes the computer program to implement the steps of the method according to any one of the first embodiment.
Illustratively, the server may also be embodied as a storage medium. For example: may be a computer-readable storage medium storing a computer program which, when executed by a processor, performs the steps of the method according to any one of the embodiments.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.
Claims (10)
1. A data processing method for a digital enterprise is characterized by at least comprising the following steps:
acquiring first data generated by the business digitization processing of an enterprise;
adding signature information of the enterprise to the first data to generate second data;
according to a fixed data description format, cleaning the second data to generate third data at least containing the description of the first data/the second data;
and saving the third data.
2. The digital enterprise-oriented data processing method according to claim 1, further comprising:
generating a data service interface for accessing the third data based on a data transmission protocol.
3. The digital enterprise-oriented data processing method according to claim 2, further comprising:
classifying the third data according to multiple set safety control levels when generating a data service interface for the third data;
the security control levels include at least: public, private and authorized;
upon receiving a user request to access the data service interface;
verifying whether the user request has authorization rights;
if yes, returning third data with the security control level as authorization to the user;
and if not, returning third data with public or/and private security control level to the user.
4. The data processing method facing the digital enterprise as claimed in any one of claims 1-3, wherein the acquiring the first data generated by the business performing digital processing on the business comprises:
receiving first data uploaded by an enterprise business terminal according to a preset data structure;
or/and receiving first data acquired by the enterprise business terminal according to a preset data grid structure.
5. The digital enterprise-oriented data processing method according to claim 1, wherein the adding signature information of the enterprise to the first data to generate second data includes:
extracting a designated data segment according to the data structure of the first data;
and generating second data of a second data structure according to the data fragments and the signature information of the enterprise.
6. The digital enterprise-oriented data processing method according to claim 1, wherein the adding signature information of the enterprise to the first data to generate second data includes:
determining a first data length of the first data;
and adding a data identifier containing the signature information of the enterprise on the basis of the first data length to generate second data with a second data length.
7. The digital enterprise-oriented data processing method according to claim 1, 2, 3, 5 or 6, wherein the cleansing the second data according to a fixed data description format to generate third data including a description of the first data comprises:
extracting specified data content in the first data or the second data;
generating a description of the second data using the specified data content according to a fixed data description format;
and adding the description in the second data to generate third data.
8. A digital enterprise oriented data processing device, characterized in that the data processing device comprises at least:
the first data acquisition module is used for acquiring first data generated by the business digitalization processing of an enterprise;
the second data generation module is used for adding signature information of the enterprise to the first data to generate second data;
a third data generation module, configured to clean the second data according to a fixed data description format, and generate third data that at least includes descriptions of the first data/the second data;
and the data storage module is used for storing the third data.
9. A server comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the steps of the method according to any of claims 1 to 7 are implemented when the computer program is executed by the processor.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
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