CN111400292A - Data cloud service conversion method, server and system - Google Patents
Data cloud service conversion method, server and system Download PDFInfo
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- CN111400292A CN111400292A CN202010156647.9A CN202010156647A CN111400292A CN 111400292 A CN111400292 A CN 111400292A CN 202010156647 A CN202010156647 A CN 202010156647A CN 111400292 A CN111400292 A CN 111400292A
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- 238000006243 chemical reaction Methods 0.000 title claims abstract description 61
- 238000000034 method Methods 0.000 title claims abstract description 34
- 238000004140 cleaning Methods 0.000 claims abstract description 36
- 238000012545 processing Methods 0.000 claims abstract description 23
- 238000013499 data model Methods 0.000 claims description 9
- 238000007418 data mining Methods 0.000 claims description 8
- 206010028980 Neoplasm Diseases 0.000 claims description 3
- 238000013528 artificial neural network Methods 0.000 claims description 3
- 238000004422 calculation algorithm Methods 0.000 claims description 3
- 238000007621 cluster analysis Methods 0.000 claims description 3
- 238000003066 decision tree Methods 0.000 claims description 3
- 238000012417 linear regression Methods 0.000 claims description 3
- 238000007477 logistic regression Methods 0.000 claims description 3
- 238000007637 random forest analysis Methods 0.000 claims description 3
- 238000012706 support-vector machine Methods 0.000 claims description 3
- 230000009466 transformation Effects 0.000 claims 1
- 238000004891 communication Methods 0.000 description 4
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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
- G06F16/215—Improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors
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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
- G06F16/25—Integrating or interfacing systems involving database management systems
- G06F16/258—Data format conversion from or to a database
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/60—Protecting data
- G06F21/602—Providing cryptographic facilities or services
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
Abstract
The invention relates to the technical field of data service conversion, and particularly discloses a conversion method for data cloud servitization, wherein the conversion method comprises the following steps: receiving data information uploaded by a user side; carrying out data cleaning conversion on the data information to obtain cleaning conversion data information; sending the cleaning conversion data information to a cloud server for data processing; receiving service information after the data processing of the cloud server; and pushing the service information to the user side. The invention also discloses a server and a data cloud service conversion system. According to the data cloud service conversion method provided by the invention, the data information is cleaned and converted, then uploaded to the cloud service terminal for processing, and finally pushed to the user terminal.
Description
Technical Field
The invention relates to the technical field of data service conversion, in particular to a data cloud servitization conversion method, a server and a data cloud servitization conversion system comprising the server.
Background
For database data, the traditional method is based on a self-developed system to analyze and store self data, but no quick and effective method is available for converting data, and the utilization of data is still in the application level of self service requirements. The same is true for the internal services of the users, and the users only need to cooperate with the existing services of the users to develop and use the services, so that a great deal of development labor and cost are invested, and the received effects often cannot reach the expected targets. Resulting in a large waste of resources. For the third-party services, secondary development is performed on documents provided by the third-party services, and deep mining is not performed on data displayed by the provided services. In addition, for file data, a plurality of files are disordered, and it is difficult to effectively perform file management, extraction, mining, analysis and calculation of the file data, thereby causing waste of resources or failing to process the data.
Disclosure of Invention
The invention provides a data cloud servitization conversion method, a server and a data cloud servitization conversion system comprising the server, and solves the problem that data file services and the like in the related technology are disordered and lack of effective utilization.
As a first aspect of the present invention, there is provided a conversion method for data cloud servitization, including:
receiving data information uploaded by a user side;
carrying out data cleaning conversion on the data information to obtain cleaning conversion data information;
sending the cleaning conversion data information to a cloud server for data processing;
receiving service information after the data processing of the cloud server;
and pushing the service information to the user side.
Further, the data information includes: data, services, and files.
Further, the step of sending the cleaning conversion data information to a cloud server for data processing includes:
and sending the cleaning conversion data information to a cloud server for data mining and data encryption.
Further, the data mining comprises matching the cleaning conversion data information with a data model to obtain a new service.
Further, the data model includes: any one or more of cluster analysis, kmeans, iris clustering, decision trees, tumor patient prediction, support vector machine, iris classification, logistic regression, gaussian naive bayes, linear regression, random forests, neural networks, correlation algorithms, FP-growth, and dbscan.
Further, the data encryption includes encrypting part or all of the cleansing translation data information.
As another aspect of the present invention, there is provided a server, including:
the first receiving module is used for receiving data information uploaded by a user side;
the data cleaning and converting module is used for cleaning and converting the data information to obtain cleaning and converting data information;
the sending module is used for sending the cleaning conversion data information to a cloud server for data processing;
the second receiving module is used for receiving the service information after the data processing of the cloud server;
and the pushing module is used for pushing the service information to the user side.
As another aspect of the present invention, there is provided a data cloud-serviced conversion system, including: the system comprises a user side, a cloud server side and the server, wherein the user side is in communication connection with the server, and the server is in communication connection with the cloud server side.
According to the data cloud service conversion method provided by the invention, the data information is cleaned and converted, then uploaded to the cloud service terminal for processing, and finally pushed to the user terminal.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a flowchart of a conversion method for data cloud servitization provided by the present invention.
Fig. 2 is a block diagram of a specific embodiment of a data cloud servization conversion method provided by the present invention.
Fig. 3 is a block diagram of another specific embodiment of the conversion method for data cloud servitization provided by the present invention.
Fig. 4 is a specific block diagram of the cloud server processing provided by the present invention.
Detailed Description
It should be noted that the embodiments and features of the embodiments may be combined with each other without conflict. The present invention will be described in detail below with reference to the embodiments with reference to the attached drawings.
In order to make those skilled in the art better understand the technical solution of the present invention, the technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, 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 invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged under appropriate circumstances in order to facilitate the description of the embodiments of the invention herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In this embodiment, a data cloud servization conversion method is provided, and fig. 1 is a flowchart of a data cloud servization conversion method provided according to an embodiment of the present invention, as shown in fig. 1, including:
s110, receiving data information uploaded by a user side;
s120, performing data cleaning and conversion on the data information to obtain cleaning and conversion data information;
s130, sending the cleaning conversion data information to a cloud server for data processing;
s140, receiving service information after the data processing of the cloud server;
s150, the service information is pushed to the user side.
According to the data cloud service conversion method provided by the embodiment of the invention, the data information is cleaned and converted, then uploaded to the cloud service terminal for processing, and finally pushed to the user terminal.
The following describes in detail a conversion method for data cloud servitization provided by an embodiment of the present invention with reference to fig. 2 to 4.
Specifically, the data information includes: data, services, and files.
The user side can select the type of the service, data or file to be uploaded, the data, the service or the file is submitted, the server enters a data cleaning and converting process, and the data cleaning and converting process is uploaded to the cloud service side for calculation according to the service or the data.
Specifically, the sending the cleaning conversion data information to a cloud server for data processing includes:
and sending the cleaning conversion data information to a cloud server for data mining and data encryption.
Specifically, the data mining includes matching the cleaning conversion data information with a data model to obtain a new service.
Preferably, the data model comprises: any one or more of cluster analysis, kmeans, iris clustering, decision trees, tumor patient prediction, support vector machine, iris classification, logistic regression, gaussian naive bayes, linear regression, random forests, neural networks, correlation algorithms, FP-growth, and dbscan.
The data models can be matched and mined according to the uploaded data services, and then the data models are pushed to the user side through the server to form a new service and some basic documents. And the server can upload data to the cloud server side, carry out AI intelligent analysis, and regularly push some new service and ability documents. As shown in fig. 4.
Specifically, the data encryption includes encrypting part or all of the cleansing translation data information.
The user enters the user center, can view the services pushed by the server, and then can perform a rule configuration and a capability document supplement on the services. After the service configuration is completed, the service can be submitted, the service can be pushed and encrypted to the management center, the management center performs secondary encryption calculation through the cloud server to generate an authorization key, the safety of the service is ensured, data is stored to prevent data from being lost, and then the authorization key is pushed to the gateway to form own private cloud service or public cloud service.
For example, if a user needs to screen data, the user side uploads the data to the server, the server cleans and converts the data to obtain the screened data, the server simultaneously uploads the screened data and all the data to the cloud server, the cloud server performs data mining on all the data through a data model and performs data encryption on the screened data, the data mining and the data encryption both form a service and return to the server, and the server pushes the service to the user side.
In summary, the data cloud servitization conversion method provided by the invention integrates scattered data and services, performs secondary cleaning and conversion on the data and the services, integrates the data in cooperation with big data analysis and AI intelligent conversion, and uploads the data to the cloud for encryption, so that the safety of the services is enhanced, and the use of the gateway can be opened to the outside or the inside.
As another embodiment of the present invention, there is provided a server, including:
the first receiving module is used for receiving data information uploaded by a user side;
the data cleaning and converting module is used for cleaning and converting the data information to obtain cleaning and converting data information;
the sending module is used for sending the cleaning conversion data information to a cloud server for data processing;
the second receiving module is used for receiving the service information after the data processing of the cloud server;
and the pushing module is used for pushing the service information to the user side.
According to the server provided by the embodiment of the invention, the data information is cleaned and converted, then uploaded to the cloud server side for processing, and finally pushed to the user side, so that the server can effectively integrate the scattered data information, and the waste of resources is avoided.
For a specific implementation of the server, reference may be made to the foregoing description of the data cloud serving conversion method, and details are not described here.
As another embodiment of the present invention, a data cloud-based conversion system is provided, including: the system comprises a user side, a cloud server side and the server, wherein the user side is in communication connection with the server, and the server is in communication connection with the cloud server side.
According to the data cloud service conversion system provided by the embodiment of the invention, the data information is cleaned and converted, then uploaded to the cloud service terminal for processing, and finally pushed to the user terminal, so that the scattered data information can be effectively integrated, and the waste of resources is avoided.
For a specific implementation of the data cloud-based conversion system, reference may be made to the foregoing description of the data cloud-based conversion method, and details are not described herein again.
It will be understood that the above embodiments are merely exemplary embodiments taken to illustrate the principles of the present invention, which is not limited thereto. It will be apparent to those skilled in the art that various modifications and improvements can be made without departing from the spirit and substance of the invention, and these modifications and improvements are also considered to be within the scope of the invention.
Claims (8)
1. A conversion method for data cloud service is characterized by comprising the following steps:
receiving data information uploaded by a user side;
carrying out data cleaning conversion on the data information to obtain cleaning conversion data information;
sending the cleaning conversion data information to a cloud server for data processing;
receiving service information after the data processing of the cloud server;
and pushing the service information to the user side.
2. The data cloud-serviced conversion method of claim 1, wherein the data information comprises: data, services, and files.
3. The conversion method of data cloud servization according to claim 1, wherein the step of sending the cleaning conversion data information to a cloud server for data processing comprises:
and sending the cleaning conversion data information to a cloud server for data mining and data encryption.
4. The data cloud-serviced conversion method of claim 3, wherein the data mining includes matching the cleaning conversion data information with a data model to obtain a new service.
5. The data cloud-serviced conversion method of claim 4, wherein the data model comprises: any one or more of cluster analysis, kmeans, iris clustering, decision trees, tumor patient prediction, support vector machine, iris classification, logistic regression, gaussian naive bayes, linear regression, random forests, neural networks, correlation algorithms, FP-growth, and dbscan.
6. The data cloud-serviced conversion method of claim 4, wherein the data encryption comprises encrypting some or all of the cleansing conversion data information.
7. A server, comprising:
the first receiving module is used for receiving data information uploaded by a user side;
the data cleaning and converting module is used for cleaning and converting the data information to obtain cleaning and converting data information;
the sending module is used for sending the cleaning conversion data information to a cloud server for data processing;
the second receiving module is used for receiving the service information after the data processing of the cloud server;
and the pushing module is used for pushing the service information to the user side.
8. A data cloud-serviced transformation system, comprising: the client, the cloud server, and the server of claim 7, the client being communicatively connected to the server, and the server being communicatively connected to the cloud server.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112231434A (en) * | 2020-10-21 | 2021-01-15 | 上海蜜度信息技术有限公司 | Information automatic distribution method and system, storage medium and terminal |
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