CN112650922B - Two-in-one fusion platform and method - Google Patents

Two-in-one fusion platform and method Download PDF

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CN112650922B
CN112650922B CN202011526194.0A CN202011526194A CN112650922B CN 112650922 B CN112650922 B CN 112650922B CN 202011526194 A CN202011526194 A CN 202011526194A CN 112650922 B CN112650922 B CN 112650922B
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CN112650922A (en
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赵国祥
刘小茵
李尧
廖欣
许磊
彭军霞
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Guangzhou Ceprei Certification Body Service Co ltd
China Electronic Product Reliability and Environmental Testing Research Institute
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China Electronic Product Reliability and Environmental Testing Research Institute
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Abstract

The application relates to a binarization fusion platform and a method. A binary fusion platform comprising: the system comprises a binarization fusion resource pool, a service object and a result source, wherein the binarization fusion resource pool is used for acquiring industrial informationized source data, the source data comprises demand source data and result source data of a service object of a binarization fusion platform, and the service object comprises an information demand party and a result provider; the acquisition processing layer is used for carrying out data standardization processing on the source data to form standard data, wherein the standard data comprises demand data and result data, the demand data forms a demand hall, and the result data forms a result hall; the application support layer is used for acquiring target data according to the browsing selection of the service object on the demand hall or the achievement hall and generating order information according to the target data; and the comprehensive display layer is used for displaying the demand hall, the achievement hall, the target data and the order information. The method and the device can realize the technical butt joint of the demander and the supplier, and promote the propagation and application of the two-in-one.

Description

Two-in-one fusion platform and method
Technical Field
The application relates to the technical field of binarization fusion, in particular to a binarization fusion platform and a binarization fusion method.
Background
The two-in-one fusion refers to the wide application of electronic information technology to each link of industrial production, and informatization becomes a conventional means of industrial enterprise operation management. Currently, the state and various levels of governments are greatly pushing the transfer work of the two-way deep fusion and two-way fusion technology.
However, the spread and application of the two-way fusion technology in various industries and various areas are still to be promoted.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a two-level fusion platform and method.
A binary fusion platform, comprising:
the system comprises a binarization fusion resource pool, a service platform and a service platform, wherein the binarization fusion resource pool is used for acquiring industrial informationized source data, the source data comprises demand source data and result source data of a service object of the binarization fusion platform, and the service object comprises an information demand party and a result provider;
the acquisition processing layer is used for carrying out data standardization processing on the source data to form standard data, the standard data comprise demand data and result data, the demand data form a demand hall, and the result data form a result hall;
the application support layer is used for acquiring target data according to the browsing selection of the service object on the demand hall or the achievement hall and generating order information according to the target data;
and the comprehensive display layer is used for displaying the demand hall, the achievement hall, the target data and the order information.
According to the two-in-one fusion platform, target data can be obtained according to the browsing selection of the service object on the demand hall or the achievement hall, and order information is generated according to the target data, so that the technical butt joint of a demand party and a supplier is realized, and the propagation and application of two-in-one fusion are promoted.
In one embodiment, the application supporting layer is further configured to search according to a requirement, obtain result data matched with the requirement search as target data, and generate order information according to the target data; and/or the system is used for searching according to the result, acquiring the requirement data matched with the result search as target data, and generating order information according to the target data.
In one embodiment, the application support layer is further configured to follow up with an order status of the order information.
In one embodiment, the binarization fusion platform further comprises a shared implementation layer,
the application supporting layer is also used for carrying out data association processing on each standard data, and determining an association recommendation relationship between the standard data with the association relationship, wherein the association recommendation relationship comprises an association relationship between a technical element, a capital element, a talent element and a service element;
the sharing realization layer is used for pushing the associated recommendation data associated with the target data according to the target data and the associated recommendation relationship.
In one embodiment, the binarization fusion platform further comprises a shared implementation layer,
the application supporting layer is also used for determining the application times of the service object on the binarization fusion platform;
and if the application times of the service object are greater than the preset times, the sharing realization layer pushes service recommendation data corresponding to the service object according to the past access content of the service object.
A transfer method of a binary fusion technique, applying any of the binary fusion platforms described above, comprising:
acquiring industrial informationized source data, wherein the source data comprises demand source data and result source data of a service object of the two-in-one platform, and the service object comprises an information demand party and a result provider;
carrying out data standardization processing on the source data to form standard data, wherein the standard data comprises demand data and result data, the demand data forms a demand hall, and the result data forms a result hall;
and according to the browsing selection of the service object to the requirement hall or the achievement hall, acquiring target data, and generating order information according to the target data.
In one embodiment, the method further comprises:
according to the demand search, obtaining result data matched with the demand search as target data, and generating order information according to the target data; and/or, according to the result search, obtaining the demand data matched with the result search as target data, and generating order information according to the target data;
in one embodiment, the method further comprises:
and the order state of the order information is followed.
In one embodiment, after the acquiring the target data, the method further includes:
and pushing the associated recommendation data associated with the target data according to the target data and the associated recommendation relationship.
In one embodiment, the binarization fusion technique transfer method further includes:
according to the application times of the service object in the two-in-one platform;
and if the application times of the service object are greater than the preset times, pushing the service recommendation data corresponding to the service object according to the historical access content of the service object.
Drawings
In order to more clearly illustrate the technical solutions of embodiments or conventional techniques of the present application, the drawings required for the descriptions of the embodiments or conventional techniques will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person of ordinary skill in the art.
FIG. 1 is a flow diagram of a method of binarization fusion in one embodiment;
FIG. 2 is a flow chart of a method of fusion of two phases in another embodiment.
Detailed Description
In order to facilitate an understanding of the present application, a more complete description of the present application will now be provided with reference to the relevant figures. Examples of the present application are given in the accompanying drawings. This application may, however, be embodied in many different forms and is not limited to the embodiments described herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein in the description of the application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application.
As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and/or "comprising," and/or the like, specify the presence of stated features, integers, steps, operations, elements, components, or groups thereof, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, or groups thereof. Also, the term "and/or" as used in this specification includes any and all combinations of the associated listed items.
In one embodiment, as shown in fig. 1, a binarization fusion platform is provided, including a binarization fusion resource pool, an acquisition processing layer, and an application support layer.
The two-layer fusion resource pool is used for acquiring industrial informationized source data. The source data comprises demand source data and result source data of service objects of the two-in-one platform, and the service objects comprise information demand parties and result suppliers.
Specifically, it may be understood that the "object" in the present application may be a terminal device, an application, a website, such as a server, an enterprise application, etc. used by an enterprise or an enterprise, and may also include an account number, such as a public number, a microblog, etc. that is configured on an intermediate platform.
In particular, the source data in the two-way converged resource pool may contain data for multiple industries and/or multiple regions and/or multiple work scenarios.
It is to be understood that the source data is not limited to demand source data and outcome source data, but may also include data related to technical elements (e.g., technical tools), capital elements, talent elements (e.g., experts), and service elements (e.g., service providers). And the information demand party and the result provider can be enterprises, scientific research institutions, universities and colleges and the like.
The acquisition processing layer is used for carrying out data standardization processing on the source data, the standard data comprise demand data and result data, the demand data form a demand hall, and the result data form a result hall.
The acquisition processing layer may process the source data through a data acquisition processing system based on data warehouse technology (ETL) and job scheduling, as well as a data processing system that combines offline computing and real-time/near real-time computing. Meanwhile, standard data can be stored through a comprehensive database for storing structured and unstructured data, so that a demand hall and a result hall are formed.
The application supporting layer is used for obtaining target data according to the browsing selection of the service object on the demand hall or the achievement hall, and generating order information according to the target data.
The comprehensive display layer is used for displaying the demand hall, the achievement hall, the target data and the order information.
As an example, when an information demander uses the binary fusion platform of the present application, the achievement hall may be browsed through the comprehensive presentation layer. When the user browses the target data, the user can click on the target data on the display interface, and the application support layer can generate order information according to the target data, so that technical transactions of the demander and the supplier can be facilitated.
Or when the fruit provider uses the application two-way fusion platform, the requirement hall can be browsed through the comprehensive display layer. When the user browses the target data, the user can click on the target data on the display interface, and the application support layer can generate order information according to the target data, so that technical transactions of the demander and the supplier can be facilitated.
Therefore, the embodiment effectively realizes the technical butt joint of the demander and the supplier, and promotes the propagation and application of the two-in-one.
In one embodiment, the application support layer is further configured to obtain, as the target data, result data matching the demand search according to the demand search.
At this time, when the information demander uses the two-in-one fusion platform, the information demander can actively search the demand, so as to acquire the required target data, and further generate order information.
And/or the application supporting layer can be further used for acquiring the requirement data matched with the result searching as target data according to the result searching.
At this time, when the result provider uses the two-in-one fusion platform, the result provider can actively search results to obtain required target data, so as to generate order information.
In one embodiment, the application support layer is also used to follow up with the order status of the order information.
At this time, after the order information is generated, the offline staff can contact the two sides of the demand for the order information, so as to promote the technical trade between the information demand side and the result provider. Meanwhile, the states of various stages of the order (such as the stage of docking, the stage of docking completion, the stage of order approval and the like) can be recorded through the platform, so that the order state of the order information is followed.
In one embodiment, the application support layer is further configured to perform data association processing on each standard data, and determine an association recommendation relationship between the standard data with the association relationship. At this time, the application support layer supports more application expansion.
Specifically, the associated recommendation relationship includes an associated relationship between a technical element, a capital element, a talent element, and a service element. The application support layer can perform data association processing on each standard data through an algorithm library, a model library, various business logic libraries and application middleware related to association recommendation, so that association recommendation relations among the standard data with association relations are determined.
Meanwhile, the two-in-one fusion platform further comprises a sharing realization layer. The sharing implementation layer is used for pushing the associated recommendation data associated with the target data according to the target data (the target data which is acquired by the application support layer and matches with the access requirement) and the associated recommendation relationship.
When the service object uses the two-way fusion platform to perform demand access, the associated recommendation data can be browsed at the display interface and selected, so that a transaction order is formed.
At this time, the platform effectively merges important factors such as technology, capital, talents, services and the like in the two-in-one field.
In one embodiment, the binarization fusion platform further comprises a shared implementation layer.
Meanwhile, the application supporting layer is also used for determining the application times of the service object on the two-in-one platform.
The application support layer can record the application times of the service object in a cumulative way when the service object browses and accesses the two-way fusion platform each time.
When the application times of the service object are larger than the preset times, the sharing realization layer pushes the service recommendation data corresponding to the service object according to the historical access content of the service object. The preset times can be set according to actual requirements.
The embodiment can accurately position the requirements and service capacities of enterprises through the data image.
It is to be understood that in this application, a "layer" may represent, in some embodiments, a functional module that may perform a function.
In one embodiment, referring to fig. 1, a method for transferring a binary fusion technique is provided, where the application of the binary fusion platform includes:
step S2, acquiring industrial informationized source data, wherein the source data comprises demand source data and result source data of service objects of a two-in-one platform, and the service objects comprise information demand parties and result suppliers.
The source data may include data for multiple industries and/or multiple regions and/or multiple work scenarios.
And S4, carrying out data standardization processing on the source data to form standard data and a data tag, wherein the standard data comprises demand data and result data, the demand data forms a demand hall, and the result data forms a result hall.
The source data is processed by a data acquisition and processing system based on data warehouse technology (ETL) and job scheduling, and a data processing system combining offline computing and real-time/near real-time computing. At the same time, standard data may be stored by a comprehensive database storing structured and unstructured data.
And S6, acquiring target data according to the browsing selection of the service object on the demand hall or the achievement hall, and generating order information according to the target data.
The two-way fusion method in the embodiment realizes the technical butt joint of the demander and the supplier and promotes the propagation and application of the two-way fusion.
In one embodiment, referring to fig. 2, the binarization fusion method further comprises: step S5, searching according to the requirement, acquiring result data matched with the requirement searching as target data, and generating order information according to the target data; and/or, according to the result search, obtaining the demand data matched with the result search as target data, and generating order information according to the target data.
In one embodiment, the binarization fusion method further comprises: the order status of the order information is followed.
In one embodiment, after acquiring the target data, the method further comprises:
and S7, pushing the associated recommendation data associated with the target data according to the target data and the associated recommendation relationship.
Before that, data association processing may be performed on each standard data first, and an association recommendation relationship between standard data having an association relationship may be determined.
And carrying out data association processing on each standard data through an algorithm library, a model library, various business logic libraries and application middleware related to association recommendation, thereby determining the association recommendation relationship among the standard data with association relationship.
In one embodiment, the binarization fusion technique transfer method further comprises:
and S8, determining the application times of the service object on the two-level fusion platform according to the access requirement.
Step S9, if the application times of the service object are larger than the preset times, pushing the service recommendation data corresponding to the service object according to the previous access content of the service object.
The embodiment can accurately position the requirements and service capacities of enterprises through the data image.
It should be understood that, although the steps in the flowcharts of fig. 1-2 are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least a portion of the steps in fig. 1-2 may include multiple steps or stages that are not necessarily performed at the same time, but may be performed at different times, nor does the order in which the steps or stages are performed necessarily occur sequentially, but may be performed alternately or alternately with at least a portion of the steps or stages in other steps or other steps.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, or the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like.
In the description of the present specification, reference to the term "one embodiment," "some other embodiments," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, schematic descriptions of the above terms do not necessarily refer to the same embodiment or example.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples merely represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the invention. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application is to be determined by the claims appended hereto.

Claims (8)

1. A binary fusion platform, comprising:
the system comprises a binarization fusion resource pool, a service platform and a service platform, wherein the binarization fusion resource pool is used for acquiring industrial informationized source data, the source data comprises demand source data and result source data of a service object of the binarization fusion platform, and the service object comprises an information demand party and a result provider;
the acquisition processing layer is used for carrying out data standardization processing on the source data to form standard data, the standard data comprise demand data and result data, the demand data form a demand hall, and the result data form a result hall;
the application support layer is used for acquiring target data according to the browsing selection of the service object on the demand hall or the achievement hall and generating order information according to the target data;
the comprehensive display layer is used for displaying the demand hall, the achievement hall, the target data and the order information;
the two-in-one fusion platform also comprises a shared implementation layer,
the application supporting layer is also used for determining the application times of the service object on the binarization fusion platform;
and if the application times of the service object are greater than the preset times, the sharing realization layer pushes service recommendation data corresponding to the service object according to the past access content of the service object.
2. The two-in-one fusion platform of claim 1, wherein the application support layer is further configured to search according to a requirement, obtain result data matched with the requirement search as target data, and generate order information according to the target data; and/or the system is used for searching according to the result, acquiring the requirement data matched with the result search as target data, and generating order information according to the target data.
3. The bifurcating fusion platform of claim 1, wherein the application support layer is further configured to follow-up with an order status of the order information.
4. The two-way fusion platform of claim 1, further comprising a shared implementation layer,
the application supporting layer is also used for carrying out data association processing on each standard data, and determining an association recommendation relationship between the standard data with the association relationship, wherein the association recommendation relationship comprises an association relationship between a technical element, a capital element, a talent element and a service element;
the sharing realization layer is used for pushing the associated recommendation data associated with the target data according to the target data and the associated recommendation relationship.
5. A method for transferring a binary fusion technique, applying the binary fusion platform according to any one of claims 1 to 4, comprising:
acquiring industrial informationized source data, wherein the source data comprises demand source data and result source data of a service object of the two-in-one platform, and the service object comprises an information demand party and a result provider;
carrying out data standardization processing on the source data to form standard data, wherein the standard data comprises demand data and result data, the demand data forms a demand hall, and the result data forms a result hall;
according to the browsing selection of the service object to the demand hall or the achievement hall, acquiring target data, and generating order information according to the target data;
the transfer method of the two-way fusion technology further comprises the following steps:
according to the application times of the service object in the two-in-one platform;
and if the application times of the service object are greater than the preset times, pushing the service recommendation data corresponding to the service object according to the historical access content of the service object.
6. The method of claim 5, further comprising:
according to the demand search, obtaining result data matched with the demand search as target data, and generating order information according to the target data; and/or obtaining the demand data matched with the result search as target data according to the result search, and generating order information according to the target data.
7. The method of claim 5, further comprising:
and the order state of the order information is followed.
8. The method according to claim 5, further comprising, after the acquiring the target data:
and pushing the associated recommendation data associated with the target data according to the target data and the associated recommendation relationship.
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