CN113222643A - Big data middling platform application system based on float industry - Google Patents
Big data middling platform application system based on float industry Download PDFInfo
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- CN113222643A CN113222643A CN202110418194.7A CN202110418194A CN113222643A CN 113222643 A CN113222643 A CN 113222643A CN 202110418194 A CN202110418194 A CN 202110418194A CN 113222643 A CN113222643 A CN 113222643A
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Abstract
本发明公开了一种基于浮法产业大数据中台应用系统，包括企业端和中台中间层，所述企业端包括搜索模块和目标获取模块，所述中台中间层包括安保模块、交互模块、数据管理模块、数据库和数据应用模块，所述数据管理模块包括数据扩展单元、数据统一单元、数据转换单元和数据聚合单元，所述数据应用模块包括产业客户管理单元、业务单元和产品单元，所述搜索模块和目标获取模块连接。本发明通过中台中间层，使多个企业端可以共享信息，通过数据管理模块对数据进行整合、转换和扩展，数字化实时向多个企业端进行数据处理，引领企业数字化创新，整体性高，规划性好，通过安保模块对中台中间层进行密码，可以通过认证的企业端才可以登录。
The invention discloses a mid-stage application system based on float industry big data, comprising an enterprise end and a mid-stage middle layer, the enterprise end includes a search module and a target acquisition module, and the middle-stage middle layer includes a security module and an interaction module , a data management module, a database and a data application module, the data management module includes a data expansion unit, a data unification unit, a data conversion unit and a data aggregation unit, the data application module includes an industrial customer management unit, a business unit and a product unit, The search module is connected with the target acquisition module. The invention enables multiple enterprise ends to share information through the middle layer of the middle platform, integrates, converts and expands the data through the data management module, digitally processes data to multiple enterprise ends in real time, leads the digital innovation of enterprises, and has high integrity. The planning is good. The security module is used to pass the password to the middle layer of the middle platform, and only the enterprise terminal that can pass the authentication can log in.
Description
Technical Field
The invention relates to the field of industrial big data middling application systems, in particular to a float industry-based big data middling application system.
Background
Glass is an amorphous inorganic non-metallic material, and is generally prepared by using various inorganic minerals (such as quartz sand, borax, boric acid, barite, barium carbonate, limestone, feldspar, soda ash and the like) as main raw materials and adding a small amount of auxiliary raw materials. Its main components are silicon dioxide and other oxides. [1] ordinary glass has a chemical composition of Na2SiO3, CaSiO3, SiO2, Na 2O. CaO.6SiO 2, etc., and the main component is a silicate double salt, which is an amorphous solid with a random structure. The light-transmitting composite material is widely applied to buildings, is used for isolating wind and transmitting light, and belongs to a mixture. Colored glass in which an oxide or salt of a certain metal is mixed to develop a color, tempered glass produced by a physical or chemical method, and the like are also available. Some transparent plastics, such as polymethylmethacrylate, are sometimes also referred to as plexiglas.
In the past 20 years, with the rapid development of PC internet and mobile internet and the red profit of consumption internet, many companies develop at high speed to carry out large-scale business expansion, the business expansion speed is fast enough, and the business complexity is higher and higher, but with the problem, a large amount of system and technology repeated construction and resource waste phenomena occur inside the companies. The existing services are isolated from each other, no sharing and cooperation of data, technology, personnel and the like exist, the existing services look like integral services and IT planning, and are really alliances of a plurality of small organizations, cooperation and combination effects cannot be formed, and the chimney stands and wars respectively. When an enterprise develops a new business, the enterprise can find that all things need to start from the beginning and cannot be supported by a bottom-layer team, the starting speed of the new business is low, and the reusability of resources is too low.
Disclosure of Invention
The invention aims to solve the defects in the prior art and provides a large data middlebox application system based on the float industry.
In order to achieve the purpose, the invention adopts the following technical scheme:
a big data middling application system based on a float industry comprises an enterprise end and a middling layer, wherein the enterprise end comprises a searching module and a target obtaining module, the middling layer comprises a security module, an interaction module, a data management module, a database and a data application module, the data management module comprises a data expansion unit, a data unification unit, a data conversion unit and a data aggregation unit, the data application module comprises an industry customer management unit, a service unit and a product unit, the searching module is connected with the target obtaining module, the security module is respectively connected with the target obtaining module and the interaction module, the interaction module is connected with the data management module, the data expansion unit, the data unification unit, the data conversion unit and the data aggregation unit are sequentially connected with one another, and the data aggregation unit is connected with the database, the database is connected with the interaction module, the data application module is connected with the database, and the product unit comprises product development, product description, product quality inspection, product sales volume, after-sale product and product use feeling feedback.
Preferably, the data unification unit unifies data obtained from the interaction module, the data conversion unit converts the data in the data unification unit, the data aggregation unit aggregates the data converted by the data conversion unit, and the data expansion unit expands the data in the interaction module.
Preferably, the security module is unlocked by one of password, fingerprint, handprint and face recognition.
Preferably, the product unit collects development, description, quality inspection, sales volume, after-sale and use feeling feedback of the products produced by the enterprises.
Preferably, a storage module is installed in the database, and the storage module stores data in real time.
Preferably, the business units include an inventory center, a store process, an evaluation center, a process center, and a buyer center.
Preferably, the industry customer management unit automatically arranges the customer information and integrates the purchasing crowd, the purchasing time and the purchasing place.
Preferably, the business unit enables the business staff to quickly know the product condition through the inventory center, the store processing center, the evaluation center, the flow center and the buyer center.
The invention has the beneficial effects that:
the invention can enable a plurality of enterprise terminals to share information through the middle layer of the middle platform, integrates, converts and expands data through the data management module, digitally processes the data to the plurality of enterprise terminals in real time, leads the digital innovation of the enterprises, and has high integrity and good planning performance.
The invention introduces the whole product in detail through the product unit, and the product unit collects development, explanation, quality inspection, sales volume, after-sale and use feeling feedback of the product produced by enterprises.
3, the invention carries out password on the middle layer of the centering through the security module, and can log in only through the authenticated enterprise end.
Drawings
Fig. 1 is a schematic structural diagram of a floating industry big data-based middlebox application system according to the present invention.
Fig. 2 is a block diagram illustrating a product unit based on a float industry midcourse application system according to the present invention.
Fig. 3 is a block diagram illustrating a service unit based on a float industry midcourse application system according to the present invention.
Detailed Description
The technical solutions 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.
Referring to fig. 1-3, a floating production industry big data middlebox based application system comprises an enterprise end and a middlebox, wherein the enterprise end comprises a search module and a target acquisition module, the middlebox comprises a security module, an interaction module, a data management module, a database and a data application module, the data management module comprises a data expansion unit, a data unification unit, a data conversion unit and a data aggregation unit, the data application module comprises an industry client management unit, a service unit and a product unit, the search module is connected with the target acquisition module, the security module is respectively connected with the target acquisition module and the interaction module, the interaction module is connected with the data management module, the data expansion unit, the data unification unit, the data conversion unit and the data aggregation unit are sequentially connected with each other, and the data aggregation unit is connected with the database, the system comprises a database, a data application module, a data integration unit, a data aggregation unit, a data expansion unit, a security module, a storage module and a data transmission unit, wherein the database is connected with an interaction module, the data application module is connected with the database, the product unit comprises product development, product description, product quality inspection, product sales volume, after-sale product and product use feeling feedback, the data integration unit integrates data obtained from the interaction module, the data conversion unit converts data in the data integration unit, the data aggregation unit aggregates data converted by the data conversion unit, the data expansion unit expands data in the interaction module, the security module is unlocked through one of password, fingerprint, handprint and face recognition, the product unit develops, describes, examines, sells, after-sale and uses feeling feedback to the product produced by an enterprise, the storage module is installed in the database and stores the data in real time, the business unit comprises an inventory center, a shop processing center, an evaluation center, a flow center and a buyer center, the industry customer management unit automatically sorts customer information and integrates purchasing crowd, purchasing time and purchasing place, and the business unit enables a salesman to quickly know the product condition through the inventory center, the shop processing center, the evaluation center, the flow center and the buyer center.
The working principle is as follows: in the invention, an enterprise can log in an enterprise end, enter a target acquisition module through a search module, enter a middle stage middle layer and then enter a security module, can automatically select one of password, fingerprint, handprint and face recognition to unlock when logging in the security module for the first time, unlock in a starting selection mode when logging in the security module again, transmit data into a data management module through an interaction module, uniformly integrate the data through a data unifying unit, convert the uniformly integrated data through a data conversion unit, aggregate the converted data through a data aggregation unit, transmit the aggregated data into a database through the data aggregation unit, integrate the aggregated data through the database, process the data in the database through a data application module, manage client information through an industrial client management unit in the data application module, the industrial customer management unit automatically arranges the customer information, integrates the purchasing crowd, the purchasing time and the purchasing place, the business unit quickly knows the product condition through the inventory center, the shop processing center, the evaluation center, the flow center and the buyer center, and the product unit collects the development, explanation, quality inspection, sales volume, after-sale and use feeling feedback of the products produced by the enterprise.
In the description of the present invention, it is to be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", and the like, indicate orientations and positional relationships based on those shown in the drawings, and are used only for convenience of description and simplicity of description, and do not indicate or imply that the equipment or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be considered as limiting the present invention.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (8)
1. A big data middlebox application system based on a float industry is characterized by comprising an enterprise end and a middlebox, wherein the enterprise end comprises a search module and a target acquisition module, the middlebox comprises a security module, an interaction module, a data management module, a database and a data application module, the data management module comprises a data expansion unit, a data unification unit, a data conversion unit and a data aggregation unit, the data application module comprises an industry client management unit, a service unit and a product unit, the search module is connected with the target acquisition module, the security module is respectively connected with the target acquisition module and the interaction module, the interaction module is connected with the data management module, the data expansion unit, the data unification unit, the data conversion unit and the data aggregation unit are sequentially connected with one another, and the data aggregation unit is connected with the database, the database is connected with the interaction module, the data application module is connected with the database, and the product unit comprises product development, product description, product quality inspection, product sales volume, after-sale product and product use feeling feedback.
2. The float industry big data-based middlebox application system according to claim 1, wherein the data unifying unit unifies data obtained from the interaction module, the data converting unit converts data in the data unifying unit, the data aggregating unit aggregates data converted by the data converting unit, and the data expanding unit expands data in the interaction module.
3. The system of claim 1, wherein the security module is unlocked by one of password, fingerprint, handprint and face recognition.
4. The system of claim 1, wherein the product unit collects development, description, quality inspection, sales volume, after-sales and usage feedback of the product produced by the enterprise.
5. The float industry big data base application system according to claim 1, wherein a storage module is installed in the database, and the storage module stores data in real time.
6. The system of claim 1, wherein the business units comprise an inventory center, a store processing center, an evaluation center, a process center, and a buyer center.
7. The float industry big data-based middlebox application system as claimed in claim 1, wherein said industry customer management unit automatically collates customer information and integrates purchasing population, purchasing time and purchasing location.
8. The float industry big data center-based application system as claimed in claim 6, wherein the business unit is capable of making the business staff quickly know the product condition through the inventory center, the store processing center, the evaluation center, the process center and the buyer center.
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Cited By (1)
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