CN113836168A - Big data processing system and method based on block chain - Google Patents
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Abstract
The invention discloses a big data processing system based on a block chain, which comprises: the system comprises an acquisition unit, a query unit and a query unit, wherein the acquisition unit is used for acquiring question data or input data of a client; a keyword extraction unit, configured to extract a keyword from the question data or the input data; a judging unit configured to judge whether the keyword includes a basic information keyword and a service information keyword; the matching unit is used for searching and acquiring the company full name and the company information matched with the basic information keyword in the block chain according to the basic information keyword; the matching unit is further used for searching and acquiring a second answer matched with the service information keyword in the block chain according to the company full name and the company information, and returning the second answer to the client; the block chain stores a service item collection which comprises a company full name and company information indexed by a company word number and a company residence and a company business department.
Description
Technical Field
The invention relates to the technical field of big data processing, in particular to a big data processing system and method based on a block chain.
Background
The public service platform is a carrier for providing service products for the society, reasonably allocates social resources to a certain extent, reduces the cost, improves the efficiency, and has the characteristics of sociality of service objects, universality of service contents, innovativeness of service means and the like by providing various specific public services. In addition, the public service platform should make full use of modern information technology and professional technical personnel to provide professional and high-level services for related enterprises, so as to greatly reduce the cost of the enterprises and improve the enterprise benefits. Therefore, a fast and effective means is needed to be established for enterprises, and policy services, financial services, technical services and the like can be provided for the enterprises according to the relevant information and requirements of the enterprises, so that a bridge for information communication is built among all government departments, service organizations and the enterprises. In the prior art, service requirements or project consultation usually need to be solved manually, and whether the service requirements or the project consultation meet related requirements is judged manually. The number and types of service items are numerous, so that manual operation consumes a large amount of human resources, cost, timeliness and the like.
Disclosure of Invention
In view of this, the present invention provides a big data processing system, method and device based on a block chain, which can realize transparent traceability of information based on a block chain technology, and realize that a user can not only respond timely and accurately when inputting enterprise information or consulting service project problems, thereby greatly improving efficiency, but also greatly saving human resources and cost invested by an enterprise.
To achieve the above object, the present invention provides a big data processing system based on block chains, the system comprising:
the system comprises an acquisition unit, a query unit and a query unit, wherein the acquisition unit is used for acquiring questioning data or input data of a client, and the input data comprises enterprise information;
a keyword extraction unit, configured to extract a keyword from the question data or the input data;
a judging unit configured to judge whether the keyword includes a basic information keyword and a service information keyword;
the matching unit is used for searching and acquiring the company full name and the company information matched with the basic information keyword in the block chain according to the basic information keyword; the matching unit is further used for searching and acquiring a second answer matched with the service information keyword in the block chain according to the company full name and the company information, and returning the second answer to the client; the block chain stores a company full name and company information indexed by a company word number and a company residence and a service item collection indexed by the company residence and a company business department, wherein the service item collection comprises policy service, financial service and technical service.
Preferably, the policy service includes a government program; the system further comprises a screening unit, which is used for deleting the declared government items corresponding to the second answer according to the declared government items in the company information.
Preferably, the system further comprises a profiling module, configured to establish a work profile of the company under the full name of the company and store the work profile in the block chain, where the work profile includes the second answer.
Preferably, the system further comprises a financial data acquisition unit for acquiring recent financial data corresponding to the company.
Preferably, the screening unit is configured to further remove, according to the financial data, corresponding items whose financial data does not satisfy the financial data requirement in the second answer.
Preferably, the recommendation unit is further configured to recommend, to the client, a corresponding item, as a candidate item, for which the financial data is different from the financial data in the second answer within a predetermined range when the financial data does not satisfy the corresponding item required by the financial data in the second answer.
In order to achieve the above object, the present invention further provides a method for processing big data based on a block chain, where the method includes:
obtaining questioning data or input data of a client, wherein the input data comprises enterprise information;
extracting keywords in the questioning data or the input data;
judging whether the keywords comprise basic information keywords and service information keywords or not;
searching and acquiring a company full name and company information matched with the basic information keyword in a block chain according to the basic information keyword; searching and acquiring a second answer matched with the service information keyword in the block chain according to the company full name and the company information, and returning the second answer to the client; the block chain stores a company full name and company information indexed by a company word number and a company residence and a service item collection indexed by the company residence and a company business department, wherein the service item collection comprises policy service, financial service and technical service.
Preferably, the policy service includes a government program; the method further comprises the following steps:
and deleting the declared government item corresponding to the second answer according to the declared government item in the company information.
Preferably, the method further comprises:
and establishing a work file of the company according to the full name of the company and storing the work file in the block chain, wherein the work file comprises the second answer.
To achieve the above object, the present invention further provides a big data processing apparatus based on a blockchain, including a processor, a memory, and a computer program stored in the memory, where the computer program is executable by the processor to implement a big data processing method based on a blockchain as described in the above embodiments.
Has the advantages that:
the scheme ensures the safe and transparent operation of the service and the legal rights and interests of all parties by combining the block chain technology. By using the network as a main body, corresponding services can be provided for enterprises independently according to related information and requirements of the enterprises, and therefore the bridge for establishing information communication among all government departments, service organizations and the enterprises is efficiently and conveniently realized.
According to the scheme, the included information is judged according to the acquired questioning data or the keywords in the input data, the enterprise related information and the project information condition corresponding to the enterprise are matched in the corresponding database based on the acquired different information keywords, the related answers are quickly called and returned to the client, the client can timely and accurately give responses when inputting data or consulting questions, the efficiency is improved, the processing is quick, and the human resources and the cost input by the enterprise are greatly saved. By providing intelligent interactive service for the user, the use experience of the user is enhanced, and the feedback efficiency of the user during consultation is greatly improved.
According to the scheme, the enterprise information is screened from a plurality of projects, and the project requirements which are not in accordance with the enterprise information are deleted, so that the project which is most in accordance with the enterprise information is pushed to the client, and the matching accuracy and reliability are improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic structural diagram of a big data processing system based on a block chain according to an embodiment of the present invention.
Fig. 2 is a schematic structural diagram of a big data processing system based on a block chain according to another embodiment of the present invention.
Fig. 3 is a schematic flowchart of a block chain-based big data processing method according to an embodiment of the present invention.
Fig. 4 is a schematic flowchart of a block chain-based big data processing method according to another embodiment of the present invention.
Fig. 5 is a schematic structural diagram of a large data processing device based on a block chain according to an embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings of the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention. Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
In the description of the present invention, the terms "first" and "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implying any 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 present invention will be described in detail with reference to the following examples.
Fig. 1-2 are schematic structural diagrams of a big data processing system based on a block chain according to an embodiment of the present invention.
In this embodiment, the system 10 includes:
the system comprises an acquisition unit 11, a query processing unit and a query processing unit, wherein the acquisition unit is used for acquiring questioning data or input data of a client, and the input data comprises enterprise information;
a keyword extraction unit 12, configured to extract a keyword from the question data or the input data;
a judging unit 13 configured to judge whether the keyword includes a basic information keyword and a service information keyword;
the matching unit 14 is configured to search and obtain a company full name and company information matched with the basic information keyword in a block chain according to the basic information keyword; the matching unit is further used for searching and acquiring a second answer matched with the service information keyword in the block chain according to the company full name and the company information, and returning the second answer to the client; the block chain stores a company full name and company information indexed by a company word number and a company residence and a service item collection indexed by the company residence and a company business department, wherein the service item collection comprises policy service, financial service and technical service.
In this embodiment, before initiating a request through the system for the first time, a user needs to perform account registration at a client, and uses an obtained public key as an account and a private key as a password of the account, and inputs corresponding basic information according to a requirement of a corresponding account registration page, and stores the basic information in a block chain. The user inputs question data or enterprise information data through the client and sends the question data or the input data to the system. The client can comprise a mobile phone, a computer, a tablet and other intelligent terminal installation browser, an application APP and the like. For example, after the user successfully logs in through the registered account, the user can access the page through the browser to initiate questioning data or input enterprise information data, and can also initiate questioning data or input enterprise information data through a related port such as a WeChat public service number or a downloaded enterprise application APP. After the questioning data or the input data initiated by the user is obtained, whether the keywords in the questioning data or the input data contain basic information keywords and project information keywords of related enterprises is judged by extracting the keywords in the questioning data or the input data. And quickly calling related answers and returning the related answers to the client based on the fact that the obtained different information keywords are matched with the enterprise related information and the project information condition corresponding to the enterprise in the block chain. For example, when the user inputs "what policy may be declared by technology limited company in shoal city", the extracted basic information keywords of the related enterprise include "shoal city", "word mark" (font size) and "technology", and the extracted project information keywords include "policy". For example, when the user inputs "what financial products can be declared by trade company limited in the province of Hunan," the extracted basic information keywords of the related enterprises include several keywords "province of Hunan", "word" (font size) and "trade", and the extracted item information keywords include "finance".
Further, information and answers related to the keywords corresponding to the questioning data or the input data are stored in the block chain in advance. After receiving the questioning data or the input data sent by the client, the system judges whether the keywords contain basic information keywords and service information keywords of related enterprises according to the extracted keywords, and then obtains associated answers from the block chain and returns the associated answers to the user. The block chain stores company full names and company information which take the company word size and the company residence as indexes, and the matched company full names and company information are obtained in the block chain through basic information keywords so as to further obtain basic relevant information of the company; and storing a service item collection using the company residence and the company business department as indexes, wherein the service item collection comprises policy service, financial service and technical service. The policy service may include government projects such as high and new technology enterprise declaration, industrialization demonstration, scientific and technological achievement transformation and major scientific and technological platform construction, which may be obtained by collecting some relevant policies of the government. The financial service includes: pledge loan and financing. For example, a reportable item that conforms to a company is initially searched in the block chain according to the related information of the company, wherein the company department classes include science and technology, production (processing), design, trade, advertisement, consultation, finance and the like. Policy services such as science and technology limited in the city of shouxia may include science and technology items of the city of shouxia and science and technology items of the province of Hunan province.
Further, in another embodiment, the policy service includes a government project; the system 20 further comprises:
and the screening unit 21 is configured to delete a declared government project corresponding to the second answer according to the government project declared in the company information.
And the profiling module 22 is configured to establish a work profile of the company according to the full name of the company and store the work profile in the block chain, where the work profile includes the second answer.
And the financial data acquisition unit 23 is used for acquiring recent financial data corresponding to the company.
The screening unit 21 is further configured to further remove, according to the financial data, the corresponding item whose financial data does not meet the financial data requirement in the second answer.
And the recommending unit 24 is used for recommending corresponding items of which the financial data do not meet the financial data requirement in the second answer to the client as alternative items when the financial data are different from the financial data in the second answer within a preset range.
Preferably, the recommending unit 24 is further configured to obtain an average financial growth rate of the company in the first three years, predict financial data of the next year according to the average growth rate, and recommend the corresponding item as a candidate item to the client when the financial data of the next year can meet the corresponding item required by the financial data in the second answer.
Preferably, the recommending unit 24 is further configured to obtain an average financial growth rate of the company in the last three years, predict financial data in the last three years according to the average growth rate, and recommend corresponding items to the client as candidate items in a chronological order (in the order of the last three years) when the financial data in the last three years can respectively meet the corresponding items required by the financial data in the second answer.
In this embodiment, for example, after the reportable items conforming to the company are preliminarily searched, screening and deleting are performed based on the reportable items displayed in the list in the company information, remaining reportable items are retained, a corresponding file is established by the company in full name, and other reportable items after screening are written into the file for filing and saving. Furthermore, the enterprise applying for the application should have some reporting conditions, such as good business performance, reasonable asset liability rate, and a sound financial management system. Therefore, whether the preset financial data requirement is met or not is judged according to the recent financial data condition of the company, the non-compliant items are filtered and removed, and the corresponding items of which the financial data and the preset financial data are different within a preset range are recommended to the client as alternative items for reference.
Fig. 3 is a schematic flow chart of a block chain-based big data processing method according to an embodiment of the present invention.
In this embodiment, the method includes:
and S31, obtaining the questioning data or the input data of the client, wherein the input data comprises enterprise information.
And S32, extracting keywords in the question data or the input data.
And S33, judging whether the keywords comprise basic information keywords and service information keywords.
S34, searching and acquiring a company full name and company information matched with the basic information keyword in a block chain according to the basic information keyword; searching and acquiring a second answer matched with the service information keyword in the block chain according to the company full name and the company information, and returning the second answer to the client; the block chain stores a company full name and company information indexed by a company word number and a company residence and a service item collection indexed by the company residence and a company business department, wherein the service item collection comprises policy service, financial service and technical service.
In another embodiment, the policy service includes a government program; the method further comprises the following steps:
and S35, deleting the declared government item corresponding to the second answer according to the declared government item in the company information.
And S36, establishing a work file of the company according to the full name of the company and storing the work file in the block chain, wherein the work file comprises the second answer.
S37, acquiring recent financial data corresponding to the company; corresponding items whose financial data does not meet the financial data requirements in the second answer are further removed according to the financial data.
And S38, recommending corresponding items of which the financial data are different from the financial data in the second answer within a preset range to a client as candidate items when the financial data do not meet the corresponding items of which the financial data are required in the second answer.
Wherein, in step S38, the method further comprises:
and acquiring the average financial growth rate of the company in the last three years, predicting the financial data of the next year according to the average growth rate, and recommending the corresponding item to the client as a candidate item when the financial data of the next year can meet the corresponding item required by the financial data in the second answer.
Further preferably, in step S38, the method further includes:
and acquiring the average financial growth rate of the company in the last three years, predicting financial data in the last three years according to the average growth rate, and recommending the corresponding items to the client as alternative items according to a time sequence (the sequence of the last three years) when the financial data in the last three years can respectively meet the corresponding items required by the financial data in the second answer.
The execution of each step of the method can refer to the description of the system, so that the detailed description is omitted here, and refer to the description of the above embodiments in detail.
An embodiment of the present invention further provides a device for processing big data based on a blockchain, which includes a processor, a memory, and a computer program stored in the memory, where the computer program is executable by the processor to implement the method for processing big data based on a blockchain as described in the foregoing embodiment.
As shown in fig. 5, the big data processing device based on the block chain may include, but is not limited to, a processor, and a memory. It will be understood by those skilled in the art that the schematic diagram is merely an example of a large data processing device based on a blockchain, and does not constitute a limitation of the large data processing device based on the blockchain, and may include more or less components than those shown, or combine some components, or different components, for example, the large data processing device based on the blockchain may further include an input-output device, a network access device, a bus, etc.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. The general purpose processor may be a microprocessor or the processor may be any conventional processor or the like, the control center of the blockchain based big data processing apparatus connects the various parts of the whole blockchain based big data processing apparatus with various interfaces and lines.
The memory may be used for storing the computer programs and/or modules, and the processor may implement various functions of the large data processing apparatus based on the blockchain by executing or executing the computer programs and/or modules stored in the memory and calling data stored in the memory. In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
Wherein, the unit integrated by the big data processing device based on the block chain can be stored in a computer readable storage medium if the unit is realized in the form of a software functional unit and sold or used as an independent product. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc.
It should be noted that the above-described system embodiments are merely illustrative, where the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. In addition, in the drawings of the embodiment of the system provided by the present invention, the connection relationship between the modules indicates that there is a communication connection between them, and may be specifically implemented as one or more communication buses or signal lines. One of ordinary skill in the art can understand and implement it without inventive effort.
The embodiments in the above embodiments can be further combined or replaced, and the embodiments are only used for describing the preferred embodiments of the present invention, and do not limit the concept and scope of the present invention, and various changes and modifications made to the technical solution of the present invention by those skilled in the art without departing from the design idea of the present invention belong to the protection scope of the present invention.
Claims (10)
1. A big data processing system based on block chains, the system comprising:
the system comprises an acquisition unit, a query unit and a query unit, wherein the acquisition unit is used for acquiring questioning data or input data of a client, and the input data comprises enterprise information;
a keyword extraction unit, configured to extract a keyword from the question data or the input data;
a judging unit configured to judge whether the keyword includes a basic information keyword and a service information keyword;
the matching unit is used for searching and acquiring the company full name and the company information matched with the basic information keyword in the block chain according to the basic information keyword; the matching unit is further used for searching and acquiring a second answer matched with the service information keyword in the block chain according to the company full name and the company information, and returning the second answer to the client; the block chain stores a company full name and company information indexed by a company word number and a company residence and a service item collection indexed by the company residence and a company business department, wherein the service item collection comprises policy service, financial service and technical service.
2. The blockchain-based big data processing system of claim 1, wherein the policy service includes government items; the system further comprises a screening unit, which is used for deleting the declared government items corresponding to the second answer according to the declared government items in the company information.
3. The big data processing system according to claim 2, further comprising a profiling module for establishing a work profile of the company under the full name of the company and storing the work profile in the blockchain, wherein the work profile includes the second answer.
4. The big data processing system based on the blockchain according to claim 3, further comprising a financial data acquisition unit for acquiring recent financial data corresponding to the company.
5. The blockchain-based big data processing system according to claim 4, wherein the filtering unit is configured to further remove the corresponding item whose financial data does not satisfy the financial data requirement of the second answer according to the financial data.
6. The blockchain-based big data processing system according to claim 5, further comprising a recommending unit for recommending to the client, as the candidate item, the corresponding item whose financial data is different from the financial data in the second answer within a predetermined range when the financial data does not satisfy the corresponding item whose financial data is required in the second answer.
7. A big data processing method based on a block chain is characterized by comprising the following steps:
obtaining questioning data or input data of a client, wherein the input data comprises enterprise information;
extracting keywords in the questioning data or the input data;
judging whether the keywords comprise basic information keywords and service information keywords or not;
searching and acquiring a company full name and company information matched with the basic information keyword in a block chain according to the basic information keyword; searching and acquiring a second answer matched with the service information keyword in the block chain according to the company full name and the company information, and returning the second answer to the client; the block chain stores a company full name and company information indexed by a company word number and a company residence and a service item collection indexed by the company residence and a company business department, wherein the service item collection comprises policy service, financial service and technical service.
8. The blockchain-based big data processing method of claim 7, wherein the policy service includes a government project; the method further comprises the following steps:
and deleting the declared government item corresponding to the second answer according to the declared government item in the company information.
9. The method for processing big data based on block chains according to claim 8, further comprising:
and establishing a work file of the company according to the full name of the company and storing the work file in the block chain, wherein the work file comprises the second answer.
10. A blockchain-based big data processing apparatus comprising a processor, a memory, and a computer program stored in the memory, the computer program being executable by the processor to implement a blockchain-based big data processing method according to any one of claims 7 to 9.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111107717.2A CN113836168B (en) | 2021-09-22 | 2021-09-22 | Big data processing system and method based on block chain |
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| CN202111107717.2A CN113836168B (en) | 2021-09-22 | 2021-09-22 | Big data processing system and method based on block chain |
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| Publication Number | Publication Date |
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| CN113836168A true CN113836168A (en) | 2021-12-24 |
| CN113836168B CN113836168B (en) | 2024-02-02 |
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