CN117151064A - Big data-based document generation method and system - Google Patents

Big data-based document generation method and system Download PDF

Info

Publication number
CN117151064A
CN117151064A CN202310992723.3A CN202310992723A CN117151064A CN 117151064 A CN117151064 A CN 117151064A CN 202310992723 A CN202310992723 A CN 202310992723A CN 117151064 A CN117151064 A CN 117151064A
Authority
CN
China
Prior art keywords
information
document
client
management set
template
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202310992723.3A
Other languages
Chinese (zh)
Inventor
龙燕
段震涛
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Sichuan Qichuang Future Technology Service Co ltd
Original Assignee
Sichuan Qichuang Future Technology Service Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Sichuan Qichuang Future Technology Service Co ltd filed Critical Sichuan Qichuang Future Technology Service Co ltd
Priority to CN202310992723.3A priority Critical patent/CN117151064A/en
Publication of CN117151064A publication Critical patent/CN117151064A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00Handling natural language data
    • G06F40/10Text processing
    • G06F40/166Editing, e.g. inserting or deleting
    • G06F40/186Templates
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00Handling natural language data
    • G06F40/20Natural language analysis
    • G06F40/279Recognition of textual entities
    • G06F40/284Lexical analysis, e.g. tokenisation or collocates
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/018Certifying business or products
    • G06Q30/0185Product, service or business identity fraud

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • Computational Linguistics (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Artificial Intelligence (AREA)
  • Accounting & Taxation (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Development Economics (AREA)
  • Economics (AREA)
  • Finance (AREA)
  • Marketing (AREA)
  • Strategic Management (AREA)
  • General Business, Economics & Management (AREA)
  • Document Processing Apparatus (AREA)

Abstract

The application discloses a big data-based document generation method and a big data-based document generation system, which relate to the technical field of document generation and are used for preparing a client information management set based on a big data server, wherein the client information management set comprises client information and corresponding transaction information, and content labels are extracted according to the client information management set; and searching a corresponding client information management set according to the content tag, acquiring the relevance between the client information management set and the content tag, and obtaining a corresponding document template according to the relevance between the client information management set and the content tag. The application can greatly improve the efficiency of using the adaptive document template, avoid the situation of forging the document, play a role of difficult copying of anti-counterfeiting information and improve the security of document use.

Description

Big data-based document generation method and system
Technical Field
The application relates to the technical field of document generation, in particular to a document generation method and system based on big data.
Background
The document is used as a trade file, the circulation link of the document forms a trade program, the document work penetrates through the whole process of marketing, goods delivery, transportation and collection of enterprises, the workload is large, the timeliness is strong, the involved area is wide, the generation of the existing document cannot correspond to the establishment of different document templates with the trade between clients, the applicability is not good, the use safety of the document is difficult to improve, and the possibility of counterfeiting is easy to occur.
Disclosure of Invention
The application aims to provide a document generation method and system based on big data, which are used for solving the defects in the background technology.
In order to achieve the above object, the present application provides the following technical solutions: a document generation method based on big data comprises the following steps:
formulating a client information management set based on the big data server, wherein the client information management set comprises client information and corresponding transaction information, and extracting content tags according to the client information management set;
searching a corresponding client information management set according to the content tag, acquiring the relevance between the client information management set and the content tag, and obtaining a corresponding document template according to the relevance between the client information management set and the content tag;
acquiring the document generation information, and generating an information document according to the document generation information matched with a corresponding document template;
and formulating corresponding anti-counterfeiting information according to the corresponding information document to obtain a target document, checking the qualified information of the anti-counterfeiting information of the target document, and outputting the target document corresponding to the qualified information meeting the preset condition.
In a preferred embodiment, the step of formulating a client information management set based on the big data server, wherein the client information management set includes client information and corresponding transaction information, and extracting the content tag according to the client information management set includes:
collecting client information, and establishing a client information management set according to the client information, wherein the client information management set is used for storing transaction information between the client information and clients, remark information of the transaction information and corresponding client information;
storing the information in the customer information management set in a big data server, establishing a personnel port according to the acquired personnel information of the big data server, and forming an identity nameplate corresponding to the personnel port to serve as authority authentication information for accessing the big data server;
recording the transaction record in the customer information management set in real time, identifying and extracting keywords of the transaction information and the customer information as content tags of the transaction information, and updating the content tags in real time according to the information in the customer information management set.
In a preferred embodiment, the step of searching for the corresponding client information management set according to the content tag, obtaining the association between the client information management set and the content tag, and obtaining the corresponding document template according to the association between the client information management set and the content tag includes:
setting template corresponding keyword information, wherein the template corresponding keyword information comprises a plurality of document templates and a plurality of target keywords respectively corresponding to the document templates;
extracting a plurality of target keywords one by one based on the keyword information corresponding to the template, and searching corresponding client information and transaction information in the client information management set based on the content label by inputting the plurality of target keywords to serve as corresponding template information;
searching whether the client information management set corresponding to the corresponding template information has remark information of the transaction information, and judging that the client information management set has relevance with the content tag if the remark information of the transaction information does not exist;
corresponding template information of the association between the client information management set and the content label is designated to use document templates corresponding to a plurality of target keywords.
In a preferred embodiment, the step of obtaining the document generation information and generating the information document according to the document generation information matching the corresponding document template includes:
inputting current client information and current transaction information as document generation information, searching the client information in the client information management set according to the current client information in a matching way, and obtaining a document template according to the client information in the client information management set in a matching way;
and identifying and filling the document generation information corresponding to the document template to generate an information document.
In a preferred embodiment, the step of identifying and filling the document generation information corresponding to the document template into the generated information document includes:
acquiring a document template, intercepting the document template to obtain a template image, and identifying item information on the translated template image to obtain a translated document template, wherein the item information is filling requirement information, and marking the document template corresponding to the item information as an information guide rope, wherein the information guide rope is an identity mark of the item information;
identifying the document generation information, carrying out information decomposition on the document generation information based on the item information to obtain decomposed information, marking the item information corresponding to the decomposed information, and filling the information guide rope corresponding to the item information with the same item information into the document template to generate the information document.
In a preferred embodiment, the step of formulating the corresponding anti-counterfeiting information by the corresponding information document to obtain the target document includes:
acquiring an information document, and selecting an identification position of the information document, wherein the identification position is used as a range for formulating anti-counterfeiting information;
randomly selecting a multicolor image, obtaining the number of colors of the multicolor image and the positions and the shapes of the colors in the multicolor image, decomposing the images of the colors of the multicolor image to obtain color independent color blocks, setting and modifying color depth values corresponding to the color independent color blocks and the contrast between the color independent color blocks to obtain target color independent color blocks, and re-splicing the target color independent color blocks based on the multicolor image to obtain an anti-counterfeiting image serving as anti-counterfeiting information and storing the anti-counterfeiting image serving as an original information corresponding information document;
and adjusting the size of the anti-counterfeiting information according to the mark position, and endowing the anti-counterfeiting information after the size adjustment to the mark position to obtain the target document.
In a preferred embodiment, the step of outputting the target document corresponding to the qualified information satisfying the preset condition by checking the qualified information of the target document anti-counterfeiting information includes:
acquiring a target document, acquiring anti-counterfeiting information on the target document, extracting an anti-counterfeiting information image, decomposing images of various colors in the anti-counterfeiting information image to obtain independent color blocks for inspection, and acquiring the number, position, shape and color depth values of the independent color blocks for inspection and the contrast between the independent color blocks for each color as inspection information;
and comparing the checking information with the original information, and outputting the target document corresponding to the qualified information meeting the preset condition as a qualified target document.
In a preferred embodiment, the method further comprises the step of storing the target document into a server of a corresponding client based on the blockchain, and recording the usage information of the document in real time, including:
taking a server corresponding to the single client information and the transaction information corresponding to the single client information in the client information management set as a node, and carrying out alliance on a plurality of nodes through a protocol to obtain a blockchain;
and monitoring the using information of the documents, wherein the using information of the documents comprises the using position and the using time of the documents, and storing the using information of the documents in the corresponding nodes according to the time stamp to obtain the document using information recorded in real time.
The application also provides a document generation system based on big data.
In a preferred embodiment, the method comprises:
the acquisition module is used for formulating a client information management set based on the big data server, wherein the client information management set comprises client information and corresponding transaction information, and extracting content tags according to the client information management set;
the formulating module is connected with the collecting module and is used for searching a corresponding client information management set according to the content label, acquiring the relevance between the client information management set and the content label and obtaining a corresponding document template according to the relevance between the client information management set and the content label;
the acquisition module is connected with the formulating module and used for acquiring the document generation information and generating information documents according to the document generation information matched with the corresponding document template;
the verification module is connected with the acquisition module and used for formulating corresponding anti-counterfeiting information according to the corresponding information documents to obtain target documents, verifying the qualified information of the target document anti-counterfeiting information and outputting the target documents corresponding to the qualified information meeting the preset conditions.
In the technical scheme, the application has the technical effects and advantages that:
the application can select the document templates differently according to the change of the keywords, has better applicability, has more efficient matching process of the document templates, can greatly improve the efficiency of using the adaptive document templates, avoids the situation of forging the document, can play a role of difficult copying anti-counterfeiting information, and improves the security of document use.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments described in the present application, and other drawings may be obtained according to these drawings for a person having ordinary skill in the art.
FIG. 1 is a flow chart of the method of the present application.
Fig. 2 is a system block diagram of the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
In embodiment 1, referring to fig. 1, the method for generating documents based on big data in this embodiment includes the following steps:
s1, formulating a client information management set based on a big data server, wherein the client information management set comprises client information and corresponding transaction information, and extracting content labels according to the client information management set;
in one embodiment, the step S1 of formulating a client information management set based on the big data server, wherein the client information management set includes client information and corresponding transaction information, and extracting a content tag according to the client information management set includes:
s11, collecting client information, and establishing a client information management set according to the client information, wherein the client information management set is used for storing transaction information between the client information and the client, remark information of the transaction information and corresponding client information;
s12, storing information in a customer information management set in a big data server, and establishing a personnel port according to personnel information collected by the big data server, wherein an identity nameplate is formed corresponding to the personnel port to serve as authority authentication information for accessing the big data server;
s13, recording the transaction record in the customer information management set in real time, and identifying keywords of the extracted transaction information and the customer information as content tags of the transaction information, wherein the content tags are updated in real time according to the information in the customer information management set;
as described in the above steps S11-S13, an enterprise will meet a relatively large number of clients, and have different document templates for different transactions, so that it is necessary to determine the document templates to be used according to the cooperative transaction items with other clients, store the transaction information of the client information and the corresponding client information in a big data server, the content stored in the big data server is only used by the internal staff of the enterprise, by assigning a personnel port identity tag established by registration as authority authentication information for accessing the big data server, the personnel port without the identity tag cannot enter the big data server to obtain the client information and the transaction information, record the transaction records in real time in a client information management set, and the client information management set includes a plurality of client management information, wherein a single client management information includes all the transaction records corresponding to the single client information and the single client management information, and extracts keywords as content tags of the transaction information and the client information one by one corresponding to the single client management information, wherein the content tags include keywords in the transaction information and the keywords of the client information, for example, in the client information, the keywords are names, the business information and the like; in the transaction information, key information such as time, transaction objects, transaction amount, transaction paths and the like in the transaction information is changed according to the enterprise requirement limiting extraction range, remark information of the transaction information is added or deleted for a contract system of a document template required by a customer with characteristic requirements, and is taken as one of important information for reference of the document template, and content labels are extracted according to the customer information and the transaction information, so that the content labels of the customer information which are continuously increased or changed are continuously updated and changed, real-time information tracking and keyword extraction processing can be carried out on the transaction information and the customer information, better data reference can be provided for templates which are generated by corresponding documents in a follow-up mode, and the document template with high conformity is better selected;
s2, searching a corresponding client information management set according to the content tag, acquiring the relevance between the client information management set and the content tag, and obtaining a corresponding document template according to the relevance between the client information management set and the content tag;
in one embodiment, the step S2 of searching for the corresponding client information management set according to the content tag, obtaining the association between the client information management set and the content tag, and obtaining the corresponding document template according to the association between the client information management set and the content tag includes:
s21, setting template corresponding keyword information, wherein the template corresponding keyword information comprises a plurality of document templates and a plurality of target keywords respectively corresponding to the document templates;
s22, extracting a plurality of target keywords one by one based on the keyword information corresponding to the template, and searching corresponding client information and transaction information in the client information management set based on the content label by inputting the plurality of target keywords to serve as corresponding template information;
s23, searching whether the client information management set corresponding to the corresponding template information has remark information of the transaction information, and judging that the client information management set has relevance with the content tag if the remark information of the transaction information does not exist;
s24, designating the corresponding template information of the relevance between the client information management set and the content label to use document templates corresponding to a plurality of target keywords;
as described in the above steps S21-S24, a plurality of target keywords corresponding to the templates are preset, a document template applicable to the target keywords is automatically searched for corresponding client information and transaction information corresponding to the client information in the client information management set conforming to the target keywords according to the target keywords and is used as corresponding template information, and then whether the client management set corresponding to the template information has remark information of the transaction information or not is searched for, wherein the remark information is a document template which is required to have contract making for the client with characteristic requirements, so that a unified corresponding document template cannot be used, the document template of the remark information with the transaction information is required to be specially customized, the corresponding template information without the remark information with the transaction information is judged to have relevance with content labels, the corresponding template information with relevance is designated to use the document template corresponding to the plurality of target keywords, and generally one document template can be used for transaction with a plurality of clients and is used as a group using a single document template, and the document template which is adapted to the clients can be quickly selected according to the client, and the document template which does not need a plurality of keywords can be better selectively matched according to the keywords and has better compatibility;
s3, acquiring document generation information, and generating information documents according to the document generation information by matching with corresponding document templates;
in one embodiment, the step S3 of obtaining the document generation information and generating the information document according to the document generation information matching the corresponding document template includes:
s31, inputting current client information and current transaction information as document generation information, searching the client information in the client information management set according to the current client information in a matching way, and obtaining a document template according to the client information in the client information management set in a matching way;
s32, identifying and filling the document template corresponding to the document generation information to generate an information document;
as described in the above steps S31-S32, according to the current client information and the current transaction information as the document generation information, according to the client information, searching the historical transaction information corresponding to the client information in the big data server, finding the client information in the corresponding client information management set, according to the matching of the client information, obtaining the document template, correspondingly filling the document generation information into the document template, perfecting the document template after the information as the information document generation, and searching the corresponding document template according to the current client information and the transaction information, thereby greatly improving the efficiency of using the adaptive document template and having higher efficiency;
in one embodiment, the step S32 of identifying and filling the document generation information corresponding to the document template to generate the information document includes:
s321, acquiring a document template, intercepting the document template to obtain a template image, and identifying item information on the translated template image to obtain a translated document template, wherein the item information is filling requirement information, and marking the item information corresponding to the document template as an information guide cable, wherein the information guide cable is an identity mark of the item information;
s322, identifying document generation information, carrying out information decomposition on the document generation information based on the item information to obtain decomposition information, marking the item information corresponding to the decomposition information, and filling an information guide rope corresponding to the item information with the same item information into a document template to generate an information document;
as described in the above steps S31-S32, since the transaction information is made, the content on the document template needs to be identified and translated to the text of the corresponding country, the template image is obtained by the template screenshot, and the translated document template is obtained according to the template image, wherein the item information is filling requirement information, such as name, age, transaction amount and the like, so as to obtain the translated document template, the item information is corresponding to the document template and is marked and used as an information guide rope, the document generation information is decomposed according to the item information to obtain decomposed information, the decomposed information is corresponding to the item information, and then the decomposed information is correspondingly filled in the information guide rope on the document template through the item information to obtain a complete information document, so that the transaction between the countries can be greatly improved, the corresponding required information document can be freely generated according to the matched document template, the efficiency of document generation can be improved, and the personnel can take and use the document conveniently;
s4, formulating corresponding anti-counterfeiting information according to the corresponding information document to obtain a target document, checking qualified information of the target document anti-counterfeiting information, and outputting the target document corresponding to the qualified information meeting preset conditions;
in one embodiment, the step S41 of formulating the corresponding anti-counterfeiting information to obtain the target document according to the corresponding information document includes:
s411, acquiring an information document, and selecting an identification position of the information document, wherein the identification position is used as a range for formulating anti-counterfeiting information;
s412, randomly selecting a multicolor image, obtaining the number of colors of the multicolor image and the positions and the shapes of the colors in the multicolor image, decomposing the images of the colors of the multicolor image to obtain color independent color blocks, setting and modifying color depth values and the contrast between the color independent color blocks to obtain target color independent color blocks, and re-splicing the target color independent color blocks based on the multicolor image to obtain an anti-counterfeiting image serving as anti-counterfeiting information and storing the anti-counterfeiting image serving as an original information corresponding information document;
s413, carrying out size adjustment on the anti-counterfeiting information according to the mark position, and endowing the anti-counterfeiting information subjected to size adjustment to the mark position to obtain a target document;
as described in the above steps S411-S413, the information document is obtained, the identification position on the information document is selected, the identification position is the position on the information document uniquely assigned with the anti-counterfeiting information, the anti-counterfeiting information on each information document is a different image, the anti-counterfeiting information is a multicolor image obtained randomly, the number of colors of the multicolor image and the positions and the shapes of the multicolor image where the colors are located are identified and obtained, the color independent color blocks are obtained by decomposing the color shape positions, the color depth values of the color independent color blocks and the contrast between the color independent color blocks are respectively processed, the processed target color independent color blocks are obtained, then the target color independent color blocks are spliced according to the multicolor image, so that an anti-counterfeiting image is obtained as the anti-counterfeiting information, finally, the anti-counterfeiting information is adjusted according to the identification position, then the target document is obtained by assigning the identification position, the generation efficiency and the uniqueness of the target document can be improved, the situation that the anti-counterfeiting document is difficult to copy the anti-counterfeiting information can be played, and the security of the document can be improved;
in one embodiment, the step S42 of verifying the qualified information of the target document anti-counterfeiting information and outputting the target document corresponding to the qualified information satisfying the preset condition includes:
s421, acquiring a target document, acquiring anti-counterfeiting information on the target document, extracting an anti-counterfeiting information image, decomposing images of various colors in the anti-counterfeiting information image to obtain independent color blocks for inspection, and acquiring the number, the position, the shape and the color depth value of the independent color blocks for inspection and the contrast ratio among the independent color blocks for each color as inspection information;
s422, comparing the checking information with the original information, and outputting a target document corresponding to the qualified information meeting the preset condition as a qualified target document;
as described in the above steps S411-S413, the target document is obtained, the anti-counterfeiting information on the target document is extracted, the image and the west ning of each color in the extracted image of the anti-counterfeiting information are decomposed to obtain the independent color blocks for verification, and the number, the position, the shape, the color depth values and the contrast between the independent color blocks for verification are obtained as verification information, which is equivalent to decomposing and verifying the anti-counterfeiting information, so that the verification accuracy can be improved, the condition of missing verification can be avoided, then the verification information is compared with the original information, the target document corresponding to the lattice information meeting the preset condition is output as a qualified target document, wherein the preset condition is that the number, the position, the shape, the color depth values and the contrast between the independent color blocks for each color are all records of the original information, so that the security and the subsequent verifications of the documents can be made very good, the verification procedure of the documents can be conveniently verified, the condition of failing verification due to the anti-counterfeiting information can be avoided, which is equivalent to making a pre-verification experiment of the verification document;
s5, storing the target documents into a server of a corresponding client based on the blockchain, and recording the use information of the documents in real time;
in one embodiment, the step S5 of storing the target document in the server of the corresponding client based on the blockchain and recording the usage information of the document in real time includes:
s51, using a server corresponding to single client information and transaction information corresponding to the single client information in the client information management set as a node, and performing alliance on a plurality of nodes through a protocol to obtain a blockchain;
s52, monitoring the use information of the documents, wherein the use information of the documents comprises the use position and the use time of the documents, and storing the use information of the documents in corresponding nodes according to time stamps to obtain the use information of the documents recorded in real time;
as described in the above steps S51-S52, after the target document is generated, the target document needs to be used subsequently, when the target document is used, the target document needs to be identified, then there is a record of usage information of the target document, a server corresponding to transaction information corresponding to single client information and single client information is used as a node, a plurality of nodes are linked through a protocol to obtain a blockchain, the usage information of the document is correspondingly stored in the corresponding node to obtain the usage information of the document, so that the personnel can check conveniently and understand the transaction process;
a big data based document generation system, comprising:
the acquisition module is used for formulating a client information management set based on the big data server, wherein the client information management set comprises client information and corresponding transaction information, and extracting content tags according to the client information management set;
the formulating module is connected with the collecting module and is used for searching a corresponding client information management set according to the content label, acquiring the relevance between the client information management set and the content label and obtaining a corresponding document template according to the relevance between the client information management set and the content label;
the acquisition module is connected with the formulating module and used for acquiring the document generation information and generating information documents according to the document generation information matched with the corresponding document template;
the verification module is connected with the acquisition module and used for formulating corresponding anti-counterfeiting information according to the corresponding information documents to obtain target documents, verifying the qualified information of the target document anti-counterfeiting information and outputting the target documents corresponding to the qualified information meeting the preset conditions.
The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims (9)

1. The document generation method based on big data is characterized by comprising the following steps:
formulating a client information management set based on the big data server, wherein the client information management set comprises client information and corresponding transaction information, and extracting content tags according to the client information management set;
searching a corresponding client information management set according to the content tag, acquiring the relevance between the client information management set and the content tag, and obtaining a corresponding document template according to the relevance between the client information management set and the content tag;
acquiring the document generation information, and generating an information document according to the document generation information matched with a corresponding document template;
and formulating corresponding anti-counterfeiting information according to the corresponding information document to obtain a target document, checking the qualified information of the anti-counterfeiting information of the target document, and outputting the target document corresponding to the qualified information meeting the preset condition.
2. The big data-based document generation method of claim 1, wherein: the step of formulating a customer information management set based on the big data server, wherein the customer information management set comprises customer information and corresponding transaction information, and extracting content tags according to the customer information management set comprises the following steps:
collecting client information, and establishing a client information management set according to the client information, wherein the client information management set is used for storing transaction information between the client information and clients, remark information of the transaction information and corresponding client information;
storing the information in the customer information management set in a big data server, establishing a personnel port according to the acquired personnel information of the big data server, and forming an identity nameplate corresponding to the personnel port to serve as authority authentication information for accessing the big data server;
recording the transaction record in the customer information management set in real time, identifying and extracting keywords of the transaction information and the customer information as content tags of the transaction information, and updating the content tags in real time according to the information in the customer information management set.
3. The big data-based document generation method of claim 1, wherein: the step of searching the corresponding client information management set according to the content label, obtaining the relevance between the client information management set and the content label, and obtaining the corresponding document template according to the relevance between the client information management set and the content label comprises the following steps:
setting template corresponding keyword information, wherein the template corresponding keyword information comprises a plurality of document templates and a plurality of target keywords respectively corresponding to the document templates;
extracting a plurality of target keywords one by one based on the keyword information corresponding to the template, and searching corresponding client information and transaction information in the client information management set based on the content label by inputting the plurality of target keywords to serve as corresponding template information;
searching whether the client information management set corresponding to the corresponding template information has remark information of the transaction information, and judging that the client information management set has relevance with the content tag if the remark information of the transaction information does not exist;
corresponding template information of the association between the client information management set and the content label is designated to use document templates corresponding to a plurality of target keywords.
4. The big data-based document generation method of claim 1, wherein: the step of obtaining the document generation information and generating information documents according to the document generation information matched with the corresponding document templates comprises the following steps:
inputting current client information and current transaction information as document generation information, searching the client information in the client information management set according to the current client information in a matching way, and obtaining a document template according to the client information in the client information management set in a matching way;
and identifying and filling the document generation information corresponding to the document template to generate an information document.
5. The big data based document generation method of claim 4, wherein: the step of identifying and filling the document generation information corresponding to the document template to generate the information document comprises the following steps:
acquiring a document template, intercepting the document template to obtain a template image, and identifying item information on the translated template image to obtain a translated document template, wherein the item information is filling requirement information, and marking the document template corresponding to the item information as an information guide rope, wherein the information guide rope is an identity mark of the item information;
identifying the document generation information, carrying out information decomposition on the document generation information based on the item information to obtain decomposed information, marking the item information corresponding to the decomposed information, and filling the information guide rope corresponding to the item information with the same item information into the document template to generate the information document.
6. The big data-based document generation method of claim 1, wherein: the step of formulating the corresponding anti-counterfeiting information to obtain the target document according to the corresponding information document comprises the following steps:
acquiring an information document, and selecting an identification position of the information document, wherein the identification position is used as a range for formulating anti-counterfeiting information;
randomly selecting a multicolor image, obtaining the number of colors of the multicolor image and the positions and the shapes of the colors in the multicolor image, decomposing the images of the colors of the multicolor image to obtain color independent color blocks, setting and modifying color depth values corresponding to the color independent color blocks and the contrast between the color independent color blocks to obtain target color independent color blocks, and re-splicing the target color independent color blocks based on the multicolor image to obtain an anti-counterfeiting image serving as anti-counterfeiting information and storing the anti-counterfeiting image serving as an original information corresponding information document;
and adjusting the size of the anti-counterfeiting information according to the mark position, and endowing the anti-counterfeiting information after the size adjustment to the mark position to obtain the target document.
7. The big data based document generation system of claim 6, wherein: the step of verifying the qualified information of the target document anti-counterfeiting information and outputting the target document corresponding to the qualified information meeting the preset condition comprises the following steps:
acquiring a target document, acquiring anti-counterfeiting information on the target document, extracting an anti-counterfeiting information image, decomposing images of various colors in the anti-counterfeiting information image to obtain independent color blocks for inspection, and acquiring the number, position, shape and color depth values of the independent color blocks for inspection and the contrast between the independent color blocks for each color as inspection information;
and comparing the checking information with the original information, and outputting the target document corresponding to the qualified information meeting the preset condition as a qualified target document.
8. The big data-based document generation method of claim 1, wherein: the method also comprises the steps of storing the target documents into the servers of the corresponding clients based on the blockchain and recording the use information of the documents in real time, and comprises the following steps:
taking a server corresponding to the single client information and the transaction information corresponding to the single client information in the client information management set as a node, and carrying out alliance on a plurality of nodes through a protocol to obtain a blockchain;
and monitoring the using information of the documents, wherein the using information of the documents comprises the using position and the using time of the documents, and storing the using information of the documents in the corresponding nodes according to the time stamp to obtain the document using information recorded in real time.
9. A big data based document generation system for implementing the generation method of any of claims 1-8, characterized in that: comprising the following steps:
the acquisition module is used for formulating a client information management set based on the big data server, wherein the client information management set comprises client information and corresponding transaction information, and extracting content tags according to the client information management set;
the formulating module is connected with the collecting module and is used for searching a corresponding client information management set according to the content label, acquiring the relevance between the client information management set and the content label and obtaining a corresponding document template according to the relevance between the client information management set and the content label;
the acquisition module is connected with the formulating module and used for acquiring the document generation information and generating information documents according to the document generation information matched with the corresponding document template;
the verification module is connected with the acquisition module and used for formulating corresponding anti-counterfeiting information according to the corresponding information documents to obtain target documents, verifying the qualified information of the target document anti-counterfeiting information and outputting the target documents corresponding to the qualified information meeting the preset conditions.
CN202310992723.3A 2023-08-08 2023-08-08 Big data-based document generation method and system Pending CN117151064A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202310992723.3A CN117151064A (en) 2023-08-08 2023-08-08 Big data-based document generation method and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202310992723.3A CN117151064A (en) 2023-08-08 2023-08-08 Big data-based document generation method and system

Publications (1)

Publication Number Publication Date
CN117151064A true CN117151064A (en) 2023-12-01

Family

ID=88897817

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202310992723.3A Pending CN117151064A (en) 2023-08-08 2023-08-08 Big data-based document generation method and system

Country Status (1)

Country Link
CN (1) CN117151064A (en)

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109710903A (en) * 2018-08-20 2019-05-03 平安普惠企业管理有限公司 Management method, device, equipment and the storage medium of document
US20210090190A1 (en) * 2019-06-05 2021-03-25 Orula Inc. Data management system for use with agreements and data detailing concepts, designs, and ideas
CN112579867A (en) * 2020-12-10 2021-03-30 平安普惠企业管理有限公司 Document generation method, device, equipment and storage medium

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109710903A (en) * 2018-08-20 2019-05-03 平安普惠企业管理有限公司 Management method, device, equipment and the storage medium of document
US20210090190A1 (en) * 2019-06-05 2021-03-25 Orula Inc. Data management system for use with agreements and data detailing concepts, designs, and ideas
CN112579867A (en) * 2020-12-10 2021-03-30 平安普惠企业管理有限公司 Document generation method, device, equipment and storage medium

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
池生友;: "行业用户单证可变数据集中输出处理解决方案", 福建电脑, no. 06, 25 June 2012 (2012-06-25), pages 126 - 127 *

Similar Documents

Publication Publication Date Title
US10972281B2 (en) System and method for document information authenticity verification
CN109658042B (en) Review method, device, equipment and storage medium based on artificial intelligence
CN106022805A (en) Anti-fake traceablility system and method based on label reading
CN110535660A (en) A kind of evidence obtaining service system based on block chain
CN105550730B (en) Safe two-dimensional code manufacture method and decoding method, and safe two-dimensional code identifier
US20230281238A1 (en) Facial test database management system for detection of facial recognition device, and method
CN104574122A (en) Two-dimensional code anti-counterfeit and random product packaging goods-fleeing preventing method
US10083765B2 (en) Methods for securely processing information having handwritten data
CN109117440A (en) A kind of metadata information acquisition methods, system and computer readable storage medium
US20200151738A1 (en) Data Driven Product Authenticity Verification
CN113111369B (en) Data protection method and system in data annotation
CN112434224A (en) Tax preferential policy recommendation method and system based on knowledge graph
CN116029745A (en) Digital label anti-counterfeiting tracing method, device and system based on blockchain
CN110443623A (en) Fake method, device, equipment and medium are tested in identification for antifalsification label
CN117151064A (en) Big data-based document generation method and system
CN113961969B (en) Security threat collaborative modeling method and system
CN107402923A (en) The method and system of Intelligent treatment problem data
CN207037679U (en) A kind of system of quick scanning invoice information
US11120520B2 (en) Method for marking visuals of information for subsequent identification or authentication
CN115080822A (en) Internet of things system for office archive management
CN112487452A (en) On-site certificate storing method and device and related certificate storing system
Magama et al. Journey to EDRMS solution in Zimbabwe public sector
CN112464968A (en) Rapid seal authentication method, server and user terminal
CN118134505A (en) Agricultural product qualification certificate generation system and method
Aarthi et al. Sophisticated Data Entry Application using Matchmaking Algorithm through Scanned Images

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination