CN114358659B - Document verification information processing method and system - Google Patents
Document verification information processing method and system Download PDFInfo
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- CN114358659B CN114358659B CN202210229770.8A CN202210229770A CN114358659B CN 114358659 B CN114358659 B CN 114358659B CN 202210229770 A CN202210229770 A CN 202210229770A CN 114358659 B CN114358659 B CN 114358659B
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Abstract
The invention provides a bill verification information processing method and a bill verification information processing system, wherein the method comprises the following steps: acquiring an enterprise document set and an enterprise customer set; classifying the enterprise document sets according to the enterprise customer sets to obtain each customer document set; analyzing the historical transaction information of the client to obtain a client transaction efficiency analysis result and a client transaction benefit analysis result; performing document quality evaluation to obtain a first evaluation result; acquiring document information to be verified and verification rules; obtaining a risk coefficient of a document to be checked; performing document verification based on the risk coefficient of the document to be verified and the verification rule to obtain a document verification result; and marking, encrypting and storing the document verification result. The technical problems that the client factors in the business scene are ignored when document verification information is processed, risk evaluation on different clients is lacked, high-risk documents are poor in identification capacity, and document verification efficiency and verification result processing efficiency are low are solved.
Description
Technical Field
The invention relates to the field of data processing, in particular to a method and a system for processing document verification information.
Background
Most enterprises generate a large amount of documents in the daily business process. When document verification is performed, a large amount of tedious work is generated, and a large amount of manpower is consumed. With the development of paperless office, the electronic document can reduce the problem of high cost caused by using the paper document and reduce the labor cost generated by manually arranging and inputting the paper invoice. In recent years, the rapidly developed OCR image recognition and analysis technology and the artificial intelligence deep learning technology can automatically recognize paper document information by a computer, thereby improving the document processing efficiency of enterprises.
In the prior art, the technical problems that the client factors in the business scene are ignored when document verification information is processed, risk evaluation on different clients is lacked, the high-risk document identification capability is not high, and the document verification efficiency and the verification result processing efficiency are not high exist.
Disclosure of Invention
The application provides a document verification information processing method and system, and solves the technical problems that in the prior art, when document verification information is processed, client factors in a service scene are ignored, risk evaluation on different clients is lacked, the identification capability of high-risk documents is not high, and document verification efficiency and verification result processing efficiency are not high. The method achieves the technical effects that through the analysis of the historical transaction information of the partner client, the quality of the historical documents of the client is evaluated, the risk evaluation of the client who treats the documents to be checked is realized, the documents are checked in a targeted manner, the identification capability of the high-risk documents is improved, the document checking efficiency and the document checking result processing efficiency are improved, and the document information can be used in a traceable manner.
In view of the above problems, the present application provides a method and a system for processing document verification information.
In a first aspect, the present application provides a method for processing document verification information, where the method includes: obtaining a first enterprise bill set and a first enterprise customer set; classifying the first enterprise receipt set according to the first enterprise customer set to obtain each customer receipt set; analyzing historical transaction information of the customers based on the customer document sets to obtain a customer transaction efficiency analysis result and a customer transaction benefit analysis result; carrying out bill quality evaluation on each customer bill set to obtain a first evaluation result; obtaining document information to be verified and verification rules of the document information to be verified; performing risk evaluation on the document information to be checked based on the customer transaction efficiency analysis result, the customer transaction benefit analysis result and the first evaluation result to obtain a risk coefficient of the document to be checked; performing document verification based on the risk coefficient of the document to be verified and the verification rule to obtain a document verification result; and marking the bill verification result, and encrypting and storing the bill verification result through a block chain processing technology.
In another aspect, the present application provides a document verification information processing system, wherein the system includes: the system comprises a first obtaining unit, a second obtaining unit and a third obtaining unit, wherein the first obtaining unit is used for obtaining a first enterprise bill set and a first enterprise customer set; the second obtaining unit is used for classifying the first enterprise bill set according to the first enterprise customer set to obtain each customer bill set; a third obtaining unit, configured to perform historical customer deal information analysis based on each customer document set, and obtain a customer deal efficiency analysis result and a customer deal benefit analysis result; the fourth obtaining unit is used for evaluating the bill quality of each customer bill set to obtain a first evaluation result; the fifth obtaining unit is used for obtaining the document information to be verified and the verification rule of the document information to be verified; a sixth obtaining unit, configured to perform risk assessment on the document information to be verified based on the customer transaction efficiency analysis result, the customer transaction benefit analysis result, and the first assessment result, and obtain a risk coefficient of the document to be verified; the seventh obtaining unit is used for carrying out bill verification based on the risk coefficient of the bill to be verified and the verification rule to obtain a bill verification result; and the first execution unit is used for marking the bill verification result, and encrypting and storing the bill verification result through a block chain processing technology.
In a third aspect, the present application provides a document authentication information processing system comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the method of any one of the first aspect when executing the program.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
the method adopts the steps of obtaining an enterprise document set and an enterprise customer set; classifying the enterprise document sets according to the enterprise customer sets to obtain each customer document set; analyzing historical transaction information of the customers based on the customer document sets to obtain a customer transaction efficiency analysis result and a customer transaction benefit analysis result; performing document quality evaluation on each customer document set to obtain a document quality evaluation result; acquiring document information to be verified and verification rules; performing risk evaluation on document information to be checked based on a customer transaction efficiency analysis result, a customer transaction benefit analysis result and a document quality evaluation result to obtain a document risk coefficient to be checked; performing document verification based on the risk coefficient of the document to be verified and the verification rule to obtain a document verification result; the technical scheme includes that a mark of a check result is added to the bill check result, and encryption processing and storage are performed through a block chain processing technology.
The foregoing description is only an overview of the technical solutions of the present application, and the present application can be implemented according to the content of the description in order to make the technical means of the present application more clearly understood, and the following detailed description of the present application is given in order to make the above and other objects, features, and advantages of the present application more clearly understandable.
Drawings
FIG. 1 is a schematic flowchart of a document verification information processing method according to an embodiment of the present application;
fig. 2 is a schematic flow chart of a document verification information processing method for obtaining a risk coefficient of a document to be verified in the embodiment of the present application;
fig. 3 is a schematic flow chart of an authentication rule for obtaining document information to be authenticated according to the document authentication information processing method in the embodiment of the present application;
FIG. 4 is a schematic structural diagram of a document verification information processing system according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of an exemplary electronic device according to an embodiment of the present application.
Description of reference numerals: a first obtaining unit 11, a second obtaining unit 12, a third obtaining unit 13, a fourth obtaining unit 14, a fifth obtaining unit 15, a sixth obtaining unit 16, a seventh obtaining unit 17, a first executing unit 18, an electronic device 300, a memory 301, a processor 302, a communication interface 303, and a bus architecture 304.
Detailed Description
The application provides a document verification information processing method and system, and solves the technical problems that in the prior art, when document verification information is processed, client factors in a service scene are ignored, risk evaluation on different clients is lacked, the identification capability of high-risk documents is not high, and document verification efficiency and verification result processing efficiency are not high. The method achieves the technical effects that through the analysis of the historical transaction information of the partner client, the quality of the historical documents of the client is evaluated, the risk evaluation of the client who treats the documents to be checked is realized, the documents are checked in a targeted manner, the identification capability of the high-risk documents is improved, the document checking efficiency and the document checking result processing efficiency are improved, and the document information can be used in a traceable manner.
Most enterprises generate a large amount of documents in the daily business process. When document verification is performed, a large amount of tedious work is generated, and a large amount of manpower is consumed. With the development of paperless office, the electronic document can reduce the problem of high cost caused by using the paper document and reduce the labor cost generated by manually arranging and inputting the paper invoice. In recent years, the rapidly-developed OCR image recognition and analysis technology and the artificial intelligence deep learning technology can automatically recognize paper document information by a computer, so that the document processing efficiency of enterprises is improved, and the enterprise can effectively improve the economic benefit and the working efficiency of the enterprise by selecting an appropriate document verification information processing method.
In view of the above technical problems, the technical solution provided by the present application has the following general idea:
the application provides a bill verification information processing method, wherein the method comprises the following steps: acquiring an enterprise document set and an enterprise customer set; classifying the enterprise document sets according to the enterprise customer sets to obtain each customer document set; analyzing historical transaction information of the customers based on the customer document sets to obtain a customer transaction efficiency analysis result and a customer transaction benefit analysis result; performing document quality evaluation on each customer document set to obtain a document quality evaluation result; acquiring document information to be verified and verification rules; performing risk evaluation on document information to be checked based on a customer transaction efficiency analysis result, a customer transaction benefit analysis result and a document quality evaluation result to obtain a document risk coefficient to be checked; performing document verification based on the risk coefficient of the document to be verified and the verification rule to obtain a document verification result; and adding a mark of the verification result to the document verification result, and encrypting and storing the document verification result by a block chain processing technology.
Having thus described the general principles of the present application, various non-limiting embodiments thereof will now be described in detail with reference to the accompanying drawings.
Example one
As shown in fig. 1, an embodiment of the present application provides a method for processing document verification information, where the method includes:
step S100: obtaining a first enterprise bill set and a first enterprise customer set;
step S200: classifying the first enterprise receipt set according to the first enterprise client set to obtain client receipt sets;
specifically, enterprises generate a large number of documents during their daily business transactions. With the development of paperless office, the electronic document can reduce the problem of high cost caused by using paper documents and reduce the labor cost generated by arranging and inputting the paper invoices. In order to improve the accuracy and efficiency of document verification, in the whole service scene of document verification, the cooperating customers and documents corresponding to the customers are analyzed in an overlapping manner. The first enterprise is an enterprise for bill verification. The first enterprise bill set is a whole bill set which can be inquired and consulted by the first enterprise. The first enterprise customer set is the sum of the cooperative customers corresponding to the first enterprise bill set. And classifying the first enterprise bill set according to different customers, wherein the first enterprise bill set is divided into a plurality of subsets, namely the customer bill sets, and each customer bill set comprises various bills transacted with the customer, such as invoices, receipts, bills of lading, transportation bills and the like. The first enterprise receipt set is classified according to the first enterprise client set, so that comprehensive evaluation of enterprise cooperative clients is facilitated, and a foundation is laid for accurate receipt verification.
Step S300: analyzing historical transaction information of the customers based on the customer document sets to obtain a customer transaction efficiency analysis result and a customer transaction benefit analysis result;
step S400: carrying out bill quality evaluation on each customer bill set to obtain a first evaluation result;
specifically, the deal information of each cooperation with the client is analyzed on the basis of each client document set, and the analysis comprises the analysis of client deal efficiency and client deal benefit. The efficiency of a deal may be analyzed by the ratio of the size of the deal (e.g., the size of the deal is measured by the amount of the deal, the duration of the item, and the amount of the item) to the length of the time to reach the deal. The trading benefits can be analyzed through explicit benefits and implicit benefits brought to the first enterprise, wherein the explicit benefits are directly obtained profits, and the implicit benefits are industry status, reputation, customer resources and the like brought. The customer transaction efficiency analysis result and the customer transaction benefit analysis result can reflect the importance of the customer and the qualification of the customer. The higher the customer qualification, the more sophisticated the customer system and the higher the document quality.
And evaluating the quality of the documents in each customer document set retained by the first enterprise, and analyzing the verification results of all historical documents, such as: analyzing common problems of the document, analyzing the occurrence frequency of the problems and the severity level of the common problems, and if analyzing the problems of the client in different history periods, evaluating the quality change rule of the client document in the process of continuously running in with the client, and further comprehensively evaluating the quality of the client document. And obtaining a first evaluation result, wherein the first evaluation result comprises a comprehensive evaluation result of the customer document quality, and the document quality evaluation is carried out on each customer document set, so that the document quality of the customer can be objectively and scientifically evaluated, and a foundation is laid for the evaluation of the risk of documents to be checked by the subsequent customer.
Step S500: obtaining document information to be verified and verification rules of the document information to be verified;
step S600: performing risk evaluation on the document information to be checked based on the customer transaction efficiency analysis result, the customer transaction benefit analysis result and the first evaluation result to obtain a risk coefficient of the document to be checked;
specifically, the document information to be verified comprises the type of the document to be verified, the name of the customer and the specific content of the document. And determining the verification rules including verification processes, verification key points and the like according to the information such as the customer name, the document type and the like in the document information to be verified. And obtaining a transaction efficiency analysis result, a transaction benefit analysis result and a first evaluation result of the customer corresponding to the document information to be verified according to the customer transaction efficiency analysis result, the customer transaction benefit analysis result and the first evaluation result. The risk analysis comprises three aspects, namely the quality of the historical documents of the customers, the historical transaction efficiency of the customers and the analysis result of the historical transaction benefits. The following are exemplary: the risk is higher if the quality of the historical documents of the client is lower, the historical transaction efficiency is lower, and the historical transaction benefit is lower. And carrying out risk evaluation on the client aiming at the historical information of the client to obtain a risk evaluation result of the client attribute of the document to be verified and the quality attribute of the historical document of the client, namely the risk coefficient of the document to be verified is obtained, and the higher the risk coefficient of the document to be verified is, the higher the risk of the document information to be verified is. By evaluating the risk of the client attribute and the quality of the client historical document, the objectivity and scientificity for estimating the risk of the document to be checked can be improved.
Step S700: performing document verification based on the risk coefficient of the document to be verified and the verification rule to obtain a document verification result;
step S800: and marking the bill verification result, and encrypting and storing the bill verification result through a block chain processing technology.
Specifically, the verification rule is finely adjusted according to the risk coefficient of the document to be verified, if the risk coefficient of the document to be verified is higher than the risk threshold set by the first enterprise, the verification work of the document to be verified is highly emphasized, and the verification rule to be verified needs to be updated, for example: adding a plurality of manual checking processes and the like. And checking the document according to the risk coefficient of the document to be checked and the adjusted checking rule, wherein the computer checking part of the document checking adopts an OCR image recognition analysis technology and an artificial intelligent deep learning technology. And (4) accurately checking the document, and if the checking rule has manual checking, sending the checking result of the computer and the checking rule to a corresponding checking person for rechecking.
After verification, the verification result is marked on the document to be verified through an electronic mark, and encryption and storage are carried out through a block chain processing technology. The block chain storage has high reliability and non-falsification characteristics, the accuracy of the stored data can be ensured, and the stored data can be traced and called at any time. Essentially, the blockchain technique is a shared database. And generating an identification code from the verification result with the marking information, and storing the verification result with the marking information and the identification code in one device. The marked verification result after each verification is stored through the block chain processing technology, so that the safety, traceability and invocable of verification data information can be realized, and the technical effects of document verification efficiency and document verification result processing efficiency are improved.
Further, step S400 in the embodiment of the present application further includes:
step S410: obtaining a first set of time periods based on the sets of customer documents;
step S420: dividing the first time period set into time subsets to obtain a first time subset set;
step S430: performing weight distribution based on the first time subset set to obtain a first weight distribution result;
step S440: and performing bill quality evaluation on each customer bill set based on the first weight distribution result, the bill problem grade information of each customer and the corrected problem frequency information to obtain a first evaluation result.
Further, step S440 in the embodiment of the present application further includes:
step S441: obtaining the historical verification result of each customer document set;
step S442: obtaining correction frequency information and correction problem information based on the historical verification result;
step S443: counting the times of each correction problem according to the correction time information and the correction problem information to obtain the time information of each correction problem;
step S444: and ranking the corrected questions to obtain the document question rank information of each customer.
Specifically, the time starting point and the time ending point of the transaction with each customer can be known from the customer bill sets, and if the transaction with a certain customer is not carried out for a long time, the last transaction is taken as the time ending point. And obtaining the first time period set according to the time starting point and the time ending point, wherein the first time period set comprises cooperation time information of each client. And performing time subset division according to the requirements of the first enterprise according to each time period in the first time period set. The first time period set is divided into a plurality of subsets, and a first time subset set is obtained. The farther away from the current time, the less influential the subset of times will be on the latest document quality assessment. And performing weight distribution according to the first time subset set, wherein the weaker the influence is, the less the weight is distributed, and therefore, the time subset which is farther from the current time is, the lower the weight is distributed. And after weight distribution is carried out according to the time distance, the first weight distribution result is obtained.
The bill question grade information and the corrected question frequency information of each customer are obtained by analyzing the historical verification result of each customer bill set. In the historical document verification process, the verification personnel of the first enterprise can keep all items of verification information of the document, including verified problems to be corrected and document correction frequency information (total correction frequency, frequency of occurrence of all problems and the like). The problems to be corrected include, but are not limited to, errors in date, ticket number, waybill number, etc., data consistency problems, ticket integrity problems, etc. And counting the total times of the occurrence of each correction problem according to the information of the times to be corrected to obtain the information of the times of each correction problem.
By collecting the severity evaluation results of a first enterprise bill validator on different correction problems, the correction problems are ranked and ranked, and bill problem ranking information of each customer is obtained, which is not limited: the bill verification personnel of the first enterprise sort according to the common problems involved in the enterprise, the bill integrity problem, the consistency problem, the data error, the wrongly written character and the definition problem, and grade division is carried out according to the sorting result. The more serious the problem, the larger the grade number.
Counting the bill problem of each time subset of each customer to obtain the times of the occurrence of different grades of problems of different time subsets, multiplying the number of each grade by the times of the occurrence of the grade of problems, and summing, for example: if the document problem grade information is divided into 1 grade, 2 grade, 3 grade, 4 grade and 5 grade, and the higher the grade, the more serious the problem, the customer A has 2 grade problems in the 1 grade, 3 grade, 1 grade in the 3 grade, 2 grade in the 4 grade and 1 grade in the 5 grade in a time subset, and the times statistical result in the time subset is 1 grade 2+2 grade 3+ 1+4 grade 2+5 grade 1= 24. And obtaining the bill quality evaluation according to the times statistical result in each time subset multiplied by the weight value of each time subset, and obtaining the first evaluation result, wherein the larger the calculation result is, the more and more serious the bill problems are, and the bill quality is worse. By assigning signatures to the first time subset set, the validity of the data can be assigned with weights, and the data with longer time intervals is less time-sensitive. The bill quality is evaluated by correcting the problem frequency information, the bill problem grade information of each client and the first weight distribution result, and the bill quality can be scientifically and accurately evaluated.
Further, as shown in fig. 2, step S600 in the embodiment of the present application further includes:
step S610: constructing an enterprise customer database based on the first enterprise customer set, wherein the enterprise customer database comprises attribute information of each customer;
step S620: acquiring the cooperation times of the document client to be checked based on the document information to be checked;
step S630: if the cooperation times are lower than the first preset times, obtaining attribute information of a document client to be verified;
step 640: carrying out correlation analysis on the customer attribute information of the document to be checked and the attribute information of each customer to obtain matched customer attribute information;
step S650: and carrying out risk evaluation according to the matched customer attribute information to obtain the risk coefficient of the document to be verified.
Specifically, the first enterprise customer set is the sum of cooperative customers corresponding to the first enterprise bill set, and an enterprise customer database is built according to all customer names and transaction information between the customer and the business. The enterprise customer database includes customer attribute information including, but not limited to, customer industry, customer main business, customer size (large, medium, small), etc. And acquiring a cooperative customer name according to the document information to be checked, and acquiring the cooperative times of the first enterprise and the customer according to the customer name. The first preset times are set according to the credit degree of a first enterprise to the client, if the credit degree of all the clients is high, the first preset times are low, and if the credit degree of all the clients is low, the first preset times are high. If the number of times of cooperation is lower than the first preset number of times, the number of times of cooperation with the client of the document to be checked is too small, even the client never cooperates, and at the moment, the client cannot be accurately evaluated for risk.
Therefore, the attribute information of the document client to be verified is obtained, and the attribute information of the document client to be verified comprises the client industry, the client hosting business, the client scale (large, medium and small) and the like. And performing correlation analysis by using the customer attribute information of the document to be checked and the attribute information of each customer, and matching the customer attribute which is most similar to the customer attribute corresponding to the document to be checked in the historical customers. And carrying out risk evaluation by using the customer transaction efficiency analysis result, the customer transaction benefit analysis result and the first evaluation result of document quality evaluation corresponding to the matched customer attribute information to obtain a document risk coefficient to be verified. The method and the system solve the problem that the evaluation accuracy of the risk of the client is not high when the number of times of cooperation between the client and the first enterprise is too small, and achieve the technical effect of reducing the risk of cooperation with a new client.
Further, as shown in fig. 3, step S500 in the embodiment of the present application further includes:
step S510: acquiring attribute information of a document client to be verified based on the document information to be verified;
step S520: obtaining the category information of the document to be verified;
step S530: obtaining the correction problem information and the bill problem grade information based on the attribute information of the bill customer to be verified;
step S540: matching a first correction problem set and a first correction problem grade set from the correction problem information and the bill problem grade information based on the category information of the bill to be verified;
step S550: and obtaining the verification rule of the document information to be verified based on the first correction problem set and the first correction problem grade set.
Specifically, the verification rule is different according to different important verification problems of different customers, and the attribute information of the corresponding customer is obtained according to the document information to be verified, wherein the attribute information comprises a customer name, a customer industry, a customer administrative business, a customer scale (large, medium and small) and the like. Second, different categories of documents differ in their validation rules. The first enterprise checking personnel can divide the checking key points in advance according to the bill types, and the efficiency of generating the checking rules can be improved through the category information of the bills. And acquiring the corrected problem information and the bill problem grade information corresponding to the customer according to the attribute information of the bill customer to be verified. And if the cooperation times of the first enterprise and the document client to be verified are too small, obtaining the correction problem information of the client with the highest association degree and the document problem grade information through the association degree analysis of the first enterprise and other client attribute information with a large cooperation times.
And acquiring a first correction problem set and a first correction problem grade set from the correction problem information and the bill problem grade information corresponding to all bill categories according to the category information of the bill to be checked. Namely the set of problems and the problem level which can occur to obtain the type of documents. And (4) establishing a verification rule according to the frequency of the occurrence of the problems and the grade condition of the problems. For example: if the high-level problems of the checked document occur too many times, secondary checking is needed, and multiple times of checking are needed after correction. The method and the device achieve the purpose of making the verification rule aiming at the attribute information of the client and the category information of the document to be verified, improve the pertinence of verification and improve the verification efficiency.
Further, step S550 in the embodiment of the present application further includes:
step S551: obtaining a first preset risk coefficient;
step S552: judging whether the risk coefficient of the document to be checked is larger than the first preset risk coefficient or not;
step S553: if the risk coefficient of the document to be checked is larger than the first preset risk coefficient, performing machine pre-checking on the document to be checked to obtain a pre-checking result;
step S554: performing manual verification based on the pre-verification result and the verification rule to obtain the document verification result, wherein the document verification result comprises information to be corrected;
step S555: and marking the verification result by using the first correction information as marking information.
Specifically, the first preset risk coefficient is set according to the opinion of a first enterprise internal document auditing department. Representing the risk prediction of different customer documents and reflecting the trust degree of different customers. And adjusting the subsequent specific verification steps according to the risk coefficient of the document to be verified. And if the risk coefficient of the document to be checked is higher than the first preset risk coefficient, the risk is higher. And performing machine pre-verification on the document to be verified, namely performing computer verification by adopting the existing document verification technology (such as an OCR image recognition and analysis technology) to obtain a pre-verification result, sending the pre-verification result and a verification rule to a verifier for manual verification, and finally manually issuing a verification result, namely the document verification result. And if the document is verified to be correct, the verification result and the document to be verified are encrypted and stored, and if the document is verified to be defective, first correction information is generated according to the verification result, namely the document is verified to be defective. And sending the first correction information to a client, and after correction, performing machine pre-verification and manual verification until the verification is correct. And converting each correction process into correction times information and correction problem information and storing the correction times information and the correction problem information in first correction information. Further, the verification result is marked using the first correction information as marking information. And the marked verification result and the verification document are encrypted and stored together. Accurate identification of documents of high-risk customers and machine verification of the documents of the high-risk customers in manual verification are achieved, and therefore verification omission is reduced.
Further, step S550 in the embodiment of the present application further includes:
step S556: if the risk coefficient of the document to be checked is smaller than the first preset risk coefficient, performing machine check on the document to be checked to obtain a document check result, wherein the document check result comprises second correction information;
step S557: and marking the bill verification result by using the second correction information as marking information.
Specifically, the first preset risk coefficient is set according to the opinion of the first enterprise internal document auditing department. If the risk coefficient of the document to be checked is smaller than the first preset risk coefficient, the risk of cooperation with the customer is lower and controllable, because the customer has higher long-term document quality and the historical transaction efficiency and the benefits are good. And for the bill with the risk coefficient smaller than the first preset risk coefficient, performing machine verification by using a computer, and encrypting and storing the verification result and the bill if the verification result is correct. And if the verification result shows a problem, generating second correction information according to the verification result, namely verifying the problem of the document. And sending the second correction information to the client, and performing machine verification after the client corrects the second correction information until the verification is correct. And converting each correction process into correction times information and correction problem information and storing the correction times information and the correction problem information in second correction information. And marking the document verification result by using the second correction information as marking information. And encrypting and storing the marked verification result and the verification document. The effect that only machine check is carried out on the client documents with low risk is achieved, the labor cost is greatly reduced, and the enterprise expenditure is reduced.
To sum up, the document verification information processing method and system provided by the embodiment of the application have the following technical effects:
1. the method adopts the steps of obtaining an enterprise document set and an enterprise customer set; classifying the enterprise document sets according to the enterprise customer sets to obtain each customer document set; analyzing historical transaction information of the customers based on the customer document sets to obtain a customer transaction efficiency analysis result and a customer transaction benefit analysis result; performing document quality evaluation on each customer document set to obtain a document quality evaluation result; acquiring document information to be verified and verification rules; performing risk evaluation on document information to be checked based on a customer transaction efficiency analysis result, a customer transaction benefit analysis result and a document quality evaluation result to obtain a document risk coefficient to be checked; performing document verification based on the risk coefficient of the document to be verified and the verification rule to obtain a document verification result; the embodiment of the application provides a document verification information processing method and system, achieves the purposes of performing quality evaluation on a historical document of a client by analyzing historical transaction information of a client, realizing risk evaluation on the client of the document to be verified, realizing targeted verification on the document, improving the identification capability of the high-risk document, improving the document verification efficiency and the document verification result processing efficiency, and realizing the technical effect of document information traceability calling.
2. Due to the adoption of the method for analyzing the number of times of cooperation of the customers according to the customer attribute information of the document to be checked, risk evaluation is carried out by using a customer transaction efficiency analysis result, a customer transaction benefit analysis result and a first evaluation result of document quality evaluation which correspond to the matched customer attribute information, and the risk coefficient of the document to be checked is obtained. The method and the system solve the problem that the evaluation accuracy of the risk of the client is not high when the number of times of cooperation between the client and the first enterprise is too small, and achieve the technical effect of reducing the risk of cooperation with a new client.
Example two
Based on the same inventive concept as the document verification information processing method in the foregoing embodiment, as shown in fig. 4, an embodiment of the present application provides a document verification information processing system, where the system includes:
a first obtaining unit 11, where the first obtaining unit 11 is configured to obtain a first enterprise document set and a first enterprise customer set;
a second obtaining unit 12, where the second obtaining unit 12 is configured to classify the first enterprise document set according to the first enterprise customer set, and obtain each customer document set;
a third obtaining unit 13, where the third obtaining unit 13 is configured to perform historical transaction information analysis on the customers based on the customer document sets, and obtain a customer transaction efficiency analysis result and a customer transaction benefit analysis result;
a fourth obtaining unit 14, where the fourth obtaining unit 14 is configured to perform document quality evaluation on each customer document set to obtain a first evaluation result;
the fifth obtaining unit 15, where the fifth obtaining unit 15 is configured to obtain document information to be verified and verification rules of the document information to be verified;
a sixth obtaining unit 16, where the sixth obtaining unit 16 is configured to perform risk evaluation on the to-be-verified document information based on the customer transaction efficiency analysis result, the customer transaction benefit analysis result, and the first evaluation result, and obtain a to-be-verified document risk coefficient;
a seventh obtaining unit 17, where the seventh obtaining unit 17 is configured to perform document verification based on the risk coefficient of the document to be verified and the verification rule, and obtain a document verification result;
and the first execution unit 18 is used for marking the document verification result, and encrypting and storing the document verification result through a block chain processing technology.
Further, the system comprises:
an eighth obtaining unit, configured to obtain a first set of time periods based on the sets of customer documents;
a ninth obtaining unit, configured to perform time subset division on the first time period set to obtain a first time subset set;
a tenth obtaining unit, configured to perform weight distribution based on the first time subset set, and obtain a first weight distribution result;
and the eleventh obtaining unit is used for evaluating the bill quality of each customer bill set based on the first weight distribution result, the bill problem grade information of each customer and the corrected problem frequency information to obtain the first evaluation result.
Further, the system comprises:
a twelfth obtaining unit, configured to obtain a historical verification result of each customer document set;
a thirteenth obtaining unit configured to obtain correction number information and correction problem information based on the historical verification result;
a fourteenth obtaining unit, configured to count the number of times of each correction problem according to the correction number information and the correction problem information, and obtain information on the number of times of each correction problem;
and a fifteenth obtaining unit, configured to rank order the corrected questions to obtain document question rank information of each customer.
Further, the system comprises:
a first constructing unit, configured to construct an enterprise customer database based on the first enterprise customer set, where the enterprise customer database includes customer attribute information;
a sixteenth obtaining unit, configured to obtain, based on the information of the document to be verified, the number of times of cooperation of a document customer to be verified;
a seventeenth obtaining unit, configured to obtain attribute information of a document customer to be verified if the number of times of cooperation is lower than a first preset number of times;
an eighteenth obtaining unit, configured to perform correlation analysis on the customer attribute information of the document to be verified and the customer attribute information to obtain matching customer attribute information;
and the nineteenth obtaining unit is used for carrying out risk evaluation according to the matched customer attribute information to obtain the risk coefficient of the document to be verified.
Further, the system comprises:
a twentieth obtaining unit, configured to obtain attribute information of a document customer to be verified based on the document information to be verified;
a twenty-first obtaining unit, configured to obtain category information of the document to be verified;
a twenty-second obtaining unit, configured to obtain the correction question information and the document question level information based on the attribute information of the document customer to be verified;
the first matching unit is used for matching a first correction problem set and a first correction problem grade set from the correction problem information and the bill problem grade information based on the category information of the bill to be checked;
a twenty-third obtaining unit, configured to obtain the verification rule of the document information to be verified based on the first corrected problem set and the first corrected problem level set.
Further, the system comprises:
a twenty-fourth obtaining unit for obtaining a first preset risk coefficient;
the first judging unit is used for judging whether the risk coefficient of the document to be checked is larger than the first preset risk coefficient or not;
a twenty-fifth obtaining unit, configured to perform machine pre-verification on the document to be verified if the risk coefficient of the document to be verified is greater than the first preset risk coefficient, and obtain a pre-verification result;
a twenty-sixth obtaining unit, configured to perform manual verification based on the pre-verification result and the verification rule to obtain the document verification result, where the document verification result includes information to be corrected;
and the second execution unit is used for marking the verification result by taking the first correction information as marking information.
Further, the system comprises:
a twenty-seventh obtaining unit, configured to perform machine verification on the to-be-verified document if the risk coefficient of the to-be-verified document is smaller than the first preset risk coefficient, and obtain a document verification result, where the document verification result includes second correction information;
and the third execution unit is used for marking the bill verification result by taking the second correction information as marking information.
Exemplary electronic device
The electronic device of the embodiment of the present application is described below with reference to fig. 5. Based on the same inventive concept as the document verification information processing method in the foregoing embodiment, an embodiment of the present application further provides a document verification information processing system, including: a processor coupled to a memory, the memory for storing a program that, when executed by the processor, causes a system to perform the method of any of the first aspects.
The electronic device 300 includes: processor 302, communication interface 303, memory 301. Optionally, the electronic device 300 may also include a bus architecture 304. Wherein, the communication interface 303, the processor 302 and the memory 301 may be connected to each other through a bus architecture 304; the bus architecture 304 may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus architecture 304 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in FIG. 5, but this is not intended to represent only one bus or type of bus.
The communication interface 303 is a system using any transceiver or the like, and is used for communicating with other devices or communication networks, such as ethernet, Radio Access Network (RAN), Wireless Local Area Network (WLAN), wired access network, and the like.
The memory 301 may be, but is not limited to, a ROM or other type of static storage device that can store static information and instructions, a RAM or other type of dynamic storage device that can store information and instructions, an electrically erasable Programmable read-only memory (EEPROM), a compact disk read-only memory (CD-ROM) or other optical disk storage, optical disk storage (including compact disk, laser disk, optical disk, digital versatile disk, blu-ray disk, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. The memory may be self-contained and coupled to the processor through a bus architecture 304. The memory may also be integral to the processor.
The memory 301 is used for storing computer-executable instructions for executing the present application, and is controlled by the processor 302 to execute. The processor 302 is configured to execute the computer-executable instructions stored in the memory 301, so as to implement a method for processing document verification information provided by the above-mentioned embodiment of the present application.
Optionally, the computer-executable instructions in the embodiments of the present application may also be referred to as application program codes, which are not specifically limited in the embodiments of the present application.
The embodiment of the application provides a bill verification information processing method, wherein the method comprises the following steps: acquiring an enterprise document set and an enterprise customer set; classifying the enterprise document sets according to the enterprise customer sets to obtain each customer document set; analyzing historical transaction information of the customers based on the customer document sets to obtain a customer transaction efficiency analysis result and a customer transaction benefit analysis result; performing document quality evaluation on each customer document set to obtain a document quality evaluation result; acquiring information of a document to be checked and a checking rule; performing risk evaluation on document information to be checked based on a customer transaction efficiency analysis result, a customer transaction benefit analysis result and a document quality evaluation result to obtain a document risk coefficient to be checked; performing document verification based on the risk coefficient of the document to be verified and the verification rule to obtain a document verification result; and adding a mark of the verification result to the document verification result, and encrypting and storing the document verification result by a block chain processing technology.
Those of ordinary skill in the art will understand that: the various numbers of the first, second, etc. mentioned in this application are only used for the convenience of description and are not used to limit the scope of the embodiments of this application, nor to indicate the order of precedence. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "at least one" means one or more. At least two means two or more. "at least one," "any," or similar expressions refer to any combination of these items, including any combination of singular or plural items. For example, at least one (one ) of a, b, or c, may represent: a, b, c, a-b, a-c, b-c, or a-b-c, wherein a, b, c may be single or multiple.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the application to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable system. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website site, computer, server, or data center to another website site, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device including one or more available media integrated servers, data centers, and the like. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
The various illustrative logical units and circuits described in this application may be implemented or operated upon by general purpose processors, digital signal processors, Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other programmable logic systems, discrete gate or transistor logic, discrete hardware components, or any combination thereof. A general-purpose processor may be a microprocessor, but in the alternative, the processor may be any conventional processor, controller, microcontroller, or state machine. A processor may also be implemented as a combination of computing systems, e.g., a digital signal processor and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a digital signal processor core, or any other similar configuration.
The steps of a method or algorithm described in the embodiments herein may be embodied directly in hardware, in a software element executed by a processor, or in a combination of the two. The software cells may be stored in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. For example, a storage medium may be coupled to the processor such the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an ASIC, which may be disposed in a terminal. In the alternative, the processor and the storage medium may reside in different components within the terminal. These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Although the present application has been described in conjunction with specific features and embodiments thereof, it will be evident that various modifications and combinations can be made thereto without departing from the spirit and scope of the application. Accordingly, the specification and figures are merely exemplary of the present application as defined herein, and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of the present application. It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the scope of the application. Thus, it is intended that the present application include such modifications and variations as come within the scope of the application and its equivalents.
Claims (7)
1. A document verification information processing method is characterized by comprising the following steps:
obtaining a first enterprise bill set and a first enterprise customer set;
classifying the first enterprise receipt set according to the first enterprise customer set to obtain each customer receipt set;
analyzing historical transaction information of the customers based on the customer document sets to obtain a customer transaction efficiency analysis result and a customer transaction benefit analysis result;
carrying out bill quality evaluation on each customer bill set to obtain a first evaluation result;
obtaining document information to be verified and verification rules of the document information to be verified;
performing risk evaluation on the document information to be checked based on the customer transaction efficiency analysis result, the customer transaction benefit analysis result and the first evaluation result to obtain a risk coefficient of the document to be checked;
performing document verification based on the risk coefficient of the document to be verified and the verification rule to obtain a document verification result;
marking the bill verification result, and encrypting and storing the bill verification result through a block chain processing technology;
obtaining a first set of time periods based on the sets of customer documents;
dividing the first time period set into time subsets to obtain a first time subset set;
performing weight distribution based on the first time subset set to obtain a first weight distribution result;
performing bill quality evaluation on each customer bill set based on the first weight distribution result, the bill problem grade information of each customer and the corrected problem frequency information to obtain a first evaluation result;
obtaining the historical verification result of each customer document set;
obtaining correction frequency information and correction problem information based on the historical verification result;
counting the times of each correction problem according to the correction time information and the correction problem information to obtain the time information of each correction problem;
and ranking the corrected questions to obtain the document question rank information of each customer.
2. The method of claim 1, wherein the method comprises:
constructing an enterprise customer database based on the first enterprise customer set, wherein the enterprise customer database comprises attribute information of each customer;
acquiring the cooperation times of the document client to be verified based on the document information to be verified;
if the cooperation times are lower than the first preset times, obtaining attribute information of a document client to be verified;
carrying out correlation analysis on the customer attribute information of the document to be checked and the attribute information of each customer to obtain matched customer attribute information;
and carrying out risk evaluation according to the matched customer attribute information to obtain the risk coefficient of the document to be verified.
3. The method of claim 1, wherein the method comprises:
acquiring attribute information of a document client to be verified based on the document information to be verified;
obtaining the category information of the document to be verified;
obtaining the correction problem information and the bill problem grade information based on the attribute information of the bill customer to be verified;
matching a first correction problem set and a first correction problem grade set from the correction problem information and the bill problem grade information based on the category information of the bill to be verified;
and obtaining the verification rule of the document information to be verified based on the first correction problem set and the first correction problem grade set.
4. The method of claim 3, wherein the method comprises:
obtaining a first preset risk coefficient;
judging whether the risk coefficient of the document to be checked is larger than the first preset risk coefficient or not;
if the risk coefficient of the document to be checked is larger than the first preset risk coefficient, performing machine pre-checking on the document to be checked to obtain a pre-checking result;
performing manual verification based on the pre-verification result and the verification rule to obtain the document verification result, wherein the document verification result comprises information to be corrected;
and marking the verification result by using the first correction information as marking information.
5. The method of claim 4, wherein the method comprises:
if the risk coefficient of the document to be checked is smaller than the first preset risk coefficient, performing machine check on the document to be checked to obtain a document check result, wherein the document check result comprises second correction information;
and marking the bill verification result by using the second correction information as marking information.
6. A document authentication information processing system, the system comprising:
the system comprises a first obtaining unit, a second obtaining unit and a third obtaining unit, wherein the first obtaining unit is used for obtaining a first enterprise bill set and a first enterprise customer set;
the second obtaining unit is used for classifying the first enterprise bill set according to the first enterprise customer set to obtain each customer bill set;
a third obtaining unit, configured to perform historical transaction information analysis on the customers based on the customer document sets, and obtain a customer transaction efficiency analysis result and a customer transaction benefit analysis result;
the fourth obtaining unit is used for evaluating the bill quality of each customer bill set to obtain a first evaluation result;
the fifth obtaining unit is used for obtaining the document information to be verified and the verification rule of the document information to be verified;
a sixth obtaining unit, configured to perform risk assessment on the document information to be verified based on the customer transaction efficiency analysis result, the customer transaction benefit analysis result, and the first assessment result, and obtain a risk coefficient of the document to be verified;
the seventh obtaining unit is used for carrying out bill verification based on the risk coefficient of the bill to be verified and the verification rule to obtain a bill verification result;
the first execution unit is used for marking the bill verification result, and encrypting and storing the bill verification result through a block chain processing technology;
an eighth obtaining unit, configured to obtain a first set of time periods based on the sets of customer documents;
a ninth obtaining unit, configured to perform time subset division on the first time period set to obtain a first time subset set;
a tenth obtaining unit, configured to perform weight distribution based on the first time subset set, and obtain a first weight distribution result;
an eleventh obtaining unit, configured to perform document quality evaluation on each customer document set based on the first weight distribution result, document problem level information of each customer, and each corrected problem frequency information, and obtain the first evaluation result;
a twelfth obtaining unit, configured to obtain a historical verification result of each customer document set;
a thirteenth obtaining unit configured to obtain correction number information and correction problem information based on the historical verification result;
a fourteenth obtaining unit, configured to count the number of times of each correction problem according to the correction number information and the correction problem information, and obtain information on the number of times of each correction problem;
a fifteenth obtaining unit, configured to rank order the correction questions, and obtain document question rank information of each customer.
7. A document authentication information processing system, comprising: a processor coupled to a memory for storing a program that, when executed by the processor, causes a system to perform the method of any of claims 1-5.
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