CN109460995A - Financial accreditation method, apparatus, computer equipment and storage medium - Google Patents
Financial accreditation method, apparatus, computer equipment and storage medium Download PDFInfo
- Publication number
- CN109460995A CN109460995A CN201811118142.2A CN201811118142A CN109460995A CN 109460995 A CN109460995 A CN 109460995A CN 201811118142 A CN201811118142 A CN 201811118142A CN 109460995 A CN109460995 A CN 109460995A
- Authority
- CN
- China
- Prior art keywords
- data
- credential data
- voucher
- credentials file
- credential
- 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.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 45
- 238000001514 detection method Methods 0.000 claims abstract description 89
- 230000005856 abnormality Effects 0.000 claims abstract description 84
- 238000004590 computer program Methods 0.000 claims description 27
- 239000000284 extract Substances 0.000 claims description 7
- 230000005540 biological transmission Effects 0.000 claims description 3
- 238000012360 testing method Methods 0.000 claims description 2
- 230000002159 abnormal effect Effects 0.000 abstract description 19
- 241001269238 Data Species 0.000 abstract description 9
- 230000008859 change Effects 0.000 description 14
- 238000012795 verification Methods 0.000 description 8
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 6
- 238000010586 diagram Methods 0.000 description 5
- 230000008569 process Effects 0.000 description 5
- 230000015572 biosynthetic process Effects 0.000 description 4
- 238000012545 processing Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 2
- 238000007726 management method Methods 0.000 description 2
- 239000000203 mixture Substances 0.000 description 2
- 238000012958 reprocessing Methods 0.000 description 2
- 238000012216 screening Methods 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 238000012550 audit Methods 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000002708 enhancing effect Effects 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003252 repetitive effect Effects 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 230000001360 synchronised effect Effects 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q20/00—Payment architectures, schemes or protocols
- G06Q20/38—Payment protocols; Details thereof
- G06Q20/382—Payment protocols; Details thereof insuring higher security of transaction
- G06Q20/3821—Electronic credentials
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/12—Accounting
- G06Q40/125—Finance or payroll
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Landscapes
- Business, Economics & Management (AREA)
- Accounting & Taxation (AREA)
- Finance (AREA)
- Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Strategic Management (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- Computer Security & Cryptography (AREA)
- Development Economics (AREA)
- Economics (AREA)
- Marketing (AREA)
- Technology Law (AREA)
- Financial Or Insurance-Related Operations Such As Payment And Settlement (AREA)
- Storage Device Security (AREA)
Abstract
This application involves a kind of financial accreditation method, apparatus, computer equipment and storage medium based on data resource.Method includes: server by receiving the voucher generation request that terminal is sent, and generates the corresponding financial affair work type of request according to voucher.Credential data is obtained from service database according to financial affair work type, and multiple Credential datas are transmitted in voucher pond, and credentials file is generated according to Credential data, credentials file is carried out abnormality detection, when passing through abnormality detection, credentials file is sent to terminal.Using this method by carrying out abnormality detection before credentials file is sent to terminal, accreditation abnormal problem can be handled in time, avoided consuming a large amount of manpowers and repeated artificial accreditation, reduce resource consumption.
Description
Technical field
This application involves field of computer technology, more particularly to a kind of financial accreditation method, apparatus, computer equipment and
Storage medium.
Background technique
With the development of computer technology, there are a variety of electronic certificates for different business, it is traditionally mainly logical
Artificial capturing service data are crossed, and business datum is subjected to audit processing, relevant accreditation information is added.According to financial data
During the accreditation for carrying out accreditation, mainly financial data is operated using manual operation, to realize financial accreditation, but with
The quantity of a variety of financial affair works increase, the artificial workload for carrying out financial accreditation also increases significantly, causes to waste a large amount of manpowers
Resource.
Summary of the invention
Based on this, it is necessary in view of the above technical problems, provide a kind of financial accreditation that can reduce human resources consumption
Method, apparatus, computer equipment and storage medium.
A kind of finance accreditation method, which comprises
It receives the voucher that terminal is sent and generates request, and the corresponding financial affair work class of request is generated according to the voucher
Type；
Credential data is obtained from service database according to the financial affair work type；
The Credential data is transmitted in voucher pond, and credentials file is generated according to the Credential data；
The credentials file is carried out abnormality detection；
When through the abnormality detection, the credentials file is sent to terminal.
In one of the embodiments, the method also includes:
Credential data is classified according to financial affair work type；
Corresponding storage folder is created in service database according to the financial affair work type；
According to the corresponding relationship between preset financial affair work type and storage folder, by Credential data deposit pair
In the storage folder answered.
It is described in one of the embodiments, that the Credential data is transmitted in voucher pond, and according to the voucher number
According to generation credentials file, comprising:
The Credential data and the corresponding default Credential data of the financial affair work type are compared；
When the Credential data is consistent with the default Credential data, the Credential data is by initially verifying；
It obtains by the corresponding attribute information of Credential data initially verified, by the attribute information of the Credential data
It is compared with preset attribute rule；
When the attribute information of the Credential data and consistent preset attribute rule, the Credential data passes through complete
Property verification；
The Credential data for passing through the completeness check is obtained, and raw according to the Credential data by the completeness check
At credentials file.
It is described in one of the embodiments, that the credentials file is carried out abnormality detection, comprising:
Extract the corresponding attribute information of the credentials file；
According to the corresponding relationship between preset financial affair work type and voucher rule, obtain and the financial affair work type
Corresponding voucher rule；
Preliminary abnormality detection is carried out to the attribute information according to the voucher rule；
When the attribute information and consistent voucher rule, the credentials file passes through the preliminary abnormality detection.
In one of the embodiments, the method also includes:
Obtain the corresponding current pipelined data of the credentials file by preliminary abnormality detection；
According to the corresponding relationship between preset credentials file and default pipelined data, obtain corresponding with the credentials file
Default pipelined data；
When the current pipelined data is consistent with the default pipelined data, the credentials file passes through abnormality detection.
In one of the embodiments, the method also includes:
A plurality of transaction journal data are received, and is obtained from the transaction journal data and repeats pipelined data；
It repeats to extract representative pipelined data in pipelined data from described, and deletes extra repetition pipelined data；
Credential data is generated according to the representative pipelined data.
A kind of finance accreditation device, described device include:
Receiving module, the voucher for receiving terminal transmission generates request, and generates request pair according to the voucher
The financial affair work type answered；
Credential data obtains module, for obtaining Credential data from service database according to the financial affair work type；
Credentials file generation module, for the Credential data to be transmitted in voucher pond, and according to the Credential data
Generate credentials file；
Abnormality detection module, for being carried out abnormality detection to the credentials file；
Sending module, for when through the abnormality detection, the credentials file to be sent to terminal.
In one of the embodiments, further include Credential data generation module, be used for:
Credential data is classified according to financial affair work type；According to the financial affair work type in service database
Create corresponding storage folder；It, will be described according to the corresponding relationship between preset financial affair work type and storage folder
Credential data is stored in corresponding storage folder.
A kind of computer equipment, including memory and processor, the memory are stored with computer program, the processing
Device performs the steps of when executing the computer program
It receives the voucher that terminal is sent and generates request, and the corresponding financial affair work class of request is generated according to the voucher
Type；
Credential data is obtained from service database according to the financial affair work type；
The Credential data is transmitted in voucher pond, and credentials file is generated according to the Credential data；
The credentials file is carried out abnormality detection；
When through the abnormality detection, the credentials file is sent to terminal.
A kind of computer readable storage medium, is stored thereon with computer program, and the computer program is held by processor
It is performed the steps of when row
It receives the voucher that terminal is sent and generates request, and the corresponding financial affair work class of request is generated according to the voucher
Type；
Credential data is obtained from service database according to the financial affair work type；
The Credential data is transmitted in voucher pond, and credentials file is generated according to the Credential data；
The credentials file is carried out abnormality detection；
When through the abnormality detection, the credentials file is sent to terminal.
Above-mentioned finance accreditation method, apparatus, computer equipment and storage medium, server by receive that terminal sends with
Card generates request, and generates the corresponding financial affair work type of request according to voucher, according to financial affair work type from business number
According to obtaining Credential data in library, and multiple Credential datas are transmitted in voucher pond, credentials file is generated according to Credential data, it is right
Credentials file carries out abnormality detection, and when passing through abnormality detection, credentials file is sent to terminal.By being sent out by credentials file
It send to carrying out abnormality detection before terminal, accreditation abnormal problem can be handled in time, avoid consuming a large amount of manpowers and repeat manually
Accreditation reduces resource consumption.
Detailed description of the invention
Fig. 1 is the application scenario diagram of financial accreditation method in one embodiment；
Fig. 2 is the flow diagram of financial accreditation method in one embodiment；
Fig. 3 is Credential data to be transmitted in voucher pond in one embodiment, and generate credentials file according to Credential data
Flow diagram；
Fig. 4 is the structural block diagram of financial accreditation device in one embodiment；
Fig. 5 is the internal structure chart of computer equipment in one embodiment.
Specific embodiment
It is with reference to the accompanying drawings and embodiments, right in order to which the objects, technical solutions and advantages of the application are more clearly understood
The application is further elaborated.It should be appreciated that specific embodiment described herein is only used to explain the application, not
For limiting the application.
Finance accreditation method provided by the present application, can be applied in application environment as shown in Figure 1.Wherein, terminal 102
It is communicated by network with server 104.Server 104 receives the voucher that terminal 102 is sent and generates request, and according to voucher
Generate the corresponding financial affair work type of request.Credential data is obtained from service database according to financial affair work type, it will
Credential data is transmitted in voucher pond, and generates credentials file according to Credential data.Credentials file is carried out abnormality detection, when logical
When crossing abnormality detection, credentials file is sent to terminal 102 by server 104.Wherein, terminal 102 can be, but not limited to be various
Personal computer, laptop, smart phone and tablet computer, server 104 can be either more with independent server
The server cluster of a server composition is realized.
In one embodiment, as shown in Fig. 2, providing a kind of financial accreditation method, it is applied in Fig. 1 in this way
It is illustrated for server, comprising the following steps:
S202, the voucher that server receiving terminal is sent generates request, and generates the corresponding wealth of request according to voucher
Business type of service.
Specifically, there are corresponding relationship between different voucher identifications and different financial affair work types, server can basis
Corresponding relationship between preset voucher identification and financial affair work type obtains financial affair work type corresponding with voucher identification.
Wherein, voucher identification include paying voucher mark, payment voucher mark, reimbursement voucher identification, voucher identification of making out an invoice,
Contract voucher identification on hire, in advance clearance voucher identification, assets change voucher identification and receipt and payment deduction voucher identification etc., corresponding
Financial affair work type be respectively gathering, payment, reimbursement, make out an invoice, contract is on hire, in advance clear, assets change and receipt and payment support
Button.
By taking the voucher for carrying paying voucher mark that server receiving terminal is sent generates request as an example, server is according to end
The voucher that end is sent generates the paying voucher mark that request carries, and gathering corresponding with paying voucher mark is obtained from database
Business.Likewise, for other voucher identifications are carried, such as payment voucher mark reimbursement voucher identification and voucher identification of making out an invoice
Voucher generates request, and server can obtain corresponding payment business, reimbursement business and business of making out an invoice from database.
S204, server obtain Credential data according to financial affair work type from service database.
Specifically, different financial affair work types correspond to different Credential datas, that is to say, that financial affair work type and voucher
There are corresponding relationships between data.Server can according to the corresponding relationship between preset financial affair work type and Credential data,
Credential data corresponding with financial affair work type is obtained from service database.
Wherein, Credential data is by by the electronic data file that operates of data execution voucher, it may also be said to be
When carrying out paperless trading by management information system, for proving that transaction has occurred and that or completes, both parties' method is specified
Responsibility, record transaction original form and content are restrained, and is used as the electronic data file of follow-up working process.Voucher refers to
By the entry data of management information system, in the form of the electronic document with legal effect, the process of tissue and realization is carried out, it should
Process is to realize with no paper premise of trading, the electronic data file which generates, i.e. electronics original certificate.
Further, financial affair work type be respectively gathering, payment, reimbursement, make out an invoice, contract is on hire, in advance clear, assets
Change and receipt and payment deduction etc., corresponding Credential data include paying voucher data, payment voucher data, reimbursement Credential data,
Make out an invoice Credential data, contract Credential data on hire, in advance clear Credential data, assets change Credential data and receipt and payment deduction with
Demonstrate,prove data.Server can obtain corresponding with the business of making out an invoice according to the corresponding relationship between the business of making out an invoice and Credential data of making out an invoice
It makes out an invoice Credential data.Likewise, server can also be corresponding to it according to gathering business, payment business and reimbursement business, acquisition
Paying voucher data, payment voucher data and reimbursement Credential data.
Credential data is transmitted in voucher pond by S206, server, and generates credentials file according to Credential data.
Wherein, voucher pond is for verifying Credential data, including is initially verified to Credential data and integrality
Verification, and according to by initially verifying the Credential data with completeness check, generate credentials file.
Specifically, server obtains the corresponding default Credential data of financial affair work type, and by Credential data and financial industry
The corresponding default Credential data of service type is compared, when Credential data is consistent with default Credential data, then it represents that voucher number
According to by initially verifying.After initially verifying, server obtains the corresponding attribute information of Credential data by initially verifying,
And the attribute information of Credential data and preset attribute rule are compared, when the attribute information and preset attribute of Credential data are advised
When then consistent, then it represents that Credential data passes through completeness check.Server obtains the Credential data by completeness check, and root
Credentials file is generated according to by the Credential data of completeness check.
Further, payment voucher data are obtained with server, generating payment voucher file according to payment voucher data is
Example.Server obtains payment voucher data and the corresponding default payment voucher data of payment business, and voucher pond is by payment voucher
Data and default payment voucher data are compared, when payment voucher data are consistent with default payment voucher data, then it represents that
Payment voucher data are by initially verifying.After initially verifying, server obtains the payment voucher data by initially verifying
Corresponding attribute information, and the attribute information of payment voucher data and preset attribute rule are compared, when payment voucher number
According to attribute information and preset attribute rule it is consistent when, then it represents that payment voucher data pass through completeness check.Server obtains
Payment voucher text is generated by the payment voucher data of completeness check, and according to the payment voucher data by completeness check
Part.
S208, server carry out abnormality detection credentials file.
S210, when passing through abnormality detection, credentials file is sent to terminal by server.
Specifically, the abnormality detection that server carries out credentials file includes: that server obtains preset financial affair work class
Type and voucher rule between corresponding relationship, and according to preset financial affair work type and voucher rule between corresponding relationship,
Obtain voucher rule corresponding with financial affair work type.Server extracts the corresponding attribute information of credentials file, and according to voucher
Rule carries out preliminary abnormality detection to attribute information, and when attribute information and consistent voucher rule, credentials file passes through preliminary different
Often detection.
Server obtains and credentials file pair according to the corresponding relationship between preset credentials file and default pipelined data
The default pipelined data answered indicates that credentials file passes through abnormality detection when current pipelined data is consistent with default pipelined data.
After credentials file passes through abnormality detection, server will be sent to terminal by the credentials file of abnormality detection.
Wherein, voucher rule be preset credentials file attribution rule corresponding with financial affair work type, for
The attribute information of card file is compared, and judges whether credentials file meets preset credentials file attribute and advise according to comparison result
Then.
In above-mentioned finance accreditation method, server generates request by receiving the voucher that terminal is sent, and raw according to voucher
At the corresponding financial affair work type of request, Credential data is obtained from service database according to financial affair work type, and will
Multiple Credential datas are transmitted in voucher pond, are generated credentials file according to Credential data, are carried out abnormality detection to credentials file, when
When passing through abnormality detection, credentials file is sent to terminal.By carrying out abnormal inspection before credentials file is sent to terminal
It surveys, accreditation abnormal problem can be handled in time, avoid consuming a large amount of manpowers and repeat artificial accreditation, reduce resource consumption.
In one embodiment, provide it is a kind of Credential data is transmitted in voucher pond, and generated according to Credential data
The step of credentials file, comprising:
Credential data and the corresponding default Credential data of financial affair work type are compared for S302, server.
Specifically, different financial affair work types and different default Credential datas are corresponding, and server is according to preset voucher number
According to the corresponding relationship between financial affair work type, Credential data corresponding with financial affair work type is obtained, and by Credential data
It is compared with default Credential data.For example, server can be according to preset contract Credential data on hire and contract business on hire
Between corresponding relationship, obtain corresponding with contract business on hire contract Credential data on hire.By contract Credential data on hire and
Default contract Credential data on hire is compared.
S304, when Credential data is consistent with default Credential data, Credential data is by initially verifying.
Specifically, with paying voucher data instance, server carries out paying voucher data and default paying voucher data
It compares, obtains paying voucher data and default paying voucher data are consistent as a result, indicating that paying voucher data pass through initial school
It tests.
Wherein, it when Credential data and inconsistent default Credential data, indicates that Credential data does not pass through and initially verifies, voucher
Pond can not generate credentials file according to existing Credential data.
S306, server obtains the corresponding attribute information of Credential data by initially verifying, by the attribute of Credential data
Information and preset attribute rule are compared.
Wherein, server obtains the corresponding attribute information of Credential data by initially verifying, including Credential data corresponds to
Content and affiliated voucher classification.Preset attribute rule includes sentencing to the preset requirement and Credential data classification of Credential data content
It is fixed.The corresponding content of Credential data and preset attribute rule are compared server, judge the corresponding content of Credential data, are
It is no consistent for the preset requirement of Credential data content in rule with preset attribute, and by the voucher classification of Credential data, and it is pre-
If the Credential data classification in attribution rule is compared, judge Credential data voucher classification whether with preset attribute rule in
Credential data classification it is consistent.
Further, with to the payment voucher data instance by initially verifying, server is corresponding by payment voucher data
Payment entry and the corresponding money account of each entry, the default of payment voucher data content is wanted with preset rules attribution rule
It asks and is compared, judge the corresponding payment entry of payment voucher data and the corresponding money account of each entry, if with preset rules category
Property rule in it is consistent for the preset requirement of payment voucher data content.
Credential data classification in payment voucher classification belonging to payment voucher data and preset attribute rule is compared
It is right, judge payment voucher classification belonging to payment voucher data, if consistent with the Credential data classification in preset attribute rule.
S308, when the attribute information of Credential data and consistent preset attribute rule, Credential data passes through completeness check.
Specifically, the default of Credential data content is wanted when in the corresponding content of Credential data, with preset attribute rule
Ask consistent, and when the voucher classification of Credential data is consistent with the Credential data classification in preset attribute rule, expression Credential data
Pass through completeness check.
For example, right in the corresponding reimbursement entry of reimbursement Credential data and the corresponding money account of each entry, with preset attribute rule
It is consistent in the preset requirement of reimbursement Credential data content, and in voucher classification and the preset attribute rule of reimbursement Credential data
When Credential data classification is consistent, indicate that reimbursement Credential data passes through completeness check.
S310, server obtain the Credential data by completeness check, and according to the voucher number for passing through completeness check
According to generation credentials file.
Specifically, in the present embodiment, server obtains the reimbursement Credential data for passing through completeness check, and according to by logical
The reimbursement Credential data of completeness check is crossed, reimbursement credentials file is generated.Likewise, server can also according to pass through integrality school
The gathering tested pays the bill, makes out an invoice and contract Credential data on hire, generate it is corresponding collect money, pay the bill, making out an invoice and contract it is on hire with
Demonstrate,prove file.
It is above-mentioned that Credential data is transmitted in voucher pond, and the step of credentials file is generated according to Credential data, by right
Credential data carries out primality verification and completeness check, can get meet default Credential data and preset attribute rule with
File is demonstrate,proved, and credentials file is generated according to the Credential data for having passed through primality verification and completeness check.By to voucher number
According to verification and screening is carried out, satisfactory Credential data is obtained, and credentials file is generated according to satisfactory Credential data,
It can avoid operating undesirable Credential data, improve credentials file formation efficiency.
In one embodiment, a kind of financial accreditation method is provided, further includes:
Server classifies Credential data according to financial affair work type；According to financial affair work type in service database
In create corresponding storage folder；It, will be with according to the corresponding relationship between preset financial affair work type and storage folder
Data are demonstrate,proved to be stored in corresponding storage folder.
Specifically, server is according to the corresponding relationship between preset financial affair work type and Credential data, to voucher number
According to classifying, wherein financial affair work type includes gathering, payment, reimbursement, make out an invoice, contract is on hire, clears in advance, assets change
More and receipt and payment deduction business etc., can by Credential data it is corresponding be divided into gathering, payment, reimbursement, make out an invoice, contract is on hire, clear in advance
It calculates, assets change and receipt and payment deduction Credential data.
Server creates corresponding gathering respectively in the database according to financial affair work type, payment, reimbursement, makes out an invoice, closes
It deducts storage folder on hire, clearance, assets change and receipt and payment in advance, and according to preset financial affair work type and storage
Corresponding relationship between file, respectively by gathering, payment, reimbursement, make out an invoice, contract is on hire, in advance clearance, assets change and
Receipt and payment are deducted Credential data, be stored in corresponding gathering, payment, reimbursement, make out an invoice, contract is on hire, clear in advance, assets change and
Receipt and payment are deducted in storage folder.
Above-mentioned finance accreditation method, provides and stores Credential data as the corresponding storage folder of financial affair work type
In storage method be conducive to obtain different Credential datas according to demand by classification storage difference Credential data, improve with
Demonstrate,prove the acquisition efficiency of data.
In one embodiment, the step of a kind of pair of credentials file carries out abnormality detection is provided, comprising:
Server extracts the corresponding attribute information of credentials file；According between preset financial affair work type and voucher rule
Corresponding relationship, it is regular to obtain corresponding with financial affair work type voucher；Attribute information is carried out according to voucher rule preliminary different
Often detection；When attribute information and consistent voucher rule, credentials file passes through preliminary abnormality detection.
Specifically, the corresponding attribute information of credentials file that server obtains, the affiliated voucher classification including credentials file
And credentials file present position.According to the corresponding relationship between preset financial affair work type and voucher rule, acquisition and wealth
Type of service of being engaged in corresponding voucher rule, including default voucher classification and with default storage folder.
The generic of credentials file is compared server with the default voucher classification that voucher rule includes, judgement
The generic of credentials file, if consistent with the default voucher classification that voucher rule includes.By credentials file present position and
Default storage folder is compared, and judges whether credentials file present position is consistent with default storage folder.When voucher text
The generic of part, it is consistent with the default voucher classification that voucher rule includes, and credentials file present position and default storage text
When part folder is consistent, indicate that credentials file passes through preliminary abnormality detection.
Above-mentioned the step of carrying out abnormality detection to credentials file, server according to voucher rule by carrying out to credentials file
Attribute information carry out preliminary abnormality detection, when the attribute information of credentials file and consistent voucher rule, indicate it is corresponding with
Card file passes through preliminary abnormality detection.By carrying out preliminary abnormality detection to credentials file, can be obtained in time according to voucher rule
The abnormal conditions that credentials file occurs, are conducive to found the abnormal situation as early as possible, and take further measures to abnormal conditions, avoid
Abnormal credentials file is sent to terminal, guarantees the accuracy rate of credentials file.
In one embodiment, the step of a kind of pair of credentials file carries out abnormality detection is provided, further includes:
Server obtains the corresponding current pipelined data of credentials file by preliminary abnormality detection；According to preset voucher
Corresponding relationship between file and default pipelined data obtains default pipelined data corresponding with credentials file；When current flowing water
When data are consistent with default pipelined data, credentials file passes through abnormality detection.
Specifically, server obtains the corresponding current pipelined data of credentials file by preliminary abnormal part detection, wherein
Credentials file includes gathering, payment, reimbursement, make out an invoice, contract is on hire, clearance, assets change and receipt and payment in advance are deducted, and voucher is literary
Part, pipelined data corresponding from different credentials files be respectively divided into gathering, payment, reimbursement, make out an invoice, contract is on hire, in advance clearance,
Assets change and receipt and payment deduction voucher pipelined data.
According to the corresponding relationship between preset credentials file and default pipelined data, obtain and different credentials files respectively
Corresponding default pipelined data, including default gathering, payment, reimbursement, make out an invoice, contract is on hire, clear in advance, assets change and
Receipt and payment deduction voucher pipelined data.Different current pipelined datas are compared with corresponding default pipelined data respectively, when working as
When preceding pipelined data is consistent with default pipelined data, indicate that corresponding credentials file passes through abnormality detection.
Above-mentioned the step of carrying out abnormality detection to credentials file, server will pass through the Credential data pair of preliminary abnormality detection
The current pipelined data and default pipelined data answered are compared, judge current pipelined data whether with default pipelined data one
It causes, when there is inconsistency, there is shown it is now abnormal, when consistent, indicate that credentials file passes through abnormality detection.By to current flowing water number
It is compared according to default pipelined data, can determine whether credentials file exception occurs, it, can be in time to appearance when occurring abnormal
Exception positioned in time, and carry out respective handling, reduce the abnormal rate for being sent to the credentials file of terminal.
In one embodiment, a kind of financial accreditation method is provided, further includes:
Server receives a plurality of transaction journal data, and obtains from transaction journal data and repeat pipelined data；From repetition
Representative pipelined data is extracted in pipelined data, and deletes extra repetition pipelined data；According to representative pipelined data generate with
Demonstrate,prove data.
Specifically, server receives the corresponding a plurality of transaction journal of paying voucher file, and carries out to a plurality of transaction journal
Analysis processing obtains repetition gathering pipelined data therein, and representativeness gathering flowing water number is extracted from repetition gathering pipelined data
According to deleting other extra repetitions gathering pipelined datas, generate paying voucher data according to representativeness gathering pipelined data.Equally
, server can also according to payment, reimbursement, make out an invoice, that contract is on hire, clearance, assets change and receipt and payment in advance are deducted is representative
Pipelined data, generate respectively corresponding payment, reimbursement, make out an invoice, contract is on hire, in advance clearance, assets change and receipt and payment deduction
Credential data.
Above-mentioned finance accreditation method, provides the step of generating corresponding Credential data according to pipelined data, by a plurality of
It repeats pipelined data to be handled, avoids server from reprocessing identical pipelined data, generate duplicate Credential data,
The formation efficiency of Credential data is improved, and then is improved work efficiency.
It should be understood that although each step in the flow chart of Fig. 2-3 is successively shown according to the instruction of arrow,
These steps are not that the inevitable sequence according to arrow instruction successively executes.Unless expressly stating otherwise herein, these steps
Execution there is no stringent sequences to limit, these steps can execute in other order.Moreover, at least one in Fig. 2-3
Part steps may include that perhaps these sub-steps of multiple stages or stage are not necessarily in synchronization to multiple sub-steps
Completion is executed, but can be executed at different times, the execution sequence in these sub-steps or stage is also not necessarily successively
It carries out, but can be at least part of the sub-step or stage of other steps or other steps in turn or alternately
It executes.
In one embodiment, as shown in figure 4, providing a kind of financial accreditation device, comprising: wherein:
Receiving module 402, the voucher for receiving terminal transmission generates request, and generates request according to voucher and correspond to
Financial affair work type.
Credential data obtains module 404, for obtaining Credential data from service database according to financial affair work type.
Credentials file generation module 406, for Credential data to be transmitted in voucher pond, and according to Credential data generate with
Demonstrate,prove file.
Abnormality detection module 408, for being carried out abnormality detection to credentials file.
Sending module 410, for when passing through abnormality detection, credentials file to be sent to terminal.
Above-mentioned finance accreditation device, server generates request by receiving the voucher that terminal is sent, and is generated according to voucher
The corresponding financial affair work type of request obtains Credential data according to financial affair work type from service database, and will be more
A Credential data is transmitted in voucher pond, is generated credentials file according to Credential data, is carried out abnormality detection to credentials file, when logical
When crossing abnormality detection, credentials file is sent to terminal.By being carried out abnormality detection before credentials file is sent to terminal,
Accreditation abnormal problem can be handled in time, avoided consuming a large amount of manpowers and repeated artificial accreditation, reduce resource consumption.
In one embodiment, a kind of financial accreditation device is provided, further includes Credential data generation module, is used for:
Credential data is classified according to financial affair work type；It is created in service database according to financial affair work type
Corresponding storage folder；According to the corresponding relationship between preset financial affair work type and storage folder, by Credential data
It is stored in corresponding storage folder.
Above-mentioned finance accreditation device, provides and stores Credential data as the corresponding storage folder of financial affair work type
In storage method be conducive to obtain different Credential datas according to demand by classification storage difference Credential data, improve with
Demonstrate,prove the acquisition efficiency of data.
In one embodiment, a kind of financial accreditation device is provided, wherein credentials file generation module is also used to:
Credential data and the corresponding default Credential data of financial affair work type are compared；When Credential data and it is default with
When card data are consistent, Credential data is by initially verifying；The corresponding attribute information of Credential data by initially verifying is obtained, it will
The attribute information and preset attribute rule of Credential data are compared；When the attribute information and preset attribute rule one of Credential data
When cause, Credential data passes through completeness check；It obtains through the Credential data of completeness check, and according to passing through completeness check
Credential data generate credentials file.
Above-mentioned credentials file generation module can get by carrying out primality verification and completeness check to Credential data
Meet the credentials file of default Credential data and preset attribute rule, and according to having passed through primality verification and completeness check
Credential data generate credentials file.By obtaining satisfactory Credential data to Credential data progress verification and screening, and
Credentials file is generated according to satisfactory Credential data, can avoid operating undesirable Credential data, mention
High credentials file formation efficiency.
In one embodiment, a kind of financial accreditation device is provided, wherein abnormality detection module is also used to:
Extract the corresponding attribute information of credentials file；According to the correspondence between preset financial affair work type and voucher rule
Relationship obtains voucher rule corresponding with financial affair work type；Preliminary abnormality detection is carried out to attribute information according to voucher rule；
When attribute information and consistent voucher rule, credentials file passes through preliminary abnormality detection.
Above-mentioned abnormality detection module, server is by carry out just the attribute information of credentials file according to voucher rule
Abnormality detection is walked, when the attribute information of credentials file and consistent voucher rule, it is preliminary different to indicate that corresponding credentials file passes through
Often detection.By carrying out preliminary abnormality detection to credentials file, the different of credentials file appearance can be obtained in time according to voucher rule
Reason condition is conducive to found the abnormal situation as early as possible, and takes further measures to abnormal conditions, avoids sending out abnormal credentials file
It send to terminal, guarantees the accuracy rate of credentials file.
In one embodiment, a kind of financial accreditation device is provided, wherein abnormality detection module is also used to:
Obtain the corresponding current pipelined data of credentials file by preliminary abnormality detection；According to preset credentials file and
Corresponding relationship between default pipelined data, obtains default pipelined data corresponding with credentials file；When current pipelined data with
When default pipelined data is consistent, credentials file passes through abnormality detection.
Above-mentioned abnormality detection module, server will pass through the corresponding current flowing water number of the Credential data of preliminary abnormality detection
According to and default pipelined data be compared, judge whether current pipelined data consistent with default pipelined data, when there is inconsistency,
It indicates exception occur, when consistent, indicates that credentials file passes through abnormality detection.By to current pipelined data and default flowing water number
It according to being compared, can determine whether credentials file exception occurs, when occurring abnormal, the abnormal of appearance can be carried out in time in time
Positioning, and respective handling is carried out, reduce the abnormal rate for being sent to the credentials file of terminal.
In one embodiment, a kind of financial accreditation device is provided, further includes Credential data generation module, is used for:
A plurality of transaction journal data are received, and is obtained from transaction journal data and repeats pipelined data；From repetitive stream water number
According to the representative pipelined data of middle extraction, and delete extra repetition pipelined data；Credential data is generated according to representative pipelined data.
Above-mentioned Credential data generation module provides the step of generating corresponding Credential data according to pipelined data, by right
The a plurality of pipelined data that repeats is handled, and is avoided server from reprocessing identical pipelined data, is generated duplicate voucher
Data, improve the formation efficiency of Credential data, and then improve work efficiency.
Specific about financial accreditation device limits the restriction that may refer to above for financial accreditation method, herein not
It repeats again.Modules in above-mentioned finance accreditation device can be realized fully or partially through software, hardware and combinations thereof.On
Stating each module can be embedded in the form of hardware or independently of in the processor in computer equipment, can also store in a software form
In memory in computer equipment, the corresponding operation of the above modules is executed in order to which processor calls.
In one embodiment, a kind of computer equipment is provided, which can be server, internal junction
Composition can be as shown in Figure 5.The computer equipment include by system bus connect processor, memory, network interface and
Database.Wherein, the processor of the computer equipment is for providing calculating and control ability.The memory packet of the computer equipment
Include non-volatile memory medium, built-in storage.The non-volatile memory medium is stored with operating system, computer program and data
Library.The built-in storage provides environment for the operation of operating system and computer program in non-volatile memory medium.The calculating
The database of machine equipment is for storing financial data.The network interface of the computer equipment is used to pass through network with external terminal
Connection communication.To realize a kind of financial accreditation method when the computer program is executed by processor.
It will be understood by those skilled in the art that structure shown in Fig. 5, only part relevant to application scheme is tied
The block diagram of structure does not constitute the restriction for the computer equipment being applied thereon to application scheme, specific computer equipment
It may include perhaps combining certain components or with different component layouts than more or fewer components as shown in the figure.
In one embodiment, a kind of computer equipment, including memory and processor are provided, which is stored with
Computer program, the processor perform the steps of when executing computer program
It receives the voucher that terminal is sent and generates request, and the corresponding financial affair work type of request is generated according to voucher；
Credential data is obtained from service database according to financial affair work type；
Credential data is transmitted in voucher pond, and credentials file is generated according to Credential data；
Credentials file is carried out abnormality detection；
When passing through abnormality detection, credentials file is sent to terminal.
In one embodiment, it is also performed the steps of when processor executes computer program
Credential data is classified according to financial affair work type；
Corresponding storage folder is created in service database according to financial affair work type；
According to the corresponding relationship between preset financial affair work type and storage folder, Credential data is stored in corresponding
In storage folder.
In one embodiment, it is also performed the steps of when processor executes computer program
Credential data and the corresponding default Credential data of financial affair work type are compared；
When Credential data is consistent with default Credential data, Credential data is by initially verifying；
The corresponding attribute information of Credential data by initially verifying is obtained, by the attribute information of Credential data and default category
Property rule is compared；
When the attribute information of Credential data and consistent preset attribute rule, Credential data passes through completeness check；
The Credential data by completeness check is obtained, and voucher text is generated according to the Credential data by completeness check
Part.
In one embodiment, it is also performed the steps of when processor executes computer program
Extract the corresponding attribute information of credentials file；
According to the corresponding relationship between preset financial affair work type and voucher rule, obtain corresponding with financial affair work type
Voucher rule；
Preliminary abnormality detection is carried out to attribute information according to voucher rule；
When attribute information and consistent voucher rule, credentials file passes through preliminary abnormality detection.
In one embodiment, it is also performed the steps of when processor executes computer program
Obtain the corresponding current pipelined data of credentials file by preliminary abnormality detection；
According to the corresponding relationship between preset credentials file and default pipelined data, obtain corresponding with credentials file pre-
If pipelined data；
When current pipelined data is consistent with default pipelined data, credentials file passes through abnormality detection.
In one embodiment, it is also performed the steps of when processor executes computer program
A plurality of transaction journal data are received, and is obtained from transaction journal data and repeats pipelined data；
Representative pipelined data is extracted from repetition pipelined data, and deletes extra repetition pipelined data；
Credential data is generated according to representative pipelined data.
In one embodiment, a kind of computer readable storage medium is provided, computer program is stored thereon with, is calculated
Machine program performs the steps of when being executed by processor
It receives the voucher that terminal is sent and generates request, and the corresponding financial affair work type of request is generated according to voucher；
Credential data is obtained from service database according to financial affair work type；
Credential data is transmitted in voucher pond, and credentials file is generated according to Credential data；
Credentials file is carried out abnormality detection；
When passing through abnormality detection, credentials file is sent to terminal.
In one embodiment, it is also performed the steps of when computer program is executed by processor
Credential data is classified according to financial affair work type；
Corresponding storage folder is created in service database according to financial affair work type；
According to the corresponding relationship between preset financial affair work type and storage folder, Credential data is stored in corresponding
In storage folder.
In one embodiment, it is also performed the steps of when computer program is executed by processor
Credential data and the corresponding default Credential data of financial affair work type are compared；
When Credential data is consistent with default Credential data, Credential data is by initially verifying；
The corresponding attribute information of Credential data by initially verifying is obtained, by the attribute information of Credential data and default category
Property rule is compared；
When the attribute information of Credential data and consistent preset attribute rule, Credential data passes through completeness check；
The Credential data by completeness check is obtained, and voucher text is generated according to the Credential data by completeness check
Part.
In one embodiment, it is also performed the steps of when computer program is executed by processor
Extract the corresponding attribute information of credentials file；
According to the corresponding relationship between preset financial affair work type and voucher rule, obtain corresponding with financial affair work type
Voucher rule；
Preliminary abnormality detection is carried out to attribute information according to voucher rule；
When attribute information and consistent voucher rule, credentials file passes through preliminary abnormality detection.
In one embodiment, it is also performed the steps of when computer program is executed by processor
Obtain the corresponding current pipelined data of credentials file by preliminary abnormality detection；
According to the corresponding relationship between preset credentials file and default pipelined data, obtain corresponding with credentials file pre-
If pipelined data；
When current pipelined data is consistent with default pipelined data, credentials file passes through abnormality detection.
In one embodiment, it is also performed the steps of when computer program is executed by processor
A plurality of transaction journal data are received, and is obtained from transaction journal data and repeats pipelined data；
Representative pipelined data is extracted from repetition pipelined data, and deletes extra repetition pipelined data；
Credential data is generated according to representative pipelined data.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can be with
Instruct relevant hardware to complete by computer program, computer program to can be stored in a non-volatile computer readable
It takes in storage medium, the computer program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein, this Shen
Please provided by any reference used in each embodiment to memory, storage, database or other media, may each comprise
Non-volatile and/or volatile memory.Nonvolatile memory may include read-only memory (ROM), programming ROM
(PROM), electrically programmable ROM (EPROM), electrically erasable ROM (EEPROM) or flash memory.Volatile memory may include
Random access memory (RAM) or external cache.By way of illustration and not limitation, RAM is available in many forms,
Such as static state RAM (SRAM), dynamic ram (DRAM), synchronous dram (SDRAM), double data rate sdram (DDRSDRAM), enhancing
Type SDRAM (ESDRAM), synchronization link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM
(RDRAM), direct memory bus dynamic ram (DRDRAM) and memory bus dynamic ram (RDRAM) etc..
Each technical characteristic of above embodiments can be combined arbitrarily, for simplicity of description, not to above-described embodiment
In each technical characteristic it is all possible combination be all described, as long as however, the combination of these technical characteristics be not present lance
Shield all should be considered as described in this specification.
Above embodiments only express the several embodiments of the application, and the description thereof is more specific and detailed, but can not
Therefore it is construed as limiting the scope of the patent.It should be pointed out that for those of ordinary skill in the art,
Under the premise of not departing from the application design, various modifications and improvements can be made, these belong to the protection scope of the application.
Therefore, the scope of protection shall be subject to the appended claims for the application patent.
Claims (10)
1. a kind of finance accreditation method, which comprises
It receives the voucher that terminal is sent and generates request, and the corresponding financial affair work type of request is generated according to the voucher；
Credential data is obtained from service database according to the financial affair work type；
The Credential data is transmitted in voucher pond, and credentials file is generated according to the Credential data；
The credentials file is carried out abnormality detection；
When through the abnormality detection, the credentials file is sent to terminal.
2. the method according to claim 1, wherein the method also includes:
Credential data is classified according to financial affair work type；
Corresponding storage folder is created in service database according to the financial affair work type；
According to the corresponding relationship between preset financial affair work type and storage folder, the Credential data is stored in corresponding
In storage folder.
3. the method according to claim 1, wherein described be transmitted to the Credential data in voucher pond, and
Credentials file is generated according to the Credential data, comprising:
The Credential data and the corresponding default Credential data of the financial affair work type are compared；
When the Credential data is consistent with the default Credential data, the Credential data is by initially verifying；
It obtains through the corresponding attribute information of Credential data initially verified, by the attribute information of the Credential data and in advance
If attribution rule is compared；
When the attribute information of the Credential data and consistent preset attribute rule, the Credential data passes through integrality school
It tests；
Obtain through the Credential data of the completeness check, and according to the Credential data by the completeness check generate with
Demonstrate,prove file.
4. according to claim 1 to method described in 3 any one, which is characterized in that described different to credentials file progress
Often detection, comprising:
Extract the corresponding attribute information of the credentials file；
According to the corresponding relationship between preset financial affair work type and voucher rule, obtain corresponding with the financial affair work type
Voucher rule；
Preliminary abnormality detection is carried out to the attribute information according to the voucher rule；
When the attribute information and consistent voucher rule, the credentials file passes through the preliminary abnormality detection.
5. according to the method described in claim 4, it is characterized in that, the method also includes:
Obtain the corresponding current pipelined data of the credentials file by preliminary abnormality detection；
According to the corresponding relationship between preset credentials file and default pipelined data, obtain corresponding with the credentials file pre-
If pipelined data；
When the current pipelined data is consistent with the default pipelined data, the credentials file passes through abnormality detection.
6. according to claim 1 to method described in 3 any one, which is characterized in that the method also includes:
A plurality of transaction journal data are received, and is obtained from the transaction journal data and repeats pipelined data；
It repeats to extract representative pipelined data in pipelined data from described, and deletes extra repetition pipelined data；
Credential data is generated according to the representative pipelined data.
7. a kind of finance accreditation device, which is characterized in that described device includes:
Receiving module, the voucher for receiving terminal transmission generate request, and corresponding according to voucher generation request
Financial affair work type；
Credential data obtains module, for obtaining Credential data from service database according to the financial affair work type；
Credentials file generation module is generated for the Credential data to be transmitted in voucher pond, and according to the Credential data
Credentials file；
Abnormality detection module, for being carried out abnormality detection to the credentials file；
Sending module, for when through the abnormality detection, the credentials file to be sent to terminal.
8. device according to claim 7, which is characterized in that further include Credential data generation module, be used for: by voucher number
Classify according to according to financial affair work type；Corresponding storage text is created in service database according to the financial affair work type
Part folder；According to the corresponding relationship between preset financial affair work type and storage folder, the Credential data is stored in and is corresponded to
Storage folder in.
9. a kind of computer equipment, including memory and processor, the memory are stored with computer program, feature exists
In the step of processor realizes any one of claims 1 to 6 the method when executing the computer program.
10. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer program
The step of method described in any one of claims 1 to 6 is realized when being executed by processor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811118142.2A CN109460995B (en) | 2018-09-26 | 2018-09-26 | Financial certification method, device, computer equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811118142.2A CN109460995B (en) | 2018-09-26 | 2018-09-26 | Financial certification method, device, computer equipment and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109460995A true CN109460995A (en) | 2019-03-12 |
| CN109460995B CN109460995B (en) | 2024-02-06 |
Family
ID=65606967
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811118142.2A Active CN109460995B (en) | 2018-09-26 | 2018-09-26 | Financial certification method, device, computer equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109460995B (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110009471A (en) * | 2019-04-03 | 2019-07-12 | 平安信托有限责任公司 | Financial affairs receipt generation method, device, computer equipment and storage medium |
| CN111199147A (en) * | 2019-12-30 | 2020-05-26 | 航天信息股份有限公司 | Method and system for generating composite electronic certificate |
| CN112199441A (en) * | 2020-09-28 | 2021-01-08 | 中国平安人寿保险股份有限公司 | Data synchronization processing method, device, equipment and medium based on big data platform |
| CN113435990A (en) * | 2021-06-28 | 2021-09-24 | 平安科技（深圳）有限公司 | Certificate generation method and device based on rule engine and computer equipment |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103049563A (en) * | 2012-12-31 | 2013-04-17 | 深圳中兴网信科技有限公司 | Server, accounting document generating system and accounting document generating method |
| CN107403329A (en) * | 2016-05-18 | 2017-11-28 | 苏宁云商集团股份有限公司 | A kind of business voucher collocation method and device |
| CN107657516A (en) * | 2016-07-24 | 2018-02-02 | 平安科技（深圳）有限公司 | Generate the method and financial server of voucher |
| CN107679146A (en) * | 2017-09-25 | 2018-02-09 | 南方电网科学研究院有限责任公司 | Power grid data quality verification method and system |
| CN107784579A (en) * | 2017-08-30 | 2018-03-09 | 平安科技（深圳）有限公司 | Accreditation method, apparatus, storage medium and computer equipment |
| CN107918910A (en) * | 2017-09-28 | 2018-04-17 | 平安普惠企业管理有限公司 | Financial affairs receipt generation method, device, equipment and computer-readable recording medium |
-
2018
- 2018-09-26 CN CN201811118142.2A patent/CN109460995B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103049563A (en) * | 2012-12-31 | 2013-04-17 | 深圳中兴网信科技有限公司 | Server, accounting document generating system and accounting document generating method |
| CN107403329A (en) * | 2016-05-18 | 2017-11-28 | 苏宁云商集团股份有限公司 | A kind of business voucher collocation method and device |
| CN107657516A (en) * | 2016-07-24 | 2018-02-02 | 平安科技（深圳）有限公司 | Generate the method and financial server of voucher |
| CN107784579A (en) * | 2017-08-30 | 2018-03-09 | 平安科技（深圳）有限公司 | Accreditation method, apparatus, storage medium and computer equipment |
| CN107679146A (en) * | 2017-09-25 | 2018-02-09 | 南方电网科学研究院有限责任公司 | Power grid data quality verification method and system |
| CN107918910A (en) * | 2017-09-28 | 2018-04-17 | 平安普惠企业管理有限公司 | Financial affairs receipt generation method, device, equipment and computer-readable recording medium |
Non-Patent Citations (1)
| Title |
|---|
| 王玉宝: ""记帐凭证的自动校验"" * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110009471A (en) * | 2019-04-03 | 2019-07-12 | 平安信托有限责任公司 | Financial affairs receipt generation method, device, computer equipment and storage medium |
| CN111199147A (en) * | 2019-12-30 | 2020-05-26 | 航天信息股份有限公司 | Method and system for generating composite electronic certificate |
| CN112199441A (en) * | 2020-09-28 | 2021-01-08 | 中国平安人寿保险股份有限公司 | Data synchronization processing method, device, equipment and medium based on big data platform |
| CN112199441B (en) * | 2020-09-28 | 2023-11-24 | 中国平安人寿保险股份有限公司 | Data synchronous processing method, device, equipment and medium based on big data platform |
| CN113435990A (en) * | 2021-06-28 | 2021-09-24 | 平安科技（深圳）有限公司 | Certificate generation method and device based on rule engine and computer equipment |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109460995B (en) | 2024-02-06 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109460995A (en) | Financial accreditation method, apparatus, computer equipment and storage medium | |
| CN111709718A (en) | Intelligent warranty asset service platform, method and storage medium based on artificial intelligence | |
| CN111125773B (en) | Method, device, equipment and medium for processing customs declaration information based on block chain | |
| US20210065304A1 (en) | Contract automation with blockchain based interaction and recording | |
| CN111241161A (en) | Invoice information mining method and device, computer equipment and storage medium | |
| CN109544318A (en) | Generation method, device, computer equipment and the storage medium of air control report | |
| CN110634223A (en) | Bill verification method and device | |
| CN106815725A (en) | A kind of transaction verification method and device | |
| CN115409590A (en) | Unified account checking method, device, equipment and storage medium | |
| CN110222323A (en) | A kind of voucher generation method, device, readable storage medium storing program for executing and terminal device | |
| CN111428633A (en) | Voucher image processing method, device, equipment and medium | |
| CN113688418B (en) | Engineering order settlement method and system based on blockchain data storage | |
| CN116029843A (en) | Financial reimbursement method and device and electronic equipment | |
| CN113837584A (en) | Service processing system and abnormal data processing method based on service processing system | |
| CN112651716A (en) | Data processing method, device and storage medium | |
| CN110188033B (en) | Data detection device, method, computer device, and computer-readable storage medium | |
| CN111242773A (en) | Virtual resource application docking method and device, computer equipment and storage medium | |
| CN111177099A (en) | Data processing method and device of business system, electronic equipment and storage medium | |
| KR102351300B1 (en) | Method and system for providing public institution certification platform | |
| Liu et al. | A formal approach to testing programs in practice | |
| AU2019404304B2 (en) | Gain and loss computation for cryptocurrency transactions | |
| CN113537964A (en) | Application form processing method, device, storage medium and device | |
| CN112231465B (en) | Resource separation method and device for business data, computer equipment and storage medium | |
| CN117196862A (en) | Health insurance system based on black and white list verification | |
| CN112967049A (en) | Method and device for issuing receivable accounts through block chain |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |