CN109634950A - Service data management method, device, equipment and computer readable storage medium - Google Patents
Service data management method, device, equipment and computer readable storage medium Download PDFInfo
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- 238000013523 data management Methods 0.000 title claims abstract description 59
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- 238000007726 management method Methods 0.000 abstract description 15
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/50—Monitoring users, programs or devices to maintain the integrity of platforms, e.g. of processors, firmware or operating systems
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- G06F21/56—Computer malware detection or handling, e.g. anti-virus arrangements
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- G—PHYSICS
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- 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
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- G06Q40/04—Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
Abstract
The present invention discloses a kind of service data management method, device, equipment and computer readable storage medium, the described method includes: when receiving business datum, each business datum is scanned, and each business datum is based on preset data type after the completion of scanning and is split, generate associated services tables of data；When detecting more new command, more new identifier entrained in the more new command is read, and the business subdata to be updated in each associated services tables of data is determined according to the more new identifier, the business subdata to be updated is updated；When detection reaches preset time, in each associated services tables of data repayment amount and amount owed be based on preset data subtype and count, and all kinds of repayment amounts and the amount owed are transferred in default template, generate data sheet.This programme is to Service Data Management, it is ensured that the safety of business datum, and improve the automatic management degree of business datum.
Description
Technical field
The invention mainly relates to financial technology fields, specifically, being related to a kind of service data management method, device, setting
Standby and computer readable storage medium.
Background technique
With the development of technology, during operation, involved assets packet is more and more, in assets packet for financial institution
Including a plurality of business datum, the debt information of the corresponding debt side of every business datum；Financial institution will be from the third-party institution
The assets packet obtained, is managed according to the system that the form of business datum is transferred to financial institution.Financial institution at present
It is not perfect for the management of business datum, it may will take viruliferous business datum and be introduced into financial institution, and cause financial machine
The risk of structure；It needs to rely on simultaneously and operation update manually is carried out to business datum, generate data sheet, the degree of automation of management
It is low, it increases human cost and operating efficiency is low.
Summary of the invention
The main object of the present invention is to provide a kind of service data management method, device, equipment and computer-readable storage
Medium, it is intended to solve not perfect to the management of business datum in the prior art, easily cause financial institution's risk, and manage from
The low problem of dynamicization degree.
To achieve the above object, the present invention provides a kind of service data management method, is applied to Service Data Management system,
The Service Data Management system includes trading channel subsystem, calculates subsystem and asset management subsystem, the business number
According to management method the following steps are included:
When receiving business datum, each business datum is scanned, and by each industry after the completion of scanning
Business data are based on preset data type and are split, and generate associated services tables of data；
When detecting more new command, read more new identifier entrained in the more new command, and according to it is described more
New identifier determines the business subdata to be updated in each associated services tables of data, to the business subdata to be updated into
Row updates；
When detection reach preset time when, in each associated services tables of data repayment amount and amount owed be based on
Preset data subtype is counted, and all kinds of repayment amounts and the amount owed are transferred in default template, raw
At data sheet.
Preferably, the more new identifier according to determines of the business to be updated in each associated services tables of data
Data, the step of being updated to the business subdata to be updated include:
The task identifier of each business subdata in the more new identifier and each associated services tables of data is compared,
Determining in each task identifier whether there is and the consistent target service identifier of the more new identifier；
It, will be with the target service identifier if it exists with the consistent target service identifier of the more new identifier
Business subdata is determined as business subdata to be updated, and detects whether to generate and the also amount of money for updating identifier match
According to；
If generating and the refund data for updating identifier match, reading update corresponding with the more new identifier
Repayment amount in the amount of money and the refund data, and according to the update amount of money and the repayment amount to described to more
New business subdata is updated.
Preferably, described that the business subdata to be updated is carried out more according to the update amount of money and the repayment amount
New step includes:
The update amount of money and the repayment amount are compared, judge the update amount of money and the repayment amount whether one
It causes；
If the update amount of money is consistent with the repayment amount, according to the update amount of money to business to be updated
Data are updated, and the business subdata to be updated is updated to target service subdata.
Preferably, the repayment amount and amount owed in each associated services tables of data is based on preset data
The step of type is counted include:
According to the table identifier of each associated services tables of data, gold of refunding is determined from each associated services tables of data
Volume tables of data and amount owed tables of data；
According to the preset data subtype, respectively to the reimbursement business subdata in the repayment amount tables of data, with
And debt business subdata is classified in the amount owed tables of data；
The amount owed of repayment amount and the debt business subdata to all types of reimbursement business subdatas
It is counted, generates the refund total amount and debt total amount in each preset data subtype respectively.
Preferably, described according to the preset data subtype, respectively to the refund industry in the repayment amount tables of data
Debt business subdata the step of being classified, includes: in business subdata and the amount owed tables of data
Read each reimbursement business subdata the first classification number and second point of each debt business subdata
Class-mark；
Each first classification number, second classification number are compared with the preset data subtype respectively, generated each
First comparing result and each second comparing result；
According to each first comparing result and each second comparing result respectively to the reimbursement business subdata and
The debt business subdata is classified.
Preferably, the refund total amount generated in each preset data subtype respectively and debt total amount
Include: after step
The identical refund total amount of type and the debt total amount are done into ratio, determine each preset data
The refund rate of type；
The repayment amount of all types of reimbursement business subdatas is compared, determines all types of reimbursement business
Repayment amount maximum value and repayment amount minimum value in data；
The amount owed of all types of debt business subdatas is compared, determines all types of debt business
Amount owed maximum value and amount owed minimum value in data.
Preferably, described that all kinds of repayment amounts and the amount owed are transferred in default template, generate data
The step of report includes:
By all kinds of refund rates, all kinds of refund total amounts, all kinds of repayment amount maximum values and all kinds of described
Repayment amount minimum value is set as new repayment amount, forms all kinds of repayment amount data groups；
All kinds of debt total amounts, all kinds of amount owed maximum values and all kinds of amount owed minimum values are set
For new amount owed, all kinds of amount owed data groups are formed；
According to the corresponding relationship of data point of addition in the preset data subtype and the default template, by all kinds of institutes
Repayment amount data group and all kinds of amount owed burst data transmissions are stated into corresponding each data point of addition, is replaced
Design variables in the data point of addition generate data sheet.
In addition, to achieve the above object, the present invention also proposes a kind of Service Data Management device, the Service Data Management
Device includes:
Module is split, is completed for being scanned to each business datum when receiving business datum, and in scanning
Each business datum is based on preset data type afterwards to split, generates associated services tables of data；
Update module, for when detecting more new command, reading more new identifier entrained in the more new command,
And the business subdata to be updated in each associated services tables of data is determined according to the more new identifier, to described to be updated
Business subdata is updated；
Generation module is used for when detection reaches preset time, to the repayment amount in each associated services tables of data
Preset data subtype is based on amount owed to be counted, and all kinds of repayment amounts and the amount owed are transferred to
In default template, data sheet is generated.
In addition, to achieve the above object, the present invention also proposes a kind of Service Data Management equipment, the Service Data Management
Equipment includes: memory, processor, communication bus and the service data manager being stored on the memory；
The communication bus is for realizing the connection communication between processor and memory；
The processor is for executing the service data manager, to perform the steps of
When receiving business datum, each business datum is scanned, and by each industry after the completion of scanning
Business data are based on preset data type and are split, and generate associated services tables of data；
When detecting more new command, read more new identifier entrained in the more new command, and according to it is described more
New identifier determines the business subdata to be updated in each associated services tables of data, to the business subdata to be updated into
Row updates；
When detection reach preset time when, in each associated services tables of data repayment amount and amount owed be based on
Preset data subtype is counted, and all kinds of repayment amounts and the amount owed are transferred in default template, raw
At data sheet.
In addition, to achieve the above object, it is described computer-readable the present invention also provides a kind of computer readable storage medium
Storage medium be stored with one perhaps more than one program the one or more programs can by one or one with
On processor execute to be used for:
When receiving business datum, each business datum is scanned, and by each industry after the completion of scanning
Business data are based on preset data type and are split, and generate associated services tables of data；
When detecting more new command, read more new identifier entrained in the more new command, and according to it is described more
New identifier determines the business subdata to be updated in each associated services tables of data, to the business subdata to be updated into
Row updates；
When detection reach preset time when, in each associated services tables of data repayment amount and amount owed be based on
Preset data subtype is counted, and all kinds of repayment amounts and the amount owed are transferred in default template, raw
At data sheet.
The service data management method of the present embodiment is scanned each business datum when receiving business datum, and
When scanning is safe, every business datum is subjected to fractionation and forms associated services tables of data, to ensure every business datum
Safety；And when detecting more new command, then according to the more new identifier in more new command in associated services tables of data
Business subdata to be updated is updated；It is previously provided with default template simultaneously, when reaching preset time, automatically grabs each pass
Join the repayment amount and amount owed in business datum table, statistic of classification is carried out based on preset data subtype；And then it will statistics
All types of repayment amounts and amount owed be transferred in default template, generate data sheet；It avoids needing more with artificial lookup
The mode of new or statistic of classification business datum is updated or generates data sheet, improves the automation pipe of business datum
Reason degree.
Detailed description of the invention
Fig. 1 is the flow diagram of service data management method first embodiment of the invention；
Fig. 2 is the functional block diagram of Service Data Management device first embodiment of the invention；
Fig. 3 is the device structure schematic diagram for the hardware running environment that present invention method is related to.
The embodiments will be further described with reference to the accompanying drawings for the realization, the function and the advantages of the object of the present invention.
Specific embodiment
It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not intended to limit the present invention.
The present invention provides a kind of service data management method.
Fig. 1 is please referred to, Fig. 1 is the flow diagram of service data management method first embodiment of the present invention.In this implementation
In example, the service data management method includes:
Step S10 is scanned each business datum when receiving business datum, and will after the completion of scanning
Each business datum is based on preset data type and is split, and generates associated services tables of data；
Service data management method of the invention is applied to the server of financial system in financial institution, suitable for passing through clothes
Business device is managed the business datum in assets packet；Wherein assets packet is bought by financial institution to the third-party institution
Debt information, each debt information is present in assets packet in the form of EXCEL file, a line in EXCEL file corresponding one
Debt information；Debt side's title, ID card No., telephone number, debt type, debt are included at least in every debt information
The data such as account, amount owed, debt duration characterize every terms of information possessed by every debt.Using a debt information as
One business datum, includes various multinomial business datums in assets packet, each business datum is corresponding with a debt.
Financial system is connected with information and shows recording device, shows and is provided on the display interface of recording device for business datum importing
Virtual key.When having to the importing demand of business datum in assets packet, the virtual key is triggered, by the touching of the virtual key
Hair operation is requested as the importing of business datum.It is when receiving importing request, then targeted each to being requested with the importing
Business datum is verified, to ensure request safety and the information integrity of every business datum of importing, and
Every business datum imported into financial system and locally saves after verifying successfully.Because business datum in the EXCEL of assets packet with row
Form exist, when being imported to business datum, with the behavior unit in EXCEL file, in each Read EXCEL Document
A line content imported, until all row contents in EXCEL file import completion.For every business to importing
Data distinguish, and distribute the number as identifier to every business datum, form the otherness between every business datum,
Such as first item business datum number 0001, Section 2 business datum number 0002 etc..
Understandably, because of its debt information substantially from the assets packet that the third-party institution is bought of business datum, money
Producing packet may be attacked during being transferred to financial institution by malicious virus, and business datum therein is made to carry virus
Data；If this is carried server of the business datum of viral data from financial system local transmission to financial system to carry out
Management, may threaten to the Various types of data in financial institution.To by business datum from financial system local transmission
To financial system server, when server receives business datum, first each business datum is scanned, calls default virus
Library scans whether each business datum carries virus；It scans and completes in business datum, and determine when not carrying virus, then it will be each
Business datum is stored into the storage unit of server；And when scanning any one business datum and carrying virus, then not
The items business datum is stored, to prevent from influencing other data in financial institution.
In addition, because each business datum includes such as debt side's title, ID card No., telephone number, debt type, owes
A plurality of types of debt side's information such as money account, amount owed, using the type of various debt side's information as preset data class
Type；After scanning determines each business datum safety, debt side's information to this various preset data type is needed to tear open
Point, i.e., each business datum is split according to preset data type；By the identical debt side's information aggregate of preset data type
To together, generating each business subdata, and the storage of each business subdata is formed into business datum into new EXCEL table
Table.Such as debt side's identification card number in every business datum is split, and brings together the industry of formed each identity information
Business tables of data.Contain the same category information of each debt side in each business datum table through splitting and gathering and formed, one
The corresponding a kind of debt side information of a business datum table, i.e., a kind of business subdata.In order in business datum table to each debt
Square information distinguishes between items business subdata, be that the business subdata addition of each fractionation characterizes the industry in its source
The number for data of being engaged in；ID card No. in 0001 business datum of number such as above-mentioned for source, for ID card No. addition
Number 0001 forms difference to characterize other ID card No. in its source and business datum table.
Each business datum table is corresponding with various types of business subdatas, and has between various types of business subdatas
There is the incidence relation of debt side, such as belongs to the business subdata of the identity type of same debt side and the subdata of debt type
Deng；So that similarly with the incidence relation of debt side between each business datum table, and using this each business datum table as tool
Relevant each associated services tables of data.Furthermore financial institution can also preset and be communicatively coupled with financial system
The asset management system, the operation settings such as the importing, scanning, fractionation of business datum are carried out by accounting system, in order to industry
Business data carry out a point function management.And the asset management system business datum is split to be formed each associated services tables of data it
Afterwards, which is transferred to the server of financial system；By the server of financial system to each associated services
Business subdata in tables of data carries out management relevant to finance.Wherein because of business datum, it is substantially debt information, debt
Side needs to will do it its debt information corresponding repayment operation, and management relevant to finance is made to include but is not limited to deficient
Matching, update etc. when money is repaid.
Step S20 reads more new identifier entrained in the more new command, and root when detecting more new command
The business subdata to be updated in each associated services tables of data is determined according to the more new identifier, to the business to be updated
Subdata is updated；
Further, for the business datum of characterization debt information, debt side is needed in corresponding debt information
Amount owed carries out repayment operation, and repaying operation can cause the amount owed in the corresponding debt information in debt side to change,
Amount owed i.e. in associated services tables of data changes, and needs to be updated it operation.Debt side is to its amount owed
Repayment operation is carried out, the debt bank that amount owed is belonged to can generate serial number in the debt for receiving repayment, with characterization
It repays and operates targeted debt account, repayment amount and refund time etc..It is established between the debt bank and financial institution
There is communication connection, generated serial number is sent financial institution by debt bank, is further transferred to financial system by financial institution
The server of system.When server receives the serial number, show the industry for having in the associated services tables of data wherein stored
The demand that business subdata is updated, is handled the serial number as more new command.It is repaid because carrying characterization in serial number
The information of also targeted debt account, so that also carry the information in more new command, using the information as more new identifier, with
The debt account updated required for characterization.When server detects more new command, wherein entrained more new identifier is read；
Because the debt account of more new identifier characterization carries the number of the characterization debt account institute source business datum, according to the number
It can search to obtain all business subdatas split by the business datum with the number.Using all business subdatas as pass
The business subdata to be updated for needing to update in connection tables of data.Because more new identifier is related to preceding article account, debt side is to it
When amount owed is repaid, the debt account is depended on；So as to according to related between more new identifier and debt account
Relationship determines refund received by debt account, and then is carried out more by the refund to business subdata to be updated
Newly, updated amount owed is the newest amount of money of the current balance of accommodator, subsequent in the updated amount owed base
It is repaid on plinth.
Step S30, when detection reaches preset time, to the repayment amount and debt in each associated services tables of data
The amount of money is based on preset data subtype and is counted, and all kinds of repayment amounts and the amount owed are transferred to default mould
In plate, data sheet is generated.
Understandably, financial institution is during operation, has to the amount owed of its business datum and repayment amount
Demand is checked, to understand the recovering state of debt in each business datum.For the ease of checking, the present embodiment is provided at interval of pre-
If the time generates the mechanism of data sheet relevant to repayment amount and amount owed；When wherein preset time is pre-set
Between section, can be week, the moon, season etc., i.e., generate data sheet at interval of one week, one month or a season.It is each receiving
When debt side repays respective corresponding debt, the repayment amount of the repayment is stored, formation has with debt side
For the repayment amount of incidence relation according to table, which is one of each associated services tables of data.When detecting
When up to preset time, then the repayment amount and amount owed grabbed in each associated services tables of data is counted；Because accommodator's
Debt is related to multiple types, such as mortgages debt, without mortgage debt, and mortgages debt again by different due to the difference because of guaranty；
To which for the ease of checking returned money situation according to debt type, when counting to repayment amount and amount owed, foundation is owed
Money type carries out.Because being split as each business subdata, amount owed and repayment amount according to preset data type to business datum
It is split respectively as a business subdata, that is, respectively corresponds a kind of preset data type；Statistics to repayment amount and
When amount owed is counted according to debt type, using debt type as the subtype in preset data type, i.e., according to pre-
If data subtypes count repayment amount and amount owed.It is also previously provided with default template simultaneously, the default template
Visually to show template, different positions is for showing different types of data；The upper left corner in such as default template is used for
Show amount owed and corresponding repayment amount without mortgage type, and the upper right corner is used to show the debt of building property mortgage type
The amount of money and corresponding repayment amount etc..All types of repayment amounts and amount owed that statistics obtains are transferred to the default template
In, template content therein is replaced, produces data sheet through replaced default template.The data sheet is transferred to money
The display interface for producing management system is shown, in order to check the current returned money situation of various types debt, and it is current surplus
Remaining amount owed.
It should be noted that because repayment amount and amount owed count within a preset time, so that data sheet is corresponding
It is characterized in the returned money situation of various types debt in each preset time；Data sheet in other preset times is stored in server
Storage unit in, can be shown by way of request call, to be carried out pair to the data sheet in multiple preset times
Than display, convenient for checking the returned money situation of various types debt in each preset time.
The service data management method of the present embodiment is scanned each business datum when receiving business datum, and
When scanning is safe, every business datum is subjected to fractionation and forms associated services tables of data, to ensure every business datum
Safety；And when detecting more new command, then according to the more new identifier in more new command in associated services tables of data
Business subdata to be updated is updated；It is previously provided with default template simultaneously, when reaching preset time, automatically grabs each pass
Join the repayment amount and amount owed in business datum table, statistic of classification is carried out based on preset data subtype；And then it will statistics
All types of repayment amounts and amount owed be transferred in default template, generate data sheet；It avoids needing more with artificial lookup
The mode of new or statistic of classification business datum is updated or generates data sheet, improves the automation pipe of business datum
Reason degree.
Further, in another embodiment of service data management method of the present invention, the more new identifier according to
It determines the business subdata to be updated in each associated services tables of data, the business subdata to be updated is updated
Step includes:
Step S21, by the business mark of each business subdata in the more new identifier and each associated services tables of data
Know symbol comparison, determining in each task identifier whether there is and the consistent target service identifier of the more new identifier；
Further, because of the debt account of update required for more new identifier characterization, and by each characterization debt information
When business datum splits to form associated services tables of data, the debt account in every business datum will necessarily be split to be formed it is a certain
Associated services tables of data；In order to determine that the required debt account updated whether there is in associated services tables of data, will update
The task identifier comparison of each business subdata in identifier and each associated services tables of data.The task identifier is that characterization is each
The identifier of business subdata uniqueness, type are different according to the difference of associated services tables of data；It such as include each business number
According to the associated services tables of data of identity information and the associated services tables of data of the debt information comprising each business datum between industry
The otherness of business identifier.Because including multiple business subdatas in same associated services tables of data, so that same type business mark
Know and accords with its set for being substantially task identifier；It include multiple task identifiers, a task identifier and an industry in set
Subdata of being engaged in is corresponding, characterizes the uniqueness of business subdata；If task identifier F1-1, F1-2 are formed by set, wherein F1-
F1 in 1 and F1-2 characterizes the task identifier, and to be formed by set corresponding with a certain associated services tables of data, and therein -1
It is corresponding with the different business subdata in the associated services tables of data with -2.
It, can be first when comparing the task identifier of each business subdata in more new identifier and associated services tables of data
By table identifier entrained by each associated services table, determine in each associated services tables of data for storing the association of debt account
Business datum table；In turn by the industry of each business subdata in the associated services tables of data of more new identifier and the storage debt account
It is engaged in identifier comparison, the i.e. associated services in associated services tables of data whether there is with the debt account updated required for judging
It whether there is and the consistent target service identifier of more new identifier in the task identifier of each business subdata of tables of data.Its
Middle table identifier is the identifier preset for characterizing institute's storing data type in each associated services tables of data, such as above-mentioned
In business datum identifier F1-1 and F1-2, F1 is substantially table identifier；Table identifier form each associated services tables of data it
Between difference, each associated services tables of data can be distinguished, such as store the associated services tables of data and storage of each identity information
There is different table identifiers between the associated services tables of data of each debt information.
Step S22 will have the target service if it exists with the consistent target service identifier of the more new identifier
The business subdata of identifier is determined as business subdata to be updated, and detects whether to generate and the update identifier match
Refund data；
Further, when determining to exist in task identifier by contrast and the consistent target service of more new identifier identifies
Symbol then illustrates that the debt account updated is needed to be present in associated services tables of data, and the debt account of required update is to close
Join the business subdata in business datum table with target service identifier, by the business subnumber with target service identifier
According to business subdata to be updated is determined as, in order to be updated operation.In addition, financial institution is provided with monitoring equipment to refund
System, monitoring debt side refund the Capital Flow situation of selected refund account, and the refund account and fund that monitoring is obtained
Flowing volume is as refund data.In order to which the update to debt account is more accurate, it is set with to the transmitted serial number of debt bank
Institute's characterization information and monitoring obtain refund data and carry out matched mechanism, i.e., to information corresponding to more new identifier and refund data
Carry out matched mechanism.Each refund data of monitoring are transferred to the server of financial system by financial institution, to be updated determining
After business subdata, the refund data for generating with updating identifier match are further detected whether, wherein with more new identifier
The refund data matched, the substantially matching of more new identifier characterized debt account and the refund account in refund data.
For same debt side, debt account and refund account are substantially same account, and debt side repays debt to conduct
The account of debt account, financial institution then passes through checks and accepts as the account progress debt of refund account.It is respectively gone back when detecting
There is the matched refund account of debt account that is characterized with more new identifier in the refund account of amount of money evidence, then illustrate to generate with
The refund data of identifier match are updated, financial institution monitors the refund operation of debt side；Otherwise explanation without generate with more
The matched refund data of new identifier, financial institution do not monitor the refund operation of debt side.
Step S23, if generating and the refund data for updating identifier match, reading and the more new identifier pair
Repayment amount in the update amount of money answered and the refund data, and according to the update amount of money and the repayment amount pair
The business subdata to be updated is updated.
Further, when financial institution generate have with update identifier match refund data, then read more new logo
Accord with the corresponding update amount of money, i.e. user's repayment amount for being characterized of serial number；The repayment amount in refund data is read simultaneously, i.e.,
The volume of aggregate financial flow monitored；And business subdata to be updated is updated by the update amount of money of the reading and repayment amount.
Specifically, include: according to updating the step of amount of money and repayment amount are updated business subdata to be updated
The update amount of money and the repayment amount are compared, judge the update amount of money and the refund by step S231
Whether the amount of money is consistent；
Understandably, the debt side that more new identifier is characterized in the repayment operation and refund data of debt to being monitored
The refund operation arrived is substantially same debt side and operates to the refund of same debt information, in order to ensure to business to be updated
The accuracy that subdata updates, will update the amount of money and repayment amount compares, and judge the consistency of the two.If the two is consistent, say
The bright received refund of reality is consistent with the repayment amount that monitoring obtains, and according to the update amount of money or can refund to business to be updated
Subdata is updated；Otherwise the repayment amount for illustrating that practical received refund and monitoring obtain is inconsistent, according to update
The amount of money or repayment amount update business subdata to be updated, will lead to the situation for updating inaccuracy.
Step S232, if the update amount of money is consistent with the repayment amount, according to the update amount of money to it is described to
More new business subdata is updated, and the business subdata to be updated is updated to target service subdata.
Because business datum to be updated is to operate all business subnumbers split by the business datum of debt side to refund
According to, and carried out mainly for amount owed therein when updating；It, then can be right when judging that the update amount of money is consistent with repayment amount
Business subdata to be updated is updated, and subtracts the update amount of money, phase with possessed amount owed in business subdata to be updated
Subtract obtained result by debt side's amount of money that residue is owed after being repaid, subsequent debt side is repaid on this basis
Also.Obtained result will be subtracted each other as the new amount owed in business subdata to be updated to store, and there will be new-debt
The business subdata to be updated of the money amount of money realizes the update to business subdata to be updated, simultaneously as target service subdata
Temporal update can also be carried out to other business subdatas in business subdata to be updated, show business subnumber to be updated
According to the last renewal time.Furthermore financial institution can also preset the accounting being communicatively coupled with financial system
System is carried out the operation setting that amount owed subtracts the update amount of money, by accounting system in order to carry out a point function to business datum
It can management.Specifically, it when judging that the update amount of money is consistent with repayment amount, needs to be updated business subdata to be updated
When, the amount of money will be updated and amount owed is transferred to accounting system, by accounting system to the amount owed of business subdata to be updated
It is calculated, generates and calculate result；And server of the result back to financial system will be calculated, it is replaced by server with accounting result
The amount owed in business subdata to be updated is changed, business subdata to be updated is updated to target service subdata.It is subsequent to owe
Money people carries out repayment operation when repaying to its amount owed based on the amount owed in target service subdata.
It should be noted that because being related to the variation of every amount owed in this financial system, and change with different sides
Formula carries out；Such as different modes of transferring accounts are docked with cash, Web bank, the third-party institution to repay debt, caused by
Amount owed changes.In order to ensure the legitimacy of variation, it is provided with accreditation mechanism, wherein accreditation is setting fund voucher；And needle
To different modes of repayment, i.e. funds source mode, it is provided with different fund vouchers.Caused by detecting because of operation of refunding
When amount owed changes, judge whether the changed amount of money is reasonable, that is, the user's repayment amount received and the amount of money changed
It is whether consistent；It can determine that if consistent rationally, and then according to the mode of refund, carry out corresponding financial accreditation to fund is changed,
It is legal to characterize the fund changed.
Further, described to each associated services number in another embodiment of service data management method of the present invention
According in table repayment amount and amount owed be based on preset data subtype counted the step of include:
Step S31, according to the table identifier of each associated services tables of data, from each associated services tables of data really
Determine repayment amount tables of data and amount owed tables of data；
Understandably, when splitting to form associated services tables of data each business datum according to preset data type, business
Repayment amount and amount owed in data have different data attributes, and wherein repayment amount characterization debt side carries out deficient every time
The amount of money that money is repaid when repaying, and amount owed characterization debt side carries out the remaining gold for needing to repay after debt repayment every time
Volume, the two belong to different preset data types, are stored in different associated services tables of data.Because of each associated services tables of data
Between distinguished by table identifier, the data type so as to be characterized according to table identifier determines each associated services data
For storing the repayment amount tables of data of repayment amount in table, according to the amount owed tables of data for storing amount owed.
Step S32, according to the preset data subtype, respectively to reimbursement business in the repayment amount tables of data
Debt business subdata is classified in data and the amount owed tables of data；
It further, include multiple business subdatas in repayment amount tables of data, using the business subdata as refund industry
Business subdata；It also include multiple business subdatas in same amount owed tables of data, and using the business subdata as debt
Business subdata.Each reimbursement business subdata and debt business subdata all refer to multiple preset data subtypes, such as room
Debt and the refund of mortgage type are produced, vehicle mortgages debt and refund of type etc.；According to each preset data subtype, respectively
Classify to reimbursement business subdata and debt business subdata, in order to unite to all types of debts and refund
Meter.Specifically, according to preset data subtype, respectively to the reimbursement business subdata and debt in repayment amount tables of data
The step of debt business subdata is classified in value data table include:
Step S321, the first classification number of each reimbursement business subdata of reading and each debt business subdata
The second classification number；
The present embodiment is provided with different classification for different types of reimbursement business subdata and debt business subdata
Number, wherein the classification number of reimbursement business subdata is uniformly indicated with the first classification number, and debt business subdata uniformly uses second point
Class-mark indicates；The first classification number of each reimbursement business subdata and the second classification of each debt business subdata are read respectively
Number, to be classified respectively to reimbursement business subdata and debt business subdata according to the first classification number and the second classification number.
Step S322, by each first classification number, second classification number respectively with the preset data subtype pair
Than generating each first comparing result and each second comparing result；
Specifically, each first classification number and preset data subtype are compared, determine each first classification number with it is each
Corresponding relationship between default subtype, that is, determine the set that each preset data subtype is belonged in each first classification number,
It regard each set as the first comparing result.As reading the first classification number in include m1, m2, m3, m4, m5, wherein present count
Include n1 and n2 according to subtype, determine m1, m3 and m5 and n1 by contrast, there is corresponding relationship between m2 and m4 and n2；Then by m1,
M3 and m5 forms the set for belonging to n1, and m2 and m4 is formed to the set for belonging to n2, generates the first comparing result.Similarly
Second classification number and preset data subtype are compared, the second comparing result is generated；According to first comparing result and second
Comparing result respectively classifies to reimbursement business subdata and debt business subdata.
Step S323, according to each first comparing result and each second comparing result respectively to the reimbursement business
Subdata and the debt business subdata are classified.
Further, because each first comparing result characterization belongs to the reimbursement business subnumber of each preset data subtype
According to each second comparing result characterization belongs to the debt business subdata of each preset data subtype；So as to which phase will be belonged to
Reimbursement business subdata with the first comparing result is divided into same class, and the debt business that will belong to identical second comparing result
Subdata is divided into same class.Such as the above-mentioned set [m1, m3, m5] for belonging to n1, because having m1, m3 and the m5 first to divide
The reimbursement business subdata of class-mark belongs to identical first comparing result, and is divided into same type；And it is belonged to for above-mentioned
The set [m2, m4] of n2, because the reimbursement business subdata with the first classification number of the m2 and m4 belongs to another kind of identical first
Comparing result, and it is divided into another same type.Pass through the first classification number and each debt of each reimbursement business subdata
Corresponding relationship between the second classification number and preset data subtype of business subdata is realized and is gone back in repayment amount tables of data
The classification of debt business subdata in money business subdata and amount owed tables of data.
Step S33, repayment amount and the debt business subdata to all types of reimbursement business subdatas
Amount owed is counted, and generates refund total amount and debt total amount in each preset data subtype respectively.
Further, it is divided into and preset data subtype pair by reimbursement business subdata and debt business subdata
After each type answered, the repayment amount characterized to each type reimbursement business subdata is counted, in each present count
According to generation refund total amount in subtype；The amount owed characterized simultaneously to each type debt business subdata is united
Meter generates debt total amount in each preset data subtype.Such as it is above-mentioned be divided into it is same type of have m1, m3 and
The reimbursement business subdata of the first classification number of m5, and it is divided into another same type of going back with the first classification number of m2 and m4
Money business subdata；If the reimbursement business subdata with the first classification number of m1, m3 and m5 is respectively M1, M2 and M3, and M1, M2
It is k1, k2 and k3 with the repayment amount that M3 is characterized, then the refund total amount in the type preset data subtype is k1+k2
+k3.By refund total amount generated in each preset data subtype and debt total amount, financial institution can be reflected each
Returned money situation and remaining debt amount in debt type.
Further, described to be generated respectively each described pre- in another embodiment of service data management method of the present invention
If including: after the step of refund total amount and debt total amount in data subtypes
The identical refund total amount of type and the debt total amount are done ratio, determined each described pre- by step S34
If the refund rate of data subtypes；
Further, after generating the refund total amount and debt total amount in each preset data subtype, will have
The refund total amount and debt total amount of identical preset data subtype do ratio, determine going back in each preset data subtype
Money rate.Wherein because refund total amount and debt total amount count within a preset time, refund total amount is within a preset time
The amount of money of institute's repayment, debt total amount are the amount of money before carrying out debt repayment operation within a preset time.When such as default
Between be " moon ", and preset data subtype is that refund total amount of the reimbursement business subdata in July without mortgage debt type is
W1, debt total amount of the debt business subdata of the type in July is W2；This W2 institute after the refund in June operation for essence
Remaining debt total amount not yet carries out phase reducing with W1；Thus refund of the unsecured loan type in July in financial institution
Rate is W1/W2, is compared by the refund rate in each month, can reflect the refund quantity of all types of debts, or remaining debt
Quantity；Wherein refund rate is higher, then illustrates that refund quantity in preset time is more or remaining debt quantity is fewer.
Step S35 compares the repayment amount of all types of reimbursement business subdatas, determine it is all types of it is described also
Repayment amount maximum value and repayment amount minimum value in money business subdata；
Understandably, because reimbursement business subdatas various types of in repayment amount tables of data all refer to multinomial refund industry
Business subdata, and the different reimbursement business subdatas in same type of each reimbursement business subdata have different refund gold
Volume；The repayment amount of all types of reimbursement business subdatas is compared, determines the refund in all types of reimbursement business subdatas
Amount of money maximum value and repayment amount minimum value；With reflect the most repayment amount of all types of reimbursement business subdatas and it is least also
The money amount of money carries out tracking processing convenient for returned money of the financial institution to all types of debts.
Step S36 compares the amount owed of all types of debt business subdatas, determines all types of described deficient
Amount owed maximum value and amount owed minimum value in money business subdata.
Similarly, various types of debt business subdatas also relate to multinomial debt business in amount owed tables of data
Data, and the different debt business subdatas in same type of each debt business subdata have different amounts owed；It will
The amount owed of all types of debt business subdatas compares, and determines amount owed in all types of debt business subdatas most
Big value and amount owed minimum value；To reflect the most amount owed of all types of debt business subdatas and least debt gold
Volume carries out tracking processing convenient for remaining debt of the financial institution to all types of debts.It is owed for the ease of financial institution to all types of
The returned money of money and remaining debt checked, can be by the refund rate of determining all types of debts, refund total amount, repayment amount
Maximum value, repayment amount minimum value, debt total amount, amount owed maximum value and amount owed minimum value are transferred to default template
In shown；Specifically, the step of all kinds of repayment amounts and amount owed being transferred in default template, generating data sheet
Include:
Step S37, by all kinds of refund rates, all kinds of refund total amounts, all kinds of repayment amount maximum values and
All kinds of repayment amount minimum values are set as new repayment amount, form all kinds of repayment amount data groups；
Because the refund rate of all types of debts, refund total amount, repayment amount maximum value, repayment amount minimum value with refund
Correlation embodies debt side to the refund situation of all types of debts；So as to by all kinds of refund rates, all kinds of refund total amounts, all kinds of
Repayment amount maximum value and all kinds of repayment amount minimum values are set as new repayment amount；According to the preset data subclass belonged to
Type, i.e. debt type form each repayment amount data group.
Step S38, by all kinds of debt total amounts, all kinds of amount owed maximum values and all kinds of amounts owed
Minimum value is set as new amount owed, forms all kinds of amount owed data groups；
Similarly, because the debt total amount of all types of debts, amount owed maximum value and amount owed minimum value with owe
Money is related, embodies the remaining situation of all types of debts in financial institution；So as to by all kinds of debt total amounts, all kinds of amounts owed
Maximum value and all kinds of amount owed minimum values are set as new amount owed；According to the preset data subtype belonged to, i.e. debt
Type forms each amount owed data group.
Step S39, according to the corresponding relationship of data point of addition in the preset data subtype and the default template,
All kinds of repayment amount data groups and all kinds of amount owed burst data transmissions are added into position to corresponding each data
In setting, the design variables in the data point of addition are replaced, generate data sheet.
Further, for show be provided in the returned money situation of all types of debts and the default template of remaining debt it is more
A data point of addition has corresponding relationship, in different location between each data point of addition and preset data subtype
Show the returned money situation and residue debt of different type debt.Forming all types of repayment amount data groups and amount owed data
It, will be with each type debt pair according to the corresponding relationship of data point of addition in preset data subtype and default template after group
The repayment amount data group and amount owed burst data transmission answered are into corresponding data point of addition, to data point of addition
Design variables present in middle script are replaced.In the repayment amount data group and amount owed data group of all types debt
After the completion of transmitting and replace, that is, produce data sheet；With reflect each type debt predetermined period refund situation with
And remaining debt situation.
In addition, referring to figure 2., the present invention provides a kind of Service Data Management device, filled in Service Data Management of the present invention
It sets in first embodiment, the Service Data Management device includes:
Module 10 is split, for being scanned to each business datum, and scanning through when receiving business datum
Each business datum is based on preset data type after to split, generates associated services tables of data；
Update module 20, for when detecting more new command, reading more new logo entrained in the more new command
Symbol, and determines the business subdata to be updated in each associated services tables of data according to the more new identifier, to it is described to
More new business subdata is updated；
Generation module 30 is used for when detection reaches preset time, to the refund gold in each associated services tables of data
Volume and amount owed are based on preset data subtype and are counted, and all kinds of repayment amounts and the amount owed are transmitted
Into default template, data sheet is generated.
The Service Data Management device of the present embodiment splits module 10 to each business datum when receiving business datum
It is scanned, and when scanning is safe, every business datum is subjected to fractionation and forms associated services tables of data, to ensure items
The safety of business datum；And when detecting more new command, update module 20 is then according to the more new identifier in more new command
Business subdata to be updated in associated services tables of data is updated；It is previously provided with default template simultaneously, it is pre- reaching
If when the time, generation module 30 automatically grabs the repayment amount and amount owed in each associated services tables of data, it is based on present count
Statistic of classification is carried out according to subtype；And then all types of repayment amounts and amount owed of statistics are transferred in default template, it is raw
At data sheet；It avoids being updated or generate number in such a way that artificial lookup needs the business datum of update or statistic of classification
According to report, the automatic management degree of business datum is improved.
Further, in another embodiment of Service Data Management device of the present invention, the update module includes:
Comparison unit, for by the industry of each business subdata in the more new identifier and each associated services tables of data
It is engaged in identifier comparison, determine whether there is and the consistent target service of the more new identifier identifies in each task identifier
Symbol；
Detection unit, for that will have the mesh if it exists with the consistent target service identifier of the more new identifier
The business subdata of mark task identifier is determined as business subdata to be updated, and detects whether to generate and the more new identifier
Matched refund data；
Updating unit, if being marked with the refund data for updating identifier match, reading with the update for generating
Know the repayment amount accorded in the corresponding update amount of money and the refund data, and according to the update amount of money and the refund
The amount of money is updated the business subdata to be updated.
Further, in another embodiment of Service Data Management device of the present invention, the updating unit is also used to:
The update amount of money and the repayment amount are compared, judge the update amount of money and the repayment amount whether one
It causes；
If the update amount of money is consistent with the repayment amount, according to the update amount of money to business to be updated
Data are updated, and the business subdata to be updated is updated to target service subdata.
Further, in another embodiment of Service Data Management device of the present invention, the generation module includes:
Determination unit, for the table identifier according to each associated services tables of data, from each associated services data
Repayment amount tables of data and amount owed tables of data are determined in table；
Taxon is used for according to the preset data subtype, respectively to the refund in the repayment amount tables of data
Debt business subdata is classified in business subdata and the amount owed tables of data；
Generation unit, for the repayment amount and debt business to all types of reimbursement business subdatas
The amount owed of data is counted, and generates refund total amount in each preset data subtype respectively and debt is always golden
Volume.
Further, in another embodiment of Service Data Management device of the present invention, the taxon is also used to:
Read each reimbursement business subdata the first classification number and second point of each debt business subdata
Class-mark；
Each first classification number, second classification number are compared with the preset data subtype respectively, generated each
First comparing result and each second comparing result；
According to each first comparing result and each second comparing result respectively to the reimbursement business subdata and
The debt business subdata is classified.
Further, in another embodiment of Service Data Management device of the present invention, the determination unit is also used to:
The identical refund total amount of type and the debt total amount are done into ratio, determine each preset data
The refund rate of type；
The repayment amount of all types of reimbursement business subdatas is compared, determines all types of reimbursement business
Repayment amount maximum value and repayment amount minimum value in data；
The amount owed of all types of debt business subdatas is compared, determines all types of debt business
Amount owed maximum value and amount owed minimum value in data.
Further, in another embodiment of Service Data Management device of the present invention, the generation module further include:
First forms unit, is used for all kinds of refund rates, all kinds of refund total amounts, all kinds of repayment amounts
Maximum value and all kinds of repayment amount minimum values are set as new repayment amount, form all kinds of repayment amount data groups；
Second forms unit, is used for all kinds of debt total amounts, all kinds of amount owed maximum values and all kinds of institutes
The amount owed that amount owed minimum value is set as new is stated, all kinds of amount owed data groups are formed；
Transmission unit, for according to the preset data subtype in the default template data point of addition it is corresponding
Relationship adds all kinds of repayment amount data groups and all kinds of amount owed burst data transmissions to corresponding each data
Add in position, replace the design variables in the data point of addition, generates data sheet.
Wherein, each virtual functions module of above-mentioned Service Data Management device is stored in Service Data Management shown in Fig. 3 and sets
In standby memory 1005, when processor 1001 executes service data manager, modules in embodiment illustrated in fig. 2 are realized
Function.
Referring to Fig. 3, Fig. 3 is the device structure schematic diagram for the hardware running environment that present invention method is related to.
Service Data Management equipment of the embodiment of the present invention can be PC (personal computer, personal computer),
It can be the terminal devices such as smart phone, tablet computer, E-book reader, portable computer.
As shown in figure 3, the Service Data Management equipment may include: processor 1001, such as CPU (Central
Processing Unit, central processing unit), memory 1005, communication bus 1002.Wherein, communication bus 1002 for realizing
Connection communication between processor 1001 and memory 1005.Memory 1005 can be high-speed RAM (random access
Memory, random access memory), it is also possible to stable memory (non-volatile memory), such as disk storage
Device.Memory 1005 optionally can also be the storage device independently of aforementioned processor 1001.
Optionally, which can also include user interface, network interface, camera, RF (Radio
Frequency, radio frequency) circuit, sensor, voicefrequency circuit, WiFi (Wireless Fidelity, WiMAX) module etc..
User interface may include display screen (Display), input unit such as keyboard (Keyboard), and optional user interface can be with
Including standard wireline interface and wireless interface.Network interface optionally may include standard wireline interface and wireless interface (such as
WI-FI interface).
It will be understood by those skilled in the art that Service Data Management device structure shown in Fig. 3 is not constituted to business
The restriction of data management apparatus may include perhaps combining certain components or different than illustrating more or fewer components
Component layout.
As shown in figure 3, as may include operating system, net in a kind of memory 1005 of computer readable storage medium
Network communication module and service data manager.Operating system is to manage and control Service Data Management device hardware and software
The program of resource supports the operation of service data manager and other softwares and/or program.Network communication module is for real
Communication between the existing 1005 each component in inside of reservoir, and lead between other hardware and softwares in Service Data Management equipment
Letter.
In Service Data Management equipment shown in Fig. 3, processor 1001 is for executing the industry stored in memory 1005
Business data administrator, realizes the step in each embodiment of above-mentioned service data management method.
The present invention provides a kind of computer readable storage medium, the computer-readable recording medium storage have one or
More than one program of person, the one or more programs can also be executed by one or more than one processor with
Step in the above-mentioned each embodiment of service data management method of realization.
It should also be noted that, herein, the terms "include", "comprise" or its any other variant are intended to non-
It is exclusive to include, so that the process, method, article or the device that include a series of elements not only include those elements,
It but also including other elements that are not explicitly listed, or further include solid by this process, method, article or device
Some elements.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including
There is also other identical elements in the process, method of the element, article or device.
The serial number of the above embodiments of the invention is only for description, does not represent the advantages or disadvantages of the embodiments.
Through the above description of the embodiments, those skilled in the art can be understood that above-described embodiment side
Method can be realized by means of software and necessary general hardware platform, naturally it is also possible to by hardware, but in many cases
The former is more preferably embodiment.Based on this understanding, technical solution of the present invention substantially in other words does the prior art
The part contributed out can be embodied in the form of software products, which is stored in one as described above
In computer readable storage medium (such as ROM/RAM, magnetic disk, CD), including some instructions are used so that a terminal device (can
To be mobile phone, computer, server or the network equipment etc.) execute method described in each embodiment of the present invention.
The above description is only a preferred embodiment of the present invention, is not intended to limit the scope of the invention, all at this
Under the design of invention, using equivalent structure transformation made by description of the invention and accompanying drawing content, or directly/it is used in it indirectly
He is included in scope of patent protection of the invention relevant technical field.
Claims (10)
1. a kind of service data management method, which is characterized in that the service data management method the following steps are included:
When receiving business datum, each business datum is scanned, and by each business number after the completion of scanning
It is split according to based on preset data type, generates associated services tables of data；
When detecting more new command, more new identifier entrained in the more new command is read, and mark according to the update
Know the business subdata to be updated in the determining each associated services tables of data of symbol, the business subdata to be updated is carried out more
Newly；
When detection reaches preset time, in each associated services tables of data repayment amount and amount owed be based on it is default
Data subtypes are counted, and all kinds of repayment amounts and the amount owed are transferred in default template, generate number
According to report.
2. service data management method as described in claim 1, which is characterized in that the more new identifier according to determines
Business subdata to be updated in each associated services tables of data, the step of being updated to the business subdata to be updated
Include:
By the task identifier comparison of each business subdata in the more new identifier and each associated services tables of data, determine
It whether there is and the consistent target service identifier of the more new identifier in each task identifier；
If it exists with the consistent target service identifier of the more new identifier, by the business with the target service identifier
Subdata is determined as business subdata to be updated, and detects whether to generate and the refund data for updating identifier match；
If generating and the refund data for updating identifier match, reading update gold corresponding with the more new identifier
Repayment amount in volume and the refund data, and according to the update amount of money and the repayment amount to described to be updated
Business subdata is updated.
3. service data management method as claimed in claim 2, which is characterized in that described according to the update amount of money and described
The step of repayment amount is updated the business subdata to be updated include:
The update amount of money and the repayment amount are compared, judge whether the update amount of money is consistent with the repayment amount；
If the update amount of money is consistent with the repayment amount, according to the update amount of money to the business subdata to be updated
It is updated, the business subdata to be updated is updated to target service subdata.
4. service data management method as described in claim 1, which is characterized in that described to each associated services tables of data
In repayment amount and amount owed be based on preset data subtype the step of being counted and include:
According to the table identifier of each associated services tables of data, repayment amount number is determined from each associated services tables of data
According to table and amount owed tables of data；
According to the preset data subtype, respectively to the reimbursement business subdata in the repayment amount tables of data, Yi Jisuo
Debt business subdata in amount owed tables of data is stated to classify；
The amount owed of repayment amount and the debt business subdata to all types of reimbursement business subdatas carries out
Statistics, generates the refund total amount and debt total amount in each preset data subtype respectively.
5. service data management method as claimed in claim 4, which is characterized in that described according to the preset data subclass
Type, respectively to debt industry in the reimbursement business subdata and the amount owed tables of data in the repayment amount tables of data
Business subdata the step of being classified includes:
Read the first classification number of each reimbursement business subdata and the second classification number of each debt business subdata；
Each first classification number, second classification number are compared with the preset data subtype respectively, generate each first
Comparing result and each second comparing result；
According to each first comparing result and each second comparing result respectively to the reimbursement business subdata and described
Debt business subdata is classified.
6. service data management method as claimed in claim 4, which is characterized in that described to be generated respectively in each present count
Include: according to after the step of refund total amount and debt total amount in subtype
The identical refund total amount of type and the debt total amount are done into ratio, determine each preset data subtype
Refund rate；
The repayment amount of all types of reimbursement business subdatas is compared, determines all types of reimbursement business subdatas
In repayment amount maximum value and repayment amount minimum value；
The amount owed of all types of debt business subdatas is compared, determines all types of debt business subdatas
In amount owed maximum value and amount owed minimum value.
7. service data management method as claimed in claim 6, which is characterized in that described by all kinds of repayment amounts and institute
Amount owed is stated to be transferred in default template, generate data sheet the step of include:
By all kinds of refund rates, all kinds of refund total amounts, all kinds of repayment amount maximum values and all kinds of refund
Amount of money minimum value is set as new repayment amount, forms all kinds of repayment amount data groups；
All kinds of debt total amounts, all kinds of amount owed maximum values and all kinds of amount owed minimum values are set as new
Amount owed, form all kinds of amount owed data groups；
According to the corresponding relationship of data point of addition in the preset data subtype and the default template, will it is all kinds of described and also
Money value data group and all kinds of amount owed burst data transmissions are into corresponding each data point of addition, described in replacement
Design variables in data point of addition generate data sheet.
8. a kind of Service Data Management device, which is characterized in that the Service Data Management device includes:
Module is split, for being scanned to each business datum when receiving business datum, and will after the completion of scanning
Each business datum is based on preset data type and is split, and generates associated services tables of data；
Update module, for when detecting more new command, reading more new identifier entrained in the more new command, and root
The business subdata to be updated in each associated services tables of data is determined according to the more new identifier, to the business to be updated
Subdata is updated；
Generation module, for the repayment amount in each associated services tables of data and owing when detection reaches preset time
The money amount of money is based on preset data subtype and is counted, and all kinds of repayment amounts and the amount owed is transferred to default
In template, data sheet is generated.
9. a kind of Service Data Management equipment, which is characterized in that the Service Data Management equipment include: memory, processor,
Communication bus and the service data manager being stored on the memory；
The communication bus is for realizing the connection communication between processor and memory；
The processor is for executing the service data manager, to realize as of any of claims 1-7
The step of service data management method.
10. a kind of computer readable storage medium, which is characterized in that be stored with business number on the computer readable storage medium
According to management program, realize when the service data manager is executed by processor as of any of claims 1-7
The step of service data management method.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110276692A (en) * | 2019-06-25 | 2019-09-24 | 深圳前海微众银行股份有限公司 | A kind of method and device handling transaction data |
| CN110515946A (en) * | 2019-08-15 | 2019-11-29 | 中国平安财产保险股份有限公司 | Data extraction method, device, equipment and computer readable storage medium |
| CN111274255A (en) * | 2020-01-20 | 2020-06-12 | 拉扎斯网络科技（上海）有限公司 | Service data monitoring method and system, monitoring architecture, equipment and storage medium |
| CN112132692A (en) * | 2020-09-27 | 2020-12-25 | 泰康保险集团股份有限公司 | Policy data processing method and device, storage medium and electronic equipment |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103827908A (en) * | 2011-07-12 | 2014-05-28 | 益百利信息解决方案公司 | Systems and methods for a large-scale credit data processing architecture |
| CN104766240A (en) * | 2015-03-24 | 2015-07-08 | 中国银行股份有限公司 | Electronic banking data processing system and method |
| CN107229652A (en) * | 2016-03-25 | 2017-10-03 | 阿里巴巴集团控股有限公司 | A kind of account data and account asset data update method, apparatus and system |
| CN107945012A (en) * | 2017-12-13 | 2018-04-20 | 深圳乐信软件技术有限公司 | A kind of amount computational methods, device, equipment and storage medium |
| CN108200059A (en) * | 2018-01-02 | 2018-06-22 | 深圳壹账通智能科技有限公司 | Document transmission method, device, equipment and computer readable storage medium |
| CN108376364A (en) * | 2018-02-07 | 2018-08-07 | 深圳市雁联计算系统有限公司 | A kind of method, equipment and the terminal device of payment system reconciliation |
| CN108389123A (en) * | 2018-02-12 | 2018-08-10 | 中科柏诚科技（北京）股份有限公司 | A kind of internet syndicated loan system and method |
| CN108416669A (en) * | 2018-03-13 | 2018-08-17 | 腾讯科技（深圳）有限公司 | User behavior data processing method, device, electronic equipment and computer-readable medium |
-
2018
- 2018-10-16 CN CN201811207456.XA patent/CN109634950A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103827908A (en) * | 2011-07-12 | 2014-05-28 | 益百利信息解决方案公司 | Systems and methods for a large-scale credit data processing architecture |
| CN104766240A (en) * | 2015-03-24 | 2015-07-08 | 中国银行股份有限公司 | Electronic banking data processing system and method |
| CN107229652A (en) * | 2016-03-25 | 2017-10-03 | 阿里巴巴集团控股有限公司 | A kind of account data and account asset data update method, apparatus and system |
| CN107945012A (en) * | 2017-12-13 | 2018-04-20 | 深圳乐信软件技术有限公司 | A kind of amount computational methods, device, equipment and storage medium |
| CN108200059A (en) * | 2018-01-02 | 2018-06-22 | 深圳壹账通智能科技有限公司 | Document transmission method, device, equipment and computer readable storage medium |
| CN108376364A (en) * | 2018-02-07 | 2018-08-07 | 深圳市雁联计算系统有限公司 | A kind of method, equipment and the terminal device of payment system reconciliation |
| CN108389123A (en) * | 2018-02-12 | 2018-08-10 | 中科柏诚科技（北京）股份有限公司 | A kind of internet syndicated loan system and method |
| CN108416669A (en) * | 2018-03-13 | 2018-08-17 | 腾讯科技（深圳）有限公司 | User behavior data processing method, device, electronic equipment and computer-readable medium |
Non-Patent Citations (2)
| Title |
|---|
| 张星;蒋秀才;杨坚刚;杨声钢;: "商业银行信贷数据变更系统的研究与实践", 金融电子化, no. 11 * |
| 钱书浩: "资金清算系统设计", 华南金融电脑, no. 08 * |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110276692A (en) * | 2019-06-25 | 2019-09-24 | 深圳前海微众银行股份有限公司 | A kind of method and device handling transaction data |
| CN110276692B (en) * | 2019-06-25 | 2023-09-12 | 深圳前海微众银行股份有限公司 | Method and device for processing transaction data |
| CN110515946A (en) * | 2019-08-15 | 2019-11-29 | 中国平安财产保险股份有限公司 | Data extraction method, device, equipment and computer readable storage medium |
| CN110515946B (en) * | 2019-08-15 | 2023-07-21 | 中国平安财产保险股份有限公司 | Data extraction method, device, equipment and computer readable storage medium |
| CN111274255A (en) * | 2020-01-20 | 2020-06-12 | 拉扎斯网络科技（上海）有限公司 | Service data monitoring method and system, monitoring architecture, equipment and storage medium |
| CN112132692A (en) * | 2020-09-27 | 2020-12-25 | 泰康保险集团股份有限公司 | Policy data processing method and device, storage medium and electronic equipment |
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