CN110008180A - Financial data recording method, device, computer equipment and storage medium - Google Patents

Financial data recording method, device, computer equipment and storage medium Download PDF

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Publication number
CN110008180A
CN110008180A CN201910264447.2A CN201910264447A CN110008180A CN 110008180 A CN110008180 A CN 110008180A CN 201910264447 A CN201910264447 A CN 201910264447A CN 110008180 A CN110008180 A CN 110008180A
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data
service
financial
type
financial data
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蔡基艺
廖春平
许文军
王海龙
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Ping An Trust Co Ltd
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Ping An Trust Co Ltd
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Priority to CN201910264447.2A priority Critical patent/CN110008180A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/10File systems; File servers
    • G06F16/13File access structures, e.g. distributed indices
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/12Accounting
    • G06Q40/125Finance or payroll

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  • Business, Economics & Management (AREA)
  • Accounting & Taxation (AREA)
  • Finance (AREA)
  • Theoretical Computer Science (AREA)
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  • General Physics & Mathematics (AREA)
  • Development Economics (AREA)
  • Technology Law (AREA)
  • Strategic Management (AREA)
  • General Business, Economics & Management (AREA)
  • Marketing (AREA)
  • Economics (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Financial Or Insurance-Related Operations Such As Payment And Settlement (AREA)

Abstract

This application involves a kind of financial data recording method, device, computer equipment and the storage mediums of artificial intelligence field.The described method includes: reading rule file corresponding with the first criterion, type of service and corresponding typing element are had recorded in the rule file;Financial sffairs paper corresponding with the second criterion is read according to the type of service, corresponding financial data is read in the financial sffairs paper according to the typing element;The financial data read is input to the registration page;Risk data corresponding with the type of service is obtained, and the financial data after registration is spliced with corresponding risk data, spliced data are stored in data warehouse.Quickly and effectively financial data can be converted under different accounting standards using this method.

Description

Financial data recording method, device, computer equipment and storage medium
Technical field
This application involves field of computer technology, set more particularly to a kind of financial data recording method, device, computer Standby and storage medium.
Background technique
Enterprise needs to record financial data according to accounting standard, so as to standardized administration in business process.If Accounting standard changes, then needs for financial data to be managed according to new accounting standard.In general, financial data can be related to The data of multiple business type, data volume are larger.Therefore, how quickly and effectively the financial data under a kind of accounting standard to be pressed Carrying out record according to another accounting standard becomes a technical problem for needing to solve at present.
Summary of the invention
Based on this, it is necessary in view of the above technical problems, provide it is a kind of can quickly and effectively will be under a kind of accounting standard Financial data recording method, device, computer equipment and the storage that financial data is recorded according to another accounting standard are situated between Matter.
A kind of financial data recording method, which comprises
Rule file corresponding with the first criterion is read, has recorded type of service and corresponding typing in the rule file Element;
Financial sffairs paper corresponding with the second criterion is read according to the type of service, according to the typing element in the wealth Corresponding financial data is read in business file;
The financial data read is input to the registration page;
Obtain corresponding with type of service risk data, and by financial data and the corresponding risk data after registration Spliced, spliced data are stored in data warehouse.
In one of the embodiments, the method also includes:
It monitors payment operation corresponding with service identification and obtains the corresponding industry of the service identification after successful payment Business data;The business datum includes type of service;
Respective field is extracted in the business datum according to the corresponding typing element of the type of service;
When there are absent field, amended record prompt letter corresponding with first criterion is generated using the absent field Breath.
In one of the embodiments, the method also includes:
The corresponding metering method of financial data after identifying the registration;
Corresponding metering model is called according to the metering method;
The financial data after registration is calculated using the metering model, generates corresponding metric results;
The metric results are corresponded to the spliced data to save.
It is described in one of the embodiments, that accounting packet is carried out to the financial data after registration using the metering model It includes:
It obtains and multiple in the metering model enters to join corresponding weight;
By the metering model according to it is multiple enter ginseng between calculating logic, using it is multiple enter join corresponding registration after Financial data and weight are calculated, and corresponding metric results are generated.
In one of the embodiments, the method also includes:
Multiple investment subjects, invested unit, type of service and investment relation are extracted in financial data after registration;
Using the investment subject and invested unit as node, using the type of service and investment relation as category Property;
It carries out the connection between Directed Vector among multiple nodes using attribute, generates corresponding knowledge mapping.
A kind of financial data recording device, described device include:
Data acquisition module has recorded industry in the rule file for reading rule file corresponding with the first criterion Service type and corresponding typing element;Financial sffairs paper corresponding with the second criterion is read according to the type of service, according to described Typing element reads corresponding financial data in the financial sffairs paper;
Data inputting module, for the financial data read to be input to the registration page;
The data acquisition module is also used to obtain risk data corresponding with the type of service;
Data memory module, for splicing the financial data after registration with corresponding risk data, after splicing Data be stored in data warehouse.
The data acquisition module is also used to monitor payment behaviour corresponding with service identification in one of the embodiments, Make, after successful payment, obtains the corresponding business datum of the service identification;The business datum includes type of service;Root Respective field is extracted in the business datum according to the corresponding typing element of the type of service;
Described device further include:
Amended record cue module, for being generated and first criterion using the absent field when there are absent field Corresponding amended record prompt information.
Described device in one of the embodiments, further include: metering module, for identification financial number after the registration According to corresponding metering method;Corresponding metering model is called according to the metering method;Using the metering model to registration after Financial data calculated, generate corresponding metric results;The data memory module is also used to the metric results pair The spliced data are answered to be saved.
A kind of computer equipment, including memory and processor, the memory are stored with computer program, the processing Device realizes the step in above-mentioned each embodiment of the method when executing the computer program.
A kind of computer readable storage medium, is stored thereon with computer program, and the computer program is held by processor The step in above-mentioned each embodiment of the method is realized when row.
Above-mentioned financial data recording method, device, computer equipment and storage medium, it is corresponding with the first criterion by utilizing Rule file, the financial data to match with the first criterion can be read in financial sffairs paper corresponding with the second criterion, will The financial data read is input in the registration page.While in order to meet the requirement of the second criterion, obtain and type of service pair Financial data after grade is spliced with corresponding risk data, is thus obtained according to the second criterion by the risk data answered The financial data of record.In the whole process, without human intervention, can under fast and effective second criterion magnanimity financial data It is recorded according to the first criterion.A large amount of manual work is not only saved, and effectively increases financial data in different meetings The efficiency of conversion record is carried out under meter criterion.
Detailed description of the invention
Fig. 1 is the application scenario diagram of financial data recording method in one embodiment;
Fig. 2 is the flow diagram of financial data recording method in one embodiment;
Fig. 3 is the flow diagram for carrying out metrology steps in one embodiment to the financial data after registration;
Fig. 4 is the flow diagram that knowledge mapping step is established in one embodiment;
Fig. 5 is the structural block diagram of financial data recording device in one embodiment;
Fig. 6 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.
Financial data recording method provided by the present application, can be applied in application environment as shown in Figure 1.Wherein, eventually End 102 is communicated by network with server 104.Wherein, terminal 102 can be, but not limited to be various personal computers, pen Remember this computer, smart phone, tablet computer and portable wearable device, server 104 can with independent server or It is the server cluster of multiple server compositions to realize.It is generated in terminal 102 and the first accounting standard (hereinafter referred to as first Criterion) corresponding rule file.Type of service and corresponding typing element are had recorded in rule file.It is stored on server 104 Corresponding with the second accounting standard (hereinafter referred to as the second criterion) financial sffairs paper.Rule file is uploaded to service by terminal 102 Device 104.Server 104 reads the rule file, according to the type of service recorded in rule file, reads corresponding with the second criterion Financial sffairs paper, corresponding financial data is read in financial sffairs paper according to typing element.Script text has been run on server 104 Part.The financial data read can be input to the registration page by script file.Server 104 obtains and type of service pair The risk data answered.Server 104 splices the financial data after registration with corresponding risk data, by spliced number According to deposit data warehouse.It is thus achieved that quickly and effectively carrying out conversion record to financial data under different accounting standards.
In one embodiment, as shown in Fig. 2, providing a kind of financial data recording method, it is applied to Fig. 1 in this way In server for be illustrated, comprising the following steps:
Step 202, read corresponding with the first criterion rule file, had recorded in rule file type of service with it is corresponding Typing element.
Rule file has been stored in advance on server.Rule file can be terminal and be uploaded to server in advance.Rule In file corresponding type of service and corresponding typing element can be had recorded according to the requirement of new accounting standard.New Accounting standard is referred to as the first criterion.The corresponding typing element of different types of service can be the same or different.
Type of service may include a variety of, for example, type of service may include: company's equity investment, credits investment, trust Plan, privately-offered fund and bank financial product etc..Wherein, the corresponding typing element of company's equity investment includes: investment starting Day, projected investment closing day, share-holding share, shareholding ratio, fair value remaining sum, depreciation reserves volume.Credits investment is corresponding Typing element includes: value date, Expiration Date, loan types, interest rate, interest-bearing basis etc..Trust plan, privately-offered fund, bank's reason The corresponding typing element of property product includes: investment starting date, projected investment closing day, holds share, expected yield, interest-bearing base Plinth.
Step 204, financial sffairs paper corresponding with the second criterion is read according to type of service, according to typing element in financial text Corresponding financial data is read in part.
Step 206, the financial data read is input to the registration page.
Data warehouse is deployed in server.A variety of financial sffairs papers are stored in data warehouse.Wherein, financial sffairs paper can be with It is to be generated according to original accounting standard.Original accounting standard is referred to as the second criterion.Different types of service can With the different financial sffairs paper of correspondence.Same type of service can also correspond to multiple financial sffairs papers.Server is according to the first criterion pair Type of service recorded in the rule file answered reads financial sffairs paper corresponding with the second criterion in data warehouse.Finance A variety of financial datas are had recorded in file.Wherein, financial data can be is recorded in the form of tables of data etc..In financial sffairs paper according to Second criterion has recorded multiple fields of financial data.
Server reads corresponding field according to the corresponding typing element of the first criterion in financial sffairs paper, and will read Field registered automatically.Specifically, having run script file on server.Script file can be run with clocked flip.It is logical Mouse action and keyboard operation can be simulated by crossing script file, into the registration page.
Server reads financial data and corresponding input frame coordinate in financial sffairs paper, and simulation mouse action is being registered Cursor is controlled in the page and is moved to the corresponding input frame of input frame coordinate, and simulating keyboard operates the financial data typing that will be read Into input frame.Server can also be to read financial data and corresponding input frame title, simulation mouse behaviour in financial sffairs paper Make the control cursor in the registration page and be moved to the corresponding input frame of input frame title, simulating keyboard operates the finance that will be read Data inputting is into input frame.
Server can read all financial datas corresponding with typing element, the wealth that will be read from financial sffairs paper Business data correspond to input frame coordinate or corresponding input frame title, are stored in array.Server can obtain accordingly in array Financial data, simulating mouse action and keyboard operation will be in the input frame of financial data typing to the registration page.
Step 208, corresponding with type of service risk data is obtained, and by financial data and the corresponding risk after registration Data are spliced, and spliced data are stored in data warehouse.
For the requirement of the first criterion of further satisfaction, server can also obtain the corresponding risk number of each type of service According to.Risk data, which can be, to be uploaded by terminal, is also possible to be crawled by server from other websites.Risk data includes wind Dangerous grade and guarantee etc..Different types of service can correspond to different risk datas.For example, type of service is credits investment When, corresponding risk data includes risk class and guarantee.When type of service is bank financial product, corresponding risk number According to risk class can be only included.Further, different Business Names, different business can also be arranged in same type of service Title can also correspond to different risk class and/or guarantee.
Server splices the financial data after registration with corresponding risk data according to preset rules.Preset rules It can be the sequencing of field name.For example, according to service identification, type of service, Business Name, risk rating, guarantee Sequence spliced.Spliced multiple fields are stored in data warehouse by server.
It, can be in wealth corresponding with the second criterion by utilizing rule file corresponding with the first criterion in the present embodiment The financial data to match with the first criterion is read in business file.By simulation mouse action and keyboard operation, will read Financial data be input to registration the page in.While in order to meet the requirement of the second criterion, wind corresponding with type of service is obtained Dangerous data splice the financial data after grade with corresponding risk data, thus obtain according to the second criterion record Financial data.In the whole process, without human intervention, can under fast and effective second criterion magnanimity financial data according to One criterion is recorded.A large amount of manual work is not only saved, and effectively increases financial data in different accounting standards The lower efficiency for carrying out conversion record.
In one embodiment, this method further include: monitor corresponding with service identification payment operation, successful payment it Afterwards, the corresponding business datum of service identification is obtained;Business datum includes type of service;According to the corresponding typing element of type of service Respective field is extracted in business datum;When there are absent field, benefit corresponding with the first criterion is generated using absent field Record prompt information.
For financial sffairs paper existing in data warehouse, i.e., existing financial data, server can be according to above-mentioned implementation The mode provided in example carries out conversion record.For the financial data that there has been no in data warehouse, i.e., for newly-generated wealth Business data, server can directly extract corresponding field from business datum and be recorded according to the requirement of the first criterion.
Specifically, server can monitor the payment operation of more business, in the business after successful payment, server is obtained Take corresponding business datum.Server extracts corresponding field according to the typing element in rule file in business datum.Such as All fields corresponding with typing element are extracted in fruit business datum, then server can then skip the financial number that will be read According to the step of being input to the registration page.It, can after server is spliced the financial data read with corresponding risk data Spliced data are directly stored in data warehouse.Since financial data is carried out according to the typing element of the first criterion calls It extracts, it is possible thereby to directly be recorded according to the first criterion to financial data.Effectively increase the record effect of financial data Rate.
If the field extracted in business datum is less than typing element, then it represents that there is lack corresponding with the first criterion Field.Server by utilizing absent field generates amended record prompt information.It may include needing according to the first standard in amended record prompt information The then absent field of typing.Amended record prompt information can be sent to terminal by server.Terminal is uploaded according to amended record prompt information Corresponding amended record file, server, by Run Script file, can simulate mouse in the way of providing in above-described embodiment Operation and keyboard operation, are input to the registration page for the financial data of amended record.Meet due to being extracted in business datum The field of one criterion calls, it is possible thereby to which the corresponding financial data of amended record absent field, is effectively reduced financial data Amended record work.
In one embodiment, the step of this method further includes, measures to the financial data after registration.Such as Fig. 3 institute Show, which specifically includes:
Step 302, the corresponding metering method of financial data after identification registration.
Step 304, corresponding metering model is called according to metering method.
Step 306, the financial data after registration is calculated using metering model, generates corresponding metric results.
Step 308, metric results spliced data are corresponded to save.
Server will do it corresponding metering for the financial data after registration.Metering used by different Service Periods Mode is different.It wherein, include identifier corresponding with metering method in the financial data after registration.Different identifiers indicates not Same metering method.Metering method includes that cost measurement, depreciation, investment are exited.
Server calls corresponding metering model according to metering method, using metering model to the financial data after registration into Row is calculated.Metering model includes that cost measurement model and depreciation metering model etc. are a variety of.
Specifically, server can call cost measurement model to carry out cost accounting to the financial data after registration.With clothes Business device be illustrated for cost measurement by amortized cost.Cost measurement model can indicate as follows:
End of term amortized cost=beginning amortized cost+beginning amortized cost * effective interest rate-depreciation-has withdrawn capital- Withdraw interest
It is assumed that directly providing 10,000,000 loans on January 1, interest rate 8% is the time limit 3 years, annual to pay interest, the repayment of principal at per year end 1000000, one's last year is disposably repaid principal.So, initial amortized cost=10,000,000, first 1 the end of month amortized cost=1000 Amortized cost=10,000,000+1000*8%- at the end of ten thousand+1000*8%* first month continuous days/365, the first are actually received Capital-depreciation for actually receiving of interest-.
Server may call upon depreciation metering model and carry out depreciation accounting to the financial data after registration.Depreciation refers to industry The book value for data of being engaged in is higher than its recoverable sum, and depreciation will cause loss.It in traditional mode, is exited in investment When, it can just calculate actual loss and calculate depreciation.In the present embodiment, in order to find this loss risk in time, server can be by Predeterminated frequency calculates corresponding depreciation.For example, server can carry out depreciation calculating etc. according to payment period etc..
Calculate to the financial data after registration using metering model in one of the embodiments, includes: to obtain meter It is multiple in amount model to enter to join corresponding weight;By metering model according to it is multiple enter ginseng between calculating logic, using it is multiple enter Financial data and weight after joining corresponding registration are calculated, and corresponding metric results are generated.
Depreciation metering model can preset it is multiple enter ginseng, it is different enters the corresponding different weight of ginseng.Enter the parameter of ginseng Name can be identical as the field name of the financial data after registration.Guarantee in financial data after registration etc. can be converted as phase The amount of money answered, risk rating can correspond to corresponding coefficient.Depreciation metering model utilizes the gold after amortized cost, guarantee conversion Volume and its corresponding weight and the corresponding coefficient of risk rating, calculate corresponding depreciation result.
For example, depreciation result=(amortized cost * a- guarantee amount of money * b) * credit rating coefficient.Wherein, a be booth it is remaining at This weight, b are guarantee amount of money weight.
Further, in order to ensure the accuracy of depreciation result, each entering to join corresponding weight in depreciation metering model can Dynamically to adjust.For example, can be adjusted according to interest rate, can also be adjusted according to earning rate.Server can be by Corresponding interest rate or earning rate etc. are crawled according to predeterminated frequency, corresponding weight is searched according to the interest rate or earning rate crawled and is adjusted Ratio, according to weight adjustment ratio to it is each enter ginseng weight be adjusted correspondingly.
After server by utilizing metering model calculates the financial data after registration, splice according to metric results are corresponding In data deposit data warehouse afterwards.Wherein, metric results can be on the basis of spliced data according to corresponding rule Continue to splice, data warehouse is stored in after splicing.
It, can be effective by calling metering model to carry out amortized cost and depreciation calculating to the financial data after registration automatically Mistake is calculated caused by avoiding because of human factor, effectively increases the accuracy of financial data calculating.
In one embodiment, this method further include: the step of establishing knowledge mapping.As shown in figure 4, the step is specifically wrapped It includes:
Step 402, extracted in the financial data after registration multiple investment subjects, invested unit, type of service and Investment relation.
Step 404, using investment subject and invested unit as node, using type of service and investment relation as category Property.
Step 406, it carries out the connection between Directed Vector among multiple nodes using attribute, generates corresponding knowledge graph Spectrum.
Server can obtain the financial data after registration according to fixed frequency in data warehouse, utilize the wealth after registration Data of being engaged in generate corresponding knowledge mapping.Specifically, the keyword of server by utilizing investment relation can be in the finance after registration Multiple investment subjects, invested unit and type of service are extracted in data.Wherein, the keyword of investment relation may include: Investment relation, ratio between investments etc..Same investment subject can have investment relation between multiple invested units, investment Ratio and type of service can be different.Server using the investment subject extracted and invested unit as node, Using type of service and investment relation as attribute.For example, company A has carried out the investment of C type of service to company B, then from A to The direction of B can be indicated with Directed Vector.
After investment relation of the server between identification egress and node, by the investment relation and business between node Type is as its corresponding attribute, according to entity, attribute, entity as triple, by triple in the form of relational data It is written in corresponding map document.Server can carry out Partition of role according to the significance level of each entity.For example, clothes Business device can carry out Partition of role to each entity using PageRank algorithm according to the significance level of each entity.Server pair After entity carries out Partition of role, corresponding triple can be transferred from map document according to the corresponding role of entity, it is raw At the Directed Vector between node.Server using between node investment relation and type of service as category between any two Property, corresponding directed connection is established respectively, generates corresponding knowledge mapping.
By establishing knowledge mapping, the throwing between investment subject and invested unit can be clearly understood in order to manager Money relationship and type of service with investment relation, provide convenience for service management.
It should be understood that although each step in the flow chart of Fig. 2-4 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. 2-4 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 5, providing a kind of financial data recording device, comprising: data acquisition module 502, data inputting module 504, data memory module 506, in which:
Data acquisition module 502 has recorded business in rule file for reading rule file corresponding with the first criterion Type and corresponding typing element;Financial sffairs paper corresponding with the second criterion is read according to type of service, is existed according to typing element Corresponding financial data is read in financial sffairs paper.
Data inputting module 504, for the financial data read to be input to the registration page.
Data acquisition module 502 is also used to obtain risk data corresponding with type of service.
Data memory module 506 will splice for splicing the financial data after registration with corresponding risk data Data afterwards are stored in data warehouse.
In one embodiment, data acquisition module is also used to monitor payment operation corresponding with service identification, is paying the bill After success, the corresponding business datum of service identification is obtained;Business datum includes type of service;According to the corresponding record of type of service Enter element and extracts respective field in business datum;The device further include: amended record cue module, for when there are absent fields When, amended record prompt information corresponding with the first criterion is generated using absent field.
In one embodiment, device further include: metering module, the corresponding meter of financial data after registering for identification Amount mode;Corresponding metering model is called according to metering method;The financial data after registration is calculated using metering model, Generate corresponding metric results;Data memory module is also used to corresponding to metric results into spliced data and save.
In one embodiment, metering module, which is also used to obtain, multiple in metering model enters to join corresponding weight;Pass through meter Measure model according to it is multiple enter ginseng between calculating logic, using it is multiple enter join the financial data after corresponding registration and weight into Row calculates, and generates corresponding metric results.
In one embodiment, device further include: map establishes module, for extracting in the financial data after registration Multiple investment subjects, invested unit, type of service and investment relation;Using investment subject and invested unit as section Point, using type of service and investment relation as attribute;Carry out the company between Directed Vector among multiple nodes using attribute It connects, generates corresponding knowledge mapping.
Specific about financial data recording device limits the limit that may refer to above for financial data recording method Fixed, details are not described herein.Modules in above-mentioned financial data recording device can fully or partially through software, hardware and its Combination is to realize.Above-mentioned each module can be embedded in the form of hardware or independently of in the processor in computer equipment, can also be with It is stored in the memory in computer equipment in a software form, in order to which processor calls the above modules of execution corresponding Operation.
In one embodiment, a kind of computer equipment is provided, which can be server, internal junction Composition can be as shown in Figure 6.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 storage rule file and financial data etc..The network interface of the computer equipment is used for and outside Terminal by network connection communication.To realize a kind of financial data recording method when the computer program is executed by processor.
It will be understood by those skilled in the art that structure shown in Fig. 6, 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, which performs the steps of when executing computer program reads rule file corresponding with the first criterion, Type of service and corresponding typing element are had recorded in rule file;Finance corresponding with the second criterion are read according to type of service File reads corresponding financial data according to typing element in financial sffairs paper;The financial data read is input to registration The page;Risk data corresponding with type of service is obtained, and the financial data after registration is spelled with corresponding risk data It connects, spliced data is stored in data warehouse.
In one embodiment, monitoring and service identification are also performed the steps of when which executes computer program Corresponding payment operation obtains the corresponding business datum of service identification after successful payment;Business datum includes service class Type;Respective field is extracted in business datum according to the corresponding typing element of type of service;When there are absent field, using lack It loses field and generates amended record prompt information corresponding with the first criterion.
In one embodiment, the wealth after identification registration is also performed the steps of when which executes computer program The corresponding metering method of data of being engaged in;Corresponding metering model is called according to metering method;Using metering model to the wealth after registration Business data are calculated, and corresponding metric results are generated;Metric results are corresponded to spliced data to save.
In one embodiment, it also performs the steps of and is obtained in metering model when which executes computer program It is multiple to enter to join corresponding weight;By metering model according to it is multiple enter ginseng between calculating logic, using it is multiple enter join it is corresponding Financial data and weight after registration are calculated, and corresponding metric results are generated.
In one embodiment, the finance after registration are also performed the steps of when which executes computer program Multiple investment subjects, invested unit, type of service and investment relation are extracted in data;By investment subject and by investment list Position is used as node, using type of service and investment relation as attribute;Directed Vector is carried out among multiple nodes using attribute Between connection, generate corresponding knowledge mapping.
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 reads rule file corresponding with the first criterion, records in rule file Type of service and corresponding typing element;Financial sffairs paper corresponding with the second criterion is read according to type of service, according to typing Element reads corresponding financial data in financial sffairs paper;The financial data read is input to the registration page;Acquisition and industry The corresponding risk data of service type, and the financial data after registration is spliced with corresponding risk data, it will be spliced Data are stored in data warehouse.
In one embodiment, monitoring and service identification are also performed the steps of when computer program is executed by processor Corresponding payment operation obtains the corresponding business datum of service identification after successful payment;Business datum includes service class Type;Respective field is extracted in business datum according to the corresponding typing element of type of service;When there are absent field, using lack It loses field and generates amended record prompt information corresponding with the first criterion.
In one embodiment, the wealth after identification registration is also performed the steps of when computer program is executed by processor The corresponding metering method of data of being engaged in;Corresponding metering model is called according to metering method;Using metering model to the wealth after registration Business data are calculated, and corresponding metric results are generated;Metric results are corresponded to spliced data to save.
In one embodiment, it also performs the steps of and is obtained in metering model when computer program is executed by processor It is multiple to enter to join corresponding weight;By metering model according to it is multiple enter ginseng between calculating logic, using it is multiple enter join it is corresponding Financial data and weight after registration are calculated, and corresponding metric results are generated.
In one embodiment, the finance after registration are also performed the steps of when computer program is executed by processor Multiple investment subjects, invested unit, type of service and investment relation are extracted in data;By investment subject and by investment list Position is used as node, using type of service and investment relation as attribute;Directed Vector is carried out among multiple nodes using attribute Between connection, generate corresponding knowledge mapping.
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 Relevant hardware is instructed to complete by computer program, the computer program can be stored in a non-volatile computer In read/write memory medium, the computer program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein, To any reference of memory, storage, database or other media used in each embodiment provided herein, Including 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.
The several embodiments of the application above described embodiment only expresses, the description thereof is more specific and detailed, but simultaneously It cannot therefore be construed as limiting the scope of the patent.It should be pointed out that coming for those of ordinary skill in the art It says, without departing from the concept of this application, various modifications and improvements can be made, these belong to the protection of the application Range.Therefore, the scope of protection shall be subject to the appended claims for the application patent.

Claims (10)

1. a kind of financial data recording method, which comprises
Rule file corresponding with the first criterion is read, type of service is had recorded in the rule file and is wanted with corresponding typing Element;
Financial sffairs paper corresponding with the second criterion is read according to the type of service, according to the typing element in the finance text Corresponding financial data is read in part;
The financial data read is input to the registration page;
Risk data corresponding with the type of service is obtained, and the financial data after registration is carried out with corresponding risk data Spliced data are stored in data warehouse by splicing.
2. the method according to claim 1, wherein the method also includes:
It monitors payment operation corresponding with service identification and obtains the corresponding business number of the service identification after successful payment According to;The business datum includes type of service;
Respective field is extracted in the business datum according to the corresponding typing element of the type of service;
When there are absent field, amended record prompt information corresponding with first criterion is generated using the absent field.
3. the method according to claim 1, wherein the method also includes:
The corresponding metering method of financial data after identifying the registration;
Corresponding metering model is called according to the metering method;
The financial data after registration is calculated using the metering model, generates corresponding metric results;
The metric results are corresponded to the spliced data to save.
4. according to the method described in claim 3, it is characterized in that, it is described using the metering model to the financial number after registration Include: according to calculate
It obtains and multiple in the metering model enters to join corresponding weight;
By the metering model according to it is multiple enter ginseng between calculating logic, enter to join the finance after corresponding registration using multiple Data and weight are calculated, and corresponding metric results are generated.
5. method according to any one of claims 1 to 4, which is characterized in that the method also includes:
Multiple investment subjects, invested unit, type of service and investment relation are extracted in financial data after registration;
Using the investment subject and invested unit as node, using the type of service and investment relation as attribute;
It carries out the connection between Directed Vector among multiple nodes using attribute, generates corresponding knowledge mapping.
6. a kind of financial data recording device, which is characterized in that described device includes:
Data acquisition module has recorded service class in the rule file for reading rule file corresponding with the first criterion Type and corresponding typing element;Financial sffairs paper corresponding with the second criterion is read according to the type of service, according to the typing Element reads corresponding financial data in the financial sffairs paper;
Data inputting module, for the financial data read to be input to the registration page;
The data acquisition module is also used to obtain risk data corresponding with the type of service;
Data memory module, for splicing the financial data after registration with corresponding risk data, by spliced number According to deposit data warehouse.
7. device according to claim 6, which is characterized in that the data acquisition module is also used to monitor and service identification Corresponding payment operation obtains the corresponding business datum of the service identification after successful payment;The business datum includes Type of service;Respective field is extracted in the business datum according to the corresponding typing element of the type of service;
Described device further include:
Amended record cue module, for being generated using the absent field corresponding with first criterion when there are absent field Amended record prompt information.
8. device according to claim 6, which is characterized in that described device further include: metering module, it is described for identification The corresponding metering method of financial data after registration;Corresponding metering model is called according to the metering method;Utilize the meter Amount model calculates the financial data after registration, generates corresponding metric results;The data memory module be also used to by The metric results correspond to the spliced data and are saved.
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 5 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 5 is realized when being executed by processor.
CN201910264447.2A 2019-04-03 2019-04-03 Financial data recording method, device, computer equipment and storage medium Pending CN110008180A (en)

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Application publication date: 20190712