CN110263016A - Data processing method, terminal device and computer storage medium - Google Patents
Data processing method, terminal device and computer storage medium Download PDFInfo
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Abstract
The embodiment of the present application discloses a kind of data processing method, terminal device and computer storage medium, it is related to data analysis field and data normalization, wherein method includes: to obtain trust data, wherein, the trust data include source label and tag along sort, determine that the system version of the trust data, the system version are data processing system version used when the trust data generate according to the source label；Whether the system version for judging the trust data is target version；If it is not, obtaining the corresponding target transformation rule of the system version in transformation rule from prestoring, the trust data are converted to the target data for meeting the target version format according to the target transformation rule；According to the tag along sort by the target data classification storage, it is possible to reduce the cost of the same set of merchant information of Multisystem maintenance improves consistency on messaging.
Description
Technical field
This application involves field of computer technology more particularly to a kind of data processing method, terminal device and computer to deposit
Storage media.
Background technique
Trust is trustee based on the trust to trustee, its proprietary is entrusted to trustee, by trustee by commission
The wish of people is the interests or specific purpose of beneficiary, the behavior for being managed and punishing with the name of oneself.Between general enterprises
Credit operation must not be directly carried out, and bank, if not reinforcing the management that trust business is borrowed by committee, easily causes tax revenue as fund side
On risk, increase it is each financing unit fund cost.But the management that trust business is borrowed to committee by bank is more complex, in trust business
Consistency on messaging it is not high, data are mixed and disorderly, and maintenance cost is high.
Summary of the invention
The embodiment of the present application provides a kind of data processing method, server and computer storage medium, is related to data processing
Field and data standardized technique, can be improved consistency on messaging, reduce the data maintenance cost of trust business.
In a first aspect, the embodiment of the present application provides a kind of data processing method, which comprises
Obtain trust data, wherein the trust data include source label and tag along sort, according to the source label
Determine that the system version of the trust data, the system version are data processing system used when the trust data generate
Version；
Whether the system version for judging the trust data is target version；
If it is not, the corresponding target transformation rule of the system version is obtained in transformation rule from prestoring, according to the target
The trust data are converted to the target data for meeting the target version format by transformation rule；
According to the tag along sort by the target data classification storage.
As a kind of possible embodiment, the system version for judging the trust data whether be target version it
Before, the method also includes:
The corresponding normalisation rule of system version for obtaining the trust data, according to described in normalisation rule processing
Trust data.
As a kind of possible embodiment, the trust data further include Claims Resolution information and virtual family information, it is described according to
Handling the trust data according to the normalisation rule includes:
Claims Resolution information and virtual family information for the trust data carry out data desensitization process, the letter after being desensitized
Hold in the palm data；
It whether there is vacancy project in trust data after detecting the desensitization；
If it exists, generate include the vacancy project report, export it is described report with prompt to the vacancy project into
Row completion.
As a kind of possible embodiment, the target transformation rule includes format mapping rule；
It is described that the trust data are converted to the mesh for meeting the target version format according to the target transformation rule
Marking data includes:
Detect item field in the trust data whether with template field matches；
If mismatching, the unmatched item field is converted to and the template word according to the format mapping rule
The matched aiming field of section.
As a kind of possible embodiment, the tag along sort includes come into force equity label, Pending The Entry Into Force equity label
The equity that failed label；
It is described according to the tag along sort by before the target data classification storage, the method also includes:
The corresponding target equity computation rule of the tag along sort is obtained in prestoring equity computation rule；
It is described to include: by the target data classification storage according to the tag along sort
Equity calculated result is obtained according to the target data and the target equity computation rule；
According to the tag along sort by the target data and the equity calculated result classification storage.
As a kind of possible embodiment, it is described according to the tag along sort by the target data classification storage it
Before, the method also includes:
The data label for obtaining the trust data obtains the corresponding pre-stored data template of the data label, will be described
Target data and the pre-stored data template carry out comparing, obtain data scoring；
Determine that the sender of the trust data, the sender of Xiang Suoshu trust data send packet according to the source label
The feedback information of data scoring containing the target data.
As a kind of possible embodiment, after the acquisition data scoring, the method also includes:
Judge whether the data scoring is higher than the first score threshold；
If being higher than, execute it is described according to the tag along sort by the target data classification storage the step of.
Second aspect, the embodiment of the present application provide a kind of terminal device, comprising: obtain module, determining module, judge mould
Block, conversion module and memory module, in which:
The acquisition module, for obtaining trust data, wherein the trust data include Claims Resolution information, virtual family letter
Breath, source label and tag along sort；The determining module, the system for determining the trust data according to the source label
Version；
The judgment module, for judging whether the system version of the trust data is target version；
The acquisition module is also used to, if the system version of the trust data is not the target version, is turned from prestoring
It changes in rule and obtains the corresponding target transformation rule of the system version；
The conversion module meets the target for being converted to the trust data according to the target transformation rule
The target data of release format；
The memory module, for according to the tag along sort by the target data classification storage.
The third aspect, the embodiment of the present application also provides a kind of terminal device, including processor, input equipment, output are set
Standby and memory, the processor, input equipment, output equipment and memory are connected with each other, wherein the memory is for depositing
Computer program is stored up, the computer program includes program instruction, and the processor is configured for calling described program instruction,
Execute the method as described in first aspect and its any possible embodiment.
Fourth aspect, the embodiment of the present application provide a kind of computer storage medium, the computer storage medium storage
There is computer program, the computer program includes program instruction, and described program instruction makes the place when being executed by a processor
The method that reason device executes above-mentioned first aspect and its any possible embodiment.
The embodiment of the present application is by obtaining trust data, wherein and above-mentioned trust data include source label and tag along sort,
The system version of above-mentioned trust data is determined according to above-mentioned source label, then judge above-mentioned trust data system version whether be
Target version, if it is not, the corresponding target transformation rule of above system version is obtained in transformation rule from prestoring, according to above-mentioned target
Above-mentioned trust data are converted to the target data for meeting above-mentioned target version format by transformation rule, further according to above-mentioned tag along sort
By above-mentioned target data classification storage, it is possible to reduce the cost of the same set of merchant information of Multisystem maintenance improves consistency on messaging.
Detailed description of the invention
Technical solution in ord to more clearly illustrate embodiments of the present application, below will be to needed in embodiment description
Attached drawing is briefly described.
Fig. 1 is a kind of flow diagram of data processing method provided by the embodiments of the present application；
Fig. 2 is a kind of flow diagram for data processing method that another embodiment of the application provides；
Fig. 3 is a kind of structural schematic diagram of terminal device provided by the embodiments of the present application；
Fig. 4 is the structural schematic diagram of another terminal device provided by the embodiments of the present application.
Specific embodiment
Below in conjunction with the attached drawing in the embodiment of the present application, technical solutions in the embodiments of the present application carries out clear, complete
Site preparation description, it is clear that described embodiment is some embodiments of the present application, instead of all the embodiments.Herein
" embodiment " is referred to it is meant that a particular feature, structure, or characteristic described may be embodied in the application at least in conjunction with the embodiments
In one embodiment.The phrase, which occurs, in each position in the description might not each mean identical embodiment, nor
With the independent or alternative embodiment of other embodiments mutual exclusion.Those skilled in the art explicitly and implicitly understand,
Embodiment described herein can be combined with other embodiments.
Based on the embodiment in the application, those of ordinary skill in the art are obtained without making creative work
The every other embodiment obtained, shall fall in the protection scope of this application.
The description and claims of this application and term " first " in above-mentioned attached drawing, " second " etc. are for distinguishing
Different objects, are not use to describe a particular order.In addition, term " includes " and " having " and their any deformations, it is intended that
It is to cover and non-exclusive includes.Such as the process, method, system, product or equipment for containing a series of steps or units do not have
It is defined in listed step or unit, but optionally further comprising the step of not listing or unit, or optionally also wrap
Include other step or units intrinsic for these process, methods, product or equipment.
It is also understood that mesh of the term used in this present specification merely for the sake of description specific embodiment
And be not intended to limit the application.As present specification and it is used in the attached claims, unless on
Other situations are hereafter clearly indicated, otherwise " one " of singular, "one" and "the" are intended to include plural form.
It will be further appreciated that the term "and/or" used in present specification and the appended claims is
Refer to any combination and all possible combinations of one or more of associated item listed, and including these combinations.
As used in this specification and in the appended claims, term " if " can be according to context quilt
Be construed to " when ... " or " once " or " in response to determination " or " in response to detecting ".Similarly, phrase " if it is determined that " or
" if detecting [described condition or event] " can be interpreted to mean according to context " once it is determined that " or " in response to true
It is fixed " or " once detecting [described condition or event] " or " in response to detecting [described condition or event] ".
In order to more fully understand the embodiment of the present application, will be situated between below to the method for application the embodiment of the present application
It continues.
The terminal device mentioned in the embodiment of the present application can be the equipment communicated with server, above-mentioned server
Claim servomechanism, is to provide the equipment of the service of calculating, can permit multiple terminal devices and access.Above-mentioned terminal device include but
It is not limited to desktop computer, mobile terminal, above-mentioned mobile terminal may include the various handheld devices with wireless communication function, can
Wearable device, calculate equipment or be connected to radio modem other processing equipments and various forms of user equipmenies
(User Equipment, UE), mobile station (Mobile Station, MS) etc..
It referring to Figure 1, is a kind of schematic flow diagram of data processing method provided by the embodiments of the present application, as shown in Figure 1
This method can include:
101, trust data are obtained, wherein above-mentioned trust data include source label and tag along sort, according to above-mentioned source
Label determines the system version of above-mentioned trust data.
Enterprise can targetedly carry out capital investment in leisured remaining fund, and borrower is specified to carry out entrusted loan
And trust loans；Or in conglomerate, in order to reduce the whole finance costs in group, by by support mechanism by group internal
Fund enlending is to the specified borrower in group.
Method in the embodiment of the present application can be adapted for terminal device, the terminal device can with server or other
Terminal device (user terminal, such as mobile phone, computer) communication, hereon referred to as ustomer premises access equipment, the terminal device can be used for
Receive and store trust data.Above-mentioned trust data can come from above-mentioned ustomer premises access equipment, therefore above-mentioned its data of trust data
Type, data format etc. may be different, need to carry out unification, in order to which data are managed collectively and are analyzed.
In the embodiment of the present application, above system version can be understood as data processing system used when trust data generate
Unite version, above-mentioned data processing system can specifically include data processing software or tool, can be used on ustomer premises access equipment with
The system that the system of above-mentioned terminal device matches can be taken automatically then when sending above-mentioned trust data to the terminal device
With above-mentioned source label, the system version of the trust data is determined for the terminal device, then is accurately carried out subsequent data and turned
It changes.Specifically, the corresponding relationship of the available source label and system version prestored of the terminal device, is based on the source label
With the corresponding relationship of system version, the system version of the trust data is determined by the source label of above-mentioned acquisition, and then can be with
Execute step 102.
102, whether the system version for judging above-mentioned trust data is target version.
It specifically, can store target version information in the terminal device, that is, include the trust number for finally needing to obtain
According to target version, above-mentioned target version can be understood as system version used in the terminal device, which can be with
It is configured, can also modify according to demand in advance.
The terminal device needs the trust data of system associated with it being converted to unified data structure to be counted in other words
It is stored according to format, with the situation for reducing the cost of the same set of merchant information of Multisystem maintenance, while avoiding information inconsistent.True
After the system version of the fixed above-mentioned trust data received, it can be determined that whether the system version of trust data is the target version
This, if it is not, step 103 can be executed；If so, not executing step 103, step 104, i.e., trust data at this time can be executed
Meet release requirement, can be used as target data and stored.
103, from the corresponding target transformation rule of acquisition above system version in transformation rule is prestored, turned according to above-mentioned target
It changes rule and above-mentioned trust data is converted to the target data for meeting above-mentioned target version format.
When detecting the system version of above-mentioned trust data is not target version, version conversion i.e. data can be carried out and turned
It changes.
It can store at least one in the terminal device and prestored transformation rule and system version and data conversion rule
Corresponding relationship.After the system version for determining above-mentioned trust data, the system version can be obtained according to above-mentioned corresponding relationship
This corresponding data conversion rule, i.e. this target transformation rule used, carry out data based on the target transformation rule
Trust data are converted to the target data for meeting above-mentioned target version format, and then can execute step 104 by conversion process.
Optionally, above-mentioned target transformation rule may include format mapping rule；Step 103 can specifically include:
Detect item field in above-mentioned trust data whether with template field matches；
If mismatching, above-mentioned unmatched item field is converted to and above-mentioned template word according to above-mentioned format mapping rule
The matched aiming field of section.
104, according to above-mentioned tag along sort by above-mentioned target data classification storage.
Specifically, above-mentioned target data can be respectively stored in different memory space or text according to its tag along sort
In part folder, it can be that the data of same category label are stored together, be convenient for data search and acquisition.
Optionally, above-mentioned tag along sort can also include come into force equity label, Pending The Entry Into Force equity label and the power that failed
Beneficial label；
Before executing step 104, this method can also include:
The corresponding target equity computation rule of above-mentioned tag along sort is obtained in prestoring equity computation rule；
Step 104 can specifically include:
Equity calculated result is obtained according to above-mentioned target data and above-mentioned target equity computation rule；
According to above-mentioned tag along sort by above-mentioned target data and above-mentioned equity calculated result classification storage.
Specifically, can store above-mentioned equity computation rule and tag along sort and equity calculating in the terminal device
The corresponding relationship of rule, can determine and obtain corresponding from above-mentioned equity computation rule according to the tag along sort of above-mentioned acquisition
Target equity computation rule.
According to the difference for the type for consuming trust in target data, which can carry out different type different conditions
The setting of the calculating standard of lower equity, the equity for calling those information to carry out user's trust under corresponding equity state calculate, i.e.,
The equity calculated result of above-mentioned target data can be obtained according to target equity computation rule, then is stored.Accordingly, it is examining
When measuring the transaction in target data and having executed, which can generate different trading processings according to the progress of above-mentioned transaction
The business table of node, and above-mentioned business table is stored in preset file catalogue, to record the intermediate letter of above-mentioned transaction
The transaction progress of trust is consumed in breath and tracking target data.
The embodiment of the present application is by obtaining trust data, wherein and above-mentioned trust data include source label and tag along sort,
The system version of above-mentioned trust data is determined according to above-mentioned source label, then judge above-mentioned trust data system version whether be
Target version, if it is not, the corresponding target transformation rule of above system version is obtained in transformation rule from prestoring, then according to above-mentioned
Above-mentioned trust data are converted to the target data for meeting above-mentioned target version format by target transformation rule, and according to above-mentioned classification
Label is by above-mentioned target data classification storage, it is possible to reduce the cost of the same set of merchant information of Multisystem maintenance improves information one
Cause property.
It referring to fig. 2, is the schematic flow diagram of another data processing method provided by the embodiments of the present application, it is shown in Fig. 2
Embodiment, which can be, to be obtained on the basis of embodiment shown in Fig. 1, this method as shown in Figure 2 can include:
201, trust data are obtained, wherein above-mentioned trust data include source label and tag along sort, according to above-mentioned source
Label determines the system version of above-mentioned trust data.
Wherein, above-mentioned steps 201 can distinguish the specific descriptions in the step 101 of embodiment illustrated in fig. 1, no longer superfluous herein
It states.
202, the corresponding normalisation rule of system version for obtaining above-mentioned trust data, according to above-mentioned standard rule process
Above-mentioned trust data.
Before data conversion, data normalization (normalization) can be first carried out.Data normalization is namely united
The indexation counted.Data normalization processing mainly handles two aspects with chemotactic processing and nondimensionalization including data.Number
It is handled according to same chemotactic and mainly solves heterogeneity data problem, directly adding up not to heterogeneity index can correctly reflect different works
Synthesis result firmly must first consider to change inverse indicators data character, make all indexs to the same chemotactic of the active force of Te st grogram,
Correct result can just be obtained by adding up again.The processing of data nondimensionalization mainly solves the comparativity of data.The method of data normalization
There are many kinds of, there are commonly " minimums-maximum standardization ", " Z-score standardization " and " by decimal calibration standardization " etc..Through
Above-mentioned standardization processing is crossed, initial data is converted into index without dimension assessment value, i.e., each index value is all in same number
Magnitude not on, can carry out storage or comprehensive test analysis.Mainly being continuously increased due to data volume, originally data structure
May be unreasonable, it is not able to satisfy the requirement of various aspects.By the replacement of database, the replacement of data structure, to need data sheet
The conversion of body.
Transcoded data is called data conversion (data transfer), is that data are become another from a kind of representation
The process of the form of expression.Data transmitting in trust data system, there are the replacement of database, the replacement of data structure, from
And the conversion for needing data itself.
The corresponding relationship of above system release criteriaization rule can be understood as data conversion standard, can pass through above-mentioned number
The transcoded data of specification is realized according to transfer standard.
Data conversion standard includes the planning that a whole set of encodes data by field, record and documentation requirements, so as to
It is converted by specified medium.Data model is the prerequisite for developing coding rule, and the intermediary nature of transfer standard is
A kind of main feature.All data can be made there won't be any problem effectively to communicate after transfer standard optimization, and to product and database knot
Structure then can effectively be stored after optimizing, application and maintenance.
It can store the corresponding relationship of system version and normalisation rule, i.e., the number of different system versions in electronic equipment
According to using different normalisation rules to be handled.It, can be according to above-mentioned standard after the system version for determining trust data
Change the above-mentioned trust data of rule process, obtains the data for meeting above-mentioned target version format.
Above-mentioned standard rule may include repeating to check rule, for detecting the repeated data in target data, and
It can be with deleting duplicated data.
Above-mentioned standard rule may include format convention, the format of target data can be united according to above-mentioned format convention
One.
Above-mentioned standard rule can also include the processing to wrong data, and mistake Producing reason may be operation system
Not well established, caused by not carrying out judgement after receiving input and writing direct background data base, for example numeric data is defeated helps
Have that a carriage return operation, date format be incorrect, the date crosses the border behind angle numerical character, string data.This kind of data
Also to classify, it, can only be by writing the side of SQL statement for being similar to double byte character, having the problem of invisible character before and after data
Formula is found out, and client is then required to extract after operation system amendment.
Optionally, above-mentioned trust data further include Claims Resolution information and virtual family information, above-mentioned foundation above-mentioned standardization rule
Handling above-mentioned trust data includes:
Claims Resolution information and virtual family information for above-mentioned trust data carry out data desensitization process, the letter after being desensitized
Hold in the palm data；
It whether there is vacancy project in trust data after detecting above-mentioned desensitization；
If it exists, generate include above-mentioned vacancy project report, export above-mentioned report with prompt to above-mentioned vacancy project into
Row completion.
It can establish virtual account corresponding with the user each to participate in business in the terminal device, generate virtual account
Information, above-mentioned virtual account can be understood as system and carry out the character string used when rights management, trade management and statistical management
Mark；Wherein, the virtual account in the present embodiment is the character string with unique identification function, can at least be wrapped in the character string
Include the combination of character string corresponding with consumption trust type, trust mode type.When receiving the purchase from certain user for the first time
When information (processing request), which can automatically generate according to the essential information in the purchase information of above-mentioned user.
Above-mentioned Claims Resolution information can be the corresponding Claims Resolution information of virtual family information, i.e., may exist under one's name in virtual family information
Fund information relevant to Claims Resolution, transaction record, authentication information etc., for example may include the trust plan that user participates in
Make loans record, investment record etc..
Above-mentioned standard rule may include integrality investigation rule, for detecting the integrality of target data, Ke Yijian
The missing for finding data is omitted, and can carry out completion according to normalisation rule to the data that missing is omitted.
The data desensitization mentioned in the embodiment of the present application refers to and carries out data by desensitization rule to certain sensitive informations
The reliably protecting of privacy-sensitive data is realized in deformation.It is being related to the feelings of client secure data or some commercial sensitive datas
Under condition, under the conditions of not violating system convention, truthful data is transformed and test use is provided, such as identification card number, mobile phone
Number, the personal information such as card number, customer ID require to carry out data desensitization.One of Database security technology, Database security technology
Specifically include that database drain sweep, data base encryption, database firewall, data desensitization, database security auditing system.Data
Library security risk includes: to drag library, brush library, hit library.
Specifically, desensitization rule can be preset, above-mentioned desensitization rule may include for Claims Resolution information and virtual family
The desensitization field of information, and the processing for above-mentioned all kinds of desensitization fields.Desensitization rule, choosing can be set according to the actual situation
The data to desensitize are selected to be handled.
Pass through data desensitization process in trust field, the trust data obtained after desensitization process are not related to sensitive field, can
To improve Information Security, privacy of user is ensured.
203, whether the system version for judging above-mentioned trust data is target version.
Wherein, above-mentioned steps 203 can be with reference to the specific descriptions in the step 102 in embodiment illustrated in fig. 1, herein no longer
It repeats.
If the system version of above-mentioned trust data is not above-mentioned target version, step 204 can be executed；If above-mentioned trust number
According to system version be above-mentioned target version, can not execute step 204, execute step 207.
204, from the corresponding target transformation rule of acquisition above system version in transformation rule is prestored, turned according to above-mentioned target
It changes rule and above-mentioned trust data is converted to the target data for meeting above-mentioned target version format.
Wherein, above-mentioned steps 204 can refer to the specific descriptions in the step 103 of embodiment illustrated in fig. 1, no longer superfluous herein
It states.
205, the data label for obtaining above-mentioned trust data, obtains the corresponding pre-stored data template of above-mentioned data label, will
Above-mentioned target data and above-mentioned pre-stored data template carry out comparing, obtain data scoring.
Specifically, may determine that whether trust data meet quality of data requirement.It can store and be directed in terminal device
The pre-stored data template of different data can determine the corresponding pre-stored data mould used of the trust data by above-mentioned data label
Plate, the pre-stored data template may include the contents such as data structure template, data format template, also score comprising corresponding data
Rule, for example data formatting error button 1 divides, an item data project does not fill in 0.5 point of button etc..Getting above-mentioned pre-stored data mould
After plate, above-mentioned trust data and above-mentioned pre-stored data template can be subjected to comparing, given a mark to the trust data,
Obtain above-mentioned data scoring.Wherein it is possible to carry out comparing and scoring to all trust data once uploaded, can also divide
Group carries out comparing and scoring.
Step 206 and/or step 208 can be executed after obtaining above-mentioned data scoring.
206, judge whether above-mentioned data scoring is higher than the first score threshold.
After acquisition data scoring, it can be determined that whether above-mentioned data scoring is higher than above-mentioned first score threshold, if above-mentioned
Data scoring is higher than the first score threshold, then meets quality of data requirement, can execute step 207；If being not higher than, can execute
Step 208.
Optionally, multiple score thresholds can also be stored in terminal device, it, can be with by compared with the scoring of above-mentioned data
Determine the credit rating of trust data.For example the second score threshold higher than above-mentioned first scoring threshold value can be set, it can sentence
Whether above-mentioned data scoring of breaking is higher than the second score threshold, if the scoring of above-mentioned data is higher than the second score threshold, meets above-mentioned
The quality of data requires and quality of data grade is excellent, if the scoring of above-mentioned data is higher than above-mentioned first score threshold but not higher than upper
The second scoring threshold value is stated, meets above-mentioned quality of data requirement but quality of data grade is good.
207, according to above-mentioned tag along sort by above-mentioned target data classification storage.
Wherein, above-mentioned steps 207 can refer to the specific descriptions in the step 104 of embodiment illustrated in fig. 1, no longer superfluous herein
It states.
208, the sender of above-mentioned trust data, sender's hair of Xiang Shangshu trust data are determined according to above-mentioned source label
The feedback information for sending the data comprising above-mentioned target data to score.
Above-mentioned source label can be also used for determining the sender of trust data, for example sender address or sender use
Family account.The feedback information including the scoring of above-mentioned data can be generated in terminal device, can be to above-mentioned after determining sender
The sender of trust data sends the feedback information that the data comprising above-mentioned target data score.
Above-mentioned feedback information can also include processing moment of above-mentioned trust data, Data duplication rate, data qualification rate and/
Or the content etc. according to the above-mentioned target data of above-mentioned standard rule process.
Optionally, in the case where the scoring of above-mentioned data is higher than above-mentioned first score threshold, step 208 can also be executed.
Wherein, above-mentioned Data duplication rate is the ratio of the repeated data in above-mentioned target data, above-mentioned data qualification rate
For the ratio of above-mentioned standard data in above-mentioned target data.It, can clearly response data quality feelings by above-mentioned feedback information
Condition, can acquisition to data and processing effective reference is provided, convenient for user to the maintenance of data and data acquisition, data at
Reason system is improved.
In the embodiment of the present application, by obtaining trust data, wherein above-mentioned trust data include source label and contingency table
Label, the system version of above-mentioned trust data is determined according to above-mentioned source label, and the system version for obtaining above-mentioned trust data is corresponding
Normalisation rule, then according to the above-mentioned trust data of above-mentioned standard rule process, judge the system version of above-mentioned trust data
It whether is target version, if it is not, the corresponding target transformation rule of above system version is obtained in transformation rule from prestoring, according to upper
It states target transformation rule and above-mentioned trust data is converted to the target data for meeting above-mentioned target version format, can also obtain
The data label for stating trust data obtains the corresponding pre-stored data template of above-mentioned data label, by above-mentioned target data with it is above-mentioned
Pre-stored data template carries out comparing, obtains data scoring, and judges whether above-mentioned data scoring is higher than the first score threshold,
It,, can be true according to above-mentioned source label if being not higher than according to above-mentioned tag along sort by above-mentioned target data classification storage if being higher than
The sender of fixed above-mentioned trust data, the sender of Xiang Shangshu trust data send what the data comprising above-mentioned target data scored
Feedback information, it is possible to reduce the cost of the same set of merchant information of Multisystem maintenance assesses the quality of data, improves information one
Cause property.
Fig. 3 is referred to, Fig. 3 is a kind of structural schematic diagram of terminal device provided by the embodiments of the present application, the terminal device
300 include obtaining module 310, determining module 320, judgment module 330, conversion module 340 and memory module 350, in which:
Above-mentioned acquisition module 310, for obtaining trust data, wherein above-mentioned trust data include Claims Resolution information, virtual family
Information, source label and tag along sort；Above-mentioned determining module 320, for determining above-mentioned trust data according to above-mentioned source label
System version；
Above-mentioned judgment module 330, for judging whether the system version of above-mentioned trust data is target version；
Above-mentioned acquisition module 310 is also used to, if the system version of above-mentioned trust data is not above-mentioned target version, from prestoring
The corresponding target transformation rule of above system version is obtained in transformation rule；
Above-mentioned conversion module 340, for above-mentioned trust data are converted to according to above-mentioned target transformation rule meet it is above-mentioned
The target data of target version format；
Above-mentioned memory module 350, for according to above-mentioned tag along sort by above-mentioned target data classification storage.
Optionally, above-mentioned terminal device 300 further includes processing module 360；
Above-mentioned acquisition module 310 is also used to, above-mentioned judgment module 330 judge above-mentioned trust data system version whether
Before target version, the corresponding normalisation rule of system version of above-mentioned trust data is obtained；Above-mentioned processing module 360 is used
According to the above-mentioned trust data of above-mentioned standard rule process.
Optionally, above-mentioned trust data further include Claims Resolution information and virtual family information, and above-mentioned processing module 360 is specifically used
In:
Claims Resolution information and virtual family information for above-mentioned trust data carry out data desensitization process, the letter after being desensitized
Hold in the palm data；
It whether there is vacancy project in trust data after detecting above-mentioned desensitization；
If it exists, generate include above-mentioned vacancy project report, export above-mentioned report with prompt to above-mentioned vacancy project into
Row completion.
Optionally, above-mentioned target transformation rule includes format mapping rule；
Above-mentioned conversion module 340, is specifically used for:
Detect item field in above-mentioned trust data whether with template field matches；
If mismatching, above-mentioned unmatched item field is converted to and above-mentioned template word according to above-mentioned format mapping rule
The matched aiming field of section.
Optionally, above-mentioned tag along sort includes come into force equity label, Pending The Entry Into Force equity label and the equity label that failed；
Above-mentioned memory module 350, is specifically used for:
Equity calculated result is obtained according to above-mentioned target data and above-mentioned target equity computation rule；
According to above-mentioned tag along sort by above-mentioned target data and above-mentioned equity calculated result classification storage.
Optionally, above-mentioned terminal device 300 further includes grading module 370 and transmission module 370；
Above-mentioned acquisition module 310 is also used to, and obtains the data label of above-mentioned trust data, and it is corresponding to obtain above-mentioned data label
Pre-stored data template；Upper scoring module 370, for above-mentioned target data and above-mentioned pre-stored data template to be carried out data ratio
It is right, obtain data scoring；
Above-mentioned transmission module 380 is used for, and the sender of above-mentioned trust data is determined according to above-mentioned source label, to above-mentioned letter
The sender of data is ask to send the feedback information that the data comprising above-mentioned target data score.
Optionally, above-mentioned judgment module 330 is also used to, and judges whether above-mentioned data scoring is higher than the first score threshold；
Above-mentioned memory module 350 is specifically used for, if above-mentioned judgment module 330 judges that above-mentioned data scoring is higher than the first score
Threshold value, according to above-mentioned tag along sort by above-mentioned target data classification storage.
According to the specific embodiment of the embodiment of the present application, the step of Fig. 1 and data processing method shown in Fig. 2 are related to
101~104,201~208 modules that can be in terminal device 300 as shown in Figure 3 are performed.
By the terminal device 300 of the embodiment of the present application, the available trust data of terminal device 300, wherein above-mentioned letter
Holding in the palm data includes source label and tag along sort, the system version of above-mentioned trust data is determined according to above-mentioned source label, then sentence
Whether the system version for above-mentioned trust data of breaking is target version, if it is not, obtaining above system version in transformation rule from prestoring
Then above-mentioned trust data are converted to according to above-mentioned target transformation rule and meet above-mentioned target version by corresponding target transformation rule
The target data of this format, and according to above-mentioned tag along sort by above-mentioned target data classification storage, it is possible to reduce Multisystem maintenance
The cost of same set of merchant information improves consistency on messaging.
Referring to Fig. 4, Fig. 4 is the structural schematic diagram of another kind terminal device disclosed in the embodiment of the present application.Such as Fig. 4 institute
Show, which includes processor 401 and memory 402, wherein terminal device 400 can also include bus 403, place
Reason device 401 and memory 402 can be connected with each other by bus 403, and bus 403 can be Peripheral Component Interconnect standard
(Peripheral Component Interconnect, PCI) bus or expanding the industrial standard structure (Extended
Industry Standard Architecture, EISA) bus etc..Bus 403 can be divided into address bus, data/address bus,
Control bus etc..Only to be indicated with a thick line in Fig. 4, it is not intended that an only bus or a seed type convenient for indicating
Bus.Wherein, terminal device 400 can also include input-output equipment 404, and input-output equipment 404 may include display
Screen, such as liquid crystal display.Memory 402 is used to store one or more programs comprising instruction；Processor 401 is for calling
Method and step some or all of is mentioned in the above-mentioned Fig. 1 and Fig. 2 embodiment of the instruction execution being stored in memory 402.
It should be appreciated that in the embodiment of the present application, alleged processor 401 can be central processing unit (Central
Processing Unit, CPU), which can also be other general processors, digital signal processor (Digital
Signal Processor, DSP), specific integrated circuit (Application Specific Integrated Circuit,
ASIC), ready-made programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic
Device, discrete gate or transistor logic, discrete hardware components etc..General processor can be microprocessor or this at
Reason device is also possible to any conventional processor etc..
Input equipment 402 may include that Trackpad, fingerprint adopt sensor (for acquiring the finger print information and fingerprint of user
Directional information), microphone etc., output equipment 403 may include display (LCD etc.), loudspeaker etc..
The memory 404 may include read-only memory and random access memory, and to processor 401 provide instruction and
Data.The a part of of memory 404 can also include nonvolatile RAM.For example, memory 404 can also be deposited
Store up the information of device type.
By the terminal device 400 of the embodiment of the present application, the available trust data of terminal device 400, wherein above-mentioned letter
Holding in the palm data includes source label and tag along sort, the system version of above-mentioned trust data is determined according to above-mentioned source label, then sentence
Whether the system version for above-mentioned trust data of breaking is target version, if it is not, obtaining above system version in transformation rule from prestoring
Then above-mentioned trust data are converted to according to above-mentioned target transformation rule and meet above-mentioned target version by corresponding target transformation rule
The target data of this format, and according to above-mentioned tag along sort by above-mentioned target data classification storage, it is possible to reduce Multisystem maintenance
The cost of same set of merchant information improves consistency on messaging.
The embodiment of the present application also provides a kind of computer storage medium, wherein computer storage medium storage is for electricity
The computer program of subdata exchange, it is as any in recorded in above method embodiment which execute computer
A kind of some or all of data processing method step.
In the above-described embodiments, it all emphasizes particularly on different fields to the description of each embodiment, there is no the portion being described in detail in some embodiment
Point, reference can be made to the related descriptions of other embodiments.
In several embodiments provided herein, it should be understood that disclosed device, it can be by another way
It realizes.For example, the apparatus embodiments described above are merely exemplary, such as the division of the module, it is only a kind of
Logical function partition, there may be another division manner in actual implementation, such as multiple units or components can combine or can
To be integrated into another system, or some features can be ignored or not executed.Another point, shown or discussed is mutual
Coupling, direct-coupling or communication connection can be through some interfaces, the indirect coupling or communication connection of device or module,
It can be electrical or other forms.
The module as illustrated by the separation member may or may not be physically separated, aobvious as module
The component shown may or may not be physical module, it can and it is in one place, or may be distributed over multiple
On network module.Some or all of the modules therein can be selected to realize the mesh of this embodiment scheme according to the actual needs
's.
If the integrated module is realized in the form of software function module and sells or use as independent product
When, it can store in a computer-readable access to memory.Based on this understanding, technical solution of the present invention substantially or
Person says that all or part of the part that contributes to existing technology or the technical solution can body in the form of software products
Reveal and, which is stored in a memory, including some instructions are used so that a computer equipment
(can be personal computer, server or network equipment etc.) executes all or part of each embodiment the method for the present invention
Step.And memory above-mentioned includes: USB flash disk, read-only memory (Read-Only Memory, ROM), random access memory
The various media that can store program code such as (Random Access Memory, RAM), mobile hard disk, magnetic or disk.
Claims (10)
1. a kind of data processing method, which is characterized in that the described method includes:
Obtain trust data, wherein the trust data include source label and tag along sort, are determined according to the source label
The system version of the trust data, the system version are data processing system version used when the trust data generate
This；
Whether the system version for judging the trust data is target version；
If it is not, obtaining the corresponding target transformation rule of the system version in transformation rule from prestoring, converted according to the target
The trust data are converted to the target data for meeting the target version format by rule；
According to the tag along sort by the target data classification storage.
2. the method according to claim 1, wherein the system version for judging the trust data whether be
Before target version, the method also includes:
The corresponding normalisation rule of system version for obtaining the trust data, according to the normalisation rule processing trust
Data.
3. according to the method described in claim 2, it is characterized in that, the trust data further include Claims Resolution information and virtual family letter
Breath, it is described to include: according to the normalisation rule processing trust data
Claims Resolution information and virtual family information for the trust data carry out data desensitization process, the trust number after being desensitized
According to；
It whether there is vacancy project in trust data after detecting the desensitization；
If it exists, the report comprising the vacancy project is generated, exports the report to prompt to mend the vacancy project
Entirely.
4. according to the method described in claim 3, it is characterized in that, the target transformation rule includes format mapping rule；
It is described that the trust data are converted to the number of targets for meeting the target version format according to the target transformation rule
According to including:
Detect item field in the trust data whether with template field matches；
If mismatching, the unmatched item field is converted to and the template field according to the format mapping rule
The aiming field matched.
5. method according to claim 1-4, which is characterized in that the tag along sort includes the equity mark that come into force
Label, Pending The Entry Into Force equity label and the equity label that failed；
It is described according to the tag along sort by before the target data classification storage, the method also includes:
The corresponding target equity computation rule of the tag along sort is obtained in prestoring equity computation rule；
It is described to include: by the target data classification storage according to the tag along sort
Equity calculated result is obtained according to the target data and the target equity computation rule；
According to the tag along sort by the target data and the equity calculated result classification storage.
6. according to the method described in claim 5, it is characterized in that, described divide the target data according to the tag along sort
Before class storage, the method also includes:
The data label for obtaining the trust data obtains the corresponding pre-stored data template of the data label, by the target
Data and the pre-stored data template carry out comparing, obtain data scoring；
The sender of the trust data is determined according to the source label, it includes institute that the sender of Xiang Suoshu trust data, which sends,
State the feedback information of the data scoring of target data.
7. according to the method described in claim 6, it is characterized in that, the acquisition data scoring after, the method also includes:
Judge whether the data scoring is higher than the first score threshold；
If being higher than, trigger it is described according to the tag along sort by the target data classification storage the step of.
8. a kind of terminal device characterized by comprising obtain module, determining module, judgment module, conversion module and storage
Module, in which:
The acquisition module, for obtaining trust data, wherein the trust data include Claims Resolution information, virtual family information, come
Source label and tag along sort；The determining module, for determining the system version of the trust data according to the source label；
The judgment module, for judging whether the system version of the trust data is target version；
The acquisition module is also used to, if the system version of the trust data is not the target version, is advised from conversion is prestored
The corresponding target transformation rule of the system version is obtained in then；
The conversion module meets the target version for being converted to the trust data according to the target transformation rule
The target data of format；
The memory module, for according to the tag along sort by the target data classification storage.
9. a kind of terminal device, which is characterized in that including processor, input equipment, output equipment and memory, the processing
Device, input equipment, output equipment and memory are connected with each other, wherein the memory is for storing computer program, the meter
Calculation machine program includes program instruction, and the processor is configured for calling described program instruction, executes claim 1-7 such as and appoints
Method described in one.
10. a kind of computer storage medium, which is characterized in that the computer storage medium is stored with computer program, described
Computer program includes program instruction, and described program instruction makes the processor execute such as claim when being executed by a processor
The described in any item methods of 1-7.
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| CN201910423012.8A CN110263016A (en) | 2019-05-20 | 2019-05-20 | Data processing method, terminal device and computer storage medium |
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