CN110263024B - 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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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—Design, administration or maintenance of databases
- G06F16/215—Improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/23—Updating
- G06F16/2365—Ensuring data consistency and integrity
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/25—Integrating or interfacing systems involving database management systems
- G06F16/254—Extract, transform and load [ETL] procedures, e.g. ETL data flows in data warehouses
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/28—Databases characterised by their database models, e.g. relational or object models
- G06F16/284—Relational databases
- G06F16/285—Clustering or classification
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Abstract
The embodiment of the application discloses a data processing method, terminal equipment and a computer storage medium, which relate to the data processing and resource allocation technologies, wherein the method comprises the following steps: receiving a data processing request from a user terminal, wherein the data processing request comprises a classification tag, a request type, a processing value and a user tag, and determining a first item corresponding to the classification tag; acquiring user data of a target user corresponding to a user tag, wherein the user data carries a data identifier; acquiring a standardized rule corresponding to the data identifier; performing data cleaning on the user data according to the standardized rule to obtain standard data; acquiring preset auditing parameters of the first item, and auditing standard data of a target user; if the data is checked, the processing value is transferred according to the request type, and the residual value of the first item is updated after the transfer operation, so that the standard data can be obtained for carrying out the subsequent data analysis or processing process, the efficiency and accuracy of data processing can be improved, and the timeliness of item supervision can be improved.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to a data processing method, a terminal device, and a computer storage medium.
Background
At present, as the data volume is rapidly increased, the data quality of different data sources is irregular, the data quality has different concepts and standards, and the data quality generally comprises quantitative descriptions of accuracy, completeness, timeliness, consistency and the like of the data. For users in big data age, the data amount required to be stored and processed is large, the data source and the data structure are various and complex, and many challenges are brought to analysis and application of big data. Meanwhile, with the promotion of the general funds management consciousness of society, each related institution has a certain limitation on project supervision and data processing modes which can be acquired by users.
Disclosure of Invention
The embodiment of the application provides a data processing method, terminal equipment and a computer storage medium, which relate to data processing and resource allocation technologies, can conveniently obtain standard data for subsequent data analysis or processing, can improve the efficiency and accuracy of data processing and improve the timeliness of project supervision.
In a first aspect, an embodiment of the present application provides a data processing method, where the method includes:
Receiving a data processing request from a user terminal, wherein the data processing request comprises a classification tag, a request type, a processing value and a user tag, and determining a first item corresponding to the classification tag;
acquiring user data of a target user corresponding to the user tag, wherein the user data carries a data identifier;
obtaining a standardized rule corresponding to the data identifier, wherein the standardized rule comprises an integrity check rule and a format rule;
performing data cleaning on the user data according to the standardized rule to obtain standard data meeting the integrity check rule and the format rule;
acquiring preset auditing parameters of the first project, and auditing standard data of the target user based on the preset auditing parameters;
and if the standard data passes the audit, transferring the processing value according to the request type, and updating the residual value of the first item after the transfer operation.
As a possible implementation manner, in response to the situation that the standardized rule includes the integrity check rule, the performing data cleaning on the user data according to the standardized rule includes:
Detecting the similarity of data items in the user data, judging the data items to be repeated items if the similarity is higher than a first similarity threshold, and combining the data of the repeated items or deleting the data of one of the repeated items;
in response to the normalization rule comprising the format rule, the data cleansing of the user data according to the normalization rule comprises:
and detecting whether the item field in the user data is matched with the template field, and if not, converting the unmatched item field into a target field matched with the template field.
As a possible implementation manner, before the obtaining the user data of the target user corresponding to the user tag, the method further includes:
judging whether the residual value of the first item is smaller than the processing value;
if not, outputting feedback information containing the residual value of the first item, and responding to the feedback information, triggering the step of acquiring the user data of the target user corresponding to the user tag; if the request is smaller than the first prompt message, sending a first prompt message of failed request to the user terminal.
As a possible implementation manner, in a case where the request type is the first type, if the remaining value of the first item is smaller than the processing value, before the transferring the processing value according to the request type, the method further includes:
acquiring at least one associated item of the first item and a joint paying-out rule of the first item;
and providing the processing value from the remaining value of the associated item and the remaining value of the first item according to the joint payment rule.
As a possible implementation manner, before the acquiring the at least one associated item of the first item, the method further includes:
judging whether the associated item bound with the first item exists or not;
if so, the acquiring at least one associated item of the first item includes:
and acquiring a target associated item with the highest priority among the associated items of the first item.
As a possible implementation manner, in a case that the request type is the second type, the method further includes:
acquiring a residual value and a target threshold value of the first item, and judging whether the residual threshold value of the first item is smaller than the target threshold value;
If the value is smaller than the first item, generating an execution instruction containing the processing value, and responding to the execution instruction, and increasing the processing value in the residual value of the first item; and if the request is not smaller than the preset threshold, sending a second prompt message of failed request to the user terminal.
As a possible implementation manner, the method further comprises:
and if the residual value of the first item is not smaller than the target threshold value, acquiring a second item which is the same as the classification label of the first item, and sending the second item to the user terminal.
In a second aspect, an embodiment of the present application provides a terminal device, including: the device comprises a transmission module, a determination module, an acquisition module, a data processing module, a judgment module and a numerical value processing module, wherein:
the transmission module is used for receiving a data processing request from a user terminal, wherein the data processing request comprises a classification tag, a request type, a processing value and a user tag; the determining module is used for determining a first item corresponding to the classification label;
the acquisition module is used for acquiring user data of a target user corresponding to the user tag, wherein the user data carries a data identifier;
The acquisition module is further used for acquiring a standardized rule corresponding to the data identifier, wherein the standardized rule comprises an integrity check rule and a format rule;
the data processing module is used for carrying out data cleaning on the user data according to the standardized rule to obtain standard data meeting the integrity check rule and the format rule;
the judging module is used for acquiring preset auditing parameters of the first project and auditing standard data of the target user based on the preset auditing parameters;
and the numerical value processing module is used for transferring the processing numerical value according to the request type if the standard data passes the audit, and updating the residual numerical value of the first item after the transfer operation.
In a third aspect, an embodiment of the present application further provides a terminal device, including a processor, an input device, an output device, and a memory, where the processor, the input device, the output device, and the memory are connected to each other, and where the memory is configured to store a computer program, where the computer program includes program instructions, and where the processor is configured to invoke the program instructions to perform a method according to the first aspect and any possible implementation manner thereof.
In a fourth aspect, embodiments of the present application provide a computer storage medium storing a computer program comprising program instructions which, when executed by a processor, cause the processor to perform the method of the first aspect and any one of its possible embodiments.
According to the embodiment of the application, the data processing request from the user terminal is received, the data processing request comprises a classification tag, a request type, a processing value and a user tag, a first item corresponding to the classification tag is determined, user data of a target user corresponding to the user tag is obtained, the user data carries a data identifier, a standardized rule corresponding to the data identifier is obtained, the standardized rule comprises an integrity check rule and a format rule, the data of the user data is cleaned according to the standardized rule, standard data meeting the integrity check rule and the format rule is obtained, preset audit parameters of the first item are obtained, the standard data of the target user is audited based on the preset audit parameters, if the standard data passes the audit, the processing value is transferred according to the request type, the residual value of the first item is updated after the transfer operation, the standard data can be obtained for subsequent data analysis or processing process, the efficiency and accuracy of data processing can be improved, and the timeliness of item supervision can be improved.
Drawings
In order to more clearly illustrate the technical solution of the embodiments of the present application, the drawings that are needed in the description of the embodiments will be briefly described.
FIG. 1 is a schematic flow chart of a data processing method according to an embodiment of the present application;
FIG. 2 is a flow chart of a data processing method according to another embodiment of the present application;
fig. 3 is a schematic structural diagram of a terminal device according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of another terminal device according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all embodiments of the application. Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the application. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
The terms first, second and the like in the description and in the claims and in the above-described figures are used for distinguishing between different objects and not necessarily for describing a sequential or chronological order. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed steps or elements but may include other steps or elements not listed or inherent to such process, method, article, or apparatus.
It is also to be understood that the terminology used in the description of the application herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in this specification and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in the present specification and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes such combinations.
As used in this specification and the appended claims, the term "if" may be interpreted as "when..once" or "in response to a determination" or "in response to detection" depending on the context. Similarly, the phrase "if a determination" or "if a [ described condition or event ] is detected" may be interpreted in the context of meaning "upon determination" or "in response to determination" or "upon detection of a [ described condition or event ]" or "in response to detection of a [ described condition or event ]".
In order to better understand the embodiments of the present application, a method for applying the embodiments of the present application will be described below.
The terminal device mentioned in the embodiment of the present application is a device capable of communicating with a server, which is also referred to as a server, and is a device for providing a computing service, and may allow a plurality of terminal devices to access. The terminal devices include, but are not limited to, desktop computers, mobile terminals, which may include various handheld devices, wearable devices, computing devices or other processing devices connected to a wireless modem, as well as various forms of User Equipment (UE), mobile Station (MS), and the like.
Referring to fig. 1, a schematic flow chart of a data processing method according to an embodiment of the present application is shown in fig. 1, where the method may include:
101. and receiving a data processing request from the user terminal, wherein the data processing request comprises a classification label, a request type, a processing value and a user label, and determining a first item corresponding to the classification label.
Each enterprise or institution may engage in the same form of items as the user or other enterprises in providing services to the user. For example, when other enterprises have spare funds, the enterprises can pertinently invest the funds, and borrowers are appointed to conduct delegated loans and trusted loans; or in a group enterprise, to reduce the overall financing costs within the group, the funds within the group are transferred to designated borrowers within the group by a trusted authority.
The method in the embodiment of the application can be applied to a terminal device, which can communicate with other terminal devices (namely, the above-mentioned user terminals, such as mobile phones, computers and the like), and one or more items can be stored in the terminal device, and the items can be issued as a party of a delegate so as to enable the delegate meeting the conditions to participate.
The items in the embodiments of the present application may relate to the transfer of values, such as points or funds, and may specifically be a trusted program containing trusted loans, which refer to a financial service that a consignee accepts a principal's commitment, deposits funds from the principal, issues a loan according to its designated object, purpose, term, interest rate, amount, etc. in the trusted program, and is responsible for withdrawing the loan's principal. The principal has sufficient autonomy in terms of the object, the purpose and the like of issuing the loan, and meanwhile, the advantage of the trust company in terms of enterprise trust and fund management can be utilized, so that the fund safety is improved, and the fund use efficiency is improved.
The data processing request may be from a user terminal, and the classification tag in the data processing request includes the number or the name of the item, that is, the first item corresponding to the classification tag may be determined, and the participation processing of the first item is performed for the user. The request type may be understood as a specific transfer type of the processing value, and there may be various request types related to the item, such as a request type for acquiring the processing value, a request type for inputting the processing value into the item. The terminal device may store at least one item and a corresponding relation between a pre-stored classification tag and an item, when receiving the data processing request, may obtain the corresponding relation between the pre-stored classification tag and the item in response to the data processing request, and determine a first item corresponding to the classification tag according to the corresponding relation between the pre-stored classification tag and the trusted plan, and then may execute step 102.
Alternatively, the first item may be acquired first, the remaining value of the first item may be queried, the remaining value may be understood as the available credit, and the step 102 may be executed after outputting the available credit of the first item.
102. And acquiring user data of the target user corresponding to the user tag, wherein the user data carries a data identifier.
The terminal device may store user data, where the user data may include identity information, credit information, and/or historical transaction records pre-stored by the user.
The user tag may be a user ID, used for determining a user identity, and after determining a target user, may obtain user data of the target user, where the user data may specifically include basic materials such as a user name, an age, a working condition, a certificate number, a credit rating, and may also include a historical trust, a loan record, and the like.
The terminal equipment can determine the user applying for this time, namely the target user according to the user tag, and further acquire user data corresponding to the data identifier of the target user in a database or in a network.
Optionally, the user data may be acquired through authentication, that is, if the terminal device acquires the user data from other devices, a cloud network or a blockchain, the terminal device needs to be subjected to node authentication, and the user data can be acquired through authentication, so that data security is improved.
Optionally, before the obtaining the user data of the target user corresponding to the user tag, the method further includes:
judging whether the residual value of the first item is smaller than the processing value;
if not less than or equal to the preset value, outputting feedback information containing the residual value of the first item, and responding to the feedback information, triggering the step of acquiring the user data of the target user corresponding to the user tag; if the number is smaller than the preset value, a first prompt message of failed request can be sent to the user terminal to prompt the user that the residual number of the first item is insufficient and the user cannot apply for participating or executing the transaction.
After the user data of the target user is acquired, step 103 may be performed.
103. And obtaining a standardized rule corresponding to the data identifier, wherein the standardized rule comprises an integrity check rule and a format rule.
Prior to data analysis, we generally need to normalize (normalization) the data and use the normalized data for data analysis. Data normalization is the indexing of statistical data. The data normalization processing mainly comprises two aspects of data isotacticity processing and dimensionless processing. The data isotactics processing mainly solves the problem of data with different properties, and the direct summation of indexes with different properties can not correctly reflect the comprehensive results of different acting forces, and the inverse index data properties are considered to be changed first, so that all indexes can be used for isotactics of acting forces of an evaluation scheme, and then the summation can obtain correct results. The dimensionless data processing mainly solves the comparability of data. There are various methods for data normalization, and "min-max normalization", "Z-score normalization" and "decimal scale normalization" are commonly used. Through the standardization processing, the user data are converted into dimensionless index evaluation values, namely, all index values are in the same number level, and comprehensive evaluation analysis can be performed.
Mainly because of the continuous increase of the data volume, the original data framework may not be reasonable and the requirements of all aspects cannot be met. Such as data from P2P, banking, private, small loans, where the data standards, data identifications are inconsistent, and changes to the database, data structures, and thus the data itself, are required.
Data transcoding, also known as data transfer, is the process of changing data from one representation to another. In data transfer in medical insurance systems, there is a change of database, a change of data structure, and thus a conversion of data itself is required.
The corresponding relation between the data identifier and the standardized rule can be understood as a data conversion standard, and the standardized data transcoding is realized through the data conversion standard.
The data conversion criteria includes a complete set of schemes that enable data to be encoded in fields, records, and files for conversion over a given medium. The data model is a prerequisite for developing the encoding rules, and the intermediate nature of the transformation criteria is a major feature. All data can be effectively communicated after the conversion standard is optimized, and the product and the database structure can be effectively stored, applied and maintained after the optimization is performed.
The corresponding relation between the data identifiers and the standardized rules can be stored in the terminal equipment, namely, the data of different data identifiers are processed by using different standardized rules. By means of the data identification, the normalization rule to be used can be determined, and the normalization rule can be obtained, and step 104 can be performed.
104. And carrying out data cleaning on the user data according to the standardized rule to obtain standard data meeting the integrity check rule and the format rule.
The data transcoding process can be performed in a targeted manner due to the source of the acquired or stored user data.
Specifically, the terminal device stores in advance a standardized rule for performing standardized processing on data, and may have a plurality of rules, and stores a corresponding relationship between a data identifier and the standardized rule, and may obtain a standardized rule corresponding to the data identifier carried by the user data through the corresponding relationship between the data identifier and the standardized rule, and then execute a transcoding process by using the standardized rule.
Data cleansing (Data cleansing), a process of re-examining and checking Data, is aimed at deleting duplicate information, correcting errors present, and providing Data consistency.
The standardized rule may include an integrity check rule for detecting the integrity of the target data, may check for missing and missing data, and may complement the missing and missing data according to the standardized rule.
The above-described normalization rule may include a duplication check rule for detecting duplicated data in the target data, and duplicated data may be deleted.
The standardized rule may include a format rule according to which the format of the target data may be unified.
The standardized rule may further include processing of error data, where the error may be caused by the fact that the service system is not sound enough, and after receiving the input, the error is not judged to be directly written into the background database, for example, the numerical data is input into full-angle digital characters, the character string data is followed by a carriage return operation, the date format is incorrect, and the date is out of bounds. The data is classified, and for the problems similar to full-angle characters and invisible characters before and after the data, the problems can only be found out by writing SQL sentences, and then the clients are required to extract after the correction of a service system. The ETL operation failure can be caused by incorrect date format or date out-of-limit type errors, the type errors can be picked up by a service system database in an SQL mode, and the errors are submitted to a service administration department to require limit correction, and the errors are extracted after correction.
The target data is processed according to the normalization rule, mainly by performing normalization processing through the integrity check rule and the format rule, so that standard data satisfying the integrity check rule and the format rule can be obtained, and then step 105 can be performed.
Optionally, after the standard data is obtained, a subsequent data processing procedure may be performed on the standard data.
Alternatively, the standard data may be stored in the first space.
The standardized standard data can be identified by the system, and can be used for data analysis and processing and stored in a preset space for storage, so that the subsequent inquiry or call is facilitated.
105. And acquiring preset auditing parameters of the first item, and auditing the standard data of the target user based on the preset auditing parameters.
The step 103 and the step of obtaining the preset audit parameter may be performed in no sequence.
If the audit is passed, the target user meets the application condition of the first item, and step 106 may be executed; if the standard data does not meet the preset audit parameters, the target user does not meet the application condition of the first item, step 106 may not be executed, and feedback information of application failure may be sent to the terminal device.
After the preset auditing parameters corresponding to each item are stored in the terminal equipment and the first item is determined, the preset auditing parameters of the first item can be obtained, wherein the preset auditing parameters can be parameters of the content to be audited when the first item is applied for in advance, and a user can also obtain and browse on the user terminal. When the standard data is obtained, the standard data may be checked according to the preset audit parameter, that is, the preset audit parameter may include one or more application audit items and requirements thereof, and the items in the standard data of the user corresponding to the application audit items are obtained and compared to determine whether the target user meets the application conditions of the first item, if so, step 106 may be executed; if not, the request failure information can be fed back to the user terminal, and which application examination is not satisfactory can be output.
Specifically, the standard data may include identity information and credit score of the target user;
the method may further comprise: verifying the identity information of the target user, and if the verification is passed, determining a target scoring threshold value in the preset auditing parameters;
Judging whether the credit score of the target user is higher than the target score threshold value;
if the target user is higher than the first item, the target user meets the application condition of the first item; if not, the target user does not meet the application condition of the first item.
The verification of the identity information can be completed through digital signature and biological information identification. Under the condition that the identity information verification is passed, a target scoring threshold value preset in the first application rule can be obtained, whether the credit score of the target user is higher than the target scoring threshold value is further judged, and if so, the target user accords with the application condition of the first item; if not, the target user does not meet the application condition of the first item. The application condition may be, but is not limited to, auditing the information such as the historical transaction record of the user, the amount of the loan, the loanable amount of the user, etc.
106. And if the standard data passes the audit, transferring the processing value according to the request type, and updating the residual value of the first item after the transferring operation.
The data processing request includes the processing value, that is, the input value of the target user participating in the first item, where the first item may include a value transfer mode, an additional value, an effective time, and the like, and the terminal device may execute the value transfer according to a preset processing rule of the first item and the processing value in the data processing request, and may update the available credit of the trusted plan when the transaction is completed.
For example, if the request type of the data processing request is the first type, and the remaining value of the first item is greater than 0, the first item may be implemented, that is, a customer who satisfies the application condition may apply for the lending of the first item, and the audit and application are similar to the foregoing method, and the applied loan amount may be transferred to the customer account once or in several times.
Optionally, the predetermined items may further include a predicted total value, which may be set by the value processing mechanism, and may be understood as a funding target value. If the request type of the data processing request is the second type, if the remaining value of the first item is not less than the estimated total value, that is, the value provider (fund party) of the first item has completed the maximum value, the request of the second type is not processed.
Specifically, when the item is a trusted plan, the client generates a trusted agreement when determining to participate in the trusted plan, generates a transaction record when each transaction (actual payment) includes the processing value, calculates the latest remaining value through the trusted agreement and the processing value, and can update the available credit of the first item, generate and output first prompt information including the updated first available credit, or periodically monitor the available credit of the trusted plan, send the first prompt information to the user terminal, and prompt the available credit of the trusted plan in time, thereby preventing the situation that the client has insufficient funds when applying for using the trusted plan as a loan fund source.
According to the embodiment of the application, the data processing request from the user terminal is received, the data processing request comprises a classification tag, a request type, a processing value and a user tag, a first item corresponding to the classification tag is determined, user data of a target user corresponding to the user tag is obtained, the user data carries a data identifier, a standardized rule corresponding to the data identifier is obtained, the standardized rule comprises an integrity check rule and a format rule, the data of the user data is cleaned according to the standardized rule, standard data meeting the integrity check rule and the format rule is obtained, preset audit parameters of the first item are obtained, the standard data of the target user is audited based on the preset audit parameters, if the standard data passes the audit, the processing value is transferred according to the request type, the residual value of the first item is updated after the transfer operation, the standard data can be obtained for subsequent data analysis or processing process, the efficiency and accuracy of data processing can be improved, and the item supervision performance can be improved.
Referring to fig. 2, which is a schematic flow chart of another data processing method according to an embodiment of the present application, the embodiment shown in fig. 2 may be obtained based on the embodiment shown in fig. 1, and the method may include, as shown in fig. 2:
201. And receiving a data processing request from the user terminal, wherein the data processing request comprises a classification label, a request type, a processing value and a user label, and determining a first item corresponding to the classification label.
The above step 201 may refer to the specific description of step 101 in the embodiment shown in fig. 1, which is not repeated here.
202. Judging whether the residual value of the first item is smaller than the processing value.
When the request for paying money is received, the remaining value of the first item can be queried, and whether enough remaining value is used for executing the value transfer processing is determined by judging whether the remaining value of the first item is smaller than the processing value. If the remaining value of the first item is less than the processing value, step 203 may be performed; if the remaining value of the first item is not less than the processing value, step 205 may be performed.
As a possible implementation manner, in response to the situation that the standardized rule includes the integrity check rule, the method further includes performing data cleansing on the user data according to the standardized rule, which may specifically include:
detecting the similarity of data items in the user data, judging that the data items are repeated items if the similarity is higher than a first similarity threshold value, and combining the data of the repeated items or deleting the data of one of the repeated items;
In response to the normalization rule comprising the format rule, the data cleansing of the user data according to the normalization rule comprises:
detecting whether the item field in the user data is matched with the template field, if not, converting the unmatched item field into a target field matched with the template field.
203. And if the remaining value of the first item is smaller than the processing value, acquiring at least one associated item of the first item and the joint payment rule of the first item.
In the case where the remaining values of the first item are insufficient, another value providing method may be selectively performed.
Specifically, the associated item of the first item, that is, the trust plan similar to the type or consistent with the numerical source approach (such as funding party) can be set as the associated item, and whether or not an item has and which corresponding associated item has can be determined through the association identifier.
In an alternative embodiment, the associated items may be trusted plans of different companies or funding parties, and only needs to confirm the cooperative transaction agreement in advance, so that the parties can achieve the terms of joint payment, such as the joint payment may be applied when the available amount is less than a certain amount, and the amount may be temporarily borrowed.
Optionally, before the obtaining at least one associated item of the first item, the method further includes:
judging whether the associated item bound with the first item exists or not;
if so, the acquiring at least one associated item of the first item includes:
and acquiring a target associated item with highest priority among the associated items of the first item.
In an optional implementation manner, a joint payment threshold may be set, a remaining value of the associated item is determined first, and if the remaining value of the associated item is greater than the joint payment threshold, a subsequent payment task may be executed in conjunction with the associated item; if the combined payment is not greater than the preset value, the combined payment is not executed, and when at least two associated items exist, another associated item can be reselected to be judged and combined payment processing is performed.
Further optionally, when the remaining value of the first item is insufficient, for example, less than the target payment amount specified by the user, other items may be recommended to the user, that is, at least one other item with a remaining value greater than the target payment amount is obtained as a recommended item, and recommendation information including the recommended item may be generated and output or sent to the user terminal of the client, so as to facilitate the development of the service and the recommendation of the candidate product to the client.
The associated items can be set to be priority in the process of joint payment, and when the joint payment is required, the associated items with high priority can be preferentially acquired and used as target associated items to execute the joint payment processing.
The first trust plan with the bound associated trust plan is also preset with the joint payment rule, and the joint payment in the trust plan can be accurately carried out through the joint payment rule and the corresponding associated trust plan.
In an alternative embodiment, the terminal device may obtain the trusted agreement in the trusted program, basic information of the principal (client), etc., verify the legitimacy of the trusted agreement to determine the principal identity and user preferences, and recommend a suitable trusted product for it.
For example, the basic information may include borrowing information of a plurality of borrowers: the principal credit limit, the loan period, the loan start date, the expiration date, the method of interest, the way of interest, the number of interest, the charge rate, the management fee, the trusted bank, the principal loan commission fee, and the way of charge (staged payment and one-time payment). Wherein the principal funds can be transferred into the loan account once or in multiple times, so that a payment record can be generated after the transaction is completed, and the payment record can comprise currency, payment time, payment amount and the like.
After obtaining the associated item corresponding to the first item and the joint payment rule of the first item, step 204 may be performed.
204. Providing the processing value from the remaining value of the associated item and the remaining value of the first item according to the joint payment rule.
Specifically, the joint payment rule may specify a payment condition, a payment manner, a payment proportion, and the like of the first item and the associated item during joint payment, so that the processing value may be paid together from the remaining value of the associated item and the remaining value of the first item according to the joint payment rule, and the processing value may be transferred to an account corresponding to the user tag (target account number).
After the above processing is completed, a transaction record may be generated and stored in the terminal device, or transaction completion information including the transaction record may be transmitted to the user terminal.
Specifically, optionally, the available amount of the associated item may be obtained, and it is determined whether the sum of the available amount of the associated item and the available amount of the first item is greater than the payoff amount;
if the fund amount is larger than the fund amount, the related item and the first item meet the fund basic condition of the combined payment, and the payment processing of the payment request can be jointly executed from the available amount of the related item and the available amount of the first item; if the fund is not greater than the fund basic condition of the joint payment is not met by the associated item and the first item, and the joint payment cannot be executed. Optionally, the associated item with the second highest priority may be obtained from the associated items as the target associated item, and the above-mentioned determination process is repeated, so as to obtain the associated item with sufficient available credit to perform joint payment, which may make the payment processing more flexible.
For example, when a payment instruction for a target account is received, the payment instruction may further include a trusted plan a in which the user participates and a payment amount required to be paid by a fund party in the trusted plan a, and when the payment amount is greater than an available amount of the trusted plan a, an associated item b of the trusted plan may be obtained, and the payment amount may be paid from a portion of the available amount of the associated item b, which is not applied for.
Optionally, under the condition of combined payment, a combined payment record can be generated for storage so as to check the transaction record, and the fund party of the first project can compensate the fund party of the associated project under the condition that the fund parties are different, and specifically, the amount of the payment by the associated project during the return of the combined payment can be calculated.
Optionally, in the case that the request type of the data processing request is the second type, the processing value may be understood as an investment amount, and the method further includes:
acquiring the residual value of the first item and a target threshold value, and judging whether the residual threshold value of the first item is smaller than the target threshold value;
if the value is smaller than the first item, generating an execution instruction containing the processing value, and increasing the processing value in the residual value of the first item in response to the execution instruction; and if the request is not smaller than the preset threshold, sending a second prompt message of failed request to the user terminal.
Specifically, the pre-established project may further include a pre-estimated target threshold value in the crowd funding stage, and the trust plan may be set by the trust authority and may be understood as a funding target amount. When the remaining value of the first item is smaller than the target threshold, an investment request of the user may be received, that is, the user may participate in the first item as a fund party, and transfer processing of the processing value may be performed according to the investment request, specifically, transfer processing of the processing value may be performed for receiving the transfer processing of the processing value, and the investment amount may be transferred to the available credit of the first item. And in case the remaining value of the first item is not less than the target threshold, i.e. the funding party of the first item has already completed the target threshold, no further data processing requests of the second type are processed.
Further optionally, if the remaining value of the first item is not less than the target threshold, a second item identical to the classification label of the first item is acquired, and the second item is sent to the user terminal.
The classification labels of the items may be preset, such as classification according to risk types (e.g., low, medium, high risk) or investment field types (e.g., science and technology, education). And when the available limit of the first item is not smaller than the target threshold, a second item which is the same as the classification label of the first item can be obtained, and the second item is sent to the user terminal so as to recommend the items of the same type to the user for selection, so that the investment is more flexible, and the pushing and positioning are accurate.
205. And acquiring preset auditing parameters of the first item, and auditing the standard data of the target user based on the preset auditing parameters.
If the audit is passed, step 206 may be performed. If not, step 206 is not performed.
206. And if the standard data passes the audit, transferring the processing value according to the request type, and updating the residual value of the first item after the transferring operation.
The above step 205 and step 206 may refer to the specific descriptions in step 105 and step 106 in the embodiment shown in fig. 1, and are not described herein.
The embodiment of the application receives a data processing request from a user terminal, wherein the data processing request comprises a classification label, a request type, a processing value and a user label, determines a first item corresponding to the classification label, judges whether the residual value of the first item is smaller than the processing value, acquires at least one associated item of the first item and a joint payment rule of the first item if the residual value of the first item is smaller than the processing value, provides the processing value from the residual value of the associated item and the residual value of the first item according to the joint payment rule, acquires a preset audit parameter of the first item, and if the standard data passes the audit, transferring the processing value according to the request type, updating the residual value of the first item after the transferring operation, unifying a data structure, obtaining standard data to perform a subsequent data analysis or processing process, improving the efficiency and accuracy of data processing, improving the timeliness of item supervision, facilitating the realization of diversified value transferring and management tasks, and particularly, performing diversified loan transaction based on a trust plan, thereby realizing the diversification of fund sources, flexible allocation of credit and reasonable loan flow.
Referring to fig. 3, fig. 3 is a schematic structural diagram of a terminal device according to an embodiment of the present application, where the terminal device 300 includes a transmission module 310, a determination module 320, an acquisition module 330, a data processing module 340, a judgment module 350, and a numerical processing module 360, where:
the transmission module 310 is configured to receive a data processing request from a user terminal, where the data processing request includes a class tag, a request type, a processing value, and a user tag; the determining module 320 is configured to determine a first item corresponding to the classification tag;
the acquiring module 330 is configured to acquire user data of a target user corresponding to the user tag, where the user data carries a data identifier;
the obtaining module 330 is further configured to obtain a standardized rule corresponding to the data identifier, where the standardized rule includes an integrity check rule and a format rule;
the data processing module 340 is configured to perform data cleaning on the user data according to the standardized rule, so as to obtain standard data that satisfies the integrity check rule and the format rule;
the judging module 350 is configured to obtain a preset auditing parameter of the first item, and audit standard data of the target user based on the preset auditing parameter;
The value processing module 360 is configured to transfer the processing value according to the request type if the standard data passes the audit, and update the remaining value of the first item after the transfer operation.
Optionally, the data processing module 340 is further configured to:
detecting the similarity of data items in the user data in response to the condition that the standardized rule comprises the integrity check rule, judging that the data items are duplicate items if the similarity is higher than a first similarity threshold value, and merging the data of the duplicate items or deleting the data of one of the duplicate items;
and in response to the condition that the standardized rule comprises the format rule, detecting whether the item field in the user data is matched with the template field, and if not, converting the unmatched item field into a target field matched with the template field.
Optionally, the determining module 350 is further configured to determine whether the remaining value of the first item is less than the processing value before the obtaining module 330 obtains the user data of the target user corresponding to the user tag;
if not, outputting feedback information containing the residual value of the first item; if the request is smaller than the first prompt message, sending a first prompt message of failed request to the user terminal;
The numerical processing module 360 is specifically configured to trigger, in response to the feedback information, a step of acquiring user data of the target user corresponding to the user tag.
Optionally, the obtaining module 330 is further configured to, if the request type is the first type, obtain at least one associated item of the first item and a joint payment rule of the first item before the value processing module 360 transfers the processing value according to the request type if the remaining value of the first item is less than the processing value;
the value processing module 360 is specifically configured to provide the processing value from the remaining value of the associated item and the remaining value of the first item according to the joint payment rule.
Optionally, the determining module 350 is further configured to determine whether the associated item bound to the first item exists before the obtaining module 330 obtains at least one associated item of the first item;
if so, the acquiring module 330 is specifically configured to acquire the target associated item with the highest priority among the associated items of the first item.
Optionally, the obtaining module 330 is further configured to obtain the remaining value of the first item and the target threshold value when the request type is the second type;
The determining module 350 is specifically configured to determine whether the remaining threshold of the first item is less than the target threshold; if the processing value is smaller than the processing value, generating an execution instruction containing the processing value; and if the request is not smaller than the preset threshold, sending a second prompt message of failed request to the user terminal.
The value processing module 360 is specifically configured to increase the processing value among the remaining values of the first item in response to the execution instruction.
Optionally, the obtaining module 330 is further configured to obtain a second item that is the same as the classification tag of the first item if the remaining value of the first item is not less than the target threshold, and send the second item to the user terminal.
According to a specific implementation of the embodiment of the present application, steps 101 to 106, 201 to 206 related to the data processing method shown in fig. 1 and fig. 2 may be performed by respective modules in the terminal device 300 shown in fig. 3.
Through the terminal device 300 of the embodiment of the application, the terminal device 300 can receive a data processing request from a user terminal, the data processing request comprises a classification tag, a request type, a processing value and a user tag, a first item corresponding to the classification tag is determined, user data of a target user corresponding to the user tag is obtained, the user data carries a data identifier, a standardized rule corresponding to the data identifier is obtained, the standardized rule comprises an integrity check rule and a format rule, the user data is subjected to data cleaning according to the standardized rule, standard data meeting the integrity check rule and the format rule is obtained, preset check parameters of the first item are obtained, the standard data of the target user is checked based on the preset check parameters, if the standard data passes the check, the processing value is transferred according to the request type, the residual value of the first item is updated after the transfer operation, the standard data can be obtained for subsequent data analysis or processing, the data processing efficiency and accuracy of the data processing can be improved, and the timeliness of the item can be improved.
Referring to fig. 4, fig. 4 is a schematic structural diagram of another terminal device according to an embodiment of the present application. As shown in fig. 4, the terminal device 400 includes a processor 401 and a memory 402, wherein the terminal device 400 may further include a bus 403, the processor 401 and the memory 402 may be connected to each other through the bus 403, and the bus 403 may be a peripheral component interconnect standard (Peripheral Component Interconnect, PCI) bus or an extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus, etc. The bus 403 may be classified into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in fig. 4, but not only one bus or one type of bus. The terminal device 400 may further include an input/output device 404, where the input/output device 404 may include a display screen, such as a liquid crystal display screen. Memory 402 is used to store one or more programs that include instructions; the processor 401 is arranged to invoke instructions stored in the memory 402 to perform some or all of the method steps mentioned in the embodiments of fig. 1 and 2 above.
It should be appreciated that in embodiments of the present application, the processor 401 may be a central processing unit (Central Processing Unit, CPU), which may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSPs), application specific integrated circuits (Application Specific Integrated Circuit, ASICs), off-the-shelf programmable gate arrays (Field-Programmable Gate Array, FPGAs) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The input device 402 may include a touch pad, a fingerprint sensor (for collecting fingerprint information of a user and direction information of a fingerprint), a microphone, etc., and the output device 403 may include a display (LCD, etc.), a speaker, etc.
The memory 404 may include read only memory and random access memory and provide instructions and data to the processor 401. A portion of memory 404 may also include non-volatile random access memory. For example, memory 404 may also store information of device type.
Through the terminal device 400 of the embodiment of the application, the terminal device 400 can receive a data processing request from a user terminal, the data processing request comprises a classification tag, a request type, a processing value and a user tag, a first item corresponding to the classification tag is determined, user data of a target user corresponding to the user tag is obtained, the user data carries a data identifier, a standardized rule corresponding to the data identifier is obtained, the standardized rule comprises an integrity check rule and a format rule, the user data is subjected to data cleaning according to the standardized rule, standard data meeting the integrity check rule and the format rule is obtained, preset check parameters of the first item are obtained, the standard data of the target user is checked based on the preset check parameters, if the standard data passes the check, the processing value is transferred according to the request type, the residual value of the first item is updated after the transfer operation, the standard data can be obtained for subsequent data analysis or processing, the data processing efficiency and accuracy of the data processing can be improved, and the timeliness of the item can be improved.
The embodiment of the present application also provides a computer storage medium storing a computer program for electronic data exchange, the computer program causing a computer to execute part or all of the steps of any one of the data processing methods described in the above method embodiments.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to related descriptions of other embodiments.
In the several embodiments provided by the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, such as the division of the modules, merely a logical function division, and there may be additional manners of dividing actual implementations, such as multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or modules, which may be in electrical or other forms.
The modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical modules, i.e., may be located in one place, or may be distributed over a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
The integrated modules, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable memory. Based on this understanding, the technical solution of the present invention may be embodied essentially or partly in the form of a software product, or all or part of the technical solution, which is stored in a memory, and includes several instructions for causing a computer device (which may be a personal computer, a server, a network device, or the like) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned memory includes: a U-disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing program codes.
Claims (7)
1. A method of data processing, the method comprising:
receiving a data processing request from a user terminal, wherein the data processing request comprises a classification tag, a request type, a processing value and a user tag, and determining a first item corresponding to the classification tag;
judging whether the residual value of the first item is smaller than the processing value;
if not, outputting feedback information containing the residual value of the first item, and responding to the feedback information, triggering and acquiring user data of a target user corresponding to the user tag; if the request is smaller than the first prompt message, sending a first prompt message of failed request to the user terminal;
acquiring user data of a target user corresponding to the user tag, wherein the user data carries a data identifier;
obtaining a standardized rule corresponding to the data identifier, wherein the standardized rule comprises an integrity check rule and a format rule;
and performing data cleaning on the user data according to the standardized rule to obtain standard data meeting the integrity check rule and the format rule, wherein responding to the condition that the standardized rule comprises the integrity check rule, performing data cleaning on the user data according to the standardized rule comprises: detecting the similarity of data items in the user data, judging the data items to be repeated items if the similarity is higher than a first similarity threshold, and combining the data of the repeated items or deleting the data of one of the repeated items; in response to the normalization rule comprising the format rule, the data cleansing of the user data according to the normalization rule comprises: detecting whether an item field in the user data is matched with a template field, if not, converting the unmatched item field into a target field matched with the template field;
Acquiring preset auditing parameters of the first project, and auditing standard data of the target user based on the preset auditing parameters;
if the standard data passes the audit, and if the request type is the first type, if the residual value of the first item is smaller than the processing value, acquiring at least one associated item of the first item and a joint payment rule of the first item, and providing the processing value from the residual value of the associated item and the residual value of the first item according to the joint payment rule;
and transferring the processing value according to the request type, and updating the residual value of the first item after the transfer operation.
2. The method of claim 1, wherein prior to the obtaining the at least one associated item of the first item, the method further comprises:
judging whether the associated item bound with the first item exists or not;
if so, the acquiring at least one associated item of the first item includes:
and acquiring a target associated item with the highest priority among the associated items of the first item.
3. The method of claim 1, wherein in the event that the request type is a second type, the method further comprises:
Acquiring a residual value and a target threshold value of the first item, and judging whether the residual threshold value of the first item is smaller than the target threshold value;
if the value is smaller than the first item, generating an execution instruction containing the processing value, and responding to the execution instruction, and increasing the processing value in the residual value of the first item; and if the request is not smaller than the preset threshold, sending a second prompt message of failed request to the user terminal.
4. A method according to claim 3, characterized in that the method further comprises:
and if the residual value of the first item is not smaller than the target threshold value, acquiring a second item which is the same as the classification label of the first item, and sending the second item to the user terminal.
5. A terminal device, comprising: the device comprises a transmission module, a determination module, an acquisition module, a data processing module, a judgment module and a numerical value processing module, wherein:
the transmission module is used for receiving a data processing request from a user terminal, wherein the data processing request comprises a classification tag, a request type, a processing value and a user tag; the determining module is used for determining a first item corresponding to the classification label;
The judging module is used for judging whether the residual numerical value of the first item is smaller than the processing numerical value, if not, outputting feedback information containing the residual numerical value of the first item, and responding to the feedback information, triggering and acquiring user data of a target user corresponding to the user tag; if the request is smaller than the first prompt message, sending a first prompt message of failed request to the user terminal;
the acquisition module is used for acquiring user data of a target user corresponding to the user tag, wherein the user data carries a data identifier;
the acquisition module is further used for acquiring a standardized rule corresponding to the data identifier, wherein the standardized rule comprises an integrity check rule and a format rule;
the data processing module is used for cleaning the data of the user data according to the standardized rule to obtain standard data meeting the integrity check rule and the format rule, wherein the data processing module is further used for responding to the condition that the standardized rule comprises the integrity check rule, detecting the similarity of data items in the user data, judging that the data items are duplicate items if the similarity is higher than a first similarity threshold, and combining the data of the duplicate items or deleting the data of one of the duplicate items; detecting whether an item field in the user data is matched with a template field or not in response to the condition that the standardized rule comprises the format rule, and if not, converting the unmatched item field into a target field matched with the template field;
The judging module is further used for acquiring preset auditing parameters of the first project and auditing the standard data of the target user based on the preset auditing parameters;
the numerical value processing module is used for updating the residual numerical value of the first item after the transfer operation if the standard data passes the audit and transfers the processing numerical value according to the request type;
the obtaining module is further configured to obtain at least one associated item of the first item and a joint payment rule of the first item if the remaining value of the first item is smaller than the processing value in the case that the request type is the first type;
the numerical processing module is further configured to provide the processing numerical value from the remaining numerical value of the associated item and the remaining numerical value of the first item according to the joint payment rule.
6. A terminal device comprising a processor, an input device, an output device and a memory, the processor, the input device, the output device and the memory being interconnected, wherein the memory is adapted to store a computer program comprising program instructions, the processor being configured to invoke the program instructions to perform the method of any of claims 1-4.
7. A computer storage medium storing a computer program comprising program instructions which, when executed by a processor, cause the processor to perform the method of any of claims 1-4.
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