CN111986030A - Data processing method, data processing device, storage medium and computer equipment - Google Patents

Data processing method, data processing device, storage medium and computer equipment Download PDF

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CN111986030A
CN111986030A CN202010909264.4A CN202010909264A CN111986030A CN 111986030 A CN111986030 A CN 111986030A CN 202010909264 A CN202010909264 A CN 202010909264A CN 111986030 A CN111986030 A CN 111986030A
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data
sub
item
current version
screening
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CN111986030B (en
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厉泽平
刘腾飞
雷选平
吕祎娜
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Hebei Happy Consumption Finance Co ltd
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Hebei Happy Consumption Finance Co ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/04—Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/10—File systems; File servers
    • G06F16/16—File or folder operations, e.g. details of user interfaces specifically adapted to file systems
    • G06F16/162—Delete operations
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/10—File systems; File servers
    • G06F16/17—Details of further file system functions
    • G06F16/172—Caching, prefetching or hoarding of files
    • 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
    • G06F16/24—Querying
    • G06F16/245—Query processing
    • G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
    • G06F16/2462—Approximate or statistical queries
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
    • 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 invention provides a data processing method and device, a storage medium and computer equipment applied to an asset screening device of an asset securitization system, and relates to the field of financial science and technology. The method comprises the following steps: receiving first filtering information through a first control, wherein the first filtering information comprises: the first total value is a value corresponding to the first screening index; calculating a first sub-item value of each sub-item according to the first screening information; acquiring first aggregation data of each sub-item from the aggregation data version corresponding to the version number according to the first sub-item value of each sub-item; the method comprises the steps that current version set data are locally constructed and cached in a file form according to first set data of sub items, and a current version number, a last version number of the current version and an initial version number are added to the current version set data; and counting and displaying the statistical index value of the current version collection data. By the method provided by the embodiment of the invention, multi-dimensional and multi-thread asset screening can be carried out, and the asset screening efficiency is improved.

Description

Data processing method, data processing device, storage medium and computer equipment
Technical Field
The invention relates to the field of financial science and technology, in particular to a data processing method, a data processing device, a storage medium and computer equipment applied to an asset securitization system.
Background
The securitization of assets is one of the most important and rapidly developing financial innovative tools in the world financial field in the last three decades. As an important financing means, the use of asset securitization in foreign countries has become quite common.
Asset screening is an important ring in asset securitization, which is particularly important for asset securitization systems. Most of the current asset screening is single-dimension and single-thread processing, for example, 1000 ten thousand assets need to be screened, a user may first designate a main index, for example, beijing, and screen out 1000 ten thousand assets from the index of "beijing". If the assets under the index of Beijing are not more than 1000 million, such as only 700 million, the user can release some indexes and re-screen, for example, the auxiliary index of Shanghai can be designated, and the rest 300 million assets are screened out from the auxiliary index of Shanghai to be used as supplement to the assets under the main index of Beijing.
However, the current single-dimension and single-thread processing mode has complex business operation, long processing flow and poor real-time experience of users. Therefore, how to simplify the business operation and perform efficient asset screening becomes a technical problem to be solved urgently.
Disclosure of Invention
The embodiment of the invention provides a data processing method, a data processing device, a storage medium and computer equipment applied to an asset securitization system, and aims to solve the problems of complex business operation and long processing flow when the asset securitization system performs asset screening in the prior art.
In one aspect, an embodiment of the present invention provides a data processing method, where the method is applied to an asset screening device of an asset securitization system, and the method includes:
receiving first filtering information through a first control, wherein the first filtering information comprises: the first total value is a value corresponding to the first screening index;
calculating a first sub-item value of each sub-item according to the first screening information;
acquiring first aggregation data of each sub-item from the aggregation data version corresponding to the version number according to the first sub-item value of each sub-item;
the method comprises the steps that current version set data are locally constructed and cached in a file form according to first set data of sub items, and a current version number, a last version number of the current version and an initial version number are added to the current version set data;
and counting and displaying the statistical index value of the current version collection data.
In one implementation of this embodiment, the total value is a package credit value.
In an implementation manner of this embodiment, the method further includes:
in response to a first operation of a user on a second control, packaging and storing the current version set data into a system database;
deleting the cached other versions of the aggregated data.
In an implementation manner of this embodiment, the method further includes:
receiving, by the second control, a first statistical indicator and a threshold value of the first statistical indicator;
responding to a first operation of a user on the second control, and calculating a first statistical index value of the current version set data;
judging the size of the first statistical index value and the threshold value of the first statistical index;
and grouping the current version set data according to the judgment result and storing the current version set data in a system database.
In one implementation of the present embodiment,
the first screening criteria include: a first dimension index and a second dimension index;
the calculating the first sub-item value of each sub-item according to the first screening information comprises:
calculating the weight of each sub-item according to the weight of a first dimension index and the weight of a second dimension index, wherein the sub-items are cross dimension items of the first dimension index and the second dimension index;
and calculating a first sub-item numerical value of each sub-item according to the total numerical value and the weight of each sub-item.
In an implementation manner of this embodiment, the method further includes:
receiving collection index information through a third control, wherein the collection index information comprises first attribute information;
acquiring first data source information from a first data source according to the first attribute information, wherein the first data source information comprises first attribute information and second attribute information;
acquiring second data source information related to the first data source information from a second data source according to second attribute information of the first data source information;
according to the first data source information and the second data source information, initial version set data are locally constructed and cached in a file form, an initial version number is added to the initial version set data, the initial version set data comprise a plurality of asset data, and one asset data comprises one piece of first data source information and second data source information related to the first data source information.
In one implementation of the present embodiment,
the first attribute information includes: a product number;
the first data source information includes: asset information;
the second attribute information includes: a client ID;
the second data source information includes: customer details.
In an implementation manner of this embodiment, the method further includes:
in response to a first operation of a user on a fourth control, returning the current version set data to a previous version set data of the current version set data;
receiving second filtering information through the first control, wherein the second filtering information comprises: a second total value, a second screening metric, and a second weight of the second screening metric;
calculating a second sub-item value of each sub-item according to the second screening information;
acquiring second collection data of each sub-item from the previous version of collection data according to the second sub-item value of each sub-item;
and reconstructing locally according to the second aggregation data of each sub-item, caching the current version aggregation data in a file form, and adding a current version number, a last version number of the current version and an initial version number to the current version aggregation data.
In an implementation manner of this embodiment, the method further includes:
in response to a second operation of the user on the fourth control, returning the current version set data to the initial version set data of the current version set data;
receiving third filtering information through the first control, wherein the third filtering information comprises: a third total value, a third screening metric, and a third weight for the third screening metric;
calculating a third sub-item numerical value of each sub-item according to the third screening information;
acquiring third aggregation data of each sub item from the initial version aggregation data version according to the third sub item value of each sub item;
and locally constructing and caching the current version set data in a file form according to the third set data of each sub-item, and adding a current version number, a last version number of the current version and an initial version number to the current version set data.
In another aspect, an embodiment of the present invention provides a data processing apparatus, where the apparatus is applied to an asset securitization system, and the data processing apparatus includes:
the screening information receiving module is used for receiving first screening information through a first control, and the first screening information comprises: the first total value is a value corresponding to the first screening index;
the sub-item numerical value calculation module is used for calculating a first sub-item numerical value of each sub-item according to the first screening information;
the sub-item collection data acquisition module is used for acquiring first collection data of each sub-item from the collection data version corresponding to the version number according to the first sub-item value of each sub-item;
the current version set data construction module is used for constructing locally according to the first set data of each sub item, caching the current version set data in a file form, and adding a current version number, a last version number of the current version and an initial version number to the current version set data;
and the statistic display module is used for counting and displaying the statistic index value of the current version collection data.
In one implementation of the present embodiment,
the total value is the package monetary value.
In an implementation manner of this embodiment, the apparatus further includes:
the packaging module is used for packaging and storing the current version collection data into a system database in response to a first operation of a user on the second control;
and the deleting module is used for deleting the cached other version collection data.
In an implementation manner of this embodiment, the apparatus further includes:
the statistical index information acquisition module is used for receiving the first statistical index and the threshold value of the first statistical index through the second control;
the first statistical index value calculation module is used for responding to a first operation of a user on the second control and calculating a first statistical index value of the current version set data;
the judging module is used for judging the first statistical index value and the threshold value of the first statistical index;
and the packaging module is also used for packaging the data collected by the current version according to the judgment result and storing the data in a system database.
In one implementation of the present embodiment,
the first screening criteria include: a first dimension index and a second dimension index;
the sub-item numerical value calculation module comprises:
the weight calculation unit is used for calculating the weight of each sub-item according to the weight of a first dimension index and the weight of a second dimension index, wherein the sub-items are cross dimension items of the first dimension index and the second dimension index;
and the sub-item numerical value calculating unit is used for calculating a first sub-item numerical value of each sub-item according to the total numerical value and the weight of each sub-item.
In an implementation manner of this embodiment, the apparatus further includes:
the collecting index information acquisition module is used for receiving collecting index information through a third control, and the collecting index information comprises first attribute information;
the first data source information acquisition module is used for acquiring first data source information from a first data source according to the first attribute information, wherein the first data source information comprises first attribute information and second attribute information;
the second data source information acquisition module is used for acquiring second data source information related to the first data source information from a second data source according to second attribute information of the first data source information;
and the initial version set data construction module is used for constructing and caching initial version set data according to the first data source information and the second data source information, and adding an initial version number to the initial version set data, wherein the initial version set data comprises a plurality of pieces of asset data, and one piece of asset data comprises one piece of first data source information and second data source information related to the first data source information.
In one implementation of the present embodiment,
the first attribute information includes: a product number;
the first data source information includes: asset information;
the second attribute information includes: a client ID;
the second data source information includes: customer details.
In an implementation manner of this embodiment, the apparatus further includes:
the first rollback module is used for responding to a first operation of a user on the fourth control, and rolling back the current version of the collected data to a previous version of the collected data of the current version of the collected data;
the screening information receiving module is further configured to receive second screening information through the first control, where the second screening information includes: a second total value, a second screening metric, and a second weight of the second screening metric;
the sub-item numerical value calculation module is further used for calculating a second sub-item numerical value of each sub-item according to the second screening information;
the sub-item set data acquisition module is used for acquiring second set data of each sub-item from the previous version set data according to a second sub-item value of each sub-item;
the current version set data construction module is also used for constructing and caching the current version set data in a file form according to the second set data of each sub item, and adding a current version number, a last version number of the current version and an initial version number to the current version set data.
In an implementation manner of this embodiment, the apparatus further includes:
the second rollback module is used for responding to a second operation of the user on the fourth control, and rolling back the current version set data to the initial version set data of the current version set data;
the screening information receiving module is configured to receive third screening information through the first control, where the third screening information includes: a third total value, a third screening metric, and a third weight for the third screening metric;
the sub-item numerical value calculation module is used for calculating a third sub-item numerical value of each sub-item according to the third screening information;
the sub-item collection data acquisition module is used for acquiring third collection data of each sub-item from the initial version collection data version according to a third sub-item value of each sub-item;
the current version set data construction module is further used for constructing and caching current version set data according to the third set data of each sub item, and adding a current version number, a last version number of the current version and an initial version number to the current version set data.
In still another aspect, an embodiment of the present invention provides a computer-readable storage medium, on which computer-readable instructions are stored, where the computer-readable instructions can be executed by a processor to implement the data processing method according to any one of the above embodiments.
In another aspect, an embodiment of the present invention provides a computer device, including:
a memory having a computer program stored thereon;
a processor for executing the computer program to implement the data processing method according to any one of the above embodiments.
According to the embodiment of the invention, the sub-item numerical value of each sub-item is calculated according to the screening information, and the collection data of each sub-item is respectively screened from the collection data version corresponding to the version number according to the sub-item numerical value of each sub-item, so that the collection data of the current version is screened out. Compared with the prior art of single-dimensional and single-threaded data screening, the embodiment of the invention can carry out multi-dimensional and multi-threaded screening on the basis of the data screening source specified by the user, shorten the service flow of the data screening, simplify the service operation and improve the efficiency of the data screening.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only drawings of some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a flow chart of a data processing method according to a first embodiment of the present invention;
FIG. 2 is a flowchart of a data processing method according to a second embodiment of the present invention;
FIG. 3 is a flowchart of a data processing method according to a third embodiment of the present invention;
FIG. 4 is a flowchart of a data processing method according to a fourth embodiment of the present invention;
FIG. 5 is a method flowchart of a data processing method according to a fifth embodiment of the present invention;
fig. 6 is a block diagram of a data processing apparatus according to a sixth embodiment of the present invention.
Detailed Description
In order to better understand the technical scheme, the technical scheme is described in detail in the following with the combination of the drawings and the specific embodiments.
Example one
The embodiment provides a data processing method applied to an asset screening device of an asset securitization system. It is to be understood that "first" and "second" are used herein to distinguish different pieces of information or different components, for example, a first input of a screening index, a second input of a screening index, a weight of a first input of a screening index, a weight of a second input of a screening index, a sub-item value calculated from a first input of a screening index and a weight, a sub-item value calculated from a second input of a screening index and a weight, which are not used to represent quantities.
Fig. 1 shows a flowchart of a data processing method according to a first embodiment of the present invention. The data processing method provided by the embodiment is applied to an asset screening device of an asset securitization system. As shown in fig. 1, the method of this embodiment includes:
s101: receiving first filtering information through a first control, wherein the first filtering information comprises: a version number, a first total value, a first screening indicator, and a first weight of the first screening indicator.
The first control may be a control on a front-end user interface of the asset filtering apparatus, which may provide options such as a text box, a drop-down box, and the like for a user to input the filtering information. The input filtering information (first filtering information, second filtering information, or third filtering information) may include: a version number, which may indicate the version of the aggregated data that is the source of the data screening; a total value that may indicate a package amount of the asset pack; a screening indicator, which may be indicative of a screening condition. The screening index may include a plurality of indexes, such as an index a, an index B, an index C, and the like, and a weight of each index may be specified by a user.
S102: and calculating a first sub-item value of each sub-item according to the first screening information.
The asset screening device may calculate the weight of each sub-item according to the weight of the first dimension index and the weight of the second dimension index, and then calculate the sub-item value of each sub-item according to the total value in the first screening information and the weight of each sub-item. In the present embodiment, the sub-item refers to an intersecting dimension item of the first dimension index and the second dimension index.
For example, the user inputs four screening indexes of X1, X2, Y1 and Y2, where X1 and X2 are horizontal indexes and Y1 and Y2 are vertical indexes, and the sub items are X1Y1, X2Y1, X1Y2 and X2Y 2. If X1 is 0.6, X2 is 0.4, Y1 is 0.5, and Y2 is 0.5, then the sub-terms X1Y1, X2Y1, X1Y2, and X2Y2 are 0.3, 0.2, 0.3, and 0.2, respectively. If the total number is 1000, the first sub-entry of each sub-entry is 300, 200, respectively.
It can be understood that the screening indexes can be divided into indexes of multiple dimensions according to the dimensions to which the screening indexes belong, such as a first dimension index, a second dimension index, and a third dimension index. The asset screening device may calculate a weight of each sub-item according to the weight of each dimension index, and then calculate a first sub-item value of each sub-item according to the total value and the weight of each sub-item, where each sub-item is a cross dimension item between each dimension index.
For example, the user inputs five screening indexes of X1, X2, Y1, Y2 and Z1, wherein X1 and X2 are first dimension indexes, Y1 and Y2 are second dimension indexes, and Z1 is a third dimension index, and the sub items are X1Y1Z1, X2Y1Z1, X1Y2Z1 and X2Y2Z1, respectively. If X1 is 0.6, X2 is 0.4, Y1 is 0.5, Y2 is 0.5, and Z1 is 1, the weights of the sub-terms X1Y1Z1, X2Y1Z1, X1Y2Z1, and X2Y2Z1 are 0.3, 0.2, 0.3, and 0.2, respectively, and the first sub-term value of each sub-term is 300, 200, 300, and 200, respectively.
Specifically, if the package amount value (i.e., the total value) input by the user is 1000 ten thousand, the first dimension index is the areas "beijing" and "shanghai", the weights are 0.6 and 0.4, respectively, the second dimension index is "age between 30 and 40", the weight is 1, the third dimension index is gender "male", and the weight is 1, the sub-items under the screening information are "beijing area and age between 30 and 40 and gender male" and "shanghai area and age between 30 and 40 and gender male", respectively, and the sub-item values of the sub-items are 600 ten thousand and 400 ten thousand, respectively.
S103: and acquiring the first aggregation data of each sub-item from the aggregation data version corresponding to the version number according to the first sub-item value of each sub-item.
After obtaining the sub-item values of the sub-items, the asset screening device may screen the aggregation data of the sub-items according to the sub-item values of the sub-items, respectively. The screening of the data collected by each sub-item is independent, and the data can be simultaneously and concurrently processed in multiple threads.
The collected data version corresponding to the version number is a data screening source, and for a sub-item, the asset screening device can screen the asset data meeting the sub-item from the data screening source, and then screen the asset data meeting the sub-item value of the sub-item in total from the asset data meeting the sub-item by taking the sub-item value of the sub-item as a target sum value, so as to form the collected data of the sub-item. The collection data of one sub item is a collection of a plurality of pieces of asset data, and the total sum value of all the asset data in the collection data of the sub item is equal to the sub item value of the sub item.
For example, in the collection data version with version number a, an asset data set satisfying the condition of "men between 30 and 40 years old in beijing area" may be screened, and then a plurality of pieces of asset data may be screened from the asset data set as collection data of a sub-item "men between 30 and 40 years old in beijing area" with 600 ten thousand as a target value, where the sum of the screened pieces of asset data is equal to 600 ten thousand.
S104: and locally constructing and caching the current version set data in a file form according to the first set data of each sub-item, and adding a current version number, a last version number of the current version and an initial version number to the current version set data.
After screening the aggregation data for each sub-item, the asset screening device may aggregate the aggregation data for each sub-item to form current version aggregation data. That is, the current version of the album data includes a plurality of sub items of the album data, one sub item of the album data includes a plurality of pieces of asset data, and the current version of the album data is a set of the plurality of pieces of asset data. After forming the current version aggregation data, the asset screening device may invoke the ID generator to generate the version number of the current version in a unified format according to the ID generation rule, for example, the version number of the current version may be generated in a manner of generation time + sequence number, for example, 202008201. And then adding the current version number, the last version number of the current version and the initial version number to the collection data of the current version.
The previous version of the current version is a data screening source of the data collected by the current version, namely a parent version of the current version. For example, if the current version of the collection data is screened from the collection data version with the version number of 202008201, the last version number of the current version of the collection data is 202008201. The initial version of the aggregated data is the first version of the aggregated data stored locally, which is the full asset data version of a product. The method of constructing the initial version of the collection data will be described in detail below.
S105: and counting and displaying the statistical index value of the current version collection data.
After the current version of the collected data is constructed, the asset screening device may calculate and display values of common default statistical indexes of the current version of the collected data, such as an average asset term, an average asset remaining term, and the like, on a front-end user interface, so that a user can confirm whether the current version of the collected data meets requirements.
In this embodiment, the sub-item values of the sub-items are calculated according to the screening indexes of the multiple dimensions, and the collection data of the sub-items are respectively screened from the collection data version corresponding to the version number according to the sub-item values of the sub-items, so that the collection data of the current version is screened out. Compared with the prior art of single-dimensional and single-thread data screening, the invention can carry out multi-dimensional and multi-thread screening on the basis of the data screening source appointed by the user, shorten the service flow of the data screening, simplify the service operation and improve the efficiency of the data screening.
Further, if the requirement is met, the user can confirm through a second control provided by a front-end user interface of the asset screening device. The second control can provide options such as a confirmation button and the like, so that the user can click and confirm. In response to a confirmation operation of the user, for example, an operation of clicking a confirmation button in the second control, the asset screening apparatus of this embodiment may package and store the current version in the collection data packet to the system database. The cached other version of the aggregated data is then deleted.
Further, if the user cannot determine whether the current version of the collected data meets the requirement according to the displayed default statistical index value, the user may further specify a statistical index (i.e., a first statistical index) and a statistical index threshold (i.e., a threshold of the first statistical index). For example, a specified statistical indicator and a threshold value of the specified statistical indicator are input through the second control, and the input is confirmed through the second control. In addition to the confirmation button, the second control of the present embodiment may provide options such as a drop-down box, a text input box, and the like, so that the user can input or select the statistical indicator and the threshold value of the statistical indicator. The statistical index specified by the user can be a statistical index which the user wants to perform statistics, and the threshold value of the statistical index can be a target threshold value which the user wants to achieve. After inputting the statistical indicator and the statistical indicator threshold, the user may click a confirmation button of the second control to confirm.
In response to a first operation of the second control by the user, such as an operation of clicking a confirmation button, the asset screening device of this embodiment may further obtain a specified statistical index input by the user, then calculate a value of the specified statistical index of the current version of the collected data, then determine whether the value of the specified statistical index of the current version of the collected data is equal to a threshold value of the specified statistical index input by the user, if so, package and store the current version of the collected data in the system database, and if not, package and prompt the user. In another embodiment, the asset screening device may further compare the value of the specified statistical indicator of the current version of the collected data with the threshold value of the specified statistical indicator input by the user, and determine whether to package the current version of the collected data according to the value of the specified statistical indicator of the current version of the collected data and the threshold value of the specified statistical indicator input by the user, for example, package the current version of the collected data when the value of the specified statistical indicator of the current version of the collected data is greater than the threshold value of the specified statistical indicator input by the user.
Further, if the current version set data does not meet the user requirements, the user can adjust the first screening information through the first control provided by the asset screening device, and reassign the version number, the screening indexes and the weights of the screening indexes. Therefore, the asset screening device can screen the collected data of another version from the collected data versions specified by the user and then see whether the collected data of the other version meets the requirements. And if the other version of the collected data meets the requirement, packaging and storing the other version of the collected data into the system database, and deleting the other version of the collected data.
Of course, the user may not specify the version number at this time. When the user does not specify the version number, the asset screening device can use the current version set data as a data screening source to screen on the basis of the current version set data.
For example, if the current version of the collected data is filtered according to the first filtering information input by the user. If the current version set data does not meet the user requirement, the user can adjust the first screening information, such as adjusting the indexes of screening and the weights of the indexes, wherein the version number is not specified. At this time, the asset screening device of this embodiment may use the current version of the collected data as a data screening source, and screen out another version of the collected data from the current version of the collected data according to the screening information adjusted by the user. If the user's requirements are not yet met by another version of the aggregated data, the user may adjust the first filtering information again, while still not specifying a version number. The asset screening device can screen the other version of the collected data from the other version of the collected data according to the readjusted screening information until the screened collected data meets the requirements of the user.
The selected version of the aggregation data is cached locally in a file form, that is, the asset screening device according to this embodiment locally stores a plurality of versions of the historical aggregation data in a file form, and each version of the aggregation data is marked with a current version number of a current version, a previous version number of the current version, and an initial version number.
In the process of screening assets with large data volume, users often need frequent adjustment, in the embodiment, multi-version historical collected data is cached locally through a file form, and a current version number, a last version number of the current version and an initial version number are marked, so that a data screening source can be conveniently backed to any previously screened version collected data, screening is continued on the basis of any previously screened version collected data, and repeated screening from the basis of the initial version collected data every time is avoided. The rollback operation will be described in detail in the following embodiments.
Example two
Fig. 2 shows a flow chart of a data processing method according to a second embodiment of the invention. The method provided by this embodiment is applied to an asset screening device of an asset securitization system, as shown in fig. 2, in addition to the data processing method described in the first embodiment, the data processing method further includes:
s201: and returning the current version set data to the previous version set data of the current version set data in response to the first operation of the fourth control by the user.
And if the current version set data does not meet the requirements of the user, the user can perform backspacing operation through a fourth control provided by the asset screening device. The fourth control may provide a rollback option for the user to select to rollback the current version of the aggregated data to a previous version of the current version of the aggregated data, or to rollback the current version of the aggregated data to an initial version of the current version of the aggregated data. If the user selects the previous version of the collected data of the current version of the collected data with the current version of the collected data backspacing value, the user can respond to the selection, and the user can backspace the previous version of the collected data of the current version of the collected data according to the previous version number of the collected data of the current version, so that the data screening source is switched to the previous version of the collected data of the current version of the collected data.
S202: receiving second filtering information through the first control, wherein the second filtering information comprises: a second total value, a second screening metric, and a second weight of the second screening metric.
After rollback, the data screening source switches to the previous version of the aggregated data for the current version of the aggregated data. The user can adjust the screening information and re-input the adjusted screening information, namely the second screening information, through the first control. Unlike the first filtering information, in the second filtering information, the version number may not be specified, for example, only the total value, the filtering index, and the weight of the filtering index are specified, so that the data filtering is performed on the basis of the collected data of the previous version. The total value (i.e., the second total value) specified in the second filtering information may be the same as or different from the total value (i.e., the first total value) specified in the first filtering information.
S203: and calculating a second sub-item value of each sub-item according to the second screening information.
After receiving the second filtering information, the second sub-item value of each sub-item may be calculated according to the second filtering information, for example, the second weight of each sub-item may be calculated according to the weight of each second filtering index, and then the second sub-item value of each sub-item may be calculated according to the second total value and the second weight of each sub-item. The method for calculating the second sub-item value of each sub-item according to the second screening information is the same as the method for calculating the first sub-item value of each sub-item according to the first screening information, and is not described herein again.
S204: and acquiring second collection data of each sub-item from the previous version collection data according to the second sub-item value of each sub-item.
The second sub-item value is calculated as the target value of the sub-item corresponding to the second sub-item. After the second sub-item value of each sub-item is calculated, the second aggregation data of each sub-item can be respectively screened out from the asset data of each sub-item by taking the second sub-item value of each sub-item as a target money amount.
S205: and locally constructing and caching the current version set data in a file form according to the second set data of each sub-item, and adding a current version number, a last version number of the current version and an initial version number to the current version set data.
The current version set data can be reconstructed according to the second set data of each sub-item, and the current version number, the last version number of the current version and the initial version number are added to the current version set data.
By the method provided by the embodiment, the user can continuously rollback until the user rolls back to the collection data version which is required to be used as the data screening source. By the method, a user can return to any collection data version established in history, so that the user can switch the data screening source to any history collection data version without knowing the version number and screen data based on any history collection data version.
EXAMPLE III
Fig. 3 shows a flow chart of a data processing method according to a third embodiment of the invention. The method provided by the embodiment is used in an asset screening device of an asset securitization system, and as shown in fig. 3, in addition to the data processing methods described in the first embodiment and the second embodiment, the data processing method further includes:
s301: and returning the current version set data to the initial version set data of the current version set data in response to a second operation of the fourth control by the user.
If the current version set data does not meet the requirements of the user, the user can select to return the current version set data to the initial version set data of the current version set data through a fourth control provided by the asset screening device. In response to the selection of the user, the current version set data may be rolled back to the initial version set data according to the initial version number of the current version set data, and the data screening source is switched to the initial version set data of the current version set data.
S302: receiving third filtering information through the first control, wherein the third filtering information comprises: a third total value, a third screening metric, and a third weight for the third screening metric.
After rollback, the data screening source switches to the initial version of the aggregated data for the current version of the aggregated data. Then, the user can adjust the screening information and re-input the adjusted screening information, i.e., the third screening information, through the first control. Similarly to the second filtering information, in the third filtering information, the version number may not be specified, for example, only the total value, the filtering index, and the weight of the filtering index are specified, so that the data filtering is performed on the basis of the initial version of the aggregated data.
S303: and calculating a third sub-item numerical value of each sub-item according to the third screening information.
S304: and acquiring third aggregation data of each sub item from the initial version aggregation data according to the third sub item value of each sub item.
S305: and locally constructing and caching the current version set data in a file form according to the third set data of each sub-item, and adding a current version number, a last version number of the current version and an initial version number to the current version set data.
Except for the data filtering sources, the specific processing methods of steps S302 to S305 in this embodiment are similar to the specific processing methods of steps S202 to S205 in the second embodiment, and are not described herein again.
By the method provided by the embodiment, the user can directly switch the data screening source to the initial version set data, and the backspacing in one layer is avoided, so that the backspacing time is saved, and the user experience is improved.
Example four
Fig. 4 shows a flow chart of a data processing method according to a fourth embodiment of the invention. The data processing method of the embodiment can be applied to an asset screening device of an asset securitization system. As shown in fig. 4, in addition to the methods described in the first embodiment, the second embodiment, and the third embodiment, the data processing method described in this embodiment further includes:
s401: and receiving the collection index information through a third control, wherein the collection index information comprises first attribute information.
S402: acquiring first data source information from a first data source according to the first attribute information, wherein the first data source information comprises first attribute information and second attribute information;
s402: acquiring second data source information related to the first data source information from a second data source according to second attribute information of the first data source information;
s404: and constructing and caching initial version set data according to the first data source information and the second data source information, and adding an initial version number to the initial version set data, wherein the initial version set data comprises a plurality of pieces of asset data, and one piece of asset data comprises one piece of first data source information and second data source information related to the first data source information.
Specifically, when the user constructs the initial version of the aggregation data, the aggregation index information may be input through a third control provided by the asset screening apparatus. The aggregation index information may specify a primary index of the primary version of the aggregation data to be created, e.g., which product the primary version of the aggregation data is directed to, from which organization, which organization is to be output, etc. After the aggregation index information is received, the asset screening device described in this embodiment may acquire asset data from a third-party data source by the aggregation index information, and further construct initial version aggregation data from the set of acquired asset data.
In one implementation manner of the embodiment, different information of the asset data may be stored in different third-party data sources, for example, the asset information of the asset data may be stored in a first data source (a data source of the accounting center system) and stored according to the product number. Customer details of the asset data may be stored in a second data source (e.g., a data source of a customer center system) and stored according to the customer ID. After receiving the aggregation index information, the asset screening device may obtain a product number (i.e., first attribute information) from the aggregation index information, further obtain asset information of all assets under the product number from the first data source according to the product number, further obtain detailed information of a client to which the asset belongs from the second data source according to a client ID (i.e., second attribute information) in the asset information, and further package the asset information of an asset and the detailed information of the client to which the asset belongs into an asset data. And finally, constructing a plurality of pieces of asset data locally and caching initial version set data in a file form, wherein the initial version set data stores the asset data of the full amount of assets under the product number specified by the user.
The method and the device skip the interaction with the third-party system, directly acquire the third-party data source information from the data source of the third-party system, construct the initial version set data locally according to the third-party data source information and cache the initial version set data in a file form, enable the user to screen on the basis of the locally cached initial version set data, avoid the user from screening data from the third-party system every time, and improve the screening efficiency.
EXAMPLE five
FIG. 5 shows a flow chart of a data processing method applied in an asset screening device of an ABS asset securitization system. The data processing method according to the above embodiment will be further described with reference to the figure.
As shown in fig. 5, the data processing method according to this embodiment includes:
s501: acquiring a product number input by a user;
s502: acquiring asset information of all asset data under the product number from a financial center data source according to the product number, wherein the asset information comprises: product number and customer ID;
s503: acquiring customer detailed information of a customer to which the asset data belongs from a customer center data source according to a customer ID in the asset information;
s504: packaging one piece of asset information and client detailed information of a client to which the asset information belongs into one piece of asset data, and locally constructing and caching initial version collection data in a file form according to a plurality of sets of asset data;
s505: switching the data screening source into the initial version collection data;
s506: acquiring the package amount, the screening index and the weight of the screening index input by a user;
s507: calculating the amount of each sub item according to the packet amount, the screening indexes and the weight of the screening indexes;
s508: screening the collected data of each sub item from the data screening source according to the amount of each sub item;
s509: the method comprises the steps that current version set data are built and cached locally in a file form according to set data of sub items, and a current version number, a last version number of a current version and an initial version number are added to the current version set data;
s510: counting the value of a set statistical index of the current version set data;
s511: judging whether the value of the specified statistical index is larger than the set value, if so, switching to S512, otherwise, switching the data source to the current version of the collected data, and switching to S506 for continuous screening;
s512: and grouping the current version into a data packet and storing the data packet into a system database.
In S511, the version number input by the user may be received, the data screening source is switched to the collection data version corresponding to the version number input by the user, and then the process goes to S506 to continue screening.
In addition, in S511, an instruction of the user to return to the previous version may also be received, the data screening source is switched to the previous version of the collected data of the current version of the collected data, and then the process goes to S506 to continue screening.
In addition, in S511, an instruction of the user to rollback to the initial version may also be received, the data filtering source is switched to the initial version of the current version of the collected data, and then the process goes to S506 to continue filtering.
EXAMPLE six
The embodiment provides a data processing device applied to an asset securitization system, and the data processing device can be used for carrying out asset screening. Fig. 6 shows a block schematic diagram of a data processing apparatus according to a sixth embodiment of the present invention. As shown in fig. 6, the data processing apparatus 10 according to the present embodiment includes:
a filtering information receiving module 11, configured to receive first filtering information through a first control, where the first filtering information includes: the first total value is a value corresponding to the first screening index;
a sub-item value calculating module 12, configured to calculate a first sub-item value of each sub-item according to the first screening information;
a sub-item collection data obtaining module 13, configured to obtain, according to the first sub-item value of each sub-item, first collection data of each sub-item from the collection data version corresponding to the version number;
the current version set data construction module 14 is configured to construct locally according to the first set data of each sub-item, cache the current version set data in a file form, and add a current version number, a previous version number of the current version, and an initial version number to the current version set data;
and the statistic display module 15 is configured to count and display the statistical index value of the current version set data.
Wherein the total value is the package monetary value.
In an implementation manner of this embodiment, the apparatus further includes:
the packaging module is used for packaging and storing the current version collection data into a system database in response to a first operation of a user on the second control;
and the deleting module is used for deleting the cached other version collection data.
In an implementation manner of this embodiment, the apparatus further includes:
the statistical index information acquisition module is used for receiving the first statistical index and the threshold value of the first statistical index through the second control;
the first statistical index value calculation module is used for responding to a first operation of a user on the second control and calculating a first statistical index value of the current version set data;
the judging module is used for judging the first statistical index value and the threshold value of the first statistical index;
and the packaging module is also used for packaging the data collected by the current version according to the judgment result and storing the data in a system database.
In one implementation of the present embodiment,
the first screening criteria include: a first dimension index and a second dimension index;
the sub-item numerical value calculation module comprises:
the weight calculation unit is used for calculating the weight of each sub-item according to the weight of a first dimension index and the weight of a second dimension index, wherein the sub-items are cross dimension items of the first dimension index and the second dimension index;
and the sub-item numerical value calculating unit is used for calculating a first sub-item numerical value of each sub-item according to the total numerical value and the weight of each sub-item.
In an implementation manner of this embodiment, the apparatus further includes:
the collecting index information acquisition module is used for receiving collecting index information through a third control, and the collecting index information comprises first attribute information;
the first data source information acquisition module is used for acquiring first data source information from a first data source according to the first attribute information, wherein the first data source information comprises first attribute information and second attribute information;
the second data source information acquisition module is used for acquiring second data source information related to the first data source information from a second data source according to second attribute information of the first data source information;
and the initial version set data construction module is used for constructing and caching initial version set data according to the first data source information and the second data source information, and adding an initial version number to the initial version set data, wherein the initial version set data comprises a plurality of pieces of asset data, and one piece of asset data comprises one piece of first data source information and second data source information related to the first data source information.
In one implementation of the present embodiment,
the first attribute information includes: a product number;
the first data source information includes: asset information;
the second attribute information includes: a client ID;
the second data source information includes: customer details.
In an implementation manner of this embodiment, the apparatus further includes:
the first rollback module is used for responding to a first operation of a user on the fourth control, and rolling back the current version of the collected data to a previous version of the collected data of the current version of the collected data;
the screening information receiving module is further configured to receive second screening information through the first control, where the second screening information includes: a second total value, a second screening metric, and a second weight of the second screening metric;
the sub-item numerical value calculation module is further used for calculating a second sub-item numerical value of each sub-item according to the second screening information;
the sub-item set data acquisition module is used for acquiring second set data of each sub-item from the previous version set data according to a second sub-item value of each sub-item;
the current version set data construction module is also used for constructing and caching the current version set data in a file form according to the second set data of each sub item, and adding a current version number, a last version number of the current version and an initial version number to the current version set data.
In an implementation manner of this embodiment, the apparatus further includes:
the second rollback module is used for responding to a second operation of the user on the fourth control, and rolling back the current version set data to the initial version set data of the current version set data;
the screening information receiving module is configured to receive third screening information through the first control, where the third screening information includes: a third total value, a third screening metric, and a third weight for the third screening metric;
the sub-item numerical value calculation module is used for calculating a third sub-item numerical value of each sub-item according to the third screening information;
the sub-item collection data acquisition module is used for acquiring third collection data of each sub-item from the initial version collection data version according to a third sub-item value of each sub-item;
the current version set data construction module is further used for constructing and caching current version set data according to the third set data of each sub item, and adding a current version number, a last version number of the current version and an initial version number to the current version set data.
The data processing apparatus described in this embodiment is configured to implement the data processing method described in the foregoing method embodiment, and the processing flow and the processing manner of the data processing apparatus may refer to corresponding processes of the foregoing method embodiment, which are not described herein again.
Through the above description of the embodiments, those skilled in the art will clearly understand that the present invention can be implemented by combining software and a hardware platform. With this understanding in mind, all or part of the technical solutions of the present invention that contribute to the background can be embodied in the form of a software product, which can be stored in a storage medium, such as a ROM/RAM, a magnetic disk, an optical disk, etc., and includes instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
EXAMPLE seven
The present embodiment provides a computer storage medium, such as a hard disk, an optical disk, a flash memory, a floppy disk, a magnetic tape, etc., on which computer readable instructions are stored, the computer readable instructions being executable by a processor to implement the data processing method applied to the asset screening apparatus of the asset securitization system described in the above embodiments.
Example eight
The present embodiment provides a computer device, including:
a memory having a computer program stored thereon,
a processor which can execute the computer program to realize the data processing method applied to the asset screening device of the asset securitization system described in the above embodiment.
The terms and expressions used in the present specification are used as terms of illustration only and are not meant to be limiting. It will be appreciated by those skilled in the art that changes could be made to the details of the above-described embodiments without departing from the underlying principles thereof. The scope of the invention is, therefore, indicated by the appended claims, in which all terms are intended to be interpreted in their broadest reasonable sense unless otherwise indicated.

Claims (20)

1. A data processing method for use in an asset screening device of an asset securitization system, the method comprising:
receiving first filtering information through a first control, wherein the first filtering information comprises: the first total value is a value corresponding to the first screening index;
calculating a first sub-item value of each sub-item according to the first screening information;
acquiring first aggregation data of each sub-item from the aggregation data version corresponding to the version number according to the first sub-item value of each sub-item;
the method comprises the steps that current version set data are locally constructed and cached in a file form according to first set data of sub items, and a current version number, a last version number of the current version and an initial version number are added to the current version set data;
and counting and displaying the statistical index value of the current version collection data.
2. The method of claim 1,
the total value is the package monetary value.
3. The method of claim 2, further comprising:
in response to a first operation of a user on a second control, packaging and storing the current version set data into a system database;
deleting the cached other versions of the aggregated data.
4. The method of claim 3, further comprising:
receiving, by the second control, a first statistical indicator and a threshold value of the first statistical indicator;
responding to a first operation of a user on the second control, and calculating a first statistical index value of the current version set data;
judging the size of the first statistical index value and the threshold value of the first statistical index;
and grouping the current version set data according to the judgment result and storing the current version set data in a system database.
5. The method of claim 1,
the first screening criteria include: a first dimension index and a second dimension index;
the calculating the first sub-item value of each sub-item according to the first screening information comprises:
calculating the weight of each sub-item according to the weight of a first dimension index and the weight of a second dimension index, wherein the sub-items are cross dimension items of the first dimension index and the second dimension index;
and calculating a first sub-item numerical value of each sub-item according to the total numerical value and the weight of each sub-item.
6. The method of claim 1, further comprising:
receiving collection index information through a third control, wherein the collection index information comprises first attribute information;
acquiring first data source information from a first data source according to the first attribute information, wherein the first data source information comprises first attribute information and second attribute information;
acquiring second data source information related to the first data source information from a second data source according to second attribute information of the first data source information;
according to the first data source information and the second data source information, initial version set data are locally constructed and cached in a file form, an initial version number is added to the initial version set data, the initial version set data comprise a plurality of asset data, and one asset data comprises one piece of first data source information and second data source information related to the first data source information.
7. The method of claim 5,
the first attribute information includes: a product number;
the first data source information includes: asset information;
the second attribute information includes: a client ID;
the second data source information includes: customer details.
8. The data processing method according to any of claims 1 to 7, wherein the method further comprises:
in response to a first operation of a user on a fourth control, returning the current version set data to a previous version set data of the current version set data;
receiving second filtering information through the first control, wherein the second filtering information comprises: a second total value, a second screening metric, and a second weight of the second screening metric;
calculating a second sub-item value of each sub-item according to the second screening information;
acquiring second collection data of each sub-item from the previous version of collection data according to the second sub-item value of each sub-item;
and locally constructing and caching the current version set data in a file form according to the second set data of each sub-item, and adding a current version number, a last version number of the current version and an initial version number to the current version set data.
9. The data processing method according to any of claims 1 to 7, wherein the method further comprises:
in response to a second operation of the user on the fourth control, returning the current version set data to the initial version set data of the current version set data;
receiving third filtering information through the first control, wherein the third filtering information comprises: a third total value, a third screening metric, and a third weight for the third screening metric;
calculating a third sub-item numerical value of each sub-item according to the third screening information;
acquiring third aggregation data of each sub item from the initial version aggregation data version according to the third sub item value of each sub item;
and locally constructing and caching the current version set data in a file form according to the third set data of each sub-item, and adding a current version number, a last version number of the current version and an initial version number to the current version set data.
10. A data processing apparatus for use in an asset securitization system, the data processing apparatus comprising:
the screening information receiving module is used for receiving first screening information through a first control, and the first screening information comprises: the first total value is a value corresponding to the first screening index;
the sub-item numerical value calculation module is used for calculating a first sub-item numerical value of each sub-item according to the first screening information;
the sub-item collection data acquisition module is used for acquiring first collection data of each sub-item from the collection data version corresponding to the version number according to the first sub-item value of each sub-item;
the current version set data construction module is used for constructing locally according to the first set data of each sub item, caching the current version set data in a file form, and adding a current version number, a last version number of the current version and an initial version number to the current version set data;
and the statistic display module is used for counting and displaying the statistic index value of the current version collection data.
11. The apparatus of claim 10,
the total value is the package monetary value.
12. The apparatus of claim 11, further comprising:
the packaging module is used for packaging and storing the current version collection data into a system database in response to a first operation of a user on the second control;
and the deleting module is used for deleting the cached other version collection data.
13. The apparatus of claim 12, further comprising:
the statistical index information acquisition module is used for receiving the first statistical index and the threshold value of the first statistical index through the second control;
the first statistical index value calculation module is used for responding to a first operation of a user on the second control and calculating a first statistical index value of the current version set data;
the judging module is used for judging the first statistical index value and the threshold value of the first statistical index;
and the packaging module is also used for packaging the data collected by the current version according to the judgment result and storing the data in a system database.
14. The apparatus of claim 10,
the first screening criteria include: a first dimension index and a second dimension index;
the sub-item numerical value calculation module comprises:
the weight calculation unit is used for calculating the weight of each sub-item according to the weight of a first dimension index and the weight of a second dimension index, wherein the sub-items are cross dimension items of the first dimension index and the second dimension index;
and the sub-item numerical value calculating unit is used for calculating a first sub-item numerical value of each sub-item according to the total numerical value and the weight of each sub-item.
15. The apparatus of claim 10, further comprising:
the collecting index information acquisition module is used for receiving collecting index information through a third control, and the collecting index information comprises first attribute information;
the first data source information acquisition module is used for acquiring first data source information from a first data source according to the first attribute information, wherein the first data source information comprises first attribute information and second attribute information;
the second data source information acquisition module is used for acquiring second data source information related to the first data source information from a second data source according to second attribute information of the first data source information;
and the initial version set data construction module is used for constructing and caching initial version set data according to the first data source information and the second data source information, and adding an initial version number to the initial version set data, wherein the initial version set data comprises a plurality of pieces of asset data, and one piece of asset data comprises one piece of first data source information and second data source information related to the first data source information.
16. The apparatus of claim 15,
the first attribute information includes: a product number;
the first data source information includes: asset information;
the second attribute information includes: a client ID;
the second data source information includes: customer details.
17. A data processing apparatus according to any one of claims 10 to 16, characterized in that the apparatus further comprises:
the first rollback module is used for responding to a first operation of a user on the fourth control, and rolling back the current version of the collected data to a previous version of the collected data of the current version of the collected data;
the screening information receiving module is further configured to receive second screening information through the first control, where the second screening information includes: a second total value, a second screening metric, and a second weight of the second screening metric;
the sub-item numerical value calculation module is further used for calculating a second sub-item numerical value of each sub-item according to the second screening information;
the sub-item set data acquisition module is used for acquiring second set data of each sub-item from the previous version set data according to a second sub-item value of each sub-item;
the current version set data construction module is also used for constructing and caching the current version set data in a file form according to the second set data of each sub item, and adding a current version number, a last version number of the current version and an initial version number to the current version set data.
18. A data processing apparatus according to any one of claims 10 to 16, characterized in that the apparatus further comprises:
the second rollback module is used for responding to a second operation of the user on the fourth control, and rolling back the current version set data to the initial version set data of the current version set data;
the screening information receiving module is configured to receive third screening information through the first control, where the third screening information includes: a third total value, a third screening metric, and a third weight for the third screening metric;
the sub-item numerical value calculation module is used for calculating a third sub-item numerical value of each sub-item according to the third screening information;
the sub-item collection data acquisition module is used for acquiring third collection data of each sub-item from the initial version collection data version according to a third sub-item value of each sub-item;
the current version set data construction module is further used for constructing and caching current version set data according to the third set data of each sub item, and adding a current version number, a last version number of the current version and an initial version number to the current version set data.
19. A computer-readable storage medium having computer-readable instructions stored thereon which are executable by a processor to implement the method of any one of claims 1 to 9.
20. A computer device, comprising:
a memory having a computer program stored thereon;
a processor for executing the computer program to implement the method of any one of claims 1 to 9.
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