CN112419028A - Financial data processing system - Google Patents

Financial data processing system Download PDF

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CN112419028A
CN112419028A CN202011355618.1A CN202011355618A CN112419028A CN 112419028 A CN112419028 A CN 112419028A CN 202011355618 A CN202011355618 A CN 202011355618A CN 112419028 A CN112419028 A CN 112419028A
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financial data
data
financial
data processing
mobile terminal
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不公告发明人
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Chongqing Danhan Technology Co ltd
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    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/04—Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange

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Abstract

The invention provides a financial data processing system which comprises a plurality of data processing centers, wherein each data processing center carries out remote data exchange with at least one mobile terminal; the method is characterized in that: the plurality of data processing centers are disposed at a plurality of different geographic locations; at least one mobile terminal in the broadcast range of each geographic position is provided with a financial data processing module; the density trend attribute of the financial data is determined based on a feedback result of the previous financial data which has been acquired by a mobile terminal sending the current financial data; for each packet, a corresponding packet feedback result is generated. The invention can collect the financial data generated by the mobile terminal in different geographical ranges in time, and can adjust the data exchange state of the mobile terminal based on the data fed back by the data processing center, thereby gathering the data in time while ensuring smooth data transmission and exerting various attribute values of the data.

Description

Financial data processing system
Technical Field
The invention belongs to the technical field of financial data processing, and particularly relates to a financial data processing system.
Background
The internet financial terminal industry is a novel information service field developed by means of the Chinese internet and the stock market together. With the application and development of technologies such as big data, block chains, artificial intelligence and the like in the financial industry, the deep fusion and close cooperation of finance and technology become the development trend of modern finance. The financial technology company relies on the information technology to improve the service efficiency, reduce the service cost, provide better financial service for customers, increase the number of audiences, improve the service frequency and enlarge the scale of the financial service market.
However, the information asymmetry problem is aggravated by financial technological innovation, and as financial institutions analyze and process financial data and risks through artificial intelligence and machine learning, very little is known by supervisors, and identification and response to financial risks become sluggish. And if the decision of the financial institution is more sensitive to the data, the economy runs faster, the periodic behavior is strengthened, the financial stability is not facilitated, and the systematic risk is more serious.
Therefore, according to the regulations of the relevant laws and regulations, the financial institutions must report their respective financial data to the monitoring institution periodically so that the monitoring institution can grasp the attributes of the financial data in time. However, in the prior art, there are many problems in reporting financial data, such as various reporting terminals, large amount of reported data, non-uniform time, etc., so that a monitoring authority cannot extract effective contents from the reported data, cannot give effective feedback to a reporter, and cannot adjust analysis parameters.
The Chinese invention patent application with the application number of CN202010749615.X provides a wind control analysis early warning system based on financial big data characteristics, the wind control analysis early warning system comprises a temporary database Tep-DB and a service database Bus-DB, the temporary database Tep-DB receives and executes a service request instruction Op-C, the service database Bus-DB synchronously receives the service request instruction Op-C identical to the temporary database Tep-DB, and after the temporary database Tep-DB finishes verification operation, the service database Bus-DB executes the service request instruction Op-C identical to the temporary database Tep-DB so as to finish the execution operation of the service request instruction Op-C. The invention does not influence the efficiency of data wind control analysis early warning under the condition of ensuring data safety; the temporary database and the service database are relatively isolated, the service request instruction is asynchronously executed, data wind control analysis and early warning are carried out through verification operation, the service database is executed after verification, only the sequence exists between the temporary database and the service database, the two sets of computing systems can be used, and computing resources are prevented from being contended for each other.
The Chinese patent application with the application number of CN201910263785.4 provides a method for improving the reliability of financial cloud mass data service. The method for improving the reliability of the financial cloud mass data service comprises the following steps: dividing the financial data into a plurality of single data files according to the financial type and date and storing the data files at the server end; receiving a first financial data acquisition request sent by a first client; analyzing a data file corresponding to the first financial data; inquiring whether the data file is sent to other clients; if yes, the identification information of the other clients is sent to the first client, so that the first client requests the other clients to acquire the first financial data and receives the first financial data sent by the other clients. The method for improving the service reliability of the financial cloud mass data is convenient for the server side to process and transmit financial data; the resource occupation of the server is reduced, the resource utilization rate of the server is improved, the response speed of the client for acquiring the financial data is improved, and the stability and the reliability of transmission are improved.
However, for a plurality of different financial data of different mobile terminals, how to collect the financial data to the monitoring authority in time and stably, and meanwhile, the monitoring authority needs to consider the operation condition of the reporter, how to avoid influencing the user experience, and the prior art does not provide an effective technical scheme.
Disclosure of Invention
In order to solve the technical problem, the invention provides a financial data processing system which comprises N data processing centers, wherein the N data processing centers are arranged at M different geographic positions; the method comprises the steps that a financial data processing module is installed on at least one mobile terminal in the broadcasting range of each geographic position, when the mobile terminal is in a data exchangeable state, the mobile terminal sends current financial data of the financial data processing module in a previous processing period to a data processing center corresponding to the geographic position, and obtains a feedback result of the previous financial data sent in the previous time from the data processing center; the financial data includes a plurality of data attributes.
The invention can collect the financial data generated by the mobile terminal in different geographical ranges in time, and can adjust the data exchange state of the mobile terminal based on the data fed back by the data processing center, thereby gathering the data in time while ensuring smooth data transmission and exerting various attribute values of the data.
Specifically, the financial data processing system comprises N data processing centers { C1，C2，…，CNEach data processing center carries out remote data exchange with at least one mobile terminal;
wherein the N data processing centers { C1，C2，…，CNAre arranged in M different geographical locations G1，G2，…，GM}；
At least one mobile terminal within the broadcast range of each of said geographical locations is fitted with a financial data processing module,
when the mobile terminal is in a data exchangeable state, the mobile terminal sends the current financial data of the financial data processing module in the previous processing period to a data processing center corresponding to the geographic position, and obtains a feedback result of the previous financial data sent in the previous time from the data processing center;
the financial data includes a plurality of data attributes including a type of the financial data processing module that acquired the financial data, a type of a mobile terminal that transmitted the financial data, and a density trend attribute of the financial data.
In the present invention, the financial data processing module includes a plurality of financial applications installed on the mobile terminal, and the high frequency usage period distribution of the users of the mobile terminal is different for the plurality of financial users.
The density trend attribute of the financial data is determined based on a feedback result of the previous financial data that has been acquired by the mobile terminal that transmitted the current financial data.
Preferably, the density trend attribute of the financial data includes a transmission frequency distribution, a transmission data size distribution and a mobile terminal type distribution of the current financial data determined based on the feedback result.
More specifically, the data processing center summarizes financial data sent by a plurality of mobile terminals in a broadcast range of a geographic location corresponding to the data processing center, and generates the feedback result after performing packet processing on the financial data.
According to the invention, based on different attributes of financial data, different grouping feedback results are generated after grouping is changed, and then the grouping attribute of the financial data sent by the mobile terminal is adjusted, so that smooth data sending is ensured;
in addition, each data processing center only processes the financial data of the mobile terminal in the corresponding broadcast range, so that the data pressure is reduced;
meanwhile, the mobile terminal only carries out data exchange when a certain financial application is in a non-high-frequency use period, so that the timeliness of data uploading is guaranteed (for example, the data is uploaded once a week or every day because the non-high-frequency use period is inevitably existed), the data transmission blockage can be avoided, and meanwhile, the data exchange is carried out under the condition that a user is not sensitive, the actual use of the user is not influenced, namely, the mobile terminal only carries out the data exchange.
Further advantages of the invention will be apparent in the detailed description section in conjunction with the drawings attached hereto.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
FIG. 1 is a block diagram of a financial data processing system according to an embodiment of the present invention
FIG. 2 is a schematic diagram of a mobile terminal connected in the financial data processing system of FIG. 1
FIGS. 3-4 are schematic diagrams of activity period statistics for different financial applications configured by the mobile terminal of FIG. 2
FIG. 5 is a schematic diagram of data exchange between the mobile terminal and the data processing center shown in FIG. 2
FIG. 6 is a schematic diagram of a feedback grouping mechanism of the financial data processing system of FIG. 1
Detailed Description
The invention is further described with reference to the following drawings and detailed description.
Referring to fig. 1, a diagram of a body architecture of a financial data processing system is shown according to an embodiment of the present invention.
As a general example, the financial data processing system of the present invention generally includes N data processing centers { C1,C2,…,CNN data processing centers { C }1,C2,…,CNAre arranged in M different geographical locations G1,G2,…,GM}；
In the general example described above, at least one data processing center is provided for each geographic location. I.e., N > M, two or more data processing centers may be located in a single geographic location.
Obviously, N and M are both positive integers.
In the above general example of the present invention, the data processing center may be a financial monitoring center or an institution set by law, such as a data processing center of a monitoring institution like a people bank, a bank insurance monitoring party or a certificate monitoring party; each geographical location represents the jurisdiction city of the financial administration center or institution or its affiliates, and the administrative region or other jurisdiction within a predetermined range centered on the geographical location may be referred to as the broadcast range of the geographical location in the present invention.
It should be noted that due to the wide data transmission range of the mobile terminal, in the present invention, there may be an overlap of the broadcast ranges of different geographical locations, i.e. the broadcast ranges are not necessarily exactly equal to the administrative or geographical jurisdiction. But this overlap does not affect the actual implementation of the solution.
In fig. 1, three different geographically located data processing centers are shown. It is noted that there must be tens of thousands of active mobile terminals within the broadcast range of each geographic location, and that only one representative symbol is shown in fig. 1, not to indicate only one mobile terminal, as is the case in other figures or embodiments.
On the basis of fig. 1, see fig. 2.
At least one mobile terminal within the broadcast range of each of the geographic locations is equipped with a financial data processing module.
In various embodiments of the present invention, the financial data processing module includes various types of financial applications installed in the mobile terminal.
As an illustrative example, financial applications include payment-type applications, transaction-type applications, banking-type applications, and the like. Although the above classification of categories is not absolute, in various embodiments of the invention, a financial application is classified according to its subject or active financial attributes, ensuring that each financial application is classified into a category.
As a specific example, the following table gives the classification of some common financial APPs:
categories Payment-type application Transaction-like applications Bank applicationBy using
Examples of the invention Payment treasure/Wechat Tonghuashun/Suning finance China Bank APP
It should be noted that the above classification is based on the subject financial attributes of an application, without considering other attributes, for example, for WeChat, it has the attribute of Simultaneous Payment (WeChat Payment), social attribute (circle of friends), transaction attribute (purchase financing, fund), but does not consider the social attribute (non-financial attribute); for Wechat, the financial attribute of its subject is Payment, and therefore, it is classified as a Payment class application, as is the classification of other apps.
The active periods of the subject financial attributes of different APPs are different. In other words, in fig. 2, the financial data processing modules are a plurality of financial applications installed on the mobile terminal, and the high frequency usage periods of the user of the mobile terminal are distributed differently for the plurality of financial applications.
Fig. 3 shows a schematic diagram of the active periods of a certain payment type financial application APP in units of various periods of a certain day, and fig. 4 compares the active periods of a certain payment type application APP and a certain transaction type financial application APP in units of a week.
The above-mentioned activity periods are periods of high frequency use by the user of the mobile terminal for the various financial applications.
Taking fig. 4 as an example, the transactions of the present invention generally refer to various stock fund transactions, so that the active period of the transaction-like APP is only reflected on weekdays (monday to friday), and is significantly reduced on weekends; when a specific day is reached, two active peak-valley periods are obviously provided, corresponding to two transaction periods in the morning and afternoon;
in contrast, the payment class APP may be stationary on weekdays, but more active on weekend days than on average.
Reference is next made to fig. 6.
In the invention, when the mobile terminal is in a data exchangeable state, the mobile terminal sends the current financial data of the financial data processing module in the previous processing period to the data processing center corresponding to the geographic position, and obtains the feedback result of the previous financial data sent in the previous time from the data processing center.
With the schematic illustrations of fig. 3-4, in the present invention, the mobile terminal itself is in a data exchangeable state, including: at least one of the financial applications is not currently in a period of high frequency use.
When a certain financial application is in a non-high-frequency use period, the data exchange is carried out, so that the timeliness of data uploading (for example, the data is uploaded once every week or every day because the non-high-frequency use period is inevitably existed) is ensured, the data transmission blockage can be avoided, and meanwhile, the data exchange is carried out under the condition that a user does not feel, and the actual use of the user is not influenced.
Therefore, the sending, by the mobile terminal, the current financial data of the financial data processing module in the previous processing cycle to the data processing center corresponding to the geographic location specifically includes:
and the mobile terminal sends the current financial data of at least one financial application which is not in the high-frequency use period in the previous processing period to a data processing center corresponding to the geographic position.
The financial data includes a plurality of data attributes including a type of the financial data processing module that acquired the financial data, a type of a mobile terminal that transmitted the financial data, and a density trend attribute of the financial data.
In connection with fig. 2, the type of the financial data processing module may be the type of the various financial applications, for example, the financial data belongs to transaction-type data or payment-type data, of course.
The type of the mobile terminal sending the financial data may be a specific hardware or software parameter of the mobile terminal, and is used for distinguishing a current terminal, such as an android, an IOS, or a blackberry.
As another key index for ensuring smooth data transmission, the multiple data attributes include density trend attributes.
The density trend attribute of the financial data is determined based on a feedback result of the previous financial data that has been acquired by the mobile terminal that transmitted the current financial data.
In the present invention, as can be seen from the following embodiments, the feedback result includes a grouping result of previous financial data, and the grouping result includes feedback of financial data in a certain group, where the feedback includes the amount of financial data transmitted in the current time period and the previous time period;
therefore, the mobile terminal can determine the density attribute of the current financial data in the previous processing cycle based on the amount of financial data transmitted in the current time period and the previous time period.
The density attribute represents the size of the transmitted data amount in a predetermined time unit (for example, weekly or daily), and the density trend attribute of the financial data to be transmitted can be obtained based on a plurality of density attributes obtained from a plurality of predetermined time units.
This attribute is adopted for the purpose of more grouping the data centers, for example, if the density trend of financial data received at a certain time is gradually increased, the number of groups to be grouped may be considered to be increased, and each group includes more elements; conversely, the packets should be reduced so that each packet contains fewer elements to ensure smooth subsequent data transmission.
Reference is next made to fig. 5.
The data processing center collects financial data sent by a plurality of mobile terminals in a broadcast range of a geographic position corresponding to the data processing center, and generates the feedback result after grouping the financial data.
More specifically, the generating the feedback result by the data processing center after the data processing center performs packet processing on the financial data specifically includes:
grouping the financial data based on the different data attributes of the financial data;
for each packet, a corresponding packet feedback result is generated.
Preferably, the obtaining, by the mobile terminal, a feedback result of previous financial data sent last time from the data processing center specifically includes:
and determining a grouping feedback result to be acquired based on the data attribute of the current financial data in the previous processing period sent by the mobile terminal.
As still another preferable example, the obtaining, by the mobile terminal, a feedback result of previous financial data sent last time from the data processing center specifically includes:
acquiring the type of the financial data processing module corresponding to the current financial data in the previous processing period sent by the mobile terminal;
determining a grouping of the financial data based on the type of the financial data processing module;
and determining a grouping feedback result required to be acquired based on the grouping of the financial data.
In fig. 6, the packet may be a financial application type packet.
And the density trend attribute of the financial data comprises the transmission frequency distribution, the transmission data size distribution and the mobile terminal type distribution of the current financial data determined based on the feedback result.
As described previously, if the density trend of financial data received at a certain time is gradually increased, it may be considered to increase the number of groups, each group including more elements; conversely, the packets should be reduced so that each packet contains fewer elements to ensure smooth subsequent data transmission.
The mobile terminal type distribution may be the mobile terminal type grouping in fig. 6.
As one example, if the trend of density for android-type financial data is increasing, more packets may be made for financial data sent by an android mobile terminal;
packets of financial data transmitted for an IOS mobile terminal may be reduced if the frequency of transmission for the IOS type terminal is gradually reduced.
Therefore, in each embodiment of the invention, different grouping feedback results can be generated after grouping is changed based on different attributes of the financial data, and then the grouping attribute of the financial data sent by the mobile terminal is adjusted, so that smooth data sending is ensured;
in addition, each data processing center only processes the financial data of the mobile terminal in the corresponding broadcast range, so that the data pressure is reduced;
meanwhile, the mobile terminal only carries out data exchange when a certain financial application is in a non-high-frequency use period, so that the timeliness of data uploading is guaranteed (for example, the data is uploaded once a week or every day because the non-high-frequency use period is inevitably existed), the data transmission blockage can be avoided, and meanwhile, the data exchange is carried out under the condition that a user is not sensitive, the actual use of the user is not influenced, namely, the mobile terminal only carries out the data exchange.
In summary, the invention can process the financial data of the multi-source mobile terminal in the broadcast range of a plurality of geographic positions in time and give self-adaptive grouping feedback, thereby ensuring smooth data transmission, reducing transmission pressure, avoiding data blockage, and analyzing different attributes of the financial data in multiple aspects and multiple angles.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (5)

1. A financial data processing system comprising a plurality of data processing centres, each data processing centre performing remote data exchange with at least one mobile terminal;
the method is characterized in that:
the plurality of data processing centers are disposed at a plurality of different geographic locations;
at least one mobile terminal within the broadcast range of each of said geographical locations is fitted with a financial data processing module,
when the mobile terminal is in a data exchangeable state, the mobile terminal sends the current financial data of the financial data processing module in the previous processing period to a data processing center corresponding to the geographic position, and obtains a feedback result of the previous financial data sent in the previous time from the data processing center;
the financial data comprises a plurality of data attributes, wherein the plurality of data attributes comprise the type of the financial data processing module for acquiring the financial data, the type of the mobile terminal for transmitting the financial data and the density trend attribute of the financial data; the density trend attribute of the financial data is determined based on a feedback result of the previous financial data which has been acquired by a mobile terminal sending the current financial data;
after the data processing center performs packet processing on the financial data, the feedback result is generated, which specifically includes:
grouping the financial data based on the different data attributes of the financial data;
for each packet, a corresponding packet feedback result is generated.
2. The financial data processing system as claimed in claim 1, wherein:
the mobile terminal obtains a feedback result of the previous financial data sent from the data processing center, and the feedback result specifically includes:
and determining a grouping feedback result to be acquired based on the data attribute of the current financial data in the previous processing period sent by the mobile terminal.
3. The financial data processing system as claimed in claim 1, wherein:
the mobile terminal obtains a feedback result of the previous financial data sent from the data processing center, and the feedback result specifically includes:
acquiring the type of the financial data processing module corresponding to the current financial data in the previous processing period sent by the mobile terminal;
determining a grouping of the financial data based on the type of the financial data processing module;
and determining a grouping feedback result required to be acquired based on the grouping of the financial data.
4. The financial data processing system as claimed in claim 1, wherein:
and the density trend attribute of the financial data comprises the transmission frequency distribution, the transmission data size distribution and the mobile terminal type distribution of the current financial data determined based on the feedback result.
5. The financial data processing system as claimed in claim 1, wherein:
the mobile terminal sends the current financial data of the financial data processing module in the previous processing period to the data processing center corresponding to the geographic position, and the method specifically includes:
and the mobile terminal sends the current financial data of at least one financial application which is not in the high-frequency use period in the previous processing period to a data processing center corresponding to the geographic position.
CN202011355618.1A 2020-11-26 2020-11-26 Financial data processing system Withdrawn CN112419028A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113590488A (en) * 2021-08-03 2021-11-02 厦门至恒融兴信息技术股份有限公司 System testing method and platform for simulating financial data support
CN113934727A (en) * 2021-10-15 2022-01-14 珠海百丰网络科技有限公司 Adaptive acquisition and processing system and method for multi-source heterogeneous financial data

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113590488A (en) * 2021-08-03 2021-11-02 厦门至恒融兴信息技术股份有限公司 System testing method and platform for simulating financial data support
CN113590488B (en) * 2021-08-03 2024-01-30 厦门至恒融兴信息技术股份有限公司 System test method and test platform for simulating financial data support
CN113934727A (en) * 2021-10-15 2022-01-14 珠海百丰网络科技有限公司 Adaptive acquisition and processing system and method for multi-source heterogeneous financial data
CN113934727B (en) * 2021-10-15 2022-04-29 珠海百丰网络科技有限公司 Adaptive acquisition and processing system and method for multi-source heterogeneous financial data

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Application publication date: 20210226