CN111626882B

CN111626882B - Data detection method and device, computer readable medium and electronic equipment

Info

Publication number: CN111626882B
Application number: CN202010469473.1A
Authority: CN
Inventors: 李春明; 武和
Original assignee: Taikang Insurance Group Co Ltd; Taikang Pension Insurance Co Ltd
Current assignee: Taikang Insurance Group Co Ltd; Taikang Pension Insurance Co Ltd
Priority date: 2020-05-28
Filing date: 2020-05-28
Publication date: 2022-07-19
Anticipated expiration: 2040-05-28
Also published as: CN111626882A

Abstract

The embodiment of the disclosure provides a data detection method, a data detection device, a computer readable medium and electronic equipment, and relates to the technical field of computers. The method comprises the following steps: receiving user data transmitted by sender equipment, and generating a plurality of user data tables according to the user data; the user data tables are used for representing user data in different representation modes; carrying out multi-dimensional data correctness detection on a plurality of user data tables; if the detection result shows that the data in the plurality of user data tables are correct, transmitting the user data tables to the receiving party equipment; and if the detection result shows that at least one user data table in the plurality of user data tables comprises incorrect data, performing instruction feedback to sender equipment corresponding to the incorrect data. The technical scheme of the embodiment of the disclosure can overcome the problem of higher labor cost at least to a certain extent, thereby reducing the labor cost and improving the data transmission efficiency.

Description

Data detection method and device, computer readable medium and electronic equipment

Technical Field

The present disclosure relates to the field of computer technologies, and in particular, to a data detection method, a data detection apparatus, a computer-readable medium, and an electronic device.

Background

Generally, for a user service, multiple parties are usually required to cooperate to complete the operation of the user service. For example, for the operation of the user professional annuity/enterprise annuity, multiple personnel such as a trustee, a delivery party and the like need to plan and calculate together, so that the optimal effect on the operation of the user professional annuity/enterprise annuity is achieved. However, the operation process usually needs to manually perform repeated verification and check on the relevant data to solve the problem of poor operation effect caused by calculation errors among multiple parties. However, this causes a problem of high labor cost.

It is noted that the information disclosed in the above background section is only for enhancement of understanding of the background of the present disclosure and therefore may include information that does not constitute prior art that is already known to a person of ordinary skill in the art.

Disclosure of Invention

An object of the embodiments of the present disclosure is to provide a data detection method, a data detection apparatus, a computer readable medium, and an electronic device, which overcome the problem of high labor cost to some extent at least, thereby reducing labor cost and improving data transmission efficiency.

A first aspect of the embodiments of the present disclosure provides a data detection method, including:

receiving user data transmitted by sender equipment, and generating a plurality of user data tables according to the user data; the user data tables are used for representing user data in different representation modes;

carrying out multi-dimensional data correctness detection on a plurality of user data tables;

if the detection result shows that the data in the plurality of user data tables are correct, transmitting the user data tables to the receiving party equipment; if the detection result shows that at least one user data table in the plurality of user data tables comprises incorrect data, performing instruction feedback to sender equipment corresponding to the incorrect data;

the sender equipment is managed side equipment, main managed side equipment or trusted side equipment; the user data includes various types of data estimated for the user's asset investment; the receiving party equipment is main trustee equipment, main trustee equipment or agent equipment.

In an exemplary embodiment of the present disclosure, transmitting a user data table to a recipient device includes:

processing the user data table according to a receiving rule corresponding to the receiving party equipment;

and determining the transmission time according to the current time and transmitting the processed user data table to the receiving party equipment at the transmission time.

In an exemplary embodiment of the present disclosure, the multidimensional data correctness detection for a plurality of user data tables includes:

respectively carrying out in-table data correctness detection on a plurality of user data tables;

and if the detection result shows that the in-table data of the plurality of user data tables are all correct, performing inter-table data correctness detection on the plurality of user data tables.

In an exemplary embodiment of the present disclosure, wherein:

the user data table is a combined user data table, a planned user data table or a unified planned user data table;

the combined user data table comprises at least one of valuation date, investment portfolio code, investment portfolio name, unit net value, share, trustee net value and valuation information type;

the plan user data table comprises at least one of valuation date, annuity plan registration number, annuity plan name, unit net value, share, entrusted asset net value and valuation information type;

the unified plan user data table includes at least one of an valuation date, an annuity plan registration number, a unified plan name, a net value of units, a share, a net value of a trusted asset, and a valuation information type.

In an exemplary embodiment of the present disclosure, performing intra-table data correctness detection on a plurality of user data tables respectively includes:

if the plurality of user data tables comprise a combined user data table and a planned user data table, calculating a first ratio of the net entrusted assets to the shares in the combined user data table and a second ratio of the net entrusted assets to the shares in the planned user data table;

if the first ratio is equal to the net unit value in the combined user data table, judging that the data in the combined user data table is correct; if the second ratio is equal to the net unit value in the data table of the planned user, judging that the data in the data table of the planned user is correct;

if the plurality of user data tables comprise a combined user data table, a planned user data table and a unified planned user data table, calculating a first ratio, a second ratio and a third ratio of net trusteeship and share in the unified planned user data table;

if the first ratio is equal to the unit net value in the combined user data table, judging that the data in the combined user data table is correct; if the second ratio is equal to the net unit value in the data table of the planned user, judging that the data in the data table of the planned user is correct; and if the third ratio is equal to the net unit value in the unified planning user data table, judging that the data in the combined user data table is correct.

In an exemplary embodiment of the present disclosure, inter-table data correctness detection is performed on a plurality of user data tables, including:

if the plurality of user data tables comprise a combined user data table and a planned user data table, calculating the sum of the net trustees in the combined user data table as first data; calculating the sum of the shares in the combined user data table as second data;

if the net trusts in the first data and the scheduled user data table are equal, the shares of the second data and the scheduled user data table are equal, and the ratio of the first data to the second data is equal to the net unit value in the scheduled user data table, judging that the inter-table data of the user data tables are correct;

if the plurality of user data tables comprise a combined user data table, a planned user data table and a unified planned user data table, calculating the sum of the trusteeship equity of each type of combination in the combined user data table respectively to obtain a plurality of third data; calculating the sum of the shares of each type of combination in the combined user data table to obtain a plurality of fourth data; calculating the sum of the net worth of trusted assets in the planned user data table as fifth data; calculating the sum of the shares in the planned user data table as sixth data;

and if the third data are respectively equal to the net worth of trusts of the corresponding type combination in the planned user data table, the fourth data are respectively equal to the share of the corresponding type combination in the planned user data table, the fifth data are equal to the net worth of trusts in the unified planned user data table, the sixth data are equal to the share in the unified planned user data table, the ratio of the third data to the corresponding fourth data is equal to the net worth of units of the corresponding type combination in the planned user data table, and the ratio of the fifth data to the sixth data is equal to the net worth of units in the unified planned user data table, the inter-table data of the user data tables are judged to be correct.

In an exemplary embodiment of the present disclosure, performing instruction feedback to a sender device corresponding to incorrect data includes:

if the sender equipment corresponding to the incorrect data is the first target equipment, feeding back an instruction for indicating to recalculate the user data to the first target equipment; wherein the first target device is used for calculating user data;

if the sender equipment corresponding to the incorrect data is second target equipment, feeding back an instruction for indicating to re-examine the user data to the second target equipment; wherein the second target device is used to audit the user data.

According to a second aspect of the embodiments of the present disclosure, there is provided a data detection apparatus including a data receiving unit, a data detection unit, and a data transmission unit, wherein:

the data receiving unit is used for receiving the user data transmitted by the sender equipment and generating a plurality of user data tables according to the user data; the user data tables are used for representing user data in different representation modes;

the data detection unit is used for carrying out multi-dimensional data correctness detection on the plurality of user data tables;

the data transmission unit is used for transmitting the user data table to the receiving device when the detection result shows that the data in the user data tables are correct;

the data transmission unit is also used for feeding back an instruction to sender equipment corresponding to incorrect data when the detection result shows that at least one user data table in the plurality of user data tables comprises the incorrect data;

the sender device is a pipe supporting device, a main pipe supporting device or a trustee device; the user data includes various types of data estimated for the user's asset investment; the receiving party equipment is main trustee equipment, main trustee equipment or agent equipment.

In an exemplary embodiment of the present disclosure, a manner of transmitting the user data table to the receiving device by the data transmission unit may specifically be:

the data transmission unit processes the user data table according to a receiving rule corresponding to the receiving party equipment;

and the data transmission unit determines the transmission time according to the current time and transmits the processed user data table to the receiving party equipment at the transmission time.

In an exemplary embodiment of the disclosure, the way of performing multidimensional data correctness detection on a plurality of user data tables by the data detection unit may specifically be:

the data detection unit respectively detects the correctness of the data in the user data tables;

and if the detection result shows that the in-table data of the plurality of user data tables are correct, the data detection unit performs inter-table data correctness detection on the plurality of user data tables.

In an exemplary embodiment of the present disclosure, wherein:

the combination user data table comprises at least one of valuation date, investment portfolio code, investment portfolio name, net unit value, share, net entrusted asset value and valuation information type;

In an exemplary embodiment of the present disclosure, a way that the data detection unit performs intra-table data correctness detection on the plurality of user data tables respectively may specifically be:

if the plurality of user data tables comprise a combined user data table and a planned user data table, the data detection unit calculates a first ratio of the net entrusted assets to the shares in the combined user data table and a second ratio of the net entrusted assets to the shares in the planned user data table;

if the first ratio is equal to the unit net value in the combined user data table, the data detection unit judges that the data in the combined user data table is correct; if the second ratio is equal to the unit net value in the data table of the planned user, the data detection unit judges that the data in the data table of the planned user is correct;

if the plurality of user data tables comprise a combined user data table, a planned user data table and a unified planned user data table, the data detection unit calculates a first ratio, a second ratio and a third ratio of net worth of trusted assets and shares in the unified planned user data table;

if the first ratio is equal to the net unit value in the combined user data table, the data detection unit judges that the data in the combined user data table is correct; if the second ratio is equal to the unit net value in the data table of the planned user, the data detection unit judges that the data in the data table of the planned user is correct; and if the third ratio is equal to the unit net value in the unified planning user data table, the data detection unit judges that the data in the combined user data table is correct.

In an exemplary embodiment of the disclosure, a way for the data detection unit to perform inter-table data correctness detection on the multiple user data tables may specifically be:

if the plurality of user data tables comprise a combined user data table and a planned user data table, the data detection unit calculates the sum of the net worth of trusted assets in the combined user data table as first data; the data detection unit calculates the sum of the shares in the combined user data table as second data;

if the net trusts in the first data and the scheduled user data table are equal, the shares of the second data and the scheduled user data table are equal, and the ratio of the first data to the second data is equal to the net unit value in the scheduled user data table, the data detection unit judges that the inter-table data of the user data tables are correct;

if the plurality of user data tables comprise a combined user data table, a planned user data table and a unified planned user data table, the data detection unit calculates the sum of the trusteeship net worth of each type of combination in the combined user data table to obtain a plurality of third data; the data detection unit calculates the sum of the shares of each type of combination in the combined user data table to obtain a plurality of fourth data; the data detection unit calculates the sum of the net entrusted assets in the data table of the plan user as fifth data; the data detection unit calculates the sum of the shares in the planned user data table as sixth data;

if the third data are equal to the net worth of assets of the corresponding type combination in the planned user data table, the fourth data are equal to the share of the corresponding type combination in the planned user data table, the fifth data are equal to the net worth of assets of the unified planned user data table, the sixth data are equal to the share in the unified planned user data table, the ratio of the third data to the corresponding fourth data is equal to the net worth of units of the corresponding type combination in the planned user data table, and the ratio of the fifth data to the sixth data is equal to the net worth of units in the unified planned user data table, the data detection unit determines that the inter-table data of the user data tables are correct.

In an exemplary embodiment of the disclosure, a manner of the data transmission unit feeding back the instruction to the sender device corresponding to the incorrect data may specifically be:

if the sender device corresponding to the incorrect data is the first target device, the data transmission unit feeds back an instruction for indicating to recalculate the user data to the first target device; the first target equipment is used for calculating user data;

if the sender device corresponding to the incorrect data is the second target device, the data transmission unit feeds back an instruction for indicating to re-check the user data to the second target device; wherein the second target device is used to audit the user data.

According to a third aspect of embodiments of the present disclosure, there is provided a computer-readable medium, on which a computer program is stored, which when executed by a processor, implements the data detection method as described in the first aspect of the embodiments above.

According to a fourth aspect of the embodiments of the present disclosure, there is provided an electronic apparatus including: one or more processors; a storage device for storing one or more programs which, when executed by one or more processors, cause the one or more processors to implement the data detection method as described in the first aspect of the embodiments above.

The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects:

in the technical solutions provided in some embodiments of the present disclosure, a plurality of user data tables (e.g., user data table 1 and user data table 2 transmitted by a hosting party device a, user data table 3 and user data table 4 transmitted by a hosting party device B, and user data table 5 and user data table 6 transmitted by a hosting party device C) transmitted by a sender device (e.g., hosting party device a, hosting party device B, and hosting party device C) may be received; the user data tables are used for representing user data in different representation modes; furthermore, multi-dimensional data correctness detection can be performed on a plurality of user data tables; if the detection result indicates that the data in the plurality of user data tables are correct, the user data tables can be transmitted to the receiving device (such as the agent device); and if the detection result indicates that at least one user data table in the plurality of user data tables comprises incorrect data, performing instruction feedback to a sender device (such as the hosting party device C) corresponding to the incorrect data. According to the scheme, on one hand, the problem of high labor cost can be solved to a certain extent, so that the labor cost is reduced, the data detection efficiency is improved through automatic data detection, and the data transmission efficiency is improved; on the other hand, the problem of poor processing effect on user data caused by data errors among multiple devices can be solved through multi-dimensional data correctness detection.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the disclosure. It is to be understood that the drawings in the following description are merely exemplary of the disclosure, and that other drawings may be derived from those drawings by one of ordinary skill in the art without the exercise of inventive faculty.

FIG. 1 schematically shows a flow diagram of a data detection method according to one embodiment of the present disclosure;

FIG. 2 schematically illustrates a flow diagram for multidimensional data correctness detection for multiple user data tables in accordance with one embodiment of the present disclosure;

FIG. 3 schematically illustrates a flow diagram for transmitting a user data table to a recipient device in accordance with one embodiment of the present disclosure;

FIG. 4 schematically illustrates a flow diagram for instruction feedback to a sender device corresponding to incorrect data, in accordance with an embodiment of the present disclosure;

FIG. 5 schematically illustrates a flow chart of a method of data detection in another embodiment in accordance with the present disclosure;

FIG. 6 schematically shows a block diagram of a data detection device in an embodiment according to the present disclosure;

FIG. 7 is a diagram illustrating an exemplary system architecture to which a data detection method and a data detection apparatus according to an embodiment of the present disclosure may be applied;

FIG. 8 illustrates a schematic structural diagram of a computer system suitable for use in implementing the electronic device of an embodiment of the present disclosure.

Detailed Description

Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the disclosure. One skilled in the relevant art will recognize, however, that the subject matter of the present disclosure can be practiced without one or more of the specific details, or with other methods, components, devices, steps, and the like. In other instances, well-known technical solutions have not been shown or described in detail to avoid obscuring aspects of the present disclosure.

Furthermore, the drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus their repetitive description will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor devices and/or microcontroller devices.

The disclosed embodiments may be applied to the operation of enterprise annuity/professional annuity business. Under normal conditions, the annual fund/professional annual fund business of an operation enterprise needs a trustee, a trustee and a delivery and management party to cooperate; the trustee refers to a legal person trustee who is trusteely managing the professional annuity/enterprise annuity fund, the trustee refers to a commercial bank which receives the trustee to entrust and store the professional annuity/enterprise annuity fund property, and the administration party (i.e., the investment management party) refers to a professional organization which receives the trustee to entrust and manage the professional annuity/enterprise annuity fund property.

In addition, the trusted party may be one or more, and the embodiments of the present disclosure are not limited. If there are multiple trustees, including a main trustee (i.e. the uniform plan profitability auditing party), the main trustee is the trustee responsible for auditing the net value of the uniform plan unit and so on, which is designated by the agent party for realizing the multi-plan uniform calculation profitability. In addition, the hosting party can also be one or more, and the embodiments of the present disclosure are not limited. If there are a plurality of managed parties, including a main managed party (i.e., the unified planning profit rate calculator), the main managed party is the managed party responsible for calculating the net worth of the unified planning unit, which is specified by the agent party for realizing the multi-plan unified calculation of the profit rate. The agent is a central national organ endowment insurance management center and provincial social insurance handling organization which collectively handle and manage the career annuity/enterprise annuity plan, the plan refers to a real plan which is established in the agent system and corresponds to each trustee, and the unified plan refers to a virtual plan on a multi-plan which is established in the agent system under the condition that the yield is calculated in a multi-plan unified mode.

In the operation process, usually, the administrator sends the administrative valuation data (such as the user data) during valuation to the host according to the fund unit net valuation calculation method, the host calculates the planned layer valuation data table (such as the planned user data table) and the combined layer valuation data table (such as the combined user data table) on the day of pricing according to the asset valuation data sent by the administrator, the host further generates the asset valuation table according to the asset valuation data sent by the host, the data is sent to the main host, the main host and the agent after being checked correctly, the main host calculates the asset valuation data of the unified planning layer according to the entrusted valuation data sent by each host, and sends the planning layer valuation data table, the combined layer valuation data table and the unified planning layer valuation data table (such as the same planned user data table) to the main entrusted party, so that the main trustee can make check calculation for asset valuation data sent by every trustee and main trustee, and can send the valuation data without error. In the operation process, the auditing of the user data is performed manually, but the problem that the auditing efficiency is low, which results in low transmission efficiency of the user data among all parties, exists, and the accuracy of manual auditing is lower than that of computer auditing, so that when the manual auditing is failed, the operation effect on the user data is affected.

In view of one or more of the above problems, the present example embodiment provides a data detection method. The data detection method may be applied to the server 705 in fig. 7, and may also be applied to one or more of the

terminal devices

701, 702, and 703 in fig. 7, which is not particularly limited in this exemplary embodiment. Referring to fig. 1, the data detection method may include the following steps S110 to S140, specifically:

step S110: receiving user data transmitted by sender equipment, and generating a plurality of user data tables according to the user data; wherein the plurality of user data tables are used for characterizing the user data by different representation ways.

Step S120: performing multidimensional data correctness detection on the plurality of user data tables, and if the detection result indicates that the data in the plurality of user data tables are correct, executing step S130; if the detection result indicates that at least one of the plurality of user data tables includes incorrect data, step S140 is performed.

Step S130: the user data table is transmitted to the recipient device.

Step S140: and performing instruction feedback to the sender equipment corresponding to the incorrect data.

The sender equipment is managed side equipment, main managed side equipment or trusted side equipment; the user data includes various types of data estimated for the user's asset investment; the receiving party equipment is main trustee equipment, main trustee equipment or agency equipment.

In the technical solutions provided in some embodiments of the present disclosure, a plurality of user data tables (e.g., user data table 1 and user data table 2 transmitted by a hosting party device a, user data table 3 and user data table 4 transmitted by a hosting party device B, and user data table 5 and user data table 6 transmitted by a hosting party device C) transmitted by a sender device (e.g., hosting party device a, hosting party device B, and hosting party device C) may be received; the user data tables are used for representing user data in different representation modes; furthermore, multi-dimensional data correctness detection can be performed on a plurality of user data tables; if the detection result indicates that the data in the plurality of user data tables are correct, the user data tables can be transmitted to the receiving device (such as the proxy device); and if the detection result indicates that at least one user data table in the plurality of user data tables comprises incorrect data, performing instruction feedback to a sender device (such as the hosting party device C) corresponding to the incorrect data. According to the scheme, on one hand, the problem of high labor cost can be solved to a certain extent, so that the labor cost is reduced, the data detection efficiency is improved through automatic data detection, and the data transmission efficiency is improved; on the other hand, the problem of poor processing effect on user data caused by data errors among multiple devices can be solved through multi-dimensional data correctness detection.

The above steps of the present exemplary embodiment will be described in more detail below.

In step S110, receiving user data transmitted by a sending device, and generating a plurality of user data tables according to the user data; wherein the plurality of user data tables are used for characterizing the user data by different representation ways.

In this example embodiment, when the local device is functional as trusted (i.e., my party is the trusted party), the sender device may comprise a hosting party device; when the local device is functioning as a master trusted party (i.e., i.i., i.e., i.i.i.e., i.e., i., i.e., i., i.i.e., i., i.e., i.a master trusted, i.e., i., i.e., i., i.e., i., i.e., i., i.e., i., i.e., i., i.e., i., i.e.

In this example embodiment, the plurality of user data tables may or may not have the same type of user data table, and the embodiment of the present disclosure is not limited.

In the present exemplary embodiment, the user data may be understood as one kind of valuation data, i.e., various kinds of data estimated for the user asset investment, and may also be understood as respective data in the following table. The plurality of user data tables are generated according to the user data, and it can be understood that the user data is summarized into a plurality of user data tables in different forms.

In this example embodiment, the user data table is a combined user data table, a planned user data table, or a unified planned user data table; the combined user data table, the planned user data table and the unified planned user data table respectively correspond to an evaluation information type.

the plan user data table includes at least one of valuation date, annuity plan registration number, annuity plan name, net unit value, share, net entrusted asset value and valuation information type;

The valuation date is used for representing the asset valuation date, the investment portfolio code is used for representing a code corresponding to an investment mode, the investment portfolio name is used for representing a name corresponding to the investment mode, the unit net value is used for representing the ratio of the trustee net value to the share, the share is used for representing the asset share corresponding to the investment mode, the trustee net value is used for representing assets operated by a trustee aiming at the investment mode, and the type of valuation information is used for representing the valuation data type corresponding to the investment mode. In addition, the annuity plan registration number is used to indicate an asset operation code including a plurality of portfolios, the annuity plan name is used to indicate an asset operation name including a plurality of portfolios, and the uniform plan name is used to indicate an asset operation name including a plurality of plans.

For example, the combined user data table may be as shown in table 1, table 2, or table 3 below:

TABLE 1

TABLE 2

TABLE 3

Wherein, table 1 is a combined user data table transmitted by the trusted device a, table 2 is a combined user data table transmitted by the trusted device B, and table 3 is a combined user data table transmitted by the master hosting device. Tables 1 and 2 may be received if my is the trusted party, and tables 1, 2 and 3 may be received if my is the master trusted party.

Also, for example, the planned user data table may be as shown in table 4, table 5, or table 6 below:

TABLE 4

TABLE 5

TABLE 6

Table 4 is a combined user data table transmitted by the trusted device a, table 5 is a combined user data table transmitted by the trusted device B, and table 6 is a combined user data table transmitted by the master hosting device. Table 4 and table 5 may be received if my is the trusted party, and table 4, table 5 and table 6 may be received if my is the master trusted party.

In table 4, the annuity plan registration number a is used to indicate that portfolio codes a1, a2, A3, and a4 are included under the plan, the annuity plan name plan a is used to indicate that portfolio name combination a1, portfolio a2, portfolio A3, and portfolio a4 are included under the plan, the share 1000000 of plan a is the sum of the shares corresponding to portfolio codes a1, a2, A3, and a4, and the net trusted assets 1490000 of plan a is the sum of the net trusted assets corresponding to portfolio codes a1, a2, A3, and a 4.

In table 5, annuity plan registration number B is used to indicate that portfolio codes B1, B2, and B3 are included under the plan, annuity plan name plan B is used to indicate that portfolio name combination B1, portfolio B2, and portfolio B3 are included under the plan, the share 600000 of plan B is the sum of the shares corresponding to portfolio codes B1, B2, and B3, and the net committed asset 900000 of plan B is the sum of the net committed assets corresponding to portfolio codes B1, B2, and B3. Table 6 also includes the contents of tables 4 and 5.

Additionally, for example, the unified plan user data table may be as shown in Table 7 below:

TABLE 7

Wherein, table 7 is a unified plan user data table transmitted by the device of the main trustee, if my party is a trustee, table 7 will not be received, if my party is a main trustee, table 7 can be received; wherein the annuity plan registration number AAA is used to indicate that the annuity plan registration number a and the annuity plan registration number B are included under the unified plan, the unified annuity plan name AAA is used to indicate that the plan a and the plan B are included under the unified plan, the share 1600000 in table 7 is the sum of the shares corresponding to the plan a and the plan B, and the equity of the trusted assets in table 7 is the sum of the equity of the trusted assets in the plan a and the plan B.

It should be noted that, if the type of the estimation information is 01, the corresponding estimation data is the combined user data; if the evaluation information type is 02, the corresponding evaluation data is the planned user data; and if the evaluation information type is 03, the corresponding evaluation data is the unified planning user data. In addition to the above evaluation information types, other evaluation information types may be included in the embodiments of the present disclosure, and the embodiments of the present disclosure are not limited.

In step S120, performing multidimensional data correctness detection on the plurality of user data tables, and if the detection result indicates that the data in the plurality of user data tables are correct, performing step S130; if the detection result indicates that at least one of the plurality of user data tables includes incorrect data, step S140 is performed.

In this example embodiment, the multidimensional data correctness detection may include intra-table detection and/or inter-table detection; in the table, the intra-table detection may be understood as detecting whether data in the table is correct, and the inter-table detection may be understood as detecting whether data between the table and the table are corresponding. In addition, the above-mentioned data correctness in the plurality of data tables can be understood as that the data in any one of the plurality of data tables is correct and the data in the plurality of data tables is correlated with each other.

In this example embodiment, optionally, referring to fig. 2, fig. 2 schematically shows a flowchart of performing multidimensional data correctness detection on a plurality of user data tables according to an embodiment of the present disclosure. As shown in fig. 2, performing multidimensional data correctness detection on a plurality of user data tables includes steps S210 to S230, where:

step S210: performing in-table data correctness detection on the plurality of user data tables respectively, and if the detection result indicates that the in-table data of the plurality of user data tables are all correct, executing step S220; if the detection result indicates that all the data in the user data tables are not correct, step S230 is executed.

Step S220: and carrying out inter-table data correctness detection on the plurality of user data tables.

Step S230: and performing instruction feedback to the sender equipment corresponding to the incorrect data.

In this exemplary embodiment, if the detection result indicates that all the data in the user data tables are not correct, it may be understood that at least one user data table in the user data tables includes incorrect data. In addition, the sending device corresponding to the incorrect data may be a hosting party device, a master hosting party device, or a trusted party device.

In this exemplary embodiment, the manner of performing intra-table data correctness detection on each of the plurality of user data tables may specifically be:

if the plurality of user data tables comprise a combined user data table and a planned user data table, calculating a first ratio of the net trustee assets to the shares in the combined user data table and a second ratio of the net trustee assets to the shares in the planned user data table;

if the plurality of user data tables comprise a combined user data table, a planned user data table and a unified planned user data table, calculating a first ratio, a second ratio and a third ratio of net worth of trusted assets to shares in the unified planned user data table;

if the first ratio is equal to the net unit value in the combined user data table, judging that the data in the combined user data table is correct; if the second ratio is equal to the unit net value in the data table of the planned user, judging that the data in the data table of the planned user is correct; and if the third ratio is equal to the unit net value in the unified planning user data table, judging that the data in the combined user data table is correct.

In this exemplary embodiment, when my party is the trusted party, the plurality of user data tables include a combined user data table and a planned user data table; when my party is the main trusted party, the plurality of user data tables comprise a combined user data table, a planned user data table and a unified planned user data table.

For example, referring to table 1 above (i.e., the combo user data table), if the net trusted asset is 120000 and the corresponding share is 100000, then the first ratio may be the net trusted asset/share, i.e., 120000/100000 ═ 1.2. Referring to table 4 above (i.e., the projected user data table), if the net committed asset is 1490000 and the corresponding share is 1000000, then the second ratio may be the net committed asset/share, i.e., 1490000/1000000 equals 1.49. Referring to table 7 above (i.e., the unified planning user data table), if the trustee asset is net 2390000 and the corresponding share is 1600000, then the third ratio may be the trustee asset net/share, i.e., 2390000/1600000 ═ 1.49375. Since the first ratio 1.2 is equal to the corresponding net unit value 1.2 in table 1, the second ratio 1.49 is equal to the corresponding net unit value 1.49 in table 4, and the third ratio 1.49375 is equal to the corresponding net unit value 1.49375 in table 7, it can be determined that the intra-table data of table 1, table 4, and table 7 are all correct.

In addition, it should be noted that, if the first ratio is not equal to the net value of the unit in the combined user data table, it is determined that the combined user data table includes incorrect data; if the second ratio is not equal to the unit net value in the data table of the planned user, judging that the data table of the planned user comprises incorrect data; and if the third ratio is not equal to the net unit value in the unified planning user data table, judging that the combined user data table comprises incorrect data.

In this exemplary embodiment, as can be seen from table 1 above, the first ratio may be one or more, and the examples of the present disclosure are not limited; referring to table 4 above, the second ratio may be one or more, and the embodiments of the present disclosure are not limited; similarly, it can be derived that the third ratio may be one or more, and the embodiments of the disclosure are not limited.

In this exemplary embodiment, the method for performing inter-table data correctness detection on multiple user data tables may specifically be:

if the first data is equal to the net entrusted assets in the data table of the planned user, the second data is equal to the shares in the data table of the planned user, and the ratio of the first data to the second data is equal to the net unit value in the data table of the planned user, the inter-table data of the user data tables is judged to be correct;

See, for example, table 1 (i.e., the combined user data table) above, where the equity trusts include 120000, 280000, 450000, and 640000. When my party is the trusted party, the sum 1490000 of 120000, 280000, 450000, and 640000 may be the first data; wherein the shares include 100000, 200000, 300000 and 400000, and when my party is a trusted party, 1000000 of the sum of 100000, 200000, 300000 and 400000 may be used as the second data.

See table 3 above (i.e., portfolio user data table) including portfolio types a and B, portfolio type a including portfolio a1, portfolio a2, portfolio A3, and portfolio a4, portfolio type B including portfolio B1, portfolio B2, portfolio B3, and portfolio B4; the net entrusted assets for combination a1, combination a2, combination A3, and combination a4 are 120000, 280000, 450000, and 640000, respectively, and the net entrusted assets for combination B1, combination B2, combination B3, and combination B4 are 280000, 300000, and 320000, respectively. Then, the sum of the total equity of the entrusted assets corresponding to type a of the portfolio is 1490000, and the sum of the total equity of the entrusted assets corresponding to type B of the portfolio is 900000, and when my party is the master entrusted party, 1490000 and 900000 may be used as the third data. Wherein the shares of the combination a1, the combination a2, the combination A3 and the combination a4 are 100000, 200000, 300000 and 400000, respectively, and the shares of the combination B1, the combination B2, the combination B3 and the combination B4 are 200000, 200000 and 200000, respectively. Then, the sum of the shares corresponding to the portfolio type a is 1000000, and the sum of the shares corresponding to the portfolio type B is 600000, and 1000000 and 600000 may be the fourth data when my party is the master trusted party.

See table 6 above (i.e., the projected user data table) where the equity trusts include 1490000 and 900000. When my party is the master trusted party, a sum 2390000 of 1490000 and 900000 may be used as the fifth data; the shares include 1000000 and 600000. When my party is the master trusted party, a sum 1600000 of 1000000 and 600000 may be used as the sixth data.

Since the third data 1490000 and 900000 are equal to the net entrusted assets of the corresponding type combinations in table 6, the fourth data 1000000 and 600000 are equal to the shares of the corresponding type combinations in table 6, the fifth data 2390000 is equal to the net entrusted assets of table 7, the sixth data 1600000 is equal to the shares of table 7, the ratio of the third data to the corresponding fourth data, i.e., 1490000/1000000 ═ 1.49 and 900000/600000 ═ 1.5 are equal to the net unit values of the corresponding type combinations in table 6, and the ratio of the fifth data to the sixth data, i.e., 2390000/1600000 ═ 1.49375 is equal to the net unit values in table 7, respectively. Therefore, it is possible to determine that the data in the plurality of user data tables corresponds to each other, that is, that the data in the plurality of user data tables is correct.

In addition, it should be noted that if the net trusted value of the first data is not equal to the net trusted value in the schedule user data table, the shares of the second data are not equal to the shares in the schedule user data table, or the ratio of the first data to the second data is not equal to the net unit value in the schedule user data table, it is determined that the inter-table data of the multiple user data tables is incorrect; and if the third data are not equal to the net entrusted assets of the corresponding type combination in the planned user data table, the fourth data are not equal to the shares of the corresponding type combination in the planned user data table, the fifth data are not equal to the net entrusted assets in the unified planned user data table, the sixth data are not equal to the shares in the unified planned user data table, the ratio of the third data to the corresponding fourth data is not equal to the net unit value of the corresponding type combination in the planned user data table, and the ratio of the fifth data to the sixth data is not equal to the net unit value in the unified planned user data table, the inter-table data of the user data tables are judged to be incorrect.

Therefore, by implementing the optional implementation mode, the correctness of the data can be ensured by accounting the data in the table and the data between the tables, so that the problem of poor operation effect caused by data errors can be solved, and the operation efficiency of the user data is improved; and, can reduce the cost of labor through automatic data detection, promote data detection efficiency.

In step S130, the user data table is transmitted to the receiving device.

In this example embodiment, when the local device functions as trusted (i.e., i.i., i.e., i.i., i.e., i.i., i.i.i., i., i.e., i., i.e., i., i.e., i., i.e., i., i, i., i.e., i., i, a trusted), the trusted, the), the recipient, the receiver device may include a master, the principal, and agent device, the recipient device may include the principal, the principal may include a master, the principal device; when the local device is functioning as the master trusted party (i.e., my is the master trusted party), the recipient device may comprise an agent device.

In this example implementation manner, referring to fig. 3 optionally, fig. 3 schematically illustrates a flowchart of transmitting a user data table to a receiving device according to an embodiment of the present disclosure. As shown in fig. 3, transmitting the user data table to the receiving device includes steps S310 and S320, where:

step S310: and processing the user data table according to the receiving rule corresponding to the receiving party equipment.

Step S320: and determining the transmission time according to the current time and transmitting the processed user data table to the receiving party equipment at the transmission time.

In this example embodiment, the receiving rule specifies the data transmission requirements of the receiving device. For example, the receiver device includes agent device a, agent device B, and agent device C; the receiving rule of the agent side equipment A is that the combined user data corresponds to an evaluation information type 01, the plan user data corresponds to an evaluation information type 02 and the unified plan user data corresponds to an evaluation information type 03; the receiving rule of the agent side equipment B is that the evaluation information type 02 corresponding to the combined user data, the evaluation information type 03 corresponding to the plan user data and the evaluation information type 01 corresponding to the unified plan user data; the receiving rule of the agent side device C is the evaluation information type 03 corresponding to the combined user data, the evaluation information type 01 corresponding to the planned user data, and the evaluation information type 02 corresponding to the unified planned user data. According to the receiving rule, each user data table can be adjusted to accord with the receiving rule and then transmitted. In addition, the transmission time can be understood as: pricing day + N days; wherein N is a positive integer.

Therefore, by implementing the optional implementation mode, the user data table can be correspondingly processed according to different receiving rules, so that the processing efficiency of the user data is improved.

In step S140, instruction feedback is performed to the sender device corresponding to the incorrect data.

In the present exemplary embodiment, the incorrect data may be understood as error data.

In this example embodiment, optionally, referring to fig. 4, fig. 4 schematically shows a flowchart of instruction feedback to a sender device corresponding to incorrect data according to an embodiment of the present disclosure. As shown in fig. 4, the instruction feedback to the sender device corresponding to the incorrect data includes steps S410 to S430, where:

step S410: detecting whether the sender device corresponding to the incorrect data is a first target device or a second target device, and if the sender device corresponding to the incorrect data is the first target device, executing step S420; if the sender device corresponding to the incorrect data is the second target device, step S430 is executed.

Step S420: feeding back an instruction for instructing recalculation of user data to the first target device; wherein the first target device is used for calculating user data.

Step S430: feeding back an instruction for instructing to re-audit the user data to the second target device; wherein the second target device is used to audit the user data.

In this example embodiment, the first target device may be a hosting device, and the second target device may be a trusted device.

Therefore, by implementing the optional implementation mode, the efficiency of recalculation and reexamination of the data can be improved through the automatic feedback instruction, and the processing efficiency of the user data is further improved.

Therefore, the data detection method shown in fig. 1 can overcome the problem of high labor cost to a certain extent, so that the labor cost is reduced, and the data detection efficiency is improved through automatic data detection, so that the data transmission efficiency is improved; and the problem of poor processing effect on user data caused by data errors among the multi-party equipment can be solved through multi-dimensional data correctness detection.

Referring to fig. 5, fig. 5 schematically illustrates a flow chart of a data detection method in accordance with another embodiment of the present disclosure. As shown in fig. 5, the data detection method in another embodiment includes steps S500 to S520, where:

step S500: and receiving the user data transmitted by the sender equipment.

Step S502: judging whether the function of the local equipment is entrusted or main entrusted, and if the function of the local equipment is entrusted, executing a step S504; if the function of the local device is primarily trusted, step S506 is executed.

Step S504: a combined user data table and a scheduled user data table are generated from the user data.

Step S506: and generating a combined user data table, a planned user data table and a unified planned user data table according to the user data.

Step S508: performing intra-table data correctness detection and inter-table data correctness detection on the combined user data table and the planned user data table; when the detection result indicates that the data in the plurality of user data tables are correct, executing step S516; when the detection result indicates that at least one of the plurality of user data tables includes incorrect data, step S512 is performed.

Step S510: performing intra-table data correctness detection and inter-table data correctness detection on the combined user data table, the planned user data table and the unified planned user data table; executing step S516 when the detection result indicates that the data in the plurality of user data tables are correct, and executing step S512 when the detection result indicates that the combined user data table and/or the planned user data table comprise incorrect data; when the detection result indicates that the unified scheduled user data table includes incorrect data, step S514 is performed.

Step S512: and feeding back an instruction for indicating recalculation of the user data to the hosting-side device corresponding to the incorrect data.

Step S514: and feeding back an instruction for indicating to re-audit the user data to the trustee equipment corresponding to the incorrect data.

Step S516: processing the user data table according to a receiving rule corresponding to the receiving party equipment; when the local device is trusted, executing step S518; when the role of the local device is primarily trusted, step S520 is performed.

Step S518: and transmitting the user data table to the main trustee device, the main trustee device and the agent device.

Step S520: the user data table is transmitted to the agent device.

Specifically, when the local device receives the user data transmitted by the sender device, corresponding operations may be performed according to the function of the local device, if the function of the local device is trusted (i.e., my party is the trusted party), the combined user data table and the planned user data table are generated according to the user data, and if the function of the local device is mainly trusted (i.e., my party is the main trusted party), the combined user data table, the planned user data table, and the unified planned user data table are generated according to the user data.

Further, intra-table data correctness detection and inter-table data correctness detection may be performed for the combined user data table and the planned user data table, or intra-table data correctness detection and inter-table data correctness detection may be performed for the combined user data table, the planned user data table, and the unified planned user data table.

If the detection results of the internal data correctness detection and the inter-table data correctness detection indicate that the data in the plurality of user data tables are correct, the user data tables can be processed according to the receiving rule corresponding to the receiving party equipment, and then the user data tables are transmitted to the corresponding receiving party equipment according to the functions of the local equipment; if my party is a trustee, the user data table can be transmitted to the main trustee device, the main trustee device and the agent device, and if my party is a main trustee, the user data table can be transmitted to the agent device.

On the other hand, when my party is the trustee and the detection result indicates that at least one user data table of the plurality of user data tables includes incorrect data, an instruction for instructing recalculation of the user data may be fed back to the hosting-party device corresponding to the incorrect data, and the local device may further receive the recalculated user data transmitted by the sender device (i.e., hosting-party device) again. When my party is the main trusted party and the detection result indicates that the combined user data table and/or the plan user data table include incorrect data, an instruction for indicating recalculation of the user data may also be fed back to the hosting party device corresponding to the incorrect data, and the recalculated user data transmitted by the sender device (i.e., hosting party device) is received again. When my party is the main trustee and the detection result indicates that the unified plan user data table includes incorrect data, an instruction for indicating to re-audit the user data can be fed back to the hosting party device corresponding to the incorrect data, and the re-audited user data transmitted by the sender device (i.e., the hosting party device) is received again.

Therefore, by implementing the data detection method shown in fig. 5, the problem of high labor cost can be overcome to a certain extent, so that the labor cost is reduced, and the data detection efficiency is improved through automatic data detection, so that the data transmission efficiency is improved; and the problem of poor processing effect on user data caused by data errors among the multi-party equipment can be solved through multi-dimensional data correctness detection.

It should be noted that although the steps of the methods of the present disclosure are depicted in the drawings in a particular order, this does not require or imply that the steps must be performed in this particular order or that all of the depicted steps must be performed to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step execution, and/or one step broken down into multiple step executions, etc.

Further, in the present exemplary embodiment, a data detection apparatus is also provided. The data detection device can be applied to a server or terminal equipment. Referring to fig. 6, the data detection apparatus may include a data receiving unit 601, a data detecting unit 602, and a data transmitting unit 603, wherein:

a data receiving unit 601, configured to receive user data transmitted by a sender device, and generate a plurality of user data tables according to the user data; the user data tables are used for representing user data in different representation modes;

a data detection unit 602, configured to perform multidimensional data correctness detection on multiple user data tables;

a data transmission unit 603, configured to transmit the user data table to the receiving device when the detection result indicates that the data in the multiple user data tables are correct;

the data transmission unit 603 is further configured to perform instruction feedback to a device of a sending party corresponding to incorrect data when the detection result indicates that at least one user data table in the multiple user data tables includes incorrect data.

Therefore, the data detection device shown in fig. 6 can overcome the problem of high labor cost to a certain extent, so that the labor cost is reduced, and the data detection efficiency is improved through automatic data detection, so that the data transmission efficiency is improved; and the problem of poor processing effect on user data caused by data errors among the multi-party equipment can be solved through multi-dimensional data correctness detection.

In an exemplary embodiment of the present disclosure, a manner of transmitting the user data table to the receiving device by the data transmission unit 603 may specifically be:

the data transmission unit 603 processes the user data table according to the receiving rule corresponding to the receiving device;

the data transmission unit 603 determines a transmission time according to the current time and transmits the processed user data table to the receiving device at the transmission time.

Therefore, by implementing the optional embodiment, the user data table can be correspondingly processed according to different receiving rules, so that the processing efficiency of the user data is improved.

In an exemplary embodiment of the disclosure, the way of performing multidimensional data correctness detection on a plurality of user data tables by the data detection unit 602 may specifically be:

the data detection unit 602 performs intra-table data correctness detection on the plurality of user data tables respectively;

if the detection result indicates that the intra-table data of the plurality of user data tables are all correct, the data detection unit 602 performs inter-table data correctness detection on the plurality of user data tables.

The way for the data detection unit 602 to perform intra-table data correctness detection on the multiple user data tables may specifically be:

if the plurality of user data tables include a combined user data table and a planned user data table, the data detection unit 602 calculates a first ratio of the net worth of trusted assets to the shares in the combined user data table and a second ratio of the net worth of trusted assets to the shares in the planned user data table;

if the first ratio is equal to the net unit value in the combined user data table, the data detection unit 602 determines that the data in the combined user data table is correct; if the second ratio is equal to the net unit value in the data table of the planned user, the data detection unit 602 determines that the data in the data table of the planned user is correct;

if the plurality of user data tables include a combined user data table, a planned user data table, and a unified planned user data table, the data detection unit 602 calculates a first ratio, a second ratio, and a third ratio of the net worth of trusted assets to the share in the unified planned user data table;

if the first ratio is equal to the unit net value in the combined user data table, the data detection unit 602 determines that the data in the combined user data table is correct; if the second ratio is equal to the net unit value in the data table of the planned user, the data detection unit 602 determines that the data in the data table of the planned user is correct; if the third ratio is equal to the net unit in the unified scheduling user data table, the data detection unit 602 determines that the data in the combined user data table is correct.

The method for the inter-table data correctness detection of the data detection unit 602 for multiple user data tables may specifically be:

if the plurality of user data tables include a combined user data table and a planned user data table, the data detection unit 602 calculates the sum of the net worth of trusted assets in the combined user data table as first data; the data detection unit 602 calculates the sum of the shares in the combined user data table as second data;

if the first data is equal to the net entrusted asset value in the schedule user data table, the second data is equal to the share in the schedule user data table, and the ratio of the first data to the second data is equal to the net unit value in the schedule user data table, the data detection unit 602 determines that the inter-table data of the plurality of user data tables is correct;

if the plurality of user data tables include a combined user data table, a planned user data table and a unified planned user data table, the data detection unit 602 calculates sums respectively corresponding to the net worth of trusteed assets of each type of combination in the combined user data table to obtain a plurality of third data; the data detection unit 602 calculates the sum of the shares of each type of combination in the combined user data table to obtain a plurality of fourth data; the data detection unit 602 calculates the sum of the net worth of trusted assets in the planned user data table as fifth data; the data detection unit 602 calculates the sum of the shares in the planned user data table as sixth data;

if the third data are equal to the net worth of assets due to the corresponding type combination in the planned user data table, the fourth data are equal to the shares of the corresponding type combination in the planned user data table, the fifth data are equal to the net worth of assets due to the unified planned user data table, the sixth data are equal to the shares in the unified planned user data table, the ratio of the third data to the corresponding fourth data is equal to the net worth of units of the corresponding type combination in the planned user data table, and the ratio of the fifth data to the sixth data is equal to the net worth of units in the unified planned user data table, the data detection unit 602 determines that the inter-table data of the user data tables are correct.

Therefore, by implementing the optional embodiment, the correctness of the data can be ensured by checking the data in the table and the data between the tables, so that the problem of poor operation effect caused by data errors can be solved, and the operation efficiency of the user data is improved; and, can reduce the cost of labor through automatic data detection, promote data detection efficiency.

In an exemplary embodiment of the present disclosure, a manner that the data transmission unit 603 performs instruction feedback to the sender device corresponding to the incorrect data may specifically be:

if the sender device corresponding to the incorrect data is the first target device, the data transmission unit 603 feeds back an instruction for instructing to recalculate the user data to the first target device; wherein the first target device is used for calculating user data;

if the sender device corresponding to the incorrect data is the second target device, the data transmission unit 603 feeds back an instruction for instructing to re-check the user data to the second target device; the second target device is used for auditing the user data.

Therefore, by implementing the optional embodiment, the efficiency of recalculation and reexamination of the data can be improved through the automatic feedback instruction, and the processing efficiency of the user data is further improved.

It should be noted that although in the above detailed description several modules or units of the device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit, according to embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into embodiments by a plurality of modules or units.

For details which are not disclosed in the embodiments of the apparatus of the present disclosure, please refer to the embodiments of the data detection method described above in the present disclosure for the details which are not disclosed in the embodiments of the apparatus of the present disclosure.

Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice in the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.

It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Fig. 7 is a schematic diagram illustrating a system architecture of an exemplary application environment to which a data detection method and a data detection apparatus according to an embodiment of the present disclosure may be applied.

As shown in fig. 7, the system architecture 700 may include one or more of the

terminal devices

701, 702, 703, a network 704 and a server 705. The network 704 serves to provide a medium for communication links between the

terminal devices

701, 702, 703 and the server 705. Network 704 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few. The

terminal devices

701, 702, 703 may be various electronic devices having a display screen including, but not limited to, desktop computers, portable computers, smart phones, tablet computers, and the like. It should be understood that the number of terminal devices, networks, and servers in fig. 7 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation. For example, the server 705 may be a server cluster composed of a plurality of servers, or the like.

The data detection method provided by the embodiment of the present disclosure is generally executed by the server 705, and accordingly, the data detection apparatus is generally disposed in the server 705. However, it is easily understood by those skilled in the art that the data detection method provided in the embodiment of the present disclosure may also be executed by the

terminal device

701, 702, or 703, and accordingly, the data detection apparatus may also be disposed in the

terminal device

701, 702, or 703, which is not particularly limited in this exemplary embodiment. For example, in an exemplary embodiment, the server 705 may receive user data transmitted by the sender device, and generate a plurality of user data tables according to the user data; multi-dimensional data correctness detection can be carried out on a plurality of user data tables; if the detection result shows that the data in the plurality of user data tables are correct, transmitting the user data tables to the receiving party equipment; and if the detection result shows that at least one user data table in the plurality of user data tables comprises incorrect data, performing instruction feedback on sender equipment corresponding to the incorrect data.

It should be noted that the computer system 800 of the electronic device shown in fig. 8 is only an example, and should not bring any limitation to the functions and the application scope of the embodiment of the present disclosure.

As shown in fig. 8, the computer system 800 includes a Central Processing Unit (CPU)801 that can perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)802 or a program loaded from a storage section 808 into a Random Access Memory (RAM) 803. In the (RAM)803, various programs and data necessary for system operation are also stored. The (CPU)801, (ROM)802, and (RAM)803 are connected to each other by a bus 804. An input/output (I/O) interface 805 is also connected to bus 804.

The following components are connected to (I/O) interface 805: an input portion 806 including a keyboard, a mouse, and the like; an output section 807 including components such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and a speaker; a storage section 808 including a hard disk and the like; and a communication section 809 including a network interface card such as a LAN card, a modem, or the like. The communication section 809 performs communication processing via a network such as the internet. A drive 810 is also connected to the (I/O) interface 805 as needed. A removable medium 811 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 810 as necessary, so that the computer program read out therefrom is mounted on the storage section 808 as necessary.

In particular, the processes described below with reference to the flowcharts may be implemented as computer software programs, according to embodiments of the present disclosure. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program can be downloaded and installed from a network through the communication section 809 and/or installed from the removable medium 811. When the computer program is executed by a Central Processing Unit (CPU)801, various functions defined in the method and apparatus of the present application are performed. In some embodiments, the computer system 800 may further include an AI (Artificial Intelligence) processor for processing computing operations related to machine learning.

It should be noted that the computer readable media shown in the present disclosure may be computer readable signal media or computer readable storage media or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In contrast, in the present disclosure, a computer-readable signal medium may include a propagated data signal with computer-readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The units described in the embodiments of the present disclosure may be implemented by software, or may be implemented by hardware, and the described units may also be disposed in a processor. Wherein the names of the elements do not in some way constitute a limitation on the elements themselves.

As another aspect, the present application also provides a computer-readable medium, which may be contained in the electronic device described in the above embodiments; or may exist separately without being assembled into the electronic device. The computer readable medium carries one or more programs which, when executed by an electronic device, cause the electronic device to implement the method as described in the embodiments below. For example, the electronic device may implement the steps shown in fig. 1 to 5, and the like.

Claims

1. A method of data detection, the method comprising:

receiving user data transmitted by sender equipment, and generating a plurality of user data tables according to the user data; wherein the plurality of user data tables are used for characterizing the user data in different representation ways;

carrying out multi-dimensional data correctness detection on the plurality of user data tables;

if the detection result shows that the data in the user data tables are correct, transmitting the user data tables to receiving party equipment; if the detection result shows that at least one user data table in the plurality of user data tables comprises incorrect data, if sender equipment corresponding to the incorrect data is first target equipment, feeding back an instruction for indicating to recalculate the user data to the first target equipment; wherein the first target device is to calculate the user data; if the sender equipment corresponding to the incorrect data is second target equipment, feeding back an instruction for indicating to re-examine the user data to the second target equipment; wherein the second target device is configured to audit the user data; the first target device is a hosting device, and the second target device is a trusted device;

when the function of the local equipment is entrusted, the sender equipment comprises a trustee equipment; when the local device is mainly trusted, the sender device comprises a main trustee device and a trusted device; the user data comprises various types of data for user asset investment estimation; the receiver device is a master trustee device, the master trustee device or an agent device; when my party is a trusted party, the plurality of user data tables comprise a combined user data table and a planned user data table; and when the principal is the main trusted party, the plurality of user data tables comprise the combined user data table, the plan user data table and the unified plan user data table.

2. The method of claim 1, wherein transmitting the user data table to a recipient device comprises:

and determining transmission time according to the current time and transmitting the processed user data table to the receiving party equipment at the transmission time.

3. The method of claim 1, wherein performing multidimensional data correctness checking on the plurality of user data tables comprises:

performing in-table data correctness detection on the plurality of user data tables respectively;

and if the detection result shows that the in-table data of the user data tables are correct, performing inter-table data correctness detection on the user data tables.

4. The method of claim 3, wherein:

the plan user data table comprises at least one of valuation date, annuity plan registration number, annuity plan name, net unit value, share, net entrusted asset value and valuation information type;

the unified plan user data table includes at least one of valuation date, annuity plan registration number, unified plan name, net of units, share, net of committed assets, and valuation information type.

5. The method of claim 4, wherein performing intra-table data correctness checking on each of the plurality of user data tables comprises:

if the combined user data table and the planned user data table are included in the plurality of user data tables, calculating a first ratio of net trusts to shares in the combined user data table and a second ratio of net trusts to shares in the planned user data table;

if the first ratio is equal to the unit net value in the combined user data table, judging that the data in the combined user data table is correct; if the second ratio is equal to the unit net value in the planned user data table, judging that the data in the planned user data table is correct;

if the plurality of user data tables comprise the combined user data table, the planned user data table and the unified planned user data table, calculating the first ratio, the second ratio and a third ratio of the net-worth-trusted assets to the shares in the unified planned user data table;

if the first ratio is equal to the unit net value in the combined user data table, judging that the data in the combined user data table is correct; if the second ratio is equal to the net unit value in the planned user data table, judging that the data in the planned user data table is correct; and if the third ratio is equal to the unit net value in the unified planning user data table, judging that the data in the combined user data table is correct.

6. The method of claim 4, wherein performing inter-table data correctness checking on the plurality of user data tables comprises:

if the plurality of user data tables comprise the combined user data table and the planned user data table, calculating the sum of the net worth of trusted assets in the combined user data table as first data; calculating the sum of the shares in the combined user data table as second data;

if the net trusts in the first data and the planned user data table are equal, the shares in the second data and the planned user data table are equal, and the ratio of the first data to the second data is equal to the net unit value in the planned user data table, judging that the inter-table data of the user data tables is correct;

if the plurality of user data tables comprise the combined user data table, the plan user data table and the unified plan user data table, calculating the sum of the trusteeship net worth of each type of combination in the combined user data table to obtain a plurality of third data; calculating the sum of the shares of each type of combination in the combined user data table to obtain a plurality of fourth data; calculating the sum of the net assets trusteeship in the data table of the plan user as fifth data; calculating the sum of the shares in the planned user data table as sixth data;

and if the third data are respectively equal to the net entrusted assets of the corresponding type combination in the planned user data table, the fourth data are respectively equal to the shares of the corresponding type combination in the planned user data table, the fifth data are equal to the net entrusted assets in the unified planned user data table, the sixth data are equal to the shares in the unified planned user data table, the ratio of the third data to the corresponding fourth data is equal to the net unit value of the corresponding type combination in the planned user data table, and the ratio of the fifth data to the sixth data is equal to the net unit value in the unified planned user data table, then the inter-table data of the user data tables are judged to be correct.

7. A data detection apparatus, comprising:

the data receiving unit is used for receiving the user data transmitted by the sender equipment and generating a plurality of user data tables according to the user data; wherein the plurality of user data tables are used to characterize the user data in different representations;

the data transmission unit is used for transmitting the user data tables to the receiving device when the detection result shows that the data in the user data tables are correct;

the data transmission unit is further configured to, when the detection result indicates that at least one user data table of the multiple user data tables includes incorrect data, if sender equipment corresponding to the incorrect data is first target equipment, feed back an instruction for instructing recalculation of the user data to the first target equipment; wherein the first target device is to calculate the user data; if the sender equipment corresponding to the incorrect data is second target equipment, feeding back an instruction for indicating to re-examine the user data to the second target equipment; wherein the second target device is configured to audit the user data; the first target device is a hosting device, and the second target device is a trusted device;

8. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the method of any one of claims 1-6.

9. An electronic device, comprising:

a processor; and

a memory for storing executable instructions of the processor;

wherein the processor is configured to perform the method of any of claims 1-6 via execution of the executable instructions.