CN112150173B - Resource return processing method and device, computer readable medium and electronic equipment - Google Patents
Resource return processing method and device, computer readable medium and electronic equipment Download PDFInfo
- Publication number
- CN112150173B CN112150173B CN201910562757.2A CN201910562757A CN112150173B CN 112150173 B CN112150173 B CN 112150173B CN 201910562757 A CN201910562757 A CN 201910562757A CN 112150173 B CN112150173 B CN 112150173B
- Authority
- CN
- China
- Prior art keywords
- resource
- value
- return
- target
- target user
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000003672 processing method Methods 0.000 title claims abstract description 27
- 238000012545 processing Methods 0.000 claims abstract description 88
- 238000000034 method Methods 0.000 claims abstract description 66
- 230000008569 process Effects 0.000 claims abstract description 46
- 238000004422 calculation algorithm Methods 0.000 claims description 16
- 238000012546 transfer Methods 0.000 claims description 16
- 238000004364 calculation method Methods 0.000 claims description 15
- 238000004590 computer program Methods 0.000 claims description 8
- 230000010365 information processing Effects 0.000 abstract description 2
- 238000010586 diagram Methods 0.000 description 17
- 230000008520 organization Effects 0.000 description 8
- 230000004048 modification Effects 0.000 description 7
- 238000012986 modification Methods 0.000 description 7
- 238000004891 communication Methods 0.000 description 6
- 230000006870 function Effects 0.000 description 6
- 230000003287 optical effect Effects 0.000 description 4
- 230000009471 action Effects 0.000 description 2
- 230000006978 adaptation Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000003203 everyday effect Effects 0.000 description 2
- 239000000835 fiber Substances 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 230000007246 mechanism Effects 0.000 description 2
- 238000005457 optimization Methods 0.000 description 2
- 230000000644 propagated effect Effects 0.000 description 2
- 239000004065 semiconductor Substances 0.000 description 2
- RWSOTUBLDIXVET-UHFFFAOYSA-N Dihydrogen sulfide Chemical compound S RWSOTUBLDIXVET-UHFFFAOYSA-N 0.000 description 1
- 230000002159 abnormal effect Effects 0.000 description 1
- 230000005856 abnormality Effects 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000002354 daily effect Effects 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000002708 enhancing effect Effects 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 230000003252 repetitive effect Effects 0.000 description 1
- 230000002441 reversible effect Effects 0.000 description 1
- 230000002123 temporal effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0283—Price estimation or determination
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/04—Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
Landscapes
- Business, Economics & Management (AREA)
- Accounting & Taxation (AREA)
- Finance (AREA)
- Engineering & Computer Science (AREA)
- Development Economics (AREA)
- Strategic Management (AREA)
- Theoretical Computer Science (AREA)
- Marketing (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Economics (AREA)
- Technology Law (AREA)
- Entrepreneurship & Innovation (AREA)
- Game Theory and Decision Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a resource return processing method and device, a storage medium and electronic equipment, and relates to the technical field of information processing. The resource return processing method comprises the following steps: for each user holding the resource, respectively calculating a first estimated return value corresponding to each user; determining a user with a first estimated return value smaller than a first preset threshold value as a first target user, configuring a resource return value of the first target user as a target value, and recording the target value into an account of the first target user; after the report file sent by the resource processing end is obtained, if the resource report value of the first target user in the report file is consistent with the target value, the resource report processing process of the first target user is completed. The invention can ensure that the resource return data is recorded to the user account on time under the condition that the number of users is increased, thereby reducing the burden of machines.
Description
Technical Field
The present disclosure relates to the field of information processing technologies, and in particular, to a resource return processing method, a resource return processing device, a computer readable medium, and an electronic apparatus.
Background
With the continuous development of internet application technology, more and more resources are applied, and these resources may include, for example, financial products. The resource may transact over a network and may generate rewards, in which the process of recording the resource rewards to the user's account is an important step in the processing of the resource.
At present, after receiving the report file sent by the resource processing end, the resource service end executes the process of recording the resource report to the user account. However, as the number of users increases, the processing pressure on the resource server increases with the assurance that the resource return is recorded to the user account on time, resulting in higher and higher machine costs.
It should be noted that the information disclosed in the above background section is only for enhancing understanding of the background of the present disclosure and thus may include information that does not constitute prior art known to those of ordinary skill in the art.
Disclosure of Invention
The disclosure is directed to a resource return processing method, a resource return processing device, a computer readable medium and an electronic apparatus, and thus, at least to some extent, overcome the problem of higher and higher machine cost in recording resource returns to user accounts due to the limitations and disadvantages of the related art.
According to one aspect of the present disclosure, there is provided a resource return processing method, including: for each user holding the resource, respectively calculating a first estimated return value corresponding to each user; determining a user with a first estimated return value smaller than a first preset threshold value as a first target user, configuring a resource return value of the first target user as a target value, and recording the target value into an account of the first target user; after the report file sent by the resource processing end is obtained, if the resource report value of the first target user in the report file is consistent with the target value, the resource report processing process of the first target user is completed.
According to one aspect of the disclosure, a resource report processing device is provided, which includes a first estimated report calculation module, a first data recording module, and a first numerical comparison module.
Specifically, the first estimated return calculation module is configured to calculate, for each user holding a resource, a first estimated return value corresponding to each user; the first value recording module is used for determining a user with a first estimated return value smaller than a first preset threshold value as a first target user, configuring the resource return value of the first target user as a target value, and recording the target value into an account of the first target user; the first value comparison module is used for completing the resource return processing process of the first target user if the resource return value of the first target user in the return file is consistent with the target value after the return file sent by the resource processing end is acquired.
Optionally, the resource report processing device further includes a first report modification module.
Specifically, the first report modifying module is configured to modify the target data recorded in the account of the first target user into the resource report value of the first target user in the report file if the resource report value of the first target user in the report file is inconsistent with the target value.
Optionally, the first estimated return calculation module is configured to perform: calculating the number of resource parts capable of generating return in the resource; determining an estimated return statistic; and calculating a first estimated return value by using the number of resources capable of generating return in the resources and the estimated return statistical value.
Optionally, the process of calculating the number of resource copies capable of generating a reward in the resource by the first estimated reward calculation module is configured to perform: determining a value transfer algorithm corresponding to the type of the resource value transfer algorithm of the resource processing end; and calculating the number of the resources which can generate the return in the resources by using the determined numerical transfer algorithm.
Optionally, the resource report processing device further includes an optimized report processing module.
Specifically, the optimization rewards processing module is configured to perform: after the target value is recorded in the account of the first target user, if the real return statistical value is obtained, calculating a second estimated return value by using the real return statistical value for each user which holds resources except the first target user; determining a user with the second estimated return value smaller than a second preset threshold value as a second target user, configuring the resource return value of the second target user as a target value, and recording the target value into an account of the second target user; after the report file sent by the resource processing end is obtained, if the resource report value of the second target user in the report file is consistent with the target value, the resource report processing process of the second target user is completed.
Optionally, the resource report processing device further includes a second report modification module.
Specifically, the second report modifying module is configured to modify the target data recorded in the account of the second target user into the resource report value of the second target user in the report file if the resource report value of the second target user in the report file is inconsistent with the target value.
Optionally, the resource report processing device further includes other report processing modules.
Specifically, the rest of the report processing modules are used for determining the resource report values corresponding to all other users except the first target user and the second target user in the report file, and recording the resource report values into the accounts of the corresponding users respectively.
According to one aspect of the present disclosure, there is provided a computer readable medium having stored thereon a computer program which, when executed by a processor, implements the above-described resource return processing method.
According to one aspect of the present disclosure, there is provided an electronic device including: one or more processors; and the storage device is used for storing one or more programs, and when the one or more programs are executed by one or more processors, the one or more processors are enabled to realize the resource return processing method.
In the technical solutions provided in some embodiments of the present disclosure, by calculating estimated return values of each user before acquiring the return file, and recording the return values of a portion of the users in advance into the corresponding user accounts according to the estimated return values, a certain number of return value recording processes can be reduced after acquiring the return file, so that the problem of excessive calculation pressure caused by recording the return values into the user accounts after acquiring the return file is solved. In addition, the method comprises the following steps. After the report file is obtained, the accuracy of the report value record is ensured by comparing and verifying the resource report value in the report file with the report value recorded in advance.
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 disclosure and together with the description, serve to explain the principles of the disclosure. It will be apparent to those of ordinary skill in the art that the drawings in the following description are merely examples of the disclosure and that other drawings may be derived from them without undue effort. In the drawings:
FIG. 1 is a diagram of an exemplary system architecture to which a resource return processing method or a resource return processing apparatus according to an embodiment of the present invention may be applied;
FIG. 2 shows a schematic diagram of a computer system suitable for use in implementing an embodiment of the invention;
FIG. 3 schematically illustrates a flow chart of a resource return processing method according to an exemplary embodiment of the present disclosure;
FIG. 4 schematically illustrates an interaction diagram for explaining a resource return processing method of the present disclosure, taking monetary funds as an example;
fig. 5 schematically illustrates a block diagram of a resource return processing apparatus according to a first exemplary embodiment of the present disclosure;
FIG. 6 schematically illustrates a block diagram of a resource return processing apparatus according to a second exemplary embodiment of the present disclosure;
fig. 7 schematically illustrates a block diagram of a resource return processing apparatus according to a third exemplary embodiment of the present disclosure;
fig. 8 schematically illustrates a block diagram of a resource return processing apparatus according to a fourth exemplary embodiment of the present disclosure;
fig. 9 schematically illustrates a block diagram of a resource return processing apparatus according to a fifth exemplary embodiment of the present disclosure.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. However, the exemplary embodiments may be embodied in many 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 the 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 present disclosure. One skilled in the relevant art will recognize, however, that the aspects of the disclosure may be practiced without one or more of the specific details, or with other methods, components, devices, steps, etc. 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 a repetitive description thereof 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 software or in one or more hardware modules or integrated circuits or in different networks and/or processor devices and/or microcontroller devices.
The flow diagrams depicted in the figures are exemplary only and not necessarily all steps are included. For example, some steps may be decomposed, and some steps may be combined or partially combined, so that the order of actual execution may be changed according to actual situations. In addition, all of the following terms "first," "second," are used for distinguishing purposes only and should not be taken as a limitation of the present disclosure.
FIG. 1 is a diagram of an exemplary system architecture to which a resource return processing method or a resource return processing apparatus according to an embodiment of the present invention may be applied.
As shown in fig. 1, system architecture 1000 may include one or more of terminal devices 1001, 1002, 1003, a network 1004, and a server 1005. The network 1004 serves as a medium for providing a communication link between the terminal apparatuses 1001, 1002, 1003 and the server 1005. The network 1004 may include various connection types, such as wired, wireless communication links, or fiber optic cables, among others.
It should be understood that the number of terminal devices, networks and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation. For example, the server 1005 may be a server cluster formed by a plurality of servers.
A user can interact with a server 1005 via a network 1004 using terminal apparatuses 1001, 1002, 1003 to receive or transmit messages or the like. The terminal devices 1001, 1002, 1003 may be various electronic devices having a display screen including, but not limited to, smartphones, tablet computers, portable computers, desktop computers, and the like.
The server 1005 may be a server providing various services. For example, the server 1005 may calculate, for each user holding a resource, a first estimated return value corresponding to each user, determine that the user whose first estimated return value is smaller than a first preset threshold is a first target user, configure the resource return value of the first target user as a target value, record the target value into an account of the first target user, and after obtaining a return file sent by the resource processing end, if the resource return value of the first target user in the return file is consistent with the target value, complete the resource return processing procedure of the first target user.
In addition, if the resource return value of the first target user in the return file is inconsistent with the target value, the server 1005 may modify the target data recorded in the account of the first target user to the resource return value of the first target user in the return file.
It should be noted that, the resource return processing method according to the exemplary embodiment of the present disclosure is generally performed by the server 1005, and accordingly, the resource return processing apparatus described below is generally configured in the server 1005.
In the following description, the server 1005 may be characterized as a resource server to represent a logging process by which resource rewards are performed.
Fig. 2 shows a schematic diagram of a computer system suitable for use in implementing the electronic device of the exemplary embodiments of the present disclosure.
It should be noted that the computer system 200 of the electronic device shown in fig. 2 is only an example, and should not impose any limitation on the functions and the application scope of the embodiments of the present disclosure.
As shown in fig. 2, the computer system 200 includes a Central Processing Unit (CPU) 201, which can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 202 or a program loaded from a storage section 208 into a Random Access Memory (RAM) 203. In the RAM 203, various programs and data required for the system operation are also stored. The CPU201, ROM 202, and RAM 203 are connected to each other through a bus 204. An input/output (I/O) interface 205 is also connected to bus 204.
The following components are connected to the I/O interface 205: an input section 206 including a keyboard, a mouse, and the like; an output portion 207 including a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker, and the like; a storage section 208 including a hard disk or the like; and a communication section 209 including a network interface card such as a LAN card, a modem, and the like. The communication section 209 performs communication processing via a network such as the internet. The drive 210 is also connected to the I/O interface 205 as needed. A removable medium 211 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is installed on the drive 210 as needed, so that a computer program read out therefrom is installed into the storage section 208 as needed.
In particular, according to embodiments of the present disclosure, the processes described below with reference to flowcharts may be implemented as computer software programs. 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 shown in the flowcharts. In such an embodiment, the computer program may be downloaded and installed from a network via the communication portion 209, and/or installed from the removable medium 211. When executed by a Central Processing Unit (CPU) 201, performs the various functions defined in the system of the present application.
It should be noted that the computer readable medium shown in the present disclosure may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any 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 context of this 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 the present disclosure, however, the computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, with the computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. 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 flowcharts 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 involved in the embodiments of the present disclosure may be implemented by means of software, or may be implemented by means of hardware, and the described units may also be provided in a processor. Wherein the names of the units do not constitute a limitation of the units themselves in some cases.
As another aspect, the present application also provides a computer-readable medium that may be contained in the electronic device described in the above embodiment; or may exist alone without being incorporated into the electronic device. The computer-readable medium carries one or more programs which, when executed by one of the electronic devices, cause the electronic device to implement the methods described in the embodiments below.
Fig. 3 schematically illustrates a flowchart of a resource return processing method of an exemplary embodiment of the present disclosure. Referring to fig. 3, the resource return processing method may include the steps of:
s32, respectively calculating a first estimated return value corresponding to each user aiming at each user holding the resource.
The resources described in the exemplary embodiments of the present disclosure generally refer to virtual resources, such as financial products including monetary funds. However, it is to be readily appreciated that the resources may also include some entity resources capable of generating rewards, and the kind of resources is not particularly limited by the present disclosure.
Users may obtain resources in a variety of ways, such as purchasing, gifting, transferring, etc.; for another example, a user may acquire a resource by completing a task of a resource provider; for another example, the resource may be distributed to the user as a reward.
For each user holding a resource, a first estimated return value corresponding to the user may be calculated. The present disclosure is not particularly limited in terms of the timing of this calculation process, and for example, the calculation process may be performed at any point in time after a fixed daily resource transfer period, and for example, the calculation process may be performed at a fixed point in time every day, for example, at 5 pm every day.
In addition, although the exemplary embodiments of the present disclosure perform the resource return processing in units of days (or days), those skilled in the art can conceive of schemes for performing the resource return processing in other time units (e.g., three days, weeks, months, quarters, years, etc.), which are all contemplated as falling within the present invention.
First, the number of resources in the user's possession of a resource that can produce a return can be calculated, considering that some resources may not produce a return on the day due to, for example, quick redemption (quick redemption for short), etc.
Specifically, the resource server may determine a corresponding value transfer algorithm according to the type of the resource value transfer algorithm at the resource processing end, so as to be applied to a process of calculating the number of resource parts capable of generating the return.
Taking a monetary fund as an example, in this case, the resource server is a fund sales agency and the resource processing end is a fund company. If it is determined that the algorithm of the fund company is a redemption priority method, the redemption priority method is also employed in accordance with the formula calculated herein, with specific reference to formula 1:
a1 =max { (T-1 day stock) - (T day fast redemption), 0} (equation 1)
Where A1 is the number of funds calculated using the redemption priority method that can produce a return, T-day can be, for example, the day of the day, T-1 day can be, for example, the day of the day before, T-1 day stock represents the number of shares of funds that the user owns on T-1 day, and T-day quick redemption represents the number of shares of funds that the user makes quick redemption on T day.
If it is determined that the algorithm of the fund company is the priority method, the priority method is also adopted for the formula calculated here, and specifically reference is made to formula 2:
a2 = (T-1 day stock) -max { (T day fast redemption-T day purchase), 0} (formula 2)
Wherein A2 is the number of funds calculated by the priority method and capable of generating return, and the purchase on the T day represents the number of the shares of the funds purchased by the user on the T day.
The resource server may then determine an estimated return statistic. The report statistics may be a statistical parameter related to resource report, and take a resource as a money fund as an example, the report statistics may refer to tens of thousands of funds benefits.
In an exemplary embodiment of the present disclosure, the predicted return statistics are required to be greater than the actual return statistics. For the process of determining the estimated return statistics, for example, the actual return statistics from day to day of the current week may be obtained, the average value of these may be calculated, and the result obtained by multiplying the average value by 2 may be determined as the estimated return statistics. However, the sum of the real return statistic of the previous day and an estimated amplitude may also be used as the estimated return statistic, for example, and the present disclosure does not limit the process of determining the estimated return statistic in particular.
Then, the first estimated report value may be calculated by using the determined number of resources capable of generating the report and the estimated report statistic value. Specifically, the product of the two may be determined as the first estimated return value.
S34, determining the user with the first estimated return value smaller than a first preset threshold value as a first target user, configuring the resource return value of the first target user as a target value, and recording the target value into an account of the first target user.
After determining the first estimated return value, the first estimated return value may be compared to a first predetermined threshold. The value of the first preset threshold is often smaller, so as to determine the user with smaller resource return. The first preset threshold may be set by a person, and the specific value thereof is not particularly limited in the present exemplary embodiment.
If the first estimated return value for the user is less than the first preset threshold, the user may be determined to be the first target user, and the resource return value for the first target user may be configured to be the target value, which may be 0 according to some embodiments of the present disclosure, however, it should be understood that the target value may have a different value in different scenarios.
Next, the target value may be recorded into an account of the first target user. Taking the resource as a monetary fund as an example, thereby, revenue billing for the first target user may be completed.
S36, after the report file sent by the resource processing end is obtained, if the resource report value of the first target user in the report file is consistent with the target value, the resource report processing process of the first target user is completed.
After the resource server records the target value into the account of the first target user, if the report file sent by the resource processing end is obtained, the resource report value of the first target user in the report file can be compared with the target value. The report file is a file determined by the resource processing end after counting and calculating the resource transfer value, and the report file may contain a real resource report value for each user holding the resource.
And if the resource return value of the first target user in the return file is consistent with the target value, completing the resource return processing process of the first target user. In one embodiment, the agreement may refer to that the resource return value of the first target user in the return file is equal to the target value; in another embodiment, the agreement may refer to that the difference between the resource return value of the first target user and the target value in the return file is smaller than a preset difference, where the preset difference may be set manually, and is usually smaller, and the specific value of the preset difference is not limited in this disclosure.
And if the resource return value of the first target user in the return file is inconsistent with the target value, repairing the data in the account of the first target user. Specifically, the target data recorded in the account of the first target user is modified into a resource return value of the first target user in the return file.
According to some embodiments of the disclosure, in order to further reduce the processing pressure of the fund server after obtaining the report file, after recording the target value into the account of the first target user, if a real report statistic is obtained, calculating a second estimated report value by using the real report statistic for each user who holds resources except the first target user. The specific calculation process is similar to the above-mentioned process of calculating the first estimated return value, except that the actual return statistic is used to replace the estimated return statistic to calculate the second estimated return value, and the specific process is not repeated.
The second estimated return value may then be compared to a second predetermined threshold. The second preset threshold may be set by a person, for example, may be set to be equal to the first preset threshold, and the specific numerical value thereof is not particularly limited in the present disclosure.
If the second estimated return value is less than the second predetermined threshold, the user may be determined to be a second target user, the resource return value of the second target user may be configured as the target value, and the target value may be recorded into the account of the second target user.
Similarly, after the report file sent by the resource processing end is obtained, the comparison and the processing process of the resource report value aiming at the first target user and the target value are executed, and whether the resource report value of the second target user in the report file is consistent with the target value can be also determined, if so, the resource report processing process of the second target user is completed. And if the target data are inconsistent, modifying the target data recorded in the account of the second target user into a resource return value of the second target user in the return file.
By recording the resource return value of the second target user into the account by using the real return statistical value, the processing pressure of the resource server for recording the return value after acquiring the return file is further reduced.
In addition, in the report file, the resource server may determine resource report values corresponding to the other users except the first target user and the second target user, and record the resource report values in accounts of the corresponding users respectively.
The following describes an interaction scenario related to the resource return processing method of the present disclosure, taking monetary funds as an example, with reference to fig. 4.
It should be noted that, in the example where the resource is a monetary fund, the resource server may be a fund sales organization, and the resource processing end may be a fund company.
For the daytime transaction phase, that is, between 15T-1 days and 15T days, the user performs the purchase or redemption operation by using the user terminal, in step S402, the user terminal may send a purchase or redemption request to the fund sales mechanism, and correspondingly, in step S404, the fund sales mechanism may feedback to the user terminal whether the purchase or redemption is successful.
For the primary clearing phase of the funds company, in step S406, the funds agency may report the purchase or redemption order file to the funds company at about 16 points on day T in order for the funds company to perform the primary clearing process of step S410.
In the process, in step S408, the fund sales organization may estimate the users with 0 profit and make 0 profit entries for those users. Specifically, the method of step S32 and step S34 may be adopted to execute the process of estimating the income and accounting of the user 0, where the target value is 0.
In step S410, the fund company may perform configuration operations such as, for example, reimbursement of the increased share, redemption of the decreased share, distribution of user revenue, and the like.
In step S412, the fund company may issue the true ten thousand fund returns to the fund sales organization. In addition, since the foundation judicial publishes the true ten thousand of foundation benefits to publicly available platforms, the foundation sponsor can also obtain the true ten thousand of foundation benefits from these platforms for the process of obtaining the true ten thousand of foundation benefits by the foundation sponsor.
In step S414, after the foundation sales organization obtains the real ten thousand foundation benefits, the real ten thousand foundation benefits may be utilized to estimate the users with 0 benefits again, and 0 benefits are credited to the users. The specific process is not described here in detail.
For the secondary clearing phase of the funds company, at step S416, after 24T-days, the funds agency may report the revenue deduction file to the funds company, i.e., the quick redemption order after 15T-days.
In step S418, the fund company performs a secondary clearing process. Specifically, after 24T days (i.e., after 0 t+1 days), the foundation company deducts the revenue related to the revenue deduction file, and then executes the process of step S420.
In step S420, after about T+11st, the Fund company issues a revenue file.
In step S422, for the stage of posting the revenue of the fund sales organization, the fund sales organization may perform posting processing on the revenue that is not posted in advance according to the revenue file, and may also compare the revenue that is posted in step S408 and step S414 with the revenue file, if they are consistent, the revenue posting process of the user is completed, and if they are inconsistent, the revenue value in the account is modified to the revenue value recorded in the revenue file.
Although there is a revenue comparison and possible modification process in step S422, it will be readily appreciated by those skilled in the art that the computer processing pressure of the comparison and modification process is much less than the computer processing pressure of revenue entry.
Through the above process, before the fund sales organization obtains the profit file, the profit accounting operation of some users is performed in advance, so that the number of users to be subjected to the profit accounting in the above step S422 can be reduced, thereby reducing the processing pressure of the fund sales organization, and under the condition that the number of users is increased, ensuring that each user can see the monetary fund profit on the T day before the designated time (for example, the t+16th day).
It should be noted that although the steps of the methods in the present disclosure are depicted in the accompanying drawings in a particular order, this does not require or imply that the steps must be performed in that particular order, or that all illustrated steps be performed, to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step to perform, and/or one step decomposed into multiple steps to perform, etc.
Further, in this example embodiment, a resource return processing apparatus is also provided.
Fig. 5 schematically shows a block diagram of a resource return processing apparatus according to an exemplary embodiment of the present disclosure. Referring to fig. 5, the resource return processing apparatus 5 according to an exemplary embodiment of the present disclosure may include a first estimated return calculation module 51, a first data recording module 53, and a first numerical comparison module 55.
Specifically, the first estimated return calculation module 51 may be configured to calculate, for each user holding a resource, a first estimated return value corresponding to each user; the first value recording module 53 may be configured to determine a user whose first estimated return value is less than a first preset threshold as a first target user, configure a resource return value of the first target user as a target value, and record the target value into an account of the first target user; the first value comparison module 55 may be configured to complete the resource return processing procedure of the first target user if the resource return value of the first target user in the return file is consistent with the target value after the return file sent by the resource processing end is acquired.
According to the resource report processing device of the exemplary embodiment of the disclosure, the estimated report value of each user is calculated before the report file is acquired, and the report value of a part of users is recorded in the corresponding user account in advance according to the estimated report value, so that a certain number of report value recording processes can be reduced after the report file is acquired, and the problem of overlarge calculation pressure caused by recording the report value in the user account after the report file is acquired is further solved. In addition, the method comprises the following steps. After the report file is obtained, the accuracy of the report value record is ensured by comparing and verifying the resource report value in the report file with the report value recorded in advance.
According to an exemplary embodiment of the present disclosure, referring to fig. 6, the resource return processing device 6 may further include a first return modification module 61 as compared to the resource return processing device 5.
Specifically, the first report modifying module 61 may be configured to modify the target data recorded in the account of the first target user into the resource report value of the first target user in the report file if the resource report value of the first target user in the report file is inconsistent with the target value.
By the embodiment, a small number of estimated abnormal values can be repaired, and the accuracy of resource return value recording is ensured.
According to an example embodiment of the present disclosure, the first estimated return calculation module 51 may be configured to perform: calculating the number of resource parts capable of generating return in the resource; determining an estimated return statistic; and calculating a first estimated return value by using the number of resources capable of generating return in the resources and the estimated return statistical value.
According to an example embodiment of the present disclosure, the process of the first estimated rewards calculation module 51 calculating the number of resource copies in the resource that can produce rewards may be configured to perform: determining a value transfer algorithm corresponding to the type of the resource value transfer algorithm of the resource processing end; and calculating the number of the resources which can generate the return in the resources by using the determined numerical transfer algorithm.
According to an exemplary embodiment of the present disclosure, referring to fig. 7, the resource return processing device 7 may further include an optimized return processing module 71 as compared to the resource return processing device 5.
Specifically, the optimization rewards processing module 71 may be configured to perform: after the resource return processing process of the first target user is completed, if the real return statistical value is obtained, calculating a second estimated return value by using the real return statistical value for each user which holds resources except the first target user; determining a user with the second estimated return value smaller than a second preset threshold value as a second target user, configuring the resource return value of the second target user as a target value, and recording the target value into an account of the second target user; after the report file sent by the resource processing end is obtained, if the resource report value of the second target user in the report file is consistent with the target value, the resource report processing process of the second target user is completed.
And the resource return value is estimated by combining the real return statistical value, and the return value record is carried out on the users meeting the corresponding conditions again, so that the processing pressure of recording the return value after the return file is received is further reduced.
According to an exemplary embodiment of the present disclosure, referring to fig. 8, the resource return processing device 8 may further include a second return modification module 81 as compared to the resource return processing device 7.
Specifically, the second report modifying module 81 may be configured to modify the target data recorded in the account of the second target user into the resource report value of the second target user in the report file if the resource report value of the second target user in the report file is inconsistent with the target value.
According to the embodiment, the value of the estimated abnormality under the condition of secondary estimation can be repaired, and the accuracy of the resource return value record is ensured.
According to an exemplary embodiment of the present disclosure, referring to fig. 9, the resource return processing device 9 may further include a remaining return processing module 91 as compared to the resource return processing device 8.
Specifically, the remaining report processing module 91 may be configured to determine, in the report file, resource report values corresponding to the other users except the first target user and the second target user, and record the resource report values in accounts of the corresponding users respectively.
With this embodiment, the resource return record operation of all users is completed.
Since each functional module of the program execution performance analysis device according to the embodiment of the present invention is the same as that of the above-described method embodiment of the present invention, a detailed description thereof will be omitted.
From the above description of embodiments, those skilled in the art will readily appreciate that the example embodiments described herein may be implemented in software, or may be implemented in software in combination with the necessary hardware. Thus, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (may be a CD-ROM, a U-disk, a mobile hard disk, etc.) or on a network, including several instructions to cause a computing device (may be a personal computer, a server, a terminal device, or a network device, etc.) to perform the method according to the embodiments of the present disclosure.
Furthermore, the above-described drawings are only schematic illustrations of processes included in the method according to the exemplary embodiment of the present invention, and are not intended to be limiting. It will be readily appreciated that the processes shown in the above figures do not indicate or limit the temporal order of these processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, for example, among a plurality of modules.
It should be noted that although in the above detailed description several modules or units of a 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 in accordance with embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into a plurality of modules or units to be embodied.
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 adaptations, 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 within 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 is to be understood that the present disclosure is not limited to the precise arrangements and instrumentalities shown in the drawings, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (8)
1. A method for processing resource returns, comprising:
determining a value transfer algorithm corresponding to the type of the resource value transfer algorithm of the resource processing end aiming at each user holding the resource, and calculating the number of the resources which can generate return in the resource by using the determined value transfer algorithm; determining an estimated return statistical value, and calculating a first estimated return value by using the number of resources capable of generating return in the resources and the estimated return statistical value to obtain a first estimated return value corresponding to each user;
determining a user with the first estimated return value smaller than a first preset threshold value as a first target user, configuring the resource return value of the first target user as a target value, and recording the target value into an account of the first target user;
after the report file sent by the resource processing end is obtained, if the resource report value of the first target user in the report file is consistent with the target value, the resource report processing process of the first target user is completed.
2. The resource return processing method of claim 1 wherein the resource return processing method further comprises:
and if the resource return value of the first target user in the return file is inconsistent with the target value, modifying the target value recorded in the account of the first target user into the resource return value of the first target user in the return file.
3. The resource return processing method of claim 1 wherein after recording the target value into the account of the first target user, the resource return processing method further comprises:
if the real return statistical value is obtained, calculating a second estimated return value by using the real return statistical value for each user holding the resource except the first target user;
determining the user with the second estimated return value smaller than a second preset threshold value as a second target user, configuring the resource return value of the second target user as the target value, and recording the target value into an account of the second target user;
after the report file sent by the resource processing end is obtained, if the resource report value of the second target user in the report file is consistent with the target value, the resource report processing process of the second target user is completed.
4. The resource return processing method of claim 3 wherein the resource return processing method further comprises:
and if the resource return value of the second target user in the return file is inconsistent with the target value, modifying the target value recorded in the account of the second target user into the resource return value of the second target user in the return file.
5. The resource return processing method of claim 4 wherein the resource return processing method further comprises:
and determining resource return values corresponding to all other users except the first target user and the second target user in the return file, and respectively recording the resource return values into accounts of the corresponding users.
6. A resource return processing apparatus, comprising:
the first estimated return calculation module is used for determining a value transfer algorithm corresponding to the type of the resource value transfer algorithm of the resource processing end aiming at each user holding the resource, and calculating the number of the resources which can generate return in the resource by using the determined value transfer algorithm; determining an estimated return statistical value, and calculating a first estimated return value by using the number of resources capable of generating return in the resources and the estimated return statistical value to obtain a first estimated return value corresponding to each user;
the first numerical value recording module is used for determining the user with the first estimated return value smaller than a first preset threshold value as a first target user, configuring the resource return value of the first target user as a target value, and recording the target value into an account of the first target user;
and the first numerical comparison module is used for completing the resource return processing process of the first target user if the resource return value of the first target user in the return file is consistent with the target value after the return file sent by the resource processing end is acquired.
7. A computer readable medium having stored thereon a computer program, wherein the program when executed by a processor implements a resource return processing method as claimed in any one of claims 1 to 5.
8. An electronic device, comprising:
one or more processors;
storage means for storing one or more programs that, when executed by the one or more processors, cause the one or more processors to implement the resource return processing method of any of claims 1 to 5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910562757.2A CN112150173B (en) | 2019-06-26 | 2019-06-26 | Resource return processing method and device, computer readable medium and electronic equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910562757.2A CN112150173B (en) | 2019-06-26 | 2019-06-26 | Resource return processing method and device, computer readable medium and electronic equipment |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112150173A CN112150173A (en) | 2020-12-29 |
| CN112150173B true CN112150173B (en) | 2024-04-12 |
Family
ID=73869953
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910562757.2A Active CN112150173B (en) | 2019-06-26 | 2019-06-26 | Resource return processing method and device, computer readable medium and electronic equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112150173B (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104732441A (en) * | 2015-04-07 | 2015-06-24 | 中国农业银行股份有限公司 | Data checking method and device applicable to fund consignment sale mechanism |
| CN107516273A (en) * | 2017-08-10 | 2017-12-26 | 杭州龙盈互联网金融信息技术有限公司 | The delivery method and device of a kind of virtual resource |
| CN108053322A (en) * | 2017-12-15 | 2018-05-18 | 东峡大通（北京）管理咨询有限公司 | The customer investment return evaluation method and system of vehicle |
| CN108648083A (en) * | 2018-05-17 | 2018-10-12 | 平安科技（深圳）有限公司 | Fund resources processing method, system, computer equipment and storage medium |
| CN109509107A (en) * | 2018-12-11 | 2019-03-22 | 泰康保险集团股份有限公司 | Account data processing method, device, electronic equipment and computer-readable medium |
| CN109672558A (en) * | 2018-11-30 | 2019-04-23 | 哈尔滨工业大学（威海） | A kind of polymerization and Method of Optimal Matching towards third party's service resource, equipment and storage medium |
| CN109741044A (en) * | 2018-11-14 | 2019-05-10 | 平安科技（深圳）有限公司 | Processing method and processing device, storage medium, the computer equipment of resource data |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1828658A (en) * | 2005-03-31 | 2006-09-06 | 阿里巴巴公司 | Self-possessed resource interacting method and electronic transaction information processing method |
| US8447681B2 (en) * | 2008-11-21 | 2013-05-21 | Hartford Fire Insurance Company | System and method for administering a destination fund having an associated guarantee |
-
2019
- 2019-06-26 CN CN201910562757.2A patent/CN112150173B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104732441A (en) * | 2015-04-07 | 2015-06-24 | 中国农业银行股份有限公司 | Data checking method and device applicable to fund consignment sale mechanism |
| CN107516273A (en) * | 2017-08-10 | 2017-12-26 | 杭州龙盈互联网金融信息技术有限公司 | The delivery method and device of a kind of virtual resource |
| CN108053322A (en) * | 2017-12-15 | 2018-05-18 | 东峡大通（北京）管理咨询有限公司 | The customer investment return evaluation method and system of vehicle |
| CN108648083A (en) * | 2018-05-17 | 2018-10-12 | 平安科技（深圳）有限公司 | Fund resources processing method, system, computer equipment and storage medium |
| CN109741044A (en) * | 2018-11-14 | 2019-05-10 | 平安科技（深圳）有限公司 | Processing method and processing device, storage medium, the computer equipment of resource data |
| CN109672558A (en) * | 2018-11-30 | 2019-04-23 | 哈尔滨工业大学（威海） | A kind of polymerization and Method of Optimal Matching towards third party's service resource, equipment and storage medium |
| CN109509107A (en) * | 2018-12-11 | 2019-03-22 | 泰康保险集团股份有限公司 | Account data processing method, device, electronic equipment and computer-readable medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112150173A (en) | 2020-12-29 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US20200279259A1 (en) | Blockchain-based data processing system, method, computing device and storage medium | |
| CN110910230A (en) | Accounting method, accounting system and storage medium | |
| CN108446935A (en) | Method for managing resource, device, electronic equipment and computer readable storage medium | |
| CN109118375B (en) | Application processing method, device, medium and electronic equipment | |
| CN110148046A (en) | A kind of payment management method and device | |
| US20190166018A1 (en) | Resource provisioning platform with optimized bundling | |
| CN112101939A (en) | Node management method and system based on block chain | |
| CN108985810B (en) | Method and device for advertising on demand side platform | |
| US20200134663A1 (en) | Automatic resource adjustment based on resource availability | |
| CN113449997A (en) | Data processing method and device | |
| CN113034183A (en) | Pricing processing method and device, electronic equipment and storage medium | |
| CN112579468A (en) | Method and device for testing service system | |
| CN112150173B (en) | Resource return processing method and device, computer readable medium and electronic equipment | |
| CN111130984B (en) | Method and apparatus for processing information | |
| CN110070383B (en) | Abnormal user identification method and device based on big data analysis | |
| CN114912904B (en) | Project delivery state determining method, system, electronic equipment and storage medium | |
| CN109493134A (en) | Method and apparatus for pushed information | |
| CN114077962A (en) | Resource quota re-determination method and device based on user tag and computer equipment | |
| CN107798593B (en) | Financial data processing method, device, medium and electronic equipment | |
| JP2018055398A (en) | Point use compromise system and point use compromise method | |
| CN110827161A (en) | Policy handling fee management method, device, medium and electronic equipment | |
| CN114119222B (en) | Resource data processing method, device, server and storage medium | |
| CN114881546B (en) | Method and device for determining resource consumption | |
| US20210357936A1 (en) | Systems and methods for dynamic rule generation for filtering context-based system, transactional, and behavioral data | |
| CN110517157B (en) | Method, device, medium and electronic equipment for managing mutual insurance of property |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |