CN111738820A - Automatic data modification method and device and storage medium - Google Patents
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Abstract
The embodiment of the specification provides a method and a device for automatically modifying data and a storage medium. The method comprises the following steps: receiving at least two data modification strategies submitted by a client; the data modification policy includes a start date, an end date, and at least one execution date; wherein the periods between the start dates and the end dates of the different data modification policies do not coincide; in the case that the current date is matched with one execution date in the at least one execution date, modifying the data by using a data modification strategy corresponding to the execution date; determining the next execution date according to the current date and the data modification strategy corresponding to the execution date; and under the condition that the next execution date exceeds the end date of the data modification strategy corresponding to the execution date, when the current date reaches the execution date of the next data modification strategy, modifying the data by using the next data modification strategy, thereby improving the efficiency of data modification.
Description
Technical Field
The embodiment of the specification relates to the technical field of computers, in particular to a method and a device for automatically modifying data and a storage medium.
Background
The bank interest rate, also called interest rate, represents the ratio of interest to principal in a certain period of time, expressed as a percentage. Generally, interest rates vary according to the time limit criteria of measurement, and are expressed by annual interest rate, monthly interest rate, and daily interest rate. Interest rates may be divided into deposit and loan rates, depending on the economic relationship to which they are attached. From the borrower's perspective, interest rate is the unit cost of usage capital, and is the price the borrower pays to the borrower using the borrower's monetary capital; from the borrower's perspective, the interest rate is the rate of return the borrower gains to borrow monetary capital.
The loan-saving reference interest rate is the loan instructive interest rate issued by the Chinese people's bank to the commercial bank, and is one of the currency policies of the Chinese people's bank for regulating the operation of the social-economic and financial systems. The reference interest rate of the Chinese people bank is modified at intervals, and the commercial bank can make a combination of the deposit and loan interest rates according to the reference interest rate. When the borrower loans to the commercial bank, the loan officer may agree with the commercial bank on the rate of interest modification frequency in the loan period, i.e., on the interval of the agreed rate modification period, such as agreement on daily modification, monthly modification, or annual modification. The commercial bank calculates interest using the loan interest rate before the modification date of the interest rate and calculates interest using the loan interest rate after the modification date of the interest rate, according to an agreement with the customer, before the modification date of the interest rate.
In some scenarios, the borrower wants to return a part of the loan in advance or wants to change the modification frequency, the interest calculation process is changed accordingly, and the bank staff needs to modify the interest calculation process and the modification frequency in the form of manual maintenance. For example, if a borrower wants to return a part of loans in advance, the borrower needs to queue at a corresponding bank counter and then communicate with bank workers, the bank workers can re-agree with interest calculation modes, interest rate modification dates and the like with the borrower according to the amount of the residual loan part of the borrower, finally the bank workers manually input the information of the interest calculation modes, the interest rate modification dates and the like agreed with the borrower into a computer, and after monitoring that the part of the borrower paid in advance is paid out, the loan worker takes effect on agreement with the borrower.
The form of manual maintenance is overly dependent on manual handling, costly and prone to errors in calculations.
Disclosure of Invention
An object of the embodiments of the present specification is to provide a method, an apparatus, and a storage medium for automatically modifying data, so as to modify data in an automated manner and improve the efficiency of modifying data.
To solve the above problem, an embodiment of the present specification provides an automatic data modification method, where the method includes: receiving at least two data modification strategies submitted by a client; the data modification policy includes a start date, an end date, and at least one execution date; wherein the periods between the start dates and the end dates of the different data modification policies do not coincide; in the case that the current date is matched with one execution date in the at least one execution date, modifying the data by using a data modification strategy corresponding to the execution date; determining the next execution date according to the current date and the data modification strategy corresponding to the execution date; and in the case that the next execution date exceeds the end date of the data modification strategy corresponding to the execution date, modifying the data by using the next data modification strategy when the current date reaches the execution date of the next data modification strategy.
In order to solve the above problem, an embodiment of the present specification further provides an automatic data modification apparatus, where the apparatus includes: the receiving module is used for receiving at least two data modification strategies submitted by the client; the data modification policy includes a start date, an end date, and at least one execution date; wherein the periods between the start dates and the end dates of the different data modification policies do not coincide; the first modification module is used for modifying the data by using a data modification strategy corresponding to the execution date under the condition that the current date is matched with one execution date in the at least one execution date; the determining module is used for determining the next execution date according to the current date and the data modification strategy corresponding to the execution date; and the second modification module is used for modifying the data by using the next data modification strategy when the current date reaches the execution date of the next data modification strategy under the condition that the next execution date exceeds the end date of the data modification strategy corresponding to the execution date.
In order to solve the above problem, an embodiment of the present specification further provides an electronic device, including: the network communication unit is used for receiving at least two data modification strategies submitted by the client; the data modification policy includes a start date, an end date, and at least one execution date; wherein the periods between the start dates and the end dates of the different data modification policies do not coincide; a memory for storing a computer program; a processor for executing the computer program to implement: in the case that the current date is matched with one execution date in the at least one execution date, modifying the data by using a data modification strategy corresponding to the execution date; determining the next execution date according to the current date and the data modification strategy corresponding to the execution date; and in the case that the next execution date exceeds the end date of the data modification strategy corresponding to the execution date, modifying the data by using the next data modification strategy when the current date reaches the execution date of the next data modification strategy.
To solve the above problem, embodiments of the present specification further provide a computer-readable storage medium having stored thereon computer instructions, which when executed, implement: receiving at least two data modification strategies submitted by a client; the data modification policy includes a start date, an end date, and at least one execution date; wherein the periods between the start dates and the end dates of the different data modification policies do not coincide; in the case that the current date is matched with one execution date in the at least one execution date, modifying the data by using a data modification strategy corresponding to the execution date; determining the next execution date according to the current date and the data modification strategy corresponding to the execution date; and in the case that the next execution date exceeds the end date of the data modification strategy corresponding to the execution date, modifying the data by using the next data modification strategy when the current date reaches the execution date of the next data modification strategy.
As can be seen from the technical solutions provided by the embodiments of the present specification, in the embodiments of the present specification, at least two data modification policies submitted by a client may be received; the data modification policy includes a start date, an end date, and at least one execution date; wherein the periods between the start dates and the end dates of the different data modification policies do not coincide; in the case that the current date is matched with one execution date in the at least one execution date, modifying the data by using a data modification strategy corresponding to the execution date; determining the next execution date according to the current date and the data modification strategy corresponding to the execution date; and in the case that the next execution date exceeds the end date of the data modification strategy corresponding to the execution date, modifying the data by using the next data modification strategy when the current date reaches the execution date of the next data modification strategy. In the method for automatically modifying data provided in the embodiments of the present description, different data modification policies are divided into time periods by start and stop dates, a system determines a data modification policy that is correspondingly valid according to a current date, data modification is automatically performed in batches according to the data modification policy, an execution date of next data modification is calculated after the data modification is completed, when the data modification policy is changed, only the changed data modification policy needs to be inserted, and the data modification is automatically performed according to the changed data modification policy within the start and stop dates of the changed data modification policy on the current date, so that the data modification in a manual maintenance mode is avoided, and the efficiency of the data modification is improved.
Drawings
In order to more clearly illustrate the embodiments of the present specification or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments described in the specification, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a flow chart of a method for automatically modifying data according to an embodiment of the present disclosure;
FIG. 2 is a schematic diagram illustrating the components of a data modification strategy according to an embodiment of the present disclosure;
FIG. 3 is a functional block diagram of an automatic data modification apparatus according to an embodiment of the present disclosure;
fig. 4 is a functional structure diagram of an electronic device according to an embodiment of the present disclosure.
Detailed Description
The technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the drawings in the embodiments of the present disclosure, and it is obvious that the described embodiments are only a part of the embodiments of the present disclosure, and not all of the embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present specification without any creative effort shall fall within the protection scope of the present specification.
The loan-saving reference interest rate is the loan instructive interest rate issued by the Chinese people's bank to the commercial bank, and is one of the currency policies of the Chinese people's bank for regulating the operation of the social-economic and financial systems. The reference interest rate of the Chinese people bank is modified at intervals, and the commercial bank can make a combination of the deposit and loan interest rates according to the reference interest rate.
The Loan market quotation interest Rate (LPR) is quoted by representative quotation lines in a mode of adding points to the open market operation interest Rate (mainly referring to the mid-term Loan convenient interest Rate) according to the Loan interest Rate of the best-quality customers, the basic Loan reference interest Rate is calculated and published by a nationwide inter-bank peer Loan center authorized by the Chinese people bank, and each financial institution should make Loan pricing mainly referring to the LPR. According to the regulation of Chinese people's banks, the current loan interest rate is formed by adding points to LPR to form the actual loan interest rate, and the specific implementation is determined by each commercial bank according to the situation.
The reference interest rate is published by the people's bank, is a tool for regulating and controlling the financial market of the people's bank, and generally cannot be changed frequently. The LPR is a marketable interest rate, changes every month and can reflect the changes of the loan interest rate in the market more accurately.
In the loan-saving scene, before LPR reform, a commercial bank can make the loan-saving interest rate according to the reference interest rate, and when a borrower loans to the commercial bank, the borrower can agree with the commercial bank about the modification frequency of the interest rate in a loan cycle, namely, the cycle interval of the agreed interest rate modification, such as daily amendment, monthly amendment or annual amendment. Since the reference interest rate does not change frequently, the modification frequency of the interest rate can be generally defined as monthly modification. The commercial bank calculates interest using the loan interest rate before the modification date of the interest rate and calculates interest using the loan interest rate after the modification date of the interest rate, according to an agreement with the customer, before the modification date of the interest rate. If the borrower wants to make a part of loan in advance, the residual loan amount and the loan period at the time are also changed, and because the loan period is different, the interest rate calculation mode is also different, so that the bank staff needs to adopt a manual maintenance mode to modify the interest calculation process. For example, if a borrower wants to return a part of loans in advance, the borrower needs to queue at a corresponding bank counter and then communicate with bank workers, the bank workers can re-agree with interest calculation modes, interest rate modification dates and the like with the borrower according to the amount of the residual loan part of the borrower, finally the bank workers manually input the information of the interest calculation modes, the interest rate modification dates and the like agreed with the borrower into a computer, and after monitoring that the part of the borrower paid in advance is paid out, the loan worker takes effect on agreement with the borrower. After the LPR reform, for the borrower who has loaned, the interest rate calculation mode can be selected to be changed from the mode of using the reference interest rate to the mode of using the LPR to calculate the interest rate, and bank workers also need to adopt a manual maintenance mode to modify the interest calculation process.
In a selling scenario of a financial product, a buyer purchases the financial product from a seller, and the seller may commit a value of the financial product to a profit. However, in practice, the reference interest rate and the LPR will change, so that the value of the interest of the actual financing product will also change, and the seller may change the interest rate modification frequency and the interest rate calculation mode to maximize the interest, and at this time, the bank staff also needs to modify the interest calculation process in a manual maintenance mode.
That is, if the interest rate modification frequency is changed, advanced payment or other operation which causes the interest rate calculation process to change in the loan period or the financing period, manual modification by workers is required. Considering that if different data modification strategies are divided into time intervals by start and stop dates, the system determines the corresponding effective data modification strategies according to the current date, automatically modifies the data in batches according to the data modification strategies, calculates the execution date of the next data modification after the data modification is finished, only the changed data modification strategies need to be inserted when the data modification strategies are changed, and automatically modifies the data according to the changed data modification strategies within the start and stop dates of the changed data modification strategies on the current date, the problems of high labor cost and high error probability caused by manual maintenance of data modification in the prior art are hopefully solved, and the efficiency of data modification is improved. Therefore, the embodiment of the specification provides an automatic data modification method.
In this specification embodiment, the data may be data relating to interest rates. The data automatic modification method may be applied to a loan saving scene and a financing selling scene, and of course, the data automatic modification method may also be applied to other scenes including interest rate calculation, which is not limited in the embodiment of the present specification.
In the embodiment of the present specification, a main body for executing the data automatic modification method may be an electronic device having a logical operation function, the electronic device may be a server, and the server may be an electronic device having a certain operation processing capability. Which may have a network communication unit, a processor, a memory, etc. Of course, the server is not limited to the electronic device having a certain entity, and may be software running in the electronic device. The server may also be a distributed server, which may be a system with multiple processors, memory, network communication modules, etc. operating in coordination. Alternatively, the server may also be a server cluster formed by several servers.
In some embodiments, the server may be a cloud computing server, and may provide the computing capability and the storage capability to the user in a service manner, and implement the data processing process of the automatic data modification method in a cloud computing manner. The server can also be a quantum computer, and the data processing process of the data automatic modification method can be realized through a quantum algorithm.
Fig. 1 is a flowchart of a method for automatically modifying data according to an embodiment of the present disclosure. As shown in fig. 1, the data automatic modification method may include the following steps.
S110: receiving at least two data modification strategies submitted by a client; the data modification policy includes a start date, an end date, and at least one execution date; wherein the periods between the start dates and the end dates of the different data modification policies do not coincide.
In some embodiments, the data modification policy may be a policy to modify interest rates, as shown in FIG. 2, and one data modification policy may include a start date, an end date, and at least one execution date. The data modification policy is effective during a period between a start date and an end date of the data modification policy, and the interest rate may be modified using the data modification policy when the current date is the execution date and not modified using the data modification policy when the current date is not the execution date.
In some embodiments, the periods between the start dates and the end dates of the different data modification policies do not coincide. That is, at most, only one data modification policy should be effected in a time period, and the start dates and the end dates of different data modification policies do not intersect and are not included. For example, if the start date of one data modification policy is 2019, 2/h and the end date of the other data modification policy is 2019, 5/h and 6/h, neither the start date nor the end date of the other data modification policy is between the time periods of 2019, 2/h and 2019, 5/h and 6/h.
In some embodiments, the data modification policy may further include a first execution date, a modification frequency, a modification increment, and a number of modification formulas. The first execution date is a first execution date within a data modification policy start-stop date period. The execution date is an execution date other than the first execution date within a data modification policy start-stop date period. The modification frequency may be a modification frequency of interest rate, which is a periodic interval of interest rate modification, and may include monthly modification, daily modification, twice a month, due date, and the like. The modification increment is the number of interest rate modification period intervals, for example, the modification frequency is monthly modification, the modification increment is 2, and the interest rate modification is performed every two months; modifying the interest rate once every three days if the modification frequency is daily modification and the modification increment is 3; the modification frequency is twice per month, and the modification day and the modification increment respectively refer to the first execution date and the second execution date of the current month; if the modification frequency is modified according to the due date, the next execution date needs to be calculated according to the current date.
In some embodiments, the modification formula may be a formula used for interest rate calculation, and the interest rate value may be calculated by different modification formulas for different loan periods. Specifically, the attribute structure of the modification formula may be as shown in table 1.
TABLE 1
The interest rate index is a reference interest rate represented by an index code, and when a new reference interest rate is published by the Chinese people's bank, the value corresponding to the interest rate index is directly modified through parameter setting and maintenance.
In some embodiments, the modification formula may consist of the above 10 attributes. As can be seen from table 1, the modification formula can be divided into three types, i.e., a fixed type, a following exponent type, and a custom type. Wherein, in the fixed type modification formula, the interest rate value is equal to the fixed interest rate value; in the modification formula of the following index type, the interest rate value is equal to the value replaced by the interest rate index code; in the self-defined type modification formula, the calculation formula of the interest rate value is as follows:
the value of interest ═ base interest rate +/-/
The first four operators are operator one in table 1, and the last four operators are operator two in table 1.
In some embodiments, the customer may contract with the bank at least one data modification policy at the beginning of the loan to the bank, for example, may contract a modification date, a modification frequency, a modification formula, and the like. Of course, if the user wants to modify the date, manner, etc. during the loan period, the user may also engage in a new data modification policy with the bank. Of course, different data modification policies may be set for different financial items, respectively. For example, normal interest and penalty may set different data modification policies.
In some embodiments, the client may be an electronic device with display, computing, and network access capabilities. Specifically, for example, the client may be a desktop computer, a tablet computer, a notebook computer, a smart phone, a digital assistant, a smart wearable device, a shopping guide terminal, or a television with a network access function. Alternatively, the client may be software that can run on the electronic device.
In some embodiments, the server receives at least two data modification policies submitted by the client, and the policies can be received through the internet. Specifically, the client may submit the data modification policy to the server according to a network communication protocol, such as Http, TCP/IP, or FTP. Thus, the server can receive the data modification strategy and then carry out corresponding response processing.
S120: and in the case that the current date is matched with one execution date in the at least one execution date, modifying the data by using a data modification strategy corresponding to the execution date.
In some embodiments, the running batch is an automated checkout of an internal system of the bank. Each bank has its own batch program and batch flow, that is, in the public family of the enterprise in the bank, the business income and expenditure in the same month are generated, the system general ledger is formed in batches, the large-scale transaction such as settlement, counter-proposal, payment and the like is carried out, and the system report is formed in batches. Banks run batches every day.
In some embodiments, at the time of daily batching, the data modification policy being validated may be located based on whether the current date is the execution date of an account. Specifically, if the current date is not the execution date of any account, no interest rate modification may be performed; if the current date is the execution date of a certain account, because the start date and the end date between different data modification strategies of the account are not crossed and not included, the data modification strategy which is correspondingly effective for the account can be determined according to the execution date, and the interest rate is modified by using the data modification strategy which is corresponding to the execution date.
In some embodiments, the formula used for interest rate calculation in continental china is generally fixed, for example, different loan years have corresponding formulas, if a client loan accounts for 100 ten thousand yuan and returns to the clear in 10 years, the interest rate can be calculated by the formula corresponding to the loan for 10 years, and if the client loan accounts for 100 ten thousand yuan and returns to the clear in 20 years, the interest rate can be calculated by the formula corresponding to the loan for 20 years. That is, in the continental area of China, the loan amount and the loan year are determined, the interest rate calculation formula is also determined, and the customer generally cannot use other formulas to calculate the interest rate in agreement with the bank. However, in hong Kong, Macau, or some other countries and regions of China, the user may use a different formula to calculate interest rates than the bank convention even if the loan amount and the loan age are determined. In order to make the automatic data modification method provided by the embodiments of the present specification compatible with regions outside the mainland region of china, in some embodiments, the data modification policy may further include a modification manner and several modification formulas.
In some embodiments, each modification formula may be calculated to obtain a modification value, which may be a profit value. The modification mode comprises a result calculated by which modification formula the adopted target value adopts. Specifically, the modification mode includes selecting a modification value calculated by a first modification formula as a target value, selecting a maximum value of a plurality of modification values as a target value, or selecting a minimum value of the plurality of modification values as a target value. For example, if 5 modification formulas are included in the data modification strategy, the calculation result of each modification formula is shown in table 2, and the target values obtained by different modification modes are shown in table 3.
TABLE 2
| Modifying a formula | Calculation results (%) |
| Formula one | 4.1 |
| Formula two | 4.2 |
| Formula three | 4.3 |
| Formula four | 3.9 |
| Formula five | 3.5 |
TABLE 3
| Modification mode | Target value (%) |
| Selecting a modification value obtained by a first modification formula | Taking the calculation result of formula one: 4.1 |
| Taking the maximum of several modified values | Taking the calculation result of the formula three: 4.3 |
| Taking the minimum of several modified values | Taking the calculation result of the formula five: 3.5 |
In some embodiments, each data modification policy may include modification formulas to satisfy a customer's data modification function requirements. Modification formulas of fixed type, following index type and custom type can be combined in any matching way to form a plurality of interest rate calculation formulas, and the calculation result of which formula is adopted is determined by the modification mode of the data modification strategy. Table 4 shows exemplary combinations of fixed type, trailing exponent type, and custom type modification formulas.
TABLE 4
In some embodiments, the modifying the data using the data modification policy corresponding to the execution date may include the following steps.
S121: calculating to obtain a plurality of modification values according to the modification formulas;
s122: selecting a target value from a plurality of modified values according to the modification mode;
s123: the original value is changed to the target value.
In some embodiments, after selecting the target value, the original value may be changed to the target value, thereby completing the modification of the data.
In the embodiment of the present specification, the data modification policy includes a plurality of modification formulas and modification modes, and is compatible with regions other than the continental region of china. The client can meet the functional requirements of data modification by selecting a modification formula and a modification mode, so that the data modification method is more flexible.
S130: and determining the next execution date according to the data modification strategy corresponding to the current date and the execution date.
In some embodiments, the next execution date may be calculated based on the current date, based on the frequency of modification, incremental changes to modification, and execution date in the data modification policy. Specifically, taking the current date as 2019, 1 month and 1 day as an example, the following different execution dates are obtained by using table 5 for different modification frequencies, modification increments and execution dates.
TABLE 5
S140: and in the case that the next execution date exceeds the end date of the data modification strategy corresponding to the execution date, modifying the data by using the next data modification strategy when the current date reaches the execution date of the next data modification strategy.
In some embodiments, the next data modification policy may be the data modification policy that the customer agreed with the bank at the time of the loan, or the data modification policy that the customer agreed with the bank again during the loan period.
In some embodiments, after determining the next execution date, the next execution date may be compared with an end date of the data modification policy in effect on the current date, that is, the next execution date is compared with an end date of the data modification policy corresponding to the execution date, and in the case that the next execution date exceeds the end date of the data modification policy corresponding to the execution date, the data is modified using the next data modification policy when the current date reaches the execution date of the next data modification policy. And under the condition that the next execution date does not exceed the end date of the data modification strategy corresponding to the execution date, when the current date reaches the next execution date, modifying the data by using the data modification strategy corresponding to the execution date.
According to the interest rate modification method provided by the embodiment of the specification, different data modification strategies can be divided into time intervals through start and stop dates, the system determines the corresponding effective data modification strategy according to the current date, the data modification is automatically carried out in batches according to the data modification strategy, the execution date of the next data modification is calculated after the data modification is finished, when the data modification strategy is changed, the changed data modification strategy is only needed to be inserted, and the data modification is automatically carried out according to the changed data modification strategy within the start and stop dates of the changed data modification strategy on the current date, so that the data modification in a manual maintenance mode is avoided, and the data modification efficiency is improved.
Embodiments of the present specification also provide a computer-readable storage medium having stored thereon computer instructions that, when executed, implement: receiving at least two data modification strategies submitted by a client; the data modification policy includes a start date, an end date, and at least one execution date; wherein the periods between the start dates and the end dates of the different data modification policies do not coincide; in the case that the current date is matched with one execution date in the at least one execution date, modifying the data by using a data modification strategy corresponding to the execution date; determining the next execution date according to the current date and the data modification strategy corresponding to the execution date; and in the case that the next execution date exceeds the end date of the data modification strategy corresponding to the execution date, modifying the data by using the next data modification strategy when the current date reaches the execution date of the next data modification strategy.
In the embodiments of the present specification, the storage medium includes, but is not limited to, a Random Access Memory (RAM), a Read-Only Memory (ROM), a Cache (Cache), a Hard Disk Drive (HDD), or a Memory Card (Memory Card). The memory may be used for storing the computer programs and/or modules, and the memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function, and the like; the storage data area may store data created according to the use of the user terminal, and the like. In addition, the memory may include high speed random access memory, and may also include non-volatile memory. In the embodiments of the present description, the functions and effects specifically realized by the program instructions stored in the computer-readable storage medium may be explained in contrast to other embodiments, and are not described herein again.
Referring to fig. 3, on a software level, an embodiment of the present specification further provides an automatic data modification apparatus, which may specifically include the following structural modules.
A receiving module 310, configured to receive at least two data modification policies submitted by a client; the data modification policy includes a start date, an end date, and at least one execution date; wherein the periods between the start dates and the end dates of the different data modification policies do not coincide;
a first modification module 320, configured to, if the current date matches one of the at least one execution date, modify the data using a data modification policy corresponding to the execution date;
the determining module 330 is configured to determine a next execution date according to the current date and the data modification policy corresponding to the execution date;
and a second modifying module 340, configured to, in a case that the next execution date exceeds the end date of the data modification policy corresponding to the execution date, modify the data by using the next data modification policy when the current date reaches the execution date of the next data modification policy.
In some embodiments, the first modification module may further include: the calculation unit is used for calculating a plurality of modification values according to the modification formulas; the selection unit is used for selecting a target value from a plurality of modified values according to the modification mode; and a changing unit for changing the original value to the target value.
Fig. 4 is a functional structure diagram of an electronic device according to an embodiment of the present disclosure, where the electronic device may include a network communication unit, a memory, and a processor.
In some embodiments, the network communication unit may be operative to receive at least two data modification policies submitted by a client; the data modification policy includes a start date, an end date, and at least one execution date; wherein the periods between the start dates and the end dates of the different data modification policies do not coincide. The network communication unit may communicate network data in compliance with a network communication protocol.
In some embodiments, the memory may be used to store the computer programs and/or modules, and the processor may implement various functions of the internet of things sensing device detection by running or executing the computer programs and/or modules stored in the memory and invoking data stored in the memory. The memory can mainly comprise a program storage area and a data storage area, wherein the program storage area can store an operating system and an application program required by at least one function; the storage data area may store data created according to the use of the user terminal. In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an APPlication Specific Integrated Circuit (ASIC), a Field-Programmable gate array (FPGA) or other Programmable logic device, discrete gate or transistor logic device, discrete hardware component, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The processor may execute the computer instructions to perform the steps of: in the case that the current date is matched with one execution date in the at least one execution date, modifying the data by using a data modification strategy corresponding to the execution date; determining the next execution date according to the current date and the data modification strategy corresponding to the execution date; and in the case that the next execution date exceeds the end date of the data modification strategy corresponding to the execution date, modifying the data by using the next data modification strategy when the current date reaches the execution date of the next data modification strategy.
In the embodiments of the present description, the functions and effects specifically realized by the electronic device may be explained in comparison with other embodiments, and are not described herein again.
It should be noted that, in the present specification, each embodiment is described in a progressive manner, and the same or similar parts in each embodiment may be referred to each other, and each embodiment focuses on differences from other embodiments. In particular, as for the apparatus embodiment and the apparatus embodiment, since they are substantially similar to the method embodiment, the description is relatively simple, and reference may be made to some descriptions of the method embodiment for relevant points.
After reading this specification, persons skilled in the art will appreciate that any combination of some or all of the embodiments set forth herein, without inventive faculty, is within the scope of the disclosure and protection of this specification.
In the 90 s of the 20 th century, improvements in a technology could clearly distinguish between improvements in hardware (e.g., improvements in circuit structures such as diodes, transistors, switches, etc.) and improvements in software (improvements in process flow). However, as technology advances, many of today's process flow improvements have been seen as direct improvements in hardware circuit architecture. Designers almost always obtain the corresponding hardware circuit structure by programming an improved method flow into the hardware circuit. Thus, it cannot be said that an improvement in the process flow cannot be realized by hardware physical modules. For example, a Programmable Logic Device (PLD), such as a Field Programmable Gate Array (FPGA), is an integrated circuit whose Logic functions are determined by programming the Device by a user. A digital system is "integrated" on a PLD by the designer's own programming without requiring the chip manufacturer to design and fabricate application-specific integrated circuit chips. Furthermore, nowadays, instead of manually making an integrated Circuit chip, such Programming is often implemented by "logic compiler" software, which is similar to a software compiler used in program development and writing, but the original code before compiling is also written by a specific Programming Language, which is called Hardware Description Language (HDL), and HDL is not only one but many, such as abel (advanced Boolean Expression Language), ahdl (alternate Language Description Language), traffic, pl (core unified Programming Language), HDCal, JHDL (Java Hardware Description Language), langue, Lola, HDL, laspam, hardward Description Language (vhr Description Language), vhjhdul, vhr Description Language, and vhr-Language, which are currently used in most common. It will also be apparent to those skilled in the art that hardware circuitry that implements the logical method flows can be readily obtained by merely slightly programming the method flows into an integrated circuit using the hardware description languages described above.
The systems, devices, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smartphone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
From the above description of the embodiments, it is clear to those skilled in the art that the present specification can be implemented by software plus a necessary general hardware platform. Based on such understanding, the technical solutions of the present specification may be essentially or partially implemented in the form of software products, which may be stored in a storage medium, such as ROM/RAM, magnetic disk, optical disk, etc., and include instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments of the present specification.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The description is operational with numerous general purpose or special purpose computing system environments or configurations. For example: personal computers, server computers, hand-held or portable devices, tablet-type devices, multiprocessor systems, microprocessor-based systems, set top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, distributed computing environments that include any of the above systems or devices, and the like.
This description may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The specification may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
While the specification has been described with examples, those skilled in the art will appreciate that there are numerous variations and permutations of the specification that do not depart from the spirit of the specification, and it is intended that the appended claims include such variations and modifications that do not depart from the spirit of the specification.
Claims (10)
1. An automatic data modification method is applied to a server, and the method comprises the following steps:
receiving at least two data modification strategies submitted by a client; the data modification policy includes a start date, an end date, and at least one execution date; wherein the periods between the start dates and the end dates of the different data modification policies do not coincide;
in the case that the current date is matched with one execution date in the at least one execution date, modifying the data by using a data modification strategy corresponding to the execution date;
determining the next execution date according to the current date and the data modification strategy corresponding to the execution date;
and in the case that the next execution date exceeds the end date of the data modification strategy corresponding to the execution date, modifying the data by using the next data modification strategy when the current date reaches the execution date of the next data modification strategy.
2. The method of claim 1, wherein the data modification strategy further comprises a modification frequency, a modification increment, a modification mode, and a number of modification formulas.
3. The method of claim 2, wherein modifying data using the data modification policy corresponding to the execution date comprises:
calculating to obtain a plurality of modification values according to the modification formulas;
selecting a target value from a plurality of modified values according to the modification mode;
the original value is changed to the target value.
4. The method according to claim 2 or 3, wherein the modification mode comprises selecting the modification value calculated by the first modification formula as the target value, selecting the maximum value of the modification values as the target value, or selecting the minimum value of the modification values as the target value.
5. The method according to claim 2 or 3, wherein the modification formulas include a fixed type modification formula, a following exponent type modification formula, and a custom type modification formula.
6. The method of claim 1, wherein in a case that the next execution date does not exceed an end date of the data modification policy corresponding to the execution date, when a current date reaches the next execution date, the data is modified using the data modification policy corresponding to the execution date.
7. An apparatus for automatically modifying data, the apparatus comprising:
the receiving module is used for receiving at least two data modification strategies submitted by the client; the data modification policy includes a start date, an end date, and at least one execution date; wherein the periods between the start dates and the end dates of the different data modification policies do not coincide;
the first modification module is used for modifying the data by using a data modification strategy corresponding to the execution date under the condition that the current date is matched with one execution date in the at least one execution date;
the determining module is used for determining the next execution date according to the current date and the data modification strategy corresponding to the execution date;
and the second modification module is used for modifying the data by using the next data modification strategy when the current date reaches the execution date of the next data modification strategy under the condition that the next execution date exceeds the end date of the data modification strategy corresponding to the execution date.
8. The apparatus of claim 7, wherein the first modification module comprises:
the calculation unit is used for calculating a plurality of modification values according to a plurality of modification formulas;
the selection unit is used for selecting a target value from the modification values according to the modification mode;
and a changing unit for changing the original value to the target value.
9. An electronic device, comprising:
the network communication unit is used for receiving at least two data modification strategies submitted by the client; the data modification policy includes a start date, an end date, and at least one execution date; wherein the periods between the start dates and the end dates of the different data modification policies do not coincide;
a memory for storing a computer program;
a processor for executing the computer program to implement: in the case that the current date is matched with one execution date in the at least one execution date, modifying the data by using a data modification strategy corresponding to the execution date; determining the next execution date according to the current date and the data modification strategy corresponding to the execution date; and in the case that the next execution date exceeds the end date of the data modification strategy corresponding to the execution date, modifying the data by using the next data modification strategy when the current date reaches the execution date of the next data modification strategy.
10. A computer readable storage medium having stored thereon computer instructions that, when executed, implement: receiving at least two data modification strategies submitted by a client; the data modification policy includes a start date, an end date, and at least one execution date; wherein the periods between the start dates and the end dates of the different data modification policies do not coincide; in the case that the current date is matched with one execution date in the at least one execution date, modifying the data by using a data modification strategy corresponding to the execution date; determining the next execution date according to the current date and the data modification strategy corresponding to the execution date; and in the case that the next execution date exceeds the end date of the data modification strategy corresponding to the execution date, modifying the data by using the next data modification strategy when the current date reaches the execution date of the next data modification strategy.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103065262A (en) * | 2012-12-25 | 2013-04-24 | 远光软件股份有限公司 | Processing method for modeling bank interest rate adjustment data |
| JP2017156842A (en) * | 2016-02-29 | 2017-09-07 | キヤノンマーケティングジャパン株式会社 | Information processing device, and control method thereof, and program |
| CN107945007A (en) * | 2017-11-17 | 2018-04-20 | 中国银行股份有限公司 | Data processing method, device, electronic equipment and storage medium |
| CN109840842A (en) * | 2017-11-29 | 2019-06-04 | 平安普惠企业管理有限公司 | Refund processing method, device, equipment and readable storage medium storing program for executing |
-
2020
- 2020-06-15 CN CN202010541221.5A patent/CN111738820A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103065262A (en) * | 2012-12-25 | 2013-04-24 | 远光软件股份有限公司 | Processing method for modeling bank interest rate adjustment data |
| JP2017156842A (en) * | 2016-02-29 | 2017-09-07 | キヤノンマーケティングジャパン株式会社 | Information processing device, and control method thereof, and program |
| CN107945007A (en) * | 2017-11-17 | 2018-04-20 | 中国银行股份有限公司 | Data processing method, device, electronic equipment and storage medium |
| CN109840842A (en) * | 2017-11-29 | 2019-06-04 | 平安普惠企业管理有限公司 | Refund processing method, device, equipment and readable storage medium storing program for executing |
Non-Patent Citations (1)
| Title |
|---|
| 伟嘉安捷: "各大银行贷款购房提前还款规则，你了解多少？", Retrieved from the Internet <URL:https://zhuanlan.zhihu.com/p/43084110> * |
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