CN116993470A - Service control method and device based on quota - Google Patents
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Abstract
The invention provides a service control method and device based on quota, and relates to the technical field of data processing, wherein the method comprises the following steps: receiving a service request; analyzing the service request to read parameters in the service request; obtaining a first target parameter and a second target parameter belonging to the target quota dimension based on the target quota dimension to which each quota parameter configured by a user belongs, and splicing to obtain a first variable; reading the quota information associated with the second variable from the quota accumulation registry under the condition that the first variable is matched with the pre-stored second variable; the target service is rejected or allowed to be executed for the target account based on the credit information. The invention can prestore the configuration of different quota and match the configuration with the obtained first variable, and can timely judge the quota under different transaction scenes, thereby realizing the self-adaptive control of the quota service.
Description
Technical Field
The present invention relates to the field of data processing technologies, and in particular, to a quota-based service control method and apparatus.
Background
The quota checking in the banking core business system is a general checking, and the quota checking needs to use quota parameters, so that the scene is complex, for example: the limit accumulation type has a limit of amount, a number of times limit and a balance limit; the cycle type is single, daily, weekly, ten days, month, quaternary and annual; the limit dimension includes transaction type, transaction channel, account category, lending mark, overseas mark, currency, etc., and the general limit parameters can be maintained by means of database script.
However, according to the limit checking based on the database script, the limit parameter, the limit and other related information are limited when the database script is written, so that the pertinence is strong, the method is often only suitable for a small number of scenes, and the adjustment can not be performed according to the scene change.
Disclosure of Invention
The present invention aims to solve at least one of the technical problems in the related art to some extent.
Therefore, a first object of the present invention is to propose a quota-based service control method to realize adaptive control of quota services.
A second object of the present invention is to propose a quota based service control device.
A third object of the present invention is to propose another quota based service control device.
A fourth object of the present invention is to propose a non-transitory computer readable storage medium.
A fifth object of the invention is to propose a computer programme product.
To achieve the above object, an embodiment of a first aspect of the present invention provides a quota-based service control method, including:
receiving a service request;
analyzing the service request to read data on each data bit in the service request as parameters corresponding to the quota dimension according to the corresponding relation between the data bit and the quota dimension, wherein the parameters comprise service parameters of target service and account parameters of a target account;
Extracting an account object type and/or account attribute from the account parameter based on a target quota dimension to which each quota parameter configured by a user belongs to obtain a first target parameter belonging to the target quota dimension, and extracting one or more of a transaction type, a channel number, a lending mark, an overseas mark and a currency from the service parameter to obtain a second target parameter belonging to the target quota dimension;
splicing the first target parameter and the second target parameter based on a set rule to obtain a first variable;
reading the quota information related to the second variable from a quota accumulation register under the condition that the first variable is matched with a pre-stored second variable, wherein the quota information is used or residual quota counted based on a set quota in a set counting period, and the second variable is obtained by splicing quota parameters configured by a user based on the set rule;
rejecting or allowing the target service to be executed for the target account based on the amount information.
To achieve the above object, an embodiment of a second aspect of the present invention provides a quota-based service control device, including:
The receiving module is used for receiving the service request;
the analysis module is used for analyzing the service request to read data on each data bit in the service request as parameters corresponding to the quota dimension according to the corresponding relation between the data bit and the quota dimension, wherein the parameters comprise service parameters of the target service and account parameters of the target account;
the extraction module is used for extracting an account object type and/or an account attribute from the account parameters based on a target quota dimension to which each quota parameter configured by a user belongs to obtain a first target parameter belonging to the target quota dimension, and extracting one or more of a transaction type, a channel number, a lending mark, an overseas mark and a currency from the service parameters to obtain a second target parameter belonging to the target quota dimension;
the splicing module is used for splicing the first target parameter and the second target parameter based on a set rule to obtain a first variable;
the reading module is used for reading the quota information related to the second variable from the quota accumulation registry under the condition that the first variable is matched with a pre-stored second variable, wherein the quota information is used quota or residual quota counted based on a set quota in a set counting period, and the second variable is obtained by splicing quota parameters configured by a user based on the set rule;
And the control module is used for rejecting or allowing the target business to be executed aiming at the target account based on the limit information.
To achieve the above object, an embodiment of a third aspect of the present invention provides another quota-based service control device, including a memory, a transceiver, and a processor:
a memory for storing a computer program; a transceiver for transceiving data under control of the processor; a processor for reading the computer program in the memory and performing the following operations:
receiving a service request;
analyzing the service request to read data on each data bit in the service request as parameters corresponding to the quota dimension according to the corresponding relation between the data bit and the quota dimension, wherein the parameters comprise service parameters of target service and account parameters of a target account;
extracting an account object type and/or account attribute from the account parameter based on a target quota dimension to which each quota parameter configured by a user belongs to obtain a first target parameter belonging to the target quota dimension, and extracting one or more of a transaction type, a channel number, a lending mark, an overseas mark and a currency from the service parameter to obtain a second target parameter belonging to the target quota dimension;
Splicing the first target parameter and the second target parameter based on a set rule to obtain a first variable;
reading the quota information related to the second variable from a quota accumulation register under the condition that the first variable is matched with a pre-stored second variable, wherein the quota information is used or residual quota counted based on a set quota in a set counting period, and the second variable is obtained by splicing quota parameters configured by a user based on the set rule;
rejecting or allowing the target service to be executed for the target account based on the amount information.
In order to achieve the above object, a fourth aspect of the present invention provides a non-transitory computer-readable storage medium, which when executed by a processor of an electronic device, enables the electronic device to perform a quota-based service control method according to the first aspect of the present invention.
In order to achieve the above object, a fifth aspect of the present invention provides a computer program product, which when executed by an instruction processor in the computer program product, performs a quota-based service control method according to the first aspect of the present invention.
The invention at least has the following beneficial effects: receiving a service request; analyzing the service request to read data on each data bit in the service request as parameters corresponding to the quota dimension according to the corresponding relation between the data bit and the quota dimension, wherein the parameters comprise service parameters of the target service and account parameters of the target account; extracting an account object type and/or account attribute from the account parameters based on the target quota dimension to which each quota parameter configured by the user belongs to obtain a first target parameter belonging to the target quota dimension, and extracting one or more of a transaction type, a channel number, a lending sign, an overseas sign and a currency from the service parameters to obtain a second target parameter belonging to the target quota dimension; splicing the first target parameter and the second target parameter based on a set rule to obtain a first variable; reading the quota information related to the second variable from the quota accumulation register under the condition that the first variable is matched with a prestored second variable, wherein the quota information is used or residual quota counted based on a set quota in a set counting period, and the second variable is obtained by splicing quota parameters configured by a user based on a set rule; the target service is rejected or allowed to be executed for the target account based on the credit information. The limit detection is carried out by adopting a variable matching mode, a plurality of parameters of set limit dimensions suitable for various service scenes are extracted based on service requests to generate a first variable in each limit detection, a second variable can be conveniently modified during limit parameter adjustment, and configurations of different limits are pre-stored in a limit accumulation register book so as to be convenient for modification and adjustment, so that limit judgment can be carried out in time under different transaction scenes, and self-adaptive control of limit service is realized.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The foregoing and/or additional aspects and advantages of the invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings, in which:
fig. 1 is a flow chart of a quota-based service control method according to an embodiment of the present invention;
fig. 2 is a flow chart of another quota-based service control method according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a quota-based service control device according to an embodiment of the present invention.
Detailed Description
Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are illustrative and intended to explain the present invention and should not be construed as limiting the invention.
A quota-based service control method and apparatus according to embodiments of the present invention are described below with reference to the accompanying drawings.
Fig. 1 is a flow chart of a quota-based service control method according to an embodiment of the present invention. As shown in fig. 1, the method comprises the steps of:
step 101, a service request is received.
The service request is a request which is sent by a user and needs to be processed, and the bank receives the service request sent by the user and makes feedback.
And 102, analyzing the service request to read data on each data bit in the service request as parameters corresponding to the quota dimension according to the corresponding relation between the data bit and the quota dimension, wherein the parameters comprise service parameters of the target service and account parameters of the target account.
After receiving the service request, the service request is analyzed to read the parameters of the service request. Optionally, the parameters include a service parameter of the target service and an account parameter of the target account.
The service request comprises a plurality of data bits, the data bits are in one-to-one correspondence with the quota dimension, and the data on the data bits are parameters on the corresponding quota dimension. For example, the business parameters may include parameters corresponding to limit dimensions such as transaction type, channel number, lending logo, overseas logo, currency, etc.; the account parameters may include parameters corresponding to quota dimensions such as account object type, account attributes, and the like.
And determining parameters of each quota dimension by extracting the service parameters and the account parameters.
Step 103, based on the target quota dimension to which each quota parameter configured by the user belongs, extracting an account object type and/or an account attribute from the account parameter to obtain a first target parameter belonging to the target quota dimension, and extracting one or more of a transaction type, a channel number, a lending sign, an overseas sign and a currency from the service parameter to obtain a second target parameter belonging to the target quota dimension.
Optionally, two quota dimensions of the account object type and the account attribute corresponding to the account parameter belong to a target quota dimension; the five limit dimensions of the corresponding transaction type, channel number, lending sign, overseas sign and currency in the business parameters belong to the target limit dimension.
The corresponding target parameters are composed by the same type parameters belonging to the target quota dimension, namely, for account parameters, the first target parameters are composed by the account object type and/or the parameters corresponding to the account attribute; for the business parameters, the second target parameters are composed of one or more of transaction type, channel number, loan sign, overseas sign and currency.
By screening the parameters belonging to the target quota dimension to form the target parameters of the corresponding type, the parameters with reference significance for quota judgment can be accurately extracted.
And 104, splicing the first target parameter and the second target parameter based on the set rule to obtain a first variable.
And combining the screened parameters with reference significance for quota judgment by splicing to obtain a first variable serving as a quota judgment basis.
Alternatively, the setting rule for stitching the first target parameter and the second target parameter is predetermined, for example, the setting rule may be stitching in a regular expression manner.
And 105, reading the quota information related to the second variable from the quota accumulation registry under the condition that the first variable is matched with the pre-stored second variable, wherein the quota information is used or remaining quota counted based on the set quota in a set counting period, and the second variable is obtained by splicing quota parameters configured by a user based on a set rule.
Optionally, the pre-stored second variable and the first variable are obtained based on the same set rule, so that the first variable matches the second variable.
Optionally, the pre-stored second variable records the associated quota information, if the first variable is matched with the pre-stored second variable, the quota information corresponding to the first variable is described as the quota information associated with the pre-stored second variable, and further the quota judgment is performed on the first variable based on the quota information.
And step 106, rejecting or allowing to execute the target service for the target account based on the limit information.
Judging whether the first variable reaches the limit based on the limit information, and refusing to execute the target business aiming at the target account under the condition that the limit is reached; in the event that the quota is not reached, then the target business is allowed to be executed for the target account.
In this embodiment, the service request is received; analyzing the service request to read data on each data bit in the service request as parameters corresponding to the quota dimension according to the corresponding relation between the data bit and the quota dimension, wherein the parameters comprise service parameters of the target service and account parameters of the target account; extracting an account object type and/or account attribute from the account parameters based on the target quota dimension to which each quota parameter configured by the user belongs to obtain a first target parameter belonging to the target quota dimension, and extracting one or more of a transaction type, a channel number, a lending sign, an overseas sign and a currency from the service parameters to obtain a second target parameter belonging to the target quota dimension; splicing the first target parameter and the second target parameter based on a set rule to obtain a first variable; reading the quota information related to the second variable from the quota accumulation register under the condition that the first variable is matched with a prestored second variable, wherein the quota information is used or residual quota counted based on a set quota in a set counting period, and the second variable is obtained by splicing quota parameters configured by a user based on a set rule; the target service is rejected or allowed to be executed for the target account based on the credit information. The configuration of different quota can be prestored and matched with the obtained first variable, and the quota judgment can be timely carried out under different transaction scenes, so that the adaptive control of the quota service is realized.
In order to clearly illustrate the above embodiment, another quota-based service control method is provided in this embodiment, and fig. 2 is a schematic flow chart of another quota-based service control method provided in this embodiment of the present invention.
As shown in fig. 2, the method may include the steps of:
step 201, a service request is received.
The service request is a request which is sent by a user and needs to be processed, and the bank receives the service request sent by the user and makes feedback.
Alternatively, the service request may be a personal card ATM cash out, a class II account transfer, a class III account transfer, an add-on card consumption, or the like.
Step 202, analyzing the service request to read data on each data bit in the service request as parameters corresponding to the quota dimension according to the corresponding relation between the data bit and the quota dimension, wherein the parameters comprise service parameters of the target service and account parameters of the target account.
Optionally, the service request includes a plurality of data bits, the data bits are in one-to-one correspondence with the quota dimension, and the data on the data bits is a parameter on the corresponding quota dimension. For example, the business parameters may include parameters corresponding to limit dimensions such as transaction type, channel number, lending logo, overseas logo, currency, etc.; the account parameters may include parameters corresponding to quota dimensions such as account object type, account attributes, and the like.
As one possible implementation manner, the quota dimension corresponding to the account parameter is obtained according to the account number sent by the transaction corresponding to the received service request, where the quota dimension includes an account object type and an account attribute, the account object type represents whether the account is a personal card, a unit settlement card or a client number, and the account attribute represents whether the account is a class I account, a class II account or a class III account.
And obtaining the limit dimension corresponding to the service parameter, namely the transaction type, the channel number, the lending mark, the overseas mark and the currency according to the transaction request information.
Optionally, the parameters corresponding to the account object types are specifically as follows:
01-personal card fold, 02-unit settlement card, 03-unit settlement card-account total, 04-unit living time, 05-customer number.
In the case of determining an account object type, the data on the corresponding data bits is a parameter in the dimension of the account object type.
Optionally, the parameters corresponding to the account attribute are specifically as follows:
0-all, class 1-I accounts, class 2-II accounts, class 3-III accounts.
In the case of determining an account attribute, the data on the corresponding data bits is a parameter in the dimension of the account attribute.
Optionally, the parameters corresponding to the transaction types are specifically as follows:
00-whole, 01-cash taking, 02-cash deposit, 03-cash, 04-transfer and transfer, 05-transfer and transfer, 07-consumption, 08-financial purchase, 09-loan repayment, 10-loan repayment, 11-face-brushing cash taking, 12-face-brushing cash deposit, 13-card-free payment, 15-silver evidence transfer, 16-cross-line transfer, 17-counter communication, 18-silver-joint collection, 19-card-free withdrawal, 20-credit card repayment, 21-return and the like.
In the case of determining the transaction type, the data on the corresponding data bits is a parameter in the dimension of the transaction type.
Optionally, parameters corresponding to the channel number are specifically as follows:
000000-complete lane, 100100-counter comprehensive business system, 100200-telephone bank customer service system, 101300-Smart Teller Machine (STM), 101900-ATM system, 103100-mobile phone line, 103201-online banking system, 103300-WeChat bank, 103400-direct sale bank, 104300-WeChat applet, 106100-online banking direct connection, 301100-credit system, 303100-second generation modern payment system, 303300-city business payment system, 30450-international settlement system, 304300-business draft management system, 304800-comprehensive payment platform, 305100-comprehensive financial platform, 802040-online goods system and the like.
In the case of determining a channel number, the data on the corresponding data bits is a parameter in the dimension of the channel number.
Optionally, the parameters corresponding to the lending flag are as follows:
2-all, 0-borrow, 1-credit.
In the case of determining the loan flag, the data on the corresponding data bits is a parameter in the dimension of the loan flag.
Optionally, parameters corresponding to the overseas and overseas markers are specifically as follows:
0-all, 1-in, 2-out of the country.
In the case of determining the overseas and overseas markers, the data on the corresponding data bits is a parameter in the overseas and overseas marker dimension.
Optionally, the parameters corresponding to the currencies are specifically as follows:
AUD-Australian, CAD-Canarium, CHF-Swiss French, CNY-human civil, DKK-Danish Crem, EUR-Euro, GBP-English, JPY-Japanese, NOK-Navigilance, SEK-Swedish Crem, SGD-Singapore, USD-USD.
In case of determining the currency, the data on the corresponding data bits is a parameter in the currency dimension.
Step 203, based on the target quota dimension to which each quota parameter configured by the user belongs, extracting an account object type and/or an account attribute from the account parameter to obtain a first target parameter belonging to the target quota dimension, and extracting one or more of a transaction type, a channel number, a lending mark, an overseas mark and a currency from the service parameter to obtain a second target parameter belonging to the target quota dimension.
Optionally, the parameters corresponding to the extracted account object types are ([ ≡, ] (01) [ ≡, ]; parameters corresponding to account attributes are ([ ≡, ] (0|1) [ ≡, ]); the corresponding parameters of the transaction type are ([ ≡01 ] (00|01) [ ≡, ]); the parameters corresponding to the channel number are ([ ≡, ] (000000|101900) [ ≡, ]; the parameters corresponding to the lending mark are ([ ≡a, ] (0) [ ≡a, ]); parameters corresponding to the overseas and overseas markers are ([ ≡, ] (0|1) [ ≡, ]; the corresponding parameter of the currency is (CNY).
Alternatively, the parameter corresponding to the account type, the parameter corresponding to the account attribute, or the combination of the parameter corresponding to the account object type and the account attribute may be used as the first target parameter.
Alternatively, one or more combinations of parameters corresponding to transaction type, channel number, lending logo, overseas logo, and currency may be selected as the second target parameter.
As one possible implementation manner, the parameters corresponding to the extracted account object type and the account attribute are formed into a first target parameter: ([ ≡a ] (01) [ ≡a ], ([ ≡a ], ] (0|1) [ ≡a ], ]; combining all the extracted transaction types, channel numbers, lending marks, overseas and overseas marks and currencies to obtain second target parameters: ([ ≡01) [ ≡00 ], ([ ≡00 ], ] ([ ≡101900) [ ≡ζ ], ([ ≡power, ] ] ([ ≡0) [ ≡power, ]) ([ ≡power, ]) (] (0|1) [ ≡power, ]), (CN Y).
Step 204, filling the first target parameters belonging to the target quota dimension and the second target parameters belonging to the target quota dimension into a regular expression template generated based on the set rule to obtain a first variable.
As one possible implementation manner, the first target parameter and the second target parameter corresponding to 7 target limit dimensions of transaction type, channel number, lending sign, overseas sign, currency, object type and account attribute are spliced according to a regular expression mode to obtain a first variable: ([ ≡01) [ ≡ζ ] ([ ≡00 ], ] ([ ≡101900) [ ≡ζ ], ] ([ ≡flexible) (] (01) [ ≡flexible) (]), ([ ≡fact ] (0|1) [ ≡fact ], ([ ≡fact ], ] (0) [ ≡fact ], ([ ≡fact ], ] (0|1) [ ≡place ], (CNY).
And step 205, reading the quota information related to the second variable from the quota accumulation registry under the condition that the first variable is matched with the pre-stored second variable, wherein the quota information is used or remaining quota counted based on the set quota in the set counting period, and the second variable is obtained by splicing quota parameters configured by a user based on a set rule.
The prestored second variable is a variable obtained by splicing quota parameters configured by a user through a regular expression mode by the parameter platform.
Optionally, at least one quota type is associated with the second variable, where each quota type has corresponding quota information.
The quota type is at least one of an amount quota, a number quota, and a balance quota.
As a possible implementation manner, in the case that the service request is a personal card ATM cash, as an example, the personal card ATM daily cumulative cash amount is 20000 yuan, the limit parameter setting is performed on the parameter platform, the transaction type is selected to be 01-cash, 11-face-swipe cash and 19-card-free cash; transaction channel selection 101900-ATM system; object type selection 01-personal card; account attribute selection 0-all; the lending mark selects 0-lending; selecting 1-in the overseas and overseas marks; selecting CNY-RMB; selecting a period type D-day; selecting a 1-sum quota by the accumulated constraint type; the cumulative limit value is 20000 yuan. Then, after extracting the parameters of each quota dimension from the service parameters and account parameters of the service request, synchronizing the parameter platform to the quota string of the core system as follows: 01_11_19,101900,01,0, 1, cny. The quota string is a pre-stored second variable obtained in case the service request is a cash of the personal card ATM.
As one possible implementation manner, in the case that the service request is a group II account transfer, as an example, the group II account transfer date is accumulated and transferred to 10000 yuan, quota parameter setting is performed on a parameter platform, and the transaction types are selected to be 00-all; the transaction channel selects 000000-full channel; object type selection 01-personal card; the account attribute selects a class 2-II account; the loan sign selects 1-loan; selecting 0-all of the overseas and overseas marks; selecting CNY-RMB; selecting a period type D-day; selecting a 1-sum quota by the accumulated constraint type; the cumulative limit value is 10000 yuan. Then, the quota string synchronized by the parameter platform to the core system is: 00,000000,01,2,1,0, cny. The quota character is a pre-stored second variable obtained in the case that the service request is a group II account transfer.
As one possible implementation manner, in the case that the service request is a group III account transfer, as an example, the account balance of the group III account is limited by 2000 elements, the limitation parameter setting is performed on the parameter platform, and the transaction type is selected to be 00-full; the transaction channel selects 000000-full channel; object type selection 01-personal card; the account attribute selects a 3-III class account; the loan sign selects 1-loan; selecting 0-all of the overseas and overseas marks; selecting CNY-RMB; selecting the cycle type S-once; selecting a 3-balance limit according to the accumulated limit type; the cumulative limit value is 2000 yuan. Then, the quota string synchronized by the parameter platform to the core system is: 00,000000,01,3,1,0, cny. The quota string is a pre-stored second variable obtained when the service request is a group III account transfer.
As a possible implementation manner, in the case that the service request is the consumption of the card, after the card is opened, the main card performs custom quota setting on the card, as an example, the custom quota setting on the card is accumulated 10000 yuan in the consumption month, and the quota parameter setting is performed on the parameter platform, and the transaction type is selected 07-for consumption; the transaction channel selects 000000-full channel; object type selection 01-personal card; account attribute selection 0-all; the lending mark selects 0-lending; selecting 1-in the overseas and overseas marks; selecting CNY-RMB; selecting a period type M-month; selecting a 1-sum quota by the accumulated constraint type; the cumulative limit value is 10000 yuan. Then, after the custom quota setting is completed, the quota string stored in the core system is: 00,000000,01,3,1,0, CNY, and establishing association relation between the quota and the card number of the card. The quota string is a pre-stored second variable obtained when the service request is for the attached card consumption.
And if at least one second variable is matched with the first variable, the first variable is successfully matched, and the corresponding second variable associated credit information is read from the DPE_LMT_TOT-credit accumulated register.
For some specific scenarios, such as simple account opening, unit settlement card opening, social security account opening, the core background registers default quota information with the quota register after the account opening is completed. For example, when the personal card ATM daily cumulative cash line defaults to 20000 yuan, the daily cumulative cash line of the personal card is automatically registered in the limit register after the personal card opens an account, which is 20000 yuan.
The credit information associated with any second variable is user-defined credit information and/or global credit information.
The customized quota information is used quota or residual quota counted based on the customized set quota in the customized set statistic period.
The global quota information is used quota or residual quota counted based on the set quota of the global parameter configuration in the set statistic period of the global parameter configuration.
As a possible implementation manner, when the quota information associated with the second variable is read, the custom quota is first read, and then the global quota is read.
Because the custom quota is set for each account independently, more set quota dimensions can be covered generally, and priority is higher, when the quota information is read, the custom quota is read first, and then the global quota is read.
Optionally, when the target account is opened or the configuration is updated, a self-defined setting statistical period and/or a self-defined setting quota are obtained from the counter system; and reading the global parameter configuration applicable to any account in the row from the parameter platform to obtain a set statistical period and/or a set quota contained in the global parameter configuration.
It should be noted that, the core system develops a synchronization interface, after the parameter platform is maintained, the parameters are synchronized to the core library table in the HTTP REST mode, and the core system acquires the latest quota parameters for verification when performing quota checking.
Step 206, refusing to execute the target service for the target account under the condition that the service request does not meet the limit information corresponding to at least one limit type; and under the condition that the service requests all meet the limit information corresponding to any limit type, allowing the target service to be executed aiming at the target account.
Optionally, under the condition that the service request meets the customized quota information associated with any second variable, judging whether the service request meets the global quota information associated with any second variable; in the event that the service request satisfies global credit information associated with any of the second variables, the target service is allowed to be executed against the target account.
Optionally, in the case that the service request does not satisfy the customized credit information associated with any second variable, or does not satisfy the global credit information associated with any second variable, the execution of the target service for the target account is refused.
As a possible implementation manner, the first variable is successfully matched, the used amount of the current day associated with the second variable is read from the limit accumulation register, whether the used amount and the transaction amount are larger than corresponding amount information or not is judged, the amount information can be custom amount information or global amount information, if the used amount and the transaction amount are larger than the amount information, the current day is overrun, the amount information associated with the second variable is not met, the execution of the target service for the target account is refused, and the transaction is terminated; and if the sum information is smaller than or equal to the sum information, the sum information associated with the second variable is satisfied, and the target business is allowed to be executed aiming at the target account.
It should be noted that, in the process of comparing the size of the credit information, firstly, comparing the credit information with the customized credit information, if the size of the credit information is larger than the customized credit information, indicating that the credit information associated with the second variable is not satisfied, and not needing to perform global comparison of the credit information, refusing to execute the target service for the target account; otherwise, if the value unit information is smaller than or equal to the self-defined value unit information, further global value unit information comparison is needed, and the value unit information associated with the second variable is met only if the value unit information is met, so that the target business is allowed to be executed for the target account.
If the date in the quota accumulation register is not equal to the transaction date, the current quota is accumulated from 0.
Further, the target service is allowed to be executed for the target account based on the quota information, and the quota information associated with the matched second variable in the quota cumulative register is updated according to the quota occupied by the service request.
In the case where the target service is allowed to be executed for the target account, the current day integrated value in the quota integrated register is updated according to the quota occupied by the service request.
In order to realize the embodiment, the invention also provides a service control device based on quota.
Fig. 3 is a schematic structural diagram of a quota-based service control device according to an embodiment of the present invention.
As shown in fig. 3, the quota-based service control apparatus 300 includes: the device comprises a receiving module 310, a parsing module 320, an extracting module 330, a splicing module 340, a reading module 350 and a control module 360.
A receiving module 310, configured to receive a service request.
The parsing module 320 is configured to parse the service request to read data on each data bit in the service request as parameters corresponding to the quota dimension according to a correspondence between the data bit and the quota dimension, where the parameters include service parameters of the target service and account parameters of the target account;
the extracting module 330 is configured to extract an account object type and/or an account attribute from the account parameters based on a target quota dimension to which each quota parameter configured by the user belongs to obtain a first target parameter belonging to the target quota dimension, and extract one or more of a transaction type, a channel number, a lending sign, an overseas sign and a currency from the service parameters to obtain a second target parameter belonging to the target quota dimension;
the splicing module 340 is configured to splice the first target parameter and the second target parameter based on a set rule to obtain a first variable;
The reading module 350 is configured to read, when the first variable matches a pre-stored second variable, quota information associated with the second variable from a quota accumulation registry, where the quota information is a used quota or a remaining quota counted based on a set quota in a set counting period, and the second variable is obtained by splicing quota parameters configured by a user based on a set rule;
the control module 360 is configured to reject or allow the target service to be executed for the target account based on the credit information.
Further, in one possible implementation of an embodiment of the present invention, the control module 360 includes:
under the condition that the service request does not meet the limit information corresponding to at least one limit type, refusing to execute the target service aiming at the target account;
and under the condition that the service requests all meet the limit information corresponding to any limit type, allowing the target service to be executed aiming at the target account.
The quota type is at least one of an amount quota, a number quota, and a balance quota.
Further, in a possible implementation manner of the embodiment of the present invention, the apparatus further includes:
when the target account is opened or the configuration is updated, a self-defined setting statistical period and/or a self-defined setting quota are obtained from the counter system;
And reading the global parameter configuration applicable to any account in the row from the parameter platform to obtain a set statistical period and/or a set quota contained in the global parameter configuration.
If at least one second variable matched with the first variable is used, the amount information associated with any second variable is user-defined amount information and/or global amount information;
the self-defined quota information is used quota or residual quota counted based on the self-defined set quota in the self-defined set statistic period;
the global quota information is used quota or residual quota counted based on the set quota of the global parameter configuration in the set statistic period of the global parameter configuration.
Judging whether the service request meets the global limit information associated with any second variable under the condition that the service request meets the self-defined limit information associated with any second variable;
allowing the target business to be executed aiming at the target account under the condition that the business request meets the global limit information associated with any second variable;
and refusing to execute the target service aiming at the target account under the condition that the service request does not meet the self-defined limit information associated with any second variable or does not meet the global limit information associated with any second variable.
Further, in one possible implementation manner of the embodiment of the present invention, the splicing module 340 includes:
and filling the first target parameters belonging to the target quota dimension and the second target parameters belonging to the target quota dimension into a regular expression template generated based on the set rule to obtain a first variable.
Further, in a possible implementation manner of the embodiment of the present invention, the apparatus further includes:
and allowing the target service to be executed aiming at the target account based on the quota information, and updating the quota information associated with the matched second variable in the quota accumulation registry according to the quota occupied by the service request.
It should be noted that the foregoing explanation of the embodiment of the quota-based service control method is also applicable to the quota-based service control device of this embodiment, and will not be repeated here.
In order to implement the above embodiment, the present invention further proposes another quota-based service control device, including: memory, transceiver, processor:
a memory for storing a computer program; a transceiver for transceiving data under control of the processor; a processor for reading the computer program in the memory and performing the following operations:
Receiving a service request;
analyzing the service request to read data on each data bit in the service request as parameters corresponding to the quota dimension according to the corresponding relation between the data bit and the quota dimension, wherein the parameters comprise service parameters of the target service and account parameters of the target account;
extracting an account object type and/or account attribute from the account parameters based on the target quota dimension to which each quota parameter configured by the user belongs to obtain a first target parameter belonging to the target quota dimension, and extracting one or more of a transaction type, a channel number, a lending sign, an overseas sign and a currency from the service parameters to obtain a second target parameter belonging to the target quota dimension;
splicing the first target parameter and the second target parameter based on a set rule to obtain a first variable;
reading the quota information related to the second variable from the quota accumulation register under the condition that the first variable is matched with a prestored second variable, wherein the quota information is used or residual quota counted based on a set quota in a set counting period, and the second variable is obtained by splicing quota parameters configured by a user based on a set rule;
The target service is rejected or allowed to be executed for the target account based on the credit information.
In order to implement the above-described embodiments, the present invention also proposes a non-transitory computer-readable storage medium, which when executed by a processor of an electronic device, enables the electronic device to perform the above-described quota-based traffic control method.
To achieve the above embodiments, the present invention also proposes a computer program product which, when executed by an instruction processor in the computer program product, performs the above-mentioned artificial intelligence based quota based traffic control method.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In the description of the present invention, the meaning of "plurality" means at least two, for example, two, three, etc., unless specifically defined otherwise.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and additional implementations are included within the scope of the preferred embodiment of the present invention in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order from that shown or discussed, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the embodiments of the present invention.
Logic and/or steps represented in the flowcharts or otherwise described herein, e.g., a ordered listing of executable instructions for implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). In addition, the computer readable medium may even be paper or other suitable medium on which the program is printed, as the program may be electronically captured, via, for instance, optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner, if necessary, and then stored in a computer memory.
It is to be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. As with the other embodiments, if implemented in hardware, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.
Those of ordinary skill in the art will appreciate that all or a portion of the steps carried out in the method of the above-described embodiments may be implemented by a program to instruct related hardware, where the program may be stored in a computer readable storage medium, and where the program, when executed, includes one or a combination of the steps of the method embodiments.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing module, or each unit may exist alone physically, or two or more units may be integrated in one module. The integrated modules may be implemented in hardware or in software functional modules. The integrated modules may also be stored in a computer readable storage medium if implemented in the form of software functional modules and sold or used as a stand-alone product.
The above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, or the like. While embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the invention, and that variations, modifications, alternatives and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the invention.
Claims (10)
1. The service control method based on the quota is characterized by comprising the following steps:
receiving a service request;
analyzing the service request to read data on each data bit in the service request as parameters corresponding to the quota dimension according to the corresponding relation between the data bit and the quota dimension, wherein the parameters comprise service parameters of target service and account parameters of a target account;
extracting an account object type and/or account attribute from the account parameter based on a target quota dimension to which each quota parameter configured by a user belongs to obtain a first target parameter belonging to the target quota dimension, and extracting one or more of a transaction type, a channel number, a lending mark, an overseas mark and a currency from the service parameter to obtain a second target parameter belonging to the target quota dimension;
Splicing the first target parameter and the second target parameter based on a set rule to obtain a first variable;
reading the quota information related to the second variable from a quota accumulation register under the condition that the first variable is matched with a pre-stored second variable, wherein the quota information is used or residual quota counted based on a set quota in a set counting period, and the second variable is obtained by splicing quota parameters configured by a user based on the set rule;
rejecting or allowing the target service to be executed for the target account based on the amount information.
2. The method of claim 1, wherein the second variable is associated with at least one quota type, wherein each quota type has corresponding quota information; the rejecting or allowing the target service to be executed for the target account based on the credit information comprises:
refusing to execute the target service aiming at the target account under the condition that the service request does not meet the limit information corresponding to at least one limit type;
and allowing the target service to be executed aiming at the target account under the condition that the service requests all meet the limit information corresponding to any limit type.
3. The method of claim 2, wherein the quota type is at least one of a monetary quota, a number of times quota, and a balance quota.
4. The method of claim 1, further comprising at least one of:
when the target account is opened or the configuration is updated, acquiring the customized set statistical period and/or the customized set quota from a counter system;
and reading global parameter configuration applicable to any account in the row from a parameter platform to obtain the set statistical period and/or the set quota contained in the global parameter configuration.
5. The method of claim 4, wherein, in the case where the second variable matched with the first variable is at least one, the credit information associated with any second variable is customized credit information and/or global credit information;
wherein the customized quota information is used quota or residual quota counted based on the customized set quota in the customized set statistic period;
and the global quota information is used quota or residual quota counted based on the set quota of the global parameter configuration in the set statistic period of the global parameter configuration.
6. The method of claim 5, wherein the rejecting or allowing the target service to be performed for the target account based on the credit information comprises:
judging whether the service request meets the global quota information associated with any second variable under the condition that the service request meets the custom quota information associated with any second variable;
allowing the target service to be executed aiming at the target account under the condition that the service request meets the global quota information associated with any second variable;
and refusing to execute the target service aiming at the target account under the condition that the service request does not meet the customized limit information associated with any second variable or does not meet the global limit information associated with any second variable.
7. The method according to any one of claims 1-6, wherein the splicing the first target parameter and the second target parameter based on a set rule to obtain a first variable includes:
and filling first target parameters belonging to the target quota dimension and second target parameters belonging to the target quota dimension into a regular expression template generated based on the setting rule to obtain the first variable.
8. The method of any of claims 1-6, wherein after rejecting or allowing the target service to be performed for the target account based on the credit information, further comprising:
and allowing the target service to be executed aiming at the target account based on the quota information, and updating the quota information associated with the matched second variable in the quota cumulative register according to the quota occupied by the service request.
9. A quota-based service control device, comprising the following modules:
the receiving module is used for receiving the service request;
the analysis module is used for analyzing the service request to read data on each data bit in the service request as parameters corresponding to the quota dimension according to the corresponding relation between the data bit and the quota dimension, wherein the parameters comprise service parameters of the target service and account parameters of the target account;
the extraction module is used for extracting an account object type and/or an account attribute from the account parameters based on a target quota dimension to which each quota parameter configured by a user belongs to obtain a first target parameter belonging to the target quota dimension, and extracting one or more of a transaction type, a channel number, a lending mark, an overseas mark and a currency from the service parameters to obtain a second target parameter belonging to the target quota dimension;
The splicing module is used for splicing the first target parameter and the second target parameter based on a set rule to obtain a first variable;
the reading module is used for reading the quota information related to the second variable from the quota accumulation registry under the condition that the first variable is matched with a pre-stored second variable, wherein the quota information is used quota or residual quota counted based on a set quota in a set counting period, and the second variable is obtained by splicing quota parameters configured by a user based on the set rule;
and the control module is used for rejecting or allowing the target business to be executed aiming at the target account based on the limit information.
10. A quota-based service control device comprising a memory, a transceiver, and a processor:
a memory for storing a computer program; a transceiver for transceiving data under control of the processor; a processor for reading the computer program in the memory and performing the following operations:
receiving a service request;
analyzing the service request to read data on each data bit in the service request as parameters corresponding to the quota dimension according to the corresponding relation between the data bit and the quota dimension, wherein the parameters comprise service parameters of target service and account parameters of a target account;
Extracting an account object type and/or account attribute from the account parameter based on a target quota dimension to which each quota parameter configured by a user belongs to obtain a first target parameter belonging to the target quota dimension, and extracting one or more of a transaction type, a channel number, a lending mark, an overseas mark and a currency from the service parameter to obtain a second target parameter belonging to the target quota dimension;
splicing the first target parameter and the second target parameter based on a set rule to obtain a first variable;
reading the quota information related to the second variable from a quota accumulation register under the condition that the first variable is matched with a pre-stored second variable, wherein the quota information is used or residual quota counted based on a set quota in a set counting period, and the second variable is obtained by splicing quota parameters configured by a user based on the set rule;
rejecting or allowing the target service to be executed for the target account based on the amount information.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110766545A (en) * | 2019-10-22 | 2020-02-07 | 神州数码融信软件有限公司 | Bank accounting entry generation method |
| US20200090178A1 (en) * | 2017-06-13 | 2020-03-19 | Visa International Service Association | Method, System, and Computer Program Product for Controlling Transaction Velocity Limits |
| CN113487306A (en) * | 2021-07-27 | 2021-10-08 | 中国银行股份有限公司 | Multi-account transaction processing method and device |
| CN113592628A (en) * | 2021-08-02 | 2021-11-02 | 中国银行股份有限公司 | Multi-dimensional quota control method and device for banking transaction |
| CN115456634A (en) * | 2022-09-13 | 2022-12-09 | 建信金融科技有限责任公司 | Data processing method and device, electronic equipment and storage medium |
-
2023
- 2023-07-06 CN CN202310827209.4A patent/CN116993470A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20200090178A1 (en) * | 2017-06-13 | 2020-03-19 | Visa International Service Association | Method, System, and Computer Program Product for Controlling Transaction Velocity Limits |
| CN110766545A (en) * | 2019-10-22 | 2020-02-07 | 神州数码融信软件有限公司 | Bank accounting entry generation method |
| CN113487306A (en) * | 2021-07-27 | 2021-10-08 | 中国银行股份有限公司 | Multi-account transaction processing method and device |
| CN113592628A (en) * | 2021-08-02 | 2021-11-02 | 中国银行股份有限公司 | Multi-dimensional quota control method and device for banking transaction |
| CN115456634A (en) * | 2022-09-13 | 2022-12-09 | 建信金融科技有限责任公司 | Data processing method and device, electronic equipment and storage medium |
Non-Patent Citations (1)
| Title |
|---|
| （美）朱尔斯•J.伯曼: "《大数据原理与实践 复杂信息的准备、共享和分析 原书第2版》", 30 June 2020, 机械工业出版社, pages: 40 * |
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