CN111476651B - Data settlement method and device, storage medium and electronic equipment - Google Patents
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Abstract
The invention provides a data settlement method and device, a storage medium and electronic equipment, wherein the method comprises the following steps: when a preset settlement period is reached, acquiring each piece of pre-generated data to be settled, wherein the data to be settled comprises statement data to be settled or delivery data to be settled; according to the service type of each data to be settled, combining the data to be settled with the same service type into a settlement data set; and aiming at each settlement data set, acquiring each binding rule corresponding to the service type of the settlement data set, and respectively settling each data to be settled in the settlement data set according to the data settlement mode contained in each binding rule to obtain a settlement result corresponding to each binding rule. Therefore, according to the binding rule, the statement data to be settled or the delivery data to be settled are settled, and the collective settlement of alliance data, multi-freight rate data and different sales channel data is not needed, so that the settlement speed and efficiency of service data are improved.
Description
Technical Field
The present invention relates to the field of data processing, and in particular, to a data settlement method and apparatus, a storage medium, and an electronic device.
Background
With the increase of the demands of people for low-cost and low-fare aviation services, low-cost airlines are generated, and compared with the traditional airlines, the low-cost airlines have the characteristics of point-to-point airlines, single freight fare, high-density airplane seats, fare direct sale, air ticket + rich additional services and the like.
In the prior art, settlement is mainly performed on service data of a traditional airline company, but the traditional airline company has the characteristics of complex airline network, complex freight rate, aviation alliance, multi-channel sales and the like, so that the conventional data settlement method is applied, and the settlement speed and efficiency on the service data of a low-cost airline company are low.
Disclosure of Invention
The invention provides a data settlement method and device, a storage medium and electronic equipment, and aims to solve the problems of low data settlement speed and low efficiency caused by settlement of business data of low-cost airlines.
In order to achieve the above object, the present invention provides the following technical solutions:
a data settlement method, comprising:
When a preset settlement period arrives, acquiring each piece of pre-generated data to be settled; the data to be settled comprise statement data to be settled or delivery data to be settled;
according to the service type of each data to be settled, combining the data to be settled with the same service type into a settlement data set;
and aiming at each settlement data set, acquiring each binding rule corresponding to the service type of the settlement data set, and respectively settling each data to be settled in the settlement data set according to a data settlement mode contained in each binding rule to obtain a settlement result corresponding to each binding rule.
According to the above method, optionally, the respectively settling the data to be settled in the settlement data set according to the data settlement mode in each binding rule to obtain a settlement result corresponding to each binding rule, including:
and determining a data settlement mode contained in each binding rule, analyzing each data to be settled in the settlement data set, extracting data items corresponding to the data settlement mode from each data to be settled, and summarizing each data item to obtain a settlement result corresponding to the binding rule.
According to the above method, optionally, the respectively settling the data to be settled in the settlement data set according to the data settlement mode contained in each binding rule, and after obtaining the settlement result corresponding to each binding rule, further includes:
judging whether the settlement result meets a preset first accounting condition according to the settlement result corresponding to each binding rule;
if the settlement result meets the first accounting condition, generating accounting information corresponding to the binding rule according to the settlement result and the settlement period, and generating accounting description information of the accounting information according to the settlement period and service description information in the binding rule;
storing the accounting information and the accounting description information;
if the settlement result does not meet the first accounting condition, judging whether the settlement result meets a preset second accounting condition or not;
if the settlement result meets the second accounting condition, generating empty account description information, wherein the empty account information is used for indicating that no account information corresponding to the binding rule exists, and storing the empty account description information;
If the settlement result does not meet the second billing condition, generating abnormal information, and processing the abnormal information according to a preset abnormal information processing strategy.
The above method, optionally, the storing the accounting information and the accounting description information includes:
according to the mapping relation between the accounting information and the accounting subjects contained in the binding rule, the accounting information is stored in a storage area corresponding to the accounting subjects, and the accounting description information is stored in a preset storage area.
In the above method, optionally, if the data to be settled is delivery data to be settled, the generating process of the data to be settled includes:
acquiring initial delivery data, and judging whether data items corresponding to each preset first keyword exist in the initial delivery data;
if yes, format conversion is carried out on the initial delivery data according to a preset format conversion strategy, and target delivery data is obtained;
storing the target delivery data, and acquiring pre-stored order data corresponding to the target delivery data;
and generating data to be settled according to the target delivery data and the order data corresponding to the target delivery data.
In the above method, optionally, if the data to be settled is statement data to be settled, the generating process of the data to be settled includes:
acquiring initial statement of account data, and judging whether a data item corresponding to each preset second keyword exists in the initial statement of account data;
if the data item corresponding to each preset second keyword exists in the initial statement data, carrying out format conversion on the initial statement data according to the format conversion strategy to obtain target statement data;
storing the target statement of account data, and acquiring pre-stored order data corresponding to the target statement of account data;
judging whether the number of the target amount contained in order data corresponding to the target statement data is matched with the number of the amount contained in the target statement data;
and if so, generating data to be settled according to the target statement data and order data corresponding to the target statement data.
The method, optionally, further comprises:
if the number of the target amount contained in the order data corresponding to the target statement data is not matched with the number of the amount contained in the target statement data, classifying the target statement data according to a preset classification strategy;
And processing the classified target statement data according to the abnormal information processing strategy.
A data settlement apparatus comprising:
the acquisition unit is used for acquiring each piece of pre-generated data to be settled when a preset settlement period is reached; the data to be settled comprise statement data to be settled or delivery data to be settled;
the combination unit is used for combining the data to be settled with the same service type into a settlement data set according to the service type of each data to be settled;
and the settlement unit is used for acquiring each binding rule corresponding to the service type of each settlement data set according to the data settlement mode contained in each binding rule, and settling each data to be settled in the settlement data set to obtain a settlement result corresponding to each binding rule.
A storage medium comprising stored instructions, wherein the instructions, when executed, control a device in which the storage medium resides to perform the data settlement method described above.
An electronic device comprising a memory, and one or more instructions, wherein the one or more instructions are stored in the memory and configured to perform the data settlement method described above by one or more processors.
Compared with the prior art, the invention has the following advantages:
the invention provides a data settlement method and device, a storage medium and electronic equipment, wherein the method comprises the following steps: when a preset settlement period is reached, acquiring each piece of pre-generated data to be settled, wherein the data to be settled comprises statement data to be settled or delivery data to be settled; according to the service type of each data to be settled, combining the data to be settled with the same service type into a settlement data set; and aiming at each settlement data set, acquiring each binding rule corresponding to the service type of the settlement data set, and respectively settling each data to be settled in the settlement data set according to the data settlement mode contained in each binding rule to obtain a settlement result corresponding to each binding rule. Therefore, according to the technical scheme provided by the application, the statement data to be settled or the delivery data to be settled of the low-cost airline company are settled according to the binding rules, and the collective settlement of alliance data, multi-freight rate data and different sales channel data is not needed, so that the settlement speed and efficiency of service data are improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only embodiments of the present invention, and that other drawings can be obtained according to the provided drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method of data settlement method provided by the invention;
FIG. 2 is a flow chart of a method of data settlement according to the present invention;
FIG. 3 is a flowchart of a method for data settlement according to the present invention;
FIG. 4 is a flowchart of a method of data settlement according to the present invention;
fig. 5 is a schematic structural diagram of a data settlement system according to the present invention;
fig. 6 is a schematic structural diagram of a data settlement device according to the present invention;
fig. 7 is a schematic structural diagram of an electronic device according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The embodiment of the invention provides a data settlement method which can be applied to various system platforms, an execution subject of the method can be a server running on a computer, and a flow chart of the data settlement method is shown in fig. 1 and specifically comprises the following steps:
s101: and when the preset settlement period is reached, acquiring each piece of pre-generated data to be settled.
When the preset settlement period arrives, each piece of pre-generated data to be settled corresponding to the current settlement period is acquired, and the specific acquisition process comprises the following steps: comparing the settlement time of each piece of pre-generated data to be settled with the current settlement period, and taking the data to be settled as the data to be settled corresponding to the current settlement period if the settlement time of the data to be settled is within the current settlement period. The data to be settled comprises statement data to be settled or delivery period to be settled can be settlement deadlines in a trigger, and the trigger is triggered at regular time to trigger the acquisition of each data to be settled corresponding to the settlement period.
Optionally, a plurality of trigger rules may be registered on the trigger, and if a plurality of trigger rules are registered on the trigger, the trigger of the trigger needs to satisfy all the trigger rules, and after the trigger satisfies all the trigger rules, the trigger is triggered to obtain the data to be settled. Alternatively, a trigger rule query may be made by querying trigger basic attributes, and the query description may be a query of the trigger (query trigger attributes (start-stop time, trigger type, < trigger rule >)) with a < trigger rule > dimension querying the triggers it registers (see which triggers a certain < trigger rule > is registered in). And inquiring the trigger related to a certain subject by inquiring the dimension of the accounting subject.
Optionally, the time variable of the trigger at least comprises a theoretical trigger time and a current system time, wherein the theoretical trigger time is the theoretical trigger time of the trigger, and the system time is the current system time; the settlement time of the trigger may be generated by setting a time interval, or may be generated according to the attribute of the trigger when the trigger is operated, where the settlement time includes a settlement start time and a settlement end time, and it should be noted that the settlement start time and the settlement end time are both in a date-time format, and the date-time format may intercept date-time data to a preset precision through a trunc (date) function, where a date parameter is the date-time data, and a format parameter indicates the date-time after interception, for example. If the preset precision is seconds, D obtained by the function trunk ('20181018 20:15:21', 'D') is "20181018 20:15:21", and if the precision is minutes, D obtained by the function trunk ('20181018 20:15:21', 'D') is "20181018 20:15".
The trigger may be advanced or retracted by the "+", "-" operator, e.g., dateTime+/-N indicates that the date and time is advanced/retracted for N days, N being a natural number.
The triggers may be, but are not limited to, the various fields in a trigger field table, as shown in table 1:
table 1 trigger field table
Alternatively, the trigger state may be queried through a related interface, i.e. the trigger running state is queried, where the running state includes: trigger state, attributes, last time run time, average run time consumption, time consumption of each trigger rule in the trigger, etc.
S102: and combining the data to be settled with the same service type into a settlement data set according to the service type of each data to be settled.
And determining the service type of each data to be settled, wherein the service type can be determined through the related field of the data to be settled, and the data to be settled with the same service type are combined into a settlement data set so as to realize the combination of each data to be settled into a plurality of settlement data sets.
S103: and aiming at each settlement data set, acquiring each binding rule corresponding to the service type of the settlement data set, and respectively settling each data to be settled in the settlement data set according to the data settlement mode contained in each binding rule to obtain a settlement result corresponding to each binding rule.
In the method provided by the embodiment of the invention, one or more binding rules corresponding to each service type are prestored, and each binding rule comprises a data settlement mode.
For each settlement data set, acquiring each binding rule corresponding to the service type of the settlement data set, wherein each settlement data set corresponds to one service type because each settlement data set is a set of data to be settled of the same service type, acquiring each binding rule corresponding to the service type which is stored in advance based on the service type corresponding to the settlement data set, and settling each data to be settled in the settlement data set according to a data settlement mode contained in each binding rule, wherein a specific settlement process of each data to be settled in the settlement data set comprises:
and determining a data settlement mode contained in the binding rule aiming at each binding rule, analyzing each data to be settled in the settlement data set, extracting data items corresponding to the data settlement mode from each data to be settled, and summarizing each data item to obtain a settlement result corresponding to the binding rule.
Alternatively, the structure of the binding rules may exist in the form of a rule table, where the rule table is shown in table 2:
| Fields | Value of |
| Binding rule ID | 1 |
| Business description | Automatic billing binding rule in B2C ticket issuing |
| DR (borrowing) item | DR：001->{T(S[M＝‘B2C’])} |
| CR (credit) item | CR：002->{T(S[M＝‘B2C’])} |
| Business description | Self-camping channel-B2C sales |
Table 2 rule table
In table 2, T is data to be settled, and it should be noted that T may be an actually existing table or a logical table, and S is an order amount, that is, a sales amount, and M represents a sales channel.
For each binding rule, the data settlement mode included in the binding rule may be to collect the borrowing item and the lending item, and it is to be noted that, which services belong to the borrowing item and which services belong to the lending item are manually set, and may be changed, where not specifically limited, each data to be settled in the settlement data set is analyzed, a plurality of data items corresponding to the borrowing item are obtained, a plurality of data items corresponding to the lending item are obtained, a plurality of data items corresponding to the borrowing item are collected, a collection result corresponding to the borrowing item is obtained, and a plurality of data items corresponding to the lending item are collected, and it is to be noted that, a plurality of data items corresponding to the borrowing item are collected, and a plurality of data corresponding to the lending item are collected, where the data items corresponding to the lending item may be collected by the binding expression DR:001- > { T (S [ m= 'B2C' ]) } and CR:002- > { T (S [ M= 'B2C' ]) } are summarized. And taking the summary result corresponding to the borrowing and the summary result corresponding to the lending as the settlement result corresponding to the binding rule.
According to the data settlement method provided by the embodiment of the invention, when a preset settlement period is reached, each piece of pre-generated data to be settled is obtained, wherein the data to be settled comprises statement data to be settled or delivery data to be settled; according to the service type of each data to be settled, combining the data to be settled with the same service type into a settlement data set; and aiming at each settlement data set, acquiring each binding rule corresponding to the service type of the settlement data set, and respectively settling each data to be settled in the settlement data set according to the data settlement mode contained in each binding rule to obtain a settlement result corresponding to each binding rule. By applying the data settlement method provided by the embodiment of the invention, the statement data to be settled or the delivery data to be settled of the low-cost airline company are settled according to the binding rules, and the collective settlement of alliance data, multi-freight rate data and different sales channel data is not needed, so that the settlement speed and efficiency of service data are improved.
The above-mentioned step S103 of the embodiment of the present invention disclosed in fig. 1 settles each data to be settled in the structural data set according to the data settlement mode included in each binding rule, and after obtaining the settlement result corresponding to each binding rule, the flowchart is shown in fig. 2, and may further include the following steps:
S201: and judging whether the settlement result meets a preset first accounting condition according to the settlement result corresponding to each binding rule.
For each settlement result corresponding to the binding rule, judging whether the settlement result meets a preset first accounting condition, namely judging whether the summary result corresponding to the borrow is larger than a preset first threshold value and judging whether the summary result corresponding to the lend is larger than the preset first threshold value, optionally, the first threshold value can be 0, namely judging whether the summary result corresponding to the borrow is larger than 0 and judging whether the summary result corresponding to the lend is larger than 0, when the summary result corresponding to the borrow is larger than the first threshold value or the summary result corresponding to the lend is larger than the preset first threshold value, judging that the settlement result meets the preset first accounting condition, executing step S202, if the summary result corresponding to the borrow and the summary result corresponding to the lend are not larger than the first threshold value, judging that the settlement result does not meet the preset first accounting condition, and executing step S203.
S202: and generating accounting information corresponding to the binding rule according to the settlement result and the settlement period, and generating accounting description information of the accounting information according to the settlement period and the service description information in the binding rule.
If the settlement result corresponding to the binding rule meets the first accounting condition, according to the settlement result and the settlement period, namely according to the summary result, the settlement starting time and the settlement ending time corresponding to the borrow, generating the accounting information corresponding to the borrow, and according to the summary result, the settlement starting time and the settlement ending time corresponding to the lend, generating the accounting information corresponding to the lend, determining the accounting information corresponding to the borrow and the accounting information corresponding to the lend as the accounting information corresponding to the binding rule, and generating the accounting description information of the accounting information according to the settlement period and the service description information in the binding rule.
S203: and judging whether the settlement result meets a preset second accounting condition.
If the settlement result does not satisfy the first billing condition, it is determined whether the settlement result satisfies a preset second billing condition, that is, whether the summary result corresponding to the borrow and the summary result corresponding to the lend are equal to a preset first threshold, alternatively, whether the summary result corresponding to the borrow is equal to 0 and the summary result corresponding to the lend is equal to 0 may be determined, if both the summary result corresponding to the borrow and the summary result corresponding to the lend are equal to 0, it is determined that the settlement result satisfies the preset second billing condition, and step S204 is performed, otherwise, it is determined that the settlement result does not satisfy the preset second billing condition, and step S205 is performed.
S204: and generating the empty account description information and storing the empty account description information.
And if the settlement result meets the second accounting condition, the accounting is not performed, and null accounting description information is generated, wherein the null accounting description information is used for indicating that no accounting information corresponding to the binding rule exists currently, and optionally, the null accounting description information can be generated based on a preset field for describing the null accounting, and the null accounting description information can also be generated based on a preset generation rule of the null accounting description information.
And storing the generated empty account description information, and optionally storing the empty account description information into a preset storage area.
S205: generating abnormal information, and processing the abnormal information according to a preset abnormal information processing strategy.
If the settlement result does not meet the second accounting condition, namely the settlement result is negative, namely the summary result corresponding to the borrowing item or the summary result corresponding to the lending item is negative, the settlement result is abnormal, abnormal information is generated, the abnormal information is processed according to a preset abnormal information processing strategy, and optionally, the abnormal information processing strategy can be to push the abnormal information to an abnormal processing platform for prompting, so that the abnormal data can be processed manually and timely.
S206: and storing the accounting information and the accounting description information.
The binding rule is preset with a mapping relation between the accounting information and the accounting subjects, through the mapping relation, an area for storing the accounting information can be determined, and the accounting information is stored in the determined area, namely, the accounting information is stored in a storage area corresponding to the accounting subjects, and it is to be noted that the accounting information corresponding to the borrow and the accounting information corresponding to the lend are respectively stored in different accounting subjects, for example, the binding rule includes the borrow DR:001- > { T (S [ m= 'B2C' ]) } and credit CR:002- > { T (S [ M= 'B2C' ]) }, the accounting information corresponding to the borrow needs to be stored in the storage area corresponding to the accounting object 001, the accounting information corresponding to the lend needs to be stored in the storage area corresponding to the accounting object 002, and the accounting description information needs to be stored in the preset storage area.
In the data settlement method provided by the embodiment of the invention, the settlement result of each binding rule is compared with the preset billing condition, so that whether to generate the accounting information and the accounting description information corresponding to the accounting information is determined, the accounting information is stored under the corresponding accounting, and the accounting description information is stored in the preset storage area. By applying the data settlement method provided by the embodiment of the invention, the settlement data are stored under different accounting families, namely, the settlement data are classified and stored, so that the corresponding data can be conveniently and quickly searched later, and the efficiency of searching and searching the subsequent data is improved.
The data to be settled in step S101 disclosed in fig. 1 of the embodiment of the present invention includes the delivery data to be settled and the statement data to be settled, and if the data to be settled is the delivery data to be settled, the process of generating the data to be settled is shown in fig. 3, and the flowchart includes the following steps:
s301: initial delivery data is obtained.
The method comprises the steps of acquiring initial delivery data, optionally, acquiring the initial delivery data from the departure system, and acquiring the initial delivery data when the delivery state is changed, wherein the change of the delivery state mainly comprises the following steps: passenger signing, check-in, departure, landing, etc.
Optionally, the initial delivery data includes, but is not limited to, order data, passenger departure information, passenger boarding information, other product delivery information, ticket information, and other product sales information.
Alternatively, the initial delivery data may include, but is not limited to, the various data in a delivery data table, as shown in Table 3:
table 3 delivery data sheet
Optionally, the initial delivery data includes ticket data including, but not limited to, data in a ticket data table, such as table 4:
table 4 ticket data sheet
S302: judging whether the initial delivery data contains data items corresponding to each preset first keyword.
The method comprises the steps of presetting a plurality of first keywords for checking initial delivery data, judging whether data items corresponding to each first keyword exist in the initial delivery data or not, namely conducting non-empty checking on the initial delivery data, executing step S303 if data items corresponding to each first keyword exist in the initial delivery data, and executing step S304 if data items corresponding to each first keyword do not exist in the initial delivery data.
S303: and carrying out format conversion on the initial delivery data according to a preset format conversion strategy to obtain target delivery data.
If the data item corresponding to each first keyword exists in the initial delivery data, format conversion is carried out on the initial delivery data according to a preset format conversion strategy, and target delivery data is obtained.
S304: and generating delivery abnormal data and carrying out abnormal processing on the delivery abnormal data.
If the data item corresponding to each first keyword does not exist in the initial delivery data, generating delivery abnormal data, and performing abnormal processing on the delivery abnormal data, wherein the specific process for performing abnormal processing on the delivery data comprises the following steps:
And sending the delivery abnormal data to a normal processing platform for prompting so as to facilitate the manual timely processing of the delivery abnormal data.
S305: storing the target delivery data, and acquiring pre-stored order data corresponding to the target delivery data.
The pre-storing order data, the storing process of the order data may specifically include:
acquiring initial order data, and judging whether data items corresponding to each preset third keyword exist in the initial order data;
if yes, a preset format conversion strategy is adopted, and format conversion is carried out on the initial order data to obtain order data;
the order delivery data is stored.
Optionally, the order data includes, but is not limited to, order summary information, order related information such as tickets, additional services, payments, and the like.
It should be noted that, the verification process of the initial order data is the same as the verification process of the initial delivery data, and the non-empty verification is performed on the data, that is, whether the data item corresponding to each preset third keyword exists in the initial order data is judged, if so, the verification is passed, the format conversion is performed on the initial order data, and the initial order data after the format conversion is stored as the order data.
Optionally, the initial order data includes, but is not limited to, data in an order data table, such as shown in Table 5:
table 5 order data table
And storing the initial delivery data after format conversion, namely the target delivery data, and obtaining order data corresponding to the target delivery data through the product identification of the target delivery data.
S306: and generating data to be settled according to the target delivery data and the order data corresponding to the target delivery data.
After the pre-stored order data corresponding to the target delivery data is acquired, generating data to be settled based on the target delivery data and the order data corresponding to the target delivery data, wherein the data to be settled can be optionally obtained by summarizing and fusing the target delivery data and the order data corresponding to the target delivery data.
In the data settlement method provided by the embodiment of the invention, after initial delivery data is received, the initial delivery data is checked, after the initial delivery data passes the check, format conversion is carried out on the initial delivery data to obtain target delivery data, and the target delivery data and order data corresponding to the target delivery data are fused to obtain data to be settled.
The data to be settled in step S101 disclosed in fig. 1 of the embodiment of the present invention includes delivery data to be settled and statement data to be settled, and if the data to be settled is statement data to be settled, the process of generating the data to be settled is shown in fig. 4, and the flowchart includes the following steps:
s401: initial statement of account data is obtained.
The initial statement data includes payment data and refund data.
The low-cost airline is mainly directly sold, the sales channel can be Web application or mobile APP, the payment mode comprises a third party payment gateway, that is, the payment gateway statement is one of main sources of settlement data, and optionally, initial statement data can be extracted according to a preset extraction period.
Optionally, the initial statement data includes, but is not limited to, data in statement data tables, such as those shown in Table 6:
table 6 statement of account data
S402: and judging whether the data item corresponding to each preset second keyword exists in the initial statement data.
A plurality of second keywords for checking the initial statement data are preset, whether data items corresponding to each second keyword exist in the initial statement data or not is judged, namely, non-empty checking is carried out on the initial statement data, and optionally, the second keywords comprise, but are not limited to, settlement date, settlement type, transaction serial number, amount, settlement date, transaction date, commission and income amount. If the data item corresponding to each second keyword exists in the initial statement data, step S403 is executed, and if the data item corresponding to each second keyword does not exist in the initial statement data, step S404 is executed.
S403: and carrying out format conversion on the initial statement data according to the format conversion strategy to obtain target statement data.
If the data item corresponding to each second keyword exists in the initial statement data, format conversion is carried out on the initial statement data according to a preset format conversion strategy, and target statement data is obtained.
Alternatively, the formats of the initial statement data may be different from one payment gateway to another, including but not limited to XML and JSON.
S404: and generating statement of account abnormal data and carrying out abnormal processing on the statement of account abnormal data.
If the data item corresponding to each second keyword does not exist in the initial statement data, statement abnormal data are generated, and the statement abnormal data are subjected to abnormal processing, and optionally, the specific process of abnormal processing comprises the following steps:
and sending the abnormal statement data to a normal processing platform for prompting, so that the abnormal statement data can be processed manually and timely.
S405: and storing the target statement data, and acquiring pre-stored order data corresponding to the target statement data.
It should be noted that, the process of storing the order data is as described in step S305 of fig. 3, and is not repeated here.
Optionally, order data corresponding to the target statement data is acquired, and the order number and the transaction serial number of the target statement data can be searched.
S406: judging whether the number of the target amount contained in the order data corresponding to the target statement data is matched with the number of the amount contained in the target statement data;
and matching the amount contained in the target statement data with the amount contained in the order data corresponding to the target statement data, wherein the amount contained in the target statement data is the actual payment amount or the actual refund amount, the amount contained in the order data is the amount to be paid or refund, if the amount contained in the target statement data is matched with the amount contained in the order data corresponding to the target statement data, step S407 is executed, and if the amount contained in the target statement data is not matched with the amount contained in the order data corresponding to the target statement data, step S408 is executed.
S407: and generating data to be settled according to the target statement data and order data corresponding to the target statement data.
If the amount of money contained in the target statement data is matched with the target amount of money contained in the order data corresponding to the target statement data, generating data to be settled according to the target statement data and the order data corresponding to the target statement data, wherein the generated data to be settled comprises but is not limited to data in a settlement data table, and the settlement data table is shown in table 7:
TABLE 7 settlement data sheet
The settlement data may be an actual table or a logical table.
S408: classifying the target statement data according to a preset classification strategy, and processing the classified target statement data according to an abnormal information processing strategy.
If the amount of money contained in the target statement data is not matched with the target amount of money contained in the order data corresponding to the target statement data, classifying the target statement data according to a preset classification strategy, and processing the classified target statement data according to an abnormal information processing strategy, namely sending the classified target statement data to an abnormal information processing interface for prompting so as to manually process the abnormal information, optionally, reclassifying the classified target statement data, classifying the target statement data of a payment type can comprise sales unpaid, error payment and compensation sale collection, and classifying the target statement data of a refund type can comprise business refund merchant refund and bad account.
In the data settlement method provided by the embodiment of the invention, the acquired initial statement data is checked and subjected to format conversion to obtain the target statement data, and the target statement data and the order data corresponding to the target settlement data are fused to obtain the data to be settled.
It should be understood that the various steps provided in embodiments of the present invention may be performed in a different order and/or performed in parallel. Furthermore, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the present disclosure is not limited in this respect.
In the data settlement method provided by the embodiment of the invention, the format of the freight rate data file is verified by verifying the file name and the file format of each freight rate data file, so that the freight rate data file passing the format verification is screened out.
The embodiment of the invention also provides a data settlement system, the structure schematic diagram of which is shown in fig. 5, and the system specifically comprises:
a data access module 501, a settlement module 502, a finance module 503, an exception handling module 504 and a report statistics module 505.
The data access module 501 is configured to obtain initial order data, initial statement data, or initial delivery data, verify the initial order data, the initial statement data, or the initial delivery data, perform format conversion on the verified initial order data, the initial statement data, or the initial delivery data, generate statement data to be settled corresponding to the initial statement data, or delivery data to be settled corresponding to the initial delivery data, and send the statement data to the settlement module 502.
The settlement module 502 is configured to perform settlement on the statement data to be settled or the delivery data to be settled, so as to obtain a settlement result.
The financial model 503 is configured to obtain a settlement result generated by the settlement module 502, generate accounting information and accounting description based on the settlement result, store the accounting information to a corresponding accounting subject, store the accounting description information to a preset storage area, and count the remaining accounting subjects.
The exception handling module 504 is configured to handle exception data generated by the data access module 501, the settlement module 502, and the finance module 503.
The report statistics module 505 is configured to generate a settlement report according to the settlement data generated by the settlement module 502.
It should be noted that, in the data settlement system provided by the embodiment of the present invention, the data access module may also perform security verification on the data.
Corresponding to the method shown in fig. 1, the embodiment of the present invention further provides a data settlement device, which is used for implementing the method shown in fig. 1, and the structural schematic diagram of the data settlement device is shown in fig. 6, and specifically includes:
an obtaining unit 601, configured to obtain each pre-generated data to be settled when a preset settlement period arrives; the data to be settled comprise statement data to be settled or delivery data to be settled;
A combining unit 602, configured to combine to-be-settled data with the same service type into a settlement data set according to the service type of each to-be-settled data;
and a settlement unit 603, configured to obtain, for each of the settlement data sets, each binding rule corresponding to a service type of the settlement data set, and perform settlement on each data to be settled in the settlement data set according to a data settlement manner included in each binding rule, so as to obtain a settlement result corresponding to each binding rule.
When a preset settlement period is reached, the data settlement device provided by the embodiment of the invention acquires each piece of pre-generated data to be settled, wherein the data to be settled comprises statement data to be settled or delivery data to be settled; according to the service type of each data to be settled, combining the data to be settled with the same service type into a settlement data set; and aiming at each settlement data set, acquiring each binding rule corresponding to the service type of the settlement data set, and respectively settling each data to be settled in the settlement data set according to the data settlement mode contained in each binding rule to obtain a settlement result corresponding to each binding rule. By applying the data settlement device provided by the embodiment of the invention, the statement data to be settled or the delivery data to be settled of the low-cost airline company are settled according to the binding rules, and the collective settlement of alliance data, multi-freight rate data and different sales channel data is not needed, so that the settlement speed and efficiency of service data are improved.
In one embodiment of the present invention, based on the foregoing scheme, the settlement unit 601 performs settlement on each data to be settled in the settlement data set according to a data settlement manner in each binding rule, to obtain a settlement result corresponding to each binding rule, and specifically configured to:
and determining a data settlement mode contained in each binding rule, analyzing each data to be settled in the settlement data set, extracting data items corresponding to the data settlement mode from each data to be settled, and summarizing each data item to obtain a settlement result corresponding to the binding rule.
In one embodiment of the present invention, based on the foregoing scheme, it may be further configured to:
the first judging unit is used for judging whether the settlement result meets a preset first accounting condition according to the settlement result corresponding to each binding rule;
the generation unit is used for generating accounting information corresponding to the binding rule according to the settlement result and the settlement period and generating accounting description information of the accounting information according to the settlement period and service description information in the binding rule if the settlement result meets the first accounting condition;
The first storage unit is used for storing the accounting information and the accounting description information;
the second judging unit is used for judging whether the settlement result meets a preset second accounting condition or not if the settlement result does not meet the first accounting condition;
the second storage unit is used for generating empty account description information if the settlement result meets the second accounting condition, wherein the empty account information is used for indicating that no account information corresponding to the binding rule exists and storing the empty account description information;
and the first exception handling unit is used for generating exception information if the settlement result does not meet the second accounting condition, and handling the exception information according to a preset exception information handling strategy.
In one embodiment of the present invention, based on the foregoing aspect, the second storage unit performs storing the accounting information and the accounting description information, and is specifically configured to:
according to the mapping relation between the accounting information and the accounting subjects contained in the binding rule, the accounting information is stored in a storage area corresponding to the accounting subjects, and the accounting description information is stored in a preset storage area.
In one embodiment of the present invention, based on the foregoing solution, if the data to be settled is the delivery data to be settled, the obtaining unit 601 performs a process of generating the data to be settled, which is specifically configured to:
acquiring initial delivery data, and judging whether data items corresponding to each preset first keyword exist in the initial delivery data;
if yes, format conversion is carried out on the initial delivery data according to a preset format conversion strategy, and target delivery data is obtained;
storing the target delivery data, and acquiring pre-stored order data corresponding to the target delivery data;
and generating data to be settled according to the target delivery data and the order data corresponding to the target delivery data.
In one embodiment of the present invention, based on the foregoing solution, if the data to be settled is statement data to be settled, the obtaining unit 601 performs a process of generating the data to be settled, which is specifically configured to:
acquiring initial statement of account data, and judging whether a data item corresponding to each preset second keyword exists in the initial statement of account data;
if the data item corresponding to each preset second keyword exists in the initial statement data, carrying out format conversion on the initial statement data according to the format conversion strategy to obtain target statement data;
Storing the target statement of account data, and acquiring pre-stored order data corresponding to the target statement of account data;
judging whether the number of the target amount contained in order data corresponding to the target statement data is matched with the number of the amount contained in the target statement data;
and if so, generating data to be settled according to the target statement data and order data corresponding to the target statement data.
In one embodiment of the present invention, based on the foregoing scheme, it is further configured to:
the classifying unit is used for classifying the target statement data according to a preset classifying strategy if the number of the target statement data contained in the order data corresponding to the target statement data is not matched with the number of the statement data contained in the target statement data;
and the second exception handling unit is used for handling the classified target statement data according to the exception information handling policy.
The embodiment of the invention also provides a storage medium, which comprises stored instructions, wherein the equipment where the storage medium is located is controlled to execute the data settlement method when the instructions run.
The embodiment of the present invention further provides an electronic device, whose structural schematic diagram is shown in fig. 7, specifically including a memory 701, and one or more instructions 702, where the one or more instructions 702 are stored in the memory 701, and configured to be executed by the one or more processors 703, where the one or more instructions 702 perform the following operations:
when a preset settlement period arrives, acquiring each piece of pre-generated data to be settled; the data to be settled comprise statement data to be settled or delivery data to be settled;
according to the service type of each data to be settled, combining the data to be settled with the same service type into a settlement data set;
and aiming at each settlement data set, acquiring each binding rule corresponding to the service type of the settlement data set, and respectively settling each data to be settled in the settlement data set according to a data settlement mode contained in each binding rule to obtain a settlement result corresponding to each binding rule.
It should be noted that, in the present specification, each embodiment is described in a progressive manner, and each embodiment is mainly described as different from other embodiments, and identical and similar parts between the embodiments are all enough to be referred to each other. For the apparatus class embodiments, the description is relatively simple as it is substantially similar to the method embodiments, and reference is made to the description of the method embodiments for relevant points.
Finally, it is further noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
For convenience of description, the above devices are described as being functionally divided into various units, respectively. Of course, the functions of each element may be implemented in the same piece or pieces of software and/or hardware when implementing the present invention.
From the above description of embodiments, it will be apparent to those skilled in the art that the present invention may be implemented in software plus a necessary general hardware platform. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a storage medium, such as a ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in the embodiments or some parts of the embodiments of the present invention.
The foregoing has described in detail a data settlement method and apparatus provided by the present invention, and specific examples have been applied herein to illustrate the principles and embodiments of the present invention, and the above examples are only for aiding in the understanding of the method and core idea of the present invention; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in accordance with the ideas of the present invention, the present description should not be construed as limiting the present invention in view of the above.
Claims (9)
1. A data settlement method applied to settlement of business data of a low-cost airline, the method comprising:
when a preset settlement period arrives, acquiring each piece of pre-generated data to be settled; the data to be settled comprise statement data to be settled or delivery data to be settled;
according to the service type of each data to be settled, combining the data to be settled with the same service type into a settlement data set;
aiming at each settlement data set, acquiring each binding rule corresponding to the service type of the settlement data set, and respectively settling each data to be settled in the settlement data set according to a data settlement mode contained in each binding rule to obtain a settlement result corresponding to each binding rule;
Judging whether the settlement result meets a preset first accounting condition according to the settlement result corresponding to each binding rule;
if the settlement result meets the first accounting condition, generating accounting information corresponding to the binding rule according to the settlement result and the settlement period, and generating accounting description information of the accounting information according to the settlement period and service description information in the binding rule;
storing the accounting information and the accounting description information;
if the settlement result does not meet the first accounting condition, judging whether the settlement result meets a preset second accounting condition or not;
if the settlement result meets the second accounting condition, generating empty account description information, wherein the empty account information is used for indicating that no account information corresponding to the binding rule exists, and storing the empty account description information;
if the settlement result does not meet the second billing condition, generating abnormal information, and processing the abnormal information according to a preset abnormal information processing strategy.
2. The method according to claim 1, wherein the respectively settling the data to be settled in the settlement data set according to the data settlement mode in each binding rule to obtain a settlement result corresponding to each binding rule, includes:
And determining a data settlement mode contained in each binding rule, analyzing each data to be settled in the settlement data set, extracting data items corresponding to the data settlement mode from each data to be settled, and summarizing each data item to obtain a settlement result corresponding to the binding rule.
3. The method of claim 1, wherein storing the accounting information and the accounting description information comprises:
according to the mapping relation between the accounting information and the accounting subjects contained in the binding rule, the accounting information is stored in a storage area corresponding to the accounting subjects, and the accounting description information is stored in a preset storage area.
4. The method according to claim 1, wherein if the data to be settled is delivery data to be settled, the generating process of the data to be settled includes:
acquiring initial delivery data, and judging whether data items corresponding to each preset first keyword exist in the initial delivery data;
if yes, format conversion is carried out on the initial delivery data according to a preset format conversion strategy, and target delivery data is obtained;
Storing the target delivery data, and acquiring pre-stored order data corresponding to the target delivery data;
and generating data to be settled according to the target delivery data and the order data corresponding to the target delivery data.
5. The method according to claim 1, wherein if the data to be settled is statement data to be settled, the generating process of the data to be settled includes:
acquiring initial statement of account data, and judging whether a data item corresponding to each preset second keyword exists in the initial statement of account data;
if the data item corresponding to each preset second keyword exists in the initial statement data, carrying out format conversion on the initial statement data according to a preset format conversion strategy to obtain target statement data;
storing the target statement of account data, and acquiring pre-stored order data corresponding to the target statement of account data;
judging whether the number of the target amount contained in order data corresponding to the target statement data is matched with the number of the amount contained in the target statement data;
and if so, generating data to be settled according to the target statement data and order data corresponding to the target statement data.
6. The method as recited in claim 5, further comprising:
if the number of the target amount contained in the order data corresponding to the target statement data is not matched with the number of the amount contained in the target statement data, classifying the target statement data according to a preset classification strategy;
and processing the classified target statement data according to the abnormal information processing strategy.
7. A data settlement apparatus for use in settling business data of a low cost airline, the apparatus comprising:
the acquisition unit is used for acquiring each piece of pre-generated data to be settled when a preset settlement period is reached; the data to be settled comprise statement data to be settled or delivery data to be settled;
the combination unit is used for combining the data to be settled with the same service type into a settlement data set according to the service type of each data to be settled;
the settlement unit is used for acquiring each binding rule corresponding to the service type of each settlement data set according to the data settlement mode contained in each binding rule, and settling each data to be settled in the settlement data set to obtain a settlement result corresponding to each binding rule;
The first judging unit is used for judging whether the settlement result meets a preset first accounting condition according to the settlement result corresponding to each binding rule;
the generation unit is used for generating accounting information corresponding to the binding rule according to the settlement result and the settlement period and generating accounting description information of the accounting information according to the settlement period and service description information in the binding rule if the settlement result meets the first accounting condition;
the first storage unit is used for storing the accounting information and the accounting description information;
the second judging unit is used for judging whether the settlement result meets a preset second accounting condition or not if the settlement result does not meet the first accounting condition;
the second storage unit is used for generating empty account description information if the settlement result meets the second accounting condition, wherein the empty account information is used for indicating that no account information corresponding to the binding rule exists and storing the empty account description information;
and the first abnormal unit is used for generating abnormal information if the settlement result does not meet the second accounting condition, and processing the abnormal information according to a preset abnormal information processing strategy.
8. A storage medium comprising stored instructions, wherein the instructions, when executed, control a device in which the storage medium is located to perform the data settlement method according to any one of claims 1 to 6.
9. An electronic device comprising a memory and one or more instructions, wherein the one or more instructions are stored in the memory and configured to be executed by the one or more processors to perform the data settlement method of any one of claims 1-6.
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| CN112232939B (en) * | 2020-10-16 | 2023-07-18 | 上海伯俊软件科技有限公司 | Link source searching method for financial settlement |
| CN112380476A (en) * | 2020-11-17 | 2021-02-19 | 北京字跳网络技术有限公司 | Information display method and device and electronic equipment |
| CN112561503B (en) * | 2020-12-08 | 2024-03-29 | 中国航空结算有限责任公司 | Settlement method, settlement device, computer equipment and storage medium |
| CN112561675B (en) * | 2020-12-08 | 2024-03-29 | 中国航空结算有限责任公司 | Settlement method, settlement device, computer equipment and storage medium |
| CN114091996A (en) * | 2021-11-02 | 2022-02-25 | 金蝶软件（中国）有限公司 | Supplier management inventory document processing method and device and computer equipment |
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