CN111199464B - Processing system of collection data, processing method, device and medium of collection data - Google Patents
Processing system of collection data, processing method, device and medium of collection data Download PDFInfo
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Abstract
The present disclosure relates to the technical field of data processing, and provides a processing system of collection data, a processing method of collection data, a processing device of collection data, a computer storage medium and an electronic device, wherein the processing system of collection data includes: the data acquisition unit is used for transmitting the user consumption data acquired in real time to the rule engine unit; the rule engine unit is used for matching a target charging rule according to the field type of the received user consumption data, and performing fee settlement on the user consumption data based on the target charging rule to generate settlement data; matching a target tax calculation rule according to transaction code information contained in the user consumption data, and performing tax calculation on the user consumption data based on the target tax calculation rule to generate tax data; transmitting the settlement data and tax data to a data display unit; and the data display unit is used for displaying settlement data and tax data in columns. The system in the present disclosure can improve data calculation efficiency.
Description
Technical Field
The present disclosure relates to the field of data processing technologies, and in particular, to a collection data processing system, a collection data processing method, a collection data processing device, a computer storage medium, and an electronic device.
Background
With the gradual aging of the society in China, the proportion of the aged in the society is increased, the concept of people is changed, the traditional home-based aging mode can not meet the demands of the aged, the advantages of the community-based aging mode are more and more obvious, and the aged people select community-based aging. The service of various business scenes in the pension community is continuously generated, and the cost is often generated, so that the attribution of each cost is clearly displayed for uniformly managing the cost, and all the consumption behaviors in the community are uniformly recorded in the form of a receipt.
Currently, specific consumer items of a user are typically entered manually, and related fee calculations and bill generation are performed based on hard-coded (hard-coded is a software development practice in which data is embedded directly into the source code of a program or other executable object, as opposed to externally acquiring data or generating data at run-time). However, the hard coding calculation mode is not flexible enough, cannot quickly perform a large amount of complex calculation, and has low efficiency.
In view of this, there is a need in the art to develop a new processing system for payment data.
It should be noted that the information disclosed in the foregoing background section is only for enhancing understanding of the background of the present disclosure.
Disclosure of Invention
The present disclosure provides a collection data processing system, a collection data processing method, a collection data processing device, a computer storage medium, and an electronic device, so as to avoid the disadvantage of low cost calculation efficiency in the prior art at least to a certain extent.
Other features and advantages of the present disclosure will be apparent from the following detailed description, or may be learned in part by the practice of the disclosure.
According to a first aspect of the present disclosure, there is provided a processing system of cash register data, comprising: the system comprises a data acquisition unit, a rule engine unit and a data display unit; the data acquisition unit is used for transmitting the user consumption data acquired in real time to the rule engine unit; the rule engine unit is used for matching a target charging rule according to the field type of the received user consumption data, and performing charge settlement on the user consumption data based on the target charging rule to generate settlement data; matching a target tax calculation rule according to transaction code information contained in the user consumption data, and performing tax calculation on the user consumption data based on the target tax calculation rule to generate tax data; transmitting the settlement data and the tax data to a data display unit; and the data display unit is used for displaying the settlement data and the tax data in columns.
In an exemplary embodiment of the present disclosure, the data acquisition unit further includes a data verification unit; the data verification unit is used for verifying the user consumption data to determine abnormal data in the user consumption data; and carrying out error correction processing on the abnormal data.
In an exemplary embodiment of the present disclosure, the rule engine unit further includes a data encapsulation unit; the data packaging unit is used for packaging the user consumption data based on the rule engine so as to convert the user consumption data into a target data format.
In an exemplary embodiment of the present disclosure, the rule engine unit further includes an updating unit; the updating unit is used for updating the configuration program of the rule engine unit in response to the change of the charging rule and/or the tax counting rule.
In an exemplary embodiment of the present disclosure, the display unit further includes a data accounting unit; the data accounting unit is used for carrying out data accounting on the settlement data and the tax data; and if the data accounting is passed, generating a collection information record according to the user consumption data, the settlement data and the tax data.
In an exemplary embodiment of the present disclosure, the system further comprises a data storage unit; the data storage unit is used for storing the user consumption data, the settlement data and the tax data in a database in batches.
In an exemplary embodiment of the present disclosure, the system further comprises an alarm unit; the alarm unit is used for storing the generated abnormal operation log when the alarm unit detects that the user consumption data, the settlement data and the tax data are not successfully stored in a database in batches; and sending an alarm prompt to a target monitoring mechanism based on the abnormal operation log.
According to a second aspect of the present disclosure, there is provided a method of processing collection data, comprising: the rule engine based module matches a target charging rule according to the field type of the received user consumption data, and the user consumption data is subjected to fee settlement based on the target charging rule to generate settlement data; matching a target tax calculation rule according to transaction code information contained in the user consumption data, and performing tax calculation on the user consumption data based on the target tax calculation rule to generate tax data; and displaying the settlement data and the tax data in columns based on a display module.
According to a third aspect of the present disclosure, there is provided a processing apparatus of collection data, comprising: the rule engine module is used for matching a target charging rule according to the field type of the received user consumption data, and performing charge settlement on the user consumption data based on the target charging rule to generate settlement data; matching a target tax calculation rule according to transaction code information contained in the user consumption data, and performing tax calculation on the user consumption data based on the target tax calculation rule to generate tax data; and the display module is used for displaying the settlement data and the tax data in columns.
According to a fourth aspect of the present disclosure, there is provided a computer storage medium having stored thereon a computer program which, when executed by a processor, implements the method of processing the collection data of the second aspect described above.
According to a fifth aspect of the present disclosure, there is provided an electronic device comprising: a processor; and a memory for storing executable instructions of the processor; wherein the processor is configured to perform the method of processing the payment data of the second aspect described above via execution of the executable instructions.
As can be seen from the above technical solutions, the processing system for collecting data, the processing method for collecting data, the processing device for collecting data, the computer storage medium and the electronic device according to the exemplary embodiments of the present disclosure have at least the following advantages and positive effects:
in the technical schemes provided by some embodiments of the present disclosure, on one hand, user consumption data acquired in real time is sent to a rule engine unit based on a data acquisition unit, and target charging rules are matched according to field types of the received user consumption data based on the rule engine unit, and charge settlement is performed on the user consumption data based on the target charging rules, so that settlement data is generated, different charging rules can be matched for different field types, accuracy of charge settlement is guaranteed, and calculation efficiency of the settlement data is improved. Furthermore, according to the transaction code information contained in the user consumption data, the target tax calculation is matched with the target tax calculation rule, tax calculation is conducted on the user consumption data based on the target tax calculation rule, tax data are generated, different tax calculation rules can be matched for different transaction types, accuracy of tax calculation is guaranteed, item division granularity in a receipt is improved, a relevant user can intuitively and clearly know the generation process of each fee, and user experience is improved. On the other hand, the settlement data and the tax data are sent to the data display unit, and the settlement data and the tax data are displayed in columns based on the data display unit, so that the data are more visual and clear, and the information acquisition efficiency of related personnel is improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure. It will be apparent to those of ordinary skill in the art that the drawings in the following description are merely examples of the disclosure and that other drawings may be derived from them without undue effort.
FIG. 1 is a schematic diagram of a processing system for receipt data in an exemplary embodiment of the present disclosure;
FIG. 2 illustrates a flow diagram of a processing system for receipts data in another exemplary embodiment of the present disclosure;
FIG. 3 is a flow chart illustrating steps performed by a rules engine unit according to an exemplary embodiment of the present disclosure;
FIG. 4 illustrates an overall flow diagram of a processing system for receipt data in an exemplary embodiment of the present disclosure;
fig. 5 is a schematic diagram showing a configuration of a processing method of the receipt data in the exemplary embodiment of the present disclosure;
FIG. 6 is a schematic overall flow diagram illustrating a method of processing receipts in an exemplary embodiment of the disclosure;
Fig. 7 is a schematic diagram showing the structure of a processing apparatus of receipt data in an exemplary embodiment of the present disclosure;
FIG. 8 illustrates a schematic diagram of a computer storage medium in an exemplary embodiment of the present disclosure;
fig. 9 shows a schematic structural diagram of an electronic device in an exemplary embodiment of the present disclosure.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. However, the exemplary embodiments may be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the present disclosure. One skilled in the relevant art will recognize, however, that the aspects of the disclosure may be practiced without one or more of the specific details, or with other methods, components, devices, steps, etc. In other instances, well-known technical solutions have not been shown or described in detail to avoid obscuring aspects of the present disclosure.
The terms "a," "an," "the," and "said" are used in this specification to denote the presence of one or more elements/components/etc.; the terms "comprising" and "having" are intended to be inclusive and mean that there may be additional elements/components/etc. in addition to the listed elements/components/etc.; the terms "first" and "second" and the like are used merely as labels, and are not intended to limit the number of their objects.
Furthermore, the drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus a repetitive description thereof will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities.
Currently, specific consumer items of a user are typically entered manually, and related fee calculations and bill generation are performed based on hard-coded (hard-coded is a software development practice in which data is embedded directly into the source code of a program or other executable object, as opposed to externally acquiring data or generating data at run-time). However, the hard coding calculation mode is not flexible enough, cannot quickly perform a large amount of complex calculation, and has low efficiency.
In an embodiment of the present disclosure, a system for processing collection data is provided, which overcomes at least to some extent the disadvantage of the prior art that the calculation efficiency is low.
Fig. 1 is a schematic diagram illustrating a configuration of a processing system for receipt data in an exemplary embodiment of the present disclosure, and an execution subject of the processing system for receipt data may be a server for processing receipt data.
Referring to fig. 1, the processing system of the receipt data according to one embodiment of the present disclosure includes a data acquisition unit 110, a rule engine unit 120, a data display unit 130, a data storage unit 140, and an alarm unit 150. Wherein:
the data acquisition unit 110 is configured to send user consumption data acquired in real time to the rule engine unit;
the rule engine unit 120 is configured to match a target charging rule according to a field type of the received user consumption data, and perform fee settlement on the user consumption data based on the target charging rule, so as to generate settlement data; matching a target tax calculation rule according to transaction code information contained in the user consumption data, and performing tax calculation on the user consumption data based on the target tax calculation rule to generate tax data; transmitting the settlement data and tax data to a data display unit;
A data display unit 130 for displaying settlement data and tax data in columns;
the data storage unit 140 is configured to store the user consumption data, the settlement data and the tax data in a database in batches;
an alarm unit 150 for storing the generated abnormal operation log when it is detected that the user consumption data, the settlement data, and the tax data are not successfully stored in the database in batches; and sending an alarm prompt to a target monitoring mechanism based on the abnormal operation log.
In the technical scheme provided by the embodiment shown in fig. 1, on one hand, user consumption data acquired in real time is sent to a rule engine unit based on a data acquisition unit, target charging rules are matched according to field types of the received user consumption data based on the rule engine unit, and charge settlement is performed on the user consumption data based on the target charging rules, so that settlement data is generated, different charging rules can be matched for different field types, the accuracy of charge settlement is ensured, and the calculation efficiency of the settlement data is improved. Furthermore, according to the transaction code information contained in the user consumption data, the target tax calculation is matched with the target tax calculation rule, tax calculation is conducted on the user consumption data based on the target tax calculation rule, tax data are generated, different tax calculation rules can be matched for different transaction types, accuracy of tax calculation is guaranteed, item division granularity in a receipt is improved, a relevant user can intuitively and clearly know the generation process of each fee, and user experience is improved. On the other hand, the settlement data and the tax data are sent to the data display unit, and the settlement data and the tax data are displayed in columns based on the data display unit, so that the data are more visual and clear, and the information acquisition efficiency of related personnel is improved.
The processing system of the collection data in the present disclosure may be applied to a pension community, and the user may be an elderly person in the pension community. The user consumption data can be house fee data, restaurant fee data, medical fee data, nursing fee data, consumption data of other paid services and transaction code information corresponding to various data generated when the user lives in the pension community.
The data acquisition unit 110 is configured to send the user consumption data acquired in real time to the rule engine unit.
In an exemplary embodiment of the present disclosure, the data acquisition unit 110 may be a plurality of data acquisition interfaces, such as: and the RS232 and RS485 serial ports or the wireless WIFI module are used for realizing wireless access of data.
In an exemplary embodiment of the present disclosure, a plurality of network interfaces may be preset, and a server generating a bill of collection may be connected with a consumer system (e.g., a housing management system, a catering system, a medical system, etc.) of a user through the network interfaces, so as to synchronously acquire consumer data of the user in real time. A data summarizing and transmitting interface may be further provided to summarize and count the user consumption data generated in the user consumption system at regular time, and transmit the summarized user consumption data to the data collecting unit 110 at fixed point. It should be noted that, the specific acquisition mode of the user consumption data can be set according to the actual situation, which belongs to the protection scope of the present disclosure.
In an exemplary embodiment of the present disclosure, the data collection unit 110 further includes a data verification unit 1101, configured to verify user consumption data to determine abnormal data in the user consumption data; and carrying out error correction processing on the abnormal data. For example, referring to fig. 2, fig. 2 is a schematic flow chart of processing abnormal data in user consumption data by the data verification unit 1101 in an exemplary embodiment of the present disclosure, and a specific embodiment is explained below with reference to fig. 2.
In step S201, the user consumption data is checked to determine abnormal data in the user consumption data.
In an exemplary embodiment of the present disclosure, the data verification unit 1101 may verify the user consumption data to determine abnormal data in the user consumption data, and the abnormal data may be, for example, data with obvious errors, and may be, for example, wrongly written words included in the user consumption data: the user consumes the "owner" of the data "owner's house cost". Illustratively, the anomaly data may also be user consumption data that exceeds the highest charge standard, such as: when the highest housing cost is 80 yuan/day, user consumption data exceeding the highest housing cost (for example, 5000 yuan/day) can be regarded as abnormal data.
In step S202, error correction processing is performed on the abnormal data.
In an exemplary embodiment of the present disclosure, after determining the above-described abnormal data, the data verification unit 1101 may record the above-described abnormal data, for example: and temporarily storing the abnormal data into a memory buffer area. Further, for example, referring to the explanation of step S201, error correction processing may be performed on the user consumption data "main house cost" to obtain user consumption data "housing cost".
For example, after recording the abnormal data (5000 yuan/day), the data verification unit may send a notification message to the alarm unit 150, so that the alarm unit 150 sends an alarm prompt to a target monitoring mechanism (e.g., a collection audit mechanism) to remind related personnel to timely verify and modify the abnormal data, so as to ensure the accuracy of the acquired user consumption data.
In an exemplary embodiment of the present disclosure, the data collection unit 110 may transmit the user consumption data after the above-described error correction process to the rule engine unit 120.
With continued reference to fig. 1, the rule engine unit 120 is configured to match a target charging rule according to a field type of the received user consumption data, and perform fee settlement on the user consumption data based on the target charging rule, so as to generate settlement data; matching a target tax calculation rule according to transaction code information contained in the user consumption data, and performing tax calculation on the user consumption data based on the target tax calculation rule to generate tax data; and sending the settlement data and the tax data to a data display unit.
In an exemplary embodiment of the present disclosure, the rule engine unit 120 includes an updating unit 1201 and a data encapsulation unit 1202. Wherein the updating unit 1201 is configured to update the configuration program of the rule engine unit in response to a change of the charging rule and/or the tax-counting rule. The data encapsulation unit 1202 is configured to encapsulate the user consumption data based on a rule engine to convert the user consumption data into a target data format.
In an exemplary embodiment of the present disclosure, a rules engine is a component embedded in an application that enables the separation of business decisions from application code and the writing of business decisions using predefined semantic modules. And receiving data input, interpreting the business rule, and making a business decision according to the business rule.
It should be noted that, the rule engine unit 120 in the present disclosure includes various charging rules (e.g., housing charging rules, restaurant charging rules, medical charging rules, etc.) and tax charging rules (e.g., tax charging rules for sales products, etc.), which can be used for settlement of user consumption data and tax settlement of related transaction types. By setting the rule engine, complex and changeable charging rules can be liberated from hard codes and stored in files in the form of rule scripts, so that the rules can be changed immediately in an online environment without modifying the code restarting machine, the complexity of program development is reduced, and the cost of enterprises is saved. In addition, in the actual project operation, the required charging rules can be flexibly selected, and the corresponding cost detail items can be calculated by directly calling the rule engine, so that the data processing and calculating efficiency is improved.
In an exemplary embodiment of the present disclosure, the rule engine unit 120 may be an independent pluggable device, and further, when the related charging rule and/or tax rule are changed, the configuration program of the rule engine may be updated based on the updating unit 1201, so that the free configuration of various rules can be implemented, and the rule platform meets the industry standard, and has high speed and high efficiency.
In an exemplary embodiment of the present disclosure, after the rule engine unit 120 receives the user consumption data (e.g., data that is not subjected to fee settlement and tax calculation), the data encapsulation unit 1202 in the rule engine unit 120 may encapsulate the user consumption data based on a preset rule engine to process the user consumption data into a data format that the rule engine can directly process. Further, after the user consumption data is encapsulated, the target charging rules in the rules engine may be matched according to the field type of the user consumption data.
In the exemplary embodiment of the present disclosure, data encapsulation (data encapsulation) is to ensure that a data packet arrives at a destination reliably and accurately when it is transmitted between different devices, and efficiently uses transmission resources (transmission devices and transmission lines), whereas the data packet is split and packed in advance, and a destination address, a local address, and a number of bytes for error correction are attached to the transmitted data packet, and encryption processing is performed. Illustratively, the process of the rule engine for encapsulating the user consumption data may be: firstly, converting user consumption Data into a Data segment (Data segment, refer to a block of memory area for storing initialized global variables in a program), further converting the Data segment into Data packets (Data Packet), wherein a Data Packet is divided into two parts including control information (header) and Data itself (payload), if a Data Packet is compared with a envelope, the header corresponds to the envelope, and the Data part of the Data Packet corresponds to the content of the envelope) or datagrams (Datagram, a basic unit of Data transmitted through a network, including a header (header) and Data itself, wherein the header describes the relationship between the destination of the Data and other Data), and placing a logical address in the header to ensure that each Data Packet can be transmitted through the internet, and secondly, converting the Data Packet or Datagram into a Data frame (protocol Data unit which is a Data link layer, and comprises three parts, namely a frame header, a Data part and a frame end) for transmission in the local network. Finally, the data frame is converted into a bit stream to complete the data encapsulation. Through data encapsulation, the data security can be ensured, and the user consumption data can be converted into a data format which can be directly processed by a rule engine, so that the subsequent data processing speed is ensured.
In an exemplary embodiment of the present disclosure, after the data encapsulation is completed, referring to fig. 3, fig. 3 is an exemplary flowchart showing a processing method of the receipt data in an exemplary embodiment of the present disclosure, specifically showing a flowchart of the rule engine unit 120 generating settlement data and tax data according to user consumption data, and a specific embodiment will be explained below with reference to fig. 3.
In step S301, the target charging rules in the rules engine are matched according to the field type of the received user consumption data.
In an exemplary embodiment of the present disclosure, the rule engine unit 120 may match the target charging rule according to the field type of the received user consumption data.
In an exemplary embodiment of the present disclosure, in a database, a "column" of a table is referred to as a "field," each field containing information of a certain topic. Just as in the "address book" database, "name", "contact" are attributes common to all rows in the table, these columns are referred to as the "name" field and the "contact" field. Referring to the explanation related to the above steps, when the field included in the user consumption data is "house fee", the corresponding field type may be "housing class". When the field included in the user consumption data is "restaurant fee", the corresponding field type may be "restaurant class".
In an exemplary embodiment of the present disclosure, when the field type of the user consumption data is "housing class", then the "housing class billing rule" in the rule engine unit 120 may be determined as the target billing rule matching the above-described user consumption data. When the field type of the user consumption data is "catering type", the "catering type charging rule" in the rule engine can be determined as a target charging rule matched with the user consumption data.
In step S302, the user consumption data is subjected to fee settlement based on the target charging rule to generate settlement data.
In an exemplary embodiment of the present disclosure, after determining the above-described target charging rule, the rule engine unit 120 may perform charge settlement on the user consumption data based on the target charging rule to generate settlement data. For example, taking the field type "housing class" as an example, based on the information such as the daily fee, residence time, etc. contained in the user consumption data, the daily fee and residence time may be multiplied according to the "housing class billing rule", and then the obtained product may be determined as the above settlement data. And the user consumption data is subjected to fee settlement based on the target charging rules to generate settlement data, so that different charging rules can be matched for different field types, the accuracy of fee settlement is ensured, and the calculation efficiency of the settlement data is improved.
In an exemplary embodiment of the present disclosure, when the rule engine unit 120 executes the rule, the rule may be executed one by one according to the priority order in the rule execution queue, and the calculation result of the current rule may affect the following execution conditions and order, for example, some execution rules that do not conform to the piece of data may be removed from the execution queue, thereby forming a "dynamic" rule execution chain. For example: when the rule engine executes and judges that the target calculation rule being executed is a house fee receipt of the "house type" of the pension community, the rule engine eliminates the relevant execution rule of the "community type" in the rule execution queue, and only retains the calculation rule of the receipt of the "house mode". Therefore, the independent execution of rules can be ensured, and the mutual interference among a large number of rules can be avoided.
In step S303, the target tax calculation rule is matched according to the transaction code information included in the user consumption data.
In an exemplary embodiment of the present disclosure, the target tax rules in the rules engine may be matched according to the transaction code information contained in the user consumption data. For example, the data of the sales category may be set to be data for which tax calculation is required, the transaction code thereof is a transaction code starting with "1", and the data of the user such as the house fee is data for which tax calculation is not required, and the transaction codes thereof are all transaction codes starting with "2". For example, when the transaction code information included in the user consumption data is "100000002", it may be determined that the data is data of a sales product class, and tax calculation is required, and the tax calculation rule of the sales product class may be determined as the target tax calculation rule. When the transaction code information contained in the user consumption data is the participation data of 200000002, the data can be determined to be the house fee data of the user, and the tax calculating program can be directly jumped out when the data is the data which does not need tax calculation. Therefore, the resource waste of the system can be avoided, and the data processing efficiency is improved.
In step S304, tax calculation is performed on the user consumption data based on the target tax calculation rule, and tax data is generated.
In an exemplary embodiment of the present disclosure, after determining the above target tax rule, further, the rule engine unit 120 may obtain a corresponding tax point (a beginning point of tax or a beginning point of tax, which is defined by a tax law, and indicates a beginning point amount of starting tax collection for a tax administration object) and a tax type (a tax rate is a scale of calculating a tax and is an important mark for measuring whether the tax is light or heavy) according to the transaction code information. Furthermore, tax calculation may be performed on the user consumption data according to the target tax rule to generate tax data.
In the exemplary embodiment of the disclosure, tax calculation is performed on different user consumption data based on different target tax calculation rules, so that different tax calculation rules can be matched for different transaction types, the accuracy of tax calculation is ensured, the item division granularity in a receipt is improved, a relevant user can intuitively understand the cost generation process, and the user experience is improved. The technical problem that complex tax settlement cannot be automatically carried out in the prior art can be solved, and the intelligent degree of the related technology is improved.
In an exemplary embodiment of the present disclosure, fig. 4 shows a flowchart illustrating the steps performed by the rule engine unit 120 in an exemplary embodiment of the present disclosure, and a specific implementation is explained below in connection with fig. 4.
In step S401, start;
in step S402, user consumption data is received;
in step S403, the user consumption data is subjected to packaging processing;
in step S404, matching the corresponding target calculation rule based on the field type of the user consumption data;
in step S405, fee settlement is performed based on the target calculation rule to generate settlement data;
in step S406, matching the target tax calculation rule according to the transaction code information contained in the user consumption data;
in step S407, tax calculation is performed on the user consumption data based on the target tax calculation rule to generate tax data;
in step S408, the settlement data and tax data are stored;
in step S409, the process ends.
In an exemplary embodiment of the present disclosure, the rule engine unit 120 may transmit the settlement data and tax data described above to the data display unit 130.
And a data display unit 130 for displaying settlement data and tax data in columns.
In an exemplary embodiment of the present disclosure, the data display unit 130 may include a data accounting unit 1301 for performing data accounting on settlement data and tax data; and if the data accounting is passed, generating a collection information record according to the user consumption data, the settlement data and the tax data.
In an exemplary embodiment of the present disclosure, after the settlement data and tax data are calculated, the settlement data and the tax data may be data-calculated (including calculating the settlement data and calculating the tax data) based on the data calculation unit 1301, and further, if the data calculation passes, a collection information record may be generated according to the user consumption data, the settlement data, and the tax data. For example, the user consumption data, and the process of generating settlement data based on the target billing rules, may be presented on a bill. Therefore, the technical problems of low efficiency, time and labor waste caused by manual generation of the receipt in the prior art can be solved, the labor cost of enterprises is reduced, and the generation efficiency of the receipt and the working efficiency of the enterprises are improved.
In an exemplary embodiment of the present disclosure, the data accounting unit 1301 may also request a unique credential number to the SAP system (Systems Applications and Products in Data Processing, SAP is a company name and a software name of "enterprise management solution") to store the unique credential number in the payment information record, and further, when the payment of the subsequent user is completed, the server may send a prompt message to the SAP system that the payment fee corresponding to the credential number has been completed, and further, the SAP system may update the state of the payment information record corresponding to the credential number to be completed.
In an exemplary embodiment of the present disclosure, the data display unit 130 may display the settlement data and tax data in columns after the data accounting unit 1301 passes the data accounting. The accounting data and the accounting data calculating process can be displayed in the fee accounting column, and the tax data calculating process can be displayed in the tax accounting column, so that the transparency of the related calculating process can be ensured, the user can clearly and intuitively know the sources of the fees and the specific charging principle, and the user experience is improved.
The data storage unit 140 is configured to store the user consumption data, the settlement data, and the tax data in a database in batches.
In an exemplary embodiment of the present disclosure, after the receipt information record is generated, in case the data amount is large, the data storage unit 140 may batch store the user consumption data, the settlement data, and the tax data into the database in batches. If the fact that the user consumption data, the settlement data and the tax data are not successfully stored in batches in the database is detected, namely, the situation that the storage is abnormal or the storage fails (for example, the database is connected with abnormal data and cannot be stored) is detected, the data can be temporarily stored in a cache.
In an exemplary embodiment of the present disclosure, when it is detected that the user consumption data, the settlement data, and the tax data are not successfully saved in bulk into the database, the alarm unit 150 may save the generated abnormal operation log; based on the abnormal operation log, an alarm prompt is sent to a target monitoring mechanism so as to remind relevant operation and maintenance personnel to process in time.
In the exemplary embodiment of the present disclosure, while the save fails, the data storage unit 140 may perform a data rollback operation (i.e., when the table a (including the tables A1 and A2) is updated, in a case where the update of the table A2 is erroneous when the update of the table A1 is completed, the state of the table A1 is returned to the state before the update at this time based on the update operation occurring in the same table), so that it is possible to avoid the situation that the table A1 is affected by the table A2 and a storage error occurs, and improve the accuracy of data storage.
The disclosure further provides a method for processing the receipt data, and fig. 5 is a schematic flow chart illustrating a method for processing the receipt data in an exemplary embodiment of the disclosure, including steps S510 to S540, and a specific embodiment is explained below with reference to fig. 5.
Step S510, the rule-based engine module matches the target charging rule according to the field type of the received user consumption data, and the user consumption data is subjected to fee settlement based on the target charging rule, so as to generate settlement data.
In an exemplary embodiment of the present disclosure, the obtained user consumption data may be checked based on the rule engine module to determine abnormal data in the user consumption data; and carrying out error correction processing on the abnormal data.
Step S520, the rule engine module is based on matching the target tax calculation rule according to the transaction code information contained in the user consumption data, and tax calculation is performed on the user consumption data based on the target tax calculation rule, so as to generate tax data.
In an exemplary embodiment of the present disclosure, the user consumption data may be encapsulated based on a rule engine module to convert the user consumption data into a target data format.
In step S530, the rule-based engine module generates a collection information record according to the user consumption data, the settlement data, and the tax data.
In an exemplary embodiment of the present disclosure, the settlement data and tax data may also be data-accounted based on the rules engine module; and if the data accounting is passed, generating a collection information record according to the user consumption data, the settlement data and the tax data.
In exemplary embodiments of the present disclosure, user consumption data, settlement data, and tax data may also be saved in bulk to a database based on the rules engine module.
In an exemplary embodiment of the present disclosure, when it is detected that the user consumption data, the settlement data, and the tax data are not successfully saved in bulk into the database, the generated abnormal operation log may be saved based on the rule engine module; and sending an alarm prompt to a target monitoring mechanism based on the abnormal operation log.
Step S540, in response to the change of the charging rule and/or the tax rule, updating the configuration program of the rule engine module based on the updating module.
In an exemplary embodiment of the present disclosure, the configuration program of the rule engine module may also be updated based on the update module when the billing rules or tax rules are changed.
In an exemplary embodiment of the present disclosure, fig. 6 is a schematic overall flowchart of a method for processing the receipt data in an exemplary embodiment of the present disclosure, and a specific embodiment is explained below in connection with fig. 6.
In step S601, start;
in step S602, input user consumption data is acquired;
in step S603, it is checked whether or not there is abnormal data in the user consumption data;
in step S604, if yes, recording and correcting the abnormal data, and sending an alarm prompt to the target monitoring mechanism;
In step S605, if not, matching the target rules (including the target calculation rules and the target tax calculation rules) in the rule engine module;
in step S606, fee settlement and tax calculation are performed based on the rule engine module, and settlement data and tax data are generated;
in step S607, data accounting is performed based on the rule engine module;
in step S608, if the data accounting is passed, a collection information record is generated according to the user consumption data, the settlement data and the tax data;
in step S609, the collection information record is temporarily stored;
in step S610, matching the unique credential for the collection information record;
in step S611, the user consumption data, the settlement data and the tax data are saved in batch in the database;
in step S612, it is determined whether or not the batch save is abnormal;
in step S613, if an abnormality occurs, the generated abnormal operation log is recorded, and an alarm prompt is sent to the target monitoring mechanism.
In step S614, if no abnormality occurs, the saving is completed;
in step S615, it ends.
The present disclosure also provides a processing device for collecting data, and fig. 7 shows a schematic structural diagram of the processing device for collecting data in an exemplary embodiment of the present disclosure; as shown in fig. 7, the processing apparatus 700 of the receipt data may include a rule engine module 701, a display module 702, and an update module 703. Wherein:
The rule engine module 701 is configured to match the target charging rule in the rule engine according to the field type of the user consumption data.
In an exemplary embodiment of the present disclosure, the rule engine module is configured to verify the obtained user consumption data to determine abnormal data in the user consumption data; and carrying out error correction processing on the abnormal data.
In an exemplary embodiment of the present disclosure, the rule engine module is configured to encapsulate the user consumption data to convert the user consumption data into a target data format.
In an exemplary embodiment of the present disclosure, the rules engine module is for data accounting of settlement data and tax data; and if the data accounting is passed, generating a collection information record according to the user consumption data, the settlement data and the tax data.
In an exemplary embodiment of the present disclosure, the rules engine module is configured to store user consumption data, settlement data, and tax data in bulk to a database.
In an exemplary embodiment of the present disclosure, the rule engine module is configured to save the generated abnormal operation log based on the rule engine module when it is detected that the user consumption data, the settlement data, and the tax data are not successfully saved in the database in batches; and sending an alarm prompt to a target monitoring mechanism based on the abnormal operation log.
The display module 702 is configured to display settlement data and tax data in columns.
In an exemplary embodiment of the present disclosure, the display module is configured to display settlement data and tax data in columns.
The updating module 703 is configured to update the configuration program of the rule engine module when the charging rule or the tax rule is changed.
In an exemplary embodiment of the present disclosure, the updating module is configured to update the configuration program of the rule engine module when the charging rule or the tax rule is changed.
The details of each module in the above-mentioned processing device for collecting data are already described in detail in the corresponding processing system for collecting data, so that they will not be described here again.
It should be noted that although in the above detailed description several modules or units of a device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit in accordance with embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into a plurality of modules or units to be embodied.
Furthermore, although the steps of the methods in the present disclosure are depicted in a particular order in the drawings, this does not require or imply that the steps must be performed in that particular order or that all illustrated steps be performed in order to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step to perform, and/or one step decomposed into multiple steps to perform, etc.
From the above description of embodiments, those skilled in the art will readily appreciate that the example embodiments described herein may be implemented in software, or may be implemented in software in combination with the necessary hardware. Thus, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (may be a CD-ROM, a U-disk, a mobile hard disk, etc.) or on a network, including several instructions to cause a computing device (may be a personal computer, a server, a mobile terminal, or a network device, etc.) to perform the method according to the embodiments of the present disclosure.
In an exemplary embodiment of the present disclosure, a computer storage medium capable of implementing the above method is also provided. On which a program product is stored which enables the implementation of the method described above in the present specification. In some possible embodiments, the various aspects of the present disclosure may also be implemented in the form of a program product comprising program code for causing a terminal device to carry out the steps according to the various exemplary embodiments of the disclosure as described in the "exemplary methods" section of this specification, when the program product is run on the terminal device.
Referring to fig. 8, a program product 800 for implementing the above-described method according to an embodiment of the present disclosure is described, which may employ a portable compact disc read-only memory (CD-ROM) and include program code, and may be run on a terminal device, such as a personal computer. However, the program product of the present disclosure is not limited thereto, and in this document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium can be, for example, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium would include the following: an electrical connection having one or more wires, a portable disk, a hard disk, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The computer readable signal medium may include a data signal propagated in baseband or as part of a carrier wave with readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A readable signal medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of remote computing devices, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., connected via the Internet using an Internet service provider).
In addition, in an exemplary embodiment of the present disclosure, an electronic device capable of implementing the above method is also provided.
Those skilled in the art will appreciate that the various aspects of the present disclosure may be implemented as a system, method, or program product. Accordingly, various aspects of the disclosure may be embodied in the following forms, namely: an entirely hardware embodiment, an entirely software embodiment (including firmware, micro-code, etc.) or an embodiment combining hardware and software aspects may be referred to herein as a "circuit," module "or" system.
An electronic device 900 according to such an embodiment of the present disclosure is described below with reference to fig. 9. The electronic device 900 shown in fig. 9 is merely an example and should not be construed to limit the functionality and scope of use of embodiments of the present disclosure in any way.
As shown in fig. 9, the electronic device 900 is embodied in the form of a general purpose computing device. Components of electronic device 900 may include, but are not limited to: the at least one processing unit 910, the at least one storage unit 920, and a bus 930 connecting the different system components (including the storage unit 920 and the processing unit 910).
Wherein the storage unit stores program code that is executable by the processing unit 910 such that the processing unit 910 performs steps according to various exemplary embodiments of the present disclosure described in the above-described "exemplary methods" section of the present specification. For example, the processing unit 910 may perform the steps as shown in fig. 5: step S510, matching a target charging rule according to the field type of the received user consumption data based on a rule engine module, and performing fee settlement on the user consumption data based on the target charging rule to generate settlement data; step S520, matching a target tax calculation rule according to transaction code information contained in the user consumption data based on the rule engine module, and performing tax calculation on the user consumption data based on the target tax calculation rule to generate tax data; step S530, the settlement data and the tax data are displayed in columns based on the display module; step S540, in response to the change of the charging rule and/or the tax rule, the configuration program of the rule engine module is updated based on the update module.
The storage unit 920 may include readable media in the form of volatile storage units, such as Random Access Memory (RAM) 9201 and/or cache memory 9202, and may further include Read Only Memory (ROM) 9203.
The storage unit 920 may also include a program/utility 9204 having a set (at least one) of program modules 9205, such program modules 9205 include, but are not limited to: an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment.
The bus 930 may be one or more of several types of bus structures including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.
The electronic device 900 may also communicate with one or more external devices 1000 (e.g., keyboard, pointing device, bluetooth device, etc.), with one or more devices that enable a user to interact with the electronic device 900, and/or with any device (e.g., router, modem, etc.) that enables the electronic device 900 to communicate with one or more other computing devices. Such communication may occur through an input/output (I/O) interface 950. Also, electronic device 900 may communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet, through network adapter 960. As shown, the network adapter 960 communicates with other modules of the electronic device 900 over the bus 930. It should be appreciated that although not shown, other hardware and/or software modules may be used in connection with electronic device 900, including, but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.
From the above description of embodiments, those skilled in the art will readily appreciate that the example embodiments described herein may be implemented in software, or may be implemented in software in combination with the necessary hardware. Thus, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (may be a CD-ROM, a U-disk, a mobile hard disk, etc.) or on a network, including several instructions to cause a computing device (may be a personal computer, a server, a terminal device, or a network device, etc.) to perform the method according to the embodiments of the present disclosure.
Furthermore, the above-described figures are only schematic illustrations of processes included in the method according to the exemplary embodiments of the present disclosure, and are not intended to be limiting. It will be readily appreciated that the processes shown in the above figures do not indicate or limit the temporal order of these processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, for example, among a plurality of modules.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any adaptations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
Claims (10)
1. A system for processing collection data, comprising:
the system comprises a data acquisition unit, a rule engine unit and a data display unit;
the data acquisition unit is used for transmitting the user consumption data acquired in real time to the rule engine unit;
the rule engine unit is used for matching a target charging rule according to the field type of the received user consumption data, and performing charge settlement on the user consumption data based on the target charging rule to generate settlement data; matching a target tax calculation rule according to transaction code information contained in the user consumption data, and performing tax calculation on the user consumption data based on the target tax calculation rule to generate tax data; transmitting the settlement data and the tax data to a data display unit; the rule engine unit further comprises an updating unit; the updating unit is used for responding to the change of the charging rule and/or the tax-counting rule and updating the configuration program of the rule engine unit;
and the data display unit is used for displaying the settlement data and the tax data in columns.
2. The system of claim 1, wherein the data acquisition unit further comprises a data verification unit;
The data verification unit is used for verifying the user consumption data to determine abnormal data in the user consumption data; and carrying out error correction processing on the abnormal data.
3. The system according to claim 1 or 2, wherein the rule engine unit further comprises a data encapsulation unit;
the data packaging unit is used for packaging the user consumption data based on the rule engine so as to convert the user consumption data into a target data format.
4. The system of claim 1, wherein the display unit further comprises a data accounting unit;
the data accounting unit is used for carrying out data accounting on the settlement data and the tax data; and if the data accounting is passed, generating a collection information record according to the user consumption data, the settlement data and the tax data.
5. The system of claim 1, further comprising a data storage unit;
the data storage unit is used for storing the user consumption data, the settlement data and the tax data in a database in batches.
6. The system of claim 5, further comprising an alarm unit;
The alarm unit is used for storing the generated abnormal operation log when the alarm unit detects that the user consumption data, the settlement data and the tax data are not successfully stored in a database in batches; and sending an alarm prompt to a target monitoring mechanism based on the abnormal operation log.
7. A method of processing collection data, comprising:
matching a target charging rule according to the field type of the received user consumption data based on a rule engine module, and performing fee settlement on the user consumption data based on the target charging rule to generate settlement data; matching a target tax calculation rule according to transaction code information contained in the user consumption data, and performing tax calculation on the user consumption data based on the target tax calculation rule to generate tax data;
the settlement data and the tax data are displayed in columns based on a display module; and
and updating the configuration program of the rule engine unit in response to the change of the charging rule and/or the tax counting rule.
8. A device for processing collection data, comprising:
the rule engine module is used for matching a target charging rule according to the field type of the received user consumption data, and performing fee settlement on the user consumption data based on the target charging rule to generate settlement data; matching a target tax calculation rule according to transaction code information contained in the user consumption data, and performing tax calculation on the user consumption data based on the target tax calculation rule to generate tax data; the rule engine module is also used for updating the configuration program of the rule engine module in response to the change of the charging rule and/or the tax rule;
And the display module is used for displaying the settlement data and the tax data in columns.
9. A computer storage medium having a computer program stored thereon, wherein the computer program when executed by a processor implements the method of processing the collection data of claim 7.
10. An electronic device, comprising:
a processor; and
a memory for storing executable instructions of the processor;
wherein the processor is configured to perform the method of processing the cash register data of claim 7 via execution of the executable instructions.
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| CN109670943A (en) * | 2018-12-17 | 2019-04-23 | 深圳乐信软件技术有限公司 | A kind of settlement system, method, computer equipment and storage medium |
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