TWI490797B - Dynamic Setting of Pricing Operation System and Method - Google Patents

Description

Dynamically set batch operation system and method

The present invention is a system and method, and is a dynamically set-up operating system and method.

With the continuous development of various telecommunication services, the traditional practice of writing order pricing logic in dead code has been difficult to cope with the increasingly complex and variable pricing rules. Therefore, the invention of many subsequent pricing methods is to change the form setting method, and set various pricing rules in advance in the form to reduce the chance of modifying the program and system version due to business changes. For example: "Taiwan Patent I254522: Mobile Internet Responsibility Rate Management System", "Taiwan Patent PD1627: Dynamic Design Method for Telecom Product Web Page Fee Table", and "Taiwan Patent PD1587: Order System Pricing Method" and other patents. The foregoing inventions have their own characteristics, but the contents of the rule setting table are also prone to rapid expansion with the newly added business, which leads to difficulty in maintaining the form in the future; in addition, many preferential discount schemes on the order business often exist in various kinds. There are complex relationships such as prioritization, interdependence, mutual exclusion, etc., and the existing pricing methods have not stated the handling of these complex relationships. For the above reasons, in addition to the advantages of the original dynamic form setting, the present invention solves the aforementioned problems through a more flexible rule table design, and uses the reflection technology to cooperate with the data capture table to increase the rating system. Practicality. In addition, the current various order pricing methods, The rating process is basically only operated on a single host. Once the system encounters problems, the rating function will be shut down, which will lead to the failure of the order operation, and the problem can be re-received after the problem is eliminated. In addition to being able to operate on a single host, the pricing method of the present invention can also be deployed on multiple hosts for parallel processing. In addition to improving efficiency, it is more fault-tolerant.

It can be seen that there are still many shortcomings in the above-mentioned methods of use, which is not a good design, but needs to be improved.

The invention firstly analyzes and organizes various rating rules of the existing order business, classifies the rating services of each business, and defines the relevance of the rating service to the acceptance business. Each order acceptance may include several rating services, and each rating service contains one or several rating items that will incur costs, and different rating items also have different cost items. Each expense item has its pricing rules and possible discounts. For example, Figure 1 is a conceptual diagram of the rating of the new application for the rating service, and Figure 2 is a conceptual diagram of the rating of the trusted inquiry pricing service. The present invention designs a related price setting table according to this concept.

The dynamic setting of the batch price operation system of the present invention comprises: a control module, which manages the batch price process and the work distribution and interfaces with the external system; and a data conversion module that accepts the control module from the outside The system data is converted into the input interface of the dynamically set batch operation system, and the output interface of the dynamically set batch operation system is converted into the external system data; the batch price module outputs the price according to the rating rule. The result is to the control module; a discount module outputs the discount result to the control module according to the discount rule; a data capture module outputs the corresponding batch price rule to the rating module through the data capture table , extract the corresponding discount rule output To the discount module; and a rules engine, which manages the dynamic setting of the rating operation system to reduce the rules scattered throughout the system and the setting table, and provides a judgment of the rule candidate list, and outputs the qualifying price rules and Discount rules.

The database further includes a database for storing the relevant batch price setting table, the data extraction table, the reference mutual exclusion setting table, and the reference dependent setting table, and feeding the data conversion module, the rating module, The discount module, the data capture module and the rules engine.

The method for dynamically operating a batch price, the method comprising: after a control module receives data from an external system, a data conversion module converts the data into a batch of price data; and a batch price module, according to the batch The price data and the rating rules provided by a rule engine are priced; a discount module performs discount calculation based on the rating data and the discount rules provided by the rule engine; and the data is aggregated and then The conversion module converts the final price data into an output interface format; a rule engine provides the rating module and the discount module to obtain the rule list data when processing, and obtains the rule list data for the list Rule condition judgment and rule setting relationship processing; a data capture module is responsible for collecting the content of the batch data required by each module in the batch process, and collecting the data and transmitting it back to the data conversion module, the batch a price module, the discount module and the rule engine; and a database for storing relevant batch price setting table, data extraction table, reference mutual exclusion setting table, and reference phase Set the table, and fed to the data conversion module, batch module price, the discount module, the data acquisition module and the rule engine.

The control module has the following steps: receiving an order acceptance data sent by an external system, determining whether the processing flow is an order processing flow or an order processing flow; if the order processing flow, calling the data conversion module to perform input data conversion Obtaining the rating data; obtaining the corresponding rating service based on the converted batch price data; assigning the rating service to other dynamic setting The host of the operating system of the batch price; after the host of the batch-operated system with dynamic setting completes the rating, all the results of the rating are obtained from the database and the results are collected; if the dynamic setting is performed, If the host of the system is abnormal, the device will be redone. The data conversion module is called to convert the data; the batch price result is sent; if it is the batch price processing process, the batch price object is obtained according to the price service; and the price object is obtained. The fee is charged; the rating module is called to perform the rating calculation; the discount module performs the discount processing; and the rating result is written into the database.

The data conversion module has the following steps: when receiving the data transmitted by the control module, first performing data type judgment, if the order processing process is, accepting the order data; judging the data source; and converting the input order data; Transfer the acceptance order data to the batch interface format of the dynamically set batch price operation system; if it is the batch price processing process, receive the batch price data; the batch price judges the data source and performs the output data conversion; and converts the batch price data into The interface format of the external system.

Wherein, the rating module has the following steps: according to the batch price data sent by the control module, obtain a list of the rating rules in the relevant batch price setting table, and perform the rating; call the rule engine to check the list of the rating rules. And processing; obtaining the confirmation of the approval price rules; obtaining the details of the confirmation of the approval of the approval rules; determining the type of the rating; calling the data acquisition module to obtain the required information for the approval; performing the rating operation; and calculating the result Return to the control module.

The discount module has the following steps: the discount data sent by the control module is obtained in the relevant batch price setting table to obtain a discount rule list, and the discount calculation is performed; the rule engine is called to perform condition checking and processing on the discount rule list; After obtaining the confirmed discount rule; obtaining the detailed information of the confirmed discount rule; determining the type of the discount; calling the data acquisition module to obtain the information required for the discount; performing the discount calculation; and transmitting the calculation result back to the control module.

The data capture module is as follows: according to the sent data, check and confirm the data capture rules; refer to the relevant batch price setting table to obtain the relevant setting information of the capture rule; determine the source of the data; obtain relevant input parameter information ; to access data from various sources; and to return information obtained from the data.

The rule engine has the following steps: receiving the list of rules sent by the rating module or the discount module; determining the rules in the rule list one by one according to the set order; obtaining all definition information of the rules; The rule condition judgment data; judge the condition calculation; judge whether the rule meets the condition; if the rule meets the condition, refer to the mutual exclusion setting table, and remove the mutually exclusive preferential discount setting; if the rule does not meet the condition, refer to the dependency setting table, The preferential discounts are set to be removed; check whether there are unresolved rules. If there are undetermined rules, repeat the above rules in the order they are set; and if there are no unqualified conditions, output the rules that meet the conditions. List.

The dynamic setting pricing operation system and method of the present invention has the following advantages over other conventional technologies:

1. The traditional rating method is mostly a single host operation. If there is a problem in the system, the rating function will be shut down, which will lead to the failure of the order operation and need to be re-received. In addition to being able to operate on a single host, the system can also be deployed on multiple hosts for parallel processing. In addition to improving efficiency, it is more fault-tolerant.

2. The existing form setting rules practice, the content of the form is often easily expanded due to the continuous innovation of business rules, resulting in difficulties in management and maintenance in the future. The invention utilizes the rule condition code, the logic judgment instruction group and the form design of the judgment item, and extracts the condition item from the rule, so that the complicated and diverse price rule condition can be utilized to add or apply the phase. The setting of the same condition code improves the repeated usage rate and greatly reduces the speed of the content of the rule setting table.

3. The telecommunications business is fiercely competitive, and various preferential discount schemes are becoming more and more complicated. The present invention can be easily set up for various pricing methods and preferential discount schemes through independent rule conditions and using rule-dependent and mutually exclusive forms. Dependency, mutual exclusion, and so on, the various relationships are set and managed, which is more flexible than the existing pricing method, and is easier to meet the existing complex pricing business needs.

4. The present invention uses the reflection technique and cooperates with the design of the data acquisition table so that any attribute data required for the price is not stored in the system, and only one source definition or repetition is added to the extraction table. Quote the same settings. The data source can be local memory, database table, internal module, external system, etc., at the time of rating, according to the set, the dynamic call corresponding to the code is used to obtain the data, so that the price is obtained. The data can be distributed with the management of various products, resources, etc., which greatly reduces the restrictions on the use of the pricing system, and thus is more practical.

The detailed description of the preferred embodiments of the present invention is intended to be limited to the scope of the invention, and is not intended to limit the scope of the invention. The patent scope of this case.

In summary, this case is not only innovative in terms of space type, but also can enhance the above-mentioned multiple functions compared with the customary items. It should fully meet the statutory invention patent requirements of novelty and progressiveness, and apply for it according to law. This invention patent application, in order to invent invention, to the sense of virtue.

1100‧‧‧Control Module

1200‧‧‧Data Conversion Module

1300‧‧‧ rating module

1400‧‧ Discount Module

1500‧‧‧ data capture module

1600‧‧‧Rules Engine

2000‧‧‧External system

5000‧‧‧Database

5100‧‧‧ Related rating list

5200‧‧‧Information Acquisition Form

5300‧‧‧ Mutual exclusion setting table

5400‧‧‧Dependency setting table

S601~S609‧‧‧ Process steps

S701~S708‧‧‧Process steps

S801~S808‧‧‧ Process steps

S901~S906‧‧‧ Process steps

S1001~S1010‧‧‧ Process steps

Figure 1 is a conceptual diagram of the rating of the new application for the rating service.

Figure 2 is a conceptual diagram of the rating of the trusted inquiry rating service.

Figure 3 is a block diagram of a dynamically set pricing operation system of the present invention.

Figure 4 is a block diagram of a dynamic set pricing operation system of the present invention.

FIG. 5 is a flow chart of a control module of a dynamically set batch operation method according to the present invention.

FIG. 6 is a flow chart of a data conversion module of a dynamically set batch price operation method according to the present invention.

Figure 7 is a flow chart of the rating module of the dynamically set batch price operation method of the present invention.

FIG. 8 is a flow chart of a discount module of a dynamically set batch operation method according to the present invention.

FIG. 9 is a flow chart of a data acquisition module of a dynamically set batch price operation method according to the present invention.

FIG. 10 is a flow chart of a rule engine of a dynamically set batch operation method according to the present invention.

Figure 11 is a flow chart showing the actual operation of a dynamically set batch operation system of the present invention.

The technical features, contents, and advantages of the present invention, as well as the advantages thereof, can be understood by the reviewing committee, and the present invention will be described in detail with reference to the accompanying drawings. The subject matter is only for the purpose of illustration and description. It is not intended to be a true proportion and precise configuration after the implementation of the present invention. Therefore, the scope and configuration relationship of the attached drawings should not be interpreted or limited. First described.

Please refer to FIG. 3 , which is a structural diagram of a dynamic setting pricing operation system according to the present invention. Please refer to FIG. 4 , which is a structural diagram of a dynamic setting pricing operation system of the present invention, which includes: a control module. 1100. The data conversion module 1200, the rating module 1300, the discount module 1400, the data capturing module 1500, and the rules engine 1600. After receiving the order data from the external system 2000, the control module 1100 converts the data to the unified rating data content by the data conversion module 1200, and then correspondingly accepts the rating content corresponding to the relevant rating service. The rating service is distributed to the host having the dynamic setting of the pricing operation system of the present invention through the JMS (Java Message Service) asynchronous mechanism for batch processing. After the batch price control module 1100 of the batch setting operation system of the dynamic setting of any host receives the rating service, the batch price service to be processed is sent to the rating module 1300 for pricing, and then sent to the discount module. The 1400 performs a discount calculation and writes the fee data generated by each rating service into the database 5000. Finally, the host that assigns the rating service to the database 5000 obtains the rating result generated by the host of each rating service, and then the data conversion module 1200 converts the final rating data into an output interface format. . The rating rules and discount rules required by the rating module 1300 and the discount module 1400 are provided by the rules engine 1600. The rule engine 1600 obtains the rule list data through the related batch price setting table 5100 stored in the database 5000, and determines the rule list data. The data capture module 1500 is responsible for obtaining the content of the batch data required for each module in the batch price process from each source and returning it to each module through the definition of the data capture table 5200.

Please refer to FIG. 5 , which is a flow chart of a control module 1100 for dynamically setting the price operation method according to the present invention. The steps are as follows: S501: receiving the order acceptance data sent by the external system 2000, determining that the processing flow is an order processing flow or a batch processing flow; S502: if it is an order processing flow, the call data conversion module 1200 performs input data conversion to obtain the batch price data; S503: Then obtaining the corresponding batch price service according to the converted batch price data; S504: assigning the rating service to each batch price host; S505: after the batch price host completes the approval price, obtaining all the batch prices in the database 5000 The result is performed and the result is summarized; S506: if there is an abnormality in the processing of the batch host, the abnormal redo is performed; S507: the call data conversion module 1200 converts the data; S508: finally sends the rating result; if it is the batch processing flow Then, the step of S509 is performed: S509: receiving the rating service sent by the dispatching host, obtaining the rating object according to the rating service; S510: obtaining the fee of the rating object, S511: and calling the rating module 1300 for the rating calculation S512: the discount module 1400 performs discount processing; and S513: writes the batch result to the database 5000.

Please refer to FIG. 6 , which is a flow chart of a data conversion module 1200 for dynamically setting the price operation method of the present invention. The steps are as follows: S601: When receiving the data transmitted by the control module 1100, the data type is first determined. If it is the order processing flow, the step of S602 is performed; S602: accepting the order data; S603: judging the source of the data; S604: converting the input order data; S605: converting the acceptance order data into a batch interface format of the dynamically set batch price operation system; S606: receiving the rating data if the batch processing process is performed; S607: the source of the batch judgment data, S608: and the output data conversion; and S609: the format of the batch data into the interface of the external system.

Please refer to FIG. 7 , which is a flow chart of a batch pricing module 1300 of a dynamically set batch price operation method according to the present invention. The steps are as follows: S701 : According to the batch price data sent by the control module 1100 in the relevant batch price setting table 5100 Obtaining a list of the rating rules and performing the rating; S702: the calling rule engine 1600 checks and processes the list of the rating rules; S703: obtains the rating rule of the confirmation; and S704: obtains the detailed setting information of the rating rules of the confirmation; S705: determining the rating type; S706: the call data capturing module 1500 obtains the required data of the rating; S707: performing the rating operation; and S708: transmitting the calculation result to the control module 1100.

Please refer to FIG. 8 , which is a flow chart of a discount module 1400 for dynamically setting the price operation method according to the present invention. The steps are as follows: S801: According to the discount data sent by the control module 1100, the discount is obtained in the relevant price setting table 5100. a list of rules for discount calculations; S802: The call rule engine 1600 performs condition checking and processing on the discount rule list; S803: after obtaining the confirmed discount rule; S804: re-acquiring the detailed setting information of the confirmed discount rule; S805: determining the discount type; S806: calling the data capture The module 1500 obtains the information required for the discount; S807: performs a discount operation; and S808: transmits the calculation result back to the control module 1100.

Please refer to FIG. 9 , which is a flow chart of the data capture module 1500 of the dynamically set batch price operation method according to the present invention. The steps are as follows: S901: check the confirmation data acquisition rule according to the sent data; S902: reference correlation The rating setting table 5100 obtains relevant setting information of the capturing rule; S903: judges the source of the data; S904: obtains relevant input parameter information; S905: to each data source (for example: database 5000, other internal modules, external system interface) Etc.) to perform data capture; and S906: to return information retrieved.

Please refer to FIG. 10 , which is a flow chart of a rule engine 1600 for dynamically setting the price operation method of the present invention. The steps are as follows: S1001: receiving a list of rules sent by the rating module 1300 or the discount module 1400; S1002: The rules in the rule list are judged one by one according to the order in which they are set; S1003: obtain all definition information of the rules; S1004: obtain the rule condition judgment data again; S1005: performing condition calculation judgment; S1006: judging whether the rule meets the condition; S1007: if the rule meets the condition, refer to the mutual exclusion setting table 5300, and remove the mutually exclusive preferential discount setting; S1008: if the rule does not meet the condition, refer to the dependent setting Table 5400, the dependent preferential discount setting is removed; S1009: checking whether there is an uninterrupted rule, if there is an undetermined rule, repeating the steps of S1002 above; and S1010: if there is no undetermined condition, outputting the qualified condition List of rules.

Please refer to FIG. 11 , which is a flow chart of the actual operation of the dynamically set batch price operation system according to the present invention. The steps are as follows: the rating system sends the external system to the external system through the control module 1100 to receive the acceptance data of the new application + purchase machine. The data conversion module 1200 performs conversion to obtain batch input information (for example, application items, application types, customer information, etc.) of a unified specification. Then, the control module 1100 refers to the relevant price setting table 5100 to process the converted batch price data, corresponding to the "new application rating service" and the "purchase rating service". At this time, the control module applies the two kinds of pricing. The service uses the JMS asynchronous mechanism to send the service object to the message queue of the other two batch hosts, waiting for the price to be processed.

The rating host receiving the rating service starts the rating procedure by triggering the message event, and the control modules 1100 of the two hosts respectively read the rating service in the queue, and obtain the rating service by referring to the relevant rating setting table 5100. The assigned items and their expense items, for example, the new application service will obtain the application items, the door number and the discounted items, the application items will include the deposit, the door number will include the selection fee, and the preferential items will include the prepayment. Cost, while the purchase service is taken The phone object, the phone object contains the purchase cost. Finally, the result is passed to the rating module 1200.

The rating module 1300 transmits the expense item data to the rule engine 1600, and the rule engine 1600 obtains the list of the rating rules set by each expense item one by one, and performs conditional judgment screening, and finally returns the applicable rule to the rating module. 1300. The rating module 1300 then performs the pricing process according to the filtered rules with reference to the relevant setting table. The following uses Tables 1 and 2 as an example of setting the margin fee:

Assume that the margin rule code obtained by the margin is 01, the pricing method is a fixed price, and the amount is obtained by the data acquisition code 01. The rating module 1300 calls the data acquisition module 1500 to pass the code, and the data acquisition module 1500 Refer to the data sheet B of Table 5100 and the data sheet B of the database A to obtain the margin amount of the field C. In this manner, the rating module 1300 transmits the calculated result of each expense item back to the control module 1100.

The control module 1100 then transmits the data to the discount module 1400 for processing the discount. The discount module 1400 call rules engine 1600 obtains discount settings applicable to each expense item. The following Tables 3 to 6 are used as examples of discount prepaid fees and purchase fee discounts:

It is assumed that the discount of the prepaid fee is set to the discount rule 01, and the discount setting order of the purchase fee is the discount rule 02, the discount rule 03, and the rule 02 and the rule 03 are set to be mutually exclusive. The rule engine 1600 first obtains the discount condition 01 of the rule 01, and performs the judgment process with reference to the following condition setting table. The data capture module 1500 uses the reflection technology to dynamically call the function B of the internal module to obtain the judgment of the quality customer. Assuming that the function returns a Boolean value TRUE, the rule engine 1600 refers to the conditional judgment instruction EQU to compare with the item content, and finally determines that the discount rule 01 is applied. Similarly, the discount on the purchase cost is also processed in this way, but the expense item has two preferential discount settings. If the condition of the discount rule 02 is established, since the discount rule 02 takes precedence over the discount rule 03 and the two are mutually exclusive, Then the rules engine 1600 automatically removes the discount rule 03 from the list without further judgment. The discount module 1400 obtains the discount rule setting of each expense item in this manner, and then calculates the amount of each expense item discount by referring to the discount calculation method set by the above setting table, and returns the result to the control module 1100. The control module 1100 finally writes the cost data for each expense item into the database.

The rating host of the dispatching service reads the processing result of each batch price service through the control module 1100 to the database, and if it has been processed, it is merged into the final batch price result information, and then the call data conversion module 1200 is converted into External output interface. If there is a batch service that has not been processed for the timeout, an exception handling procedure is performed to re-price the rating service.

The above-mentioned embodiments are intended to be illustrative only and not to limit the scope of the present invention. Any equivalent modifications and changes thereto are not included in the spirit and scope of the present invention. In the scope.

1100‧‧‧Control Module

1200‧‧‧Data Conversion Module

1300‧‧‧ rating module

1400‧‧ Discount Module

1500‧‧‧ data capture module

1600‧‧‧Rules Engine

2000‧‧‧External system

5000‧‧‧Database

5100‧‧‧ Related rating list

5200‧‧‧Information Acquisition Form

5300‧‧‧ Mutual exclusion setting table

5400‧‧‧Dependency setting table

Claims (9)

A dynamically set-up operating system includes: a control module that manages the batch process and job assignment and interfaces with an external system; and a data conversion module that accepts the control module from an external system Converting into the input interface of the dynamically set-up operating system, and converting the output interface of the dynamically set-up operating system into an external system; a batch of price modules, the control module being accepted from an external system Data, according to the rating rule, output the rating result to the control module; a discount module, the control module receives the data from the external system, and outputs the discount result to the control module according to the discount rule; The group is outputted to the rating module through the data extraction table, and the corresponding discount rule is outputted to the discount module; and a rule engine is used to manage the dynamic setting of the rating operation system. Reduce the rules scattered throughout the system and the settings table, and provide the judgment of the rule candidate list, output the qualifying price rules and discount rules. For example, the dynamic setting of the rating operation system described in claim 1 includes a database, which stores a relevant rating setting table, a data acquisition table, a reference mutual exclusion setting table, and a reference dependent setting. The table is sent to the data conversion module, the rating module, the discount module, the data capture module, and the rules engine. A dynamic setting method for operating a batch price, the method comprising: after a control module receives data from an external system, a data conversion module converts the data into a batch of price data, and sends the batch price data to a batch price Module and a discount module; The rating module appends the rating data and the rating rules provided by a rule engine; the discount module performs a discount calculation on the rating data and the discount rules provided by the rules engine; After the reorganization, the final rating data is converted into the output interface format by a data conversion module; a rule engine provides the rating module and the discount or discount rules required by the discount module when processing Rule list data, the rule condition judgment and the rule setting relationship are processed for the list; a data capture module is responsible for collecting the content of the batch data required by each module in the batch process, and returning the data to the a data conversion module, the rating module, the discount module and the rule engine; and storing a relevant rating setting table, a data retrieval table, a reference mutual exclusion setting table, and a reference dependent setting table through a database, and sending The data conversion module, the rating module, the discount module, the data retrieval module and the rule engine are included. For example, the method for operating the batch price of the dynamic setting described in claim 3, wherein the control module further comprises the steps of: receiving an order acceptance data sent by an external system, and determining that the processing flow is an order processing flow or a rating. Processing flow; if it is the order processing flow, call the data conversion module to input data conversion, obtain the rating data; obtain the corresponding rating service according to the converted price data; assign the rating service to other dynamic settings The host of the operating system of the rating; After the host of the batch-operated system with dynamic setting completes the rating, all the results of the rating are obtained from the database and the results are aggregated; if the host with the dynamically set-up operating system is abnormal, the abnormality is performed. Redo; call the data conversion module to convert the data; send the batch price result; if it is the batch price processing process, obtain the batch price item according to the rating service; obtain the cost of the approval item; call the batch price module The group performs a lot calculation; the discount module performs discount processing; and the rating result is written into the database. For example, the method for operating the batch price of the dynamic setting described in claim 3, wherein the data conversion module further comprises the following steps: when receiving the data transmitted by the control module, first performing data type judgment, if The order processing process accepts the order data; judges the source of the data; converts the input order data; converts the acceptance order data into a batch interface format of the dynamically set batch operation system; and receives the rating data if it is the batch processing process; The rating determines the source of the data and converts the output data; and converts the rating data into an interface format of the external system. For example, the method for operating the batch price of the dynamic setting described in item 3 of the patent application scope, wherein the batch price model The group further includes the following steps: according to the batch price data sent by the control module, obtaining a list of the rating rules in the relevant batch price setting table, and performing the rating; calling the rule engine to check and process the list of the rating rules; Confirmation of the rating rules; obtain the detailed information of the approval of the approval rules; determine the type of the rating; call the data acquisition module to obtain the required information; perform the rating operation; and return the calculation results to the Control module. For example, the method for operating the batch price of the dynamic setting described in claim 3, wherein the discount module further comprises the following steps: obtaining the discount rule list in the relevant price setting table according to the discount data sent by the control module. , performing a discount calculation; calling the rule engine to perform condition checking and processing on the discount rule list; obtaining the confirmed discount rule; obtaining the detailed information of the confirmed discount rule; determining the discount type; calling the data capture module to obtain the discount Required data; perform discount calculations; and pass back the calculation results to the control module. For example, the method for operating the batch price of the dynamic setting described in item 3 of the patent application, wherein the data is The module is further included as follows: according to the sent data, check the confirmation data acquisition rules; refer to the relevant price setting table to obtain the relevant setting information of the retrieval rules; determine the source of the data; obtain relevant input parameter information; Sources of data are retrieved; and information retrieved from the data is returned. For example, the method for operating the rating of the dynamic setting described in claim 3, wherein the rule engine further comprises the steps of: receiving the list of rules sent by the rating module or the discount module; The rules are judged one by one according to the order in which they are set; all the definition information of the rules is obtained; the rule condition judgment data is obtained; the operation judgment of the condition is performed; whether the rule meets the condition; if the rule meets the condition, the mutual exclusion setting table is referred to If the rules do not meet the conditions, refer to the dependent setting table to remove the discounted discount settings; check whether there are unresolved rules. If there are undetermined rules, repeat the above rules according to their settings. The order is judged one by one; and if there are no undetermined conditions, a list of rules that meet the conditions is output.