WO2018233305A1 - Procédé et dispositif de configuration de règle, serveur et support de stockage lisible par ordinateur - Google Patents

Procédé et dispositif de configuration de règle, serveur et support de stockage lisible par ordinateur Download PDF

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Publication number
WO2018233305A1
WO2018233305A1 PCT/CN2018/076383 CN2018076383W WO2018233305A1 WO 2018233305 A1 WO2018233305 A1 WO 2018233305A1 CN 2018076383 W CN2018076383 W CN 2018076383W WO 2018233305 A1 WO2018233305 A1 WO 2018233305A1
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Prior art keywords
rule
report data
factor
channel
rule factor
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PCT/CN2018/076383
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English (en)
Chinese (zh)
Inventor
蒋增源
刘金萍
黄建虎
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平安科技（深圳）有限公司
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Publication of WO2018233305A1 publication Critical patent/WO2018233305A1/fr

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/08—Insurance

Definitions

  • the present application relates to the field of data processing technologies, and in particular, to a rule configuration method, apparatus, server, and computer readable storage medium.
  • the main purpose of the present application is to provide a rule configuration method, apparatus, server, and computer readable storage medium, which are intended to solve the existing rule configuration manner, and not only consume a large amount of material resources, but also cause technical problems of poor system stability. .
  • the present application provides a rule configuration method, which is applied to a server, where the rule configuration method includes:
  • the rule factor for setting the threshold is stored in the rule table corresponding to the database of the server, and the rule configuration is implemented.
  • the present application further provides a rule configuration apparatus, where the rule configuration apparatus includes:
  • the parsing module is configured to parse the front-end page associated with the server by using a preset parsing tool to parse the front-end page into a front-end page of a preset format;
  • Determining a display module configured to determine a template to be configured according to a selection operation in a front end page of the preset format, and display the selected template
  • a receiving module configured to receive a rule factor based on the template input, and receive a threshold set based on the rule factor
  • a storage module configured to store a rule factor for setting a threshold value into a rule table corresponding to a database of the server, to implement rule configuration.
  • the present application further provides a server including a memory, a processor, and a rule configuration program stored on the memory and operable on the processor, the rule configuration program being The processor executes the steps of the rule configuration method as described above when executed.
  • the present application further provides a computer readable storage medium having a rule configuration program stored thereon, the rule configuration program being executed by a processor to implement the rules as described above The steps to configure the method.
  • the technical solution proposed by the present application first parses the front-end page associated with the server by using a preset parsing tool, and parses the front-end page into a front-end page of a preset format, and then determines the front-end page in the preset format based on the selection operation.
  • a template to be configured by the rule and displaying the selected template, receiving a rule factor based on the template input, and receiving a threshold set based on the rule factor, and finally storing a rule factor for setting the threshold to the server
  • the rule configuration is implemented.
  • the rule factors can be freely matched in the front-end page. The whole process does not need to write a script, and can be flexibly configured, which makes the configuration of the rules more convenient and intelligent, saves manpower and material resources, and prevents system stability caused by frequent changes of the version.
  • FIG. 1 is a schematic structural diagram of a server in a hardware operating environment according to an embodiment of the present application
  • FIG. 2 is a schematic flowchart of a first embodiment of a rule configuration method according to the present application
  • FIG. 3 is a schematic flowchart of a second embodiment of a rule configuration method according to the present application.
  • FIG. 4 is a schematic flowchart of a third embodiment of a rule configuration method according to the present application.
  • FIG. 5 is a schematic diagram showing the refinement process of step S72 in FIG. 4;
  • FIG. 6 is a schematic flowchart of a fourth embodiment of a rule configuration method according to the present application.
  • FIG. 1 is a schematic structural diagram of a server in a hardware operating environment according to an embodiment of the present application.
  • the server of the embodiment of the present application includes, but is not limited to, a Java server, a one-way server, a multi-way server, and a distributed server.
  • the server may include a processor 1001, such as a CPU, a communication bus 1002, a network interface 1003, and a memory 1004.
  • the communication bus 1002 is used to implement connection communication between these components.
  • the network interface 1003 may optionally include a standard wired interface (for connecting to a wired network), a wireless interface (such as a WI-FI interface, a Bluetooth interface, an infrared interface, a probe interface, a 3G/4G/5G network communication interface, etc.) Connect to a wireless network).
  • the memory 1004 may be a high speed RAM memory or a stable memory (non-volatile) Memory), such as disk storage.
  • the memory 1004 can also optionally be a storage device independent of the aforementioned processor 1001.
  • server structure illustrated in FIG. 1 does not constitute a limitation to the server, and may include more or fewer components than those illustrated, or some components may be combined, or different component arrangements.
  • an operating system, a network communication module, and a rule configuration program may be included in the memory 1004 as a computer readable storage medium.
  • the operating system is a program for managing and controlling server and software resources, and supports operation of a network communication module, a rule configuration program, and other programs or software; the network communication module is used to manage and control the network interface 1003.
  • the network interface 1003 is mainly used to connect a front-end page to perform data communication with the front-end page; the server invokes a rule configuration program stored in the memory 1004 by the processor 1001 to perform the above-described The steps of the rule configuration method.
  • FIG. 2 is a schematic flowchart of a first embodiment of a rule configuration method according to the present application.
  • the rule configuration method is applied to a server, and the method includes:
  • the front-end page associated with the server is parsed by the preset parsing tool to parse the front-end page into a front-end page of a preset format; in the front-end page of the preset format, the template to be configured by the rule is determined based on the selecting operation, and displayed a selected template; receiving a rule factor based on the template input, and receiving a threshold set based on the rule factor; storing a rule factor for setting a threshold to a rule table corresponding to a database of the server.
  • the server is preferably the server described in FIG.
  • Step S10 Parsing the front-end page associated with the server by using a preset parsing tool to parse the front-end page into a front-end page of a preset format;
  • the server first parses the associated front-end page by using a preset parsing tool, and the preset parsing tool may be a JS (JavaScript, a literal translation scripting language) parsing tool, and the front-end page is optional.
  • the server parses the front-end page through the parsing tool, so that the front-end page displays the front-end page in the preset format according to the performance requirement of the business requirement.
  • the manner in which the server parses the front-end page by using the parsing tool includes: first extracting attribute information in the H5 page by using the JS parsing tool, and then calling the template engine to input the attribute information into the template engine. Template in to generate a front-end page in a preset format.
  • the server first extracts the attribute information in the H5 page through the JS parsing tool, and the attribute information includes the organization information, the enterprise nature information, the risk reason information, etc., after obtaining the attribute information, the office
  • the attribute information is input into the template in the template engine, wherein the organization information is optionally input in the front end page, so the corresponding preset format may be an input box, and the enterprise property information may be divided into two categories, an individual or a partnership. Therefore, the corresponding preset format is an optional drop-down box or a multi-selection box, and the risk reason information can be selected in the system, so the corresponding preset format can be selected as a multi-select box.
  • the front end page containing the above format will eventually be generated.
  • the preset format in this embodiment includes, but is not limited to, a radio button, a multi-selection box, a drop-down box, an input box, and the like.
  • the specific format is set according to actual requirements, and the front page is displayed through the format. The user can quickly enter the corresponding rule factor.
  • Step S20 Determine a template to be configured according to the selection operation in the front page of the preset format, and display the selected template.
  • the user may input a corresponding rule factor in the parsed front-end page.
  • the rule factor includes multiple feature parameters, such as the report time and the time before the risk time. Difference.
  • the template to be configured by the rule may be selected in the parsed front page.
  • the front page is provided.
  • the user can first select a corresponding template in the front page to input a rule factor in the selected template.
  • the server can display the template selected by the user in the front-end page.
  • Step S30 receiving a rule factor based on the template input, and receiving a threshold set based on the rule factor; after the server displays the template selected by the user in the front page, monitoring whether the user inputs a rule factor in the template,
  • the template of the server further displays a threshold setting window of the rule factor, so that the user sets the threshold of the rule factor in the threshold setting window, which needs to be explained.
  • the threshold is set by the rule factor of the wind control mode, and is used to indicate that the total score of the rule factor of the wind control mode reaches the threshold, and the risk channel is triggered; otherwise, the risk channel is not triggered, and the specific content is implemented below. Details are given in the examples.
  • step S40 the rule factor for setting the threshold is stored in the rule table corresponding to the database of the server, and the rule configuration is implemented.
  • the rule factor set with the threshold is stored in the rule table of the database.
  • the database is located in the server and is used to place a rule table storing rule factors.
  • the front-end page associated with the server is parsed by using a preset parsing tool to parse the front-end page into a front-end page of a preset format, and then based on the selection operation in the front-end page of the preset format.
  • Determining a template to be configured by the rule displaying the selected template, receiving a rule factor based on the template input, and receiving a threshold set based on the rule factor, and finally storing a rule factor for setting the threshold to the server
  • the rule configuration is implemented.
  • the rule factors can be freely matched in the front-end page. The whole process does not need to write a script, and can be flexibly configured, which makes the configuration of the rules more convenient and intelligent, saves manpower and material resources, and prevents system stability caused by frequent changes of the version.
  • the existing rule factor configuration process is written in the script file, without pre-setting, which increases the risk of running the rule, and has an impact on the stability of the system and existing rules of other versions.
  • the template is specified, and the rule can be configured in the front-end page.
  • the corresponding template is selected according to the actual needs and the corresponding rule factor is input for configuration, and the pre-configuration of the rule is supported.
  • you want to change the rules in the future you only need to change the rules in the database.
  • the threshold of the rule factor is set to realize the triggering of the wind control channel, and it is not necessary to use all code development to improve the development efficiency and shorten the development time.
  • the second embodiment of the rule configuration method is different from the first embodiment of the rule configuration method in that, after referring to FIG. 3, after the step S40, the method further includes:
  • Step S50 when receiving the report data input by the terminal based on the report page, storing the received report data in the report table in the database; step S60, calling the report data stored based on the report table in the database a rule factor of the rule table; step S70, analyzing the report data by using the rule factor that is invoked to determine processing logic corresponding to the report data.
  • the user can log in to the report page through the terminal, and then input the report data on the report page.
  • the report data includes policy data, case data, target data, and personnel. data.
  • the report page is a page for data transmission between the server and the terminal, and the terminal can transmit the report data to the server through the report page.
  • the server When the server receives the report data input by the terminal based on the report page, the server first stores the received report data in the report table of the database.
  • the report table may be pre-established by the server and stored in the database for subsequent storage of the report data; or may be established and stored in the database by the server when receiving the report data.
  • the server in order to timely process the report data, it is preferred that the server establishes a report form in advance, and when the report data is received subsequently, the report data is directly stored in the report form.
  • the rule factor in the rule table can be invoked in the database based on the report data in the report table.
  • the rule factor includes two types: a rule factor of the wind control mode and a rule factor of the channel mode. It should be noted that the report table and the rule table are stored in the same database, so that when the data is called, it can be directly called in the database, thereby improving the efficiency of data calling.
  • the server analyzes the report data by using the rule factor that is invoked to determine processing logic corresponding to the report data, where the processing logic refers to a corresponding operation flow under certain conditions.
  • the manner in which the server analyzes the report data by using the rule factor that is invoked to determine processing logic corresponding to the report data includes: the server extracts a preset function expression, where the expression is springEL An expression, and then analyzing the report data based on the function expression, in conjunction with the invoked rule factor, to determine processing logic corresponding to the report data, for example, after calling the rule factor, determining the rule according to the identification information of the rule factor a type of a factor, wherein the rule factor includes a rule factor of the wind control mode and a rule factor of the channel mode.
  • the rule factor is determined according to the identification information as a rule factor of the wind control mode
  • the springEL expression is extracted according to the springEL expression. And comparing the feature parameter in the report data with a preset preset condition in the wind control mode rule factor, and if the feature parameter in the report data satisfies the preset condition, adding the report data A risk process to determine the processing logic corresponding to the reported data.
  • the report data input by the terminal is analyzed based on the rule factor, and the analysis of the report data is realized.
  • the third embodiment of the rule configuration method differs from the second embodiment of the rule configuration method in that, referring to FIG. 4, the step S70 includes: step S71, when the rule factor is a rule factor of the wind control mode, the report is reported. The feature parameter in the data is compared with a corresponding preset condition in the rule factor; and in step S72, when the feature parameter in the report data satisfies a corresponding preset condition in the rule factor, adding a risk process to the report data .
  • the rule factor after calling the rule factor, determining the type of the rule factor according to the identification information of the rule factor, where the rule factor includes a rule factor of the wind control mode and a rule factor of the channel mode, and the wind control mode Refers to the risk control mode.
  • the rule factor is the rule factor of the wind control mode
  • the feature parameters in the report data are compared with the preset conditions corresponding to the rule factor.
  • the feature parameters of the report data are Including, but not limited to, the difference between the reporting time and the time of the risk, the following is a detailed description of the difference: when the characteristic parameter is the difference between the reporting time and the time of the risk, the difference is compared with the The preset conditions corresponding to the rule factors are compared to determine whether the difference meets the preset condition, and if the difference satisfies the preset condition, a risk process is added to the report data.
  • the rule factor of the wind control mode is set with a duration between the report time and the risk time, if the duration is set to 7 days, and the preset condition is set to be greater than 7 days. If the difference between the report time and the risk time in the report data is 9 days, the rule factor corresponding to the wind control mode is satisfied.
  • the server may add a risk process to the report data for subsequent analysis based on the added risk process.
  • the step S72 includes: Step S721, when the feature parameter in the report data satisfies the corresponding preset condition in the rule factor, the rule is The total score of the factor plus the default value;
  • Step S722 comparing the accumulated total score with a threshold corresponding to the rule factor
  • Step S723 if the accumulated total score is greater than the threshold, a risk process is added to the report data.
  • the difference satisfies the preset condition, it indicates that the report data has another feature parameter that satisfies the rule factor, and at this time, the current total score of the rule factor is determined, and then the rule factor is The preset value is added to the total score, and the preset value is preferably 1, and the default value is 1 below.
  • the total score of the rule factor is the total score of the comparison between the report data and the rule factor. If the report data is compared with the rule factor for the first time, the rule is not met before.
  • the characteristic parameter of the factor it can be known that the current total score of the rule factor is 0; if the current characteristic parameter of the report data satisfies the rule factor, then 1 point can be added after the comparison; if the present report data and the rule factor ratio Before, there are already three characteristic parameters that satisfy the rule factor. Then, the total score of the rule factor is 3 points. If the feature satisfies the preset condition, the total score is 4 points.
  • the total score is compared with a threshold set by the rule factor in advance, and the threshold is a score set by the user when the rule factor is set on the front end page.
  • the threshold is used to distinguish whether the report data needs to trigger the wind control process. If the accumulated total score is greater than the threshold, it indicates that there are many doubts in the report data, and the wind control process is triggered at this time. When the value is less than or equal to the threshold, it means that there is no doubt in the report data. At this time, the normal process can be taken, such as taking the normal payment process.
  • step of adding a risk process to the report data includes: step A, determining a level of the risk process; and step B, adding a determined level risk process to the report data.
  • the level of the risk process is determined.
  • the level of the risk process is not limited, and may include three levels, or may be set to 4 according to actual needs. There are 5 levels, each of which corresponds to a different risk process.
  • the first level indicates that the report data is subjected to a manual review
  • the second level indicates that the report data is subjected to two levels of manual review
  • the third level indicates that two levels of manual review are performed, and the verification is performed after the review. Then, after determining the level of the risk process, a risk process with a determined level can be added to the report data, and different processing logics for the report data distribution are realized, and the accuracy of the processing logic of the report data is improved.
  • the server when the feature parameters and the rule factors in the report data are compared, they are aligned one by one in order, that is, when the rule factor is the rule factor of the wind control mode, the server will report the data.
  • Each of the characteristic parameters and each of the rule factors are compared in order, and the total score is accumulated by subsequent comparison results.
  • the fourth embodiment of the rule configuration method differs from the second embodiment of the rule configuration method in that, referring to FIG. 6, the step S70 further includes: step S73, when the rule factor is a rule factor of the channel mode, the report data is The feature parameter is compared with each feature parameter of the rule factor to determine a channel for matching the report data; step S74, loading the determined channel; and step S75, adding a service flow corresponding to the channel to the report data.
  • the feature parameters in the report data are compared with each feature parameter in the rule factor to determine a channel in which the report data matches.
  • the comparison method here is different from the comparison mode of the wind control mode. The comparison here is no longer to compare one by one in order, but at the same time, various characteristic parameters and rules of the report data are simultaneously The feature parameters in the factor are compared to determine whether each feature of the report data satisfies each feature of the rule factor at the same time.
  • the report data can be determined to match. aisle. If any feature parameter in the report data does not satisfy the feature parameter of the rule factor, another channel is obtained.
  • the channel includes: a standard claim channel, a fast claim channel, a risk channel, and the like, each channel corresponding to a service flow, and after determining the channel corresponding to the report data, the report may be based on the determined channel. The data adds the business process corresponding to the channel.
  • step of “determining the channel for matching the report data” includes: step C, determining whether there is a channel with the highest priority when the matched channel includes multiple channels; and step D, if there is the highest priority Channel, the channel with the highest priority is used as the channel matching the report data; in step E, if there is no channel with the highest priority, the channel with the highest matching rate with the reported data is determined, and the matching rate is the highest.
  • the channel serves as a channel for matching the reported data.
  • the matched channel when the matched channel includes multiple channels, it is determined whether there is a channel with the highest priority, and the highest priority of the channel is set by the server in advance, and when the channel with the highest priority is detected, the priority is preferred.
  • the highest channel is used as the channel for matching the report data. If the channel with the highest priority is not detected, the channel with the highest matching rate with the report data is determined, and the channel with the highest matching rate is matched as the report data.
  • Channel when the channel includes multiple channels, the channel is selected in different manners, which improves the flexibility of channel selection.
  • the fifth embodiment of the rule configuration method is different from the first to fourth embodiments of the rule configuration method in that the rule configuration method includes: establishing a monitoring model to monitor the modification record of the rule factor.
  • the server may establish a monitoring model, so that when the rule factor is modified, the modified record is saved, the record execution and the monitoring of the rule are implemented, and the effective action rate of each rule factor can be evaluated through the rule execution result.
  • the adjustment of the rule factor is supported by data.
  • the invention further provides a rule configuration device.
  • a first embodiment of the rule configuration apparatus of the present invention is proposed.
  • This embodiment provides a rule configuration apparatus, where the method is applied to a server, and the rule configuration apparatus includes: a parsing module, configured to parse a front-end page associated with the server by using a preset parsing tool, to The front end page is parsed into a preset format; the display module is configured to determine a template to be configured according to the selection operation in the front end page of the preset format, and display the selected template; and the receiving module is configured to receive the template based on the template Entering a rule factor, and receiving a threshold value set based on the rule factor; a storage module, configured to store a rule factor for setting a threshold value into a rule table corresponding to a database of the server, to implement rule configuration.
  • a parsing module configured to parse a front-end page associated with the server by using a preset parsing tool, to The front end page is parsed into a preset format
  • the display module is configured to determine a template to be configured according to the selection operation in the front
  • the server is preferably the server described in FIG.
  • the associated front-end page is parsed by using a preset parsing tool, and the preset parsing tool may be a JS (JavaScript, a literal translation scripting language) parsing tool, and the front end page may be selected as The H5 (HTML5) page parses the front-end page by using the parsing tool, so that the front-end page displays the front-end page of the preset format according to the expression of the business requirement.
  • JS JavaScript, a literal translation scripting language
  • the method for parsing the front-end page by using the parsing tool includes: first extracting attribute information in the H5 page by using the JS parsing tool, and then calling the template engine, and inputting the attribute information into the template in the template engine. To generate a front-end page in a preset format.
  • the server first extracts the attribute information in the H5 page through the JS parsing tool, and the attribute information includes the organization information, the enterprise nature information, the risk reason information, etc., after obtaining the attribute information, the office
  • the attribute information is input into the template in the template engine, wherein the organization information is optionally input in the front end page, so the corresponding preset format may be an input box, and the enterprise property information may be divided into two categories, an individual or a partnership. Therefore, the corresponding preset format is an optional drop-down box or a multi-selection box, and the risk reason information can be selected in the system, so the corresponding preset format can be selected as a multi-select box.
  • the front end page containing the above format will eventually be generated.
  • the preset format in this embodiment includes, but is not limited to, a radio button, a multi-selection box, a drop-down box, an input box, and the like.
  • the specific format is set according to actual requirements, and the front page is displayed through the format. The user can quickly enter the corresponding rule factor.
  • the user can input a corresponding rule factor in the parsed front-end page.
  • the rule factor includes multiple feature parameters, such as the difference between the report time and the time of the risk. .
  • the template to be configured by the rule may be selected in the parsed front page.
  • the front page is provided.
  • the user can first select a corresponding template in the front page to input a rule factor in the selected template.
  • the server can display the template selected by the user in the front-end page.
  • the server After the server displays the template selected by the user in the front-end page, it is monitored whether the user inputs a rule factor in the template.
  • the template of the server further displays a rule.
  • the threshold setting window of the factor is set for the user to set the threshold of the rule factor in the threshold setting window.
  • the threshold is a rule factor that is set by the rule factor of the wind control mode, and is used to represent the rule of the wind control mode.
  • the rule factor set with the threshold is stored in the rule table of the database.
  • the database is located in the server and is used to place a rule table storing rule factors.
  • the front-end page associated with the server is parsed by using a preset parsing tool to parse the front-end page into a front-end page of a preset format, and then based on the selection operation in the front-end page of the preset format.
  • Determining a template to be configured by the rule displaying the selected template, receiving a rule factor based on the template input, and receiving a threshold set based on the rule factor, and finally storing a rule factor for setting the threshold to the server
  • the rule configuration is implemented.
  • the rule factors can be freely matched in the front-end page. The whole process does not need to write a script, and can be flexibly configured, which makes the configuration of the rules more convenient and intelligent, saves manpower and material resources, and prevents system stability caused by frequent changes of the version.
  • the existing rule factor configuration process is written in the script file, without pre-setting, which increases the risk of running the rule, and has an impact on the stability of the system and existing rules of other versions.
  • the template is specified, and the rule can be configured in the front-end page.
  • the corresponding template is selected according to the actual needs and the corresponding rule factor is input for configuration, and the pre-configuration of the rule is supported.
  • you want to change the rules in the future you only need to change the rules in the database.
  • the threshold of the rule factor is set to realize the triggering of the wind control channel, and it is not necessary to use all code development to improve the development efficiency and shorten the development time.
  • the second embodiment of the rule configuration device is different from the first embodiment of the rule configuration device in that the storage module is further configured to store the received report data to the terminal when receiving the report data input by the terminal based on the report page.
  • the storage module is further configured to store the received report data to the terminal when receiving the report data input by the terminal based on the report page.
  • the device further includes: an invoking module, configured to invoke a rule factor of the rule table in the database based on the report data stored in the report table; and an analysis module, configured to report the report by using the rule factor The data is analyzed to determine processing logic corresponding to the reported data.
  • the user can log in to the report page through the terminal, and then input the report data on the report page.
  • the report data includes policy data, case data, target data, and personnel. data.
  • the report page is a page for data transmission between the server and the terminal, and the terminal can transmit the report data to the server through the report page.
  • the received report data is first stored in the report table of the database.
  • the report table may be established in advance by the server and stored in the database for subsequent storage of the report data; or may be established and stored in the database when the report data is received.
  • the server in order to timely process the report data, the server preferably creates a report form in advance, and directly stores the report data to the report form when receiving the report data.
  • the rule factor in the rule table can be invoked in the database based on the report data in the report table.
  • the rule factor includes two types: a rule factor of the wind control mode and a rule factor of the channel mode. It should be noted that the report table and the rule table are stored in the same database, so that when the data is called, it can be directly called in the database, thereby improving the efficiency of data calling.
  • the report data is analyzed by the rule factor of the call to determine processing logic corresponding to the report data, where the processing logic refers to a corresponding operation flow under certain conditions.
  • the manner in which the server analyzes the report data by using the rule factor that is invoked to determine processing logic corresponding to the report data includes: the server extracts a preset function expression, where the expression is springEL An expression, and then analyzing the report data based on the function expression, in conjunction with the invoked rule factor, to determine processing logic corresponding to the report data, for example, after calling the rule factor, determining the rule according to the identification information of the rule factor a type of a factor, wherein the rule factor includes a rule factor of the wind control mode and a rule factor of the channel mode.
  • the springEL expression is extracted according to the springEL expression. And comparing the feature parameter in the report data with a preset preset condition in the wind control mode rule factor, and if the feature parameter in the report data satisfies the preset condition, adding the report data A risk process to determine the processing logic corresponding to the reported data.
  • the report data input by the terminal is analyzed based on the rule factor, and the analysis of the report data is realized.
  • a first comparison sub-module configured to compare a feature parameter in the report data with a preset condition in the rule factor when a rule factor is a rule factor of the wind control mode
  • the first adding submodule is configured to add a risk process to the report data when the feature parameter in the reported data satisfies a corresponding preset condition in the rule factor.
  • the rule factor after calling the rule factor, determining the type of the rule factor according to the identification information of the rule factor, where the rule factor includes a rule factor of the wind control mode and a rule factor of the channel mode, and the wind control mode Refers to the risk control mode.
  • the rule factor is the rule factor of the wind control mode
  • the feature parameters in the report data are compared with the preset conditions corresponding to the rule factor.
  • the feature parameters of the report data are Including, but not limited to, the difference between the reporting time and the time of the risk, the following is a detailed description of the difference: when the characteristic parameter is the difference between the reporting time and the time of the risk, the difference is compared with the The preset conditions corresponding to the rule factors are compared to determine whether the difference meets the preset condition, and if the difference satisfies the preset condition, a risk process is added to the report data.
  • the rule factor of the wind control mode is set with a duration between the report time and the risk time, if the duration is set to 7 days, and the preset condition is set to be greater than 7 days. If the difference between the report time and the risk time in the report data is 9 days, the rule factor corresponding to the wind control mode is satisfied.
  • the server may add a risk process to the report data for subsequent analysis based on the added risk process.
  • the first adding sub-module includes:
  • a unit configured to add a total score of the rule factor to a preset value when a feature parameter in the report data satisfies a preset condition in the rule factor;
  • a comparison unit configured to compare the accumulated total score with a threshold corresponding to the rule factor
  • the difference satisfies the preset condition, it indicates that the report data has another feature parameter that satisfies the rule factor, and at this time, the current total score of the rule factor is determined, and then the rule factor is The preset value is added to the total score, and the preset value is preferably 1, and the default value is 1 below.
  • the total score of the rule factor is the total score of the comparison between the report data and the rule factor. If the report data is compared with the rule factor for the first time, the rule is not met before.
  • the characteristic parameter of the factor it can be known that the current total score of the rule factor is 0; if the current characteristic parameter of the report data satisfies the rule factor, then 1 point can be added after the comparison; if the present report data and the rule factor ratio Before, there are already three characteristic parameters that satisfy the rule factor. Then, the total score of the rule factor is 3 points. If the feature satisfies the preset condition, the total score is 4 points.
  • the total score is compared with a threshold set by the rule factor in advance, and the threshold is a score set by the user when the rule factor is set on the front end page.
  • the threshold is used to distinguish whether the report data needs to trigger the wind control process. If the accumulated total score is greater than the threshold, it indicates that there are many doubts in the report data, and the wind control process is triggered at this time. When the value is less than or equal to the threshold, it means that there is no doubt in the report data. At this time, the normal process can be taken, such as taking the normal payment process.
  • the first adding submodule is further configured to: determine a level of the risk process; and add a determined level of risk process to the report data.
  • the level of the risk process is determined.
  • the level of the risk process is not limited, and may include three levels, or may be set to 4 according to actual needs. There are 5 levels, each of which corresponds to a different risk process.
  • the first level indicates that the report data is subjected to a manual review
  • the second level indicates that the report data is subjected to two levels of manual review
  • the third level indicates that two levels of manual review are performed, and the verification is performed after the review. Then, after determining the level of the risk process, a risk process with a determined level can be added to the report data, and different processing logics for the report data distribution are realized, and the accuracy of the processing logic of the report data is improved.
  • the server when the feature parameters and the rule factors in the report data are compared, they are aligned one by one in order, that is, when the rule factor is the rule factor of the wind control mode, the server will report the data.
  • Each of the characteristic parameters and each of the rule factors are compared in order, and the total score is accumulated by subsequent comparison results.
  • a second comparison sub-module configured to compare a feature parameter in the report data with each feature parameter in the rule factor when the rule factor is a rule factor of the channel mode, to determine a channel in which the report data matches;
  • a second adding submodule configured to add a service flow corresponding to the channel to the report data.
  • the feature parameters in the report data are compared with each feature parameter in the rule factor to determine a channel in which the report data matches.
  • the comparison method here is different from the comparison mode of the wind control mode. The comparison here is no longer to compare one by one in order, but at the same time, various characteristic parameters and rules of the report data are simultaneously.
  • the feature parameters in the factor are compared to determine whether each feature of the report data satisfies each feature of the rule factor at the same time. If each feature of the report data satisfies each feature of the rule factor, the report data can be determined to match. aisle. If any feature parameter in the report data does not satisfy the feature parameter of the rule factor, another channel is obtained.
  • the channel includes: a standard claim channel, a fast claim channel, a risk channel, and the like, each channel corresponding to a service flow, and after determining the channel corresponding to the report data, the report may be based on the determined channel.
  • the data adds the business process corresponding to the channel.
  • the second comparison submodule includes:
  • a determining unit configured to determine whether there is a channel with the highest priority when the matched channel includes multiple channels
  • a first processing unit configured to: if there is a channel with the highest priority, use the channel with the highest priority as the channel matched by the report data;
  • the second processing unit is configured to determine, if the channel with the highest priority is not present, the channel with the highest matching rate of the report data, and use the channel with the highest matching rate as the channel for matching the report data.
  • the matched channel when the matched channel includes multiple channels, it is determined whether there is a channel with the highest priority, and the highest priority of the channel is set by the server in advance, and when the channel with the highest priority is detected, the priority is preferred.
  • the highest channel is used as the channel for matching the report data. If the channel with the highest priority is not detected, the channel with the highest matching rate with the report data is determined, and the channel with the highest matching rate is matched as the report data. Channel.
  • the channel when the channel includes multiple channels, the channel is selected in different manners, which improves the flexibility of channel selection.
  • a fifth embodiment of the rule configuration device of the present application is proposed based on the first to fourth embodiments.
  • the fifth embodiment of the rule configuration device differs from the first to fourth embodiments of the rule configuration device in that the rule configuration device further includes: an establishment module for establishing a monitoring model to monitor the modification record of the rule factor .
  • the establishing module may establish a monitoring model, so that when the rule factor is modified, the modified record is saved, the recording and monitoring of the rule execution are realized, and the effective action rate of each rule factor can be evaluated through the rule execution result. Data support for the adjustment of the rule factor.
  • the embodiment of the present application further provides a computer readable storage medium, where the computer readable storage medium stores a rule configuration program, where the rule configuration program is executed by the processor to implement the rule configuration method described above. step.

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Abstract

L'invention concerne un procédé de configuration de règle, un dispositif de configuration de règle, un serveur et un support de stockage lisible par ordinateur. Le procédé comprend : l'analyse par le serveur, au moyen d'un outil d'analyse prédéfini, d'une page d'extrémité avant associée au serveur de façon à analyser la page d'extrémité avant en une page d'extrémité avant ayant un format prédéfini (S10); la détermination, sur la base d'une opération de sélection, dans la page d'extrémité avant ayant le format prédéfini, d'un modèle à soumettre à une configuration de règle, et l'affichage du modèle sélectionné (S20); la réception d'une entrée de facteur de règle sur la base du modèle, et la réception d'un ensemble de seuils sur la base du facteur de règle (S30); et le stockage du facteur de règle pour régler le seuil dans une table de règles correspondant sur une base de données du serveur, réalisant ainsi une configuration de règle (S40). Le facteur de règle décrit peut être librement mis en correspondance dans la page d'extrémité avant. L'ensemble du procédé réalise une configuration flexible sans nécessiter de compilation de script, rendant ainsi la configuration de règle plus commode et intelligente, économisant en termes de main d'œuvre et de ressources matérielles, et empêchant une mauvaise stabilité du système provoquée par des changements fréquents de version.
PCT/CN2018/076383 2017-06-20 2018-02-12 Procédé et dispositif de configuration de règle, serveur et support de stockage lisible par ordinateur WO2018233305A1 (fr)

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