A method, device and storage medium for adjusting regulatory reporting rules

Abstract

The embodiment of the present application provides a method, apparatus, device and storage medium for adjusting regulatory reporting rules. The method includes: receiving adjustment request information and responding to display an adjustment page including a preset rule column and multiple preset rule condition columns on the terminal; obtaining the reporting rule information entered in the preset rule column and responding to display the first rule condition in the corresponding preset rule condition column; obtaining the second rule condition corresponding to the input in the preset rule condition column and displaying it; receiving experiment request information and responding, synchronously executing the experimental rules formed by the rule conditions of the current page with the preset operation rules, obtaining the results and storing them; responding to the preset detection condition trigger, making reporting indicator judgments based on multiple results, and reporting data according to the experimental rules that meet the standards. By adjusting the rule conditions on the adjustment page to form experimental rules and synchronously executing them with the preset operation rules, the time cost of the regulatory reporting rule experiment is reduced and the experimental efficiency is improved.

Description

Technical Field

[0001] The present application relates to the field of financial technology, and in particular to a method, apparatus, device and storage medium for adjusting regulatory reporting rules. Background Art

[0002] Currently, with increased monitoring of financial transaction data, all financial institutions are strictly implementing relevant regulatory reporting requirements and submitting financial transaction data based on their own financial business needs. When a company's financial business changes, the original regulatory reporting rules may not be compatible with the new business model. Therefore, it is necessary to adjust the regulatory reporting rules to match the new business model before the change.

[0003] In related technologies, adjusted regulatory reporting rules require a trial run to prevent omissions and misreporting of financial transaction data. This trial run requires the adjusted regulatory reporting rules to be put into actual use to determine whether actual financial transaction data requires reporting. However, during this process, the previously implemented regulatory reporting rules are not enforced. During this time, financial transaction data generated by currently unchanged financial businesses has not yet been submitted for regulatory reporting and is gradually accumulating. To ensure that these unchanged financial businesses are not affected, the trial run must be repeated multiple times, which consumes a significant amount of experimental time and costs, resulting in low experimental efficiency and impacting subsequent financial businesses. Summary of the Invention

[0004] The main purpose of the embodiments of the present application is to propose a method, device, equipment and storage medium for adjusting regulatory reporting rules, aiming to improve the experimental efficiency of regulatory reporting rules and reduce the experimental time cost.

[0005] To achieve the above objectives, a first aspect of an embodiment of the present application provides a method for adjusting regulatory reporting rules, which is applied to a server and includes:

[0006] receiving adjustment request information from a terminal, and returning page response information according to the adjustment request information, so that the terminal displays an adjustment page including a preset rule column and a plurality of preset rule condition columns according to the page response information;

[0007] Obtaining reporting rule information input in the preset rule column, and returning rule response information according to the reporting rule information, so that a plurality of first rule conditions are correspondingly displayed in a plurality of the preset rule condition columns, wherein the plurality of first rule conditions correspond to one target adjustment rule;

[0008] Obtaining one or more second rule conditions corresponding to the input in one or more preset rule condition fields;

[0009] receiving an experiment request message from the terminal, executing an experiment rule according to the experiment request message to synchronously determine transaction data reporting in accordance with a preset operation rule, obtaining and storing a reporting experiment result, wherein the experiment rule is formed according to a rule condition currently displayed on the adjustment page, and the currently displayed rule condition includes one or more input second rule conditions;

[0010] In response to a preset detection condition trigger, performing a reporting indicator judgment based on the plurality of reported experimental results to obtain an indicator judgment result;

[0011] When the indicator judgment result indicates that the experimental rules meet the reporting standards, the transaction data is reported according to the experimental rules.

[0012] In some possible embodiments of the present application, the reporting rule information includes rule tag information;

[0013] The acquiring of the reporting rule information input in the preset rule column and returning rule response information according to the reporting rule information includes:

[0014] Determining the target adjustment rule from a preset rule pool according to the rule tag information, and obtaining a rule table of the target adjustment rule, wherein the rule table includes a plurality of first rule conditions;

[0015] The rule response information is generated according to a plurality of the first rule conditions.

[0016] In some possible embodiments of the present application, performing reporting indicator judgment based on the multiple reported experimental results to obtain an indicator judgment result includes:

[0017] Obtaining true judgment results corresponding to a plurality of the reported experimental results;

[0018] Calculating transaction data reporting stability based on the plurality of reporting experiment results and the plurality of true judgment results to obtain a reporting stability value corresponding to the experimental rule;

[0019] The indicator judgment result is determined according to the reported stability value and the preset stability threshold.

[0020] In some possible embodiments of the present application, the step of performing transaction data reporting determination in synchronization with preset operating rules, obtaining and storing reporting experimental results, includes:

[0021] In response to receiving the transaction data, performing a transaction data reporting determination according to the preset operating rules, obtaining the true determination result, and storing the result in the first preset table, wherein the true determination result is used to determine whether the transaction data should be reported;

[0022] The transaction data reporting judgment is performed according to the experimental rules to obtain the reporting experimental results, and the reporting experimental results are stored in a second preset table.

[0023] In some possible embodiments of the present application, when the indicator judgment result indicates that the experimental rule meets the reporting standard, after the transaction data is reported according to the experimental rule, the adjustment method further includes:

[0024] The experimental rules are updated to the preset rule pool.

[0025] In some possible embodiments of the present application, the adjustment page further includes a preset time column;

[0026] After determining the reporting indicator based on the plurality of reported experimental results and obtaining the indicator determination result, the adjustment method further includes:

[0027] Obtaining execution time information of the experimental rule and experimental threshold time information entered in the preset time column;

[0028] When the indicator judgment result indicates that the experimental rule does not meet the reporting standard, performing an execution time judgment based on the execution time information and the experimental threshold time information to obtain an execution time judgment result;

[0029] When the execution duration judgment result indicates that the duration corresponding to the execution duration information is greater than or equal to the duration corresponding to the experiment threshold duration information, a final reporting indicator judgment is performed based on the multiple reported experiment results to obtain a final indicator judgment result, and one of the following is performed based on the final indicator judgment result:

[0030] When the final indicator judgment result indicates that the experimental rules meet the reporting standards, the transaction data is reported according to the experimental rules; or

[0031] When the final indicator judgment result indicates that the experimental rule does not meet the reporting standards, the transaction data is reported according to the preset operation rules.

[0032] In some possible embodiments of the present application, before obtaining one or more second rule conditions corresponding to input in one or more preset rule condition fields, the adjustment method includes:

[0033] Obtaining a preset data record table corresponding to the target adjustment rule according to the reporting rule information;

[0034] The second preset table is generated according to the preset data recording table.

[0035] To achieve the above-mentioned objectives, a second aspect of an embodiment of the present application provides a device for adjusting regulatory reporting rules, the device comprising:

[0036] a page response information returning module, configured to receive adjustment request information from a terminal, and return page response information according to the adjustment request information, so that the terminal displays an adjustment page including a preset rule column and a plurality of preset rule condition columns according to the page response information;

[0037] a rule response information returning module, configured to obtain the reporting rule information input in the preset rule column, and return rule response information according to the reporting rule information, so that a plurality of first rule conditions are correspondingly displayed in a plurality of the preset rule condition columns, wherein the plurality of first rule conditions correspond to one target adjustment rule;

[0038] A second rule condition acquisition module, configured to acquire one or more second rule conditions inputted correspondingly in one or more preset rule condition fields;

[0039] a regulatory rule experiment module, configured to receive experiment request information from the terminal, execute experiment rules according to the experiment request information, perform transaction data reporting determination synchronously with preset operation rules, obtain and store reporting experiment results, wherein the experiment rules are formed according to the rule conditions currently displayed on the adjustment page, and the currently displayed rule conditions include one or more of the second rule conditions input;

[0040] An indicator judgment module is configured to respond to a preset detection condition trigger, perform reporting indicator judgment based on the plurality of reported experimental results, and obtain an indicator judgment result;

[0041] The transaction data reporting module is used to report the transaction data according to the experimental rules when the indicator judgment result indicates that the experimental rules meet the reporting standards.

[0042] To achieve the above-mentioned purpose, the third aspect of an embodiment of the present application proposes an electronic device, which includes a memory and a processor, wherein the memory stores a computer program, and the processor implements the method described in the first aspect when executing the computer program.

[0043] To achieve the above-mentioned purpose, the fourth aspect of the embodiments of the present application proposes a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, it implements the method described in the first aspect.

[0044] The present application proposes a method, apparatus, device and storage medium for adjusting regulatory reporting rules, the method comprising: receiving adjustment request information from a terminal, returning page response information according to the adjustment request information, so that the terminal displays an adjustment page including a preset rule column and multiple preset rule condition columns according to the page response information; obtaining reporting rule information input in the preset rule column, returning rule response information according to the reporting rule information, so that multiple first rule conditions are displayed correspondingly in multiple preset rule condition columns, wherein multiple first rule conditions correspond to one target adjustment rule; obtaining one or more second rule conditions input correspondingly in one or more preset rule condition columns , the corresponding second rule condition information is displayed in the corresponding preset rule condition column; the experimental request information from the terminal is received, and the experimental rules are executed according to the experimental request information to perform transaction data reporting judgment in synchronization with the preset operation rules, and the reporting experimental results are obtained and stored, wherein the experimental rules are formed according to the rule conditions currently displayed on the adjustment page, and the currently displayed rule conditions include one or more input second rule conditions; in response to the preset detection condition trigger, the reporting indicator judgment is performed according to the multiple reported experimental results to obtain the indicator judgment result; when the indicator judgment result indicates that the experimental rule meets the reporting standard, the transaction data is reported according to the experimental rule. By adjusting the reporting rule conditions on the adjustment page to form the experimental rules and performing data judgment in synchronization with the preset operation rules, it is possible to test the adjusted reporting rules while reporting data normally through the preset operation rules, thereby reducing the time cost of the regulatory reporting rule experiment; and, since the data for the experiment is real data, the experimental process can effectively avoid the problem of bias in the experimental data, so that the experimental process can more accurately feedback actual usage problems, thereby improving the efficiency of the experiment. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 This is a schematic diagram of the steps of an adjustment method provided by an embodiment of the present application;

[0046] Figure 2 yes Figure 1 Schematic diagram of sub-steps of step S101;

[0047] Figure 3 yes Figure 1 Schematic diagram of sub-steps of step S105;

[0048] Figure 4 yes Figure 1 Schematic diagram of sub-steps of step S104;

[0049] Figure 5 This is a schematic diagram of the steps of an adjustment method provided by another embodiment of the present application;

[0050] Figure 6 This is a schematic diagram of the steps of an adjustment method provided by another embodiment of the present application;

[0051] Figure 7 This is a schematic diagram of the steps of an adjustment method provided by another embodiment of the present application;

[0052] Figure 8 This is a schematic diagram of the steps of an adjustment method provided by another embodiment of the present application;

[0053] Figure 9 This is a schematic structural diagram of an adjustment device provided by an embodiment of the present application;

[0054] Figure 10 This is a schematic diagram of the hardware structure of an electronic device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0055] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0056] It should be noted that although the device schematics illustrate functional module divisions and the flowcharts illustrate logical sequences, in certain circumstances, the steps shown or described may be performed in a sequence that differs from the module divisions in the device or the sequence in the flowcharts. The terms "first," "second," and so on, in the specification, claims, and drawings, are used to distinguish similar items and are not necessarily used to describe a specific sequence or precedence.

[0057] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which this application pertains. The terms used herein are for the purpose of describing the embodiments of this application only and are not intended to limit this application.

[0058] Currently, with increased monitoring of financial transaction data, all financial institutions are strictly implementing relevant regulatory reporting requirements and submitting financial transaction data based on their own financial business needs. When a company's financial business changes, the original regulatory reporting rules may not be compatible with the new business model. Therefore, it is necessary to adjust the regulatory reporting rules to match the new business model before the change.

[0059] In related technologies, adjusted regulatory reporting rules require a trial run to prevent omissions and misreporting of financial transaction data. This trial run requires the adjusted regulatory reporting rules to be put into actual use to determine whether actual financial transaction data requires reporting. However, during this process, the previously implemented regulatory reporting rules are not enforced. During this time, financial transaction data generated by currently unchanged financial businesses has not yet been submitted for regulatory reporting and is gradually accumulating. To ensure that these unchanged financial businesses are not affected, the trial run must be repeated multiple times, which consumes a significant amount of experimental time and costs, resulting in low experimental efficiency and impacting subsequent financial businesses.

[0060] Based on this, the embodiments of the present application provide a method, apparatus, device and storage medium for adjusting regulatory reporting rules, aiming to improve the experimental efficiency of regulatory reporting rules and reduce experimental time costs.

[0061] The adjustment method, apparatus, device, and storage medium provided in the embodiments of the present application are specifically described through the following embodiments. First, the adjustment method in the embodiments of the present application is described.

[0062] The adjustment method provided in the embodiments of the present application relates to the field of financial technology. The adjustment method provided in the embodiments of the present application is applied to a server. In some embodiments, the server can be configured as an independent physical server, or as a server cluster or distributed system consisting of multiple physical servers. It can also be configured as a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, CDN, and big data and artificial intelligence platforms; the software can be an application that implements the adjustment method, etc., but is not limited to the above forms.

[0063] The present application can be used in many general or special computer system environments or configurations. For example: personal computers, server computers, handheld or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set-top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, distributed computing environments including any of the above systems or devices, and the like. The present application can be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, and the like that perform specific tasks or implement specific abstract data types. The present application can also be practiced in distributed computing environments in which tasks are performed by remote processing devices connected via a communication network. In a distributed computing environment, program modules can be located in local and remote computer storage media, including storage devices.

[0064] See Figure 1 , Figure 1 This is a schematic diagram of the steps of the adjustment method provided by an embodiment of the present application. Figure 1 The method may include but is not limited to steps S101 to S106.

[0065] Step S101: receiving adjustment request information from a terminal, and returning page response information according to the adjustment request information, so that the terminal displays an adjustment page including a preset rule column and a plurality of preset rule condition columns according to the page response information.

[0066] It should be understood that the preset rule column in the rule adjustment page here is used to fill in the information for calling the target adjustment rule. The target adjustment rule is a preset adjustment rule, which can be a regulatory rule that has been put into use or a backup regulatory rule; the preset rule condition column is used to fill in the rule condition or display the rule condition under the target adjustment rule.

[0067] It should be understood that the number of preset rule condition columns here is diverse, such as 5, 6, etc. For example, technical personnel in this field can determine the number of preset rule condition columns based on actual adjustment granularity requirements, and this application does not limit this.

[0068] It should be understood that the specific forms of the terminal here are various. It can be a terminal that establishes a communication connection with the server, or it can be a local control terminal of the server.

[0069] In one embodiment, the terminal sends an adjustment request message to the server to adjust the regulatory reporting rules. The adjustment request message includes a page request message. After the server responds to the page request, the terminal can display the page in a certain page browsing tool. The browsing tool will obtain the page control information based on the server's response information to generate a preset rule column and multiple preset rule condition columns on the page.

[0070] In one embodiment, an adjustment request message is sent to the server through a local control device on the server. After the server responds to the page request, the local control device can display the page in a certain page browsing tool. The browsing tool obtains page control information based on the server's response information to generate a preset rule column and multiple preset rule condition columns on the page.

[0071] Step S102: Acquire the reporting rule information input in the preset rule column, and return rule response information according to the reporting rule information, so that the plurality of first rule conditions are correspondingly displayed in the plurality of preset rule condition columns.

[0072] It should be understood that the multiple first rule conditions here correspond to one target adjustment rule, and the reporting rule information is used to call the target adjustment rule.

[0073] It should be understood that the specific implementation method of displaying the corresponding first rule condition information in each preset rule condition column here is diverse, and can be the following embodiments or other embodiments, and the embodiments of the present application are not limited to this.

[0074] In one embodiment, when the target adjustment rule includes multiple first rule conditions, but the number of the first rule conditions is less than the number of preset rule condition columns, some of the preset rule condition columns will not display any rule conditions and are in a no rule condition state.

[0075] In one embodiment, when the target adjustment rule includes multiple first rule conditions, the number of the first rule conditions is equal to the number of the preset rule condition columns, and each preset rule condition column will display one first rule condition.

[0076] In one embodiment, when a target adjustment rule includes multiple first rule conditions, but the number of first rule conditions is less than the number of preset rule condition columns, the preset rule condition columns that do not display the rule conditions will display information such as "Null" to indicate a blank preset rule condition column.

[0077] It should be understood that the specific forms of the first rule condition information corresponding to each preset rule condition column here are various, and can be the following embodiments or other embodiments, and the embodiments of the present application are not limited to this.

[0078] In one embodiment, a condition bar label is set for each rule condition, and each rule condition bar displays a corresponding first rule condition under the target adjustment rule according to the condition bar label corresponding to the rule condition, and the corresponding first rule condition is displayed in the corresponding preset rule condition bar.

[0079] In one embodiment, the display is performed according to the order in which the first rule conditions are searched. Specifically, after obtaining the reporting rule information entered in the preset rule condition column, the target adjustment rule is called. During the calling process, the server will search for what kind of first rule conditions the target adjustment rule includes and display them according to the order in which the first rule conditions are found.

[0080] In one embodiment, a rule table is set for any supervision rule, and the rule table records each rule condition. According to the table sequence number of each first rule condition in the rule table of the target adjustment rule, each rule condition is displayed one by one in the corresponding preset rule condition column.

[0081] Step S103: obtaining one or more second rule conditions corresponding to the input in one or more preset rule condition columns, and displaying the corresponding second rule conditions in the corresponding preset rule condition columns.

[0082] It should be understood that the second rule condition here is the rule condition for this adjustment. The second rule condition can be added to the target adjustment rule, or it can replace the first rule condition in the target adjustment rule. The second rule condition is relatively newer than the first rule condition, while the first rule condition is older.

[0083] It should be understood that the specific forms of input here are various, and can be directly filled in or input through a drop-down option box.

[0084] In one embodiment, taking the example of changing a rule condition, the first rule condition in the preset rule condition column of the page is deleted in the browsing tool, and the second rule condition is directly filled in. At this time, the browsing tool will send a request carrying the second rule condition to the server. After the server responds to the request, the server will replace the first rule condition in the corresponding preset rule condition column with the second rule condition, and display the entered second rule condition in the preset rule condition column.

[0085] In one embodiment, taking the example of changing a rule condition, it is implemented through a drop-down option box in the browsing tool. The drop-down option box will display multiple second rule conditions that can be selected in the preset rule condition column. Select one of them as the second rule condition and enter it into the preset rule condition column. At this time, the embedding point of the preset rule condition column will be triggered. At this time, the browsing tool responds and sends a request carrying the second rule condition to the server. After the server responds to the request, the server will replace the first rule condition in the corresponding preset rule condition column with the second rule condition, and make the preset rule condition column display the input second rule condition.

[0086] In one embodiment, taking the example of adding a rule condition, a drop-down option box is selected or directly filled in the preset rule condition column where the rule condition is not displayed. At this time, the browsing tool will send a request carrying the second rule condition to the server, and the server will update the second rule condition to the corresponding blank preset rule condition column and display it.

[0087] Step S104: receiving the experiment request information from the terminal, executing the experiment rules according to the experiment request information, making transaction data reporting decisions synchronously with the preset operation rules, obtaining and storing the reporting experiment results.

[0088] It should be understood that the experimental rules here are formed based on the rule conditions currently displayed on the adjustment page. The preset operating rules refer to the regulatory rules currently in use. The server will continue to use the preset operating rules to report transaction data before the experimental rule test is completed or if the experimental rule test fails.

[0089] It should be understood that the currently displayed rule conditions here include one or more second rule conditions, and the specific implementation forms are diverse. If all the first rule conditions are changed to second rule conditions, the currently displayed rule conditions will only have multiple second rule conditions; if all the first rule conditions are only partially changed, the currently displayed rule conditions will include the one or more second rule conditions entered and one or more first rule conditions that have not been changed by the second rule conditions.

[0090] In one embodiment, the total number of rule conditions represented by the first rule condition and the second rule condition is less than the number of rule conditions represented by the first rule condition in the page before adjustment. For example, before adjustment, the page displays first rule conditions A, B, and C. After adjustment, the first rule condition A is replaced by the second rule condition D, and the first rule condition B is deleted. Finally, the experimental rule is formed based on the first rule condition C and the second rule condition D.

[0091] In one embodiment, the total number of rule conditions represented by the first rule condition and the second rule condition is equal to the number of rule conditions represented by the first rule condition in the page before adjustment. For example, before adjustment, the page displays the first rule conditions A, B and C. After adjustment, the second rule condition D replaces the first rule condition A, and finally the experimental rule is formed according to the first rule conditions B, C and the second rule condition D.

[0092] In one embodiment, the total number of rule conditions represented by the first rule condition and the second rule condition is greater than the number of rule conditions represented by the first rule condition in the page before adjustment. For example, before adjustment, the page displays the first rule conditions A, B and C. After adjustment, the second rule condition D is added, and finally the experimental rules are formed according to the first rule conditions A, B, C and the second rule condition D.

[0093] It should be understood that the experimental rules here are deployed in a virtual environment for experiments. The virtual environment is distinguished from the real operating environment using preset operating rules. The two run simultaneously without interfering with each other, ensuring that the preset operating rules can report data normally while also testing the adjusted reporting rules to avoid data reporting errors. Moreover, since the data for the experiment is real data, the experimental process can effectively avoid the problem of bias in the experimental data, so that the experimental process can more accurately feedback actual usage problems, thereby improving experimental efficiency.

[0094] It should be understood that the specific deployment location of the virtual environment here is diverse, and can be local to the server or other servers. Technical personnel in this field can determine the specific deployment location of the virtual environment based on actual conditions, and the embodiments of this application do not limit this.

[0095] In one embodiment, the virtual environment is deployed on a local server. The local server runs two sets of regulatory reporting rules at the same time. After obtaining transaction data, the server will make reporting judgments in the corresponding environment based on the two sets of reporting rules. For preset operating rules, transaction data is reported according to the judgment results; for experimental rules, the reported experimental results are stored locally.

[0096] In one embodiment, the virtual environment is deployed in the cloud. After obtaining the transaction data, the local server sends the transaction data to the cloud. After obtaining the transaction data, the local server makes an actual reporting judgment according to the preset operating rules and reports the transaction data according to the judgment result. The cloud makes a reporting judgment according to the experimental rules and stores the reporting judgment locally in the cloud.

[0097] Step S105 , in response to a preset detection condition trigger, performing reporting indicator judgment according to a plurality of reported experimental results to obtain an indicator judgment result.

[0098] It should be understood that the specific preset detection conditions here are diverse. For example, the experimental time of the experimental rule reaches a certain preset experimental time threshold; for example, the amount of transaction data determined by the execution of the experimental rule reaches a certain number, etc. Technical personnel in this field can determine the specific preset detection conditions based on actual conditions, and the embodiments of this application are not limited to this.

[0099] It should be understood that the reporting indicator judgment here is diverse and can be the following embodiments or other embodiments, and the embodiments of this application are not limited to this.

[0100] In one embodiment, the experimental reporting accuracy of specific data is determined. Specifically, the accuracy is calculated based on multiple reported experimental results and other reference data to obtain the experimental reporting accuracy, and the experimental reporting accuracy is compared with a preset reporting accuracy threshold to obtain an indicator judgment result.

[0101] In one embodiment, the reporting ratio of the specific data reported relative to all the data subjected to the reporting experiment is determined, the reporting ratio is calculated based on the reporting experimental results of the specific data, and the reporting ratios of multiple specific data are compared with the preset reporting data ratios to obtain the indicator judgment result.

[0102] Step S106: When the indicator judgment result indicates that the experimental rules meet the reporting standards, the transaction data is reported according to the experimental rules.

[0103] In one embodiment, when the indicator judgment result indicates that the experimental rule meets the reporting criteria, the preset operation rules will be stopped and the experimental rules will be switched to be used for transaction data reporting to complete direct deployment, which reduces the deployment time cost of the experimental rules and improves the conversion efficiency of the experimental rules.

[0104] By adjusting the reporting rule conditions on the adjustment page to form experimental rules and performing data judgment synchronously with the preset operating rules, it is possible to test the adjusted reporting rules while reporting data normally through the preset operating rules, thereby reducing the time cost of regulatory reporting rule experiments; and, since the data for the experiment is real data, the experimental process can effectively avoid the problem of bias in the experimental data, so that the experimental process can more accurately feedback actual usage problems, thereby improving experimental efficiency.

[0105] See Figure 2 , Figure 2 for Figure 1 In some possible embodiments of the present application, the reporting rule information includes but is not limited to rule tag information, and step S101 includes but is not limited to the following sub-steps.

[0106] Step S201 : determining a target adjustment rule from a preset rule pool according to rule tag information, and obtaining a rule table of the target adjustment rule.

[0107] Step S202: Generate rule response information according to multiple first rule conditions.

[0108] It should be understood that the rule table here includes but is not limited to a plurality of first rule conditions, and the rule table can also be used to record other information.

[0109] In one embodiment, all preset regulatory reporting rules are carried by rule tables, all rule tables are stored by preset rule pools, and each preset regulatory reporting rule is identified by a rule tag, wherein the rules stored in the preset rule pool include but are not limited to historical regulatory reporting rules that have been discontinued, unused standby regulatory reporting rules, and currently used preset operating rules and other multiple regulatory reporting rules.

[0110] In order to obtain the target adjustment rule, it is necessary to obtain the rule tag information, and query a rule tag corresponding to the rule tag information from multiple rule tags based on the rule tag information, so as to determine the regulatory reporting rule as the target adjustment rule, so that the server can call the rule table of the target adjustment rule to make rule adjustments, and generate rule response information based on the multiple first rule conditions in the rule table, so that each first rule condition of the target adjustment rule is displayed through a preset rule condition column on the adjustment page.

[0111] It should be understood that in addition to generating rule response information based on multiple first rule conditions in step S202, response information can also be generated based on multiple first rule conditions and other existing information in the rule table, so that multiple first rule conditions meet the requirements of different scenarios when adjusting the page.

[0112] The embodiment of the present application sets labels for regulatory reporting rules and searches for regulatory reporting rules that are target adjustment rules through rule label information, and generates rule response information based on the first rule condition, so that the adjustment page can display the required content for adjusting the regulatory reporting rules more quickly and accurately, thereby improving the adjustment efficiency of the regulatory reporting rules and making the rule adjustment process more consistent with the actual financial business change process.

[0113] See Figure 3 , Figure 3 for Figure 1 Schematic diagram of sub-steps of step S105. In some possible embodiments of the present application, step S105 includes but is not limited to the following sub-steps.

[0114] Step S301: obtaining true judgment results corresponding to multiple reported experimental results.

[0115] Step S302 , performing transaction data reporting stability calculation based on multiple reporting experiment results and multiple real judgment results to obtain a reporting stability value corresponding to the experimental rule.

[0116] Step S303: determining an indicator judgment result based on the reported stability value and a preset stability threshold.

[0117] It should be understood that the actual judgment result is used to indicate whether the transaction data is reported according to the preset operating rules.

[0118] It should be understood that the stability calculation here is used to calculate the stability of the experimental data reporting, and the stability is determined by the difference between the judgment results of the experimental rules on the transaction data and the judgment results of the preset operation rules on the transaction data. The specific details are diverse and can be the following embodiments or other embodiments. The embodiments of this application are not limited to this.

[0119] It should be understood that the preset stability threshold here is used to represent the business differences in the reported data. Financial business personnel can estimate or calculate the degree of difference in the reported data based on the degree of change in the financial business, thereby determining the preset stability threshold. The specific numerical value is not limited in the embodiment of this application.

[0120] Since the experimental rules are matched with the changed financial business, the transaction data that needs to be reported is also specific. The preset operating rules may require reporting of a specific transaction data, but under the requirements of the changed financial business, the transaction data does not need to be reported. Alternatively, the preset operating rules may not require reporting of a specific transaction data, but under the requirements of the changed financial business, the transaction data needs to be reported.

[0121] Taking the reduction in reporting volume as an example, if among multiple transaction data, the preset operating rules determine that some data need to be reported, and this part of the data does not need to be reported under the changed financial business requirements, and the experimental rules determine that most of the data need to be reported, and a small part does not need to be reported, then it means that the experimental rules are unstable, and the experimental rules cannot stably form business differences with the preset operating rules. Such experimental rules cannot be put into use. For example, among 100 transaction data, the preset operating rules determine that 10 need to be reported. This part of the data does not need to be reported under the changed financial business requirements, and the experimental rules determine that 6 of these 10 transaction data need to be reported, and 4 do not need to be reported, then the experimental rules are unstable.

[0122] Failure to maintain the stability of experimental rules can lead to false positives and other misreporting, impacting the conduct of financial services. To mitigate these impacts, it is necessary to control the stability of transaction data reporting, ensuring accurate and consistent reporting of specific transaction data. To achieve this, it is necessary to obtain the actual judgment results corresponding to the reported experimental results as a reference to determine whether the results of the experimental reporting differ from those required by the original financial services.

[0123] In one embodiment, the true judgment results corresponding to all reported experimental results are obtained, and the ratio of the number of reported experimental results that are determined as needing to be reported according to the preset operating rules and the corresponding true judgment results to the number of true judgment results that are determined as needing to be reported according to the preset operating rules is calculated, and the ratio is determined as the reporting stability value, and the reporting stability value is compared with the preset stability threshold to determine the indicator judgment result.

[0124] In one embodiment, a portion of the reported experimental results is randomly selected from all the reported experimental results, and the true judgment results corresponding to this portion of the reported experimental results are obtained. The proportion of the number of reported experimental results that are determined as needing to be reported by the preset operation rules but are determined as not needing to be reported by the experimental rules in this portion of the reported experimental results is calculated, and this proportion is determined as the reporting stability value. The reporting stability value is compared with the preset stability threshold to determine the indicator judgment result, and the universality of the judgment result is ensured by random sampling.

[0125] In one embodiment, similar to the process of extracting part of the experimental results to calculate the stability in the previous embodiment, in this embodiment, a part of the reported experimental results is randomly extracted multiple times to perform multiple calculations of the reported stability value, and the average reported stability value is compared with the preset stability threshold to determine the indicator judgment result.

[0126] The embodiment of the present application calculates the reporting stability value to determine whether the experimental rule is stable in reporting transaction data. Compared with the verification work that requires preparing a standard result for each reported experimental result for comparison, the verification workload of the experimental rule and the amount of data calculated are reduced. While ensuring the stability and accuracy of the reporting of the experimental rule, the verification time of the experimental rule is reduced and the verification efficiency of the experimental rule is improved.

[0127] See Figure 4 , Figure 4 for Figure 1 Schematic diagram of sub-steps of step S104 in FIG. In some possible embodiments of the present application, step S104 includes but is not limited to the following embodiments.

[0128] Step S401: In response to receiving transaction data, a transaction data reporting judgment is performed according to a preset operation rule, a true judgment result is obtained, and the result is stored in a first preset table.

[0129] Step S402: Transaction data reporting is determined according to the experimental rules to obtain reporting experimental results, and the reporting experimental results are stored in a second preset table.

[0130] It should be understood that the first preset table and the second preset table here are both used to record the intermediate data and judgment results generated in the process of transaction data reporting and judgment. The specific forms of the two are diverse, and can be the following embodiments or other embodiments. The embodiments of this application are not limited to this.

[0131] In one embodiment, the first preset table and the second preset table are both set in the form of a combination table, including but not limited to an intermediate sub-table and a result sub-table. The intermediate sub-table is used to calculate and record the intermediate data generated in the process of transaction data reporting and judgment, and the result sub-table is used to record the judgment results.

[0132] In one embodiment, the first preset table and the second preset table are both summary tables, and the summary table is provided with table entries for recording intermediate data and judgment results.

[0133] In one embodiment, one of the first preset table and the second preset table is in the form of a summary table, and the other is in the form of a group table.

[0134] In one embodiment, in response to receiving transaction data, the transaction data reporting judgment will first be performed according to the preset operating rules to obtain a real judgment result, and whether reporting is required will be determined based on the real judgment result to ensure the normal operation of the original financial business; at the same time, the transaction data will also be transmitted to the virtual environment where the experimental rules are deployed, and the transaction data reporting judgment will be performed according to the experimental rules to obtain the reporting experimental results, and the reporting experimental results will be stored in the second preset table, thereby realizing the synchronous operation of the two reporting rules, reducing the need for large-scale calls to historical data during asynchronous testing, reducing the consumption of computing server resources, improving experimental efficiency, and reducing experimental time costs.

[0135] See Figure 5 , Figure 5 A schematic diagram of steps of an adjustment method provided in another embodiment of the present application. In some possible embodiments of the present application, after step S106, the adjustment method further includes but is not limited to the following steps.

[0136] Step S501: Update the experimental rules to the preset rule pool.

[0137] It should be understood that the specific implementation of step S501 here is different, and can be the following embodiments or other embodiments, and the embodiments of the present application are not limited to this.

[0138] In one embodiment, the capacity of the preset rule pool is not limited. After the experimental rules are applied as the regulatory reporting rules for actual use, the experimental rules are updated to the preset rule pool.

[0139] In one embodiment, the capacity of the preset rule pool is limited, and a self-update mechanism is adopted. When the experimental rule is updated to the preset rule pool, the number of regulatory rules in the preset rule pool is full. When the experimental rule is added to the preset rule pool, the regulatory rule that has been in the rule pool for the longest time is removed.

[0140] By updating the experimental rules to the preset rule pool, the experimental rules can be used as the target adjustment rules for the next regulatory reporting rule adjustment, thereby improving the convenience of regulatory reporting rule adjustment.

[0141] See Figure 6 , Figure 6 A schematic diagram of the steps of the adjustment method provided in another embodiment of the present application. In some possible embodiments of the present application, the adjustment page further includes but is not limited to a preset time column, and after step S105, the adjustment method further includes but is not limited to the following steps.

[0142] Step S601: When the indicator judgment result indicates that the experimental rule does not meet the reporting standard, the execution time information of the experimental rule and the experimental threshold time information entered in the preset time column are obtained.

[0143] Step S602 : performing an execution duration judgment based on the execution duration information and the experimental threshold duration information to obtain an execution duration judgment result.

[0144] Step S603: When the execution duration judgment result indicates that the duration corresponding to the execution duration information is greater than or equal to the duration corresponding to the experiment threshold duration information, a final reporting indicator judgment is performed based on multiple reported experimental results to obtain a final indicator judgment result.

[0145] Step S604: When the final indicator judgment result indicates that the experimental rules meet the reporting standards, the transaction data is reported according to the experimental rules.

[0146] It should be understood that the final reporting indicator judgment here is the same as the process and function of the reporting indicator judgment in step S105, but the final reporting indicator judgment is the last reporting indicator judgment for the experimental rules. Regardless of whether the final indicator judgment result indicates that the experimental rules meet the reporting standards, no further experiments will be conducted on the experimental rules and no further reporting indicator judgments will be conducted.

[0147] In one embodiment, when the indicator judgment result indicates that the experimental rule does not meet the reporting standard, in order to eliminate the deviation of the indicator judgment result caused by insufficient transaction data, it is necessary to conduct the experimental rule in a virtual environment for a period of time to eliminate this influence. By obtaining the execution time information of the experimental rule and the experimental threshold time information entered in the preset time column, a time judgment is performed to obtain the execution time judgment result. When the execution time judgment result indicates that the time corresponding to the execution time information is greater than or equal to the time corresponding to the experimental threshold time information, a final reporting indicator judgment is performed on the multiple currently obtained reporting experimental results based on the reporting indicator judgment process in step S105 to obtain a final indicator judgment result. When the final indicator judgment result indicates that the experimental rule meets the reporting standard, it is proved that the previous indicator judgment result deviated due to insufficient transaction data, and the transaction data is reported according to the experimental rule.

[0148] In one embodiment, when the execution time judgment result indicates that the time corresponding to the execution time information is less than the time corresponding to the experimental threshold time information, continue to execute according to step S105. If the preset detection condition is not triggered again or the preset detection condition is set to be triggered only once, the experimental rule is executed to the time corresponding to the experimental threshold time information. If the preset detection condition is triggered again, process according to step S105.

[0149] The embodiment of the present application sets a time judgment to eliminate the deviation of the indicator judgment result caused by insufficient transaction data, and performs secondary or multiple reporting indicator judgments on experimental rules that do not meet the reporting standards, thereby improving the reporting accuracy of the experimental rules and the rigor of the experimental process.

[0150] See Figure 7 , Figure 7 A schematic diagram of steps of an adjustment method provided in another embodiment of the present application. In some possible embodiments of the present application, after step S603, the adjustment method further includes but is not limited to the following steps.

[0151] Step S701: When the final indicator judgment result indicates that the experimental rules do not meet the reporting standards, transaction data is reported according to the preset operating rules.

[0152] When the final indicator judgment result indicates that the experimental rules meet the reporting standards, it proves that the previous indicator judgment result is not related to the factor of insufficient transaction data, and the experimental rules cannot reliably match the changed financial business. Continue to use the preset operating rules to report transaction data.

[0153] It should be understood that continuing to use the preset operating rules to report transaction data here means continuing to conduct the original financial business. Since the preset operating rules do not match the changed financial business, under regulatory requirements, the changed financial business cannot be carried out, and only the original financial business can be carried out until a regulatory reporting rule that matches the changed financial business is obtained.

[0154] See Figure 8 , Figure 8 A schematic diagram of steps of an adjustment method provided in another embodiment of the present application. In some possible embodiments of the present application, before step S103, the adjustment method further includes but is not limited to the following steps.

[0155] Step S801: Acquire a preset data record table corresponding to the target adjustment rule according to the reporting rule information.

[0156] Step S802: Generate a second preset table according to the preset data recording table.

[0157] It should be understood that the specific forms of generating the second preset table here are various, and can be the following embodiments or other embodiments, and the embodiments of the present application are not limited to this.

[0158] In one embodiment, a target adjustment rule is determined according to the reporting rule information, a preset data recording table corresponding to the target adjustment rule is obtained, and the preset data recording table corresponding to the target adjustment rule is copied to obtain a second preset table.

[0159] In one embodiment, a target adjustment rule is determined according to the reporting rule information, a preset data recording table corresponding to the target adjustment rule is obtained, and a new data recording table is generated as a second preset table according to the table items of the preset data recording table.

[0160] The embodiment of the present application generates a second preset table according to the preset data record table corresponding to the target adjustment rule, thereby reducing the time cost of making the record table and improving the experimental efficiency. In addition, the second preset table is similar to the preset data record table, which is convenient for business personnel to view and make judgments.

[0161] The following is a specific application example of this application.

[0162] Due to changes in financial services, the current default operating rules are no longer applicable to the changed financial services. New regulatory reporting rules are needed to match the changed financial services. To expedite the acquisition of new regulatory reporting rules and to align with the progress of financial services changes, we have decided to make changes to the existing regulatory reporting rules.

[0163] To this end, the relevant business personnel send adjustment request information to the server that implements regulatory reporting through the terminal. The server responds to the adjustment request information after receiving the adjustment request information. When it is determined that the service corresponding to the request can be executed, the server will return a page response information. The terminal can obtain the page-related plug-in file according to the page response information and generate an adjustment page according to the relevant plug-in file. The adjustment page displays a preset rule column, multiple preset rule condition columns and a preset time column. The preset rule column and multiple preset rule condition columns are input through drop-down option boxes, and the preset time column is filled in directly.

[0164] The multiple preset rule condition columns include a preset main condition rule column and multiple preset sub-condition rule columns. The preset main condition rule column is used to fill in the main rule conditions, and the preset sub-condition rule column is used to fill in the sub-rule conditions. The main rule conditions are necessary conditions, and the sub-rule conditions are non-necessary conditions.

[0165] The business personnel fill in the reporting rule information in the preset rule column of the adjustment page and fill in the experimental threshold duration information in the preset time column. After that, the server will obtain the reporting rule information and determine the target adjustment rule in the preset rule pool based on the rule tag information included in the reporting rule information, obtain the rule table corresponding to the target adjustment rule, and generate rule response information based on the first rule condition in the rule table. After receiving the rule response information, the terminal displays the first rule condition A belonging to the main rule condition in the preset main condition rule column according to the rule response information, and displays the first rule conditions B, C, D, and E belonging to the sub-rule conditions in the first rule condition in the multiple preset sub-condition rule columns respectively. At the same time, the server also generates a second preset table based on the preset data record table corresponding to the target adjustment rule.

[0166] On the adjustment page, the business personnel selects the second rule condition by pulling down the option boxes of the preset main condition rule column and the preset sub-condition rule column respectively. Finally, the business personnel selects the second rule condition A1 in the preset main condition rule column through the option box to replace the first rule condition A as the new main rule, and selects the second rule condition C2 in the preset sub-condition rule column corresponding to the first rule condition C through the option box to replace the first rule condition C as a new sub-rule, and sends the experiment request.

[0167] After receiving the experimental request information sent by the terminal, the server forms experimental rules based on the experimental request information and the second rule condition A1, first rule condition B, second rule condition C2, first rule conditions D and E displayed in the current adjustment page, and deploys the experimental rules in the virtual environment preset by the server.

[0168] In response to receiving the transaction data, the server performs transaction data reporting judgment on the transaction data according to the preset operation rules and experimental rules, and obtains the real judgment result and the reporting experimental result respectively, which are stored in the first preset table and the second preset table respectively.

[0169] When the preset detection condition is triggered during the operation of the experimental rule, the reporting index judgment is performed based on the multiple reported experimental results in the second preset table and the corresponding multiple real judgment results in the first preset table, and the stability of the experimental rule is calculated to obtain the index judgment result.

[0170] When the indicator judgment result indicates that the experimental rule does not meet the reporting standards, the execution time information of the experimental rule and the experimental threshold time information filled in the preset time column are obtained, and the time judgment is performed based on the execution time information and the experimental threshold time information. When the running time is less than the experimental threshold time, the experimental rule continues to be executed in the virtual environment, and the transaction data continues to be reported according to the preset running rules until the running time is greater than or equal to the experimental threshold time, and the final reporting indicator judgment is performed.

[0171] The final reporting indicator judgment is performed based on the multiple currently existing reported experimental results in the second preset table and the corresponding multiple real judgment results in the first preset table, and the stability of the experimental rules running to the experimental threshold time is calculated to obtain the final indicator judgment result.

[0172] When the final indicator judgment result indicates that the experimental rules meet the reporting standards, stop reporting the transaction data of the preset operation rules, and use the experimental rules to report the transaction data instead, and update the experimental rules to the preset rule pool.

[0173] See Figure 9 , Figure 9This is a schematic diagram of the structure of an adjustment device provided in one embodiment of the present application. This embodiment of the present application also provides an adjustment device for regulatory reporting rules, which can implement the above adjustment method. The device 900 includes:

[0174] The page response information returning module 901 is configured to receive adjustment request information from a terminal and return page response information according to the adjustment request information, so that the terminal displays an adjustment page including a preset rule column and multiple preset rule condition columns according to the page response information.

[0175] The rule response information returning module 902 is used to obtain the reporting rule information input in the preset rule column, and return rule response information according to the reporting rule information, so that multiple first rule conditions are correspondingly displayed in multiple preset rule condition columns.

[0176] It should be understood that the multiple first rule conditions here correspond to one target adjustment rule.

[0177] The second rule condition acquisition module 903 is configured to acquire one or more second rule conditions corresponding to the input in one or more preset rule condition fields.

[0178] The supervision rule experiment module 904 is used to receive the experiment request information from the terminal, execute the experiment rules according to the experiment request information, make transaction data reporting judgment synchronously with the preset operation rules, obtain and store the reporting experiment results.

[0179] It should be understood that the experimental rules here are formed according to the rule conditions currently displayed on the adjustment page, and the rule conditions currently displayed here include one or more input second rule conditions.

[0180] The indicator judgment module 905 is used to respond to the triggering of the preset detection condition, perform reporting indicator judgment according to multiple reported experimental results, and obtain an indicator judgment result.

[0181] The transaction data reporting module 906 is used to report the transaction data according to the experimental rules when the indicator judgment result indicates that the experimental rules meet the reporting standards.

[0182] The specific implementation of the adjustment device is basically the same as the specific embodiment of the above-mentioned adjustment method, and will not be repeated here.

[0183] See Figure 10 , Figure 10 The hardware structure of an electronic device according to an embodiment is shown. The electronic device 1000 includes:

[0184] The processor 1001 can be implemented as a general-purpose CPU (Central Processing Unit), a microprocessor, an application-specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of the present application;

[0185] The memory 1002 can be implemented in the form of a read-only memory (ROM), a static storage device, a dynamic storage device, or a random access memory (RAM). The memory 1002 can store an operating system and other application programs. When the technical solutions provided in the embodiments of this specification are implemented through software or firmware, the relevant program code is stored in the memory 1002 and is called by the processor 1001 to execute the adjustment method of the embodiments of this application.

[0186] Input / output interface 1003, used to implement information input and output;

[0187] Communication interface 1004, used to implement communication interaction between this device and other devices, which can be achieved through wired means (such as USB, network cable, etc.) or wireless means (such as mobile network, WiFi, Bluetooth, etc.);

[0188] Bus 1005 , which transmits information between various components of the device (e.g., processor 1001 , memory 1002 , input / output interface 1003 , and communication interface 1004 );

[0189] The processor 1001 , the memory 1002 , the input / output interface 1003 and the communication interface 1004 are connected to each other in communication within the device via the bus 1005 .

[0190] The present application also provides an electronic device comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the above adjustment method when executing the computer program. The electronic device can be any smart terminal including a tablet computer, an in-vehicle computer, or the like.

[0191] An embodiment of the present application further provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the above-mentioned adjustment method is implemented.

[0192] The memory, as a non-transient computer-readable storage medium, can be used to store non-transient software programs and non-transient computer executable programs. In addition, the memory may include a high-speed random access memory and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some embodiments, the memory may optionally include a memory remotely arranged relative to the processor, and these remote memories may be connected to the processor via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0193] The embodiments described in the embodiments of this application are intended to more clearly illustrate the technical solutions of the embodiments of this application and do not constitute a limitation on the technical solutions provided by the embodiments of this application. Those skilled in the art will appreciate that with the evolution of technology and the emergence of new application scenarios, the technical solutions provided in the embodiments of this application are also applicable to similar technical problems.

[0194] Those skilled in the art will understand that the technical solutions shown in the figures do not constitute a limitation on the embodiments of the present application, and may include more or fewer steps than shown in the figures, or a combination of certain steps, or different steps.

[0195] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, i.e., they may be located in one place or distributed across multiple network units. Some or all of the modules may be selected based on actual needs to achieve the objectives of this embodiment.

[0196] Those skilled in the art will appreciate that all or some of the steps in the methods, systems, and functional modules / units in the devices disclosed above may be implemented as software, firmware, hardware, or appropriate combinations thereof.

[0197] The terms "first", "second", "third", "fourth", etc. (if any) in the specification of the present application and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequential order. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0198] It should be understood that in this application, "at least one (item)" means one or more, and "plurality" means two or more. "And / or" is used to describe the association relationship of associated objects, indicating that three relationships may exist. For example, "A and / or B" can mean: only A exists, only B exists, and A and B exist at the same time, where A and B can be singular or plural. The character " / " generally indicates that the previous and next associated objects are in an "or" relationship. "At least one of the following items" or similar expressions refers to any combination of these items, including any combination of single items or plural items. For example, at least one of a, b or c can mean: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, c can be single or multiple.

[0199] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of the above-mentioned units is only a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0200] The units described above as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0201] In addition, the functional units in the various embodiments of the present application may be integrated into a single processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0202] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the relevant technology or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes multiple instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk, and other media that can store programs.

[0203] The preferred embodiments of the present invention are described above with reference to the accompanying drawings, but are not intended to limit the scope of the present invention. Any modifications, equivalent substitutions, and improvements made by those skilled in the art without departing from the scope and essence of the present invention should be within the scope of the present invention.

Claims

1. A method for adjusting regulatory reporting rules, characterized in that: The adjustment method is applied to the server, and the adjustment method includes: receiving adjustment request information from a terminal, and returning page response information according to the adjustment request information, so that the terminal displays an adjustment page including a preset rule column and a plurality of preset rule condition columns according to the page response information; Obtaining reporting rule information input in the preset rule column, and returning rule response information according to the reporting rule information, so that a plurality of first rule conditions are correspondingly displayed in a plurality of the preset rule condition columns, wherein the plurality of first rule conditions correspond to one target adjustment rule; Obtaining one or more second rule conditions corresponding to the input in one or more preset rule condition columns, and displaying the corresponding second rule conditions in the corresponding preset rule condition columns; receiving an experiment request message from the terminal, executing an experiment rule according to the experiment request message to synchronously determine transaction data reporting in accordance with a preset operation rule, obtaining and storing a reporting experiment result, wherein the experiment rule is formed according to a rule condition currently displayed on the adjustment page, and the currently displayed rule condition includes one or more input second rule conditions; In response to a preset detection condition trigger, performing a reporting indicator judgment based on the plurality of reported experimental results to obtain an indicator judgment result; When the indicator judgment result indicates that the experimental rules meet the reporting standards, the transaction data is reported according to the experimental rules.

2. The adjustment method according to claim 1, characterized in that: The reporting rule information includes rule label information; The acquiring of the reporting rule information input in the preset rule column and returning rule response information according to the reporting rule information includes: Determining the target adjustment rule from a preset rule pool according to the rule tag information, and obtaining a rule table of the target adjustment rule, wherein the rule table includes a plurality of first rule conditions; The rule response information is generated according to a plurality of the first rule conditions.

3. The adjustment method according to claim 1, characterized in that: The reporting indicator judgment is performed based on the multiple reported experimental results to obtain the indicator judgment result, including: Obtaining a plurality of true judgment results corresponding to the reporting experiment results, wherein the true judgment results are used to determine whether the transaction data should be reported; Calculating transaction data reporting stability based on the plurality of reporting experiment results and the plurality of true judgment results to obtain a reporting stability value corresponding to the experimental rule; The indicator judgment result is determined according to the reported stability value and the preset stability threshold.

4. The adjustment method according to claim 3, characterized in that: The transaction data reporting determination is performed synchronously with the preset operation rules, and the reporting experiment results are obtained and stored, including: In response to receiving the transaction data, performing transaction data reporting determination according to the preset operating rules, obtaining the true determination result, and storing the result in the first preset table; The transaction data reporting judgment is performed according to the experimental rules to obtain the reporting experimental results, and the reporting experimental results are stored in a second preset table.

5. The adjustment method according to claim 2, characterized in that: When the indicator judgment result indicates that the experimental rule meets the reporting standard, after the transaction data is reported according to the experimental rule, the adjustment method further includes: The experimental rules are updated to the preset rule pool.

6. The adjustment method according to claim 1, characterized in that: The adjustment page also includes a preset time column; After determining the reporting indicator based on the plurality of reported experimental results and obtaining the indicator determination result, the adjustment method further includes: When the indicator judgment result indicates that the experimental rule does not meet the reporting standard, obtaining the execution time information of the experimental rule and the experimental threshold time information entered in the preset time column; Performing an execution time judgment based on the execution time information and the experimental threshold time information to obtain an execution time judgment result; When the execution duration judgment result indicates that the duration corresponding to the execution duration information is greater than or equal to the duration corresponding to the experiment threshold duration information, a final reporting indicator judgment is performed based on the multiple reported experiment results to obtain a final indicator judgment result, and one of the following is performed based on the final indicator judgment result: When the final indicator judgment result indicates that the experimental rules meet the reporting standards, the transaction data is reported according to the experimental rules; or When the final indicator judgment result indicates that the experimental rule does not meet the reporting standards, the transaction data is reported according to the preset operation rules.

7. The adjustment method according to claim 4, characterized in that: Before obtaining the one or more second rule conditions correspondingly inputted in one or more preset rule condition fields, the adjustment method includes: Obtaining a preset data record table corresponding to the target adjustment rule according to the reporting rule information; The second preset table is generated according to the preset data recording table.

8. A device for adjusting regulatory reporting rules, characterized in that: The adjusting device comprises: a page response information returning module, configured to receive adjustment request information from a terminal, and return page response information according to the adjustment request information, so that the terminal displays an adjustment page including a preset rule column and a plurality of preset rule condition columns according to the page response information; a rule response information returning module, configured to obtain the reporting rule information input in the preset rule column, and return rule response information according to the reporting rule information, so that a plurality of first rule conditions are correspondingly displayed in a plurality of the preset rule condition columns, wherein the plurality of first rule conditions correspond to one target adjustment rule; A second rule condition acquisition module, configured to acquire one or more second rule conditions inputted correspondingly in one or more preset rule condition fields; a regulatory rule experiment module, configured to receive experiment request information from the terminal, execute experiment rules according to the experiment request information, perform transaction data reporting determination synchronously with preset operation rules, obtain and store reporting experiment results, wherein the experiment rules are formed according to the rule conditions currently displayed on the adjustment page, and the currently displayed rule conditions include one or more of the second rule conditions input; An indicator judgment module is configured to respond to a preset detection condition trigger, perform reporting indicator judgment based on the plurality of reported experimental results, and obtain an indicator judgment result; The transaction data reporting module is used to report the transaction data according to the experimental rules when the indicator judgment result indicates that the experimental rules meet the reporting standards.

9. An electronic device, characterized in that: The electronic device includes a memory and a processor, the memory stores a computer program, and the processor implements the method according to any one of claims 1 to 7 when executing the computer program.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

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