CN116974858A

CN116974858A - Information generation method, system, device, equipment and storage medium

Info

Publication number: CN116974858A
Application number: CN202310809646.3A
Authority: CN
Inventors: 陈尚志; 朱祖恩; 陈浩欣; 魏晓聪
Original assignee: China Construction Bank Corp; CCB Finetech Co Ltd
Current assignee: China Construction Bank Corp; CCB Finetech Co Ltd
Priority date: 2023-07-03
Filing date: 2023-07-03
Publication date: 2023-10-31

Abstract

The application discloses an information generation method, an information generation system, an information generation device, an information generation equipment and a storage medium. Relates to the technical field of big data. Under the condition that a resource replacement request of a resource replacement requester is received, configuring a first early warning monitoring model according to the resource replacement request to obtain M second early warning monitoring models, wherein the second early warning monitoring models are used for monitoring behavior data of P resource replacement execution platforms associated with each resource replacement scene in N resource replacement scenes; when the suspicious point behavior data fed back by the target early warning monitoring models in the M second early warning monitoring models are acquired, generating resource replacement evaluation information for representing the risk degree of resource replacement by a resource replacement requester according to the suspicious point behavior data. Therefore, the resource replacement management parameters are automatically configured, the manual participation is reduced, the risk monitoring of each platform under different scenes is realized, and the accuracy and the efficiency of the resource replacement early warning are improved.

Description

Information generation method, system, device, equipment and storage medium

Technical Field

The present application belongs to the technical field of big data, and in particular, relates to an information generating method, system, device, equipment and storage medium.

Background

The resource replacement early warning is an important process for providing resource replacement service by the resource replacement management platform, and aims to control risks, ensure that the resource replacement management platform can acquire the preset resource quantity after the resource replacement in time and quantity, monitor the fund flow direction of the resource replacement and ensure that the fund of the resource replacement can be used legally and in compliance.

In the related art, the fund flow direction of resource replacement can be monitored manually by a staff of the resource replacement management platform, and the resource replacement early warning is carried out on the fund flow direction. However, due to different staff monitoring different fund flows, the complete fund flow cannot be monitored comprehensively, and due to different working capacities of the staff, the monitoring content is easy to be lost, so that the accuracy of resource replacement early warning can be reduced, and the resource replacement early warning delay can be caused.

Disclosure of Invention

The application provides an information generation method, system, device, equipment and storage medium, which are used for solving the problems of low accuracy and easy delay of resource replacement early warning in the prior art.

In a first aspect, an embodiment of the present application provides an information generating method, including:

Under the condition that a resource replacement request of a resource replacement requester is received, configuring a first early warning monitoring model according to the resource replacement request to obtain M second early warning monitoring models, wherein the second early warning monitoring models are used for monitoring behavior data of P resource replacement execution platforms associated with each resource replacement scene in N resource replacement scenes, and M, N, P is a positive integer;

under the condition that suspicious point behavior data fed back by a target early warning monitoring model in the M second early warning monitoring models is acquired, generating resource replacement evaluation information according to the suspicious point behavior data;

the suspicious point behavior data are data which meet the preset abnormal resource transfer behavior conditions in the target resource replacement execution platforms in the N resource replacement scenes; the resource replacement evaluation information is used for representing the risk degree of the resource replacement by the resource replacement requester.

In a second aspect, an embodiment of the present application provides an information generating apparatus, including:

the configuration module is used for configuring the first early warning monitoring model according to the resource replacement request under the condition that the resource replacement request of a resource replacement requester is received, so as to obtain M second early warning monitoring models, wherein the second early warning monitoring models are used for monitoring the behavior data of P resource replacement execution platforms associated with each resource replacement scene in N resource replacement scenes, and M, N, P is a positive integer;

The generation module is used for generating resource replacement evaluation information according to the suspicious point behavior data under the condition that the suspicious point behavior data fed back by the target early warning monitoring model in the M second early warning monitoring models is acquired;

In a third aspect, an embodiment of the present application provides an information generating system, including:

the pre-credit management module is used for receiving a resource replacement request of a resource replacement requester;

the parameter management module is used for determining resource replacement management parameters according to the resource replacement request; configuring the first early warning monitoring model according to the resource replacement management parameters to obtain M second early warning monitoring models, wherein the second early warning monitoring models are used for monitoring behavior data of P resource replacement execution platforms associated with each resource replacement scene in N resource replacement scenes, and M, N, P is a positive integer;

the data export module is used for generating resource replacement evaluation information according to the suspicious point behavior data under the condition that the suspicious point behavior data fed back by the target early warning monitoring model in the M second early warning monitoring models is acquired; the suspicious point behavior data are data which meet the preset abnormal resource transfer behavior conditions in the target resource replacement execution platforms in the N resource replacement scenes; the resource replacement evaluation information is used for representing the risk degree of the resource replacement by the resource replacement requester;

The early warning prompt module is used for acquiring information of the working equipment for processing the suspicious point behavior data; and sending prompt information to the working equipment corresponding to the working equipment information, wherein the prompt information carries resource replacement evaluation information, and the prompt information is used for prompting a worker holding the working equipment and checking the resource replacement doubtful point data based on the early warning evaluation information.

In a fourth aspect, embodiments of the present application provide a computing device comprising: a processor and a memory storing computer program instructions;

the processor, when executing the computer program instructions, implements the information generation method as shown in the first party.

In a fifth aspect, an embodiment of the present application provides a computer storage medium having stored thereon computer program instructions which, when executed by a processor, implement the information generating method as described in the first aspect.

In a sixth aspect, an embodiment of the present application provides a chip, where the chip includes a processor and a communication interface, where the communication interface is coupled to the processor, and the processor is configured to execute a program or instructions to implement an information generating method as shown in the first aspect.

In a seventh aspect, embodiments of the present application provide a computer program product stored in a storage medium, the program product being executable by at least one processor to implement the information generating method as shown in the first aspect.

According to the information generation method, the device, the equipment and the storage medium provided by the embodiment of the application, under the condition that a resource replacement request of a resource replacement requester is received, a first early warning monitoring model is configured according to the resource replacement request to obtain M second early warning monitoring models, the second early warning monitoring models are used for monitoring behavior data of P resource replacement execution platforms associated with each resource replacement scene in N resource replacement scenes, M, N, P is a positive integer, and then under the condition that the suspicious point behavior data fed back by a target early warning monitoring model in the M second early warning monitoring models is obtained, resource replacement evaluation information is generated according to the suspicious point behavior data, wherein the suspicious point behavior data are data of the target resource replacement execution platforms in the P resource replacement execution platforms and satisfy preset abnormal resource transfer behavior conditions in the target resource replacement scenes in the N resource replacement scenes; the resource replacement evaluation information is used for representing the risk degree of the resource replacement by the resource replacement requester. Therefore, the automatic configuration of the first early warning monitoring model can be triggered according to the resource replacement request, manual participation is reduced, meanwhile, P resource execution platforms are monitored in different resource replacement scenes through N configured second early warning monitoring models, the risk monitoring of a single platform dimension can be realized, all the platforms can be integrated to realize the risk monitoring of a full platform, the wind control capability of resource replacement for a resource replacement requester platform is improved, the complete fund flow direction is monitored comprehensively, and the integrity of monitoring content is ensured. And the second early warning monitoring model is used for extracting the behavior data of the suspicious points for the early warning service of the resource replacement management platform, so that the risk of resource transfer of a resource replacement requester on each resource replacement execution platform can be more comprehensively estimated, and a worker can rapidly process abnormal events according to the behavior data of the suspicious points, thereby not only improving the accuracy of the early warning of the resource replacement, but also improving the early warning efficiency of the resource replacement.

Drawings

In order to more clearly illustrate the technical solution of the embodiments of the present application, the drawings that are needed to be used in the embodiments of the present application will be briefly described, and it is possible for a person skilled in the art to obtain other drawings according to these drawings without inventive effort.

Fig. 1 is a schematic structural diagram of an information generating system according to an embodiment of the present application;

FIG. 2 is a flowchart of an information generating method according to an embodiment of the present application;

FIG. 3 is one of interface diagrams of an embodiment of an information generating method according to an embodiment of the present application;

FIG. 4 is a second interface diagram of an embodiment of an information generating method according to the present application;

fig. 5 is a schematic structural view of an information generating apparatus according to an embodiment of the present application;

fig. 6 is a schematic structural diagram of a computer device according to an embodiment of the present application.

Detailed Description

Features and exemplary embodiments of various aspects of the present application will be described in detail below, and in order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be described in further detail below with reference to the accompanying drawings and the detailed embodiments. It should be understood that the particular embodiments described herein are meant to be illustrative of the application only and not limiting. It will be apparent to one skilled in the art that the present application may be practiced without some of these specific details. The following description of the embodiments is merely intended to provide a better understanding of the application by showing examples of the application.

It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises an element.

The technical scheme of the application obtains, stores, uses, processes and the like the data, which all meet the relevant regulations of national laws and regulations.

And, the service of resource replacement early warning can also be provided through a plurality of third party resource replacement service parties (such as non-financial institutions or third party resource replacement service parties and the like) bound with the resource replacement management platform. However, most third party resource replacement service parties are usually resource replacement early warning services which are independently developed, so that a worker of a resource replacement management platform cannot find the resource replacement risks of a plurality of third party resource replacement service parties at the first time, and the problems that follow-up progress is difficult, processing results cannot be marked in the resource replacement management platform, past processing records are difficult to statistically analyze and multiplex are existed. In addition, because the number of the resource replacement providers is large, the resource replacement scenes are various, the handling flow is simple, and the resource transfer period is quick, the risk of the resource replacement providers for providing the resource replacement service is higher than the potential risk of the resource replacement service provided by a resource replacement management platform (such as a financial institution).

Based on this, in order to solve the above-mentioned problems, an embodiment of the present application provides an information generating method, by receiving a resource replacement request of a resource replacement requester, determining a resource replacement management parameter, then configuring a first early warning monitoring model according to the resource replacement management parameter to obtain M second early warning monitoring models, where the second early warning monitoring models are used to monitor behavior data of P resource replacement execution platforms associated with each of N resource replacement scenes, M, N, P are all positive integers, and then generating resource replacement evaluation information according to the suspicious point behavior data when the suspicious point behavior data fed back by a target early warning monitoring model in the M second early warning monitoring models is obtained, where the suspicious point behavior data is data satisfying a preset abnormal resource transfer behavior condition in the target resource replacement scenes in the N resource replacement scenes; the resource replacement evaluation information is used for representing the risk degree of the resource replacement by the resource replacement requester. Therefore, the automatic configuration can be carried out on the resource replacement management parameters according to the resource replacement request, the manual participation is reduced, meanwhile, the P resource placement execution platforms are monitored in different resource replacement scenes through the second pre-warning monitoring models after N configurations, the risk monitoring of a single platform dimension can be realized, the risk monitoring of a whole platform can be realized by integrating all the platforms, the wind control capability of resource replacement on a resource replacement requester platform is improved, the complete fund flow direction is monitored comprehensively, and the integrity of monitoring content is ensured. And the second early warning monitoring model is used for extracting the behavior data of the suspicious points for the early warning service of the resource replacement management platform, so that the risk of resource transfer of a resource replacement requester on each resource replacement execution platform can be more comprehensively estimated, and a worker can rapidly process abnormal events according to the behavior data of the suspicious points, thereby not only improving the accuracy of the early warning of the resource replacement, but also improving the early warning efficiency of the resource replacement.

Based on the above, the embodiment of the application provides an information generation method, an information generation system, an information generation device and a storage medium.

The information generating method, system, device, server and storage medium according to the embodiments of the present application will be described in detail with reference to fig. 1 to 6, and it should be noted that these embodiments are not intended to limit the scope of the present disclosure.

Firstly, the embodiment of the application provides an information generation system based on a resource replacement management platform, which can support the parameterization configuration of early warning rules, and access the suspicious spot behavior data and the resource transfer behavior data of a plurality of resource replacement execution platforms (the resource replacement execution platforms can comprise a third party resource replacement service party, a financial institution and the like) to the resource replacement management platform through a universal interface so as to support the processing of the suspicious spot behavior data by the resource replacement management platform, the inquiry, the dispatch, the processing and the archiving of the management staff, the uploading of the investigation of resource replacement report description and other services, and the support of the staff to display the corresponding prompt information of the suspicious spot behavior data of the staff who processes the abnormal data through a computer (PC) end and a mobile end.

Based on this, an information generating system provided by an embodiment of the present application will be described with reference to fig. 1.

Fig. 1 is a schematic diagram of an information generating system according to an embodiment of the present application.

As shown in FIG. 1, the information generating system 10 may be provided in a resource replacement management platform, where the information generating system 10 may include a pre-credit management module 101, a parameter management module 102, a data export module 103/pre-alarm prompt module 104, and a report generation module 105.

It should be noted that, the information generating system 10 in the embodiment of the present application may be built based on JAVA programming language, springBoot micro-service architecture, mybatis persistent layer framework, shell script language, postgreSQL distributed database, and pls ql storage process technology.

In view of this, the pre-loan management module 101, the parameter management module 102, the data export module 103, and the early warning presentation module 104, which are referred to above, are described in detail below, respectively.

The pre-credit management module 101 is configured to receive a resource replacement request from a resource replacement requester. Wherein the resource replacement requester may be an individual or may be an individual entity, and is not limited herein.

A parameter management module 102, configured to determine a resource replacement management parameter according to the resource replacement request; and configuring the first early warning monitoring model according to the resource replacement management parameters to obtain M second early warning monitoring models, wherein the second early warning monitoring models are used for monitoring the behavior data of P resource replacement execution platforms associated with each resource replacement scene in the N resource replacement scenes, and M, N, P is a positive integer.

The resource replacement management parameter in the embodiment of the present application may include that the resource replacement request includes first information of a resource replacement requester, second information of a resource replacement provider, and third information of a resource replacement management party. The first information comprises a resource replacement requester name, a unified social credit code, a resource replacement nominal application scene, a resource replacement request resource amount and the like; the second information comprises a resource replacement provider name, an operation responsible person number, a money release flow monitoring mark and the like; the third information includes a resource replacement management and control name, a prompt information mark sent or not, a communication number, a residual resource amount of a resource replacement request resource amount, a staff name, a staff number, a staff working equipment number, a preset monitoring option of a resource replacement scene and the like.

The second early warning monitoring model in the embodiment of the application can be arranged on a resource replacement management platform or a resource replacement execution platform. If the first early warning monitoring model is arranged on the resource replacement execution platform, a second early warning monitoring model or a plurality of second early warning monitoring models can be arranged in each resource replacement execution platform so as to acquire suspicious point behavior data of each resource replacement execution platform.

The data export module 103 is configured to generate resource replacement evaluation information according to the suspicious point behavior data when the suspicious point behavior data fed back by the target early warning monitoring model in the M second early warning monitoring models is acquired; the suspicious point behavior data are data which meet the preset abnormal resource transfer behavior conditions in the target resource replacement execution platforms in the N resource replacement scenes; the resource replacement evaluation information is used for representing the risk degree of the resource replacement by the resource replacement requester. Further, the resource replacement evaluation information is specifically used for characterizing the risk degree of the resource replacement by the resource replacement requester in the target resource replacement scene.

The early warning prompt module 104 is used for acquiring information of the working equipment for processing the suspicious point behavior data; and sending prompt information to the working equipment corresponding to the working equipment information, wherein the prompt information carries resource replacement evaluation information, and the prompt information is used for prompting a worker holding the working equipment and checking the resource replacement doubtful point data based on the early warning evaluation information.

A report generation module 105 for receiving a first input from a user viewing a report; responding to the first input, and generating a resource replacement report of the target resource replacement execution platform according to the resource replacement evaluation information and the resource transfer behavior data of the target resource replacement execution platform in the target resource replacement scene; a resource replacement report is displayed.

Here, the report generating module 105 can provide the functions of on-line filling of the check report after the resource replacement for the staff of the resource replacement provider and the resource replacement management control, and the check report can be obtained at any time after being submitted to the master responsibility person for checking and then archived at the resource replacement management platform, so that the check report can be conveniently used for strengthening the management awareness after the on-line resource replacement of the resource replacement management platform, improving the system construction, promoting the whole flow closed-loop management of the resource replacement, and ensuring that the management work is in place after the resource replacement.

In summary, the embodiment of the application provides an information generation system for monitoring resource replacement early warning of a third party resource replacement service side, which not only considers risk monitoring of clients in a platform from a single platform dimension, but also integrates all the platforms to realize risk monitoring of all the client dimensions of the whole platform, thereby not only realizing risk monitoring of the single platform dimension, but also integrating all the platforms to realize risk monitoring of the whole platform, improving the wind control capability of resource replacement for a resource replacement requester platform, comprehensively monitoring the complete fund flow direction and ensuring the integrity of monitoring content. And the high-cohesion low-coupling is realized among the plurality of modules and the platform in the embodiment of the application, and each module has strong robustness and high expandability, thus providing a foundation for subsequent system upgrading.

It should be noted that, in order to screen out suspicious point behavior data from massive data, the information generating method provided by the embodiment of the application can be applied to monitoring suspicious point behavior data of a plurality of resource replacement execution platforms, such as public opinion scenes, invisible association scenes, fund flow scenes, enterprise abnormal information scenes, business ticket scenes, platform side paying scenes, and the like. It should be noted that, the application scenario of the information generating method provided by the embodiment of the present application may be configured by a user, that is, a new scenario may be added or a scenario that does not need to be focused may be deleted according to service changes of the resource replacement management platform and the resource replacement execution platform.

Based on the information generating system and the application scenario related to the foregoing, in order to better explain the foregoing, an information generating method provided by an embodiment of the present application is described below with reference to fig. 2 to 4.

First, the information generating method according to the embodiment of the present application is described in detail below with reference to fig. 2.

Fig. 2 is a flowchart of an information generating method according to an embodiment of the present application.

As shown in fig. 2, the information generation may be applied to the information generation system shown in fig. 1, and the information generation method may specifically include the steps of:

Step 210, under the condition that a resource replacement request of a resource replacement requester is received, configuring a first early warning monitoring model according to the resource replacement request to obtain M second early warning monitoring models, wherein the second early warning monitoring models are used for monitoring behavior data of P resource replacement execution platforms associated with each resource replacement scene in N resource replacement scenes, and M, N, P is a positive integer; step 220, under the condition that the suspicious point behavior data fed back by the target early warning monitoring model in the M second early warning monitoring models is obtained, generating resource replacement evaluation information according to the suspicious point behavior data; the suspicious point behavior data are data which meet the preset abnormal resource transfer behavior conditions in the target resource replacement execution platforms in the N resource replacement scenes; the resource replacement evaluation information is used for representing the risk degree of the resource replacement by the resource replacement requester.

Therefore, under the condition that a resource replacement request of a resource replacement requester is received, the first early warning monitoring model is automatically configured according to the resource replacement request, so that manual participation is reduced, P resource execution platforms are monitored in different resource replacement scenes through N configured second early warning monitoring models, the risk monitoring of a single platform dimension can be realized, all the platforms can be integrated to realize the risk monitoring of a whole platform, the wind control capability of resource replacement for the resource replacement requester platform is improved, the complete fund flow direction is monitored comprehensively, and the integrity of monitoring content is ensured. And the second early warning monitoring model is used for extracting the behavior data of the suspicious points for the early warning service of the resource replacement management platform, so that the risk of resource transfer of a resource replacement requester on each resource replacement execution platform can be more comprehensively estimated, and a worker can rapidly process abnormal events according to the behavior data of the suspicious points, thereby not only improving the accuracy of the early warning of the resource replacement, but also improving the early warning efficiency of the resource replacement.

The following describes the above steps in detail, as follows:

first, referring to step 210, in one or more possible embodiments, the resource replacement requester may be a person or an individual entity, not limited herein. Here, the resource replacement request may include first information of the resource replacement requester, and the first information may include information for characterizing an identity of the resource replacement requester and scenario information of the current resource replacement. The information of the identity of the resource replacement requester can comprise the name of the resource replacement requester, unified social credit codes and information of staff requesting resource transfer by the resource replacement requester; the context information of the current resource permutation may include a resource permutation nominal application context, a requested resource amount of the resource permutation, and the like.

Based on this, in one or more possible embodiments, this step 210 may specifically include:

step 2101, determining a resource replacement management parameter according to the resource replacement request;

and step 2102, configuring a first early warning monitoring model according to the resource replacement management parameters.

Further, in one or more possible embodiments, the resource replacement request includes first information of the resource replacement requester, second information of the resource replacement provider, and third information of the resource replacement management party, based on which the step 2101 may specifically include:

Importing the first information, the second information and the third information into a resource replacement management template;

under the condition of receiving the adjustment input of the resource replacement management template, updating the resource replacement management template according to the adjustment configuration management parameters corresponding to the adjustment input;

and determining each variable in the updated resource replacement management template as a resource replacement management parameter.

For example, the first information, the second information, and the third information may be imported into the resource replacement management template, and audited and adjusted by the user to update the resource replacement management template, and then each variable in the updated resource replacement management template is determined as a resource replacement management parameter.

Here, as shown in fig. 3, updating the variables in the resource replacement management template may include: date, partnership number, resource replacement requester name, unified social credit code, personal identity certificate, resource replacement nominal application scenario, resource replacement provider name of resource replacement request resource amount, business liability person number, money-placing flow monitoring sign, resource replacement management party name, whether prompt information sign, communication number, residual resource amount of resource replacement request resource amount, resource replacement management party staff name, resource replacement management party staff number, working equipment number of resource replacement management party staff, preset monitoring option of resource replacement scenario and the like. Here, each variable in the resource replacement management template may be updated by each received resource replacement request, or may be manually updated by a person.

And, referring to step 2102, in one or more possible embodiments, the M second early warning monitoring models include early warning monitoring models of a jth resource replacement scene in the N resource replacement scenes of an ith resource replacement execution platform in the P resource replacement execution platforms, where i e [1, P ], j e [1, N ], based on which step 230 may specifically include:

screening a first resource replacement management parameter from the resource replacement management parameters based on the platform function attribute information of the ith resource replacement execution platform;

acquiring target resource replacement management parameters from the first resource replacement management parameters according to scene attributes of the jth resource replacement scene;

training the first early warning monitoring model through the target resource replacement management parameters until a preset training condition is met, and obtaining the early warning monitoring model of the ith resource replacement execution platform in the jth resource replacement scene.

The N resource replacement scenarios in the embodiment of the present application may include an implicit resource replacement scenario and an actual fund flow scenario in which the target resource replacement execution platform uses the first resource. Wherein the invisible resource replacement scenario comprises at least one of the following: public opinion monitoring scenes, implicit association monitoring scenes, enterprise abnormal information monitoring, business ticket scene monitoring scenes and resource provider monitoring scenes.

Specifically, the embodiment of the application can obtain the data of the public opinion professional in batches through the connector assembly in the early morning of each day through the early warning monitoring model of the public opinion monitoring scene so as to monitor the public opinion professional.

According to the embodiment of the application, the invisible data in the related scene can be detected through the early warning monitoring model of the hidden association monitoring scene, so that the identity verification capability of the resource replacement requester is improved, the self-fusion of the resource replacement management platform is reduced to zero risk, the hidden association relation is early warned in advance, and the resource replacement requester is prevented from cheating resources through an intermediate mechanism.

The embodiment of the application can strengthen the management of the replaced resources after the resource replacement by the resource replacement management platform through the early warning detection model for monitoring the abnormal information of the enterprise, can early warn in time after abnormal change of the business operation condition of the enterprise, and can manage the replaced resources after the sub-platform resources of the resource replacement management platform are replaced.

The embodiment of the application can avoid the influence on user credit by delayed resource replacement and even incapability of clearing caused by abnormal business burst through the early warning monitoring model of the business ticket scene monitoring scene.

The embodiment of the application can strengthen the operation management of the resource replacement management platform through the early warning monitoring model of the resource replacement provider monitoring scene, and early warn the abnormal change condition of the resource replacement management platform enterprise in time.

It should be noted that, in the embodiment of the present application, the resource replacement execution platform may be a resource replacement provider, or may be a resource replacement requester, or may be a platform that executes and is related to resource replacement.

Then, referring to step 220, in one or more possible embodiments, the target resource replacement scenario includes an actual funding flow scenario for the target resource replacement execution platform using a first resource, the first resource being a resource of the resource replacement requested in the resource replacement request; the suspicious spot behavior data includes first suspicious spot behavior data, where the first suspicious spot behavior data is behavior data that the degree of abnormality of the transfer of the first resource by the target resource replacement execution platform in the actual resource flow scene is greater than or equal to a first preset degree of abnormality, based on which the step 220 specifically may include:

step 2201, calculating a first abnormal score of the target resource replacement execution platform in the actual fund flow scene according to the resource transfer behavior data and the first suspicious point behavior data of the target resource replacement execution platform in the actual fund flow scene;

at step 2202, resource replacement evaluation information is generated if the first anomaly score is greater than or equal to a preset threshold.

For example, if 10 ten thousand is transferred for company a, the actual fund flow scene is medical, the abnormality in the medical scene is detected, and if the abnormality occurs, the resource replacement evaluation information may include the abnormality in the medical scene of company a, and may also prompt the abnormality of other investment projects of company a.

Therefore, the closed-loop management of the cloud credit funds of the platform can be enhanced, and the authenticity and rationality monitoring capability of the transaction are improved.

Further, the resource replacement scene further comprises a hidden resource replacement scene associated with the actual fund flow scene, and the first resource is not used in the hidden resource replacement scene; the resource replacement suspicious spot data further includes second suspicious spot behavior data, where the second suspicious spot behavior data is behavior data with an abnormal degree of resource transfer of the target resource replacement execution platform in the implicit resource replacement scene being greater than or equal to a second preset abnormal degree, and based on this, the step 2202 may specifically include:

under the condition that the first abnormal score is larger than or equal to a preset threshold value, calculating a second abnormal score of the target resource replacement execution platform in the implicit resource replacement scene according to the resource transfer behavior data and the second suspicious point behavior data of the target resource replacement execution platform in the implicit resource replacement scene;

And generating resource replacement evaluation information according to the first abnormal score and the second abnormal score.

Illustratively, still referring to the above example, company a may score this resource replacement using public opinion related to medical treatment, resource replacement in other areas of company a, and information of the resource replacement provider.

Additionally, in one example, after step 220, the information generating method may further include:

acquiring information of working equipment for processing suspicious point behavior data;

and sending prompt information to the working equipment corresponding to the working equipment information, wherein the prompt information carries resource replacement evaluation information, and the prompt information is used for prompting a worker holding the working equipment and checking the resource replacement doubtful point data based on the early warning evaluation information.

As shown in fig. 4, the embodiment of the application can construct a monitoring system through different resource replacement scenes and second early warning monitoring models, support resource replacement management parameterization form configuration, monitor P resource execution platforms in different resource replacement scenes through N configured second early warning monitoring models, not only can realize risk monitoring of single platform dimensions, but also can integrate all platforms to realize risk monitoring of all platforms, thereby improving the wind control capability of resource replacement for a resource replacement requester platform, comprehensively monitoring complete fund flow direction, ensuring the integrity of monitoring content, so that staff can quickly process abnormal events according to suspicious behavior data, and therefore, not only can improve the accuracy of resource replacement early warning, but also can improve the resource replacement early warning efficiency.

Therefore, the embodiment of the application can provide the resource replacement management platform to display the suspicious behavior data monitored by the resource replacement management platform to the staff of the resource replacement management platform in preset time, such as the early morning.

In another example, after step 220, the information generating method may further include:

receiving a first input from a user to view a report;

responding to the first input, and generating a resource replacement report of the target resource replacement execution platform according to the resource replacement evaluation information and the resource transfer behavior data of the target resource replacement execution platform in the target resource replacement scene;

a resource replacement report is displayed.

Therefore, the embodiment of the application can provide the functions of on-line filling of the inspection report after the resource replacement for the staff of the resource replacement provider and the resource replacement management control, and can be used for filing and reserving the bottom on the resource replacement management platform after being submitted to the master responsibility person for verification, and can be exported at any time for consulting so as to strengthen the management awareness after the on-line resource replacement of the resource replacement management platform, perfect the system construction, promote the whole-flow closed-loop management of the resource replacement, and ensure that the management work is in place after the resource replacement.

Based on this, in order to describe the information generating method provided in the embodiment of the present application in detail, the following steps 1 to 8 are described.

Step 1: the service data early warning system receives a resource replacement request of a resource replacement requester, first information of the resource replacement requester, second information of a resource replacement provider and third information of a resource replacement management and control party in the resource replacement request.

Step 2: the service data early warning system imports the first information of the resource replacement requesting party, the second information of the resource replacement provider and the third information of the resource replacement management party into the resource replacement management template. As shown in fig. 3, the first information, the second information, and the third information may be a uniform social credit code, organization, name, etc. of the resource replacement requester.

Step 3: and under the condition that the service data early warning system receives the adjustment input of the user to the resource replacement management template, updating the resource replacement management template according to the adjustment configuration management parameter corresponding to the adjustment input, and determining each variable in the updated resource replacement management template as the resource replacement management parameter. As shown in fig. 3, each variable in its resource replacement management template may be determined as a resource replacement management parameter.

And 4, screening the first resource replacement management parameters from the resource replacement management parameters based on the platform function attribute information of the ith resource replacement execution platform under the condition that the M second early warning and monitoring models comprise the early warning and monitoring model of the ith resource replacement execution platform in the jth resource replacement scene in the N resource replacement scenes.

And step 5, the service data early warning system acquires the target resource replacement management parameters from the first resource replacement management parameters according to the scene attribute of the jth resource replacement scene.

And 6, training the first early warning monitoring model by the service data early warning system through the target resource replacement management parameters until a preset training condition is met, and obtaining an early warning monitoring model of the ith resource replacement execution platform in the jth resource replacement scene.

And 7, the service data early warning system receives suspicious point behavior data fed back by the target early warning monitoring model in the M second early warning monitoring models.

And 8, calculating a first abnormal score of the target resource replacement execution platform in the actual fund flow scene according to the resource transfer behavior data and the first suspicious point behavior data of the target resource replacement execution platform in the actual fund flow scene by the service data early warning system.

And 9, under the condition that the first abnormal score is larger than or equal to a preset threshold value, the service data early warning system calculates a second abnormal score of the target resource replacement execution platform in the implicit resource replacement scene according to the resource transfer behavior data and the second suspicious point behavior data of the target resource replacement execution platform in the implicit resource replacement scene.

And step 10, the service data early warning system generates resource replacement evaluation information according to the first abnormal score and the second abnormal score.

And 11, the service data early warning system acquires working equipment information for processing the suspicious spot behavior data, sends prompt information to the working equipment corresponding to the working equipment information, wherein the prompt information carries resource replacement evaluation information, and is used for prompting a worker holding the working equipment to check the resource replacement suspicious spot data based on the early warning evaluation information.

Step 12, as shown in fig. 5, the service data early warning system may receive a first input from a user to view a report; responding to the first input, and generating a resource replacement report of the target resource replacement execution platform according to the resource replacement evaluation information and the resource transfer behavior data of the target resource replacement execution platform in the target resource replacement scene; a resource replacement report is displayed.

Based on the same inventive concept, the application also provides an information generating device. This is described in detail with reference to fig. 5.

Fig. 5 is a schematic diagram of the structure of an information generating apparatus according to an embodiment of the present application.

In some embodiments of the present application, the information generating apparatus shown in fig. 5 may be provided in the information generating system.

As shown in fig. 5, the information generating apparatus 50 may specifically include:

the configuration module 501 is configured to configure the first early warning monitoring model according to the resource replacement request under the condition that the resource replacement request of the resource replacement requester is received, so as to obtain M second early warning monitoring models, where the second early warning monitoring models are used to monitor behavior data of P resource replacement execution platforms associated with each resource replacement scenario in the N resource replacement scenarios, and M, N, P is a positive integer;

the generating module 502 is configured to generate resource replacement evaluation information according to the suspicious point behavior data when the suspicious point behavior data fed back by the target early warning monitoring model in the M second early warning monitoring models is acquired;

The information generating device 50 in the embodiment of the present application will be described in detail below.

In one or more alternative embodiments, the information generating apparatus 50 in the embodiment of the present application may further include an import module, an update module, and a determination module; wherein, the liquid crystal display device comprises a liquid crystal display device,

An importing module, configured to import, when the resource replacement request includes first information of a resource replacement requester, second information of a resource replacement provider, and third information of a resource replacement management party, the first information, the second information, and the third information into a resource replacement management template;

the updating module is used for updating the resource replacement management template according to the adjustment configuration management parameters corresponding to the adjustment input under the condition of receiving the adjustment input of the resource replacement management template;

and the determining module is used for determining each variable in the updated resource replacement management template as a resource replacement management parameter.

In another or more alternative embodiments, the information generating apparatus 50 in the embodiment of the present application may further include a screening module, a first obtaining module, and a training module; wherein, the liquid crystal display device comprises a liquid crystal display device,

the screening module is used for screening a first resource replacement management parameter from the resource replacement management parameters based on the platform function attribute information of the ith resource replacement execution platform under the condition that the M second early warning monitoring models comprise the early warning monitoring model of the jth resource replacement execution platform in the N resource replacement scenes, i epsilon [1, P ] and j epsilon [1, N ];

The first acquisition module is used for acquiring target resource replacement management parameters from the first resource replacement management parameters according to the scene attribute of the jth resource replacement scene;

the training module is used for training the first early warning monitoring model through the target resource replacement management parameters until the preset training conditions are met, so that the early warning monitoring model of the ith resource replacement execution platform in the jth resource replacement scene is obtained.

In yet another or more alternative embodiments, the information generating apparatus 50 in an embodiment of the present application may further include a first calculation module; wherein, the liquid crystal display device comprises a liquid crystal display device,

the first computing module is used for using an actual fund flow scene of a first resource in the target resource replacement scene, wherein the actual fund flow scene comprises the target resource replacement execution platform, and the first resource is the resource of the resource replacement requested in the resource replacement request; the suspicious spot behavior data comprise first suspicious spot behavior data, wherein the first suspicious spot behavior data are first abnormal scores of the target resource replacement execution platform in an actual fund flow scene according to the resource transfer behavior data of the target resource replacement execution platform in the actual fund flow scene and the first suspicious spot behavior data under the condition that the abnormal degree of transferring the first resource in the actual resource flow scene is greater than or equal to the first preset abnormal degree;

The generating module 502 may be specifically configured to generate the resource replacement evaluation information when the first anomaly score is greater than or equal to a preset threshold.

In still another or more alternative embodiments, the information generating apparatus 50 in an embodiment of the present application may further include a second calculation module; wherein, the liquid crystal display device comprises a liquid crystal display device,

the second calculation module is used for calculating a second abnormal score of the target resource replacement execution platform in the implicit resource replacement scene according to the resource transfer behavior data and the second suspicious point behavior data of the target resource replacement execution platform in the implicit resource replacement scene under the condition that the first abnormal score is larger than or equal to a preset threshold value;

the generating module 502 may be specifically configured to generate resource replacement evaluation information according to the first anomaly score and the second anomaly score.

In still another or more alternative embodiments, the information generating apparatus 50 in the embodiment of the present application may further include a second obtaining module and a sending module; wherein, the liquid crystal display device comprises a liquid crystal display device,

the second acquisition module is used for acquiring the information of the working equipment for processing the suspicious point behavior data;

the sending module is used for sending prompt information to the working equipment corresponding to the working equipment information, wherein the prompt information carries resource replacement evaluation information, and the prompt information is used for prompting a worker holding the working equipment and checking the resource replacement suspicious point data based on the early warning evaluation information.

In still another or more alternative embodiments, the information generating apparatus 50 in the embodiment of the present application may further include a receiving module and a display module; wherein, the liquid crystal display device comprises a liquid crystal display device,

the receiving module is used for receiving a first input of a user viewing report;

the generating module 502 may be further configured to generate, in response to the first input, a resource replacement report of the target resource replacement executing platform according to the resource replacement evaluation information and resource transfer behavior data of the target resource replacement executing platform in the target resource replacement scenario;

and the display module is used for displaying the resource replacement report.

Under the condition that a resource replacement request of a resource replacement requester is received, configuring a first early warning monitoring model according to the resource replacement request to obtain M second early warning monitoring models, wherein the second early warning monitoring models are used for monitoring behavior data of P resource replacement execution platforms associated with each resource replacement scene in N resource replacement scenes, M, N, P is a positive integer, and then generating resource replacement evaluation information according to the suspicious point behavior data when the suspicious point behavior data fed back by a target early warning monitoring model in the M second early warning monitoring models is obtained, wherein the suspicious point behavior data is data of the target resource replacement execution platforms in the P resource replacement execution platforms and satisfies preset abnormal resource transfer behavior conditions in the target resource replacement scenes in the N resource replacement scenes; the resource replacement evaluation information is used for representing the risk degree of the resource replacement by the resource replacement requester. Therefore, the automatic configuration of the first early warning monitoring model can be triggered according to the resource replacement request, manual participation is reduced, meanwhile, P resource execution platforms are monitored in different resource replacement scenes through N configured second early warning monitoring models, the risk monitoring of a single platform dimension can be realized, all the platforms can be integrated to realize the risk monitoring of a full platform, the wind control capability of resource replacement for a resource replacement requester platform is improved, the complete fund flow direction is monitored comprehensively, and the integrity of monitoring content is ensured. And the second early warning monitoring model is used for extracting the behavior data of the suspicious points for the early warning service of the resource replacement management platform, so that the risk of resource transfer of a resource replacement requester on each resource replacement execution platform can be more comprehensively estimated, and a worker can rapidly process abnormal events according to the behavior data of the suspicious points, thereby not only improving the accuracy of the early warning of the resource replacement, but also improving the early warning efficiency of the resource replacement.

Based on the same inventive concept, the application also provides a computer device. This is described in detail with reference to fig. 6.

As shown in fig. 6, the computer device may include at least one of the following involved in the embodiment of the present application: electronic equipment and a server. The computer device may include, among other things, a processor 601 and a memory 602 storing computer program instructions.

In particular, the processor 601 may include a Central Processing Unit (CPU), or an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), or may be configured as one or more integrated circuits that implement embodiments of the present application.

Memory 602 may include mass storage for data or instructions. By way of example, and not limitation, memory 602 may include a Hard Disk Drive (HDD), floppy Disk Drive, flash memory, optical Disk, magneto-optical Disk, magnetic tape, or universal serial bus (Universal Serial Bus, USB) Drive, or a combination of two or more of the above. The memory 602 may include removable or non-removable (or fixed) media, where appropriate. Memory 602 may be internal or external to the integrated gateway disaster recovery device, where appropriate. In a particular embodiment, the memory 602 is a non-volatile solid state memory. In a particular embodiment, the memory 602 includes solid state storage (ROM). The ROM may be mask programmed ROM, programmable ROM (PROM), erasable PROM (EPROM), electrically Erasable PROM (EEPROM), electrically rewritable ROM (EAROM), or flash memory, or a combination of two or more of these, where appropriate.

The processor 601 implements any of the information generating methods of the above embodiments by reading and executing computer program instructions stored in the memory 602.

In one example, the computer device may also include a communication interface 603 and a bus 610. As shown in fig. 6, the processor 601, the memory 602, and the communication interface 603 are connected through a bus 610 and perform communication with each other.

The communication interface 603 is mainly used for implementing communication between each module, device, unit and/or apparatus in the embodiment of the present application.

Bus 610 includes hardware, software, or both, coupling components of the flow control device to each other. By way of example, and not limitation, the buses may include an Accelerated Graphics Port (AGP) or other graphics bus, an Enhanced Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), a HyperTransport (HT) interconnect, an Industry Standard Architecture (ISA) bus, an infiniband interconnect, a Low Pin Count (LPC) bus, a memory bus, a micro channel architecture (MCa) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a video electronics standards association local (VLB) bus, or other suitable bus, or a combination of two or more of the above. Bus 610 may include one or more buses, where appropriate. Although embodiments of the application have been described and illustrated with respect to a particular bus, the application contemplates any suitable bus or interconnect.

The computer device may perform the information generating method in the embodiment of the present application, thereby implementing the information generating method and apparatus described in connection with fig. 1 to 6.

In addition, in combination with the information generating method in the above embodiment, the embodiment of the present application may be implemented by providing a computer-readable storage medium. The computer readable storage medium has stored thereon computer program instructions; the computer program instructions, when executed by a processor, implement any of the information generation methods of the above embodiments.

It should be understood that the application is not limited to the particular arrangements and instrumentality described above and shown in the drawings. For the sake of brevity, a detailed description of known methods is omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method processes of the present application are not limited to the specific steps described and shown, and those skilled in the art can make various changes, modifications and additions, or change the order between steps, after appreciating the spirit of the present application.

The functional blocks shown in the above block diagrams may be implemented in hardware, software, firmware, or a combination thereof. When implemented in hardware, it may be, for example, an electronic circuit, an Application Specific Integrated Circuit (ASIC), suitable firmware, a plug-in, a function card, or the like. When implemented in software, the elements of the application are the programs or code segments used to perform the required tasks. The program or code segments may be stored in a machine readable medium or transmitted over transmission media or communication links by data signals carried in carrier waves. A "machine-readable medium" may include any medium that can store or transfer information. Examples of machine-readable media include electronic circuitry, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, radio Frequency (RF) links, and the like. The code segments may be downloaded via computer networks such as the internet, intranets, etc.

It should also be noted that the exemplary embodiments mentioned in this disclosure describe some methods or systems based on a series of steps or devices. However, the present application is not limited to the order of the above-described steps, that is, the steps may be performed in the order mentioned in the embodiments, or may be performed in a different order from the order in the embodiments, or several steps may be performed simultaneously.

In the foregoing, only the specific embodiments of the present application are described, and it will be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the systems, modules and units described above may refer to the corresponding processes in the foregoing method embodiments, which are not repeated herein. It should be understood that the scope of the present application is not limited thereto, and any equivalent modifications or substitutions can be easily made by those skilled in the art within the technical scope of the present application, and they should be included in the scope of the present application.

Claims

1. An information generation method, comprising:

Under the condition that the suspicious point behavior data fed back by the target early warning monitoring models in the M second early warning monitoring models are obtained, generating resource replacement evaluation information according to the suspicious point behavior data; the suspicious point behavior data are data which meet the preset abnormal resource transfer behavior conditions in the target resource replacement scenes in the N resource replacement scenes, wherein the suspicious point behavior data are target resource replacement execution platforms in the P resource replacement execution platforms; the resource replacement evaluation information is used for representing the risk degree of the resource replacement by the resource replacement requester.

2. The method of claim 1, wherein configuring the first early warning monitoring model according to the resource replacement request comprises:

determining a resource replacement management parameter according to the resource replacement request;

and configuring the first early warning monitoring model according to the resource replacement management parameters.

3. The method of claim 2, wherein the resource replacement request includes first information of the resource replacement requester, second information of a resource replacement provider, and third information of a resource replacement management party;

the determining a resource replacement management parameter according to the resource replacement request comprises the following steps:

under the condition of receiving an adjustment input of the resource replacement management template, updating the resource replacement management template according to an adjustment configuration management parameter corresponding to the adjustment input;

and determining each variable in the updated resource replacement management template as the resource replacement management parameter.

4. The method of claim 2, wherein the M second early warning monitoring models include an early warning monitoring model of a jth resource replacement scene in the N resource replacement scenes for an ith resource replacement execution platform in the P resource replacement execution platforms, i e [1, P ], j e [1, N ];

the configuring the first early warning monitoring model according to the resource replacement management parameters to obtain M second early warning monitoring models comprises the following steps:

screening a first resource replacement management parameter from the resource replacement management parameters based on platform function attribute information of the ith resource replacement execution platform;

acquiring target resource replacement management parameters from the first resource replacement management parameters according to the scene attribute of the j-th resource replacement scene;

And training the first early warning monitoring model through the target resource replacement management parameters until a preset training condition is met, so as to obtain the early warning monitoring model of the ith resource replacement execution platform in the jth resource replacement scene.

5. The method of claim 1, wherein the target resource replacement scenario comprises an actual funding flow scenario for the target resource replacement execution platform using a first resource, the first resource being a resource of a resource replacement requested in the resource replacement request; the suspicious point behavior data comprise first suspicious point behavior data, wherein the first suspicious point behavior data are behavior data of which the abnormality degree of the first resource is greater than or equal to a first preset abnormality degree when the target resource replacement execution platform transfers the first resource in the actual resource flow scene;

generating resource replacement evaluation information according to the suspicious point behavior data, wherein the resource replacement evaluation information comprises the following steps:

calculating a first abnormal score of the target resource replacement execution platform in the actual fund flow scene according to the resource transfer behavior data and the first suspicious point behavior data of the target resource replacement execution platform in the actual fund flow scene;

And generating resource replacement evaluation information under the condition that the first abnormal score is greater than or equal to a preset threshold value.

6. The method of claim 5, wherein the resource replacement scenario further comprises an implicit resource replacement scenario associated with the actual funds flow scenario, the implicit resource replacement scenario not using the first resource; the resource replacement suspicious point data further comprises second suspicious point behavior data, wherein the second suspicious point behavior data is behavior data with the abnormal degree of resource transfer of the target resource replacement execution platform in the implicit resource replacement scene being greater than or equal to a second preset abnormal degree;

and generating resource replacement evaluation information under the condition that the first abnormal score is greater than or equal to a preset threshold value, wherein the resource replacement evaluation information comprises the following components:

calculating a second abnormal score of the target resource replacement execution platform in the implicit resource replacement scene according to the resource transfer behavior data of the target resource replacement execution platform in the implicit resource replacement scene and the second suspicious point behavior data under the condition that the first abnormal score is larger than or equal to a preset threshold;

7. The method according to claim 1, wherein the method further comprises:

acquiring information of working equipment for processing the suspicious point behavior data;

and sending prompt information to the working equipment corresponding to the working equipment information, wherein the prompt information carries the resource replacement evaluation information, and the prompt information is used for prompting a worker holding the working equipment and checking the resource replacement doubtful point data based on the early warning evaluation information.

8. The method according to claim 1, wherein the method further comprises:

receiving a first input from a user to view a report;

and displaying the resource replacement report.

9. A service data early warning system, comprising:

The data export module is used for generating resource replacement evaluation information according to the suspicious point behavior data under the condition that the suspicious point behavior data fed back by the target early warning monitoring model in the M second early warning monitoring models is acquired; the suspicious point behavior data are data which meet the preset abnormal resource transfer behavior conditions in the target resource replacement scenes in the N resource replacement scenes, wherein the suspicious point behavior data are target resource replacement execution platforms in the P resource replacement execution platforms; the resource replacement evaluation information is used for representing the risk degree of the resource replacement by the resource replacement requester;

the early warning prompt module is used for acquiring the information of the working equipment for processing the suspicious point behavior data; and sending prompt information to the working equipment corresponding to the working equipment information, wherein the prompt information carries the resource replacement evaluation information, and the prompt information is used for prompting a worker holding the working equipment and checking the resource replacement doubtful point data based on the early warning evaluation information.

10. An information generating apparatus, comprising:

the suspicious point behavior data are data which meet the preset abnormal resource transfer behavior conditions in the target resource replacement scenes in the N resource replacement scenes, wherein the suspicious point behavior data are target resource replacement execution platforms in the P resource replacement execution platforms; the resource replacement evaluation information is used for representing the risk degree of the resource replacement by the resource replacement requester.

11. A computing device, comprising: a processor, and a memory communicatively coupled to the processor;

the memory stores computer-executable instructions;

the processor executes computer-executable instructions stored in the memory to implement the information generation method of claims 1-8.

12. A computer readable storage medium, characterized in that the computer readable storage medium has stored therein computer executable instructions, which when executed by a processor are adapted to implement the information generating method according to claims 1-8.

13. A computer program product comprising a computer program which, when executed by a processor, implements the information generating method of claims 1-8.