CN112884435A - Service data processing method, device, system, computer equipment and storage medium - Google Patents
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Abstract
The application relates to a business data processing method, a business data processing device, a computer device and a storage medium. The method comprises the following steps: acquiring current service data; sending the current service data to a service auditing machine model, and controlling the current service data through the service auditing machine model to obtain abnormal service data in the current service data; pushing the abnormal business data to a wind control platform, and monitoring the abnormal business data through the wind control platform to obtain a business monitoring result; and receiving a service monitoring result. By adopting the method, the auditing of the service data is not required to be carried out manually, so that the service data analysis is more accurate and more comprehensive.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to a method, an apparatus, a system, a computer device, and a storage medium for processing service data.
Background
Internal audit is always an important component of an enterprise supervision system, under the large premise of high-speed development of an internet information digitization technology, internal control audit internet thinking innovation transformation is urgent, traditional internal control audit is not enough to support massive information generated in a datamation era, and financial account table data are difficult to realize full analysis only by manpower and some limited tools such as EXCEL and the like, so that various indexes of final report statistics have certain errors, and the analysis is not comprehensive.
Disclosure of Invention
Therefore, in order to solve the above technical problems, it is necessary to provide a service data processing method, an apparatus, a system, a computer device, and a storage medium, which do not require manual auditing of service data and enable more accurate and comprehensive service data analysis.
A method for processing service data comprises the following steps:
acquiring current service data;
sending the current service data to a service auditing machine model, and controlling the current service data through the service auditing machine model to obtain abnormal service data in the current service data;
pushing the abnormal business data to a wind control platform, and monitoring the abnormal business data through the wind control platform to obtain a business monitoring result;
and receiving a service monitoring result.
In one embodiment, obtaining current service data includes: acquiring basic service data; receiving a basic service data calling request sent by an execution robot, sending basic service data to the execution robot according to the basic service data calling request so that the execution robot processes the basic service data to obtain current service data, and returning; and receiving the current service data.
In one embodiment, obtaining current service data includes: acquiring original service data; receiving an original service data calling request sent by an execution robot, sending original service data to the execution robot according to the original service data calling request, so that the execution robot loads corresponding target service associated data to a target service system through a data loading request, acquires the target service associated data returned by the target service system, and sends the target service associated data to a physical storage platform for storage; sending a service data acquisition request to a physical storage platform so that the physical storage platform returns current service data according to the service data acquisition request; and receiving the current service data.
In one embodiment, the sending the current service data to the service auditing machine model, and controlling the current service data through the service auditing machine model to obtain abnormal service data in the current service data includes: and sending the current service data to the service auditing machine model, distributing the current service data through the service auditing machine model, distributing the current service data to each service auditing machine sub-model to obtain abnormal sub-service data corresponding to each service auditing machine sub-model output, and generating abnormal service data corresponding to the current service data according to each abnormal sub-service data.
In one embodiment, before sending the current business data to the business auditing machine model, the method further includes: carrying out full-scale analysis calculation on the current service data to obtain target service data; and determining the target service data as current service data, and sending the current service data to the service auditing machine model in the executing step.
A business data processing system, the system comprising:
the service data processing platform is used for acquiring current service data and sending the current service data to the service auditing platform where the service auditing machine model is located;
the service auditing platform is used for controlling the current service data through the service auditing machine model to obtain abnormal service data in the current service data and sending the abnormal service data to the wind control platform;
the wind control platform is used for monitoring the abnormal service data to obtain a service monitoring result and sending the service monitoring result to the service data processing platform;
and the service data processing platform is used for receiving the service monitoring result.
A service data processing apparatus, the apparatus comprising:
the current service data acquisition module is used for acquiring current service data;
the current service data sending module is used for sending the current service data to the service auditing machine model, and controlling the current service data through the service auditing machine model to obtain abnormal service data in the current service data;
the abnormal business data pushing module is used for pushing the abnormal business data to the wind control platform, and monitoring the abnormal business data through the wind control platform to obtain a business monitoring result;
and the service monitoring result receiving module is used for receiving the service monitoring result.
A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the computer program:
acquiring current service data;
sending the current service data to a service auditing machine model, and controlling the current service data through the service auditing machine model to obtain abnormal service data in the current service data;
pushing the abnormal business data to a wind control platform, and monitoring the abnormal business data through the wind control platform to obtain a business monitoring result;
and receiving a service monitoring result.
A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out the steps of:
acquiring current service data;
sending the current service data to a service auditing machine model, and controlling the current service data through the service auditing machine model to obtain abnormal service data in the current service data;
pushing the abnormal business data to a wind control platform, and monitoring the abnormal business data through the wind control platform to obtain a business monitoring result;
and receiving a service monitoring result.
The service data processing method, the device, the system, the computer equipment and the storage medium obtain the current service data; sending the current service data to a service auditing machine model, and controlling the current service data through the service auditing machine model to obtain abnormal service data in the current service data; pushing the abnormal business data to a wind control platform, and monitoring the abnormal business data through the wind control platform to obtain a business monitoring result; and receiving a service monitoring result. Therefore, the current business data is processed by combining the business audit machine model and the wind control platform, abnormal business data in the current business data can be found out and monitored, the whole process does not need manual intervention and is not influenced by artificial subjective consciousness, the accuracy of business data analysis is improved, the current business data is processed by the business audit model, the comprehensiveness of business data analysis is improved, and certain business data are prevented from missing analysis.
Drawings
FIG. 1 is a diagram of an application environment of a method for processing service data in one embodiment;
FIG. 2 is a flow chart illustrating a method for processing service data according to an embodiment;
FIG. 3 is a flowchart illustrating a current service data obtaining step in one embodiment;
FIG. 4 is a schematic flow chart of the current service data acquisition step in another embodiment;
FIG. 5 is a flow chart illustrating a method for processing service data according to an embodiment;
FIG. 6 is a block diagram of a business data processing system in one embodiment;
FIG. 7 is a block diagram of a business data processing system in one embodiment;
FIG. 8 is a schematic diagram of a business data processing method in one embodiment;
FIG. 9 is a schematic diagram of a business audit machine model in one embodiment;
FIG. 10 is a block diagram showing the construction of a service data processing apparatus according to an embodiment;
FIG. 11 is a diagram illustrating an internal structure of a computer device in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The service data processing method provided by the application can be applied to the application environment shown in fig. 1. Wherein the terminal 102 communicates with the server 104 via a network. The terminal 102 may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, and portable wearable devices, and the server 104 may be implemented by an independent server or a server cluster formed by a plurality of servers. The terminal 102 may include, among other things, a business auditing machine model.
Specifically, the terminal 102 obtains current service data, sends the current service data to the service auditing machine model, and controls the current service data through the service auditing machine model to obtain abnormal service data in the current service data. Further, the abnormal service data is pushed to the server 104, and the server 104 monitors the abnormal service data to obtain a service monitoring result and returns the service monitoring result to the terminal 102. Finally, the terminal 102 receives the service monitoring result.
In an embodiment, as shown in fig. 2, a method for processing service data is provided, which is described by taking the method as an example for being applied to the terminal in fig. 1, and includes the following steps:
Here, the current service data is service data currently being processed, and the service data may be all data related to the service, such as financial data, and the like, and may be determined according to different application scenarios. The current business data can be collected by a business data collection platform, and the business data collection platform can be used for collecting all business data and determining the collected business data as the current business data.
In another embodiment, after the collected service data is collected, the collected service data may be filtered, specifically, the collected service data may be filtered according to a preset filtering rule, and the filtered service data is determined as the current service data.
And step 204, sending the current service data to the service auditing machine model, and controlling the current service data through the service auditing machine model to obtain abnormal service data in the current service data.
The business auditing machine model is used for auditing business data, and auditing is an action of collecting and analyzing evidence of data to evaluate financial condition of enterprise, and making conclusion and report about correlation degree between data and general acknowledged criteria. The business auditing machine model can be trained through the existing machine learning, and the business auditing machine model refers to the trained business auditing machine model.
The service auditing machine model controls the current service data, and can be controlled through each service auditing machine submodel of the service auditing machine model, each service auditing machine submodel corresponds to different functional tasks, for example, the service auditing machine submodel is used for distributing the current service data, the service auditing machine submodel is used for pushing abnormal service data, and the service auditing machine submodel is used for processing the current service data.
Specifically, after the current service data is obtained, the current service data is sent to the service auditing machine model, that is, the current service data is used as input data of the service auditing machine model, and the current service data is processed by the service auditing machine model, specifically, the current service data is distributed to each service auditing machine sub-model, the current service data is processed by different service auditing machine sub-models to obtain corresponding abnormal sub-service data, and finally, the abnormal service data corresponding to the current service data is generated according to each abnormal sub-service data.
In another embodiment, the business auditing machine model can comprise the interaction of the pushing, distribution, processing, feedback and generation stages of auditors and the distribution, processing and feedback stages of audited personnel. After receiving the current business data, the business auditing machine model pushes the current business data to corresponding auditors, distributes the current business data to each current auditor through the auditors, processes and feeds back the distributed current business data through the current auditors, and finally generates abnormal business data. The current auditor can also push the feedback to the audited personnel, and the audited personnel can further process and feed the feedback so as to generate the final abnormal business data.
And step 206, pushing the abnormal service data to a wind control platform, and monitoring the abnormal service data through the wind control platform to obtain a service monitoring result.
After the abnormal business data are obtained, the abnormal business data are pushed to a wind control platform, wherein the wind control platform is used for performing risk control, and the risk control is an action that a risk manager takes various measures and methods to eliminate or reduce various possibilities of occurrence of risk events or reduce loss caused by the occurrence of the risk events. Specifically, after obtaining the abnormal business data, the business auditing machine model pushes the abnormal business data to the wind control platform, carries out risk monitoring on the abnormal business data through the wind control platform, outputs a business monitoring result, and then returns the business monitoring result. The service monitoring result may be used for risk assessment of the service data, or processing the service data according to the service monitoring result, and the like, and may be specifically processed according to a service requirement, a product requirement, or an actual application scenario.
In the service data processing method, current service data is acquired; sending the current service data to a service auditing machine model, and controlling the current service data through the service auditing machine model to obtain abnormal service data in the current service data; pushing the abnormal business data to a wind control platform, and monitoring the abnormal business data through the wind control platform to obtain a business monitoring result; and receiving a service monitoring result. Therefore, the current business data is processed by combining the business audit machine model and the wind control platform, abnormal business data in the current business data can be found out and monitored, the whole process does not need manual intervention and is not influenced by artificial subjective consciousness, the accuracy of business data analysis is improved, the current business data is processed by the business audit model, the comprehensiveness of business data analysis is improved, and certain business data are prevented from missing analysis.
In one embodiment, as shown in fig. 3, acquiring current service data includes:
And 304, receiving a basic service data calling request sent by the execution robot, sending basic service data to the execution robot according to the basic service data calling request, so that the execution robot processes the basic service data to obtain current service data, and returning.
The basic service data refers to service data before the current service data, and may be service data just collected, and the current service data is service data after the basic service data is processed. Specifically, the basic service data may be determined according to service requirements, product requirements, or actual application scenarios, or may also be collected by a service data collection system.
The execution robot is an application program which simulates the manual operation mode of an end user in a computer and provides another mode to enable the manual operation process of the end user to be automated, and the execution robot can be an RPA robot (robot process automation). The execution robot sends a basic service data calling request to the execution main body, wherein the basic service data calling request is used for requesting to call basic service data, and the basic service data can be obtained according to the basic service data calling request. The basic service data calling request carries a basic service data identifier, receives the basic service data calling request sent by the execution robot, and sends matched basic service data to the execution robot according to the basic service data calling request.
Further, after receiving the basic service data, the execution robot processes the basic service data to obtain the current service data, where the processing of the basic service data may be filtering the basic service data, and determining the filtered basic service data as the current service data. The interaction between the execution main body and the execution robot is determined according to an actual application scene, a product requirement or a service requirement, the execution robot processes basic service data to obtain current service data, and the execution robot processes the service data before inputting the current service data into the service auditing machine model to coordinate and control the service data.
In one embodiment, as shown in fig. 4, acquiring current service data includes:
The original service data refers to service data before the current service data, and may be service data just collected, and the current service data is service data after the original service data is processed. Specifically, the original service data may be determined according to service requirements, product requirements, or actual application scenarios, or may also be collected by a service data collection system.
The execution robot is an application program which simulates the manual operation mode of an end user in a computer and provides another mode to enable the manual operation process of the end user to be automated, and the execution robot can be an RPA robot (robot process automation). The execution robot sends an original service data calling request to the execution main body, wherein the original service data calling request is used for requesting to call original service data, and the original service data can be obtained according to the original service data calling request. The original service data calling request carries an original service data identifier, receives the original service data calling request sent by the execution robot, and sends matched original service data to the execution robot according to the original service data calling request.
Further, after receiving the original service data, the execution robot may load target service associated data matched with the original service data to the target service system, specifically, the execution robot may send a data loading request to the target service system, where the data loading request requests the target service system to load the target service associated data matched with the original service data, the data loading request carries the original service data, and after receiving the data loading request, the target service system searches for the target service associated data matched with the original service data according to the data loading request, and returns the target service associated data to the execution robot.
The execution robot does not have a storage function, so that the execution robot needs to send the target service associated data to the physical storage platform for storage after receiving the target service associated data. The physical storage platform has a storage function, can perform related storage on the service data, and obtains and calls the service data from the physical storage platform when the service data is required to be applied subsequently.
Specifically, the execution main body may obtain current service data from the physical storage platform, specifically, the execution main body may send a service data obtaining request to the physical storage platform, where the service data obtaining request is used to request to obtain the current service data, the service data obtaining request may carry a current service data identifier, and after receiving the service data obtaining request, the physical storage platform may search for current service data matched with the current service data identifier according to the service data obtaining request, and return the current service data to the execution main body. And finally, the execution main body receives the current service data returned by the physical storage platform.
In one embodiment, the sending the current service data to the service auditing machine model, and controlling the current service data through the service auditing machine model to obtain abnormal service data in the current service data includes: and sending the current service data to the service auditing machine model, distributing the current service data through the service auditing machine model, distributing the current service data to each service auditing machine sub-model to obtain abnormal sub-service data corresponding to each service auditing machine sub-model output, and generating abnormal service data corresponding to the current service data according to each abnormal sub-service data.
The business auditing machine model is used for auditing business data, and auditing is an action of collecting and analyzing evidence of data to evaluate financial condition of enterprise, and making conclusion and report about correlation degree between data and general acknowledged criteria. The business auditing machine model can be trained through the existing machine learning, and the business auditing machine model refers to the trained business auditing machine model.
The service auditing machine model comprises a plurality of service auditing machine submodels, the service auditing machine model controls current service data, and can be controlled through each service auditing machine submodel of the service auditing machine model, each service auditing machine submodel corresponds to different functional tasks, for example, the service auditing machine submodel is used for distributing current service data, the service auditing machine submodel is used for pushing abnormal service data, and the service auditing machine submodel is used for processing current service data and the like.
Specifically, after the current service data is obtained, the current service data is sent to the service auditing machine model, that is, the current service data is used as input data of the service auditing machine model, and the current service data is processed by the service auditing machine model, specifically, the current service data is distributed to each service auditing machine sub-model, the current service data is processed by different service auditing machine sub-models to obtain corresponding abnormal sub-service data, and finally, the abnormal service data corresponding to the current service data is generated according to each abnormal sub-service data.
In one embodiment, as shown in fig. 5, before sending the current business data to the business auditing machine model, the method further includes:
and 502, carrying out full-scale analysis and calculation on the current service data to obtain target service data.
Before sending the current service data to the service auditing machine model, the current service data needs to be subjected to full-scale analysis and calculation, namely, the current service data is converted into full-scale service data, namely target service data. The total analysis calculation includes incremental calculation, and the total analysis calculation may use an existing total analysis calculation method, which is not limited herein. And further, determining the target service data after the full analysis and calculation as current service data, and executing the step to send the current service data to the service auditing machine model. Therefore, after the current service data is obtained, the full-scale analysis calculation is carried out on the current service data, and the full-scale analysis calculated full-scale service data is used as service audit data, so that the accuracy of the service audit data is improved and the service audit data is not influenced by irrelevant factors.
It should be understood that, although the steps in the above-described flowcharts are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in the above-described flowcharts may include multiple sub-steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of performing the sub-steps or the stages is not necessarily sequential, but may be performed alternately or alternatingly with other steps or at least a portion of the sub-steps or stages of other steps.
In one embodiment, as shown in FIG. 6, a business data processing system 600 is provided in which:
the service data processing platform 602 is configured to obtain current service data, and send the current service data to a service auditing platform 604 where the service auditing machine model is located.
And the service auditing platform 604 is configured to control the current service data through the service auditing machine model, obtain abnormal service data in the current service data, and send the abnormal service data to the wind control platform 606.
And the wind control platform 606 is configured to monitor the abnormal service data, obtain a service monitoring result, and send the service monitoring result to the service data processing platform 602.
And the service data processing platform 602 is configured to receive a service monitoring result.
In one embodiment, as shown in FIG. 7, business data processing system 600 further includes:
the service data processing platform 602 is configured to obtain basic service data, and send the basic service data to a service data execution platform 608 where the execution robot is located.
The service data execution platform 608 is configured to send a basic service data invocation request to the service data processing platform 602.
The service data processing platform 602 is configured to send basic service data to the service data execution platform 608 according to the basic service data call request.
The service data execution platform 608 is configured to process the basic service data, obtain current service data, and return the current service data to the service data processing platform 602.
The service data processing platform 602 is configured to receive current service data.
In an actual service auditing application scenario, as shown in fig. 8, fig. 8 shows a schematic diagram of a service data processing method in an embodiment, the schematic diagram shown in fig. 8 includes a plurality of application scenarios, which are respectively described by the following application scenarios, where service data is a device where a service data collection system is located, an IDE platform is a service data processing platform, an RPA robot is an execution robot, an SAP system is a target service system, an FTP is a physical storage platform, an auditing robot is a device where a service auditing machine model is located, and a wind control system is a wind control platform:
the application scene one: business data flow into the business data processing platform through the business data collecting system, the business data processing platform directly sends the flowing business data to the business auditing machine model, the received business data are controlled and processed through the business auditing machine model to obtain abnormal business data, the abnormal business data are pushed to the wind control platform, the abnormal business data are monitored through the wind control platform to obtain a business monitoring result, and the business monitoring result can be returned to the business data processing platform.
Application scenario two: the service data flow into the service data processing platform through the service data collection system, the execution robot sends a service data calling request to the service data processing platform, the execution robot acquires relevant service data according to the service data calling request, the execution robot can process the service data to obtain current service data, and the execution robot returns the current service data to the service data processing platform. The service data processing platform directly sends the current service data to the service auditing machine model, the service auditing machine model controls and processes the received service data to obtain abnormal service data, the abnormal service data is pushed to the wind control platform, the wind control platform monitors the abnormal service data to obtain a service monitoring result, and the service monitoring result can be returned to the service data processing platform.
And in the third application scenario, service data flows into the service data processing platform through the service data collection system, the execution robot sends a service data calling request to the service data processing platform, the execution robot acquires related service data according to the service data calling request, the execution robot can send a data loading request to a target service system, the target service system loads related service data related to the service data through the data loading request and returns the related service data to the execution robot, the execution robot sends the related service data to the physical storage platform for storage because the execution robot has no storage function, when the current service data needs to be acquired subsequently, the service data processing platform sends a data acquisition request to the physical storage platform, and the physical storage platform returns the corresponding service data according to the request.
As shown in fig. 9, fig. 9 is a schematic diagram illustrating a business auditing machine model in an embodiment, where the business auditing machine model may include interaction of pushing, distributing, processing, and feedback stages of auditors and interaction of distributing, processing, and feedback stages of auditors. After receiving the current business data, the business auditing machine model pushes the current business data to corresponding auditors, distributes the current business data to each current auditor through the auditors, processes and feeds back the distributed current business data through the current auditors, and finally generates abnormal business data. The current auditor can also push the feedback to the audited personnel, and the audited personnel can further process and feed the feedback so as to generate the final abnormal business data.
In one embodiment, as shown in fig. 10, there is provided a service data processing apparatus 1000, including: a current service data obtaining module 1002, a current service data sending module 1004, an abnormal service data pushing module 1006, and a service monitoring result receiving module 1008, wherein:
a current service data obtaining module 1002, configured to obtain current service data.
And a current service data sending module 1004, configured to send the current service data to the service auditing machine model, and control the current service data through the service auditing machine model to obtain abnormal service data in the current service data.
The abnormal service data pushing module 1006 is configured to push the abnormal service data to the wind control platform, and monitor the abnormal service data through the wind control platform to obtain a service monitoring result.
And a service monitoring result receiving module 1008, configured to receive a service monitoring result.
In an embodiment, the current service data obtaining module 1002 is further configured to obtain basic service data, receive a basic service data calling request sent by an execution robot, and send the basic service data to the execution robot according to the basic service data calling request, so that the execution robot processes the basic service data to obtain current service data, and returns the current service data to receive the current service data.
In an embodiment, the current service data obtaining module 1002 is further configured to obtain original service data, receive an original service data call request sent by the execution robot, send the original service data to the execution robot according to the original service data call request, so that the execution robot loads corresponding target service associated data to the target service system through a data loading request for the original service data, obtain target service associated data returned by the target service system, send the physical storage platform for storage, send a service data obtaining request to the physical storage platform, so that the physical storage platform returns the current service data according to the service data obtaining request, and receive the current service data.
In an embodiment, the current service data sending module 1004 is further configured to send the current service data to the service auditing machine model, distribute the current service data through the service auditing machine model, distribute the current service data to each service auditing machine sub-model, obtain abnormal sub-service data corresponding to each service auditing machine sub-model output, and generate abnormal service data corresponding to the current service data according to each abnormal sub-service data.
In an embodiment, the service data processing apparatus 1000 is further configured to perform full analysis calculation on the current service data to obtain target service data, determine the target service data as the current service data, and perform the step of sending the current service data to the service auditing machine model.
For specific limitations of the service data processing apparatus, reference may be made to the above limitations of the service data processing method, which is not described herein again. The modules in the business data processing device can be wholly or partially implemented by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as shown in fig. 11. The computer device includes a processor, a memory, a network interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a business data processing method. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.
Those skilled in the art will appreciate that the architecture shown in fig. 11 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the computer program: acquiring current service data; sending the current service data to a service auditing machine model, and controlling the current service data through the service auditing machine model to obtain abnormal service data in the current service data; pushing the abnormal business data to a wind control platform, and monitoring the abnormal business data through the wind control platform to obtain a business monitoring result; and receiving a service monitoring result.
In one embodiment, the processor, when executing the computer program, further performs the steps of: acquiring basic service data; receiving a basic service data calling request sent by an execution robot, sending basic service data to the execution robot according to the basic service data calling request so that the execution robot processes the basic service data to obtain current service data, and returning; and receiving the current service data.
In one embodiment, the processor, when executing the computer program, further performs the steps of: acquiring original service data; receiving an original service data calling request sent by an execution robot, sending original service data to the execution robot according to the original service data calling request, so that the execution robot loads corresponding target service associated data to a target service system through a data loading request, acquires the target service associated data returned by the target service system, and sends the target service associated data to a physical storage platform for storage; sending a service data acquisition request to a physical storage platform so that the physical storage platform returns current service data according to the service data acquisition request; and receiving the current service data.
In one embodiment, the processor, when executing the computer program, further performs the steps of: and sending the current service data to the service auditing machine model, distributing the current service data through the service auditing machine model, distributing the current service data to each service auditing machine sub-model to obtain abnormal sub-service data corresponding to each service auditing machine sub-model output, and generating abnormal service data corresponding to the current service data according to each abnormal sub-service data.
In one embodiment, the processor, when executing the computer program, further performs the steps of: carrying out full-scale analysis calculation on the current service data to obtain target service data; and determining the target service data as current service data, and sending the current service data to the service auditing machine model in the executing step.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of: acquiring current service data; sending the current service data to a service auditing machine model, and controlling the current service data through the service auditing machine model to obtain abnormal service data in the current service data; pushing the abnormal business data to a wind control platform, and monitoring the abnormal business data through the wind control platform to obtain a business monitoring result; and receiving a service monitoring result.
In one embodiment, the processor, when executing the computer program, further performs the steps of: acquiring basic service data; receiving a basic service data calling request sent by an execution robot, sending basic service data to the execution robot according to the basic service data calling request so that the execution robot processes the basic service data to obtain current service data, and returning; and receiving the current service data.
In one embodiment, the processor, when executing the computer program, further performs the steps of: acquiring original service data; receiving an original service data calling request sent by an execution robot, sending original service data to the execution robot according to the original service data calling request, so that the execution robot loads corresponding target service associated data to a target service system through a data loading request, acquires the target service associated data returned by the target service system, and sends the target service associated data to a physical storage platform for storage; sending a service data acquisition request to a physical storage platform so that the physical storage platform returns current service data according to the service data acquisition request; and receiving the current service data.
In one embodiment, the processor, when executing the computer program, further performs the steps of: and sending the current service data to the service auditing machine model, distributing the current service data through the service auditing machine model, distributing the current service data to each service auditing machine sub-model to obtain abnormal sub-service data corresponding to each service auditing machine sub-model output, and generating abnormal service data corresponding to the current service data according to each abnormal sub-service data.
In one embodiment, the processor, when executing the computer program, further performs the steps of: carrying out full-scale analysis calculation on the current service data to obtain target service data; and determining the target service data as current service data, and sending the current service data to the service auditing machine model in the executing step.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A method for processing service data, the method comprising:
acquiring current service data;
sending the current business data to a business auditing machine model, and controlling the current business data through the business auditing machine model to obtain abnormal business data in the current business data;
pushing the abnormal business data to a wind control platform, and monitoring the abnormal business data through the wind control platform to obtain a business monitoring result;
and receiving the service monitoring result.
2. The method of claim 1, wherein the obtaining current traffic data comprises:
acquiring basic service data;
receiving a basic service data calling request sent by an execution robot, sending the basic service data to the execution robot according to the basic service data calling request, so that the execution robot processes the basic service data to obtain current service data, and returning;
and receiving the current service data.
3. The method of claim 1, wherein the obtaining current traffic data comprises:
acquiring original service data;
receiving an original service data calling request sent by an execution robot, sending the original service data to the execution robot according to the original service data calling request, so that the execution robot loads corresponding target service associated data to a target service system through a data loading request on the original service data, acquiring target service associated data returned by the target service system, and sending a physical storage platform for storage;
sending a service data acquisition request to the physical storage platform so that the physical storage platform returns current service data according to the service data acquisition request;
and receiving the current service data.
4. The method of claim 1, wherein the sending the current service data to a service auditing machine model, and controlling the current service data through the service auditing machine model to obtain abnormal service data in the current service data comprises:
and sending the current service data to a service auditing machine model, distributing the current service data through the service auditing machine model, distributing the current service data to each service auditing machine sub-model to obtain abnormal sub-service data corresponding to each service auditing machine sub-model output, and generating abnormal service data corresponding to the current service data according to each abnormal sub-service data.
5. The method of claim 1, wherein prior to sending the current business data to a business auditing machine model, further comprising:
carrying out full-scale analysis calculation on the current service data to obtain target service data;
and determining the target service data as current service data, and sending the current service data to a service auditing machine model.
6. A business data processing system, the system comprising:
the service data processing platform is used for acquiring current service data and sending the current service data to a service auditing platform where the service auditing machine model is located;
the service auditing platform is used for controlling the current service data through a service auditing machine model to obtain abnormal service data in the current service data and sending the abnormal service data to the wind control platform;
the wind control platform is used for monitoring the abnormal service data to obtain a service monitoring result and sending the service monitoring result to the service data processing platform;
and the service data processing platform is used for receiving the service monitoring result.
7. The system of claim 6, further comprising:
the service data processing platform is used for acquiring basic service data and sending the basic service data to a service data execution platform where the execution robot is located;
the service data execution platform is used for sending a basic service data calling request to the service data processing platform;
the service data processing platform is used for sending the basic service data to the service data execution platform according to the basic service data calling request;
the service data execution platform is used for processing the basic service data to obtain current service data and returning the current service data to the service data processing platform;
and the service data processing platform is used for receiving the current service data.
8. A service data processing apparatus, characterized in that the apparatus comprises:
the current service data acquisition module is used for acquiring current service data;
the current service data sending module is used for sending the current service data to a service auditing machine model, and controlling the current service data through the service auditing machine model to obtain abnormal service data in the current service data;
the abnormal business data pushing module is used for pushing the abnormal business data to a wind control platform, and monitoring the abnormal business data through the wind control platform to obtain a business monitoring result;
and the service monitoring result receiving module is used for receiving the service monitoring result.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the steps of the method of any of claims 1 to 5 are implemented when the computer program is executed by the processor.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 5.
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| CN202110184716.1A CN112884435A (en) | 2021-02-10 | 2021-02-10 | Service data processing method, device, system, computer equipment and storage medium |
| CA3148071A CA3148071A1 (en) | 2021-02-10 | 2022-02-08 | Business data processing method, device, system, computer equipment and storage medium |
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| CN114281553A (en) * | 2022-03-08 | 2022-04-05 | 开泰远景信息科技有限公司 | Business processing method and system and cloud platform |
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| CN108269066A (en) * | 2018-02-07 | 2018-07-10 | 平安科技（深圳）有限公司 | A kind of remote auditing method and system |
| CN111340290A (en) * | 2020-02-25 | 2020-06-26 | 广东卓维网络有限公司 | Auditing system with monitoring and early warning functions |
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| CN114281553A (en) * | 2022-03-08 | 2022-04-05 | 开泰远景信息科技有限公司 | Business processing method and system and cloud platform |
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