CN115619335A - Service data processing method and device, electronic equipment and storage medium - Google Patents

Abstract

The invention discloses a business data processing method, device, electronic equipment and storage medium, and relates to the technical field of computers. A specific implementation of the method includes: responding to the business efficiency supervision instruction, obtaining the corresponding business data and business type, so as to invoke the evaluation model corresponding to the business type, and evaluating the time required for checking the business data; obtaining the actual use time of the business data , in response to the fact that the actual usage time is greater than the required time, the verification agency that obtains the business data queries the corresponding verification nodes to determine the actual usage time of each verification node to verify the business data, and screens the abnormal verification nodes; obtains the verification information of the abnormal verification nodes , to call the preset exception reminder component, generate and send reminder information based on verification information and business data. This implementation manner can solve the problem of manually supervising the progress of business data and production, but this method requires a lot of time and cost, and has low efficiency.

Description

Method, device, electronic device and storage medium for business data processing

technical field

The present invention relates to the field of computer technology, and in particular to a method, device, electronic equipment and storage medium for business data processing.

Background technique

In the financial field, for businesses such as lending, business processing may cause abnormalities due to different reasons, so it is usually necessary to continuously check business data in order to find abnormalities in the business in a timely manner. With the increase of business volume, the amount of business data also increases, and the problem of untimely verification of business data often occurs, resulting in the failure to detect business anomalies in time. In the prior art, it is usually necessary to manually monitor the progress of business data and production, but this method requires more time and cost, and is less efficient.

Contents of the invention

In view of this, the embodiments of the present invention provide a method, device, electronic device and storage medium for business data processing, which can solve the problem of manually monitoring the progress of business data and production, but this method takes a lot of time. and cost, and the problem of low efficiency.

To achieve the above purpose, according to an aspect of the embodiments of the present invention, a method for processing service data is provided.

A method for processing business data according to an embodiment of the present invention includes: responding to a business efficiency supervision instruction, obtaining corresponding business data and business types, invoking the evaluation model corresponding to the business type, and assessing and checking the requirements of the business data time;

Acquiring the actual usage time of the business data, and in response to the fact that the actual usage time is greater than the required time, the verification agency that obtains the business data queries the corresponding verification nodes to determine that each verification node verifies the The actual usage time of business data, screening abnormal verification nodes;

Obtain the verification information of the abnormality verification node to call a preset exception reminder component, generate and send reminder information based on the verification information and the business data.

In one embodiment, also includes:

In response to the service quality supervision instruction, acquire business data whose verification result is normal, invoke a preset early warning strategy, and match with the normal business data, so as to determine the verification quality of the business data based on the matching result.

In yet another embodiment, based on the matching result, determining the business data verification quality includes:

In response to the matching result being a successful match, the non-abnormal business data is marked as abnormal, and the information of the verification user corresponding to the non-abnormal business data is acquired to generate a corresponding quality report.

In yet another embodiment, before responding to the business supervision instruction, it also includes:

Obtain verified historical business data, corresponding verification institutions and verification time information, generate feature vectors of the historical business data, input preset network models for training, and obtain the evaluation model.

In yet another embodiment, the screening abnormality checking node includes:

The verification level corresponding to the business data is obtained, and the time threshold corresponding to each verification node is queried, so as to screen abnormal verification nodes in combination with the actual usage time of the business data.

In yet another embodiment, generating reminder information based on the verification information and the business data includes:

Obtaining a reminder information template, determining required fields of the reminder information, extracting field values of the required fields from the verification information and the business data, and combining with the reminder information template to generate the reminder information.

In yet another embodiment, obtaining corresponding service data and service types includes:

Query the reminder rate of each institution, so as to obtain the corresponding business data and the business type of the business data based on the reminder rate.

To achieve the above object, according to another aspect of the embodiments of the present invention, an apparatus for processing service data is provided.

An apparatus for processing business data in an embodiment of the present invention includes: an acquisition unit, configured to acquire corresponding business data and business types in response to business efficiency supervision instructions, to call the evaluation model corresponding to the business type, and to evaluate and check the Time required for business data;

The determination unit is configured to obtain the actual usage time of the business data, and in response to the actual usage time being greater than the required time, the verification agency that obtains the business data queries the corresponding verification nodes to determine the The verification node verifies the actual usage time of the business data, and screens the abnormal verification nodes;

The sending unit is configured to obtain the verification information of the abnormality verification node, so as to invoke a preset exception reminder component, generate reminder information based on the verification information and the business data, and send it.

In one embodiment, the determining unit is further configured to:

In response to the service quality supervision instruction, acquire business data whose verification result is normal, invoke a preset early warning strategy, and match with the normal business data, so as to determine the verification quality of the business data based on the matching result.

In yet another embodiment, the determining unit is further configured to:

In response to the matching result being a successful match, the non-abnormal business data is marked as abnormal, and the information of the verification user corresponding to the non-abnormal business data is acquired to generate a corresponding quality report.

In yet another embodiment, the device further includes:

The training unit is used to acquire historical business data for verification, corresponding verification organization and verification time information, generate feature vectors of the historical business data, input a preset network model for training, and obtain the evaluation model.

In yet another embodiment, the determining unit is specifically configured to:

The verification level corresponding to the business data is obtained, and the time threshold corresponding to each verification node is queried, so as to screen abnormal verification nodes in combination with the actual usage time of the business data.

In yet another embodiment, the sending unit is specifically configured to:

Obtaining a reminder information template, determining required fields of the reminder information, extracting field values of the required fields from the verification information and the business data, and combining with the reminder information template to generate the reminder information.

In yet another embodiment, the acquisition unit is specifically configured to:

Query the reminder rate of each institution, so as to obtain the corresponding business data and the business type of the business data based on the reminder rate.

To achieve the above purpose, according to still another aspect of the embodiments of the present invention, an electronic device is provided.

An electronic device according to an embodiment of the present invention includes: one or more processors; a storage device for storing one or more programs, when the one or more programs are executed by the one or more processors, The one or more processors are made to implement the service data processing method provided by the embodiment of the present invention.

To achieve the above purpose, according to still another aspect of the embodiments of the present invention, a computer-readable medium is provided.

A computer-readable medium according to an embodiment of the present invention stores a computer program thereon, and when the program is executed by a processor, implements the service data processing method provided by the embodiment of the present invention.

To achieve the above object, according to still another aspect of the embodiments of the present invention, a computer program product is provided.

A computer program product in an embodiment of the present invention includes a computer program, and when the program is executed by a processor, the method for processing service data provided in the embodiment of the present invention is implemented.

An embodiment of the above-mentioned invention has the following advantages or beneficial effects: In the embodiment of the present invention, the evaluation model corresponding to the business type is preset to estimate the time required for business data verification, which can then be compared with the actual use time, and when determining the actual When the use time is long, the verification nodes can be further analyzed to screen out abnormal and production nodes, and then generate reminder information and report it. In this way, in the embodiment of the present invention, the verification of business data can be supervised through the evaluation model and Analyze from each verification node to determine the verification abnormality, thereby avoiding manual supervision, improving the supervision efficiency and accuracy, and reducing the required cost.

The further effects of the above-mentioned non-conventional alternatives will be described below in conjunction with specific embodiments.

Description of drawings

The accompanying drawings are used to better understand the present invention, and do not constitute improper limitations to the present invention. in:

FIG. 1 is a schematic diagram of a main flow of a method for processing business data according to an embodiment of the present invention;

FIG. 2 is a schematic diagram of a network structure of a preset neural network according to an embodiment of the present invention;

FIG. 3 is a schematic diagram of another main flow of a method for processing business data according to an embodiment of the present invention;

FIG. 4 is a schematic diagram of another main flow of a method for processing business data according to an embodiment of the present invention;

Fig. 5 is a schematic diagram of main units of a device for processing service data according to an embodiment of the present invention;

FIG. 6 is an exemplary system architecture diagram to which the embodiment of the present invention can be applied;

FIG. 7 is a schematic structural diagram of a computer system suitable for implementing an embodiment of the present invention.

detailed description

Exemplary embodiments of the present invention are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present invention to facilitate understanding, and they should be regarded as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the invention. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

It should be noted that, in the case of no conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other. The acquisition, storage, use, and processing of data in the technical solution of this application all comply with the relevant provisions of national laws and regulations.

An embodiment of the present invention provides a business data processing system, which can be used in a scenario of supervising business data verification. Specifically, it can be used in the scenario of supervising the verification of business data such as loans.

Taking the business data as the loan business data as an example, post-loan early warning is an important process in the loan business. Its purpose is to control risks and ensure that the loan principal and interest can be recovered on time and in full; monitor the flow of loan funds to ensure that the loan funds can be legal, Therefore, the verification of loan business data has become an important issue. Therefore, in order to supervise the verification process of loan business data, a business data processing system is proposed in the embodiment of the present invention. Since the corresponding business data bureaus in each structure are not the same, there will be differences in the verification of the corresponding business data of each institution. Usually, in order to facilitate the verification of loan business data, the verification process can be divided into multiple verification nodes, that is, to For each verification post (such as assignment post, inspection post, and audit post), multiple business personnel can be set up in different posts to realize the verification task corresponding to the verification node. The business data verification process can be as follows: a loan business data is usually identified by the monitoring model, and then the verification task of the corresponding loan business data is automatically sent to the assigned position of the corresponding institution through a batch script according to the institution number and verification level of the loan business , after the assigned position has passed the information preliminary review and the whitelist exception processing, the loan business data verification task can be assigned to the inspection post for verification, and the verification result will be fed back to the review post of the institution or the superior institution for review, and the business data that is verified to be correct will be verified. . In the embodiment of the present invention, the verified business data can be supervised, so as to timely discover the suspicious business data that cannot be checked accurately.

An embodiment of the present invention provides a method for processing business data, which can be executed by a business data processing system, as shown in Figure 1, the method includes:

S101: Responding to a business efficiency supervision instruction, obtain corresponding business data and business type, so as to call an evaluation model corresponding to the business type, and estimate the time required for checking the business data.

Wherein, the business efficiency supervision instruction is used to instruct to supervise the checking efficiency of business data. In this step, the business efficiency supervision instruction can be automatically triggered by the business data processing system, or can be sent by an external system. When some business data is checked for supervision, it can also send business efficiency supervision instructions to the business data processing system.

In the embodiment of the present invention, the business efficiency supervision instruction can carry the business data to complete the verification, so as to supervise and process the verification of these business data, that is, the verified business data that needs to be supervised, so the corresponding business data can be obtained from the business efficiency supervision instruction. business data. Or, after the business efficiency supervision command is triggered in this step, it can be obtained from the database storing the business data. After obtaining the service data, the corresponding service type can be obtained from the information of the pre-stored service data.

Specifically, in the embodiment of the present invention, after the supervision and verification business data is abnormal, the verification of the business data will be reminded, so the reminder rate of each institution can be determined based on the results of historical supervision, and then in order to facilitate the business data of each institution For the supervision of verification efficiency, the corresponding business data and the business type of business data can be obtained based on the reminder rate of each institution. For example, when the agency's reminder rate is higher, the greater the amount of business data that can be obtained from the agency and its products, such as all the business data verified by the agency can be obtained for supervision; when the agency's reminder rate is lower, the agency can obtain The smaller the amount of business data produced, that is, to conduct spot checks on all business data verified by the agency to obtain business data.

It should be noted that in the embodiment of the present invention, an evaluation model corresponding to each business type may be preset to evaluate the time required for checking business data, that is, the time required for checking a piece of business data. Since the verification efficiency is supervised in the embodiment of the present invention, the required time for business data verification can be estimated through an evaluation model to evaluate the verification efficiency.

In some embodiments, before performing this step, the verified historical business data, the corresponding verification organization and verification time information can be obtained, the feature vector of the historical business data can be generated, and the preset network model can be input for training to obtain the evaluation Model.

The preset network model may be a neural network model. Specifically, in the embodiment of the present invention, characteristics such as the total duration of historical service data verification, verification institutions, verification nodes, and time used by each verification node for verification can be counted to generate feature vectors. Input the feature vector into the preset network model to train the model and obtain the evaluation model. As shown in FIG. 2 , it may be a schematic diagram of a network structure of a preset neural network.

S102: Obtain the actual usage time of the business data, and in response to the fact that the actual usage time is greater than the required time, the verification agency that obtains the business data queries the corresponding verification nodes to determine the actual usage time of the business data verified by each verification node, and screens for abnormal verification node.

Among them, the actual usage time means checking the actual usage time of the business data to compare it with the estimated required time. If the actual usage time is not greater than the required time, it means that there is no abnormality in the time for checking business data; if the actual usage time is greater than the required time, it means that the time for checking business data is abnormal, that is, there is a delay, so you can get it at this time The business data verification agency queries the corresponding verification nodes to determine the actual usage time of each verification node to verify the business data, and then screens abnormal verification nodes.

The abnormal verification node indicates a verification node that takes a long time, so the actual usage time of the verification node to check the business data is longer, so the actual usage time of the business data verification is longer than the evaluation time.

Specifically, in the embodiment of the present invention, since the complexity of different business data is different, the time required for verification is also different, so the verification level of each business data can be set, and the time threshold corresponding to each verification node can be set for each verification registration , that is, the threshold of the time used by the verification node to verify the business data, and then the verification level corresponding to the business data can be obtained, and then the time threshold corresponding to each verification node under the verification level can be queried, so as to check the actual usage time of the business data of each verification node The comparison is performed, so that the abnormal verification nodes can be screened, that is, the verification nodes whose usage time is greater than the time threshold.

S103: Obtain the verification information of the abnormality verification node, so as to invoke a preset exception reminder component, generate and send reminder information based on the verification information and business data.

Among them, after the abnormal verification node is determined, the verification information of the abnormal verification node can be obtained, such as the verification business personnel information, etc., so as to generate reminder information through the abnormal reminder component, and then send it to remind the business personnel to check that the efficiency is abnormal.

Specifically, in this step, the reminder information template can be preset, so that the required fields for generating reminder information can be determined based on the reminder information template, and then the field values of the required fields can be extracted from the verification information and business data to replace the reminder information In the template, reminder information is generated.

In the embodiment of the present invention, the evaluation model corresponding to the business type is preset to estimate the time required for business data verification, which can be compared with the actual use time. When the actual use time is determined to be long, the verification node can be further analyzed. To screen out abnormal and production nodes, and then generate reminder information and report it, so in the embodiment of the present invention, the verification of business data can be supervised through the evaluation model and analyzed from each verification node to determine the verification abnormality, so that Avoid manual supervision, improve the efficiency and accuracy of supervision, and reduce the required cost.

Below in conjunction with the embodiment shown in Figure 1, the method for processing business data in the embodiment of the present invention is specifically described, as shown in Figure 3, the method includes:

S301: In response to the business efficiency supervision instruction, query the reminder rate of each institution, so as to obtain the corresponding business data and the business type of the business data based on the reminder rate.

S302: Call the evaluation model corresponding to the business type, and evaluate the time required for checking the business data.

S303: Obtain the actual usage time of the service data.

S304: In response to the fact that the actual usage time is not greater than the required time, determine that the verification result is passed.

S305: In response to the fact that the actual usage time is greater than the required time, the verification agency that obtains the business data queries the corresponding verification nodes to determine the actual usage time of each verification node to verify the business data, and screens abnormal verification nodes.

S306: Obtain verification information of the abnormality verification node.

S307: Obtain a reminder information template, determine required fields of the reminder information, extract field values of the required fields from the verification information and business data, combine them with the reminder information template, generate reminder information and send it.

It should be noted that the data processing principle in the embodiment of the present invention is the same as the corresponding data processing principle shown in FIG. 1 , and will not be repeated here.

Based on the embodiment shown in Figure 1, the present invention provides another method for processing business data, as shown in Figure 4, the method includes:

S401: In response to a service quality supervision instruction, acquire service data whose verification result is no abnormality.

Wherein, the business instruction supervision instruction is used to instruct to supervise the verification instruction of the business data, that is, to supervise the accuracy of the verification of the business data. In this step, the business instruction supervision instruction can be automatically triggered by the business data processing system, or can be sent by an external system. When some business data is checked for quality supervision, it can also send business quality supervision instructions to the business data processing system.

Since in the embodiment of the present invention, for the supervision of product quality and memory, it is usually required to perform abnormality detection again on the business data whose verification result is no abnormality, so in this step, the business data whose verification result is no abnormality can be obtained.

S402: Invoke a preset early warning strategy to match with the business data without exception.

In the embodiment of the present invention, an early warning strategy may be set in advance, that is, an early warning strategy for abnormalities in business data, so as to combine non-abnormal business data with the early warning strategy. If the matching is unsuccessful, it means that the verification of the business data is accurate; if the matching is successful, it means that the verification of the business data is inaccurate.

Specifically, taking the business data as the loan business data as an example, the early warning strategy can include: the borrowers of multiple loans for the same early warning task are remote customers; the borrowers of multiple loans for the same early warning task are migrant workers or farmers; multiple loans for the same early warning task The borrower is a credit reference whiteboard client; the work unit of the borrower for multiple loans for the same early warning task does not match the credit registration information; the borrower for multiple loans for the same early warning task is the same as the spouse’s work unit; the borrower for multiple loans for the same early warning task is the same unit; Borrowers with multiple loans in the early warning task have the same work unit but different phone numbers; borrowers with multiple loans in the same early warning task have inflated income; borrowers with multiple loans in the same early warning task have private loans; borrowers with multiple loans in the same early warning task have excessive Overdraft or low credit.

S403: Based on the matching result, determine the verification quality of the service data.

Among them, in response to the matching result being a successful match, indicating that the non-abnormal business data matches at least one of the early warning strategies, the non-abnormal business data is marked as abnormal, and the information of the verification user corresponding to the non-abnormal business data is obtained to generate a corresponding quality report ; In response to the matching result being a matching failure, determine the business data verification quality as passing.

It should be noted that, in the embodiment of the present invention, a corresponding identifier can be set for each early warning strategy, and after the matching result is a successful match, the identifier of the successfully matched early warning strategy can be used as a mark of the service data.

In the embodiment of the present invention, by performing quality supervision on business data without abnormalities after verification, the verification instructions of business data are further supervised, thereby improving the verification quality of business data.

It should be noted that, in the embodiment of the present invention, the business data processing system may include a front-end display interface and a back-end server, and the back-end interface and the front-end interface are designed and realized by Java language, which can carry large-scale requests and return them in the form of messages The corresponding processing results have better scalability and robustness. The front-end interface can provide business personnel with functional modules including suspicious point information query, task detail query, task verification operation, task status, etc., which can fully satisfy business personnel's process operations for business data verification and supervision, and is designed for different organizations and positions. The corresponding permissions ensure that only designated business personnel can browse and operate business data and operation permissions, which improves the work efficiency and safety of business personnel in the early warning business.

In order to solve the problems existing in the prior art, an embodiment of the present invention provides a business data processing device 500, as shown in Figure 5, the device 500 includes:

The acquiring unit 501 is configured to acquire corresponding business data and business type in response to the business efficiency supervision instruction, so as to invoke the evaluation model corresponding to the business type, and evaluate and check the time required for checking the business data;

The determining unit 502 is configured to obtain the actual usage time of the business data, and in response to the actual usage time being greater than the required time, the verification agency that obtains the business data queries the corresponding verification nodes to determine the The verification node verifies the actual usage time of the business data, and screens the abnormal verification nodes;

The sending unit 503 is configured to acquire the verification information of the abnormality verification node, so as to call a preset exception reminder component, generate reminder information based on the verification information and the business data, and send it.

It should be understood that, the manner of implementing the embodiment of the present invention is the same as that of the embodiment shown in FIG. 1 , and details are not repeated here.

In one embodiment, the determining unit 502 is further configured to:

In response to the service quality supervision instruction, acquire business data whose verification result is normal, invoke a preset early warning strategy, and match with the normal business data, so as to determine the verification quality of the business data based on the matching result.

In yet another embodiment, the determining unit 502 is further configured to:

In response to the matching result being a successful match, the non-abnormal business data is marked as abnormal, and the information of the verification user corresponding to the non-abnormal business data is acquired to generate a corresponding quality report.

In yet another embodiment, the device 500 further includes:

The training unit is used to acquire historical business data for verification, corresponding verification organization and verification time information, generate feature vectors of the historical business data, input a preset network model for training, and obtain the evaluation model.

In yet another embodiment, the determining unit 502 is specifically configured to:

The verification level corresponding to the business data is obtained, and the time threshold corresponding to each verification node is queried, so as to screen abnormal verification nodes in combination with the actual usage time of the business data.

In yet another embodiment, the sending unit 503 is specifically configured to:

Obtaining a reminder information template, determining required fields of the reminder information, extracting field values of the required fields from the verification information and the business data, and combining with the reminder information template to generate the reminder information.

In yet another embodiment, the acquiring unit 501 is specifically configured to:

Query the reminder rate of each institution, so as to obtain the corresponding business data and the business type of the business data based on the reminder rate.

It should be understood that the manner of implementing the embodiment of the present invention is the same as that of the embodiment shown in FIGS. 1 , 3 , and 4 , and details are not repeated here.

In the embodiment of the present invention, the evaluation model corresponding to the business type is preset to estimate the time required for business data verification, which can be compared with the actual use time. When the actual use time is determined to be long, the verification node can be further analyzed. To screen out abnormal and production nodes, and then generate reminder information and report it, so in the embodiment of the present invention, the verification of business data can be supervised through the evaluation model and analyzed from each verification node to determine the verification abnormality, so that Avoid manual supervision, improve the efficiency and accuracy of supervision, and reduce the required cost.

According to the embodiment of the present invention, the embodiment of the present invention also provides an electronic device and a readable storage medium.

The electronic device in the embodiment of the present invention includes: at least one processor; and a memory connected in communication with the at least one processor; wherein, the memory stores instructions executable by the one processor, and the instructions are executed by The at least one processor executes, so that the at least one processor executes the service data processing method provided by the embodiment of the present invention.

Fig. 6 shows an exemplary system architecture 600 to which the method for processing service data or the device for processing service data according to the embodiment of the present invention can be applied.

As shown in FIG. 6 , a system architecture 600 may include terminal devices 601 , 602 , and 603 , a network 604 and a server 605 . The network 604 is used as a medium for providing communication links between the terminal devices 601 , 602 , 603 and the server 605 . Network 604 may include various connection types, such as wires, wireless communication links, or fiber optic cables, among others.

Users can use terminal devices 601 , 602 , 603 to interact with server 605 via network 604 to receive or send messages and the like. Various client applications may be installed on the terminal devices 601, 602, and 603.

The terminal devices 601, 602, 603 may be, but are not limited to, smart phones, tablet computers, laptop computers, desktop computers, and the like.

The server 605 may be a server providing various services, and the server may analyze and process received data such as product information query requests, and feed back the processing results (such as product information—just an example) to the terminal device.

It should be noted that the business data processing method provided by the embodiment of the present invention is generally executed by the server 605 , and correspondingly, the business data processing device is generally set in the server 605 .

It should be understood that the numbers of terminal devices, networks and servers in FIG. 6 are only illustrative. According to the implementation needs, there can be any number of terminal devices, networks and servers.

Referring now to FIG. 7 , it shows a schematic structural diagram of a computer system 700 suitable for implementing the embodiment of the present invention. The computer system shown in FIG. 7 is only an example, and should not limit the functions and scope of use of this embodiment of the present invention.

As shown in FIG. 7 , a computer system 700 includes a central processing unit (CPU) 701 that can operate according to a program stored in a read-only memory (ROM) 702 or a program loaded from a storage section 708 into a random-access memory (RAM) 703 Instead, various appropriate actions and processes are performed. In the RAM 703, various programs and data necessary for the operation of the system 700 are also stored. The CPU 701 , ROM 702 , and RAM 703 are connected to each other via a bus 704 . An input/output (I/O) interface 705 is also connected to the bus 704 .

The following components are connected to the I/O interface 705: an input section 706 including a keyboard, a mouse, etc.; an output section 707 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker; a storage section 708 including a hard disk, etc. and a communication section 709 including a network interface card such as a LAN card, a modem, or the like. The communication section 709 performs communication processing via a network such as the Internet. A drive 710 is also connected to the I/O interface 705 as needed. A removable medium 711 such as a magnetic disk, optical disk, magneto-optical disk, semiconductor memory, etc. is mounted on the drive 710 as necessary so that a computer program read therefrom is installed into the storage section 708 as necessary.

In particular, according to the disclosed embodiments of the present invention, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, the disclosed embodiments of the present invention include a computer program product, which includes a computer program carried on a computer-readable medium, where the computer program includes program codes for executing the methods shown in the flowcharts. In such an embodiment, the computer program may be downloaded and installed from a network via communication portion 709 and/or installed from removable media 711 . When this computer program is executed by a central processing unit (CPU) 701, the above-described functions defined in the system of the present invention are performed.

It should be noted that the computer-readable medium shown in the present invention may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. A computer readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to, electrical connections with one or more wires, portable computer diskettes, hard disks, random access memory (RAM), read-only memory (ROM), erasable Programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination of the above. In the present invention, a computer-readable storage medium may be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. In the present invention, however, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, in which computer-readable program codes are carried. Such propagated data signals may take many forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the foregoing. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, which can send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device. . Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

The flowchart and block diagrams in the Figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in a flowchart or block diagram may represent a unit, a program segment, or a portion of code that includes one or more logical functions for implementing specified functions. executable instructions. It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or they may sometimes be executed in the reverse order, depending upon the functionality involved. It should also be noted that each block in the block diagrams or flowchart illustrations, and combinations of blocks in the block diagrams or flowchart illustrations, can be implemented by a dedicated hardware-based system that performs the specified function or operation, or can be implemented by a A combination of dedicated hardware and computer instructions.

The units involved in the description in the embodiments of the present invention may be implemented by means of software or by means of hardware. The described units may also be set in a processor, for example, it may be described as: a processor includes an acquiring unit, a determining unit, and a sending unit. Wherein, the names of these units do not constitute a limitation on the unit itself under certain circumstances, for example, the acquisition unit may also be described as a "unit with a service data acquisition function".

As another aspect, the present invention also provides a computer-readable medium. The computer-readable medium may be contained in the device described in the above embodiments, or it may exist independently without being assembled into the device. The above-mentioned computer-readable medium carries one or more programs, and when the above-mentioned one or more programs are executed by one device, the device is made to execute the service data processing method provided by the present invention.

As another aspect, the present invention also provides a computer program product, including a computer program, and when the program is executed by a processor, the transaction data processing method provided by the embodiment of the present invention is implemented.

The above specific implementation methods do not constitute a limitation to the protection scope of the present invention. It should be apparent to those skilled in the art that various modifications, combinations, sub-combinations and substitutions may occur depending on design requirements and other factors. Any modifications, equivalent replacements and improvements made within the spirit and principles of the present invention shall be included within the protection scope of the present invention.

Claims (15)

1. A method for processing service data, comprising:

responding to a service efficiency supervision instruction, acquiring corresponding service data and a service type to call an evaluation model corresponding to the service type, and evaluating and checking the required time of the service data;

acquiring the actual service time of the service data, responding to the actual service time being longer than the required time, acquiring a checking mechanism of the service data, inquiring corresponding checking nodes to determine the actual service time of the service data checked by the checking nodes, and screening abnormal checking nodes;

and acquiring the checking information of the abnormal checking node to call a preset abnormal handling component, and generating handling information based on the checking information and the service data and sending the handling information.

2. The method of claim 1, further comprising:

and responding to a service quality supervision instruction, acquiring service data with an abnormal checking result, calling a preset early warning strategy, matching the preset early warning strategy with the abnormal service data, and determining the service data checking quality based on the matching result.

3. The method of claim 2, wherein determining a quality of service data check based on the matching result comprises:

and in response to the matching result being successful, marking the abnormal business data as abnormal, and acquiring information of the checking user corresponding to the abnormal business data to generate a corresponding quality report.

4. The method of claim 1, wherein prior to responding to the traffic supervision instruction, further comprising:

and acquiring the checked historical service data, the corresponding checking mechanism and the checking time information, generating a characteristic vector of the historical service data, inputting a preset network model for training, and obtaining the evaluation model.

5. The method of claim 1, wherein the screening the outlier check node comprises:

and acquiring the check grade corresponding to the service data, and inquiring a time threshold corresponding to each check node so as to screen abnormal check nodes by combining the actual use time of the service data.

6. The method of claim 1, wherein generating the sponsoring information based on the audit information and the business data comprises:

and acquiring an information template of the handling information, determining a field required by the handling information, extracting a field value of the required field from the checking information and the service data to combine with the information template of the handling information to generate the handling information.

7. The method of claim 1, wherein obtaining corresponding service data and service type comprises:

and inquiring the handling rate of each organization to obtain corresponding service data and the service type of the service data based on the handling rate.

8. An apparatus for processing service data, comprising:

the acquisition unit is used for responding to a service efficiency supervision instruction, acquiring corresponding service data and service types, calling an evaluation model corresponding to the service types, and evaluating and checking the required time of the service data;

a determining unit, configured to obtain actual usage time of the service data, obtain, in response to the actual usage time being longer than the required time, a checking mechanism for the service data, query corresponding checking nodes, to determine actual usage time for checking the service data by each checking node, and screen an abnormal checking node;

and the sending unit is used for acquiring the checking information of the abnormal checking node, calling a preset abnormal handling component, generating handling information based on the checking information and the service data and sending the handling information.

9. The apparatus of claim 8, wherein the determining unit is further configured to:

and responding to a service quality supervision instruction, acquiring service data with an abnormal checking result, calling a preset early warning strategy, matching the preset early warning strategy with the abnormal service data, and determining the service data checking quality based on the matching result.

10. The apparatus of claim 9, wherein the determining unit is further configured to:

and in response to the matching result being successful, marking the abnormal business data as abnormal, and acquiring information of the checking user corresponding to the abnormal business data to generate a corresponding quality report.

11. The apparatus of claim 8, further comprising:

and the training unit is used for acquiring the checked historical service data, the corresponding checking mechanism and the checking time information, generating a feature vector of the historical service data, inputting a preset network model for training, and obtaining the evaluation model.

12. The apparatus according to claim 8, wherein the determining unit is specifically configured to:

and acquiring the check grade corresponding to the service data, and inquiring a time threshold corresponding to each check node so as to screen abnormal check nodes by combining the actual use time of the service data.

13. An electronic device, comprising:

one or more processors;

a storage device for storing one or more programs,

the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method recited in any of claims 1-7.

14. A computer-readable medium, on which a computer program is stored, which, when being executed by a processor, carries out the method according to any one of claims 1-7.

15. A computer program product comprising a computer program, characterized in that the program, when executed by a processor, implements the method according to any one of claims 1-7.

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