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

Service data processing method and device, electronic equipment and storage medium Download PDF

Info

Publication number
CN115619335A
CN115619335A CN202211191046.7A CN202211191046A CN115619335A CN 115619335 A CN115619335 A CN 115619335A CN 202211191046 A CN202211191046 A CN 202211191046A CN 115619335 A CN115619335 A CN 115619335A
Authority
CN
China
Prior art keywords
service data
checking
service
abnormal
information
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202211191046.7A
Other languages
Chinese (zh)
Inventor
陈尚志
朱祖恩
陈浩欣
魏晓聪
邱馥
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
China Construction Bank Corp
CCB Finetech Co Ltd
Original Assignee
China Construction Bank Corp
CCB Finetech Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by China Construction Bank Corp, CCB Finetech Co Ltd filed Critical China Construction Bank Corp
Priority to CN202211191046.7A priority Critical patent/CN115619335A/en
Publication of CN115619335A publication Critical patent/CN115619335A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/10Office automation; Time management
    • G06Q10/103Workflow collaboration or project management
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00Handling natural language data
    • G06F40/10Text processing
    • G06F40/166Editing, e.g. inserting or deleting
    • G06F40/186Templates
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0639Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06395Quality analysis or management

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Human Resources & Organizations (AREA)
  • Strategic Management (AREA)
  • Theoretical Computer Science (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Physics & Mathematics (AREA)
  • Economics (AREA)
  • General Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • Educational Administration (AREA)
  • Quality & Reliability (AREA)
  • Operations Research (AREA)
  • Marketing (AREA)
  • Tourism & Hospitality (AREA)
  • Development Economics (AREA)
  • Data Mining & Analysis (AREA)
  • Game Theory and Decision Science (AREA)
  • Health & Medical Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Computational Linguistics (AREA)
  • General Health & Medical Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses a method and a device for processing service data, electronic equipment and a storage medium, and relates to the technical field of computers. One embodiment of the method comprises: responding to the service efficiency supervision instruction, acquiring corresponding service data and service types to call an evaluation model corresponding to the service types, and evaluating the time required for checking the service data; acquiring actual service time of the service data, responding to the fact that the actual service time is longer than 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, generating handling information based on the checking information and the service data, and sending the handling information. The implementation method can solve the problem that progress of business data and production is supervised in a manual mode, but the mode needs more time and cost and is low in efficiency.

Description

Method and device for processing service data, electronic equipment and storage medium
Technical Field
The present invention relates to the field of computer technologies, and in particular, to a method and an apparatus for processing service data, an electronic device, and a storage medium.
Background
In the financial field, for example, in the loan and loan type of business, since the business process may cause abnormality due to different reasons, the business data is usually required to be continuously checked so as to find the abnormality in the business in time. With the increase of the service volume, the service data volume also increases, and the problem that the service data check is not timely often occurs, so that the service abnormity cannot be found in time. In the prior art, the progress of business data and production usually needs to be monitored manually, but the method needs much time and cost and is inefficient.
Disclosure of Invention
In view of this, embodiments of the present invention provide a method, an apparatus, an electronic device, and a storage medium for processing service data, which can solve the problem that progress of service data and production is monitored manually, but this method needs to spend more time and cost and is less efficient.
To achieve the above object, according to an aspect of an embodiment of the present invention, a method for processing service data is provided.
The method for processing the service data comprises the following steps: 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;
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.
In one embodiment, 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.
In another embodiment, determining the 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.
In another embodiment, before responding to the service supervision instruction, the method further comprises:
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, and inputting a preset network model for training to obtain the evaluation model.
In another embodiment, the screening exception checking node includes:
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.
In another embodiment, generating the promotion information based on the verification information and the business data includes:
and acquiring an information template of the promotion, determining a field required by the information of the promotion, extracting the field value of the field from the checking information and the service data, and combining the field value with the information template of the promotion to generate the information of the promotion.
In another embodiment, obtaining the corresponding service data and service type includes:
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.
To achieve the above object, according to another aspect of the embodiments of the present invention, an apparatus for processing service data is provided.
The device for processing the service data comprises the following components: 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 that the actual usage time is longer than the required time, a checking mechanism of the service data, query corresponding checking nodes, to determine actual usage time for checking the service data by the checking nodes, and screen abnormal checking nodes;
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.
In one embodiment, 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.
In yet another embodiment, 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.
In yet another embodiment, the apparatus further comprises:
and the training unit is used for 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.
In another embodiment, 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.
In another embodiment, the sending unit is specifically configured to:
and acquiring an information template of the promotion, determining a field required by the information of the promotion, extracting the field value of the field from the checking information and the service data, and combining the field value with the information template of the promotion to generate the information of the promotion.
In another embodiment, the obtaining unit is specifically configured to:
and inquiring the promotion rate of each organization to obtain corresponding service data and the service type of the service data based on the promotion rate.
To achieve the above object, according to still another aspect of an embodiment of the present invention, there is provided an electronic apparatus.
An electronic device of an embodiment of the present invention includes: one or more processors; the storage device is used for storing one or more programs, and when the one or more programs are executed by the one or more processors, the one or more processors implement the method for processing the service data provided by the embodiment of the invention.
To achieve the above object, according to still another aspect of an embodiment of the present invention, there is provided a computer-readable medium.
A computer readable medium of the embodiment of the present invention stores a computer program thereon, and the program, when executed by a processor, implements the method for processing service data provided by the embodiment of the present invention.
To achieve the above object, according to still another aspect of an embodiment of the present invention, there is provided a computer program product.
A computer program product according to an embodiment of the present invention includes a computer program, and when the computer program is executed by a processor, the computer program implements the method for processing service data according to the embodiment of the present invention.
One embodiment of the above invention has the following advantages or benefits: in the embodiment of the invention, the evaluation model corresponding to the service type is preset to estimate the time required by service data check, so that the time can be compared with the actual service time, and when the actual service time is longer, the check nodes can be further analyzed to screen out abnormal parturient nodes, so as to generate and report the hastening information.
Further effects of the above-mentioned non-conventional alternatives will be described below in connection with the embodiments.
Drawings
The drawings are included to provide a better understanding of the invention and are not to be construed as unduly limiting the invention. Wherein:
fig. 1 is a schematic diagram of a main flow of a method of business data processing according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a network structure of a neural network according to an embodiment of the present invention;
fig. 3 is a schematic diagram of another main flow of a business data processing method according to an embodiment of the present invention;
fig. 4 is a schematic diagram of another main flow of a method for business data processing according to an embodiment of the present invention;
fig. 5 is a schematic diagram of the main elements of an apparatus for traffic data processing according to an embodiment of the present invention;
FIG. 6 is an exemplary system architecture diagram to which embodiments of the present invention may be applied;
FIG. 7 is a schematic block diagram of a computer system suitable for use in implementing embodiments of the present invention.
Detailed Description
Exemplary embodiments of the invention are described below with reference to the accompanying drawings, in which various details of embodiments of the invention are included to assist understanding, and which are to be considered as merely exemplary. 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 the embodiments and features of the embodiments may be combined with each other without conflict. According to the technical scheme, the data acquisition, storage, use, processing and the like meet relevant regulations of national laws and regulations.
The embodiment of the invention provides a service data processing system which can be used for monitoring scenes for checking service data. The method can be particularly used in a scene of supervising the checking of business data such as loan and the like.
Taking the business data as loan business data as an example, the post-loan early warning is an important process in loan business, and aims to control risks and ensure that loan instincts can be withdrawn in time and in full amount; the loan fund flow is monitored to ensure that the loan fund can be used legally and compliantly, so that the checking of loan transaction data becomes an important problem. Therefore, in order to supervise the checking process of the loan transaction data, the embodiment of the invention provides a transaction data processing system. Because the corresponding business data bureaus in each structure are also different, the corresponding business data of each organization can be checked differently, generally, in order to facilitate checking the loan business data, the checking process can be divided into a plurality of checking nodes, namely, for each checking post (such as assignment post, checking post and checking post), a plurality of business personnel can be arranged at different posts, so as to realize the checking task of the corresponding checking node. The service data checking process may specifically be: the loan service data is usually identified by a monitoring model, then the checking task of the corresponding loan service data is automatically sent to the assignment post of the corresponding organization through a batch script according to the organization number and the checking grade of the loan service, the assignment post can assign the loan service data checking task to the checking post for checking after information initial check and white list exception processing, the checking result is fed back to the checking post of the organization or a superior organization for rechecking, and the checking is finished if the service data without errors are rechecked. The embodiment of the invention can monitor the service data which is checked and find that the service data of the suspicious point cannot be accurately checked.
An embodiment of the present invention provides a method for processing service data, where the method may be executed by a service data processing system, and as shown in fig. 1, the method includes:
s101: and responding to the service efficiency supervision instruction, acquiring corresponding service data and service types to call an evaluation model corresponding to the service types, and evaluating the time required for checking the service data.
The service efficiency supervision instruction is used for indicating supervision on the checking efficiency of the service data. In this step, the service efficiency monitoring instruction may be automatically triggered by the service data processing system, or may be sent by an external system, for example, the service data processing system may set the time for automatically triggering the service efficiency monitoring instruction to implement automatic triggering, or may send the service efficiency monitoring instruction to the service data processing system when the user needs to monitor some service data.
In the embodiment of the invention, the service efficiency supervision instruction can carry the service data to complete the check, so that the check of the service data is supervised conveniently, namely the checked service data needing to be supervised, and the corresponding service data can be obtained from the service efficiency supervision instruction. Or after the service efficiency supervision instruction is triggered in the step, acquiring the service efficiency supervision instruction from a database for storing service data. After the service data is obtained, the corresponding service type may be obtained from the information of the pre-stored service data.
Specifically, in the embodiment of the present invention, the verification of the service data is urged after the monitoring and verification of the service data is abnormal, so that the urging rate of each organization can be determined based on the result of the historical monitoring, and further, in order to facilitate the monitoring of the service data verification efficiency of each organization, the corresponding service data and the service type of the service data can be acquired based on the urging rate of each organization. For example, when the promotion rate of an organization is higher, the larger the amount of the business data of the organization and the product can be acquired, for example, all the business data checked by the organization can be acquired for supervision; when the promotion rate of an organization is lower, the smaller the business data volume of the organization and the labor can be obtained, namely, all business data checked from the organization are subjected to spot check to obtain the business data.
It should be noted that, in the embodiment of the present invention, an evaluation model corresponding to each service type may be preset to evaluate the time required for checking the service data, that is, the time required for checking one piece of service data. Since the checking efficiency is supervised in the embodiment of the invention, the time required by the service data checking can be firstly evaluated through the evaluation model so as to evaluate the checking efficiency.
In some embodiments, before performing this step, the checked historical service data, the corresponding checking mechanism, and the checking time information may be obtained, and a feature vector of the historical service data may be generated to input a preset network model for training, so as to obtain an evaluation model.
The preset network model may be a neural network model. Specifically, in the embodiment of the present invention, characteristics such as a total time for checking the historical service data, a checking mechanism, a checking node, and a time used by each checking node for checking may be counted to generate the feature vector. And inputting the characteristic vector into a preset network model so as to train the model and obtain an evaluation model. As shown in fig. 2, a schematic diagram of a network structure of the neural network may be preset.
S102: and acquiring the actual service time of the service data, responding to the fact that the actual service time is 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 checking service data of the checking nodes, and screening abnormal checking nodes.
Wherein the actual usage time means an actual usage time for checking the service data to compare it with the estimated required time. If the actual service time is not longer than the required time, the time for checking the service data is not abnormal; if the actual service time is longer than the required time, it is indicated that the time for checking the service data is abnormal, that is, a delayed state occurs, so that the checking mechanism for the service data can be obtained at this time, and the corresponding checking nodes are queried to determine the actual service time for checking the service data by each checking node, and then the abnormal checking nodes are screened.
The abnormal check node represents a check node which takes a long time, so that the actual use time for checking the service data by the check node is long, and the actual use time for checking the service data is longer than the estimated required time.
Specifically, in the embodiment of the present invention, since different service data have different complexities and different checking times are required, the checking grade of each service data may be set, and a time threshold corresponding to each checking node is set for each checking registration, that is, a threshold of a time used by the checking node to check the service data, so that the checking grade corresponding to the service data may be obtained, and then the time threshold corresponding to each checking node under the checking grade is queried, so as to compare with the actual use time of the service data checked by each checking node, thereby screening an abnormal checking node, that is, a checking node whose time is greater than the time threshold.
S103: and acquiring the checking information of the abnormal checking node to call a preset abnormal handling component, generating handling information based on the checking information and the service data, and sending the handling information.
After the abnormal check node is determined, check information of the abnormal check node, such as information of service personnel, can be obtained, so that the urging information is generated through the abnormal urging component and is sent to prompt the service personnel that the checking efficiency is abnormal.
Specifically, the information template for promoting handling may be preset in this step, so that a field required for generating the information for promoting handling may be determined based on the information template for promoting handling, and then a field value of the required field is extracted from the checking information and the service data to replace the field value in the information template for promoting handling, so as to generate the information for promoting handling.
In the embodiment of the invention, the evaluation model corresponding to the service type is preset to estimate the time required by the service data check, so that the time can be compared with the actual service time, and when the actual service time is determined to be longer, the check node can be further analyzed to screen out abnormal parturient nodes, so that the hastening information is generated and reported.
The following describes, in conjunction with the embodiment shown in fig. 1, a method for processing service data in the embodiment of the present invention specifically, as shown in fig. 3, the method includes:
s301: and responding to the service efficiency supervision instruction, inquiring the handling rate of each organization, and acquiring corresponding service data and the service type of the service data based on the handling rate.
S302: and calling an evaluation model corresponding to the service type, and evaluating the time required for checking the service data.
S303: and acquiring the actual use time of the service data.
S304: and determining that the checking result is passed in response to the actual using time not being greater than the required time.
S305: and responding to the fact that the actual service time is 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.
S306: and acquiring the checking information of the abnormal checking node.
S307: and acquiring the information template of the promotion, determining a field required by the information of the promotion, extracting a field value of the field required from the checking information and the service data, combining the field value with the information template of the promotion, generating the information of the promotion and sending the information.
It should be noted that, in the embodiment of the present invention, a data processing principle is the same as a principle of corresponding data processing in the dead state shown in fig. 1, and details are not described herein again.
Based on the embodiment shown in fig. 1, the present invention provides another method for processing service data, as shown in fig. 4, the method includes:
s401: and responding to the service quality supervision instruction, and acquiring service data with an abnormal checking result.
The service instruction supervision instruction is used for instructing supervision on a service data checking instruction, namely supervision on the accuracy of service data checking. In this step, the service instruction supervision instruction may be automatically triggered by the service data processing system, or may be sent by an external system, for example, the service data processing system may set the time for automatically triggering the service quality supervision instruction to implement automatic triggering, or may send the service quality supervision instruction to the service data processing system when the user needs to perform quality supervision on some service data.
In the embodiment of the present invention, for the memorial supervision of quality of health, it is usually necessary to perform the second anomaly detection on the service data whose checking result is non-anomaly, so that the service data whose checking result is non-anomaly can be obtained in this step.
S402: and calling a preset early warning strategy, and matching the preset early warning strategy with the abnormal service data.
In the embodiment of the invention, an early warning strategy can be preset, namely the early warning strategy of abnormal business data, so that the abnormal business data and the early warning strategy are avoided. If the matching is unsuccessful, the verification of the service data is accurate; and if the matching is successful, the verification of the service data is not accurate.
Specifically, taking the business data as loan business data as an example, the early warning policy may include: multiple loan borrowers with the same early warning task are remote clients; multiple loan borrowers enter city service workers or farmers in the same early warning task; multiple loan borrowing persons in the same early warning task are credit acquisition whiteboard clients; the same early warning task is not consistent with the credit investigation registration information of the multi-loan borrower working unit; the same early warning task is carried out on a plurality of loan borrowers and spouse working units; the same early warning task is carried out on multiple loan borrowers in the same unit; the same early warning task is carried out on the same working unit of the multi-loan borrower but the contact telephone of the working unit is different; the income of the loan borrowers is high for a plurality of times with the same early warning task; the same early warning task exists among the folk loans among the multiple loan borrowers; the excessive overdraft or low credit of the borrower of multiple loans with the same early warning task.
S403: and determining the service data checking quality based on the matching result.
Responding to the matching result that the matching is successful, indicating that abnormal business data is matched with at least one of the early warning strategies, marking the abnormal business data as abnormal, and acquiring information of a corresponding checking user of the abnormal business data to generate a corresponding quality report; and in response to the matching result being matching failure, determining that the service data checking quality is passed.
It should be noted that, in the embodiment of the present invention, a corresponding identifier may be set for each early warning policy, and after the matching result is that the matching is successful, the identifier of the early warning policy that is successfully matched may be used as a mark of the service data.
In the embodiment of the invention, the quality of the service data which is checked to be abnormal is monitored, and the checking instruction of the service data is further monitored, so that the checking quality of the service data is improved.
It should be noted that, in the embodiment of the present invention, the service 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 implemented through Java language, and may bear a large-scale request and return a corresponding processing result in a form of a message, so that the present invention has good extensibility and robustness. The front-end interface can provide functional modules including suspicious point information inquiry, task detail inquiry, task checking operation, task state and the like for business personnel, can fully meet the flow operation of business personnel on business data checking and supervision, designs corresponding authorities for different mechanisms and different posts, ensures that business data and operation authorities can only be browsed and operated by appointed business personnel, and improves the working efficiency and safety of the business personnel in early warning service.
In order to solve the problems in the prior art, an embodiment of the present invention provides an apparatus 500 for processing service data, as shown in fig. 5, where the apparatus 500 includes:
an obtaining unit 501, configured to, in response to a service efficiency supervision instruction, obtain corresponding service data and a service type, so as to call an evaluation model corresponding to the service type, and evaluate and check time required for the service data;
a determining unit 502, 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;
a sending unit 503, configured to obtain the checking information of the anomaly checking node, so as to call a preset anomaly handling component, generate handling information based on the checking information and the service data, and send the handling information.
It should be understood that the manner of implementing the embodiment of the present invention is the same as the manner of implementing the embodiment shown in fig. 1, and the description thereof is omitted.
In an embodiment, the determining unit 502 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.
In a further embodiment, the determining unit 502 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.
In yet another embodiment, the apparatus 500 further comprises:
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.
In another embodiment, the determining unit 502 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 service time of the service data.
In another embodiment, the sending unit 503 is specifically configured to:
and acquiring an information template of the promotion, determining a field required by the information of the promotion, extracting the field value of the field from the checking information and the service data, and combining the field value with the information template of the promotion to generate the information of the promotion.
In another embodiment, the obtaining unit 501 is specifically configured to:
and inquiring the promotion rate of each organization to obtain corresponding service data and the service type of the service data based on the promotion rate.
It should be understood that the embodiment of the present invention is implemented in the same manner as the embodiment shown in fig. 1, 3 and 4, and is not described herein again.
In the embodiment of the invention, the evaluation model corresponding to the service type is preset to estimate the time required by the service data check, so that the time can be compared with the actual service time, and when the actual service time is determined to be longer, the check node can be further analyzed to screen out abnormal parturient nodes, so that the hastening information is generated and reported.
According to an embodiment of the present invention, an electronic device and a readable storage medium are also provided.
The electronic device of the embodiment of the invention comprises: at least one processor; and a memory communicatively coupled to the at least one processor; the memory stores instructions executable by the processor, and the instructions are executed by the at least one processor to cause the at least one processor to execute the method for processing service data provided by the embodiment of the invention.
Fig. 6 shows an exemplary system architecture 600 of a business data processing method or business data processing apparatus to which an embodiment of the present invention may be applied.
As shown in fig. 6, the system architecture 600 may include terminal devices 601, 602, 603, a network 604, and a server 605. The network 604 serves as a medium for providing communication links between the terminal devices 601, 602, 603 and the server 605. Network 604 may include various types of connections, such as wire, wireless communication links, or fiber optic cables, to name a few.
A user may use the terminal devices 601, 602, 603 to interact with a server 605, via a network 604, to receive or send messages or the like. Various client applications may be installed on the terminal devices 601, 602, 603.
The terminal devices 601, 602, 603 may be, but are not limited to, smart phones, tablet computers, laptop portable computers, desktop computers, and the like.
The server 605 may be a server that provides various services, and the server may analyze and process data such as a received product information query request, and feed back a processing result (for example, product information — just an example) to the terminal device.
It should be noted that the method for processing service data provided by the embodiment of the present invention is generally executed by the server 605, and accordingly, the apparatus for processing service data is generally disposed in the server 605.
It should be understood that the number of terminal devices, networks, and servers in fig. 6 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
Referring now to FIG. 7, a block diagram of a computer system 700 suitable for use in implementing embodiments of the present invention is shown. The computer system illustrated in FIG. 7 is only an example and should not impose any limitations on the scope of use or functionality of embodiments of the invention.
As shown in fig. 7, the computer system 700 includes a Central Processing Unit (CPU) 701, which can perform various appropriate actions and processes 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. In the RAM 703, various programs and data necessary for the operation of the system 700 are also stored. The CPU 701, the ROM 702, and the RAM 703 are connected to each other via a bus 704. An input/output (I/O) interface 705 is also connected to bus 704.
The following components are connected to the I/O interface 705: an input portion 706 including a keyboard, a mouse, and the like; an output section 707 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage section 708 including a hard disk and the like; 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, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 710 as necessary, so that the computer program read out therefrom is mounted in the storage section 708 as necessary.
In particular, according to the embodiments of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer-readable medium, the computer program comprising program code for performing the method illustrated by the flow chart. In such an embodiment, the computer program can be downloaded and installed from a network through the communication section 709, and/or installed from the removable medium 711. The computer program performs the above-described functions defined in the system of the present invention when executed by the Central Processing Unit (CPU) 701.
It should be noted that the computer readable medium shown in the present invention can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present invention, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In contrast, in the present invention, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection 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, wire, fiber optic 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 the flowchart or block diagrams may represent a unit, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). 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 the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems that perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in the embodiments of the present invention may be implemented by software or hardware. The described units may also be provided in a processor, and may be described as: a processor includes an acquisition unit, a determination unit, and a transmission unit. The names of these units do not in some cases form a limitation on the units themselves, and for example, the acquisition unit may also be described as a "unit of service data acquisition function".
As another aspect, the present invention also provides a computer-readable medium, which may be contained in the apparatus described in the above embodiments; or may be separate and not incorporated into the device. The computer readable medium carries one or more programs, and when the one or more programs are executed by the apparatus, the apparatus is caused to execute the method for processing service data provided by the present invention.
As another aspect, the present invention further provides a computer program product including a computer program, where the computer program is executed by a processor to implement the transaction data processing method provided by the embodiment of the present invention.
The above-described embodiments should not be construed as limiting the scope of the invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may occur depending on design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in 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.
CN202211191046.7A 2022-09-28 2022-09-28 Service data processing method and device, electronic equipment and storage medium Pending CN115619335A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202211191046.7A CN115619335A (en) 2022-09-28 2022-09-28 Service data processing method and device, electronic equipment and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202211191046.7A CN115619335A (en) 2022-09-28 2022-09-28 Service data processing method and device, electronic equipment and storage medium

Publications (1)

Publication Number Publication Date
CN115619335A true CN115619335A (en) 2023-01-17

Family

ID=84859715

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202211191046.7A Pending CN115619335A (en) 2022-09-28 2022-09-28 Service data processing method and device, electronic equipment and storage medium

Country Status (1)

Country Link
CN (1) CN115619335A (en)

Similar Documents

Publication Publication Date Title
CN110399550B (en) Information recommendation method and device
CN114185708A (en) Data analysis method and device based on distributed link tracking and electronic equipment
CN113034274A (en) Supply chain financial service system and method based on block chain and terminal equipment
CN111931189B (en) API interface reuse risk detection method, device and API service system
CN110348471B (en) Abnormal object identification method, device, medium and electronic equipment
CN114328132A (en) Method, device, equipment and medium for monitoring state of external data source
CN117670033A (en) Security check method, system, electronic equipment and storage medium
CN114022151A (en) Block chain data visualization method and system, electronic device and storage medium
US9264532B2 (en) Technology for combating mobile phone criminal activity
CN116107789A (en) Method for monitoring and analyzing application fault reasons and storage medium
CN111931186A (en) Software risk identification method and device
CN115619335A (en) Service data processing method and device, electronic equipment and storage medium
CN114764713A (en) Method and device for generating merchant patrol task, electronic equipment and storage medium
CN112887355A (en) Service processing method and device for abnormal server
CN114170741B (en) Transaction efficiency monitoring method, ATM front-end system and self-service business control and management system
CN116610503A (en) Component detection method and device
CN114418142A (en) Equipment inspection method and device
CN113450208A (en) Loan risk change early warning and model training method and device
CN114091909A (en) Collaborative development method, system, device and electronic equipment
CN112801688A (en) Method and device for positioning reason of estimation failure
CN112686742A (en) Sales invoice risk early warning method and device, storage medium and electronic equipment
CN118260294B (en) Manufacturing pain signal summarizing method, system, medium and equipment based on AI
CN113268499B (en) Data acquisition method and device, data acquisition system and server
CN112559561B (en) Data processing method and related device
CN116974858A (en) Information generation method, system, device, equipment and storage medium

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination