CN112053224B

CN112053224B - Service processing monitoring realization method, device and system

Info

Publication number: CN112053224B
Application number: CN202010908891.6A
Authority: CN
Inventors: 黄文强; 季蕴青; 胡路苹; 胡玮; 黄雅楠; 浮晨琪; 李蚌蚌; 徐晨敏
Original assignee: Bank of China Ltd
Current assignee: Bank of China Ltd
Priority date: 2020-09-02
Filing date: 2020-09-02
Publication date: 2023-08-18
Anticipated expiration: 2040-09-02
Also published as: CN112053224A

Abstract

The application provides a business auditing and monitoring implementation method, a device and a system, which acquire monitoring parameters of a to-be-audited business and a monitored object for auditing the to-be-audited business, such as target shooting frequency of an auditing state of the to-be-audited business, which is obtained by shooting the monitored object by an image collector, so that in the process of auditing the to-be-audited business by the monitored object, the image collector is controlled to accurately obtain effective auditing time of the to-be-audited business by the monitored object according to continuous multi-frame auditing state images shot by the target shooting frequency, and the effective auditing time is verified according to the auditing time standard of the monitored object, so that when the monitored object is determined to not seriously audit the to-be-audited business, the next auditing link of the to-be-audited object is not transferred, the technical problem brought by finding the problem in the final auditing link is avoided, the invalid waiting time of a client is greatly reduced, and the client experience is improved.

Description

Service processing monitoring realization method, device and system

Technical Field

The present application relates to the field of business auditing applications, and more particularly, to a method, apparatus and system for implementing business processing monitoring.

Background

In the banking industry, for example, in the banking industry, since the business transacted by the customer often involves various assets, in order to ensure the security of the customer information and the assets, a stricter auditing mechanism is adopted to audit the business transacted by the customer, and after multiple audits, whether to approve is determined.

In practical application, in the business auditing flow, some auditors may not truly audit the business content of the business to be audited due to reasons such as inappropriateness, image trouble saving and the like, so that some business to be audited only find problems when reaching the final auditing link, and the business to be audited needs to be audited again, which is time-consuming and labor-consuming, increases the waiting time of the client and reduces the client experience.

Disclosure of Invention

In view of the above, in order to solve the above technical problems, the present application provides the following technical solutions:

in one aspect, the application provides a method for implementing business audit monitoring, which comprises the following steps:

acquiring monitoring parameters of a to-be-checked service and a monitored object for checking the to-be-checked service, wherein the monitoring parameters comprise: the image collector shoots a target shooting frequency of the auditing state of the to-be-audited business audited by the monitored object;

Acquiring continuous multi-frame auditing state images shot by the image collector according to the target shooting frequency in the process of auditing the to-be-audited business by the monitored object;

obtaining effective auditing time of the monitored object for auditing the business to be audited according to the continuous multi-frame auditing state image and the target shooting frequency;

and verifying the effective auditing time according to the auditing time standard of the monitored object to obtain a monitoring result of auditing the business to be audited aiming at the monitored object.

Optionally, the obtaining, according to the continuous multi-frame audit status image and the target shooting frequency, an effective audit time of the monitored object for auditing the service to be audited includes:

inputting the continuous multi-frame auditing state image and the target shooting frequency into an auditing time statistical model, and outputting the effective auditing time of the auditing service of the monitored object;

the auditing time statistical model is obtained by training first sample data based on a neural network algorithm and a genetic algorithm, wherein the first sample data comprises different sample shooting frequencies and multi-frame sample auditing state images corresponding to the same.

Optionally, the training process of the audit time statistical model includes:

acquiring shooting frequencies of different samples and auditing state images of continuous multi-frame samples shot at the different shooting frequencies;

inputting the sample shooting frequency and the corresponding continuous multi-frame sample auditing state image into a neural network, performing learning training according to a genetic algorithm until a training constraint condition is met, and determining a neural network model obtained by final training as an auditing time statistical model;

the training constraint condition comprises that the output of the neural network model obtained by each training is subjected to accuracy verification by using test sample data, and the obtained accuracy verification result is determined to meet the accuracy requirement.

Optionally, the method for acquiring the audit time standard of the monitored object includes:

acquiring historical behavior data of the monitored object;

according to the historical behavior data, determining an audit time standard corresponding to the object category to which the monitored object belongs from audit time standards corresponding to each preset multi-category object;

verifying the effective auditing time according to the auditing time standard of the monitored object to obtain a monitoring result of auditing the business to be audited aiming at the monitored object, comprising the following steps:

Verifying whether the effective auditing time accords with auditing time standards of the monitored object;

if the auditing time standard of the monitored object is met, determining that the auditing result of the monitored object on the business to be audited is effective;

and if the auditing time standard of the monitored object is not met, determining that the auditing result of the monitored object on the business to be audited is invalid.

Optionally, the verifying the effective auditing time according to the auditing time standard of the monitored object to obtain a monitoring result for auditing the service to be audited by the monitored object, including:

inputting the effective auditing time and the portrait information corresponding to the monitored object into an auditing verification model, and outputting a monitoring result whether the auditing result of the monitored object on the business to be audited is effective or not;

the auditing and verification model is obtained by training second sample data based on an artificial intelligence algorithm, and the second sample data comprises different sample auditing times and portrait information of different monitored objects.

Optionally, the method further comprises:

outputting a review prompt message under the condition that the monitored object is invalid to the review result of the business to be reviewed, wherein the review prompt message is used for reminding the monitored object to review the business to be reviewed again.

Optionally, the obtaining the monitoring parameters of the monitored object for the pending service and auditing the pending service includes:

acquiring the service type of the service to be checked;

determining a monitoring mode of the monitored object of the service to be checked according to the service type;

if the monitoring mode is a first monitoring mode, obtaining a target shooting frequency matched with the service type, and shooting the auditing state of the service to be audited by the monitored object through an image collector;

the higher the importance level of the to-be-checked business of different business types is, the larger the corresponding target shooting frequency is.

Optionally, the method further comprises:

if the monitoring mode is a second monitoring mode, acquiring average auditing time of the same type of service of the to-be-audited service audited by the monitored object;

counting the current auditing time of the monitored object for auditing the business to be audited;

obtaining a monitoring result of whether the auditing result of the business to be audited aiming at the monitored object is effective or not according to the comparison result of the current auditing time and the average auditing time;

and if the monitoring mode is a third monitoring mode, prohibiting to respond to the monitoring request for checking the checking state of the business to be checked aiming at the monitored object.

In yet another aspect, the present application further provides a device for implementing service audit monitoring, where the device includes:

the system comprises a monitoring parameter acquisition module, a monitoring parameter analysis module and a monitoring parameter analysis module, wherein the monitoring parameter acquisition module is used for acquiring monitoring parameters aiming at a to-be-checked service and checking a monitored object of the to-be-checked service, and the monitoring parameters comprise: the image collector shoots a target shooting frequency of the auditing state of the to-be-audited business audited by the monitored object;

the auditing state image acquisition module is used for acquiring continuous multi-frame auditing state images shot by the image collector according to the target shooting frequency in the process of auditing the business to be audited by the monitored object;

the effective auditing time obtaining module is used for obtaining the effective auditing time of the to-be-audited business audited by the monitored object according to the continuous multi-frame auditing state image and the target shooting frequency;

and the effective auditing time verification module is used for verifying the effective auditing time according to the auditing time standard of the monitored object to obtain a monitoring result of auditing the business to be audited aiming at the monitored object.

In yet another aspect, the present application further provides a system for implementing service audit monitoring, where the system includes:

The image collector is used for collecting images of the auditing states of the to-be-audited business audited by the monitored object to obtain continuous multi-frame auditing state images;

a computer device, the computer device comprising:

a communication interface;

the memory is used for storing a program for realizing the business audit monitoring realization method;

and the processor is used for loading and executing the program stored in the memory so as to realize the steps of the business audit monitoring realization method.

Compared with the prior art, the business auditing monitoring implementation method, device and system provided by the application have the advantages that in order to supervise the auditing state of any business in the current auditing, the auditing problem is timely found and solved, the computer equipment acquires monitoring parameters of the to-be-audited business and the to-be-audited object of the auditing to-be-audited business, such as target shooting frequency of the auditing state of the to-be-audited business, which is shot by the image acquisition device, so that in the process of the to-be-audited object to-be-audited business, the image acquisition device is controlled to shoot continuous multi-frame auditing state images according to the target shooting frequency, and further, the effective auditing time of the to-be-audited business of the to-be-audited object is accurately obtained according to the auditing time standard of the to-be-monitored object, whether the auditing state of the to-be-audited object to-be-audited business is serious is known, and whether the auditing result of the obtained to-be-audited business is correct is determined, so that in the process of the to-be-monitored object to-be-audited business is not shifted to the next to be-audited business, and the problem of waiting for a customer has to be audited is solved, and the problem that the prior art has to be discovered is required to be seriously is solved.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only embodiments of the present application, and that other drawings can be obtained according to the provided drawings without inventive effort for a person skilled in the art.

FIG. 1 is a schematic diagram of an alternative embodiment of a business audit monitoring implementation system according to the present application;

FIG. 2 is a schematic hardware architecture diagram of an alternative example of a computer device in the business audit monitoring implementation system according to the present application;

FIG. 3 is a flow chart illustrating an alternative example of a business audit monitoring implementation method according to the present application;

FIG. 4 is a flow chart illustrating yet another alternative example of a business audit monitoring implementation method according to the present application;

FIG. 5 is a flow chart illustrating yet another alternative example of a business audit monitoring implementation method according to the present application;

FIG. 6 is a schematic structural diagram of an alternative example of a business audit monitoring implementation apparatus according to the present application;

Fig. 7 is a schematic structural diagram of yet another alternative example of the business audit monitoring implementation apparatus according to the present application.

Detailed Description

The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.

For convenience of description, only a portion related to the present application is shown in the drawings. Embodiments of the application and features of the embodiments may be combined with each other without conflict.

It is to be understood that the terms "system," "apparatus," "unit," and/or "module" as used herein are one means for distinguishing between different components, elements, parts, portions, or assemblies at different levels. However, if other words can achieve the same purpose, the word can be replaced by other expressions.

As used in the specification and in the claims, the terms "a," "an," "the," and/or "the" are not specific to a singular, but may include a plurality, unless the context clearly dictates otherwise. In general, the terms "comprises" and "comprising" merely indicate that the steps and elements are explicitly identified, and they do not constitute an exclusive list, as other steps or elements may be included in a method or apparatus. The inclusion of an element defined by the phrase "comprising one … …" does not exclude the presence of additional identical elements in a process, method, article, or apparatus that comprises an element.

Wherein, in the description of the embodiments of the present application, unless otherwise indicated, "/" means or, for example, a/B may represent a or B; "and/or" herein is merely an association relationship describing an association object, and means that three relationships may exist, for example, a and/or B may mean: a exists alone, A and B exist together, and B exists alone. In addition, in the description of the embodiments of the present application, "plurality" means two or more than two. The following terms "first", "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature.

In addition, flowcharts are used in the present application to illustrate the operations performed by systems according to embodiments of the present application. It should be appreciated that the preceding or following operations are not necessarily performed in order precisely. Rather, the steps may be processed in reverse order or simultaneously. Also, other operations may be added to or removed from these processes.

Referring to fig. 1, a schematic structural diagram of an alternative example of a business audit monitoring implementation system according to the present application may include: an image collector 11 and a computer device 12, wherein:

the image collector can be used for collecting images of the auditing state of the to-be-audited business of the monitored object to obtain continuous multi-frame auditing state images so as to determine the auditing state of the monitored object in the process of auditing the to-be-audited business subsequently according to the images, further determine the effective auditing time of the to-be-audited business of the monitored object, and the specific implementation process can be described in the corresponding part of the following embodiments.

In practical application, the image collector may be a camera integrated in the computer device 12, or may be an independent camera, etc., and the application does not limit the product type of the image collector, and may be determined according to the requirement of the practical application scenario, but the shooting lens of the image collector is required to face the monitored object, at least the face image of the monitored object can be shot, so as to analyze whether the monitored object is carefully checking the business to be checked through the feature of the face image. Of course, according to actual requirements, the captured audit status image may also include image features of other body parts of the monitored object, which will not be described in detail herein.

The computer device 12 can execute the business auditing monitoring implementation method provided by the application to realize supervision of each auditing person for auditing the business to be audited. In an embodiment of the present application, the computer device 12 may be a service terminal or a service server, which may be determined according to a specific application scenario. Regardless of the type of product that the computer device 12 is of, as shown in FIG. 2, it may include, but is not limited to: a communication interface 21, a memory 22 and a processor 23, wherein:

the number of each of the communication interface 21, the memory 22 and the processor 23 may be at least one, and the communication interface 21, the memory 22 and the processor 23 may be all connected to a communication bus to implement data interaction therebetween.

The communication interface 21 may include an interface of a communication module, such as a GSM module, a WIFI module, an interface for implementing data communication of a mobile communication network (such as a 5G network, a 6G network), etc., and in practical application, it may be used to implement data interaction with other devices, such as transmitting an audit status image of a monitored object, a monitoring result of the monitored object, etc., which is captured by an image collector.

According to practical needs, the communication interface 21 may further include interfaces such as a USB interface and a serial/parallel interface, which are used for implementing data interaction between internal components of the computer device, such as various intermediate data and input parameters generated or required in the implementation process of the service audit monitoring implementation method provided by the present application, which may be determined according to the needs of the practical application scenario, and the present application is not described in detail.

The memory 22 may store a program composed of a plurality of instructions for implementing the service audit monitoring implementation method provided in the embodiment of the present application, and the processor 23 invokes and loads the program stored in the memory 22, so as to implement the service audit monitoring implementation method provided in the embodiment of the present application, and the specific implementation process may refer to, but is not limited to, the following description of the corresponding embodiment.

In embodiments of the present application, memory 22 may comprise high-speed random access memory, and may also comprise non-volatile memory, such as at least one magnetic disk storage device or other volatile solid-state storage device. The processor 23 may be a central processing unit (Central Processing Unit, CPU), application-specific integrated circuit (ASIC), digital Signal Processor (DSP), application-specific integrated circuit (ASIC), off-the-shelf programmable gate array (FPGA), or other programmable logic device, etc.

In one possible implementation, the memory 22 may include a program storage area and a data storage area, where the program storage area may store an operating system, and at least one application program required for a function (such as an image processing function), a program implementing the service audit monitoring implementation method proposed by the present application, and so on; the data storage area can store data generated in the using process of the computer equipment, such as an audit state image of the monitored object, a monitoring result of the monitored object, related service information of the service to be audited, audit progress and the like, which are shot by the image collector, and the data storage area can be determined according to the situation.

In some embodiments of the present application, if the computer device 12 is a service server, the system for implementing service audit monitoring provided by the present application may further include a corresponding service terminal, and the monitored person operates the service terminal to implement audit of the service to be audited. It can be seen that, in this case, after the monitored object receives the auditing task for the service to be audited, when the auditing task is completed, for example, when the auditing button for the service to be audited is clicked, the service terminal generally receives the auditing instruction for the service to be audited, and determines that the monitored object starts auditing the service to be audited, at this time, the service terminal may notify the service server to control the image collector, and perform image collection on the auditing state of the service to be audited by the monitored object according to the target shooting frequency obtained by the application, so as to obtain the continuous multi-frame auditing state image shot and fed back by the image collector, and then may be executed according to the service auditing monitoring implementation method provided by the application.

For data interaction between the image collector and the service server, communication connection can be established by utilizing respective communication modules, so that direct communication between the image collector and the service server is realized; or, the image collector and the service server can also realize data interaction through the service terminal, namely, the service terminal is used as an intermediate bridge for the communication between the image collector and the service server, so that the communication between the image collector and the service server is realized, especially in the application scene of integrating the image collector in the service terminal, but the application scene is not limited.

In still other embodiments of the present application, the computer device 12 of the present application may also be a service terminal, which may be an electronic device used by an internal staff member of the system in the service handling process, such as an electronic device used by a monitored object of the present application to audit a service to be audited. In practical application, the electronic device may include, but is not limited to, a smart phone, a tablet computer, a wearable device, a super mobile personal computer (ultra-mobile personal computer, UMPC), a netbook, a personal digital assistant (personal digital assistant, PDA), an electronic book reader, a desktop computer, etc., and the application does not limit the product types of the service terminals used by each staff, in practical application, the product types of the service terminals used by different staff may be the same or different, and in particular, the application mainly describes the service terminals used by the monitored object to audit the service to be audited according to the work types and application scenarios thereof, and the embodiments below are not emphasized.

It should be understood that, since the business auditing process generally includes a plurality of auditing links, for safety and reliability, different auditors can audit, and the auditors for different types of businesses may also differ, and the business terminals used by different auditors may differ, so that the number of business terminals in the system provided by the application is often a plurality, and in particular, the number of business terminals can be determined or expanded according to the requirements of application scenarios, and the application is not described in detail one by one.

In order to meet the service processing requirement, a service server supporting service handling or auditing can be configured in the system, corresponding service is provided for service application of the service terminal, sharing of service information in different areas is realized, and the like.

In practical application of the embodiment, if the computer device 12 is an electronic device, the computer device may further include a display screen, which is configured to output an audit interface, related information of a service to be audited, an audit result, a monitoring result of a monitored object, and the like, which may be determined according to a specific application scenario. The display screen can be a touch display screen or a non-touch display screen, and the type of the display screen and the working principle of the display screen are not described in detail.

It should be understood that, in the case that the computer device is a service terminal, the structure of the service terminal described in the foregoing embodiment of the present application is not limited to the service terminal in the foregoing embodiment of the present application, and in practical application, the service terminal may include more or less components than the structural components described in the foregoing embodiment, or may be combined with some components, such as at least one input device including a keyboard and a mouse, and at least one output device including a speaker, a vibration mechanism, a lamp, and the like, which are not specifically recited herein.

In addition, the system structure composition provided by the application is not limited to the image collector, the computer device and the like listed above, but can also comprise other service devices such as a database, a ranking device, an autonomous service device and the like, and can be specifically determined according to the specific application scene of the business audit monitoring realization system.

Referring to fig. 3, a flow chart of an alternative example of a business audit monitoring implementation method according to the present application is provided, and the method may be applied to the above computer device, where the product type of the computer device is not limited by the present application, and reference may be made to, but not limited to, the description of the corresponding parts of the above embodiments. As shown in fig. 3, the method for implementing business audit monitoring according to the present embodiment may include, but is not limited to, the following steps:

Step S11, obtaining monitoring parameters of a monitored object aiming at a business to be checked and checking the business to be checked;

in order to monitor the auditing state of the auditing personnel responsible for the business auditing task and ensure the reliability and accuracy of the auditing result given by the auditing personnel, the application proposes to take the auditing personnel as a monitored object, monitor the auditing state of the auditing personnel in the auditing process of the business to be audited (namely any business which is distributed to the auditing personnel and needs to be audited), and determine whether the auditing personnel seriously audits the business to be audited, if the auditing personnel seriously audits the business to be audited in the whole auditing process of the business to be audited, the auditing result of the business to be audited given by the auditing personnel can be considered to be valid (namely correct); otherwise, the auditing result of the business to be audited, which is given by the auditing personnel, can be considered invalid (i.e. incorrect), so that the auditing personnel is reminded to audit the business to be audited again, and the auditing result sent to the next auditing link is ensured to be correct.

Based on the above, the application provides that the auditing state of the shot object is shot in the process of auditing the business to be audited by the monitored object, and at this time, in order to ensure that the auditing state of the business to be audited by the monitored object can be more reliably reflected by the shot continuous images, the application further provides that the image acquisition is carried out according to higher frequency, so that the shot frequency is prevented from being too low, and the monitored object is prevented from being lazy in the process of acquiring the images of two adjacent frames.

Therefore, after determining the service to be checked in this time, the monitoring parameters for the service to be checked and the monitored object checking the service to be checked may be obtained first, where the monitoring parameters may include: the image collector shoots the target shooting frequency of the checking state of the checked business of the monitored object, but the target shooting frequency is not limited to the target shooting frequency, and can also comprise other monitoring parameters such as shooting angle, shooting resolution and the like of the image collector. The content contained in the monitoring parameters obtained by the application can be determined according to the requirements of actual application scenes, the application mainly takes the target shooting frequency as an example for explanation, other parameters can be flexibly selected according to shooting requirements, and the application is not described in detail one by one.

In practical application, the configuration of the shooting frequency of the image collector can be determined according to the importance of the service to be checked in the checking, for example, the higher shooting frequency can be adopted for image collection for the service to be checked which is important; on the contrary, for the less important business to be checked, the lower shooting frequency can be adopted to collect the image, and the corresponding relation between the importance of the business to be checked and the shooting frequency can be obtained according to business requirements or experience or model training.

In still other embodiments, the configuration of the shooting frequency of the image collector may be further determined in combination with a monitored object currently auditing the service to be audited. Specifically, since the attitudes of different auditors to auditing works are often different, the accuracy of auditing results of the same type of business is often different, the accuracy of auditing results of the type of business is higher for auditing personnel with serious attitudes, and otherwise, the accuracy of auditing results of the type of business is lower for auditing personnel with diffuse attitudes. Therefore, when determining the target shooting frequency of the image collector, besides referring to the importance of the service to be checked, the type of the auditor to which the monitored object belongs can be properly considered, and the corresponding relation between the monitored object and the shooting frequency is determined by combining the two factors (other factors can be included according to the requirement, and the application is not described in detail), and the specific implementation process is not described in detail.

It should be noted that, regarding the monitoring parameters in step S11, particularly, the acquisition mode of the target shooting frequency is not limited to the implementation modes listed above, and may be determined according to actual requirements, which is not described in detail in the present application.

Step S12, in the process of auditing the business to be audited by the monitored object, acquiring continuous multi-frame auditing state images shot by the image collector according to the target shooting frequency;

in combination with the description of the corresponding part of the embodiment, the computer device may determine whether to start auditing of the service to be audited based on the operation of verifying the service to be audited by the monitored object, and when determining to start auditing of the service to be audited, control the image collector to collect the image of the monitored object according to the target photographing frequency, and obtain the continuous multi-frame auditing state image photographed by the image collector, and the implementation method of the photographing process of the auditing state image may refer to, but is not limited to, the description of the corresponding part of the system embodiment above.

Step S13, obtaining effective auditing time of auditing the business to be audited by the monitored object according to the continuous multi-frame auditing state image and the target shooting frequency;

in the process of checking the business to be checked by the monitored object, the image collector captures the image of the monitored object, namely the checking state image, and then the image analysis can be carried out on each frame of checking state image to determine whether the monitored object in the checking state image is checking the business to be checked seriously.

In this embodiment, the target shooting frequency may be data information obtained by performing data fitting processing on the monitored object according to the importance of the service to be checked in combination with the error accuracy, or may be obtained in a manner described in the corresponding section above. Therefore, the size of the target shooting frequency can embody the importance of the business to be audited, the auditing attitude of the monitored object auditing business to be audited, namely, the larger the target shooting frequency is, the more important the business to be audited can be represented, and/or the auditing attitude of the monitored object auditing business to be audited is the more serious, based on the fact, in the process of acquiring the effective auditing time of the monitored object auditing business to be audited, the auditing states represented by two adjacent frames of auditing state images can be comprehensively considered, and the size of the target shooting frequency is determined.

For example, if the two frames of audit state images are respectively subjected to image analysis, it is determined that the audit states of the monitored object in each frame of audit state image are serious (which can be represented by corresponding identifiers, the application is not limited thereto), and it can be considered that the monitored object is seriously audited by the service to be audited between the shooting times of the two frames of audit state images, and the obtained effective audit time can be not influenced by the target shooting frequency, and is determined by the shooting times of the two frames of audit state images, for example, the shooting times of the two frames of audit state images are added to cumulatively obtain the effective audit time of the monitored object for auditing the service to be audited, but the application is not limited to this implementation mode.

If the two frames of audit state images (i.e. the two frames of audit state images at corresponding time points in the example) are respectively subjected to image analysis, the audit state of the monitored object in one frame of audit state image is determined to be serious, the audit state of the monitored object in the next frame of audit state image is determined to be not serious, a certain time point between the shooting times of the two frames of audit state images is indicated, the monitored object starts to steal and does not seriously audit the business to be audited, and if the shooting times are added in the mode, the obtained audit time is larger than the actual effective audit time, so that different shooting frequencies can be configured for the two conditions in order to ensure the accuracy of the obtained effective audit result.

Of course, the two cases listed above may be included in the captured continuous multi-frame audit status image, but the pre-configured target capturing frequency is fixed, and in this case, in order to ensure the accuracy of the obtained valid audit result, the valid audit time obtained for the first case is often greater than the valid audit time obtained for the second case. The application can determine the relation between the continuous multi-frame auditing state image and the target shooting frequency and the effective auditing time of the auditing business to be audited of the monitored object according to the analysis, thus, in practical application, the effective auditing time of the auditing business to be audited of the monitored object can be obtained directly according to the relation.

It is necessary to explain how to obtain the effective auditing time of the auditing business to be audited by the monitored object according to the continuous multi-frame auditing state image and the target shooting frequency, and the implementation method is not limited to the implementation manner described in the above embodiment,

and S14, verifying the effective auditing time according to the auditing time standard of the monitored object to obtain a monitoring result of auditing the business to be audited aiming at the monitored object.

As described in the above embodiments, for different auditors, audit attitudes of the same kind of services are often different, the application can pre-aim at audit attitudes of all kinds of services by each auditor, cluster the auditors, and determine the standard of the category auditors on audit time of the category of services according to audit time of each category of auditors on the category of services, namely audit time standard, and then judge whether effective audit time of monitored objects belonging to the category of auditors is in a reasonable range or not according to the standard, and further judge whether the monitored objects are subjected to serious audit in turn, whether audit results of the to-be-audited services are correct or effective or not, and the like.

It should be noted that, the method for acquiring the auditing time standard of various auditors to audit the business to be audited and the representation method thereof are not limited, and can be determined according to the requirements of the actual application scene.

Based on the analysis, after the embodiment of the application obtains the effective auditing time of the to-be-audited business of the monitored object according to the above manner, the auditing time standard of the monitored object can be obtained according to the monitored object and the to-be-audited business (which can also be obtained before or during the obtaining of the effective auditing time, the application is not limited thereto), whether the effective auditing time accords with the auditing time standard is judged, if so, the auditing state of the to-be-audited business of the monitored object can be determined to be serious, the obtained auditing result of the to-be-audited business is effective (i.e. correct), the next auditing link of the to-be-audited business can be entered, and in the next auditing link, the auditing and monitoring implementation method of the auditing personnel of the auditing environment can be realized according to the business provided by the application, and the auditing and implementation process is not repeated.

Through the verification, if the verification is not in accordance with the verification time standard of the monitored object, the verification state of the monitored object to the verification service can be determined to be inconclusive, the obtained verification result of the to-be-verified service is invalid (i.e. incorrect) and the re-verification prompt information can be output to remind the monitored object to re-verify the to-be-verified service, or the verification task of the to-be-verified service is sent to other verification personnel for execution, or, of course, if the current multiple monitoring results of the monitored object are all invalid, the verification task of the to-be-verified service is sent to other verification personnel for execution if the preset invalid time threshold is reached, and the application is not limited to the above.

In summary, in the embodiment of the present application, a scheme for supervising the auditing state of any service is provided, specifically, a computer device obtains monitoring parameters of a to-be-audited service and a monitored object for auditing the to-be-audited service, for example, an image collector photographs a target photographing frequency of the auditing state of the to-be-audited service by the monitored object, so that in the process of auditing the to-be-audited service by the monitored object, the image collector is controlled to photograph a continuous multi-frame auditing state image according to the target photographing frequency, and further, according to the continuous multi-frame auditing state image and the target photographing frequency, the effective auditing time of the to-be-audited service by the monitored object is accurately obtained, so that according to the auditing time standard of the monitored object, whether the auditing state of the to-be-audited service by the monitored object is serious or not is obtained, and whether the auditing result of the to-be-audited service is correct is determined, so that when the monitored object is determined to not to be-audited service by the present, a next auditing link of the to be-audited service is not transferred, thereby solving the problem that the prior art is finally discovered, and the waiting time is increased, and the time is wasted for customers.

Referring to fig. 4, a flowchart of still another alternative example of the service audit monitoring implementation method according to the present application may be an alternative refinement implementation manner of the service audit monitoring implementation method according to the foregoing embodiment, but is not limited to this implementation manner, and as shown in fig. 4, the method may include:

step S21, obtaining the service type of the service to be checked;

step S22, determining a monitoring mode of a monitored object of a business to be audited according to the business type;

in this embodiment, the importance of each service may be determined according to the service type of the service, that is, the service type of the service to be checked may represent the importance degree of the service to be checked, based on which the monitoring mode of the monitored object of the service to be checked may be further determined, where the monitoring mode may be divided into a first monitoring mode, a second monitoring mode and a third monitoring mode according to the monitoring severity, where the monitoring severity of the first monitoring mode is the highest, the monitoring severity of the third monitoring mode is the lowest, and even monitoring may not be required, and the monitoring implementation process in each monitoring mode may refer to the description of the corresponding part of the embodiment below.

It should be understood that, in combination with the above analysis, for the service to be inspected with higher importance, the higher the monitoring severity of the monitored object of the service to be inspected is, the closer the determined monitoring mode is or the first monitoring mode is, that is, the higher the importance level of the service to be inspected of different service types is, the greater the corresponding target shooting frequency is. The application does not limit the acquisition mode and the representation mode of the corresponding relation between different service types and each monitoring mode of each service.

Step S23, if the determined monitoring mode is the first monitoring mode, obtaining a target shooting frequency matched with the service type, and shooting an auditing state of an audited service to be audited by a monitored object by an image collector;

in combination with the description of the relationship between the shooting frequencies in the above embodiment, for the to-be-checked service with higher importance, the higher shooting frequency may be configured, so the present application may determine in advance the relationship between different service types, different monitored objects and each shooting frequency according to the requirements of the actual application scenario, and the specific determination method may be according to, but not limited to, the description of the corresponding portion of the above embodiment. In this way, in the actual monitoring process, after determining the service type of the service to be audited and auditing the monitored object of the service to be audited, the target shooting frequency of the image collector for shooting the auditing state of the monitored object auditing the service to be audited can be determined according to the predetermined relationship, and the specific implementation process is not described in detail.

It should be noted that, the implementation manner of the step S11 of the present application is not limited to the technical solutions described in the steps S21 to S23 of the present embodiment, and the descriptions of the steps S21 to S23 of the present embodiment may be appropriately adjusted according to the actual needs and the inventive concept, which are all included in the protection scope of the present application, and the present embodiment is not described in detail herein.

Step S24, in the process of auditing the business to be audited by the monitored object, acquiring continuous multi-frame auditing state images shot by the image collector according to the target shooting frequency;

the implementation process of step S24 may refer to the description of the corresponding parts of the above-described embodiment.

Step S25, inputting the continuous multi-frame auditing state image and the target shooting frequency into an auditing time statistical model, and outputting the effective auditing time of the auditing business to be audited of the monitored object;

the auditing time statistical model can be obtained by training first sample data based on a neural network algorithm and a genetic algorithm, the first sample data can comprise different sample shooting frequencies and corresponding multi-frame sample auditing state images, and the specific training process of the auditing time statistical model is not described in detail.

In one possible implementation manner, when the audit time statistical model is trained, different sample shooting frequencies and continuous multi-frame sample audit state images shot at different shooting frequencies can be obtained, the sample shooting frequencies and the corresponding continuous multi-frame sample audit state images are input into a neural network, learning and training are performed according to a genetic algorithm until training constraint conditions are met, and the neural network model obtained through the last training is determined to be the audit time statistical model. The training constraint condition comprises the steps of utilizing test sample data to carry out accuracy verification on the output of the neural network model obtained through each training, determining that the obtained accuracy verification result meets accuracy requirements, for example, the accuracy verification result obtains a preset accuracy threshold value and the like.

In practical application, for the audit state image captured in the above manner, the audit state of the auditor (i.e. the monitored object) in each two frames of audit state images can be analyzed through manual data, and the effective audit time of the auditor is obtained according to the obtained audit state and shooting time, and then the effective audit time can be determined as historical data for training and verifying the audit time statistical model.

As described above for the audit time statistical model of the present application, a genetic algorithm may be used to optimize a conventional neural network, and the optimized neural network model may be used to learn and train the first sample data to improve the model output accuracy. In the model training process, training parameters such as weights and thresholds in the neural network can be realized by utilizing a genetic algorithm, for example, the number of parameters to be trained is determined by the genetic algorithm, the learning training of the neural network is completed according to the kolmogorov principle, and the specific learning training process can be determined by referring to the genetic algorithm and the operation principle of the neural network.

The neural network may be a neural network with a three-layer network structure, a hidden layer may be configured for the hidden layer of the neural network, and the number of nodes of the hidden layer may be determined by adopting a trial and error method, and detailed implementation process is not described.

In order to ensure the output accuracy of the model obtained by training, the neural network model obtained by training can be verified by utilizing test sample data, namely, a test auditing state image and a test shooting frequency in the test sample data are input into the neural network model to obtain effective auditing time to be verified, the effective auditing time to be verified is compared with the corresponding test effective auditing time in the test sample data, if the time difference between the effective auditing time to be verified and the corresponding test effective auditing time in the test sample data is smaller than a time threshold value, the output accuracy of the neural network model can be considered to meet the requirement, and the output accuracy can be used as an auditing time statistical model; conversely, training of the neural network model needs to be continued in the manner described above, but is not limited to the verification manner described in this embodiment.

And S26, inputting the effective auditing time and the portrait information corresponding to the monitored object into an auditing verification model, and outputting a monitoring result whether the auditing result of the monitored object to the auditing service is effective.

The verification model can be obtained by training second sample data based on an artificial intelligence algorithm, the second sample data can comprise different sample verification time and portrait information of different monitored objects, and the training process of the verification model to be verified is not described in detail.

In the application, the portrait information can be determined according to the parameters such as the historical behavior data and the personal attribute information of the auditors, which are determined above, and the portrait information characterizes the auditing state of the auditors, the auditing time standard of various business to be audited, and the like.

It should be noted that, how to use the obtained effective auditing time to obtain the monitoring result of the business to be audited for the monitored object is not limited to the model processing mode described in this embodiment, and the time comparison mode of the corresponding parts of the above embodiment may also be used, and the application is not described in detail one by one.

In addition, in practical application of the present application, regarding the content of the obtained monitoring result that whether the auditing result of the business to be audited by the monitored object is valid or not, and the steps executed by the computer device after obtaining the monitoring result, reference may be made to, but not limited to, the description of the corresponding parts of the above embodiments.

In summary, in this embodiment, in order to obtain more accurate and real auditing time of the monitored object auditing service to be audited, compared with the above embodiment provided by the present application, the present embodiment will be trained in advance to obtain an accurate and real auditing time statistical model of effective auditing time by using the auditing status image and the photographing frequency, so that in the process of auditing the monitored object auditing service to be audited, the image collector is controlled to directly input the obtained continuous multi-frame auditing status image and the target photographing frequency into the auditing time statistical model after photographing the continuous multi-frame auditing status image according to the target photographing frequency, thereby quickly and accurately obtaining the effective auditing time of the monitored object auditing service to be audited, and further reasonably verifying the effective auditing time by using the auditing time standard of the monitored object to obtain whether the auditing result of the service to be audited is reliable or not, so as to determine whether to recheck or enter the next auditing link. Compared with the auditing time of the auditing service which is obtained only by the time point of starting auditing service and the time point of ending auditing service with auditing service, the auditing time obtaining method provided by the application is more accurate and reliable, thereby ensuring the reliability and accuracy of the monitoring result of the auditing service of the monitored object.

When verifying the effective auditing time, in order to improve the verification efficiency and reliability, the embodiment proposes to divide the auditing personnel into a plurality of categories and obtain the portrait information of each category of auditing personnel, so as to train and obtain an auditing verification model for verifying whether the auditing time is effective or reasonable according to each portrait information and auditing time, thus, after obtaining the accurate effective auditing time according to the above mode, the portrait information corresponding to the monitored object can be determined, and then the effective auditing time and the portrait information are input into the auditing verification model, thus, the monitoring result of whether the auditing result of the monitored object on the business to be audited is reasonable can be obtained quickly and accurately, but the method is not limited to the implementation mode.

Referring to fig. 5, a flow chart of another alternative example of the service audit monitoring implementation method according to the present application may be a further alternative refinement implementation manner of the service audit monitoring implementation method according to the foregoing embodiment, where the present embodiment mainly describes a manner of obtaining an audit time standard of a monitored object, and for other implementation steps, description of corresponding parts of the foregoing embodiment may be referred to, which is not repeated in this embodiment. As shown in fig. 5, the method may include:

Step S31, historical behavior data of the monitored object is obtained;

the historical behavior data can comprise related record data of various businesses which are audited in the past by the monitored object, such as attribute information of the audited businesses, effective audit time spent on auditing the businesses and the like.

Step S32, according to the historical behavior data, determining an audit time standard corresponding to the object category to which the monitored object belongs from audit time standards corresponding to each of the preset multi-category objects;

regarding the process of obtaining the audit time standard corresponding to each of the different types of objects, reference may be made to the description of the corresponding parts of the above embodiment, which is not repeated in this embodiment.

Step S33, verifying whether the effective auditing time accords with the auditing time standard of the monitored object, if so, entering step S34; if not, executing step S35;

and step S34, determining that the auditing result of the auditing business to be audited by the monitored object is effective.

And step S35, determining that the auditing result of the auditing business to be audited by the monitored object is invalid, and outputting the review prompt information.

The review prompt information is used for reminding the monitored object to review the business to be reviewed, and the output mode of the review prompt information is not limited.

Under the condition that the verification result is in accordance, the effective auditing time of the monitored object to the auditing service is reasonable, and the auditing result to be audited is correct and effective; otherwise, the effective auditing time of the business to be audited by the monitored object can be considered unreasonable, the auditing result to be audited is considered incorrect, and the business to be audited can be audited again or can be transferred to other auditing personnel for rechecking, and the application is not limited to the above.

It can be seen that, in this embodiment, in each auditing link of a service to be audited, the auditing process of the corresponding auditor can be monitored according to the above manner, and under the condition that the auditing time of the service to be audited is unreasonable and the auditing result is invalid, remedial measures are timely made, so that the next auditing link of the service to be audited cannot be directly entered, and the problem that is discovered only in the last auditing link (or the auditing link at the back) is avoided, so that the service to be audited must be returned again, which is time-consuming and laborious, and meanwhile, the waiting time of a client is increased and the client experience is reduced.

In some embodiments of the present application, after determining a monitoring mode of a monitored object of a service to be audited according to the above manner, if the monitoring mode is a second monitoring mode, average audit time of the same type of service of the service to be audited by the monitored object can be obtained, and current audit time of the service to be audited by the monitored object is counted; and obtaining a monitoring result of whether the auditing result of the business to be audited aiming at the monitored object is effective or not according to the comparison result of the current auditing time and the average auditing time. If the monitoring mode is the third monitoring mode, the response to the monitoring request aiming at the auditing state of the business to be audited by the monitored object is forbidden, namely, the auditing process of the business to be audited is not required to be supervised.

Therefore, according to the embodiment of the application, the monitoring modes of all the services to be checked can be divided into three monitoring modes according to the importance degree of the services to be checked (namely, the content of the checking page), and in practical application, the corresponding monitoring modes can be flexibly selected according to the importance degree of the services to be checked which are required to be checked at the time to realize the supervision of practical auditors, but the monitoring method is not limited to the implementation method described in the embodiment.

In a possible implementation manner, the configuration content of the different monitoring modes can be stored in a database in the system in advance, so that in the actual monitoring process, the computer equipment can read the configuration content and determine the monitoring mode adopted in the auditing and monitoring process of the content to be audited according to the configuration content, and the determined monitoring mode can be output to inform the monitored personnel, thereby reminding the monitored personnel to audit the business to be audited seriously.

Referring to fig. 6, a schematic structural diagram of still another alternative example of a service audit monitoring implementation apparatus according to the present application, where the apparatus may be applicable to the above-mentioned computer device, as shown in fig. 6, the apparatus may include:

a monitoring parameter obtaining module 31, configured to obtain monitoring parameters for a service to be checked and a monitored object that checks the service to be checked;

Wherein the monitoring parameters include: and the image collector shoots the target shooting frequency of the auditing state of the to-be-audited business audited by the monitored object.

An audit state image obtaining module 32, configured to obtain continuous multi-frame audit state images captured by the image capturing device according to the target capturing frequency during the process of auditing the to-be-audited service by the monitored object;

an effective auditing time obtaining module 33, configured to obtain an effective auditing time of the monitored object for auditing the service to be audited according to the continuous multi-frame auditing status image and the target shooting frequency;

in some embodiments, as described with reference to fig. 7, the valid audit time obtaining module 33 may include:

the auditing time statistic mode processing unit 331 is configured to input the continuous multi-frame auditing state image and the target shooting frequency into an auditing time statistic model, and output an effective auditing time of the monitored object for auditing the service to be audited;

In one possible implementation, as shown in fig. 7, to implement the training of the audit time statistical model, the valid audit time obtaining module 33 may further include:

a first sample data acquiring unit 332, configured to acquire different sample capturing frequencies, and continuous multi-frame sample audit status images captured at the different capturing frequencies;

the model training unit 333 is configured to input the sample shooting frequency and the corresponding continuous multi-frame sample auditing state image into a neural network, perform learning training according to a genetic algorithm until a training constraint condition is satisfied, and determine a neural network model obtained by final training as an auditing time statistical model;

And the effective auditing time verification module 34 is configured to verify the effective auditing time according to the auditing time standard of the monitored object, so as to obtain a monitoring result of auditing the service to be audited for the monitored object.

In some embodiments, the apparatus may further include:

The historical behavior data acquisition module is used for acquiring historical behavior data of the monitored object;

the auditing time standard determining module is used for determining auditing time standards corresponding to the object types of the monitored objects from the auditing time standards corresponding to the preset multi-type objects according to the historical behavior data;

based on this, the valid audit time verification module 34 may include:

an audit time verification unit, configured to verify whether the effective audit time meets an audit time standard of the monitored object;

and the first determining unit is used for determining that the auditing result of the monitored object to the business to be audited is effective under the condition that the verifying result of the auditing time verifying unit is yes.

The second determining unit is used for determining that the auditing result of the monitored object on the business to be audited is invalid under the condition that the verifying result of the auditing time verifying unit is negative;

and the review prompt information output unit is used for outputting review prompt information when the monitored object is determined to be invalid on the review result of the business to be reviewed, and the review prompt information is used for reminding the monitored object to review the business to be reviewed again.

In still other embodiments of the present application, the valid audit time verification module 34 may also include:

the auditing and verifying module processing unit is used for inputting the effective auditing time and the portrait information corresponding to the monitored object into an auditing and verifying model and outputting a monitoring result of whether the auditing result of the monitored object on the business to be audited is effective or not;

In still other embodiments of the present application, the monitoring parameter acquiring module 31 may include:

a service type acquisition unit for acquiring the service type of the service to be checked;

the monitoring mode determining unit is used for determining a monitoring mode of the monitored object of the service to be checked according to the service type;

the target shooting frequency obtaining unit is used for obtaining the target shooting frequency matched with the service type when the monitoring mode is the first monitoring mode, and the image collector shoots the monitored object to check the checking state of the service to be checked;

Based on this, the above apparatus may further include:

the average auditing time acquisition device is used for acquiring the average auditing time of the same type of business of the business to be audited, which is audited by the monitored object, under the condition that the monitoring mode is a second monitoring mode;

the current auditing time statistics module is used for counting the current auditing time of the to-be-audited business audited by the monitored object;

the current auditing time comparison module is used for obtaining a monitoring result of whether the auditing result of the business to be audited aiming at the monitored object is effective or not according to the comparison result of the current auditing time and the average auditing time;

and the monitoring request processing module is used for prohibiting responding to the monitoring request for checking the checking state of the business to be checked aiming at the monitored object under the condition that the monitoring mode is a third monitoring mode.

It should be noted that, regarding the various modules, units, and the like in the foregoing embodiments of the apparatus, the various modules and units may be stored as program modules in a memory, and the processor executes the program modules stored in the memory to implement corresponding functions, and regarding the functions implemented by each program module and the combination thereof, and the achieved technical effects, reference may be made to descriptions of corresponding parts of the foregoing method embodiments, which are not repeated herein.

The application also provides a storage medium, and a program is stored on the storage medium, and when the program is executed by a processor, the steps of the business auditing processing method are realized, and the specific implementation process can be referred to the description of the corresponding parts of the embodiment of the method.

Finally, it should be noted that, in the present description, each embodiment is described in a progressive or parallel manner, and each embodiment is mainly described as different from other embodiments, where identical and similar parts of each embodiment are referred to each other. For the apparatus, system and computer device disclosed in the embodiments, since the apparatus, system and computer device correspond to the methods disclosed in the embodiments, the description is simpler, and the relevant points refer to the description of the method section.

The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. The method for realizing business audit monitoring is characterized by comprising the following steps:

acquiring monitoring parameters aiming at a service to be audited and a monitored object of the service to be audited, wherein the monitoring parameters comprise: the image collector shoots a target shooting frequency of the auditing state of the to-be-audited business audited by the monitored object;

verifying the effective auditing time according to the auditing time standard of the monitored object to obtain a monitoring result of auditing the business to be audited aiming at the monitored object;

the obtaining the monitoring parameters of the monitored object aiming at the to-be-checked service and checking the to-be-checked service comprises the following steps:

acquiring the service type of the service to be checked;

If the monitoring mode is a first monitoring mode, obtaining a target shooting frequency matched with the service type, and shooting the auditing state of the service to be audited by the monitored object through an image collector; the higher the importance level of the business to be checked of different business types is, the larger the corresponding target shooting frequency is.

2. The method according to claim 1, wherein the obtaining the effective auditing time of the auditing of the service to be audited by the monitored object according to the continuous multi-frame auditing status image and the target shooting frequency includes:

3. The method of claim 2, wherein the training process of the audit time statistical model comprises:

Acquiring continuous multi-frame sample auditing state images shot at different sample shooting frequencies;

4. The method according to claim 1, wherein the obtaining manner of the audit time standard of the monitored object includes:

acquiring historical behavior data of the monitored object;

5. The method according to claim 1, wherein verifying the effective audit time according to the audit time standard of the monitored object, to obtain the monitoring result of the audit service for the monitored object, comprises:

6. The method according to claim 4 or 5, characterized in that the method further comprises:

7. The method according to any one of claims 1-5, further comprising:

8. A business audit monitoring implementation apparatus, the apparatus comprising:

the system comprises a monitoring parameter acquisition module, a monitoring parameter analysis module and a monitoring parameter analysis module, wherein the monitoring parameter acquisition module is used for acquiring monitoring parameters aiming at a service to be audited and a monitored object of the service to be audited, and the monitoring parameters comprise: the image collector shoots a target shooting frequency of the auditing state of the to-be-audited business audited by the monitored object;

the effective auditing time verification module is used for verifying the effective auditing time according to the auditing time standard of the monitored object to obtain a monitoring result of auditing the business to be audited aiming at the monitored object;

wherein, the monitoring parameter acquisition module includes:

the target shooting frequency obtaining unit is used for obtaining the target shooting frequency matched with the service type when the monitoring mode is the first monitoring mode, and the image collector shoots the monitored object to check the checking state of the service to be checked; the higher the importance level of the business to be checked of different business types is, the larger the corresponding target shooting frequency is.

9. A business audit monitoring implementation system, the system comprising:

a computer device, the computer device comprising:

a communication interface;

a memory for storing a program for implementing the business audit monitoring implementing method according to any one of claims 1 to 7;

a processor for loading and executing the program stored in the memory to implement the steps of the business audit monitoring implementation method according to any of claims 1-7.