CN117196306A - Method, apparatus, device, storage medium and program product for determining operation risk - Google Patents
Method, apparatus, device, storage medium and program product for determining operation risk Download PDFInfo
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Abstract
The present application relates to an operation risk determination method, apparatus, device, storage medium and program product. Relates to the technical field of artificial intelligence. The method comprises the following steps: acquiring current operation data and a current facial image corresponding to a target user when operating a service system in a current period; determining a current state score of the target user according to the current operation data, the current facial image and the work type corresponding to the current time period; the work types include: overtime and non-overtime types; and determining the operation risk of the target user when the service system is operated in the current period according to the relation between the current state score of the target user and the historical reference score. By adopting the method, the current operation risk of the user can be determined under the condition that no additional workload is added to the user.
Description
Technical Field
The present application relates to the field of artificial intelligence technology, and in particular, to an operation risk determining method, apparatus, device, storage medium, and program product.
Background
With the development of computer technology, users often need to operate some business systems during the course of work. For some scenes with high requirements on operation safety, the operation risk of the user operating the service system needs to be measured based on the working state when the user operates the service system. For example, a large number of manual steps exist in the online process of the business system of the financial institution, and when a user has wrong operation, the online operation of the business system can be greatly influenced.
Currently, the working state of a user can be judged by letting the user perform a specified operation at a fixed frequency, but this way increases the workload of the user, bringing about a countervailing effect.
Disclosure of Invention
Based on this, it is necessary to provide an operation risk determining method, apparatus, device, storage medium and program product, which are capable of determining a current operation risk of a user without adding an additional workload to the user, in view of the above-mentioned technical problems.
In a first aspect, the present application provides a method for determining operational risk, including:
acquiring current operation data and a current facial image corresponding to a target user when operating a service system in a current period;
determining a current state score of the target user according to the current operation data, the current facial image and the work type corresponding to the current time period; the work types include: overtime and non-overtime types;
and determining the operation risk of the target user when the service system is operated in the current period according to the relation between the current state score of the target user and the historical reference score.
In one embodiment, determining the current status score of the target user according to the current operation data, the current face image and the work type corresponding to the current period of time includes:
Inputting the current operation data and the work type corresponding to the current time period into an operation scoring model to obtain the current operation score of the target user;
inputting the current facial image and the work type corresponding to the current time period into a look scoring model to obtain the current look score of the target user;
and determining the current state score of the target user according to the current operation score and the current state score of the target user.
In one embodiment, determining the current state score of the target user according to the current operation score and the current state score of the target user includes:
according to the operation weight and the attitude weight of the target user, carrying out weighted summation processing on the current operation score and the current attitude score to obtain the current state score of the target user;
wherein the operational weight is greater than the mental weight.
In one embodiment, the current operational data includes: inputting the content and frequency of the operation, the position and frequency of the clicking operation, the frequency and duration of the stay operation, the frequency of the preset component of the clicking service system, the frequency of executing the preset logic of the service system and the frequency of triggering the preset key position; the preset key positions are preset key positions on external operation equipment of the service system.
In one embodiment, determining the operational risk of the target user when operating the business system in the current period according to the relationship between the current state score and the historical reference score of the target user comprises:
determining a target score difference between the current status score of the target user and the historical reference score;
and determining the operation risk of the target user when the service system is operated in the current period according to the relation between the target score difference value and the preset score threshold value.
In one embodiment, the historical reference score comprises: a first historical state score corresponding to the target user when operating the service system in the historical period and/or a second historical state score corresponding to the associated user of the target user when operating the service system in the historical period;
accordingly, determining a target score difference between the current status score and the historical reference score of the target user includes:
determining a first score difference between the current status score of the target user and the first historical status score and a second score difference between the current status score of the target user and the second historical status score;
and determining a target score difference value according to the first score difference value and the second score difference value.
In one embodiment, determining the operation risk of the target user when operating the service system in the current period according to the relationship between the target score difference value and the preset score threshold value includes:
if the target scoring difference value is smaller than a first preset scoring threshold value, determining that the operation risk of the target user in the current period of time when the service system is operated is a first risk level;
if the target scoring difference value is larger than or equal to the first preset scoring threshold value and smaller than the second preset scoring threshold value, determining that the operation risk of the target user in the current period of time when the service system is operated is a second risk level;
if the target scoring difference value is greater than or equal to a second preset scoring threshold value, determining that the operation risk of the target user in the current period of time when the service system is operated is a third risk level;
the first risk level is smaller than the second risk level, and the second risk level is smaller than the third risk level.
In one embodiment, the method further comprises:
if the operation risk level is the second risk level, outputting risk prompt information to the target user;
and if the operation risk level is the third risk level, prohibiting the target user from operating the service operation system.
In a second aspect, the present application also provides an operation risk determining apparatus, including:
The operation information acquisition module is used for acquiring current operation data and a current facial image corresponding to a target user when the target user operates the service system in the current period;
the current state score determining module is used for determining the current state score of the target user according to the current operation data, the current face image and the work type corresponding to the current time period; the work types include: overtime and non-overtime types;
and the operation risk determining module is used for determining the operation risk of the target user when the service system is operated in the current period according to the relation between the current state score and the historical reference score of the target user.
In a third aspect, the present application also provides a computer device comprising a memory storing a computer program and a processor which when executing the computer program performs the steps of:
acquiring current operation data and a current facial image corresponding to a target user when operating a service system in a current period;
determining a current state score of the target user according to the current operation data, the current facial image and the work type corresponding to the current time period; the work types include: overtime and non-overtime types;
And determining the operation risk of the target user when the service system is operated in the current period according to the relation between the current state score of the target user and the historical reference score.
In a fourth aspect, the present application also provides a computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of:
acquiring current operation data and a current facial image corresponding to a target user when operating a service system in a current period;
determining a current state score of the target user according to the current operation data, the current facial image and the work type corresponding to the current time period; the work types include: overtime and non-overtime types;
and determining the operation risk of the target user when the service system is operated in the current period according to the relation between the current state score of the target user and the historical reference score.
In a fifth aspect, the application also provides a computer program product comprising a computer program which, when executed by a processor, performs the steps of:
acquiring current operation data and a current facial image corresponding to a target user when operating a service system in a current period;
determining a current state score of the target user according to the current operation data, the current facial image and the work type corresponding to the current time period; the work types include: overtime and non-overtime types;
And determining the operation risk of the target user when the service system is operated in the current period according to the relation between the current state score of the target user and the historical reference score.
According to the operation risk determining method, the device, the equipment, the storage medium and the program product, when the current state score of the target user is determined according to the current operation data and the current face image corresponding to the target user when the service system is operated in the current period, the work type corresponding to the current period is considered at the same time. Because the working states of the target users under different working types are generally different, the current state score of the target users is determined by combining the working types of the current time period, so that the determined current state score of the target users is more accurate. And then determining the operation risk of the target user when the service system is operated in the current period according to the relation between the current state score and the historical reference score of the target user. The current operation data and the current face data acquired in the whole process are acquired when the user works normally, and the working state and the operation risk of the user can be judged without the user to complete the specified operation, namely, the current operation risk of the user can be determined under the condition that no additional workload is added to the user.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the related art, the drawings that are required to be used in the embodiments or the related technical descriptions will be briefly described, and it is apparent that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to the drawings without inventive effort for those skilled in the art.
Fig. 1 is an application environment diagram of an operation risk determining method provided in this embodiment;
fig. 2 is a flowchart of a first operation risk determining method provided in the present embodiment;
fig. 3 is a schematic flow chart of determining an operation risk when a target user operates a service system in a current period according to the present embodiment;
fig. 4 is a flowchart of a second operation risk determining method according to the present embodiment;
fig. 5 is a block diagram of the first operation risk determining apparatus provided in the present embodiment;
fig. 6 is a block diagram of a second operation risk determining apparatus according to the present embodiment;
fig. 7 is a block diagram of a third operation risk determining apparatus provided in the present embodiment;
fig. 8 is a block diagram of a fourth operation risk determining apparatus provided in the present embodiment;
Fig. 9 is an internal structure diagram of a computer device according to the present embodiment.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
The operation risk determining method provided by the embodiment of the application can be applied to an application environment shown in fig. 1. In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in FIG. 1. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is used to store relevant data for operational risk determination. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program, when executed by the processor, enables a determination of a risk of a current operation of the target user.
In an exemplary embodiment, as shown in fig. 2, there is provided an operation risk determining method, which is described by taking an example that the method is applied to the computer device in fig. 1, and includes the following steps:
s201, current operation data and a current face image corresponding to a target user when the service system is operated in a current period are obtained.
The target user is a user who has a requirement for operating the service system, and may be, for example, a company employee, and the work is completed through the service system. For example, in the context of a financial institution system commissioning, the target user may be an employee performing the commissioning operation. The business system may be various types of business systems, and may be, for example, a business system for handling asset transfer in a financial institution. The current operation data may be operation data of the target user for the service system in the current period. The current face image may be an image of the target user at the current time acquired by the image pickup device.
Illustratively, the current operation data may be content and frequency of input operations performed for the business system in a near-time period, location and frequency of click operations, frequency and duration of stay operations, frequency of clicking preset components of the business system, frequency of executing preset logic of the business system, and frequency of triggering preset key positions; the preset key is a preset key on an external operation device of the service system, for example, a preset key on an external input device (such as a keyboard) connected with the service system, and exemplary preset keys may be an escape key (Esc), a Delete key (Backspace and Delete), and the like. The input operation is an input operation performed in the service system page. Illustratively, the content and frequency of the input operations include the text content entered by the target user in the text box in the business system page, as well as the frequency of entering text. The clicking operation is performed in the business system page by an external input device (such as a mouse) connected with the business system, and illustratively, the position and frequency of the clicking operation include the position and the clicking frequency of the target user clicking with the mouse in the business system page, and the number of times and the frequency of clicking the button in the business system page. The stay operation indicates that the target user does not perform any operation in the business system page. The frequency and duration of stay operations include the dwell time and frequency between input operations or click operations by the target user on the business system page. The preset logic of the service system is predetermined operation logic on the service system, such as account login logic (account is input and password is input to complete login).
Specifically, the embodiment may collect, in real time, corresponding operation data when the target user operates the service system, and a face image of the target user. And then, finishing all operation data of the target user in a preset period into current operation data of the target user, and taking all face images of the target user in the preset period as current face images of the target user.
S202, determining the current state score of the target user according to the current operation data, the current face image and the work type corresponding to the current period.
The work types include: overtime and non-overtime types. The current state score is a scoring result used for representing the working state of the target user. The current status score may be, for example, a percentile or a ten-way score.
Optionally, in this embodiment, the current operation data, the current face image, and the work type corresponding to the current period of the target user obtained in S201 may be input into a pre-trained current state score determining model, where the current state score determining model analyzes and processes the received data, and outputs the current state score of the target user.
Further, since the current operation data and the current face image of the target user belong to two types of data, in order to make the current state scoring result of the target user more accurate, the embodiment may also input the current operation data and the work type corresponding to the current period into the operation scoring model to obtain the current operation score of the target user; inputting the current facial image and the work type corresponding to the current time period into a look scoring model to obtain the current look score of the target user; and determining the current state score of the target user according to the current operation score and the current state score of the target user. The operation scoring model may be a pre-trained model that can analyze current operation data of the user and output scoring results (i.e., current operation scores) obtained for the operation of the user. Correspondingly, the look scoring model may be a pre-trained model capable of analyzing a current facial image of the user and outputting a scoring result (i.e., a current look score) obtained for the look of the user.
Specifically, the present embodiment inputs the current operation data of the target user and the work type corresponding to the current period into the operation scoring model, and determines the current operation score of the target user. And inputting the current facial image of the target user and the work type corresponding to the current time period into a look scoring model, and determining the current look score of the target user. The current state score of the target user is then determined from the current operation score and the current look score, and illustratively, the sum of the current operation score and the current look score may be taken as the current state score. Or the current operation score and the current state score are weighted and summed according to the operation weight and the state weight of the target user to obtain the current state score of the target user; the operation weight is an influence weight coefficient of the operation data of the target user on the current state score; the mental state weight is the weight coefficient of the influence of the face image of the target user on the current state score. The operation weight and the magic weight are preset, and the operation weight is greater than the magic weight. The current state score of the target user is determined by carrying out weighted summation on the current operation score and the current state score, and the current state score of the target user can be more accurate by setting the operation weight larger (the operation data can better represent the working state of the target user).
Since the working state of the target user in the non-overtime mode is generally different from the working state of the target user in the overtime mode, for example, the state of the target user in the overtime mode is generally worse than the state in the non-overtime mode on the premise that the target user works in the same working state. For example, if the current state of the target user in the non-overtime type is scored as 60 hours, the target user is in a normal working state. However, if the target user works in the same working state (the operation data and the face image are the same) in the overtime type, the current state score may be only 50, namely, the risk state. Accordingly, it can be understood that when the operation scoring model is used for processing the data, the work types corresponding to the current time period are input at the same time, so that scoring can be completed by different scoring logics when the operation scoring model is used for processing the operation data under different work types. That is, the identical operation data and the different work types are input into the operation scoring model, and the output operation scoring results are different.
S203, determining the operation risk of the target user when the service system is operated in the current period according to the relation between the current state score of the target user and the historical reference score.
The historical reference score may be a preset fixed reference score value. Or a reference score value (described in the subsequent embodiments) that is updated continuously according to the difference in the current period. Operational risks can be classified as risk-free and risk-bearing. Of course, in order to make the determination of the operation risk more strict, the operation risk may be further divided into a first risk level, a second risk level, and a third risk level, which will be described in the following embodiments.
Alternatively, taking the historical reference score as a fixed reference score value as an example, the embodiment may compare the current status score of the target user determined in S202 with the historical reference score, and determine the operation risk when the target user operates the service system in the current period according to the comparison result. For example, if the current state score of the target user is greater than the historical reference score, determining that the operation risk is no risk when the target user operates the service system in the current period; otherwise, determining that the operation risk is at risk when the target user operates the service system in the current period.
In the operation risk determining method, when determining the current state score of the target user according to the current operation data and the current face image corresponding to the target user when operating the service system in the current period, the work type corresponding to the current period is considered at the same time. Because the working states of the target users under different working types are generally different, the current state score of the target users is determined by combining the working types of the current time period, so that the determined current state score of the target users is more accurate. And then determining the operation risk of the target user when the service system is operated in the current period according to the relation between the current state score and the historical reference score of the target user. The current operation data and the current face data acquired in the whole process are acquired when the user works normally, and the working state and the operation risk of the user can be judged without the user to complete the specified operation, namely, the current operation risk of the user can be determined under the condition that no additional workload is added to the user.
In one embodiment, the above-mentioned process of S203 is described in detail, and as shown in fig. 3, the method includes the following steps:
s301, determining a target score difference value between the current state score of the target user and the historical reference score.
Wherein the target score difference may be a difference between the current status score of the target user and the historical reference score.
In this embodiment, the current state score of the target user may be directly differentiated from the preset historical reference score, and the difference between the current state score and the preset historical reference score is used as the target score difference.
Optionally, in the case that the historical reference score is a reference score value that is continuously updated according to the difference of the current period, the historical reference score may include a first historical state score corresponding to the target user when operating the service system in the historical period, and/or a second historical state score corresponding to the associated user of the target user when operating the service system in the historical period. Wherein the first historical state score may be a mean of state scores of the target user over the historical period. The second historical state score may be a mean of state scores of colleagues of the target user (i.e., associated users) over the historical period. At this time, the history reference score may vary according to the history period. Accordingly, the determination of the target score difference may be: determining a first score difference between the current status score of the target user and the first historical status score and a second score difference between the current status score of the target user and the second historical status score; and determining a target score difference value according to the first score difference value and the second score difference value.
Specifically, the embodiment may count the state scores corresponding to the target user when operating the service system in the history period, and take the average value of the state scores in the history period as the first history state score. And counting the corresponding state scores of the associated users of the target users when the service system is operated in the history period, and taking the average value of the state scores in the history period as a second history state score. Then, the current state score of the target user is differed from the first historical state score, and a first score difference value is determined; and then, the current state score of the target user is differed from the second historical state score, and a second score difference value is determined. Further, the target score difference is determined according to the first score difference and the second score difference, which may be exemplified by taking the average value of the first score difference and the second score difference as the target score difference, or respectively setting a threshold value for the first score difference and the second score difference, and taking the weighted sum of the first score difference and the second score difference as the target score difference. The target scoring difference value is more accurate.
S302, determining the operation risk of the target user when the business system is operated in the current period according to the relation between the target score difference value and the preset score threshold value.
The preset scoring threshold may be preset, and is used to determine whether the target scoring difference value meets a preset value. Alternatively, the preset scoring threshold may be one or two.
When the preset scoring threshold is one, the embodiment may compare the target scoring difference value with the preset scoring threshold, and when the target scoring difference value is greater than the preset scoring threshold, determine that the operation risk of the target user in the current period of time is a risk, otherwise determine that the operation risk of the target user in the current period of time is a risk-free operation risk.
When the preset scoring thresholds are two, the preset scoring thresholds may include a first preset scoring threshold and a second preset scoring threshold. At this time, the process of determining the operational risk of the target user when operating the service system in the current period may be to compare the target score threshold with the first preset score threshold and the second preset score threshold, respectively, and if the target score difference is smaller than the first preset score threshold, determine that the operational risk of the target user when operating the service system in the current period is the first risk level; if the target scoring difference value is larger than or equal to the first preset scoring threshold value and smaller than the second preset scoring threshold value, determining that the operation risk of the target user in the current period of time when the service system is operated is a second risk level; if the target scoring difference value is greater than or equal to a second preset scoring threshold value, determining that the operation risk of the target user in the current period of time when the service system is operated is a third risk level; the first risk level is smaller than the second risk level, and the second risk level is smaller than the third risk level. The first risk level may be understood as risk-free, the second risk level as medium risk, and the third risk level as high risk. According to the relation between the target scoring difference value and the first preset scoring threshold value and the second preset scoring threshold value, the operation risk of the target user when the business system is operated in the current period is determined, and the operation risk is classified into three types, so that the operation risk is determined more strictly.
In the above embodiment, a process of determining the operation risk of the target user when operating the service system in the current period is provided, a target score difference value between the current state score of the target user and the historical reference score is determined, and then the target score difference value is compared with a preset score threshold value, so that the operation risk of the target user in the current period is determined, and the efficiency of determining the operation risk of the target user when operating the service system in the current period can be improved.
Further, after determining the operation risk of the target user when operating the service system in the current period, in order to avoid affecting the service system, the embodiment may further output a corresponding risk prompt according to the operation risk of the target user, and if the operation risk level is the second risk level, for example, the risk prompt information is output to the target user; and if the operation risk level is the third risk level, prohibiting the target user from operating the service operation system. The risk prompting information is information for prompting the target user to adjust the working state, and for example, the target user can be prompted to suggest to work after rest through popup window of a business system interface of the target user, and the completed work is checked before the work.
Specifically, in this embodiment, when it is determined that the operation risk of the target user in the operation of the service system in the current period is a risk of wind, the target user may be prompted to perform work after rest; when the operation risk of the target user in the current period of operating the service system is determined to be high risk, the target user can be forbidden to operate the service system so as to avoid causing larger influence. For example, a prompt may be sent to the target user indicating that the target user is prohibited from operating the business system; the business system page corresponding to the target user can be locked; meanwhile, the corresponding manager of the notification of the working state of the target user can be also notified.
Further, taking the method as an example in a service system production scene, if it is detected that the user ratio of the operation risk in the second risk state or the third risk state is greater than the preset ratio threshold in the target user operating the service system in the current period, it is determined that the current production risk is higher, and the operation of the target user on the service system can be managed, for example, the operation is prohibited, and meanwhile, the current working state of the target user is notified to a corresponding manager.
In order to facilitate understanding of the present method by those skilled in the art, as shown in fig. 4, a detailed description is provided of the operation risk determining method provided in this embodiment, including:
S401, current operation data and a current face image corresponding to a target user when the service system is operated in a current period are obtained.
Wherein the current operation data includes: inputting the content and frequency of the operation, the position and frequency of the clicking operation, the frequency and duration of the stay operation, the frequency of the preset component of the clicking service system, the frequency of executing the preset logic of the service system and the frequency of triggering the preset key position; the preset key positions are preset key positions on external operation equipment of the service system.
S402, inputting the current operation data and the work type corresponding to the current time period into an operation scoring model to obtain the current operation score of the target user.
S403, inputting the current facial image and the work type corresponding to the current time period into the mental state scoring model to obtain the current mental state score of the target user.
S404, carrying out weighted summation processing on the current operation score and the current state score according to the operation weight and the state weight of the target user to obtain the current state score of the target user.
Wherein the operational weight is greater than the mental weight. The work types include: overtime and non-overtime types.
S405, determining a first score difference value between the current state score of the target user and the first historical state score and a second score difference value between the current state score of the target user and the second historical state score.
S406, determining a target score difference value according to the first score difference value and the second score difference value.
S407, determining the operation risk of the target user when the business system is operated in the current period according to the relation between the target score difference value and the preset score threshold value.
Specifically, if the target score difference value is smaller than a first preset score threshold value, determining that the operation risk of the target user in the current period of time when the service system is operated is a first risk level. If the target scoring difference value is larger than or equal to the first preset scoring threshold value and smaller than the second preset scoring threshold value, determining that the operation risk of the target user in the current period of time when the service system is operated is a second risk level; and outputting risk prompt information to the target user. If the target scoring difference value is greater than or equal to a second preset scoring threshold value, determining that the operation risk of the target user in the current period of time when the service system is operated is a third risk level; and the target user is prohibited from operating the business operating system. The first risk level is smaller than the second risk level, and the second risk level is smaller than the third risk level.
It should be understood that, although the steps in the flowcharts related to the embodiments described above are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.
Based on the same inventive concept, the embodiment of the application also provides an operation risk determining device for implementing the above related operation risk determining method. The implementation of the solution provided by the device is similar to the implementation described in the above method, so the specific limitation in the embodiments of the operation risk determining device or devices provided below may refer to the limitation of the operation risk determining method hereinabove, and will not be described herein.
In an exemplary embodiment, as shown in fig. 5, there is provided an operation risk determining apparatus 1 including: an operation information acquisition module 10, a current state score determination module 11, and an operation risk determination module 12, wherein:
an operation information obtaining module 10, configured to obtain current operation data and a current face image corresponding to a target user when operating the service system in a current period.
The current state score determining module 11 is configured to determine a current state score of the target user according to the current operation data, the current face image, and the work type corresponding to the current period.
The work types include: overtime and non-overtime types.
An operation risk determining module 12, configured to determine an operation risk when the target user operates the service system in the current period according to a relationship between the current state score and the historical reference score of the target user.
In one embodiment, as shown in fig. 6, the current state score determining module 11 includes a first scoring unit 110, a second scoring unit 111, and a current state score determining unit 112. Wherein:
the first scoring unit 110 is configured to input the current operation data and the work type corresponding to the current period into the operation scoring model, so as to obtain a current operation score of the target user.
And a second scoring unit 111, configured to input the current face image and the work type corresponding to the current period into the mental scoring model, so as to obtain a current mental score of the target user.
The current state score determining unit 112 is configured to determine a current state score of the target user according to the current operation score and the current mind score of the target user.
In one embodiment, the current state score determining unit 112 is specifically configured to perform weighted summation processing on the current operation score and the current mind score according to the operation weight and the mind weight of the target user, so as to obtain the current state score of the target user; wherein the operational weight is greater than the mental weight.
In one embodiment, the current operational data includes: inputting the content and frequency of the operation, the position and frequency of the clicking operation, the frequency and duration of the stay operation, the frequency of the preset component of the clicking service system, the frequency of executing the preset logic of the service system and the frequency of triggering the preset key position; the preset key positions are preset key positions on external operation equipment of the service system.
In one embodiment, as shown in fig. 7, the operational risk determination module 12 includes a target score difference determination unit 120 and an operational risk determination unit 121. Wherein:
the target score difference determining unit 120 is configured to determine a target score difference between the current status score of the target user and the historical reference score.
An operation risk determining unit 121, configured to determine an operation risk when the target user operates the service system in the current period according to a relationship between the target score difference value and a preset score threshold value.
In one embodiment, the historical reference score includes: a first historical state score corresponding to the target user operating the business system in the historical period and/or a second historical state score corresponding to the associated user of the target user operating the business system in the historical period. Accordingly, the target score difference determining unit 120 is specifically configured to determine a first score difference between the current status score of the target user and the first historical status score, and a second score difference between the current status score of the target user and the second historical status score; and determining a target score difference value according to the first score difference value and the second score difference value.
In one embodiment, the operation risk determining unit 121 is specifically configured to determine that the operation risk is the first risk level when the target user operates the service system in the current period if the target score difference is smaller than the first preset score threshold; if the target scoring difference value is larger than or equal to the first preset scoring threshold value and smaller than the second preset scoring threshold value, determining that the operation risk of the target user in the current period of time when the service system is operated is a second risk level; if the target scoring difference value is greater than or equal to a second preset scoring threshold value, determining that the operation risk of the target user in the current period of time when the service system is operated is a third risk level; the first risk level is smaller than the second risk level, and the second risk level is smaller than the third risk level.
In one embodiment, as shown in fig. 8, the operation risk determination device 1 further includes a risk prompting module 13 including a first prompting unit 130 and a second prompting unit 131. Wherein:
the first prompting unit 130 is configured to output risk prompting information to the target user if the operation risk level is the second risk level.
The second prompting unit 131 is configured to prohibit the target user from operating the service operating system if the operation risk level is the third risk level.
The respective modules in the above-described operation risk determination apparatus may be implemented in whole or in part by software, hardware, and a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one exemplary embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 9. The computer device includes a processor, a memory, an Input/Output interface (I/O) and a communication interface. The processor, the memory and the input/output interface are connected through a system bus, and the communication interface is connected to the system bus through the input/output interface. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is used to store data for operational risk determination. The input/output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a method of operational risk determination.
In an exemplary embodiment, a computer device, which may be a terminal, is provided, and an internal structure thereof may be as shown in fig. 9. The computer device includes a processor, a memory, an input/output interface, a communication interface, a display unit, and an input means. The processor, the memory and the input/output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input/output interface. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The input/output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless mode can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. The computer program is executed by a processor to implement a method of operational risk determination. The display unit of the computer device is used for forming a visual picture, and can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, can also be a key, a track ball or a touch pad arranged on the shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.
It will be appreciated by persons skilled in the art that the architecture shown in fig. 9 is merely a block diagram of some of the architecture relevant to the present inventive arrangements and is not limiting as to the computer device to which the present inventive arrangements are applicable, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
In one exemplary embodiment, a computer device is provided comprising a memory and a processor, the memory having stored therein a computer program, the processor when executing the computer program performing the steps of:
acquiring current operation data and a current facial image corresponding to a target user when operating a service system in a current period;
determining a current state score of the target user according to the current operation data, the current facial image and the work type corresponding to the current time period; the work types include: overtime and non-overtime types;
and determining the operation risk of the target user when the service system is operated in the current period according to the relation between the current state score of the target user and the historical reference score.
In one embodiment, a computer readable storage medium is provided having a computer program stored thereon, which when executed by a processor, performs the steps of:
Acquiring current operation data and a current facial image corresponding to a target user when operating a service system in a current period;
determining a current state score of the target user according to the current operation data, the current facial image and the work type corresponding to the current time period; the work types include: overtime and non-overtime types;
and determining the operation risk of the target user when the service system is operated in the current period according to the relation between the current state score of the target user and the historical reference score.
In one embodiment, a computer program product is provided comprising a computer program which, when executed by a processor, performs the steps of:
acquiring current operation data and a current facial image corresponding to a target user when operating a service system in a current period;
determining a current state score of the target user according to the current operation data, the current facial image and the work type corresponding to the current time period; the work types include: overtime and non-overtime types;
and determining the operation risk of the target user when the service system is operated in the current period according to the relation between the current state score of the target user and the historical reference score.
It should be noted that, the user information (including, but not limited to, the current operation data information of the user, the facial image of the user, etc.) and the data (including, but not limited to, the data for analysis, the stored data, the displayed data, etc.) related to the present application are both information and data authorized by the user or sufficiently authorized by each party, and the collection, use and processing of the related data are required to meet the related regulations.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magnetic random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (Phase Change Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like. The databases referred to in the embodiments provided herein may include at least one of a relational database and a non-relational database. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processor referred to in the embodiments provided in the present application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, or the like, but is not limited thereto.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples illustrate only a few embodiments of the application and are described in detail herein without thereby limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of the application should be assessed as that of the appended claims.
Claims (12)
1. A method of operational risk determination, the method comprising:
acquiring current operation data and a current facial image corresponding to a target user when operating a service system in a current period;
determining a current state score of the target user according to the current operation data, the current facial image and the work type corresponding to the current time period; the work types include: overtime and non-overtime types;
And determining the operation risk of the target user when the service system is operated in the current period according to the relation between the current state score of the target user and the historical reference score.
2. The method of claim 1, wherein the determining the current status score of the target user based on the current operation data and the current face image, and the type of work corresponding to the current time period, comprises:
inputting the current operation data and the work type corresponding to the current time period into an operation scoring model to obtain the current operation score of the target user;
inputting the current facial image and the work type corresponding to the current time period into a mental state scoring model to obtain the current mental state score of the target user;
and determining the current state score of the target user according to the current operation score and the current state score of the target user.
3. The method of claim 2, wherein determining the current state score of the target user based on the current operation score and the current state score of the target user comprises:
according to the operation weight and the mind weight of the target user, carrying out weighted summation on the current operation score and the current mind score to obtain the current state score of the target user;
Wherein the operational weight is greater than the mental weight.
4. A method according to any one of claims 1-3, wherein the current operational data comprises: inputting the content and frequency of the operation, the position and frequency of the clicking operation, the frequency and duration of the stay operation, the frequency of the preset component of the clicking service system, the frequency of executing the preset logic of the service system and the frequency of triggering the preset key position; the preset key positions are preset key positions on external operation equipment of the service system.
5. The method of claim 1, wherein determining the operational risk of the target user in operating the business system during the current period of time based on the relationship between the current status score of the target user and the historical reference score comprises:
determining a target score difference between the current status score of the target user and a historical reference score;
and determining the operation risk of the target user when operating the service system in the current period according to the relation between the target score difference value and a preset score threshold value.
6. The method of claim 5, wherein the historical reference score comprises: a first historical state score corresponding to a target user when operating a business system in a historical period and/or a second historical state score corresponding to an associated user of the target user when operating the business system in the historical period;
Accordingly, determining a target score difference between the current status score and the historical reference score of the target user includes:
determining a first score difference between the current status score of the target user and the first historical status score, and a second score difference between the current status score of the target user and the second historical status score;
and determining a target score difference value according to the first score difference value and the second score difference value.
7. The method of claim 5, wherein determining the operational risk of the target user in the current time period for operating the business system based on the relationship between the target score difference and a preset score threshold comprises:
if the target scoring difference value is smaller than a first preset scoring threshold value, determining that the operation risk of the target user in the current period of time when the service system is operated is a first risk level;
if the target scoring difference value is greater than or equal to a first preset scoring threshold value and smaller than a second preset scoring threshold value, determining that the operation risk of the target user in the current period of time when the business system is operated is a second risk level;
if the target scoring difference value is greater than or equal to a second preset scoring threshold value, determining that the operation risk of the target user in the current period of time when the service system is operated is a third risk level;
Wherein the first risk level is less than the second risk level, and the second risk level is less than the third risk level.
8. The method of claim 7, wherein the method further comprises:
if the operation risk level is the second risk level, outputting risk prompt information to the target user;
and if the operation risk level is the third risk level, prohibiting the target user from operating the service operation system.
9. An operation risk determination device, characterized in that the device comprises:
the operation information acquisition module is used for acquiring current operation data and a current facial image corresponding to a target user when the target user operates the service system in the current period;
the current state score determining module is used for determining the current state score of the target user according to the current operation data, the current face image and the work type corresponding to the current period; the work types include: overtime and non-overtime types;
and the operation risk determining module is used for determining the operation risk when the target user operates the service system in the current period according to the relation between the current state score of the target user and the historical reference score.
10. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any one of claims 1 to 8 when the computer program is executed.
11. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 8.
12. A computer program product comprising a computer program, characterized in that the computer program, when executed by a processor, implements the steps of the method of any one of claims 1 to 8.
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