CN114297017A

CN114297017A - Exception handling method and device, electronic equipment and storage medium

Info

Publication number: CN114297017A
Application number: CN202111486184.3A
Authority: CN
Inventors: 钱学名
Original assignee: Alibaba China Co Ltd
Current assignee: Alibaba China Co Ltd
Priority date: 2021-12-07
Filing date: 2021-12-07
Publication date: 2022-04-08

Abstract

The embodiment of the application provides an exception handling method, an exception handling device, electronic equipment and a storage medium, wherein the method comprises the following steps: acquiring first operation data corresponding to a touch screen interface; the touch screen interface is divided into at least two preset interface areas; according to the preset interface area and/or the environment data corresponding to the touch screen device, performing abnormity detection on the first operation data; outputting prompt information under the condition that the first operation data is abnormal; acquiring second operation data corresponding to the touch screen interface, and performing anomaly detection on the second operation data according to the preset interface area and/or the environment data corresponding to the touch screen equipment; and locking the touch screen interface and/or blocking the second operation data under the condition that the second operation data is abnormal. The method and the device for detecting the operation data can detect the abnormality of the operation data.

Description

Exception handling method and device, electronic equipment and storage medium

Technical Field

The embodiment of the application relates to the technical field of computers, in particular to an exception handling method, an exception handling device, electronic equipment and a storage medium.

Background

With the development of computer technology, touch screen devices are increasingly widely used. For example, the touch screen device may be applied in scenarios such as self-service ordering, self-service shopping, conference control, and the like.

In practical application, the operation of the touch screen is easily abnormal due to reasons such as abnormal driving or voltage of the touch screen device, remote attack on the touch screen device, and the like.

Disclosure of Invention

The embodiment of the application provides an exception handling method for carrying out exception detection on operation data.

Correspondingly, the embodiment of the application also provides electronic equipment and a storage medium, which are used for ensuring the realization and the application of the system.

In order to solve the above problem, an embodiment of the present application discloses an exception handling method, where the method includes:

acquiring first operation data corresponding to a touch screen interface; the touch screen interface is divided into at least two preset interface areas;

according to the preset interface area and/or the environment data corresponding to the touch screen device, performing abnormity detection on the first operation data;

outputting prompt information under the condition that the first operation data is abnormal;

acquiring second operation data corresponding to the touch screen interface, and performing anomaly detection on the second operation data according to the preset interface area and/or the environment data corresponding to the touch screen equipment;

and locking the touch screen interface and/or blocking the second operation data under the condition that the second operation data is abnormal.

In order to solve the above problem, an embodiment of the present application discloses an exception handling method, including:

acquiring operation data corresponding to a touch screen interface; the touch screen interface is divided into at least two preset interface areas;

according to the environment data corresponding to the touch screen equipment and/or the preset interface area, carrying out abnormity detection on the operation data;

and locking the touch screen interface and/or blocking the operation data under the condition that the operation data is abnormal.

displaying a touch screen interface; the touch screen interface is divided into at least two preset interface areas; the preset interface area comprises: the system comprises a first preset interface area, a second preset interface area and a control module, wherein the first preset interface area comprises at least one target control;

according to the preset interface area and/or the environment data corresponding to the touch screen equipment, performing abnormity detection on the operation data corresponding to the touch screen interface;

In order to solve the above problem, an embodiment of the present application discloses an electronic device, including: a processor; and a memory having executable code stored thereon, which when executed, causes the processor to perform the method as described in one or more of the above embodiments.

To address the above issues, embodiments of the present application disclose one or more machine-readable media having executable code stored thereon that, when executed, cause a processor to perform a method as described in one or more of the above embodiments.

Compared with the prior art, the embodiment of the application has the following advantages:

according to the method and the device, the operation data can be subjected to abnormity detection according to the environment data corresponding to the touch screen equipment and/or the preset interface area.

Firstly, the environment data corresponding to the touch screen device may be used to represent the environment where the touch screen device is located, and the environment data may reflect whether a preset target exists in the environment where the touch screen device is located. According to the method and the device, the probability of abnormal operation corresponding to the operation data can be determined according to whether the preset target exists in the environment where the touch screen device is located.

Secondly, according to the operation frequency corresponding to the preset interface region, the probability of abnormal operation corresponding to the operation point corresponding to the operation data can be determined, and then the abnormal detection of the operation data can be realized.

In addition, in the embodiment of the application, when the operation data has an abnormality, a corresponding processing mode is executed, for example, the touch screen interface is locked, or the operation data having the abnormality is blocked. These processing methods can reduce the influence of abnormal operation data on the service.

Drawings

FIG. 1A is an illustration of an application scenario of a touch screen device of an embodiment of the present application;

FIG. 1B is a schematic illustration of a self-service ordering device according to an embodiment of the present application;

FIG. 1C is an illustration of a conference terminal according to one embodiment of the present application;

FIG. 2 is a flow diagram of an exception handling method according to an embodiment of the present application;

FIG. 3 is an illustration of a predetermined interface area in a touch screen interface according to an embodiment of the present application;

FIG. 4A is a schematic diagram illustrating an embodiment of obtaining a preset interface area according to a historical operation point in a touch screen interface;

FIG. 4B is a schematic diagram illustrating an embodiment of obtaining a preset interface area according to a historical operation point in a touch screen interface;

FIG. 5 is a flow diagram of an exception handling method according to an embodiment of the present application;

FIG. 6 is a flow diagram illustrating an exception handling method according to an embodiment of the present application;

FIG. 7 is a flow diagram of an exception handling method according to an embodiment of the present application;

FIG. 8 is a block diagram of an exception handling apparatus according to an embodiment of the present application;

FIG. 9 is a schematic diagram of an exception handling apparatus according to another embodiment of the present application;

FIG. 10 is a schematic diagram of an exception handling apparatus according to yet another embodiment of the present application;

fig. 11 is a schematic structural diagram of an exemplary apparatus provided in one embodiment of the present application.

Detailed Description

In order to make the aforementioned objects, features and advantages of the present application more comprehensible, the present application is described in further detail with reference to the accompanying drawings and the detailed description.

The touch screen device can be applied to scenes such as self-service ordering, self-service shopping and conference control. In these scenarios, the touchscreen device may be in an unattended state. The unattended state may refer to unattended watching. The touch screen device may also be operated while in the unattended state. In practical applications, the operation data of the touch screen device is likely to be abnormal due to reasons such as abnormal driving or abnormal voltage of the touch screen device, remote attack on the touch screen device, and the occurrence of a preset object (such as an animal or a movable object) contacting the touch screen beside the touch screen device.

And the abnormal operation data affects the service corresponding to the touch screen equipment. Referring to fig. 1A, an illustration of an application scenario of a touch screen device according to an embodiment of the present application is shown, where the touch screen device 101 and the server 102 may be located in a wired or wireless network, and the touch screen device 101 and the server 102 perform data interaction through the wired or wireless network. In the case of receiving the operation data, the touch screen device 101 may send a corresponding request to the server 102, and the server 102 may process the request and return a corresponding response. For example, in a self-service order or self-service shopping, the request may include: a payment request, etc. In practical applications, abnormal operation data may send a large number of requests to the server, thereby increasing the burden of the server.

The method and the device for detecting the abnormity of the operation data of the touch screen equipment can detect the abnormity of the operation data of the touch screen equipment. The embodiment of the application can also execute a corresponding processing mode, such as locking the touch screen interface or blocking the abnormal operation data, when the corresponding abnormal detection result indicates that the operation data has an abnormality. These processing methods can reduce the influence of abnormal operation data on the service.

The embodiment of the application provides an exception handling method, which can be used for carrying out exception detection on operation data of a touch screen device, and specifically comprises the following steps: acquiring operation data corresponding to a touch screen interface; the touch screen interface is divided into at least two preset interface areas; according to the environment data corresponding to the touch screen equipment and/or the preset interface area, carrying out abnormity detection on the operation data; and locking the touch screen interface and/or blocking the operation data under the condition that the operation data is abnormal.

The environment data corresponding to the touch screen device can be used to characterize the environment in which the touch screen device is located. The environment data can reflect whether a preset target exists in the environment where the touch screen device is located, and therefore the environment data can be used as a basis for abnormal detection. For example, in a case where the environment data indicates that the first preset target (e.g., a person) does not exist in the environment where the touch screen device is located, the probability that the operation data is abnormal is high. For another example, in a case where the environment data indicates that a second preset target (such as an animal or a movable object) exists in the environment where the touch screen device is located, the probability that the operation data is abnormal is high.

The preset interface area in the touch screen interface may be an interface area with an operating frequency meeting a preset condition. Considering that the operation data in most cases correspond to normal operation and the operation data in few cases correspond to abnormal operation, the operation frequency corresponding to the interface region can reflect the probability of the abnormal operation corresponding to the operation point in the interface region. Generally, the higher the operation frequency corresponding to the interface region is, the lower the probability that the operation point in the interface region corresponds to abnormal operation is. Conversely, the lower the operation frequency corresponding to the interface region is, the higher the probability that the operation point in the interface region corresponds to abnormal operation is.

According to the method and the device, the preset interface area with the operation frequency meeting the preset conditions can be predetermined, and therefore under the condition that the operation data are obtained, the abnormality detection can be carried out on the operation data according to the preset interface area. Therefore, the probability of abnormal operation corresponding to the operation point corresponding to the operation data can be determined according to the operation frequency represented by the preset interface area.

The touch screen device of the embodiment of the application can be any device with a touch screen. For example, a touch screen device may include: the system comprises self-service ordering equipment, a conference terminal, self-service checkout equipment, virtual makeup trying equipment, scenic spot display equipment, electronic advertising equipment and the like. Fig. 1B shows a schematic diagram of a self-service ordering device, and fig. 1C shows a schematic diagram of a conference terminal, it can be understood that the embodiment of the present application is not limited to a specific touch screen device.

Method embodiment one

Referring to fig. 2, a flowchart illustrating steps of an exception handling method according to an embodiment of the present application is shown, which may specifically include the following steps:

step 201, obtaining operation data corresponding to a touch screen interface; the touch screen interface can be divided into at least two preset interface areas;

202, carrying out anomaly detection on the operation data according to the environment data corresponding to the touch screen equipment and/or the preset interface area;

and step 203, locking the touch screen interface and/or blocking the operation data under the condition that the operation data is abnormal.

The method shown in fig. 2 may be executed by a client running on a touch screen device, and may also be executed by a server, and it is understood that the embodiment of the present application does not impose a limitation on a specific execution subject of the method shown in fig. 2.

In step 201, the touch screen interface may be an interface provided by the touch screen device, and the touch screen interface may be presented on the touch screen. The touch screen interface may correspond to a service. Different services may correspond to different touch screen interfaces. For example, the touch screen interface corresponding to the self-service ordering service is different from the touch screen interface corresponding to the conference service. Moreover, for a class of services, different touch screen interfaces can be associated with different stages. Optionally, the touch screen interface corresponding to a category of services may include: main interface, primary interface, secondary interface, etc. For example, the main interface corresponding to the conference service may include: after the user triggers the join conference control, the main interface corresponding to the conference service may include: and controlling related spaces such as a screen projection control, a camera control, a microphone control and the like by the conference. It can be understood that a person skilled in the art may set a corresponding touch screen interface according to a service, and the embodiment of the present application does not impose a limitation on a specific touch screen interface.

In practical applications, touch information on the touch screen can be received and converted into operation data. For example, the operational data may include: position information of the operation point. The operational data may further include: operating time information, etc.

In step 202, environment data corresponding to the touch screen device can be used to characterize an environment in which the touch screen device is located. The environment data can reflect whether a preset target exists in the environment where the touch screen device is located, and therefore the environment data can be used as a basis for abnormal detection. For example, in a case where the environment data indicates that the first preset target (e.g., a person) does not exist in the environment where the touch screen device is located, the probability that the operation data is abnormal is high. For another example, in a case where the environment data indicates that a second preset target (such as an animal or a movable object) exists in the environment where the touch screen device is located, the probability that the operation data is abnormal is high.

In practical applications, the environment data may specifically include: and image data and/or sound data corresponding to the preset orientation environment of the touch screen device. The preset orientation environment may include: at least one of a front environment, a rear environment, a left environment, and a right environment. Can utilize image acquisition device (like leading camera), gather the image data that preset position environment corresponds, image data can include: an image or a video. The sound data corresponding to the preset azimuth environment can be collected by a sound collection device (such as a microphone).

In practical applications, the environmental data may be periodically collected, and the target environmental data matched with the operation data may be acquired from the periodically collected environmental data in a case where the first operation characteristic is matched with the second operation characteristic. For example, the acquisition time corresponding to the target environment data is within a second preset time period corresponding to the operation data; or, the acquisition time corresponding to the target environment data may also be later than the second preset time period, and of course, the acquisition time corresponding to the target environment data may also be earlier than the second preset time period. Alternatively, the environmental data may be collected where the first operational characteristic matches the second operational characteristic.

In one implementation, the performing anomaly detection on the operation data specifically includes: and detecting whether a preset target exists in the environment where the touch screen equipment is located according to the environment data corresponding to the touch screen equipment, and determining an abnormal detection result according to the corresponding target detection result.

The embodiment of the application can provide the following detection mode for detecting whether the preset target exists in the environment where the touch screen equipment is located:

the detection method 1,

The detection method 1 can perform image recognition on at least one frame of image matched with the operation data, and judge whether a preset target exists in the environment where the touch screen device is located according to the image recognition result.

Image recognition refers to a technique for processing, analyzing, and understanding an image with a machine to recognize various different patterns of image objects. In particular to the embodiment of the present application, a technology for processing, analyzing and understanding an image by using a machine to identify various image objects in different modes may be used, where, in general, an image object in an image may correspond to a certain image area in the image, and the image object in the image may include: articles, animals, humans, etc.

In a specific implementation, the image recognition result may include an image target, and it may be determined whether the image target is matched with a preset target, and if so, it may be determined that the preset target exists in an environment where the touch screen device is located. The preset targets may include: a person or the like, or the preset targets may include: a second predetermined target such as an animal or a movable object (e.g., a thread).

The detection method 2,

The detection mode 2 may match the sound data matched with the operation data with the sound data corresponding to the preset target, and determine whether the preset target exists in the environment where the touch screen device is located according to the matching result. By using the detection mode 2, whether preset targets such as people or animals exist in the environment where the touch screen equipment is located can be judged.

Detection means 3,

The detection mode 3 can convert the problem of detecting whether the preset target exists in the environment where the touch screen device is located into a binary problem. The binary problem may be solved via a data analyzer.

In an alternative embodiment of the present application, the mathematical model may be trained based on training data to obtain a data analyzer, which may characterize a mapping between input data (environmental data) and output data (classification results).

In particular implementations, historical environmental data may be labeled to obtain positive and negative examples. The positive sample can be environmental data with a preset target; the negative example may be environmental data where a preset target does not exist.

The mathematical model is a scientific or engineering model constructed by using a mathematical logic method and a mathematical language, and is a mathematical structure which is generally or approximately expressed by adopting the mathematical language aiming at the characteristic or quantity dependency relationship of a certain object system, and the mathematical structure is a relational structure which is described by means of mathematical symbols. The mathematical model may be one or a set of algebraic, differential, integral or statistical equations, and combinations thereof, by which the interrelationships or causal relationships between the variables of the system are described quantitatively or qualitatively. In addition to mathematical models described by equations, there are also models described by other mathematical tools, such as algebra, geometry, topology, mathematical logic, etc. Where the mathematical model describes the behavior and characteristics of the system rather than the actual structure of the system. The method can adopt methods such as machine learning and deep learning methods to train the mathematical model, and the machine learning method can comprise the following steps: linear regression, decision trees, random forests, etc., and the deep learning method may include: convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM), Gated cyclic units (GRU), and so on.

In a specific implementation, the environmental data corresponding to the operation data may be input to the data analyzer to obtain an output classification result of the data analyzer. The classification result may include: < Presence of Preset Objective > or < absence of Preset Objective >.

In practical application, whether a preset target exists in the environment where the touch screen device is located may be detected by using any one or a combination of the detection modes 1 to 3.

According to the corresponding target detection result, the abnormal detection result is determined, and the determination mode adopted in the embodiment of the application may specifically include any one or a combination of the following modes:

in the determination mode 1, when the first preset target (e.g., a person) does not exist in the environment where the touch screen device is located, it is described that the operation data is not triggered by the person, and therefore the probability that the operation data is abnormal is high. In this case, the probability that the operation data is abnormal can be obtained, for example, the probability value that the operation data is abnormal is set as the first probability value. Of course, the anomaly detection result can also be obtained: there is an exception to the operational data.

In the determination mode 2, in the case that the first preset target (such as a person) exists in the environment where the touch screen device is located, it is described that the operation data may be triggered by the person, and therefore, the probability that the operation data has an abnormality is small. In this case, the probability that the operation data is abnormal may be obtained, for example, the probability value that the operation data is abnormal is set as the second probability value. The probability value may range from [0,1 ]. Of course, the anomaly detection result can also be obtained: there is no exception to the operational data.

And in the determination mode 3, under the condition that the second preset target exists in the environment where the touch screen device is located, the probability that the operation data is abnormal is higher. For example, the second preset target is closer to the touch screen, which indicates that the operation data may be caused by the second preset target, and therefore, the probability of the abnormality of the operation data is higher. In this case, the probability that the operation data is abnormal may be obtained, for example, the probability value that the operation data is abnormal is set as the third probability value. Of course, the anomaly detection result can also be obtained: there is an exception to the operational data.

And determining a mode 4, wherein the probability that the operation data is abnormal is higher under the condition that the first preset target does not exist and the second preset target exists in the environment where the touch screen device is located. For example, the second preset target is closer to the touch screen, but no person exists around the touch screen, which indicates that the operation data may be caused by the second preset target, and therefore, the probability of the abnormality existing in the operation data is higher. In this case, the probability that the operation data is abnormal may be obtained, for example, the probability value that the operation data is abnormal is set as the fourth probability value. Of course, the anomaly detection result can also be obtained: there is an exception to the operational data.

In the determining mode 5, when the first preset target does not exist in the environment where the touch screen device is located and the second preset target does not exist, it is described that the operation data may be caused by driving abnormality or voltage abnormality of the touch screen device, a remote attack on the touch screen device, and the like, and therefore, the probability that the operation data is abnormal is high. In this case, the probability that the operation data is abnormal may be obtained, for example, the probability value that the operation data is abnormal is set as the fifth probability value. Of course, the anomaly detection result can also be obtained: there is an exception to the operational data.

In practical applications, the abnormality detection result may be determined by using any one or a combination of the determination methods 1 to 3. For example, in the case of adopting multiple determination methods, the probability values corresponding to the multiple determination methods may be fused, and the anomaly detection result may be determined according to the magnitude relationship between the fused probability value and the probability threshold. The corresponding fusion mode may include: the weighted average is equal, for example, if the fusion probability value is greater than the probability threshold, the anomaly detection result can be obtained: there is an exception to the operational data.

According to the method and the device, the preset interface area with the operation frequency meeting the preset conditions can be predetermined, and therefore under the condition that the operation data are obtained, the abnormality detection can be carried out on the operation data according to the operation frequency corresponding to the preset interface area. Specifically, the probability of abnormal operation corresponding to the operation point corresponding to the operation data may be determined according to the operation frequency corresponding to the preset interface region.

In practical applications, the touch screen interface includes a plurality of interface regions, and the preset condition may be related to a result of the sorting according to the operation frequencies of the plurality of interface regions. Assuming that the sorting result corresponds to the order of the operation frequencies from high to low, the preset conditions may include: the operating frequency is arranged at the ith (i may be a positive integer) bit. For example, the preset conditions may include: the operation frequency is arranged at the head bit, or the operation frequency is arranged at the tail bit, or the operation frequency is arranged at the middle bit, and the like.

One skilled in the art can set one or more predetermined interface regions according to the operation frequency and the predetermined conditions. For example, the touch screen interface shown in fig. 3 includes 3 controls, and an interface area including at least one control may be used as a preset interface area according to the operation frequency of the 3 controls. It can be understood that the preset interface area in fig. 3 includes 3 controls, which is only an example, and actually, the preset interface area in the embodiment of the present application may include 1 control or 2 controls.

According to the method and the device, the interface area in the touch screen interface can be divided according to the operation frequency, so that the preset interface area meeting the preset condition is obtained. Taking the touch screen interface shown in fig. 3 as an example, the preset interface area 301 may be used as a first preset interface area, and the interface areas except the preset interface area may be used as a second preset interface area, where an operation frequency of the first preset interface area is higher than that of the second preset interface area. Certainly, the touch screen interface including two preset interface regions is only used as an example, and actually, the touch screen interface may include one preset interface region and may further include more than two preset interface regions.

In an implementation manner of the present application, historical operation points in historical operation data may be clustered to obtain a preset interface region of a category that meets a preset condition.

Clustering may refer to a method of grouping objects into classes according to some attributes of the objects, so that the similarity between the classes is as small as possible and the similarity within the classes is as large as possible. The clustering method can comprise the following steps: a partitioning method, a hierarchical method, etc. Specifically, in the embodiment of the present application, the attribute of the historical operation point may include position information, and the historical operation point may be clustered according to the position information of the historical operation point. As shown in fig. 4A, the historical operation points may be clustered according to the location information of the historical operation points, so as to obtain a preset interface region 401 with approximate location information. Alternatively, the interface region other than the preset interface region 401 may be used as the second preset interface region.

Of course, besides manual setting and clustering of historical operation points in the historical operation data, those skilled in the art may also adopt other dividing manners for dividing the interface area in the touch screen interface. For example, the interface area in the touch screen interface can be divided according to the distance information between the historical operating points in the interface area; specifically, for a first historical operating point in the divided preset interface region, a second historical operating point matched with the first historical operating point can always exist, wherein the distance information between the first historical operating point and the second historical operating point does not exceed a distance threshold value.

It is understood that the rectangular area corresponding to the preset interface area 301 or the preset interface area 401 is only an example, and actually, the embodiment of the present application does not limit the graph corresponding to the preset interface area, and the graph corresponding to the preset interface area may also be a circle, an ellipse, a polygon, or an irregular graph shown in fig. 4B.

It should be noted that, in the embodiment of the present application, the obtained preset interface area is determined to correspond to the touch screen interface according to the historical operation point in the historical operation data corresponding to the touch screen interface. In practical applications, the touch screen interfaces of different services may correspond to different preset interface areas, so that the preset interface area obtained in claim 1 after the modification of the present application can reflect the personalized rule of the touch screen interface corresponding to the operation frequency. In this way, in the case where the preset interface area is applied to abnormality detection, the accuracy of abnormality detection can be improved.

And under the condition that the operation data is obtained, carrying out abnormity detection on the operation data according to a preset interface area. The corresponding anomaly detection process may include: and determining an abnormal detection result corresponding to the operation data according to the hit information of the operation point corresponding to the operation data to the preset interface area. The hit information may include: whether the operation point corresponding to the operation data hits the preset interface area and/or the hit ratio of the operation point corresponding to the operation data to the preset interface area. The operation point hitting the preset interface region may mean that the operation point falls within a range corresponding to the preset interface region.

In one implementation, the presetting the interface area specifically includes: the interface device comprises a first preset interface area and a second preset interface area, wherein the operating frequency of the first preset interface area is higher than that of the second preset interface area. For example, the operating frequency of the first preset interface region is ranked first, the operating frequency of the second preset interface region is ranked non-first, and the like. In this case, it may be determined whether there is an operation point hitting the second predetermined interface region, and if not, it may be determined that all the operation points corresponding to the operation data hit the first predetermined interface region having a higher operation frequency, so that it may be determined that the probability of the operation data corresponding to the abnormal operation is lower. In this case, the probability that the operation data is abnormal may be obtained, for example, the probability value that the operation data is abnormal is set as the sixth probability value. Of course, the anomaly detection result can also be obtained: there is no exception to the operational data. Of course, the division of the touch screen interface into two preset interface regions is only an example, and in practice, the touch screen interface may be divided into more than two preset interface regions.

When there is an operation point hitting the second preset interface region, the abnormality detection result may be determined according to a hit ratio of the operation point corresponding to the operation data to the second preset interface region. The hit ratio may be a ratio of the number of operation points hitting the second preset interface region to the total number of operation points. For example, if the hit ratio of the operation point to the second preset interface region exceeds the first ratio threshold, it may be determined that the probability that the operation data corresponds to the abnormal operation is higher. In this case, the probability that the operation data is abnormal may be obtained, for example, the probability value that the operation data is abnormal is set as the seventh probability value. Of course, the anomaly detection result can also be obtained: there is an exception to the operational data.

In another implementation manner, it may be determined whether there is an operation point that hits the first preset interface region, and if so, the abnormality detection result may be determined according to a hit ratio of the operation point corresponding to the operation data to the first preset interface region. The hit ratio may be a ratio of the number of operation points hitting the first preset interface region to the total number of operation points. For example, if the hit ratio of the operation point to the first preset interface region exceeds the second ratio threshold, it may be determined that the probability that the operation data corresponds to the abnormal operation is low. In this case, the probability that the operation data is abnormal may be obtained, for example, the probability value that the operation data is abnormal is set as the eighth probability value. Of course, the anomaly detection result can also be obtained: there is no exception to the operational data.

According to the method and the device, under the condition that multiple probability values of abnormal operation data are obtained, the multiple probability values can be fused, and the abnormal detection result is determined according to the size relation between the fusion probability values and the probability threshold values. The corresponding fusion mode may include: the weighted average is equal, for example, if the fusion probability value is greater than the probability threshold, the anomaly detection result can be obtained: there is an exception to the operational data.

In an embodiment, assuming that P (P may be a positive integer) probability values are obtained according to environment data corresponding to the touch screen device, and Q (Q may be a positive integer) probability values are obtained according to a preset interface region, the P probability values and the Q probability values may be fused, and an abnormal detection result is determined according to a size relationship between the fused probability values and a probability threshold. Because various probability values corresponding to various characteristics can be fused, the accuracy of anomaly detection can be improved.

The embodiment of the application can also execute the corresponding processing mode when the corresponding abnormal detection result indicates that the operation data has an abnormality. For example, locking the touch screen interface, and/or blocking the operation data with abnormality, etc. These processing methods can reduce the influence of abnormal operation data on the service.

One processing method may be to lock the touch screen interface to prevent abnormal operation data from being present when the operation data is abnormal.

The locking the touch screen interface may include: the touch screen is locked, and in such a case, the screen can be unlocked only by performing operations such as password input and the like. Due to the privacy of the password, an abnormal object (such as an animal, a movable object or an attack object) triggering abnormal operation cannot acquire the password, so that the screen cannot be unlocked, and abnormal operation data cannot be further generated.

The locking the touch screen interface may include: and locking the account of the operating system, and under the condition, logging off the account of the operating system to quit the logging state of the operating system and displaying an account logging interface of the operating system. In such a case, it is usually necessary to perform an operation such as inputting a password to log in the account. Due to the privacy of the password, an abnormal object (such as an animal, a movable object or an attack object) which triggers an abnormal operation cannot generally acquire the password, so that the account cannot be logged in, and thus, the abnormal operation data cannot be further generated.

The locking the touch screen interface may include: and displaying a prompt window, wherein the prompt window can carry prompt information such as 'abnormal occurrence, please contact the administrator' and the like. Optionally, the prompt window is in an inoperable state, which may prevent further generation of abnormal operation data.

Another way of handling this may be to block the operation data for which there is an exception. Specifically, the operation data having an exception may not be sent to the corresponding processing unit, so as to reduce the processing load of the processing unit. Generally, when a trigger operation for a control is received, a jump is usually made to a processing function corresponding to the control, but the jump to the processing function is prevented in the embodiment of the present application. The above-mentioned blocking can be carried out to the operation data with the exception, and the function of not responding to the operation data with the exception can be played. For example, when a trigger operation for joining a conference control is received, a corresponding conference interface is usually skipped to, but the embodiment of the present application may not respond to the trigger operation, that is, the corresponding conference interface is not skipped to.

Another processing mode may be that a corresponding prompt message is sent to the server or a management terminal corresponding to the touch screen device, where the prompt message may prompt that the operation data of the touch screen device is abnormal. In general, when the touch screen interface is locked, an ordinary user cannot operate the touch screen interface, that is, the touch screen interface cannot be normally used by the ordinary user. The prompt information can enable a management user of the touch screen equipment to repair the touch screen equipment as soon as possible, so that the repair efficiency of the touch screen equipment is improved.

In summary, according to the exception handling method of the embodiment of the application, the environment data corresponding to the touch screen device may be used to represent the environment where the touch screen device is located, and the environment data may reflect whether the preset target exists in the environment where the touch screen device is located. According to the method and the device, the probability of abnormal operation corresponding to the operation data can be determined according to whether the preset target exists in the environment where the touch screen device is located.

Secondly, the probability of abnormal operation corresponding to the operation point corresponding to the operation data can be determined according to the operation frequency corresponding to the preset interface area, and then the abnormal detection of the operation data can be realized.

In addition, the touch screen interface is locked under the condition that the operation data is abnormal, so that the further generation of the operation data with the abnormality can be prevented. Blocking the abnormal operation data can reduce the processing load of the processing unit corresponding to the operation data, for example, the processing load of the server can be reduced.

Method embodiment two

Referring to fig. 5, a flowchart illustrating steps of an exception handling method according to an embodiment of the present application is shown, which may specifically include the following steps:

501, acquiring operation data corresponding to a touch screen interface; the touch screen interface can be divided into at least two preset interface areas;

step 502, under the condition that the first operation characteristic is matched with the second operation characteristic, performing anomaly detection on the operation data according to the environment data corresponding to the touch screen device and/or the preset interface area;

and 503, locking the touch screen interface and/or blocking the operation data under the condition that the operation data is abnormal.

In the embodiment of the application, the second operation characteristic may be used to characterize an operation characteristic corresponding to the abnormal operation, and may reflect a rule of the operation characteristic corresponding to the abnormal operation. The first operating characteristic is matched with the second operating characteristic, and the function of rough detection of abnormal operation can be achieved.

And according to the environment data corresponding to the touch screen equipment and/or the preset interface area, the abnormal detection is carried out on the operation data, so that the accurate detection effect of abnormal operation can be achieved.

By applying the technical scheme of the embodiment of the application, under the condition that the first operation characteristic is matched with the second operation characteristic, the abnormality detection can be performed on the operation data according to the corresponding environment data and/or the preset interface area of the touch screen device, so that the accuracy of the abnormality detection is improved. And under the condition that the first operation characteristic is not matched with the second operation characteristic, the abnormality detection can be carried out on the operation data without according to the corresponding environment data of the touch screen equipment and/or the preset interface area, so that the operation amount of the abnormality detection can be saved.

In a specific implementation, the second operating characteristic may include at least one of the following preset operating characteristics: an operation frequency characteristic, an operation position characteristic, an operation speed characteristic and an operation duration characteristic. The operation frequency characteristic can represent the operation frequency within a preset unit time (such as 1 second, 2 seconds, 3 seconds and the like). The operation position feature may characterize one or more operation positions, or the shape or area of the operation region, and the like. The operating speed characteristics can characterize the speed of the operating speed, the change of the speed and the like. The operation duration characteristic can characterize the continuous operation duration and the like.

In practical applications, the second operation characteristic may be preset by a person skilled in the art or a user. For example, the second operation characteristic corresponding to the abnormal operation may be preset by a person or a user skilled in the art based on experience.

Alternatively, the second operation characteristic may be obtained according to historical operation data corresponding to the touch screen interface. According to the embodiment of the application, historical operation data corresponding to one or more touch screen interfaces can be analyzed to obtain the second operation characteristic. In other words, the second operation characteristic can represent an individualized rule of the touch screen interface corresponding to the abnormal operation; or the second operation characteristics can represent the commonness rule of the multiple touch screen interfaces corresponding to the abnormal operation.

In a specific implementation, the abnormal historical operation data may be obtained from the historical operation data, and the abnormal historical operation data may be analyzed to obtain the second operation characteristic.

According to one implementation, exception historical operating data may be obtained based on the exception event. Generally, in the case where the touch screen device is abnormally driven or abnormally powered, or the touch screen device is remotely attacked, the touch screen device may continuously perform an abnormal operation. Therefore, the abnormal event may be determined according to the operation times within the preset unit time, for example, if the operation times is greater than the time threshold, the abnormal event may be considered to have occurred. Or, usually, when the touch screen device has a continuous abnormal operation, the user may trigger the reporting behavior, and therefore, the abnormal event may be determined according to the event corresponding to the reporting behavior. In a specific implementation, historical operation data corresponding to the abnormal event within a first preset time period may be used as the abnormal historical operation data. The length of the first preset time period can be determined by those skilled in the art according to the actual application requirements.

According to another implementation manner, historical operation data can be clustered or classified according to preset operation characteristics such as operation frequency characteristics, operation position characteristics, operation speed characteristics and operation duration characteristics, so that abnormal historical operation data can be obtained.

In the process of analyzing the abnormal historical operation data, a second operation characteristic corresponding to the preset operation characteristic can be obtained according to the abnormal historical operation data.

For example, the second operation characteristic corresponding to the operation frequency characteristic may include: the operation times in the preset unit time exceed the time threshold, for example, the operation times exceed 20 times in 3 seconds.

As another example, the second operation characteristic corresponding to the operation position characteristic may include: the area of the operation region corresponding to one or more operations is larger than an area threshold, or the difference between the shape of the operation region corresponding to one or more operations and a preset shape (such as a finger shape) is larger than a difference threshold, or the operation positions of the operation region corresponding to one or more operations are the same (namely, the fixed position is continuously clicked).

For another example, the second operating characteristic corresponding to the operating speed characteristic may include: the operation speed is too fast (the operation speed characteristic is greater than the first speed threshold), or the operation speed is too slow (for example, the operation speed characteristic is less than the second speed threshold), or the operation speeds of a plurality of continuous times are the same (namely, continuous uniform clicks), and the like.

Or, the second operation characteristic corresponding to the operation duration characteristic may include: the operation duration characteristic is greater than a first duration threshold, such as continuous sliding without leaving the screen, or the operation duration characteristic is less than a second duration threshold, and the like.

The first operating characteristic and the second operating characteristic may correspond to a preset operating characteristic of the same category. The first operating characteristic may include at least one of the following preset operating characteristics: an operation frequency characteristic, an operation position characteristic, an operation speed characteristic and an operation duration characteristic.

One difference between the first operating characteristic and the second operating characteristic is that the corresponding operating data is different. The second operation characteristic may correspond to historical operation data in a first preset time period, and the first operation characteristic may correspond to operation data in a second time period. Wherein the second preset time period may be later than the first preset time period. For example, the end time of the second preset time period may be a machine time, and the duration of the second preset time period may be determined by a person skilled in the art according to the time application requirement, for example, the duration of the second preset time period is N minutes, where N may be a positive integer.

In practical applications, the operation data may be analyzed to obtain the first operation characteristic. For example, the first operation characteristic corresponding to the preset operation characteristic may be obtained according to the operation data.

After obtaining the first operational characteristic, the first operational characteristic may be matched to the second operational characteristic. Specifically, the first operation characteristic and the second operation characteristic may be matched according to a preset operation characteristic. Taking the operation frequency characteristic as an example, if the number of times of operation of the first operation characteristic is 21 times within 3 seconds, the number of times of operation exceeds 20 times corresponding to the second operation characteristic, and therefore, the first operation characteristic corresponding to the operation frequency characteristic can be considered to match the second operation characteristic.

In practical application, a first operation feature corresponding to a preset operation feature is matched with a second operation feature, and the first operation feature can be considered to be matched with the second operation feature; or, the first operation feature and the second operation feature corresponding to the plurality of preset operation features are matched, and the first operation feature and the second operation feature can be considered to be matched.

According to the embodiment of the application, under the condition that the first operation characteristic is matched with the second operation characteristic, the abnormality detection can be performed on the operation data according to the corresponding environment data and/or the preset interface area of the touch screen device.

For the process of performing the anomaly detection on the operation data according to the environment data corresponding to the touch screen device and/or the preset interface area, since the process is similar to the anomaly detection process of the first embodiment of the method shown in fig. 2, the process may be referred to each other, and details are not described here.

Method embodiment three

Referring to fig. 6, a flowchart illustrating steps of an exception handling method according to an embodiment of the present application is shown, which may specifically include the following steps:

601, acquiring first operation data corresponding to a touch screen interface; the touch screen interface can be divided into at least two preset interface areas;

step 602, performing anomaly detection on the first operation data according to the preset interface area and/or the environment data corresponding to the touch screen device;

step 603, outputting prompt information under the condition that the first operation data is abnormal;

step 604, acquiring second operation data corresponding to the touch screen interface, and performing anomaly detection on the second operation data according to the preset interface area and/or the environment data corresponding to the touch screen device;

and step 605, locking the touch screen interface and/or blocking the second operation data under the condition that the second operation data is abnormal.

The embodiment of the application can be applied to the abnormity detection of the touch screen equipment such as a mobile phone and a tablet personal computer. In practical applications, the friction between the mobile phone placed in the pocket and the pocket is easy to trigger abnormal operations. These abnormal operations may cause operations such as call misdialing, message missending, and even wrong account transfer, which may cause certain influence to the user and even cause property loss.

According to the method and the device, the first operation data corresponding to the touch screen interface can be obtained firstly, the first operation data are subjected to abnormity detection, and prompt information is output under the condition that the first operation data are abnormal. The prompt message can prompt the user of the abnormal operation so that the user can take corresponding measures. In practical application, the prompt message may be a voice prompt message, so that the voice prompt message is received without the user viewing the mobile phone. Of course, the prompt message may be a prompt text.

After the prompt information is output, second operation data corresponding to the touch screen interface can be continuously acquired, abnormality detection is carried out on the second operation data, the touch screen interface is locked under the condition that abnormality exists in the second operation data, and/or the second operation data is blocked, so that the influence of abnormal operation on a user can be reduced.

As for the process of performing the anomaly detection on the operation data in step 602 or step 604 according to the environment data and/or the preset interface area corresponding to the touch screen device, since the process is similar to the anomaly detection process in the first embodiment of the method shown in fig. 2, reference may be made to each other, and details are not repeated here.

Method example four

Referring to fig. 7, a flowchart illustrating steps of an exception handling method according to an embodiment of the present application is shown, which may specifically include the following steps:

step 701, displaying a touch screen interface; the touch screen interface can be divided into at least two preset interface areas; the preset interface area may include: the system comprises a first preset interface area, a second preset interface area and a control module, wherein the first preset interface area can comprise at least one target control;

step 702, performing anomaly detection on operation data corresponding to the touch screen interface according to the preset interface area and/or environment data corresponding to the touch screen device;

and 703, locking the touch screen interface and/or blocking the operation data under the condition that the operation data is abnormal.

The method of the embodiment of the present application may be applied to a conference terminal, for example, the target control may be used to initiate a conference, such as the initiate conference control in fig. 1C. Alternatively, the target control is used to join a conference, such as the join conference control in FIG. 1C.

The conference terminal of the embodiment of the application may include: a conference control terminal or a conference controlled terminal, etc., wherein the roles of the conference control terminal or the conference controlled terminal can be switched with each other.

In some embodiments of the application, a conference creating request is sent to a conference management device by operating a conference control terminal, the conference management device creates a conference task for a conference room, and a controlled terminal of a conference in the conference room is accessed into the conference task, and a user can execute a conference operation by directly using a controlled terminal of the conference in the conference room.

In a specific implementation, a conference control interface is displayed on a touch screen of the conference control terminal, and the conference control interface comprises a conference initiating control; the conference control terminal responds to the triggering operation of the user on the initiating conference control, acquires a conference instruction sent by the user, and sends a conference creating request to the conference management equipment according to the conference instruction.

According to the embodiment of the application, at least two preset interface areas can be determined from the touch screen interface in advance. The at least two preset interface regions may include: the first preset interface area comprises at least one target control.

In practical applications, a person skilled in the art can set one or more target controls according to the operating frequency and preset conditions of the controls. For example, the touch screen interface shown in fig. 3 includes 3 controls, and the target control may be determined according to the operating frequencies of the 3 controls, and the first preset interface area may be determined according to the target control.

Or, the target control can be determined according to the number of the historical operating points in the area corresponding to the control. For example, a control in which the number of historical operating points in the region exceeds a number threshold may be targeted. For another example, in the embodiment of the present application, the controls may be sorted according to the order from large to small of the number of the historical operation points in the region, and a control ranked at the top T (T may be a positive integer) is selected as the target control.

In practical application, a first preset interface area corresponding to the target control can be determined according to the shape of the target control. For example, if the shape of the target control is a circle, the first preset interface region corresponding to the target control may be a circular region. For another example, if the target control is rectangular, the first preset interface region corresponding to the target control may be a rectangular region. It can be understood that, the embodiment of the present application does not limit the specific shape of the first preset interface region corresponding to the target control. For example, the shape of the first preset interface region corresponding to the target control may also be different from the shape of the target control, for example, the shape of the target control is a circle, and the shape of the first preset interface region corresponding to the target control is a rectangle containing the circle. It will be appreciated that the touch screen interface area may include other interface areas in addition to the first preset interface area, for example, the area of the touch screen interface other than the first preset interface area may be referred to as a second preset interface area. The operation frequency of the first preset interface region may be higher than that of the second preset interface region.

And under the condition that the operation data is obtained, performing anomaly detection on the operation data according to the hit information of the operation point corresponding to the operation data on the preset interface area. Specifically, the probability of abnormal operation corresponding to the operation point corresponding to the operation data may be determined according to the hit information of the operation point corresponding to the operation data to the preset interface region.

The corresponding anomaly detection process may include: and determining an abnormal detection result according to the hit information of the operation point corresponding to the operation data to the preset interface area. The hit information may include: whether the operation point corresponding to the operation data hits the preset interface area and/or the hit ratio of the operation point corresponding to the operation data to the preset interface area. The operation point hitting the preset interface region may mean that the operation point falls within a range corresponding to the preset interface region.

In one implementation, it may be determined whether there is an operation point hitting the second preset interface region, and if not, it may be determined that all the operation points corresponding to the operation data hit the first preset interface region with a higher operation frequency, so that it may be determined that the probability of the abnormal operation corresponding to the operation data is lower. In this case, the probability that the operation data is abnormal may be obtained, for example, the probability value that the operation data is abnormal is set as the ninth probability value. Of course, the anomaly detection result can also be obtained: there is no exception to the operational data.

When there is an operation point hitting the second preset interface region, the abnormality detection result may be determined according to a hit ratio of the operation point corresponding to the operation data to the non-preset interface region. The hit ratio may be a ratio of the number of operation points hitting the second preset interface region to the total number of operation points. For example, if the hit ratio of the operation point to the second preset interface region exceeds the third ratio threshold, it may be determined that the probability that the operation data corresponds to the abnormal operation is higher. In this case, the probability that the operation data is abnormal may be obtained, for example, the probability value that the operation data is abnormal is set as the tenth probability value. Of course, the anomaly detection result can also be obtained: there is an exception to the operational data.

In another implementation manner, it may be determined whether there is an operation point that hits the first preset interface region, and if so, the abnormality detection result may be determined according to a hit ratio of the operation point corresponding to the operation data to the first preset interface region. The hit ratio may be a ratio of the number of operation points hitting the first preset interface region to the total number of operation points. For example, if the hit ratio of the operation point to the first preset interface region exceeds the fourth ratio threshold, it may be determined that the probability that the operation data corresponds to the abnormal operation is low. In this case, the probability that the operation data is abnormal can be obtained, for example, the probability value that the operation data is abnormal is set as the eleventh probability value. Of course, the anomaly detection result can also be obtained: there is no exception to the operational data.

Secondly, the probability of abnormal operation corresponding to the operation point corresponding to the operation data can be determined according to the operation frequency corresponding to the preset interface area.

It should be noted that, for simplicity of description, the method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the embodiments are not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the embodiments. Further, those skilled in the art will also appreciate that the embodiments described in the specification are presently preferred and that no particular act is required of the embodiments of the application.

On the basis of the foregoing embodiment, this embodiment further provides an exception handling apparatus, and with reference to fig. 8, the exception handling apparatus may specifically include the following modules:

the acquiring module 801 acquires first operation data corresponding to a touch screen interface; the touch screen interface is divided into at least two preset interface areas;

a first anomaly detection module 802, configured to perform anomaly detection on the first operation data according to the preset interface area and/or environmental data corresponding to the touch screen device;

a prompt module 803, configured to output a prompt message when the first operation data is abnormal;

a second anomaly detection module 804, configured to obtain second operation data corresponding to the touch screen interface, and perform anomaly detection on the second operation data according to the preset interface area and/or environment data corresponding to the touch screen device;

the processing module 805 is configured to lock the touch screen interface and/or block the second operation data when the second operation data is abnormal.

Optionally, the first anomaly detection module 802 may include:

and determining an abnormal detection result corresponding to the first operation data according to the hit information of the operation point corresponding to the first operation data to a preset interface area.

Optionally, the hit information may include: whether the operation point hits the preset interface area and/or the hit ratio of the operation point corresponding to the operation data to the preset interface area.

Optionally, the environment data may include: and image data and/or sound data corresponding to the preset orientation environment of the touch screen device.

Optionally, the performing of the anomaly detection on the first operation data may include:

and detecting whether a preset target exists in the environment where the touch screen equipment is located according to the environment data corresponding to the touch screen equipment, and determining an abnormal detection result corresponding to the first operation data according to the corresponding target detection result.

Optionally, the apparatus may further include:

locking the touch screen; and/or

Locking an account of an operating system; and/or

And displaying a prompt window, wherein the prompt window is in an inoperable state.

On the basis of the foregoing embodiment, this embodiment further provides an exception handling apparatus, and with reference to fig. 9, the exception handling apparatus may specifically include the following modules:

an obtaining module 901, configured to obtain operation data corresponding to a touch screen interface; the touch screen interface is divided into at least two preset interface areas;

an anomaly detection module 902, configured to perform anomaly detection on the operation data according to environment data corresponding to the touch screen device and/or the preset interface area;

and the processing module 903 is configured to lock the touch screen interface and/or block the operation data when the operation data is abnormal.

On the basis of the foregoing embodiment, this embodiment further provides an exception handling apparatus, and with reference to fig. 10, the exception handling apparatus may specifically include the following modules:

a display module 1001 for displaying a touch screen interface; the touch screen interface is divided into at least two preset interface areas; the preset interface area includes: the system comprises a first preset interface area, a second preset interface area and a control module, wherein the first preset interface area comprises at least one target control;

the anomaly detection module 1002 is configured to perform anomaly detection on operation data corresponding to the touch screen interface according to the preset interface area and/or environment data corresponding to the touch screen device;

the processing module 1003 is configured to lock the touch screen interface and/or block the operation data when the operation data is abnormal.

The device can be applied to a conference terminal, and the target control is used for initiating a conference or joining the conference.

The present application further provides a non-transitory, readable storage medium, where one or more modules (programs) are stored, and when the one or more modules are applied to a device, the device may execute instructions (instructions) of method steps in this application.

Embodiments of the present application provide one or more machine-readable media having instructions stored thereon, which when executed by one or more processors, cause an electronic device to perform the methods as described in one or more of the above embodiments. In the embodiment of the application, the electronic device includes a server, a terminal device and other devices.

Embodiments of the present disclosure may be implemented as an apparatus, which may comprise a server (cluster), a terminal, etc., electronic device, using any suitable hardware, firmware, software, or any combination thereof, in a desired configuration. Fig. 11 schematically illustrates an example apparatus 1300 that can be used to implement various embodiments described herein.

For one embodiment, fig. 11 illustrates an example apparatus 1300 having one or more processors 1302, a control module (chipset) 1304 coupled to at least one of the processor(s) 1302, memory 1306 coupled to the control module 1304, non-volatile memory (NVM)/storage 1308 coupled to the control module 1304, one or more input/output devices 1310 coupled to the control module 1304, and a network interface 1312 coupled to the control module 1304.

Processor 1302 may include one or more single-core or multi-core processors, and processor 1302 may include any combination of general-purpose or special-purpose processors (e.g., graphics processors, application processors, baseband processors, etc.). In some embodiments, the apparatus 1300 can be a server, a terminal, or the like in this embodiment.

In some embodiments, apparatus 1300 may include one or more computer-readable media (e.g., memory 1306 or NVM/storage 1308) having instructions 1314 and one or more processors 1302, which in combination with the one or more computer-readable media, are configured to execute instructions 1314 to implement modules to perform actions described in this disclosure.

For one embodiment, control module 1304 may include any suitable interface controllers to provide any suitable interface to at least one of the processor(s) 1302 and/or any suitable device or component in communication with control module 1304.

The control module 1304 may include a memory controller module to provide an interface to the memory 1306. The memory controller module may be a hardware module, a software module, and/or a firmware module.

Memory 1306 may be used, for example, to load and store data and/or instructions 1314 for device 1300. For one embodiment, memory 1306 may comprise any suitable volatile memory, such as suitable DRAM. In some embodiments, the memory 1306 may comprise a double data rate type four synchronous dynamic random access memory (DDR4 SDRAM).

For one embodiment, control module 1304 may include one or more input/output controllers to provide an interface to NVM/storage 1308 and input/output device(s) 1310.

For example, NVM/storage 1308 may be used to store data and/or instructions 1314. NVM/storage 1308 may include any suitable non-volatile memory (e.g., flash memory) and/or may include any suitable non-volatile storage device(s) (e.g., one or more Hard Disk Drives (HDDs), one or more Compact Disc (CD) drives, and/or one or more Digital Versatile Disc (DVD) drives).

NVM/storage 1308 may include storage resources that are part of the device on which apparatus 1300 is installed, or it may be accessible by the device and need not be part of the device. For example, NVM/storage 1308 may be accessible over a network via input/output device(s) 1310.

Input/output device(s) 1310 may provide an interface for apparatus 1300 to communicate with any other suitable device, input/output device(s) 1310 may include communication components, audio components, sensor components, and so forth. The network interface 1312 may provide an interface for the device 1300 to communicate over one or more networks, and the device 1300 may wirelessly communicate with one or more components of a wireless network according to any of one or more wireless network standards and/or protocols, such as access to a communication standard-based wireless network, e.g., WiFi, 2G, 3G, 4G, 5G, etc., or a combination thereof.

For one embodiment, at least one of the processor(s) 1302 may be packaged together with logic for one or more controllers (e.g., memory controller modules) of the control module 1304. For one embodiment, at least one of the processor(s) 1302 may be packaged together with logic for one or more controllers of the control module 1304 to form a System In Package (SiP). For one embodiment, at least one of the processor(s) 1302 may be integrated on the same die with logic for one or more controller(s) of the control module 1304. For one embodiment, at least one of the processor(s) 1302 may be integrated on the same die with logic of one or more controllers of the control module 1304 to form a system on chip (SoC).

In various embodiments, apparatus 1300 may be, but is not limited to being: a server, a desktop computing device, or a mobile computing device (e.g., a laptop computing device, a handheld computing device, a tablet, a netbook, etc.), among other terminal devices. In various embodiments, apparatus 1300 may have more or fewer components and/or different architectures. For example, in some embodiments, device 1300 includes one or more cameras, a keyboard, a Liquid Crystal Display (LCD) screen (including a touch screen display), a non-volatile memory port, multiple antennas, a graphics chip, an Application Specific Integrated Circuit (ASIC), and speakers.

The detection device can adopt a main control chip as a processor or a control module, sensor data, position information and the like are stored in a memory or an NVM/storage device, a sensor group can be used as an input/output device, and a communication interface can comprise a network interface.

An embodiment of the present application further provides an electronic device, including: a processor; and a memory having executable code stored thereon that, when executed, causes the processor to perform a method as described in one or more of the embodiments of the application.

Embodiments of the present application also provide one or more machine-readable media having executable code stored thereon that, when executed, cause a processor to perform a method as described in one or more of the embodiments of the present application.

For the device embodiment, since it is basically similar to the method embodiment, the description is simple, and for the relevant points, refer to the partial description of the method embodiment.

The embodiments in the present specification are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.

Embodiments of the present application are described with reference to flowchart illustrations and/or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable exception handling terminal to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable exception handling terminal, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable exception handling terminal to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable exception handling terminal to cause a series of operational steps to be performed on the computer or other programmable terminal to produce a computer implemented process such that the instructions which execute on the computer or other programmable terminal provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

While preferred embodiments of the present application have been described, additional variations and modifications of these embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including the preferred embodiment and all such alterations and modifications as fall within the true scope of the embodiments of the application.

Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or terminal. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or terminal that comprises the element.

The foregoing detailed description is directed to an exception handling method, an exception handling apparatus, an electronic device, and a storage medium provided in the embodiments of the present application, and specific examples are applied in the present application to explain the principles and embodiments of the present application, and the descriptions of the foregoing embodiments are only used to help understand the method and the core ideas of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.

Claims

1. A method of exception handling, the method comprising:

2. The method of claim 1, wherein the detecting the anomaly of the first operation data comprises:

3. The method of claim 2, wherein the hit information comprises: whether the operation point hits the preset interface area and/or the hit ratio of the operation point corresponding to the operation data to the preset interface area.

4. The method of claim 1, wherein the environmental data comprises: and image data and/or sound data corresponding to the preset orientation environment of the touch screen device.

5. The method of claim 1, wherein the detecting the anomaly of the first operation data comprises:

and detecting whether a preset target exists in the environment where the touch screen equipment is located according to the environment data corresponding to the touch screen equipment, and determining an abnormal detection result corresponding to the first operation data according to a corresponding target detection result.

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

locking the touch screen; and/or

Locking an account of an operating system; and/or

7. A method of exception handling, the method comprising:

8. A method of exception handling, the method comprising:

9. The method of claim 8, wherein the method is applied to a conference terminal, and wherein the target control is used for initiating a conference or joining a conference.

10. An electronic device, comprising: a processor; and

memory having stored thereon executable code which, when executed, causes the processor to perform the method of one or more of claims 1-9.

11. One or more machine-readable media having executable code stored thereon that, when executed, causes a processor to perform the method of one or more of claims 1-9.