CN117354133A - Abnormality determination method and device, electronic equipment and storage medium - Google Patents

Abstract

This application provides an abnormality determination method, device, electronic equipment and storage medium, which relates to the field of communication technology and solves the problem in related technologies that cannot accurately and reliably determine the user's probability of exiting the network based only on the cell network quality of the community where the user is located. question. The method includes: obtaining user data of a user to be identified, where the user data of a user to be identified includes service feedback corresponding to the user to be identified, network feedback corresponding to the user to be identified, network quality of a target serving cell, and the user to be identified. At least one of the priorities of the user, the target serving cell is the serving cell corresponding to the user to be identified; based on the service feedback situation corresponding to the user to be identified, the network feedback situation corresponding to the user to be identified, the target serving cell At least one of network quality and the priority of the user to be identified determines whether the user to be identified is an abnormal user.

Description

Anomaly determination method, device, electronic equipment and storage medium

Technical field

The present application relates to the field of communication technology, and in particular to an abnormality determination method, device, electronic equipment and storage medium.

Background technique

Currently, electronic devices determine the user's probability of leaving the network based on the cell network quality of the community where the user is located.

However, in the above method, the cell network quality of the user's cell may not reflect the user's actual network perception. The user's withdrawal probability cannot be accurately and reliably determined based only on the cell network quality of the user's cell.

Contents of the invention

This application provides an anomaly determination method, device, electronic equipment and storage medium, which solves the technical problem in related technologies that the user's withdrawal probability cannot be determined accurately and reliably based only on the cell network quality of the user's community.

In the first aspect, this application provides an anomaly determination method, which includes: obtaining the user data of the user to be identified. The user data of the user to be identified includes the business feedback situation corresponding to the user to be identified and the network feedback situation corresponding to the user to be identified. , at least one of the network quality of the target serving cell and the priority of the user to be identified, the target serving cell is the serving cell corresponding to the user to be identified; based on the service feedback situation corresponding to the user to be identified, the user to be identified At least one of the corresponding network feedback situation, the network quality of the target serving cell, and the priority of the user to be identified is used to determine whether the user to be identified is an abnormal user.

Optionally, the user data of the user to be identified includes the service feedback situation corresponding to the user to be identified, the network feedback situation corresponding to the user to be identified, the network quality of the target serving cell, and the priority of the user to be identified. The above is based on the Determine whether the user to be identified is an abnormal user using at least one of the service feedback situation corresponding to the user to be identified, the network feedback situation corresponding to the user to be identified, the network quality of the target serving cell, and the priority of the user to be identified, It includes: determining the first value corresponding to the target service feedback situation, the second value corresponding to the target network feedback situation, the third value corresponding to the target network quality, and the fourth value corresponding to the target priority. The target service feedback situation is to be identified. The service feedback situation corresponding to the user, the target network feedback situation is the network feedback situation corresponding to the user to be identified, the target network quality is the network quality of the target serving cell, and the target priority is the priority of the user to be identified; based on The first value, the second value, the third value and the fourth value determine the target value corresponding to the user to be identified; when the target value is greater than or equal to the numerical threshold, the user to be identified is determined to be abnormal. user.

In this application, the electronic device determines a first value corresponding to the target service feedback situation, a second value corresponding to the target network feedback situation, a third value corresponding to the target network quality, and a fourth value corresponding to the target priority, and based on the first value The numerical value, the second numerical value, the third numerical value and the fourth numerical value determine the target value corresponding to the user to be identified. The target value is the possibility that the user to be identified is abnormal. Therefore, when the target value is greater than or equal to the numerical threshold , indicating that the user to be identified is more likely to be abnormal. At this time, the electronic device determines that the user to be identified is an abnormal user. In this way, the electronic device can accurately and reliably determine the abnormal user.

Optionally, determining the target value corresponding to the user to be identified based on the first value, the second value, the third value and the fourth value includes: combining the first value, the second value, the The sum of the third value and the fourth value is determined as the target value corresponding to the user to be identified.

In this application, the electronic device determines the sum of the first value, the second value, the third value and the fourth value as the target value corresponding to the user to be identified. In this way, the electronic device can accurately determine the target value, and then Determine whether the user to be identified is an abnormal user.

Optionally, the service feedback situation corresponding to the user to be identified includes the number of complaints made by the user to be identified for each service in at least one service, and the first value corresponding to the feedback situation of the target service determined above includes: based on each service The number of complaints and the numerical relationship between the number of times determine the numerical value corresponding to each business. The numerical relationship includes the number of multiple complaints and the numerical value corresponding to each of the multiple number of complaints; the sum of the numerical values corresponding to each business is, Determine this first value.

In this application, since the service feedback situation corresponding to the user to be identified includes the number of complaints made by the user to be identified for each service in at least one service, the electronic device determines each service based on the number of complaints for each service and the numerical relationship between the times. The corresponding value, and the sum of the values corresponding to each service is determined as the first value. In this way, the electronic device can include the user's response to each service in at least one service when the service feedback situation corresponding to the user to be identified is In the case of the number of complaints, the first value corresponding to the target business feedback situation is accurately determined, and then based on the first value, it is determined whether the user to be identified is an abnormal user.

Optionally, the network quality of the target serving cell is obtained based on the network evaluation index of the target serving cell. The network evaluation index of the target serving cell includes the RSRP evaluation index of the target serving cell and the CQI evaluation index of the target serving cell. , one or more of the PRB utilization evaluation index of the target serving cell and the packet loss rate evaluation index of the target serving cell.

In this application, the electronic device can obtain the network quality of the target serving cell based on the network evaluation index of the target serving cell. The electronic device can accurately determine the third value based on the network quality of the target serving cell. Furthermore, the electronic device can determine The above target value is used to accurately determine whether the user to be identified is an abnormal user.

In a second aspect, this application provides an anomaly determination device, including: an acquisition module and a determination module; the acquisition module is used to acquire user data of a user to be identified, and the user data of the user to be identified includes the business corresponding to the user to be identified. At least one of the feedback situation, the network feedback situation corresponding to the user to be identified, the network quality of the target serving cell and the priority of the user to be identified, the target serving cell is the serving cell corresponding to the user to be identified; the determination module , used to determine the user to be identified based on at least one of the service feedback situation corresponding to the user to be identified, the network feedback situation corresponding to the user to be identified, the network quality of the target serving cell, and the priority of the user to be identified. Whether it is an abnormal user.

Optionally, the user data of the user to be identified includes the service feedback situation corresponding to the user to be identified, the network feedback situation corresponding to the user to be identified, the network quality of the target serving cell, and the priority of the user to be identified; the determination module , specifically used to determine the first value corresponding to the target service feedback situation, the second value corresponding to the target network feedback situation, the third value corresponding to the target network quality, and the fourth value corresponding to the target priority. The target service feedback situation is The service feedback situation corresponding to the user to be identified, the target network feedback situation is the network feedback situation corresponding to the user to be identified, the target network quality is the network quality of the target serving cell, and the target priority is the priority of the user to be identified ; The determination module is specifically also used to determine the target value corresponding to the user to be identified based on the first value, the second value, the third value and the fourth value; the determination module is also specifically used to determine the target value corresponding to the user to be identified; If the target value is greater than or equal to the numerical threshold, the user to be identified is determined to be an abnormal user.

Optionally, the determining module is specifically configured to determine the sum of the first value, the second value, the third value and the fourth value as the target value corresponding to the user to be identified.

Optionally, the service feedback situation corresponding to the above-mentioned user to be identified includes the number of complaints made by the user to be identified for each service in at least one service; the determination module is specifically used to determine the number of complaints based on the number of complaints for each service and the numerical relationship between the times, Determine the value corresponding to each business. The relationship between the number and value includes the number of complaints and the value corresponding to each of the multiple number of complaints. The determination module is also specifically used to sum the values corresponding to each business. , determined as the first value.

Optionally, the network quality of the target serving cell is obtained based on the network evaluation index of the target serving cell. The network evaluation index of the target serving cell includes the RSRP evaluation index of the target serving cell and the CQI evaluation index of the target serving cell. , one or more of the PRB utilization evaluation index of the target serving cell and the packet loss rate evaluation index of the target serving cell.

In a third aspect, the present application provides an electronic device, including: a processor and a memory configured to store instructions executable by the processor; wherein the processor is configured to execute the instructions to implement any one of the above first aspects. An optional exception determination method.

In a fourth aspect, the present application provides a computer-readable storage medium. Instructions are stored on the computer-readable storage medium. When the instructions in the computer-readable storage medium are executed by an electronic device, the electronic device can execute the above-mentioned first step. Any of the aspects optionally anomaly determination methods.

This application provides an abnormality determination method, device, electronic equipment and storage medium. The electronic equipment obtains the user data of the user to be identified, and based on the business feedback situation corresponding to the user to be identified, the network feedback situation corresponding to the user to be identified, and the target service cell's At least one of the network quality and the priority of the user to be identified determines whether the user to be identified is an abnormal user. In this way, the electronic device can be based on the service feedback situation corresponding to the user to be identified, the network feedback situation corresponding to the user to be identified, One or more of the network quality of the target serving cell and the priority of the user to be identified can accurately and reliably determine whether the user to be identified is an abnormal user.

Description of drawings

In order to more clearly explain the embodiments of the present application or the technical solutions in the prior art, the drawings required to be used in the description of the embodiments or the prior art will be briefly introduced below.

Figure 1 is a schematic flowchart of an abnormality determination method provided by an embodiment of the present application;

Figure 2 is a schematic flow chart of another abnormality determination method provided by an embodiment of the present application;

Figure 3 is a schematic flowchart of another abnormality determination method provided by an embodiment of the present application;

Figure 4 is a schematic flowchart of another anomaly determination method provided by an embodiment of the present application;

Figure 5 is a schematic structural diagram of an abnormality determination device provided by an embodiment of the present application;

Figure 6 is a schematic structural diagram of another abnormality determination device provided by an embodiment of the present application.

Detailed ways

The abnormality determination method, device, electronic device and storage medium provided by the embodiments of the present application will be described in detail below with reference to the accompanying drawings.

The terms "first" and "second" in the description of this application and the drawings are used to distinguish different objects, rather than to describe a specific order of objects. For example, the first numerical value and the second numerical value are used to distinguish different objects. It is used to distinguish between different values, rather than describing a specific order of values.

Furthermore, references to the terms "including" and "having" and any variations thereof in the description of this application are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally also includes other unlisted steps or units, or optionally also Includes other steps or units inherent to those processes, methods, products or devices.

It should be noted that in the embodiments of this application, words such as "exemplary" or "for example" are used to represent examples, illustrations or explanations. Any embodiment or design described as "exemplary" or "such as" in the embodiments of the present application is not to be construed as preferred or advantageous over other embodiments or designs. Rather, use of the words "exemplary" or "such as" is intended to present the concept in a concrete manner.

The "and/or" mentioned in this application includes using any one of the two methods or using both methods at the same time.

In the description of this application, unless otherwise stated, the meaning of "plurality" means two or more.

Based on what is described in the background art, in the related art, the user's withdrawal probability cannot be accurately and reliably determined based only on the cell network quality of the cell where the user is located. Based on this, embodiments of the present application provide an abnormality determination method, device, electronic device and storage medium. The electronic device obtains the user data of the user to be identified, and based on the business feedback situation corresponding to the user to be identified and the network feedback corresponding to the user to be identified situation, the network quality of the target serving cell and the priority of the user to be identified, determine whether the user to be identified is an abnormal user. In this way, the electronic device can be based on the service feedback situation corresponding to the user to be identified, the user to be identified One or more of the corresponding network feedback conditions, the network quality of the target serving cell, and the priority of the user to be identified can accurately and reliably determine whether the user to be identified is an abnormal user.

As shown in Figure 1, the anomaly determination method provided by the embodiment of the present application may include S101-S102.

S101. The electronic device obtains the user data of the user to be identified.

Wherein, the user data of the user to be identified includes at least one of the service feedback situation corresponding to the user to be identified, the network feedback situation corresponding to the user to be identified, the network quality of the target serving cell, and the priority of the user to be identified, The target serving cell is the serving cell corresponding to the user to be identified.

Optionally, the network feedback situation corresponding to the user to be identified can be the network feedback situation of the user to be identified to the resident cell. The user to be identified can correspond to at least one of the target serving cells, and the resident cell is the at least one target. A target serving cell in the serving cell whose access times are greater than the number threshold and access traffic is greater than the traffic threshold within the preset time period.

In an implementation manner of the embodiment of the present application, the electronic device uses the basic information of the user to be identified, complaint and return visit information, maintenance records, online time, product (package) subscription information, and whether to sign up for the phone bill deduction service. , whether there is a "light contract" contract, whether users are integrated, whether the contract has been terminated, and the business feedback corresponding to the user to be identified, the network feedback corresponding to the user to be identified, and the priority of the user to be identified are determined.

In an implementation manner of the embodiment of the present application, the electronic device determines the location of the user to be identified, the network quality of the community, and the network quality data of other operators in the community (when a Smart Home engineer comes for maintenance, the electronic device can detect The measured network quality data of friendly merchants' mobile networks, the access status of friendly merchants' broadband and users' evaluation of friendly merchants' broadband are used to determine the network quality of the target service community.

S102. The electronic device determines whether the user to be identified is an abnormal user based on at least one of the service feedback situation corresponding to the user to be identified, the network feedback situation corresponding to the user to be identified, the network quality of the target serving cell, and the priority of the user to be identified. .

In an implementation manner of the embodiment of this application, the abnormal user is a user who has quit the network, ported his number to another network, or been lost.

In an implementation manner of the embodiment of the present application, the priority of the user to be identified is the first priority, the second priority or the third priority, and the priority of the first priority is higher than the second priority. The priority of the second priority is higher than the priority of the third priority. When the single card of the user to be identified does not have a contract, the electronic device determines that the priority of the user to be identified is The first priority. When the single card of the user to be identified has no contract and the user number is bound to a bank card, the electronic device determines that the priority of the user to be identified is the second priority, and the user number is the second priority. To identify the number corresponding to the user, when the single card of the user to be identified has no contract and the user number is bound to the mailbox, the electronic device determines that the priority of the user to be identified is the third priority.

With reference to Figure 1, as shown in Figure 2, the user data of the user to be identified includes the service feedback situation corresponding to the user to be identified, the network feedback situation corresponding to the user to be identified, the network quality of the target serving cell, and the user data to be identified. Priority, the above-mentioned electronic device determines whether the user to be identified is based on at least one of the service feedback situation corresponding to the user to be identified, the network feedback situation corresponding to the user to be identified, the network quality of the target serving cell, and the priority of the user to be identified. Abnormal users include S1021-S1023.

S1021. The electronic device determines a first value corresponding to the target service feedback situation, a second value corresponding to the target network feedback situation, a third value corresponding to the target network quality, and a fourth value corresponding to the target priority.

Among them, the target service feedback situation is the service feedback situation corresponding to the user to be identified, the target network feedback situation is the network feedback situation corresponding to the user to be identified, the target network quality is the network quality of the target serving cell, and the target is prioritized The priority of the user to be identified.

It should be understood that the first numerical value reflects the degree of correlation between the target service feedback situation and the user to be identified as an abnormal user. The larger the first numerical value is, the greater the correlation between the user to be identified as an abnormal user.

The service feedback situation corresponding to the above-mentioned user to be identified includes the number of complaints made by the user to be identified for each service in at least one service. Combined with Figure 2, as shown in Figure 3, the above-mentioned electronic device determines the first value corresponding to the target service feedback situation, which specifically includes: S1021a-S1021b.

S1021a. The electronic device determines the value corresponding to each service based on the number of complaints for each service and the relationship between the number and number.

Wherein, the numerical relationship of the number of times includes multiple number of complaints and the number corresponding to each number of the multiple number of complaints.

It should be understood that the service feedback situation corresponding to the user to be identified includes the number of complaints made by the user to be identified for each service in at least one service, and the at least one service includes one or more of a call service, a mobile Internet service, and a fixed broadband service. , the call service includes one or more of the voice call service, SMS call service, MMS call service and 5G new communication service. The mobile Internet access service includes mobile browsing service, mobile video service, mobile game business and mobile phone stock trading business. One or more, the fixed broadband service includes one or more of a broadband browsing service, a broadband video service, a broadband game service, a broadband download service and a broadband mailbox service.

In an implementation manner of the embodiment of the present application, the electronic device can perform cluster analysis (or statistical analysis) on each service in the at least one service and the number of complaints made by multiple users on each service in the at least one service, The numerical relationship of the order is obtained, in which at least one user among the multiple users is an abnormal user.

S1021b. The electronic device determines the sum of the values corresponding to each service as the first value.

In an implementation manner of the embodiment of the present application, the electronic device may perform a weighted average to obtain the first value based on the value corresponding to each service and the preset weight value of each service.

In this embodiment of the present application, since the service feedback situation corresponding to the user to be identified includes the number of complaints made by the user to be identified for each service in at least one service, the electronic device determines each service based on the number of complaints for each service and the numerical relationship between the times. Values corresponding to each service, and the sum of the values corresponding to each service is determined as the first value. In this way, the electronic device can include the user's response to each service in at least one service when the service feedback situation corresponding to the user to be identified is In the case of the number of complaints about the service, the first value corresponding to the target service feedback situation is accurately determined, and then based on the first value, it is determined whether the user to be identified is an abnormal user.

S1022. The electronic device determines the target value corresponding to the user to be identified based on the first value, the second value, the third value, and the fourth value.

2 and 4, the electronic device determines the target value corresponding to the user to be identified based on the first value, the second value, the third value, and the fourth value, specifically including S1022a.

S1022a. The electronic device determines the sum of the first value, the second value, the third value and the fourth value as the target value corresponding to the user to be identified.

In an implementation manner of the embodiment of the present application, the electronic device presets a weight value based on a first value, a second value, a third value, a fourth value, the first value, a preset weight value based on the second value, and a third value. The preset weight value and the fourth numerical preset weight value are weighted and averaged to obtain the target value corresponding to the user to be identified.

In this embodiment of the present application, the electronic device determines the sum of the first value, the second value, the third value and the fourth value as the target value corresponding to the user to be identified. In this way, the electronic device can accurately determine the target value. , and then determine whether the user to be identified is an abnormal user.

S1023. When the target value is greater than or equal to the numerical threshold, the electronic device determines that the user to be identified is an abnormal user.

In an implementation manner of the embodiment of the present application, when one of the above-mentioned first value, the above-mentioned second value, the above-mentioned third value and the above-mentioned fourth value is greater than or equal to a numerical threshold, the electronic device determines that the to-be-identified The user is an abnormal user.

In an implementation manner of the embodiment of the present application, the electronic device may determine the sum of any two or three values among the first value, the second value, the third value and the fourth value as The target value is greater than or equal to the numerical threshold, and the electronic device determines that the user to be identified is an abnormal user.

In this embodiment of the present application, the electronic device determines a first value corresponding to the target service feedback situation, a second value corresponding to the target network feedback situation, a third value corresponding to the target network quality, and a fourth value corresponding to the target priority, and based on The first value, the second value, the third value and the fourth value determine the target value corresponding to the user to be identified. The target value is the possibility that the user to be identified is abnormal. Therefore, when the target value is greater than or equal to the numerical threshold, In this case, it means that the user to be identified is more likely to be abnormal. At this time, the electronic device determines that the user to be identified is an abnormal user. In this way, the electronic device can accurately and reliably determine the abnormal user.

The technical solutions provided by the above embodiments can at least bring the following beneficial effects: It can be seen from S101-S102 that: the electronic device obtains the user data of the user to be identified, and based on the business feedback situation corresponding to the user to be identified and the network feedback situation corresponding to the user to be identified , the network quality of the target serving cell and the priority of the user to be identified, determine whether the user to be identified is an abnormal user. In this way, the electronic device can be based on the service feedback situation corresponding to the user to be identified, the corresponding One or more of the network feedback conditions, the network quality of the target serving cell, and the priority of the user to be identified can accurately and reliably determine whether the user to be identified is an abnormal user.

In conjunction with the above embodiments, it should be understood that the network quality of the target serving cell is obtained by the electronic device based on the network evaluation index of the target serving cell. The network evaluation index of the target serving cell includes the RSRP evaluation index of the target serving cell, the target One or more of the CQI evaluation index of the serving cell, the PRB utilization evaluation index of the target serving cell, and the packet loss rate evaluation index of the target serving cell.

For example, the RSRP evaluation index of the target serving cell is: If the proportion of access users' RSRP ≥ -110dbm (decibel milliwatt) is less than 90%, the network quality of the target serving cell is poor, and the access user is in For at least one user who accesses the target serving cell within the preset time period, the CQI evaluation index of the target serving cell is: If the CQI evaluation index of the access user is less than 80% and the proportion of CQI > 7 is less than 80%, then the CQI evaluation index of the target serving cell is If the network quality is poor, the PRB utilization evaluation index of the target serving cell is: If the PRB utilization rate of the target serving cell is higher than 70% within the preset time period, the network quality of the target serving cell is poor, and the target serving cell's PRB utilization is The packet loss rate evaluation index is that if the uplink packet loss rate of the target serving cell is higher than 1% and/or the downlink packet loss rate of the target serving cell is higher than 1%, the network quality of the target serving cell is poor.

In the embodiment of the present application, the electronic device can obtain the network quality of the target serving cell based on the network evaluation index of the target serving cell, and the electronic device can accurately determine the third value based on the network quality of the target serving cell. Furthermore, the electronic device The above target value can be determined, and whether the above to-be-identified user is an abnormal user can be determined accurately.

Embodiments of the present application can divide electronic equipment into functional modules according to the above method examples. For example, functional modules can be divided into corresponding functional modules, or two or more functions can be integrated into one processing module. The above integrated modules can be implemented in the form of hardware or software function modules. It should be noted that the division of modules in the embodiment of the present application is schematic and is only a logical function division. In actual implementation, there may be other division methods.

In the case of dividing each functional module corresponding to each function, Figure 5 shows a possible structural diagram of the anomaly determining device involved in the above embodiment. As shown in Figure 5, the anomaly determining device 10 may include: obtaining module 101 and determination module 102.

The acquisition module 101 is used to obtain the user data of the user to be identified. The user data of the user to be identified includes the service feedback situation corresponding to the user to be identified, the network feedback situation corresponding to the user to be identified, the network quality of the target serving cell, and the At least one of the priorities of the user to be identified, and the target serving cell is the serving cell corresponding to the user to be identified.

The determination module 102 is configured to determine the user based on at least one of the service feedback situation corresponding to the user to be identified, the network feedback situation corresponding to the user to be identified, the network quality of the target serving cell, and the priority of the user to be identified. Check whether the user to be identified is an abnormal user.

Optionally, the user data of the user to be identified includes the service feedback situation corresponding to the user to be identified, the network feedback situation corresponding to the user to be identified, the network quality of the target serving cell, and the priority of the user to be identified.

The determination module 102 is specifically used to determine the first value corresponding to the target service feedback situation, the second value corresponding to the target network feedback situation, the third value corresponding to the target network quality, and the fourth value corresponding to the target priority. The target service feedback situation The situation is the service feedback situation corresponding to the user to be identified, the target network feedback situation is the network feedback situation corresponding to the user to be identified, the target network quality is the network quality of the target serving cell, and the target priority is the user to be identified priority.

The determination module 102 is specifically configured to determine the target value corresponding to the user to be identified based on the first value, the second value, the third value and the fourth value.

The determination module 102 is specifically configured to determine that the user to be identified is an abnormal user when the target value is greater than or equal to the numerical threshold.

Optionally, the determining module 102 is specifically configured to determine the sum of the first value, the second value, the third value and the fourth value as the target value corresponding to the user to be identified.

Optionally, the service feedback situation corresponding to the user to be identified includes the number of complaints made by the user to be identified for each service in at least one service.

The determination module 102 is specifically configured to determine the numerical value corresponding to each business based on the number of complaints for each business and the numerical relationship between the number of times. The numerical relationship includes multiple number of complaints and the number corresponding to each number of the multiple number of complaints. numerical value.

The determination module 102 is specifically configured to determine the sum of the values corresponding to each service as the first value.

In the case of using an integrated unit, FIG. 6 shows a possible structural diagram of the anomaly determining device involved in the above embodiment. As shown in FIG. 6 , the abnormality determination device 20 may include: a processing module 201 and a communication module 202 . The processing module 201 may be used to control and manage the actions of the abnormality determination device 20 . The communication module 202 may be used to support communication between the anomaly determining device 20 and other entities. Optionally, as shown in FIG. 6 , the anomaly determining device 20 may also include a storage module 203 for storing program codes and data of the anomaly determining device 20 .

The processing module 201 may be a processor or a controller. The communication module 202 may be a transceiver, a transceiver circuit, a communication interface, etc. The storage module 203 may be a memory.

Wherein, when the processing module 201 is a processor, the communication module 202 is a transceiver, and the storage module 203 is a memory, the processor, transceiver and memory can be connected through a bus. The bus may be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus. The bus can be divided into address bus, data bus, control bus, etc.

It should be understood that in the various embodiments of the present application, the size of the sequence numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its functions and internal logic, and should not be used in the embodiments of the present application. The implementation process constitutes any limitation.

Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented with electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Skilled artisans may implement the described functionality using different methods for each specific application, but such implementations should not be considered beyond the scope of this application.

Those skilled in the art can clearly understand that for the convenience and simplicity of description, the specific working processes of the systems, devices and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be described again here.

The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place, or they may be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented using a software program, it may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When computer program instructions are loaded and executed on a computer, the processes or functions described in the embodiments of the present application are generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions may be stored in or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transferred from a website, computer, server, or data center Transmission to another website, computer, server or data center through wired (such as coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (such as infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that can be accessed by a computer or include one or more data storage devices such as servers and data centers that can be integrated with the medium. The available media may be magnetic media (eg, floppy disk, hard disk, magnetic tape), optical media (eg, DVD), or semiconductor media (eg, solid state disk (SSD)), etc.

The above are only specific embodiments of the present application, but the protection scope of the present application is not limited thereto. Any person familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application. should be covered by the protection scope of this application. Therefore, the protection scope of this application should be determined by the protection scope of the claims.

Claims (12)

1. An abnormality determination method, characterized in that the method includes: Obtain the user data of the user to be identified. The user data of the user to be identified includes the service feedback situation corresponding to the user to be identified, the network feedback situation corresponding to the user to be identified, the network quality of the target serving cell, and the network feedback situation of the user to be identified. At least one of the priorities of the user, the target serving cell is the serving cell corresponding to the user to be identified; Based on at least one of the service feedback situation corresponding to the user to be identified, the network feedback situation corresponding to the user to be identified, the network quality of the target serving cell, and the priority of the user to be identified, the user to be identified is determined. Identify whether the user is an abnormal user. 2. The abnormality determination method according to claim 1, characterized in that the user data of the user to be identified includes the business feedback situation corresponding to the user to be identified, the network feedback situation corresponding to the user to be identified, and target services. The network quality of the cell and the priority of the user to be identified are based on the service feedback situation corresponding to the user to be identified, the network feedback situation corresponding to the user to be identified, the network quality of the target serving cell and the At least one of the priorities of the user to be identified, determining whether the user to be identified is an abnormal user, including: Determine the first numerical value corresponding to the target service feedback situation, the second numerical value corresponding to the target network feedback situation, the third numerical value corresponding to the target network quality, and the fourth numerical value corresponding to the target priority, and the target service feedback situation is the to-be-identified The service feedback situation corresponding to the user, the target network feedback situation is the network feedback situation corresponding to the user to be identified, the target network quality is the network quality of the target serving cell, and the target priority is the network feedback situation to the user to be identified. User priority; Based on the first value, the second value, the third value and the fourth value, determine a target value corresponding to the user to be identified; When the target value is greater than or equal to the numerical threshold, the user to be identified is determined to be an abnormal user. 3. The abnormality determination method according to claim 2, wherein the user to be identified is determined based on the first numerical value, the second numerical value, the third numerical value and the fourth numerical value. Corresponding target values include: The sum of the first value, the second value, the third value and the fourth value is determined as the target value corresponding to the user to be identified. 4. The abnormality determination method according to claim 2, wherein the service feedback situation corresponding to the user to be identified includes the number of complaints made by the user to be identified to each service in at least one service, and the determined target service The first value corresponding to the feedback situation includes: Determine the numerical value corresponding to each service based on the number of complaints for each business and the numerical relationship between the number of complaints, where the numerical relationship includes multiple number of complaints and the numerical value corresponding to each number of the multiple number of complaints; The sum of the numerical values corresponding to each of the services is determined as the first numerical value. 5. The abnormality determination method according to any one of claims 1 to 4, characterized in that the network quality of the target serving cell is obtained based on the network evaluation index of the target serving cell, and the target serving cell The network evaluation index includes the RSRP evaluation index of the target serving cell, the CQI evaluation index of the target serving cell, the PRB utilization evaluation index of the target serving cell, and the packet loss rate evaluation index of the target serving cell. One or more items. 6. An abnormality determination device, characterized in that it includes: an acquisition module and a determination module; The acquisition module is used to obtain the user data of the user to be identified. The user data of the user to be identified includes the service feedback situation corresponding to the user to be identified, the network feedback situation corresponding to the user to be identified, and the data of the target serving cell. At least one of network quality and the priority of the user to be identified, and the target serving cell is the serving cell corresponding to the user to be identified; The determination module is configured to base on at least one of the service feedback situation corresponding to the user to be identified, the network feedback situation corresponding to the user to be identified, the network quality of the target serving cell, and the priority of the user to be identified. One step is to determine whether the user to be identified is an abnormal user. 7. The abnormality determination device according to claim 6, characterized in that the user data of the user to be identified includes the service feedback situation corresponding to the user to be identified, the network feedback situation corresponding to the user to be identified, and the target service The network quality of the cell and the priority of the user to be identified; The determination module is specifically used to determine the first value corresponding to the target business feedback situation, the second value corresponding to the target network feedback situation, the third value corresponding to the target network quality, and the fourth value corresponding to the target priority. The target The service feedback situation is the service feedback situation corresponding to the user to be identified, the target network feedback situation is the network feedback situation corresponding to the user to be identified, the target network quality is the network quality of the target serving cell, and the The target priority is the priority of the user to be identified; The determination module is specifically further configured to determine the target value corresponding to the user to be identified based on the first value, the second value, the third value and the fourth value; The determination module is specifically configured to determine that the user to be identified is an abnormal user when the target value is greater than or equal to a numerical threshold. 8. The abnormality determining device according to claim 7, characterized in that, The determination module is specifically configured to determine the sum of the first value, the second value, the third value and the fourth value as the target value corresponding to the user to be identified. 9. The abnormality determination device according to claim 7, wherein the service feedback situation corresponding to the user to be identified includes the number of complaints made by the user to be identified for each service in at least one service; The determination module is specifically configured to determine the numerical value corresponding to each service based on the number of complaints for each service and the relationship between the number of complaints. The numerical relationship includes multiple number of complaints and the number of complaints. The value corresponding to each number of times; The determination module is specifically configured to determine the sum of the values corresponding to each service as the first value. 10. The abnormality determination device according to any one of claims 6 to 9, characterized in that the network quality of the target serving cell is obtained based on the network evaluation index of the target serving cell, and the target serving cell The network evaluation index includes the RSRP evaluation index of the target serving cell, the CQI evaluation index of the target serving cell, the PRB utilization evaluation index of the target serving cell, and the packet loss rate evaluation index of the target serving cell. One or more items. 11. An electronic device, characterized in that the electronic device includes: processor; memory configured to store instructions executable by the processor; Wherein, the processor is configured to execute the instructions to implement the exception determination method according to any one of claims 1-5. 12. A computer-readable storage medium, with instructions stored on the computer-readable storage medium, characterized in that when the instructions in the computer-readable storage medium are executed by an electronic device, the electronic device can execute The abnormality determination method according to any one of claims 1-5.