CN117354133A - Abnormality determination method and device, electronic equipment and storage medium - Google Patents
Abnormality determination method and device, electronic equipment and storage medium Download PDFInfo
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- 238000004891 communication Methods 0.000 abstract description 9
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- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0677—Localisation of faults
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
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Abstract
The application provides an anomaly determination method, an anomaly determination device, electronic equipment and a storage medium, relates to the technical field of communication, and solves the technical problem that the network-withdrawal probability of a user cannot be accurately and reliably determined only according to the cell network quality of a cell in which the user is located in the related art. The method comprises the following steps: acquiring user data of a user to be identified, wherein the user data of the user to be identified comprises at least one of a service feedback condition corresponding to the user to be identified, a network feedback condition corresponding to the user to be identified, network quality of a target service cell and priority of the user to be identified, and the target service cell is a service cell corresponding to the user to be identified; and determining whether the user to be identified is an abnormal user or not based on at least one of the service feedback condition corresponding to the user to be identified, the network quality of the target service cell and the priority of the user to be identified.
Description
Technical Field
The present disclosure relates to the field of communications technologies, and in particular, to an anomaly determination method, an anomaly determination device, an electronic device, and a storage medium.
Background
Currently, an electronic device determines a network-withdrawal probability of a user based on a cell network quality of a cell in which the user is located.
However, in the above method, the cell network quality of the cell in which the user is located may not reflect the actual network perception of the user, and the network withdrawal probability of the user may not be accurately and reliably determined only according to the cell network quality of the cell in which the user is located.
Disclosure of Invention
The application provides an anomaly determination method, an anomaly determination device, electronic equipment and a storage medium, which solve the technical problem that the network-withdrawal probability of a user cannot be accurately and reliably determined only according to the cell network quality of a cell in which the user is located in the related art.
In a first aspect, the present application provides an anomaly determination method, including: acquiring user data of a user to be identified, wherein the user data of the user to be identified comprises at least one of a service feedback condition corresponding to the user to be identified, a network feedback condition corresponding to the user to be identified, network quality of a target service cell and priority of the user to be identified, and the target service cell is a service cell corresponding to the user to be identified; and determining whether the user to be identified is an abnormal user or not based on at least one of the service feedback condition corresponding to the user to be identified, the network quality of the target service cell and the priority of the user to be identified.
Optionally, the user data of the user to be identified includes at least one of a service feedback condition corresponding to the user to be identified, a network quality of a target serving cell, and a priority of the user to be identified, and determining whether the user to be identified is an abnormal user based on at least one of the service feedback condition corresponding to the user to be identified, the network quality of the target serving cell, and the priority of the user to be identified includes: determining a first value corresponding to a target service feedback condition, a second value corresponding to a target network feedback condition, a third value corresponding to a target network quality and a fourth value corresponding to a target priority, wherein the target service feedback condition is the service feedback condition corresponding to the user to be identified, the target network feedback condition is the network feedback condition corresponding to the user to be identified, the target network quality is the network quality of the target service cell, and the target priority is the priority of the user to be identified; determining a target value corresponding to the user to be identified based on the first value, the second value, the third value and the fourth value; and under the condition that the target value is greater than or equal to a value threshold, determining the user to be identified as an abnormal user.
In the application, the electronic device determines a first value corresponding to the feedback condition of the target service, a second value corresponding to the feedback condition of the target network, a third value corresponding to the quality of the target network and a fourth value corresponding to the target priority, and determines a target value corresponding to the user to be identified based on the first value, the second value, the third value and the fourth value, wherein the target value is the possibility that the user to be identified has an abnormality, so that under the condition that the target value is greater than or equal to a value threshold, the possibility that the user to be identified has an abnormality is higher, and at the moment, the electronic device determines the user to be identified as an abnormal user, so that 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: and determining the sum of the first value, the second value, the third value and the fourth value as a target value corresponding to the user to be identified.
In the 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, so that the electronic device can accurately determine the target value and further determine whether the user to be identified is an abnormal user.
Optionally, the service feedback condition corresponding to the user to be identified includes complaint times of the user to be identified on each service in at least one service, and the determining the first value corresponding to the target service feedback condition includes: determining a numerical value corresponding to each service based on the complaint times of each service and a numerical value relation of times, wherein the numerical value relation of times comprises a plurality of complaint times and a numerical value corresponding to each time in the plurality of complaint times; and determining the sum of the values corresponding to each service as the first value.
In the application, since the service feedback condition corresponding to the user to be identified includes complaint times of the user to be identified for each service in at least one service, the electronic device determines a value corresponding to each service based on the complaint times and the number value relationship of each service, and determines a sum of the values corresponding to each service as a first value, so that the electronic device can accurately determine the first value corresponding to the target service feedback condition under the condition that the service feedback condition corresponding to the user to be identified includes the complaint times of the user to be identified for each service in at least one service, and further determine whether the user to be identified is an abnormal user based on the first value.
Optionally, the network quality of the target serving cell is obtained based on a network evaluation index of the target serving cell, where the network evaluation index of the target serving cell includes one or more of an RSRP evaluation index of the target serving cell, a CQI evaluation index of the target serving cell, a PRB utilization evaluation index of the target serving cell, and a packet loss evaluation index of the target serving cell.
In the application, the electronic device may obtain the network quality of the target serving cell based on the network evaluation index of the target serving cell, and the electronic device may accurately determine the third value based on the network quality of the target serving cell, and further, the electronic device may determine the target value and accurately determine whether the user to be identified is an abnormal user.
In a second aspect, the present application provides an abnormality determination apparatus including: an acquisition module and a determination module; the acquisition module is used for acquiring user data of a user to be identified, wherein the user data of the user to be identified comprises at least one of a service feedback condition corresponding to the user to be identified, a network feedback condition corresponding to the user to be identified, network quality of a target service cell and priority of the user to be identified, and the target service cell is a service cell corresponding to the user to be identified; the determining module is configured to determine whether the user to be identified is an abnormal user based on at least one of a service feedback condition corresponding to the user to be identified, a network quality of the target serving cell, and a priority of the user to be identified.
Optionally, the user data of the user to be identified includes a service feedback condition corresponding to the user to be identified, a network quality of a target serving cell, and a priority of the user to be identified; the determining module is specifically configured to determine a first value corresponding to a target service feedback situation, a second value corresponding to a target network feedback situation, a third value corresponding to a target network quality, and a fourth value corresponding to a target priority, where the target service feedback situation is a service feedback situation corresponding to the user to be identified, the target network feedback situation is a network feedback situation corresponding to the user to be identified, the target network quality is a network quality of the target serving cell, and the target priority is a priority of the user to be identified; the determining module is specifically further configured to determine a 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 determining module is specifically further configured to determine that the user to be identified is an abnormal user when the target value is greater than or equal to a value threshold.
Optionally, the determining module is specifically configured to determine a sum of the first value, the second value, the third value, and the fourth value as a target value corresponding to the user to be identified.
Optionally, the service feedback condition corresponding to the user to be identified includes complaint times of the user to be identified on each service in at least one service; the determining module is specifically configured to determine a value corresponding to each service based on a complaint number and a number value relationship of the each service, where the number value relationship includes a plurality of complaint numbers and a value corresponding to each of the plurality of complaint numbers; the determining module is specifically further configured to determine a sum of values corresponding to each service as the first value.
Optionally, the network quality of the target serving cell is obtained based on a network evaluation index of the target serving cell, where the network evaluation index of the target serving cell includes one or more of an RSRP evaluation index of the target serving cell, a CQI evaluation index of the target serving cell, a PRB utilization evaluation index of the target serving cell, and a packet loss evaluation index of the target serving cell.
In a third aspect, the present application provides an electronic device, comprising: a processor and a memory configured to store processor-executable instructions; wherein the processor is configured to execute the instructions to implement any of the above-described optional anomaly determination methods of the first aspect.
In a fourth aspect, the present application provides a computer readable storage medium having instructions stored thereon which, when executed by an electronic device, enable the electronic device to perform any one of the above-described optional anomaly determination methods of the first aspect.
According to the anomaly determination method, the anomaly determination device, the electronic equipment and the storage medium, the electronic equipment acquires the user data of the user to be identified, and determines whether the user to be identified is an anomaly user or not based on at least one of the service feedback condition corresponding to the user to be identified, the network quality of the target service cell and the priority of the user to be identified, so that the electronic equipment can accurately and reliably determine whether the user to be identified is the anomaly user or not based on one or more of the service feedback condition corresponding to the user to be identified, the network quality of the target service cell and the priority of the user to be identified.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below.
Fig. 1 is a schematic flow chart of an anomaly determination method according to an embodiment of the present application;
FIG. 2 is a flowchart of another anomaly determination method according to an embodiment of the present application;
FIG. 3 is a flowchart illustrating another anomaly determination method according to an embodiment of the present application;
FIG. 4 is a flowchart of another anomaly determination method according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of an abnormality determining apparatus according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of another abnormality determining apparatus according to an embodiment of the present application.
Detailed Description
The abnormality determination method, apparatus, electronic device and storage medium provided in the embodiments of the present application will be described in detail below with reference to the accompanying drawings.
The terms "first" and "second" and the like in the description and in the drawings are used for distinguishing between different objects and not for describing a particular sequential order of objects, e.g., a first numerical value and a second numerical value, etc. are used for distinguishing between different numerical values and not for describing a particular sequential order of numerical values.
Furthermore, references to the terms "comprising" and "having" and any variations thereof in the description of the present application are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed but may optionally include other steps or elements not listed or inherent to such process, method, article, or apparatus.
It should be noted that, in the embodiments of the present application, words such as "exemplary" or "such as" are used to mean serving as an example, instance, or illustration. Any embodiment or design described herein as "exemplary" or "for example" should not be construed as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary" or "such as" is intended to present related concepts in a concrete fashion.
The term "and/or" as used herein includes the use of either or both of these methods.
In the description of the present application, unless otherwise indicated, the meaning of "a plurality" means two or more.
Based on the description in the background art, since in the related art, the network-withdrawal probability of the user cannot be accurately and reliably determined only according to the cell network quality of the cell in which the user is located. Based on this, the embodiment of the application provides an anomaly determination method, an apparatus, an electronic device and a storage medium, where the electronic device obtains user data of a user to be identified, and determines whether the user to be identified is an anomaly user based on at least one of a service feedback condition corresponding to the user to be identified, a network quality of a target serving cell and a priority of the user to be identified, so that the electronic device can accurately and reliably determine whether the user to be identified is an anomaly user based on one or more of the service feedback condition corresponding to the user to be identified, the network quality of the target serving cell and the priority of the user to be identified.
As shown in fig. 1, the anomaly determination method provided in the embodiment of the present application may include S101-S102.
S101, the electronic equipment acquires user data of a user to be identified.
The user data of the user to be identified comprises at least one of a service feedback condition corresponding to the user to be identified, a network feedback condition corresponding to the user to be identified, network quality of a target service cell and priority of the user to be identified, wherein the target service cell is the service cell corresponding to the user to be identified.
Optionally, the network feedback condition corresponding to the user to be identified may be a network feedback condition of the user to be identified to a resident cell, where the user to be identified may correspond to at least one target serving cell, and the resident cell is a target serving cell in the at least one target serving cell, where the number of times of access in a preset time period is greater than a number of times threshold and the access flow is greater than a flow threshold.
In one implementation manner of the embodiment of the present application, the electronic device determines, based on basic information, complaint and return visit information, a maintenance record, an online time, order product (package) information, whether a telephone fee deduction service is signed, whether a contract is a 'light contract', whether a user is fused, whether contract release is processed, a service feedback condition corresponding to the user to be identified, a network feedback condition corresponding to the user to be identified, and a priority of the user to be identified.
In one implementation manner of the embodiment of the present application, the electronic device determines the network quality of the target serving cell based on the residence of the user to be identified, the network quality condition of the cell, and the network quality data of other operators of the cell (when the user goes to the gate for maintenance by a smart engineer, the network quality data of the friend-making mobile network measured by the hand-held friend-making code, the friend-making broadband incoming line condition, and the user-to-friend-making broadband evaluation.
S102, the electronic equipment determines whether the user to be identified is an abnormal user or not based on at least one of service feedback conditions corresponding to the user to be identified, network quality of a target service cell and priority of the user to be identified.
In one implementation manner of the embodiment of the present application, the abnormal user is a user who is going off the internet, carrying a number, turning the internet, or losing.
In an implementation manner of this embodiment of the present application, the priority of the user to be identified is a first priority, a second priority or a third priority, where the priority of the first priority is higher than the priority of the second priority, the priority of the second priority is higher than the priority of the third priority, where the electronic device determines that the priority of the user to be identified is the first priority if the single card of the user to be identified is contract-free, where the single card of the user to be identified is contract-free 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 if the single card of the user to be identified is contract-free and the user number is bound to a mailbox, and the user number is the number corresponding to the user to be identified, where the single card of the user to be identified is contract-free and the user number is bound to the mailbox.
Referring to fig. 1, as shown in fig. 2, the user data of the user to be identified includes a service feedback situation corresponding to the user to be identified, a network quality of a target service cell, and a priority of the user to be identified, and 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 quality of the target service cell, and the priority of the user to be identified, and specifically includes S1021-S1023.
S1021, the electronic equipment determines a first value corresponding to the target service feedback condition, a second value corresponding to the target network feedback condition, a third value corresponding to the target network quality and a fourth value corresponding to the target priority.
The target service feedback condition is a service feedback condition corresponding to the user to be identified, the target network feedback condition is a network feedback condition corresponding to the user to be identified, the target network quality is the network quality of the target service cell, and the target priority is the priority of the user to be identified.
It should be understood that the first value reflects the degree of correlation between the feedback condition of the target service and the abnormal user of the user to be identified, and the greater the first value is, the greater the correlation between the abnormal user of the user to be identified is.
The service feedback condition corresponding to the user to be identified comprises complaint times of the user to be identified on each service in at least one service. Referring to fig. 2, as shown in fig. 3, the determining, by the electronic device, a first value corresponding to a target service feedback condition specifically includes: s1021a-S1021b.
S1021a, the electronic equipment determines the corresponding value of each service based on the complaint times and the time value relation of each service.
The number value relationship includes a plurality of complaint numbers and a value corresponding to each of the plurality of complaint numbers.
It should be understood that the service feedback condition corresponding to the user to be identified includes complaint times of the user to be identified to each service in at least one service, where the at least one service includes one or more of a call service, a mobile phone internet service, and a fixed broadband service, where the call service includes one or more of a call voice service, a call sms service, a call mms service, and a 5G new communication service, and the mobile phone internet service includes one or more of a mobile phone browsing service, a mobile phone video service, a mobile phone game service, and a mobile phone stock service, and the fixed broadband service includes one or more of a broadband browsing service, a broadband video service, a broadband game service, a broadband downloading service, and a broadband mailbox service.
In an implementation manner of the embodiment of the present application, the electronic device may perform cluster analysis (or statistical analysis) on the complaint times of each service in the at least one service and a plurality of users to obtain the number value relationship, where at least one user in the plurality of users is an abnormal user.
S1021b, the electronic equipment determines the sum of the values corresponding to each service as a first value.
In an implementation manner of the embodiment of the present application, the electronic device may perform 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 condition corresponding to the user to be identified includes complaint times of the user to be identified for each service in at least one service, the electronic device determines a value corresponding to each service based on a complaint times and a time value relationship of each service, and determines a sum of values corresponding to each service as a first value, so that the electronic device may accurately determine a first value corresponding to a target service feedback condition when the service feedback condition corresponding to the user to be identified includes the complaint times of the user to be identified for each service in at least one service, and further determine whether the user to be identified is an abnormal user based on the first value.
S1022, the electronic device determines a target value corresponding to the user to be identified based on the first value, the second value, the third value and the fourth value.
Referring to fig. 2, as shown in fig. 4, the electronic device determines a target value corresponding to the user to be identified based on the first value, the second value, the third value, and the fourth value, and specifically includes S1022a.
And S1022a, the electronic equipment determines the sum of the first value, the second value, the third value and the fourth value as a target value corresponding to the user to be identified.
In one implementation manner of the embodiment of the present application, the electronic device performs weighted average to obtain the target value corresponding to the user to be identified based on the first value, the second value, the third value, the fourth value, the first value preset weight value, the second value preset weight value, the third value preset weight value, and the fourth value preset weight value.
In the embodiment of the 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, so that the electronic device can accurately determine the target value and further determine whether the user to be identified is an abnormal user.
S1023, under the condition that the target value is greater than or equal to the value threshold, the electronic equipment determines that the user to be identified is an abnormal user.
In one implementation manner of the embodiment of the present application, the electronic device determines that the user to be identified is an abnormal user when one of the first value, the second value, the third value, and the fourth value is greater than or equal to a value threshold.
In an implementation manner of the embodiment of the present application, the electronic device may determine a sum of any two or three values of the first value, the second value, the third value, and the fourth value as the target value, and if the target value is greater than or equal to a value threshold, the electronic device determines that the user to be identified is an abnormal user.
In the embodiment of the application, the electronic device determines the first value corresponding to the target service feedback condition, the second value corresponding to the target network feedback condition, the third value corresponding to the target network quality and the fourth value corresponding to the target priority, and 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, wherein the target value is the possibility that the user to be identified has an abnormality, so that under the condition that the target value is greater than or equal to the value threshold, the possibility that the user to be identified has an abnormality is higher, and at the moment, the electronic device determines the user to be identified as an abnormal user, so that the electronic device can accurately and reliably determine the abnormal user.
The technical scheme provided by the embodiment at least has the following beneficial effects: from S101 to S102, it is known that: the electronic equipment acquires user data of the user to be identified, and determines whether the user to be identified is an abnormal user or not based on at least one of service feedback conditions corresponding to the user to be identified, network quality of a target service cell and priority of the user to be identified, so that the electronic equipment can accurately and reliably determine whether the user to be identified is the abnormal user or not based on one or more of the service feedback conditions corresponding to the user to be identified, the network quality of the target service cell and the priority of the user to be identified.
In connection with the above embodiment, 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, where the network evaluation index of the target serving cell includes one or more of an RSRP evaluation index of the target serving cell, a CQI evaluation index of the target serving cell, a PRB utilization evaluation index of the target serving cell, and a packet loss rate evaluation index of the target serving cell.
The RSRP evaluation index of the target serving cell is that the network quality of the target serving cell is poor if the RSRP of the access user is greater than or equal to-110 dbm (decibel-milliwatt) and less than 90%, the access user is at least one user who accesses the target serving cell in a preset time period, the CQI evaluation index of the target serving cell is that the network quality of the target serving cell is poor if the CQI evaluation index of the access user is that the CQI >7 and less than 80%, the PRB utilization evaluation index of the target serving cell is that the network quality of the target serving cell is poor if the PRB utilization of the target serving cell is greater than 70% in the preset time period, and the packet loss rate evaluation index of the target serving cell is that the network quality of the target serving cell is poor if the uplink packet loss rate of the target serving cell is greater than 1% and/or the downlink packet loss rate of the target serving cell is greater than 1%.
In this embodiment of the present application, the electronic device may obtain the network quality of the target serving cell based on the network evaluation index of the target serving cell, and the electronic device may accurately determine the third value based on the network quality of the target serving cell, and further, the electronic device may determine the target value and accurately determine whether the user to be identified is an abnormal user.
The embodiment of the present application may divide functional modules of an electronic device or the like according to the above method example, for example, each functional module may be divided corresponding to each function, or two or more functions may be integrated into one processing module. The integrated modules may be implemented in hardware or in software functional modules. It should be noted that, in the embodiment of the present application, the division of the modules is schematic, which is merely a logic function division, and other division manners may be implemented in actual implementation.
In the case of dividing the respective functional modules with the respective functions, fig. 5 shows a schematic diagram of one possible configuration of the abnormality determining apparatus involved in the above-described embodiment, as shown in fig. 5, the abnormality determining apparatus 10 may include: an acquisition module 101 and a determination module 102.
The obtaining module 101 is configured to obtain user data of a user to be identified, where the user data of the user to be identified includes at least one of a service feedback condition corresponding to the user to be identified, a network quality of a target serving cell, and a priority of the user to be identified, and the target serving cell is a serving cell corresponding to the user to be identified.
The determining module 102 is configured to determine whether the user to be identified is an abnormal user based on at least one of a service feedback condition corresponding to the user to be identified, a network quality of the target serving cell, and a priority of the user to be identified.
Optionally, the user data of the user to be identified includes a service feedback condition corresponding to the user to be identified, a network quality of the target serving cell, and a priority of the user to be identified.
The determining module 102 is specifically configured to determine a first value corresponding to a target service feedback situation, a second value corresponding to a target network feedback situation, a third value corresponding to a target network quality, and a fourth value corresponding to a target priority, where the target service feedback situation is a service feedback situation corresponding to the user to be identified, the target network feedback situation is a network feedback situation corresponding to the user to be identified, the target network quality is a network quality of the target serving cell, and the target priority is a priority of the user to be identified.
The determining module 102 is specifically further configured to determine a 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 determining module 102 is specifically further configured to determine that the user to be identified is an abnormal user if the target value is greater than or equal to a value 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 condition corresponding to the user to be identified includes complaint times of the user to be identified on each service in at least one service.
The determining module 102 is specifically configured to determine a value corresponding to each service based on the complaint times of each service and a number value relationship, where the number value relationship includes a plurality of complaint times and a number value corresponding to each of the plurality of complaint times.
The determining module 102 is specifically further 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 schematic diagram of one possible configuration of the abnormality determining apparatus involved in the above-described embodiment. As shown in fig. 6, the abnormality determining apparatus 20 may include: a processing module 201 and a communication module 202. The processing module 201 may be used to control and manage the operation of the abnormality determination device 20. The communication module 202 may be used to support communication of the anomaly determination device 20 with other entities. Alternatively, as shown in fig. 6, the abnormality determining apparatus 20 may further include a storage module 203 for storing program codes and data of the abnormality determining apparatus 20.
Wherein 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, or the like. The storage module 203 may be a memory.
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, the transceiver, and the memory may be connected through a bus. The bus may be a peripheral component interconnect standard (peripheral component interconnect, PCI) bus or an extended industry standard architecture (extended industry standard architecture, EISA) bus, or the like. The buses may be divided into address buses, data buses, control buses, etc.
It should be understood that, in various embodiments of the present application, the sequence numbers of the foregoing processes do not mean the order of execution, and the order of execution of the processes should be determined by the functions and internal logic thereof, and should not constitute any limitation on the implementation process of the embodiments of the present application.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may 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 the computer program instructions are loaded and executed on a computer, the processes or functions described in accordance with embodiments of the present application are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by a wired (e.g., coaxial cable, fiber optic, digital subscriber terminal line (digital subscriber line, DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device including one or more servers, data centers, etc. that can be integrated with the medium. The usable medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a magnetic tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a Solid State Disk (SSD)), or the like.
The foregoing is merely specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily think about changes or substitutions within the technical scope of the present application, and the changes and substitutions are intended to be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (12)
1. An anomaly determination method, the method comprising:
acquiring user data of a user to be identified, wherein the user data of the user to be identified comprises at least one of a service feedback condition corresponding to the user to be identified, a network feedback condition corresponding to the user to be identified, network quality of a target service cell and priority of the user to be identified, and the target service cell is a service cell corresponding to the user to be identified;
and determining whether the user to be identified is an abnormal user or not based on at least one of the service feedback condition corresponding to the user to be identified, the network quality of the target service cell and the priority of the user to be identified.
2. The anomaly determination method according to claim 1, wherein the user data of the user to be identified includes at least one of a service feedback condition corresponding to the user to be identified, a network quality of a target serving cell, and a priority of the user to be identified, and the determining whether the user to be identified is an anomaly user based on at least one of the service feedback condition corresponding to the user to be identified, the network quality of the target serving cell, and the priority of the user to be identified includes:
determining a first value corresponding to a target service feedback condition, a second value corresponding to a target network feedback condition, a third value corresponding to target network quality and a fourth value corresponding to a target priority, wherein the target service feedback condition is the service feedback condition corresponding to the user to be identified, the target network feedback condition is the network feedback condition corresponding to the user to be identified, the target network quality is the network quality of the target service cell, and the target priority is the priority of the user to be identified;
determining a target value corresponding to the user to be identified based on the first value, the second value, the third value and the fourth value;
and under the condition that the target value is greater than or equal to a value threshold, determining the user to be identified as an abnormal user.
3. The anomaly determination method of claim 2, wherein the 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 comprises:
and determining the sum of the first value, the second value, the third value and the fourth value as a target value corresponding to the user to be identified.
4. The anomaly determination method according to claim 2, wherein the service feedback condition corresponding to the user to be identified includes complaint times of the user to be identified for each service in at least one service, and the determining the first value corresponding to the target service feedback condition includes:
determining a numerical value corresponding to each service based on the complaint times of each service and a numerical value relation of times, wherein the numerical value relation of times comprises a plurality of complaint times and a numerical value corresponding to each time in the plurality of complaint times;
and determining the sum of the values corresponding to each service as the first value.
5. The anomaly determination method according to any one of claims 1 to 4, wherein the network quality of the target serving cell is obtained based on a network evaluation index of the target serving cell, the network evaluation index of the target serving cell including one or more of an RSRP evaluation index of the target serving cell, a CQI evaluation index of the target serving cell, a PRB utilization evaluation index of the target serving cell, and a packet loss rate evaluation index of the target serving cell.
6. An abnormality determination apparatus, characterized by comprising: an acquisition module and a determination module;
the acquisition module is configured to acquire user data of a user to be identified, where the user data of the user to be identified includes at least one of a service feedback situation corresponding to the user to be identified, a network quality of a target serving cell, and a priority of the user to be identified, and the target serving cell is a serving cell corresponding to the user to be identified;
the determining module is configured to determine whether the user to be identified is an abnormal user based on at least one of a service feedback situation corresponding to the user to be identified, a network quality of the target serving cell, and a priority of the user to be identified.
7. The anomaly determination device of claim 6, wherein the user data of the user to be identified includes a service feedback condition corresponding to the user to be identified, a network quality of a target serving cell, and a priority of the user to be identified;
the determining module is specifically configured to determine a first value corresponding to a target service feedback situation, a second value corresponding to a target network feedback situation, a third value corresponding to a target network quality, and a fourth value corresponding to a target priority, where the target service feedback situation is a service feedback situation corresponding to the user to be identified, the target network feedback situation is a network feedback situation corresponding to the user to be identified, the target network quality is a network quality of the target serving cell, and the target priority is a priority of the user to be identified;
the determining module is specifically further configured to determine a 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 determining module is specifically further configured to determine that the user to be identified is an abnormal user when the target value is greater than or equal to a value threshold.
8. The abnormality determining apparatus according to claim 7, wherein,
the determining module is specifically configured to determine a sum of the first value, the second value, the third value, and the fourth value as a target value corresponding to the user to be identified.
9. The anomaly determination device of claim 7, wherein the service feedback condition corresponding to the user to be identified includes a number of complaints of the user to be identified for each of at least one service;
the determining module is specifically configured to determine a value corresponding to each service based on a complaint number of each service and a number value relationship, where the number value relationship includes a plurality of complaint numbers and a number value corresponding to each of the plurality of complaint numbers;
the determining module is specifically further configured to determine a sum of values corresponding to each service as the first value.
10. The anomaly determination device according to any one of claims 6 to 9, wherein the network quality of the target serving cell is obtained based on a network evaluation index of the target serving cell, the network evaluation index of the target serving cell including one or more of an RSRP evaluation index of the target serving cell, a CQI evaluation index of the target serving cell, a PRB utilization evaluation index of the target serving cell, and a packet loss rate evaluation index of the target serving cell.
11. An electronic device, the electronic device comprising:
a processor;
a memory configured to store the processor-executable instructions;
wherein the processor is configured to execute the instructions to implement the anomaly determination method of any one of claims 1-5.
12. A computer readable storage medium having instructions stored thereon, which, when executed by an electronic device, cause the electronic device to perform the anomaly determination method of any one of claims 1-5.
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|---|---|---|---|
| CN202311182993.4A CN117354133A (en) | 2023-09-13 | 2023-09-13 | Abnormality determination method and device, electronic equipment and storage medium |
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| CN202311182993.4A CN117354133A (en) | 2023-09-13 | 2023-09-13 | Abnormality determination method and device, electronic equipment and storage medium |
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| CN117354133A true CN117354133A (en) | 2024-01-05 |
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| CN202311182993.4A Pending CN117354133A (en) | 2023-09-13 | 2023-09-13 | Abnormality determination method and device, electronic equipment and storage medium |
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