Method and apparatus for scoring communication failures

Abstract

The application discloses a communication fault scoring method and device. The method comprises the following steps: a first network element receives a reset message from a second network element, wherein communication between the first network element and the second network element fails, and the reset message is used to instruct the first network element to release resources occupied by a target user equipment; according to a target fault feature in the reset message, indication information is sent to the target user equipment, the indication information is used to instruct the target user equipment to score a fault level of the target fault feature, and a scoring result of the scoring is used to represent a severity of the target fault feature; a plurality of user equipments corresponding to the target fault feature are classified, a first type of user equipment with the same category as the target user equipment is determined; a scoring set of the first type of user equipment on the target fault feature is obtained, and a fault level of the target fault feature is determined according to the scoring set. The application solves the technical problem of low accuracy of fault severity evaluation of communication fault.

Description

Technical Field

[0001] This application relates to the field of communication security, and more specifically, to a method and apparatus for scoring communication faults. Background Technology

[0002] Among related technologies, some involve developing 5G communication technologies to support 4G terminals, enabling early adoption of 5G, or conducting innovative research within 3GPP on application-aware interoperability between 4G and 5G, fully leveraging the advantages of 5G technology and making rational use of existing 4G resources. Furthermore, core network interoperability schemes are used to achieve collaboration between 4G and 5G networks. In another related technology, early warning technology obtains the probability of a fault by predicting the probability of fault occurrence through probability analysis of fault data. The accuracy of the predicted probability varies depending on the model used.

[0003] There is currently no effective solution to the above problems. Summary of the Invention

[0004] This application provides a method and apparatus for scoring communication faults, which at least solves the technical problem in the related art where the evaluation of the severity of communication faults by a single user equipment results in low evaluation accuracy.

[0005] According to one aspect of the embodiments of this application, a method for scoring communication faults is provided, comprising: a first network element receiving a reset message from a second network element, wherein a communication fault has occurred between the first network element and the second network element, and the reset message is used to instruct the first network element to release resources occupied by a target user equipment; sending indication information to the target user equipment according to a target fault feature in the reset message, the indication information being used to instruct the target user equipment to score the fault level of the target fault feature, and the scoring result being used to characterize the severity of the target fault feature; classifying multiple user equipments corresponding to the target fault feature to determine a first category of user equipment that is of the same category as the target user equipment; obtaining a set of scores for the target fault feature from the first category of user equipment, and determining the fault level of the target fault feature based on the score set.

[0006] Optionally, multiple user equipments corresponding to the target fault information are classified to determine a first category of user equipment that is the same as the target user equipment category. This includes: acquiring historical communication fault data, which contains multiple communication fault features; determining the prediction results of multiple user equipments for the multiple communication fault features; comparing the prediction results; and determining the first category of user equipment based on the comparison results.

[0007] Optionally, determining the prediction results of multiple user equipment for multiple communication fault characteristics includes: determining the probability that communication between the first network element and the second network element fails when multiple communication fault characteristics are detected, thus obtaining a first prediction result in the prediction results; and determining the probability that communication between the first network element and the second network element does not fail when multiple communication fault characteristics are detected, thus obtaining a second prediction result in the prediction results, wherein the first network element is an access network element and the second network element is a core network element.

[0008] Optionally, comparing the prediction results and determining the first type of user equipment based on the comparison results includes: comparing the first probability corresponding to the first prediction result with the second probability corresponding to the second prediction result; and determining the user equipment whose first probability is less than the second probability as the first type of user equipment.

[0009] Optionally, obtaining the score set of the first type of user equipment for the target fault includes: determining the score of the target user equipment for the target fault characteristics; determining the scores of the first type of user equipment and the target user equipment for various communication fault characteristics; determining the correlation coefficient set between the first type of user equipment and the target user equipment based on the determined scores of the first type of user equipment and the target user equipment for various communication fault characteristics; and determining the score set of the first type of user equipment for the target fault based on the score of the target user equipment for the target fault characteristics and the correlation coefficient set.

[0010] Optionally, after obtaining the score set of the first type of user equipment for the target fault, the method further includes: determining the score of the target user equipment for the unscored fault features; and determining the score of the first type of user equipment for the unscored fault features based on the cosine similarity between the target user equipment and the first type of user equipment.

[0011] According to another aspect of the embodiments of this application, a communication fault scoring device is also provided, comprising: a device for determining the duration of a target object's stay in a target area, comprising: a receiving module, configured to receive a reset message from a second network element, wherein a communication failure has occurred between a first network element and the second network element, and the reset message is configured to instruct the first network element to release the resources occupied by the target user equipment; a sending module, configured to send instruction information to the target user equipment according to the target fault characteristics in the reset message, the instruction information being configured to instruct the target user equipment to score the fault level of the target fault characteristics, and the scoring result being configured to characterize the severity of the target fault characteristics; a classification module, configured to classify multiple user equipments corresponding to the target fault characteristics, and determine a first category of user equipment that is of the same category as the target user equipment; and a scoring module, configured to obtain a set of scores for the target fault characteristics from the first category of user equipment, and determine the fault level of the target fault characteristics based on the score set.

[0012] According to another aspect of the embodiments of this application, a communication system is also provided, including: multiple user equipments, a base station, and a core network; the base station is used to receive a reset message from the core network, wherein a communication failure occurs between the base station and the core network, and the reset message is used to instruct the core network to release resources occupied by a target user equipment; the system sends instruction information to the target user equipment according to a target fault characteristic in the reset message, the instruction information being used to instruct the target user equipment to score the fault level of the target fault characteristic, and the scoring result being used to characterize the severity of the target fault characteristic; the system classifies the multiple user equipments corresponding to the target fault characteristic to determine a first category of user equipment that is of the same category as the target user equipment; the system obtains a score set of the first category of user equipment for the target fault characteristic, and determines the fault level of the target fault characteristic based on the score set; the multiple user equipments are used to score the fault characteristic; and the core network is used to send a reset message to the base station.

[0013] According to another aspect of the embodiments of this application, a non-volatile storage medium is also provided, wherein a program is stored in the non-volatile storage medium, wherein the program controls the device where the non-volatile storage medium is located to execute the above-mentioned communication fault scoring method when it runs.

[0014] According to another aspect of the embodiments of this application, a computer device is also provided, including: a memory and a processor, the processor being configured to run a program stored in the memory, wherein the program executes the aforementioned communication failure scoring method during runtime.

[0015] In this embodiment, a first network element receives a reset message from a second network element, where a communication failure occurs between the first and second network elements. The reset message instructs the first network element to release the resources occupied by the target user equipment. Based on the target fault information in the reset message, an instruction message is sent to the target user equipment, instructing it to score the fault level of the target fault feature. The scoring result characterizes the severity of the target fault feature. Multiple user equipments corresponding to the target fault feature are classified, and a first category of user equipment with the same category as the target user equipment is determined. A score set of the first category of user equipment for the target fault feature is obtained, and the fault level of the target fault feature is determined based on the score set. By identifying the first category of user equipment with the same category as the target user equipment, scores from multiple user equipment for the target fault feature are obtained. This achieves the goal of obtaining severity assessments of the target fault feature from multiple user equipment, improving the accuracy of the severity assessment of communication faults by user equipment. This solves the technical problem in related technologies where low accuracy is caused by evaluating the severity of communication faults by a single user equipment. Attached Figure Description

[0016] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings:

[0017] Figure 1 This is a hardware structure block diagram of a computer terminal (or mobile device) for a scoring method for communication faults according to an embodiment of this application.

[0018] Figure 2 This is a flowchart illustrating a method for scoring communication faults according to this application;

[0019] Figure 3 This is a schematic diagram of an optional communication fault scoring device according to an embodiment of this application. Detailed Implementation

[0020] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort should fall within the scope of protection of the present application.

[0021] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0022] In related technologies, only the evaluation of the severity of communication faults by a single user device is considered, without comprehensively considering the overall perception of communication faults by different devices of the same type. Therefore, the accuracy of the evaluation and analysis is low. To solve this problem, this application provides a method embodiment for scoring communication faults. It should be noted that the steps shown in the flowcharts can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowcharts, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0023] The methods and embodiments provided in this application can be executed on mobile terminals, computer terminals, or similar computing devices. Figure 1 A hardware block diagram of a computer terminal (or mobile device) for implementing a method for scoring communication faults is shown. Figure 1 As shown, the computer terminal 10 (or mobile device 10) may include one or more processors 102 (shown as 102a, 102b, ..., 102n in the figure) (processor 102 may include, but is not limited to, a microprocessor MCU or a programmable logic device FPGA, etc.), a memory 104 for storing data, and a transmission module 106 for communication functions. In addition, it may also include: a display, an input / output interface (I / O interface), a universal serial bus (USB) port (which may be included as one of the ports of a BUS bus), a network interface, a power supply, and / or a camera. Those skilled in the art will understand that... Figure 1 The structure shown is for illustrative purposes only and does not limit the structure of the aforementioned electronic device. For example, computer terminal 10 may also include... Figure 1 The more or fewer components shown, or having the same Figure 1 The different configurations shown.

[0024] It should be noted that the aforementioned one or more processors 102 and / or other data processing circuits are generally referred to herein as "data processing circuits". These data processing circuits may be embodied, in whole or in part, in software, hardware, firmware, or any other combination thereof. Furthermore, the data processing circuits may be a single, independent processing module, or may be integrated, in whole or in part, into any other element within the computer terminal 10 (or mobile device). As involved in the embodiments of this application, the data processing circuits serve as a processor control mechanism (e.g., selection of a variable resistor termination path connected to an interface).

[0025] The memory 104 can be used to store software programs and modules of application software, such as the program instructions / data storage device corresponding to the communication fault scoring method in this embodiment. The processor 102 executes various functional applications and data processing by running the software programs and modules stored in the memory 104, thereby implementing the aforementioned communication fault scoring method. The memory 104 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 104 may further include memory remotely located relative to the processor 102, and these remote memories can be connected to the computer terminal 10 via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0026] The transmission device 106 is used to receive or send data via a network. Specific examples of the network described above may include a wireless network provided by the communication provider of the computer terminal 10. In one example, the transmission device 106 includes a Network Interface Controller (NIC), which can connect to other network devices via a base station to communicate with the Internet. In another example, the transmission device 106 may be a Radio Frequency (RF) module, used for wireless communication with the Internet.

[0027] The display can be, for example, a touchscreen liquid crystal display (LCD) that allows the user to interact with the user interface of the computer terminal 10 (or mobile device).

[0028] Under the above operating environment, embodiments of this application provide a method for scoring communication failures, such as... Figure 2 As shown, the method includes the following steps:

[0029] In step S202, the first network element receives a reset message from the second network element, wherein a communication failure occurs between the first network element and the second network element, and the reset message is used to instruct the first network element to release the resources occupied by the target user equipment.

[0030] Step S204: Send indication information to the target user equipment according to the target fault characteristics in the reset message. The indication information is used to instruct the target user equipment to score the fault level of the target fault characteristics. The scoring result is used to characterize the severity of the target fault characteristics.

[0031] Step S206: Classify the multiple user equipments corresponding to the target fault characteristics and determine the first type of user equipment that is the same as the target user equipment category;

[0032] Step S208: Obtain the score set of the first type of user equipment for the target fault feature, and determine the fault level of the target fault feature based on the score set.

[0033] Through the above steps, it is possible to obtain the scores of multiple user equipment for the target fault characteristics by identifying the first type of user equipment that is the same as the target user equipment category. This achieves the purpose of obtaining the severity evaluation of the target fault characteristics by multiple user equipment, and improves the technical effect of obtaining the fault severity evaluation of the user equipment for communication faults. In turn, it solves the technical problem in related technologies where the evaluation of the fault severity of communication faults by a single user equipment results in low evaluation accuracy.

[0034] It should be noted that after the first network element releases the resources occupied by the target user equipment, the system resources acquired by the target user equipment are reset.

[0035] In step S202, if a communication failure occurs between the first network element and the second network element, the network element that has failed sends a Reset message to the network element that has not failed.

[0036] It is understandable that the user equipment affected by a network element failure does not include all user equipment corresponding to that network element.

[0037] It should be further explained that the Reset message should include at least the following: the time when the fault feature occurred, the type of fault feature, the user equipment corresponding to the fault feature, and the identifier of the network element where the fault occurred.

[0038] In step S206, the multiple user equipments corresponding to the target fault feature are determined by the following methods: determining the network element identifier corresponding to the fault feature in the reset message, for example, the first network element, and determining that the user equipment connected to the first network element is one of the multiple user equipments corresponding to the target fault feature.

[0039] Steps S202 to S208 are described below through specific embodiments.

[0040] In some embodiments of this application, multiple user equipments corresponding to the target fault information are classified to determine a first category of user equipment that is the same as the target user equipment category. This includes: acquiring historical communication fault data, which contains multiple communication fault features; determining the prediction results of multiple user equipments for the multiple communication fault features; comparing the prediction results; and determining the first category of user equipment based on the comparison results.

[0041] It should be noted that various communication failure characteristics include at least: network latency, packet loss, memory usage, CPU usage, and disk usage.

[0042] In one alternative approach, a Bayesian algorithm can be used to determine the comparison results. Specifically, firstly, the probability that communication between the first network element and the second network element fails when multiple communication fault characteristics are detected is determined by multiple user equipment, resulting in a first prediction result. Then, the probability that communication between the first network element and the second network element does not fail when multiple communication fault characteristics are detected is determined, resulting in a second prediction result. Here, the first network element is the access network element, and the second network element is the core network element.

[0043] Taking a set of various communication fault characteristics, T, as an example, the first prediction result is determined by the following formula:

[0044]

[0045] In the formula, P(T|R1) represents the probability of detecting multiple communication fault features when communication between the first network element and the second network element fails, P(T) represents the probability of detecting multiple communication fault features, P(R1) represents the probability of communication between the first network element and the second network element failing, and P(R1|T) represents the first prediction result, which is used to represent the probability that multiple user equipment determines that communication between the first network element and the second network element has failed when multiple communication fault features are detected.

[0046] It should be noted that the method for determining the second prediction result is similar to that for determining the first prediction result, and will not be repeated here.

[0047] In one alternative approach, comparing prediction results and determining a first type of user equipment based on the comparison results includes: comparing a first probability corresponding to a first prediction result with a second probability corresponding to a second prediction result; and determining user equipment whose first probability is less than the second probability as the first type of user equipment.

[0048] Understandably, the first probability is the probability that multiple user equipments determine that communication between the first network element and the second network element has failed when multiple communication fault characteristics are detected, and the second probability is the probability that multiple user equipments determine that communication between the first network element and the second network element has not failed when multiple communication fault characteristics are detected.

[0049] In some embodiments of this application, obtaining a set of scores for a target fault by a first type of user equipment includes: determining the score of the target fault feature by the target user equipment; determining the scores of the first type of user equipment and the target user equipment for various communication fault features; determining a set of correlation coefficients between the first type of user equipment and the target user equipment based on the determined scores of the first type of user equipment and the target user equipment for various communication fault features; and determining a set of scores for the target fault by the first type of user equipment based on the score of the target fault feature by the target user equipment and the set of correlation coefficients.

[0050] In practical applications, the Pearson correlation coefficient can be used to determine the set of correlation coefficients between the first type of user equipment and the target user equipment, as shown in the following formula:

[0051]

[0052] In the formula, s(u,v) represents the correlation coefficient between the target user equipment and the first type of user equipment, and I u I represents the first set of communication fault features for the u-score of the first type of user equipment. vThis represents the second set of communication fault features for the target user equipment v score, where i represents the i-th communication fault feature, i∈I. u ∩I v This indicates that the i-th communication fault feature is a communication fault feature jointly scored by the target user equipment v and the first type of user equipment u, r u,i This represents the score of the first type of user equipment u for the i-th communication fault characteristic, r v,i This represents the score of the target user equipment v for the i-th communication fault feature. This represents the average score of all communication fault features in the first communication fault feature set for the first type of user equipment u. This represents the average score of all communication fault features in the second set of communication fault features for the target user equipment v.

[0053] It should be noted that the first set of communication fault features and the second set of communication fault features can be the same set or different sets.

[0054] Optionally, after obtaining the score set of the first type of user equipment for the target fault, the method further includes: determining the score of the target user equipment for the unscored fault features; and determining the score of the first type of user equipment for the unscored fault features based on the cosine similarity between the target user equipment and the first type of user equipment.

[0055] In practical application scenarios, user equipment m adjacent to user equipment u (which belongs to the same category as user equipment u) is identified. The similarity s(u,m) between user equipment m and user equipment u is determined. Based on the following formula, the score of user equipment u for the unrated fault feature o is determined:

[0056]

[0057] In the formula, p u,o This represents the rating of user equipment u for the unrated fault feature o, r m,o Scoring of fault characteristic o It represents the average score of user equipment m for all fault features in the third communication fault feature set, where fault feature o belongs to the third communication fault feature set.

[0058] This application provides a communication fault scoring device, such as... Figure 3As shown, the system includes: a receiving module 30, used to receive a reset message from a second network element, wherein a communication failure has occurred between the first network element and the second network element, and the reset message is used to instruct the first network element to release the resources occupied by the target user equipment; a sending module 32, used to send instruction information to the target user equipment according to the target fault characteristics in the reset message, the instruction information is used to instruct the target user equipment to score the fault level of the target fault characteristics, and the scoring result is used to characterize the severity of the target fault characteristics; a classification module 34, used to classify multiple user equipments corresponding to the target fault characteristics and determine a first category of user equipment that is the same as the target user equipment; and a scoring module 36, used to obtain a score set of the first category of user equipment for the target fault characteristics and determine the fault level of the target fault characteristics based on the score set.

[0059] The classification module 34 includes: a classification submodule, which is used to acquire historical communication fault data, which contains various communication fault characteristics; determine the prediction results of multiple user equipment for various communication fault characteristics; compare the prediction results; and determine the first type of user equipment based on the comparison results.

[0060] The scoring module 36 includes: a first determination submodule, a comparison submodule, an acquisition submodule, and a prediction submodule. The first determination submodule is used to determine the probability that communication between the first network element and the second network element has failed when multiple communication fault characteristics are detected, and to obtain the first prediction result in the prediction results; and to determine the probability that communication between the first network element and the second network element has not failed when multiple communication fault characteristics are detected, and to obtain the second prediction result in the prediction results. Here, the first network element is an access network element, and the second network element is a core network element.

[0061] The comparison submodule is used to compare the first probability corresponding to the first prediction result with the second probability corresponding to the second prediction result; and to identify user equipment whose first probability is less than the second probability as the first type of user equipment.

[0062] The acquisition submodule is used to determine the target user equipment's score for the target fault feature; determine the scores of the first type of user equipment and the target user equipment for various communication fault features; determine the correlation coefficient set between the first type of user equipment and the target user equipment based on the determined scores of the first type of user equipment and the target user equipment for various communication fault features; and determine the score set of the first type of user equipment for the target fault based on the target user equipment's score for the target fault feature and the correlation coefficient set.

[0063] The prediction submodule is used to determine the score of the target user equipment for the unrated fault features; and to determine the score of the first type of user equipment for the unrated fault features based on the cosine similarity between the target user equipment and the first type of user equipment.

[0064] According to another aspect of the embodiments of this application, a non-volatile storage medium is also provided, wherein a program is stored in the non-volatile storage medium, wherein the program controls the device where the non-volatile storage medium is located to execute the above-mentioned communication fault scoring method when it runs.

[0065] According to another aspect of the embodiments of this application, a computer device is also provided, including: a memory and a processor, the processor being configured to run a program stored in the memory, wherein the program executes the above-described communication failure scoring method during runtime.

[0066] It should be noted that each module in the above-mentioned communication fault scoring device can be a program module (for example, a set of program instructions that implement a certain function) or a hardware module. For the latter, it can be manifested in the following forms, but is not limited to them: each of the above modules is manifested as a processor, or the functions of each of the above modules are implemented by a processor.

[0067] The sequence numbers of the embodiments in this application are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0068] In the above embodiments of this application, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0069] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. The device embodiments described above are merely illustrative; for example, the division of units can be a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual coupling, direct coupling, or communication connection may be through some interfaces; the indirect coupling or communication connection of units or modules may be electrical or other forms.

[0070] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0071] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0072] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to related technologies, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as a USB flash drive, read-only memory (ROM), random access memory (RAM), portable hard drive, magnetic disk, or optical disk.

[0073] The above are merely preferred embodiments of this application. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of this application, and these improvements and modifications should also be considered within the scope of protection of this application.

Claims

1. A method for scoring communication faults, characterized in that, include: The first network element receives a reset message from the second network element, wherein a communication failure has occurred between the first network element and the second network element, and the reset message is used to instruct the first network element to release the resources occupied by the target user equipment; Based on the target fault characteristics in the reset message, an instruction message is sent to the target user equipment. The instruction message is used to instruct the target user equipment to score the fault level of the target fault characteristics. The score result is used to characterize the severity of the target fault characteristics. Multiple user equipments corresponding to the target fault characteristics are classified to determine a first category of user equipment that is the same as the target user equipment category. Obtain a score set of the first type of user equipment for the target fault feature, and determine the fault level of the target fault feature based on the score set; The step of classifying multiple user equipments corresponding to the target fault features and determining a first category of user equipment that is the same as the target user equipment category includes: acquiring historical communication fault data, wherein the historical communication fault data contains multiple communication fault features; determining the prediction results of the multiple user equipments for the multiple communication fault features; comparing the prediction results, and determining the first category of user equipment based on the comparison results; The step of determining the prediction results of the plurality of user equipment for the plurality of communication fault characteristics includes: determining the probability that communication between the first network element and the second network element will fail when the plurality of communication fault characteristics are detected, thereby obtaining a first prediction result in the prediction results; and determining the probability that communication between the first network element and the second network element will not fail when the plurality of communication fault characteristics are detected, thereby obtaining a second prediction result in the prediction results, wherein the first network element is an access network element and the second network element is a core network element.

2. The method according to claim 1, characterized in that, The comparison of the prediction results and the determination of the first type of user equipment based on the comparison results include: Compare the first probability corresponding to the first prediction result with the second probability corresponding to the second prediction result; User equipment with a first probability less than the second probability is identified as the first type of user equipment.

3. The method according to claim 1, characterized in that, The step of obtaining the score set of the first type of user equipment for the target fault includes: Determine the score of the target user equipment for the target fault characteristics; Determine the scores of the first type of user equipment and the target user equipment for various communication fault characteristics; The correlation coefficient set between the first type of user equipment and the target user equipment is determined based on the scores of the first type of user equipment and the target user equipment for the various communication fault characteristics. Based on the target user equipment's score for the target fault feature and the set of correlation coefficients, determine the score set for the target fault of the first type of user equipment.

4. The method according to claim 3, characterized in that, After obtaining the score set of the first type of user equipment for the target fault, the method further includes: Determine the score of the target user equipment for the unrated fault features; The score of the unrated fault feature of the first type of user equipment is determined based on the cosine similarity between the target user equipment and the first type of user equipment.

5. A scoring device for communication faults, characterized in that, include: A receiving module is used to receive a reset message from a second network element, wherein a communication failure has occurred between the first network element and the second network element, and the reset message is used to instruct the first network element to release the resources occupied by the target user equipment; The sending module is configured to send indication information to the target user equipment based on the target fault characteristics in the reset message. The indication information is used to instruct the target user equipment to score the fault level of the target fault characteristics, and the scoring result is used to characterize the severity of the target fault characteristics. The classification module is used to classify multiple user equipments corresponding to the target fault characteristics and determine a first category of user equipment that is the same as the target user equipment category; The scoring module is used to obtain a set of scores for the target fault feature from the first type of user equipment, and to determine the fault level of the target fault feature based on the set of scores. The step of classifying multiple user equipments corresponding to the target fault features and determining a first category of user equipment that is the same as the target user equipment category includes: acquiring historical communication fault data, wherein the historical communication fault data contains multiple communication fault features; determining the prediction results of the multiple user equipments for the multiple communication fault features; comparing the prediction results, and determining the first category of user equipment based on the comparison results; The step of determining the prediction results of the plurality of user equipment for the plurality of communication fault characteristics includes: determining the probability that communication between the first network element and the second network element will fail when the plurality of communication fault characteristics are detected, thereby obtaining a first prediction result in the prediction results; and determining the probability that communication between the first network element and the second network element will not fail when the plurality of communication fault characteristics are detected, thereby obtaining a second prediction result in the prediction results, wherein the first network element is an access network element and the second network element is a core network element.

6. A communication system, characterized in that, include: Multiple user equipment, base stations, and core network; The base station is used to receive a reset message from the core network, wherein a communication failure has occurred between the base station and the core network, and the reset message is used to instruct the base station to release resources occupied by the target user equipment; according to the target fault characteristics in the reset message, the base station sends instruction information to the target user equipment, the instruction information is used to instruct the target user equipment to score the fault level of the target fault characteristics, and the scoring result is used to characterize the severity of the target fault characteristics; multiple user equipments corresponding to the target fault characteristics are classified to determine a first category of user equipment that is in the same category as the target user equipment; the scoring set of the first category of user equipment for the target fault characteristics is obtained, and the fault level of the target fault characteristics is determined based on the scoring set; The multiple user equipments are used to score fault characteristics; The core network is used to send the reset message to the base station; The step of classifying multiple user equipments corresponding to the target fault features and determining a first category of user equipment that is the same as the target user equipment category includes: acquiring historical communication fault data, wherein the historical communication fault data contains multiple communication fault features; determining the prediction results of the multiple user equipments for the multiple communication fault features; comparing the prediction results, and determining the first category of user equipment based on the comparison results; The step of determining the prediction results of the plurality of user equipment for the plurality of communication fault features includes: determining the probability that the plurality of user equipment determines a communication failure between the base station and the core network when the plurality of communication fault features are detected, thereby obtaining a first prediction result in the prediction results; and determining the probability that the plurality of user equipment determines no communication failure between the base station and the core network when the plurality of communication fault features are detected, thereby obtaining a second prediction result in the prediction results.

7. A non-volatile storage medium, characterized in that, The non-volatile storage medium stores a program, wherein when the program is executed, it controls the device containing the non-volatile storage medium to execute the communication fault scoring method according to any one of claims 1 to 4.

8. A computer device, characterized in that, include: A memory and a processor, the processor being configured to run a program stored in the memory, wherein the program, when running, executes the communication fault scoring method according to any one of claims 1 to 4.

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