A network performance anomaly analysis method, device and readable storage medium

Abstract

A network performance anomaly analysis method, device and readable storage medium are used for analyzing abnormal conditions of network performance parameters. In the present application, a first device receives network performance anomaly analysis requirement information, analyzes network performance parameters according to the network performance anomaly analysis requirement information, and sends obtained network performance anomaly analysis results. The network performance anomaly analysis requirement information includes at least one of information of the network performance parameters or a network performance anomaly analysis type. The information of the network performance parameters includes at least one of an identifier of the network performance parameters or category information of the network performance parameters. The network performance anomaly analysis type includes at least one of network performance anomaly detection analysis, network performance anomaly root cause analysis, or network performance anomaly repair suggestion analysis. In this way, the operation and maintenance personnel can not need to monitor a large amount of information in real time, so that manpower can be saved, and network anomaly analysis can be performed according to actual requirements of the operation and maintenance personnel.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of network maintenance, and in particular to a network performance anomaly analysis method and device and a readable storage medium. BACKGROUND

[0002] The operator network has developed to the 5th generation (5G), and the network architecture becomes more flexible (such as the service of the core network, the separation of the central unit (CU) and the distribute unit (DU) of the radio access network (RAN), the flexible customization of the network slice, etc.), and the demand for network performance parameters such as coverage, capacity, rate, and mobility of the network is constantly increasing. The 5th generation (5G) industry is also increasingly rich and diverse, and the demand for network performance parameters such as service user delay and call drop rate is also increasing. The operation and maintenance personnel need to monitor a large amount of information in real time to determine whether the network performance parameters of the current network are abnormal, and this scheme needs to consume a large amount of manpower.

[0003] Therefore, there is an urgent need for a network performance anomaly analysis scheme for monitoring network performance parameters. SUMMARY

[0004] The embodiments of the present application provide a network performance anomaly analysis method, device and readable storage medium for analyzing abnormal conditions of network performance parameters.

[0005] In a first aspect, the embodiments of the present application provide a network problem processing method, comprising:

[0006] The first device receives network performance anomaly analysis requirement information; the network performance anomaly analysis requirement information includes at least one of information of network performance parameters or a network performance anomaly analysis type; the information of network performance parameters includes at least one of an identifier of the network performance parameters or category information of the network performance parameters; the network performance anomaly analysis type includes at least one of network performance anomaly detection analysis, network performance anomaly root cause analysis, or network performance anomaly repair suggestion analysis. The first device analyzes the network performance parameters according to the network performance anomaly analysis requirement information to obtain a network performance anomaly analysis result. The first device sends the network performance anomaly analysis result.

[0007] In the embodiments of the present application, the first device can analyze the network performance parameters and output the network performance anomaly analysis result. In this way, the operation and maintenance personnel do not need to monitor a large amount of information in real time, thereby saving manpower.

[0008] In another possible implementation, the first device can analyze the network performance parameters according to the network performance anomaly analysis requirement information, so that more diversified network performance anomaly analysis services can be provided. For example, the network performance anomaly analysis requirement information can be provided by the operation and maintenance personnel based on actual requirements, so that the network anomaly analysis result can be more consistent with the actual requirements of the operation and maintenance personnel.

[0009] The network performance anomaly analysis requirement information can include one or more network performance parameters, so that the first device can perform network anomaly analysis on the specified network performance parameters, and can also determine the operation to be performed according to the network performance anomaly analysis type, so that the load of the first device in network performance anomaly analysis can be reduced, and the network performance anomaly analysis result that is more consistent with the actual requirements of the operation and maintenance personnel can be provided.

[0010] In a possible implementation, the network performance anomaly analysis requirement information further includes an abnormal threshold corresponding to the network performance parameter and type information of the abnormal threshold. The type information of the abnormal threshold includes static threshold type information or dynamic threshold type information. Since the network performance anomaly analysis requirement information includes the abnormal threshold and the type information of the abnormal threshold, the operation and maintenance personnel can determine the type of the abnormal threshold of the network performance parameter according to actual requirements, so that the first device can provide more diversified services that are more consistent with the requirements of the operation and maintenance personnel.

[0011] In a possible implementation, in a case where the type information of the abnormal threshold includes the static threshold type information, whether the network performance parameter is abnormal is determined according to the abnormal threshold.

[0012] In a possible implementation, in a case where the type information of the abnormal threshold includes the dynamic threshold type information, an abnormal threshold update value is determined, and whether the network performance parameter is abnormal is determined according to the abnormal threshold update value. It can be seen that this scheme can dynamically adjust the abnormal threshold according to actual conditions, and in actual applications, the dynamic range of the network performance parameter is large, and if the dynamic threshold type is used, a network anomaly analysis result that is more consistent with the actual application scenario can be obtained.

[0013] In a possible implementation, the network performance anomaly requirement information further includes object information of network performance anomaly analysis. The object information of network performance anomaly analysis includes at least one of the following: information of a geographic area; or, network device information. Since the network performance anomaly analysis requirement information includes the object information of network performance anomaly analysis, the first device can only analyze the area or network element indicated by the object information of network performance anomaly analysis, and this scheme can save the network analysis load.

[0014] In a possible implementation, the network performance anomaly analysis requirement information further includes at least one of the following: a first trigger condition for performing root cause analysis on the network performance parameter anomaly; or a second trigger condition for providing a repair suggestion for the network performance parameter anomaly.

[0015] In a possible implementation, the network performance anomaly analysis type information includes a network performance anomaly root cause analysis type and a first trigger condition, and in a case where the first trigger condition is met in the network performance parameter anomaly case, the root cause analysis is performed on the network performance parameter anomaly, and a root cause analysis result is obtained; and the network performance anomaly analysis result includes the root cause analysis result. Since the network performance anomaly analysis requirement information includes the first trigger condition, the first device does not need to perform root cause analysis on all network performance parameter anomalies, and thus the network load can be reduced.

[0016] In a possible implementation, the network performance anomaly analysis type information includes a network performance anomaly repair suggestion analysis type and a second trigger condition, and in a case where the second trigger condition is met in the network performance parameter anomaly case, a repair suggestion is determined according to the network performance parameter anomaly case; and the network performance anomaly analysis result includes the root cause analysis result repair suggestion. Since the network performance anomaly analysis requirement information includes the second trigger condition, the first device does not need to provide a repair suggestion for all network performance parameter anomalies, and thus the network load can be reduced.

[0017] In a possible implementation, the network performance anomaly analysis requirement information further includes network performance anomaly analysis statistical information. The network performance anomaly analysis statistical information indicates the content included in the network performance anomaly analysis result. The network performance anomaly analysis statistical information includes at least one of the following: a number of cells in which the network performance parameter anomaly occurs, a number of grids in which the network performance parameter anomaly occurs, a number of network elements in which the network performance parameter anomaly occurs, or a number of times of network performance parameter anomaly. Since the network performance anomaly analysis requirement information includes the network performance anomaly analysis statistical information, the first device can provide a variety of services for the operation and maintenance personnel, such as providing the operation and maintenance personnel with a network performance anomaly analysis result that is more in line with their actual needs.

[0018] In a possible implementation, before receiving the network performance anomaly analysis request, the method further includes: sending a first message, the first message including capability information indicating supported network performance anomaly analysis capability information; and the network performance anomaly analysis requirement information is set according to the capability information. In this way, other devices can determine the network performance anomaly analysis requirement information in combination with the capability information, so that the parameters in the network performance anomaly analysis requirement information are set within the range supported by the first device.

[0019] In a second aspect, the embodiments of the present application provide a network performance anomaly analysis method. In the method, a second device sends network performance anomaly analysis requirement information. The network performance anomaly analysis requirement information indicates a requirement met by network performance parameter analysis. The network performance anomaly analysis requirement information includes at least one of information of the network performance parameter or a network performance anomaly analysis type. The information of the network performance parameter includes at least one of an identifier of the network performance parameter or category information of the network performance parameter. The network performance anomaly analysis type includes at least one of network performance anomaly detection analysis, network performance anomaly root cause analysis, or network performance anomaly repair suggestion analysis. The second device receives network performance anomaly analysis results.

[0020] In the embodiments of the present application, the second device can send the network performance anomaly analysis requirement information, so that the received network performance anomaly analysis results are more matched with the actual needs of the second device. In addition, the network performance anomaly analysis requirement information can include one or more network performance parameters, and can also specify the network performance anomaly analysis type, thereby reducing the load of network performance anomaly analysis and providing network performance anomaly analysis results more in line with the actual needs of the operation and maintenance personnel.

[0021] In a possible implementation, the network performance anomaly analysis requirement information further includes an abnormal threshold corresponding to the network performance parameter and type information of the abnormal threshold. The type information of the abnormal threshold includes static threshold type information or dynamic threshold type information. The static threshold type information indicates that whether the network performance parameter is abnormal is determined according to the abnormal threshold. The dynamic threshold type information indicates that an abnormal threshold update value is determined, and whether the network performance parameter is abnormal is determined according to the abnormal threshold update value. For related beneficial effects, see the first aspect, which will not be repeated here.

[0022] In a possible implementation, the network performance anomaly requirement information further includes object information of network performance anomaly analysis. The object information of network performance anomaly analysis indicates a data source of network performance anomaly analysis. The object information of network performance anomaly analysis includes at least one of the following: information of a geographic area, or network device information. For related beneficial effects, see the first aspect, which will not be repeated here.

[0023] In a possible implementation, the network performance anomaly analysis requirement information further includes at least one of the following: a first trigger condition for root cause analysis of an abnormality of the network performance parameter; or a second trigger condition for providing a repair suggestion for the abnormality of the network performance parameter. For related beneficial effects, see the first aspect, which will not be repeated here.

[0024] In a possible implementation, the network performance anomaly analysis requirement information further comprises network performance anomaly analysis statistical information. The network performance anomaly analysis statistical information indicates contents included in the network performance anomaly analysis result. The network performance anomaly analysis statistical information comprises at least one of the following: a number of cells in which the network performance parameter is abnormal, a number of grids in which the network performance parameter is abnormal, a number of network elements in which the network performance parameter is abnormal, or a number of times of network performance parameter abnormality. For related advantages, refer to the first aspect, which will not be repeated here.

[0025] In a possible implementation, before receiving the network performance anomaly analysis request, the second device further receives a first message, and the first message comprises capability information indicating supported network performance anomaly analysis capability information. The second device determines the network performance anomaly analysis requirement information according to the capability information.

[0026] In this way, the other device can determine the network performance anomaly analysis requirement information in combination with the capability information, so that parameters in the network performance anomaly analysis requirement information are set within a range supported by the first device.

[0027] In a third aspect, a device is provided, which comprises a communication unit and a processing unit. The device can be the first device or the second device. The device can perform any of the first aspect to the second aspect, and any of the implementation forms of any of the aspects. The communication unit is configured to perform functions related to sending and receiving. Optionally, the communication unit comprises a receiving unit and a sending unit. In one design, the device is a communication chip, and the processing unit can be one or more processors or processor cores, and the communication unit can be an input / output circuit or a port of the communication chip.

[0028] In another design, the communication unit can be a transmitter and a receiver, or the communication unit can be a transmitter and a receiver.

[0029] Optionally, the device further comprises various modules configured to perform any of the first aspect to the second aspect, and any of the implementation forms of any of the aspects.

[0030] In a fourth aspect, a device is provided, which comprises a processor and a memory. The device can be the first device or the second device. Optionally, the device further comprises a transceiver. The memory is configured to store a computer program or instructions, and the processor is configured to invoke and run the computer program or instructions from the memory. When the processor executes the computer program or instructions in the memory, the device performs any of the first aspect to the second aspect, and any of the implementation forms of any of the aspects.

[0031] Optionally, the processor is one or more, and the memory is one or more.

[0032] Optionally, the memory can be integrated with the processor, or the memory is disposed separately from the processor.

[0033] Optionally, the transceiver can include a transmitter (transmitter) and a receiver (receiver).

[0034] In a fifth aspect, an apparatus is provided, including a processor. The apparatus can be the first apparatus or the second apparatus. The processor can be configured to perform any of the first aspect to the second aspect, and any of the implementation forms of any of the aspects. The apparatus can be the first apparatus or the second apparatus. Optionally, the apparatus further includes a memory. Optionally, the apparatus further includes a communication interface, and the processor is coupled to the communication interface.

[0035] In an implementation form, when the apparatus is the first apparatus or the second apparatus, the communication interface can be a transceiver, or an input / output interface. Optionally, the transceiver can be a transceiver circuit. Optionally, the input / output interface can be an input / output circuit.

[0036] In yet another implementation form, when the apparatus is a chip or a chip system of the first apparatus, or a chip or a chip system of the second apparatus, the communication interface can be an input / output interface, an interface circuit, an output circuit, an input circuit, a pin, or related circuitry, etc. on the chip or the chip system. The processor can also be embodied as a processing circuit or a logic circuit.

[0037] In a sixth aspect, a system is provided, including the first apparatus and the second apparatus.

[0038] In a seventh aspect, a computer program product is provided, including a computer program (also referred to as code or instructions), which, when executed by a computer, causes the computer to perform any of the first aspect to the second aspect, and any of the implementation forms of any of the aspects.

[0039] In an eighth aspect, a computer-readable storage medium is provided, which stores a computer program (also referred to as code or instructions), which, when executed on a computer, causes the computer to perform any of the first aspect to the second aspect, and any of the implementation forms of any of the aspects.

[0040] In a ninth aspect, a chip system is provided, which can include a processor. The processor is coupled with a memory, and is configured to execute any one of the first aspect to the second aspect, and any one of the implementation forms of any one of the aspects. Optionally, the chip system further includes the memory. The memory is configured to store a computer program (which can also be referred to as code or instructions). The processor is configured to call and run the computer program from the memory, so that a device in which the chip system is installed executes any one of the first aspect to the second aspect, and any one of the implementation forms of any one of the aspects.

[0041] In a tenth aspect, a processing device is provided, which includes an interface circuit and a processing circuit. The interface circuit can include an input circuit and an output circuit. The processing circuit is configured to receive a signal through the input circuit, and transmit a signal through the output circuit, so that any one of the first aspect to the second aspect, and any one of the implementation forms of any one of the aspects is implemented.

[0042] In a specific implementation process, the processing device described above can be a chip, the input circuit can be an input pin, the output circuit can be an output pin, and the processing circuit can be a transistor, a gate circuit, a flip-flop, and various logic circuits, etc. The input signal received by the input circuit can be received and input by, for example but not limited to, a receiver, the signal output by the output circuit can be output to and transmitted by, for example but not limited to, a transmitter, and the input circuit and the output circuit can be the same circuit, which is used as the input circuit and the output circuit at different times. The specific implementation of the processor and various circuits is not limited in the present application.

[0043] In another implementation form, the device can be part of a first device or a second device, such as a system chip or a communication chip, etc. The interface circuit can be an input / output interface, an interface circuit, an output circuit, an input circuit, a pin, or a related circuit on the chip or the chip system. The processing circuit can be a logic circuit on the chip. BRIEF DESCRIPTION OF DRAWINGS

[0044] Figure 1 A system architecture schematic diagram of a possible network performance anomaly analysis method;

[0045] Figure 2a A system architecture schematic diagram provided by an embodiment of the present application;

[0046] Figure 2b Another system architecture schematic diagram provided by an embodiment of the present application;

[0047] Figure 3 An interaction flow schematic diagram of a network anomaly analysis method provided by the present application;

[0048] Figure 4aA schematic diagram of a relationship between a KPI anomaly intelligent analysis function management object 1 and a KPI anomaly intelligent analysis capability object;

[0049] Figure 4b A schematic diagram of creating a KPI anomaly intelligent analysis capability object 2 based on Figure 4a ;

[0050] Figure 4c A schematic diagram of a possible system architecture provided by an embodiment of the present application;

[0051] Figure 5 A schematic diagram of another network performance anomaly analysis method provided by an embodiment of the present application; Figure 3 ;

[0052] Figure 6 A schematic diagram of a structure of an apparatus provided by an embodiment of the present application;

[0053] Figure 7 A schematic diagram of another apparatus provided by an embodiment of the present application;

[0054] Figure 8 A schematic diagram of another apparatus provided by an embodiment of the present application. DETAILED DESCRIPTION

[0055] The embodiments of the present application will be described in detail below with reference to the accompanying drawings.

[0056] The embodiments of the present application can be applied to various mobile communication systems, for example, a new radio (NR) system, a long term evolution (LTE) system, an advanced long term evolution (LTE-A) system, a future communication system, and other communication systems, without limitation.

[0057] Figure 1 A schematic diagram of a system architecture of a possible network performance anomaly analysis method is exemplarily shown, as shown in Figure 1 , which includes a cross domain management function unit (Cross Domain MnF) and a domain management function unit (Domain MnF). The domain management function unit (Domain MnF) can analyze network performance and report a network performance anomaly analysis result.

[0058] However, there are hundreds or even thousands of network performance parameters in the network, and the network performance parameters are generated at a minute level. The domain management function unit (D-MnF) needs to perform abnormal analysis on all network performance parameters, which requires huge computing and analysis capacity. On the other hand, network performance parameters concerned by the operation and maintenance personnel are different, and the domain management function unit (D-MnF) in the prior art reports all analyzed network performance parameters. In this way, the operation and maintenance personnel also need to check several network performance parameters required by the operation and maintenance personnel from a large number of obtained network performance parameters. It can be seen that the network performance abnormal analysis method with a single target leads to an excessive load of the domain management function unit (D-MnF) on the one hand, and cannot meet different demands from the operation and maintenance personnel on the other hand.

[0059] Based on the above problems, Figure 2a An exemplary system architecture diagram provided by an embodiment of the present application is shown in the figure. Figure 2a As shown in the figure, the system architecture includes a first device and a second device. In the embodiment of the present application, a position where the first device and the second device are connected can be referred to as an interface, and the first device can provide a network performance abnormal analysis service for the second device through the interface. The second device sends a network performance abnormal analysis request to the first device. The first device receives the network performance abnormal analysis request, and the network performance abnormal analysis request includes demand information indicating a demand met by network performance abnormal analysis to be performed. The demand information includes information of a network performance parameter. The first device analyzes the network performance parameter according to the demand information, and obtains a network performance abnormal analysis result. The first device sends a network performance abnormal analysis response to the second device, and the network performance abnormal analysis response includes the network performance abnormal analysis result.

[0060] It can be seen that in the embodiment of the present application, the first device can receive demand information and perform network performance abnormal analysis according to the demand information. Therefore, the operation and maintenance personnel can propose various demand information based on actual demands, so that the network abnormal analysis result can be more consistent with the actual demands of the operation and maintenance personnel.

[0061] Figure 2b Another exemplary system architecture diagram provided by an embodiment of the present application is shown in the figure. The system architecture provided by the embodiment of the present application can also be referred to as a network management system, a management architecture, a network architecture, and the like. Figure 2b As shown in the figure, the system architecture includes a business operation unit, a cross-domain management function unit (CD-MnF), a domain management function unit (D-MnF), and a network element (NE).

[0062] The business operation unit is configured to manage one or more cross-domain management function units. The cross-domain management function unit is configured to manage one or more domain management function units. The domain management function unit is configured to manage one or more network elements. The following briefly introduces each unit.

[0063] (1) Business operation unit

[0064] The business operation unit can also be referred to as a business support system (BSS) or a communication service management function (CSMF). The business operation unit can be configured to provide functions and management services such as charging, settlement, accounting, customer service, business, network monitoring, communication service lifecycle management, service intent translation, etc. The business operation unit can include an operator's operation system or a vertical industry operation system (vertical operational technology system).

[0065] (2) Cross-domain management function unit

[0066] The cross-domain management function unit can also be referred to as a network management function (NMF). The cross-domain management function unit can provide one or more of the following functions or management services: network lifecycle management, network deployment, network fault management, network performance management, network configuration management, network assurance, network optimization function, translation of communication service provider's network intent (intent from communication service provider, intent-CSP), translation of communication service consumer's network intent (intent from communication service consumer, intent-CSC), etc. The network here can include one or more network elements, sub-networks, or network slices. For example, the cross-domain management function unit can be a network slice management function (NSMF), or a management data analytic function (MDAF), or a cross-domain self-organization network function (SON-function), or a cross-domain intent management function unit.

[0067] It should be noted that in some deployment scenarios, the cross-domain management function unit can also provide one or more of the following management functions or management services: lifecycle management of a subnetwork, deployment of a subnetwork, fault management of a subnetwork, performance management of a subnetwork, configuration management of a subnetwork, assurance of a subnetwork, optimization function of a subnetwork, subnetwork intent translation function, etc. The subnetwork can be composed of multiple small subnetworks or multiple network slice subnetworks, for example, an access network subnetwork of an operator includes an access network subnetwork of a device vendor 1 and an access network subnetwork of a device vendor 2.

[0068] (3) Domain management function unit.

[0069] The domain management function unit, also known as a subnetwork management function (NMF) or a network element / function management function, provides one or more of the following functions or management services: lifecycle management of a subnetwork or a network element, deployment of a subnetwork or a network element, fault management of a subnetwork or a network element, performance management of a subnetwork or a network element, assurance of a subnetwork or a network element, optimization management of a subnetwork or a network element, and intent translation of a subnetwork or a network element. The subnetwork here includes one or more network elements. Alternatively, the subnetwork here can include one or more subnetworks, i.e., one or more subnetworks form a larger coverage subnetwork. Alternatively, the subnetwork here can include one or more network slice subnetworks. The subnetwork can be described in at least one of the following ways:

[0070] A network of a certain technical domain, such as a radio access network, a core network, a transport network, etc.

[0071] A network of a certain standard, such as a GSM network, an LTE network, a 5G network, etc.

[0072] A network provided by a certain device vendor, such as a network provided by device vendor X, etc.

[0073] A network of a certain geographic area, such as a network of factory A, a network of city B, etc.

[0074] Figure 2b For example, a network of a certain technical domain is taken as an example for demonstration, such as Figure 2a For example, a radio access network domain management function unit, a core network domain management function unit, and a transport network domain management function unit are taken as examples to demonstrate various domain management function units.

[0075] (4) Network element.

[0076] A network element is an entity providing network services, including a core network element, a radio access network element, a transport network element, and the like. As shown in Figure 2b The radio access network domain management function unit can be used to manage the radio access network element, the core network element domain management function unit can be used to manage the core network element, and the transport network domain management function unit can be used to manage the transport network element.

[0077] For example, the core network element can include, but is not limited to, an access and mobility management function (AMF) entity, a session management function (SMF) entity, a policy control function (PCF) entity, a network data analysis function (NWDAF) entity, a network repository function (NRF), a gateway, and the like.

[0078] The radio access network element can include, but is not limited to, various types of base stations (such as a next generation base station (gNB), an evolved Node B (eNB), a central unit control panel (CUCP), a central unit (CU), a distributed unit (DU), a central unit user panel (CUUP), and the like. In this application, the network function NF is also referred to as the network element NE.

[0079] In addition, under the service management architecture, the management service producer (MnS producer) and the management service consumer (MnS consumer) can be deployed in various manners, for example, when the management service is provided by the business operation unit, the business operation unit is the management service producer, and other business operation units (for example, the cross-domain management function unit, the domain management function unit, or the network element) can be the management service consumer; when the management service is provided by the cross-domain management function unit, the cross-domain management function unit is the management service producer, and other business operation units (for example, the business operation unit, the domain management function unit, or the network element) can be the management service consumer; when the management service is provided by the domain management function unit, the domain management function unit is the management service producer, and other business operation units (for example, the cross-domain management function unit, the business operation unit, or the network element) can be the management service consumer; and when the management service is provided by the network element, the network element is the management service producer, and other business operation units (for example, the domain management function unit, the cross-domain management function unit, or the business operation unit) can be the management service consumer.

[0080] The network performance anomaly analysis method provided by the embodiments of the present application can be applied to Figure 2b the system architecture shown in FIG. 1. Figure 2a The first device and the second device in Figure 2b the system architecture can be deployed in Figure 2b the system architecture, when the network performance anomaly analysis method is applied to Figure 2a the system architecture shown in FIG. 1, Figure 2b the first device and the second device in may have different settings in

[0081] , for example:

[0082] A. The second device is a business operation unit; the first device can be a cross-domain management function unit, or a domain management function unit, or a network element. The second device can be a business operation unit, or a logical unit in the business operation unit (for example, a chip in the business operation unit), and the first device can be a cross-domain management function unit or a logical function in the cross-domain management function unit, or a domain management function unit or a logical function in the domain management function unit, or an independent network element or a logical function in the network element.

[0083] B、the second device is a cross-domain management function unit; the first device can be a domain management function unit, or a network element. The second device can be a cross-domain management function unit or one logical unit in the cross-domain management function unit; the first device can be a domain management function unit or one logical function in the domain management function unit; or the first device is an independent network element or one logical function in the network element.

[0084] C、the second device is a domain management function unit; the first device can be a network element. The second device can be a domain management function unit or one logical unit in the domain management function unit; the first device can be an independent network element or one logical function in the network element.

[0085] It can be understood that, Figure 2b The three-level management device above the network element is taken as an example for introduction, and in actual application, more or fewer levels of management devices can be included in the network architecture, and the technical solutions provided in the application are also applicable to these network structures.

[0086] II. There can also be no upper and lower level restrictions between the second device and the first device, for example, the second device is a focused management service provider, and the first device is a management service consumer. The focused management service provider and the management service consumer are described above. Specifically, the following cases are included:

[0087] A. When the second device is a business operation unit, the first device is other units except the business operation unit, such as a cross-domain management function unit, a domain management function unit, a network element, etc.

[0088] B. When the second device is a cross-domain management function unit, the first device can be other units except the cross-domain management function unit, such as a business operation unit, a domain management function unit, a network element, etc.

[0089] C. When the second device is a domain management function unit, the first device can be other units except the domain management function unit, such as a business operation unit, a cross-domain management function unit, a network element, etc.

[0090] D. When the second device is a network element, the first device is other units except the network element, such as a business operation unit, a cross-domain management function unit, a domain management function unit, etc.

[0091] Please refer to Figure 3 Fig. 1 shows an interactive flowchart of the network exception analysis method provided in the application, as shown in Figure 3 Fig. 1, the flowchart can be implemented by the above-mentioned Figure 2aThe first device and the second device in the method are executed. It should be noted that the first device and the second device in the embodiments of the present application can also have other names, for example, the second device can be referred to as a control device, a control module, a network performance anomaly analysis control module, a KPI anomaly analysis control module, a KPI anomaly intelligent analysis control module, etc. The first device can be referred to as an execution device, an execution module, a network performance anomaly analysis execution module, a KPI anomaly analysis execution module, a KPI anomaly intelligent analysis execution module, etc. The name of the first device and the second device is not limited in the embodiments of the present application.

[0092] As shown in Figure 3 , the flow includes:

[0093] S301, the second device sends network performance anomaly analysis requirement information to the first device. The network performance anomaly analysis requirement information includes information of network performance parameters. The information of network performance parameters includes at least one of an identifier of the network performance parameters or category information of the network performance parameters. The network performance anomaly analysis requirement information indicates a requirement met by analyzing the network performance parameters.

[0094] Correspondingly, the first device receives the network performance anomaly analysis requirement information from the second device.

[0095] S302, the first device analyzes the network performance parameters according to the network performance anomaly analysis requirement information, and obtains a network performance anomaly analysis result.

[0096] S303, the first device sends the network performance anomaly analysis result.

[0097] In S303, the first device can return the network performance anomaly analysis result to the second device. In this case, the second device can receive the network performance anomaly analysis result from the first device. In another possible implementation, the second device can specify another device (such as a third device) as a device receiving the network performance anomaly analysis result, in which case the first device can send the network performance anomaly analysis result to the third device. In the embodiments of the present application, the first device sending the network performance anomaly analysis result to the second device is taken as an example for illustration.

[0098] In the embodiments of the present application, the first device can analyze the network performance parameters and output the network performance anomaly analysis result. In this way, the operation and maintenance personnel can not need to monitor a large amount of information in real time, thereby saving manpower.

[0099] In another aspect, in actual applications, there are hundreds or even thousands of network performance parameters in a network, and these network performance parameters can be generated at a minute level. If all network performance parameters are analyzed for abnormality, a huge amount of computing and analysis capacity is required. Moreover, different operation and maintenance personnel can focus on different network performance parameters, and even the same operation and maintenance personnel can focus on different network performance parameters in different network performance abnormality analysis tasks. Since the first device can analyze network performance parameters according to network performance abnormality analysis requirement information, more diverse network performance abnormality analysis services can be provided. For example, an operation and maintenance personnel can submit network performance abnormality analysis requirement information based on actual requirements, so that the network abnormality analysis result is more consistent with the actual requirements of the operation and maintenance personnel, thereby better meeting the requirements of the operation and maintenance personnel, and reducing the load of network abnormality analysis.

[0100] The network performance abnormality analysis requirement information in the embodiments of the present application can include multiple parameters, such as at least one of the following parameters a1, parameter a2, parameter a3, parameter a4, parameter a5, or parameter a6.

[0101] Parameter a1, information of a network performance parameter.

[0102] The first device in the embodiments of the present application is used to analyze abnormal conditions of network performance parameters. The network performance parameters in the embodiments of the present application can include network performance measurement parameters, network performance key indicators, network performance quality indicators, key quality indicators (KQI), service level agreements (SLA), etc. In the embodiments of the present application, the network performance parameters can be referred to as KPIs.

[0103] The network performance parameter indicated by the information of the network performance parameter in the network performance abnormality analysis requirement information is the network performance parameter that the first device needs to analyze for abnormality. The network performance parameter indicated by the information of the network performance parameter can be one or multiple. The information of the network performance parameter can include at least one of an identifier of the network performance parameter or category information of the network performance parameter.

[0104] The identifier of the network performance parameter can be information such as a name of the network performance parameter, such as at least one of a physical resource block (PRB) usage rate, a throughput rate, a delay, or a radio resource control (RRC) establishment success rate.

[0105] The category information of the network performance parameter can be, for example, coverage, capacity, rate, handover, and the like. The category information of one network performance parameter can indicate one or more network performance parameters. For example, when the category information of the network performance parameter is coverage, the information of the network performance parameter indicates one or more network performance parameters in the coverage category. For example, the network performance parameters in the coverage category can include, for example, reference signal receiving power (RSRP), signal to interference-plus-noise ratio (SINR), and the like. For another example, when the category information of the network performance parameter is rate, the information of the network performance parameter indicates one or more network performance parameters in the rate category. For example, the network performance parameters in the rate category can include, for example, uplink average rate, downlink average rate, and the like. For another example, when the category information of the network performance parameter is capacity, the information of the network performance parameter indicates one or more network performance parameters in the capacity category. For example, the network performance parameters in the capacity category can include, for example, physical resource block (PRB) usage, and the like. In this way, the operation and maintenance personnel can specify one or more network performance parameters by specifying the category information of the network performance parameter, thereby saving workload.

[0106] Since the network performance anomaly analysis requirement information includes information of the network performance parameter, the first device can perform network anomaly analysis only on the network performance parameter indicated by the network performance anomaly analysis requirement information, compared with the scheme of performing analysis on all network performance parameters, the scheme can save network analysis load.

[0107] The parameter a2, the abnormal threshold corresponding to the network performance parameter, and the type information of the abnormal threshold.

[0108] The abnormal threshold can be referred to as an initial threshold, which can be referred to as KPI initial threshold. The type information of the abnormal threshold includes static threshold type information or dynamic threshold type information.

[0109] The static threshold type information indicates whether the network performance parameter is abnormal according to the abnormal threshold. In a case where the network performance abnormality analysis requirement information includes the threshold type information of the abnormal threshold, the first device can determine whether the network performance parameter is abnormal according to the abnormal threshold in the S302.

[0110] The dynamic threshold type information indicates that the abnormal threshold update value is determined, and whether the network performance parameter is abnormal is determined according to the abnormal threshold update value. In a case where the network performance abnormality analysis requirement information includes the threshold type information of the abnormal threshold, the first device can determine the abnormal threshold update value, and determine whether the network performance parameter is abnormal according to the abnormal threshold update value in the S302. For example, the first device can update the abnormal threshold according to the average value of the network performance parameter in a period of time. For example, the network performance parameter is the RRC establishment success rate, and the abnormal threshold of the network performance parameter is 80%. The first device determines that the average value of the RRC establishment success rate of 10 cells is 85%. The first device updates the abnormal threshold from 80% to 85%. Then, if the first device determines that the RRC establishment success rate is less than 85%, it is determined that the RRC establishment success rate is abnormal. If the first device determines that the RRC establishment success rate is not less than 85%, it is determined that the RRC establishment success rate is not abnormal. It can be seen that the scheme can dynamically adjust the abnormal threshold according to the actual situation, and in actual application, the network performance parameter dynamically changes in a large range, and if the dynamic threshold type is used, a network abnormality analysis result that is more consistent with the actual application scenario can be obtained.

[0111] Because the network performance abnormality analysis requirement information includes the abnormal threshold and the threshold type information of the abnormal threshold, the operation and maintenance personnel can determine the type of the abnormal threshold of the network performance parameter according to the actual requirement, so that the first device can provide more diversified services that meet the requirements of the operation and maintenance personnel.

[0112] The parameter a3 is the object information of the network performance abnormality analysis.

[0113] The object information of the network performance abnormality analysis can also be understood as the range of the network performance abnormality analysis performed by the first device.

[0114] The object information of the network performance abnormality analysis includes at least one of the following contents: the information of the geographic area, or the network device information.

[0115] For example, the geographic area information can be a description of an administrative region or a latitude and longitude description, so that the first device can analyze the network performance parameters in the geographic area. For another example, the network device information can be an identifier or name of one or more network elements, such as a network element list that includes at least one identifier or name of a network element, so that the first device can analyze the network performance parameters of the network elements in S302.

[0116] Since the network performance anomaly analysis requirement information includes object information of the network performance anomaly analysis, the first device can only analyze the area or network element indicated by the object information of the network performance anomaly analysis, which can save the network analysis load.

[0117] The parameter a4 is a network performance anomaly analysis type.

[0118] The network performance anomaly analysis type includes at least one of network performance anomaly detection analysis, network performance anomaly root cause analysis, or network performance anomaly repair suggestion analysis.

[0119] When the network performance anomaly analysis requirement information includes network performance anomaly detection analysis, the first device needs to analyze the network performance parameters in S302 to identify abnormal network performance parameters. The network performance anomaly analysis result can include the identified abnormal network performance parameters.

[0120] When the network performance anomaly analysis requirement information includes network performance anomaly root cause analysis, the first device needs to perform root cause analysis on the abnormal network performance parameters in S302 to obtain the root cause of the abnormal network performance parameters. The root cause of the abnormal network performance parameters can include, for example, a parameter configuration problem, a software problem, a device problem, an interference problem, an increase in the number of users or an increase in traffic demand, etc. The root cause of the abnormal network performance parameters can be reported in the network performance anomaly analysis result or can be reported separately. There is no requirement for the reporting time of the root cause of the abnormal network performance parameters and the network performance anomaly analysis result. The root cause of the abnormal network performance parameters can be reported before or after the network performance anomaly analysis result is reported.

[0121] When the network performance anomaly analysis requirement information includes network performance anomaly repair suggestion analysis, the first device needs to analyze the abnormality of the network performance parameter in S302, and give the repair suggestion for the network performance parameter abnormality. The repair suggestion for the network performance parameter abnormality can also be understood as the KPI abnormality closed-loop suggestion of the network performance parameter. The network performance anomaly analysis result can include the repair suggestion for the network performance parameter abnormality. The repair suggestion for the network performance parameter abnormality can be carried in the network performance anomaly analysis result for reporting, or can be reported separately. The reporting time of the repair suggestion for the network performance parameter abnormality and the network performance anomaly analysis result has no priority requirement. The repair suggestion for the network performance parameter abnormality can be reported before the network performance anomaly analysis result is reported, or can be reported after the network performance anomaly analysis result is reported.

[0122] Since the network performance anomaly analysis requirement information includes the network performance anomaly analysis type, the first device can provide diversified services for the operation and maintenance personnel, such as providing the operation and maintenance personnel with network performance anomaly analysis results that are more in line with their actual needs.

[0123] When the network performance anomaly analysis requirement information includes network performance anomaly root cause analysis, the network performance anomaly analysis requirement information can also include: parameter a4-1: the first trigger condition for root cause analysis of the abnormality of the network performance parameter.

[0124] In S302, the first device can perform root cause analysis on the abnormality of the network performance parameter when the abnormality of the network performance parameter meets the first trigger condition, and obtain the root cause analysis result. The network performance anomaly analysis result includes the root cause analysis result.

[0125] For example, the first trigger condition includes: a cell number threshold of the RRC establishment success rate abnormality. When the first device determines that the number of cells with RRC establishment success rate abnormality reaches the abnormal cell number threshold, the root cause analysis is performed to obtain the root cause analysis result.

[0126] For another example, the first trigger condition includes: a threshold of the number of times of RRC establishment success rate abnormality. When the first device determines that the number of times of RRC establishment success rate abnormality reaches the threshold, the root cause analysis is performed to obtain the root cause analysis result.

[0127] Since the network performance anomaly analysis requirement information includes the first trigger condition, the first device can not have to perform root cause analysis on all abnormalities of the network performance parameter, thereby reducing the network load.

[0128] When the network performance anomaly analysis requirement information includes the case of analyzing network performance anomaly repair suggestions, the network performance anomaly analysis requirement information can further include: parameter a4-2: a second trigger condition for providing repair suggestions for network performance parameter anomalies.

[0129] In the case where the first device determines the repair suggestions according to the network performance parameter anomaly situation in the case where the network performance parameter anomaly situation satisfies the second trigger condition in the above S302, the network performance anomaly analysis result includes the repair suggestions.

[0130] For example, the second trigger condition includes a cell quantity threshold of a cell in which the RRC establishment success rate is abnormal. In the case where the first device determines that the number of cells in which the RRC establishment success rate is abnormal reaches the abnormal cell quantity threshold, the first device determines the repair suggestions according to the network performance parameter anomaly situation. The network performance anomaly analysis result includes the repair suggestions.

[0131] For another example, the second trigger condition includes a threshold of the number of times of network performance parameter anomalies. In the case where the first device determines that the number of times of network performance parameter anomalies reaches the threshold, the first device determines the repair suggestions according to the network performance parameter anomaly situation. The network performance anomaly analysis result includes the repair suggestions.

[0132] Since the network performance anomaly analysis requirement information includes the second trigger condition, the first device can not need to provide repair suggestions for all network performance parameter anomalies, thereby reducing the network load.

[0133] Parameter a5: network performance anomaly analysis statistical information.

[0134] The network performance anomaly analysis statistical information indicates the content that the first device needs to count and report.

[0135] The network performance anomaly analysis statistical information includes at least one of the following:

[0136] The number of cells in which the network performance parameter is abnormal,

[0137] The number of grids in which the network performance parameter is abnormal,

[0138] The number of network elements in which the network performance parameter is abnormal, or

[0139] The number of times of network performance parameter anomalies.

[0140] The network performance anomaly analysis statistical information can also indicate the content included in the network performance anomaly analysis result. For example, when the network performance anomaly analysis statistical information includes the number of cells in which the network performance parameter is abnormal, the first device counts the number of cells in which the network performance parameter is abnormal in S302. The number of cells in which the network performance parameter is abnormal is included in the network performance anomaly analysis result.

[0141] Since the network performance anomaly analysis requirement information includes the network performance anomaly analysis statistical information, the first device can provide a variety of services for the operation and maintenance personnel, such as providing the operation and maintenance personnel with a network performance anomaly analysis result that is more in line with the actual needs of the operation and maintenance personnel.

[0142] The parameter a6 is the reporting information of the network performance anomaly analysis result.

[0143] The reporting information of the network performance anomaly analysis result can include at least one of the following contents:

[0144] The reporting period indicates how long the first device reports the network performance anomaly analysis result once in S303.

[0145] The destination address of the reporting indicates the address of the receiving device of the network performance anomaly analysis result in S303. Or the reporting manner indicates the form of reporting the network performance anomaly analysis result by the first device in S303, such as stream reporting or file reporting.

[0146] Since the network performance anomaly analysis requirement information includes the reporting information, the manner in which the first device reports the network performance anomaly analysis result can be more in line with the actual needs of the operation and maintenance personnel.

[0147] Before S301, the first device can send a first message to the second device, and the first message includes capability information. The capability information indicates the supported network performance anomaly analysis capability information. The first message can also be referred to as supportedKPI anomaly analysis type request. The network performance anomaly analysis requirement information is set according to the capability information. The network performance anomaly analysis requirement information can include part or all of the capability information, and the network performance anomaly analysis requirement information can also include information other than the capability information, such as the capability information can not include the abnormal threshold, and the network performance anomaly analysis requirement information can include the abnormal threshold of the network performance parameter.

[0148] In another possible implementation, the second device can send a query request to the first device before the first device sends the first message to the second device, where the query request is used to query the capability information of the network performance anomaly analysis supported by the first device. The first message can be understood as a response message of the query request.

[0149] In another possible implementation, the first device can not send the first message to the second device, for example, the capability information of the first device can be pre-configured in the second device, or the capability information of the network performance anomaly analysis of the first device is sent to the second device by another device. Alternatively, the second device can set the network performance anomaly analysis requirement information according to its own requirement (without combining the capability information of the first device), for example, the network performance anomaly analysis requirement information is set according to the requirement information of the operation and maintenance personnel, and subsequently the first device can perform the network performance anomaly analysis based on the capability information of the first device and the network performance anomaly analysis requirement information.

[0150] In a possible implementation, a designer can design an application for performing network anomaly analysis (which can be referred to as a Key Performance Indicators (KPI) Anomaly Application (APP)). The application can be installed on a module or device performing network anomaly analysis, and the application can be updated. The module or device installed with the application can be understood as the first device in the embodiments of the present application, and the first device performs the network performance anomaly analysis by running the program corresponding to the application. Figure 3 The related scheme performed by the first device.

[0151] In the embodiments of the present application, the first device can determine the capability information of the first device according to the application for performing network anomaly analysis. In a possible implementation, the first device can create a KPI anomaly intelligent analysis function management object (which can be referred to as KPI anomaly function). Further, the first device can create one or more KPI anomaly intelligent analysis capability objects (which can be referred to as KPI Anomaly Capability) under the KPI anomaly intelligent analysis function management object. The capability information of the first device can include information in the KPI anomaly intelligent analysis function management object or information in at least one of the KPI anomaly intelligent analysis capability objects.

[0152] Figure 4a An exemplary schematic diagram showing the relationship between the KPI anomaly intelligent analysis function management object 1 and the KPI anomaly intelligent analysis capability object is shown. As shown in the figure, the KPI anomaly intelligent analysis capability object 1 is a child object of the KPI anomaly intelligent analysis function management object. Figure 4a

[0153] ​The parameters included in the KPI anomaly intelligent analysis function management object can be one or more. Table 1 exemplarily shows one example of the parameters that can be included in the KPI anomaly intelligent analysis function management object. The KPI anomaly intelligent analysis function management object can include part or all of the parameters shown in Table 1.

[0154] Table 1 Parameters that can be included in the KPI anomaly intelligent analysis function management object

[0155]

[0156] In Table 1, is readable is used to describe whether the parameter is open to the caller to read the corresponding value through the corresponding management interface, that is, whether the caller can obtain the parameter in the management object. Wherein, is readable is T, indicating that the parameter is open to the caller to read the corresponding value through the corresponding management interface, that is, the caller can obtain the parameter in the management object. Wherein, is readable is F, indicating that the parameter is not open to the caller to read the corresponding value through the corresponding management interface, that is, the caller cannot obtain the parameter in the management object.

[0157] In Table 1, is writable is used to describe whether the parameter is open to the caller to configure the corresponding value through the corresponding management interface, that is, whether the caller can configure the parameter in the management object. Wherein, is writable is T, indicating that the parameter is open to the caller to configure the corresponding value through the corresponding management interface, that is, the caller can configure the parameter in the management object. Wherein, is writable is F, indicating that the parameter is not open to the caller to configure the corresponding value through the corresponding management interface, that is, the caller cannot configure the parameter in the management object.

[0158] The value of the KPI anomaly management function (MnF) type in Table 1 can be a value indicating network performance anomaly analysis.

[0159] The KPI anomaly management function identifier (MnF id) in Table 1 can be used to uniquely identify a KPI anomaly intelligent analysis function instance.

[0160] The KPI anomaly management function version information (version) in Table 1 can be used to describe the version of the network performance anomaly analysis function.

[0161] The KPI anomaly management function ANL in Table 1 can be one of the following contents:

[0162] Autonomous Network level 2: indicates that the first device can identify or detect an abnormality in a network performance parameter;

[0163] Autonomous Network level 3: indicates that the first device can delimit and root cause analyze the abnormality in the network performance parameter; or

[0164] Autonomous Network level 4: indicates that the first device can give a closed-loop repair suggestion for the abnormality in the network performance parameter.

[0165] The parameter included in the KPI abnormality intelligent analysis capability object 1 can be one or more, and one example of the parameter that can be included in the KPI abnormality intelligent analysis capability object 1 is exemplarily shown in Table 2. The KPI abnormality intelligent analysis capability object 1 can include part or all of the parameters shown in Table 2. The parameters listed in Table 2 can be the capability information of the network performance abnormality analysis supported by the first device in the KPI abnormality intelligent analysis capability object 1.

[0166] Table 2: Parameters that can be included in the KPI abnormality intelligent analysis capability object 1

[0167]

[0168] Whether is readable and is writable in Table 2 can refer to the related description in Table 1.

[0169] Parameter b1: supported KPI information of the network performance parameter supported by the first device.

[0170] The supported KPI information of the network performance parameter supported by the first device can include at least one of an identification of the network performance parameter or category information of the network performance parameter. The related content can refer to the related description of the aforementioned parameter a1, which will not be repeated here.

[0171] Since the capability information includes the information of the network performance parameter, the second device can select the network performance parameter that meets the demand of the operation and maintenance personnel from the capability information, and carry the network performance parameter in the network performance abnormality analysis demand information, so that the network performance abnormality analysis demand information can be matched with both the capability information of the first device and the actual demand of the operation and maintenance personnel, and the scheme can save the network analysis load.

[0172] Parameter b2: supported KPI threshold types of the abnormal threshold supported by the first device.

[0173] The type information of the abnormal threshold includes static threshold type information or dynamic threshold type information.

[0174] The static threshold type information indicates whether the network performance parameter is abnormal according to the abnormal threshold. The dynamic threshold type information indicates that an abnormal threshold update value is determined, and whether the network performance parameter is abnormal is determined according to the abnormal threshold update value. For related content, please refer to the foregoing description of the parameter b2, which will not be repeated here.

[0175] Since the capability information includes the abnormal threshold and the type information of the abnormal threshold, the operation and maintenance personnel can select the type of the abnormal threshold that is more in line with their own needs in combination with the capability information, so that the first device can provide more diverse services that meet the needs of the operation and maintenance personnel.

[0176] Parameter b3, object information of network performance anomaly analysis supported by the first device (also referred to as supported controlled scopes).

[0177] The object information of network performance anomaly analysis supported by the first device can also be understood as the range in which the first device can perform network performance anomaly analysis. The object information of network performance anomaly analysis includes at least one of the following: information of a geographic area, or network device information. For related content, please refer to the foregoing description of the parameter a3, which will not be repeated here.

[0178] Since the capability information includes the object information of network performance anomaly analysis, the operation and maintenance personnel can select the object information of network performance anomaly analysis that is more in line with their own needs in combination with the capability information, so that the first device can only analyze the area or network element indicated by the object information of network performance anomaly analysis, which can save the network analysis load.

[0179] Parameter b4, network performance anomaly analysis type (supported KPI anomaly analysis types) supported by the first device.

[0180] The network performance anomaly analysis type includes at least one of network performance anomaly detection analysis, network performance anomaly root cause analysis, or network performance anomaly repair suggestion analysis. For related content, please refer to the foregoing description of the parameter a4, which will not be repeated here.

[0181] Since the capability information includes the network performance anomaly analysis type, the first device can provide diverse services for the operation and maintenance personnel, such as providing network performance anomaly analysis results that are more in line with their actual needs.

[0182] The parameter b5 is network performance anomaly analysis statistic information supported by the first device (may also be referred to as supported KPI anomaly analysis statistic results).

[0183] The network performance anomaly analysis statistic information supported by the first device indicates the content that can be counted and reported by the first device.

[0184] The network performance anomaly analysis statistic information includes at least one of the following:

[0185] The number of cells in which the network performance parameter is abnormal,

[0186] The number of grids in which the network performance parameter is abnormal,

[0187] The number of network elements in which the network performance parameter is abnormal, or

[0188] The number of times of network performance parameter abnormality.

[0189] The related content can be referred to the related description of the aforementioned parameter a5, which will not be repeated here.

[0190] Since the capability information includes the network performance anomaly analysis statistic information, the first device can provide a variety of services for the operation and maintenance personnel, such as providing the operation and maintenance personnel with network performance anomaly analysis results that are more in line with their actual needs.

[0191] In the above S301, the network performance anomaly analysis requirement information is carried in the KPI requirement request, which can also be referred to as KPI information request, or KPI InfoReq. The KPI requirement request can also be referred to as KPI anomaly analysis control task management request, which can be used to request the first device to create a KPI anomaly analysis control task. In the above S302, the first device can create a KPI anomaly analysis control task, such as creating a KPI anomaly intelligent analysis capability object 2 according to the network performance anomaly analysis requirement information. Figure 4b An exemplary diagram showing the creation of the KPI anomaly intelligent analysis capability object 2 on the basis of Figure 4a is shown in FIG. 3B. Figure 4b As shown in FIG. 3B, the KPI anomaly intelligent analysis function management object can include a plurality of KPI anomaly intelligent analysis capability objects, and the KPI anomaly intelligent analysis capability object 1 and the KPI anomaly intelligent analysis capability object 2 are sub-objects of the KPI anomaly intelligent analysis function management object. The configuration parameters of the KPI anomaly intelligent analysis capability object 2 can be configured according to the network performance anomaly analysis requirement information.

[0192] In a possible implementation, the network performance anomaly analysis requirement information can further include identification information of the KPI anomaly intelligent analysis capability object 2, the identification information being used to indicate that the network performance anomaly analysis requirement information of the first device is for the KPI anomaly intelligent analysis capability object 2, and the configuration parameter of the KPI anomaly intelligent analysis capability object 2 can be determined according to the network performance anomaly analysis requirement information.

[0193] Table 3 exemplarily shows several possible configurations of the KPI anomaly intelligent analysis capability object 2. The parameters included in the KPI anomaly intelligent analysis capability object 2 can be one or more, and Table 3 exemplarily shows one example of the parameters that can be included in the KPI anomaly intelligent analysis capability object 2. The KPI anomaly intelligent analysis capability object 2 can include part or all of the parameters shown in Table 3.

[0194] The KPI anomaly intelligent analysis capability object 1 or the KPI anomaly intelligent analysis capability object 2 in the embodiments of the present application can also be referred to as a management object. The management object can be used to describe information of a managed object or a management task in a management system. The management object information model can be used as an interaction parameter in a management interface. For example, the configuration parameter shown in Table 3 below can be understood as a management object information model. Creating a management object can mean creating management information in a management system, so that the management system can manage the managed object or perform a management task according to the management information.

[0195] Table 3 exemplarily shows the configuration parameter of the KPI anomaly intelligent analysis capability object 2

[0196]

[0197] To further introduce the embodiments of the present application, Figure 4c a possible system architecture diagram provided by the embodiments of the present application is exemplarily shown, Figure 4c The first device in the method can be the first device described above Figure 2a The first device in the method, Figure 4c The second device in the method can be the second device described above Figure 2a The second device in the method. As Figure 4cAs shown, the second device can acquire network performance abnormality analysis requirement information. The network performance abnormality analysis requirement information is sent to the first device through an interface. The first device can log on to a network performance analysis capability, determine an abnormal threshold according to the network performance abnormality analysis requirement information, and further perform abnormality analysis on a network performance parameter in the network performance abnormality analysis requirement information. When it is confirmed that a value of the network performance parameter reaches a requirement of the abnormal threshold, it is determined that the network performance parameter is abnormal. Further, the first device can count a number of times of the abnormality of the network performance parameter. Further, the first device can perform root cause analysis on the abnormality of the network performance parameter, and can also provide a repair suggestion for the abnormality of the network performance. The first device can report the abnormality of the network performance, the root cause of the abnormality of the network performance parameter, and the repair suggestion to the second device through the interface, so that an operation and maintenance personnel can see the information through the second device.

[0198] In a possible implementation, the network performance abnormality analysis type in the network performance abnormality analysis requirement information can include network performance abnormality root cause analysis, and the network performance abnormality analysis requirement information can include a first trigger condition. In this case, in S302, when the first device determines that the first trigger condition is met, the first device can perform root cause analysis on the abnormality of the network performance parameter, and further report a result of the root cause analysis in the network performance abnormality analysis result or separately report the result.

[0199] Figure 5 On the basis of Figure 3 , another network performance abnormality analysis method is provided, and a flowchart of interaction is shown in Figure 5 .

[0200] In a possible implementation, the network performance abnormality analysis type in the network performance abnormality analysis requirement information can not include network performance abnormality root cause analysis, and the network performance abnormality analysis requirement information can not include a first trigger condition. In this case, in S302, the first device can not perform root cause analysis on the abnormality of the network performance parameter. The flowchart can include the following content after S303:

[0201] S501, the second device can determine to create a task of performing root cause analysis on the abnormality of the network performance parameter.

[0202] In this embodiment, the operation and maintenance personnel can further input a requirement of creating a task of root cause analysis on the network performance parameter abnormality in the second device according to actual requirements after viewing the network performance abnormality analysis result, and then the second device can determine that the task of root cause analysis on the network performance parameter abnormality needs to be created. In another possible embodiment, the second device can determine that the task of root cause analysis on the network performance parameter abnormality needs to be created according to the network performance abnormality analysis result and a preset third trigger condition, in a case where data in the network performance abnormality analysis result meets the third trigger condition.

[0203] S502, the second device sends a first request message for requesting root cause analysis on the network performance parameter abnormality to the first device.

[0204] In a possible embodiment, the first request message can further include identification information of the KPI abnormality intelligent analysis capability object 2, and the identification information is used to indicate that the first device should perform root cause analysis on the KPI abnormality intelligent analysis capability object 2, that is, the task of root cause analysis is the task of the KPI abnormality intelligent analysis capability object 2.

[0205] S503, the first device performs root cause analysis on the network performance parameter abnormality based on the first request message, and obtains a result of root cause analysis.

[0206] The result of root cause analysis can refer to the related content described above, and will not be described here.

[0207] S504, the first device sends the result of root cause analysis to the second device.

[0208] In a possible embodiment, the network performance abnormality analysis type in the network performance abnormality analysis requirement information can include network performance abnormality repair suggestion analysis, and the network performance abnormality analysis requirement information can include a second trigger condition. When the first device determines that the second trigger condition is met, the first device provides a repair suggestion for the network performance abnormality, and then carries the repair suggestion in the network performance abnormality analysis result for reporting or separately reports.

[0209] In another possible embodiment, the network performance abnormality analysis type in the network performance abnormality analysis requirement information can not include network performance abnormality repair suggestion analysis, and the network performance abnormality analysis requirement information can not include the second trigger condition. In this case, the first device can not perform repair suggestion analysis on the network performance abnormality in S302. The flow can include the following content after S303:

[0210] S505, the second device can determine that a task of network performance abnormality repair suggestion analysis needs to be created.

[0211] In this embodiment, the operation and maintenance personnel can further input a requirement of creating the analysis of repair suggestions for the network performance anomaly in the second device according to actual requirements after viewing the analysis result of the network performance anomaly, and then the second device can determine the task of creating the analysis of repair suggestions for the network performance anomaly. In another possible embodiment, the second device can determine, according to the analysis result of the network performance anomaly and a preset fourth trigger condition, that the data in the analysis result of the network performance anomaly meets the fourth trigger condition, and then determine that the analysis of repair suggestions for the network performance anomaly needs to be created.

[0212] S506, the second device sends a second request message for requesting the analysis of repair suggestions for the network performance anomaly to the first device.

[0213] In a possible embodiment, the second request message can further include identification information of the KPI anomaly intelligent analysis capability object 2, and the identification information is used to indicate that the first device should perform the repair suggestion analysis on the KPI anomaly intelligent analysis capability object 2, that is, the task of the repair suggestion analysis is the task of the KPI anomaly intelligent analysis capability object 2.

[0214] S507, the first device performs the repair suggestion analysis on the network performance anomaly based on the second request message, and obtains a repair suggestion.

[0215] The repair suggestion can include, for example, software restart, parameter reconfiguration, capacity expansion, and the like.

[0216] S508, the first device sends the repair suggestion to the second device.

[0217] It should be noted that the schemes of S501 to S504 and the schemes of S505 to S508 can exist in the same method flow or can not exist in the same method flow. For example, the network performance anomaly analysis type in the network performance anomaly analysis requirement information can include network performance anomaly root cause analysis, and the network performance anomaly analysis requirement information can include the first trigger condition. However, the network performance anomaly analysis type in the network performance anomaly analysis requirement information does not include the analysis of repair suggestions for the network performance anomaly, and the network performance anomaly analysis requirement information does not include the second trigger condition. In this case, in S302, when the first device determines that the first trigger condition is met, the first device can perform root cause analysis on the anomaly of the network performance parameter, and then report the result of the root cause analysis in the network performance anomaly analysis result or separately. S505-S508 can be executed after S303. There are many combination modes, which will not be listed one by one here.

[0218] Through the schemes of S501 to S504 and the schemes of S505 to S508, the operation and maintenance personnel can more strictly control the timing of the first device to perform root cause analysis and repair suggestion analysis, so that the network performance anomaly analysis can be more strictly controlled.

[0219] It can be understood that, in order to realize the functions in the above embodiments, the device includes the hardware structure and / or software module corresponding to each function. Those skilled in the art should easily realize that, in combination with the units and method steps of the examples described in the embodiments disclosed in the present application, the present application can be realized in the form of hardware or a combination of hardware and computer software. Whether a certain function is realized in the form of hardware or computer software driving hardware depends on the specific application scenario and design constraints of the technical solution.

[0220] Figure 6 、 Figure 7 and Figure 8 The structural schematic diagram of a possible device provided in the embodiments of the present application. The device can be used to realize the functions of the first device in the above method embodiments, and thus can also realize the beneficial effects possessed by the above method embodiments. The device can also be used to realize the functions of the second device in the above method embodiments, and thus can also realize the beneficial effects possessed by the above method embodiments. In the embodiments of the present application, the device can be the first device as shown in Figure 2a , and can also be a module (such as a chip) applied to the first device. In the embodiments of the present application, the device can be the second device as shown in Figure 2a , and can also be a module (such as a chip) applied to the second device.

[0221] As shown in Figure 6 , the device 1300 includes a processing unit 1310 and a transceiver unit 1320. The device 1300 is used to realize the functions of the first device in the method embodiments shown in at least one of the above Figure 3 or Figure 5 .

[0222] When the device 1300 is used to realize the functions of the first device in the method embodiments shown in at least one of the above Figure 3 or Figure 5 , the processing unit 1310 is used to perform, through the transceiver unit 1320: receiving network performance anomaly analysis requirement information, analyzing the network performance parameters according to the network performance anomaly analysis requirement information to obtain a network performance anomaly analysis result; and sending the network performance anomaly analysis result.

[0223] When the device 1300 is used to realize the functions of the first device in the method embodiments shown in at least one of the above Figure 3 or Figure 5In at least one of the method embodiments shown in the figure, the function of the first device is as follows: the processing unit 1310 is further configured to perform, via the transceiver unit 1320, the following: if the type information of the abnormal threshold includes static threshold type information, determine whether the network performance parameters are abnormal based on the abnormal threshold.

[0224] When device 1300 is used to achieve Figure 3 or Figure 5 In at least one of the method embodiments shown in the figure, the function of the first device is as follows: the processing unit 1310 is further configured to perform the following through the transceiver unit 1320: when the abnormal threshold type information includes dynamic threshold type information, determine an abnormal threshold update value, and determine whether the network performance parameters are abnormal based on the abnormal threshold update value.

[0225] When device 1300 is used to achieve Figure 3 or Figure 5 In at least one of the method embodiments shown in the figure, the function of the first device is as follows: the processing unit 1310 is further configured to perform the following through the transceiver unit 1320: when the network performance anomaly analysis type information includes the network performance anomaly root cause analysis type and the first trigger condition, when the network performance parameter anomaly is met, perform root cause analysis on the anomaly of the network performance parameter and obtain the root cause analysis result; the network performance anomaly analysis result includes the root cause analysis result.

[0226] When device 1300 is used to achieve Figure 3 or Figure 5 When the first device functions as shown in at least one of the method embodiments, the processing unit 1310 is further configured to perform the following via the transceiver unit 1320: when the network performance anomaly analysis type information includes the network performance anomaly repair suggestion analysis type and the second triggering condition: when the network performance parameter anomaly is met, a repair suggestion is determined based on the network performance parameter anomaly; the network performance anomaly analysis result includes the root cause analysis result repair suggestion.

[0227] When device 1300 is used to achieve Figure 3 or Figure 5 In at least one of the method embodiments shown in the figure, the first device functions as follows: sending a first message, the first message including capability information, the capability information indicating the capability information supported for network performance anomaly analysis; the network performance anomaly analysis requirement information is set according to the capability information.

[0228] like Figure 6 As shown, the device 1300 includes a processing unit 1310 and a transceiver unit 1320. The device 1300 is used to implement the above-described... Figure 3 or Figure 5 The function of the second device in at least one of the method embodiments shown.

[0229] When the apparatus 1300 is configured to implement the method embodiment shown in at least one of Figure 3 or Figure 5 as a second device, the processing unit 1310 is configured to perform, via the transceiver 1320, transmitting network performance anomaly analysis requirement information, receiving network performance anomaly analysis result.

[0230] When the apparatus 1300 is configured to implement the method embodiment shown in at least one of Figure 3 or Figure 5 as a second device, the processing unit 1310 is further configured to perform, via the transceiver 1320, receiving a first message, the first message comprising capability information, the capability information indicating supported network performance anomaly analysis capability information; determining network performance anomaly analysis requirement information according to the capability information.

[0231] The related content in the above solutions, and the processing unit 1310 and the transceiver 1320 are described in more detail, which can be directly obtained by referring to the related description in the method embodiment shown in at least one of Figure 3 or Figure 5 , and will not be described here.

[0232] As shown in Figure 7 , the apparatus 1400 comprises processing circuitry 1410 and interface circuitry 1420. The processing circuitry 1410 and the interface circuitry 1420 are coupled to each other. It can be understood that the interface circuitry 1420 can be a transceiver or an input / output interface. Optionally, the apparatus 1400 can further comprise a memory for storing instructions executed by the processing circuitry or storing input data required by the processing circuitry 1410 to execute instructions or storing data generated after the processing circuitry 1410 executes instructions.

[0233] When the apparatus 1400 is configured to implement the method shown in at least one of Figure 3 or Figure 5 , the processing circuitry 1410 is configured to implement the functions of the above-mentioned processing unit 1310, and the interface circuitry 1420 is configured to implement the functions of the above-mentioned transceiver 1320.

[0234] As shown in Figure 8 , the apparatus 1500 comprises a processor 1510 and a communication interface 1520. The processor 1510 and the communication interface 1520 are coupled to each other. It can be understood that the communication interface 1520 can be a transceiver or an input / output interface. Optionally, the apparatus 1500 can further comprise a memory 1530 for storing instructions executed by the processor 1510 or storing input data required by the processor 1510 to execute instructions or storing data generated after the processor 1510 executes instructions.

[0235] When the apparatus 1500 is configured to implement the method shown in at least one of Figure 3 or Figure 5 , the processor 1510 is configured to implement the functions of the processing unit 1310 described above, and the communication interface 1520 is configured to implement the functions of the transceiver unit 1320 described above.

[0236] When the apparatus 1500 is configured to implement the method shown in at least one of Figure 3 or Figure 5 , the processor 1510 is configured to perform, through the communication interface 1520, receiving network performance anomaly analysis requirement information, performing analysis on the network performance parameters according to the network performance anomaly analysis requirement information, and obtaining a network performance anomaly analysis result; and sending the network performance anomaly analysis result.

[0237] When the apparatus 1500 is configured to implement the method shown in at least one of Figure 3 or Figure 5 , the processor 1510 is configured to perform, through the communication interface 1520, sending network performance anomaly analysis requirement information, and receiving a network performance anomaly analysis result.

[0238] It can be understood that the processor in the embodiments of the present application can be a central processing unit (CPU), and can also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), field programmable gate arrays (FPGA) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. The general-purpose processor can be a microprocessor or any conventional processor.

[0239] According to the method provided in the embodiments of the present application, the present application further provides a computer program product, which comprises a computer program or instructions, and when the computer program or instructions are run on a computer, the computer is caused to execute the method of any one of the embodiments shown in at least one of Figure 3 or Figure 5 .

[0240] According to the method provided in the embodiments of the present application, the present application further provides a computer readable storage medium, which stores a program or instructions, and when the program or instructions are run on a computer, the computer is caused to execute the method of any one of the embodiments shown in at least one of Figure 3 or Figure 5 .the method of any one of the embodiments shown in at least one of

[0241] According to the method provided in the embodiments of the present application, the present application further provides a chip system, which can include a processor. The processor is coupled with a memory and can be used to execute Figure 3 or Figure 5 the method of any one of the embodiments shown in at least one of Figure 3 or Figure 5 Figure 3 Figure 5 Figure 6 Figure 3 Figure 5 Figure 3 Figure 5 Figure 3 Figure 5 Figure 3 Figure 5 Figure 7 Figure 3 Figure 5 Figure 8 Figure 3 Figure 5 Figure 3 Figure 5 Figure 3 Figure 5 Figure 3 Figure 5 Figure 3 Figure 5 Figure 3 Figure 5 Figure 3 Figure 5 Figure 3 Figure 5 Figure 6 Figure 3 Figure 5 Figure 3 Figure 5 Figure 3 Figure 5 Figure 3 Figure 5 Figure 7 Figure 3 Figure 5 Figure 8 Figure 3 Figure 5 Figure 3 Figure 5 Figure 3 Figure 5 Figure 3 Figure 5 Figure 3 Figure 5 Figure 3 Figure 5 Figure the method of any one of the embodiments shown in at least one of

[0242] According to the method provided in the embodiments of the present application, the present application further provides a system, which includes the first device and the second device described above.

[0243] The method steps in the embodiments of the present application can be implemented by hardware, or by a combination of software and hardware executed by a processor. The software instructions can be stored in a memory, and the memory can be a Random Access Memory (RAM), a flash, a Read-Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Programmable Read-Only Memory (EPROM), an Electrically Erasable Programmable Read-Only Memory (EEPROM), a register, a hard disk, a solid-state drive (SSD), a floppy disk, a Compact Disc Read-Only Memory (CD-ROM), or any other form of storage medium known in the art. An exemplary storage medium is coupled to the processor, such that the processor can read information from the storage medium and write information to the storage medium. Of course, the storage medium can be a component of the processor. The processor and the storage medium can be located in an ASIC. The ASIC can be located in a device. Of course, the processor and the storage medium can also be located in a device as discrete components.

[0244] In the above embodiments, all or part of the embodiments can be implemented by software, hardware, firmware or any combination thereof. When implemented by software, all or part of the embodiments can be implemented in the form of a computer program product. The computer program product includes one or more computer programs or instructions. When the computer programs or instructions are loaded and executed on a computer, all or part of the processes or functions of the embodiments are performed. The computer can be a general purpose computer, a special purpose computer, a computer network, a network device, a user equipment or other programmable apparatus. The computer programs or instructions can be stored in a computer readable storage medium or transferred from one computer readable storage medium to another computer readable storage medium, for example, the computer programs or instructions can be transferred from one website site, computer, server or data center to another website site, computer, server or data center through wired or wireless manner. The computer readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server, data center and the like integrated with one or more available media. The available media can be a magnetic medium, such as a floppy disk, a hard disk, a magnetic tape; or an optical medium, such as a digital video disc; or a semiconductor medium, such as a solid state disk. The computer readable storage medium can be a volatile or non-volatile storage medium, or can include both volatile and non-volatile storage media.

[0245] In various embodiments of the present application, the terms and / or descriptions between different embodiments are consistent and can be referred to each other if there is no special description and logical conflict, and the technical features in different embodiments can be combined to form new embodiments according to their inherent logical relationship.

[0246] In the present application, "multiple" refers to two or more. "And / or" describes the association between the associated objects, which means that there can be three kinds of relationships, for example, A and / or B, which can represent the following cases: A exists alone, A and B exist together, and B exists alone, where A and B can be singular or plural. In the textual description of the present application, the character " / ", generally represents that the associated objects before and after are in a "or" relationship; in the formula of the present application, the character " / ", represents that the associated objects before and after are in a "division" relationship. "Including at least one of A, B or C" can mean: including A; including B; including C; including A and B; including A and C; including B and C; including A, B and C.

[0247] It can be understood that various numerical numbers involved in the embodiments of the present application are only for convenient differentiation, and do not limit the scope of the embodiments of the present application. The size of the serial number of the above processes does not mean the order of execution, and the execution order of the processes should be determined by its function and inherent logic.

Claims

1. A network performance anomaly analysis method, characterized by, The method comprises: receiving network performance anomaly analysis requirement information; the network performance anomaly analysis requirement information comprises at least one of information of a network performance parameter or a network performance anomaly analysis type; the information of the network performance parameter comprises at least one of an identifier of the network performance parameter or category information of the network performance parameter; the network performance anomaly analysis type comprises at least one of network performance anomaly detection analysis, network performance anomaly root cause analysis, or network performance anomaly repair suggestion analysis; the network performance anomaly analysis requirement information further comprises an abnormal threshold corresponding to the network performance parameter and type information of the abnormal threshold; and the type information of the abnormal threshold comprises static threshold type information or dynamic threshold type information; 2. The method of claim 1, wherein, performing analysis on the network performance parameter according to the network performance anomaly analysis requirement information to obtain a network performance anomaly analysis result; and sending the network performance anomaly analysis result. In a case where the type information of the abnormal threshold comprises static threshold type information, determining whether the network performance parameter is abnormal according to the abnormal threshold; or 3. The method of claim 1 or 2, wherein, in a case where the type information of the abnormal threshold comprises dynamic threshold type information, determining an updated value of the abnormal threshold and determining whether the network performance parameter is abnormal according to the updated value of the abnormal threshold. The network performance anomaly analysis requirement information further comprises object information of network performance anomaly analysis; the object information of network performance anomaly analysis comprises at least one of the following: geographical area information; or 4. The method of claim 1 or 2, wherein, network device information. The network performance anomaly analysis requirement information further comprises at least one of the following: a first trigger condition for root cause analysis of an abnormality of the network performance parameter; or 5. The method of claim 4, wherein, a second trigger condition for providing a repair suggestion for an abnormality of the network performance parameter. In a case where the type information of the network performance anomaly analysis comprises a network performance anomaly root cause analysis type and the first trigger condition: the performing analysis on the network performance parameter according to the network performance anomaly analysis requirement information to obtain a network performance anomaly analysis result comprises:

6. The method of claim 4, wherein, in a case where a condition in which the network performance parameter is abnormal satisfies the first trigger condition, performing root cause analysis on the abnormality of the network performance parameter to obtain a root cause analysis result; and the network performance anomaly analysis result comprises the root cause analysis result. In a case where the type information of the network performance anomaly analysis comprises a network performance anomaly repair suggestion analysis type and the second trigger condition: the performing analysis on the network performance parameter according to the network performance anomaly analysis requirement information to obtain a network performance anomaly analysis result comprises: in a case where a condition in which the network performance parameter is abnormal satisfies the second trigger condition, determining a repair suggestion according to the condition in which the network performance parameter is abnormal; and the network performance anomaly analysis result comprises the root cause analysis result and the repair suggestion.

7. The method of claim 1 or 2, wherein, The network performance anomaly analysis requirement information further comprises network performance anomaly analysis statistical information. The network performance anomaly analysis statistical information indicates contents included in the network performance anomaly analysis result. The network performance anomaly analysis statistical information comprises at least one of the following: a number of cells in which a network performance parameter is abnormal, a number of grids in which a network performance parameter is abnormal, a number of network elements in which a network performance parameter is abnormal, or a number of times that a network performance parameter is abnormal.

8. The method of claim 1 or 2, wherein, Before the receiving the network performance anomaly analysis request, the method further comprises: sending a first message, the first message comprising capability information indicating a supported network performance anomaly analysis capability; and the network performance anomaly analysis requirement information is set according to the capability information.

9. A network performance anomaly analysis method characterized by, comprising: sending network performance anomaly analysis requirement information; The network performance anomaly analysis requirement information indicates a requirement met by analyzing a network performance parameter; The network performance anomaly analysis requirement information comprises at least one of the following: information of the network performance parameter or a network performance anomaly analysis type; The information of the network performance parameter comprises at least one of the following: an identifier of a network performance parameter or category information of a network performance parameter; The network performance anomaly analysis type comprises at least one of the following: network performance anomaly detection analysis, network performance anomaly root cause analysis, or network performance anomaly repair suggestion analysis; The network performance anomaly analysis requirement information further comprises an abnormal threshold corresponding to the network performance parameter and type information of the abnormal threshold; the type information of the abnormal threshold comprises static threshold type information or dynamic threshold type information; receiving a network performance anomaly analysis result.

10. The method of claim 9, wherein, The static threshold type information indicates whether the network performance parameter is abnormal according to the abnormal threshold; The dynamic threshold type information indicates determining an abnormal threshold update value and determining whether the network performance parameter is abnormal according to the abnormal threshold update value.

11. The method of claim 9 or 10, wherein, The network performance anomaly analysis requirement information further comprises object information of network performance anomaly analysis, the object information of network performance anomaly analysis indicating a data source of network performance anomaly analysis; The object information of network performance anomaly analysis comprises at least one of the following: geographical area information; or network device information.

12. The method of claim 9 or 10, wherein, The network performance anomaly analysis requirement information further comprises at least one of the following: a first trigger condition for root cause analysis of an abnormality of the network performance parameter; or a second trigger condition for providing a repair suggestion for an abnormality of the network performance parameter.

13. The method of claim 9 or 10, wherein, The network performance anomaly analysis requirement information further comprises network performance anomaly analysis statistical information; The network performance anomaly analysis statistical information indicates contents included in the network performance anomaly analysis result. The network performance anomaly analysis statistical information comprises at least one of the following: a number of cells in which a network performance parameter is abnormal, a number of grids in which a network performance parameter is abnormal, a number of network elements in which a network performance parameter is abnormal, or a number of times that a network performance parameter is abnormal.

14. The method of claim 9 or 10, wherein, Before the sending the network performance anomaly analysis request, the method further comprises: receiving a first message, the first message comprising capability information, the capability information indicating a capability information of supported network performance anomaly analysis; determining the network performance anomaly analysis requirement information according to the capability information.

15. A network performance anomaly analysis apparatus characterized by comprising: comprising a processing unit and a transceiving unit; the transceiving unit, configured to transceive data; the processing unit, configured to perform the method of any one of claims 1-8 or the method of any one of claims 9-14 via the transceiving unit.

16. A network performance anomaly analysis apparatus characterized by comprising: comprising a memory and a processor coupled to the memory; the memory, configured to store computer programs or instructions; the processor, configured to execute the computer programs or instructions in the memory, so that the apparatus performs the method of any one of claims 1-14.

17. A computer-readable storage medium, characterized in that, The computer readable storage medium stores computer executable instructions, which when invoked by a computer, cause the method of any one of claims 1-14 to be performed.

18. A communication system, characterized by The communication system comprises: an apparatus for performing the method of any one of claims 1-8, and an apparatus for performing the method of any one of claims 9-14.

19. A computer program product, characterised in that, The computer program product stores a computer program, the computer program comprising program instructions, which when executed by a computer, cause the computer to perform the method of any one of claims 1-8 or the method of any one of claims 9-14.

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