CN114302430A

CN114302430A - Data analysis method and device, storage medium and equipment

Info

Publication number: CN114302430A
Application number: CN202111617084.XA
Authority: CN
Inventors: 任驰; 马泽芳; 马瑞涛; 邢天齐
Original assignee: China United Network Communications Group Co Ltd
Current assignee: China United Network Communications Group Co Ltd
Priority date: 2021-12-27
Filing date: 2021-12-27
Publication date: 2022-04-08
Anticipated expiration: 2041-12-27
Also published as: CN114302430B

Abstract

The invention discloses a data analysis method, a data analysis device, a storage medium and data analysis equipment, relates to the field of data communication, and aims to solve the technical problem of how to guarantee the successful analysis of specific service data and report the analysis result of the specific service data to service consumer equipment. The method comprises the following steps: the NWDAF equipment receives a request analysis message sent by service consumer equipment; under the condition that the request analysis message comprises a first analysis instruction and a second analysis instruction, the NWDAF device judges whether the request analysis message further comprises an instruction analysis parameter of first service data in the plurality of service data; indicating the analysis parameters to be used for identifying whether the analysis result of the first service data is periodically sent; and if the request analysis message also comprises an indication analysis parameter, the NWDAF device analyzes the first service data according to the second analysis duration, and sends an analysis result of the first service data to the service consumer device according to the indication analysis parameter.

Description

Data analysis method and device, storage medium and equipment

Technical Field

The present invention relates to the field of data communication, and in particular, to a data analysis method, apparatus, storage medium, and device.

Background

Network data analysis function (NWDAF) equipment is defined in a framework of a 5th generation mobile communication technology (5G) network, and the NWDAF equipment can perform data acquisition, data analysis and analysis result feedback on service data in the 5G network through a standardized communication network flow based on an Artificial Intelligence (AI) technology.

Specifically, a service consumer device of the NWDAF device sends an analysis request message including an analysis indication to the NWDAF device. The analysis instruction is used for instructing the NWDAF device to analyze the service data according to a preset analysis duration and periodically or non-periodically feeding back an analysis result of the service data to the service consumer device. The analysis indication may be a global periodic analysis indication or a specific analysis indication: the global periodic analysis indication is used for indicating the NWDAF device to analyze a plurality of service data according to the first analysis time length and report the analysis results of the service data periodically, and the specific analysis indication is used for indicating the NWDAF device to analyze specific service data according to the second analysis time length and report the analysis results of the specific service data.

However, in a case where the analysis request message includes both the global periodic analysis instruction and the specific analysis instruction, the NWDAF device cannot determine what analysis duration to analyze the specific service data and what manner to send the analysis result of the specific service data for the specific service data, and may discard the specific service data, thereby failing to analyze the service data.

Disclosure of Invention

The invention provides a data analysis method, a data analysis device, a storage medium and data analysis equipment, which are used for solving the technical problem of how to guarantee that specific service data are successfully analyzed and the analysis result of the specific service data is reported to service consumer equipment.

In order to achieve the purpose, the invention adopts the following technical scheme:

in a first aspect, a data analysis method is provided, which is applied to a network data analysis function NWDAF device, and the method includes: the NWDAF equipment receives a request analysis message sent by service consumer equipment; the request analysis message is used for requesting the NWDAF device to analyze the plurality of service data and sending an analysis result of the plurality of service data to the service consumer device; under the condition that the request analysis message comprises a first analysis instruction and a second analysis instruction, the NWDAF device judges whether the request analysis message further comprises an instruction analysis parameter of first service data in the plurality of service data; the first analysis instruction is used for instructing the NWDAF equipment to analyze a plurality of service data according to the first analysis duration and periodically sending the analysis results of the plurality of service data to the service consumer equipment; the second analysis instruction is used for instructing the NWDAF device to analyze the first service data according to the second analysis duration and sending an analysis result of the first service data to the service consumer device; indicating the analysis parameters to be used for identifying whether the analysis result of the first service data is periodically sent; the first service data is any one of a plurality of service data; and if the request analysis message also comprises an indication analysis parameter, the NWDAF device analyzes the first service data according to the second analysis duration, and sends an analysis result of the first service data to the service consumer device according to the indication analysis parameter.

After the NWDAF device receives the request analysis message sent by the service consumer device, if the NWDAF device determines that the request analysis message includes the first analysis instruction and the second analysis instruction at the same time, it determines whether the request analysis message further includes an instruction analysis parameter for identifying whether to periodically send the analysis result of the first service data. And if the request analysis message also comprises an indication analysis parameter, the NWDAF device analyzes the first service data according to the second analysis duration, and sends an analysis result of the first service data to the service consumer device according to the indication analysis parameter.

It can be seen that, in the technical solution of the present invention, the indication analysis parameter is added to the request analysis message, so that, when the request analysis message includes the first analysis indication and the second analysis indication, the NWDAF device sends the analysis result of the first service data to the service consumer device according to the indication analysis parameter and the second analysis duration, and can ensure that the first service data is successfully analyzed and the analysis result of the first service data is reported to the service consumer device.

In one possible implementation manner, after the NWDAF device determines whether the request analysis message further includes an indication analysis parameter of a first service data in the plurality of service data, the method further includes: if the request analysis message also comprises an indication analysis parameter, the NWDAF device analyzes second service data according to the first analysis duration and periodically sends an analysis result of the second service data to the service consumer device; the second service data is service data of the plurality of service data except the first service data. Thus, under the condition that the request analysis message contains the global periodic analysis instruction and the specific analysis instruction, if the request analysis message also contains the instruction analysis parameter of the first service data, the NWDAF device sends the instruction analysis parameter to analyze the second service data according to the first analysis duration, and periodically sends the service data except the first service data in the plurality of service data to the service consumer device. Therefore, the problem of how to send the analysis results of a plurality of service data to the service consumer device when the global periodicity analysis instruction conflicts with the specific analysis instruction is solved.

In a possible implementation manner, the method further includes: under the condition that the request analysis message comprises a first analysis instruction and a second analysis instruction, if the request analysis message does not comprise an instruction analysis parameter, the NWDAF device analyzes the plurality of service data according to the first analysis duration, and periodically sends the analysis results of the plurality of service data to the service consumer device. Thus, in the present invention, when the request analysis message includes the global periodic analysis instruction and the specific analysis instruction, if the request analysis message does not include the instruction analysis parameter of the first service data, the NWDAF device analyzes the plurality of service data according to the first analysis duration, and periodically sends the analysis result of the plurality of service data to the service consumer device. That is, the NWDAF device ignores the specific analysis indication and does not perform specific processing on the first traffic data. Therefore, the problem of how to send the analysis results of a plurality of service data to the service consumer device when the global periodicity analysis instruction conflicts with the specific analysis instruction is solved.

In a second aspect, a data analysis method is provided, which is applied to a service consumer device, and the method includes: determining that the analysis indication of the plurality of business data to be analyzed comprises a first analysis indication and a second analysis indication; the first analysis instruction is used for instructing the NWDAF device to analyze the plurality of service data according to the first analysis duration and periodically sending the analysis results of the plurality of service data to the service consumer device; the second analysis instruction is used for instructing the NWDAF device to analyze the first service data in the plurality of service data according to the second analysis duration and sending an analysis result of the first service data to the service consumer device; acquiring an indication analysis parameter of the first service data, and generating a request analysis message according to the first analysis indication, the second analysis indication and the indication analysis parameter; indicating the analysis parameters to be used for identifying whether the analysis result of the first service data is periodically sent; the first service data is any one of a plurality of service data; the request analysis message is used for requesting the NWDAF device to analyze the plurality of service data and sending an analysis result of the plurality of service data to the service consumer device; a request to analyze message is sent to the NWDAF device.

It can be seen that, in the technical solution of the present invention, when the analysis indication of the plurality of service data to be analyzed includes the first analysis indication and the second analysis indication, the service consumer device adds the indication analysis parameter to the request analysis message, so that when the request analysis message includes the first analysis indication and the second analysis indication, the service consumer device instructs the NWDAF device to send the analysis result of the first service data to the service consumer device according to the indication analysis parameter and the second analysis duration, which can ensure that the first service data is successfully analyzed and the analysis result of the first service data is reported to the service consumer device.

In a third aspect, a data analysis apparatus is provided, which is applied to a network data analysis function NWDAF device, and includes: the device comprises a receiving unit, a judging unit, an analyzing unit and a sending unit; a receiving unit, configured to receive, by an NWDAF device, a request analysis message sent by a service consumer device; the request analysis message is used for requesting the NWDAF device to analyze the plurality of service data and sending an analysis result of the plurality of service data to the service consumer device; the device comprises a judging unit, a processing unit and a processing unit, wherein the judging unit is used for judging whether the request analysis message further comprises an indication analysis parameter of first service data in a plurality of service data or not by the NWDAF device under the condition that the request analysis message comprises a first analysis indication and a second analysis indication; the first analysis instruction is used for instructing the NWDAF equipment to analyze a plurality of service data according to the first analysis duration and periodically sending the analysis results of the plurality of service data to the service consumer equipment; the second analysis instruction is used for instructing the NWDAF device to analyze the first service data according to the second analysis duration and sending an analysis result of the first service data to the service consumer device; indicating the analysis parameters to be used for identifying whether the analysis result of the first service data is periodically sent; the first service data is any one of a plurality of service data; the analysis unit is used for analyzing the first service data by the NWDAF device according to the second analysis duration if the request analysis message also comprises an indication analysis parameter; and the sending unit is used for sending the analysis result of the first business data to the service consumer equipment according to the indication analysis parameter.

In a possible implementation manner, the sending unit is further configured to, after the NWDAF device determines whether the request analysis message further includes an indication analysis parameter of first service data in the plurality of service data, if the request analysis message further includes the indication analysis parameter, the NWDAF device analyzes second service data according to the first analysis duration, and periodically sends an analysis result of the second service data to the service consumer device; the second service data is service data of the plurality of service data except the first service data.

In a possible implementation manner, the sending unit is further configured to, when the request analysis message includes the first analysis instruction and the second analysis instruction, if the request analysis message does not include the instruction analysis parameter, analyze, by the NWDAF device, the plurality of service data according to the first analysis duration, and periodically send an analysis result of the plurality of service data to the service consumer device.

In a fourth aspect, there is provided a data analysis apparatus for use in a service consumer device, the apparatus comprising: the device comprises a determining unit, an acquiring unit, a generating unit and a sending unit; the device comprises a determining unit, a processing unit and a processing unit, wherein the determining unit is used for determining that the analysis instructions of the plurality of service data to be analyzed comprise a first analysis instruction and a second analysis instruction; the first analysis instruction is used for instructing the NWDAF device to analyze the plurality of service data according to the first analysis duration and periodically sending the analysis results of the plurality of service data to the service consumer device; the second analysis instruction is used for instructing the NWDAF device to analyze the first service data in the plurality of service data according to the second analysis duration and sending an analysis result of the first service data to the service consumer device; the first service data is any one of a plurality of service data; the acquisition unit is used for acquiring the indication analysis parameter of the first service data; indicating the analysis parameters to be used for identifying whether the analysis result of the first service data is periodically sent; the generating unit is used for generating a request analysis message according to the first analysis instruction, the second analysis instruction and the instruction analysis parameter; the request analysis message is used for requesting the NWDAF device to analyze the plurality of service data and sending an analysis result of the plurality of service data to the service consumer device; a sending unit, configured to send a request analysis message to the NWDAF device.

In a fifth aspect, there is provided a computer readable storage medium having stored therein instructions that, when executed, implement the data analysis method of the first or second aspect.

In a sixth aspect, there is provided a network data analysis function NWDAF device, comprising: a processor, a memory, and a communication interface; the communication interface is used for communication between the communication device and other equipment or networks; the memory is for storing one or more programs, the one or more programs including computer-executable instructions, which when executed by the NWDAF apparatus, the processor executes the computer-executable instructions stored by the memory to cause the NWDAF apparatus to perform the data analysis method of the first aspect.

In a seventh aspect, there is provided a service consumer device comprising: a processor, a memory, and a communication interface; the communication interface is used for communication between the communication device and other equipment or networks; the memory is for storing one or more programs, the one or more programs including computer executable instructions, which when executed by the processor, cause the service consumer device to perform the data analysis method of the second aspect.

Drawings

Fig. 1 is a schematic diagram of an NWDAF architecture according to an embodiment of the present invention;

fig. 2 is a schematic flow chart of a data analysis method according to an embodiment of the present invention;

fig. 3 is a second schematic flow chart of a data analysis method according to an embodiment of the present invention;

fig. 4 is a schematic structural diagram of a data analysis system according to an embodiment of the present invention;

fig. 5 is a third schematic flow chart of a data analysis method according to an embodiment of the present invention;

FIG. 6 is a fourth schematic flowchart of a data analysis method according to an embodiment of the present invention;

FIG. 7 is a fifth flowchart illustrating a data analysis method according to an embodiment of the present invention;

fig. 8 is a sixth schematic flowchart of a data analysis method according to an embodiment of the present invention;

fig. 9 is a seventh schematic flowchart of a data analysis method according to an embodiment of the present invention;

fig. 10 is an eighth schematic flowchart of a data analysis method according to an embodiment of the present invention;

FIG. 11 is a ninth flowchart illustrating a data analysis method according to an embodiment of the present invention;

fig. 12 is a schematic structural diagram of a data analysis apparatus according to an embodiment of the present invention;

FIG. 13 is a schematic structural diagram of another data analysis apparatus according to an embodiment of the present invention;

FIG. 14 is a schematic structural diagram of an NWDAF device according to an embodiment of the present invention;

fig. 15 is a second schematic structural diagram of an NWDAF apparatus according to an embodiment of the present invention.

Detailed Description

Before describing embodiments of the present invention, the noun terms to which embodiments of the present invention relate are explained:

an access and mobility management function (AMF) device is a core network control plane network element, and is used for implementing management functions of a control plane such as registration management, connection management, mobility management, user accessibility management of a user, and management related to authentication and authorization.

A Session Management Function (SMF) device, which is a core network control plane device, is mainly responsible for Session Management related work, including establishment, modification, release, and the like.

An authentication server function (AUSF) device, which is a core network control plane network element, is mainly responsible for authentication and authorization of a user to ensure that the user is a valid user.

A Network Slice Selection Function (NSSF) device, which is a core network control plane network element and is mainly responsible for selecting a network slice instance set of services for a user terminal, determining allowed and configured network slice selection auxiliary information, determining an AMF set of the service user terminal, and the like.

A Network Exposure Function (NEF) device, which is a core network control plane network element and is mainly responsible for opening mobile network capabilities to the outside, converting internal and external information, and the like.

A network storage function (NRF) device, which is a core network control plane network element and is mainly responsible for dynamic registration of service capabilities of network functions and discovery of network functions.

An Operation and Maintenance management system (OAM) device is mainly responsible for Operation, management and Maintenance of network Operation of an operator. The operation mainly completes the analysis, prediction, planning and configuration work of the daily network and the business; maintenance is mainly daily operation activities performed on the network and its service test, fault management, and the like.

And the Application Function (AF) equipment interacts with the 5G core network to provide services, and supports the influence of the application on the traffic routing, accesses the NEF equipment, interacts with the policy framework and the like.

A network data analysis function (NWDAF) device, which is mainly used for analyzing various network data. The NWDAF device may collect network operation data from a core network control plane Network Function (NF) device, terminal and network related statistical data obtained from an OAM device, and application data from an AF. And the NWDAF equipment feeds back the analysis result to the NF equipment, the OAM equipment or the AF equipment within a certain analysis time length.

Network data analysis function NWDAF architecture:

the third generation partnership project (3 GPP) defines a 5G native big data analysis and AI technology application framework based on a network data analysis function NWDAF in a 5G mobile communication technology, and the NWDAF framework supports mechanisms such as corresponding data acquisition, data analysis and analysis result feedback through a standardized communication network flow, so that the automated management, operation and optimization capabilities of the 5G network are further improved.

As shown in fig. 1, the NWDAF device may collect network operation data, terminal and network related statistics data obtained from OAM, and application data from the AF device from the core network control plane network function NF. And the NWDAF equipment feeds back the analysis result to the NF equipment, the OAM equipment or the AF equipment within a certain analysis time length. The NWDAF device can also interact with the NRF device to acquire NF device registration information and finish data access operation.

The NF device may be any instantiated functional network element in the 5G core network control plane functional network elements, for example: AMF device, SMF device, AUSF device, NSSF device, NEF device, unified data management function (UDM) device, Policy Control Function (PCF) device in a 5G mobile communication system.

Based on the NWDAF architecture shown in fig. 1, a "near real-time" interaction mechanism between the NWDAF service consumer device and the NWDAF device is shown in fig. 2. That is, the NWDAF device evaluates and calculates its internal analysis type (such as analysis identifier analysis ID) for the service data, obtains the "supported analysis duration" for the analysis type, and registers it as a part of NWDAF device information (NF Profile) in the NRF device. When the NWDAF service consumer device conducts NWDAF device discovery, a NWDAF device discovery request message is sent to the NRF device according to the service data needing to be analyzed. The NRF returns a list to the NWDAF service consumer including a plurality of alternative NWDAF devices, the list also including the "supported analysis duration" for each alternative NWDAF device. The NWDAF service consumer compares the supported analysis duration of each candidate NWDAF device in the list with the analysis duration expected by the NWDAF service consumer, and selects one NWDAF with the shortest supported analysis duration to perform subsequent operations such as analysis request, analysis subscription and the like on the service data sent by the NWDAF service consumer device. The specific process is as follows:

s101: the NWDAF service consumer device transmits a discovery request message. For example: the transmission request message may be: nrf _ NFDiscovery _ Request. That is, the NWDAF service consumer sends a discovery request message to the NRF, where the discovery request message carries the requested analysis ID and the expected analysis duration for the analysis service of the requested analysis ID.

S102: the NRF device determines an NWDAF list. For example: the transmission request message may be: authroize NF Service Discovery. I.e., the NRF device may determine a list including a plurality of alternative NWDAF devices based on the discovery request message.

S103: the NRF device transmits the NWDAF list. For example: the transmission request message may be: nrf _ NFDiscovery _ Request Response. That is, the NRF device returns a list including a plurality of candidate NWDAF devices to the NWDAF service consumer device, where the NWDAF list includes an analysis duration supported by each of the candidate NWDAF devices. Subsequently, the NWDAF service consumer device selects one NWDAF device as the target NWDAF device.

Illustratively, the NWDAF service consumer device selects one of the NWDAF devices having the smallest analysis duration as the target NWDAF device for subsequent analysis requests. The target NWDAF device may ensure that the NWDAF service consumer device obtains an analysis result of the NWDAF service consumer device requesting analysis of the business data within an analysis duration supported by the target NWDAF device, and that the NWDAF service consumer device is not required to send an additional analysis duration indication parameter to the target NWDAF device. However, the NWDAF service consumer may indicate to the NWDAF the desired analysis duration via a "time needed to analyze information" parameter.

Based on the NWDAF device discovery process shown in fig. 2, as shown in fig. 3, when an NWDAF service consumer device requests analysis information from a target NWDAF device, a global periodic analysis indication is present in the requested analysis information. The specific process is as follows: s104: the NWDAF service consumer device transmits request analysis information. For example, the transmission request analysis information may be: nwdaf _ AnalyticsInfo _ Request. That is, the NWDAF service consumer device sends request analysis information to the target NWDAF device, where the request analysis information includes analysis ID requested by the NWDAF service consumer device and a global periodicity analysis indication. S105: the NWDAF device periodically transmits the analysis results. For example, the analysis result may be: nwdaf _ AnalyticsInfo _ Request Response. I.e., the target NWDAF device indicates periodic transmission analysis results based on the global periodicity analysis.

The above is an introduction of a part of concepts related to the embodiments of the present invention, and details are not described below.

To enable analysis of the traffic data, the NWDAF service consumer device sends an analysis request message to the NWDAF device. The analysis request message contains service data and analysis instructions requested by the NWDAF service consumer equipment. The analysis indication includes a periodicity indication and a reporting period. That is, the analysis instruction is used to instruct the NWDAF device to report the analysis result of the service data periodically. Thus, the analysis indication is a global analysis indication, i.e. the periodic reports and the reporting periods indicated in the analysis report information are applicable to all traffic data in the analysis request.

However, when the NWDAF service consumer device sends the analysis request message to the NWDAF device, the NWDAF device may not determine whether to report the analysis result of the specific service data according to the global analysis instruction or the specific analysis instruction, in view of the specific service data, and the global periodic analysis instruction applicable to all service data in the analysis request is included in the analysis request message, or in view of the specific analysis instruction for the specific service data. For example, the analysis request includes 10 service data, the global periodic analysis in the analysis request instructs the NWDAF device to report an analysis result of 10 service data every 10 minutes, and the specific analysis instructs the NWDAF device to report an analysis result of the 3rd service data every 3 minutes.

Thus, the NWDAF device cannot determine whether to report the analysis result of the 3rd service data according to the global periodic analysis instruction or the specific analysis instruction. For another example, the analysis request includes 10 service data, the global periodic analysis in the analysis request indicates the NWDAF device to report the analysis result periodically, and the specific analysis indicates the NWDAF device to report the analysis result of the 3rd service data once. Thus, the NWDAF device cannot determine whether to report the analysis result of the 3rd service data according to the cycle or the single time.

In view of this, in the data analysis method provided by the present invention, after the NWDAF device receives the request analysis message sent by the service consumer device, if the NWDAF device determines that the request analysis message includes the first analysis instruction and the second analysis instruction at the same time, it is determined whether the request analysis message further includes an instruction analysis parameter for identifying whether to periodically send an analysis result of the first service data. And if the request analysis message also comprises an indication analysis parameter, the NWDAF device analyzes the first service data according to the second analysis duration, and sends an analysis result of the first service data to the service consumer device according to the indication analysis parameter.

Embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

The system architecture and the service scenario described in the embodiment of the present invention are for more clearly illustrating the technical solution of the embodiment of the present invention, and do not form a limitation on the technical solution provided in the embodiment of the present invention, and it can be known by those skilled in the art that the technical solution provided in the embodiment of the present invention is also applicable to similar technical problems along with the evolution of the network architecture and the appearance of a new service scenario.

Fig. 4 is a schematic diagram of the architecture of the data analysis system 20 applied in the embodiment of the present invention. As shown in fig. 4, the data analysis system 20 may include an NWDAF device 201, a service consumer device 202. The NWDAF device 201 is connected to the service consumer device 202. The NWDAF device 201 and the service consumer device 202 may be connected in a wired manner or in a wireless manner, which is not limited in the embodiment of the present invention.

The NWDAF device 201 receives the analysis request message sent by the service consumer device 202 and analyzes the service data sent by the service consumer device 202 according to the analysis request message. Finally the NWDAF device 201 transmits the analysis results.

The service consumer device 202 generates an indication analysis parameter for a first business data of the plurality of business data, upon determining that the pre-sent analysis request information includes the global analysis indication and the specific analysis indication. And indicating the analysis parameters to be used for identifying whether the analysis result of the first service data is periodically sent.

In order to facilitate clear description of technical solutions of the embodiments of the present invention, in the embodiments of the present invention, terms such as "first" and "second" are used to distinguish the same items or similar items having substantially the same functions and actions. For example, the first filtering policy and the second filtering policy are only for distinguishing different indication information, and the sequence order thereof is not limited. Those skilled in the art will appreciate that the terms "first," "second," etc. do not denote any order or quantity, nor do the terms "first," "second," etc. denote any order or importance.

It is to be understood that the terms "exemplary" or "such as" are used herein to mean serving as an example, instance, or illustration. Any embodiment or design described herein as "exemplary" or "e.g.," is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, use of the word "exemplary" or "such as" is intended to present concepts related in a concrete fashion.

In the present invention, "at least one" means one or more, "a plurality" means two or more. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone, wherein A and B can be singular or plural. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "at least one of the following" or similar expressions refer to any combination of these items, including any combination of the singular or plural items. For example, at least one (one) of a, b, or c, may represent: a, b, c, a-b, a-c, b-c, or a-b-c, wherein a, b, c may be single or multiple.

The data analysis method provided by the embodiment of the invention is described below with reference to the data analysis system shown in fig. 1. In addition, the actions, terms, and the like related to the embodiments of the present invention may be mutually referred to, and are not limited. In the embodiment of the present invention, the name of the message interacted among the devices or the name of the parameter in the message, etc. are only an example, and other names may also be used in the specific implementation, which is not limited. The actions related to the embodiments of the present invention are only an example, and other names may also be used in the specific implementation, for example: the term "comprising" in the embodiments of the present invention may also be replaced by "carrying" or the like.

Fig. 5 is a data analysis method according to an embodiment of the present invention, which is applied to the data analysis system, and as shown in fig. 5, the method includes the following steps S301 to S306.

S301, the service consumer equipment obtains analysis instructions of a plurality of service data to be analyzed.

The service data may be Analytics ID. The service consumer device is an NWDAF service consumer device.

The analysis indication may be a global periodic analysis indication or a specific analysis indication referred to in the above embodiments.

In a possible implementation manner, the service consumer device generates an analysis instruction of the service data according to a requirement of the service data, and further obtains the analysis instruction of the service data.

Illustratively, the service consumer device obtains an analysis indication of 5 analytical IDs to be analyzed.

S302, the service consumer device judges whether the analysis instructions of the plurality of business data to be analyzed comprise a first analysis instruction and a second analysis instruction.

The first analysis instruction is used for instructing the NWDAF device to analyze a plurality of service data according to the first analysis duration and periodically sending the analysis results of the plurality of service data to the service consumer device; the second analysis instruction is used for instructing the NWDAF device to analyze the first service data in the plurality of service data according to the second analysis duration, and sending an analysis result of the first service data to the service consumer device. The first service data is any one of a plurality of service data.

It will be appreciated that the first analysis indication may be a global analysis indication in the above embodiments. The second analysis indication may be a specific analysis indication in the above-described embodiment.

S303, the service consumer device determines that the analysis indication of the plurality of business data to be analyzed includes a first analysis indication and a second analysis indication.

It will be appreciated that in this step the service consumer device determines that two indications of analysis have occurred for a certain traffic data.

S304, the service consumer equipment obtains the indication analysis parameters of the first business data.

The indication analysis parameter is used for identifying whether the analysis result of the first service data is sent periodically.

In one possible implementation, the service consumer device obtains an indication analysis parameter of the first service data according to an analysis indication corresponding to the first service data.

For example, the analysis indication corresponding to the first traffic data may instruct the NWDAF device to transmit the analysis result of the first traffic data a single time. Alternatively, the analysis indication corresponding to the first service data may further instruct the NWDAF device to periodically transmit the analysis result of the first service data.

Specifically, if the service consumer device needs to obtain the analysis result of the first service data specific service data once, the analysis parameter is indicated as a single analysis report parameter. And if the service consumer equipment needs to periodically obtain the analysis result of the first service data, indicating the analysis parameter as a periodic analysis report parameter.

S305, the service consumer device generates a request analysis message according to the first analysis instruction, the second analysis instruction and the instruction analysis parameter.

The request analysis message is used for requesting the NWDAF device to analyze the plurality of service data and sending an analysis result of the plurality of service data to the service consumer device.

In one possible implementation, the service consumer device generates a request analysis message according to the plurality of business data, the first analysis indication, the first business data, the second analysis indication, and the indication analysis parameter. The request analysis message comprises a plurality of service data, a first analysis instruction corresponding to the service data, the first service data, and a second analysis instruction and an indication analysis parameter corresponding to the first service data.

It should be noted that the request analysis message may be an event subscription service message or an analysis request service message. The event subscription service message may include three operations of subscribing, unsubscribing and notifying, or the event subscription service message may be further classified as receiving an event periodically or receiving an event when a specific condition is satisfied. The analysis request service message is different from the event subscription service message. When the NWDAF device provides an analysis request service for the NWDAF service consumer device, the NWDAF device may evaluate and calculate a network function of a specific analysis type sent by the NWDAF service consumer device, and feed back a corresponding analysis result within a certain analysis duration.

S306, the service consumer device sends a request analysis message to the NWDAF device.

In one design, the data analysis method provided by the embodiment of the present invention, as shown in fig. 6, further includes the following steps S307 to S311.

And S307, the NWDAF device receives the request analysis message sent by the service consumer device.

S308, the NWDAF device determines whether the request analysis message includes the first analysis instruction and the second analysis instruction.

The first analysis instruction is used for instructing the NWDAF device to analyze a plurality of service data according to the first analysis duration and periodically sending the analysis results of the plurality of service data to the service consumer device; the second analysis instruction is used for instructing the NWDAF device to analyze the first service data according to the second analysis duration and sending an analysis result of the first service data to the service consumer device.

S309, if the request analysis message includes the first analysis instruction and the second analysis instruction, the NWDAF device determines whether the request analysis message further includes an instruction analysis parameter of the first service data in the plurality of service data.

Specifically, the NWDAF device parses the request analysis message. If the identification bit of the indication analysis parameter for identifying the first service data in the request analysis message is not zero, the NWDAF device determines that the request analysis message contains the indication analysis parameter of the first service data.

And S310, if the request analysis message further comprises an indication analysis parameter, analyzing the first service data by the NWDAF device according to the second analysis duration.

In one possible implementation manner, the NWDAF device analyzes the first service data according to the second analysis duration when determining that the request analysis message further includes the indication analysis parameter.

It can be understood that, when determining that the request analysis message further includes an indication analysis parameter for identifying whether to periodically send an analysis result of the first service data, the NWDAF device determines that the second analysis indication is valid, and further analyzes the first service data according to a second analysis duration in the second analysis indication.

And S311, the NWDAF device sends the analysis result of the first service data to the service consumer device according to the indication analysis parameter.

In one possible implementation, the NWDAF device identifies an indication analysis parameter, and then sends an analysis result of the first service data to the service consumer device according to a result of the device identification indication analysis parameter.

For example, in a case where the NWDAF device identifies that the analysis parameter is a single analysis report parameter, the NWDAF device uploads a single analysis result for first traffic data of the traffic data, and after uploading the single analysis result, the NWDAF device does not upload the analysis result to the NWDAF service consumer for the first traffic data any more unless the NWDAF service consumer issues a request for analysis or a subscription message for the first traffic data again. And under the condition that the NWDAF device identifies that the analysis indication parameter is a periodic analysis report parameter, the NWDAF device sets the reporting period of the first service data as the second analysis duration of the first service data, and periodically reports the analysis result of the first service data.

In one design, how the NWDAF device processes the multiple pieces of traffic data in a case where the first analysis indication and the second analysis indication conflict with each other, as shown in fig. 7, the data analysis method provided in the embodiment of the present invention further includes following S312 to S313 after the NWDAF device determines whether the analysis request message further includes an indication analysis parameter of a first traffic data of the multiple pieces of traffic data.

And S312, if the request analysis message further comprises an indication analysis parameter, the NWDAF device analyzes the second service data according to the first analysis duration.

The second service data is service data of the plurality of service data except the first service data.

S313, the NWDAF device periodically sends the analysis result of the second service data to the service consumer device.

It can be understood that, after the NWDAF device periodically determines that the request analysis message further includes the indication analysis parameter, the NWDAF device analyzes and reports the analysis result of the first service data according to the second analysis duration and the indication analysis parameter of the first service data. And the NWDAF device analyzes the service data except the first service data according to the global periodic analysis instruction and periodically reports the analysis result of the service data except the first service data.

In one design, when a request analysis message includes a first analysis instruction and a second analysis instruction, and if the request analysis message does not include an instruction analysis parameter, how the NWDAF device analyzes a plurality of service data and reports an analysis result of the plurality of service data, as shown in fig. 8, the data analysis method provided in an embodiment of the present invention further includes the following steps S314 to S315.

And S314, under the condition that the request analysis message includes the first analysis instruction and the second analysis instruction, if the request analysis message does not include the instruction analysis parameter, the NWDAF device analyzes the plurality of service data according to the first analysis duration.

And S315, the NWDAF device periodically sends the analysis results of the plurality of service data to the service consumer device.

It will be appreciated that after the NWDAF device periodically determines that the indication analysis parameters are not included in the request analysis message, the NWDAF device considers the second analysis indication in the request analysis message to be an abnormal indication and ignores the second analysis indication. And the NWDAF device analyzes all the service data according to the first analysis instruction and periodically reports the analysis results of all the service data.

In one design, as shown in fig. 9, the data analysis method provided in the embodiment of the present invention further includes following steps S316-S317.

And S316, under the condition that the request analysis message does not comprise the first analysis instruction and the second analysis instruction, the NWDAF device analyzes the plurality of service data according to a preset analysis duration.

It should be noted that the preset analysis time period is the "supported analysis time period" of the NWDAF device in the above-described embodiment.

S317, the NWDAF device sends the analysis result of the plurality of service data to the service consumer device.

It is to be understood that, in the case that the NWDAF device periodically does not include the global periodic analysis instruction and the specific analysis instruction in the determination request analysis message, the NWDAF device analyzes the plurality of service data according to the preset analysis duration and transmits the analysis result of the plurality of service data at a time.

In one design, as shown in fig. 10, the data analysis method provided in the embodiment of the present invention further includes following steps S318 to S319.

S318, the NWDAF device analyzes the plurality of service data according to the first analysis duration when the request analysis message includes the first analysis indication and does not include the second analysis indication.

S319, the NWDAF device periodically sends the analysis result of the plurality of service data to the service consumer device.

It may be understood that, in a case where the NWDAF device periodically includes the first analysis indication in the determination request analysis message but does not include the second analysis indication, the NWDAF device analyzes the plurality of service data according to the first analysis indication and periodically reports an analysis result of the plurality of service data.

More specifically, as shown in the flow chart of another embodiment of the data analysis method shown in fig. 11, the method can be generally described with respect to the methods shown in fig. 6-10. The NWDAF device receives a request analysis message of the NWDAF service consumer device and judges whether the request analysis message contains a first analysis indication message. And if not, the NWDAF equipment reports the analysis information to all the service data once according to the preset analysis duration. If so, the NWDAF device further determines whether the request analysis message includes a second analysis indication message. And if not, the NWDAF device periodically reports the analysis results of all the service data according to the first analysis indication message. If yes, the NWDAF device judges whether the request analysis message contains indication analysis parameters or not. And if not, the NWDAF device ignores the second analysis indication message, and periodically reports analysis results of all the service data according to the first analysis indication message. And if so, the NWDAF equipment identifies the parameter value of the analysis report mode, and then determines the analysis report mode according to the parameter value of the analysis report mode. And under the condition that the analysis report mode is a single analysis report, the NWDAF equipment uploads the single analysis report aiming at the first business data, and after the single analysis report is uploaded, the analysis report is not uploaded to the NWDAF service consumer equipment for the first business data any more unless the NWDAF service consumer equipment sends a request analysis message aiming at the first business data again. And under the condition that the analysis report mode is a periodic analysis report, the NWDAF device sets the reporting period of the first service data to be the second analysis duration of the first service data, and periodically sends the analysis result of the first service data.

The scheme provided by the embodiment of the invention is mainly introduced from the perspective of a method. To implement the above functions, it includes hardware structures and/or software modules for performing the respective functions. Those of skill in the art will readily appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as hardware or combinations of hardware and computer software. Whether a function is performed as hardware or computer software drives hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present embodiments.

Fig. 12 is a schematic structural diagram of a data analysis apparatus according to an embodiment of the present invention. As shown in fig. 12, the data analysis device 40 may be located in the NWDAF apparatus described above. The method comprises the following steps: a receiving unit 401, a judging unit 402, an analyzing unit 403, and a transmitting unit 404.

A receiving unit 401, configured to receive, by the NWDAF device, a request analysis message sent by the service consumer device. The request analysis message is used for requesting the NWDAF device to analyze the plurality of service data and sending an analysis result of the plurality of service data to the service consumer device. For example, in connection with fig. 6, the receiving unit 401 may be configured to perform S307.

A determining unit 402, configured to, in a case that the request analysis message includes the first analysis instruction and the second analysis instruction, determine, by the NWDAF device, whether an indication analysis parameter of a first service data in the plurality of service data is further included in the request analysis message. The first analysis instruction is used for instructing the NWDAF device to analyze the plurality of service data according to the first analysis duration, and periodically sending an analysis result of the plurality of service data to the service consumer device. The second analysis instruction is used for instructing the NWDAF device to analyze the first service data according to the second analysis duration and sending an analysis result of the first service data to the service consumer device. And indicating the analysis parameters to be used for identifying whether the analysis result of the first service data is periodically sent. For example, in conjunction with fig. 6, the determining unit 402 may be configured to perform S308.

An analyzing unit 403, configured to, if the request analysis message further includes an indication analysis parameter, analyze, by the NWDAF device, the first service data according to the second analysis duration. For example, in connection with fig. 6, the analysis unit 403 may be configured to perform S310.

A sending unit 404, configured to send an analysis result of the first business data to the service consumer device according to the indication analysis parameter. For example, in conjunction with fig. 6, the sending unit 404 may be configured to perform S311.

Optionally, as shown in fig. 12, the sending unit 404 is further configured to, after the NWDAF device determines whether the request analysis message further includes an analysis instruction parameter indicating a first service data in the multiple service data, if the request analysis message further includes the analysis instruction parameter, the NWDAF device analyzes the second service data according to the first analysis duration, and periodically sends an analysis result of the second service data to the service consumer device. The second service data is service data of the plurality of service data except the first service data. For example, in connection with fig. 7, the sending unit 404 may be configured to perform S312-S313.

Optionally, as shown in fig. 12, the sending unit 404 is further configured to, when the request analysis message includes the first analysis instruction and the second analysis instruction, if the request analysis message does not include the instruction analysis parameter, analyze, by the NWDAF device, the plurality of service data according to the first analysis duration, and periodically send an analysis result of the plurality of service data to the service consumer device. For example, in connection with fig. 8, the sending unit 404 may be configured to perform S314-S315.

Fig. 13 is a schematic structural diagram of another data analysis apparatus according to an embodiment of the present invention. As shown in fig. 12, the data analysis means 50 may be located in the service consumer device described above. The method comprises the following steps: a determination unit 501, an acquisition unit 502, a generation unit 503, and a transmission unit 504.

A determining unit 501, configured to determine that the analysis indication of the multiple service data to be analyzed includes a first analysis indication and a second analysis indication. The first analysis instruction is used for instructing the network data analysis function NWDAF device to analyze the plurality of service data according to the first analysis duration, and periodically sending an analysis result of the plurality of service data to the service consumer device. The second analysis instruction is used for instructing the NWDAF device to analyze the first service data in the plurality of service data according to the second analysis duration, and sending an analysis result of the first service data to the service consumer device. For example, in conjunction with fig. 5, the determination unit 501 may be configured to perform S303.

An obtaining unit 502, configured to obtain an indication analysis parameter of the first service data. And indicating the analysis parameters to be used for identifying whether the analysis result of the first service data is periodically sent. For example, in conjunction with fig. 5, the obtaining unit 502 may be configured to perform S304.

A generating unit 503, configured to generate a request analysis message according to the first analysis instruction, the second analysis instruction, and the instruction analysis parameter. The request analysis message is used for requesting the NWDAF device to analyze the plurality of service data and sending an analysis result of the plurality of service data to the service consumer device. For example, in conjunction with fig. 5, the generating unit 503 may be configured to perform S305.

A sending unit 504, configured to send a request analysis message to the NWDAF device. For example, in conjunction with fig. 5, the sending unit 504 may be configured to perform S306.

In the case of implementing the functions of the integrated modules in the form of hardware, the embodiment of the present invention provides a schematic diagram of a possible structure of the NWDAF apparatus in the above embodiment. As shown in fig. 14, the NWDAF device 60 includes a processor 601, a memory 602, and a bus 603. The processor 601 and the memory 602 may be connected by a bus 603.

The processor 601 is a control center of the communication apparatus, and may be a single processor or a collective term for a plurality of processing elements. For example, the processor 601 may be a Central Processing Unit (CPU), other general-purpose processors, or the like. Wherein a general purpose processor may be a microprocessor or any conventional processor or the like.

For one embodiment, processor 601 may include one or more CPUs, such as CPU 0 and CPU 1 shown in FIG. 14.

The memory 602 may be, but is not limited to, a read-only memory (ROM) or other type of static storage device that may store static information and instructions, a Random Access Memory (RAM) or other type of dynamic storage device that may store information and instructions, an electrically erasable programmable read-only memory (EEPROM), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.

As a possible implementation, the memory 602 may be present separately from the processor 601, and the memory 602 may be connected to the processor 601 via a bus 603 for storing instructions or program code. The processor 601, when calling and executing instructions or program code stored in the memory 602, can implement the sensor determination method provided by the embodiments of the present invention.

In another possible implementation, the memory 602 may also be integrated with the processor 601.

The bus 603 may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in FIG. 14, but this is not intended to represent only one bus or type of bus.

It is noted that the configuration shown in fig. 14 does not constitute a limitation on the NWDAF apparatus 60. In addition to the components shown in FIG. 14, the NWDAF device 60 may include more or fewer components than shown, or some components may be combined, or a different arrangement of components.

As an example, in conjunction with fig. 12, the functions implemented by the determination unit 402 and the analysis unit 403 in the data analysis apparatus 40 are the same as those of the processor 601 in fig. 14.

Optionally, the NWDAF apparatus 60 provided by the embodiment of the present invention may further include a communication interface 604.

A communication interface 604 for connecting with other devices via a communication network. The communication network may be an ethernet network, a radio access network, a Wireless Local Area Network (WLAN), etc. The communication interface 604 may include a receiving unit for receiving data and a transmitting unit for transmitting data.

In one design, the NWDAF apparatus provided in this embodiment of the present invention may further include a communication interface integrated in the processor.

FIG. 15 illustrates another hardware configuration of an NWDAF device in an embodiment of the present invention. As shown in fig. 15, the NWDAF device 70 may include a processor 701 and a communication interface 702. The processor 701 is coupled to a communication interface 702.

The functions of the processor 701 may refer to the description of the processor 601 above. The processor 701 also has a memory function, and the function of the memory 602 can be referred to.

The communication interface 702 is used to provide data to the processor 701. The communication interface 702 may be an internal interface of the communication device or an external interface of the communication device.

It should be noted that the configuration shown in FIG. 15 does not constitute a limitation on the NWDAF device 70, and that the NWDAF device 70 may include more or fewer components than shown, or some components in combination, or a different arrangement of components than those shown in FIG. 15.

Meanwhile, the schematic diagram of the hardware structure of the service consumer device provided in the embodiment of the present invention may also refer to the description of the NWDAF device in fig. 14 or fig. 15, which is not described herein again.

Through the above description of the embodiments, it is clear for a person skilled in the art that, for convenience and simplicity of description, only the division of the above functional units is illustrated. In practical applications, the above function allocation can be performed by different functional units according to needs, that is, the internal structure of the device is divided into different functional units to perform all or part of the above described functions. For the specific working processes of the system, the apparatus and the unit described above, reference may be made to the corresponding processes in the foregoing method embodiments, and details are not described here again.

The embodiment of the present invention further provides a computer-readable storage medium, where instructions are stored in the computer-readable storage medium, and when the instructions are executed by a computer, the computer executes each step in the method flow shown in the above method embodiment.

Embodiments of the present invention further provide a computer program product including instructions, which when executed on a computer, cause the computer to execute the data analysis method in the above method embodiments.

The computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, and a hard disk. Random Access Memory (RAM), Read-Only Memory (ROM), Erasable Programmable Read-Only Memory (EPROM), registers, a hard disk, an optical fiber, a portable Compact disk Read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any other form of computer-readable storage medium, in any suitable combination, or as appropriate in the art. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. Of course, the storage medium may also be integral to the processor. The processor and the storage medium may reside in an Application Specific Integrated Circuit (ASIC). In embodiments of the invention, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.

Since the server, the user equipment, the computer-readable storage medium, and the computer program product in the embodiments of the present invention may be applied to the method described above, the technical effects obtained by the embodiments of the method may also refer to the embodiments of the method described above, and no further description is given to the embodiments of the present invention.

The above description is only an embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions within the technical scope of the present invention are intended to be covered by the scope of the present invention.

Claims

1. A data analysis method applied to a network data analysis function NWDAF device, the method comprising:

the NWDAF equipment receives a request analysis message sent by service consumer equipment; the request analysis message is used for requesting the NWDAF device to analyze a plurality of service data and sending an analysis result of the plurality of service data to the service consumer device;

in a case that the request analysis message includes a first analysis indication and a second analysis indication, the NWDAF device determining whether an indication analysis parameter of a first traffic data of the plurality of traffic data is further included in the request analysis message; the first analysis instruction is used for instructing the NWDAF device to analyze the plurality of service data according to a first analysis duration and periodically sending an analysis result of the plurality of service data to the service consumer device; the second analysis instruction is used for instructing the NWDAF device to analyze the first service data according to a second analysis duration and sending an analysis result of the first service data to the service consumer device; the indication analysis parameter is used for identifying whether the analysis result of the first service data is periodically sent; the first service data is any one of the plurality of service data;

if the request analysis message further includes the indication analysis parameter, the NWDAF device analyzes the first service data according to the second analysis duration, and sends an analysis result of the first service data to the service consumer device according to the indication analysis parameter.

2. The data analysis method of claim 1, wherein after the NWDAF device determines whether the request analysis message further includes an indication analysis parameter for a first traffic data of the plurality of traffic data, the method further comprises:

if the request analysis message further includes the indication analysis parameter, the NWDAF device analyzes second service data according to the first analysis duration, and periodically sends an analysis result of the second service data to the service consumer device; the second service data is service data of the plurality of service data except the first service data.

3. The data analysis method of claim 1 or 2, wherein the method further comprises:

under the condition that the request analysis message includes the first analysis instruction and the second analysis instruction, if the request analysis message does not include the indication analysis parameter, the NWDAF device analyzes the plurality of service data according to the first analysis duration, and periodically sends an analysis result of the plurality of service data to the service consumer device.

4. A method of data analysis for use in a service consumer device, the method comprising:

determining that the analysis indication of the plurality of business data to be analyzed comprises a first analysis indication and a second analysis indication; the first analysis instruction is used for instructing a network data analysis function (NWDAF) device to analyze the plurality of service data according to a first analysis duration and periodically sending an analysis result of the plurality of service data to the service consumer device; the second analysis instruction is used for instructing the NWDAF device to analyze a first service data of the plurality of service data according to a second analysis duration and sending an analysis result of the first service data to the service consumer device; the first service data is any one of the plurality of service data;

acquiring an indication analysis parameter of the first service data, and generating a request analysis message according to the first analysis indication, the second analysis indication and the indication analysis parameter; the indication analysis parameter is used for identifying whether the analysis result of the first service data is periodically sent; the request analysis message is used for requesting the NWDAF device to analyze the plurality of business data and sending an analysis result of the plurality of business data to the service consumer device;

transmitting the request analysis message to the NWDAF device.

5. A data analysis apparatus, applied to a network data analysis function NWDAF device, the apparatus comprising: the device comprises a receiving unit, a judging unit, an analyzing unit and a sending unit;

the receiving unit is used for the NWDAF equipment to receive a request analysis message sent by service consumer equipment; the request analysis message is used for requesting the NWDAF device to analyze a plurality of service data and sending an analysis result of the plurality of service data to the service consumer device;

the determining unit is configured to, when the request analysis message includes a first analysis instruction and a second analysis instruction, determine, by the NWDAF device, whether an instruction analysis parameter of a first service data in the plurality of service data is further included in the request analysis message; the first analysis instruction is used for instructing the NWDAF device to analyze the plurality of service data according to a first analysis duration and periodically sending an analysis result of the plurality of service data to the service consumer device; the second analysis instruction is used for instructing the NWDAF device to analyze the first service data according to a second analysis duration and sending an analysis result of the first service data to the service consumer device; the indication analysis parameter is used for identifying whether the analysis result of the first service data is periodically sent; the first service data is any one of the plurality of service data;

the analysis unit is configured to, if the request analysis message further includes the indication analysis parameter, analyze, by the NWDAF device, the first service data according to the second analysis duration;

the sending unit is configured to send an analysis result of the first service data to the service consumer device according to the indication analysis parameter.

6. The data analysis apparatus of claim 5, wherein the sending unit is further configured to, after the NWDAF device determines whether the request analysis message further includes an indication analysis parameter of a first service data in the plurality of service data, if the request analysis message further includes the indication analysis parameter, the NWDAF device analyzes a second service data according to the first analysis duration, and periodically sends an analysis result of the second service data to the service consumer device; the second service data is service data of the plurality of service data except the first service data.

7. The data analysis apparatus as claimed in claim 5 or 6, wherein the sending unit is further configured to, if the request analysis message includes the first analysis indication and the second analysis indication, if the request analysis message does not include the indication analysis parameter, the NWDAF device analyzes the plurality of traffic data according to the first analysis duration, and periodically sends an analysis result of the plurality of traffic data to the service consumer device.

8. A data analysis apparatus for use in servicing consumer devices, the apparatus comprising: the device comprises a determining unit, an acquiring unit, a generating unit and a sending unit;

the determining unit is configured to determine that the analysis indication of the plurality of service data to be analyzed includes a first analysis indication and a second analysis indication; the first analysis instruction is used for instructing a network data analysis function (NWDAF) device to analyze the plurality of service data according to a first analysis duration and periodically sending an analysis result of the plurality of service data to the service consumer device; the second analysis instruction is used for instructing the NWDAF device to analyze a first service data of the plurality of service data according to a second analysis duration and sending an analysis result of the first service data to the service consumer device; the first service data is any one of the plurality of service data;

the acquiring unit is used for acquiring an indication analysis parameter of the first service data; the indication analysis parameter is used for identifying whether the analysis result of the first service data is periodically sent;

the generating unit is configured to generate a request analysis message according to the first analysis instruction, the second analysis instruction, and the instruction analysis parameter; the request analysis message is used for requesting the NWDAF device to analyze the plurality of business data and sending an analysis result of the plurality of business data to the service consumer device;

the sending unit is configured to send the request analysis message to the NWDAF device.

9. A computer-readable storage medium having stored therein instructions that, when executed, implement the data analysis method of any one of claims 1 to 3 or claim 4.

10. A network data analysis function, NWDAF, apparatus, comprising: a processor, a memory, and a communication interface; the communication interface is used for communication between the communication device and other equipment or networks; the memory to store one or more programs, the one or more programs including computer-executable instructions, which when executed by the NWDAF apparatus, by the processor to cause the NWDAF apparatus to perform the data analysis method of any one of claims 1 to 3.

11. A service consumer device, comprising: a processor, a memory, and a communication interface; wherein, the communication interface is used for the communication device to communicate with other equipment or networks; the memory is configured to store one or more programs, the one or more programs including computer executable instructions, which when executed by the service consumer device, cause the service consumer device to perform the data analysis method of claim 4.