CN114302430B - Data analysis method, device, storage medium and equipment - Google Patents

Data analysis method, device, storage medium and equipment Download PDF

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CN114302430B
CN114302430B CN202111617084.XA CN202111617084A CN114302430B CN 114302430 B CN114302430 B CN 114302430B CN 202111617084 A CN202111617084 A CN 202111617084A CN 114302430 B CN114302430 B CN 114302430B
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analysis
service data
service
nwdaf
data
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CN114302430A (en
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任驰
马泽芳
马瑞涛
邢天齐
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China United Network Communications Group Co Ltd
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China United Network Communications Group Co Ltd
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Abstract

The invention discloses a data analysis method, a device, a storage medium and equipment, relates to the field of data communication, and aims to solve the technical problem of how to ensure that specific business data are successfully analyzed and report analysis results of the specific business data to service consumer equipment. The method comprises the following steps: the NWDAF device receives a request analysis message sent by the service consumer device; in the case that the request analysis message includes a first analysis instruction and a second analysis instruction, the NWDAF device determines whether the request analysis message further includes an instruction analysis parameter of first service data in the plurality of service data; the indication analysis parameter is used for identifying whether to periodically send an analysis result of the first service data; if the request analysis message further comprises 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.

Description

Data analysis method, device, storage medium and equipment
Technical Field
The present invention relates to the field of data communications, and in particular, to a data analysis method, apparatus, storage medium, and device.
Background
Within the framework of the fifth generation mobile communication technology (5th generation mobile communication technology,5G) network, a network data analysis function (network data analytics function, NWDAF) device is defined, and the NWDAF device 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 (artificial intelligence, AI) technology.
Specifically, the 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 indicating the NWDAF equipment to analyze the service data according to the preset analysis duration and periodically or aperiodically feeding back the analysis result of the service data to the service consumer equipment. 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 a first analysis duration and periodically report analysis results of the plurality of service data, and the specific analysis indication is used for indicating the NWDAF device to analyze specific service data according to a second analysis duration and report analysis results of the specific service data.
However, in the case where the analysis request message includes both the global periodic analysis instruction and the specific analysis instruction, the NWDAF device cannot determine how long to analyze the specific service data and how to send the analysis result of the specific service data, which may discard the specific service data, thereby causing failure in service data analysis.
Disclosure of Invention
The invention provides a data analysis method, a device, a storage medium and equipment, which are used for solving the technical problem of how to ensure that specific service data are successfully analyzed and report the analysis result of the specific service data to service consumer equipment.
In order to achieve the above purpose, the invention adopts the following technical scheme:
in a first aspect, a data analysis method is provided, applied to a network data analysis function NWDAF device, and the method includes: the NWDAF device receives 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 the analysis result of the plurality of service data to the service consumer device; in the case that the request analysis message includes a first analysis instruction and a second analysis instruction, the NWDAF device determines whether the request analysis message further includes an instruction analysis parameter of first service data in the plurality of service data; 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 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; the indication analysis parameter is used for identifying whether to periodically send an analysis result of the first service data; the first service data is any service data in a plurality of service data; if the request analysis message further comprises 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.
After NWDAF equipment receives a request analysis message sent by service consumer equipment, if NWDAF equipment determines that the request analysis message simultaneously comprises a first analysis instruction and a second analysis instruction, it is determined whether the request analysis message further comprises an indication analysis parameter for identifying whether to periodically send an analysis result of first service data. If the request analysis message further comprises 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.
Therefore, in the technical scheme of the invention, the indication analysis parameter is added into the request analysis message, so that 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 under the condition that the request analysis message contains the first analysis indication and the second analysis indication, 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, after the NWDAF device determines whether the request analysis message further includes the indicated analysis parameter of the first service data in the plurality of service data, the method further includes: if the request analysis message also comprises the indication analysis 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 other than the first service data among the plurality of service data. In this way, in the case that the request analysis message includes the global periodic analysis instruction and the specific analysis instruction, if the request analysis message also includes the instruction analysis parameter of the first service data, the NWDAF device transmits the second service data according to the first analysis duration, and periodically transmits service data except the first service data in the plurality of service data to the service consumer device. Thus, it is solved how the NWDAF device transmits the analysis result of the plurality of service data to the service consumer device in case of collision between the global periodic analysis indication and the specific analysis indication.
In one possible implementation manner, the method further includes: if the request analysis message does not include the indication analysis parameter under the condition that the request analysis message includes the first analysis indication and the second analysis indication, 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. In this way, in the case that 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 yet, 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. I.e. the NWDAF device ignores the specific analysis indication and does not specifically process the first traffic data. Thus, it is solved how the NWDAF device transmits the analysis result of the plurality of service data to the service consumer device in case of collision between the global periodic analysis indication and the specific analysis indication.
In a second aspect, a data analysis method is provided, applied to a service consumer device, the method comprising: determining that analysis indications of the plurality of business data to be analyzed comprise 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 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 first service data in 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; acquiring indication analysis parameters 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 parameters; the indication analysis parameter is used for identifying whether to periodically send an analysis result of the first service data; the first service data is any service data in 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 the analysis result of the plurality of service data to the service consumer device; a request analysis message is sent to the NWDAF device.
In the technical scheme of the invention, when the analysis instructions of the plurality of service data to be analyzed comprise the first analysis instruction and the second analysis instruction, the service consumer equipment adds the instruction analysis parameter into the request analysis message, so that when the request analysis message comprises the first analysis instruction and the second analysis instruction, the service consumer equipment instructs the NWDAF equipment to send the analysis result of the first service data to the service consumer equipment according to the instruction analysis parameter and the second analysis duration, and the service consumer equipment can ensure that the first service data is successfully analyzed and report the analysis result of the first service data to the service consumer equipment.
In a third aspect, a data analysis apparatus is provided, 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 transmitting 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 the analysis result of the plurality of service data to the service consumer device; a judging unit, configured to, when the request analysis message includes a first analysis instruction and a second analysis instruction, judge, by the NWDAF device, whether the request analysis message further includes an instruction analysis parameter of a first service data of the plurality of service data; 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 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; the indication analysis parameter is used for identifying whether to periodically send an analysis result of the first service data; the first service data is any service data in a plurality of service data; the analysis unit is used for analyzing the first service data according to the second analysis duration by the NWDAF equipment if the request analysis message also comprises the indication analysis parameter; and the sending unit is used for sending the analysis result of the first service data to the service consumer equipment according to the indication analysis parameter.
In one possible implementation manner, the sending unit is further configured to, after the NWDAF device determines whether the request analysis message further includes the indicated analysis parameter of the first service data in the plurality of service data, if the request analysis message further includes the indicated analysis parameter, analyze the second service data by the NWDAF device according to the first analysis duration, and periodically send an analysis result of the second service data to the service consumer device; the second service data is service data other than the first service data among the plurality of service data.
In a possible implementation manner, the sending unit is further configured to, if the request analysis message includes the first analysis indication and the second analysis indication, analyze the plurality of service data according to the first analysis duration if the request analysis message does not include the indication analysis parameter, 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 with a service consumer device, the apparatus comprising: the device comprises a determining unit, an acquiring unit, a generating unit and a transmitting unit; a determining unit configured to determine that analysis instructions of a plurality of business data to be analyzed include a first analysis instruction and a second analysis instruction; the first analysis instruction is used for instructing the 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 first service data in 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 service data in a plurality of service data; the acquisition unit is used for acquiring the indication analysis parameters of the first service data; the indication analysis parameter is used for identifying whether to periodically send an analysis result of the first service data; 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 the analysis result of the plurality of service data to the service consumer device; and the sending unit is used for sending the request analysis message to the NWDAF equipment.
In a fifth aspect, there is provided a computer readable storage medium having instructions stored therein which, when executed, implement the data analysis method of the first or second aspect of the claims.
A sixth aspect provides a network data analysis function NWDAF device, comprising: a processor, a memory, and a communication interface; wherein the communication interface is used for NWDAF equipment and other equipment or network communication; the memory is used to store one or more programs, the one or more programs comprising computer-executable instructions that, when the NWDAF device is running, the processor executes the computer-executable instructions stored by the memory to cause the NWDAF device to perform the data analysis method as in the first aspect.
In a seventh aspect, there is provided a service consumer device comprising: a processor, a memory, and a communication interface; wherein the communication interface is used for serving consumer equipment and other equipment or network communication; the memory is used to store one or more programs, the one or more programs comprising computer-executable instructions that, when executed by the service consumer device, cause the service consumer device to perform the data analysis method as in 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 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 flow chart of a data analysis method according to an embodiment of the present invention;
FIG. 6 is a flowchart of a data analysis method according to an embodiment of the present invention;
FIG. 7 is a flowchart of a data analysis method according to an embodiment of the present invention;
FIG. 8 is a flowchart illustrating a data analysis method according to an embodiment of the present invention;
FIG. 9 is a flow chart of a data analysis method according to an embodiment of the present invention;
FIG. 10 is a flowchart illustrating a data analysis method according to an embodiment of the present invention;
FIG. 11 is a 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 device according to an embodiment of the present invention;
FIG. 13 is a schematic diagram of another data analysis device 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 device according to an embodiment of the present invention.
Detailed Description
Before describing embodiments of the present invention, the terminology involved in the embodiments of the present invention will be explained:
an access and mobility management function (access and mobility management function, AMF) device is a core network control plane network element, and is configured to implement management functions of a control plane such as registration management, connection management, mobility management, and user accessibility management of a user, and management related to authentication and authorization.
Session management function (Session Management Function, SMF) devices, which are core network control plane devices, are mainly responsible for session management related tasks, including establishment, modification, release, etc.
An authentication server function (authentication server function, AUSF) is a core network control plane network element, and is mainly responsible for authentication and authorization of a user to ensure that the user is a legal user.
The network slice selection function (network slice selection function, NSSF) device, being a core network control plane network element, is mainly responsible for selecting a set of network slice instances for a service for a user terminal, determining allowed and configured network slice selection assistance information, determining an AMF set for a service user terminal, etc.
The network exposure function (network exposure function, NEF) device is a core network control plane network element and is mainly responsible for opening the mobile network capability, converting internal and external information and the like.
Network storage function (network repository function, NRF) devices, which are core network control plane network elements, are mainly responsible for dynamic registration of service capabilities of network functions and network function discovery.
An operation and maintenance management system (Operation Administration and Maintenance, OAM) device is mainly responsible for operation, administration, and maintenance of the operator network operations. The operation mainly completes analysis, prediction, planning and configuration work of daily network and business; maintenance is mainly a daily operation activity performed on testing and fault management of a network and services thereof.
An application function (application function, AF) device interacts with the 5G core network to provide services, support application impact on traffic routing, access to the NEF device, interact with policy architecture, etc.
The network data analysis function (network data analytics function, NWDAF) device 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 statistics data obtained from the OAM device, and application data obtained from the AF. The NWDAF device feeds back the analysis result to the NF device, the OAM device or the AF device within a certain analysis period.
Network data analysis function NWDAF architecture:
the third generation partnership project (3rd generation partnership project,3GPP) defines a 5G native big data analysis and AI technology application framework based on a network data analysis function NWDAF in the 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 automatic management, operation and optimization capacity of the 5G network is further improved.
As shown in fig. 1, the NWDAF device may collect network operation data from the core network control plane network function NF, terminal and network related statistics data obtained from the OAM, and application data from the AF device. The NWDAF device feeds back the analysis result to the NF device, the OAM device or the AF device within a certain analysis period. The NWDAF device can also interact with the NRF device to obtain NF device registration information, so as to complete the data access operation.
The NF device may be any instantiated functional network element of the 5G core network control plane functional network elements, for example: an AMF device, an SMF device, an AUSF device, an NSSF device, a NEF device, a unified data management function (unified data management, UDM) device, a policy control function (policy control function, PCF) device in a 5G mobile communication system.
Based on the NWDAF architecture shown in fig. 1, as shown in fig. 2, the NWDAF serves a "near real-time" interaction mechanism between the consumer device and the NWDAF device. I.e. the NWDAF device evaluates and calculates the analysis type (e.g. analysis ID) of the service data inside it, gets the "supported analysis duration" for this analysis type, and registers it as part of the NWDAF device information (NF Profile) in the NRF device. When NWDAF device discovery is performed, NWDAF service consumer device sends NWDAF device discovery request message to NRF device for service data to be analyzed. The NRF returns to the NWDAF service consumer a list comprising a plurality of candidate NWDAF devices, the list further comprising the "supported analysis duration" of each candidate 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 and analysis subscription on the service data sent by the NWDAF service consumer device. The specific flow is as follows:
s101: the NWDAF service consumer device sends a discovery request message. For example: the sending request message may be: nnrf_NFdiscover_request. I.e. the NWDAF service consumer sends a discovery request message to the NRF, the discovery request message carrying the requested analysis ID and the desired analysis duration for the analysis service of the requested analysis ID.
S102: the NRF device determines an NWDAF list. For example: the sending request message may be: authorize NF Service Discovery. I.e. the NRF device will determine a list comprising a plurality of candidate NWDAF devices based on the discovery request message.
S103: the NRF device transmits an NWDAF list. For example: the sending request message may be: nnrf_NFdiscovery_request Response. I.e. the NRF device returns a list comprising a plurality of alternative NWDAF devices to the NWDAF service consumer device, the NWDAF list comprising the analysis duration supported by each alternative NWDAF device. Subsequently, the NWDAF service consumer device selects one NWDAF device as the target NWDAF device.
Illustratively, the NWDAF service consumer device selects one NWDAF device with the smallest analysis duration as the target NWDAF device for the subsequent request analysis. The target NWDAF device can ensure that the NWDAF service consumer device obtains an analysis result of the NWDAF service consumer device requesting to analyze the service data within an analysis duration supported by the target NWDAF device, and 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 by a "time needed to analyze the information" parameter.
Based on the NWDAF device discovery flow shown in fig. 2, when the NWDAF service consumer device requests analysis information from the target NWDAF device, as shown in fig. 3, there is a global periodic analysis indication in the request analysis information. The specific flow is as follows: s104: the NWDAF service consumer device sends request analysis information. For example, the sending request analysis information may be: nnwdaf_analyticinfo_request. I.e. the NWDAF service consumer device sends request analysis information to the target NWDAF device, which request analysis information comprises an analysis ID and a global periodicity analysis indication requested by the NWDAF service consumer device. S105: the NWDAF device periodically transmits the analysis result. For example, the analysis result may be: nnwdaf_Analytics Info_Request Response. I.e. the target NWDAF device indicates the periodic transmission analysis result according to the global periodicity analysis.
The foregoing is a description of some concepts related to the embodiments of the present invention, and is not repeated herein.
In order to be able to obtain the analysis result of the service data, the NWDAF service consumer device sends an analysis request message to the NWDAF device. Wherein, the analysis request message contains the service data and analysis instruction requested by the NWDAF service consumer device. The analysis indication includes a periodicity indication and a reporting period. I.e. analysis indication, indicates an analysis result for the NWDAF device to periodically report traffic data. As such, the analysis indication is a global analysis indication, i.e. the periodic reports indicated in the analysis report information and the reporting period are applicable for all traffic data in the analysis request.
However, when the NWDAF service consumer device sends the NWDAF device an analysis request message that includes both a global periodic analysis instruction applicable to all the service data in the analysis request and a specific analysis instruction for the specific service data, the NWDAF device cannot determine whether to report the analysis result of the specific service data according to the global analysis instruction or the specific analysis instruction for the specific service data. For example, the analysis request includes 10 pieces of service data, the global periodic analysis in the analysis request indicates that the NWDAF device reports the analysis result of 10 pieces of service data every 10 minutes, and the specific analysis indicates that the NWDAF device reports the analysis result of 3 rd piece of service data every 3 minutes.
In this way, the NWDAF device cannot determine whether to report the analysis result of the 3 rd 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 that the NWDAF device periodically reports the analysis result, and the specific analysis indicates that the NWDAF device reports the analysis result of the 3 rd service data at a time. Thus, the NWDAF device cannot determine whether to report the analysis result of the 3 rd service data according to the period or according to a single pair.
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 both the first analysis instruction and the second analysis instruction, it is determined 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. If the request analysis message further comprises 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.
Therefore, in the technical scheme of the invention, the indication analysis parameter is added into the request analysis message, so that 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 under the condition that the request analysis message contains the first analysis indication and the second analysis indication, 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.
The following describes in detail the implementation of the embodiment of the present invention with reference to the drawings.
The system architecture and the service scenario described in the embodiments of the present invention are for more clearly describing the technical solution provided in the embodiments of the present invention, and do not constitute a limitation on the technical solution provided in the embodiments of the present invention, and those skilled in the art can know that, with the evolution of the network architecture and the appearance of a new service scenario, the technical solution provided in the embodiments of the present invention is equally applicable to similar technical problems.
Fig. 4 is a schematic architecture diagram of a data analysis system 20 to which an embodiment of the present invention applies. As shown in fig. 4, the data analysis system 20 may include an NWDAF device 201, a service consumer device 202.NWDAF device 201 is connected to service consumer device 202. The NWDAF device 201 and the service consumer device 202 may be connected in a wired manner or may be connected in a wireless manner, which is not limited in the embodiment of the present invention.
NWDAF device 201 receives the analysis request information sent by service consumer device 202 and analyzes the service data sent by service consumer device 202 according to the analysis request message. Finally NWDAF device 201 sends the analysis result.
The service consumer device 202 generates an indication analysis parameter for a first one of the plurality of service data upon determining that the pre-sent analysis request information includes the global analysis indication and the specific analysis indication. The indication analysis parameter is used to identify whether to periodically send the analysis result of the first service data.
In order to clearly describe the technical solution of the embodiments of the present invention, in the embodiments of the present invention, the words "first", "second", etc. are used to distinguish the same item or similar items having substantially the same function and effect. For example, the first filtering policy and the second filtering policy are merely for distinguishing different indication information, and are not limited in order. It will be appreciated by those of skill in the art that the words "first," "second," and the like do not limit the amount and order of execution, and that the words "first," "second," and the like do not necessarily differ.
In the present invention, the words "exemplary" or "such as" are used to mean serving as an example, instance, or illustration. Any embodiment or design described herein as "exemplary" or "for example" should not be construed as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary" or "such as" is intended to present related concepts in a concrete fashion.
In the present invention, "at least one" means one or more, and "a plurality" means two or more. "and/or", describes an association relationship of an association object, and indicates that there may be three relationships, for example, a and/or B, and may indicate: a alone, a and B together, and B alone, wherein a, B may be singular or plural. The character "/" generally indicates that the context-dependent object is an "or" relationship. "at least one of" or the like means any combination of these items, including any combination of single item(s) or plural items(s). 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 plural.
The following describes a data analysis method provided by the embodiment of the present invention with reference to the data analysis system shown in fig. 1. In which the terms and the like related to the actions of the embodiments of the present invention are mutually referred to, without limitation. The message names of interactions between the devices or parameter names in the messages in the embodiments of the present invention are just an example, and other names may be used in specific implementations without limitation. The actions involved in the embodiments of the present invention are just an example, and other names may be adopted in the specific implementation, for example: the "included" in the embodiments of the present invention may be replaced by "carried on" or the like.
Fig. 5 is a schematic diagram of a data analysis method according to an embodiment of the present invention, where the data analysis method is applied to the data analysis system described above, and as shown in fig. 5, the method includes the following steps S301-S306.
S301, the service consumer equipment acquires analysis instructions of a plurality of business data to be analyzed.
The service data may be an analysis ID. The service consumer device is an NWDAF service consumer device.
Wherein the analysis indication may be a global periodic analysis indication or a specific analysis indication as referred to in the above embodiments.
In a possible implementation manner, the service consumer device generates an analysis indication of the service data according to the requirement of the service data, and further obtains the analysis indication of the service data.
Illustratively, the service consumer device obtains an analysis indication of the 5 analytical IDs to be analyzed.
S302, the service consumer equipment judges whether analysis instructions of a plurality of business data to be analyzed comprise a first analysis instruction and a second analysis instruction.
The NWDAF device is used for analyzing the service data according to the first analysis duration and periodically sending analysis results of the service data to the service consumer device; the second analysis instruction is used for instructing the NWDAF device to analyze 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 service data in a plurality of service data.
It will be appreciated that the first analysis indication may be a global analysis indication as in the above embodiments. The second analysis indication may be a specific analysis indication in the above embodiments.
S303, the service consumer equipment determines that analysis instructions of the plurality of service data to be analyzed comprise a first analysis instruction and a second analysis instruction.
It will be appreciated that in this step the service consumer device determines that two analysis indications for a certain service data are present.
S304, the service consumer equipment acquires the indication analysis parameters of the first service data.
The indication analysis parameter is used for identifying whether to periodically send the analysis result of the first service data.
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 service data may indicate an NWDAF device to send the analysis result of the first service data once. Or the analysis instruction corresponding to the first service data may further instruct the NWDAF device to periodically send the analysis result of the first service data.
Specifically, if the service consumer device needs to obtain the analysis result of the specific service data of the first service data once, the analysis parameter is indicated to be a single analysis report parameter. And if the service consumer equipment needs to periodically acquire the analysis result of the first service data, indicating the analysis parameter as a periodic analysis report parameter.
S305, the service consumer equipment generates a request analysis message according to the first analysis instruction, the second analysis instruction and the instruction analysis parameter.
The NWDAF device is configured to analyze the plurality of service data and send an analysis result of the plurality of service data to the service consumer device.
In one possible implementation, the service consumer device generates the request analysis message based on the plurality of traffic data, the first analysis indication, the first traffic 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 instruction 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 may be further classified into periodically receiving an event 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 the NWDAF service consumer device with the analysis request service, the NWDAF device may perform evaluation and calculation for the specific analysis type of network function sent by the NWDAF service consumer device, and feedback the corresponding analysis result in a certain analysis duration.
S306, the service consumer device sends a request analysis message to the NWDAF device.
The NWDAF device is configured to analyze the plurality of service data and send an analysis result of the plurality of service data to the service consumer 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 S307-S311.
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 a first analysis instruction and a second analysis instruction.
The NWDAF device is used for analyzing the service data according to the first analysis duration and periodically sending analysis results of the 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, in the case where 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 of the plurality of service data.
The indication analysis parameter is used for identifying whether to periodically send the analysis result of the first 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 judges that the request analysis message contains the indication analysis parameter of the first service data.
S310, 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.
In a possible implementation manner, the NWDAF device analyzes the first service data according to the second analysis duration in a case that it is determined that the request analysis message further includes an indication analysis parameter.
It may be appreciated that, in the case where the NWDAF device determines that the indication analysis parameter for identifying whether the analysis result of the first service data is periodically transmitted is also present in the request analysis message, the NWDAF device determines that the second analysis indication is effective, and further analyzes the first service data according to the second analysis duration in the second analysis indication.
And S311, the NWDAF equipment sends an analysis result of the first service data to the service consumer equipment according to the indication analysis parameter.
In a possible implementation manner, the NWDAF device identifies the indication analysis parameter, and further sends the analysis result of the first service data to the service consumer device according to the result of the indication analysis parameter.
In an exemplary case, where the NWDAF device identifies that the analysis parameter is a single analysis report parameter, the NWDAF device performs a single uploading of the analysis result for the first service data of the service data, and after uploading the single analysis result, the NWDAF device does not upload the analysis result for the first service data to the NWDAF service consumer any more unless the NWDAF service consumer issues a request analysis or subscription message for the first service data again. And when the NWDAF equipment identifies that the analysis parameter is the periodic analysis report parameter, the NWDAF equipment 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.
After NWDAF equipment receives a request analysis message sent by service consumer equipment, if NWDAF equipment determines that the request analysis message simultaneously comprises a first analysis instruction and a second analysis instruction, it is determined whether the request analysis message further comprises an indication analysis parameter for identifying whether to periodically send an analysis result of first service data. If the request analysis message further comprises 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.
Therefore, in the technical scheme of the invention, the indication analysis parameter is added into the request analysis message, so that 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 under the condition that the request analysis message contains the first analysis indication and the second analysis indication, 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 design, in case that the first analysis instruction and the second analysis instruction collide, how the NWDAF device processes the plurality of service data, as shown in fig. 7, the data analysis method provided in the embodiment of the present invention further includes the following steps S312-S313 after the NWDAF device determines whether the request analysis message further includes the instruction analysis parameter of the first service data in the plurality of service data.
S312, if the request analysis message also 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 except the first service data in the plurality of service data.
S313, the NWDAF device periodically sends the analysis result of the second service data to the service consumer device.
It may be appreciated that, after the NWDAF device periodically further includes the indication analysis parameter in the request analysis message, the NWDAF device analyzes and reports the analysis result of the first service data according to the second analysis duration of the first service data and the indication analysis parameter. 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, if the request analysis message includes the first analysis instruction and the second analysis instruction and the request analysis message does not include the instruction analysis parameter, how the NWDAF device analyzes the plurality of service data and reports the analysis result of the plurality of service data, as shown in fig. 8, the data analysis method provided in the embodiment of the present invention further includes the following steps S314-S315.
S314, if 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.
S315, the NWDAF device periodically transmits the analysis result 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 parameter is not included in the request analysis message, the NWDAF device considers the second analysis indication in the request analysis message as an abnormal indication and ignores the second analysis indication. And the NWDAF equipment analyzes all the service data according to the first analysis instruction and periodically reports the analysis result 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 the following steps S316-S317.
S316, the NWDAF device analyzes a plurality of service data according to a preset analysis duration under the condition that the request analysis message does not comprise the first analysis instruction and the second analysis instruction.
It should be noted that, the preset analysis duration is the analysis duration "supported" by the NWDAF device in the foregoing embodiment.
S317, the NWDAF device sends the analysis result of the plurality of service data to the service consumer device.
It can be appreciated that in the case where the NWDAF device periodically determines that the global periodicity analysis indication and the specific analysis indication are not included in the request analysis message, the NWDAF device analyzes a plurality of service data according to a preset analysis duration and transmits an 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 the 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 instruction and does not include the second analysis instruction.
S319, the NWDAF device periodically transmits the analysis result of the plurality of service data to the service consumer device.
It may be appreciated that in the 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 the analysis result of the plurality of service data.
More specifically, a flow diagram of another embodiment of a data analysis method as shown in fig. 11 may be used to describe the method of fig. 6-10 in its entirety. The NWDAF device receives a request analysis message of the NWDAF service consumer device, and determines whether the request analysis message includes a first analysis indication message. If not, the NWDAF device reports the analysis information to all the business data for a single time according to the preset analysis time length. If so, the NWDAF device further determines whether the request analysis message includes a second analysis indication message. 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 determines to further determine whether the request analysis message includes an indication analysis parameter. If not, the NWDAF device ignores the second analysis indication message, and periodically reports the analysis results of all the service data according to the first analysis indication message. If yes, the NWDAF equipment identifies the value of the analysis report mode parameter, and then determines the analysis report mode according to the value of the analysis report mode parameter. In the case that the analysis report mode is a single analysis report, the NWDAF device performs uploading of the single analysis report for the first service data, and after uploading the single analysis report, the NWDAF service consumer device does not upload the analysis report for the first service data any more unless the NWDAF service consumer device issues a request analysis message for the first service data again. And when the analysis report mode is a periodic analysis report, the NWDAF device sets the reporting period of the first service data to be a second analysis duration of the first service data, and periodically transmits an analysis result of the first service data.
The foregoing description of the solution provided by the embodiments of the present invention has been mainly presented in terms of a method. To achieve the above functions, it includes corresponding hardware structures and/or software modules that perform 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 implemented as hardware or computer software driven 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 embodiments of the present invention.
Fig. 12 is a schematic structural diagram of a data analysis device 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. Comprising 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 transmitting 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 used to perform S307.
A determining unit 402, configured to determine, in a case where the request analysis message includes the first analysis instruction and the second analysis instruction, whether the request analysis message further includes an instruction analysis parameter of the first service data of the plurality of service data. 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 transmitting the 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. The indication analysis parameter is used to identify whether to periodically send the analysis result of the first service data. For example, in connection with fig. 6, the judging unit 402 may be used to perform S308.
An analyzing unit 403, configured to, if the request analysis message further includes an indication analysis parameter, analyze the first service data according to the second analysis duration by the NWDAF device. For example, in connection with fig. 6, the analysis unit 403 may be used to perform S310.
And a sending unit 404, configured to send the analysis result of the first service data to the service consumer device according to the indication analysis parameter. For example, in connection with fig. 6, the transmitting unit 404 may be used 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 the indicated analysis parameter of the first service data in the plurality of service data, if the request analysis message further includes the indicated analysis parameter, analyze the second service data according to the first analysis duration by the NWDAF device, and periodically send an analysis result of the second service data to the service consumer device. The second service data is service data other than the first service data among the plurality of service data. For example, in connection with fig. 7, the transmitting unit 404 may be used to perform S312-S313.
Optionally, as shown in fig. 12, the sending unit 404 is further configured to, if 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 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 transmitting unit 404 may be used to perform S314-S315.
Fig. 13 is a schematic structural diagram of another data analysis device 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. Comprising the following steps: a determining unit 501, an acquiring unit 502, a generating unit 503, and a transmitting unit 504.
The determining unit 501 is configured to determine that analysis instructions of a plurality of service data to be analyzed include a first analysis instruction and a second analysis instruction. 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 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 connection with fig. 5, the determining unit 501 may be used to perform S303.
An obtaining unit 502, configured to obtain an indication analysis parameter of the first service data. The indication analysis parameter is used to identify whether to periodically send the analysis result of the first service data. For example, in connection with fig. 5, the acquisition unit 502 may be used 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 transmitting an analysis result of the plurality of service data to the service consumer device. For example, in connection with fig. 5, the generating unit 503 may be used to perform S305.
A sending unit 504, configured to send a request analysis message to the NWDAF device. For example, in connection with fig. 5, the transmitting unit 504 may be used to perform S306.
In the case of implementing the functions of the integrated modules described above in the form of hardware, an embodiment of the present invention provides a possible structural schematic diagram of the NWDAF device referred to 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 device, and may be one processor or a collective term of a plurality of processing elements. For example, the processor 601 may be a general-purpose central processing unit (central processing unit, CPU), or may be another general-purpose processor. Wherein the general purpose processor may be a microprocessor or any conventional processor or the like.
As one example, 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 can store static information and instructions, a random access memory (random access memory, RAM) or other type of dynamic storage device that can store information and instructions, or an electrically erasable programmable read-only memory (EEPROM), magnetic disk storage 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 exist separately from the processor 601, and the memory 602 may be connected to the processor 601 through the bus 603 for storing instructions or program codes. The processor 601, when calling and executing instructions or program code stored in the memory 602, is capable of implementing the sensor determination method provided by the embodiment of the present invention.
In another possible implementation, the memory 602 may also be integrated with the processor 601.
Bus 603 may be an industry standard architecture (Industry Standard Architecture, ISA) bus, a peripheral component interconnect (Peripheral Component Interconnect, PCI) bus, or an extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus, among others. The bus may be classified as an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in fig. 14, but not only one bus or one type of bus.
It should be noted that the structure shown in fig. 14 does not constitute a limitation of the NWDAF device 60. In addition to the components shown in fig. 14, the NWDAF device 60 may include more or fewer components than shown, or may combine certain components, or a different arrangement of components.
As an example, in connection with fig. 12, the judging unit 402 and the analyzing unit 403 in the data analyzing apparatus 40 realize the same functions as those of the processor 601 in fig. 14.
Optionally, NWDAF device 60 provided by an embodiment of the present invention may further include a communication interface 604.
Communication interface 604 for connecting with other devices via a communication network. The communication network may be an ethernet, a radio access network, a wireless local area network (wireless local area networks, 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 device provided by the embodiment of the present invention may further include a communication interface integrated in the processor.
Fig. 15 shows another hardware structure of the NWDAF device in the embodiment of the present invention. As shown in fig. 15, NWDAF device 70 may include a processor 701 and a communication interface 702. The processor 701 is coupled to a communication interface 702.
The function of the processor 701 may be as described above with reference to the processor 601. 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 structure shown in fig. 15 does not constitute a limitation of NWDAF device 70, and that NWDAF device 70 may include more or less components than shown in fig. 15, or may combine certain components, or a different arrangement of components.
Meanwhile, the hardware structure schematic of the service consumer device provided in the embodiment of the present invention may refer to the description of the NWDAF device in fig. 14 or fig. 15, which is not described herein again.
From the above description of embodiments, it will be apparent to those skilled in the art that the foregoing functional unit divisions are merely illustrative for convenience and brevity of description. In practical applications, the above-mentioned function allocation may be performed by different functional units, i.e. the internal structure of the device is divided into different functional units, as needed, to perform all or part of the functions described above. The specific working processes of the above-described systems, devices and units may refer to the corresponding processes in the foregoing method embodiments, which are not described herein.
The embodiment of the invention also provides a computer readable storage medium, wherein the computer readable storage medium stores instructions, when the computer executes the instructions, the computer executes each step in the method flow shown in the method embodiment.
The embodiment of the invention also provides a computer program product containing instructions, which when run on a computer, cause the computer to execute the data analysis method in the method embodiment.
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 a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: electrical connections having one or more wires, portable computer diskette, hard disk. Random access Memory (Random Access Memory, RAM), read-Only Memory (ROM), erasable programmable Read-Only Memory (Erasable Programmable Read Only Memory, EPROM), registers, hard disk, optical fiber, portable compact disc Read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any other form of computer-readable storage medium suitable for use by a person or persons of skill 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. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an application specific integrated circuit (Application Specific Integrated Circuit, ASIC). In embodiments of the present 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 can be applied to the above-mentioned method, the technical effects that can be obtained by the method can also refer to the above-mentioned method embodiments, and the embodiments of the present invention are not described herein again.
The present invention is not limited to the above embodiments, and any changes or substitutions within the technical scope of the present invention should be covered by the scope of the present invention.

Claims (11)

1. A data analysis method, applied to a network data analysis function NWDAF device, the method comprising:
the NWDAF device receives a request analysis message sent by a service consumer device; 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 the case that the request analysis message includes a first analysis instruction and a second analysis instruction, the NWDAF device determines whether the request analysis message further includes an instruction analysis parameter of a first service data of the plurality of service data; 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 to periodically send an analysis result of the first service data; the first service data is any service data in the plurality of service data;
And if the request analysis message further comprises 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 according to claim 1, wherein after the NWDAF device determines whether the indicated analysis parameter of the first service data of the plurality of service data is further included in the request analysis message, 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 other than the first service data in the plurality of service data.
3. The data analysis method according to claim 1 or 2, characterized in that the method further comprises:
and if the request analysis message does not include the indication analysis parameter in the request analysis message, 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 application to a service consumer device, the method comprising:
determining that analysis indications of the plurality of business data to be analyzed comprise 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 first service data in 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 service data in the plurality of service data;
acquiring indication analysis parameters of the first service data, and generating request analysis information according to the first analysis indication, the second analysis indication and the indication analysis parameters; the indication analysis parameter is used for identifying whether to periodically send an analysis result of the first 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;
And sending the request analysis message to the NWDAF device.
5. A data analysis device, characterized in that it is applied to a network data analysis function NWDAF apparatus, said device comprising: the device comprises a receiving unit, a judging unit, an analyzing unit and a transmitting unit;
the receiving unit is configured to receive, by using the 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 a plurality of service data and sending an analysis result of the plurality of service data to the service consumer device;
the judging unit is configured to, when the request analysis message includes a first analysis instruction and a second analysis instruction, judge, by the NWDAF device, whether the request analysis message further includes an instruction analysis parameter of a first service data of the plurality of service data; 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 to periodically send an analysis result of the first service data; the first service data is any service data in the plurality of service data;
The analysis unit is configured to, if the request analysis message further includes the indicated analysis parameter, analyze the first service data by the NWDAF device according to the second analysis duration;
and the sending unit is used for sending the analysis result of the first service data to the service consumer equipment according to the indication analysis parameter.
6. The data analysis apparatus according to claim 5, wherein the sending unit is further configured to, after the NWDAF device determines whether the request analysis message further includes the indicated analysis parameter of the first service data in the plurality of service data, if the request analysis message further includes the indicated analysis parameter, analyze second service data according to the first analysis duration by the NWDAF device, and periodically send an analysis result of the second service data to the service consumer device; the second service data is service data other than the first service data in the plurality of service data.
7. The data analysis apparatus according to claim 5 or 6, wherein the sending unit is further configured to, in a case where 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 the plurality of service data according to the first analysis duration by the NWDAF device, and periodically send an analysis result of the plurality of service data to the service consumer device.
8. A data analysis apparatus for use with a service consumer device, the apparatus comprising: the device comprises a determining unit, an acquiring unit, a generating unit and a transmitting unit;
the determining unit is used for determining that 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 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 first service data in 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 service data in the plurality of service data;
the acquisition unit is used for acquiring the indication analysis parameters of the first service data; the indication analysis parameter is used for identifying whether to periodically send an analysis result of the first service data;
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;
And the sending unit is used for sending the request analysis message to the NWDAF device.
9. A computer readable storage medium having instructions stored therein which, 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 device, comprising: a processor, a memory, and a communication interface; wherein the communication interface is used for the NWDAF device to communicate with other devices or networks; the memory is configured to store one or more programs, the one or more programs comprising computer-executable instructions that, when the NWDAF device is operated, a processor executes the computer-executable instructions stored by the memory to cause the NWDAF device to perform the data analysis method as claimed in 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 for the service consumer device to communicate with other devices or networks; the memory is configured to store one or more programs, the one or more programs comprising computer-executable instructions that, when executed by the service consumer device, cause the service consumer device to perform the data analysis method of claim 4.
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