Data acquisition method and system, managing data analysis service apparatus, and storage medium

Abstract

This disclosure relates to a data acquisition method and system, a management data analysis service device, and a storage medium. The data acquisition method includes: a management data analysis service device within an operation, management, and maintenance system receiving a data collection request from a management service consumer; the management data analysis service device collecting relevant data within the operation, management, and maintenance system according to the data collection request; and the management data analysis service device summarizing the collected data and providing it to the management service consumer. In this disclosure, the management service consumer can obtain data from the operation, management, and maintenance system through the management data analysis service device.

Description

Technical Field

[0001] This disclosure relates to the field of mobile communications, and in particular to a data acquisition method and system, a data analysis service management device, and a storage medium. Background Technology

[0002] In the related technology OAM (Operations, Administration and Maintenance) system, data related to the attributes and status of MO (Managed Object) are stored in the MIB (Management Information Base) as MO Attributes. Since the nWDAF (Network Data Analytics Function) is not a management service module in OAM, it lacks the hierarchical architecture information of the various MOC (Managed Object Classes) stored in the MIB. Strictly speaking, it also lacks MOC information. Therefore, although in principle, the NWDAF can act as a Consumer of the MnS (Management Service) in OAM to obtain MnS output, because MnS by default allows returning hierarchical output results with a container structure, and the NWDAF does not have the ability to interpret such results, in practice, the NWDAF is only allowed to use a limited number of MnS such as PM (Performance Management) and FM (Fault Management), and these MnS cannot provide data related to MO Attributes. In other words, the related technology nWDAF cannot directly obtain information related to MO attributes and status from OAM. Summary of the Invention

[0003] In view of at least one of the above technical problems, this disclosure provides a data acquisition method and system, a management data analysis service device and a storage medium, which allows management service consumers to acquire data from an operation, management and maintenance system through the management data analysis service device.

[0004] According to one aspect of this disclosure, a data acquisition method is provided, comprising:

[0005] The management data analysis service device within the operation, management, and maintenance system receives data collection requests from management service consumers;

[0006] The management data analysis service device collects relevant data from the operation, management, and maintenance system based on the data collection request;

[0007] The management data analysis service device will collect and summarize the data and then provide it to management service consumers.

[0008] In some embodiments of this disclosure, the data collection request includes a field of interest.

[0009] In some embodiments of this disclosure, the management data analysis service device collects relevant data within the operation, management, and maintenance system according to the data collection request, including:

[0010] The management data analysis service device processes information in areas of interest and obtains data by querying object attribute values ​​in the management service.

[0011] In some embodiments of this disclosure, the management data analysis service device processes information about areas of interest and obtains data by querying object attribute values ​​in the management service, including:

[0012] The management data analysis service device connects the area of ​​interest information with the 5G tracking area code data, wherein the 5G tracking area code data is the 5G tracking area code data of the distributed unit corresponding to the 5G New Radio cell;

[0013] The data analysis service device manages the operation of querying object attribute values ​​in the management service.

[0014] The management data analysis service device receives and saves the output generated by the operation of query object attribute values.

[0015] In some embodiments of this disclosure, the management data analysis service device interfaces with area of ​​interest information and 5G tracking area code data, including:

[0016] The management data analysis service device saves information about areas of interest as tracking area identifiers;

[0017] The management data analysis service device performs parameter configuration, wherein the parameter configuration includes setting the 5G tracking area code data of the distributed unit corresponding to the 5G New Radio cell to be the same as the tracking area identifier.

[0018] In some embodiments of this disclosure, the data collection request may also include the information object class name and the management object attribute name.

[0019] In some embodiments of this disclosure, the parameter configuration includes:

[0020] Set the base object instance as the management element instance;

[0021] Configure the range type to all bases;

[0022] Set the filter to: set the 5G tracking area code data of the distributed unit corresponding to the 5G New Radio cell to be the same as the tracking area identifier; set the management object attribute name of the information object class name to exist;

[0023] Configure the input attribute list as the local cell identifier and the attribute name of the managed object.

[0024] In some embodiments of this disclosure, the management data analysis service device aggregates the collected data and provides it to the management service consumer, including:

[0025] After the management data analysis service device performs the operation of querying object attribute values ​​in the management service on all management element instances, it summarizes the obtained data into a list and provides it to the management service consumer.

[0026] According to another aspect of this disclosure, a management data analysis service device is provided, wherein the management data analysis service device is disposed within an operation, management, and maintenance system, and the management data analysis service device includes:

[0027] The request receiving module is used to receive data collection requests sent by management service consumers;

[0028] The data collection module is used to collect relevant data within the system for operation, management, and maintenance based on the data collection request.

[0029] The data providing module is used to aggregate the collected data and provide it to management service consumers.

[0030] In some embodiments of this disclosure, the management data analysis service device is used to perform operations that implement the data acquisition method as described in any of the above embodiments.

[0031] According to another aspect of this disclosure, a data analysis service management device is provided, comprising:

[0032] Memory, used to store instructions;

[0033] A processor is configured to execute the instructions, causing the management data analysis service device to perform operations implementing the data acquisition method as described in any of the above embodiments.

[0034] According to another aspect of this disclosure, an operation, management and maintenance system is provided, including a management data analysis service apparatus as described in any of the above embodiments.

[0035] According to another aspect of this disclosure, a data acquisition system is provided, including an operation, management and maintenance system as described in any of the above embodiments; or a management data analysis service device as described in any of the above embodiments.

[0036] According to another aspect of this disclosure, a non-transitory computer-readable storage medium is provided, wherein the non-transitory computer-readable storage medium stores computer instructions that, when executed by a processor, implement the data acquisition method as described in any of the above embodiments.

[0037] Consumers of this publicly disclosed management service can obtain data from the operation, management, and maintenance system through the management data analysis service device. Attached Figure Description

[0038] To more clearly illustrate the technical solutions in the embodiments of this disclosure or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this disclosure. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0039] Figure 1 These are schematic diagrams illustrating some embodiments of the data acquisition method disclosed herein.

[0040] Figure 2 These are schematic diagrams illustrating some embodiments of the data analysis service device disclosed herein.

[0041] Figure 3 The diagram shows the structure of some other embodiments of the data analysis service device disclosed herein. Detailed Implementation

[0042] The technical solutions of the embodiments of this disclosure will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this disclosure, and not all embodiments. The following description of at least one exemplary embodiment is merely illustrative and is in no way intended to limit this disclosure or its application or use. All other embodiments obtained by those skilled in the art based on the embodiments of this disclosure without creative effort are within the scope of protection of this disclosure.

[0043] Unless otherwise specifically stated, the relative arrangement, numerical expressions, and values ​​of the components and steps set forth in these embodiments do not limit the scope of this disclosure.

[0044] At the same time, it should be understood that, for ease of description, the dimensions of the various parts shown in the accompanying drawings are not drawn according to actual scale.

[0045] Techniques, methods, and equipment known to those skilled in the art may not be discussed in detail, but where appropriate, such techniques, methods, and equipment should be considered part of the specification.

[0046] In all examples shown and discussed herein, any specific values ​​should be interpreted as merely exemplary and not as limitations. Therefore, other examples of exemplary embodiments may have different values.

[0047] It should be noted that similar labels and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be discussed further in subsequent figures.

[0048] The inventors discovered through research that a large amount of management data in the OAM is stored in the MIB in the form of MO Attributes. This data can be retrieved by other Management Systems (MnS) within the OAM through operations such as the `getMOIAttributes` function in Generic Provisioning (GRP) MnS. This data is an important source for nWDAF in the 5GC (5G Core Network), and some analysis services provided by nWDAF require this data to be obtained from the OAM.

[0049] Figure 1 This is a schematic diagram of some embodiments of the data acquisition method of this disclosure. Preferably, this embodiment can be executed by the data acquisition method of this disclosure or the data management and analysis service device of this disclosure. The method includes at least one of the following steps:

[0050] Step 1: The management data analysis service device within the operation, management, and maintenance system receives data collection requests sent by management service consumers.

[0051] In some embodiments of this disclosure, the data collection request includes at least one of AOI (Area of ​​Interests), IOC name (Information Object Class name), and MO Attributename (Managed Object Attribute name).

[0052] Step 2: The management data analysis service device collects the corresponding data within the operation, management, and maintenance system according to the data collection request.

[0053] In some embodiments of this disclosure, step 2 may include: managing the data analysis service device to process information about the area of ​​interest, and obtaining data by querying the attribute values ​​of objects in the management service.

[0054] In some embodiments of this disclosure, the steps of the management data analysis service device processing information about areas of interest and obtaining data by querying object attribute values ​​in the management service may include at least one of steps 21-23, wherein:

[0055] Step 21: The management data analysis service device interfaces the area of ​​interest information with the nRTAC (5G New Radio Tracking Area Code) data of the NRCellDU class. NRCellDU is the name of an IOC (Information Object Class) in the 5G nRM (Network Resource Model). This IOC represents the portion of NR cell information used to describe a specific resource. DU stands for Distributed Unit. NRCellDU is the distributed unit corresponding to an NR cell.

[0056] In some embodiments of this disclosure, step 21 may include at least one of steps 211 and 212, wherein:

[0057] Step 211: The management data analysis service device saves the area of ​​interest information as a tracking area identifier.

[0058] Step 212: The management data analysis service device performs parameter configuration, wherein the parameter configuration includes setting the 5G tracking area code data of the distributed unit corresponding to the 5G New Radio cell to be the same as the tracking area identifier.

[0059] In some embodiments of this disclosure, step 212 may include at least one of steps 2121 and 2124, wherein:

[0060] Step 2121: Set the base object instance (BaseObjectInstance) as a management element instance (ManagementElement).

[0061] Step 2122: Configure the scope type (ScopeType) to all bases (BASE_ALL).

[0062] Step 2123: Set the filter to: set the 5G Tracking Area Code (nRTAC) data of the Distributed Unit Class corresponding to the 5G New Radio cell to be the same as the Tracking Area Identifier (TAI), where nRTAC is used in the 3GPP specification text to identify whether the NR cell supports SA (Standalone) function; set the Management Object Attribute Name (MO Attribute name) of the Information Object Class Name (IOC name) to exist.

[0063] Step 2124: Configure the input attribute list as the local cell identifier and the management object attribute name.

[0064] Step 22: The data analysis service device calls the operation of querying object attribute values ​​in the management service.

[0065] In some embodiments of this disclosure, step 22 may include: the management data analysis service device obtaining data by invoking the operation of querying object attribute values ​​(getMOIAttributes) in the Generic Provisioning Management Service (Generic Provisioning MnS).

[0066] In some other embodiments of this disclosure, step 22 may include: the management data analysis service device obtaining data by calling the operation of querying object attribute values ​​in the general resource allocation management sub-service included in other management services.

[0067] Step 23: The Management Data Analysis Service (MDAS) receives and saves the output generated by the operation of query object attribute values.

[0068] Step 3: The management data analysis service device will summarize the collected data and provide it to the management service consumer.

[0069] In some embodiments of this disclosure, step 3 may include: after the management data analysis service device performs the operation of querying object attribute values ​​in the management service (e.g., general resource allocation management service) on all management element instances, it summarizes the obtained data as a list and provides it to the management service consumer.

[0070] In some embodiments of this disclosure, the NWDAF can act as a managed service consumer, requesting data from the Managed Data Analytics Service (MDAS). Upon request, the MDAS collects and processes the data from the OAM system and provides the request to the service consumer.

[0071] In some embodiments of this disclosure, in SA (Standalone) 2, the network element that can collect data from OAM (that is, the NF that can use the method described in the above embodiments of this disclosure to send a service request to MDAS and collect data) can be nWDAF or DCCF (Data Collection Coordination Function), where NF stands for Network Function Node.

[0072] In some embodiments of this disclosure, NWDAF and DCCF can be independent network elements.

[0073] In some embodiments of this disclosure, NWDAF may have the functionality of DCCF (i.e., NWDAF and DCCF are combined into one setting).

[0074] In some embodiments of this disclosure, data collection is performed entirely by nWDAF without using (deploying) DCCF in the network.

[0075] Based on the data acquisition method provided in the above embodiments of this disclosure, the Management Service within OAM (MDAS) can be used to replace NWDAF for collecting data within OAM. The above embodiments of this disclosure can interface AOI with nRTAC data in the NRCellDU class; the above embodiments of this disclosure can use MDAS to perform multiple data collections, summarize the data, and then provide it to nWDAF.

[0076] The above embodiments of this disclosure enable NWDAF to collect MO Attributes in OAM.

[0077] The present disclosure will now be described through specific embodiments.

[0078] In some embodiments of this disclosure, the data acquisition method may include: acquiring CellEnergySavingState; configuring the IOC name as CESManagementFunction (CommunicationsEquipment StringManagementFunction, communication device string management function); and configuring MO Attributes as energySavingState.

[0079] In some other embodiments of this disclosure, the data acquisition method may include: acquiring arfcnDL (downlink frequency point number); configuring the IOC name as nRCellDU; and configuring MO Attributes as arfcnDL.

[0080] The embodiments disclosed above can be used by nWDAF to collect base station attributes in AoI, and to provide services such as energy saving, service quality prediction, and access strategy selection.

[0081] Figure 2 These are schematic diagrams illustrating some embodiments of the data analysis service device for management according to this disclosure. The data analysis service device for management according to this disclosure is installed within an operation, management, and maintenance system. For example... Figure 2 As shown, the data analysis service device of this disclosure may include a request receiving module 21, a data collection module 22, and a data providing module 23, wherein:

[0082] The request receiving module 21 is used to receive data collection requests sent by management service consumers.

[0083] In some embodiments of this disclosure, the data collection request includes at least one of a domain of interest, an information object class name, and a management object attribute name.

[0084] The data collection module 22 is used to collect relevant data within the system for operation, management and maintenance according to the data collection request.

[0085] In some embodiments of this disclosure, the data collection module 22 can be used to process information about areas of interest and obtain data by querying object attribute values ​​in the management service.

[0086] In some embodiments of this disclosure, the data collection module 22 can be used to interface with the domain of interest information and the 5G tracking area code data, wherein the 5G tracking area code data is the 5G tracking area code data of the distributed unit corresponding to the 5G New Radio cell; call the operation of querying object attribute values ​​in the management service; and receive and save the output generated by the operation of querying object attribute values.

[0087] In some embodiments of this disclosure, the data collection module 22 can be used to obtain data by invoking the operation of querying object attribute values ​​(getMOIAttributes) in the Generic Provisioning Management Service (Generic Provisioning MnS).

[0088] In some other embodiments of this disclosure, the data collection module 22 can be used to obtain data by calling the operation of querying object attribute values ​​in the general resource allocation management sub-service included in other management services.

[0089] In some embodiments of this disclosure, the data collection module 22 can be used to save the area of ​​interest information as a tracking area identifier; and to configure parameters, wherein the parameter configuration includes setting the 5G tracking area code data of the distributed unit corresponding to the 5G New Radio cell to be the same as the tracking area identifier.

[0090] In some embodiments of this disclosure, the data collection module 22, when configuring parameters, can be used to set the basic object instance as a management element instance; configure the range type as all basics; set the filter to: set the 5G tracking area code data of the distributed unit corresponding to the 5G New Radio cell to be the same as the tracking area identifier, and set the management object attribute name of the information object class name to exist; and configure the input attribute list as the local cell identifier and the management object attribute name.

[0091] The data providing module 23 is used to summarize the collected data and provide it to the management service consumer.

[0092] In some embodiments of this disclosure, the data providing module 23 can be used to manage the data analysis service device to perform operations on querying object attribute values ​​in management services (e.g., general resource allocation management services) for all management element instances, and then provide the obtained data as a list to the management service consumer.

[0093] In some embodiments of this disclosure, the management data analysis service apparatus can be used to perform any of the embodiments described above (e.g., Figure 1 The operation of the data acquisition method described in the embodiment)

[0094] Figure 3 These are schematic diagrams illustrating the structure of other embodiments of the data analysis service apparatus disclosed herein. For example... Figure 3 As shown, the data analysis service management device includes a memory 31 and a processor 32.

[0095] Memory 31 is used to store instructions, and processor 32 is coupled to memory 31. Processor 32 is configured to execute instructions stored in memory to implement the above embodiments (e.g., Figure 1 The data acquisition method described in the embodiment).

[0096] like Figure 3 As shown, the management data analysis service device also includes a communication interface 33 for exchanging information with other devices. Additionally, the management data analysis service device includes a bus 34, through which the processor 32, communication interface 33, and memory 31 communicate with each other.

[0097] The memory 31 may include high-speed RAM, and may also include non-volatile memory, such as at least one disk storage device. The memory 31 may also be a memory array. The memory 31 may also be divided into blocks, and the blocks may be combined into virtual volumes according to certain rules.

[0098] Furthermore, processor 32 may be a central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement embodiments of the present disclosure.

[0099] Based on the management data analysis service device provided in the above embodiments of this disclosure, MO Attributes can be obtained from OAM through MDAS; the parameters provided by NWDAF include Area of ​​Interests, IOC name, and MO Attribute name; MDAS can summarize the results after multiple processing and feed them back to NWDAF in the form of a list.

[0100] The embodiments disclosed above relate to 5G mobile communication and 5G evolution and key technology enhancements.

[0101] According to another aspect of this disclosure, an operation, management, and maintenance system is provided, which may include any of the embodiments described above (e.g., Figure 2 or Figure 3 The management data analysis service device described in the embodiment).

[0102] According to another aspect of this disclosure, a data acquisition system is provided, which may include the operation, management and maintenance system as described in any of the above embodiments.

[0103] According to another aspect of this disclosure, a data acquisition system is provided, which may include any of the embodiments described above (e.g., Figure 2 or Figure 3 The management data analysis service device described in the embodiment).

[0104] According to another aspect of this disclosure, a non-transitory computer-readable storage medium is provided, wherein the non-transitory computer-readable storage medium stores computer instructions that, when executed by a processor, implement any of the embodiments described above (e.g., Figure 1 The data acquisition method described in the embodiment).

[0105] Based on the non-transitory computer-readable storage medium provided in the above embodiments of this disclosure, the Management Service within the OAM (MDAS) can be used to replace the NWDAF for collecting data within the OAM. The above embodiments of this disclosure can interface the AOI with the nRTAC data in the NRCellDU class; the above embodiments of this disclosure can use MDAS to perform multiple data collections, summarize them, and then provide them to the nWDAF.

[0106] The above embodiments of this disclosure enable NWDAF to collect MO Attributes in OAM.

[0107] Those skilled in the art will understand that embodiments of this disclosure can be provided as methods, apparatus, or computer program products. Therefore, this disclosure can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this disclosure can take the form of a computer program product embodied on one or more computer-usable non-transitory storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0108] This disclosure is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this disclosure. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create a machine for implementing the flowchart illustrations. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0109] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0110] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0111] The management data analysis service device described above can be implemented as a general-purpose processor, programmable logic controller (PLC), digital signal processor (DSP), application-specific integrated circuit (ASIC), field-programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware component or any suitable combination thereof for performing the functions described in this application.

[0112] This concludes the detailed description of the present disclosure. To avoid obscuring the concept of the disclosure, some details known in the art have not been described. Those skilled in the art will fully understand how to implement the technical solutions disclosed herein based on the above description.

[0113] Those skilled in the art will understand that all or part of the steps of the above embodiments can be implemented by hardware, or by a program instructing the relevant hardware to implement them. The program can be stored in a non-transitory computer-readable storage medium, such as a read-only memory, a disk, or an optical disk.

[0114] The description in this disclosure is provided for illustrative and descriptive purposes only and is not intended to be exhaustive or to limit the disclosure to its forms. Many modifications and variations will be apparent to those skilled in the art. The embodiments were chosen and described in order to better illustrate the principles and practical application of this disclosure and to enable those skilled in the art to understand this disclosure and to design various embodiments with various modifications suitable for a particular purpose.

Claims

1. A data acquisition method, characterized by, The application relates to a management data analysis service device in an operation, management and maintenance system. The management data analysis service device receives a data collection request sent by a management service consumer, wherein the data collection request comprises an interest field; The management data analysis service device collects corresponding data in the operation, management and maintenance system according to the data collection request; The management data analysis service device provides the collected data to the management service consumer after summarizing the data; The management data analysis service device collects corresponding data in the operation, management and maintenance system according to the data collection request, which comprises: The management data analysis service device processes the interest field information and acquires data by querying object attribute values in the management service; The management data analysis service device processes the interest field information and acquires data by querying object attribute values in the management service, which comprises: The management data analysis service device connects the interest field information with 5G tracking area code data, wherein the 5G tracking area code data is 5G tracking area code data of a distributed unit corresponding to a 5G new radio cell; The management data analysis service device calls the operation of querying object attribute values in the management service; The management data analysis service device receives and saves the output generated by the operation of querying object attribute values.

2. The data acquisition method of claim 1, wherein, The management data analysis service device connects the interest field information with 5G tracking area code data, which comprises: The management data analysis service device saves the interest field information as tracking area identification; The management data analysis service device performs parameter configuration, wherein the parameter configuration comprises setting the 5G tracking area code data of the distributed unit corresponding to the 5G new radio cell as the same as the tracking area identification.

3. The data acquisition method of claim 2, wherein, The data collection request further comprises an information object class name and a management object attribute name; The parameter configuration comprises: Setting a basic object instance as a management element instance; Configuring a range type as all basic; Setting a filter as: setting the 5G tracking area code data of the distributed unit corresponding to the 5G new radio cell as the same as the tracking area identification; and setting the management object attribute name of the information object class name as existing; Configuring an input attribute list as a local cell identification and the management object attribute name.

4. The data acquisition method according to any one of claims 1-3, characterized in that, The management data analysis service device provides the collected data to the management service consumer after summarizing the data, which comprises: The management data analysis service device processes all management element instances by the operation of querying object attribute values in the management service, summarizes the acquired data as a list, and provides the list to the management service consumer.

5. A managing data analysis service apparatus characterized by comprising: The management data analysis service device is arranged in the operation, management and maintenance system, and comprises: A request receiving module for receiving a data collection request sent by a management service consumer; A data collection module for collecting corresponding data in the operation, management and maintenance system according to the data collection request; A data providing module for providing the collected data to the management service consumer after summarizing the data. The data collection module is configured to process the interest field information, and obtain data by querying an object attribute value in the management service. In the case that the data collection module processes the interest field information and obtains data by querying an object attribute value in the management service, the data collection module is configured to: interface the interest field information with 5G tracking area code data, wherein the 5G tracking area code data is 5G tracking area code data of a distributed unit corresponding to a 5G new radio cell; call the operation of querying an object attribute value in the management service; and receive and save output generated by the operation of querying an object attribute value. The management data analysis service apparatus is configured to implement the data acquisition method according to any one of claims 1-4.

6. A data analytics service management apparatus characterized by comprising: The management data analysis service apparatus comprises: a memory configured to store instructions; a processor configured to execute the instructions, so that the management data analysis service apparatus performs operations of implementing the data acquisition method according to any one of claims 1-4.

7. An operation, administration and maintenance system, characterized in that The operation, administration and maintenance system comprises the management data analysis service apparatus according to claim 5 or 6.

8. A data acquisition system characterized by, The operation, administration and maintenance system comprises the management data analysis service apparatus according to claim 5 or 6.

9. A non-transitory computer-readable storage medium, comprising: The non-transitory computer readable storage medium stores computer instructions, and the instructions, when executed by a processor, implement the data acquisition method according to any one of claims 1-4.

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