CN114040441A - VoLTE service quality sensing method and device - Google Patents
VoLTE service quality sensing method and device Download PDFInfo
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- H04W28/02—Traffic management, e.g. flow control or congestion control
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- H04W28/0268—Traffic management, e.g. flow control or congestion control using specific QoS parameters for wireless networks, e.g. QoS class identifier [QCI] or guaranteed bit rate [GBR]
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Abstract
The invention discloses a method and a device for sensing VoLTE service quality, wherein the method comprises the following steps: the VoLTE service perception realizes the integral perception monitoring of the user through data monitoring; designing a KQI, and carrying out KQI modeling on a key sensing point of a VoLTE service used by a user through signaling data; KPI design, namely counting KPI indexes corresponding to network elements through which the signaling passes according to a VoLTE service flow; monitoring the KQI in S02; monitoring KPIs in S03; and carrying out network association analysis. The method and the device realize the end-to-end monitoring and analysis of the VoLTE service quality by the correlation design of various indexes and the combination of end-to-end network alarm performance data.
Description
Technical Field
The invention relates to the field of communication voice, in particular to a VoLTE service quality sensing method and device.
Background
VoLTE is voice service based on IMS, and can realize the unification of data and voice service in the same network. Based on the implementation process of the VoLTE service, the service end-to-end covers network domains such as wireless, transmission, bearer, EPC, IMS, and the like. The VoLTE service flow covers a plurality of stages of attachment, registration, connection, maintenance, voice quality and the like.
The VoLTE service penetrates a wide network domain, the coverage stages are multiple, and the end-to-end quality perception of the service is a complex process. Each network domain has multiple new and professional technologies and high capability requirement. At present, no method and means can complete the end-to-end quality perception work of the VoLTE service. End-to-end quality awareness for VoLTE services is a real and urgent requirement.
Disclosure of Invention
In order to solve the existing problems, the invention provides a method and a device for sensing the quality of the VoLTE service, which realize the end-to-end monitoring and analysis of the quality of the VoLTE service by combining end-to-end network alarm performance data through a plurality of index correlation designs.
In order to achieve the purpose, the invention adopts the following technical scheme:
in an embodiment of the present invention, a method for sensing quality of VoLTE service is provided, where the method includes:
s01, sensing the VoLTE service, and realizing the integral sensing monitoring of the user through data monitoring;
s02, designing a KQI, and carrying out KQI modeling on a key sensing point of a VoLTE service used by a user through signaling data;
s03, KPI design, according to VoLTE business process statistics signaling network element corresponding KPI index;
s04, monitoring the KQI in S02;
s05, monitoring KPIs in S03;
and S06, performing network association analysis.
Further, the S01 includes:
s011, realizing the serial connection of the end-to-end process of the service by collecting VoLTE signaling data;
s012, realizing statistics and monitoring of KQI index data through service concatenation;
s013, decomposing and monitoring KPI data of a network element corresponding to the KQI through a speech system and signaling data;
and S014, realizing network side data analysis by correlating the alarm and performance data of the network element through KPI degradation time.
Further, the S04 includes:
s041, clustering time granularity is performed aiming at the whole network monitoring of the VoLTE service;
and S042, monitoring the end-to-end network KPI of a specific certain area when the indexes are degraded or not reach the standard.
Further, the S05 includes:
s051, acquiring KPI indexes corresponding to network elements in an end-to-end VoLTE network from eNodeB to EPC to IMS according to the KPI indexes corresponding to the VoLTE KQI;
and S052, when finding that the KPI of the specific network element is degraded or does not reach the standard, drilling down according to the indexes to obtain the alarm performance monitoring of the network element.
Further, the S06 includes:
s061, associating corresponding equipment performance and alarm according to the time and the network element information;
s062, VoLTE business presents warning monitoring and performance monitoring of end-to-end network at the same time, the business quality influence is visual.
In an embodiment of the present invention, a device for sensing quality of VoLTE service is further provided, where the device includes:
the VoLTE service sensing module realizes the integral sensing monitoring of the user through data monitoring;
the KQI design module is used for carrying out KQI modeling on key sensing points of VoLTE service used by a user through signaling data;
the KPI design module is used for counting KPI indexes corresponding to network elements through which the signaling passes according to the VoLTE service flow;
the KQI monitoring module is used for monitoring the KQI in the S02;
the KPI monitoring module is used for monitoring KPI in S03;
and the association analysis module is used for carrying out network association analysis.
Further, the VoLTE service awareness module includes:
the acquisition module is used for realizing the concatenation of the end-to-end process of the service by acquiring VoLTE signaling data;
the concatenation module is used for realizing statistics and monitoring of KQI index data of the service through service concatenation;
the decomposition monitoring module is used for decomposing and monitoring the KPI data of the network element corresponding to the KQI through a speech system and signaling data;
and the data analysis module is used for realizing network side data analysis by correlating the alarm and the performance data of the network element through KPI (key performance indicator) degradation time.
Further, the KQI monitoring module includes:
the whole network monitoring module is used for clustering time granularity aiming at the whole network monitoring of the VoLTE service;
and monitoring an end-to-end network KPI module, and monitoring the end-to-end network KPI of a specific certain area when indexes are degraded or not reach the standard.
Further, the KPI monitoring module comprises:
a network element KPI acquisition module acquires KPI indexes corresponding to each network element in an end-to-end VoLTE network from eNodeB to EPC to IMS according to KPI indexes corresponding to VoLTE KQI;
and the network element alarm monitoring module is used for descending according to the indexes to acquire the network element alarm performance monitoring when finding that the specific network element KPI is degraded or does not reach the standard.
Further, the association analysis module includes:
the correlation corresponding module correlates corresponding equipment performance and alarm according to the time and the network element information;
the VoLTE service presenting module and the VoLTE service simultaneously present alarm monitoring and performance monitoring of an end-to-end network, and the influence of the service quality is visible.
In an embodiment of the present invention, a computer device is further provided, which includes a memory, a processor, and a computer program stored on the memory and executable on the processor, and when the processor executes the computer program, the foregoing VoLTE service quality awareness method is implemented.
In an embodiment of the present invention, a computer-readable storage medium is further provided, where a computer program for executing the VoLTE service quality awareness method is stored in the computer-readable storage medium.
Has the advantages that:
1. the method constructs a service quality perception system, realizes the end-to-end monitoring analysis of the VoLTE service quality by combining end-to-end network alarm performance data through a plurality of index correlation designs from service perception- > KQI design- > KPI design;
2. the KQI index and the KPI index are designed based on the atomic capability, and when the atomic capability is changed, the interface is not required to be modified, and only the specific implementation is required to be modified;
3. the invention can quickly adapt to new service quality perception requirements through the atomic capability arrangement design, and is flexible and various;
4. the atomic capability of the invention can be opened for other services to form capability multiplexing.
Drawings
Fig. 1 is a schematic flow chart of a VoLTE service quality sensing method of the present invention;
figure 2 is a VoLTE service aware atomic capability tandem diagram;
fig. 3 is a schematic structural diagram of a VoLTE qos sensing apparatus according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a computer device according to an embodiment of the present invention.
Detailed Description
The principles and spirit of the present invention will be described below with reference to several exemplary embodiments, which should be understood to be presented only to enable those skilled in the art to better understand and implement the present invention, and not to limit the scope of the present invention in any way. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
As will be appreciated by one skilled in the art, embodiments of the present invention may be embodied as a system, apparatus, device, method, or computer program product. Accordingly, the present disclosure may be embodied in the form of: entirely hardware, entirely software (including firmware, resident software, micro-code, etc.), or a combination of hardware and software.
Nouns to which the invention relates and explanations thereof:
KQI: key Quality Indicators are service Quality parameters which are provided mainly aiming at different services and close to user experience;
KPI: key Performance Indicator, Key Performance Indicator;
and (3) speech system: telephone traffic statistics, wherein the telephone traffic indexes mainly comprise congestion rate, call drop rate, switching success rate and the like;
and S-CSCF: serving CSCF, Serving CSCF;
CSCF: the Call Session Control Function, which is a functional entity inside an IP Multimedia Subsystem (IMS), is the core of the entire IMS network;
MME: mobility Management Entity, which is a key control node of an LTE access network, is responsible for positioning of idle mode ue (user equipment) and paging process, including relaying, and simply, MME is responsible for signaling processing;
eNodeB: an Evolved Node B, referred to as eNB, is the name of a base station in LTE;
E-RAB: evolved Radio Access Bearer;
s1: the S1 interface is a communication interface between an LTE eNodeB (base station) and an EPC (packet core network);
RRC: radio Resource Control, Radio Resource Control;
and VQI: monitoring voice quality;
E2E VQI: end-to-end VQI;
VoLTE: voice over Long-Term Evolution Voice bearer is a high-speed wireless communication standard facing mobile phones and data terminals;
IMS: IP Multimedia Subsystem, IP Multimedia system;
SBC: the network element is used for realizing IP access, intercommunication and security protection at the edge of the IMS network, exists between an access network and the IMS network or between different IMS networks, and is an entry point for a user to access the IMS.
CSCF: the Call Session Control Function is the most important functional entity in the IMS, and is classified into three types:
and the P-CSCF: proxy CSCF (proxy CSCF);
I-CSCF: inquire CSCF (interrogating CSCF);
and S-CSCF: serving CSCF (Serving CSCF);
IPQOS: IP quality of service;
MOS: mean Opinion Score Mean Opinion value, often to measure important indicators of the voice quality of the communication system;
EPC: a 4G core network;
QCI: the QoS Class Identifier is a scale value used to measure the packet forwarding behavior (such as packet loss rate and packet delay budget) provided to the SDF (service data flow);
SGW: serving Gateway, sometimes also written as S-GW;
PGW: PDN Gateway, sometimes also written as P-GW;
PDN: public Data Network, Public Data Network
PCRF: policy and Charging Rules Function, completing the Policy and Charging control of user data message.
According to the embodiment of the invention, a method and a device for sensing the quality of the VoLTE service are provided, and the end-to-end monitoring analysis of the quality of the VoLTE service is realized by the correlation design of various indexes and the combination of end-to-end network alarm performance data.
The principles and spirit of the present invention are explained in detail below with reference to several representative embodiments of the invention.
Fig. 1 is a schematic flow chart of a VoLTE service quality sensing method according to an embodiment of the present invention. As shown in fig. 1, the method includes:
s01, sensing the VoLTE service, and realizing the integral sensing monitoring of the user through data monitoring;
s02, designing a KQI, and carrying out KQI modeling on a key sensing point of a VoLTE service used by a user through signaling data;
s03, KPI design, according to VoLTE business process statistics signaling network element corresponding KPI index;
s04, monitoring the KQI in S02;
s05, monitoring KPIs in S03;
and S06, performing network association analysis.
The S01 includes:
s011, realizing the serial connection of the end-to-end process of the service by collecting VoLTE signaling data;
s012, realizing statistics and monitoring of KQI index data through service concatenation;
s013, decomposing and monitoring KPI data of a network element corresponding to the KQI through a speech system and signaling data;
and S014, realizing network side data analysis by correlating the alarm and performance data of the network element through KPI degradation time.
The S04 includes:
s041, clustering time granularity is performed aiming at the whole network monitoring of the VoLTE service;
and S042, monitoring the end-to-end network KPI of a specific certain area when the indexes are degraded or not reach the standard.
The S05 includes:
s051, acquiring KPI indexes corresponding to network elements in an end-to-end VoLTE network from eNodeB to EPC to IMS according to the KPI indexes corresponding to the VoLTE KQI;
and S052, when finding that the KPI of the specific network element is degraded or does not reach the standard, drilling down according to the indexes to obtain the alarm performance monitoring of the network element.
The S06 includes:
s061, associating corresponding equipment performance and alarm according to the time and the network element information;
s062, VoLTE business presents warning monitoring and performance monitoring of end-to-end network at the same time, the business quality influence is visual.
It should be noted that although the operations of the method of the present invention have been described in the above embodiments and the accompanying drawings in a particular order, this does not require or imply that these operations must be performed in this particular order, or that all of the operations shown must be performed, to achieve the desired results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step execution, and/or one step broken down into multiple step executions.
For a clearer explanation of the above-mentioned VoLTE service quality perception method, a specific embodiment is described below, however, it should be noted that the embodiment is only for better explaining the present invention, and is not to be construed as an undue limitation to the present invention.
Example (b):
and S01, VoLTE service perception, defining four dimensions, and satisfying the perception of the four dimensions, namely satisfying the overall perception of the user. Namely: make the call through, get the call fast, hear clearly, not drop the call. The method specifically comprises the following steps:
s011, realizing the serial connection of the end-to-end process of the service by collecting VoLTE signaling data;
s012, realizing statistics and monitoring of KQI index data through service concatenation;
s013, decomposing and monitoring KPI data of a network element corresponding to the KQI through a speech system and signaling data;
and S014, realizing network side data analysis by correlating the alarm and performance data of the network element through KPI degradation time.
S02, KQI design:
the KQI modeling is carried out on key sensing points of the VoLTE service used by the user through signaling data, so that the 'grading', 'visualization', 'measurable' sensing of the user is realized;
support monitoring of KQI: the registration success rate, the VoLTE call completing rate, the VoLTE end-to-end call delay, the VoLTE call drop rate and the ratio of voice quality scores heard by users in the VoLTE call to be more than 3.0;
and (3) counting period: 15 minutes, 1 hour, 1 day;
and (4) counting the dimensions: whole network, large area, province.
The KQI index is designed as in table 1 below:
TABLE 1
S03, KPI design:
based on information such as speech system performance, user call record performance, signaling data and the like, counting KPI indexes corresponding to network elements through which signaling passes according to a VoLTE service flow;
and (3) counting period: 15 minutes, 1 hour, 1 day;
network element dimension: and various network devices such as S-CSCF, MME and the like.
The KPI indicators are designed as in table 2 below:
TABLE 2
As shown in fig. 2, each network domain designs the capability directory as follows:
eNodeB: E-RAB establishment success rate, wireless connection rate, wireless paging forwarding success rate, S1 signaling connection establishment success rate, RRC establishment delay, E-RAB establishment delay, uplink VQI distribution, downlink VQI distribution, E2E VQI, VoLTE uplink packet loss rate, VoLTE downlink packet loss rate, RRC reestablishment proportion, E-RAB disconnection rate
IMS: SBC registration success rate, ICSCF registration success rate, SCSCF initial registration success rate, SCSCF re-registration success rate, S-CSCF network call-in rate, S-CSCF call-in rate,
VOLTE intercommunication call completing rate, VOLTE roaming call completing rate, calling SBC call completing rate, false user reason failure rate, SBC calling session average establishing time length, SBC uplink packet loss rate, SBC downlink packet loss rate, IPQOS MOS, SBC call conversation call completing rate, call drop rate before SBC connection, call drop rate before SBC response, call drop in SCSCF conversation, call drop rate caused by SBC switching
EPC: the method comprises the following steps of S1 mode attachment success rate, IMS PDN establishment success rate, S1 mode service request success rate, VoLTE service paging success rate, dedicated bearer establishment success rate, dedicated bearer updating success rate, VoLTE service paging delay, VoLTE one-time paging success rate, user IP MOS (internet protocol/metal oxide semiconductor) ratio, QCI (quaternary clock and antenna interface) bearer forwarding packet loss rate, PGW (packet switched) call drop rate, SGW (serving gateway) call drop rate and MME (mobility management entity) call drop rate.
S04: monitoring by KQI:
s04-1: clustering time granularity aiming at whole network monitoring of VoLTE service
S04-2: monitoring an end-to-end network KPI of a specific area when the index is degraded or not reached
S05: KPI monitoring:
s05-1: according to KPI corresponding to VoLTE KQI, KPI corresponding to each network element in an end-to-end VoLTE network from eNodeB (LTE base station) to EPC (4G core network) to IMS (IP multimedia subsystem) is obtained
S05-2: when finding that the KPI of a specific network element is degraded or not meets the standard, drilling down according to the index to obtain the alarm performance monitoring of the network element
Drilling: drilling to the next layer, the KPI of the network element is degraded, and the specific reason of the degradation is seen, such as whether the alarm exists in the network element or whether the performance index does not reach the standard
S06: network association analysis
S06-1: correlating out corresponding equipment performance and alarm according to time and network element information
S06-2: the VoLTE service simultaneously shows the alarm monitoring and the performance monitoring of an end-to-end network, and the influence of the service quality is visible.
Based on the same inventive concept, the invention also provides a VoLTE service quality sensing device. The implementation of the device can be referred to the implementation of the method, and repeated details are not repeated. The term "module," as used below, may be a combination of software and/or hardware that implements a predetermined function. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware, or a combination of software and hardware is also possible and contemplated.
Fig. 3 is a schematic structural diagram of a VoLTE qos sensing apparatus according to an embodiment of the present invention. As shown in fig. 3, the apparatus includes:
the VoLTE service perception module 101 realizes overall perception monitoring of a user through data monitoring;
the KQI design module 102 is used for carrying out KQI modeling on key sensing points of VoLTE service used by a user through signaling data;
the KPI design module 103 counts KPI indexes corresponding to network elements through which the signaling passes according to the VoLTE service process;
the KQI monitoring module 104 monitors the KQI in S02;
the KPI monitoring module 105 monitors KPI in S03;
and the association analysis module 106 is used for carrying out network association analysis.
The VoLTE service awareness module 101 includes:
the acquisition module is used for realizing the concatenation of the end-to-end process of the service by acquiring VoLTE signaling data;
the concatenation module is used for realizing statistics and monitoring of KQI index data of the service through service concatenation;
the decomposition monitoring module is used for decomposing and monitoring the KPI data of the network element corresponding to the KQI through a speech system and signaling data;
and the data analysis module is used for realizing network side data analysis by correlating the alarm and the performance data of the network element through KPI (key performance indicator) degradation time.
The KQI monitoring module 104 includes:
the whole network monitoring module is used for clustering time granularity aiming at the whole network monitoring of the VoLTE service;
and monitoring an end-to-end network KPI module, and monitoring the end-to-end network KPI of a specific certain area when indexes are degraded or not reach the standard.
The KPI monitoring module 105 comprises:
a network element KPI acquisition module acquires KPI indexes corresponding to each network element in an end-to-end VoLTE network from eNodeB to EPC to IMS according to KPI indexes corresponding to VoLTE KQI;
and the network element alarm monitoring module is used for descending according to the indexes to acquire the network element alarm performance monitoring when finding that the specific network element KPI is degraded or does not reach the standard.
The association analysis module 106 includes:
the correlation corresponding module correlates corresponding equipment performance and alarm according to the time and the network element information;
the VoLTE service presenting module and the VoLTE service simultaneously present alarm monitoring and performance monitoring of an end-to-end network, and the influence of the service quality is visible.
It should be noted that although several modules of the VoLTE quality of service aware apparatus are mentioned in the above detailed description, such division is merely exemplary and not mandatory. Indeed, the features and functionality of two or more of the modules described above may be embodied in one module according to embodiments of the invention. Conversely, the features and functions of one module described above may be further divided into embodiments by a plurality of modules.
Based on the aforementioned inventive concept, as shown in fig. 4, the present invention further provides a computer device 200, which includes a memory 210, a processor 220, and a computer program 230 stored on the memory 210 and operable on the processor 220, wherein the processor 220 implements the aforementioned VoLTE service quality awareness method when executing the computer program 230.
Based on the foregoing inventive concept, the present invention further provides a computer-readable storage medium storing a computer program for executing the foregoing VoLTE service quality awareness method.
The method and the device for sensing the VoLTE service quality construct a service quality sensing system, realize the end-to-end monitoring and analysis of the VoLTE service quality by combining end-to-end network alarm performance data through a plurality of index correlation designs from the service sensing- > KQI design- > KPI design; the KQI index and the KPI index are designed based on the atomic capability, and when the atomic capability is changed, the interface is not required to be modified, and only the specific implementation is required to be modified; the invention can quickly adapt to new service quality perception requirements through the atomic capability arrangement design, and is flexible and various; the atomic capability of the invention can be opened for other services to form capability multiplexing.
While the spirit and principles of the invention have been described with reference to several particular embodiments, it is to be understood that the invention is not limited to the disclosed embodiments, nor is the division of aspects, which is for convenience only as the features in such aspects may not be combined to benefit. The invention is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.
The limitation of the protection scope of the present invention is understood by those skilled in the art, and various modifications or changes which can be made by those skilled in the art without inventive efforts based on the technical solution of the present invention are still within the protection scope of the present invention.
Claims (12)
1. A method for sensing VoLTE service quality is characterized in that the method comprises the following steps:
s01, sensing the VoLTE service, and realizing the integral sensing monitoring of the user through data monitoring;
s02, designing a KQI, and carrying out KQI modeling on a key sensing point of a VoLTE service used by a user through signaling data;
s03, KPI design, according to VoLTE business process statistics signaling network element corresponding KPI index;
s04, monitoring the KQI in S02;
s05, monitoring KPIs in S03;
and S06, performing network association analysis.
2. The VoLTE quality of service aware method of claim 1, wherein the S01 includes:
s011, realizing the serial connection of the end-to-end process of the service by collecting VoLTE signaling data;
s012, realizing statistics and monitoring of KQI index data through service concatenation;
s013, decomposing and monitoring KPI data of a network element corresponding to the KQI through a speech system and signaling data;
and S014, realizing network side data analysis by correlating the alarm and performance data of the network element through KPI degradation time.
3. The VoLTE quality of service aware method of claim 1, wherein the S04 includes:
s041, clustering time granularity is performed aiming at the whole network monitoring of the VoLTE service;
and S042, monitoring the end-to-end network KPI of a specific certain area when the indexes are degraded or not reach the standard.
4. The VoLTE quality of service aware method of claim 1, wherein the S05 includes:
s051, acquiring KPI indexes corresponding to network elements in an end-to-end VoLTE network from eNodeB to EPC to IMS according to the KPI indexes corresponding to the VoLTE KQI;
and S052, when finding that the KPI of the specific network element is degraded or does not reach the standard, drilling down according to the indexes to obtain the alarm performance monitoring of the network element.
5. The VoLTE quality of service aware method of claim 1, wherein the S06 includes:
s061, associating corresponding equipment performance and alarm according to the time and the network element information;
s062, VoLTE business presents warning monitoring and performance monitoring of end-to-end network at the same time, the business quality influence is visual.
6. A VoLTE quality of service aware apparatus, the apparatus comprising:
the VoLTE service sensing module realizes the integral sensing monitoring of the user through data monitoring;
the KQI design module is used for carrying out KQI modeling on key sensing points of VoLTE service used by a user through signaling data;
the KPI design module is used for counting KPI indexes corresponding to network elements through which the signaling passes according to the VoLTE service flow;
the KQI monitoring module is used for monitoring the KQI in the S02;
the KPI monitoring module is used for monitoring KPI in S03;
and the association analysis module is used for carrying out network association analysis.
7. The VoLTE service quality awareness apparatus of claim 6, wherein the VoLTE service awareness module comprises:
the acquisition module is used for realizing the concatenation of the end-to-end process of the service by acquiring VoLTE signaling data;
the concatenation module is used for realizing statistics and monitoring of KQI index data of the service through service concatenation;
the decomposition monitoring module is used for decomposing and monitoring the KPI data of the network element corresponding to the KQI through a speech system and signaling data;
and the data analysis module is used for realizing network side data analysis by correlating the alarm and the performance data of the network element through KPI (key performance indicator) degradation time.
8. The VoLTE quality of service awareness apparatus of claim 6, wherein the KQI monitoring module comprises:
the whole network monitoring module is used for clustering time granularity aiming at the whole network monitoring of the VoLTE service;
and monitoring an end-to-end network KPI module, and monitoring the end-to-end network KPI of a specific certain area when indexes are degraded or not reach the standard.
9. The VoLTE quality of service awareness apparatus of claim 6, wherein the KPI monitoring module comprises:
a network element KPI acquisition module acquires KPI indexes corresponding to each network element in an end-to-end VoLTE network from eNodeB to EPC to IMS according to KPI indexes corresponding to VoLTE KQI;
and the network element alarm monitoring module is used for descending according to the indexes to acquire the network element alarm performance monitoring when finding that the specific network element KPI is degraded or does not reach the standard.
10. The VoLTE quality of service aware apparatus of claim 6, wherein the association analysis module comprises:
the correlation corresponding module correlates corresponding equipment performance and alarm according to the time and the network element information;
the VoLTE service presenting module and the VoLTE service simultaneously present alarm monitoring and performance monitoring of an end-to-end network, and the influence of the service quality is visible.
11. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the method of claims 1-5 when executing the computer program.
12. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program for executing the method of claims 1-5.
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