CN109246717B - VoLTE voice integrity evaluation method and device based on big data - Google Patents

VoLTE voice integrity evaluation method and device based on big data Download PDF

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CN109246717B
CN109246717B CN201710561408.XA CN201710561408A CN109246717B CN 109246717 B CN109246717 B CN 109246717B CN 201710561408 A CN201710561408 A CN 201710561408A CN 109246717 B CN109246717 B CN 109246717B
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time length
signaling
volte voice
duration
voice
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CN109246717A (en
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韩增富
邵锐
李宗璋
孔建坤
牛海涛
***
刘珂
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China Mobile Communications Group Co Ltd
China Mobile Group Shandong Co Ltd
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China Mobile Group Shandong Co Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/50—Network service management, e.g. ensuring proper service fulfilment according to agreements
    • H04L41/508—Network service management, e.g. ensuring proper service fulfilment according to agreements based on type of value added network service under agreement
    • H04L41/5087—Network service management, e.g. ensuring proper service fulfilment according to agreements based on type of value added network service under agreement wherein the managed service relates to voice services
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L65/00—Network arrangements, protocols or services for supporting real-time applications in data packet communication
    • H04L65/60—Network streaming of media packets
    • H04L65/65—Network streaming protocols, e.g. real-time transport protocol [RTP] or real-time control protocol [RTCP]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04M—TELEPHONIC COMMUNICATION
    • H04M3/00—Automatic or semi-automatic exchanges
    • H04M3/22—Arrangements for supervision, monitoring or testing
    • H04M3/2236—Quality of speech transmission monitoring
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04M—TELEPHONIC COMMUNICATION
    • H04M7/00—Arrangements for interconnection between switching centres
    • H04M7/006—Networks other than PSTN/ISDN providing telephone service, e.g. Voice over Internet Protocol (VoIP), including next generation networks with a packet-switched transport layer
    • H04M7/0081—Network operation, administration, maintenance, or provisioning

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Abstract

The invention provides a VoLTE voice integrity evaluation method based on big data. The method comprises the following steps: acquiring signaling plane data and media plane data in VoLTE voice; acquiring signaling surface time length in the VoLTE voice according to the signaling surface data, and acquiring media surface time length in the VoLTE voice call according to the media surface data; acquiring the problem time length according to the signaling surface time length and the media surface time length; and evaluating the integrity of the VoLTE voice according to the problem time length and the signaling surface time length. According to the embodiment of the invention, the problem time length in the VoLTE voice is obtained by comprehensively analyzing the signaling surface data and the media surface data in the VoLTE voice, and the voice integrity is evaluated according to the problem time length, so that the defect of inaccurate voice integrity evaluation caused by only considering the media surface data in the prior art is avoided, and the accuracy of the voice integrity evaluation result is improved.

Description

VoLTE voice integrity evaluation method and device based on big data
Technical Field
The invention relates to the technical field of wireless communication, in particular to a VoLTE voice integrity evaluation method and device based on big data.
Background
Voice Over LTE (VoLTE) is a packet switched service based on a data domain (PS), and has high communication quality and short call connection time compared with a conventional Voice service based on a Circuit Switch (CS). The voice integrity of VoLTE is a physical quantity representing the quality of VoLTE service, and generally, the smaller the packet loss rate, the better the voice integrity of VoLTE. With the increasing development of LTE networks and the increasing number of VoLTE users, VoLTE has achieved full network coverage, but lacks an effective solution for evaluating the voice integrity of VoLTE.
In the existing VoLTE voice integrity evaluation method, media surface data is used for analysis, but voice integrity evaluation performed through the media surface data has defects on phenomena of packet loss, interruption and word swallowing, so that the voice integrity evaluation result is inaccurate. For example, when two-way voice is absent, that is, two-way voice is absent, the prior art does not consider the voice to be abnormal, the prior art considers that the voice call starts when the one-way or two-way RTP data stream occurs based on a real-time Transport Protocol (RTP) data stream, and the two-way RTP data stream is absent when the two-way RTP data stream is absent, at this time, the call is considered to start or end only from the media side, so that the two-way RTP is not judged to be abnormal, and the voice integrity evaluation result is not influenced.
Disclosure of Invention
The embodiment of the invention provides a VoLTE voice integrity evaluation method and device based on big data, which are used for solving the problem that the existing VoLTE voice integrity evaluation result is inaccurate.
The embodiment of the invention provides a VoLTE voice integrity evaluation method based on big data, which comprises the following steps:
acquiring signaling plane data and media plane data in VoLTE voice;
acquiring signaling surface time length in the VoLTE voice according to the signaling surface data, and acquiring media surface time length in the VoLTE voice call according to the media surface data;
acquiring the problem time length according to the signaling surface time length and the media surface time length;
and evaluating the integrity of the VoLTE voice according to the problem time length and the signaling surface time length.
Optionally, the method further comprises:
judging whether the VoLTE voice is subjected to SRVCC switching or not;
if the SRVCC switching is judged to occur, the SRVCC switching state is judged;
if the SRVCC switching is judged to be successful, acquiring the signaling plane time length in the VoLTE voice according to the signaling plane data comprises the following steps:
and determining the second signaling surface time length in the VoLTE voice according to the call connection establishment time and the SRVCC switching completion response message sending time.
Optionally, the method further comprises:
if the SRVCC switching does not occur, acquiring the signaling plane time length in the VoLTE voice according to the signaling plane data comprises the following steps:
and determining the first signaling surface time length in the VoLTE voice according to the call connection establishment time and the call connection release time in the VoLTE voice.
Optionally, the method further comprises:
if the SRVCC switching is judged to occur and the SRVCC switching fails, acquiring the signaling plane time length in the VoLTE voice according to the signaling plane data, comprising:
and determining the first signaling surface time length in the VoLTE voice according to the call connection establishment time and the call connection release time in the VoLTE voice.
Optionally, the obtaining the problem duration according to the signaling plane duration and the media plane duration includes:
and acquiring the problem time length according to the second signaling surface time length and the media surface time length.
Optionally, the obtaining the problem duration according to the signaling plane duration and the media plane duration includes:
and acquiring the problem time length according to the first signaling surface time length and the media surface time length.
Optionally, the obtaining the media plane duration in the VoLTE voice call according to the media plane data includes:
and acquiring the media surface time length in the VoLTE voice call according to the voice packet number, the voice packet time length, the silent packet number and the silent packet time length in the media surface data.
The embodiment of the invention provides a VoLTE voice integrity evaluation device based on big data, which comprises:
the voice data acquisition unit is used for acquiring signaling plane data and media plane data in VoLTE voice;
a voice time length obtaining unit, configured to obtain a signaling surface time length in the VoLTE voice according to the signaling surface data, and obtain a media surface time length in the VoLTE voice call according to the media surface data;
a problem duration obtaining unit, configured to obtain a problem duration according to the signaling plane duration and the media plane duration;
and the integrity evaluation unit is used for evaluating the integrity of the VoLTE voice according to the problem time length and the signaling surface time length.
An embodiment of the present invention provides an electronic device, including: a processor, a memory, and a bus; wherein,
the processor and the memory complete mutual communication through the bus;
the processor is used for calling the program instructions in the memory to execute the large data-based VoLTE voice integrity evaluation method.
An embodiment of the present invention provides a non-transitory computer-readable storage medium, which stores computer instructions, where the computer instructions cause the computer to execute the above-mentioned large data-based VoLTE voice integrity assessment method.
The VoLTE voice integrity evaluation method and device based on big data, provided by the embodiment of the invention, are used for acquiring signaling plane data and media plane data in VoLTE voice; acquiring signaling surface time length in the VoLTE voice according to the signaling surface data, and acquiring media surface time length in the VoLTE voice call according to the media surface data; acquiring the problem time length according to the signaling surface time length and the media surface time length; and evaluating the integrity of the VoLTE voice according to the problem time length and the signaling surface time length. According to the embodiment of the invention, the problem time length in the VoLTE voice is obtained by comprehensively analyzing the signaling surface data and the media surface data in the VoLTE voice, and the voice integrity is evaluated according to the problem time length, so that the defect of inaccurate voice integrity evaluation caused by only considering the media surface data in the prior art is avoided, and the accuracy of the voice integrity evaluation result is improved.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic flowchart of a large data-based VoLTE voice integrity assessment method according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a large data-based VoLTE voice integrity assessment method according to an embodiment of the present invention;
fig. 3a is a network element architecture diagram of a large data-based VoLTE voice integrity assessment method according to an embodiment of the present invention;
fig. 3b is a diagram of network element architecture of a large data based VoLTE voice integrity assessment method according to another embodiment of the present invention;
FIG. 4 is a signaling diagram of signaling plane data of one embodiment of the present invention;
fig. 5a is a signaling diagram of the success of SRVCC handover in accordance with one embodiment of the present invention;
fig. 5b is a signaling diagram of an SRVCC handover failure in accordance with an embodiment of the present invention;
fig. 6 is a schematic structural diagram of a large data-based VoLTE voice integrity evaluation apparatus according to an embodiment of the present invention;
fig. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 1 is a flowchart illustrating a VoLTE voice integrity assessment method based on big data according to an embodiment of the present invention. As shown in fig. 1, the method of this embodiment includes:
s11: acquiring signaling plane data and media plane data in VoLTE voice;
it should be noted that, in the embodiment of the present invention, the signaling plane data and the media plane data in VoLTE voice are obtained by positioning probes (as shown in fig. 3a and fig. 3 b) on the S1-U interface, the GM interface, and other positions in the LTE system.
In practical application, the signaling plane data includes information such as start time and end time of the signaling plane; the media plane data includes information such as the number of voice packets and the number of silence packets.
S12: acquiring signaling surface time length in the VoLTE voice according to the signaling surface data, and acquiring media surface time length in the VoLTE voice call according to the media surface data;
it should be noted that, in the embodiments of the present invention, a signaling plane duration is obtained according to signaling plane data, and generally, the signaling plane duration is a difference between a call connection release time and a call connection establishment time; the embodiment of the invention acquires the media surface time length according to the number of the data packets in the media surface data and the time length of each data packet.
S13: acquiring the problem time length according to the signaling surface time length and the media surface time length;
note that the problem duration indicates a duration in which an abnormality occurs in the VoLTE voice call. The embodiment of the invention comprehensively analyzes the signaling surface data and the media surface data and obtains the problem time length according to the signaling surface time length and the media surface time length. Specifically, the embodiment of the present invention uses the difference between the signaling plane duration and the media plane duration as the problem duration. It can be understood that when the integrity of the VoLTE voice is excellent and there is no packet loss, the signaling plane duration is equal to the media plane duration, and when the difference between the signaling plane duration and the media plane duration is greater than the preset threshold, it indicates that there is a high possibility of abnormal situations such as packet loss, and the like, so the embodiment of the present invention obtains the problem duration according to the signaling plane duration and the media plane duration.
S14: and evaluating the integrity of the VoLTE voice according to the problem time length and the signaling surface time length.
It should be noted that the problem duration in the embodiment of the present invention represents a duration in which an abnormality occurs in a VoLTE voice call, and the embodiment of the present invention uses a signaling plane duration as a theoretical total duration of the call, and uses a ratio of the problem duration to the signaling plane duration as an index for integrity evaluation, where the integrity of the VoLTE voice is worse when the ratio of the problem duration to the signaling plane duration is larger, and conversely, the integrity of the VoLTE voice is better when the ratio of the problem duration to the signaling plane duration is smaller.
According to the VoLTE voice integrity evaluation method based on the big data, provided by the embodiment of the invention, the problem time length in the VoLTE voice is obtained by comprehensively analyzing the signaling surface data and the media surface data in the VoLTE voice, and then the voice integrity is evaluated according to the problem time length, so that the defect of inaccurate voice integrity evaluation caused by only considering the media surface data in the prior art is avoided, and the accuracy of the voice integrity evaluation result is improved.
In an alternative implementation of the embodiment of the present invention, similar to the method in fig. 1, the method further comprises:
judging whether the VoLTE voice is subjected to SRVCC switching or not;
if the SRVCC switching is judged to occur, the SRVCC switching state is judged;
if the SRVCC switching is judged to be successful, acquiring the signaling plane time length in the VoLTE voice according to the signaling plane data comprises the following steps:
and determining the first signaling surface time length in the VoLTE voice according to the call connection establishment time and the SRVCC switching completion response message sending time.
As shown in 101, 201, and 202 in fig. 2, when the SRVCC handover occurs and the SRVCC handover succeeds, the second signaling plane duration T2 is determined according to the call connection establishment time T11 and the SRVCC handover completion response message sending time T22, where T2 is T22-T11. Further, in another optional implementation manner of the embodiment of the present invention, the method further includes:
if the SRVCC switching does not occur, acquiring the signaling plane time length in the VoLTE voice according to the signaling plane data comprises the following steps:
and determining the first signaling surface time length in the VoLTE voice according to the call connection establishment time and the call connection release time in the VoLTE voice.
As shown in 101, 102 and 103 in fig. 2, when it is determined that the SRVCC handover does not occur, the first signaling plane time length T1 is determined according to the call connection establishment time T11 and the call connection release time T12, where T1 is T12-T11.
In practical application, AS shown in fig. 4, the time when the VOLTE AS sends the invite 200ok message of the calling UE-a or the time when the VOLTE AS sends the ACK message of the called UE-B may be used AS the call connection establishment time, which is the starting time of the signaling plane, i.e. T11 in fig. 4; the moment when the called UE-B receives the Bye message or the moment when the calling UE-a receives the Bye 200OK message may be used as the moment of releasing the call connection, which is the time point of terminating the signaling plane, i.e. T12 in fig. 4.
In another optional implementation manner of the embodiment of the present invention, the method further includes:
if the SRVCC switching is judged to occur and the SRVCC switching fails, acquiring the signaling plane time length in the VoLTE voice according to the signaling plane data, comprising:
and determining the first signaling surface time length in the VoLTE voice according to the call connection establishment time and the call connection release time in the VoLTE voice.
As shown in 101, 201, and 103 in fig. 2, when it is determined that the SRVCC handover occurs and the SRVCC handover fails, the first signaling plane duration T1 is determined according to the call connection establishment time T11 and the call connection release time T12, where T1 is T12-T11.
In practical application, as shown in fig. 5a and 5b, the Source MME sends an eMSC SRVCC handover REQUEST (SRVCC PS TO CS REQUEST) message, indicating that SRVCC handover occurs, which is a starting point of SRVCC, as shown in T21 in fig. 5; the Source MME sends an eMSC SRVCC handover COMPLETE response (SRVCC PS TO CS COMPLETE ACK) message, indicating that the SRVCC handover is successful, as T22 in fig. 5.
As shown in fig. 5b, the eMSC sends a Source MME SRVCC handover cancel response (SRVCC PS TO CS CANCELACK) message, indicating that the SRVCC handover failed.
In the process of determining the signaling plane duration, the SRVCC handover process is considered, when SRVCC handover occurs and is successful, the signaling plane duration is the second signaling plane duration T2, and when SRVCC handover does not occur or SRVCC handover fails although SRVCC handover occurs, the signaling plane duration is the first signaling plane duration T1. The embodiment of the invention eliminates the interference of SRVCC switching time on the evaluation of the voice integrity, and further improves the accuracy of the evaluation of the voice integrity. Further, when SRVCC handover occurs and SRVCC handover is successful, acquiring the problem duration according to the signaling plane duration and the media plane duration includes:
and acquiring the problem time length according to the second signaling surface time length and the media surface time length.
Further, when SRVCC handover does not occur or SRVCC handover fails although SRVCC handover occurs, acquiring the problem duration according to the signaling plane duration and the media plane duration includes:
and acquiring the problem time length according to the first signaling surface time length and the media surface time length.
Further, the acquiring the media plane duration in the VoLTE voice call according to the media plane data includes:
and acquiring the media surface time length in the VoLTE voice call according to the voice packet number, the voice packet time length, the silent packet number and the silent packet time length in the media surface data.
The Frame Type of the voice packet and the silence packet is specified in the 3GPP TS 26.201 specification, and the voice packet and the silence packet are counted separately according to the Frame Type.
In practical application, the voice packet duration is 20ms, the silence packet duration is 160ms, and when the number of voice packets in the media plane data is M and the number of silence packets is N, the media plane duration in the VoLTE voice call is T3 ═ 20 × M +160 × N (unit is ms).
Specifically, when the SRVCC handover occurs and the SRVCC handover is successful, the problem duration is T2-T3, and the problem duration for evaluating the voice integrity is proportional to
Figure BDA0001347194690000081
When SRVCC handover does not occur or SRVCC handover fails although SRVCC handover occurs, the problem duration is T1-T3, and the problem duration ratio for evaluating voice integrity is T1-T3
Figure BDA0001347194690000082
In practical application, the problem duration obtained by the method of the embodiment can be used for judging whether the problem duration is single-pass or not.
For example, the above method is used to extract the signaling plane duration 230.465 seconds of the data caller 15866795897 and the data callee 13853104356, the media plane duration 127.664 seconds, eSRVCC handover failure occurs 1 time, T1-T3 is 102.801 seconds, and the signaling plane duration minus the media plane duration (i.e., the problem duration) is too long.
Figure BDA0001347194690000091
The probe S1-U probes as follows: uplink packet loss is 86, and the packet loss rate is 1.48%; 18 downlink packet losses are achieved, and the packet loss rate is 0.54%; uplink perception single pass, and downlink is normal.
Fig. 6 is a schematic structural diagram of a VoLTE voice integrity evaluation apparatus based on big data according to an embodiment of the present invention. As shown in fig. 6, the apparatus of the embodiment of the present invention includes:
a voice data acquiring unit 61, configured to acquire signaling plane data and media plane data in VoLTE voice;
a voice time length obtaining unit 62, configured to obtain a signaling surface time length in the VoLTE voice according to the signaling surface data, and obtain a media surface time length in the VoLTE voice call according to the media surface data;
a problem duration obtaining unit 63, configured to obtain a problem duration according to the signaling plane duration and the media plane duration;
and an integrity evaluation unit 64, configured to evaluate the integrity of the VoLTE voice according to the question duration and the signaling plane duration.
According to the VoLTE voice integrity evaluation device based on the big data, provided by the embodiment of the invention, the problem time length in the VoLTE voice is obtained by comprehensively analyzing the signaling surface data and the media surface data in the VoLTE voice, and then the voice integrity is evaluated according to the problem time length, so that the defect of inaccurate voice integrity evaluation caused by only considering the media surface data in the prior art is avoided, and the accuracy of the voice integrity evaluation result is improved.
The VoLTE voice integrity evaluation device based on big data according to the embodiment of the present invention may be used to implement the above method embodiments, and the principle and technical effect are similar, which are not described herein again.
Fig. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Referring to fig. 7, the electronic device includes: a processor (processor)71, a memory (memory)72, and a bus 73; wherein,
the processor 71 and the memory 72 communicate with each other via a bus 73;
the processor 71 is configured to call program instructions in the memory 72 to execute the big-data-based VoLTE voice integrity assessment method provided by the above-mentioned embodiments of the methods.
Furthermore, the logic instructions in the memory 72 may be implemented in software functional units and stored in a computer readable storage medium when sold or used as a stand-alone product. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The present embodiment provides a computer program product comprising a computer program stored on a non-transitory computer-readable storage medium, the computer program comprising program instructions, which when executed by a computer, enable the computer to perform the big-data based VoLTE voice integrity assessment method provided by the above-mentioned method embodiments.
The present embodiment provides a non-transitory computer-readable storage medium, which stores computer instructions, which cause the computer to execute the large data-based VoLTE voice integrity assessment method provided in the above-mentioned method embodiments.
According to the VoLTE voice integrity evaluation method and device based on the big data, provided by the embodiment of the invention, the problem time length in the VoLTE voice is obtained by comprehensively analyzing the signaling surface data and the media surface data in the VoLTE voice, and then the voice integrity is evaluated according to the problem time length, so that the defect that the voice integrity evaluation is inaccurate due to the fact that only the media surface data is considered in the prior art is avoided, and the accuracy of the voice integrity evaluation result is improved.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may 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 means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It is to be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
In the description of the present invention, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description. Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: that the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.
The above examples are only for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (9)

1. A VoLTE voice integrity evaluation method based on big data is characterized by comprising the following steps:
acquiring signaling plane data and media plane data in VoLTE voice;
acquiring signaling surface time length in the VoLTE voice according to the signaling surface data, and acquiring media surface time length in the VoLTE voice call according to the media surface data;
acquiring the problem time length according to the signaling surface time length and the media surface time length;
evaluating the integrity of the VoLTE voice according to the problem duration and the signaling surface duration;
the method comprises the following steps that the ratio of problem time length to signaling surface time length is used as an index of integrity evaluation, when the ratio of the problem time length to the signaling surface time length is larger, the integrity of VoLTE voice is worse, and when the ratio of the problem time length to the signaling surface time length is smaller, the integrity of the VoLTE voice is better;
the signaling surface duration is the difference between the connection release time and the call connection establishment time;
the acquiring the media plane duration in the VoLTE voice call according to the media plane data comprises:
acquiring the media surface time length in the VoLTE voice call according to the voice packet number, the voice packet time length, the silent packet number and the silent packet time length in the media surface data;
the problem duration is the difference between the signaling plane duration and the media plane duration.
2. The method of claim 1, further comprising:
judging whether the VoLTE voice is subjected to SRVCC switching or not;
if the SRVCC switching is judged to occur, the SRVCC switching state is judged;
if the SRVCC switching is judged to be successful, acquiring the signaling plane time length in the VoLTE voice according to the signaling plane data comprises the following steps:
and determining the second signaling surface time length in the VoLTE voice according to the call connection establishment time and the SRVCC switching completion response message sending time.
3. The method of claim 2, further comprising:
if the SRVCC switching does not occur, acquiring the signaling plane time length in the VoLTE voice according to the signaling plane data comprises the following steps:
and determining the first signaling surface time length in the VoLTE voice according to the call connection establishment time and the call connection release time in the VoLTE voice.
4. The method of claim 2, further comprising:
if the SRVCC switching is judged to occur and the SRVCC switching fails, acquiring the signaling plane time length in the VoLTE voice according to the signaling plane data, comprising:
and determining the first signaling surface time length in the VoLTE voice according to the call connection establishment time and the call connection release time in the VoLTE voice.
5. The method of claim 2, wherein obtaining the problem duration according to the signaling plane duration and the media plane duration comprises:
and acquiring the problem time length according to the second signaling surface time length and the media surface time length.
6. The method according to any one of claims 3 or 4, wherein the obtaining the problem duration according to the signaling plane duration and the media plane duration comprises:
and acquiring the problem time length according to the first signaling surface time length and the media surface time length.
7. A VoLTE voice integrity assessment device based on big data is characterized by comprising:
the voice data acquisition unit is used for acquiring signaling plane data and media plane data in VoLTE voice;
a voice time length obtaining unit, configured to obtain a signaling surface time length in the VoLTE voice according to the signaling surface data, and obtain a media surface time length in the VoLTE voice call according to the media surface data;
a problem duration obtaining unit, configured to obtain a problem duration according to the signaling plane duration and the media plane duration;
the integrity evaluation unit is used for evaluating the integrity of the VoLTE voice according to the problem time length and the signaling surface time length;
the method comprises the following steps that the ratio of problem time length to signaling surface time length is used as an index of integrity evaluation, when the ratio of the problem time length to the signaling surface time length is larger, the integrity of VoLTE voice is worse, and when the ratio of the problem time length to the signaling surface time length is smaller, the integrity of the VoLTE voice is better;
the signaling surface duration is the difference between the connection release time and the call connection establishment time;
the acquiring the media plane duration in the VoLTE voice call according to the media plane data comprises:
acquiring the media surface time length in the VoLTE voice call according to the voice packet number, the voice packet time length, the silent packet number and the silent packet time length in the media surface data;
the problem duration is the difference between the signaling plane duration and the media plane duration.
8. An electronic device, comprising: a processor, a memory, and a bus; wherein,
the processor and the memory complete mutual communication through the bus;
the processor is used for calling the program instructions in the memory to execute the big data based VoLTE voice integrity assessment method of any of claims 1-6.
9. A non-transitory computer readable storage medium storing computer instructions that cause the computer to perform the big data based VoLTE voice integrity assessment method of any of claims 1-6.
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